WorldWideScience

Sample records for energy consumption management

  1. Energy Consumption Management of Virtual Cloud Computing Platform

    Science.gov (United States)

    Li, Lin

    2017-11-01

    For energy consumption management research on virtual cloud computing platforms, energy consumption management of virtual computers and cloud computing platform should be understood deeper. Only in this way can problems faced by energy consumption management be solved. In solving problems, the key to solutions points to data centers with high energy consumption, so people are in great need to use a new scientific technique. Virtualization technology and cloud computing have become powerful tools in people’s real life, work and production because they have strong strength and many advantages. Virtualization technology and cloud computing now is in a rapid developing trend. It has very high resource utilization rate. In this way, the presence of virtualization and cloud computing technologies is very necessary in the constantly developing information age. This paper has summarized, explained and further analyzed energy consumption management questions of the virtual cloud computing platform. It eventually gives people a clearer understanding of energy consumption management of virtual cloud computing platform and brings more help to various aspects of people’s live, work and son on.

  2. Energy Consumption Management in Design

    NARCIS (Netherlands)

    Smit, Jaap

    1997-01-01

    A survey of the basic issues in low power design is presented, including techniques for the analysis of energy consumption in the early design phase of analog and digital circuits. The concept of energy complexity will be introduced in conjunction with techniques for parameterized energy management.

  3. Managing environmental aspects resulting from energy consumption

    International Nuclear Information System (INIS)

    2001-01-01

    Human health and environmental impacts of fossil fuel energy consumptions are examined and the ongoing effort to align energy management plans with sustainable development strategies and environmental management systems is described. Human health impacts are manifested in mortality rates, hospital admissions, visits to emergency rooms and physicians' offices, reduced physical performance, increase in the use of medications, impaired pulmonary function and a variety of lesser (or less perceptible) effects. Environmental impacts are demonstrated through climatic change, increase in greenhouse gas emissions, increase in smog, acid rain, and soil, groundwater and surface water contamination. The importance of commitment, integrated planning, measurement and evaluation, periodic review and improvement and documentation in aligning energy and environmental management plans are highlighted, along with the need for behavioral and operational changes, the creation of employee awareness and training, and the adoption of green procurement and life cycle costing. Adoption of the ISO 14000 approach to managing energy consumption is also seen as an important step in the direction of integrated energy and environmental management and sustainable development

  4. Energy Management Systems to Reduce Electrical Energy Consumption

    OpenAIRE

    Oriti, Giovanna

    2015-01-01

    EXECUTIVE SUMMARY An energy management system comprises an electrical energy storage element such as a battery, renewable electrical energy sources such as solar and wind, a digital signal processing controller and a solid state power converter to interface the elements together. This hardware demonstration in the lab at the Naval Postgraduate School will focus on solid state power conversion methods to improve the reliability and efficiency of electrical energy consumption by Navy facilit...

  5. Informatics Solution for Energy Efficiency Improvement and Consumption Management of Householders

    Directory of Open Access Journals (Sweden)

    Simona-Vasilica Oprea

    2018-01-01

    Full Text Available Although in 2012 the European Union (EU has promoted energy efficiency in order to ensure a gradual 20% reduction of energy consumption by 2020, its targets related to energy efficiency have increased and extended to new time horizons. Therefore, in 2016, a new proposal for 2030 of energy efficiency target of 30% has been agreed. However, during the last years, even if the electricity consumption by households decreased in the EU-28, the largest expansion was recorded in Romania. Taking into account that the projected consumption peak is increasing and energy consumption management for residential activities is an important measure for energy efficiency improvement since its ratio from total consumption can be around 25–30%, in this paper, we propose an informatics solution that assists both electricity suppliers/grid operators and consumers. It includes three models for electricity consumption optimization, profiles, clustering and forecast. By this solution, the daily operation of appliances can be optimized and scheduled to minimize the consumption peak and reduce the stress on the grid. For optimization purpose, we propose three algorithms for shifting the operation of the programmable appliances from peak to off-peak hours. This approach enables the supplier to apply attractive time-of-use tariffs due to the fact that by flattening the consumption peak, it becomes more predictable, and thus improves the strategies on the electricity markets. According to the results of the optimization process, we compare the proposed algorithms emphasizing the benefits. For building consumption profiles, we develop a clustering algorithm based on self-organizing maps. By running the algorithm for three scenarios, well-delimited profiles are obtained. As for the consumption forecast, highly accurate feedforward artificial neural networks algorithm with backpropagation is implemented. Finally, we test these algorithms using several datasets showing their

  6. Efficient energy consumption and operation management in a smart building with microgrid

    International Nuclear Information System (INIS)

    Zhang, Di; Shah, Nilay; Papageorgiou, Lazaros G.

    2013-01-01

    Highlights: • An MILP model is formulated for energy consumption scheduling in a smart building. • Domestic appliances from multiple smart homes are considered. • Equipment operation and power consumption tasks starting time are scheduled. • Results from two examples indicate cost savings and power peak reduction. • Peak demand charge scheme is adopted to reduce the peak demand from grid. - Abstract: Microgrid works as a local energy provider for domestic buildings to reduce energy expenses and gas emissions by utilising distributed energy resources (DERs). The rapid advances in computing and communication capabilities enable the concept smart buildings become possible. Most energy-consuming household tasks do not need to be performed at specific times but rather within a preferred time. If these types of tasks can be coordinated among multiple homes so that they do not all occur at the same time yet still satisfy customers’ requirement, the energy cost and power peak demand could be reduced. In this paper, the optimal scheduling of smart homes’ energy consumption is studied using a mixed integer linear programming (MILP) approach. In order to minimise a 1-day forecasted energy consumption cost, DER operation and electricity-consumption household tasks are scheduled based on real-time electricity pricing, electricity task time window and forecasted renewable energy output. Peak demand charge scheme is also adopted to reduce the peak demand from grid. Two numerical examples on smart buildings of 30 homes and 90 homes with their own microgrid indicate the possibility of cost savings and electricity consumption scheduling peak reduction through the energy consumption and better management of DER operation

  7. Energy consumption: energy consumption in mainland Norway

    Energy Technology Data Exchange (ETDEWEB)

    Magnussen, Inger Helene; Killingland, Magnus; Spilde, Dag

    2012-07-25

    The purpose of this report is to describe trends in energy consumption in mainland Norway, with an emphasis on key trends within the largest consumer groups. We also explain common terms and concepts in the field of energy consumption. Finally, we look at forecasts for future energy consumption, produced by bodies outside NVE. Total final energy consumption in mainland Norway in 2009 was 207 TWh. The most important end-user groups are households, service industries, manufacturing industry and transport. In addition, the energy sector in mainland Norway consumed 15 TWh. Energy consumed in the energy sector is not considered as final consumption, as the energy is used to produce new energy products. The long-term trend in energy consumption in mainland Norway is that fuel in the transport sector and electricity for the energy sector increases, while energy consumption in other sectors flattens out. The main reason for an increased use of fuel in the transport sector is the rise in the number of motorised machinery and vehicles in mainland Norway. This has caused a rise in gasoline and diesel consumption of 75 per cent since 1976. The petroleum sector is the largest consumer of energy within the energy sector in mainland Norway, and electricity from onshore to platforms in the North Sea and to new shore side installations has led to a rise in electricity consumption from 1 TWh in 1995 to 5 TWh in 2009. The energy consumption in households showed flat trend from 1996 to 2009, after many years of growth. The main reasons are a warmer climate, higher energy prices, the use of heats pumps and more energy-efficient buildings. In the service industries, the growth in energy consumptions has slightly decreased since the late 1990s, for much the same reasons as for households. In manufacturing industries the energy consumption have flatten out mainly due to the closure of energy-intensive businesses and the establishment of new more energy-efficient businesses. Electricity is

  8. Energy consumption quota management of Wanda commercial buildings in China

    Science.gov (United States)

    Sun, D. B.; Xiao, H.; Wang, X.; Liu, J. J.; Wang, X.; Jin, X. Q.; Wang, J.; Xie, X. K.

    2016-08-01

    There is limited research of commercial buildings’ energy use data conducted based on practical analysis in China nowadays. Some energy consumption quota tools like Energy Star in U.S or VDI 3807 in Germany have limitation in China's building sector. This study introduces an innovative methodology of applying energy use quota model and empirical management to commercial buildings, which was in accordance of more than one hundred opened shopping centers of a real estate group in China. On the basis of statistical benchmarking, a new concept of “Modified coefficient”, which considers weather, occupancy, business layout, operation schedule and HVAC efficiency, is originally introduced in this paper. Our study shows that the average energy use quota increases from north to south. The average energy use quota of sample buildings is 159 kWh/(m2.a) of severe cold climate zone, 179 kWh/(m2.a) of cold zone, 188 kWh/(m2.a) of hot summer and cold winter zone, and 200 kWh/(m2.a) of hot summer and warm winter zone. The energy use quota model has been validated in the property management for year 2016, providing a new method of commercial building energy management to the industry. As a key result, there is 180 million energy saving potential based on energy quota management in 2016, equals to 6.2% saving rate of actual energy use in 2015.

  9. PARADOX OF ALTERNATIVE ENERGY CONSUMPTION: LEAN OR PROFLIGACY?

    Directory of Open Access Journals (Sweden)

    Eliza Safina

    2017-12-01

    Full Text Available Consumption of alternative energy resources is conventionally considered as an implement of lean management, main target of which is use of renewable (in terms of exhaustibility energy resources. However, when it comes to actual consumption of alternative energy resources, the contradiction is arisen between , the caused need of economy of non-renewable energy resources and rational environmental management and "providence" which is caused by cost reduction of energy consumption. What is the factual providence, how substantial is the dilemma between environmental friendliness and cost effectiveness in matters of energy savings, what is the significance of alternative energy consumption in countries with different economic types, what should balanced solution in energy mentioned issues are contemplated in current article.

  10. Energy engenderment: An industrialized perspective assessing the importance of engaging women in residential energy consumption management

    International Nuclear Information System (INIS)

    Elnakat, Afamia; Gomez, Juan D.

    2015-01-01

    This study assesses gender role and participation in energy utilization at the residential household level in an advanced industrial country setting. Two hundred and twenty one (221) standardized surveys of single-family residential households in San Antonio, Texas – the seventh largest city in the United States of America – are collected and used as a test case. The objective is to highlight the role of women in improving household energy efficiency. By coupling the behavioral and analytical sciences, studies such as this one provide better insight for the effective deployment of targeted energy efficiency programs that can benefit both households and municipalities while reducing impact on environmental resources. Study conclusions highlight 80% higher per capita consumption in female dominant households versus male dominant households (p=0.000) driven by approximately double the gas consumption in female-headed households (p=0.002), and 54% more electric usage (p=0.004). The higher use in female dominant homes is examined through the socio-demographic impacts of education, income, vintage of home occupied and size of home occupied. The theoretical framework and test case presented in this study promote the need for market segmented energy efficiency initiatives that better engage women in energy demand-side management in industrialized populated cities. -- Highlights: •Role of women in energy consumption is understudied in industrial settings. •There is a significant impact from women on energy consumption in test case. •Higher per capita, per square foot, and gas consumption are indicated for women. •Women’s intrinsic role at household level can allow for better energy efficiency

  11. Energy consumption and management in metal heat treatment implementation; Consommation et gestion d`energie dans la mise en oeuvre des traitements thermiques des metaux

    Energy Technology Data Exchange (ETDEWEB)

    Leroux, C. [Vide et Traitements Services, 92 - Gennevilliers (France)

    1996-12-31

    Energy management in the metal heat treatment sector, where thermal efficiency is generally poor, is based on an adequate power supply contract with utilities, a thorough evaluation of energy consumption from the various equipment, and systems for the limitation of energy consumption: warning signals when the contracted power is to be reached, power cut-off systems or intelligent cut-off/restart systems and global load management. For gas appliances, heat recovery combustors may be a solution

  12. Electrical appliance energy consumption control methods and electrical energy consumption systems

    Science.gov (United States)

    Donnelly, Matthew K [Kennewick, WA; Chassin, David P [Pasco, WA; Dagle, Jeffery E [Richland, WA; Kintner-Meyer, Michael [Richland, WA; Winiarski, David W [Kennewick, WA; Pratt, Robert G [Kennewick, WA; Boberly-Bartis, Anne Marie [Alexandria, VA

    2006-03-07

    Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

  13. Electrical appliance energy consumption control methods and electrical energy consumption systems

    Science.gov (United States)

    Donnelly, Matthew K [Kennewick, WA; Chassin, David P [Pasco, WA; Dagle, Jeffery E [Richland, WA; Kintner-Meyer, Michael [Richland, WA; Winiarski, David W [Kennewick, WA; Pratt, Robert G [Kennewick, WA; Boberly-Bartis, Anne Marie [Alexandria, VA

    2008-09-02

    Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

  14. Energy management in municipal heritage; Management de l'energie dans le patrimoine municipal

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2004-07-01

    Energie-Cites has organized a week dedicated to the practices of energy consumption management in the municipalities and to network practices for energy efficiency. Practical presentations and site visits provided the participants with many methodological elements on energy policy, electricity demand management, optimising the design of municipal buildings, energy efficiency, integrated logistics for use of biomass energy, methods of energy consumption monitoring, legal framework for energy efficiency. (A.L.B.)

  15. An Efficient Approach for Energy Consumption Optimization and Management in Residential Building Using Artificial Bee Colony and Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Fazli Wahid

    2016-01-01

    Full Text Available The energy management in residential buildings according to occupant’s requirement and comfort is of vital importance. There are many proposals in the literature addressing the issue of user’s comfort and energy consumption (management with keeping different parameters in consideration. In this paper, we have utilized artificial bee colony (ABC optimization algorithm for maximizing user comfort and minimizing energy consumption simultaneously. We propose a complete user friendly and energy efficient model with different components. The user set parameters and the environmental parameters are inputs of the ABC, and the optimized parameters are the output of the ABC. The error differences between the environmental parameters and the ABC optimized parameters are inputs of fuzzy controllers, which give the required energy as the outputs. The purpose of the optimization algorithm is to maximize the comfort index and minimize the error difference between the user set parameters and the environmental parameters, which ultimately decreases the power consumption. The experimental results show that the proposed model is efficient in achieving high comfort index along with minimized energy consumption.

  16. Smart energy management system

    Science.gov (United States)

    Desai, Aniruddha; Singh, Jugdutt

    2010-04-01

    Peak and average energy usage in domestic and industrial environments is growing rapidly and absence of detailed energy consumption metrics is making systematic reduction of energy usage very difficult. Smart energy management system aims at providing a cost-effective solution for managing soaring energy consumption and its impact on green house gas emissions and climate change. The solution is based on seamless integration of existing wired and wireless communication technologies combined with smart context-aware software which offers a complete solution for automation of energy measurement and device control. The persuasive software presents users with easy-to-assimilate visual cues identifying problem areas and time periods and encourages a behavioural change to conserve energy. The system allows analysis of real-time/statistical consumption data with the ability to drill down into detailed analysis of power consumption, CO2 emissions and cost. The system generates intelligent projections and suggests potential methods (e.g. reducing standby, tuning heating/cooling temperature, etc.) of reducing energy consumption. The user interface is accessible using web enabled devices such as PDAs, PCs, etc. or using SMS, email, and instant messaging. Successful real-world trial of the system has demonstrated the potential to save 20 to 30% energy consumption on an average. Low cost of deployment and the ability to easily manage consumption from various web enabled devices offers gives this system a high penetration and impact capability offering a sustainable solution to act on climate change today.

  17. Energy sustainability: consumption, efficiency, and ...

    Science.gov (United States)

    One of the critical challenges in achieving sustainability is finding a way to meet the energy consumption needs of a growing population in the face of increasing economic prosperity and finite resources. According to ecological footprint computations, the global resource consumption began exceeding planetary supply in 1977 and by 2030, global energy demand, population, and gross domestic product are projected to greatly increase over 1977 levels. With the aim of finding sustainable energy solutions, we present a simple yet rigorous procedure for assessing and counterbalancing the relationship between energy demand, environmental impact, population, GDP, and energy efficiency. Our analyses indicated that infeasible increases in energy efficiency (over 100 %) would be required by 2030 to return to 1977 environmental impact levels and annual reductions (2 and 3 %) in energy demand resulted in physical, yet impractical requirements; hence, a combination of policy and technology approaches is needed to tackle this critical challenge. This work emphasizes the difficulty in moving toward energy sustainability and helps to frame possible solutions useful for policy and management. Based on projected energy consumption, environmental impact, human population, gross domestic product (GDP), and energy efficiency, for this study, we explore the increase in energy-use efficiency and the decrease in energy use intensity required to achieve sustainable environmental impact le

  18. Energy consumption and energy prices

    International Nuclear Information System (INIS)

    Bentzen, J.

    1993-01-01

    Data are presented on energy consumption and energy prices related to a number of OECD (Organisation for Economic Co-operation and Development) lands covering the period 1951-1990. The information sources are described and the development of energy consumption and prices in Denmark are illustrated in relation to these other countries. The energy intensity (the relation between energy consumption and the gross national product) is dealt with. Here it is possible to follow development during the whole post-war period. It is generally understood that Denmark saved large amounts of energy after 1973-74 but, taken over the whole post-war period, savings and decline in energy-gross national product relations are less dramatic compared to conditions in other OECD countries. Energy coefficients or elasticities show the relative rise in consumption compared to the relative rise in gross national product (growth rate). This is shown to be typically unstable and an eventual connection with the amount of energy price increase and/or the growth rate of the national economy is considered. Results of Granger causuality tests on energy consumption, national income and energy prices are presented. Effective energy prices were very low in Denmark up to 1970 when they suddenly began to increase. Since the oil crisis Denmark's energy consumption has fallen whereas the other countries have used rather more energy than before. Effective promotion of energy savings must be seen in relation to the fact that the 1970 basis level of energy consumption and intensity was unusually high. The high effective energy prices have also encouraged energy savings in Denmark. (AB)

  19. Quantification of variables that affect energy consumption

    International Nuclear Information System (INIS)

    Warren, C.S.

    1993-01-01

    Facility energy consumption is the summation of a number of contributory factors, caused by equipment that uses energy in response to demands placed by the user and according to its particular design. While energy efficiency improvements usually concentrate on individual parts or systems, overall energy consumption is analyzed by examining the use of specific fuels. Because independent variables effect the consumption of these fuels, accurate comparisons of a facility's energy consumption for time-measured periods must include these effects. In many cases, it is possible to determine and quantify the effects of one or more of the independent variables through a statistically valid regression analysis of the data. The regression model can be linear, or be dependent on other functions such as powers, time lead or lag, or exponential. The most common model is linear, but other dependencies are often encountered. Regression analyses are not difficult to accomplish, and are included as one of the tools in most spreadsheet software. The analyses provide the energy manager with a means to better understand the energy consumption of his/her facility

  20. Energy management in municipal heritage; Management de l'energie dans le patrimoine municipal

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2004-07-01

    Energie-Cites has organized a week dedicated to the practices of energy consumption management in the municipalities and to network practices for energy efficiency. Practical presentations and site visits provided the participants with many methodological elements on energy policy, electricity demand management, optimising the design of municipal buildings, energy efficiency, integrated logistics for use of biomass energy, methods of energy consumption monitoring, legal framework for energy efficiency. (A.L.B.)

  1. Sustainable-energy managment practices in an energy economy

    Science.gov (United States)

    Darkwa, K.

    2001-10-01

    The economic survival of any nation depends upon its ability to produce and manage sufficient supplies of low-cost safe energy. The world's consumption of fossil fuel resources currently increasing at 3% per annum is found to be unsustainable. Projections of this trend show that mankind will exhaust all known reserves in the second half of the coming century. Governments, industrialists, commercial organizations, public sector departments and the general public have now become aware of the urgent requirements for the efficient management of resources and energy-consuming activities. Most organizations in the materials, manufacturing and retail sectors and in the service industries have also created energy management departments, or have employed consultants, to monitor energy consumption and to reduce wastage. Conversely, any sustained attempt to reduce rates of energy consumption even by as little as 0.1% per annum ensures relatively an eternal future supply as well as reduction on environmental and ecological effect. Thus, there is no long- term solution to energy flow problem other than systematic and effective energy management and the continuous application of the techniques of energy management. Essential energy management strategies in support of a sustainable energy- economy are discussed.

  2. uFLIP: Understanding the Energy Consumption of Flash Devices

    DEFF Research Database (Denmark)

    Bjørling, Matias; Bonnet, Philippe; Bouganim, Luc

    2010-01-01

    Understanding the energy consumption of flash devices is important for two reasons. First, energy is emerging as a key metric for data management systems. It is thus important to understand how we can reason about the energy consumption of flash devices beyond their approximate aggregate...... consumption (low power consumption in idle mode, average Watt consumption from the data sheets). Second, when measured at a sufficiently fine granularity, the energy consumption of a given device might complement the performance characteristics derived from its response time profile. Indeed, background work...... which is not directly observable with a response time profile appears clearly when energy is used as a metric. In this paper, we discuss the results from the {uFLIP} benchmark applied to four different {SSD} devices using both response time and energy as metric....

  3. Economic energy distribution and consumption in a microgrid Part 2

    DEFF Research Database (Denmark)

    Tahersima, Fatemeh; Stoustrup, Jakob; Andersen, Palle

    2014-01-01

    Energy management of a small scale electrical microgrid is investigated. The microgrid comprises residential houses with local renewable generation, consumption and storage units. The microgrid has the possibility of connection to the electricity grid as well to compensate energy decit of local...... power producers. The nal objective is to full the microgrid's energy demands mainly from the local electricity producers. The other objective is to manage power consumption such that the consumption cost is minimum for individual households. In this study, a hierarchical controller composed of three...... levels is proposed. Each layer from bottom to top focus on individual energy consuming units, individual buildings, and the microgrid respectively. At the middle layer, a model predictive controller is formulated to schedule the building's energy consumption using potential load exibilities. The top...

  4. Implementation and Validation of a Self-Consumption Maximization Energy Management Strategy in a Vanadium Redox Flow BIPV Demonstrator

    Directory of Open Access Journals (Sweden)

    Luis Fialho

    2016-06-01

    Full Text Available This paper presents the results of the implementation of a self-consumption maximization strategy tested in a real-scale Vanadium Redox Flow Battery (VRFB (5 kW, 60 kWh and Building Integrated Photovoltaics (BIPV demonstrator (6.74 kWp. The tested energy management strategy aims to maximize the consumption of energy generated by a BIPV system through the usage of a battery. Whenever possible, the residual load is either stored in the battery to be used later or is supplied by the energy stored previously. The strategy was tested over seven days in a real-scale VRF battery to assess the validity of this battery to implement BIPV-focused energy management strategies. The results show that it was possible to obtain a self-consumption ratio of 100.0%, and that 75.6% of the energy consumed was provided by PV power. The VRFB was able to perform the strategy, although it was noticed that the available power (either to charge or discharge varied with the state of charge.

  5. Energy Beverage Consumption Among Naval Aviation Candidates.

    Science.gov (United States)

    Sather, Thomas E; Delorey, Donald R

    2016-06-01

    Since the debut of energy beverages, the consumption of energy beverages has been immensely popular with young adults. Research regarding energy beverage consumption has included college students, European Union residents, and U.S. Army military personnel. However, energy beverage consumption among naval aviation candidates in the United States has yet to be examined. The purpose of this study was to assess energy beverage consumption patterns (frequency and volume) among naval aviation candidates, including attitudes and perceptions regarding the benefits and safety of energy beverage consumption. A 44-item survey was used to assess energy beverage consumption patterns of 302 students enrolled in the Aviation Preflight Indoctrination Course at Naval Air Station Pensacola, FL. Results indicated that 79% of participants (N = 239) reported consuming energy beverages within the last year. However, of those who reported consuming energy beverages within the last year, only 36% (N = 85) reported consuming energy beverages within the last 30 d. Additionally, 51% (N = 153) of participants reported no regular energy beverages consumption. The majority of participants consumed energy beverages for mental alertness (67%), mental endurance (37%), and physical endurance (12%). The most reported side effects among participants included increased mental alertness (67%), increased heart rate (53%), and restlessness (41%). Naval aviation candidates appear to use energy drinks as frequently as a college student population, but less frequently than expected for an active duty military population. The findings of this study indicate that naval aviation candidates rarely use energy beverages (less than once per month), but when consumed, they use it for fatigue management.

  6. Energy management in municipal heritage

    International Nuclear Information System (INIS)

    2004-01-01

    Energie-Cites has organized a week dedicated to the practices of energy consumption management in the municipalities and to network practices for energy efficiency. Practical presentations and site visits provided the participants with many methodological elements on energy policy, electricity demand management, optimising the design of municipal buildings, energy efficiency, integrated logistics for use of biomass energy, methods of energy consumption monitoring, legal framework for energy efficiency. (A.L.B.)

  7. Guide to energy management

    International Nuclear Information System (INIS)

    2006-03-01

    A systematic and practical guide to energy management. Energy management signifies here a methodology concerning how an organisation continuously can work on improving all aspects of energy efficiency and energy consumption. Focus is on how energy management can be implemented in the companies already existing environment management systems. Useful recommendations and examples are provided (ml)

  8. Based on the Hardware Resources Configurable Shanke PLC Building Energy Consumption Detection System

    Directory of Open Access Journals (Sweden)

    Cheng Guanghe

    2017-01-01

    Full Text Available According to the actual situation of the comprehensive office building and the functional requirements of the building energy consumption monitoring and management system, the office building energy consumption monitoring and management system is designed by using the hardware resource configurable Shanke PLC(SKPLC as the data collector. The system uses data bus technology and field data acquisition technology to achieve the building energy consumption data acquisition and management. Practice has proved that energy-saving effect is good.

  9. Changes in cotton gin energy consumption apportioned by ten functions

    Science.gov (United States)

    The public is concerned about air quality and sustainability. Cotton producers, gin owners and plant managers are concerned about rising energy prices. Both have an interest in cotton gin energy consumption trends. Changes in cotton gins’ energy consumption over the past fifty years, a period of ...

  10. Computer Profile of School Facilities Energy Consumption.

    Science.gov (United States)

    Oswalt, Felix E.

    This document outlines a computerized management tool designed to enable building managers to identify energy consumption as related to types and uses of school facilities for the purpose of evaluating and managing the operation, maintenance, modification, and planning of new facilities. Specifically, it is expected that the statistics generated…

  11. The analysis of energy consumption of a commercial building in Tianjin, China

    International Nuclear Information System (INIS)

    Zhao Jing; Zhu Neng; Wu Yong

    2009-01-01

    According to statistics and field investigation, the energy consumption situation and reality of commercial building is described in this paper. As the first step of large-scale public building energy efficiency supervision system encouraged by central government of China, the energy consumption of several typical commercial buildings and public buildings was analyzed in detail. The main contents of investigation are as follows: basic information of building, operational record of energy consumption equipment, energy consumption of indoor equipments, energy-efficiency assessment of energy consumption systems and equipments, investigation of behavior energy saving, etc. On this basis further analysis and diagnosis including indoor thermal and humid environment, operation state of air-conditioning water system, operation state of air-conditioning duct system and operation management of air-conditioning system were implemented. The results show that the most energy consumption of buildings in this city is commercial buildings, which can reach to about 240 W/m 2 per year. Further analysis tells that air conditioning systems play the major role of building energy consumption, and building energy saving has great potential in this city. In this paper, the ways of diagnosis work for building energy consumption are also described and discussed. Reasonable test, diagnosis and analysis are meaningful for building energy efficiency retrofit and management.

  12. Beverage consumption and adult weight management: A review.

    Science.gov (United States)

    Dennis, Elizabeth A; Flack, Kyle D; Davy, Brenda M

    2009-12-01

    Total energy consumption among United States adults has increased in recent decades, and energy-containing beverages are a significant contributor to this increase. Because beverages are less satiating than solid foods, consumption of energy-containing beverages may increase energy intake and lead to weight gain; trends in food and beverage consumption coinciding with increases in overweight and obesity support this possibility. The purpose of this review is to present what is known about the effect of beverage consumption on short-term (i.e., meal) energy intake, as well as longer-term effects on body weight. Specific beverages addressed include water, other energy-free beverages (diet soft drinks, coffee and tea), and energy-containing beverages (soft drinks, juices and juice drinks, milk and soy beverages, alcohol). Existing evidence, albeit limited, suggests that encouraging water consumption, and substituting water and other energy-free beverages (diet soft drinks, coffee and tea) for energy-containing beverages may facilitate weight management. Energy-containing beverages acutely increase energy intake, however long-term effects on body weight are uncertain. While there may be health benefits for some beverage categories, additional energy provided by beverages should be compensated for by reduced consumption of other foods in the diet.

  13. A cultural model of household energy consumption

    International Nuclear Information System (INIS)

    Lutzenhiser, Loren

    1992-01-01

    In this paper, we consider the development of demand-side research, from an early interest in conservation behavior to a later focus on physical, economic, psychological and social models of energy consumption. Unfortunately, none of these models account satisfactorily for measured energy consumption in the residential sector. Growing interest in the end-uses of energy (e.g. in support of load forecasting, demand-side management and least-cost utility planning), increasing international studies of energy use, and continuing work in the energy and lifestyles research tradition now support an emerging cultural perspective on household energy use. The ecological foundations of the cultural model and its applications in energy research are discussed, along with some of the analytic consequences of this approach. (author)

  14. Smart campus: Data on energy consumption in an ICT-driven university

    Directory of Open Access Journals (Sweden)

    Segun I. Popoola

    2018-02-01

    Full Text Available In this data article, we present a comprehensive dataset on electrical energy consumption in a university that is practically driven by Information and Communication Technologies (ICTs. The total amount of electricity consumed at Covenant University, Ota, Nigeria was measured, monitored, and recorded on daily basis for a period of 12 consecutive months (January–December, 2016. Energy readings were observed from the digital energy meter (EDMI Mk10E located at the distribution substation that supplies electricity to the university community. The complete energy data are clearly presented in tables and graphs for relevant utility and potential reuse. Also, descriptive first-order statistical analyses of the energy data are provided in this data article. For each month, the histogram distribution and time series plot of the monthly energy consumption data are analyzed to show insightful trends of energy consumption in the university. Furthermore, data on the significant differences in the means of daily energy consumption are made available as obtained from one-way Analysis of Variance (ANOVA and multiple comparison post-hoc tests. The information provided in this data article will foster research development in the areas of energy efficiency, planning, policy formulation, and management towards the realization of smart campuses. Keywords: Smart campus, Energy consumption, Energy efficiency, Load forecasting, Energy management

  15. Economic energy distribution and consumption in a microgrid Part1: Cell level controller

    DEFF Research Database (Denmark)

    Tahersima, Fatemeh; Andersen, Palle; Madsen, Per Printz

    2013-01-01

    We have investigated energy management of a small scale electrical microgrid comprised of local renewable generation, consumption and storage units. The microgrid has the possibility of connection to the electricity grid as well to compensate for energy deficit. The objective is to fulfill...... microgrid's energy demands from the local electricity producers as much as possible. The other objective is to manage the consumption such that consumption costs are minimum for all households. To fulfill the objectives, as the first step of designing a hierarchical controller, we focused on designing...... an energy and cost minimizing controller for one building. To this aim, a model predictive controller is formulated to schedule the building's energy consumption using potential load flexibility. Simulation results show the economically optimal energy consumption of one building based on the defined load...

  16. Energy Consumption Database

    Science.gov (United States)

    Consumption Database The California Energy Commission has created this on-line database for informal reporting ) classifications. The database also provides easy downloading of energy consumption data into Microsoft Excel (XLSX

  17. The effectiveness of energy management system on energy efficiency in the building

    Science.gov (United States)

    Julaihi, F.; Ibrahim, S. H.; Baharun, A.; Affendi, R.; Nawi, M. N. M.

    2017-10-01

    Energy plays a key role in achieving the desired economic growth for the country. Worldwide industries use 40 percent energy for material and consumption protection to fulfil human needs which contributes almost 37 percent of global greenhouse gases emissions. One of the approach in order to reduce the emission of greenhouse gases to the environment is by conserving energy. This could be executed by implementing energy management especially in commercial and office buildings as daily electricity consumption is high in this type of building. Energy management can also increase the efficiency of energy in the building. Study has been conducted to investigate the performance on implementation of energy management system in office building. Energy management is one of the contemporary challenges, thus study adopts an exploratory approach by using a tool developed by UNIDO called EnMS or Energy Management System. Findings show that by implementing energy management can reduce electricity consumption up to 30%. However, serious initiatives by the organization are needed to promote the effectiveness of energy management.

  18. Estimating potential saving with energy consumption behaviour model in higher education institutions

    Directory of Open Access Journals (Sweden)

    Mohd Hafizal Ishak

    2016-11-01

    Full Text Available Towards sustainable Higher Education Institutions (HEIs, energy consumption behaviour is one of several issues that require an attention by facilities manager. Information from the behavioural aspect would be useful for facilities manager on managing the energy and determining potential energy saving. A lack of information negatively affects this aim. Hence, this paper proposes a methodology for assessing the energy consumption behaviour with the objective determining potential energy saving. The method used energy culture framework as basis and joined with centrographic approach and multiple-regression analysis. A self-administrated survey carried out involving 1400 respondents in selected HEIs. There are four types of energy use among students in HEIs namely, 'high', 'low', ‘medium’ and 'conserve' determined from the centrographic analysis. The energy consumption behaviour model was developed and tested against the holdout sample. Through the model's application, there is a vast potential for energy savings with over 55 kWh daily among the students.

  19. monthly energy consumption forecasting using wavelet analysis

    African Journals Online (AJOL)

    User

    ABSTRACT. Monthly energy forecasts help heavy consumers of electric power to prepare adequate budget to pay their electricity bills and also draw the attention of management and stakeholders to electric- ity consumption levels so that energy efficiency measures are put in place to reduce cost. In this paper, a wavelet ...

  20. Electrical energy consumption control apparatuses and electrical energy consumption control methods

    Science.gov (United States)

    Hammerstrom, Donald J.

    2012-09-04

    Electrical energy consumption control apparatuses and electrical energy consumption control methods are described. According to one aspect, an electrical energy consumption control apparatus includes processing circuitry configured to receive a signal which is indicative of current of electrical energy which is consumed by a plurality of loads at a site, to compare the signal which is indicative of current of electrical energy which is consumed by the plurality of loads at the site with a desired substantially sinusoidal waveform of current of electrical energy which is received at the site from an electrical power system, and to use the comparison to control an amount of the electrical energy which is consumed by at least one of the loads of the site.

  1. Energy management in Lucknow city

    International Nuclear Information System (INIS)

    Zia, Hina; Devadas, V.

    2007-01-01

    In this paper, an attempt is made to prepare an energy management model for Lucknow city along with policy recommendations for optimal energy utilization and management. At the outset, the authors have reviewed the related literature on energy management in the urban system. The entire collected literature is divided into the following sections, such as, energy resource assessment, energy consumption, energy and economy, energy and environment, energy and transportation, forecasting the energy demand and supply, alternate energy sources and technologies, energy conservation and demand-side management and energy management measures in India, and are reviewed thoroughly and presented. Subsequently, an attempt is made to establish the importance of energy in urban development by using Systems concept. Lucknow city has been chosen for investigation in this study. A detailed methodology is developed for organizing the survey at the grassroots level to evolve feasible strategies for optimal energy management in the study area. An attempt is further made to assess the available energy resource in the city, and the energy consumption by source wise in the city and estimating the energy gap in the year 2011. The paper concludes with preparation of a detailed energy management model for Lucknow city to reduce the expected energy gap for the year 2011. The recommendations are made for supply augmentation, demand-side management and policy measures to be taken by the government authorities

  2. Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Yingchen [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Yang, Rui [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Jiang, Huaiguang [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Zhang, Kaiqing [University of Illinois Urbana-Champaign; Zhang, Jun Jason [University of Denver

    2017-08-17

    For decades, electricity customers have been treated as mere recipients of electricity in vertically integrated power systems. However, as customers have widely adopted distributed energy resources and other forms of customer participation in active dispatch (such as demand response) have taken shape, the value of mining knowledge from customer behavior patterns and using it for power system operation is increasing. Further, the variability of renewable energy resources has been considered a liability to the grid. However, electricity consumption has shown the same level of variability and uncertainty, and this is sometimes overlooked. This article investigates data analytics and forecasting methods to identify correlations between electricity consumption behavior and distributed photovoltaic (PV) output. The forecasting results feed into a predictive energy management system that optimizes energy consumption in the near future to balance customer demand and power system needs.

  3. Energy consumption declined in 1993

    International Nuclear Information System (INIS)

    Anon.

    1994-01-01

    On presenting the energy consumption figures for 1993 the Minister for Economic Affairs of Baden-Wuerttemberg Dieter Spoeri (SPD) spoke of the eternal task of saving energy. In his view the slight decline in energy consumption from 1992 to 1993 should not be interpreted as a greater willingness to save energy; its main cause is rather to be seen in the course of the economy. According to estimations, total energy consumption fell 0.5% and electricity consumption 1.0% from 1992 to 1993. The economy on the other hand, still a decisive factor in energy consumption, is estimated to have declined 3% during that period. In the ten years from 1983 to 1993 total energy consumption in the Land rose an average annual 1.8% while electricity consumption kept astride with the economy with an average annual rise 2.7%, he said. (orig./HP) [de

  4. Understanding the spectrum of domestic energy consumption: Empirical evidence from France

    International Nuclear Information System (INIS)

    Belaïd, Fateh

    2016-01-01

    This article focuses on residential energy consumption in France. Using a bottom-up statistical approach, this analysis explores determinants of household energy consumption using data from the most recent National Housing Survey. The primary objective is to tease out the impacts of various factors on the domestic energy consumption spectrum across different population groups. The aim of this approach is to neutralize conventional factors affecting energy consumption (age of house, total area, etc.) to finely analyze the impact of other determinants including those relating to household characteristics and other control variables. First, we define homogeneous consumption groups of households by using multivariate statistical techniques, namely the Multiple Correspondence Analysis and Ascending Hierarchical Classification. Second, we use standard OLS regression to explore the effects of various factors on domestic energy consumption among homogeneous groups of households. This multivariate analysis exercise has led us to identify four main consumption typologies. Results revealed that energy prices were the most important factors determining domestic energy consumption. In addition, this study showed that occupant characteristics significantly affect domestic energy use. Results of this research call for combine all efforts, multiple strategies and smart policies, to incorporate household and consumption behaviors in managing domestic energy consumption. - Highlights: •Survey data of 36,000 occupiers from France is analyzed. •Bottom-up statistical approach is used to analyze domestic energy consumption. •Occupant characteristics significantly affect domestic energy use. •The impact of households attributes varies markedly across consumption groups.

  5. The industrial energy consumption in 1999

    International Nuclear Information System (INIS)

    Anon.

    2001-01-01

    The Danish industrial energy consumption in 1999 is presented in tables. The tables include: the development in the energy consumption, the amount of employees in each of the main branches, fuel consumption, the fuel and energy consumption in 1999 based on each group of branches and energy category, the energy consumption in 1997 for each group of branches and the percentage distribution on energy category, and the fuel and energy consumption of motor vehicles in 1999 based on each group of branches. (SM)

  6. Modelling Electrical Energy Consumption in Automotive Paint Shop

    Science.gov (United States)

    Oktaviandri, Muchamad; Safiee, Aidil Shafiza Bin

    2018-03-01

    Industry players are seeking ways to reduce operational cost to sustain in a challenging economic trend. One key aspect is an energy cost reduction. However, implementing energy reduction strategy often struggle with obstructions, which slow down their realization and implementation. Discrete event simulation method is an approach actively discussed in current research trend to overcome such obstructions because of its flexibility and comprehensiveness. Meanwhile, in automotive industry, paint shop is considered the most energy consumer area which is reported consuming about 50%-70% of overall automotive plant consumption. Hence, this project aims at providing a tool to model and simulate energy consumption at paint shop area by conducting a case study at XYZ Company, one of the automotive companies located at Pekan, Pahang. The simulation model was developed using Tecnomatix Plant Simulation software version 13. From the simulation result, the model was accurately within ±5% for energy consumption and ±15% for maximum demand after validation with real system. Two different energy saving scenarios were tested. Scenario 1 was based on production scheduling approach under low demand situation which results energy saving up to 30% on the consumption. Meanwhile scenario 2 was based on substituting high power compressor with the lower power compressor. The results were energy consumption saving of approximately 1.42% and maximum demand reduction about 1.27%. This approach would help managers and engineers to justify worthiness of investment for implementing the reduction strategies.

  7. Energy Consumption Information Services for Smart Home Inhabitants

    Science.gov (United States)

    Schwanzer, Michael; Fensel, Anna

    We investigate services giving users an adequate insight on his or her energy consumption habits in order to optimize it in the long run. The explored energy awareness services are addressed to inhabitants of smart homes, equipped with smart meters, advanced communication facilities, sensors and actuators. To analyze the potential of such services, a game at a social network Facebook has been designed and implemented, and the information about players' responses and interactions within the game environment has been collected and analyzed. The players have had their virtual home energy usage visualized in different ways, and had to optimize the energy consumption basing on their own perceptions of the consumption information. Evaluations reveal, in particular, that users are specifically responsive to information shown as a real-time graph and as costs in Euro, and are able to produce and share with each other policies for managing their smart home environments.

  8. Greek long-term energy consumption prediction using artificial neural networks

    International Nuclear Information System (INIS)

    Ekonomou, L.

    2010-01-01

    In this paper artificial neural networks (ANN) are addressed in order the Greek long-term energy consumption to be predicted. The multilayer perceptron model (MLP) has been used for this purpose by testing several possible architectures in order to be selected the one with the best generalizing ability. Actual recorded input and output data that influence long-term energy consumption were used in the training, validation and testing process. The developed ANN model is used for the prediction of 2005-2008, 2010, 2012 and 2015 Greek energy consumption. The produced ANN results for years 2005-2008 were compared with the results produced by a linear regression method, a support vector machine method and with real energy consumption records showing a great accuracy. The proposed approach can be useful in the effective implementation of energy policies, since accurate predictions of energy consumption affect the capital investment, the environmental quality, the revenue analysis, the market research management, while conserve at the same time the supply security. Furthermore it constitutes an accurate tool for the Greek long-term energy consumption prediction problem, which up today has not been faced effectively.

  9. Monitoring and optimization of energy consumption of base transceiver stations

    International Nuclear Information System (INIS)

    Spagnuolo, Antonio; Petraglia, Antonio; Vetromile, Carmela; Formosi, Roberto; Lubritto, Carmine

    2015-01-01

    The growth and development of the mobile phone network has led to an increased demand for energy by the telecommunications sector, with a noticeable impact on the environment. Monitoring of energy consumption is a great tool for understanding how to better manage this consumption and find the best strategy to adopt in order to maximize reduction of unnecessary usage of electricity. This paper reports on a monitoring campaign performed on six BSs (Base Transceiver Stations) located central Italy, with different technology, typology and technical characteristics. The study focuses on monitoring energy consumption and environmental parameters (temperature, noise, and global radiation), linking energy consumption with the load of telephone traffic and with the air conditioning functions used to cool the transmission equipment. Moreover, using experimental data collected, it is shown, with a Monte Carlo simulation based on power saving features, how the BS monitored could save energy. - Highlights: • Energy consumption and environmental parameters of a base transceiver system have been monitored. • Energy consumption is related to the air conditioning functions and to the load of telephone traffic. • Energy saving can be obtained by careful choice of cooling parameters and by turn off BS transceivers. • Energy saving parameters can be estimated by a simulation Monte Carlo method

  10. Is the Consumption of Energy Drinks Associated With Academic Achievement Among College Students?

    Science.gov (United States)

    Champlin, Sara E; Pasch, Keryn E; Perry, Cheryl L

    2016-08-01

    Despite widely reported side effects, use of energy drinks has increased among college students, who report that they consume energy drinks to help them complete schoolwork. However, little is known about the association between energy drink use and academic performance. We explored the relationship between energy drink consumption and current academic grade point average (GPA) among first-year undergraduate students. Participants included 844 first-year undergraduates (58.1 % female; 50.7 % White). Students reported their health behaviors via an online survey. We measured energy drink consumption with two measures: past month consumption by number of drinks usually consumed in 1 month and number consumed during the last occasion of consumption. We used multiple linear regression modeling with energy drink consumption and current GPA, controlling for gender, race, weekend and weekday sleep duration, perceived stress, perceived stress management, media use, and past month alcohol use. We found that past month energy drink consumption quantity by frequency (p energy drinks consumed during the last occasion (p Energy drinks consumed during the last occasion of consumption (p = 0.01) remained significantly associated with a lower GPA when controlling for alcohol use. While students report using energy drinks for school-related reasons, our findings suggest that greater energy drink consumption is associated with a lower GPA, even after controlling for potential confounding variables. Longitudinal research is needed that addresses whether GPA declines after continued use of energy drinks or if students struggling academically turn to energy drinks to manage their schoolwork.

  11. Effect of energy taxes on energy consumption

    International Nuclear Information System (INIS)

    Johnsen, T.A.

    1991-01-01

    The energy consumption and taxation in Norway is described in addition to some of the consequences of this taxation on the energy market. Modelling of energy demand is dealt with. It is concluded that the influence of energy taxation on energy consumption is dependent on market conditions for individual energy products. This thesis is elaborated. (AB)

  12. Modeling Aggregate Hourly Energy Consumption in a Regional Building Stock

    Directory of Open Access Journals (Sweden)

    Anna Kipping

    2017-12-01

    Full Text Available Sound estimates of future heat and electricity demand with high temporal and spatial resolution are needed for energy system planning, grid design, and evaluating demand-side management options and polices on regional and national levels. In this study, smart meter data on electricity consumption in buildings are combined with cross-sectional building information to model hourly electricity consumption within the household and service sectors on a regional basis in Norway. The same modeling approach is applied to model aggregate hourly district heat consumption in three different consumer groups located in Oslo. A comparison of modeled and metered hourly energy consumption shows that hourly variations and aggregate consumption per county and year are reproduced well by the models. However, for some smaller regions, modeled annual electricity consumption is over- or underestimated by more than 20%. Our results indicate that the presented method is useful for modeling the current and future hourly energy consumption of a regional building stock, but that larger and more detailed training datasets are required to improve the models, and more detailed building stock statistics on regional level are needed to generate useful estimates on aggregate regional energy consumption.

  13. Household energy consumption and expenditures, 1990

    International Nuclear Information System (INIS)

    1993-01-01

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide

  14. The industrial energy consumption in 2003

    International Nuclear Information System (INIS)

    Anon.

    2004-01-01

    The statistics present the industry's energy consumption and composition, and the development from 1973 to 2003. In this period the composition of the energy consumption has changed considerably: a decrease in the consumption of liquid fuels and an increase in the consumption of natural gas and electric power. The energy consumption in the Danish industry decreased with almost 9 % from 2001 to 2003. This relatively large decrease was mainly due to the closing down of a steel factory. In the wood industry the energy consumption decreased with 36 % from 2001 to 2003, while the energy consumption in the electronics industry increased. (ln)

  15. Household energy consumption and expenditures 1993

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-10-05

    This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

  16. Building and household X-factors and energy consumption at the residential sector

    International Nuclear Information System (INIS)

    Estiri, Hossein

    2014-01-01

    Energy use in residential buildings is one of the major sources of greenhouse gas emission production from cities. Using microdata from the 2009 Residential Energy Consumption Survey (RECS), this study applies structural equation modeling to analyze the direct, indirect, and total impacts of household and building characteristics on residential energy consumption. Results demonstrate that the direct impact of household characteristics on residential energy consumption is significantly smaller than the corresponding impact from the buildings. However, accounting for the indirect impact of household characteristics on energy consumption, through choice of the housing unit characteristics, the total impact of households on energy consumption is just slightly smaller than that of buildings. Outcomes of this paper call for smart policies to incorporate housing choice processes in managing residential energy consumption. - Highlights: • Households indirectly influence residential energy use through housing choice. • Households' total impact on energy use is comparable to that of buildings. • Understanding households' indirect impact will enhance residential energy policy. • Smart energy policies are needed to target both direct and indirect effects

  17. Urban Systems and Energy Consumptions: A Critical Approach

    Directory of Open Access Journals (Sweden)

    Rocco Papa

    2014-05-01

    Full Text Available City transformations are also due to the development of new energy sources, which have influenced economy and lifestyles, as well as the physical and functional organization of urban systems. Cities are the key place where it is need to act for the achievement of strategic environmental objectives, such as reducing greenhouse gas emissions and energy saving. The hard resolution of these challenges depends on several factors: their multidimensional nature, the change of the economic and settlement development model, and also the complexity of the relationships between the elements that constitute the urban systems and that affect energy consumption. According to this awareness the Project Smart Energy Master for the energy management of territory financed by PON 04A2_00120 R & C Axis II, from 2012 to 2015 has been developed: it is aimed at supporting local authorities in the development of strategies for the reduction of energy consumption through actions designed to change behavior (in terms of use and energy consumption and to improve the energy efficiency of equipment and infrastructure. With the goal of describing some of the results of the methodological phase of this project, this paper proposes a review of the major studies on the issue of energy consumption at the urban scale in the first section; in the second section the outcomes of the first phase of the development of the comprehension/interpretive model related to the identification of the set of physical/environmental variables at urban scale, that most affect the energy consumption, are described; the third makes a critical review of the reference scientific literature, characterised by a too sectoral approach, compared to the complexity of the topic.

  18. Energy consumption in the dairy industry. Analysis of 1987. Energie in zuivel. Analyse 1987

    Energy Technology Data Exchange (ETDEWEB)

    1988-01-01

    The research on the title subject was carried out by the NOVEM (Dutch Agency for Energy and the Environment) aimed at planning energy conservation in the Dutch dairy industry for 1988. Data on the energy consumption (electric power and natural gas) were collected and are presented for: milk production on the farm; milk transport from the farm to the processing industry; cheese or butter production; production of consumption milk and derived products; production of evaporated milk; milk powder and whey powder production, and finally overall management and other products. 35 figs., 18 tabs., 1 app.

  19. Modeling an impact of road geometric design on vehicle energy consumption

    Science.gov (United States)

    Luin, Blaž; Petelin, Stojan; Al-Mansour, Fouad

    2017-11-01

    Some roads connect traffic origins and destinations directly, some use winding, indirect routes. Indirect connections result in longer distances driven and increased fuel consumption. A similar effect is observed on congested roads and mountain roads with many changes in altitude. Therefore a framework to assess road networks based on energy consumption is proposed. It has been shown that road geometry has significant impact on overall traffic energy consumption and emissions. The methodology presented in the paper analyzes impact of traffic volume, shares of vehicle classes, road network configuration on the energy used by the vehicles. It can be used to optimize energy consumption with efficient traffic management and to choose optimum new road in the design phase. This is especially important as the energy consumed by the vehicles shortly after construction supersedes the energy spent for the road construction.

  20. Guide to energy management; Veiledning for energiledelse

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-03-15

    A systematic and practical guide to energy management. Energy management signifies here a methodology concerning how an organisation continuously can work on improving all aspects of energy efficiency and energy consumption. Focus is on how energy management can be implemented in the companies already existing environment management systems. Useful recommendations and examples are provided (ml)

  1. Decomposition analysis of energy consumption for an freeway during its operation period: A case study for Guangdong, China

    International Nuclear Information System (INIS)

    Li, DuoQi; Wang, DuanYi

    2016-01-01

    Freeways have become the main subject of energy conservation reviews in China because of their large energy consumption. Decomposition analysis has been widely applied in energy consumption studies. However, most studies have only analyzed the driving forces of energy consumption on the national level, and seldom at smaller levels, e.g. for departments like toll stations and maintenance centers. Based on the characteristics of the freeway operation period, this paper serves as a preliminary attempt at applying the logarithm mean Divisia index method I on the department level to analyze the energy consumption of freeways during the operation period. To elucidate the evolution of energy consumption during the operational period, the logarithm mean Divisia index analysis was performed to disentangle the energy consumption based on a real case in Guangdong from 2005 to 2013. The analyses establish that the traffic volume influences energy consumption. The results show that some departments can influence the total energy consumption. For example, the tunnels and toll stations are key factors that influence the total energy consumption of the whole road. The decomposition in the departments revealed that energy efficiency improvements caused by the use of alternate materials and energy-saving technologies mainly contributed to energy conservation. - Highlights: • Decomposition model was used to analyze energy consumption of freeway management. • This attempt finds the impact of traffic volume on management energy consumption. • Tunnels and toll stations mainly affect the management energy consumption. • Using alternate materials and energy-saving technology improved energy efficiency.

  2. Does trade liberalization effect energy consumption?

    International Nuclear Information System (INIS)

    Ghani, Gairuzazmi M.

    2012-01-01

    The effect of trade liberalization on the environment can be directly linked to energy consumption, because energy consumption and production are the underlying cause of most pollutants that harm the environment. The descriptive statistics show that average annual growth of energy consumption per capita after trade liberalization varies among countries; hence it is a possibility that the effect of trade liberalization is conditional on factors other than liberalization per se. The regression results show that trade liberalization per se does not affect the growth of energy consumption of the developing countries analyzed, but its interaction with capital per labor reduces the growth of energy consumption as capital per labor increases. However, the effect is only significant after a certain minimum threshold level capital per labor is reached. On the other hand, economic growth increases energy consumption and its effect is not conditioned on trade liberalization. These two different effects mean that, with regards to energy consumption, countries at a higher level of economic development are more likely to reap the benefit of liberalization relative to less developed countries. - Research highlights: ► This paper examines the effect of trade liberalization on energy consumption. ► Developed countries are more likely to reap the benefit of trade liberalization. ► Growth of energy consumption after trade liberalization varies among countries. ► Interaction of capital per labor with liberalization reduces energy consumption.

  3. Towards Flexibility Detection in Device-Level Energy Consumption

    DEFF Research Database (Denmark)

    Neupane, Bijay; Pedersen, Torben Bach; Thiesson, Bo

    2014-01-01

    The increasing drive towards green energy has boosted the installation of Renewable Energy Sources (RES). Increasing the share of RES in the power grid requires demand management by flexibility in the consumption. In this paper, we perform a state-of-the-art analysis on the flexibility and operat......The increasing drive towards green energy has boosted the installation of Renewable Energy Sources (RES). Increasing the share of RES in the power grid requires demand management by flexibility in the consumption. In this paper, we perform a state-of-the-art analysis on the flexibility...... and operation patterns of the devices in a set of real households. We propose a number of specific pre-processing steps such as operation stage segmentation, and aberrant operation duration removal to clean device level data. Further, we demonstrate various device operation properties such as hourly and daily...... regularities and patterns and the correlation between operating different devices. Subsequently, we show the existence of detectable time and energy flexibility in device operations. Finally, we provide various results providing a foundation for load- and flexibility-detection and -prediction at the device...

  4. The industrial energy consumption in 2001

    International Nuclear Information System (INIS)

    Anon.

    2002-01-01

    The Danish industrial energy consumption in 2001 is presented in tables. The tables include: the development in the energy consumption, the amount of employees in each of the main branches, fuel consumption, the fuel and energy consumption in 2001 based on each group of branches and energy category, and the emission of CO 2 . (LN)

  5. Energy Management in Prosumer Communities: A Coordinated Approach

    Directory of Open Access Journals (Sweden)

    Rodrigo Verschae

    2016-07-01

    Full Text Available The introduction of uncontrollable renewable energy is having a positive impact on our health, the climate, and the economy, but it is also pushing the limits of the power system. The main reason for this is that, in any power system, the generation and consumption must match each other at all times. Thus, if we want to further introduce uncontrollable generation, we need a large ability to manage the demand. However, the ability to control the power consumption of existing demand management approaches is limited, and most of these approaches cannot contribute to the introduction of reneweables, because they do not consider distributed uncontrolled consumption and generation in the control. Furthermore, these methods do not allow users to exchange or jointly manage their power generation and consumption. In this context, we propose an augmented energy management model for prosumers (i.e., producer and consumer. This model considers controlled and uncontrolled generation and consumption, as well as the prosumer’s ability (i to plan the intended power consumption; and (ii to manage real-time deviations from the intended consumption. We apply this model to the energy management of prosumer communities, by allowing the prosumers to coordinate their power consumption plan, to manage the deviations from the intended consumption, and to help each other by compensating deviations. The proposed approach seeks to enhance the power system, and to enable a prosumer society that takes account social and environmental issues, as well as each prosumer’s quality of life.

  6. Energy consumption in the management of avocado orchards in Michoacán, Mexico

    OpenAIRE

    Anaya, Carlos A.; Burgos, Ana Laura

    2015-01-01

    Efficient fossil energy consumption in agricultural systems is a prerequisite for sustainable agricultural production. Fossil energy consumption (EC) in avocado orchard production in Michoacán, Mexico was analyzed. Process analysis was used to estimate both direct and indirect energy required for the various agricultural operations. Data on fuel and inputs used in production were obtained from structured questionnaires completed by 455 growers. Average annual EC was 28,880 MJ∙ha-1, but the da...

  7. Energy consumption: Past, present, future

    Science.gov (United States)

    1973-01-01

    The energy consumption history of the United States and the changes which could occur in consumption characteristics in the next 50 years are presented. The various sources of energy are analyzed to show the limitations involved in development and utilization as a function of time available. Several scenarios were prepared to show the consumption and supply of energy under varying conditions.

  8. Efficient, LON-based energy information management system; Effektives Energie-Informations-Management-System auf LON-Basis

    Energy Technology Data Exchange (ETDEWEB)

    Althaus, A.; Kalla, H. [Weidmueller GmbH, Paderborn (Germany)

    1999-08-01

    In these days of globalisation and increasing competition, intelligent concepts have become indispensable. The decentralized energy information management system offered by Weidmueller stores consumption data in a database that makes consumption transparent both to the utility and its customers. [Deutsch] Die Maerkte werden globaler, der Wettbewerb immer haerter. Wer hier als Energielieferant `im Rennen` bleiben will, muss intelligente, zukunftsweisende Konzepte zusammen mit seinen Kunden erarbeiten. Das dezentrale Energie-Informations-Management-System von Weidmueller erfasst dazu die Verbrauchsdaten, die wiederum die Datenbasis mit entsprechender Verbrauchstransparenz sowohl fuer den Energieversorger als auch fuer den Kunden bilden. (orig.)

  9. Energy consumption 2005 with Danish industry

    International Nuclear Information System (INIS)

    Anon.

    2006-01-01

    The energy consumption in the Danish industries decreased with 4% from 2003 to 2005. The consumption of liquid fuels and district heat decreased with 27% and 21%, respectively. The consumption of solid fuels increased with 13%. The aim of the statistics is to elucidate the industry's energy consumption and its composition. The statistics present the development in the industry from 1973 to 2005, in which period the composition of the energy consumption has changed significantly. Especially, consumption of liquid fuels has decreased and consumption of gas and electricity has increased. (ln)

  10. Management of Energy Consumption on Cluster Based Routing Protocol for MANET

    Science.gov (United States)

    Hosseini-Seno, Seyed-Amin; Wan, Tat-Chee; Budiarto, Rahmat; Yamada, Masashi

    The usage of light-weight mobile devices is increasing rapidly, leading to demand for more telecommunication services. Consequently, mobile ad hoc networks and their applications have become feasible with the proliferation of light-weight mobile devices. Many protocols have been developed to handle service discovery and routing in ad hoc networks. However, the majority of them did not consider one critical aspect of this type of network, which is the limited of available energy in each node. Cluster Based Routing Protocol (CBRP) is a robust/scalable routing protocol for Mobile Ad hoc Networks (MANETs) and superior to existing protocols such as Ad hoc On-demand Distance Vector (AODV) in terms of throughput and overhead. Therefore, based on this strength, methods to increase the efficiency of energy usage are incorporated into CBRP in this work. In order to increase the stability (in term of life-time) of the network and to decrease the energy consumption of inter-cluster gateway nodes, an Enhanced Gateway Cluster Based Routing Protocol (EGCBRP) is proposed. Three methods have been introduced by EGCBRP as enhancements to the CBRP: improving the election of cluster Heads (CHs) in CBRP which is based on the maximum available energy level, implementing load balancing for inter-cluster traffic using multiple gateways, and implementing sleep state for gateway nodes to further save the energy. Furthermore, we propose an Energy Efficient Cluster Based Routing Protocol (EECBRP) which extends the EGCBRP sleep state concept into all idle member nodes, excluding the active nodes in all clusters. The experiment results show that the EGCBRP decreases the overall energy consumption of the gateway nodes up to 10% and the EECBRP reduces the energy consumption of the member nodes up to 60%, both of which in turn contribute to stabilizing the network.

  11. 1999 world energy consumption (ENERDATA)

    International Nuclear Information System (INIS)

    Martin, J.M.

    2000-01-01

    Here is given a compilation of detailed statistical tables on various aspects of world energy production and consumption over the years 1994 to 1999. The present tables indicate the production, trade and consumption of crude oil, liquefied natural gas, oil products, natural gas, coal, lignite, electric power; the energy balance for the year 1999; the total energy consumption in European Union, Western Europe, North America, Japan and Pacific, CIS and Central Europe, Latin America, Asia, Middle East and Africa for the years 1994 to 1999. The CO 2 emissions for these countries are also given. These data are an extraction of the energy statistics yearbook, ENERDATA, June 2000. They are commented by Mr J.M. Martin. According to ENERDATA, the 1999 world energy consumption stagnates. (O.M.)

  12. Energy Consumption vs. Energy Requirement

    Science.gov (United States)

    Fan, L. T.; Zhang, Tengyan; Schlup, John R.

    2006-01-01

    Energy is necessary for any phenomenon to occur or any process to proceed. Nevertheless, energy is never consumed; instead, it is conserved. What is consumed is available energy, or exergy, accompanied by an increase in entropy. Obviously, the terminology, "energy consumption" is indeed a misnomer although it is ubiquitous in the…

  13. The relationship among energy prices and energy consumption in China

    International Nuclear Information System (INIS)

    Yuan, Chaoqing; Liu, Sifeng; Wu, Junlong

    2010-01-01

    The pricing mechanism for energy is not in line with the international standards, because the energy prices are controlled by the government partly or completely in China. Chinese government made a lot of efforts to improve the pricing mechanism for energy. The relations between Chinese energy prices and energy consumption are the foundations to reform the mechanism. In this paper, the relations between Chinese energy consumption and energy prices are researched by cointegration equations, impulse response functions, granger causality and variance decomposition. The cointegration relations among energy prices, energy consumption and economic outputs show that higher energy price will decrease energy consumption in Chinese industrial sectors but will not reduce the economic output in the long run. The cointegration relation between energy price and household energy consumption shows that higher energy price will decrease household energy consumption in the long run and increase it in the short run. So Chinese government should deepen the reform of pricing mechanism for energy, and increase the energy prices reasonably to save energy. (author)

  14. Conference on new consumption and commercialization models for photovoltaic energy

    International Nuclear Information System (INIS)

    Freier, Karin; Fontaine, Pierre; Mayer, Joerg; Jimenez, Julien; Richard, Pascal; Vogtmann, Michael; Schaefer, Felix; Martin, Nicolas; Buis, Sabine

    2014-01-01

    The French-German office for Renewable energies (OFAEnR) organised a conference on new consumption and commercialization models for photovoltaic energy. In the framework of this French-German exchange of experience, about 120 participants exchanged views on the new economic models for solar energy producers while the photovoltaic industry has to face a progressive reduction of feed-in tariffs and of other incentive mechanisms. Beside the legal and economic aspects, technical questions around energy storage and integration of photovoltaic production to the grid were also addressed. This document brings together the available presentations (slides) made during this event: 1 - Stimulating self-consumption and direct selling within the EEG (Karin Freier); 2 - Development of PV self-consumption in France (Pierre Fontaine); 3 - experience from applying the new support program for solar energy storage systems (Joerg Mayer); 4 - Call for solar photovoltaic projects for own consumption in Aquitaine region (Julien Jimenez); 5 - SMA Flexible Storage System - New version of the Sunny Island inverter for smart photovoltaic energy storage (Pascal Richard); 6 - PV Own Consumption in industry and commerce - examples und Operating Concepts (Michael Vogtmann); 7 - Supplying tenants in multiple-family housing with solar power in the 'Neue Heimat' project (Felix Schaefer); 8 - How to manage PV-storage self-consumption from a grid point of view? (Nicolas Martin); 9 - Closing talk (Sabine Buis)

  15. Concerned consumption. Global warming changing household domestication of energy

    International Nuclear Information System (INIS)

    Aune, Margrethe; Godbolt, Åsne Lund; Sørensen, Knut H.; Ryghaug, Marianne; Karlstrøm, Henrik; Næss, Robert

    2016-01-01

    This paper addresses possible effects of the growing focus on global warming on households’ domestication of energy and the dynamics of energy consumption by comparing data pertaining to the domestication of energy within Norwegian households from two time periods: first, 1991–1995, when climate change was given little public attention, and, second, 2006–2009, after climate change became a major public concern. In the first period, we observed that the domestication of energy resulted in an energy culture emphasizing comfort and convenience with respect to everyday life and the abundant supply of clean hydropower. In the second period, this culture seemed to have changed, making households more concerned about their energy consumption. Consumption of energy was linked to climate change, and many interviewees claimed to save energy. However, the dominant expectation was still to be able to manage everyday life in a convenient and comfortable way. Thus, climate change concerns produced some but not very radical changes in the practical domestication of energy, including energy saving. A main effect was feelings of guilt, tempered by arguments regarding why change is difficult and complaints about political inaction. Thus, public engagement with climate change issues may facilitate energy efficiency policy but to succeed, wider climate policy measures seem to be needed. - Highlights: • Increased climate change focus has affected household domestication of energy. • The changes produced concerns about energy consumption. • Some energy saving activities were reported. • Household energy cultures are less stable than anticipated. • Suggests wider climate policy measures to motivate for energy efficiency.

  16. Historical-statistical analysis of energy consumption in energy management; Analisis historico-estadistico del consumo energetico en la administracion de energia

    Energy Technology Data Exchange (ETDEWEB)

    Guizar Bejarano, Ruben [IMENOR (Mexico); Oven, Mark [RCG/Hagler, Bailly, Inc., Washington (United States)

    1993-12-31

    Traditionally the specific consumption of energy has been considered as the most adequate index to evaluate the efficiencies in the productive processes. Nevertheless, this index, in some instances is highly susceptible to suffer significant variations, due to factors such as equipment condition, raw materials quality, operational parameters, climate and production level. This last one definitely is the most important and requires a deeper analysis. In this presentation a methodology is developed to analyze the energy consumption as well as their specific energy consumption with respect to production. Enough historical data are utilized to allow for a statistical analysis. This study is of equal usefulness in an energy diagnosis, as in a management program of energy saving. In presenting the possibility of identifying potential energy saving, stands out the advantages of the analysis and the conclusions that can be derived from it. Through the actual data collected in several industries during the energy diagnosis, various possible results of the analysis are presented. Finally, how this type of analysis can be adapted to a more precise control of the energy consumption is described and be used as a base for establishing goals in energy efficiency in the long term. [Espanol] Tradicionalmente se ha considerado al consumo especifico de energia como el indice energetico mas adecuado para evaluar las eficiencias de los procesos productivos. Sin embargo, este indice es en ocasiones altamente susceptible a sufrir variaciones importantes, debido a factores como el estado de los equipos, la calidad de la materia prima, los parametros operativos, el clima, y el nivel de produccion. Este ultimo es decididamente el mas importante, y requiere un analisis mas profundo. En esta presentacion se desarrolla una metodologia para analizar tanto consumos de energia como consumos especificos de energia con respecto a la produccion. Se utilizan suficientes datos historicos para permitir

  17. Historical-statistical analysis of energy consumption in energy management; Analisis historico-estadistico del consumo energetico en la administracion de energia

    Energy Technology Data Exchange (ETDEWEB)

    Guizar Bejarano, Ruben [IMENOR (Mexico); Oven, Mark [RCG/Hagler, Bailly, Inc., Washington (United States)

    1992-12-31

    Traditionally the specific consumption of energy has been considered as the most adequate index to evaluate the efficiencies in the productive processes. Nevertheless, this index, in some instances is highly susceptible to suffer significant variations, due to factors such as equipment condition, raw materials quality, operational parameters, climate and production level. This last one definitely is the most important and requires a deeper analysis. In this presentation a methodology is developed to analyze the energy consumption as well as their specific energy consumption with respect to production. Enough historical data are utilized to allow for a statistical analysis. This study is of equal usefulness in an energy diagnosis, as in a management program of energy saving. In presenting the possibility of identifying potential energy saving, stands out the advantages of the analysis and the conclusions that can be derived from it. Through the actual data collected in several industries during the energy diagnosis, various possible results of the analysis are presented. Finally, how this type of analysis can be adapted to a more precise control of the energy consumption is described and be used as a base for establishing goals in energy efficiency in the long term. [Espanol] Tradicionalmente se ha considerado al consumo especifico de energia como el indice energetico mas adecuado para evaluar las eficiencias de los procesos productivos. Sin embargo, este indice es en ocasiones altamente susceptible a sufrir variaciones importantes, debido a factores como el estado de los equipos, la calidad de la materia prima, los parametros operativos, el clima, y el nivel de produccion. Este ultimo es decididamente el mas importante, y requiere un analisis mas profundo. En esta presentacion se desarrolla una metodologia para analizar tanto consumos de energia como consumos especificos de energia con respecto a la produccion. Se utilizan suficientes datos historicos para permitir

  18. Analytics for smart energy management tools and applications for sustainable manufacturing

    CERN Document Server

    Oh, Seog-Chan

    2016-01-01

    This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.

  19. Energy consumption trends in Lithuania

    International Nuclear Information System (INIS)

    Galinis, A.; Miskinis, V.

    2000-01-01

    The paper describes some problems related to integration into EU, current state of the Lithuania economy and energy sector and changes in energy consumption during transition period. It provides and analysis of the main indicators of energy consumption, such as the ratio of primary energy consumption to Gross Domestic Product (GDP), primary and final energy intensity and others based on estimates of Purchasing Power Parity. The paper also discusses problems arising at evaluation of economical and energy indices for the countries in transition and compares them with those existing in other countries of Central and Eastern Europe and in Western countries. It shows uneven tendencies of energy intensity occurring under transitions in Lithuania and other Baltic States. (author)

  20. OWL Ontologies and SWRL Rules Applied to Energy Management

    DEFF Research Database (Denmark)

    Rossello Busquet, Ana; Brewka, Lukasz Jerzy; Soler, José

    2011-01-01

    Energy consumption has increased considerably in the last years. How to reduce and make energy consumption more efficient in home environments has become of great interest for researchers. This could be achieved by introducing a Home Energy Management System (HEMS) into user residences. This system...... might allow the user to control the devices in the home network through an interface and apply energy management strategies to reduce and optimize their consumption. Furthermore, the number of devices and appliances found in users residences is increasing and these devices are usually manufactured...

  1. 2005 primary energy consumption in Germany

    International Nuclear Information System (INIS)

    Anon.

    2006-01-01

    According to preliminar calculations by the Arbeitsgemeinschaft Energiebilanzen (Working Party on Energy Balances, AGEB), the consumption of an aggregate 486 million TCE of primary energy resources in Germany last year was 1.3% below the level of the year before. Energy consumption was influenced by both the high level of prices and the development of the economy. Hardly any influence was attributable to the level of temperatures, which was largely unchanged compared to the figure of the year before. Oil consumption in 2005 in Germany dropped by nearly 2% to 174.8 million TCE. On the whole, oil with its 36% share in the energy balance remained by far the most important energy resource in Germany. Natural gas consumption of 110.4 million TCE was at the level of the year before. Its share in the primary energy balance rose slightly to 22.7%. Hard coal, because of lower use in power plants and the decline in iron making, showed a 4.6% drop in consumption to 62.8 million TCE. In this way, hard coal contributed 13% to total energy consumption. Lignite consumption dropped by 3.2% to 54.4 million TCE as a result of lower deliveries to power plants. Its 11.2% share in the total consumption of primary energy continued to make lignite the most important domestic energy resource. More than 90% of the lignite produced is used for electricity generation. The contribution to primary energy consumption of nuclear power dropped by more than 2% to 60.7 million TCE. Hydroelectric plants and wind power plants increased their contribution by 3.6%. The contribution to primary energy consumption made by all renewable energy resources rose to 4.6%. AGEB evaluates statistics of all areas of the power economy on the basis of standard criteria in order to combine these data in a comprehensive picture. Since 1994, the energy balances for Germany have been compiled by DIW on behalf of AGEB. (orig.)

  2. The Impact of Energy Consumption and Productivity Growth on Carbon Emissions in Ghana

    OpenAIRE

    Ishmael Ackah

    2014-01-01

    The environment plays two vital roles for mankind. It provides food and raw materials for production and consumption and also accepts the wastes generated through man’s activities and renders them harmless. This calls for sustainable environmental management. This study examines the impact of productivity growth, forest depletion, renewable energy consumption and non-renewable energy consumption on carbon emissions in Ghana. The findings suggest that productivity growth is the most important ...

  3. Energy consumption trends in Hawaii

    International Nuclear Information System (INIS)

    Kaya, Abidin; Yalcintas, Melek

    2010-01-01

    This study begins with a review of energy consumption by end-use sector in Hawaii. Then, the energy generated from renewable energy sources is analyzed between 1991 and 2006. The results show that while geothermal is a considerable source of renewable energy on the Island of Hawaii (also known as Big Island), fossil fuel is the main energy source in the State of Hawaii. The energy intensity index for the State of Hawaii is then calculated by dividing energy consumption per capita by the income per capita. The calculated energy intensity index reveals that energy consumption is directly controlled by per capita income. The results also indicate that the energy intensity index increases over time despite positive developments in energy efficient technologies. In the second part of the paper, the effect of the tourism industry on energy usage in the State of Hawaii is analyzed. The results show that tourism volume, measured in terms of tourist arrival numbers, does not change the energy consumption directly. However, a change in tourism volume does affect per capita income within a few months to a year. In the last part of the study, the energy efficiency index of Hawaii is compared with consumption averages for the US, California and the most energy efficient country in Europe, Denmark. The comparison shows that Hawaii lags behind California and Denmark in terms of energy efficiency. The comparison also shows that an increase in energy efficiency corresponds to an increase in per capita income across the board, which is in agreement with a recent report published by the American Physical Society.

  4. Energy consumption and conservation, evaluation

    International Nuclear Information System (INIS)

    Acket, C.

    2006-04-01

    The energy consumption is increasing of more than 1% each year. It is necessary to slow down this growth and much better to inverse it. Observing the main consumption posts, energy saving is possible at short dated for the residential sector and medium and long dated for the transports and the industry. Anyway the individual behaviors are essential. The author presents the situation for each posts, providing data on the energy consumption and saving and recommendations. (A.L.B.)

  5. Scheduling home-appliances to optimize energy consumption

    DEFF Research Database (Denmark)

    Rossello Busquet, Ana

    In order to optimize the energy consumption, energy demand peaks should be avoided, and energy consumption should be smoothly distributed over time. This can be achieved by setting a maximum energy consumption per user’s household. In other words, the overall consumption of the user’s appliances...

  6. Manufacturing consumption of energy 1991

    Energy Technology Data Exchange (ETDEWEB)

    1994-12-01

    This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

  7. The world energy consumption in 2005

    International Nuclear Information System (INIS)

    Lapillonne, B.

    2006-01-01

    Based on Enerdata 2005 data, this analysis presents the situation of the world energy consumption in 2005, the electric power consumption per region and production per source, the consumption increase for each energy source and the petroleum and gas consumption increase. (A.L.B.)

  8. Reduction of peak energy demand based on smart appliances energy consumption adjustment

    Science.gov (United States)

    Powroźnik, P.; Szulim, R.

    2017-08-01

    In the paper the concept of elastic model of energy management for smart grid and micro smart grid is presented. For the proposed model a method for reducing peak demand in micro smart grid has been defined. The idea of peak demand reduction in elastic model of energy management is to introduce a balance between demand and supply of current power for the given Micro Smart Grid in the given moment. The results of the simulations studies were presented. They were carried out on real household data available on UCI Machine Learning Repository. The results may have practical application in the smart grid networks, where there is a need for smart appliances energy consumption adjustment. The article presents a proposal to implement the elastic model of energy management as the cloud computing solution. This approach of peak demand reduction might have application particularly in a large smart grid.

  9. Integrated IDA–ANN–DEA for assessment and optimization of energy consumption in industrial sectors

    International Nuclear Information System (INIS)

    Olanrewaju, O.A.; Jimoh, A.A.; Kholopane, P.A.

    2012-01-01

    This paper puts forward an integrated approach, based on logarithmic mean divisia index (LMDI) – an index decomposition analysis (IDA) method, an artificial neural network (ANN) and a data envelopment analysis (DEA) for the analysis of total energy efficiency and optimization in an industrial sector. The energy efficiency assessment and the optimization of the proposed model use LMDI to decompose energy consumption into activity, structural and intensity indicators, which serve as inputs to the ANN. The ANN model is verified and validated by performing a linear regression comparison between the specifically measured energy consumption and the corresponding predicted energy consumption. The proposed approach utilizes the measure-specific, super-efficient DEA model for sensitivity analysis to determine the critical measured energy consumption and its optimization reductions. The proposed method is validated by its application to determine the efficiency computation and an analysis of historical data as well as the prediction and optimization capability of the Canadian industrial sector. -- Highlights: ► An integrated IDA–ANN–DEA model for energy management is proposed. ► The model relies on aggregate energy and GDP data. ► The model explains how energy can be managed in the Canadian Industrial sector.

  10. Data Acquisition and Transmission System for Building Energy Consumption Monitoring

    Directory of Open Access Journals (Sweden)

    Liang Zhao

    2013-01-01

    Full Text Available Building energy consumption monitoring and management system have been developed widely in China in order to gain the real-time data of energy consumption in buildings for analyzing it in the next state work. This paper describes a low-cost and small-sized collector based on the STM32 microcontroller, which can be placed in a building easily to implement the work of data acquisition, storage, and transmission. The collector gathers the electricity, water, heat, and energy consumption data through the RS485 field bus and stores the data into an SD card with mass storage, finally, using Internet to finish the communication and transmission to data server through TCP protocol. The collector has been used in application for two years, and the results show that the system is reliable and stable.

  11. Storying energy consumption: Collective video storytelling in energy efficiency social marketing.

    Science.gov (United States)

    Gordon, Ross; Waitt, Gordon; Cooper, Paul; Butler, Katherine

    2018-05-01

    Despite calls for more socio-technical research on energy, there is little practical advice to how narratives collected through qualitative research may be melded with technical knowledge from the physical sciences such as engineering and then applied in energy efficiency social action strategies. This is despite established knowledge in the environmental management literature about domestic energy use regarding the utility of social practice theory and narrative framings that socialise everyday consumption. Storytelling is positioned in this paper both as a focus for socio-technical energy research, and as one potential practical tool that can arguably enhance energy efficiency interventions. We draw upon the literature on everyday social practices, and storytelling, to present our framework called 'collective video storytelling' that combines scientific and lay knowledge about domestic energy use to offer a practical tool for energy efficiency management. Collective video storytelling is discussed in the context of Energy+Illawarra, a 3-year cross-disciplinary collaboration between social marketers, human geographers, and engineers to target energy behavioural change within older low-income households in regional NSW, Australia. Copyright © 2018 Elsevier Ltd. All rights reserved.

  12. Intelligent energy management; Intelligentes Energiemanagement

    Energy Technology Data Exchange (ETDEWEB)

    Schmidt, Carsten [Siemens AG, Nuernberg (Germany). Bereich Sales and Marketing; Kunzmann, Geo [Siemens AG, Nuernberg (Germany). Bereich Business Development

    2010-03-15

    As energy is getting shorter and increasingly expensive while consumption is increasing and legal regulations are getting stricter, intelligent energy management is becoming more necessary than ever. The autors propose an integrated strategy of ''identification - evaluation - saving''. They present a scalable energy management software that works also with existing hardware and helps to develop even savings potentials that are not identifiable at first glance. (orig.)

  13. Estimating the energy consumption impact of casual carpooling

    Energy Technology Data Exchange (ETDEWEB)

    Minett, P. [Trip Convergence Ltd, Epsom, Auckland (New Zealand); Pearce, J. [Trip Convergence Ltd, Remuera, Auckland (New Zealand)

    2011-07-01

    Some of the transportation energy consumed during peak commuter periods is wasted through slow running in congested traffic. Strategies to increase average vehicle occupancy (and reduce vehicle counts and congestion) could be expected to be at the forefront of energy conservation policies. Casual carpooling (also called 'slugging') is a system of carpooling without trip-by-trip pre-arrangement. It operates in three US cities, and has been suggested in New Zealand as a strategy for managing transportation challenges when oil prices rise. The objective of the paper is to find out if casual carpooling reduces energy consumption, and if so, how much. Energy consumption by single occupant vehicles; casual carpool vehicles; and a mix of buses and single occupant vehicles; are estimated and compared, and the impact on the rest of the traffic is calculated. The paper estimates that casual carpooling in San Francisco is conserving in the order of 1.7 to 3.5 million liters of gasoline per year, or 200-400 liters for each participant, much of which comes from the impact on the rest of the traffic. The paper concludes by calling for applied research to discover how to catalyze casual carpooling in other cities as a means of reducing transportation energy consumption. (authors)

  14. Estimating the Energy Consumption Impact of Casual Carpooling

    Directory of Open Access Journals (Sweden)

    Paul Minett

    2011-01-01

    Full Text Available Some of the transportation energy consumed during peak commuter periods is wasted through slow running in congested traffic. Strategies to increase average vehicle occupancy (and reduce vehicle counts and congestion could be expected to be at the forefront of energy conservation policies. Casual carpooling (also called “slugging” is a system of carpooling without trip-by-trip pre-arrangement. It operates in three US cities, and has been suggested in New Zealand as a strategy for managing transportation challenges when oil prices rise. The objective of the paper is to find out if casual carpooling reduces energy consumption, and if so, how much. Energy consumption by single occupant vehicles; casual carpool vehicles; and a mix of buses and single occupant vehicles; are estimated and compared, and the impact on the rest of the traffic is calculated. The paper estimates that casual carpooling in San Francisco is conserving in the order of 1.7 to 3.5 million liters of gasoline per year, or 200-400 liters for each participant, much of which comes from the impact on the rest of the traffic. The paper concludes by calling for applied research to discover how to catalyze casual carpooling in other cities as a means of reducing transportation energy consumption.

  15. Turkey's net energy consumption

    International Nuclear Information System (INIS)

    Soezen, Adnan; Arcaklioglu, Erol; Oezkaymak, Mehmet

    2005-01-01

    The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using an artificial neural-network (ANN) technique in order to determine the future level of energy consumption in Turkey. In this study, two different models were used in order to train the neural network. In one of them, population, gross generation, installed capacity and years are used in the input layer of the network (Model 1). Other energy sources are used in input layer of network (Model 2). The net energy consumption is in the output layer for two models. Data from 1975 to 2003 are used for the training. Three years (1981, 1994 and 2003) are used only as test data to confirm this method. The statistical coefficients of multiple determinations (R 2 -value) for training data are equal to 0.99944 and 0.99913 for Models 1 and 2, respectively. Similarly, R 2 values for testing data are equal to 0.997386 and 0.999558 for Models 1 and 2, respectively. According to the results, the net energy consumption using the ANN technique has been predicted with acceptable accuracy. Apart from reducing the whole time required, with the ANN approach, it is possible to find solutions that make energy applications more viable and thus more attractive to potential users. It is also expected that this study will be helpful in developing highly applicable energy policies

  16. Energy management in the Canadian airline industry

    Energy Technology Data Exchange (ETDEWEB)

    1982-09-01

    The purpose of this report was to outline the current status of the Canadian airline industry's energy performance and to outline energy management programs undertaken within the industry. The study also provides an aviation energy management information base developed through a comprehensive computer bibliographical review. A survey of the industry was undertaken, the results of which are incorporated in this report. The Canadian airline industry has recognized the importance of energy management and considerable measures have been introduced to become more energy efficient. The largest single contributor to improved productivity is the acquisition of energy efficient aircraft. Larger airlines in particular have implemented a number of conservation techniques to reduce fuel consumption. However, both large and small airlines would further benefit through incorporating techniques and programs described in the annotated bibliography in this study. Rising fuel prices and economic uncertainties will be contributing factors to a smaller average annual growth in fuel consumption during the 1980s. The lower consumption levels will also be a result of continuing energy conservation awareness, new technology improvements, and improvements in air traffic control. 98 refs., 4 figs., 6 tabs.

  17. RESOURCES CONSUMPTION MANAGEMENT AT THE NATIONAL LIBRARY OF IRAN

    Directory of Open Access Journals (Sweden)

    K. Naddafi, J. Nouri, R. Nabizadeh, N. Shahbod

    2007-07-01

    Full Text Available This paper studies the various resources (water, energy, paper as well as other wastes consumption management at the National Library of Iran in Tehran. After setting the targets and specifying the correct management framework of resources consumption through the green management schedule, the resources analysis in consumption pattern in National Library of Iran was set up. Some attempt plans were performed to find out management solutions to the related issues. For the achievement of this aim, the first step was considered the study of general conditions of the Library through several visits, completing the checklists and questionnaires and then gathering the necessary information and analyzing them. The results of the fuel consumption in transportations related to the National Library showed that the major pollutants produced by the transportation were CO2, CO, NOx, and hydrocarbons. The rate of CO2 had a maximum level of 904 Kg and CO was 6 Kg, NOx was 2 Kg and hydrocarbons were 0.58 Kg. Among the equipments, which use energy in the Library, refrigerators produce the levels of CO2, SO2 and NOx .The total level of CO2, SO2 and NOx produced by all the equipments were 1140.32 Kg, 3.9072 kg and 2.886 Kg respectively. The results of water investigations showed that the total water consumption was 45459 L/year and the greater part of it was related to irrigation of the garden in the courtyard which was equal to 32471 L/year. Regarding to the wastes, the results of 30 times sampling showed the highest level to be related to aluminum and paper and a computer analysis revealed these results in the rates of 19745 Kg/year of CO2, 77.54 Kg/year, SO2 57.4Kg/year NOx and particulate matter was 2.92 Kg/year. Following the investigations carried out in management, executive solutions were suggested which led to the conclusion that the Green Management System should be established at this organization which should result in optimum consumption of resources

  18. Energy information. Status, cost, and need for energy, consumption and fuel switching data

    International Nuclear Information System (INIS)

    Fultz, Keith O.; Milans, Flora H.; Hale, Richard A.; Weaver, Joanne E.; D'Amico, Nicholas C.

    1989-04-01

    In 1986, EIA's Manufacturing Energy Consumption Survey collected calendar year 1985 fuel switching and energy consumption information from a sample of manufacturers. Although the construction, agriculture, mining, fishing, and forestry segments of the industrial sector were not surveyed, in 1985 the manufacturing segment accounted for about 75 to 80 percent of the total energy consumed in the industrial sector. The results of the energy consumption segment of the survey were published in November 1988, and the results of the fuel switching segment were published in December 1988. In 1989, EIA will conduct the second triennial survey, collecting energy consumption and fuel switching data for 1988. EIA estimated that the cost of the survey to the U.S. government, consisting of EIA and Census Bureau costs to design and conduct the survey, was about $1.8 million (in 1988 dollars) and that the cost to the manufacturers participating in the survey was more than $4 million (in 1988 dollars). According to EIA's justification to the Office of Management and Budget (OMB) for the survey, most of the potential users of the survey data were federal offices. Officials of seven of the eight federal offices we contacted indicated various uses for the energy consumption data, such as updating the national input-output tables and energy accounts, analyzing the competitiveness of U.S. industries, and doing energy emergency contingency planning. Officials of five of the eight federal offices indicated uses for the fuel switching data and most frequently cited its use for contingency planning for emergencies or supply disruptions. EIA's justification to OMB also identified 17 states as potential users, but officials of the 3 state offices that we contacted told us that the EIA data would not be useful because it cannot be summarized for individual states

  19. Occupant behavior and energy consumption in dwellings: An analysis of behavioral models and actual energy consumption in the dutch housing stock

    Directory of Open Access Journals (Sweden)

    Merve Bedir

    2017-11-01

    Full Text Available Much is known about the increasing levels of energy consumption and environmental decay caused by the built environment. Also, more and more attention is shown to the energy consumption of dwellings, from the early design stage until the occupants start living in them. The increasing complexity of building technologies, the occupants’ preferences, and their needs and demands make it difficult to achieve the aimed energy consumption levels. The goal of reducing the energy consumption of dwellings and understanding the share of occupant behavior in it form the context of this research. Several studies have demonstrated the ‘energy performance gap’ between the calculated and the actual energy consumption levels of buildings, and have explored the reasons for it. The energy performance gap is either caused by calculation drawbacks, uncertainties of modeling weather conditions, construction defects regarding air tightness and insulation levels, or by occupant behavior. This research focuses on the last aspect, i.e. analyzing the relationship between occupant behavior and energy consumption in dwellings, understanding the determinants of energy consumption, and finding occupants’ behavioral patterns. There are several dimensions of occupant behavior and energy consumption of dwellings: dwelling characteristics including the energy and indoor comfort management systems, building envelope, lighting and appliances; occupant characteristics including the social, educational and economical; and actual behavior, including the control of heating, ventilation and lighting of spaces, and appliance use, hot water use, washing, bathing, and cleaning. Attempting to understand this complexity asks for a methodology that covers both quantitative and qualitative methods; and both cross-sectional and longitudinal data collection, working interdisciplinary among the domains of design for sustainability, environmental psychology, and building and design

  20. Trade and energy consumption in the Middle East

    International Nuclear Information System (INIS)

    Sadorsky, Perry

    2011-01-01

    Over the past 30 years many economies have experienced large increases in economic trade, income and energy consumption. This brings up an interesting question. How do increases in trade affect energy consumption? This study uses panel cointegration data estimation techniques to examine the impact of trade on energy consumption in a sample of 8 Middle Eastern countries covering the period 1980 to 2007. Short-run dynamics show Granger causality from exports to energy consumption, and a bi-directional feedback relationship between imports and energy consumption. Long run elasticities estimated from FMOLS show that a 1% increase in per capita exports increases per capita energy consumption by 0.11% while a one percent increase in per capita imports increases per capita energy consumption by 0.04%. These results are important in establishing that increased trade affects energy demand in the Middle East in both the short and long-run. This has implications for energy policy and environmental policy. - Research Highlights: → Trade affects energy consumption in Middle Eastern economies. → Short-run causality runs from exports to energy consumption. → There is a short-run feedback relationship between energy consumption and imports. → In the long-run a 1% increase in per capita exports increases per capita energy consumption by 0.11%. → In the long-run a 1% increase in per capita imports increases per capita energy consumption by 0.04%.

  1. Tools and measures for stimulation the efficient energy consumption. Integrated resource planning in Romania

    International Nuclear Information System (INIS)

    Scripcariu, Daniela; Scripcariu, Mircea; Leca, Aureliu

    1996-01-01

    The integrated resource planning is based on analyses of the energy generation and energy consumption as a whole. Thus, increasing the energy efficiency appears to be the cheapest, the most available and the most cost-effective energy resource. In order to stimulate the increase of efficiency of energy consumption, besides economic efficiency criteria for selecting technical solutions, additional tools and measures are necessary. The paper presents the main tools and measures needed to foster an efficient energy consumption. Actions meant to stimulate DSM (Demand-Side Management) implementation in Romania are proposed. The paper contains 5 sections. In the introduction, the main aspects of the DSM are considered, namely, where the programs are implemented, who is the responsible, which are the objectives and finally, how the DSM programs are implemented. The following tools in management of energy use are examined: the energy prices, the regulation in the field of energy efficiency, standards and norms, energy labelling of the products and energy education. Among the measures for managing the energy use, the paper takes into consideration the institutions responsible for DSM, for instance, the Romanian Agency for Energy Conservation (ARCE), decentralization of decision making, the program approaches and financing the actions aiming at improving the energy efficiency. Finally, the paper analyses the criteria in choosing adequate solutions of improving the energy efficiency

  2. Energy consumptions per sector; Les consommations d'energie par secteur

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2005-07-01

    This document presents the energy consumption data of France per energy type and sector of use in the form of tables and graphics for the last decade and sometimes before: 1 - residential and tertiary sector: energy consumption per energy source, energy consumption per use (coal, heavy and domestic fuels, natural gas, LPG (butane, propane), electricity), comparison of the share of each energy source between 1973 and 2003, 20 years of space heating data in main dwellings (1982-2002), district heating networks from 1987 to 1997; 2 - transportation sector: fuel consumption of individual cars in France (1990-2003, 1990-2002, 1990-2001, 1987-1999), some indicators about the energy consumption in transports in France (2000-2001); 3 - industry sector: consumption of fuel substitutes in the cement industry in 2001, importance and limitations. (J.S.)

  3. Development of a Context-Aware Smart Home Energy Manager (CASHEM)

    Energy Technology Data Exchange (ETDEWEB)

    Srivastava, Viraj [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Makhmalbaf, Atefe [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Parker, Graham B. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2013-03-01

    The research reported is part of a collaborative with Honeywell, Inc. to bring novel home energy management concepts and technologies to reduce energy consumption, reduce peak electricity demand, integrate renewable energy and storage technology, and change homeowner behavior to manage and consume less energy. The objective of the collaborative is to create a Context-Aware Smart Home Energy Manager (CASHEM) that dynamically schedules major home appliances according to conditions and homeowner convenience of service (CoS) preferences, monitors and analyzes energy consumption of appliances, recommends further energy saving actions, and engages/motivates the homeowner to adopt those recommendations.

  4. Smart campus: Data on energy consumption in an ICT-driven university.

    Science.gov (United States)

    Popoola, Segun I; Atayero, Aderemi A; Okanlawon, Theresa T; Omopariola, Benson I; Takpor, Olusegun A

    2018-02-01

    In this data article, we present a comprehensive dataset on electrical energy consumption in a university that is practically driven by Information and Communication Technologies (ICTs). The total amount of electricity consumed at Covenant University, Ota, Nigeria was measured, monitored, and recorded on daily basis for a period of 12 consecutive months (January-December, 2016). Energy readings were observed from the digital energy meter (EDMI Mk10E) located at the distribution substation that supplies electricity to the university community. The complete energy data are clearly presented in tables and graphs for relevant utility and potential reuse. Also, descriptive first-order statistical analyses of the energy data are provided in this data article. For each month, the histogram distribution and time series plot of the monthly energy consumption data are analyzed to show insightful trends of energy consumption in the university. Furthermore, data on the significant differences in the means of daily energy consumption are made available as obtained from one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests. The information provided in this data article will foster research development in the areas of energy efficiency, planning, policy formulation, and management towards the realization of smart campuses.

  5. Comparing the Life Cycle Energy Consumption, Global ...

    Science.gov (United States)

    Managing the water-energy-nutrient nexus for the built environment requires, in part, a full system analysis of energy consumption, global warming and eutrophication potentials of municipal water services. As an example, we evaluated the life cycle energy use, greenhouse gas (GHG) emissions and aqueous nutrient releases of the whole anthropogenic municipal water cycle starting from raw water extraction to wastewater treatment and reuse/discharge for five municipal water and wastewater systems. The assessed options included conventional centralized services and four alternative options following the principles of source-separation and water fit-for-purpose. The comparative life cycle assessment identified that centralized drinking water supply coupled with blackwater energy recovery and on-site greywater treatment and reuse was the most energyand carbon-efficient water service system evaluated, while the conventional (drinking water and sewerage) centralized system ranked as the most energy- and carbon-intensive system. The electricity generated from blackwater and food residuals co-digestion was estimated to offset at least 40% of life cycle energy consumption for water/waste services. The dry composting toilet option demonstrated the lowest life cycle eutrophication potential. The nutrients in wastewater effluent are the dominating contributors for the eutrophication potential for the assessed system configurations. Among the parameters for which variability

  6. Evaluation of corporate energy management practices of energy intensive industries in Turkey

    International Nuclear Information System (INIS)

    Ates, Seyithan Ahmet; Durakbasa, Numan M.

    2012-01-01

    Turkey is one of a number of countries who still lack a national management standard for energy. Industrial energy consumption accounts for 42% of Turkey's total energy consumption. With the help of a questionnaire and analytical framework, this paper investigates Industrial Energy Management Practice in Turkey and highlights significant bottlenecks and shortcomings of energy intensive industries in terms of energy management application. The survey was carried out as a multiple case study of the Turkish iron, steel, cement, paper, ceramics and textile industries. Outcomes of the questionnaire are evaluated according to the analytical framework which covers company characteristics, regulations, external relations of the companies and internal organizational conditions. After analyzing these elements on the basis of a minimum requirement list, it was found that only 22% of the surveyed companies actually practice corporate energy management in Turkey. The main barriers to proper energy management implementation were identified as lack of synergy between the stakeholders, the extent and scope of energy manager courses, and inadequate awareness of and lack of financial support for energy management activities. As a guideline to overcome present obstacles, a set of policy options are offered: strengthening and restructuring of legal and institutional frameworks, promotion of energy efficiency, education, training and capacity building and facilitating implementation of the international energy management standard ISO 50001. -- Highlights: ► Developing an analytical scheme to assess degree of Energy Management Application. ► Investigation of Energy Management Practices in Turkish Energy Intensive Industries. ► Analysis of challenges which hinder full implementation of energy management in Turkey. ► Presenting a set of essential policy options thought for all stakeholders.

  7. State energy data report 1992: Consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-01

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  8. Energy consumption in France's industry. Conjuncture note

    International Nuclear Information System (INIS)

    2015-04-01

    Energy consumption in the industry represents today 1/5 of France's end-use energy consumption. Gas and electricity are the most consumed and represent 2/3 of the overall. The 5 most energy consuming industries are the following: paper and cardboard industry, food industry, rubber, plastic and other non-metallic mineral products industry, metallurgy and chemical industry. The reduction of the industry's energy consumption is explained by the decline of production, but above all by the energy efficiency improvement of the sector. Technological innovations in production means have indeed led to reduce energy consumption

  9. Energy consumption and stocks of energy-converting artefacts

    International Nuclear Information System (INIS)

    Bladh, Mats

    2012-01-01

    The development of total energy consumption is important in a world with limited resources. It is the result of two basic tendencies working in opposite directions: growth in number and in use (such as more cars and driving more) and improvements in energy efficiency (such as more fuel-efficient engines). Since the 1970s growth of energy consumption has slowed down in Sweden. This means that increasing supply has been counteracted by measures improving overall energy efficiency to a larger degree than before. How can long-term development in energy consumption be analysed? This paper proposes a focus on stocks of energy-converting artefacts as a tool for such analyses. In order to show the fruitfulness of this approach, historical data on cars, dwellings and lamps in Sweden are used. Results from the cases in this paper show considerable gains of efficiency in fuel consumption in private cars and heating efficiency in multi-dwelling houses. Demographic factors are important for the outcome. The approach seems to promise a way to analyse energy efficiency that captures both promoting and counteracting factors at both the micro and macro level. - Highlights: ► Growth of energy consumption slowed down in the 1970s, a break in the long-run trend. ► Balance between growth and efficiency factors changes over time and areas of use. ► Savings in heating were not taken back, while those for cars were. ► Focus on stocks of artefacts is a promising tool for analyses. ► Incremental changes within existing stocks can be as big as radical changes.

  10. Energy consumption projection of Nepal: An econometric approach

    DEFF Research Database (Denmark)

    Parajuli, Ranjan; Østergaard, Poul A.; Dalgaard, Tommy

    2014-01-01

    In energy dependent economies, energy consumption is often linked with the growth in Gross Domestic Product (GDP). Energy intensity, defined herewith, as the ratio of the total primary energy consumption (TPE) to the GDP, is a useful concept for understanding the relation between energy demand...... and economic development. The scope of this article is to assess the future primary energy consumption of Nepal, and the projection is carried out along with the formulation of simple linear logarithmic energy consumption models. This initiates with a hypothesis that energy consumption is dependent...... with the national macro-economic parameters. To test the hypothesis, nexus between energy consumption and possible determinant variables are examined. Status of energy consumption between the period of 1996 and 2009, and for the same period, growth of economic parameters are assessed. Three scenarios are developed...

  11. Energy efficiency in a water supply system:Energy consumption and CO2 emission

    Institute of Scientific and Technical Information of China (English)

    Helena M.RAMOS; Filipe VIEIRA; Didia I.C.COVAS

    2010-01-01

    This paper presents important fundamentals associated with water and energy efficiency and highlights the importance of using renewable energy sources.A model of multi-criteria optimization for energy efficiency based on water and environmental management policies,including the preservation of water resources and the control of water pressure and energy consumption through a hybrid energy solution,was developed and applied to a water supply system.The methodology developed includes three solutions:(1)the use of a water turbine in pipe systems where pressures are higher than necessary and pressure-reducing valves are installed,(2)the optimization of pumping operation according to the electricity tariff and water demand,and(3)the use of other renewable energy sources,including a wind turbine,to supply energy to the pumping station,with the remaining energy being sold to the national electric grid.The use of an integrated solution(water and energy)proves to be a valuable input for creating benefits from available hydro energy in the water supply system in order to produce clean power,and the use of a wind source allows for the reduction of energy consumption in pumping stations,as well as of the CO2 emission to the atmosphere.

  12. Household energy and consumption and expenditures, 1990

    International Nuclear Information System (INIS)

    1993-01-01

    The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990

  13. Solutions for environmental reporting and energy management

    International Nuclear Information System (INIS)

    Suhonen, T.

    2004-01-01

    Especially two areas of energy applications - environmental reporting and energy management - are emphasized due to the current EU legislation and opening energy markets. Emissions reporting is driven by several EU directives and international agreements, like Emissions Trading Scheme. The directives guide implementation of the emission information management and reporting procedures, but requirements and differences defined by the local authorities are challenging both for the system supplier and for the energy producer. Energy management of industrial energy production (CHP) is an application, which offers real-time tools for forecasting mill's energy need and optimizing the energy balance between a mill's own production, purchases and consumption. This can bring significant reductions in mill energy costs and consumption. For these applications, the exact and well-managed information is needed. Data is retrieved from plant historians and event databases, ERP's and external sources. Calculation applications generate characteristic values (KPI's), which are used for monitoring operation, improving plant availability and boosting performance. Common office tools, like MS Excel, are the most convenient tools for reporting and processing information. Integration tools are needed to combine data from several sources to a single channel, handling messaging between applications and distributing information. (author)

  14. Energy management оf industrial enterprise

    Directory of Open Access Journals (Sweden)

    Lyaskovskaya E.A.

    2017-01-01

    Full Text Available In the intensifying condition of economic situation and increasing competitiveness in domestic and foreign markets, the most important way to develop competitive ability of an industrial company is to reduce energy costs in the production process. Insufficient level of the efficiency of energy resources usage affects an industrial company’s performance indicators and its investment attractiveness. A promising way of solving this matter is to develop and implement a strategy of rational energy consumption, which is aimed at the realization of company’s potential to optimize the consumption of electric energy by using internal and external resources in order to minimize energy costs. The strategy of rational energy consumption defines how an industrial company acquires electric energy and uses it to sustain the production. While developing and implementing the strategy, one should use a systemic and complex way and consider the following: peculiarities of electric energy and power as products; the structure of electric energy market and the possibilities of its consumers; peculiarities of price-formation on electric energy market; technical and technological, organizational and administrative, social and economic parameters of a company, characteristic features of its resource potential and production processes; the results of company’s energy efficiency audit and energy problems; company’s reserves that can increase its energy efficiency. An integral strategy of energy consumption includes a strategy for energy preservation and efficiency and a strategy for energy costs management. Both strategies are interrelated and serve for one purpose, which is minimizing the energy costs. This division helps simplify the analysis, search for alternatives and realization of energy management on operative, tactical and strategic levels, considering the regional and industry-specific peculiarities of an industrial company, its financial performance and

  15. BOLIVIA’S ENERGY CONSUMPTION AND ECONOMIC GROWTH PROFILE: IS THERE A LINK?

    Directory of Open Access Journals (Sweden)

    Ismail SOILE

    2016-01-01

    Full Text Available The fundamental importance of energy for socio-economic existence cannot be over-emphasized. With an annual average growth rate of 3.6% over the period of 1998 and 2008, the Bolivian economic statistics shows that over 60% of the country’s GDP growth rate can be attributed to its export sector. However, energy consumption also grew significantly over the same period. Thus we seek to establish the directional causality between energy consumption and economic growth in Bolivia using secondary annual data for the period of 1971 to 2010. The Granger-causality tests indicate that there is an unidirectional causality that runs from economic growth to energy consumption with no feedback. The study, therefore, recommends that policies meant to manage growing energy demand can be instituted without obstructing growth in Bolivia. Energy taxation and pricing reform can help raise additional revenue for development.

  16. Residential Energy Consumption Survey: Quality Profile

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-03-01

    The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

  17. A systems approach to reduce urban rail energy consumption

    International Nuclear Information System (INIS)

    González-Gil, A.; Palacin, R.; Batty, P.; Powell, J.P.

    2014-01-01

    Highlights: • An insightful overview of energy usage in urban rail systems is given. • The principal measures to reduce urban rail energy consumption are appraised. • A methodology is proposed to help implement energy saving schemes in urban rail. • Regenerative braking is shown to offer the greatest energy saving potential. - Abstract: There is increasing interest in the potential of urban rail to reduce the impact of metropolitan transportation due to its high capacity, reliability and absence of local emissions. However, in a context characterised by increasing capacity demands and rising energy costs, and where other transport modes are considerably improving their environmental performance, urban rail must minimise its energy use without affecting its service quality. Urban rail energy consumption is defined by a wide range of interdependent factors; therefore, a system wide perspective is required, rather than focusing on energy savings at subsystem level. This paper contributes to the current literature by proposing an holistic approach to reduce the overall energy consumption of urban rail. Firstly, a general description of this transport mode is given, which includes an assessment of its typical energy breakdown. Secondly, a comprehensive appraisal of the main practices, strategies and technologies currently available to minimise its energy use is provided. These comprise: regenerative braking, energy-efficient driving, traction losses reduction, comfort functions optimisation, energy metering, smart power management and renewable energy micro-generation. Finally, a clear, logical methodology is described to optimally define and implement energy saving schemes in urban rail systems. This includes general guidelines for a qualitative assessment and comparison of measures alongside a discussion on the principal interdependences between them. As a hypothetical example of application, the paper concludes that the energy consumption in existing urban

  18. Data mining, mining data : energy consumption modelling

    Energy Technology Data Exchange (ETDEWEB)

    Dessureault, S. [Arizona Univ., Tucson, AZ (United States)

    2007-09-15

    Most modern mining operations are accumulating large amounts of data on production and business processes. Data, however, provides value only if it can be translated into information that appropriate users can utilize. This paper emphasized that a new technological focus should emerge, notably how to concentrate data into information; analyze information sufficiently to become knowledge; and, act on that knowledge. Researchers at the Mining Information Systems and Operations Management (MISOM) laboratory at the University of Arizona have created a method to transform data into action. The data-to-action approach was exercised in the development of an energy consumption model (ECM), in partnership with a major US-based copper mining company, 2 software companies, and the MISOM laboratory. The approach begins by integrating several key data sources using data warehousing techniques, and increasing the existing level of integration and data cleaning. An online analytical processing (OLAP) cube was also created to investigate the data and identify a subset of several million records. Data mining algorithms were applied using the information that was isolated by the OLAP cube. The data mining results showed that traditional cost drivers of energy consumption are poor predictors. A comparison was made between traditional methods of predicting energy consumption and the prediction formed using data mining. Traditionally, in the mines for which data were available, monthly averages of tons and distance are used to predict diesel fuel consumption. However, this article showed that new information technology can be used to incorporate many more variables into the budgeting process, resulting in more accurate predictions. The ECM helped mine planners improve the prediction of energy use through more data integration, measure development, and workflow analysis. 5 refs., 11 figs.

  19. Uncertainty analysis of energy consumption in dwellings

    Energy Technology Data Exchange (ETDEWEB)

    Pettersen, Trine Dyrstad

    1997-12-31

    This thesis presents a comprehensive study of an energy estimation model that can be used to examine the uncertainty of predicted energy consumption in a dwelling. The variation and uncertainty of input parameters due to the outdoor climate, the building construction and the inhabitants are studied as a basis for further energy evaluations. The occurring variations of energy consumption in nominal similar dwellings are also investigated due to verification of the simulated energy consumption. The main topics are (1) a study of expected variations and uncertainties in both input parameters used in energy consumption calculations and the energy consumption in the dwelling, (2) the development and evaluation of a simplified energy calculation model that considers uncertainties due to the input parameters, (3) an evaluation of the influence of the uncertain parameters on the total variation so that the most important parameters can be identified, and (4) the recommendation of a simplified procedure for treating uncertainties or possible deviations from average conditions. 90 refs., 182 figs., 73 tabs.

  20. Energy Management Programmes for Industry

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-09-05

    The IEA Policy Pathway publications provide details on how to implement specific recommendations drawn from the IEA 25 Energy Efficiency Policy Recommendations. This Policy Pathway, jointly produced by the International Energy Agency and the Institute for Industrial Productivity, develops the critical steps for policy makers implementing energy management programmes for industry. Optimising energy use in industry is essential to improve industrial competitiveness and achieve wider societal goals such as energy security, economic recovery and development, climate change mitigation and environmental protection. While there is significant potential to decrease energy consumption in this sector, opportunities to improve energy efficiency are still under-exploited. Energy management programmes have shown to be instrumental in addressing many of the barriers that inhibit wide-scale uptake of energy management in industry. The Policy Pathway builds on lessons learned from country experiences and provides actionable guidance on how to plan and design, implement, evaluate and monitor energy management programmes for industry.

  1. Hypercoagulability after energy drink consumption.

    Science.gov (United States)

    Pommerening, Matthew J; Cardenas, Jessica C; Radwan, Zayde A; Wade, Charles E; Holcomb, John B; Cotton, Bryan A

    2015-12-01

    Energy drink consumption in the United States has more than doubled over the last decade and has been implicated in cardiac arrhythmias, myocardial infarction, and even sudden cardiac death. We hypothesized that energy drink consumption may increase the risk of adverse cardiovascular events by increasing platelet aggregation, thereby resulting in a relatively hypercoagulable state and increased risk of thrombosis. Thirty-two healthy volunteers aged 18-40 y were given 16 oz of bottled water or a standardized, sugar-free energy drink on two separate occasions, 1-wk apart. Beverages were consumed after an overnight fast over a 30-min period. Coagulation parameters and platelet function were measured before and 60 min after consumption using thrombelastography and impedance aggregometry. No statistically significant differences in coagulation were detected using kaolin or rapid thrombelastography. In addition, no differences in platelet aggregation were detected using ristocetin, collagen, thrombin receptor-activating peptide, or adenosine diphosphate-induced multiple impedance aggregometry. However, compared to water controls, energy drink consumption resulted in a significant increase in platelet aggregation via arachidonic acid-induced activation (area under the aggregation curve, 72.4 U versus 66.3 U; P = 0.018). Energy drinks are associated with increased platelet activity via arachidonic acid-induced platelet aggregation within 1 h of consumption. Although larger clinical studies are needed to further address the safety and health concerns of these drinks, the increased platelet response may provide a mechanism by which energy drinks increase the risk of adverse cardiovascular events. Copyright © 2015 Elsevier Inc. All rights reserved.

  2. Energy Threshold Hypothesis for Household Consumption

    International Nuclear Information System (INIS)

    Ortiz, Samira; Castro-Sitiriche, Marcel; Amador, Isamar

    2017-01-01

    A strong positive relationship among quality of life and electricity consumption at impoverished countries is found in many studies. However, previous work has presented that the positive relationship does not hold beyond certain electricity consumption threshold. Consequently, there is a need of exploring the possibility for communities to live with sustainable level of energy consumption without sacrificing their quality of life. The Gallup-Healthways Report measures global citizen’s wellbeing. This paper provides a new outlook using these elements to explore the relationships among actual percentage of population thriving in most countries and their energy consumption. A measurement of efficiency is computed to determine an adjusted relative social value of energy considering the variability in the happy life years as a function of electric power consumption. Adjustment is performed so single components don’t dominate in the measurement. It is interesting to note that the countries with the highest relative social value of energy are in the top 10 countries of the Gallup report.

  3. Energy Efficient Refrigeration and Flexible Power Consumption in a Smart Grid

    DEFF Research Database (Denmark)

    Hovgaard, Tobias Gybel; Halvgaard, Rasmus; Larsen, Lars F.S.

    2011-01-01

    . With modern Economic Model Predictive Control (MPC) methods we make use of weather forecasts and predictions of varying electricity prices to apply more load to the system when the thermodynamic cycle is most efficient, and to consume larger shares of the electricity when the demand and thereby the prices...... are low. The ability to adjust power consumption according to the demands on the power grid is a highly wanted feature in a future Smart Grid. Efficient utilization of greater amounts of renewable energy calls for solutions to control the power consumption such that it increases when an energy surplus...... is available and decreases when there is a shortage. This should happen almost instantly to accommodate intermittent energy sources as e.g. wind turbines. We expect our power management solution to render systems with thermal storage capabilities suitable for flexible power consumption. The aggregation...

  4. Balancing energy and environment: The effect and perspective of management instruments in China

    International Nuclear Information System (INIS)

    Fang, Yiping; Zeng, Yong

    2007-01-01

    The rapid growth of Chinese economy has tremendously stimulated the expansion of energy consumption. The structure of energy consumption in China is featured with the coal domination. Air pollution is becoming increasingly severe. As a result, we are confronted with the extremely arduous task to balance energy consumption and environmental protection. In order to coordinate the relationship between energy consumption and environmental protection in a strategic way, this paper analyzes comprehensively the instruments, effects and perspectives of energy-related environmental management. Meanwhile, this paper illustrates the barriers and challenges facing the energy and energy-related environmental management in China, and suggests a priority strategy of management instrument, mainly composed of energy-saving, optimization of energy structure, promulgation of environmental standards, advance in environmental technologies, internalization of environmental costs, establishment of a public benefit fund and adoption of a Renewable Portfolio System. (author)

  5. Energy consumptions of households in 2012

    International Nuclear Information System (INIS)

    Denjean, Mathias

    2015-06-01

    Based on results of a survey, this publication comments data presented under the form of tables and graphs and related to the energy consumption by French households during 2012. It addresses expenses and consumptions for individual housing and for a flat in collective building, analyses the energy consumption with respect to surface in the case of individual housing, discusses the influence of dwelling age on consumption, the influence of geographical location in France, the influence o the residence status (owner or renter), and the influence of dwelling occupation (hours per day), and the distribution of the type of consumed energy (electricity, gas, oil, LPG, wood, other) and the money spent on these different energies. The type of energy is also related to the residence status, to the housing type (house or flat), to the flat surface, to the housing type and age, to the geographical location

  6. Energy efficiency in a water supply system: Energy consumption and CO2 emission

    Directory of Open Access Journals (Sweden)

    Helena M. Ramos

    2010-09-01

    Full Text Available This paper presents important fundamentals associated with water and energy efficiency and highlights the importance of using renewable energy sources. A model of multi-criteria optimization for energy efficiency based on water and environmental management policies, including the preservation of water resources and the control of water pressure and energy consumption through a hybrid energy solution, was developed and applied to a water supply system. The methodology developed includes three solutions: (1 the use of a water turbine in pipe systems where pressures are higher than necessary and pressure-reducing valves are installed, (2 the optimization of pumping operation according to the electricity tariff and water demand, and (3 the use of other renewable energy sources, including a wind turbine, to supply energy to the pumping station, with the remaining energy being sold to the national electric grid. The use of an integrated solution (water and energy proves to be a valuable input for creating benefits from available hydro energy in the water supply system in order to produce clean power, and the use of a wind source allows for the reduction of energy consumption in pumping stations, as well as of the CO2 emission to the atmosphere.

  7. Energy consumption and economic growth on the focus on nuclear energy

    Energy Technology Data Exchange (ETDEWEB)

    Ozkan, Filiz [Sakarya Univ., Sakarya (Turkey). Dept. of Financial Econometric; Pektas, Ali Osman [Bahcesehir Univ., Istanbul (Turkey). Dept. of Civil Engineering; Ozkan, Omer [Istanbul Medeniyet Univ. (Turkey). Dept. of Civil Engineering

    2017-01-15

    Since the quest for global and personal prosperity, the drive to eradicate poverty and the motivation to ensure sustainability for the world are collectively dependent on a supply of safe, emissions-free power there are many studies in literature focuses on the relationship between economic growth and energy consumption. This study tries to enlarge the dimensions of these researches by using a large dataset. The second aim of this study is to focus on Nuclear energy consumption. According to the empirical results of the study, Energy consumption is found as co-integrated with the GDP in all 55 countries. There exist bidirectional causality between nuclear, renewable energy consumption and the GDP. Additionally, the unidirectional causality extends from economic growth to hydroelectric, petroleum, coal and total energy consumption.

  8. Energy consumption and economic growth on the focus on nuclear energy

    International Nuclear Information System (INIS)

    Ozkan, Filiz; Pektas, Ali Osman; Ozkan, Omer

    2017-01-01

    Since the quest for global and personal prosperity, the drive to eradicate poverty and the motivation to ensure sustainability for the world are collectively dependent on a supply of safe, emissions-free power there are many studies in literature focuses on the relationship between economic growth and energy consumption. This study tries to enlarge the dimensions of these researches by using a large dataset. The second aim of this study is to focus on Nuclear energy consumption. According to the empirical results of the study, Energy consumption is found as co-integrated with the GDP in all 55 countries. There exist bidirectional causality between nuclear, renewable energy consumption and the GDP. Additionally, the unidirectional causality extends from economic growth to hydroelectric, petroleum, coal and total energy consumption.

  9. Load Balancing Integrated Least Slack Time-Based Appliance Scheduling for Smart Home Energy Management.

    Science.gov (United States)

    Silva, Bhagya Nathali; Khan, Murad; Han, Kijun

    2018-02-25

    The emergence of smart devices and smart appliances has highly favored the realization of the smart home concept. Modern smart home systems handle a wide range of user requirements. Energy management and energy conservation are in the spotlight when deploying sophisticated smart homes. However, the performance of energy management systems is highly influenced by user behaviors and adopted energy management approaches. Appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption. Hence, we propose a smart home energy management system that reduces unnecessary energy consumption by integrating an automated switching off system with load balancing and appliance scheduling algorithm. The load balancing scheme acts according to defined constraints such that the cumulative energy consumption of the household is managed below the defined maximum threshold. The scheduling of appliances adheres to the least slack time (LST) algorithm while considering user comfort during scheduling. The performance of the proposed scheme has been evaluated against an existing energy management scheme through computer simulation. The simulation results have revealed a significant improvement gained through the proposed LST-based energy management scheme in terms of cost of energy, along with reduced domestic energy consumption facilitated by an automated switching off mechanism.

  10. Load Balancing Integrated Least Slack Time-Based Appliance Scheduling for Smart Home Energy Management

    Science.gov (United States)

    Silva, Bhagya Nathali; Khan, Murad; Han, Kijun

    2018-01-01

    The emergence of smart devices and smart appliances has highly favored the realization of the smart home concept. Modern smart home systems handle a wide range of user requirements. Energy management and energy conservation are in the spotlight when deploying sophisticated smart homes. However, the performance of energy management systems is highly influenced by user behaviors and adopted energy management approaches. Appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption. Hence, we propose a smart home energy management system that reduces unnecessary energy consumption by integrating an automated switching off system with load balancing and appliance scheduling algorithm. The load balancing scheme acts according to defined constraints such that the cumulative energy consumption of the household is managed below the defined maximum threshold. The scheduling of appliances adheres to the least slack time (LST) algorithm while considering user comfort during scheduling. The performance of the proposed scheme has been evaluated against an existing energy management scheme through computer simulation. The simulation results have revealed a significant improvement gained through the proposed LST-based energy management scheme in terms of cost of energy, along with reduced domestic energy consumption facilitated by an automated switching off mechanism. PMID:29495346

  11. Load Balancing Integrated Least Slack Time-Based Appliance Scheduling for Smart Home Energy Management

    Directory of Open Access Journals (Sweden)

    Bhagya Nathali Silva

    2018-02-01

    Full Text Available The emergence of smart devices and smart appliances has highly favored the realization of the smart home concept. Modern smart home systems handle a wide range of user requirements. Energy management and energy conservation are in the spotlight when deploying sophisticated smart homes. However, the performance of energy management systems is highly influenced by user behaviors and adopted energy management approaches. Appliance scheduling is widely accepted as an effective mechanism to manage domestic energy consumption. Hence, we propose a smart home energy management system that reduces unnecessary energy consumption by integrating an automated switching off system with load balancing and appliance scheduling algorithm. The load balancing scheme acts according to defined constraints such that the cumulative energy consumption of the household is managed below the defined maximum threshold. The scheduling of appliances adheres to the least slack time (LST algorithm while considering user comfort during scheduling. The performance of the proposed scheme has been evaluated against an existing energy management scheme through computer simulation. The simulation results have revealed a significant improvement gained through the proposed LST-based energy management scheme in terms of cost of energy, along with reduced domestic energy consumption facilitated by an automated switching off mechanism.

  12. Analysis of material and energy consumption of mobile phones in China

    International Nuclear Information System (INIS)

    Yu Jinglei; Williams, Eric; Ju Meiting

    2010-01-01

    Owing to booming mobile phone ownership and a short product innovation cycle, waste mobile phones are flooding China. In 2008, about 560 million mobile phones were produced and 634 million users subscribed to a mobile phone plan in China. These large numbers mean that the charging and disposal of mobile phones has the potential to have significant impacts on the environment. Thus the evaluation of material and energy consumption of mobile phones is an important task in the end-of-life management of electronic products. This paper uses material flow analysis (MFA) and life cycle assessment (LCA) methods to estimate the life cycle impacts of mobile phones in China from manufacturing energy, use phase and generation of waste mobile phones. Results indicate over the mobile phone life cycle, manufacturing accounts for 50% of the total energy consumption, whereas the use phase accounts for only 20%. Mobile phones and supporting infrastructures account for a rapidly increasing 0.17% of Chinese energy use. In 2008, around 77 million units of waste mobile phones were generated in China. To manage this energy use and recover valuable materials recommendations are made to increase lifespan, improve energy efficiency during use and ensure recycling.

  13. Energy catastrophes and energy consumption

    International Nuclear Information System (INIS)

    Davis, G.

    1991-01-01

    The possibility of energy catastrophes in the production of energy serves to make estimation of the true social costs of energy production difficult. As a result, there is a distinct possibility that the private marginal cost curve of energy producers lies to the left or right of the true cost curve. If so, social welfare will not be maximized, and underconsumption or overconsumption of fuels will exist. The occurrence of energy catastrophes and observance of the market reaction to these occurrences indicates that overconsumption of energy has been the case in the past. Postulations as to market reactions to further energy catastrophes lead to the presumption that energy consumption levels remain above those that are socially optimal

  14. Green supply chain management using the queuing theory to handle congestion and reduce energy consumption and emissions from supply chain transportation fleet

    International Nuclear Information System (INIS)

    Aziziankohan, A.; Jolai, F.; Khalilzadeh, M.; Soltani, R.; Tavakkoli-Moghaddam, R.

    2017-01-01

    Purpose: Nowadays, governments and people pay more attention to use green products due to environmental pollution, irreplaceable energy and shortage of resources. Green products are resulted from the application of green supply chain management strategies to the organizations' performance strategies, so that we can reduce environmental pollutants and wastes and take a step towards saving energy with limited resources. Methodology: In this paper, the effect of reducing energy consumption in green supply chain is examined by using queuing theory and transportation models. Data was generated and solved by a commercial optimization epackage. Findings: The findings indicate that suitable assignment of existing transportation fleet with specified capacity, and using queueing theory in a closed-loop network to reduce the queue length and handle congestion, can cause a reduction in energy consumption by optimizing transportation and waiting times in a green supply chain. Originality/value: Adopting investment strategy in improving the environmental performance of the supply chain, will yield in many advantages and benefits. This article investigates the effect of queuing theory on reducing waiting time, optimizing energy consumption in green supply chain, and consequently decreasing pollution.

  15. Green supply chain management using the queuing theory to handle congestion and reduce energy consumption and emissions from supply chain transportation fleet

    Directory of Open Access Journals (Sweden)

    Arvin Aziziankohan

    2017-05-01

    Full Text Available Purpose: Nowadays, governments and people pay more attention to use green products due to environmental pollution, irreplaceable energy and shortage of resources. Green products are resulted from the application of green supply chain management strategies to the organizations' performance strategies, so that we can reduce environmental pollutants and wastes and take a step towards saving energy with limited resources. Methodology:  In this paper, the effect of reducing energy consumption in green supply chain is examined by using queuing theory and transportation models. Data was generated and solved by a commercial optimization epackage. Findings:  The findings indicate that suitable assignment of existing transportation fleet with specified capacity, and using queueing theory in a closed-loop network to reduce the queue length and handle congestion, can cause a reduction in energy consumption by optimizing transportation and waiting times in a green supply chain. Originality/value: Adopting investment strategy in improving the environmental performance of the supply chain, will yield in many advantages and benefits. This article investigates the effect of queuing theory on reducing waiting time, optimizing energy consumption in green supply chain, and consequently decreasing pollution.

  16. Green supply chain management using the queuing theory to handle congestion and reduce energy consumption and emissions from supply chain transportation fleet

    Energy Technology Data Exchange (ETDEWEB)

    Aziziankohan, A.; Jolai, F.; Khalilzadeh, M.; Soltani, R.; Tavakkoli-Moghaddam, R.

    2017-07-01

    Purpose: Nowadays, governments and people pay more attention to use green products due to environmental pollution, irreplaceable energy and shortage of resources. Green products are resulted from the application of green supply chain management strategies to the organizations' performance strategies, so that we can reduce environmental pollutants and wastes and take a step towards saving energy with limited resources. Methodology: In this paper, the effect of reducing energy consumption in green supply chain is examined by using queuing theory and transportation models. Data was generated and solved by a commercial optimization epackage. Findings: The findings indicate that suitable assignment of existing transportation fleet with specified capacity, and using queueing theory in a closed-loop network to reduce the queue length and handle congestion, can cause a reduction in energy consumption by optimizing transportation and waiting times in a green supply chain. Originality/value: Adopting investment strategy in improving the environmental performance of the supply chain, will yield in many advantages and benefits. This article investigates the effect of queuing theory on reducing waiting time, optimizing energy consumption in green supply chain, and consequently decreasing pollution.

  17. Divisia amount and price index for energy consumption

    International Nuclear Information System (INIS)

    Bentzen, J.

    1993-01-01

    In connection with the calculation of total energy consumption related to aggregation of the individual fuel's combustion values, an alternative to Btu aggregation (combustion value measurement), designated the ''Divisia index'', is presented. This represents an economic measure for energy consumption. The Divisia index is demonstrated in relation to total national energy consumption and total energy consumption within the Danish housing sector and also with regard to the estimation of price and income elasticity within energy demand. It is only possible to utilize the Divisia index in relation to the last 20 years, which is the period where energy consumption has stagnated. The question of possible irreversible effects on energy consumption caused by large variations in energy prices is discussed. It is suggested that the reaction to a fall in prices is different and less significant than is the case with price rises. In the long term, results point at a reasonably high price elasticity within energy demand. (AB) (22 refs.)

  18. Energy management and energy autonomy of French farms: status and perspectives of action for public authorities

    International Nuclear Information System (INIS)

    2005-01-01

    This report aims at giving the present state of knowledge about possible energy savings and renewable energy production in farms, and at proposing a hierarchy of actions and measures for a better energy management and energy autonomy in French farms. As far as knowledge is concerned, the authors discuss an assessment of agriculture energy consumption in France, analyse energy costs in farms, discuss the assessment of the global energy consumption by farms, and propose a first estimate of possible energy savings. Actions leading to energy savings or renewable energy production concern various aspects: the production system, agricultural techniques, crops, use of pure vegetal oil, biogas, solar heater, solar drying, buildings, greenhouses, biomass boilers, vegetal oil cogeneration, photovoltaic energy, wind energy. Key actions are identified which concern nitrogen management, wood energy, biogas, energy management, use of cereals for heating, and so on

  19. Optimal Energy Consumption Analysis of Natural Gas Pipeline

    Science.gov (United States)

    Liu, Enbin; Li, Changjun; Yang, Yi

    2014-01-01

    There are many compressor stations along long-distance natural gas pipelines. Natural gas can be transported using different boot programs and import pressures, combined with temperature control parameters. Moreover, different transport methods have correspondingly different energy consumptions. At present, the operating parameters of many pipelines are determined empirically by dispatchers, resulting in high energy consumption. This practice does not abide by energy reduction policies. Therefore, based on a full understanding of the actual needs of pipeline companies, we introduce production unit consumption indicators to establish an objective function for achieving the goal of lowering energy consumption. By using a dynamic programming method for solving the model and preparing calculation software, we can ensure that the solution process is quick and efficient. Using established optimization methods, we analyzed the energy savings for the XQ gas pipeline. By optimizing the boot program, the import station pressure, and the temperature parameters, we achieved the optimal energy consumption. By comparison with the measured energy consumption, the pipeline now has the potential to reduce energy consumption by 11 to 16 percent. PMID:24955410

  20. Energy Consumption Forecasting for University Sector Buildings

    Directory of Open Access Journals (Sweden)

    Khuram Pervez Amber

    2017-10-01

    Full Text Available Reliable energy forecasting helps managers to prepare future budgets for their buildings. Therefore, a simple, easier, less time consuming and reliable forecasting model which could be used for different types of buildings is desired. In this paper, we have presented a forecasting model based on five years of real data sets for one dependent variable (the daily electricity consumption and six explanatory variables (ambient temperature, solar radiation, relative humidity, wind speed, weekday index and building type. A single mathematical equation for forecasting daily electricity usage of university buildings has been developed using the Multiple Regression (MR technique. Data of two such buildings, located at the Southwark Campus of London South Bank University in London, have been used for this study. The predicted test results of MR model are examined and judged against real electricity consumption data of both buildings for year 2011. The results demonstrate that out of six explanatory variables, three variables; surrounding temperature, weekday index and building type have significant influence on buildings energy consumption. The results of this model are associated with a Normalized Root Mean Square Error (NRMSE of 12% for the administrative building and 13% for the academic building. Finally, some limitations of this study have also been discussed.

  1. State Energy Data Report, 1991: Consumption estimates

    International Nuclear Information System (INIS)

    1993-05-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA's energy models

  2. Energy consumption of the households 1960-1996

    International Nuclear Information System (INIS)

    Bentzen, J.; Engsted, T.

    1999-01-01

    During the 1960s energy consumption of Danish households increased relatively fast, but the oil price shocks of the 1970s and subsequent energy policy changes reversed this development towards stagnation in energy consumption in the recent decades. Using time series data covering the period 1960-1996 the final energy consumption of the residential sector is analysed in the framework of co-integration and error-correction modelling. The long run income and price elasticities are found to be 1.17 and -0.85, respectively, but in the short run energy prices seem to influence consumption less as only income and the weather conditions appear significantly in the short run dynamics of the estimated error-correction model. (au)

  3. Energy consumption and economic development after the energy price increases of 1973

    International Nuclear Information System (INIS)

    Danielewski, J.

    1993-01-01

    The interdependence between energy consumption and economic development are highlighted in this research, which focuses on energy price rises between 1973 and 1989. Three groups of countries are identified, developing and developed market economies and centrally planned economies. Two areas of interdependence are examined, firstly the dynamic relationship between primary energy consumption growth and real economic growth and secondly the static relationship between primary energy consumption and national income. In the period under review, developing market economies reacted most strongly to higher energy prices, with lower energy consumption while maintaining real growth in the Gross Domestic Product. However developing countries and centrally planned economies increased their energy consumption per unit of national income although the rate of increase slowed after 1975. (UK)

  4. Spatial Variation and Distribution of Urban Energy Consumptions from Cities in China

    Directory of Open Access Journals (Sweden)

    Yanpeng Cai

    2010-12-01

    Full Text Available With support of GIS tools and Theil index, the spatial variance of urban energy consumption in China was discussed in this paper through the parallel comparison and quantitative analysis of the 30 provincial capital cities of mainland China in 2005, in terms of scale, efficiency and structure. The indicators associated with urban energy consumption show large spatial variance across regions, possibly due to diversities of geographic features, economic development levels and local energy source availability in China. In absolute terms, cities with the highest total energy consumption are mostly distributed in economic-developed regions as Beijing-Tianjin-Tangshan Area, Yangtze River Delta and Pearl River Delta of China, however, the per capita urban energy use is significantly higher in the Mid-and-Western regions. With regard to the energy mix, coal still plays the dominant role and cities in Mid-and-Western regions rely more on coal. In contrast, high quality energy carrier as electricity and oils are more used in southeast coastal zone and northern developed areas. The energy intensive cities are mainly located in the northwest, while the cities with higher efficiency are in southeast areas. The large spatial variance of urban energy consumption was also verified by the Theil indices. Considering the Chinese economy-zones of East, Middle and West, the within-group inequalities are the main factor contributing to overall difference, e.g., the Theil index for per capita energy consumption of within-group is 0.18, much higher than that of between group (0.07, and the same applies to other indicators. In light of the spatial variance of urban energy consumptions in China, therefore, regionalized and type-based management of urban energy systems is badly needed to effectively address the ongoing energy strategies and targets.

  5. Energy drink consumption and marketing in South Africa.

    Science.gov (United States)

    Stacey, Nicholas; van Walbeek, Corné; Maboshe, Mashekwa; Tugendhaft, Aviva; Hofman, Karen

    2017-12-01

    Energy drinks are a fast-growing class of beverage containing high levels of caffeine and sugar. Advertising and marketing have been key to their growth in South Africa. This paper documents trends in energy drink consumption and energy drink advertising, and examines the relationship between exposure to energy drink advertising and consumption. Logistic regressions were estimated of categories of energy drink consumption on individual characteristics, as well as exposure to energy drink advertising. Exposure to advertising is measured by reported viewing of channels high in energy drink advertising. Energy drink consumption in South Africa is higher among younger, wealthier males. Spending on energy drink advertising is mostly focused on television. Targeted channels include youth, sports and general interest channels. Viewers of channels targeted by energy drink advertisers have higher odds of any and moderate levels of energy drinks consumption. Copyright © 2017 Elsevier Inc. All rights reserved.

  6. Risk Management of the Natural Gas Consumption using Genetic Algorithms

    Czech Academy of Sciences Publication Activity Database

    Pelikán, Emil; Šimůnek, Milan

    2005-01-01

    Roč. 15, - (2005), s. 425-436 ISSN 1210-0552 R&D Projects: GA AV ČR 1ET400300513 Institutional research plan: CEZ:AV0Z10300504 Keywords : forecasting * risk-management * energy consumption Subject RIV: BB - Applied Statistics, Operational Research

  7. Understanding change and continuity in residential energy consumption

    DEFF Research Database (Denmark)

    Gram-Hanssen, Kirsten

    2011-01-01

    of material consumer goods in practice theory. Case studies on household energy consumption are used as an empirical basis for these discussions. Looking at household energy consumption through the theoretical lens of practice theory necessitates discussion on whether energy consumption should be viewed......Practice theory has recently emerged within consumer studies as a promising approach that shifts focus from the individual consumer towards the collective aspects of consumption and from spectacular and conspicuous dimensions of consumption towards routine and mundane aspects of consumption...

  8. Calculations of energy consumption in ventilation systems

    Energy Technology Data Exchange (ETDEWEB)

    Kreslins, Andris; Ramata, Anna [Riga Technical University (Latvia)], e-mail: kreslins@rbf.rtu.lv, email: Anna.Ramata@rtu.lv

    2011-07-01

    Energy cost is an important economic factor in the food industry production process. With the rising price of energy, a reduction in energy consumption would greatly impact production and the end product. The aim of this study was to develop a methodology for optimizing energy consumption. A comparison between a traditional ventilation system and a mechanical system was carried out; the necessary enthalpy for heating the air supply and thermal energy consumption were calculated and compared for both systems during the heating season, from October to April, using climatological data for Latvia. Results showed that energy savings of 46% to 87% can be achieved by applying the methodology in the design of industrial buildings; in addition, a well-designed ventilation system increases the workers' productivity. This study presented a methodology which can optimize energy consumption in the food industry sector.

  9. Intelligent multi-objective optimization for building energy and comfort management

    Directory of Open Access Journals (Sweden)

    Pervez Hameed Shaikh

    2018-04-01

    Full Text Available The rapid economic and population growth in developing countries, effective and efficient energy usage has turned out to be crucial due to the rising concern of depleting fossil fuels, of which, one-third of primary energy is consumed in buildings and expected to rise by 53% up to 2030. This roaring sector posing a challenge, due to 90% of people spend most of their time in buildings, requires enhanced well-being of indoor environment and living standards. Therefore, building operations require more energy because most of the energy is consumed to make the indoor environment comfortable. Consequently, there is the need of improved energy efficiency to decrease energy consumption in buildings. In relation to this, the primary challenge of building control systems is the energy consumption and comfort level are generally conflicting to each other. Therefore, an important problem of sustainable smart buildings is to effectively manage the energy consumption and comfort and attain the trade-off between the two. Thus, smart buildings are becoming a trend of future construction that facilitates intelligent control in buildings for the fulfillment of occupant’s comfort level. In this study, an intelligent multi-objective system has been developed with evolutionary multi-objective genetic algorithm (MOGA optimization method. The corresponding case study simulation results for the effective management of users’ comfort and energy efficiency have been carried out. The case study results show the management of energy supply for each comfort parameter and maintain high comfort index achieving balance between the energy consumption and comfort level. Keywords: Energy, Buildings, Comfort, Management, Optimization, Trade-off

  10. In-House Energy Management Program Plan

    International Nuclear Information System (INIS)

    1991-01-01

    DOE facilities are required to develop a documented energy management program encompassing owned and leased facilities and vehicles and equipment. The program includes an Energy Management Plan consistent with the requirements of the DOE ten-year In-House Energy Management Plan, an ECP specifying actions associated with the sudden disruption in the supply of critical fuels, an Energy Management Committee comprised of WIPP employees, and reporting criteria for quarterly energy consumption reporting to DOE Headquarters. The In-House Energy Management Program will include an implementation plan, a budget, and an interaction and coordination plan. The goal of this program is to sensitize the WIPP employees to the energy consequences of their actions and to motivate them to use energy more efficiently. To achieve this goal, the program is designed to both improve energy conservation at the WIPP through the direct efforts of every employee, and to encourage employees to take the lead in conserving energy at home, on the road, and in the community

  11. State energy data report 1996: Consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  12. State energy data report 1996: Consumption estimates

    International Nuclear Information System (INIS)

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA's energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs

  13. Sector review of UK higher education energy consumption

    International Nuclear Information System (INIS)

    Ward, Ian; Ogbonna, Anthony; Altan, Hasim

    2008-01-01

    The UK education and education-related services are said to be one of the fastest-growing export earners in recent years and are known to have had significant impacts at the micro- and macro-levels of the UK. This review looks at energy consumption of this fast growing sector. It concentrates on the energy consumption patterns of the funded higher education institutions in the UK. The findings indicate energy consumption in the sector has been on the increase in the 6 years up to 2006; rising by about 2.7% above the 2001 consumption levels. This increase is, however, not evenly spread across the entire sector. The high energy-consuming institutions appear to be increasing their net consumption, relative to other institutions. Gross internal area, staff and research student full-time equivalent were found to have highest correlation with energy consumption across the sector and may be used as proxy indicators for energy consumption as well as the targets of interventions

  14. Energy drinks consumption in Erbil city: A population based study

    Directory of Open Access Journals (Sweden)

    Yassin A. Asaad

    2017-08-01

    Full Text Available Background and objective: Energy drinks have become increasingly prevalent among young adults and adolescents in recent years, particularly young students and athletes who see the consumption of energy drinks as an easy and quick way to boost academic and athletic performance. This study was conducted to determine the prevalence of consumption of energy drinks in a sample of adolescent and adults in Erbil city as well as perceived benefits and its health hazards. Methods: A convenience sample of 600 individuals from different sectors and social groups of Erbil city was selected. Data was obtained through direct interview. The data was managed through SPSS program version 18, using appropriate statistical tests. Results: The prevalence of energy drinks consumption among the study population was 42.7%, especially adolescents and young adults (those ≤ 25 years and was more common among males than females (55.7% and 29.8%, respectively. The main reasons for its consumption were related to getting energy and improving the mood and performance (66.0% and 30.4%, respectively. 62.7% of participants think that it is harmful and could have adverse effects such as heartbeat irregularity and blood pressure swinging, addiction, and osteoporosis (46.2%, 33.7% and 13.2%, respectively. Televisions were the major source of advertisement (71.45. A significant statistical association had been found between the age, gender and educational status of the participants and consuming energy drinks (P = 0.001, 0.001 and 0.002, respectively. Conclusion: Energy drinks consumption found to be highly prevalent in adolescents and young adults in Erbil city, which calls for review and regulating the sale of these drinks including adolescents' education, raising community’s awareness, banning selling it in public places and increasing taxes.

  15. Intelligent analysis of energy consumption in school buildings

    International Nuclear Information System (INIS)

    Raatikainen, Mika; Skön, Jukka-Pekka; Leiviskä, Kauko; Kolehmainen, Mikko

    2016-01-01

    Highlights: • Electricity and heating energy consumptions of six school buildings were compared. • Complex multivariate data was analysed using modern computational methods. • Variation in electricity consumption cost is considerably low between study schools. • District heating variation is very slight in two new study schools. • District heating cost describes energy efficiency and state of building automation. - Abstract: Even though industry consumes nearly half of total energy production, the relative share of total energy consumption related to heating and operating buildings is growing constantly. The motivation for this study was to reveal the differences in electricity use and district heating consumption in school buildings of various ages during the working day and also during the night when human-based consumption is low. The overall aim of this study is to compare the energy (electricity and heating) consumption of six school buildings in Kuopio, Eastern Finland. The selected school buildings were built in different decades, and their ventilation and building automation systems are also inconsistent. The hourly energy consumption data was received from Kuopion Energia, the local energy supply company. In this paper, the results of data analysis on the energy consumption in these school buildings are presented. Preliminary results show that, generally speaking, new school buildings are more energy-efficient than older ones. However, concerning energy efficiency, two very new schools were exceptional because ventilation was on day and night in order to dry the building materials in the constructions. The novelty of this study is that it makes use of hourly smart metering consumption data on electricity and district heating, using modern computational methods to analyse complex multivariate data in order to increase knowledge of the buildings’ consumption profiles and energy efficiency.

  16. Minimum energy consumption process synthesis for energy saving

    Energy Technology Data Exchange (ETDEWEB)

    Xiao-Ping, Jia [Institute for Petroleum and Chemical Industry, Qingdao University of Science and Technology, Qingdao 266042, Shandong (China); Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084 (China); Fang, Wang; Shu-Guang, Xiang; Xin-Sun, Tan; Fang-Yu, Han [Institute for Petroleum and Chemical Industry, Qingdao University of Science and Technology, Qingdao 266042, Shandong (China)

    2008-05-15

    The paper presents a synthesis strategy for the chemical processes with energy saving. The concept of minimum energy consumption process (MECP) is proposed. Three characteristics of MECP are introduced, including thermodynamic minimum energy demand, energy consumption efficiency and integration degree. These characteristics are evaluated according to quantitative thermodynamic analysis and qualitative knowledge rules. The procedure of synthesis strategy is proposed to support the generation of MECP alternatives, which combine flowsheet integration and heat integration. The cases studies will focus on how integration degrees of a process affect the energy-saving results. The separation sequences of the hydrodealkylation of toluene (HDA) process and ethanol distillation process as case studies are used to illustrate. (author)

  17. State energy data report 1993: Consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-07-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  18. Energy Management Dynamic Control Topology In MANET

    Science.gov (United States)

    Madhusudan, G.; Kumar, TNR

    2017-08-01

    Topology management via per-node transmission power adjustment has been shown effective in extending network lifetime. The existing algorithms constructs static topologies which fail to take the residual energy of network nodes, and cannot balance energy consumption efficiently. To address this problem, a Light Weighted Distributed Topology Control algorithm EMDCT(Energy Management Dynamic Control Topology ) is proposed in this paper. Based on the link metric of the network, both the energy consumption rate level and residual energy levels at the two end nodes are considered. EMDCT generates a Dynamic Topology that changes with the variation of node energy without the aid of location information, each node determines its transmission power according to local network information, which reduces the overhead complexity of EMDCT greatly. The experiment results show that EMDCT preserves network connectivity and manitains minimum-cost property of the network also it can extend network lifetime more remarkably.

  19. Socio-Demographic Differences in Energy Drink Consumption and Reasons for Consumption among US College Students

    Science.gov (United States)

    Poulos, Natalie S.; Pasch, Keryn E.

    2016-01-01

    Background: Energy drink consumption has become increasingly prevalent among US college students, yet little is known about current rates of consumption and reasons for consumption among current energy drink users, particularly differences related to gender and race/ethnicity. Objectives: To better understand energy drink consumption alone and…

  20. BizWatts: A modular socio-technical energy management system for empowering commercial building occupants to conserve energy

    International Nuclear Information System (INIS)

    Gulbinas, R.; Jain, R.K.; Taylor, J.E.

    2014-01-01

    Highlights: • We developed a socio-technical commercial building energy management system. • It was designed for directly engaging and connecting building occupants via feedback. • We collected an array of clickstream data for internal design validation. • A pilot study validated its ability to drive energy savings in commercial buildings. - Abstract: Commercial buildings represent a significant portion of energy consumption and environmental emissions worldwide. To help mitigate the environmental impact of building operations, building energy management systems and behavior-based campaigns designed to reduce energy consumption are becoming increasingly popular. In this paper, we describe the development of a modular socio-technical energy management system, BizWatts, which combines the two approaches by providing real-time, appliance-level power management and socially contextualized energy consumption feedback. We describe in detail the physical and virtual architecture of the system, which simultaneously engages building occupants and facility managers, as well as the main principles behind the interface design and component functionalities. A discussion about how the data collection capabilities of the system enable insightful commercial building energy efficiency studies and quantitative network analysis is also included. We conclude by commenting on the validation of the system, identifying current system limitations and introducing new research avenues that the development and deployment of BizWatts enables

  1. Energy consumption for different greenhouse constructions

    Energy Technology Data Exchange (ETDEWEB)

    Djevic, M.; Dimitrijevic, A. [Department for Agricultural Engineering, University of Belgrade, Faculty of Agriculture, Nemanjina 6, 11080 Belgrade (RS)

    2009-09-15

    In this paper the influence of greenhouse construction on energy efficiency in winter lettuce production was estimated for four different double plastic covered greenhouses in Serbia region. Plastic coverings were introduced in this region as a mean of making the plant production more energy efficient. Additionally, as a means of lowering energy consumption, tunnel structures were proposed. In order to see whether the greenhouse structure influences energy consumption, four different double plastic covered greenhouses. Two tunnel types, 9 x 58 m and 8 x 25 m, one gutter-connected structure and multi-span plastic covered greenhouse. The gutter-connected structure was 2 x 7 m wide and 39 m long while the multi-span structure was 20 x 6.4 m wide and 42 m long. On the basis of lettuce production output and the energy input, specific energy input, energy output-input ratio and energy productivity were estimated. Results show that the lowest energy consumption was obtained for multi-span greenhouse, 9.76 MJ/m{sup 2}. The highest energy consumption was obtained in tunnel, 9 x 58 m, 13.93 MJ/m{sup 2}. The highest value for output-input ratio was calculated for multi-span greenhouse (0.29), followed by gutter-connected greenhouse (0.21), tunnel 9 x 58 m (0.17) and tunnel, 8 x 25 m (0.15). Results also show that energy productivity can be higher if multi-span greenhouse structures are used. (author)

  2. Energy conservation prospects through electric load management

    Energy Technology Data Exchange (ETDEWEB)

    El-Shirbeeny, E H.T.

    1984-04-01

    In this paper, concepts of electric load management are discussed for effective energy conservation. It is shown that the conservation program must be comprehensive to provide solutions to the problems facing the electric consumer, the electric utility and the society by reducing the rate of growth of energy consumption and power system peak demand requirements. The impact of energy management programs on electric energy conservation is examined, with emphasis on efficiency, storage, cogeneration and controls with computers.

  3. Environmental degradation, energy consumption, population growth ...

    African Journals Online (AJOL)

    Based on the result, there is no evidence of unidirectional causality running from CO2 emissions and energy consumption to economic growth and strong unidirectional causality running from CO2 emissions, energy consumption and economic growth to population growth was found. The long run and short run estimates ...

  4. Global risks from energy consumption

    International Nuclear Information System (INIS)

    von Hippel, F.

    1983-01-01

    A discussion of some of the global risks associated with current and frequently proposed future levels of consumption of energy from oil, coal, fission, fusion, and renewable sources points out the the dangers are serious and relatively near term. These include world war over Persian Gulf oil, climate change due to the buildup of atmospheric carbon dioxide, the accelerated proliferation of nuclear weapons, and competition between food and energy for land and water. The author urges placing a greater emphasis on how we use energy and how to reduce energy waste. At the levels of consumption which economically justified levels of energy efficiency could bring about, enough flexibility could develop in our choice of a future energy-supply mix to dramatically reduce the associated global risks. 47 references, 3 figures

  5. Defining an Inteligent Information System for Monitoring and Verification of Energy Management in Cities

    International Nuclear Information System (INIS)

    Tomsic, Z.; Gasic, I.; Lugaric, L.; Cacic, G.

    2011-01-01

    Improving the efficiency of energy consumption (EC) is a central theme of any energy policy. Improved energy efficiency (EE) meets three energy policy goals: security of supply, competitiveness and protection of the environment. Systematic energy management is a body of knowledge and skills based on an organizational structure that links people with assigned responsibilities, efficiency monitoring procedures and continuous measurement and improvement of energy efficiency. This body of knowledge must be supported by appropriate ICT for gathering, processing and disseminating data on EC, EE targets and information. Energy Management Information System - EMIS is a web application for monitoring and analysis of energy and water consumption in public buildings and represents inevitable tool for systematic energy management. EMIS software tool connects processes of gathering data on buildings and their energy consumption, monitoring consumption indicators, setting energy efficiency targets and reporting energy and water consumption savings. Project Intelligent Information System for Monitoring and Verification of Energy Management in Cities (ISEMIC) will distribute EMIS software tool in region (BiH, Slovenia and Serbia). This project also has a goal of improving a software system for utilizing EC measurements, both from smart meters and traditional measurement devices and subsequent data processing and analysis to facilitate, upgrade and eventually replace the currently used energy management system for public buildings in Croatia. ISEMIC will enable use of smart meters within an energy management for the first time in BiH, Slovenia and Serbia, along with an analytical part which enables intelligent estimation of energy consumption based on multiple criteria. EMIS/ISEMIC will enable: Continuous updating and maintenance of a database of information on buildings; Continuous entry and monitoring of consumption data for all energents and water in buildings; Calculation of

  6. Quantification of Uncertainty in Predicting Building Energy Consumption

    DEFF Research Database (Denmark)

    Brohus, Henrik; Frier, Christian; Heiselberg, Per

    2012-01-01

    Traditional building energy consumption calculation methods are characterised by rough approaches providing approximate figures with high and unknown levels of uncertainty. Lack of reliable energy resources and increasing concerns about climate change call for improved predictive tools. A new...... approach for the prediction of building energy consumption is presented. The approach quantifies the uncertainty of building energy consumption by means of stochastic differential equations. The approach is applied to a general heat balance for an arbitrary number of loads and zones in a building...... for the dynamic thermal behaviour of buildings. However, for air flow and energy consumption it is found to be much more significant due to less “damping”. Probabilistic methods establish a new approach to the prediction of building energy consumption, enabling designers to include stochastic parameters like...

  7. Renewable energy consumption and income in emerging economies

    International Nuclear Information System (INIS)

    Sadorsky, Perry

    2009-01-01

    Increased economic growth and demand for energy in emerging economies is creating an opportunity for these countries to increase their usage of renewable energy. This paper presents and estimates two empirical models of renewable energy consumption and income for a panel of emerging economies. Panel cointegration estimates show that increases in real per capita income have a positive and statistically significant impact on per capita renewable energy consumption. In the long term, a 1% increase in real income per capita increases the consumption of renewable energy per capita in emerging economies by approximately 3.5%. Long-term renewable energy per capita consumption price elasticity estimates are approximately equal to -0.70.

  8. Coupling model of energy consumption with changes in environmental utility

    International Nuclear Information System (INIS)

    He Hongming; Jim, C.Y.

    2012-01-01

    This study explores the relationships between metropolis energy consumption and environmental utility changes by a proposed Environmental Utility of Energy Consumption (EUEC) model. Based on the dynamic equilibrium of input–output economics theory, it considers three simulation scenarios: fixed-technology, technological-innovation, and green-building effect. It is applied to analyse Hong Kong in 1980–2007. Continual increase in energy consumption with rapid economic growth degraded environmental utility. First, energy consumption at fixed-technology was determined by economic outcome. In 1990, it reached a critical balanced state when energy consumption was 22×10 9 kWh. Before 1990 (x 1 9 kWh), rise in energy consumption improved both economic development and environmental utility. After 1990 (x 1 >22×10 9 kWh), expansion of energy consumption facilitated socio-economic development but suppressed environmental benefits. Second, technological-innovation strongly influenced energy demand and improved environmental benefits. The balanced state remained in 1999 when energy consumption reached 32.33×10 9 kWh. Technological-innovation dampened energy consumption by 12.99%, exceeding the fixed-technology condition. Finally, green buildings reduced energy consumption by an average of 17.5% in 1990–2007. They contributed significantly to energy saving, and buffered temperature fluctuations between external and internal environment. The case investigations verified the efficiency of the EUEC model, which can effectively evaluate the interplay of energy consumption and environmental quality. - Highlights: ► We explore relationships between metropolis energy consumption and environmental utility. ► An Environmental Utility of Energy Consumption (EUEC) model is proposed. ► Technological innovation mitigates energy consumption impacts on environmental quality. ► Technological innovation decreases demand of energy consumption more than fixed technology scenario

  9. Smart HVAC control in IoT: energy consumption minimization with user comfort constraints.

    Science.gov (United States)

    Serra, Jordi; Pubill, David; Antonopoulos, Angelos; Verikoukis, Christos

    2014-01-01

    Smart grid is one of the main applications of the Internet of Things (IoT) paradigm. Within this context, this paper addresses the efficient energy consumption management of heating, ventilation, and air conditioning (HVAC) systems in smart grids with variable energy price. To that end, first, we propose an energy scheduling method that minimizes the energy consumption cost for a particular time interval, taking into account the energy price and a set of comfort constraints, that is, a range of temperatures according to user's preferences for a given room. Then, we propose an energy scheduler where the user may select to relax the temperature constraints to save more energy. Moreover, thanks to the IoT paradigm, the user may interact remotely with the HVAC control system. In particular, the user may decide remotely the temperature of comfort, while the temperature and energy consumption information is sent through Internet and displayed at the end user's device. The proposed algorithms have been implemented in a real testbed, highlighting the potential gains that can be achieved in terms of both energy and cost.

  10. Energy Consumption of Fast Ferries in Danish Domestic Transport

    DEFF Research Database (Denmark)

    Petersen, Morten Steen; Jørgensen, Kaj

    1997-01-01

    Analysis of energy consumption in connection with selected passenger transport trip chains. In particular the publication aims to evaluate the energy consumption of fast ferries in Denmark.......Analysis of energy consumption in connection with selected passenger transport trip chains. In particular the publication aims to evaluate the energy consumption of fast ferries in Denmark....

  11. Future Trajectories of Renewable Energy Consumption in the European Union

    Directory of Open Access Journals (Sweden)

    Federica Cucchiella

    2018-02-01

    Full Text Available Renewable energy sources (RESs are able to reduce the European Union (EU’s dependence on foreign energy imports, also meeting sustainable objectives to tackle climate change and to enhance economic opportunities. Energy management requires a quantitative analysis and the European Commission follows the performance of each Member State (MS in order to define the corrective measures towards 2020 targets. Starting from historical data reported in the Eurostat database and through a mathematical model, this work proposes future trajectories towards 2020 of the share of energy from renewables (REs in terms of gross final energy consumption (GFEC. Furthermore, a quantitative analysis based on two indices—(i the share of REs in GFEC, and (ii gross final renewable energy consumption (GFREC per capita—permits a comparison among 28 MSs. The share of REs in GFEC in EU 28 varies from 19.4% to 21.8% in future trajectories towards 2020. Sweden and Finland occupy the top part of the ranking, while six MSs (Belgium, France, Ireland, Luxembourg, The Netherlands, and the United Kingdom are not able to reach the 2020 targets.

  12. Uncertainty of Energy Consumption Assessment of Domestic Buildings

    DEFF Research Database (Denmark)

    Brohus, Henrik; Heiselberg, Per; Simonsen, A.

    2009-01-01

    In order to assess the influence of energy reduction initiatives, to determine the expected annual cost, to calculate life cycle cost, emission impact, etc. it is crucial to be able to assess the energy consumption reasonably accurate. The present work undertakes a theoretical and empirical study...... of the uncertainty of energy consumption assessment of domestic buildings. The calculated energy consumption of a number of almost identical domestic buildings in Denmark is compared with the measured energy consumption. Furthermore, the uncertainty is determined by means of stochastic modelling based on input...... to correspond reasonably well; however, it is also found that significant differences may occur between calculated and measured energy consumption due to the spread and due to the fact that the result can only be determined with a certain probability. It is found that occupants' behaviour is the major...

  13. Integrated Management of Residential Energy Resources

    Directory of Open Access Journals (Sweden)

    Antunes C. H.

    2012-10-01

    Full Text Available The increasing deployment of distributed generation systems based on renewables in the residential sector, the development of information and communication technologies and the expected evolution of traditional power systems towards smart grids are inducing changes in the passive role of end-users, namely with stimuli to change residential demand patterns. The residential user should be able to make decisions and efficiently manage his energy resources by taking advantages from his flexibility in load usage with the aim to minimize the electricity bill without depreciating the quality of energy services provided. The aim of this paper is characterizing electricity consumption in the residential sector and categorizing the different loads according to their typical usage, working cycles, technical constraints and possible degree of control. This categorization of end-use loads contributes to ascertain the availability of controllable loads to be managed as well as the different direct management actions that can be implemented. The ability to implement different management actions over diverse end-use load will increase the responsiveness of demand and potentially raises the willingness of end-users to accept such activities. The impacts on the aggregated national demand of large-scale dissemination of management systems that would help the end-user to make decisions regarding electricity consumption are predicted using a simulator that generates the aggregated residential sector electricity consumption under variable prices.

  14. Can urban rail transit curb automobile energy consumption?

    International Nuclear Information System (INIS)

    Lin, Boqiang; Du, Zhili

    2017-01-01

    With the rapid development of China's economy and the speed of urbanization, China's automobile sector has experienced rapid development. The rapid development of the automobile sector has increased energy consumption. According to the results of this paper, automobile energy consumption accounted for about 10.73% of total energy consumption in China in 2015, about 3.6 times the proportion a decade ago. With the deterioration of urban traffic conditions, relying on expanding the amount of vehicles and city road network cannot solve the problem. Urban rail transit is energy-saving and less-polluting, uses less space, has large capacity, and secure. Urban rail transit, according to the principle of sustainable development, is a green transportation system and should be especially adopted for large and medium-sized cities. The paper uses the binary choice model (Probit and Logit) to analyze the main factors influencing the development of rail transit in Chinese cities, and whether automobile energy consumption is the reason for the construction of urban rail transit. Secondly, we analyze the influence of urban rail transit on automobile energy consumption using DID model. The results indicate that the construction of urban rail traffic can restrain automobile energy consumption significantly, with continuous impact in the second year. - Highlights: • Investigate the main factors influencing the building of rail transit for Chinese cities. • Analyze the influence of urban rail transit on automobile energy consumption by DID model. • The results indicate that the construction of urban rail traffic can restrain automobile energy consumption significantly.

  15. A survey of energy drink and alcohol mixed with energy drink consumption.

    Science.gov (United States)

    Magnezi, Racheli; Bergman, Lisa Carroll; Grinvald-Fogel, Haya; Cohen, Herman Avner

    2015-01-01

    Energy drink consumption among youth is increasing despite recommendations by the American Academy of Pediatrics to eliminate consumption by youth. This study provides information on consumption of energy drinks and alcohol mixed with energy drinks (AmED) in a sample of Israeli youth and how consumer knowledge about the risks affects consumption rates. The study was conducted in three Tel Aviv public schools, with a total enrollment of 1,253 students in grades 8 through 12. Among them, 802 students completed a 49-item questionnaire about energy drink and AmED consumption, for a 64 % response rate Non-responders included 451 students who were absent or refused to participate. All students in the same school were administered the questionnaire on the same day. Energy drinks are popular among youth (84.2 % have ever drunk). More tenth through twelfth grade students consumed energy drinks than eighth and ninth grade students. Students who began drinking in elementary school (36.8 %) are at elevated risk for current energy drink (P consumption (OR 1.925; 95 %CI 1.18-3.14). The association between current AmED consumption and drinking ED at a young age is important. Boys and those who start drinking early have a greater risk of both ED and AmED consumption. The characteristics of early drinkers can help increase awareness of potential at-risk youth, such as junior and senior high school students with less educated or single parents. Risks posed by early use on later energy drink and AmED consumption are concerning. We suggest that parents should limit accessibility. Increased knowledge about acceptable and actual amounts of caffeine in a single product might decrease consumption.

  16. Nuclear energy consumption and economic growth in nine developed countries

    International Nuclear Information System (INIS)

    Wolde-Rufael, Yemane; Menyah, Kojo

    2010-01-01

    This article attempts to test the causal relationship between nuclear energy consumption and real GDP for nine developed countries for the period 1971-2005 by including capital and labour as additional variables. Using a modified version of the Granger causality test developed by Toda and Yamamoto (1995), we found a unidirectional causality running from nuclear energy consumption to economic growth in Japan, Netherlands and Switzerland; the opposite uni-directional causality running from economic growth to nuclear energy consumption in Canada and Sweden; and a bi-directional causality running between economic growth and nuclear energy consumption in France, Spain, the United Kingdom and the United States. In Spain, the United Kingdom and the USA, increases in nuclear energy consumption caused increases in economic growth implying that conservation measures taken that reduce nuclear energy consumption may negatively affect economic growth. In France, Japan, Netherlands and Switzerland increases in nuclear energy consumption caused decreases in economic growth, suggesting that energy conservation measure taken that reduce nuclear energy consumption may help to mitigate the adverse effects of nuclear energy consumption on economic growth. In Canada and Sweden energy conservation measures affecting nuclear energy consumption may not harm economic growth.

  17. Manufacturing consumption of energy 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-01

    This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

  18. Output, renewable energy consumption and trade in Africa

    International Nuclear Information System (INIS)

    Ben Aïssa, Mohamed Safouane; Ben Jebli, Mehdi; Ben Youssef, Slim

    2014-01-01

    We use panel cointegration techniques to examine the relationship between renewable energy consumption, trade and output in a sample of 11 African countries covering the period 1980–2008. The results from panel error correction model reveal that there is evidence of a bidirectional causality between output and exports and between output and imports in both the short and long-run. However, in the short-run, there is no evidence of causality between output and renewable energy consumption and between trade (exports or imports) and renewable energy consumption. Also, in the long-run, there is no causality running from output or trade to renewable energy. In the long-run, our estimations show that renewable energy consumption and trade have a statistically significant and positive impact on output. Our energy policy recommendations are that national authorities should design appropriate fiscal incentives to encourage the use of renewable energies, create more regional economic integration for renewable energy technologies, and encourage trade openness because of its positive impact on technology transfer and on output. - Highlights: • We examine the relationship between renewable energy consumption, trade and output in African countries. • There is a bidirectional causality between output and trade in both the short and long-run. • In the short-run, there is no causality between renewable energy consumption and trade or output. • In the long-run, renewable energy consumption and trade have a statistically significant positive impact on output. • African authorities should encourage trade openness because of its positive impact on technology transfer and on output

  19. Intelligent Cooperative MAC Protocol for Balancing Energy Consumption

    Science.gov (United States)

    Wu, S.; Liu, K.; Huang, B.; Liu, F.

    To extend the lifetime of wireless sensor networks, we proposed an intelligent balanced energy consumption cooperative MAC protocol (IBEC-CMAC) based on the multi-node cooperative transmission model. The protocol has priority to access high-quality channels for reducing energy consumption of each transmission. It can also balance the energy consumption among cooperative nodes by using high residual energy nodes instead of excessively consuming some node's energy. Simulation results show that IBEC-CMAC can obtain longer network lifetime and higher energy utilization than direct transmission.

  20. Modeling Stochastic Energy and Water Consumption to Manage Residential Water Uses

    Science.gov (United States)

    Abdallah, A. M.; Rosenberg, D. E.; Water; Energy Conservation

    2011-12-01

    Water energy linkages have received growing attention from the water and energy utilities as utilities recognize that collaborative efforts can implement more effective conservation and efficiency improvement programs at lower cost with less effort. To date, limited energy-water household data has allowed only deterministic analysis for average, representative households and required coarse assumptions - like the water heater (the primary energy use in a home apart from heating and cooling) be a single end use. Here, we use recent available disaggregated hot and cold water household end-use data to estimate water and energy consumption for toilet, shower, faucet, dishwasher, laundry machine, leaks, and other household uses and savings from appliance retrofits. The disaggregated hot water and bulk water end-use data was previously collected by the USEPA for 96 single family households in Seattle WA and Oakland CA, and Tampa FL between the period from 2000 and 2003 for two weeks before and four weeks after each household was retrofitted with water efficient appliances. Using the disaggregated data, we developed a stochastic model that represents factors that influence water use for each appliance: behavioral (use frequency and duration), demographical (household size), and technological (use volume or flowrate). We also include stochastic factors that govern energy to heat hot water: hot water fraction (percentage of hot water volume to total water volume used in a certain end-use event), heater water intake and dispense temperatures, and energy source for the heater (gas, electric, etc). From the empirical household end-use data, we derive stochastic probability distributions for each water and energy factor where each distribution represents the range and likelihood of values that the factor may take. The uncertainty of the stochastic water and energy factors is propagated using Monte Carlo simulations to calculate the composite probability distribution for water

  1. Energy consumption of workstations and external devices in school of business and information technology

    OpenAIRE

    Koret, Jere

    2012-01-01

    The purpose of this thesis was to measure energy consumption of workstations and external devices in School of Business and Information Technology and search for possible solutions to reduce electricity consumption. The commissionaire for the thesis was Oulu University of Applied Sciences School of Business and Information Management unit. The reason for the study is that School of Business and Information Management has a environmental plan which is based on ISO standard 14001 and this t...

  2. Prediction-based Dynamic Energy Management in Wireless Sensor Networks

    Science.gov (United States)

    Wang, Xue; Ma, Jun-Jie; Wang, Sheng; Bi, Dao-Wei

    2007-01-01

    Energy consumption is a critical constraint in wireless sensor networks. Focusing on the energy efficiency problem of wireless sensor networks, this paper proposes a method of prediction-based dynamic energy management. A particle filter was introduced to predict a target state, which was adopted to awaken wireless sensor nodes so that their sleep time was prolonged. With the distributed computing capability of nodes, an optimization approach of distributed genetic algorithm and simulated annealing was proposed to minimize the energy consumption of measurement. Considering the application of target tracking, we implemented target position prediction, node sleep scheduling and optimal sensing node selection. Moreover, a routing scheme of forwarding nodes was presented to achieve extra energy conservation. Experimental results of target tracking verified that energy-efficiency is enhanced by prediction-based dynamic energy management.

  3. Prediction-based Dynamic Energy Management in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Dao-Wei Bi

    2007-03-01

    Full Text Available Energy consumption is a critical constraint in wireless sensor networks. Focusing on the energy efficiency problem of wireless sensor networks, this paper proposes a method of prediction-based dynamic energy management. A particle filter was introduced to predict a target state, which was adopted to awaken wireless sensor nodes so that their sleep time was prolonged. With the distributed computing capability of nodes, an optimization approach of distributed genetic algorithm and simulated annealing was proposed to minimize the energy consumption of measurement. Considering the application of target tracking, we implemented target position prediction, node sleep scheduling and optimal sensing node selection. Moreover, a routing scheme of forwarding nodes was presented to achieve extra energy conservation. Experimental results of target tracking verified that energy-efficiency is enhanced by prediction-based dynamic energy management.

  4. Tools and solutions for environmental reporting and energy management

    International Nuclear Information System (INIS)

    Suhonen, T.

    2004-01-01

    Especially two areas of energy applications - environmental reporting and energy management - are emphasized due to the current EU legislation and opening energy markets. Emissions reporting is driven by several EU directives and international agreements, like Emissions Trading Scheme. The directives guide implementation of the emission information management and reporting procedures, but requirements and differences defined by the local authorities are challenging both for the system supplier and for the energy producer. Energy management of industrial energy production (CHP) is an application, which offers real-time tools for forecasting mill's energy need and optimizing the energy balance between a mill's own production, purchases and consumption. This can bring significant reductions in mill energy costs and consumption. For these applications, the exact and well-managed information is needed. Data is retrieved from plant historians and event databases, ERP's and external sources. Calculation applications generate characteristic values (KPI's), which are used for monitoring operation, improving plant availability and boosting performance. Common office tools, like MS Excel, are the most convenient tools for reporting and processing information. Integration tools are needed to combine data from several sources to a single channel, handling messaging between applications and distributing information. (author)

  5. Online-based energy auditing and incentive mechanisms to reduce domestic energy consumption

    OpenAIRE

    Lossin, Felix; Staake, Thorsten; Fleisch, Elgar

    2014-01-01

    Domestic energy consumption accounts for about 20-30% of total energy use in western countries [1], [2]. On the level of single households, however, energy consumption tends to vary greatly. This is particularly due to differences regarding behavior and decisions made by individuals. For example, heating and ventilation behavior, the intensity of the use of electrical appliances and hot water, as well as home insulation and weatherization provisions affect total energy consumption. Therefore,...

  6. Energy consumption and income. A semiparametric panel data analysis

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen-Van, Phu [BETA, CNRS and Universite de Strasbourg, 61 avenue de la Foret Noire, F-67085 Strasbourg (France)

    2010-05-15

    This paper proposes a semiparametric analysis for the study of the relationship between energy consumption per capita and income per capita for an international panel dataset. It shows little evidence for the existence of an environmental Kuznets curve for energy consumption. Energy consumption increases with income for a majority of countries and then stabilizes for very high income countries. Neither changes in energy structure nor macroeconomic cycle/technological change have significant effect on energy consumption. (author)

  7. ENERGY MANAGEMENT SYSTEMS AND ISO 50001 ACCREDITATION IN SHIPPING

    Directory of Open Access Journals (Sweden)

    BRANISLAV DRAGOVIŠ

    2017-12-01

    Full Text Available The shipping sector is facing new challenges in energy consumption and management. In a recent study conducted by the European Sea Ports Organization (ESPO has shown that energy consumption has risen from 7th place in 2009, to 2nd in 2016, as far as the 10 environmental priorities of European ports. Energy management is seen as the greatest risk for shipping companies, due to the variability existing in the oil and gas markets, in recent decades. Unsuccessful energy management strategies have been shown to have serious consequences for the natural environment, as well as for the companies themselves, which include the enhancement of global warming, and the destruction of a positive corporate image/reputation. Due to this, shipping companies now consider energy as an integral part of their overall strategy and adopt risk management assessments in order to attain the best returns on their investments. The ISO 50001 standard provides a useful tool to companies that are eager to develop and apply an efficient energy strategy consistent with modern Social Corporate Responsibility requirements and aspirations.

  8. Energy saving and consumption reducing evaluation of thermal power plant

    Science.gov (United States)

    Tan, Xiu; Han, Miaomiao

    2018-03-01

    At present, energy saving and consumption reduction require energy saving and consumption reduction measures for thermal power plant, establishing an evaluation system for energy conservation and consumption reduction is instructive for the whole energy saving work of thermal power plant. By analysing the existing evaluation system of energy conservation and consumption reduction, this paper points out that in addition to the technical indicators of power plant, market activities should also be introduced in the evaluation of energy saving and consumption reduction in power plant. Ttherefore, a new evaluation index of energy saving and consumption reduction is set up and the example power plant is calculated in this paper. Rresults show that after introducing the new evaluation index of energy saving and consumption reduction, the energy saving effect of the power plant can be judged more comprehensively, so as to better guide the work of energy saving and consumption reduction in power plant.

  9. Development of German energy consumption: A deterministic study of energy-relevant customer groups

    International Nuclear Information System (INIS)

    Baumert, M.

    1994-01-01

    A detailed study of the characteristic features of group-specific energy consumption was conducted (identification of the factors determining energy consumption of the productive sector, private households and private mobility demand). The question of who shall determine energy consumption in the future is analysed. This question is answered in a demand-specific study of consumption patterns and -effects. (orig./UA) [de

  10. State energy data report 1994: Consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  11. State energy data report 1994: Consumption estimates

    International Nuclear Information System (INIS)

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA's energy models. Division is made for each energy type and end use sector. Nuclear electric power is included

  12. Knowledge network model of the energy consumption in discrete manufacturing system

    Science.gov (United States)

    Xu, Binzi; Wang, Yan; Ji, Zhicheng

    2017-07-01

    Discrete manufacturing system generates a large amount of data and information because of the development of information technology. Hence, a management mechanism is urgently required. In order to incorporate knowledge generated from manufacturing data and production experience, a knowledge network model of the energy consumption in the discrete manufacturing system was put forward based on knowledge network theory and multi-granularity modular ontology technology. This model could provide a standard representation for concepts, terms and their relationships, which could be understood by both human and computer. Besides, the formal description of energy consumption knowledge elements (ECKEs) in the knowledge network was also given. Finally, an application example was used to verify the feasibility of the proposed method.

  13. Energy consumption and conservation in food retailing

    International Nuclear Information System (INIS)

    Tassou, S.A.; Ge, Y.; Hadawey, A.; Marriott, D.

    2011-01-01

    The total annual CO 2 emissions associated with the energy consumption of the major retail food outlets in the UK amount to around 4.0 MtCO 2 . The energy consumption and emissions from supermarkets varies widely and can depend on many factors such as the type and size of the store, business and merchandising practices and refrigeration and environmental control systems used. This paper provides energy consumption data of a sample of 2570 retail food stores from a number of major retail food chains in the UK. The sample covers all major store categories from convenience stores to hypermarkets and includes approximately 30% of the total number of stores in the UK having a net sales area more than 280 m 2 . The data show a wide variability of energy intensity even within stores of the same retail chain. A power law can be used to describe the variation of the average electrical energy intensity of the stores in the sample with sales area. If the electrical intensity of the stores above the average is reduced to the average by energy conservation measures, annual energy savings of the order of 10% or 840 GWh can be achieved representing 355,000 tonnes annual reduction in CO 2 emissions. The paper also discusses the major energy consuming processes in retail food stores and identifies opportunities for energy savings. - Research highlights: → Energy consumption by supermarkets in the UK is significant and a wide variability exists between stores of similar size. → Energy conservation measures to reduce energy consumption of individual stores to the average can produce a0% energy savings. → Significant opportunities for energy savings exist from the integration of HVAC and refrigeration equipment.

  14. 10 CFR 431.134 - Uniform test methods for the measurement of energy consumption and water consumption of automatic...

    Science.gov (United States)

    2010-01-01

    ... consumption and water consumption of automatic commercial ice makers. 431.134 Section 431.134 Energy... of energy consumption and water consumption of automatic commercial ice makers. (a) Scope. This... consumption, but instead calculate the energy use rate (kWh/100 lbs Ice) by dividing the energy consumed...

  15. D5.4 – Energy management system

    DEFF Research Database (Denmark)

    Madsen, Per Printz; Andersen, Palle

    This report will focus on strategies for energy management as well at the building level and at the microgrid level. The designed energy management controller will manage energy flow such that generated power in the microgrid is mainly consumed by local consumers and the power trade between...... the microgrid and the grid is shrunk to minimum. Buildings’ role is to provide flexibility to the energy management controller so that this controller can use this flexibility to enhance the local use of the local produced energy and by that mean lower the energy bill for each house in the microgrid....... The Optimization of building loads are based on electricity price signal and shedding, shifting or rescheduling the power consumption pattern. The main shiftable loads are the HVAC systems. This system will be the primary controllable load for the energy management controller but also curtailable load and non...

  16. Energy Management; La maitrise de l'energie

    Energy Technology Data Exchange (ETDEWEB)

    Martin, Yves [Commissariat General du Plan, Paris (France)

    2000-02-02

    Struck by the first oil shock, France engaged itself since 1974 on a nuclear course associated to a policy of energy management. Twenty years later one can ascertain that the rates of energy savings has strongly declined since 1986 and that the energy consumption per point of national income has even increased after 1991. The evaluation conducted by the group presided by Yves Martin has found out that there is an important field of profitable economies, clearing at the same time the ways of improving the tools used. An ensemble of general operations able to give a new impetus to energy management policy is revealed. The document contains two sections, - The evaluation device and - Constants and improvement proposals. The latter presents: - the global approach; - evaluation of tools and the improvement ways; - aids to decision; - actions on offer of energy saving equipment; - aids for investment; - transports; - renewable energies. The reports concludes with the following general recommendations: - curving the fossil energy short-sighting by embodying in the price of this energy, by means of fiscal measures, the externalities and future costs which are not taken into account; - encouraging R and D aiming at an increased energy efficiency of equipment; - assist the energy users to get the necessary information in order to optimize their investments and behavior; - revise the electricity pricing and policy of rural electrification in order to avoid an unfair competition in zones of low population density and isles non-connected to metropolitan grid; - endowing the administration with an organization enabling the integration of energy management within the fiscal and sectorial policies with high impact upon the energy consumption (transports, dwellings, urbanism); - giving to ADEME the necessary stability of its means for accomplishing its mission. Finally, the report points out the tasks of the authorities implied: - The inter-ministerial agency for evaluation of

  17. Energy consumption and energy saving : their evolution in Spain and other countries

    International Nuclear Information System (INIS)

    Serrano Martinez, F.

    1995-01-01

    The article shows the development of energy consumption since the seventies in three main energy consuming sectors: industry, residential services and transport. While the energy intensity and consumption in the industrial sector have considerably decreased- taking 100 as index in 1973, this was 68 in 1988-in the other sectors, the increase of comfort in houses and business offices, as well as the number or automobiles, have made consumption in these sectors increase despite the efforts made in the improvement of return of installations and reduction of cars consumption. In the industry, large energy savings coincide with remarkable technological innovations and for the future, the achieved savings and future trends, as well as conditions for the energy saving, are analyzed for the rest of the sectors. (Author)

  18. Flexible Energy Consumption in Smart House's

    DEFF Research Database (Denmark)

    Madsen, Per Printz

    2012-01-01

    the consumer have to use the energy when it is available. The main electrical energy consumer in a modern society is buildings and private homes. The amount of electrical energy used in this sector is about 70% of the total electricity consumption. Because of that buildings and private homes has to play...... an automatic and inteligente house control system that maximize the consumption exibility based on the energy users behavior with out aection the living comfort. This behavior is of course dierent from household to household, because of that it is nessasary include an adaptive behavior prediction system...

  19. Energy consumption characteristics of Guatemalan households

    International Nuclear Information System (INIS)

    Mansilla, C.; Moscoso, M.R.

    1991-01-01

    The sectoral consumption pattern in Guatemala has shown that the residential sector is the major energy consumer. It accounts for 68.9 per cent of total consumption, followed by the transportation sector with 16.6 per cent, and the industrial sector with 9.3 per cent. Because of the importance of the household sector in the national energy balance, the Energy Planning Project carried out a nationwide household survey in 1985 to estimate energy-use patterns. This paper focusses on the findings from the analysis of the 2,500 forms completed during that survey. 4 figs, 1 tab

  20. Energy consumption for shortcuts to adiabaticity

    Science.gov (United States)

    Torrontegui, E.; Lizuain, I.; González-Resines, S.; Tobalina, A.; Ruschhaupt, A.; Kosloff, R.; Muga, J. G.

    2017-08-01

    Shortcuts to adiabaticity let a system reach the results of a slow adiabatic process in a shorter time. We propose to quantify the "energy cost" of the shortcut by the energy consumption of the system enlarged by including the control device. A mechanical model where the dynamics of the system and control device can be explicitly described illustrates that a broad range of possible values for the consumption is possible, including zero (above the adiabatic energy increment) when friction is negligible and the energy given away as negative power is stored and reused by perfect regenerative braking.

  1. Actual energy consumption in dwellings. The effect of energy performance regulations and occupant behaviour

    Energy Technology Data Exchange (ETDEWEB)

    Guerra Santin, O.

    2010-10-19

    Residential buildings have continuously improved in energy efficiency, partly as a consequence of the introduction of energy regulations in many countries. Although better thermal properties and systems efficiency have lowered energy consumption for space heating in recent decades, substantial differences in energy consumption in similar dwellings are still being observed. These differences in consumption are thought to be caused by differences in occupancy patterns, by quality of construction and by rebound effects. This research addresses the effect of energy performance regulations and occupant behavior on energy consumption for space and water heating in dwellings built after the introduction of the energy performance regulations in the Netherlands. The results of this research show that improving the energy efficiency of buildings alone is not enough to decrease that energy consumption. The large differences found in the use of dwellings indicate that, especially in energy efficient houses, occupant behavior provides an opportunity for further reductions in the energy consumption for space heating which could boost the efforts to conserve energy worldwide.

  2. State energy data report 1995 - consumption estimates

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  3. 10 CFR 434.508 - Determination of the design energy consumption and design energy cost.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 3 2010-01-01 2010-01-01 false Determination of the design energy consumption and design... Alternative § 434.508 Determination of the design energy consumption and design energy cost. 508.1The Design Energy Consumption shall be calculated by modeling the Proposed Design using the same methods...

  4. EVALUATION OF ENERGY CONSUMPTION IN AGRO-INDUSTRIAL WASTEWATER TREATMENT PLANT

    Directory of Open Access Journals (Sweden)

    Wojciech Dąbrowski

    2016-07-01

    Full Text Available Energy consumption during waste water treatment is a very important factor affecting food industry plants. Apart from highly efficient treatment of dairy and meat sewage, a low energy consumption is required in order to lower its costs. During the research period parameters of raw and treated sewage were tested (BOD, COD, N-total, P-total. Also, the energy consumption from selected processes as well as total consumption were measured. Indicators of energy consumption per m3 and removed load were calculated. It was found that biological treatment and aeration played the main role in energy consumption in both objects. It was respectively 40 and 47% for Bielmlek and JBB plants. The second biggest energy consuming stage of treatment in both objects was sludge processing. Energy required to process excessive sludge equaled 30% of the total energy usage in both plants. Energy consumption factors related to hydraulic flow gave results in the range from 2,05 to 3,3 kWhm-3 and from 2,72 to 3,23 kWhm-3 for Bielmlek and JBB plants respectively. The research will be continued in order to optimize energy consumption while retaining high efficiency treatment in food industry WWTPs. Finally a mathematical model will be prepared for optimizing energy consumption in food industry WWTPs.

  5. Ant Colony Optimization Algorithm to Dynamic Energy Management in Cloud Data Center

    Directory of Open Access Journals (Sweden)

    Shanchen Pang

    2017-01-01

    Full Text Available With the wide deployment of cloud computing data centers, the problems of power consumption have become increasingly prominent. The dynamic energy management problem in pursuit of energy-efficiency in cloud data centers is investigated. Specifically, a dynamic energy management system model for cloud data centers is built, and this system is composed of DVS Management Module, Load Balancing Module, and Task Scheduling Module. According to Task Scheduling Module, the scheduling process is analyzed by Stochastic Petri Net, and a task-oriented resource allocation method (LET-ACO is proposed, which optimizes the running time of the system and the energy consumption by scheduling tasks. Simulation studies confirm the effectiveness of the proposed system model. And the simulation results also show that, compared to ACO, Min-Min, and RR scheduling strategy, the proposed LET-ACO method can save up to 28%, 31%, and 40% energy consumption while meeting performance constraints.

  6. Energy consumption modeling during dairy sewage pretreatment

    Directory of Open Access Journals (Sweden)

    Dąbrowski Wojciech

    2017-01-01

    Full Text Available The research was conducted in a dairy WWTP located in north-eastern Poland with the average flow of 546 m3d-1 and PE 11500 in 2016. Energy consumption was measured with the help of Lumel 3-phase network parameter transducers installed within the plant. The modeling was conducted based on the quantity and quality of raw sewage, after its screening, averaging and dissolved air flotation. The following parameters were determined: BOD5, COD. N-total and P-total. During the research period. 15 measurement series were carried out. Pollution loads removed in primary treatment varied from 167.0 to 803.5 kgO2d-1 and 1205.9 to 10032 kgO2d-1 for BOD5 and COD respectively. The energy consumption share during dairy pretreatment in relation to the total energy consumption was in the range from 13.8 to 28.5% with the mean value of 18.7% during the research period. Energy consumption indicators relating to removed pollution loads for primary treatment were established with the mean values of 0.74 and 0.83 kWhkg-1d-1 for BOD5 and COD respectively. An attempt was made to determine the influence of raw sewage characteristics and pretreatment efficiency on energy consumption of the object. A model of energy consumption during pretreatment was estimated according to the experimental data obtained in the research period. It was modeled using the linear regression model and principal component analysis.

  7. Does FDI influence renewable energy consumption? An analysis of sectoral FDI impact on renewable and non-renewable industrial energy consumption

    International Nuclear Information System (INIS)

    Doytch, Nadia; Narayan, Seema

    2016-01-01

    This study examines the link between foreign direct investment (FDI) and energy demand. FDI is a source of financing that allows businesses to grow. At the same time, FDI can be a source of innovation that promotes energy efficiency. Existing evidence on the impact of aggregate FDI inflows on energy consumption is scarce and inconclusive. In the current study, we disaggregate FDI inflows into mining, manufacturing, total services, and financial services components and examine the impact of these FDI flows on renewable – and non-renewable industrial energy – sources for 74 countries for the period 1985–2012. We employ a Blundell–Bond dynamic panel estimator to control for endogeneity and omitted variable biases in our panels. The results point broadly to an energy consumption-reducing effect with respect to non-renewable sources of energy and an energy consumption-augmenting effects with respect to renewable energy. We find that these effects vary in magnitude and significance by sectoral FDI. - Highlights: • FDI generally discourages the use of unclean energy. • Economic growth promotes non-renewable energy consumption. • Service FDI save energy and encourage the switch to renewable energy. • Mining FDI to low and lower middle-income panels save energy. • These results are mainly consistent with the FDI halo effect.

  8. Climate impacts on extreme energy consumption of different types of buildings.

    Science.gov (United States)

    Li, Mingcai; Shi, Jun; Guo, Jun; Cao, Jingfu; Niu, Jide; Xiong, Mingming

    2015-01-01

    Exploring changes of building energy consumption and its relationships with climate can provide basis for energy-saving and carbon emission reduction. Heating and cooling energy consumption of different types of buildings during 1981-2010 in Tianjin city, was simulated by using TRNSYS software. Daily or hourly extreme energy consumption was determined by percentile methods, and the climate impact on extreme energy consumption was analyzed. The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building. No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption. Daily extreme energy consumption for large venue building had no relationship with climate parameters, whereas extreme energy consumption for commercial and residential buildings was related to various climate parameters. Further multiple regression analysis suggested heating energy consumption for commercial building was affected by maximum temperature, dry bulb temperature, solar radiation and minimum temperature, which together can explain 71.5 % of the variation of the daily extreme heating energy consumption. The daily extreme cooling energy consumption for commercial building was only related to the wet bulb temperature (R2= 0.382). The daily extreme heating energy consumption for residential building was affected by 4 climate parameters, but the dry bulb temperature had the main impact. The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

  9. Pakistan energy consumption scenario and some alternate energy option

    International Nuclear Information System (INIS)

    Maher, M.J.

    1997-01-01

    Pakistan with its energy-deficient resources is highly dependent on import-oriented energy affected the economy because of repeated energy price hike on international horizon. The energy consumption pattern in Pakistan comprises about two-third in commercial energy and one-third in non-commercial forms. Most of the country's energy requirements are met by oil, gas hydro power, coal, nuclear energy and thermal power. Pakistan meets it's commercial energy requirements indigenously up to 64%. The balance of deficit of 35-40% is met through import. The consumption of various agro-residues and wood as fuel also plays a vital role. The analysis shows that emphasis needs to be placed on new and renewable resources of energy besides adopting technologies for energy conservation. Renewable energy depends on energy income and constitutes the development process. The are several renewable energy options such as biogas technology, micro-hydro power generation, direct solar energy and biomass energy conservation etc. By improving the conservation techniques as designs of solar converters, pre treating the biomass fuel, increasing the effectiveness of carbonization and pyrolysis increases the energy production. (A.B.)

  10. Disaggregate energy consumption and industrial production in South Africa

    International Nuclear Information System (INIS)

    Ziramba, Emmanuel

    2009-01-01

    This paper tries to assess the relationship between disaggregate energy consumption and industrial output in South Africa by undertaking a cointegration analysis using annual data from 1980 to 2005. We also investigate the causal relationships between the various disaggregate forms of energy consumption and industrial production. Our results imply that industrial production and employment are long-run forcing variables for electricity consumption. Applying the [Toda, H.Y., Yamamoto, T., 1995. Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66, 225-250] technique to Granger-causality, we find bi-directional causality between oil consumption and industrial production. For the other forms of energy consumption, there is evidence in support of the energy neutrality hypothesis. There is also evidence of causality between employment and electricity consumption as well as coal consumption causing employment.

  11. Total energy consumption in Finland increased by one percent

    International Nuclear Information System (INIS)

    Timonen, L.

    2000-01-01

    The total energy consumption in Finland increased by less than a percent in 1999. The total energy consumption in 1999 was 1310 PJ corresponding to about 31 million toe. The electric power consumption increased moderately by 1.6%, which is less than the growth of the gross national product (3.5%). The final consumption of energy grew even less, only by 0.5%. Import of electric power increased by 19% in 1999. The import of electric power was due to the availability of low-priced electric power on the Nordic electricity markets. Nuclear power generation increased by 5% and the consumption of wood-based fuels by 3%. The increment of the nuclear power generation increased because of the increased output capacity and good operability of the power plants. Wind power production doubles, but the share of it in the total energy consumption is only about 0.01%. The peat consumption decreased by 12% and the consumption of hydroelectric power by 15%. The decrease in production of hydroelectric power was compensated by an increase import of electric power. The consumption of fossil fuels, coal, oil and natural gas remained nearly the same as in 1998. The gasoline consumption, however, decreased, but the consumption of diesel oil increased due to the increased road transport. The share of the fossil fuels was nearly half of the total energy consumption. The consumption of renewable energy sources remained nearly the same, in 23% if the share of peat is excluded, and in 30% if the share of peat is included. Wood-based fuels are the most significant type of renewable fuels. The share of them in 1999 was over 80% of the total usage of the renewable energy sources. The carbon dioxide emissions in Finland decreased in 1999 by 1.0 million tons. The total carbon dioxide emissions were 56 million tons. The decrease was mainly due to the decrease of the peat consumption. The final consumption of energy increased by 0.5%, being hence about 1019 PJ. Industry is the main consumer of energy

  12. Analysis and Monitoring of Energy Consumption and Indoor Climate in a School Before and After Deep Energy Renovation

    DEFF Research Database (Denmark)

    Rose, Jørgen; Thomsen, Kirsten Engelund; Bergsøe, Niels Christian

    2015-01-01

    kindergartens/institutions -- that will undergo deep energy renovation over the next fewyears.The seven buildings are being energy-renovated and monitored with support from the European Union- CONCERTO initiative as part of the project titled Cost-Effective Low-Energy Advanced Sustainable Solutions -- Class1...... ventilation systems with heat recovery, low-energy lighting, water-saving measures, improved insulation of piping, and improved control using building energy management systems. This paper presents preliminary results of the analysis and monitoring of energy consumption and indoor climate in one public school...

  13. Climate impacts on extreme energy consumption of different types of buildings.

    Directory of Open Access Journals (Sweden)

    Mingcai Li

    Full Text Available Exploring changes of building energy consumption and its relationships with climate can provide basis for energy-saving and carbon emission reduction. Heating and cooling energy consumption of different types of buildings during 1981-2010 in Tianjin city, was simulated by using TRNSYS software. Daily or hourly extreme energy consumption was determined by percentile methods, and the climate impact on extreme energy consumption was analyzed. The results showed that days of extreme heating consumption showed apparent decrease during the recent 30 years for residential and large venue buildings, whereas days of extreme cooling consumption increased in large venue building. No significant variations were found for the days of extreme energy consumption for commercial building, although a decreasing trend in extreme heating energy consumption. Daily extreme energy consumption for large venue building had no relationship with climate parameters, whereas extreme energy consumption for commercial and residential buildings was related to various climate parameters. Further multiple regression analysis suggested heating energy consumption for commercial building was affected by maximum temperature, dry bulb temperature, solar radiation and minimum temperature, which together can explain 71.5 % of the variation of the daily extreme heating energy consumption. The daily extreme cooling energy consumption for commercial building was only related to the wet bulb temperature (R2= 0.382. The daily extreme heating energy consumption for residential building was affected by 4 climate parameters, but the dry bulb temperature had the main impact. The impacts of climate on hourly extreme heating energy consumption has a 1-3 hour delay in all three types of buildings, but no delay was found in the impacts of climate on hourly extreme cooling energy consumption for the selected buildings.

  14. Policy Pathways: Energy Management Programmes for Industry

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-09-06

    The IEA Policy Pathway publications provide details on how to implement specific recommendations drawn from the IEA 25 Energy Efficiency Policy Recommendations. This Policy Pathway, jointly produced by the International Energy Agency and the Institute for Industrial Productivity, develops the critical steps for policy makers implementing energy management programmes for industry. Optimising energy use in industry is essential to improve industrial competitiveness and achieve wider societal goals such as energy security, economic recovery and development, climate change mitigation and environmental protection.While there is significant potential to decrease energy consumption in this sector, opportunities to improve energy efficiency are still under-exploited. Energy management programmes have shown to be instrumental in addressing many of the barriers that inhibit wide-scale uptake of energy management in industry. The Policy Pathway builds on lessons learned from country experiences and provides actionable guidance on how to plan and design, implement, evaluate and monitor energy management programmes for industry.

  15. Energy consumption, political regime and economic growth in sub-Saharan Africa

    International Nuclear Information System (INIS)

    Adams, Samuel; Klobodu, Edem Kwame Mensah; Opoku, Eric Evans Osei

    2016-01-01

    In this paper, we examine the relationship between energy consumption and economic growth, and how democracy moderates this relationship using panel data of 16 sub-Saharan African (SSA) countries for the period 1971–2013. Employing a panel vector autoregressive model (PVAR) in a generalized method of moments (GMM) framework, the findings support the feedback hypothesis for energy consumption and growth. Second, the interaction variable (energy consumption and democracy) is positively and significantly related to economic growth, supporting the view that democracy moderates the energy consumption and growth nexus. Further, the results provide strong evidence of a uni-directional relationship from trade openness to energy consumption. Additionally, impulse responses and variance decompositions also confirm positive feedback relationships between energy consumption and economic growth, energy prices and economic growth. - Highlights: •Feedback exists between energy consumption and economic growth. •Democracy moderates the energy consumption and growth nexus. •positive feedback between energy prices and economic growth. •Uni-directional relationship from openness to energy consumption.

  16. An energy management approach of hybrid vehicles using traffic preview information for energy saving

    International Nuclear Information System (INIS)

    Zheng, Chunhua; Xu, Guoqing; Xu, Kun; Pan, Zhongming; Liang, Quan

    2015-01-01

    Highlights: • Energy management approach of hybrid vehicles using traffic preview information. • Vehicle velocity profile and fuel consumption are optimized at the same time. • It is proved that a further energy saving is achieved by the proposed approach. • The proposed approach is useful especially for autonomous hybrid vehicles. - Abstract: The traffic preview information is very helpful for hybrid vehicles when distributing the power requirement of the vehicle to power sources and when determining the next driving route of the vehicle. In this research, an energy management approach for hybrid vehicles is proposed, which optimizes the vehicle velocity profile while minimizing the fuel consumption with the help of the traffic preview information, so that a further energy saving for hybrid vehicles can be achieved. The Pontryagin’s Minimum Principle (PMP) is adopted on the proposed approach. A fuel cell hybrid vehicle (FCHV) is selected as an example, and the proposed energy management approach is applied to the FCHV in a computer simulation environment for the offline and online cases respectively. Simulation results show that the fuel economy of the FCHV is improved by the proposed energy management approach compared to a benchmark case where the driving cycle is fixed and only the hybrid power split (allocation) ratio is optimized. The proposed energy management approach is useful especially for the autonomous hybrid vehicles.

  17. Changing practices of energy consumption

    DEFF Research Database (Denmark)

    Christensen, Toke Haunstrup; Friis, Freja; Skjølsvold, Tomas Moe

    2017-01-01

    to produce hydrogen for transport use), whereas others emphasise the role of individual consumers. The latter approach is dominant within the smart grid vision. In this paper, we explore implications of smart grid technologies in households for the everyday practices related to electricity consumption...... (microgeneration) influence the everyday practices? What kind of influence does the combination of PVs with other “smart” energy technologies have on everyday practices and electricity consumption patterns? A specific focus is on the time patterns of households’ energy consumption. The analysis is based...... settlement scheme (hourly versus annual net metering) and the trial context play a role. Also, the study finds a broader interest in increasing the level of self-sufficiency through combining PVs with home batteries. Finally, the paper discusses a distinct (male) gendering in relation to who is most actively...

  18. Analysis and Optimization of Building Energy Consumption

    Science.gov (United States)

    Chuah, Jun Wei

    Energy is one of the most important resources required by modern human society. In 2010, energy expenditures represented 10% of global gross domestic product (GDP). By 2035, global energy consumption is expected to increase by more than 50% from current levels. The increased pace of global energy consumption leads to significant environmental and socioeconomic issues: (i) carbon emissions, from the burning of fossil fuels for energy, contribute to global warming, and (ii) increased energy expenditures lead to reduced standard of living. Efficient use of energy, through energy conservation measures, is an important step toward mitigating these effects. Residential and commercial buildings represent a prime target for energy conservation, comprising 21% of global energy consumption and 40% of the total energy consumption in the United States. This thesis describes techniques for the analysis and optimization of building energy consumption. The thesis focuses on building retrofits and building energy simulation as key areas in building energy optimization and analysis. The thesis first discusses and evaluates building-level renewable energy generation as a solution toward building energy optimization. The thesis next describes a novel heating system, called localized heating. Under localized heating, building occupants are heated individually by directed radiant heaters, resulting in a considerably reduced heated space and significant heating energy savings. To support localized heating, a minimally-intrusive indoor occupant positioning system is described. The thesis then discusses occupant-level sensing (OLS) as the next frontier in building energy optimization. OLS captures the exact environmental conditions faced by each building occupant, using sensors that are carried by all building occupants. The information provided by OLS enables fine-grained optimization for unprecedented levels of energy efficiency and occupant comfort. The thesis also describes a retrofit

  19. Low energy consumption vortex wave flow membrane bioreactor.

    Science.gov (United States)

    Wang, Zhiqiang; Dong, Weilong; Hu, Xiaohong; Sun, Tianyu; Wang, Tao; Sun, Youshan

    2017-11-01

    In order to reduce the energy consumption and membrane fouling of the conventional membrane bioreactor (MBR), a kind of low energy consumption vortex wave flow MBR was exploited based on the combination of biofilm process and membrane filtration process, as well as the vortex wave flow technique. The experimental results showed that the vortex wave flow state in the membrane module could be formed when the Reynolds number (Re) of liquid was adjusted between 450 and 1,050, and the membrane flux declined more slowly in the vortex wave flow state than those in the laminar flow state and turbulent flow state. The MBR system was used to treat domestic wastewater under the condition of vortex wave flow state for 30 days. The results showed that the removal efficiency for CODcr and NH 3 -N was 82% and 98% respectively, and the permeate quality met the requirement of 'Water quality standard for urban miscellaneous water consumption (GB/T 18920-2002)'. Analysis of the energy consumption of the MBR showed that the average energy consumption was 1.90 ± 0.55 kWh/m 3 (permeate), which was only two thirds of conventional MBR energy consumption.

  20. Disaggregate energy consumption and industrial production in South Africa

    Energy Technology Data Exchange (ETDEWEB)

    Ziramba, Emmanuel [Department of Economics, University of South Africa, P.O Box 392, UNISA 0003 (South Africa)

    2009-06-15

    This paper tries to assess the relationship between disaggregate energy consumption and industrial output in South Africa by undertaking a cointegration analysis using annual data from 1980 to 2005. We also investigate the causal relationships between the various disaggregate forms of energy consumption and industrial production. Our results imply that industrial production and employment are long-run forcing variables for electricity consumption. Applying the [Toda, H.Y., Yamamoto, T., 1995. Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66, 225-250] technique to Granger-causality, we find bi-directional causality between oil consumption and industrial production. For the other forms of energy consumption, there is evidence in support of the energy neutrality hypothesis. There is also evidence of causality between employment and electricity consumption as well as coal consumption causing employment. (author)

  1. The effect of energy performance regulations on energy consumption

    NARCIS (Netherlands)

    Guerra-Santin, O.; Itard, L.

    2012-01-01

    Governments have developed energy performance regulations in order to lower energy consumption in the housing stock. Most of these regulations are based on the thermal quality of the buildings. In the Netherlands, the energy efficiency for new buildings is expressed as the EPC (energy performance

  2. Community energy auditing: experience with the comprehensive community energy management program

    Energy Technology Data Exchange (ETDEWEB)

    Moore, J.L.; Berger, D.A.; Rubin, C.B.; Hutchinson, P.A. Sr.; Griggs, H.M.

    1980-09-01

    The report provides local officials and staff with information on lessons from the audit, projection, and general planning experiences of the Comprehensive Community Energy Management Program (CCEMP) communities and provides ANL and US DOE with information useful to the further development of local energy management planning methods. In keeping with the objectives, the report is organized into the following sections: Section II presents the evaluation issues and key findings based on the communities' experiences from Spring of 1979 to approximately March of 1980; Section III gives an organized review of experience of communities in applying the detailed audit methodology for estimating current community energy consumption and projecting future consumption and supply; Section IV provides a preliminary assessment of how audit information is being used in other CCEMP tasks; Section V presents an organized review of preliminary lessons from development of the community planning processes; and Section VI provides preliminary conclusions on the audit and planning methodology. (MCW)

  3. EFFECTIVE MANAGEMENT CONCEPT OF POWER CONSUMPTION OF INDUSTRIAL ENTERPRISE

    Directory of Open Access Journals (Sweden)

    Vladimir A. Koksharov

    2014-01-01

    Full Text Available The article distinguishes the methodological and systematic fundamentals for the formation of energy policy of the industrial enterprise. The article performes the analysis of Russian state policy in the field of energy efficiency and conservation , which allows to identify the organizational-economic and regulatory drawbacks proving the existing contradiction between the economic interests of the state and private business in the field of energy efficiency and power supply. Author proposes and formulates the management concept of power consumption of industrial enterprise. The concept includes a number of propositions, the dynamic normal of energy efficiency and energy saving playing the key role. It is regarded as a business model of energy efficiency and energy saving that provides the implementation of both economic and energetic strategies of enterprise.

  4. Household vehicles energy consumption 1994

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-08-01

    Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

  5. ENERGY CONSUMPTION AND REAL GDP IN IRAN

    Directory of Open Access Journals (Sweden)

    Ali Akbar Naji Meidani

    2014-01-01

    Full Text Available As one of the most important production factors and one of the most urgent final products, energy has a special position in the growth and development of the country. This paper examines the causal relationship between Real GDP and energy consumption in various economic sectors including (household and commercial, industry, transportation and agriculture sectors for Iran during 1967–2010 using the time series technique known as the Toda-Yamamoto method. Moreover, an error correction model is also estimated so that the results of these two methods are compared. We found a strong unidirectional causality from energy consumption in industry sector to real gross domestic product. Energy consumption in industry sector can observably promote the development of economy.

  6. Energy management of DSL systems: Experimental findings

    KAUST Repository

    Guenach, Mamoun

    2013-12-01

    We present a measurement study of the energy consumption of an operator-side digital subscriber line (DSL) board under various conditions of data rate and power spectral density, with and without vectoring. The results highlight practical opportunities and challenges for optimizing rate-power-stability tradeoffs in DSL access systems, complementing simulation-based studies focused on energy reduction through spectral optimization. We validate models for line board consumption that can be tied with line driver consumption based on the aggregate transmit power of each line, and demonstrate that near-optimal rate-power-stability tradeoffs can be obtained through external line management of data rate, Signal-to-Noise-Ratio margin and power spectral density parameters. © 2013 IEEE.

  7. Beverage Consumption and Adult Weight Management: A Review

    OpenAIRE

    Dennis, Elizabeth A.; Flack, Kyle D.; Davy, Brenda M.

    2009-01-01

    Total energy consumption among United States adults has increased in recent decades, and energy-containing beverages are a significant contributor to this increase. Because beverages are less satiating than solid foods, consumption of energy-containing beverages may increase energy intake and lead to weight gain; trends in food and beverage consumption coinciding with increases in overweight and obesity support this possibility. The purpose of this review is to present what is known about the...

  8. Energy consumption and CO2 emissions in Iran, 2025

    International Nuclear Information System (INIS)

    Mirzaei, Maryam; Bekri, Mahmoud

    2017-01-01

    Climate change and global warming as the key human societies' threats are essentially associated with energy consumption and CO 2 emissions. A system dynamic model was developed in this study to model the energy consumption and CO 2 emission trends for Iran over 2000–2025. Energy policy factors are considered in analyzing the impact of different energy consumption factors on environmental quality. The simulation results show that the total energy consumption is predicted to reach 2150 by 2025, while that value in 2010 is 1910, which increased by 4.3% yearly. Accordingly, the total CO 2 emissions in 2025 will reach 985 million tonnes, which shows about 5% increase yearly. Furthermore, we constructed policy scenarios based on energy intensity reduction. The analysis show that CO 2 emissions will decrease by 12.14% in 2025 compared to 2010 in the scenario of 5% energy intensity reduction, and 17.8% in the 10% energy intensity reduction scenario. The results obtained in this study provide substantial awareness regarding Irans future energy and CO 2 emission outlines. - Highlights: • Creation of an energy consumption model using system dynamics. • The effect of different policies on energy consumption and emission reductions. • An ascending trend for the environmental costs caused by CO 2 emissions is observed. • An urgent need for energy saving and emission reductions in Iran.

  9. Research on Energy Management Strategy of Hybrid Electric Vehicle

    Directory of Open Access Journals (Sweden)

    Deng Tao

    2015-01-01

    Full Text Available To improve the fuel economy and reduce emissions of hybrid electric vehicles, energy management strategy has received high attention. In this paper, by analyzing the deficiency of existing energy management strategy for hybrid cars, it not only puts forward the minimal equivalent fuel consumption adaptive strategy, but also is the first time to consider the driving dynamics target simultaneously, and to explain the future development direction of China’s hybrid energy management strategy.

  10. Household pathway selection of energy consumption during urbanization process in China

    International Nuclear Information System (INIS)

    Sun, Chuanwang; Ouyang, Xiaoling; Cai, Hongbo; Luo, Zhichao; Li, Aijun

    2014-01-01

    Highlights: • Energy consumption patterns have long-term impacts on energy demand. • We explore determinants and structure of household energy consumption. • Tobit and OLS models are adopted to explore factors influencing energy expenditure. • Residential energy consumption in 2030 is evaluated using scenario analysis. - Abstract: China’s growing energy demand is driven by urbanization. Facing the problem of energy scarcity, residential energy consumption is a crucial area of energy conservation and emissions reduction. Household energy consumption patterns, which are characterized by effects of “path lock-in”, have long-term impacts on China’s energy demand. Based on the survey data, this paper explores factors that influence household energy consumption and analyzes the structure of residential energy consumption in China. Based on the results of analysis of variance (ANOVA), this paper applies the Tobit and Ordinary Least Squares (OLS) models to investigate impacts of variables of “the tiered pricing for household electricity (TPHE)”, “solar energy usage”, “automobile ownership”, “rural or urban areas”, “household income” and “city scale” on the residential energy expenditure. In addition, household energy consumption is estimated under different scenarios including improving the utilization of solar energy, rise in energy prices and the increase in automobile ownership. Residential energy consumption in 2030 is evaluated by simulating different models for urban development. Policy recommendations are suggested for China’s urban development strategy, new energy development and household pathway selection of energy consumption

  11. Energy management handbook for building operating engineers student workbook

    Energy Technology Data Exchange (ETDEWEB)

    1979-09-01

    The handbook provides operating engineers with the basic information needed to implement specific energy conservation opportunities, and additional information is presented relative to the formulation and development of the energy management plan. Chapters are entitled: The Need for Energy Management (International Factors, The US Energy Situation, Energy and the Building Owner); The Fundamentals of Energy Consumption in Buildings (Energy Basics, Heat Basics, Heat Flow and the Building Envelope, Air and Comfort, Factors Affecting Energy Use In Buildings); Principles of Energy Conservation (Building Energy Consumption Characteristics); Planning the Energy Management Program (Obtaining Commitment and Support, Establishing the Energy Use Index, Organizing to Develop the Plan, Developing and Implementing the Plan); Conducting a Survey of Facilities and Operations (The Energy Audit, Preparation of Building and Systems Profile, Measurement and Instrumentation); Guidelines for Energy Conservation (Operator ECO's, Owner ECO'S); Developing the Draft Final Plan (Analyze Survey Findings, Putting the Plan on Paper, Review and Submit); Implementing the Program (Developing the Final Plan, Implementing the Plan, Monitoring and Updating the Program). A glossary is included and specific information on degree days and cooling hours for some selected cities and a computer energy study data for the New York Hilton are included in appendices. (MCW)

  12. The relationship between energy consumption structure, economic structure and energy intensity in China

    International Nuclear Information System (INIS)

    Feng Taiwen; Sun Linyan; Zhang Ying

    2009-01-01

    This paper investigates the long-run equilibrium relationships, temporal dynamic relationships and causal relationships between energy consumption structure, economic structure and energy intensity in China. Time series variables over the periods from 1980 to 2006 are employed in empirical tests. Cointegration tests suggest that these three variables tend to move together in the long-run. In addition, Granger causality tests indicate that there is a unidirectional causality running from energy intensity to economic structure but not vice versa. Impulse response analysis provides reasonable evidences that one shock of the three variables will cause the periods of destabilized that followed. However, the impact of the energy consumption structure shock on energy intensity and the impact of the economic structure shock on energy consumption structure seem to be rather marginal. The findings have significant implications from the point of view of energy conservation and economic development. In order to decrease energy intensity, Chinese government must continue to reduce the proportion of coal in energy consumption, increase the utilization efficiency of coal and promote the upgrade of economic structure. Furthermore, a full analysis of factors that may relate to energy intensity (e.g. energy consumption structure, economic structure) should be conducted before making energy policies.

  13. Consumption of fuels and energy in the coking industry and ways of reducing consumption

    Energy Technology Data Exchange (ETDEWEB)

    Vasil' ev, Yu.S.; Tsel' ik, M.P.; Belkina, T.V. (Khar' kovskii Nauchno-Issledovatel' skii Uglekhimicheski Institut (USSR))

    1989-08-01

    Coking plants in the USSR consume 4,000 million kWh electric energy, 100 million GJ heat energy and 35,000 million m{sup 3} gaseous fuels per year. Structure of energy consumption is the following: 68% gaseous fuels, 24% steam and 8% electric energy. Processes of coal preparation, crushing, mixing, coking and quenching are analyzed from the point of view of energy consumption. The following methods for reducing energy consumption are discussed: using the FM-25 flotation machines for flotation of coking coal slurries, briquetting the whole coal charge for coking, optimization of air supply rates for combustion of gases used for coke oven heating, use of control systems for coke oven heating considering coal charge density, waste heat utilization from quenching. 4 refs.

  14. Estimates of US biomass energy consumption 1992

    International Nuclear Information System (INIS)

    1994-01-01

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large

  15. Estimates of US biomass energy consumption 1992

    Energy Technology Data Exchange (ETDEWEB)

    1994-05-06

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  16. The long-term relationships among China's energy consumption sources and adjustments to its renewable energy policy

    International Nuclear Information System (INIS)

    Zou Gaolu

    2012-01-01

    To reduce its consumption of coal and oil in its primary energy consumption, China promotes the development of renewable energy resources. I have analysed the long-term relationship among China's primary energy consumption sources. Changes in coal consumption lead those in the consumption of other energy sources in the long term. Coal and oil fuels substitute for each other equally. The long-term elasticities of China's coal consumption relative to its hydroelectricity consumption were greater than one and nearly equal during the two sample periods. Therefore, increased hydroelectricity consumption did not imply a reduction in coal consumption. China holds abundant hydroelectricity, wind and, solar energy potential. China must prevent an excessive escalation of its economy and resultant energy demand to realise a meaningful substitution of coal with hydroelectricity. Moreover, China must develop and use wind and solar energy sources. Natural gas can be a good substitute for coal, given its moderate price growth and affordable price levels. - Highlights: ► Coal consumption changes lead those of other energy sources in the long term. ► Coal and oil fuels substitute for each other equally. ► Increased hydroelectricity consumption has not meant lower coal consumption. ► Wind, solar and natural gas are China's promising energy sources.

  17. Energy consumption and economic growth revisited in African countries

    Energy Technology Data Exchange (ETDEWEB)

    Eggoh, Jude C., E-mail: comlanvi-jude.eggoh@univ-orleans.fr [Laboratoire d' Economie d' Orleans (LEO), Universite d' Orleans, Rue de Blois, BP: 6739, 45067 Orleans Cedex 2 (France); Bangake, Chrysost [Laboratoire d' Economie d' Orleans (LEO), Universite d' Orleans, Rue de Blois, BP: 6739, 45067 Orleans Cedex 2 (France); Universite d' Artois and Laboratoire EQUIPPE, Lille 1, FSES, 59655 Villeneuve d' Ascq Cedex (France); Rault, Christophe [Laboratoire d' Economie d' Orleans (LEO), Universite d' Orleans, Rue de Blois, BP: 6739, 45067 Orleans Cedex 2 (France); Toulouse Business School (France)

    2011-11-15

    The aim of this paper is to provide new empirical evidence on the relationship between energy consumption and economic growth for 21 African countries over the period from 1970 to 2006, using recently developed panel cointegration and causality tests. The countries are divided into two groups: net energy importers and net energy exporters. It is found that there exists a long-run equilibrium relationship between energy consumption, real GDP, prices, labor and capital for each group of countries as well as for the whole set of countries. This result is robust to possible cross-country dependence and still holds when allowing for multiple endogenous structural breaks, which can differ among countries. Furthermore, we find that decreasing energy consumption decreases growth and vice versa, and that increasing energy consumption increases growth, and vice versa, and that this applies for both energy exporters and importers. Finally, there is a marked difference in the cointegration relationship when country groups are considered. - Highlights: > We assess the energy consumption and economic growth nexus in 21 African countries. > There exists a long-run relationship between energy consumption and economic growth. > This result is robust to cross-country dependence and for structural breaks. > Our findings finally support the feedback hypothesis of bidirectional causality.

  18. Analysis of a Residential Building Energy Consumption Demand Model

    Directory of Open Access Journals (Sweden)

    Meng Liu

    2011-03-01

    Full Text Available In order to estimate the energy consumption demand of residential buildings, this paper first discusses the status and shortcomings of current domestic energy consumption models. Then it proposes and develops a residential building energy consumption demand model based on a back propagation (BP neural network model. After that, taking residential buildings in Chongqing (P.R. China as an example, 16 energy consumption indicators are introduced as characteristics of the residential buildings in Chongqing. The index system of the BP neutral network prediction model is established and the multi-factorial BP neural network prediction model of Chongqing residential building energy consumption is developed using the Cshap language, based on the SQL server 2005 platform. The results obtained by applying the model in Chongqing are in good agreement with actual ones. In addition, the model provides corresponding approximate data by taking into account the potential energy structure adjustments and relevant energy policy regulations.

  19. Energy consumption and technological developments

    International Nuclear Information System (INIS)

    Okorokov, V.R.

    1990-02-01

    The paper determines an outline of the world energy prospects based on principal trends of the development of energy consumption analysed over the long past period. According to the author's conclusion the development of energy systems will be determined in the nearest future (30 - 40 years) by contemporary energy technologies based on the exploitation of traditional energy resources but in the far future technologies based on the exploitation of thermonuclear and solar energy will play the decisive role. (author)

  20. Cities and Energy Consumption: a Critical Review

    Directory of Open Access Journals (Sweden)

    Carmela Gargiulo

    2017-12-01

    Full Text Available The relationship between cities and energy consumption has been of great interest for the scientific community for over twenty years. Most of the energy consumption, indeed, occurs in cities because of the high concentration of human activities. Thus, cities are responsible for a big share of carbon dioxide emissions (CO2. However, the debate on this topic is still open, mainly because of the heterogeneity of published studies in the selection, definition and measurement of the urban features influencing energy consumption and CO2 emissions, as well as in the choice of the energy sectors to be considered, in the territorial scale of analysis, and in the geographical distribution of the sample. Therefore, the goal of this research is to systematize and compare the approach, methodology and results of the relevant literature on the relationship between cities and energy consumption over the last twenty years. Furthermore, this critical review identifies the knowledge gap between what is known and what is still under debate and, based on that, it proposes a conceptual framework that will help to outline a new direction for future research and support local policy makers in the definition of strategies and actions that can effectively reduce urban energy use and CO2 emissions.

  1. Energy drink consumption among young adults in Denmark

    DEFF Research Database (Denmark)

    Friis, Karina; Lasgaard, Mathias Kamp; Larsen, Finn Breinholt

    2015-01-01

    -demographic factors and health behaviour with energy drink consumption among young adults (16-24 years) in Denmark. Methods The study is based on a public health survey from 2010 (n = 3923). Multiple logistic regression analyses were used to analyse the association between weekly consumption of energy drink...... and the potential explanatory factors of interest. Results In total, 15.8 % of the young adults drink energy drinks on a weekly basis. Men have higher odds of weekly energy drink consumption than women. The study also shows that young age, being employed and having a low educational level are associated with weekly...

  2. Economic growth and energy consumption in Algeria: a causality analysis

    International Nuclear Information System (INIS)

    Cherfi, S.

    2011-01-01

    The purpose of this study is to review the causal link in the Granger sense, between energy consumption and economic growth in Algeria, to determine its implications for economic policy. The analysis was done based on Granger static and causality tests using statistical data on per capita primary energy consumption and gross domestic product per inhabitant in Algeria, over the 1965-2008 period. The results of the survey show that there is, in Algeria, a strong link between energy consumption per inhabitant and GDP per inhabitant. The results also suggest the lack of a long term impetus (no co-integration) between energy consumption and economic growth. In addition, there is a one-way causal link between GDP and energy consumption, i.e. the prior GDP data provides a better forecast of energy consumption level, but not the contrary. In other words, GDP explains consumption, not the contrary. (author)

  3. The Relationship Between Energy Consumption and Economic ...

    African Journals Online (AJOL)

    As evidenced from the study, causality runs from energy consumption to economic growth. Energy consumption in Nigeria is mainly based on the use of fossil fuels which is non-renewable. Therefore, in order to actualize its vision of becoming one of the 20th largest economies in the World by the year 2020, government ...

  4. Energy Consumption and Greenhouse Gas Emission of Korean Offshore Fisheries

    Science.gov (United States)

    Lee, Jihoon; Kim, Taeho; Ellingsen, Harald; Hognes, Erik Skontorp; Hwang, Bokyu

    2018-06-01

    This paper presents the energy and greenhouse gas (GHG) emission assessments of Korean offshore fisheries. The consumption of energy by fisheries is a significant concern because of its attendant environmental effect, as well as the cost of the fuel consumed in fishing industry. With the global attention of reducing GHG emission and increasing energy efficiency of fuel, the seafood industry needs to further understand its energy use and reduce its GHG emission. In the present study, the amount of energy consumed and the GHG emission of Korean offshore fisheries in a period from 2009 to 2013 were examined. Offshore fisheries accounted for 24% of Korean production in 2013 and 60% of fuel consumption related GHG emission. Whereas the total GHG emission intensity of this sector improved slightly between 2009 and 2012; as such emission decreased by approximately 1.9%, which increased again in 2013. The average amount of total GHG emission in this five years period was 1.78 × 106 tons of carbon dioxide equivalent/year (t CO2 eq. y-1). Active fishing gear was found to consume 20% more fuel than passive gear. However, the production from passive gear was 28%, lower than 72% from active gear. The reason for this is that less abundant stationary resources are harvested using passive gear. Furthermore, the consumption of fuel was significantly influenced by the fishing method. Implementation and development of new fishing technologies and methods are important for improving energy efficiency and reducing the climate impact on fisheries. To realize these purposes, the fishery management system needs to be established by centralizing on energy efficiency and climate effect.

  5. Energy Drink Consumption Practices of Young People in Bahrain.

    Science.gov (United States)

    Nassaif, Maryam M; Alobed, Ghufran J J; Alaam, Noor A A; Alderrazi, Abdulla N; Awdhalla, Muyssar S; Vaithinathan, Asokan G

    2015-01-01

    Energy drink (ED) consumption is becoming increasingly popular among young Bahrainis, who may be unaware of the health risks associated with ED consumption. To date, there have been few publications on the consumption of ED in Bahrain, particularly among adolescents. This study seeks to fill a gap in the literature on energy drink consumption practices of Bahraini adolescents. Data were collected using a previously established European Food Safety Authority questionnaire. Cross-sectional analyses were conducted on a convenience sample of 262 Bahraini students aged 10 to 18 years. Most participants consumed energy drinks 2 to 3 times per week and consumed two or more cans at a time. Eighty percent of partcipants preferred energy drinks with sugar. Participants in the older age group and higher educational level consumed more ED. The majority (57%) consumed ED at home with friends as part of socialization. Notably, 60% of the parents of the respondents have not consumed energy drinks. Prominent reasons for consumption of energy drinks included: taste (40%), energy (30%), stay awake (13%), augment concentration (4%), and enhance sports performance (6%). Energy drink consumption is a popular socialization activity among adolescents of Bahrain. The potential health risks necessitates the need for novel health promotion strategies and advocacy efforts for healthy hydration practices.

  6. A Meta Model for Domestic Energy Consumption

    Directory of Open Access Journals (Sweden)

    K.,J SREEKANTH

    2011-01-01

    Full Text Available Prediction of energy consumption particularly in micro level is of vital importance in terms of energy planning and also implementation of any Clean Development Mechanism (CDM activities that has become the order of the world today. It may be difficult to model household energy consumption using conventional methods such as time series forecasting due to many influencing factors. This paper presents a step wise regression model for forecasting domestic energy consumption based on micro level household survey data collected from Kerala, a state in southern part of India. The analysis of the data reveals significant influence of socio-economic, demographic, geographic, and family attributes upon total household energy requirements. While a wide variation in the pattern of energy requirements across the domestic sector belonging to different expenditure classes, per capita income level can be identified as the most important explanatory variable influencing variation in energy requirements. The models developed also demonstrates the influence of per capita land area, residential area among the higher income group while average age and literacy forms significant variables among the lower income group.

  7. Energy consumption and economic growth: A causality analysis for Greece

    International Nuclear Information System (INIS)

    Tsani, Stela Z.

    2010-01-01

    This paper investigates the causal relationship between aggregated and disaggregated levels of energy consumption and economic growth for Greece for the period 1960-2006 through the application of a later development in the methodology of time series proposed by Toda and Yamamoto (1995). At aggregated levels of energy consumption empirical findings suggest the presence of a uni-directional causal relationship running from total energy consumption to real GDP. At disaggregated levels empirical evidence suggests that there is a bi-directional causal relationship between industrial and residential energy consumption to real GDP but this is not the case for the transport energy consumption with causal relationship being identified in neither direction. The importance of these findings lies on their policy implications and their adoption on structural policies affecting energy consumption in Greece suggesting that in order to address energy import dependence and environmental concerns without hindering economic growth emphasis should be put on the demand side and energy efficiency improvements.

  8. Potential reduction of energy consumption in public university library

    Science.gov (United States)

    Noranai, Z.; Azman, ADF

    2017-09-01

    Efficient electrical energy usage has been recognized as one of the important factor to reduce cost of electrical energy consumption. Various parties have been emphasized about the importance of using electrical energy efficiently. Inefficient usage of electrical energy usage lead to biggest factor increasing of administration cost in Universiti Tun Hussein Onn Malaysia. With this in view, a project the investigate potential reduction electrical energy consumption in Universiti Tun Hussein Onn Malaysia was carried out. In this project, a case study involving electrical energy consumption of Perpustakaan Tunku Tun Aminah was conducted. The scopes of this project are to identify energy consumption in selected building and to find the factors that contributing to wastage of electrical energy. The MS1525:2001, Malaysian Standard - Code of practice on energy efficiency and use of renewable energy for non-residential buildings was used as reference. From the result, 4 saving measure had been proposed which is change type of the lamp, install sensor, decrease the number of lamp and improve shading coefficient on glass. This saving measure is suggested to improve the efficiency of electrical energy consumption. Improve of human behaviour toward saving energy measure can reduce 10% from the total of saving cost while on building technical measure can reduce 90% from total saving cost.

  9. Energy balance of chosen crops and their potential to saturate energy consumption in Slovakia

    Directory of Open Access Journals (Sweden)

    Katarína Hrčková

    2016-06-01

    Full Text Available The aim of the present work was to assess and compare energy inputs and outputs of various crop managements in 2011–2012. Two main crops on arable land and three permanent grasslands were investigated. Silage maize (Zea mays L. and winter wheat (Triticum aestivum L. were grown on lowland, whilst two semi-natural grasslands and grassland infested by tufted hair-grass (Deschampsia caespitose (L. P. Beauv were located in mountainous regions of Slovakia. In these crops and grasslands the dry matter yield was measured and subsequently the supplementary energy, energy gain and unifying energy value – tonne of oil equivalent (TOE – were calculated. Silage maize with 233.37 GJ*ha-1 has provided the highest energy gain. In the group of grasslands, grassland infested by tufted hair-grass has offered the highest energy gain (59.77 GJ*ha-1. And this grassland had the lowest requirement on the supplementary energy (3.66 GJ*ha-1, contrary to silage maize with highest one (12.37 GJ*ha-1. The total energy potential of the crop biomasses was confronted with energy consumption in Slovakia. Winter wheat has the biggest energy potential, but it could cover only 19.6% and 11.3% total consumption of electricity or natural gas, respectively. Large area of permanent grasslands and their spatial location make them an important energy reservoir for bioenergy production. But, it is not possible to replace all consumed fossil fuels by bioenergy from these tested renewable energy sources.

  10. Dietary patterns of obese high school girls: snack consumption and energy intake

    OpenAIRE

    Yoon, Jin-Sook; Lee, Nan-Jo

    2010-01-01

    In order to develop an obesity management program for teenagers, we compared obese and non-obese girls attending high schools in terms of their dietary practices related to snack consumption. Dietary records were collected for 7 days. No significant differences were found for the average daily energy intake between obese and non-obese girls. However, the highest energy intake was greater for obese girls while not much difference was found for the lowest amount of energy intake. Obese girls ha...

  11. Final Scientific/Technical Report: Context-Aware Smart Home Energy Manager (CASHEM)

    Energy Technology Data Exchange (ETDEWEB)

    Foslien, Wendy K. [Honeywell International Inc., Golden Valley, MN (United States); Curtner, Keith L. [Honeywell International Inc., Golden Valley, MN (United States)

    2013-01-15

    Because of growing energy demands and shortages, residential home owners are turning to energy conservation measures and smart home energy management devices to help them reduce energy costs and live more sustainably. In this context, the Honeywell team researched, developed, and tested the Context Aware Smart Home Energy Manager (CASHEM) as a trusted advisor for home energy management. The project focused on connecting multiple devices in a home through a uniform user interface. The design of the user interface was an important feature of the project because it provided a single place for the homeowner to control all devices and was also where they received coaching. CASHEM then used data collected from homes to identify the contexts that affect operation of home appliances. CASHEM's goal was to reduce energy consumption while keeping the user's key needs satisfied. Thus, CASHEM was intended to find the opportunities to minimize energy consumption in a way that fit the user's lifestyle.

  12. The network-based energy management system for convenience stores

    Energy Technology Data Exchange (ETDEWEB)

    Wang, An-Ping; Hsu, Pau-Lo [Department of Electrical and Control Engineering, National Chiao-Tung University, 1001 Ta-Hsiue Road, Hsinchu City 310 (China)

    2008-07-01

    Convenience stores generally consume energy higher than other retailing merchants. As the problem of energy shortage becomes more serious during summer, almost all convenience stores sign a contract with power plants, which provides for fines if demand limiting occurs in Taiwan and many other countries. Therefore, a reliable and effective method to reduce their utility consumption is required for modern business and industry. This research integrates the remote sensors, the control network, and the embedded system technologies to construct a distributed energy management control system for dedicated convenience stores. Energy consumption can thus be reasonably managed with demand limits by measuring and analyzing the power consumption sources in four major subsystems of convenience stores, namely, (1) air-conditioning, (2) lighting, (3) heating, and (4) refrigeration. By applying the proposed demand prediction and control method, the demand limiting condition can be properly predicted, and the possible peak load can thus be eliminated via the network control mechanism. Moreover, by integrating the LonWork fieldbus and the WinCE operating system (OS), the proposed system has been successfully applied to a convenience store. The experimental results indicate that the proposed distributed energy management system suitably predicts the peak loading condition and successfully prevents its occurrence by switching the air-conditioning system without affecting the indoor temperature regulation. (author)

  13. Final Energy Consumption Trends and Drivers in Czech Republic and Latvia

    Directory of Open Access Journals (Sweden)

    Zhiqian Yu

    2017-08-01

    Full Text Available This paper analyses the trends of final energy consumption in Latvia and Czech Republic. Analysis of final energy consumption during 2000-2013 period indicated the main driving forces of final energy consumption during and after world financial crisis of 2008. The paper aimed to evaluate the impact of economic activity and other factors on final energy consumption. The decomposition of the final energy consumption is assessed by analyzing effect of different drivers by the main end-users sector (industry, transport, households, agriculture, services, activity, demography, lifestyles, structural effects, energy savings etc. The results show that the reduction in final energy consumption in most EU members states before and after year 2008 can be related to the decline in energy intensities within endusers sectors. At the same time, the increase in final energy intensity after the year 2008 is attributed to expansion of energy demand sectors. Comparison of final energy consumption trends and drivers in Latvia and Czech Republic indicated that Czech Republic implemented more policies and measures in industry and tertiary sector and this provided for final energy consumption decreased and huge energy savings in these sectors.

  14. Smart metering gateway works as Smart Home Energy Manager; Smart Metering Gateway als Smart Home Energy Manager

    Energy Technology Data Exchange (ETDEWEB)

    Walter, Klaus-Dieter [SSV Software Systems GmbH, Hannover (Germany)

    2011-07-01

    The installation of smart meters together with real time consumption data visualization doesn't help to save energy CO2 emissions. With regards to refinancing options, the situation in Germany has been quite different since the middle of last year for buildings equipped with a photovoltaic system. If a heat pump system is also present, intelligent energy use in conjunction with smart meters can save considerable amounts of money. A Smart Home Energy Manager (SHEM) automates the energy saving. (orig.)

  15. Interactive energy consumption visualization

    CSIR Research Space (South Africa)

    Lunga, D

    2014-11-01

    Full Text Available in an office building environment. The main goal is to highlight high consumptions patterns, estimate costs and savings, and recommend energy saving strategies. In its useful nature, the dashboard can provide valuable information for further programs tied...

  16. Energy consumption and energy R and D in OECD: Perspectives from oil prices and economic growth

    International Nuclear Information System (INIS)

    Leng Wong, Siang; Chia, Wai-Mun; Chang, Youngho

    2013-01-01

    We estimate the short-run and long-run elasticities of various types of energy consumption and energy R and D to changes in oil prices and income of the 20 OECD countries over the period of 1980–2010 using the Nerlove partial adjustment model (NPAM). We find negative income elasticity for coal consumption but positive income elasticity for oil and gas consumption suggesting the importance of economic growth in encouraging the usage of cleaner energy from coal to oil and gas. By introducing time dummies into the regressions, we show that climatic mitigation policies are able to promote the usage of cleaner energies. Through the dynamic linkages between energy consumption and energy R and D, we find that fossil fuel consumption promotes fossil fuel R and D and fossil fuel R and D in turn drives its own consumption. Renewable energy R and D which is more responsive to economic growth reduces fossil fuel consumption and hence fossil fuel R and D. - Highlights: • Economic growth encourages the use of cleaner forms of energy. • Economic growth promotes renewable energy R and D. • Subsidies for renewable energy R and D promote renewable energy consumption. • Fossil fuel R and D promotes fossil fuel consumption in countries with oil reserves. • Oil consumption reduces significantly with higher oil prices

  17. Simulation of embedded systems for energy consumption estimation

    Energy Technology Data Exchange (ETDEWEB)

    Lafond, S.

    2009-07-01

    Technology developments in semiconductor fabrication along with a rapid expansion of the market for portable devices, such as PDAs and mobile phones, make the energy consumption of embedded systems a major problem. Indeed the need to provide an increasing number of computational intensive applications and at the same time to maximize the battery life of portable devices can be seen as incompatible trends. System simulation is a flexible and convenient method for analyzinging and exploring the performance of a system or sub-system. At the same time, the increasing use of computational intensive applications strengthens the need to maximize the battery life of portable devices. As a consequence, the simulation of embedded systems for energy consumption estimation is becoming essential in order to study and explore the influence of system design choices on the system energy consumption. The original publications presented in the second part of this thesis propose several frameworks for evaluating the effects of particular system and software architectures on the system energy consumption. From a software point of view Java and C based applications are studied, and from a hardware perspective systems using general purpose processor and heterogeneous platforms with dedicated hardware accelerators are analyzed. Papers 1 and 2 present a framework for estimating the energy consumption of an embedded Java Virtual Machine and show how an accurate energy consumption model of Java opcodes can be obtained. Paper 3 evaluates the cost-effectiveness of Forward Error Correction algorithms in terms of energy consumption and demonstrates that a substantial energy saving is achievable in a DVB-H receiver when a FEC algorithm is used for file downloading scenarios. Paper 4 and 5 present the simulation of heterogeneous platforms and point out the drawback of different mechanisms used to synchronize a hardware accelerator used as a peripheral device. Paper 6 shows that the use of a multi

  18. Residential energy consumption: A convergence analysis across Chinese regions

    International Nuclear Information System (INIS)

    Herrerias, M.J.; Aller, Carlos; Ordóñez, Javier

    2017-01-01

    The process of urbanization and the raise of living standards in China have led an increasing trend in the patterns of residential consumption. Projections for the population growth rate in urban areas do not paint a very optimistic picture for energy conservation policies. In addition, the concentration of economic activities around coastal areas calls for new prospects to be formulated for energy policy. In this context, the objective of this paper is twofold. First, we analyse the effect of the urbanization process of the Chinese economy in terms of the long-run patterns of residential energy consumption at national level. By using the concept of club convergence, we examine whether electricity and coal consumption in rural and urban areas converge to the same long-run equilibrium or whether in fact they diverge. Second, the impact of the regional concentration of the economic activity on energy consumption patterns is also assessed by source of energy across Chinese regions from 1995 to 2011. Our results suggest that the process of urbanization has led to coal being replaced by electricity in urban residential energy consumption. In rural areas, the evidence is mixed. The club convergence analysis confirms that rural and urban residential energy consumption converge to different steady-states. At the regional level, we also confirm the effect of the regional concentration of economic activity on residential energy consumption. The existence of these regional clusters converging to different equilibrium levels is indicative of the need of regional-tailored set of energy policies in China.

  19. Accuracy of past projections of US energy consumption

    International Nuclear Information System (INIS)

    O'Neill, B.C.; Desai, Mausami

    2005-01-01

    Energy forecasts play a key role in development of energy and environmental policy. Evaluations of the accuracy of past projections can provide insight into the uncertainty that may be associated with current forecasts. They can also be used to identify sources of inaccuracies, and potentially lead to improvements in projections over time. Here we assess the accuracy of projections of US energy consumption produced by the Energy Information Administration over the period 1982-2000. We find that energy consumption projections have tended to underestimate future consumption. Projections 10-13 years into the future have had an average error of about 4%, and about half that for shorter time horizons. These errors mask much larger, offsetting errors in the projection of GDP and energy intensity (EI). GDP projections have consistently been too high, and EI projection consistently too low, by more than 15% for projections of 10 years or more. Further work on the source of these sizable inaccuracies should be a high priority. Finally, we find no evidence of improvement in projections of consumption, GDP, or EI since 1982

  20. LMDI Decomposition Analysis of Energy Consumption in the Korean Manufacturing Sector

    Directory of Open Access Journals (Sweden)

    Suyi Kim

    2017-02-01

    Full Text Available The energy consumption of Korea’s manufacturing sector has sharply increased over the past 20 years. This paper decomposes the factors influencing energy consumption in this sector using the logarithmic mean Divisia index (LMDI method and analyzes the specific characteristics of energy consumption from 1991 to 2011. The analysis reveals that the activity effect played a major role in increasing energy consumption. While the structure and intensity effects contributed to the reduction in energy consumption, the structure effect was greater than the intensity effect. Over the periods, the effects moved in opposite directions; that is, the structure effect decreased when the intensity effect increased and vice versa. The energy consumption by each industry is decomposed into two factors, activity and intensity effects. The increase of energy consumption due to the activity effect is largest in the petroleum and chemical industry, followed by the primary metal and non-ferrous industry, and the fabricated metal industry. The decrease of energy consumption due to the intensity effect is largest in the fabricated metal industry, followed by the primary metal and non-ferrous industry, and the non-metallic industry. The energy consumption due to intensity effect in the petroleum and chemical industry has risen. To save energy consumption more efficiently for addressing climate change in this sector, industrial restructuring and industry-specific energy saving policies should be introduced.

  1. Practical versus theoretical domestic energy consumption for space heating

    International Nuclear Information System (INIS)

    Audenaert, A.; Briffaerts, K.; Engels, L.

    2011-01-01

    Methods to calculate the theoretical energy consumption consider several things: the number of degree days per year that need to be compensated by heating, the characteristics of the dwelling, the number of occupants and the characteristics of the installation for space heating and sanitary hot water. However, these methods do not take into account consumer behaviour, which may affect the actual consumption. The theoretical calculation methods are based on assumptions and use a number of standardized parameters. The difference between the actual and the theoretical energy consumption, and the impact of the residents' behaviour on energy consumption, is analysed by means of a literature study and a practical research. An energy advice procedure (EAP) audit is executed in five dwellings, as well as a survey regarding the energy related behaviour of the households. The theoretically calculated consumption is compared with the billed actual energy consumption of the families. The results show some problems with the current procedure and give some options to improve it. Some research needs are identified to gain more insights in the influence of different behavioural factors on the actual energy use for heating. - Highlights: → The energy advice procedure (EAP) calculates the energy use for heating in dwellings. → Calculations are compared with the real energy use for 5 dwellings. → A survey on the occupants' behaviour is used to interpret the observed differences. → Default values used in the EAP can be very different from the observed behaviour.

  2. Practical versus theoretical domestic energy consumption for space heating

    Energy Technology Data Exchange (ETDEWEB)

    Audenaert, A., E-mail: amaryllis.audenaert@artesis.be [Department of Applied Engineering: Construction, Artesis University College of Antwerp, Paardenmarkt 92, B-2000 Antwerp (Belgium); Department of Environment, Technology and Technology Management, University of Antwerp, Prinsstraat 13, B-2000 Antwerp (Belgium); Briffaerts, K. [Unit Transition Energy and Environment, VITO NV, Boeretang 200, B-2400 Mol (Belgium); Engels, L. [Department of Applied Engineering: Construction, Artesis University College of Antwerp, Paardenmarkt 92, B-2000 Antwerp (Belgium)

    2011-09-15

    Methods to calculate the theoretical energy consumption consider several things: the number of degree days per year that need to be compensated by heating, the characteristics of the dwelling, the number of occupants and the characteristics of the installation for space heating and sanitary hot water. However, these methods do not take into account consumer behaviour, which may affect the actual consumption. The theoretical calculation methods are based on assumptions and use a number of standardized parameters. The difference between the actual and the theoretical energy consumption, and the impact of the residents' behaviour on energy consumption, is analysed by means of a literature study and a practical research. An energy advice procedure (EAP) audit is executed in five dwellings, as well as a survey regarding the energy related behaviour of the households. The theoretically calculated consumption is compared with the billed actual energy consumption of the families. The results show some problems with the current procedure and give some options to improve it. Some research needs are identified to gain more insights in the influence of different behavioural factors on the actual energy use for heating. - Highlights: > The energy advice procedure (EAP) calculates the energy use for heating in dwellings. > Calculations are compared with the real energy use for 5 dwellings. > A survey on the occupants' behaviour is used to interpret the observed differences. > Default values used in the EAP can be very different from the observed behaviour.

  3. Analysis of electric energy consumption of automatic milking systems in different configurations and operative conditions.

    Science.gov (United States)

    Calcante, Aldo; Tangorra, Francesco M; Oberti, Roberto

    2016-05-01

    Automatic milking systems (AMS) have been a revolutionary innovation in dairy cow farming. Currently, more than 10,000 dairy cow farms worldwide use AMS to milk their cows. Electric consumption is one of the most relevant and uncontrollable operational cost of AMS, ranging between 35 and 40% of their total annual operational costs. The aim of the present study was to measure and analyze the electric energy consumption of 4 AMS with different configurations: single box, central unit featuring a central vacuum system for 1 cow unit and for 2 cow units. The electrical consumption (daily consumption, daily consumption per cow milked, consumption per milking, and consumption per 100L of milk) of each AMS (milking unit + air compressor) was measured using 2 energy analyzers. The measurement period lasted 24h with a sampling frequency of 0.2Hz. The daily total energy consumption (milking unit + air compressor) ranged between 45.4 and 81.3 kWh; the consumption per cow milked ranged between 0.59 and 0.99 kWh; the consumption per milking ranged between 0.21 and 0.33 kWh; and the consumption per 100L of milk ranged between 1.80 to 2.44 kWh according to the different configurations and operational contexts considered. Results showed that AMS electric consumption was mainly conditioned by farm management rather than machine characteristics/architectures. Copyright © 2016 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

  4. Widening the scope? How intermediary actors can shape energy consumption

    DEFF Research Database (Denmark)

    Maneschi, Davide

    2013-01-01

    This paper deals with energy consumption in the residential sector and with the implementation of measures to reduce it. While most research dealing with energy consumption has targeted factors and drivers at the individual user level, more recent works have highlighted collective aspects...... of (energy) consumption, both to explain the resilience of consumption patterns and to identify leverage points for the reduction of energy use. One understudied aspect of this discussion is the way “intermediary” actors – those actors who are neither policy makers, nor users, nor energy providers...... – influence energy consumption. This paper presents a review of the literature on intermediaries, providing an overview of their roles and contextualizing their functions in energy efficiency improvements. The review shows how the concept of intermediaries has been used in research dealing with innovation...

  5. Sustainable chemical processing and energy-carbon dioxide management: review of challenges and opportunities

    DEFF Research Database (Denmark)

    Frauzem, Rebecca; Vooradi, Ramsagar; Bertran, Maria-Ona

    2018-01-01

    This paper presents a brief review of the available energy sources for consumption, their effects in terms of CO2-emission and its management, and sustainable chemical processing where energy-consumption, CO2-emission, as well as economics and environmental impacts are considered. Not all available...... energy sources are being utilized efficiently, while, the energy source causing the largest emission of CO2 is being used in the largest amount. The CO2 management is therefore looking at "curing" the problem rather than "preventing" it. Examples highlighting the synthesis, design and analysis...... of sustainable chemical processing in the utilization of biomass-based energy-chemicals production, carbon-capture and utilization with zero or negative CO2-emission to produce value added chemicals as well as retrofit design of energy intensive chemical processes with significant reduction of energy consumption...

  6. Energy efficiency - The struggle for load management is raging. The French Riviera redoubles savings

    International Nuclear Information System (INIS)

    Moragues, Manuel; Barla, Jean-Christophe

    2014-01-01

    A first article discusses the debate initiated by a decree on load management associated with the French Brottes law on energy. Load management is the possibility for consumers to reduce their consumption at peak hours. Electricity producers and suppliers are of course against, whereas new actors (load managers or aggregators) are for. The issue is then to determine who will pay this managed (and not consumed) energy. The article also evokes a controversy about the Brottes law which creates a bonus to subsidy load management, and comments the development of this load management market and its legal framework. A second article describes actions undertaken by industries of the French Riviera to manage their energy consumption

  7. Modeling GHG emission and energy consumption in selected greenhouses in Iran

    Energy Technology Data Exchange (ETDEWEB)

    Yousefi, M.; Omid, M.; Rafiee, SH.; Khoshnevisan, B. [Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj (Iran, Islamic Republic of)

    2013-07-01

    It is crucial to determine energy efficiency and environmental effects of greenhouse productions. Such study can be a viable solution in probing challenges and existing defects. The aims of this study were to analyze energy consumption and greenhouse gas (GHG) emissions for pepper production using biological method inside greenhouses which used natural gas (NG) heating system in Esfahan province. Data were collected from 22 greenhouse holders using a face to face questionnaire method, in 2010-2011. Also, functional area was selected 1000 m2. Total energy input, total energy output, energy ratio, energy productivity, specific energy, net energy gain and total GHG emissions were calculated as 297799.9 MJ area-1, 3851.84 MJ area-1, 0.013, 0.016 kg MJ-1, 61.85 MJ kg-1, -293948 MJ area-1 and 14390.85 kg CO2 equivalent area-1, respectively. Result revealed that replacing diesel fuel with NG will not be an effective way of reducing energy consumption for greenhouse production. However, it is crucial to focus on energy management in order to enhance the energy and environmental indices. One way to supply adequate input energy and a reduction in GHG emissions is the utilization of renewable and clean energy sources instead of NG and diesel fuel. Also, it is suggested to adopt solar greenhouses in the region and to supply electricity from non-fossil sources seriously.

  8. Final Energy Consumption Trends and Drivers in Czech Republic and Latvia

    OpenAIRE

    Zhiqian Yu; Dalia Streimikiene; Tomas Balezentis; Rimantas Dapkus; Radislav Jovovic; Veselin Draskovic

    2017-01-01

    This paper analyses the trends of final energy consumption in Latvia and Czech Republic. Analysis of final energy consumption during 2000-2013 period indicated the main driving forces of final energy consumption during and after world financial crisis of 2008. The paper aimed to evaluate the impact of economic activity and other factors on final energy consumption. The decomposition of the final energy consumption is assessed by analyzing effect of different drivers by the main end-users sect...

  9. Demographic determinants of energy consumption in the European Union: Econometric analysis results

    Directory of Open Access Journals (Sweden)

    Petrović Predrag

    2017-01-01

    Full Text Available Over the past several decades there has been a strong intensifying trend of human society impact on ecosystems, consumption of natural resources and global change. The environmental impact of the society is fully apparent and dominantly implemented through various greenhouse gases emissions (GHG, leading towards global climate change with considerably spread harmful effects. Global climate change includes the earth and ocean surface and atmospheric warming, but also melting of snow and ice, increase of sea levels and ocean acidity, as well as ever more common natural phenomena extremes (winds, various forms of rainfall/precipitation, extremely low or high temperatures, etc.. Scientists are well-familiarized with the fact that use of fossil fuels, such as oil derivatives and coal, is the main generator of harmful gases. In addition, possible substitutions for fossil fuels in the form of other energy sources are very limited, and it should be remembered that other energy sources also have certain adverse environmental effects. Bearing in mind climate change caused by products of fossil fuels combustion, as well as inevitable depletion of natural crude oil resources, management of growing global energy demand becomes one of the key goals and challenges of 21st century. If these reasons are coupled with obligations emanating from Kyoto Protocol, it is clear that attention of researches should be more than reasonably focused on the main determinants of energy consumption. This study is focused on illumination of key demographic and economic determinants of energy consumption in 28 EU member states in the period 1960- 2014. The results obtained demonstrate that population positively and quite strongly influence total energy consumption. An increase of population of 1% will result in an increase of energy consumption of 1.59% to 1.76%. Such relation most probably can be explained by the fact that demographic growth of the society aggravates and

  10. Specific energy consumption in microwave drying of garlic cloves

    Energy Technology Data Exchange (ETDEWEB)

    Sharma, G.P. [Department of Processing and Food Engineering, College of Technology and Agricultural Engineering, Udaipur 313 001, Rajasthan (India); Prasad, Suresh [Agricultural and Food Engineering Department, Indian Institute of Technology, Kharagpur 721 302 (India)

    2006-09-15

    The convective and microwave-convective drying of garlic cloves was carried out in a laboratory scale microwave dryer, which was developed for this purpose. The specific energy consumption involved in the two drying processes was estimated from the energy supplied to the various components of the dryer during the drying period. The specific energy consumption was computed by dividing the total energy supplied by amount of water removed during the drying process. The specific energy consumption in convective drying of garlic cloves at 70{sup o}C temperature and 1.0m/s air velocity was estimated as 85.45MJ/kg of water evaporated. The increase in air velocity increased the energy consumption. The specific energy consumption at 40W of microwave power output, 70{sup o}C air temperature and 1.0m/s air velocity was 26.32MJ/kg of water removed, resulting in about a 70% energy saving as compared to convective drying processes. The drying time increased with increase in air velocity in microwave-convective drying process; a trend reverse to what was observed in convective drying process of garlic cloves. (author)

  11. THE INFLUENCE OF AN APARTMENT POSITIONING ON ENERGY CONSUMPTION

    Directory of Open Access Journals (Sweden)

    Marcela PRADA

    2013-06-01

    Full Text Available This work is part of the highly topical subject of global warming and energy conservation. The article contains parametric studies of energy consumption and CO² emissions for an apartment located in a block of flats, depending on its location. It was studied the energy consumption of an apartment having different cardinal orientations in the same building and of an apartment with the same position inside the building but located in different climatic zones. The case studies show the difference between the energy consumption of an apartment depending on its position, thus resulting in a few general directions for their heat insulation, so that the specific energy consumption of the apartment is below 100 kWh/m² year.

  12. Real-Time Vehicle Energy Management System Based on Optimized Distribution of Electrical Load Power

    Directory of Open Access Journals (Sweden)

    Yuefei Wang

    2016-10-01

    Full Text Available As a result of severe environmental pressure and stringent government regulations, refined energy management for vehicles has become inevitable. To improve vehicle fuel economy, this paper presents a bus-based energy management system for the electrical system of internal combustion engine vehicles. Both the model of an intelligent alternator and the model of a lead-acid battery are discussed. According to these models, the energy management for a vehicular electrical system is formulated as a global optimal control problem which aims to minimize fuel consumption. Pontryagin’s minimum principle is applied to solve the optimal control problem to realize a real-time control strategy for electrical energy management in vehicles. The control strategy can change the output of the intelligent alternator and the battery with the changes of electrical load and driving conditions in real-time. Experimental results demonstrate that, compared to the traditional open-loop control strategy, the proposed control strategy for vehicle energy management can effectively reduce fuel consumption and the fuel consumption per 100 km is decreased by approximately 1.7%.

  13. URBAN FEATURES AND ENERGY CONSUMPTION AT LOCAL LEVEL

    Directory of Open Access Journals (Sweden)

    Ali Soltani

    2012-12-01

    Full Text Available There has been a growing interest in discovering the human effects on the environment and energy consumption in recent decades. It is estimated that the share of energy consumed in transportation and housing systems are around 20 and 30 percent of total energy consumption respectively. Furthermore, the residential greenhouse emissions depend on urban form and structure. This paper explores the effects of urban features on residential energy consumption at neighborhood level using data collected through household questionnaire (n=140. Two residential districts in metropolitan Shiraz, south of Iran, were selected as case study areas. Different features of two areas were compared including building density, typology, housing location, parcel size, floor area and construction materials. Ordinary linear regression was used to discover the impact of explanatory variables on energy consumption. It was found that some physical variables such as parcel size, setback and number of floors played significant roles in explaining the variances exist in energy use level. The results can be used by governmental agencies to modify land use policies and subdivision rules in hope of saving energy and achieving a sustainable community.

  14. Estimation of Energy Consumption and Greenhouse Gas Emissions considering Aging and Climate Change in Residential Sector

    Science.gov (United States)

    Lee, M.; Park, C.; Park, J. H.; Jung, T. Y.; Lee, D. K.

    2015-12-01

    The impacts of climate change, particularly that of rising temperatures, are being observed across the globe and are expected to further increase. To counter this phenomenon, numerous nations are focusing on the reduction of greenhouse gas (GHG) emissions. Because energy demand management is considered as a key factor in emissions reduction, it is necessary to estimate energy consumption and GHG emissions in relation to climate change. Further, because South Korea is the world's fastest nation to become aged, demographics have also become instrumental in the accurate estimation of energy demands and emissions. Therefore, the purpose of this study is to estimate energy consumption and GHG emissions in the residential sectors of South Korea with regard to climate change and aging to build more accurate strategies for energy demand management and emissions reduction goals. This study, which was stablished with 2010 and 2050 as the base and target years, respectively, was divided into a two-step process. The first step evaluated the effects of aging and climate change on energy demand, and the second estimated future energy use and GHG emissions through projected scenarios. First, aging characteristics and climate change factors were analyzed by using the logarithmic mean divisia index (LMDI) decomposition analysis and the application of historical data. In the analysis of changes in energy use, the effects of activity, structure, and intensity were considered; the degrees of contribution were derived from each effect in addition to their relations to energy demand. Second, two types of scenarios were stablished based on this analysis. The aging scenarios are business as usual and future characteristics scenarios, and were used in combination with Representative Concentration Pathway (RCP) 2.6 and 8.5. Finally, energy consumption and GHG emissions were estimated by using a combination of scenarios. The results of these scenarios show an increase in energy consumption

  15. Danish Sector Guide for Calculation of the Actual Energy Consumption

    DEFF Research Database (Denmark)

    Mortensen, Lone Hedegaard

    2016-01-01

    , the innovation network for sustainable construction, InnoBYG started work on a Danish sector guide for the calculation of actual energy consumption in relation to upgrading of buildings. The focus was to make a common guide for energy calculations that can be used by consultants performing calculations...... consumption compared with the estimated energy demand by calculation. The paper concludes that the result of an energy calculation should not be given as a single figure but rather as a spread between the best and worst case for the assumed conditions. Finally, a brief update on current actions is given...... related to the sector guide for calculation of actual energy consumption. Keywords – Energy calculations, actual energy consumption, energy perfomance...

  16. Simulation of value stream mapping and discrete optimization of energy consumption in modular construction

    Science.gov (United States)

    Chowdhury, Md Mukul

    With the increased practice of modularization and prefabrication, the construction industry gained the benefits of quality management, improved completion time, reduced site disruption and vehicular traffic, and improved overall safety and security. Whereas industrialized construction methods, such as modular and manufactured buildings, have evolved over decades, core techniques used in prefabrication plants vary only slightly from those employed in traditional site-built construction. With a focus on energy and cost efficient modular construction, this research presents the development of a simulation, measurement and optimization system for energy consumption in the manufacturing process of modular construction. The system is based on Lean Six Sigma principles and loosely coupled system operation to identify the non-value adding tasks and possible causes of low energy efficiency. The proposed system will also include visualization functions for demonstration of energy consumption in modular construction. The benefits of implementing this system include a reduction in the energy consumption in production cost, decrease of energy cost in the production of lean-modular construction, and increase profit. In addition, the visualization functions will provide detailed information about energy efficiency and operation flexibility in modular construction. A case study is presented to validate the reliability of the system.

  17. A decision support model for reducing electric energy consumption in elementary school facilities

    International Nuclear Information System (INIS)

    Hong, Taehoon; Koo, Choongwan; Jeong, Kwangbok

    2012-01-01

    Highlights: ► Decision support model is developed to reduce CO 2 emission in elementary schools. ► The model can select the school to be the most effective in energy savings. ► Decision tree improved the prediction accuracy by 1.83–3.88%. ► Using the model, decision-maker can save the electric-energy consumption by 16.58%. ► The model can make the educational-facility improvement program more effective. -- Abstract: The South Korean government has been actively promoting an educational-facility improvement program as part of its energy-saving efforts. This research seeks to develop a decision support model for selecting the facility expected to be effective in generating energy savings and making the facility improvement program more effective. In this research, project characteristics and electric-energy consumption data for the year 2009 were collected from 6282 elementary schools located in seven metropolitan cities in South Korea. In this research, the following were carried out: (i) a group of educational facilities was established based on electric-energy consumption, using a decision tree; (ii) a number of similar projects were retrieved from the same group of facilities, using case-based reasoning; and (iii) the accuracy of prediction was improved, using the combination of genetic algorithms, the artificial neural network, and multiple regression analysis. The results of this research can be useful for the following purposes: (i) preliminary research on the systematic and continuous management of educational facilities’ electric-energy consumption; (ii) basic research on electric-energy consumption prediction based on the project characteristics; and (iii) practical research for selecting an optimum facility that can more effectively apply an educational-facility improvement program as a decision support model.

  18. Online prediction of battery electric vehicle energy consumption

    NARCIS (Netherlands)

    Wang, Jiquan; Besselink, Igo; Nijmeijer, Henk

    2016-01-01

    The energy consumption of battery electric vehicles (BEVs) depends on a number of factors, such as vehicle characteristics, driving behavior, route information, traffic states and weather conditions. The variance of these factors and the correlation among each other make the energy consumption

  19. Rapid prototyping of energy management charging strategies

    Energy Technology Data Exchange (ETDEWEB)

    Ciulavu, Oana [Hella Electronics Romania, Timisoara (Romania); Starkmuth, Timo; Jesolowitz, Reinhard [Hella KGaA Hueck und Co., Lippstadt (Germany)

    2010-07-01

    This paper presents an approach to develop charging strategies to support a vehicle energy management aiming for the reduction of CO{sub 2} emissions and decreased fuel consumption by using the Hardware-in-the-loop (HIL) environment. (orig.)

  20. Assessment of energy consumption and optimisation of usage in the paper industry

    Energy Technology Data Exchange (ETDEWEB)

    Lucas, N J.D.; Murgatroyd, W; Ladomatos, N

    1981-01-01

    The aim of the project is to determine what can be learned from a statistical analysis of data on energy consumption in the paper industry. Existing data were collected and analyzed at three different levels of aggregation: the country, the production site, and the individual machine. For each level, two types of analysis were made: inter-unit comparison, and a temporal comparison within a unit. The work was complemented by three detailed physical balances on paper-making machines, a procedure usually referred to as an energy analysis. Considerable success was achieved in identifying and quantifying the structural influences on energy consumption. In this respect the different analyses illuminate each other. Despite the fact that in some instances either data were not made available or it proved inadequate for good statistical reliability, several firm conclusions can be drawn, conclusions which are significant from the point-of-view of energy management, and several recommendations are made. These are summarized.

  1. Design of intelligent power consumption optimization and visualization management platform for large buildings based on internet of things

    Directory of Open Access Journals (Sweden)

    Gong Shulan

    2017-01-01

    Full Text Available The buildings provide a significant contribution to total energy consumption and CO2 emission. It has been estimated that the development of an intelligent power consumption monitor and control system will result in about 30% savings in energy consumption. This design innovatively integrates the advanced technologies such as the internet of things, the internet, intelligent buildings and intelligent electricity which can offer open, efficient, convenient energy consumption detection platform in demand side and visual management demonstration application platform in power enterprises side. The system was created to maximize the effective and efficient the use of energy resource. It was development around sensor networks and intelligent gateway and the monitoring center software. This will realize the highly integration and comprehensive application in energy and information to meet the needs with intelligent buildings

  2. An overview of energy consumption of the globalized world economy

    International Nuclear Information System (INIS)

    Chen, Z.M.; Chen, G.Q.

    2011-01-01

    For the globalized world economy with intensive international trade, an overview of energy consumption is presented by an embodied energy analysis to track both direct and indirect energy uses based on a systems input-output simulation. In 2004, the total amounts of energy embodied in household consumption, government consumption, and investment are 7749, 874, and 2009 Mtoe (million tons of oil equivalent), respectively. The United States is shown as the world's biggest embodied energy importer (683 Mtoe) and embodied energy surplus receiver (290 Mtoe), in contrast to China as the biggest exporter (662 Mtoe) and deficit receiver (274 Mtoe). Energy embodied in consumption per capita varies from 0.05 (Uganda) to 19.54 toe (Rest of North America). Based on a forecast for 2005-2035, China is to replace the United States as the world's leading embodied energy consumer in 2027, when its per capita energy consumption will be one quarter of that of the United States. - Highlights: → We present an overview of global energy profile in terms of embodied energy. → The US and China are top embodied energy consumers as well as traders in 2004. → Equality issue is studied by analyzing per capita embodied energy consumption. → The US remains to be the leading energy consumer until replaced by China in 2027.

  3. Freescale Semiconductor Successfully Implements an Energy Management System

    Energy Technology Data Exchange (ETDEWEB)

    None

    2011-06-30

    Through the Superior Energy Performance (SEP) plant certification program, Freescale Semiconductor implemented projects at the company's Oak Hill Fab plant that reduced annual energy consumption by 28 million kilowatt hours (kWh) of electricity and 26,000 million British thermal units (Btu) of natural gas between 2006 and 2009, saving more than $2 million each year. The plant is now certified at the SEP silver level, and has a management system in place to proactively manage the facility's energy resources in the future.

  4. Price sensitivity of residential energy consumption in Norway

    International Nuclear Information System (INIS)

    Nesbakken, R.

    1999-01-01

    The main aim of this paper is to test the stability of the results of a model which focus on the relationship between the choice of heating equipment and the residential energy consumption. The results for the income and energy price variables are of special interest. Stability in the time dimension is tested by applying the model on micro data for each of the years 1993-1995. The parameter estimates are stable within a 95% confidence interval. However, the estimated impact of the energy price variable on energy consumption was considerably weaker in 1994 than in 1993 and 1995. The results for two different income groups in the pooled data set are also subject to stability testing. The energy price sensitivity in residential energy consumption is found to be higher for high-income households than for low-income households. 19 refs

  5. Methods for Distributed Optimal Energy Management

    DEFF Research Database (Denmark)

    Brehm, Robert

    The presented research deals with the fundamental underlying methods and concepts of how the growing number of distributed generation units based on renewable energy resources and distributed storage devices can be most efficiently integrated into the existing utility grid. In contrast to convent......The presented research deals with the fundamental underlying methods and concepts of how the growing number of distributed generation units based on renewable energy resources and distributed storage devices can be most efficiently integrated into the existing utility grid. In contrast...... to conventional centralised optimal energy flow management systems, here-in, focus is set on how optimal energy management can be achieved in a decentralised distributed architecture such as a multi-agent system. Distributed optimisation methods are introduced, targeting optimisation of energy flow in virtual......-consumption of renewable energy resources in low voltage grids. It can be shown that this method prevents mutual discharging of batteries and prevents peak loads, a supervisory control instance can dictate the level of autarchy from the utility grid. Further it is shown that the problem of optimal energy flow management...

  6. Energy consumption in commercial buildings: A comparison with BEPS budgets

    Science.gov (United States)

    1980-09-01

    Metered energy consumption data were collected on existing commercial buildings to help establish the proposed building energy performance standards (BEPS). The search has identified 84 buildings whose metered energy consumption is equal to or less than that proposed for their BEPS budgets and another 7 buildings whose metered consumption is less than 20 percent above their BEPS budgets. The methodology used to identify the buildings and to collect their metered energy consumption data are described. The data are analyzed and summarized and conclusions are drawn.

  7. A panel study of nuclear energy consumption and economic growth

    International Nuclear Information System (INIS)

    Apergis, Nicholas; Payne, James E.

    2010-01-01

    This study examines the relationship between nuclear energy consumption and economic growth for sixteen countries within a multivariate panel framework over the period 1980-2005. Pedroni's (1999, 2004) heterogeneous panel cointegration test reveals there is a long-run equilibrium relationship between real GDP, nuclear energy consumption, real gross fixed capital formation, and the labor force with the respective coefficients positive and statistically significant. The results of the panel vector error correction model finds bidirectional causality between nuclear energy consumption and economic growth in the short-run while unidirectional causality from nuclear energy consumption to economic growth in the long-run. Thus, the results provide support for the feedback hypothesis associated with the relationship between nuclear energy consumption and economic growth.

  8. Energy consumption and CO2 emissions in Iran, 2025.

    Science.gov (United States)

    Mirzaei, Maryam; Bekri, Mahmoud

    2017-04-01

    Climate change and global warming as the key human societies' threats are essentially associated with energy consumption and CO 2 emissions. A system dynamic model was developed in this study to model the energy consumption and CO 2 emission trends for Iran over 2000-2025. Energy policy factors are considered in analyzing the impact of different energy consumption factors on environmental quality. The simulation results show that the total energy consumption is predicted to reach 2150 by 2025, while that value in 2010 is 1910, which increased by 4.3% yearly. Accordingly, the total CO 2 emissions in 2025 will reach 985million tonnes, which shows about 5% increase yearly. Furthermore, we constructed policy scenarios based on energy intensity reduction. The analysis show that CO 2 emissions will decrease by 12.14% in 2025 compared to 2010 in the scenario of 5% energy intensity reduction, and 17.8% in the 10% energy intensity reduction scenario. The results obtained in this study provide substantial awareness regarding Irans future energy and CO 2 emission outlines. Copyright © 2017 Elsevier Inc. All rights reserved.

  9. Energy Management Control Systems: Tools for Energy Savings and Environmental Protection

    Science.gov (United States)

    Zsebik, Albin; Zala, Laszlo F.

    2002-01-01

    The change in the price of energy has encouraged the increase of energy efficiency. This report will discuss a tool to promote energy efficiency in intelligent buildings, energy management control systems (EMCS). In addition to the online control of energy production, supply, and consumption, the function of the EMCS is to support short- and long-term planning of the system operation as well as to collect, store, and regularly evaluate operation data. The strategies behind planning and implementing the EMCS as well as the manipulating the resulting data are discussed in this report.

  10. Exploring the relationship between energy consumption and GDP: Evidence from Croatia

    International Nuclear Information System (INIS)

    Borozan, Djula

    2013-01-01

    The main purpose of this paper is to explore the relationship between total energy consumption and real gross domestic product (GDP) covering the period between 1992 and 2010 in Croatia. The methodology employed in this paper is based on the bivariate vector autoregression (VAR) and Granger causality tests. Moreover, the impulse response function and variance decomposition analysis are employed to trace the dynamic response paths of shocks to the system. The empirical analysis shows that, when it is allowed for any deterministic component in the data, total energy consumption and real GDP are not co-integrated in the period observed. Furthermore, there is a unidirectional causality running from total energy consumption to GDP, and an impulse response to GDP caused by energy consumption, being mainly embodied in the first years. The results indicate that total energy consumption is an important component determining economic growth in Croatia and that energy conservation policy should be formulated and implemented wisely. This paper also tests the causality between real GDP and consumption of the five energy variables by using the bivariate VAR. The main implication of these tests is that individual energy forms matter when it comes to energy policy formulation. - Highlights: • There is a unidirectional causality running from energy consumption to real GDP in Croatia. • There is an impulse response to real GDP caused by energy consumption, being mainly embodied in the first years. • Energy consumption is an important component determining economic growth. • Individual energy forms matter when it comes to energy policy formulation

  11. Relation Decomposing between Urbanization and Consumption of Water-Energy Sources

    Science.gov (United States)

    Wang, Y.; Xiao, W.; Wang, Y.; Zhao, Y.; Wang, J., , Dr; Jiang, D.; Wang, H.

    2017-12-01

    Abstract: Water resources and energy, important subsystems of city, are the basic guarantee for the normal operation of city, which play an important role to brace the urbanization. The interdependence between them are increasing along with the rapid development of China's economy. The relationship between urbanization and consumption of energy and water have become the focal point of the scholars, but the research have more attention to the impact of urbanization on two subsystems separately, and do not reveal the effects of urbanization on the water-energy nexus. Thus, there is little consideration upon the different characteristics of China's several regions in water and energy consumption in urbanization. In this paper, the STIRPAT model is built to reveal the relationship between urbanization and the consumption of water and energy. Also, the influence of urbanization on different main body of water and energy consumption are discussed. The different regional main factors of water and energy in the process of urbanization are identified through water and energy panel data of China's thirty provinces. Finally, through the regression analysis of total water consumption data of agriculture, industry, service industry with total energy consumption data, the relationship of water and energy in the process of urban development are analyzed.

  12. Market integration of local energy systems: Is local energy management compatible with European regulation for retail competition?

    NARCIS (Netherlands)

    Eid, C.; Bollinger, L.A.; Koirala, B.P.; Scholten, D.J.; Facchinetti, E.; Lilliestam, J.; Hakvoort, R.A.

    2016-01-01

    The growing penetration of distributed energy resources is opening up opportunities for local energy management (LEM) – the coordination of decentralized energy supply, storage, transport, conversion and consumption within a given geographical area. Because European electricity market liberalization

  13. Analysis of effecting factors on domestic refrigerators’ energy consumption in use

    International Nuclear Information System (INIS)

    Geppert, Jasmin; Stamminger, Rainer

    2013-01-01

    Highlights: • Energy consumption of refrigerators is highly sensitive to operating conditions. • Ambient temperature has the highest impact on energy consumption of refrigerator. • There is a quadratic relationship between ambient temperature and energy use. • Compartment temperature and additional heat load have a lower impact on energy use. • Under moderate conditions, measured energy use closely match Energy Label values. - Abstract: In order to determine the sensitiveness of refrigerators’ energy consumption on various operational factors reflecting real life conditions, four different refrigerators were tested in laboratory using Box–Behnken design with three variables (ambient temperature, thermostat setting position and additional heat load by storing warm food) at three different levels. The investigations show that the energy consumption of refrigerators is highly sensitive to actual operational conditions. Daily energy consumption of one and the same appliance may vary between a few watt-hours and 2000 Wh and even more, dependent on the respective operational factors. Analysis of variance (ANOVA) reveals that ambient temperature is the most influential factor on the energy consumption of a refrigerator. Energy use is also affected, to a minor degree, by internal compartment temperature and additional heat load. Test results are presented and energy consumption data are compared with values shown on the European Energy Label. Results are discussed also with regard to the question as to whether or not the Energy Label and the associated test standard are appropriate to project actual energy consumption in use

  14. Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis

    International Nuclear Information System (INIS)

    Chen, Shaoqing; Chen, Bin

    2015-01-01

    Highlights: • Urban energy consumption was assessed from three different perspectives. • A new concept called controlled energy was developed from network analysis. • Embodied energy and controlled energy consumption of Beijing were compared. • The integration of all three perspectives will elucidate sustainable energy use. - Abstract: Energy consumption has always been a central issue for sustainable urban assessment and planning. Different forms of energy analysis can provide various insights for energy policy making. This paper brought together three approaches for energy consumption accounting, i.e., energy flow analysis (EFA), input–output analysis (IOA) and ecological network analysis (ENA), and compared their different perspectives and the policy implications for urban energy use. Beijing was used to exemplify the different energy analysis processes, and the 42 economic sectors of the city were aggregated into seven components. It was determined that EFA quantifies both the primary and final energy consumption of the urban components by tracking the different types of fuel used by the urban economy. IOA accounts for the embodied energy consumption (direct and indirect) used to produce goods and services in the city, whereas the control analysis of ENA quantifies the specific embodied energy that is regulated by the activities within the city’s boundary. The network control analysis can also be applied to determining which economic sectors drive the energy consumption and to what extent these sectors are dependent on each other for energy. So-called “controlled energy” is a new concept that adds to the analysis of urban energy consumption, indicating the adjustable energy consumed by sectors. The integration of insights from all three accounting perspectives further our understanding of sustainable energy use in cities

  15. Energy consumption and CO{sub 2} emissions in Iran, 2025

    Energy Technology Data Exchange (ETDEWEB)

    Mirzaei, Maryam [Department of Banking and Finance, Multimedia University (Malaysia); Bekri, Mahmoud [Economic and Statistic Institute, Karlsruhe Institute of Technology (Germany)

    2017-04-15

    Climate change and global warming as the key human societies' threats are essentially associated with energy consumption and CO{sub 2} emissions. A system dynamic model was developed in this study to model the energy consumption and CO{sub 2} emission trends for Iran over 2000–2025. Energy policy factors are considered in analyzing the impact of different energy consumption factors on environmental quality. The simulation results show that the total energy consumption is predicted to reach 2150 by 2025, while that value in 2010 is 1910, which increased by 4.3% yearly. Accordingly, the total CO{sub 2} emissions in 2025 will reach 985 million tonnes, which shows about 5% increase yearly. Furthermore, we constructed policy scenarios based on energy intensity reduction. The analysis show that CO{sub 2} emissions will decrease by 12.14% in 2025 compared to 2010 in the scenario of 5% energy intensity reduction, and 17.8% in the 10% energy intensity reduction scenario. The results obtained in this study provide substantial awareness regarding Irans future energy and CO{sub 2} emission outlines. - Highlights: • Creation of an energy consumption model using system dynamics. • The effect of different policies on energy consumption and emission reductions. • An ascending trend for the environmental costs caused by CO{sub 2} emissions is observed. • An urgent need for energy saving and emission reductions in Iran.

  16. Analytical method to evaluate fuel consumption of hybrid electric vehicles at balanced energy content of the electric storage devices

    Energy Technology Data Exchange (ETDEWEB)

    Katrasnik, Tomaz [University of Ljubljana, Faculty of Mechanical Engineering, Askerceva 6, 1000 Ljubljana (Slovenia)

    2010-11-15

    Innovative analytically based method to calculate corrected fuel consumption of parallel and series hybrid electric vehicles (HEVs) at balanced energy content of the electric storage devices is proposed and validated in the paper. The proposed analytical method is generally applicable and features highly accurate corrected fuel consumption results. It enables calculation of the corrected fuel consumption out of a single fuel consumption test run in a single analytic post-processing step. An additional fuel consumption test run might be needed to obtain highly accurate results if ratio of the energy content deviation of the electric storage devices to the energy used for vehicle propulsion over the test cycle is high. Proposed method enables consideration of non-linear energy flow changes and non-linear HEV component efficiency changes caused by the energy management strategy or by the component characteristics. The method therefore features highly accurate results out of the minimum number of fuel consumption test runs and thus optimizes workload for development or optimization of HEVs. The input data of the method are characteristic energy flows and efficiencies that are derived from the energy flows on selected energy paths of HEVs. (author)

  17. On-line energy and battery thermal management for hybrid electric heavy-duty truck

    NARCIS (Netherlands)

    Pham, H.T.; Kessels, J.T.B.A.; Bosch, van den P.P.J.; Huisman, R.G.M.; Nevels, R.M.P.A.

    2013-01-01

    This paper discusses an integrated approach for energy and thermal management to minimize the fuel consumption of a hybrid electric heavy-duty truck. Conventional Energy Management Systems (EMS) operate separately from the Battery Thermal Management System (BTMS) in Hybrid Electric Vehicles (HEVs).

  18. Market integration of local energy systems: Is local energy management compatible with European regulation for retail competition?

    OpenAIRE

    Eid, Cherrelle; Bollinger, L. Andrew; Koirala, Binod; Scholten, Daniel; Facchinetti, Emanuele; Lilliestam, Johan; Hakvoort, Rudi

    2016-01-01

    The growing penetration of distributed energy resources is opening up opportunities for local energy management (LEM) – the coordination of decentralized energy supply, storage, transport, conversion and consumption within a given geographical area. Because European electricity market liberalization concentrates competition at the wholesale level, local energy management at the distribution level is likely to impose new roles and responsibilities on existing and/or new actors. This paper prov...

  19. Harvesting-Aware Energy Management for Environmental Monitoring WSN

    Directory of Open Access Journals (Sweden)

    James Rodway

    2017-05-01

    Full Text Available Wireless sensor networks can be used to collect data in remote locations, especially when energy harvesting is used to extend the lifetime of individual nodes. However, in order to use the collected energy most effectively, its consumption must be managed. In this work, forecasts of diurnal solar energies were made based on measurements of atmospheric pressure. These forecasts were used as part of an adaptive duty cycling scheme for node level energy management. This management was realized with a fuzzy logic controller that has been tuned using differential evolution. Controllers were created using one and two days of energy forecasts, then simulated in software. These controllers outperformed a human-created reference controller by taking more measurements while using less reserve energy during the simulated period. The energy forecasts were comparable to other available methods, while the method of tuning the fuzzy controller improved overall node performance. The combination of the two is a promising method of energy management.

  20. Energy consumption renewable energy development and environmental impact in Algeria - Trend for 2030

    Science.gov (United States)

    Sahnoune, F.; Imessad, K.; Bouakaz, D. M.

    2017-02-01

    The study provides a detailed analysis of the energy production and consumption in Algeria and the associated CO2 emissions. Algeria is an important energy producer (oil and natural gas). The production is currently around 155 MToe. The total primary energy consumption amounted to about 58 MToe equivalent to 1.46 Toe/capita. The energy demand is still increasing, an average annual growth rate of more than 6% per year during the last decade. The growth rate for electricity production was almost twice that of the total energy consumption. In 2015, the installed capacity of the electricity generation plants reached 17.6 GW. Electricity consumption was 64.6 TWh and is expected to reach at least 75 TWh in 2020 and 130 TWh in 2030. The already high electricity demand will double by 2030. In the structure of final energy consumption, the transport sector ranks first (36%), natural gas consumption ranks second (28.5%), followed by electricity production (27.7%). By activity, the energy sector is the main source of CO2 emissions, about ¾ of the total and this sector has the most important potential for mitigation measures. CO2 emissions from this energy sector amounted to 112.2 MT CO2 as follows: 33% transport, 31% electricity production and 26% from natural gas combustion for residential use. The integration of renewable sources in the energy mix represents for Algeria a major challenge. In 2015, Algeria adopted an ambitious program for development of renewable energy. The target is to achieve 22 GW capacity of electricity from renewable by 2030 to reach a rate of 27 % of national electricity generation through renewable sources. By implementing this program, CO2 emissions of power generation will be reduced by more than 18% in 2030.

  1. Understanding energy consumption: Beyond technology and economics

    Energy Technology Data Exchange (ETDEWEB)

    Wilhite, H.; Shove, E.

    1998-07-01

    This paper summarizes two years of efforts among a cross-disciplinary group of senior researchers to bring social and cultural perspectives to modeling of household energy consumption. The work has been organized by the Center for Energy Studies of the University of Geneva. The researchers represent both the physical and social sciences, several institutions and a number of countries. The initiative was based on an acknowledgement of the failure of technical and economic models to explain consumption or more importantly, how consumption patterns change. Technical and economic models most often either ignore social and cultural issues or reduce them to parameters of other variables. An important objective for the Geneva Group has been to engage modelers and social scientists in a dialogue which brings social and cultural context to the fore. The process reveals interesting insights into the frictions of cross-disciplinary interaction and the emergence of new perspectives. Various classical modeling approaches have been discussed and rejected. Gradually, a framework has emerged which says something about the appropriate institutions and actors which contribute to consumption patterns; about how they are related; and finally about how the interinstitutional relationships and the consumption patterns themselves change. A key point of convergence is that a complete understanding of energy end-use will not be possible from an analysis directed at the point of end use alone. The analysis must incorporate what happens inside institutions like manufacturers, retailers, and public policy organizations as well as how those organizations interact with consumers, including media and advertising. Progress towards a better understanding of energy consumption requires a greater engagement of social scientists with these heretofore little explored actors an relationships.

  2. Influences Energy Consumption has on Green GDP Growth in China

    Science.gov (United States)

    Hongxian, Xie

    2018-02-01

    This paper examines the relationship between China’s total energy consumption growth and GGDP growth based on the data of 1997-2016. With path analysis employed, the direct and indirect influence on GGDP growth rate exerted by several energy consumption ratios as well as the relationship among them is explored. Furtherly, the author determines how much each of these ratios contributes to GGDP. This research suggests that proportion of natural gas consumption and that of other energy consumption are the two major drivers of GGDP growth, while coal and oil consumption proportion inhibits GGDP Growth. Specifically, increasing the proportion of natural gas consumption contributes the most to GGDP growth.

  3. Computer usage and national energy consumption: Results from a field-metering study

    Energy Technology Data Exchange (ETDEWEB)

    Desroches, Louis-Benoit [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Fuchs, Heidi [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Greenblatt, Jeffery [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Pratt, Stacy [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Willem, Henry [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Claybaugh, Erin [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Beraki, Bereket [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Nagaraju, Mythri [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Price, Sarah [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division; Young, Scott [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis & Environmental Impacts Dept., Environmental Energy Technologies Division

    2014-12-01

    The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Bay Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated power

  4. Energy consumption of sport halls

    Energy Technology Data Exchange (ETDEWEB)

    1983-01-01

    The energy consumption of Finland's sports halls (ball games halls, ice hockey halls and swimming halls) represent approximately 1% of that of the country's whole building stock. In the light of the facts revealed by the energy study the potential energy saving rate in sports halls is 15-25%. The total savings would be something like FIM 30-40 million per annum, of which about a half would be achieved without energy-economic investments only by changing utilization habits and by automatic control measures. The energy-economic investments are for the most part connected with ventilation and their repayment period is from one to five years. On the basis of the energy study the following specific consumption are presented as target values: swimming halls: heat (kWh/m*H3/a)100, electricity (kWh/m*H3/a)35, water (l/m*H3/a)1000 icehockey halls (warm): heat (kWh/m*H3/a)25, electricity (kWh/m*H3/a)15, water (l/m*H3/a)200, ball games halls (multi-purpose halls): heat (kWh/m*H3/a)30, electricity (kWh/m*H3/a)25, water (l/m*H3/a)130. In the study the following points proved to be the central areas of energy saving in sports halls: 1. Flexible regulation of the temperature in sports spaces on the basis of the sport in question. 2. The ventilation of swimming halls should be adjusted in such a way that the humidity of the hall air would comply with the limit humidity curve determined by the quality of structures and the temperature of the outdoor air. 3. An ice skating hall is an establishment producing condensing energy from 8 to 9 months a year worth of approx. 100.000-150.000 Finnmarks. The development of the recovery of condensing energy has become more important. 4. The ventilation of ball games halls may account for over 50% of the energy consumption of the whole building. Therefore special attention should be paid to the optimatization of ventilation as a whole.

  5. Sustainable energy management - a prerequisite for the realization Kyoto Protocol

    Directory of Open Access Journals (Sweden)

    Mirjana Golušin

    2012-07-01

    Full Text Available Energy management can be defined as the process of planning, directing, implementing and controlling the process of generation, transmission and energy consumption. Energy management is a kind of synthesis of phenomena and concepts of modern energy management (management, or the use of modern settings management in the energy sector. Furthermore, when outlining the basic settings for power management Modern management is based on the assumptions of sustainability and conservation of energy stability for present and future generations. Therefore, modern energy management can be seen as a kind of synthesis of three actuarial sciences: energy, sustainable development and management. Sustainable Energy Management is a unique new concept, idea and approach that require many changes in the traditional way of understanding and interpretation of energy management at all levels. Sustainable energy management concept can not therefore be construed as an adopted and defined the concept, but must be constantly modified and adjusted in accordance with changes in the three areas that define it, and in accordance with the specific country or region where applicable. Accordingly, sustainable energy management can be defined as the process of energy management that is based on fundamental principles of sustainable development.

  6. Occupant behavior and energy consumption in dwellings : An analysis of behavioral models and actual energy consumption in the dutch housing stock

    NARCIS (Netherlands)

    Bedir, M.

    2017-01-01

    Much is known about the increasing levels of energy consumption and environmental decay caused by the built environment. Also, more and more attention is shown to the energy consumption of dwellings, from the early design stage until the occupants start living in them. The increasing complexity of

  7. The potential for quantitative sociological research on residential energy consumption in Denmark

    DEFF Research Database (Denmark)

    Hansen, Anders Rhiger

    2013-01-01

    sociological analysis into energy consumption, enabling researchers in Denmark to use information on energy consumption derived from the energy-supply companies. Furthermore, I present a preliminary research design that employs both a quantitative sociological perspective and the newly available data on actual...... energy consumption. The research design contains a descriptive analysis of how energy demand differs between different types of households. In my conclusion, I claim that quantitative sociological research on energy consumption has great potential for obtaining more knowledge on energy consumption......In this paper, I begin with a description of how a sociological perspective can be employed to understand energy consumption while taking into account that energy consumption is embedded in everyday social practices. Next, I describe how newly available data enhances the potential of quantitative...

  8. Factor Analysis of Residential Energy Consumption at the Provincial Level in China

    Directory of Open Access Journals (Sweden)

    Weibin Lin

    2014-11-01

    Full Text Available This paper analyzes the differences in the amount and the structure of residential energy consumption at the provincial level in China and identifies the hidden factors behind such differences. The econometrical analysis reveals that population, economic development level, energy resource endowment and climatic conditions are the main factors driving residential energy consumption; while the regional differences in energy consumption per capita and the consumption structure can be mainly illustrated by various economic development levels, energy resource endowments and climatic conditions. Economic development level has a significant positive impact on the proportion of gasoline consumption, whereas its impact on the proportion of electricity consumption is not notable; energy resource endowment and climatic condition indirectly affect both the proportion of electricity consumption and that of gasoline consumption, primarily through their impacts on the proportions of coal consumption and heat consumption.

  9. An investigation on energy consumption trend in Japan. Transportation sector

    International Nuclear Information System (INIS)

    Suzuki, Takayoshi

    2005-08-01

    Although energy consumption in the industry sector has almost been stable, energy consumption in the transportation (passenger and freight) sector has increased much after the oil crisis. The increase of energy consumption in the passenger sector can be attributed to the increase in transportation by private passenger vehicles; while the increase in the freight sector was due to the modal shift to trucks. Among transportation methods, automobiles, i.e. passenger vehicles and trucks, are now dominant in terms of energy consumption and also in terms of amount of transportation. Therefore implementing energy conservation measures relating to automobiles is very important in order to suppress the energy consumption in the transportation sector. This report summarizes the results of investigation on energy conservation measures, especially relevant to automobiles. It was found from the investigation that most promising and effective technologies or measures are promoting market penetration of vehicles satisfying ''top runner standard'', development and employment of hybrid vehicles, and introduction of vehicles with ''idling-stop'' systems. (author)

  10. Letting the (energy) Gini out of the bottle: Lorenz curves of cumulative electricity consumption and Gini coefficients as metrics of energy distribution and equity

    International Nuclear Information System (INIS)

    Jacobson, Arne; Milman, Anita D.; Kammen, Daniel M.

    2005-01-01

    Energy services are fundamental determinants of the quality of life as well as the economic vitality of both industrialized and developing nations. Few analytic tools exist, however, to explore changes in individual, household, and national levels of energy consumption and utilization. In order to contribute to such analyses, we extend the application of Lorenz curves to energy consumption. We examined the distribution of residential electricity consumption in five countries: Norway, USA, El Salvador, Thailand, and Kenya. These countries exhibit a dramatic range of energy profiles, with electricity consumption far more evenly distributed across the population in some industrialized nations than others, and with further significant differences in the Lorenz distribution between industrialized and industrializing economies. The metric also provides critical insights into the temporal evolution of energy management in different states and nations. We illustrate this with a preliminary longitudinal study of commercial and industrial electricity use in California during the economically volatile 1990s. Finally, we explore the limits of Lorenz analyses for understanding energy equity through a discussion of the roles that variations in energy conversion efficiency and climate play in shaping distributions of energy consumption. The Lorenz method, which is widely employed by economists to analyze income distribution, is largely unused in energy analysis, but provides a powerful new tool for estimating the distributional dimensions of energy consumption. Its widespread use can make significant contributions to scientific and policy debates about energy equity in the context of climate change mitigation, electric power industry deregulation and restructuring, and the development of national infrastructure

  11. Energy management of a large estate

    Energy Technology Data Exchange (ETDEWEB)

    Oughton, R J

    1986-01-01

    The paper outlines energy management of the Property Services Agency (PSA) estate, which has been pursued since 1972. PSA's current expenditure on energy in buildings is Pound 235M per annum (1983-1984), and while energy management has been in operation the aggregate annual saving achieved across the civil and armed services estate is estimated at 33%. The development of energy management is described; the initial organisation concentrated on the existing estate. An Energy Database was generated for the whole of the civil estate and routine monitoring and targetting of consumption was instituted. Regional Energy Conservation Officers were appointed with responsibilities for energy management of defined areas of the estate and a headquarters group was set up to direct the campaign and determine policy. The funding of all energy efficiency applications depends on a favourable value analysis. The calculations used in establishing investment priorities were based on CIBSE (Chartered Institution of Building Services Engineers) methods. This was quickly followed by the introduction of design techniques to promote energy efficiency in new building work. The use of Design Energy Targets is a prominent feature. Over the period to date an in-house training programme in energy conservation has been established for technical staff involved in building design and operation and for general staff. An expanding range of in-house publications on energy efficiency is also available.

  12. Forecasting model for energy consumption in South Africa correlated with the income

    Energy Technology Data Exchange (ETDEWEB)

    Siti, M.W.; Nicolae, D.V.; Jimoh, A.A. [Tshwane Univ. of Technology, Pretoria (South Africa). Dept. of Electrical Engineers

    2008-07-01

    Demand-side-management (DSM) programs are used to influence customer electricity usage and reduce capital and operating costs for electric utilities. Escalating fuel costs and regulatory pressure are now causing some municipalities to consider demand-side options as alternatives to traditional resource planning. A mathematical model for forecasting energy consumption in South Africa was presented in this paper. The model used data from an energy consumption audit conducted in South Africa, and was correlated to the income of consumers. The model was used to study the impact of society, personality, and fixed contribution indexes on electricity consumption. Results of the modelling study showed that a higher fixed contribution factor indicates a more developed economic infrastructure and higher electrical expenditure. The personality index influences dynamic expenditures that are likely to be improved by electricity awareness programs. The study also showed that small changes in the society index can have a significant impact on electricity consumption. The model can be extrapolated to predict load profiles for particular localities or communities based on household income data. The model can also be used to validate load shaping, profiling, and prediction approaches. 6 refs., 4 tabs., 6 figs.

  13. Circadian rhythm of energy expenditure and oxygen consumption.

    Science.gov (United States)

    Leuck, Marlene; Levandovski, Rosa; Harb, Ana; Quiles, Caroline; Hidalgo, Maria Paz

    2014-02-01

    This study aimed to evaluate the effect of continuous and intermittent methods of enteral nutrition (EN) administration on circadian rhythm. Thirty-four individuals, aged between 52 and 80 years, were fed through a nasoenteric tube. Fifteen individuals received a continuous infusion for 24 hours/d, and 19 received an intermittent infusion in comparable quantities, every 4 hours from 8:00 to 20:00. In each patient, 4 indirect calorimetric measurements were carried out over 24 hours (A: 7:30, B: 10:30, C: 14:30, and D: 21:30) for 3 days. Energy expenditure and oxygen consumption were significantly higher in the intermittent group than in the continuous group (1782 ± 862 vs 1478 ± 817 kcal/24 hours, P = .05; 257 125 vs 212 117 ml/min, P = .048, respectively). The intermittent group had higher levels of energy expenditure and oxygen consumption at all the measured time points compared with the continuous group. energy expenditure and oxygen consumption in both groups were significantly different throughout the day for 3 days. There is circadian rhythm variation of energy expenditure and oxygen consumption with continuous and intermittent infusion for EN. This suggests that only one indirect daily calorimetric measurement is not able to show the patient's true needs. Energy expenditure is higher at night with both food administration methods. Moreover, energy expenditure and oxygen consumption are higher with the intermittent administration method at all times.

  14. In situ evaluation of water and energy consumptions at the end use level: The influence of flow reducers and temperature in baths.

    Science.gov (United States)

    Matos, C; Briga-Sá, A; Bentes, I; Faria, D; Pereira, S

    2017-05-15

    Nowadays, water and energy consumption is intensifying every year in most of the countries. This perpetual increase will not be supportable in the long run, making urgently to manage these resources on a sustainable way. Domestic consumptions of water and electric energy usually are related and it's important to study that relation, identifying opportunities for use efficient improvement. In fact, without an understanding of water-energy relations, there are water efficiency measures that may lead to unintentional costs in the energy efficiency field. In order to take full advantage of combined effect between water and energy water management methodologies, it is necessary to collect data to ensure that the efforts are directed through the most effective paths. This paper presents a study based in the characterization, measurement and analysis of water and electricity consumption in a single family house (2months period) in order to find an interdependent relationship between consumptions at the end user level. The study was carried out on about 200 baths, divided in four different scenarios where the influence of two variables was tested: the flow reducer valve and the bath temperature. Data showed that the presence of flow reducer valve decreased electric energy consumption and water consumption, but increased the bath duration. Setting a lower temperature in water-heater, decreased electric consumption, water consumption and bath duration. Analysing the influence of the flow reducer valve and 60°C temperature simultaneously, it was concluded that it had a significant influence on electric energy consumption and on the baths duration but had no influence on water consumption. Copyright © 2017 The Author(s). Published by Elsevier B.V. All rights reserved.

  15. Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting

    International Nuclear Information System (INIS)

    Ardakani, F.J.; Ardehali, M.M.

    2014-01-01

    Highlights: • Novel effects of DSM data on electricity consumption forecasting is examined. • Optimal ANN models based on IPSO and SFL algorithms are developed. • Addition of DSM data to socio-economic indicators data reduces MAPE by 36%. - Abstract: Worldwide implementation of demand side management (DSM) programs has had positive impacts on electrical energy consumption (EEC) and the examination of their effects on long-term forecasting is warranted. The objective of this study is to investigate the effects of historical DSM data on accuracy of EEC modeling and long-term forecasting. To achieve the objective, optimal artificial neural network (ANN) models based on improved particle swarm optimization (IPSO) and shuffled frog-leaping (SFL) algorithms are developed for EEC forecasting. For long-term EEC modeling and forecasting for the U.S. for 2010–2030, two historical data types used in conjunction with developed models include (i) EEC and (ii) socio-economic indicators, namely, gross domestic product, energy imports, energy exports, and population for 1967–2009 period. Simulation results from IPSO-ANN and SFL-ANN models show that using socio-economic indicators as input data achieves lower mean absolute percentage error (MAPE) for long-term EEC forecasting, as compared with EEC data. Based on IPSO-ANN, it is found that, for the U.S. EEC long-term forecasting, the addition of DSM data to socio-economic indicators data reduces MAPE by 36% and results in the estimated difference of 3592.8 MBOE (5849.9 TW h) in EEC for 2010–2030

  16. Comparing the Life Cycle Energy Consumption, Global Warming and Eutrophication Potentials of Several Water and Waste Service Options

    Science.gov (United States)

    Managing the water-energy-nutrient nexus for the built environment requires, in part, a full system analysis of energy consumption, global warming and eutrophication potentials of municipal water services. As an example, we evaluated the life cycle energy use, greenhouse gas (GHG...

  17. A distributed optimization approach to energy management for a heavy-duty truck

    NARCIS (Netherlands)

    Romijn, Constantijn; Donkers, Tijs; Weiland, Siep; Kessels, John

    2014-01-01

    Energy management systems (EMS) aim at minimizing the vehicle fuel consumption and tailpipe emissions under the wide range of driving conditions. Classical energy management systems for hybrid vehicles control the powersplit between the internal combustion engine (ICE) and the electric motor (EM)

  18. A social capital approach to household energy consumption

    Energy Technology Data Exchange (ETDEWEB)

    McMichael, Megan [School of Construction Management and Engineering, The Univ. of Reading (United Kingdom)

    2007-07-01

    This paper examines the concept of social capital in relation to household energy consumption in an effort to further understand social influences on energy use in the United Kingdom. The considerable focus on building science and technology notwithstanding, it is widely recognised that social factors influence energy use at the household level. Much of the research on changing behaviour has focused on influencing individual actions. Whilst promoting changes in individual behaviour is important, social level analysis provides a broader framework for understanding householder energy use. Social capital broadly refers to the social resources available through networks, social norms and associated levels of trust and reciprocity. The literature of energy, in the form of environmental protection and consumption, is investigated here with regards to social capital to determine the utility of any theoretical and empirical relationship. It is argued that insights from the associations of social and energy consumption can assist energy efficiency practitioners and researchers in understanding the broader social framework that underpins household energy use, but that more robust empirical research is necessary.

  19. Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network

    International Nuclear Information System (INIS)

    Zeng, Yu-Rong; Zeng, Yi; Choi, Beomjin; Wang, Lin

    2017-01-01

    Reliable energy consumption forecasting can provide effective decision-making support for planning development strategies to energy enterprises and for establishing national energy policies. Accordingly, the present study aims to apply a hybrid intelligent approach named ADE–BPNN, the back-propagation neural network (BPNN) model supported by an adaptive differential evolution algorithm, to estimate energy consumption. Most often, energy consumption is influenced by socioeconomic factors. The proposed hybrid model incorporates gross domestic product, population, import, and export data as inputs. An improved differential evolution with adaptive mutation and crossover is utilized to find appropriate global initial connection weights and thresholds to enhance the forecasting performance of the BPNN. A comparative example and two extended examples are utilized to validate the applicability and accuracy of the proposed ADE–BPNN model. Errors of the test data sets indicate that the ADE–BPNN model can effectively predict energy consumption compared with the traditional back-propagation neural network model and other popular existing models. Moreover, mean impact value based analysis is conducted for electrical energy consumption in U.S. and total energy consumption forecasting in China to quantitatively explore the relative importance of each input variable for the improvement of effective energy consumption prediction. - Highlights: • Enhanced back-propagation neural network (ADE-BPNN) for energy consumption forecasting. • ADE-BPNN outperforms the current best models for two comparative cases. • Mean impact value approach explores socio-economic factors' relative importance. • ADE-BPNN's adjusted goodness-of-fit is 99.2% for China's energy consumption forecasting.

  20. Energy and climate protection management, the key to higher energy efficiency in communities; Energie- und Klimaschutzmanagement. Der Schluessel zu mehr Energieeffizienz in Kommunen

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-15

    The brochure explains the dena energy and climate protection management concepts and presents tools for long-term reduction of energy consumption in communities. It presents valuable information for better organization of internal processes in community administrations and for the management of energy efficiency measures. The dena energy and climate protection management concept is developed in cooperation with model communities of different sizes since 2010. All interested communities can use this brochure as a guide for initiating effective climate protection measures.

  1. Energy sources consumption: end uses, efficiency and productivity

    International Nuclear Information System (INIS)

    Martin, J.M.

    2005-01-01

    This document analyzes the impact of the choices made by all actors, from the energy producers to the process and infrastructure designers and the end users, in the evolution of energy consumptions. Some very little improvements made in the energy efficiency of appliances can become equivalent to the production of several oil fields or power plants at the world scale. More efficient energy uses will not replace the additional productions but they must be considered together to be compared. The energy files are first analyzed as a whole in order to show the hidden field of energy choices. In this framework, users, designers and fitters have to face very different choices because they consider efficiency improvements under different aspects: scientifical, technical, economical and social (public information and habits). These differences in efficiency uses have a time and spatial impact on the growth of energy consumption. The economical and social factors influence the collective way to consume energy and are expressed by the energy intensity of the economic activity. The last part of this document analyzes the influence of this notion on the world energy consumption scenarios at the 2050 prospects. (J.S.)

  2. Regional final energy consumptions

    International Nuclear Information System (INIS)

    2011-01-01

    This report comments the differences observed between the French regions and also between these regions and national data in terms of final energy consumption per inhabitant, per GDP unit, and per sector (housing and office building, transport, industry, agriculture). It also comments the evolutions during the last decades, identifies the most recent trends

  3. Present and future energy consumption for passenger transportation in Germany

    Energy Technology Data Exchange (ETDEWEB)

    Kuhne, M.; Wolffram, U.

    1981-01-01

    Passenger transportation in Germany was investigated in order to determine real energy consumption. For typical passengers, energy consumption for overland travel and charter flights was studied. The energy needed for air traffic was compared with that for transportation overland (railway, car, bus), taking into account transportation to the airport or railway station. Transportation makes up about 17% of German primary energy consumption, i.e., road traffic 14%, railway traffic 1.6%, and air traffic 1%. Specific energy consumption (overland travel) of intercity trains, airplanes and cars is in the proportion 1.0 to 3.7 to 4.0 (1980) and is expected to be 1 to 2.4 to 3.1 by the year 2000. For holiday trips, specific energy consumption for bus, train, car and airplane travel is in the proportion 1.0 to 1.4 to 3.6 to 3.4 (1980) and is expected to be 1 to 1.4 to 2.5 to 2.9 by 2000. (ESA)

  4. Energy consumption and economic growth—New evidence from meta analysis

    International Nuclear Information System (INIS)

    Chen, Ping-Yu; Chen, Sheng-Tung; Chen, Chi-Chung

    2012-01-01

    The causal relationships between energy consumption and economic growth have given rise to much discussion but remain controversial. Alternative data sets based on different time spans, countries, energy policies and econometric approaches result in diverse outcomes. A meta analysis using a multinomial logit model with 174 samples governing the relationships between GDP and energy consumption is applied here to investigate the major factors that affect these controversial outcomes. The empirical results have demonstrated how the time spans, subject selections including GDP and energy consumption, econometric models, and tools for greenhouse gases emission reduction characteristics significantly affect these controversial outcomes. - Highlights: ► The controversial casual relationships between energy consumption and GDP are investigated. ► A meta analysis using a multinomial logit model is adopted. ► 74 studies governing the relationships between GDP and energy consumption was collected. ► The empirical results show how the probability of major factors affects such relationships.

  5. The peculiar economics of federal energy management

    International Nuclear Information System (INIS)

    Canes, Michael E.

    2016-01-01

    US federal agency energy managers face different constraints than do comparable private sector managers. They are faced with energy consumption goals mandated via legislation or directed via Presidential Executive Order that encourage if not compel them to invest more in energy efficiency or renewables than would be cost effective from a private sector perspective. To make such investments, they also are provided access to private capital that is additional to their agency budgets. The encouragement to invest beyond what is cost effective may be a source of waste in some instances, and the financing mechanisms appear more expensive than necessary. A rough estimate of the magnitude of the waste is offered, as well as a mechanism to reduce the costs of agency access to capital. - Highlights: •Legislative and regulatory initiatives that constrain federal agency energy investments. •Economic calculus facing a federal agency energy manager. •Magnitude of federal energy investments and of possible waste. •Financing mechanisms and how their costs might be reduced.

  6. Towards Efficient Energy Management: Defining HEMS, AMI and Smart Grid Objectives

    DEFF Research Database (Denmark)

    Rossello Busquet, Ana; Kardaras, Georgios; Soler, José

    2011-01-01

    electricity in the grid will also help to reduce the increase of energy consumption in the future. In order to reduce energy consumption in home environments, researches have been designing Home Energy Management Systems (HEMS). In addition, Advanced Metering Infrastructure (AMI) and smart grids are also...... being developed to distribute and produce electricity efficiently. This paper presents the high level goals and requirements of HEMS. Additionally, it gives an overview of Advanced Metering Infrastructure benefits and smart grids objectives....

  7. Psychological strategies to reduce energy consumption: project summary report

    Energy Technology Data Exchange (ETDEWEB)

    Becker, L J; Seligman, C; Darley, J M

    1979-06-30

    This report reviews the research conducted in connection with a project to apply psychological theory and procedures to the problems of encouraging residential energy conservation. A major part of the project involved surveys of residents' energy-related attitudes. The best (and only consistent) attitudinal predictor of residents' actual energy consumption was their attitude about thermal comfort. A number of other attitudes that could conceivably have been related to consumption, such as attitudes about the reality of the crisis, were not found to be related to consumption. Another major focus of the project was on the effectiveness of feedback (that is, giving residents information about their energy use) as an aid to residents' conservation efforts. A series of experiments demonstrated that frequent, credible energy-consumption feedback, coupled with encouragement to adopt a reasonable but difficult energy-conservation goal, could facilitate conservation. However, these studies also demonstrated that residents could not be given just any kind of information about their energy use as feedback and that even proper feedback would not lead to conservation in all households. Conditions that are crucial for the success of feedback as a conservation aid are discussed. Other studies conducted by the project looked at the effect on energy consumption of (1) a device to reduce air-conditioning waste by signalling when it is cool outside, (2) an automatic multi-setback thermostat, and (3) utility companies' average payment plans. A survey of residents' knowledge of their energy use also was conducted. 23 references.

  8. Low-energy-consumption hybrid lasers for silicon photonics

    DEFF Research Database (Denmark)

    Chung, Il-Sug; Ran, Qijiang; Mørk, Jesper

    2012-01-01

    Physics and characteristics of a hybrid vertical-cavity laser that can be an on-chip Si light source with high speed and low energy consumption are discussed.......Physics and characteristics of a hybrid vertical-cavity laser that can be an on-chip Si light source with high speed and low energy consumption are discussed....

  9. Analysis of energy efficiency and energy consumption costs: a case study for regional wastewater treatment plant in Malaysia

    Directory of Open Access Journals (Sweden)

    Nor Azuana Ramli

    2017-03-01

    Full Text Available The objective of this study is to analyze the possibilities of increasing energy efficiency in the central region wastewater treatment plant by focusing on two aspects: biogas production and prediction of energy production. The analysis is based on one of the biggest central region wastewater treatment plants in Malaysia. After studying the energy efficiency, which consists of optimization of energy consumption and enhancing gas generation, the prediction of power consumption is performed using an autoregressive integrated moving average (ARIMA model. The prediction results are compared with the linear regression method. Comparison shows that even though the total cost of savings is greater by using linear regression, the prediction through ARIMA is more accurate and has smaller root mean square error. The implementation of these two aspects managed to increase energy efficiency by 10% of energy recovery that could further reduce electricity cost and reduction of sludge cake disposal off site. The study recommends other aspects, such as modification in setting up the frequency of variable speed drive for aerators and blowers and optimizing number of feeds into train unit processes within aeration tanks in increasing energy efficiency.

  10. On the relationship between GDP and energy consumption

    International Nuclear Information System (INIS)

    Sudarsono, B.

    1978-01-01

    The validity of a coupling between the growth in GDP and the growth in energy consumption is reviewed and its importance is discussed. The usefulness of a GDP energy consumption relationship for energy projections is investigated with particular reference to the case of Indonesia. A particular form of such a relationship is obtained for Indonesia with income elasticity decreasing as a function of time and its use is compared with other results. (author)

  11. Modelling electric trains energy consumption using Neural Networks

    Energy Technology Data Exchange (ETDEWEB)

    Martinez Fernandez, P.; Garcia Roman, C.; Insa Franco, R.

    2016-07-01

    Nowadays there is an evident concern regarding the efficiency and sustainability of the transport sector due to both the threat of climate change and the current financial crisis. This concern explains the growth of railways over the last years as they present an inherent efficiency compared to other transport means. However, in order to further expand their role, it is necessary to optimise their energy consumption so as to increase their competitiveness. Improving railways energy efficiency requires both reliable data and modelling tools that will allow the study of different variables and alternatives. With this need in mind, this paper presents the development of consumption models based on neural networks that calculate the energy consumption of electric trains. These networks have been trained based on an extensive set of consumption data measured in line 1 of the Valencia Metro Network. Once trained, the neural networks provide a reliable estimation of the vehicles consumption along a specific route when fed with input data such as train speed, acceleration or track longitudinal slope. These networks represent a useful modelling tool that may allow a deeper study of railway lines in terms of energy expenditure with the objective of reducing the costs and environmental impact associated to railways. (Author)

  12. Modeling temporal variations in global residential energy consumption and pollutant emissions

    International Nuclear Information System (INIS)

    Chen, Han; Huang, Ye; Shen, Huizhong; Chen, Yilin; Ru, Muye; Chen, Yuanchen; Lin, Nan; Su, Shu; Zhuo, Shaojie; Zhong, Qirui; Wang, Xilong; Liu, Junfeng; Li, Bengang; Tao, Shu

    2016-01-01

    Highlights: • Space-for-time substitution was tested for seasonality of residential energy. • Regression models were developed to simulate global residential energy consumption. • Factors affecting the temporal trend in residential energy use were identified. • Climate warming will induce changes in residential energy use and emissions. - Abstract: Energy data are often reported on an annual basis. To address the climate and health impacts of greenhouse gases and air pollutants, seasonally resolved emissions inventories are needed. The seasonality of energy consumption is most affected by consumption in the residential sector. In this study, a set of regression models were developed based on temperature-related variables and a series of socioeconomic parameters to quantify global electricity and fuel consumption for the residential sector. The models were evaluated against observations and applied to simulate monthly changes in residential energy consumption and the resultant emissions of air pollutants. Changes in energy consumption are strongly affected by economic prosperity and population growth. Climate change, electricity prices, and urbanization also affect energy use. Climate warming will cause a net increase in electricity consumption and a decrease in fuel consumption by the residential sector. Consequently, emissions of CO_2, SO_2, and Hg are predicted to decrease, while emissions of incomplete combustion products are expected to increase. These changes vary regionally.

  13. Energy management system based on standard 50001 in the company Feed Cienfuegos

    International Nuclear Information System (INIS)

    Monteagudo Yanes, José P.; Crespo Sánchez, Gustavo; Montesino Pérez, Milagros; Cruz Virosa, Ibis; Cabrera Sánchez, Jorge Luis

    2017-01-01

    The energy management in manufacturing of balanced feed requires the Company Feed Cienfuegos to have systems and processes that enable efficiency and quality in production, improve energy performance and increase their competitiveness. Technology of Total Efficient Energy Management (TTEEM) and Cuban Standard ISO 50001 that are promoted and researched by the Center for Studies of Energy and Environment (CEEMA), of the University of Cienfuegos and the necessity and possibility of this Company to improve energy management allowed undertaking this project. Getting and use of energy performance indicator against production and the energy base line for daily control of energy consumption allowed decreasing from 12.8 kWh/t on average, to values below 10 kWh/t for the same production levels (500t/day). This result represents the reduction of energy consumption in the order of 364,000 kWh/year and consequently 15% of the energy item costs. This result is equivalent in cost of generation to 120 tons of oil/year, which at current oil prices mean a savings of $ 6,000 USD/year. (author)

  14. ENERGY EFFICIENCY AS A CRITERION IN THE VEHICLE FLEET MANAGEMENT PROCESS

    Directory of Open Access Journals (Sweden)

    Davor Vujanović

    2010-01-01

    Full Text Available Transport represents an industry sector with intense energy consumption, the road transport sector within is the dominant subsector. The objective of the research presented in this paper is in defining the activities which applied within road freight transport companies contribute to enhancing vehicles' energy efficiency. Vehicle fleet operation management process effects on fuel consumption decrease have been looked into. Operation parameters that influence vehicle fuel consumption were analysed. In this sense, a survey has been realised in order to evaluate the vehicle load factor impact on the specific fuel consumption. Measures for enhancing vehicle's logistics efficiency have been defined. As a tool for those measures' implementation an algorithm for vehicle fleet operation management was developed which represented a basis for a dedicated software package development for vehicle dispatching process decision support. A set of measures has been recommended and their effects in fuel savings were evaluated.

  15. Energy Awareness Displays - Prototype for personalised energy consumption feedback

    NARCIS (Netherlands)

    Börner, Dirk; Storm, Jeroen; Kalz, Marco; Specht, Marcus

    2012-01-01

    Börner, D., Storm, J., Kalz, M., & Specht, M. (2012). Energy Awareness Displays - Prototype for personalised energy consumption feedback. In A. Ravencroft, S. Lindstaedt, C. D. Kloos, & D. Hernández-Leo (Eds.), 21st Century Learning for 21st Century Skills - 7th European Conference on Technology

  16. Analysis of energy consumption at the Rzeszów Wastewater Treatment Plant

    Directory of Open Access Journals (Sweden)

    Masłoń Adam

    2017-01-01

    Full Text Available Wastewater treatment plants can be classified as energy-intensive facilities, as they account for up to 35 percent of municipal energy consumption. Pumps and aeration systems consume a significant portion of energy within the wastewater plants in particular. The cost of energy consumption for wastewater treatment processes reaches up to 40% of the total operating cost. In case of the WWTPs with the activated sludge systems, about 50% of energy is used for aeration and mixing purposes. At WWTPs, energy consumption is often correlated with the magnitude and type of pollutant load, which can influence the treatment methods and technologies used in the WWTP. In many cases wastewater treatment plants are operated without optimized measures for process optimization. A detailed study of the energy consumption should be executed in order to determine the optimization potential. This paper presents the energy consumption in municipal wastewater treatment plant in Rzeszów (Poland. In the year 2016, parameters of raw and treated wastewater were tested. The data related to energy consumption in plants allowed us to determine the energy intensity coefficients. Total consumption was measured. Indicators of energy consumption per cubic meter and removed load were calculated.

  17. Analysis of Home Energy Consumption by K-Mean

    Directory of Open Access Journals (Sweden)

    Fahad Razaque

    2017-10-01

    Full Text Available The smart meter offered exceptional chances to well comprehend energy consumption manners in which quantity of data being generated. One request was the separation of energy load-profiles into clusters of related conduct. The Research measured the resemblance between groups them together and load-profiles into clusters by k-means clustering algorithm. The cluster met, also called “Gender (Male/Female, House (Rented/Owned and customers status (Satisfied/Unsatisfied” display methods of consuming energy. It provided value information aimed at utilities to generate specific electricity charges and healthier aim energy efficiency programs. The results show that 43% extremely dissatisfied of energy customer is achieved by using energy consumption.

  18. Design of energy management indicator.

    Directory of Open Access Journals (Sweden)

    Ernesto Tomás Dalmau García

    2010-10-01

    Full Text Available This work has as a main goal to demostrate the viability of the energy management indicator, that will be a part of the Balanced Scorecard in the organization and the own process of calculation allows to obtain a Balanced Scorecard of energy management. It describes the executive order of the actions that have to be done to reach to the mentioned indicator, based on the selection of the selected period of time; the types of power carriers, the weight of each carrier in the structure of the consumption and the activities where they are used. With these elements several tools are used to reach to the expected results, as the bar charts, comparative tables and indices of power intensity. The indices of energy intensity are recommended as comparative elements for the contribution to the operativity and information level, meaning that not always is necessary to tie them , if not, in some cases, may be other selected indicators that may result as qualitatives type, The Cuban enterprise system uses the model Control of Consumption and Catchment Demand of fuels and lubricants (CDA 002 of the Ministry of Economy and Planning (MEP that is used in the work and it is recommended for the organizations who apply it. The study and application of this method were made in the Company of Raw materials Recovery in an experimental form.

  19. Tables of energies consumption in France

    International Nuclear Information System (INIS)

    1999-08-01

    This short paper presents the evolution of the energy consumption by sector (industry, domestic, tertiary industry, transports, agriculture and all sectors together), since 1973. It gives an abstract of a more complete book: tableaux des consommations d'energie en France; edition 1999. (A.L.B.)

  20. Influence of Occupants’ Behaviour on the Energy Consumption of Domestic Buildings

    DEFF Research Database (Denmark)

    Brohus, Henrik; Heiselberg, Per; Simonsen, A.

    2010-01-01

    The present work undertakes a theoretical and empirical study of the influence of occupants’ behaviour on energy consumption of domestic buildings. The calculated energy consumption of a number of almost identical domestic buildings in Denmark is compared with the measured energy consumption...

  1. Multi-year consumption analysis and innovative energy perspectives: The case study of Leonardo da Vinci International Airport of Rome

    International Nuclear Information System (INIS)

    Rubeis, Tullio de; Nardi, Iole; Paoletti, Domenica; Di Leonardo, Antonella; Ambrosini, Dario; Poli, Ruggero; Sfarra, Stefano

    2016-01-01

    Highlights: • A systematic approach for energy management of complex structures is proposed. • Technological systems of Leonardo da Vinci Airport of Rome are described. • A multi-year consumption analysis highlights the most energy-consuming sectors. • The “Smart Grid” prototype project inherent to T1 Terminal is presented. • Wind and photovoltaic plants are designed and discussed to test the smart storage. - Abstract: Because of the growing need for efficient energy production systems, energy policies promoted in recent years have also involved complex structures, like airports. This paper proposes the implementation of an energy management system for a very energy-consuming structure, composed of different power plants and many energy consumers: the Leonardo da Vinci International Airport of Rome. In this study, the examination of historical data related to airport electric power, thermal energy and fuel consumption is discussed, starting with the analysis of the production energy plants, mainly based on a combined heat and power system. Furthermore, pioneering solutions are proposed, not only to cover airport energy requirements, but also to test the safety and reliability of innovative load management systems. For this reason, the choice of the Leonardo da Vinci management company, oriented to install a smart storage in order to manage the bidirectional energy flows by consumers and producers, is justified. Such innovative energy procurement systems are examined, with the goal of achieving greater penetration of renewable sources: mini and micro wind power plants and high concentrator photovoltaic plants.

  2. Energy consumption and information transmission in model neurons

    International Nuclear Information System (INIS)

    Torrealdea, Francisco J.; Sarasola, Cecilia; D'Anjou, Alicia

    2009-01-01

    This work deals with the problem of whether biological computation optimizes energy use in the way neurons communicate. By assigning an electrical energy function to a Hindmarsh-Rose neuron we are able to find its average energy consumption when it reacts to incoming signals sent by another neuron coupled to it by an electrical synapse. We find that there are values of the coupling strength at which the ratio of mutual information to energy consumption is maximum and, therefore, communicating at these coupling values would be energetically the most efficient option.

  3. Energy consumption and information transmission in model neurons

    Energy Technology Data Exchange (ETDEWEB)

    Torrealdea, Francisco J. [Department of Computer Science, University of the Basque Country, 20018 San Sebastian (Spain)], E-mail: francisco.torrealdea@ehu.es; Sarasola, Cecilia [Department of Physics of Materials, University of the Basque Country, 20018 San Sebastian (Spain); D' Anjou, Alicia [Department of Computer Science, University of the Basque Country, 20018 San Sebastian (Spain)

    2009-04-15

    This work deals with the problem of whether biological computation optimizes energy use in the way neurons communicate. By assigning an electrical energy function to a Hindmarsh-Rose neuron we are able to find its average energy consumption when it reacts to incoming signals sent by another neuron coupled to it by an electrical synapse. We find that there are values of the coupling strength at which the ratio of mutual information to energy consumption is maximum and, therefore, communicating at these coupling values would be energetically the most efficient option.

  4. Energy consumption-based accounts: A comparison of results using different energy extension vectors

    OpenAIRE

    Owen, A; Brockway, P; Brand-Correa, L; Bunse, L; Sakai, M; Barrett, J

    2017-01-01

    Increasing attention has been focussed on the use of consumption-based approaches to energy accounting via input-output (IO) methods. Of particular interest is the examination of energy supply chains, given the associated risks from supply-chain issues, including availability shocks, taxes on fossil fuels and fluctuating energy prices. Using a multiregional IO (MRIO) database to calculate energy consumption-based accounts (CBA) allows analysts to both determine the quantity and source of ener...

  5. Energy consumption and quality of man's life. Chapter 1

    International Nuclear Information System (INIS)

    1998-01-01

    In Chapter 1 a dependence of public life quality showings from energy consumption value is proved. Priority of fuel-energetic complex development is grounded as well. Specific features of Kazakhstan power engineering during its integration into world economics are given. Problems of liberalization of power engineering economy are illustrated. Dependences between assessments of human potential and energy consumption level in the world and Kazakhstan are given in tabular form. In Kazakhstan under relatively stable education level index an energy consumption reduction was resulted to gross national product decrease on via capita

  6. Energy consumption quota of public buildings based on statistical analysis

    International Nuclear Information System (INIS)

    Zhao Jing; Xin Yajuan; Tong Dingding

    2012-01-01

    The establishment of building energy consumption quota as a comprehensive indicator used to evaluate the actual energy consumption level is an important measure for promoting the development of building energy efficiency. This paper focused on the determination method of the quota, and firstly introduced the procedure of establishing energy consumption quota of public buildings including four important parts: collecting data, classifying and calculating EUIs, standardizing EUIs, determining the measure method of central tendency. The paper also illustrated the standardization process of EUI by actual calculation based on the samples of 10 commercial buildings and 19 hotel buildings. According to the analysis of the frequency distribution of standardized EUIs of sample buildings and combining the characteristics of each measure method of central tendency, comprehensive application of mode and percentage rank is selected to be the best method for determining the energy consumption quota of public buildings. Finally the paper gave some policy proposals on energy consumption quota to help achieve the goal of further energy conservation. - Highlights: ► We introduce the procedure of determining energy consumption quota (ECQ). ► We illustrate the standardization process of EUI by actual calculation of samples. ► Measures of central tendency are brought into determine the ECQ. ► Comprehensive application of mode and percentage rank is the best method for ECQ. ► Punitive or incentive measures for ECQ are proposed.

  7. Peak energy consumption and CO2 emissions in China

    International Nuclear Information System (INIS)

    Yuan, Jiahai; Xu, Yan; Hu, Zheng; Zhao, Changhong; Xiong, Minpeng; Guo, Jingsheng

    2014-01-01

    China is in the processes of rapid industrialization and urbanization. Based on the Kaya identity, this paper proposes an analytical framework for various energy scenarios that explicitly simulates China's economic development, with a prospective consideration on the impacts of urbanization and income distribution. With the framework, China's 2050 energy consumption and associated CO 2 reduction scenarios are constructed. Main findings are: (1) energy consumption will peak at 5200–5400 million tons coal equivalent (Mtce) in 2035–2040; (2) CO 2 emissions will peak at 9200–9400 million tons (Mt) in 2030–2035, whilst it can be potentially reduced by 200–300 Mt; (3) China's per capita energy consumption and per capita CO 2 emission are projected to peak at 4 tce and 6.8 t respectively in 2020–2030, soon after China steps into the high income group. - Highlights: • A framework for modeling China's energy and CO 2 emissions is proposed. • Scenarios are constructed based on various assumptions on the driving forces. • Energy consumption will peak in 2035–2040 at 5200–5400 Mtce. • CO 2 emissions will peak in 2030–2035 at about 9300 Mt and be cut by 300 Mt in a cleaner energy path. • Energy consumption and CO 2 emissions per capita will peak soon after China steps into the high income group

  8. China's energy consumption under the global economic crisis: Decomposition and sectoral analysis

    International Nuclear Information System (INIS)

    Li, Fangyi; Song, Zhouying; Liu, Weidong

    2014-01-01

    It is now widely recognized that there is a strong relationship between energy consumption and economic growth. Most countries′ energy demands declined during the economic depression of 2008–2009 when a worldwide economic crisis occurred. As an export-oriented economy, China suffered a serious exports decline in the course of the crisis. However, it was found that energy consumption continued to increase. Against such a background, this paper aims to assess and explain the factors causing the growth of energy consumption in China. First, we will explain the impact of domestic final use and international trade on energy consumption by using decomposition analysis. Second, embodied energy and its variation across sectors are quantified to identify the key sectors contributing to the growth. Lastly, the policy implications for long-term energy conservation are discussed. The results show that the decline in exports was one of the driving forces for energy consumption reduction in the crisis, but that the growth of domestic demand in manufacturing and construction, largely stimulated by economic stimulus plans, had the opposite effect on energy consumption. International trade contributed to decreasing energy consumption of China during and after the crisis because the structure of exports and imports changed in this period. - Highlights: • We analyze the reasons for China's energy consumption change under the global economic crisis during 2007–2010. • Domestic final use growth, especially in construction and manufacturing of machinery and equipment, resulted in energy consumption increase. • International trade is identified as a driver of energy consumption reduction during and after the crisis. • Increasing China's share of consumption or reducing its share of investment in the GDP can reduce national energy intensity

  9. Energy consumption program: A computer model simulating energy loads in buildings

    Science.gov (United States)

    Stoller, F. W.; Lansing, F. L.; Chai, V. W.; Higgins, S.

    1978-01-01

    The JPL energy consumption computer program developed as a useful tool in the on-going building modification studies in the DSN energy conservation project is described. The program simulates building heating and cooling loads and computes thermal and electric energy consumption and cost. The accuracy of computations are not sacrificed, however, since the results lie within + or - 10 percent margin compared to those read from energy meters. The program is carefully structured to reduce both user's time and running cost by asking minimum information from the user and reducing many internal time-consuming computational loops. Many unique features were added to handle two-level electronics control rooms not found in any other program.

  10. Nuclear energy consumption, oil consumption and economic growth in G-6 countries: Bootstrap panel causality test

    International Nuclear Information System (INIS)

    Chu, Hsiao-Ping; Chang Tsangyao

    2012-01-01

    This study applies bootstrap panel Granger causality to test whether energy consumption promotes economic growth using data from G-6 countries over the period of 1971–2010. Both nuclear and oil consumption data are used in this study. Regarding the nuclear consumption-economic growth nexus, nuclear consumption causes economic growth in Japan, the UK, and the US; economic growth causes nuclear consumption in the US; nuclear consumption and economic growth show no causal relation in Canada, France and Germany. Regarding oil consumption-economic growth nexus, we find that there is one-way causality from economic growth to oil consumption only in the US, and that oil consumption does not Granger cause economic growth in G-6 countries except Germany and Japan. Our results have important policy implications for the G-6 countries within the context of economic development. - Highlights: ► Bootstrap panel Granger causality test whether energy consumption promotes economic growth. ► Data from G-6 countries for both nuclear and oil consumption data are used. ► Results have important policy implications within the context of economic development.

  11. Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

    International Nuclear Information System (INIS)

    Faria, Pedro; Vale, Zita; Baptista, Jose

    2015-01-01

    Highlights: • Consumption reduction and/or shift to several periods before and after. • Optimization problem for scheduling of demand response and distributed generation. • Minimization of the Virtual Power Player operation (remuneration) costs. • Demand response can be efficient to meet distributed generation shortages. • Consumers benefit with the remuneration of the participation in demand response. - Abstract: Demand response concept has been gaining increasing importance while the success of several recent implementations makes this resource benefits unquestionable. This happens in a power systems operation environment that also considers an intensive use of distributed generation. However, more adequate approaches and models are needed in order to address the small size consumers and producers aggregation, while taking into account these resources goals. The present paper focuses on the demand response programs and distributed generation resources management by a Virtual Power Player that optimally aims to minimize its operation costs taking the consumption shifting constraints into account. The impact of the consumption shifting in the distributed generation resources schedule is also considered. The methodology is applied to three scenarios based on 218 consumers and 4 types of distributed generation, in a time frame of 96 periods

  12. Modelling energy consumption in a manufacturing plant using productivity KPIs

    Energy Technology Data Exchange (ETDEWEB)

    Gallachoir, Brian O.; Cahill, Caiman (Sustainable Energy Research Group, Dept. of Civil and Environmental Engineering, Univ. College Cork (Ireland))

    2009-07-01

    Energy efficiency initiatives in industrial plants are often focused on getting energy-consuming utilities and devices to operate more efficiently, or on conserving energy. While such device-oriented energy efficiency measures can achieve considerable savings, greater energy efficiency improvement may be achieved by improving the overall productivity and quality of manufacturing processes. The paper highlights the observed relationship between productivity and energy efficiency using aggregated data on unit consumption and production index data for Irish industry. Past studies have developed simple top-down models of final energy consumption in manufacturing plants using energy consumption and production output figures, but these models do not help identify opportunities for energy savings that could achieved through increased productivity. This paper proposes an improved and innovative method of modelling plant final energy demand that introduces standard productivity Key Performance Indicators (KPIs) into the model. The model demonstrates the relationship between energy consumption and productivity, and uses standard productivity metrics to identify the areas of manufacturing activity that offer the most potential for improved energy efficiency. The model provides a means of comparing the effect of device-oriented energy efficiency measures with the potential for improved energy efficiency through increased productivity.

  13. An Improved Optimization Function for Maximizing User Comfort with Minimum Energy Consumption in Smart Homes

    Directory of Open Access Journals (Sweden)

    Israr Ullah

    2017-11-01

    Full Text Available In the smart home environment, efficient energy management is a challenging task. Solutions are needed to achieve a high occupant comfort level with minimum energy consumption. User comfort is measured in terms of three fundamental parameters: (a thermal comfort, (b visual comfort and (c air quality. Temperature, illumination and CO 2 sensors are used to collect indoor contextual information. In this paper, we have proposed an improved optimization function to achieve maximum user comfort in the building environment with minimum energy consumption. A comprehensive formulation is done for energy optimization with detailed analysis. The Kalman filter algorithm is used to remove noise in sensor readings by predicting actual parameter values. For optimization, we have used genetic algorithm (GA and particle swarm optimization (PSO algorithms and performed comparative analysis with a baseline scheme on real data collected for a one-month duration in our lab’s indoor environment. Experimental results show that the proposed optimization function has achieved a 27 . 32 % and a 31 . 42 % reduction in energy consumption with PSO and GA, respectively. The user comfort index was also improved by 10 % i.e., from 0 . 86 to 0 . 96 . GA-based optimization results were better than PSO, as it has achieved almost the same user comfort with 4 . 19 % reduced energy consumption. Results show that the proposed optimization function gives better results than the baseline scheme in terms of user comfort and the amount of consumed energy. The proposed system can help with collecting the data about user preferences and energy consumption for long-term analysis and better decision making in the future for efficient resource utilization and overall profit maximization.

  14. Predicting Energy Consumption for Potential Effective Use in Hybrid Vehicle Powertrain Management Using Driver Prediction

    Science.gov (United States)

    Magnuson, Brian

    A proof-of-concept software-in-the-loop study is performed to assess the accuracy of predicted net and charge-gaining energy consumption for potential effective use in optimizing powertrain management of hybrid vehicles. With promising results of improving fuel efficiency of a thermostatic control strategy for a series, plug-ing, hybrid-electric vehicle by 8.24%, the route and speed prediction machine learning algorithms are redesigned and implemented for real- world testing in a stand-alone C++ code-base to ingest map data, learn and predict driver habits, and store driver data for fast startup and shutdown of the controller or computer used to execute the compiled algorithm. Speed prediction is performed using a multi-layer, multi-input, multi- output neural network using feed-forward prediction and gradient descent through back- propagation training. Route prediction utilizes a Hidden Markov Model with a recurrent forward algorithm for prediction and multi-dimensional hash maps to store state and state distribution constraining associations between atomic road segments and end destinations. Predicted energy is calculated using the predicted time-series speed and elevation profile over the predicted route and the road-load equation. Testing of the code-base is performed over a known road network spanning 24x35 blocks on the south hill of Spokane, Washington. A large set of training routes are traversed once to add randomness to the route prediction algorithm, and a subset of the training routes, testing routes, are traversed to assess the accuracy of the net and charge-gaining predicted energy consumption. Each test route is traveled a random number of times with varying speed conditions from traffic and pedestrians to add randomness to speed prediction. Prediction data is stored and analyzed in a post process Matlab script. The aggregated results and analysis of all traversals of all test routes reflect the performance of the Driver Prediction algorithm. The

  15. Commercial and institutional consumption of energy survey : summary report 2005

    Energy Technology Data Exchange (ETDEWEB)

    Fecteau, V.; Hulan, I.; McNabb, D. [Natural Resources Canada, Ottawa, ON (Canada). Office of Energy Efficiency

    2007-06-15

    A survey was conducted on the energy consumption of Canada's commercial and institutional sectors. The primary purpose was to improve the understanding of various aspects of energy consumption in these sector and to enable Natural Resources Canada to develop programs to support institutions that seek to achieve greater energy efficiency and reduce their greenhouse gas emissions. Energy intensity data was presented by energy source and region amongst the following commercial and institutional sectors: retail trade including food and non-food; education including colleges and universities; health care including non-hospital health care and hospitals; and, accommodation and food services. Data obtained on each establishment's energy consumption and floor area were used to calculate their energy intensity ratio. In 2005, the commercial and institutional establishments consumed 1.04 billion gigajoules, nearly double the annual consumption of all private households in Ontario. The total energy intensity was 1.54 GJ per square metre. The lowest energy rating was found in social assistance establishments, while the highest energy rating was in food services and drinking places, followed by hospitals. Quebec and the Atlantic provinces had the lowest energy intensity levels, while the Prairie provinces had the highest energy intensity rate. The survey included data on the age of establishments; the energy sources used for space heating cooling and water heating; establishment spending on energy consumption; and, the use of auxiliary equipment. refs., tabs., figs.

  16. Power-based electric vehicle energy consumption model: Model development and validation

    International Nuclear Information System (INIS)

    Fiori, Chiara; Ahn, Kyoungho; Rakha, Hesham A.

    2016-01-01

    Highlights: • The study developed an instantaneous energy consumption model (VT-CPEM) for EVs. • The model captures instantaneous braking energy regeneration. • The model can be used for transportation modeling and vehicle applications (e.g. eco-routing). • The proposed model can be easily calibrated using publically available EV data. • Usages of air conditioning and heating systems reduce EV energy consumption by up to 10% and 24%, respectively. - Abstract: The limited drive range (The maximum distance that an EV can travel.) of Electric Vehicles (EVs) is one of the major challenges that EV manufacturers are attempting to overcome. To this end, a simple, accurate, and efficient energy consumption model is needed to develop real-time eco-driving and eco-routing systems that can enhance the energy efficiency of EVs and thus extend their travel range. Although numerous publications have focused on the modeling of EV energy consumption levels, these studies are limited to measuring energy consumption of an EV’s control algorithm, macro-project evaluations, or simplified well-to-wheels analyses. Consequently, this paper addresses this need by developing a simple EV energy model that computes an EV’s instantaneous energy consumption using second-by-second vehicle speed, acceleration and roadway grade data as input variables. In doing so, the model estimates the instantaneous braking energy regeneration. The proposed model can be easily implemented in the following applications: in-vehicle, Smartphone eco-driving, eco-routing and transportation simulation software to quantify the network-wide energy consumption levels for a fleet of EVs. One of the main advantages of EVs is their ability to recover energy while braking using a regenerative braking system. State-of-the-art vehicle energy consumption models consider an average constant regenerative braking energy efficiency or regenerative braking factors that are mainly dependent on the vehicle’s average

  17. The impact of state energy programs and other contextual factors on U.S. buildings energy consumption

    Science.gov (United States)

    Ofori-Boadu, Andrea N. Y. A.

    High energy consumption in the United States has been influenced by populations, climates, income and other contextual factors. In the past decades, U.S. energy policies have pursued energy efficiency as a national strategy for reducing U.S. environmental degradation and dependence on foreign oils. The quest for improved energy efficiency has led to the development of energy efficient technologies and programs. The implementation of energy programs in the complex U.S. socio-technical environment is believed to promote the diffusion of energy efficiency technologies. However, opponents doubt the fact that these programs have the capacity to significantly reduce U.S. energy consumption. In order to contribute to the ongoing discussion, this quantitative study investigated the relationships existing among electricity consumption/ intensity, energy programs and contextual factors in the U.S. buildings sector. Specifically, this study sought to identify the significant predictors of electricity consumption and intensity, as well as estimate the overall impact of selected energy programs on electricity consumption and intensity. Using state-level secondary data for 51 U.S. states from 2006 to 2009, seven random effects panel data regression models confirmed the existence of significant relationships among some energy programs, contextual factors, and electricity consumption/intensity. The most significant predictors of improved electricity efficiency included the price of electricity, public benefits funds program, building energy codes program, financial and informational incentives program and the Leadership in Energy and Environmental Design (LEED) program. Consistently, the Southern region of the U.S. was associated with high electricity consumption and intensity; while the U.S. commercial sector was the greater benefactor from energy programs. On the average, energy programs were responsible for approximately 7% of the variation observed in electricity consumption

  18. China's rural energy system and management

    International Nuclear Information System (INIS)

    Catania, Peter

    1999-01-01

    The issues related to rural energy development and the corresponding escalating economic activities have given rise to a complex, interrelationship among societal, economics, energy, environment and rural policies. With 7% of the world's farm land to produce food for 23% of the world's population, combined with the increasing energy demands for modernised farming has resulted in a dynamic rural energy policy for China. This paper discusses the characteristics of a rural society, outlines the relationship for rural energy supply and demand management, and discusses the interrelationship between energy and the environment utilisation. An illustration of the diffusion of biomass as a success story highlights some of the policies related to self-building, self-managing and self-using. Also discussed in this paper are the results of the integrated rural energy-policy, that is, the social benefits to farmers and the decrease of energy consumption per unit of output. Emerging nations must undertake a comprehensive analysis and synthesis of their respective rural energy developments and the corresponding interrelationships between technology, economics and the environment. (Author)

  19. Study on energy consumption of adapters and battery chargers

    International Nuclear Information System (INIS)

    Zijlstra, J.K.; Couvee, J.D.J.

    2001-04-01

    Under the authority of the Dutch Energy Agency 'Novem' industrial design and engineering office NewProducts has performed an inventory study on the energy consumption of adapters and battery chargers. Besides the energy aspects, various aspects of the adapters and chargers have been discussed: The products are classified in categories based on type of the appliance and function of the adapter; The proportions of the Dutch market of adapters and chargers and the players on this market are discussed in brief; The relevant technical background, especially with respect to the energy consumption is discussed. In general there are two types of adapters, linear and switch mode; Product specifications collected from several manufacturers are presented; To fill up the lack of data some measurements have been made of which the results are presented. Together with the product specifications this gives an overview of the performances of adapters and chargers; During the study several ideas and new developments have been found for reducing energy consumption. A remarkable conclusion is that there is no or not much attention from manufacturers or consumers for energy consumption of adapters or no-load power consumption, although there are some initiatives for reduction, e.g. the Code of Conduct on Efficiency of External Power Supplies of the European Union. Lots of linear adapters are still sold and in use, although the efficiency of the switch mode adapters is a lot better. The problem is the higher price. The switch mode adapters are being sold together with sophisticated electronic appliances. Most of the other initiatives and solutions to reduce the no-load energy consumption and improve the efficiency are also technical

  20. Diversity in OECD energy consumption: Achievements and long-term goals

    International Nuclear Information System (INIS)

    Heal, D.W.

    1990-01-01

    Energy consumption in the industrialized world has resumed a rising trend but has been moderated by increased energy efficiency. The demand for energy is also being spread more evenly over a variety of fuels. This paper provides a measure for diversity and examines the implications for energy prices, while reiterating the long-term goal of lower energy consumption

  1. Energy consumption of mobile communication systems; Energieverbrauch der mobilen Kommunikation - Schlussbericht

    Energy Technology Data Exchange (ETDEWEB)

    Corliano, A.; Hufschmid, M.

    2008-02-15

    This final report for the Swiss Federal Office of Energy (SFOE) reports on a research project that was concerned with the energy consumption of the infrastructure necessary to provide mobile communication services. The measurement and analysis of the energy consumption of the infrastructure was an essential part of this research project. Furthermore, future scenarios and their impact on energy consumption are discussed. The results of the research work are presented and the correlation between power requirements and the data traffic encountered at GSM and UMTS base stations is analysed. Furthermore, measurements that were conducted to determine the power consumption of different network elements are discussed. Finally, alternatives for further action and recommendations for improvements in the energy consumption of such installations are formulated.

  2. The energy consumption in the ceramic tile industry in Brazil

    International Nuclear Information System (INIS)

    Ciacco, Eduardo F.S.; Rocha, Jose R.; Coutinho, Aparecido R.

    2017-01-01

    The ceramic industry occupies a prominent place in the Brazilian industrial context, representing about 1.0% in the GDP composition. On the other hand, it represent about 1.9% of all energy consumed in the country, and 5.8% of the energy consumed in the Brazilian industrial sector in 2014. Regarding the power consumption by the ceramic industry, most is derived from renewable sources (firewood), followed by use of fossil fuels, mainly natural gas (NG). This study was conducted to quantify the energy consumption in the production of ceramic tiles (CT), by means of experimental data obtained directly in the industry and at every step of the manufacturing process. The step of firing and sintering has the highest energy consumption, with approximately 56% of the total energy consumed. In sequence, have the atomization steps with 30% and the drying with 14%, of total energy consumption in the production of ceramic tiles, arising from the use of NG. In addition, it showed that the production of ceramic tiles by wet process has energy consumption four times the dry production process, due to the atomization step.

  3. Energy in Ghana: The dominance of transport in petroleum consumption

    International Nuclear Information System (INIS)

    Abeasi, K.

    1991-01-01

    The sustained provision of energy has long been recognized as one of the essential prerequisites for a country's socio-economic development. Until recently, a country's aggregate energy consumption was equated with its relative economic and developmental well-being, represented by the close correlation between gross domestic product (GDP) and per capita consumption of commercial energy. Although events of recent years, principally the swinging increases in petroleum prices and measures taken to improve the efficiency of energy use, have loosened the parallel equation of GDP with energy consumption, yet the position of energy as the bedrock of a country's development remains unshaken. 4 refs, 1 fig., 4 tabs

  4. The Factors Influencing Transport Energy Consumption in Urban Areas: a Review

    Directory of Open Access Journals (Sweden)

    Rocco Papa

    2014-05-01

    Full Text Available Transport energy consumption accounts for about one third of total energy consumption in EU. Despite significant advances in transport technology and fuel formulation, transport energy consumption has increased in most EU countries over the last three decades. This increase in consumption occurred as a result of factors such as higher car ownership, a growth in automobile use and an increase in vehicle distances traveled. As travel and land-use are a function of one another, it is often hypothesized that changing urban structure can result in changes in energy consumption. Understanding how different land use characteristics may influence travel behaviour and the corresponding energy consumption is crucial for planners and policy makers in order to develop strategic actions to shrink the environmental footprint of the urban transportation sector. The aim of this article is to review the current literature on the connections between land use, travel behavior and energy consumption. In particular, this paper seeks to identify the determinants of transport energy consumption in urban areas by reviewing evidence from empirical studies. To this aim, nine characteristics of land use are presented and their effects on both travel behaviour and energy use are discussed Our review shown that, in contrast to the focus on the effect of the built environment on travel, only few researchers have empirically investigated the linkage between the built environment and transportation energy use. The research described in this paper has been developed within the PON04a2_E Smart Energy Master project. It represents part of a much broader research project aimed at the development of an integrated model of urban energy efficiency.

  5. An Energy Management Service for the Smart Office

    Directory of Open Access Journals (Sweden)

    Cristina Rottondi

    2015-10-01

    Full Text Available The evolution of the electricity grid towards the smart grid paradigm is fostering the integration of distributed renewable energy sources in smart buildings: a combination of local power generation, battery storage and controllable loads can greatly increase the energetic self-sufficiency of a smart building, enabling it to maximize the self-consumption of photovoltaic electricity and to participate in the energy market, thus taking advantage of time-variable tariffs to achieve economic savings. This paper proposes an energy management infrastructure specifically tailored for a smart office building, which relies on measured data and on forecasting algorithms to predict the future patterns of both local energy generation and power loads. The performance is compared to the optimal energy usage scheduling, which would be obtained assuming the exact knowledge of the future energy production and consumption trends, showing gaps below 10% with respect to the optimum.

  6. Dealing with Demand in Electric Grids with an Adaptive Consumption Management Platform

    Directory of Open Access Journals (Sweden)

    Diego M. Jiménez-Bravo

    2018-01-01

    Full Text Available The control of consumption in homes and workplaces is an increasingly important aspect if we consider the growing popularity of smart cities, the increasing use of renewable energies, and the policies of the European Union on using energy in an efficient and clean way. These factors make it necessary to have a system that is capable of predicting what devices are connected to an electrical network. For demand management, the system must also be able to control the power supply to these devices. To this end, we propose the use of a multiagent system that includes agents with advanced reasoning and learning capacities. More specifically, the agents incorporate a case-based reasoning system and machine learning techniques. Besides, the multiagent system includes agents that are specialized in the management of the data acquired and the electrical devices. The aim is to adjust the consumption of electricity in networks to the electrical demand, and this will be done by acting automatically on the detected devices. The proposed system provides promising results; it is capable of predicting what devices are connected to the power grid at a high success rate. The accuracy of the system makes it possible to act according to the device preferences established in the system. This allows for adjusting the consumption to the current demand situation, without the risk of important home appliances being switched off.

  7. Factors affecting wood energy consumption by U.S. households

    Science.gov (United States)

    Nianfu Song; Francisco X. Aguilar; Stephen R. Shifley; Michael E. Goerndt

    2012-01-01

    About 23% of energy derived from woody sources in the U.S. was consumed by households, of which 70% was used by households in rural areas in 2005. We investigated factors affecting household-level wood energy consumption in the four continental U.S. regions using data from the U.S. Residential Energy Consumption Survey. To account for a large number of zero...

  8. World energy consumption 1800-2000: definitions and measurements, information sources, results

    International Nuclear Information System (INIS)

    Martin-Amouroux, Jean-Marie

    2015-10-01

    A first article discusses definitions and measurements used to assess world energy consumption, notably the differences between primary, secondary, final and useful levels. The author identifies the different sources of primary energies (endo-somatic and exo-somatic), the various measurement units, and the spatial organisation of consumption statistics (national data bases, regional consolidations). The second article comments the available sources of information and their history (existing long chronological series at the world scale before and after World War 2), presents the evolution of world energy consumption according to Palmer Putnam, indicates and comments national studies on energy consumption for very long periods (USA, UK, France, and other countries). Then the author discusses the assessment of non commercial consumptions. He mentions and comments studies performed in the USA, in France, in Italy and in other countries, and also some assessments of biomass consumption. He finally discusses the availability of statistics on the evolution of world population. The third article presents and comments results obtained for the evolution of world consumption (world consumption per source of primary energy, per region) for the evolution of energy consumption in Africa, in Northern America, in Latin America, in Asia, in Russia and Eastern Europe and in Western Europe since 1800. Tables give these evolutions for coal, oil, natural gas, electricity, and biomass

  9. Telecommunications energy and greenhouse gas emissions management for future network growth

    International Nuclear Information System (INIS)

    Chan, Chien Aun; Gygax, André F.; Leckie, Christopher; Wong, Elaine; Nirmalathas, Ampalavanapillai; Hinton, Kerry

    2016-01-01

    Highlights: • Model to evaluate key interdependencies of a fast growing telecommunications network. • Network growth analysis using real data and Monte Carlo simulation. • Importance of both operational and embodied energy efficiency improvements. • Embodied energy expected to dominate in the future under current energy efficiency trends. • Carbon footprint and energy management through optimum network replacement cycle. - Abstract: A key aspect of greener network deployment is how to achieve sustainable growth of a telecommunications network, both in terms of operational and embodied energy. Hence, in this paper we investigate how the overall energy consumption and greenhouse gas emissions of a fast growing telecommunications network can be minimized. Due to the complexities in modeling the embodied energy of networks, this aspect of energy consumption has received limited attention by network operators. Here, we present the first model to evaluate the interdependencies of the four main contributing factors in managing the sustainable growth of a telecommunications network: (i) the network’s operational energy consumption; (ii) the embodied energy of network equipment; (iii) network traffic growth; and (iv) the expected energy efficiency improvements in both the operational and embodied phases. Using Monte Carlo techniques with real network data, our results demonstrate that under the current trends in overall energy efficiency improvements the network embodied energy will account for over 40% of the total network energy in 2025 compared to 20% in 2015. Further, we find that the optimum equipment replacement cycle, which will result in the lowest total network life cycle energy, is directly dependent on the technological progress in energy efficiency improvements of both operational and embodied phases. Our model and analysis highlight the need for a comprehensive approach to better understand the interactions between network growth, technological

  10. Optimal modeling and forecasting of the energy consumption and production in China

    International Nuclear Information System (INIS)

    Xiong, Ping-ping; Dang, Yao-guo; Yao, Tian-xiang; Wang, Zheng-xin

    2014-01-01

    Energy is of fundamental importance to a nation's economy. Accurate prediction of the energy consumption and production in China can play a guiding role in making the energy consumption plan, and facilitate timely and effective decision making of energy policy. This article proposes a novel GM (gray model) (1,1) model based on optimizing initial condition according to the principle of new information priority. The optimized model and five other GM (1,1) models are applied in the modeling of China's energy consumption and production. Both the simulation and prediction accuracy of the models are compared and analyzed. We obtain the result that the optimized model has higher prediction accuracy than the other five models. Therefore, the presented optimized model is further utilized to predict China's energy consumption and production from 2013 to 2017. The result indicates that China's energy consumption and production will keep increasing and the gap between the energy production and consumption will also be increasing. Finally, we predict Iran's and Argentina's energy consumption to further prove the effectiveness of the proposed model. - Highlights: • We proposed a novel GM (1,1) model based on optimizing initial condition. • The prediction accuracy of the proposed model is better than the other models. • We used the proposed model to predict China's energy consumption and production. • The proposed model can be used to predict other countries' energy consumption

  11. Comparison and Evolution of Energy Consumption in Moroccan Agro-food Industries

    Science.gov (United States)

    El Badaoui, Meryem; Touzani, Abdellatif

    2017-06-01

    The aim of this article is to establish a comparison between the Moroccan energy consumption and the BREF the reference document on best available techniques in the food industries, then an evolution of this consumption by 2030 in order to better understand it and to define strategies to reduce energy bill. According to a survey conducted among 5000 Moroccan companies, we were able to compare the energy consumption of the agro-food industries including sugar industry, dairy industry, cereal industry; fatty substances industry and fishing industry with that of the BREF. Also an evolution of Moroccan consumption was established by 2030 using the linear regression method, and then calculated a non-negligible average annual growth rate (AAGR). The results show that the Moroccan energy consumption is adequate to that of the BREF, and an energy consumption constantly increasing by registering a non-negligible AAGR.

  12. A cognitive decision agent architecture for optimal energy management of microgrids

    International Nuclear Information System (INIS)

    Velik, Rosemarie; Nicolay, Pascal

    2014-01-01

    Highlights: • We propose an optimization approach for energy management in microgrids. • The optimizer emulates processes involved in human decision making. • Optimization objectives are energy self-consumption and financial gain maximization. • We gain improved optimization results in significantly reduced computation time. - Abstract: Via the integration of renewable energy and storage technologies, buildings have started to change from passive (electricity) consumers to active prosumer microgrids. Along with this development come a shift from centralized to distributed production and consumption models as well as discussions about the introduction of variable demand–supply-driven grid electricity prices. Together with upcoming ICT and automation technologies, these developments open space to a wide range of novel energy management and energy trading possibilities to optimally use available energy resources. However, what is considered as an optimal energy management and trading strategy heavily depends on the individual objectives and needs of a microgrid operator. Accordingly, elaborating the most suitable strategy for each particular system configuration and operator need can become quite a complex and time-consuming task, which can massively benefit from computational support. In this article, we introduce a bio-inspired cognitive decision agent architecture for optimized, goal-specific energy management in (interconnected) microgrids, which are additionally connected to the main electricity grid. For evaluating the performance of the architecture, a number of test cases are specified targeting objectives like local photovoltaic energy consumption maximization and financial gain maximization. Obtained outcomes are compared against a modified simulating annealing optimization approach in terms of objective achievement and computational effort. Results demonstrate that the cognitive decision agent architecture yields improved optimization results in

  13. The world energy demand in 2005: confirmed increase in energy consumptions, despite soaring crude oil prices

    International Nuclear Information System (INIS)

    Chateau, Bertrand

    2006-01-01

    The world energy demand growth remains strong: 2004 experienced the highest growth since 19987, and brent prices had moderate impact in 2005: Very strong rise of energy consumptions despite high oil prices, Economic situation still favorable, Evolutions principally due to China. 2005 world energy consumption: 11,4 Gtoe: Asia accounts for 35% of the world energy consumption, China's weight (15%) continues to increase by one point every year (+5 points since 2000). Asia increases its pressure on the world energy growth in 2005: China accounts for almost half of the world energy consumption increase in 2005, the whole Asia accounts for 70%; The European consumption growth represents less than 5% of China's Growth; The American energy consumption decreases for the first time. 2005 world consumption by energy: With an increasing market share by 0,7 points, coal penetration increases; The oil market has lost 0,4 point, with an accelerating relative decrease; The relative weight of gas remains stable, with 21%. Energy efficiency and energy intensity of GDP: Slow-down of the world energy intensity decrease since 2001, whereas the economic growth is faster, due to changes in trends in China (increase in the recent years). Increase less sharp in China in 2005 (price effect). Energy intensity trends of GDP: Fast decrease in CIS since the recovery of the economic growth; Slow-down of the decrease in EU since 2000 and recovery in 2005 whereas the decrease has accelerated in the USA. Since 2000, the energy consumption increases less rapidly than the GDP almost everywhere, except for the Middle East. Projections until 2020: China and India could represent one third of the world energy growth, the whole of Asia more than 50%; Growth prospects for energy demand are low in the EU and CIS; America would account for 20% of the world energy growth (8% USA); In the rest of the world, high growth in Africa and in the Middle East. Gas could cover more than 40% of the world energy

  14. Energy Management in Industrial Plants

    Directory of Open Access Journals (Sweden)

    Dario Bruneo

    2012-09-01

    Full Text Available The Smart Grid vision imposes a new approach towards energy supply that is more affordable, reliable and sustainable. The core of this new vision is the use of advanced technology to monitor power system dynamics in real time and identify system in stability. In order to implement strategic vision for energy management, it is possible to identify three main areas of investigation such as smart generation, smart grid and smart customer. Focusing on the latter topic, in this paper we present an application specifically designed to monitor an industrial site with particular attention to power consumption. This solution is a real time analysis tool, able to produce useful results to have a strategic approach in the energy market and to provide statistic analysis useful for the future choices of the industrial company. The application is based on a three layers architecture. The technological layer uses a Wireless Sensor Network (WSN to acquire data from the electrical substations. The middleware layer faces the integration problems by processing the raw data. The application layer manages the data acquired from the sensors. This WSN based architecture represents an interesting example of a low cost and non-invasive monitoring application to keep the energy consumption of an industrial site under control. Some of the added value features of the proposed solution are the routing network protocol, selected in order to have an high availability of the WSN, and the use of the WhereX middleware, able to easily implement integration among the different architectural parts.

  15. Modeling the relationship between energy consumption and economy development in China

    International Nuclear Information System (INIS)

    Zhang, Jing; Deng, Shihuai; Shen, Fei; Yang, Xinyao; Liu, Guodong; Guo, Hang; Li, Yuanwei; Hong, Xiao; Zhang, Yanzong; Peng, Hong; Zhang, Xiaohong; Li, Li; Wang, Yingjun

    2011-01-01

    This paper investigated the empirical relationship between economy development and energy consumption by material production, nonmaterial production and household. Empirical models accounting for the key influential factors were constructed. Ordinary Least Square Regression (OLS) analysis of the official data of China for the year 1985-2007 permitted the relationship between individual energy consumption components and the corresponding coefficients to be investigated. The results showed that (1) the Unit Energy Consumption by Primary Industry (UECPI), Secondary Industry (UECSI), and Tertiary Industry (UECTI) demonstrated an inverse relationship with Gross Domestic Product (GDP); (2) a linear relationship exists between the Energy Consumption by Nonmaterial Production (ECNP) and GDP; (3) the hypotheses that there is an inverse S-shaped relationship between Unit Energy Consumption by Household (UECH) and Personal Income (PI) is valid. Based on the above findings and an analysis of China's energy policies, suggestions on China's energy policy were given in the end. -- Highlights: → Decomposed total energy consumption in three parts, branch of material produces, branch of the immaterial production, and households. → Energy consumed by branch of material produces considered the economic scale and construction. → Energy consumed by immaterial production was first referred in this article. → The relationship between energy consumed by household and GDP fits the invert-S curve, which is first referred too.

  16. A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes.

    Science.gov (United States)

    Vaquerizo-Hdez, Daniel; Muñoz, Pablo; R-Moreno, María D; F Barrero, David

    2017-09-22

    Wireless Sensor Networks (WSNs) are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN). Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer) and an external microcontroller (Cortex M0+) in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA.

  17. A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes

    Directory of Open Access Journals (Sweden)

    Daniel Vaquerizo-Hdez

    2017-09-01

    Full Text Available Wireless Sensor Networks (WSNs are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN. Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer and an external microcontroller (Cortex M0+ in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA.

  18. Energy consumption, energy efficiency, and consumer perceptions: A case study for the Southeast United States

    International Nuclear Information System (INIS)

    Craig, Christopher A.

    2016-01-01

    Highlights: • Interaction between climate, efficiency, and electricity consumption were examined. • 2450 state residents were surveyed about clean energy and subsidy policies. • Indirect energy efficiency costs negatively influenced electricity consumption. • Cooling degree days were positively related to electricity consumption. • Resident awareness influenced policy perceptions about clean energy and subsidies. - Abstract: This study examined the interaction between climatic variability and residential electricity consumption in a Southeast US state. Residential electricity consumers were surveyed to better understand how to diffuse positive attitudes and behaviors related to energy efficiency (EE) into households. The study found that 16.8% of the variability in residential electricity consumption for heating applications was explained by indirect EE costs. 36.6% of the variability in residential electricity consumption for cooling applications was explained by indirect EE costs and cooling degree days (CDD). A survey of 2450 residential electricity consumers was analyzed using the theory of planned behavior (TPB). Significant findings suggest that those residents are aware of utility EE programs are more likely to participate, view utility company motives more favorably, to support governmental subsidies for EE programs, and to support the use of clean energy by utility companies.

  19. Representing in-home and out-of-home energy consumption behavior in Beijing

    International Nuclear Information System (INIS)

    Yu Biying; Zhang Junyi; Fujiwara, Akimasa

    2011-01-01

    It is expected that in-home and out-of-home energy consumption behavior in a household might be correlated with each other, probably due to the existence of household budget constraints. Ownership and usage of energy-saving technologies for in-home appliances (or vehicles) might lead to the increase in out-of-home (or in-home) energy consumption. It is therefore necessary to jointly represent in-home and out-of-home energy consumption in the same modeling framework. With this consideration, we first build a new type of energy consumption model based on the Multiple Discrete-Continuous Extreme Value (MDCEV) modeling framework. Next, we conducted a questionnaire survey in Beijing in 2009 and successfully collected the information about households' energy consumption, ownership/usage of in-home appliances and vehicles, and households' and their members' attributes from 1014 households. Throughout an empirical analysis, it is confirmed that the MDCEV model is effective to simultaneously describe the in-home and out-of-home energy consumption behavior. In addition, it is revealed that a set of household and personal attributes affect the ownership and usage of in-home appliances and vehicles. Furthermore, it is shown that the unobserved factors play a much more important role in explaining energy consumption behavior than the observed attributes of households and their members. - Highlights: → Representing in-home and out-of-home energy consumption behavior jointly. → MDCEV model is built to describe household energy consumption behavior. → Log-linear competitive relationships are found among expenditures of end-uses. → Model results provide some insights about the influence of varied observed factors. → Unobserved factors are more important in explaining energy consumption behavior.

  20. 2014 Navajo Nation Energy and Water Consumption

    Energy Technology Data Exchange (ETDEWEB)

    Singer, Suzanne L. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Woods, Sam [Navajo Transitional Energy Company, Farmington, NM (United States)

    2017-03-31

    The Navajo Nation is the home of the largest land-based Indian reservation in the U.S., covering more than twenty-seven thousand square miles. The land in the southwestern U.S. holds an abundance of natural resources, which are intimately integrated in the history, economy, and growth of the Navajo tribe. This report aims to wholly visualize the Navajo Nation’s resources and energy and water consumption using quantitative data and systems engineering analysis. The energy and water flow chart visualizations provide structured information for tribal leaders, policymakers, and educators around energy and water system discussions, technology development opportunities, and policy decisions. The analysis of both energy and water is a first step to visualizing the interconnectedness and complexities of the energy-water-food nexus of the nation. The goal of this energy analysis was to first estimate coal resource consumption because of the considerable impact coal has on the Navajo economy, recently as much as $26 million per year in coal royalties.

  1. Simulation Tool For Energy Consumption and Production

    DEFF Research Database (Denmark)

    Nysteen, Michael; Mynderup, Henrik; Poulsen, Bjarne

    2013-01-01

    In order to promote adoption of smart grid with the general public it is necessary to be able to visualize the benefits of a smart home. Software tools that model the effects can help significantly with this. However, only little work has been done in the area of simulating and visualizing...... the energy consumption in smart homes. This paper presents a prototype simulation tool that allows graphical modeling of a home. Based on the modeled homes the user is able to simulate the energy consumptions and compare scenarios. The simulations are based on dynamic weather and energy price data as well...... as well as appliances and other electrical components used in the modeled homes....

  2. The analysis of energy consumption and greenhouse gas emissions of a large-scale commercial building in Shanghai, China

    Directory of Open Access Journals (Sweden)

    Xin Wang

    2016-02-01

    Full Text Available Reasonable test, diagnosis, and analysis are meaningful for building energy efficiency retrofit and management. Energy consumption and greenhouse gas emission of a large-scale commercial building are described in this article. Basic information about energy consumption equipment is included in the investigation. Further diagnoses about the operational state of air-conditioning water systems, and ducted systems were implemented. Energy consumption decreased 200 kWh/m2 per year from 2007 to 2009 after energy-saving reconstruction in 2006. Next, a carbon audit was carried out; this comprised CO2 emission statistics associated with the energy use and categorization and structural analysis (categorization refers to energy categorization and structural analysis means the composition and its proportion relationship of all kinds of primary energy and secondary energy in energy production or consumption. Greenhouse gas emissions could be less than 150 kg/m2 per year from 2007 to 2009. An analysis of the correlation between CO2 emissions, building gross domestic product, and energy efficiency is also presented. This article makes an analysis on the energy utilization and energy-saving reconstruction of a public commercial building in Shanghai and then makes an analysis of carbon audit about greenhouse gas emissions related to energy utilization (it analyzes the status of building’s energy utilization and greenhouse gas emissions, to have a more comprehensive understanding on the internal relationship between energy consumption and its greenhouse gas emissions and provide researchful reference data for the development with reduction strategies of greenhouse gas emission in future building.

  3. Contact configuration and energy consumption in spinal cord stimulation

    NARCIS (Netherlands)

    de Vos, Cecilia Cecilia Clementine; Hilgerink, M.P.; Buschman, H.P.J.; Holsheimer, J.; Vander Sloten, Jos; Verdonck, Pascal; Nyssen, Marc; Haueisen, Jens

    2009-01-01

    Objective: To test the hypothesis that, in contrast to an increase of the number of anodes which reduces energy consumption per pulse, an increase of the number of cathodes raises the energy consumption. Materials and Methods: Patients with an Itrel 3 Pulse Generator and a Pisces Quad quadripolar

  4. Financial Development, Economic Growth and Energy Consumption Nexus in Cote d’Ivoire

    Directory of Open Access Journals (Sweden)

    Diby Kassi

    2017-10-01

    Full Text Available This paper examines the relationship between financial development, economic growth and energy consumption in Cote d’Ivoire over the period 1971-2011. To do so, the study first built a synthetic indicator of financial development through the principal component analysis technique (PCA and used four energy sources such as electric power consumption, electricity production from renewable sources, electricity production from oil sources and electricity production from hydroelectric sources. Then, employing the autoregressive distributed lag (ARDL bounds testing approach to cointegration, we find that there is a long run relationship between financial development, economic growth and energy consumption sources. Furthermore, the results of the vector error correction models (VECM reveal unidirectional causality running from financial development to energy consumption sources, bidirectional causality between economic growth and energy consumption and unidirectional causality from financial development to economic growth in the long run. The mixed results are due to the use of different proxies for energy consumption. Accordingly, this paper recommends that policy makers should solicit the support of financial sector in order to solve energy problems and further the diversification of the energy consumption sources since financial development has a positive effect on energy consumption in long run. Moreover, government should develop public-private partnership (PPP to stimulate economic growth, improve the access to energy and maintain a sustainable development in Cote d’Ivoire.

  5. Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings.

    Science.gov (United States)

    Fotopoulou, Eleni; Zafeiropoulos, Anastasios; Terroso-Sáenz, Fernando; Şimşek, Umutcan; González-Vidal, Aurora; Tsiolis, George; Gouvas, Panagiotis; Liapis, Paris; Fensel, Anna; Skarmeta, Antonio

    2017-09-07

    Considering that the largest part of end-use energy consumption worldwide is associated with the buildings sector, there is an inherent need for the conceptualization, specification, implementation, and instantiation of novel solutions in smart buildings, able to achieve significant reductions in energy consumption through the adoption of energy efficient techniques and the active engagement of the occupants. Towards the design of such solutions, the identification of the main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants' behavior and the potential for the adoption of environmentally-friendly lifestyle changes have to be realized. In the current article, an innovative energy-aware information technology (IT) ecosystem is presented, aiming to support the design and development of novel personalized energy management and awareness services that can lead to occupants' behavioral change towards actions that can have a positive impact on energy efficiency. Novel information and communication technologies (ICT) are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants' lifestyles. The overall layered architectural approach is detailed, including design and instantiation aspects based on the selection of set of available technologies and tools. Initial results from the usage of the proposed energy aware IT ecosystem in a pilot site at the University of Murcia are presented along with a set of identified

  6. Energy Consumption Trends in Energy Scarce and Rich Countries: Comparative Study for Pakistan and Saudi Arabia

    Science.gov (United States)

    Gazder, Uneb

    2017-11-01

    Energy crisis is raising serious concerns throughout the world. There has been constant rise in energy consumption corresponding to the increase in global population. This sector affects the other pillars of national economy including industries and transportation. Because of these reasons, the traditional fossil-based energy sources are depleting rapidly, resulting in high and unstable energy prices. Saudi Arabia and Pakistan, although different from each other in terms of their economic stability and political systems, still rely heavily on the traditional fossil fuels. This paper presents the comparison of these two countries in terms of their energy consumption and factors affecting it. These factors include, but not limited to, economic development, and growth in population and other sectors such as; industries, transportation, etc. The comparison is also made with the regional and global energy consumption trends and these countries. Moreover, regression models were built to predict energy consumption till 2040 and compare the growth in this sector and share in global energy demand. Energy consumption in oil-rich countries (Saudi Arabia) has been driven through its economic development, while for energy insecure country (Pakistan) it is mainly because of population growth. It was also found that in the next two decades the share of Pakistan in the global energy demand will increase. This concludes that population growth will have more impact on energy consumption than economic growth. It could mean that the shift in energy sector would shift towards sustenance instead of using energy for commercial or industrial usage. Conference Track: Policy and Finance and Strategies

  7. Analysis on Energy Consumption and Indoor Environment in Kunming, China

    Directory of Open Access Journals (Sweden)

    Tianchi Hu

    2012-10-01

    Full Text Available The purposes of this study are to investigate and analyze the actual conditions of the urban residential energy consumption, and hence to ascertain what will be the important factors that influence the annual energy consumption in Kunming, which has a mild climate. The questionnaire surveys reveal building characteristics, housing appliances, household characteristics, indoor thermal environment and aspects of life style, during winter and summer seasons. The questionnaire analyses show that only 5% of the investigated households have air conditioning, and 12% have heating appliances. Most households use solar energy as a water heater energy source because the sunshine hours in Kunming are long. The energy consumption analyses show that the average annual energy consumption of households in Kunming reached 12.2 GJ, and cooking accounted for 5.3 GJ, which is the largest part. Most of the time in summer, the outdoor temperature is lower than living room and bedroom temperatures; thus, natural ventilation is a useful cooling method for households in Kunming. The absolute humidity in summer is about 11 g/kg, while in winter it is about 5 g/kg. The influence factor analyses show that building construction year, water heater type and annual income are important influential factors on annual energy consumption.

  8. Aggregate Energy Consumption and Sectoral Output in Nigeria ...

    African Journals Online (AJOL)

    First Lady

    2012-10-27

    Oct 27, 2012 ... 2005); or from economic growth to aggregate energy consumption (Binh,. 2011; Yoo and Kim, ... in order identify sectors of the economy that are energy dependent and also to avoid energy ..... in Indonesia. Energy Policy ...

  9. Energy: The consumption will increase in 50% until year 2010

    International Nuclear Information System (INIS)

    1993-01-01

    The energetic consumption will increase about 30% until year 2010. The article presents forecasting of International Energy Agency. Analyzing costs, consumption and demand, the IEA studies the different energy. Sources and their development: Natural gas (big increasing), Natural energy (decreasing), Carbon (stability). Finally recommendations of IEA are presented

  10. China's energy consumption: A perspective from Divisia aggregation approach

    International Nuclear Information System (INIS)

    Liao, Hua; Wei, Yi-Ming

    2010-01-01

    China's total energy consumption, according to the official data, decreased impressively during 1997-1998 and increased sharply during 2003-2007, which in turn resulted in energy intensity fluctuation. Many literatures explained this ''unusual phenomenon'' from the perspectives of technical change, economic structure shifting and statistical data quality. They measured aggregate energy in thermal units by using linear summation approaches. In this paper, from the perspectives of heterogeneity and imperfect substitutability among diverse energy types, we further examine China's aggregate energy consumption by using Divisia (Sato-Vartia) approach. The results show that China's aggregate energy consumption and intensity fluctuated slightly less than values calculated by using conventional linear approaches, and the ''unusual phenomenon'' is partly explained. It also implies that China's energy intensity changes in 2006-2007 are slightly more optimistic than those officially reported, and the official communique of provincial energy intensity reduction achievements are partly bias. Some provincial achievement are underestimated or overestimated on some provinces. Our empirical results are also helpful to further research, such as energy-economic modeling, energy price elasticity, and elasticity of substitution among capital-labor-energy-material (KLEM). The difficulties or defects when using Divisia approach are also discussed in this paper. (author)

  11. Estimating Energy Consumption of Transport Modes in China Using DEA

    Directory of Open Access Journals (Sweden)

    Weibin Lin

    2015-04-01

    Full Text Available The rapid growth of transport requirements in China will incur increasing transport energy demands and associated environmental pressures. In this paper, we employ a generalized data envelopment analysis (DEA to evaluate the relative energy efficiency of rail, road, aviation and water transport from 1971 to 2011 by considering the energy input and passenger-kilometers (PKM and freight ton-kilometers (TKM outputs. The results show that the optimal energy efficiencies observed in 2011 are for rail and water transport, with the opposite observed for the energy efficiencies of aviation and road transport. In addition, we extend the DEA model to estimate future transport energy consumption in China. If each transport mode in 2020 is optimized throughout the observed period, the national transport energy consumption in 2020 will reach 497,701 kilotons coal equivalent (ktce, whereas the annual growth rate from 2011 to 2020 will be 5.7%. Assuming that efficiency improvements occur in this period, the estimated national transport energy consumption in 2020 will be 443,126 ktce, whereas the annual growth rate from 2011 to 2020 will be 4.4%, which is still higher than that of the national total energy consumption (3.8%.

  12. Energy consumption and economic growth. Assessing the evidence from Greece

    International Nuclear Information System (INIS)

    Hondroyiannis, George; Lolos, Sarantis; Papapetrou, Evangelia

    2002-01-01

    This paper attempts to shed light into the empirical relationship between energy consumption and economic growth, for Greece (1960-1996) employing the vector error-correction model estimation. The vector specification includes energy consumption, real GDP and price developments, the latter taken to represent a measure of economic efficiency. The empirical evidence suggests that there is a long-run relationship between the three variables, supporting the endogeneity of energy consumption and real output. These findings have important policy implications, since the adoption of suitable structural policies aiming at improving economic efficiency can induce energy conservation without impeding economic growth

  13. Energy consumption, income, and carbon emissions in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Soytas, Ugur [Department of Business Administration, Middle East Technical University Ankara, Turkey 06531 (Turkey); Sari, Ramazan [Department of Economics, Abant Izzet Baysal University Bolu, Turkey 14280 (Turkey); Ewing, Bradley T. [Rawls College of Business Texas Tech University Lubbock, TX 79409-2101 (United States)

    2007-05-15

    This paper investigates the effect of energy consumption and output on carbon emissions in the United States. Earlier research focused on testing the existence and/or shape of an environmental Kuznets curve without taking energy consumption into account. We investigate the Granger causality relationship between income, energy consumption, and carbon emissions, including labor and gross fixed capital formation in the model. We find that income does not Granger cause carbon emissions in the US in the long run, but energy use does. Hence, income growth by itself may not become a solution to environmental problems. (author)

  14. Energy consumption analysis for the Mars deep space station

    Science.gov (United States)

    Hayes, N. V.

    1982-01-01

    Results for the energy consumption analysis at the Mars deep space station are presented. It is shown that the major energy consumers are the 64-Meter antenna building and the operations support building. Verification of the antenna's energy consumption is highly dependent on an accurate knowlege of the tracking operations. The importance of a regular maintenance schedule for the watt hour meters installed at the station is indicated.

  15. Energy consumption patterns. A theoretical analysis; Energieverbrauchsverhalten. Eine theoretische Analyse

    Energy Technology Data Exchange (ETDEWEB)

    Flandrich, D.

    2006-07-01

    The author questions the methodological and methodical foundations of energy consumption research and attempts a theory of energy consumption patterns on the basis of psychology, opening up a quite new perspective that has been neglected so far. Energy policy and energy marketing are two fields of applications which are getting more important in these times of increasing prices of energy resources, high public awareness of environmental issues, and deregulated energy markets. (orig.)

  16. Energy access: Revelations from energy consumption patterns in rural India

    International Nuclear Information System (INIS)

    Srivastava, Leena; Goswami, Anandajit; Diljun, Gaurang Meher; Chaudhury, Saswata

    2012-01-01

    After decades of research on the subject of energy poverty and access and its impact on human development, the issue has finally gained global attention and commitment through the UN Secretary General's initiative on Sustainable Energy for All. However, the issue of what constitutes energy access and how such access can be supported by efficient subsidies remains a key question that does not have simple answers. At what point along the energy consumption and income spectrum does the energy access problem cease to be one of public policy, thereby letting the market take over? Using data from an extensive survey carried out by the Government of India, this paper highlights the complexities and inadequacies of using a normative consumption based approach to determine the scope and scale of interventions required. Factoring in the environmental and social pillars of sustainable development when defining access to modern energy forms would also significantly inform the level of effort involved in meeting the goal of energy access to all. - Highlights: ► Simple head count measures are inadequate to estimate the energy access challenge. ► The income and energy poor populations in a country need not completely overlap. ► Modern energy service delivery mechanisms, ensuring quality, essential for outcomes. ► Need to create enabling environment that empowers making of desired energy choices.

  17. Energy management information systems : achieving improved energy efficiency : a handbook for managers, engineers and operational staff

    Energy Technology Data Exchange (ETDEWEB)

    Hooke, J.H.; Landry, B.J.; Hart, D. [Natural Resources Canada, Ottawa, ON (Canada). Office of Energy Efficiency

    2004-07-01

    There are many opportunities for industrial and commercial facilities to improve energy efficiency by minimizing waste through process optimization. Large energy users can effectively reduce energy costs, improve profits and reduce greenhouse gas emissions by using computing and control equipment. This book covers all aspects of an Energy Management Information System (EMIS) including metering, data collection, data analysis, reporting and cost benefit analyses. EMIS provides relevant information to businesses that enables them to improve energy performance. EMIS deliverables include early detection of poor performance, support for decision making and effective energy reporting. EMIS also features data storage, calculation of effective targets for energy use and comparative energy consumption. Computer systems can be used to improve business performance in terms of finance, personnel, sales, resource planning, maintenance, process control, design and training. In the 1980s, the Canadian Industry Program for Energy Conservation (CIPEC) developed 2 versions of an energy accounting manual to help industrial, commercial and institutional sectors implement energy-accounting systems. The manual was revised in 1989 and is a useful energy management tool for business and other organizations. The EMIS examples described in this booklet reflect that energy is a variable operating cost, not a fixed overhead charge. 8 tabs., 38 figs.

  18. Consumer Acceptance Analysis of the Home Energy Management System

    Directory of Open Access Journals (Sweden)

    Eung-Suk Park

    2017-12-01

    Full Text Available The purpose of this paper is to study consumer acceptance of the Home Energy Management System, which is the next generation electronic management system that the Korean government plans to implement in households. The Home Energy Management System is a critical device in maximizing the efficiency of electric energy consumption for each household by using a smart grid. Because it can visualize real-time price information on the electricity, households can easily monitor and control the amount of electricity consumption. With this feature, the Home Energy Management System can contribute to consumers’ total energy savings. This is a major reason why the Korean government wishes to implement it nationwide. Since the Home Energy Management System is a product that applies new technology that has not yet been directly encountered by consumers, there may be a difference in the level of public perception of the Home Energy Management System. Therefore, the impact of consumers’ awareness of the Home Energy Management System on their intention to use is important. To do this, the Technology Acceptance Model is utilized in this study. Traditional research on the Technology Acceptance Model includes awareness of usefulness and ease of use as well as intention to use. In contrast, in this research, an extended Technology Acceptance Model with four additional factors—economic benefit, social contribution, environmental responsibility, and innovativeness—that may affect the consumer’s awareness of usefulness and ease of use, is proposed. To collect the data, the survey was conducted with 287 respondents. As a result, the proposed model proved to be suitable in explaining the intention to use with a 70.3% explanation power. It is found that economic benefit (0.231 and innovativeness (0.259 impact on usefulness of the Home Energy Management System. Moreover, usefulness (0.551 has a bigger effect on intention to use than ease of use (0.338 does. Based

  19. CO2 emissions, energy consumption and economic growth in BRIC countries

    International Nuclear Information System (INIS)

    Pao, H.-T.; Tsai, C.-M.

    2010-01-01

    This paper examines dynamic causal relationships between pollutant emissions, energy consumption and output for a panel of BRIC countries over the period 1971-2005, except for Russia (1990-2005). In long-run equilibrium energy consumption has a positive and statistically significant impact on emissions, while real output exhibits the inverted U-shape pattern associated with the Environmental Kuznets Curve (EKC) hypothesis with the threshold income of 5.393 (in logarithms). In the short term, changes in emissions are driven mostly by the error correction term and short term energy consumption shocks, as opposed to short term output shocks for each country. Short-term deviations from the long term equilibrium take from 0.770 years (Russia) to 5.848 years (Brazil) to correct. The panel causality results indicate there are energy consumption-emissions bidirectional strong causality and energy consumption-output bidirectional long-run causality, along with unidirectional both strong and short-run causalities from emissions and energy consumption, respectively, to output. Overall, in order to reduce emissions and not to adversely affect economic growth, increasing both energy supply investment and energy efficiency, and stepping up energy conservation policies to reduce unnecessary wastage of energy can be initiated for energy-dependent BRIC countries. - Research highlights: →Energy has a positive impact on emissions, while output supports EKC hypothesis. →Changes in emissions are driven mostly by the ECT and short term energy shocks. →Short-term deviations from the long-term equilibrium take 0.77-5.85 years to correct. →There are energy-emissions and energy-output bidirectional long-run causalities. →There are unidirectional strong causalities from emissions and energy to output.

  20. Habit formation and consumption of energy for heating

    DEFF Research Database (Denmark)

    Leth-Petersen, Søren

    2007-01-01

    In this paper we ask if consumption of energy for space heating by households is habit forming. A model of intertemporal consumption allocation allowing for habit-forming preferences is estimated on a register-based panel data set with high quality information about consumption of natural gas...... for a sample of Danish households. Results indicate that preferences are weakly habit forming...

  1. Nuclear energy consumption, oil prices, and economic growth: Evidence from highly industrialized countries

    International Nuclear Information System (INIS)

    Lee, Chien-Chiang; Chiu, Yi-Bin

    2011-01-01

    This study utilizes the Johansen cointegration technique, the Granger non-causality test of Toda and Yamamoto (1995), the generalized impulse response function, and the generalized forecast error variance decomposition to examine the dynamic interrelationship among nuclear energy consumption, real oil price, oil consumption, and real income in six highly industrialized countries for the period 1965-2008. Our empirical results indicate that the relationships between nuclear energy consumption and oil are as substitutes in the U.S. and Canada, while they are complementary in France, Japan, and the U.K. Second, the long-run income elasticity of nuclear energy is larger than one, indicating that nuclear energy is a luxury good. Third, the results of the Granger causality test find evidence of unidirectional causality running from real income to nuclear energy consumption in Japan. A bidirectional relationship appears in Canada, Germany and the U.K., while no causality exists in France and the U.S. We also find evidence of causality running from real oil price to nuclear energy consumption, except for the U.S., and causality running from oil consumption to nuclear energy consumption in Canada, Japan, and the U.K., suggesting that changes in price and consumption of oil influence nuclear energy consumption. Finally, the results observe transitory initial impacts of innovations in real income and oil consumption on nuclear energy consumption. In the long run the impact of real oil price is relatively larger compared with that of real income on nuclear energy consumption in Canada, Germany, Japan, and the U.S.

  2. Nuclear energy consumption, oil prices, and economic growth: Evidence from highly industrialized countries

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Chien-Chiang, E-mail: cclee@cm.nsysu.edu.tw; Chiu, Yi-Bin

    2011-03-15

    This study utilizes the Johansen cointegration technique, the Granger non-causality test of Toda and Yamamoto (1995), the generalized impulse response function, and the generalized forecast error variance decomposition to examine the dynamic interrelationship among nuclear energy consumption, real oil price, oil consumption, and real income in six highly industrialized countries for the period 1965-2008. Our empirical results indicate that the relationships between nuclear energy consumption and oil are as substitutes in the U.S. and Canada, while they are complementary in France, Japan, and the U.K. Second, the long-run income elasticity of nuclear energy is larger than one, indicating that nuclear energy is a luxury good. Third, the results of the Granger causality test find evidence of unidirectional causality running from real income to nuclear energy consumption in Japan. A bidirectional relationship appears in Canada, Germany and the U.K., while no causality exists in France and the U.S. We also find evidence of causality running from real oil price to nuclear energy consumption, except for the U.S., and causality running from oil consumption to nuclear energy consumption in Canada, Japan, and the U.K., suggesting that changes in price and consumption of oil influence nuclear energy consumption. Finally, the results observe transitory initial impacts of innovations in real income and oil consumption on nuclear energy consumption. In the long run the impact of real oil price is relatively larger compared with that of real income on nuclear energy consumption in Canada, Germany, Japan, and the U.S.

  3. [Analysis of grey correlation between energy consumption and economic growth in Liaoning Province, China.

    Science.gov (United States)

    Wang, Li; Xi, Feng Ming; Wang, Jiao Yue

    2016-03-01

    The contradiction between energy consumption and economic growth is increasingly prominent in China. Liaoning Province as one of Chinese heavy industrial bases, consumes a large amount of energy. Its economic development has a strong dependence on energy consumption, but the energy in short supply become more apparent. In order to further understand the relationship between energy consumption and economic growth and put forward scientific suggestions on low carbon development, we used the grey correlation analysis method to separately examine the relevance of economic growth with energy consumption industries and energy consumption varieties through analy sis of energy consumption and economic growth data in Liaoning Province from 2000 to 2012. The results showed that the wholesale and retail sector and hotel and restaurant sector were in the minimum energy consumption in all kinds of sectors, but they presented the closest connection with the economic growth. Although industry energy consumption was the maximum, the degree of connection between industry energy consumption and economic growth was weak. In all types of energy consumption, oil and hydro-power consumption had a significant connection with economic growth. However, the degree of connection of coal consumption with economic growth was not significant, which meant that coal utilization efficiency was low. In order to achieve low carbon and sustainable development, Liaoning Province should transform the economic growth mode, adjust industry structure, optimize energy structure, and improve energy utilization efficiency, especially promote producer services and develop clean and renewable energy.

  4. Energy Management of Smart Distribution Systems

    Science.gov (United States)

    Ansari, Bananeh

    Electric power distribution systems interface the end-users of electricity with the power grid. Traditional distribution systems are operated in a centralized fashion with the distribution system owner or operator being the only decision maker. The management and control architecture of distribution systems needs to gradually transform to accommodate the emerging smart grid technologies, distributed energy resources, and active electricity end-users or prosumers. The content of this document concerns with developing multi-task multi-objective energy management schemes for: 1) commercial/large residential prosumers, and 2) distribution system operator of a smart distribution system. The first part of this document describes a method of distributed energy management of multiple commercial/ large residential prosumers. These prosumers not only consume electricity, but also generate electricity using their roof-top solar photovoltaics systems. When photovoltaics generation is larger than local consumption, excess electricity will be fed into the distribution system, creating a voltage rise along the feeder. Distribution system operator cannot tolerate a significant voltage rise. ES can help the prosumers manage their electricity exchanges with the distribution system such that minimal voltage fluctuation occurs. The proposed distributed energy management scheme sizes and schedules each prosumer's ES to reduce the electricity bill and mitigate voltage rise along the feeder. The second part of this document focuses on emergency energy management and resilience assessment of a distribution system. The developed emergency energy management system uses available resources and redundancy to restore the distribution system's functionality fully or partially. The success of the restoration maneuver depends on how resilient the distribution system is. Engineering resilience terminology is used to evaluate the resilience of distribution system. The proposed emergency energy

  5. Energy consumption and economic development in Sub-Sahara Africa

    International Nuclear Information System (INIS)

    Kebede, Ellene; Kagochi, John; Jolly, Curtis M.

    2010-01-01

    Sub-Saharan African countries' economic development is dependent on energy consumption. This paper assesses total energy demand, which is composed of traditional energy (wood fuel) and commercial energy (electricity and petroleum), in the Central, East, South, and West regions of Sub-Saharan Africa. Cross-sectional time series data for 20 countries in 25 years are analyzed, and the results of the study show that wood fuel accounts for 70% of energy consumption, followed by petroleum, with most industrial activities utilizing some form of wood fuel. Regression results suggest that energy demand is inversely related to the price of petroleum and industrial development, but positively related to GDP, population growth rate, and agricultural expansion, and that price elasticity is less than one. The model results also show that there are regional differences in energy demand. In addition, the interaction of population growth rates by regions generates mixed results, and there are regional differences in the use of commercial energy consumption, and GDP growth. The findings of this study suggest that countries must diversify their energy sources and introduce energy-efficient devices and equipment at all levels of the economy to improve GDP growth rate and GDP per capita. (author)

  6. Reducing consumption of electric current and energy carriers. [USSR

    Energy Technology Data Exchange (ETDEWEB)

    Ruppo, A.S.; Gruzdev, Yu.M.

    1985-01-01

    Evaluates the energy conservation program developed by the Giproshakht research institute is evaluated. The program was used in the Afanas'evo hydraulic mine in the Tulaugol association (with annual coal output of 2.1 Mt). Energy conservation program consisted of 2 groups of tasks: reducing energy consumption of the mine, and reducing energy consumption during the maximum demand hours in the morning and evening. The following methods were used: reducing idle running of chain and belt conveyors, separate draining of mine water free of dust and rock particles (reducing range of water cleaning), use of automatic control systems for mine blowers, automatic control of the system for coal drying, more efficient use of coal and materials transport in the mine. Energy demand of the mine during peak demand hours was reduced by adjusting fluctuations of energy consumption of the mine to fluctuations of energy demand in the power system of the area, e.g. by reducing mine draining in the morning and evening and operating at full capacity during the time of reduced energy demand. Using the energy conservation measures economized 4,324,300 kWh electric energy annually.

  7. Energy consumption and economic development in Sub-Sahara Africa

    Energy Technology Data Exchange (ETDEWEB)

    Kebede, Ellene [Department of Agricultural and Environmental Science, 210 Campbell, Hall, Tuskegee University, Tuskegee, AL 36088 (United States); Kagochi, John [School of Business Administration, University of Houston-Victoria, 3007, N. Ben Wilson, Victoria, 77901 (United States); Jolly, Curtis M. [Department of Agricultural Economics and Rural Sociology, 212 Comer, Hall Auburn University, AL 36849 (United States)

    2010-05-15

    Sub-Saharan African countries' economic development is dependent on energy consumption. This paper assesses total energy demand, which is composed of traditional energy (wood fuel) and commercial energy (electricity and petroleum), in the Central, East, South, and West regions of Sub-Saharan Africa. Cross-sectional time series data for 20 countries in 25 years are analyzed, and the results of the study show that wood fuel accounts for 70% of energy consumption, followed by petroleum, with most industrial activities utilizing some form of wood fuel. Regression results suggest that energy demand is inversely related to the price of petroleum and industrial development, but positively related to GDP, population growth rate, and agricultural expansion, and that price elasticity is less than one. The model results also show that there are regional differences in energy demand. In addition, the interaction of population growth rates by regions generates mixed results, and there are regional differences in the use of commercial energy consumption, and GDP growth. The findings of this study suggest that countries must diversify their energy sources and introduce energy-efficient devices and equipment at all levels of the economy to improve GDP growth rate and GDP per capita. (author)

  8. Analysis of rural residential energy consumption and corresponding carbon emissions in China

    International Nuclear Information System (INIS)

    Yao Chunsheng; Chen Chongying; Li Ming

    2012-01-01

    The analysis of rural residential energy consumption in China from 2001 to 2008 and corresponding impacts on climate change is presented in the paper. It is found that rural residential energy consumption has shown obvious transition from non-commercial energy to commercial energy. The percentage of biomass energy consumption dropped from 81.5% in 2001 to 70.9% in 2008, while the percentage of commercial energy increased from 17.1% to 25.1%. Besides, other renewable energy increased very fast with annual growth rate of 19.8%. Correspondingly, total CO 2 emissions from rural residential energy consumption had significant increase from 152.2 Million tons in 2001 to 283.6 Million tons in 2008. The annual growth rate of per capita CO 2 emissions was nearly 2 times faster than that of urban area. The major driving force for the consumption of commercial energy was the income of rural farmers, while strong rural energy policies supported the development of renewable energy. To satisfy the goals of energy supply and CO 2 emissions reduction in rural areas, it is advised to change the energy structure and improve the energy efficiency, such as to generate electricity using renewable technologies and to replace coal with modern biomass energy for cooking and heating. - Highlights: ► This study analyzed rural residential energy consumption in China 2001–2008. ► It shows obvious transition from non-commercial energy to commercial energy. ► CO 2 emissions from rural residential energy consumption have significant increases. ► Major driving forces are income of rural farmers and rural energy policies. ► Generate electricity using renewable technology and replace coal with modern biomass.

  9. Disaggregated energy consumption and GDP in Taiwan: A threshold co-integration analysis

    International Nuclear Information System (INIS)

    Hu, J.-L.; Lin, C.-H.

    2008-01-01

    Energy consumption growth is much higher than economic growth for Taiwan in recent years, worsening its energy efficiency. This paper provides a solid explanation by examining the equilibrium relationship between GDP and disaggregated energy consumption under a non-linear framework. The threshold co-integration test developed with asymmetric dynamic adjusting processes proposed by Hansen and Seo [Hansen, B.E., Seo, B., 2002. Testing for two-regime threshold cointegration in vector error-correction models. Journal of Econometrics 110, 293-318.] is applied. Non-linear co-integrations between GDP and disaggregated energy consumptions are confirmed except for oil consumption. The two-regime vector error-correction models (VECM) show that the adjustment process of energy consumption toward equilibrium is highly persistent when an appropriately threshold is reached. There is mean-reverting behavior when the threshold is reached, making aggregate and disaggregated energy consumptions grow faster than GDP in Taiwan

  10. Smart Energy Management for Households

    Directory of Open Access Journals (Sweden)

    Sonja van Dam

    2013-06-01

    Full Text Available The aim of the research presented in this thesis was to infer design-related insights and guidelines to improve the use and effectiveness of home energy management systems (HEMS. This was done through an empirical evaluation of the longitudinal effectiveness of these devices and an exploration of factors that influence their use and effectiveness. Three case studies executed with three different HEMS in households, a life cycle assessment (LCA on those three HEMS, as well as a reflection on the challenges of both researching and implementing HEMS in existing housing gave a comprehensive picture of the opportunities and barriers for HEMS. The research revealed five typical use patterns that emerged amongst households. It also revealed average energy savings of 7.8%, which however decreased in the follow-up that was conducted, and factors that may influence the use and effectiveness of HEMS. Nonetheless, the LCA calculations divulged that the HEMS can achieve net energy savings when taking their embedded energy into account. Problem statement The goal of reducing the energy consumption of existing housing formed the basis for this research. There are many facets to this energy consumption, including the characteristics of the house, its appliances, and the behaviours of its inhabitants. Because of this complexity, addressing only one of these facets is not effective in substantially reducing the overall energy consumption of households. This called for an interdisciplinary approach, merging the domains of design for sustainability, sustainable housing transformation and environmental psychology. In this thesis, HEMS were chosen as the intervention to address the various elements that contribute to household energy consumption, thereby functioning as a pivot. By giving feedback and/or helping manage consumption they can assist households in changing their behaviour and help save energy. However, in analysing literature on HEMS, four critique points

  11. Urban transport energy consumption: Belgrade case study

    Directory of Open Access Journals (Sweden)

    Jovanović Miomir M.

    2015-01-01

    Full Text Available More than half of the global population now lives in towns and cities. At the same time, transport has become the highest single energy-consuming human activity. Hence, one of the major topics today is the reduction of urban transport demand and of energy consumption in cities. In this article we focused on the whole package of instruments that can reduce energy consumption and transport demand in Belgrade, a city that is currently at a major crossroad. Belgrade can prevent a dramatic increase in energy consumption and CO2 emissions (and mitigate the negative local environmental effects of traffic congestion, traffic accidents and air pollution, only if it: 1 implements a more decisive strategy to limit private vehicles use while its level of car passenger km (PKT is still relatively low; 2 does not try to solve its transport problems only by trying to build urban road infrastructure (bridges and ring roads; and 3 if it continues to provide priority movement for buses (a dominant form of public transport, while 4 at the same time developing urban rail systems (metro or LRT with exclusive tracks, immune to the traffic congestion on urban streets. [Projekat Ministarstva nauke Republike Srbije, br. 37010

  12. FEMAN: Fuzzy-Based Energy Management System for Green Houses Using Hybrid Grid Solar Power

    Directory of Open Access Journals (Sweden)

    Abdellah Chehri

    2013-01-01

    Full Text Available The United Nations has designated the year 2012 as the international year of sustainable energy. Today, we are seeing a rise in global awareness of energy consumption and environmental problems. Many nations have launched different programs to reduce the energy consumption in residential and commercial buildings to seek lower-carbon energy solutions. We are talking about the future green and smart houses. The subject of smart/green houses is not one of “why,” but rather “how,” specifically: “how making the future house more energy efficient.” The use of the renewable energy, the technology and the services could help us to answer this question. Intelligent home energy management is an approach to build centralized systems that deliver application functionality as services to end-consumer applications. The objective of this work is to develop a smart and robust controller for house energy consumption with maximizing the use of solar energy and reducing the impact on the power grid while satisfying the energy demand of house appliances. We proposed a fuzzy-based energy management controller in order to reduce the consumed energy of the building while respecting a fixed comfort.

  13. Evidence of long memory behavior in U.S. renewable energy consumption

    International Nuclear Information System (INIS)

    Pestana Barros, Carlos; Gil-Alana, Luis A.; Payne, James E.

    2012-01-01

    This study examines the degrees of time persistence in U.S. total renewable energy consumption using innovative fractional integration and autoregressive models with monthly data from 1981:1 to 2010:10. The results indicate that renewable energy consumption is better explained in terms of a long memory model that incorporates persistence components and seasonality. The degree of integration is above 0.5 but significantly below 1.0, suggesting nonstationarity with mean reverting behavior. The presence of long memory behavior (persistence) in renewable energy consumption suggests that random shocks may very well move renewable energy consumption from pre-determined target levels for a period of time.

  14. [Energy Consumption Comparison and Energy Saving Approaches for Different Wastewater Treatment Processes in a Large-scale Reclaimed Water Plant].

    Science.gov (United States)

    Yang, Min; Li, Ya-ming; Wei, Yuan-song; Lü, Jian; Yu, Da-wei; Liu, Ji-bao; Fan, Yao-bo

    2015-06-01

    Energy consumption is the main performance indicator of reclaimed water plant (RWP) operation. Methods of specific energy consumption analysis, unit energy consumption analysis and redundancy analysis were applied to investigate the composition and spatio-temporal distribution of energy consumption in Qinghe RWP with inverted A2/O, A2/O and A2/O-MBR processes. And the A2/ O-MBR process was mainly analyzed to identify the main nodes and causes for high energy consumption, approaches for energy saving were explored, and the energy consumption before and after upgrading for energy saving was compared. The results showed that aeration was the key factor affecting energy consumption in both conventional and A2/O-MBR processes, accounting for 42.97% and 50.65% of total energy consumption, respectively. A pulsating aeration allowed an increasing membrane flux and remarkably reduced the energy consumption of the A2/O-MBR process while still meeting the effluent standard, e.g., the membrane flux was increased by 20%, and the energy consumptions per kiloton wastewater and kilogram COD(removed) were decreased by 42.39% to 0.53 kW-h-kg-3 and by 54.74% to 1.29 kW x h x kg(-1), respectively. The decrease of backflow ratio in the A2/O-MBR process within a certain range would not deteriorate the effluent quality due to its insignificant correlation with the effluent quality, and therefore may be considered as one of the ways for further energy saving.

  15. Ten years of energy consumption in the tertiary sector

    International Nuclear Information System (INIS)

    Rabai, Yacine

    2012-11-01

    This document presents and comments data regarding electricity consumption by the tertiary sector over the last ten years in France. It notably outlines its strong increase compared to the other sectors (housing, industry, transport, agriculture). It comments the evolution of the energy mix of the tertiary sector (electricity with 47%, gas with 25% and oil with 19% are prevailing). It briefly comments the evolution of energy efficiency within this sector. It indicates and comments the shares of energy consumption, of high voltage electricity and gas consumption by the different sub-sectors (retail, automobile and motorcycle repair, public administration, health and social activity, real estate, specialised, scientific and technical activities, education, and so on)

  16. Research on statistical methodology to investigate energy consumption in public buildings sector in China

    International Nuclear Information System (INIS)

    Chen Shuqin; Li Nianping; Guan Jun

    2008-01-01

    The purpose of this research is to find a statistical methodology to investigate the national energy consumption in the public buildings sector in China, in order to look into the actuality of the national energy consumption of public buildings and to provide abundant data for building energy efficiency work. The frame of a national statistical system of energy consumption for public buildings is presented in this paper. The statistical index system of energy consumption is constituted, which refers to the general characteristics of public buildings, their possession and utilization of energy consumption equipment and their energy consumption quantities. Sequentially, a set of statistical report forms is designed to investigate the energy consumption of cities, provinces and the country, respectively. On this base, the above statistical methodology is used to gather statistics of a public building for annual energy consumption

  17. Optimizing Energy Consumption in Vehicular Sensor Networks by Clustering Using Fuzzy C-Means and Fuzzy Subtractive Algorithms

    Science.gov (United States)

    Ebrahimi, A.; Pahlavani, P.; Masoumi, Z.

    2017-09-01

    Traffic monitoring and managing in urban intelligent transportation systems (ITS) can be carried out based on vehicular sensor networks. In a vehicular sensor network, vehicles equipped with sensors such as GPS, can act as mobile sensors for sensing the urban traffic and sending the reports to a traffic monitoring center (TMC) for traffic estimation. The energy consumption by the sensor nodes is a main problem in the wireless sensor networks (WSNs); moreover, it is the most important feature in designing these networks. Clustering the sensor nodes is considered as an effective solution to reduce the energy consumption of WSNs. Each cluster should have a Cluster Head (CH), and a number of nodes located within its supervision area. The cluster heads are responsible for gathering and aggregating the information of clusters. Then, it transmits the information to the data collection center. Hence, the use of clustering decreases the volume of transmitting information, and, consequently, reduces the energy consumption of network. In this paper, Fuzzy C-Means (FCM) and Fuzzy Subtractive algorithms are employed to cluster sensors and investigate their performance on the energy consumption of sensors. It can be seen that the FCM algorithm and Fuzzy Subtractive have been reduced energy consumption of vehicle sensors up to 90.68% and 92.18%, respectively. Comparing the performance of the algorithms implies the 1.5 percent improvement in Fuzzy Subtractive algorithm in comparison.

  18. Wireless network interface energy consumption implications of popular streaming formats

    Science.gov (United States)

    Chandra, Surendar

    2001-12-01

    With the proliferation of mobile streaming multimedia, available battery capacity constrains the end-user experience. Since streaming applications tend to be long running, wireless network interface card's (WNIC) energy consumption is particularly an acute problem. In this work, we explore the WNIC energy consumption implications of popular multimedia streaming formats from Microsoft (Windows media), Real (Real media) and Apple (Quick Time). We investigate the energy consumption under varying stream bandwidth and network loss rates. We also explore history-based client-side strategies to reduce the energy consumed by transitioning the WNICs to a lower power consuming sleep state. We show that Microsoft media tends to transmit packets at regular intervals; streams optimized for 28.8 Kbps can save over 80% in energy consumption with 2% data loss. A high bandwidth stream (768 Kbps) can still save 57% in energy consumption with less than 0.3% data loss. For high bandwidth streams, Microsoft media exploits network-level packet fragmentation, which can lead to excessive packet loss (and wasted energy) in a lossy network. Real stream packets tend to be sent closer to each other, especially at higher bandwidths. Quicktime packets sometimes arrive in quick succession; most likely an application level fragmentation mechanism. Such packets are harder to predict at the network level without understanding the packet semantics.

  19. RECOVERY ACT: DYNAMIC ENERGY CONSUMPTION MANAGEMENT OF ROUTING TELECOM AND DATA CENTERS THROUGH REAL-TIME OPTIMAL CONTROL (RTOC): Final Scientific/Technical Report

    Energy Technology Data Exchange (ETDEWEB)

    Ron Moon

    2011-06-30

    This final scientific report documents the Industrial Technology Program (ITP) Stage 2 Concept Development effort on Data Center Energy Reduction and Management Through Real-Time Optimal Control (RTOC). Society is becoming increasingly dependent on information technology systems, driving exponential growth in demand for data center processing and an insatiable appetite for energy. David Raths noted, 'A 50,000-square-foot data center uses approximately 4 megawatts of power, or the equivalent of 57 barrels of oil a day1.' The problem has become so severe that in some cases, users are giving up raw performance for a better balance between performance and energy efficiency. Historically, power systems for data centers were crudely sized to meet maximum demand. Since many servers operate at 60%-90% of maximum power while only utilizing an average of 5% to 15% of their capability, there are huge inefficiencies in the consumption and delivery of power in these data centers. The goal of the 'Recovery Act: Decreasing Data Center Energy Use through Network and Infrastructure Control' is to develop a state of the art approach for autonomously and intelligently reducing and managing data center power through real-time optimal control. Advances in microelectronics and software are enabling the opportunity to realize significant data center power savings through the implementation of autonomous power management control algorithms. The first step to realizing these savings was addressed in this study through the successful creation of a flexible and scalable mathematical model (equation) for data center behavior and the formulation of an acceptable low technical risk market introduction strategy leveraging commercial hardware and software familiar to the data center market. Follow-on Stage 3 Concept Development efforts include predictive modeling and simulation of algorithm performance, prototype demonstrations with representative data center equipment to

  20. Green smartphone GPUs: Optimizing energy consumption using GPUFreq scaling governors

    KAUST Repository

    Ahmad, Enas M.; Shihada, Basem

    2015-01-01

    and alternatives in controlling the power consumption and performance of their GPUs. We implemented and evaluated our model on a smartphone GPU and measured the energy performance using an external power monitor. The results show that the energy consumption

  1. Energy drink consumption is associated with unhealthy dietary behaviours among college youth.

    Science.gov (United States)

    Poulos, Natalie S; Pasch, Keryn E

    2015-11-01

    Energy drink consumption has been associated with a variety of health risk behaviours, yet little research has explored the relationship between energy drinks and dietary behaviours of emerging adults. Therefore, the purpose of this study was to explore the relationship between energy drink consumption and dietary behaviours among energy drink users and non-users within a sample of college youth. College freshmen (n = 585, m age = 18.7 years; 47% non-Hispanic White, 20.9% Hispanic, 25.5% Asian, 2.7% non-Hispanic Black and 4.4% other; 56% female), at a large, southwest university self-reported their energy drink consumption in the past week and a variety of dietary behaviours, including past week soda, diet soda, pre-packaged salty snacks, pre-packaged sweet snacks, fast food, restaurant food, frozen food, fruits, vegetables, milk and breakfast consumption. Linear regression analyses were run to determine associations between energy drink consumption and dietary behaviour among users and non-users of energy drinks. Analyses controlled for gender, race/ethnicity and body mass index (BMI). Overall, 17.5% of students had consumed energy drinks in the past week. Energy drink users were more likely to be male, White and have a greater BMI. Students also reported low past week intake of fruits, vegetables, milk and breakfast. Past week energy drink consumption was associated with increased soda and frozen meal consumption. Given a rapidly expanding energy drink market, future dietary interventions among college youth may want to consider the implications of energy drinks, as results of this study suggest consumption of these beverages is associated with unhealthy dietary behaviours and a greater BMI. © Royal Society for Public Health 2015.

  2. Energy-efficiency supervision systems for energy management in large public buildings: Necessary choice for China

    International Nuclear Information System (INIS)

    Feng Yanping; Wu Yong; Liu Changbin

    2009-01-01

    Buildings are important contributors to total energy consumption accounting for around 30% of all energy consumed in China. Of this, around two-fifths are consumed within urban homes, one-fifth within public buildings, and two-fifths within rural area. Government office buildings and large-scale public buildings are the dominant energy consumers in cities but their consumption can be largely cut back through improving efficiency. At present, energy management in the large public sector is a particular priority in China. Firstly, this paper discusses how the large public building is defined, and then energy performance in large public buildings is studied. The paper also describes barriers to improving energy efficiency of large public buildings in China and examines the energy-efficiency policies and programs adopted in United States and European Union. The energy-efficiency supervision (EES) systems developed to improve operation and maintenance practices and promote energy efficiency in large public sector are described. The benefits of the EES systems are finally summarized.

  3. Energy-efficiency supervision systems for energy management in large public buildings. Necessary choice for China

    Energy Technology Data Exchange (ETDEWEB)

    Yan-ping, Feng [Beijing Jiaotong University, School of Economics and Management, Jiaoda Donglu18, 5-803, Beijing 100044 (China); Yong, Wu [Ministry of Housing and Urban-Rural Development, Beijing 100835 (China); Chang-bin, Liu [Beijing Institute of Civil Engineering and Architecture, Beijing 100044 (China)

    2009-06-15

    Buildings are important contributors to total energy consumption accounting for around 30% of all energy consumed in China. Of this, around two-fifths are consumed within urban homes, one-fifth within public buildings, and two-fifths within rural area. Government office buildings and large-scale public buildings are the dominant energy consumers in cities but their consumption can be largely cut back through improving efficiency. At present, energy management in the large public sector is a particular priority in China. Firstly, this paper discusses how the large public building is defined, and then energy performance in large public buildings is studied. The paper also describes barriers to improving energy efficiency of large public buildings in China and examines the energy-efficiency policies and programs adopted in United States and European Union. The energy-efficiency supervision (EES) systems developed to improve operation and maintenance practices and promote energy efficiency in large public sector are described. The benefits of the EES systems are finally summarized. (author)

  4. Energy-efficiency supervision systems for energy management in large public buildings: Necessary choice for China

    Energy Technology Data Exchange (ETDEWEB)

    Feng Yanping [Beijing Jiaotong University, School of Economics and Management, Jiaoda Donglu18, 5-803, Beijing 100044 (China)], E-mail: fengyanping10@sohu.com; Wu Yong [Ministry of Housing and Urban-Rural Development, Beijing 100835 (China); Liu Changbin [Beijing Institute of Civil Engineering and Architecture, Beijing 100044 (China)

    2009-06-15

    Buildings are important contributors to total energy consumption accounting for around 30% of all energy consumed in China. Of this, around two-fifths are consumed within urban homes, one-fifth within public buildings, and two-fifths within rural area. Government office buildings and large-scale public buildings are the dominant energy consumers in cities but their consumption can be largely cut back through improving efficiency. At present, energy management in the large public sector is a particular priority in China. Firstly, this paper discusses how the large public building is defined, and then energy performance in large public buildings is studied. The paper also describes barriers to improving energy efficiency of large public buildings in China and examines the energy-efficiency policies and programs adopted in United States and European Union. The energy-efficiency supervision (EES) systems developed to improve operation and maintenance practices and promote energy efficiency in large public sector are described. The benefits of the EES systems are finally summarized.

  5. CO{sub 2} emissions, energy consumption and economic growth in BRIC countries

    Energy Technology Data Exchange (ETDEWEB)

    Pao, Hsiao-Tien; Tsai, Chung-Ming [Department of Management Science, National Chiao Tung University (China)

    2010-12-15

    This paper examines dynamic causal relationships between pollutant emissions, energy consumption and output for a panel of BRIC countries over the period 1971-2005, except for Russia (1990-2005). In long-run equilibrium energy consumption has a positive and statistically significant impact on emissions, while real output exhibits the inverted U-shape pattern associated with the Environmental Kuznets Curve (EKC) hypothesis with the threshold income of 5.393 (in logarithms). In the short term, changes in emissions are driven mostly by the error correction term and short term energy consumption shocks, as opposed to short term output shocks for each country. Short-term deviations from the long term equilibrium take from 0.770 years (Russia) to 5.848 years (Brazil) to correct. The panel causality results indicate there are energy consumption-emissions bidirectional strong causality and energy consumption-output bidirectional long-run causality, along with unidirectional both strong and short-run causalities from emissions and energy consumption, respectively, to output. Overall, in order to reduce emissions and not to adversely affect economic growth, increasing both energy supply investment and energy efficiency, and stepping up energy conservation policies to reduce unnecessary wastage of energy can be initiated for energy-dependent BRIC countries. (author)

  6. The impact of relative energy prices on industrial energy consumption in China: a consideration of inflation costs.

    Science.gov (United States)

    He, Lingyun; Ding, Zhihua; Yin, Fang; Wu, Meng

    2016-01-01

    Significant effort has been exerted on the study of economic variables such as absolute energy prices to understand energy consumption and economic growth. However, this approach ignores general inflation effects, whereby the prices of baskets of goods may rise or fall at different rates from those of energy prices. Thus, it may be the relative energy price, not the absolute energy price, that has most important effects on energy consumption. To test this hypothesis, we introduce a new explanatory variable, the domestic relative energy price, which we define as "the ratio of domestic energy prices to the general price level of an economy," and we test the explanatory power of this new variable. Thus, this paper explores the relationship between relative energy prices and energy consumption in China from the perspective of inflation costs over the period from 1988 to 2012. The direct, regulatory and time-varying effects are captured using methods such as ridge regression and the state-space model. The direct impacts of relative energy prices on total energy consumption and intensity are -0.337 and -0.250, respectively; the effects of comprehensive regulation on energy consumption through the economic structure and the energy structure are -0.144 and -0.148, respectively; and the depressing and upward effects of rising and falling energy prices on energy consumption are 0.3520 and 0.3564, respectively. When economic growth and the energy price level were stable, inflation persisted; thus, rising energy prices benefitted both the economy and the environment. Our analysis is important for policy makers to establish effective energy-pricing policies that ensure both energy conservation and the stability of the pricing system.

  7. Energy consumption and economic growth in China: A multivariate causality test

    International Nuclear Information System (INIS)

    Wang Yuan; Wang Yichen; Zhou Jing; Zhu Xiaodong; Lu Genfa

    2011-01-01

    This study takes a fresh look at the direction of causality between energy consumption and economic growth in China during the period from 1972 to 2006, using a multivariate cointegration approach. Given the weakness associated with the bivariate causality framework, the current study performs a multivariate causality framework by incorporating capital and labor variables into the model between energy consumption and economic growth based on neo-classical aggregate production theory. Using the recently developed autoregressive distributed lag (ARDL) bounds testing approach, a long-run equilibrium cointegration relationship has been found to exist between economic growth and the explanatory variables: energy consumption, capital and employment. Empirical results reveal that the long-run parameter of energy consumption on economic growth in China is approximately 0.15, through a long-run static solution of the estimated ARDL model, and that for the short-run is approximately 0.12 by the error correction model. The study also indicates the existence of short-run and long-run causality running from energy consumption, capital and employment to economic growth. The estimation results imply that energy serves as an important source of economic growth, thus more vigorous energy use and economic development strategies should be adopted for China. - Highlights: → Cointegration is only present when real GDP is the dependent variable. →The long-run causality running from energy consumption to economic growth. →China is an energy dependent economy.

  8. Causal relationship between nuclear energy consumption and economic growth: A multi-country analysis

    International Nuclear Information System (INIS)

    Yoo, Seung-Hoon; Ku, Se-Ju

    2009-01-01

    This paper attempts to investigate the causal relationship between nuclear energy consumption and economic growth using the data from six countries among 20 countries that have used nuclear energy for more than 20 years until 2005. To this end, time-series techniques including the tests for unit roots, co-integration, and Granger-causality are employed to Argentina, France, Germany, Korea, Pakistan, and Switzerland. The main conclusion is that the causal relationship between nuclear energy consumption and economic growth is not uniform across countries. In the case of Switzerland, there exists bi-directional causality between nuclear energy consumption and economic growth. This means that an increase in nuclear energy consumption directly affects economic growth and that economic growth also stimulates further nuclear energy consumption. The uni-directional causality runs from economic growth to nuclear energy consumption without any feedback effects in France and Pakistan, and from nuclear energy to economic growth in Korea. However, any causality between nuclear energy consumption and economic growth in Argentina and Germany is not detected.

  9. On the determinants of renewable energy consumption: International Evidence

    OpenAIRE

    Anis Omri; Duc Khuong Nguyen

    2014-01-01

    Over recent years, renewable energy sources have emerged as an important component of world energy consumption. Little is however known about the determinants of renewable energy consumption. This article tackles this issue for a global panel consisting of 64 countries over the period 1990-2011 by using a dynamic system- GMM panel model. We also consider three homogeneous subpanels which are constructed based on the income level of sample countries (high-, middle-, and low-income subpanels). ...

  10. Analysis of energy consumption in lowland rice-based cropping system of Malaysia

    Directory of Open Access Journals (Sweden)

    Chan Chee Wan

    2005-07-01

    Full Text Available Sufficient energy is needed in the right form and at the right time for adequate crop production. One way to optimize energy consumption in agriculture is to determine the efficiency of methods and techniques used. With the current increase in world population, energy consumption needs effective planning. That is, the input elements need to be identified in order to prescribe the most efficient methods for controlling them. This study was undertaken in order to determine the direct and indirect energy consumption of field operations in a lowland rice production system of Malaysia. Field time, fuel and other energy requirements were measured for the tillage, planting, fertilizing, spraying and harvesting operations performed. Energy analysis carried out revealed the highest average operational energy consumption was for tillage (1747.33 MJ ha-1 which accounted for about 48.6% of the total operational energy consumption (3595.87 MJ ha-1, followed by harvesting (1171.44 MJ ha-1, 32.6% and planting (562.91 MJ ha-1, 15.7%. Fertilizing and pesticide spraying did not make any significant contributions to the operational energy consumption. Based on energy sources, fuel was the main consumer of direct energy with 2717.82 MJha-1 (22.2%, and fertilizer recording the highest indirect energy consumption of 7721.03 MJha-1 (63.2%. Human labour, pesticides, seeds and indirect energy for machinery use had marginal importance, contributing only 0.2%, 0.6%, 6.8% and 6.9%, respectively to the total energy consumption (12225.97 MJha-1. Average grain yield was 6470.8 kg ha-1, representing energy output of 108321.75 MJha-1, that is, 96095.78 MJ net energy gain or 8.86 MJ output per MJ input. Energy input per kilogram grain yield was 1.89 MJkg-1. The results of the study indicate energy gain in the lowland rice production system of Malaysia.

  11. Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach

    International Nuclear Information System (INIS)

    Odhiambo, Nicholas M.

    2009-01-01

    In this paper, we examine the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971-2006. Unlike the majority of the previous studies, we employ the newly developed autoregressive distributed lag (ARDL)-bounds testing approach by Pesaran et al. [2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16, 289-326] to examine this linkage. We also use two proxies of energy consumption, namely total energy consumption per capita and electricity consumption per capita. The results of the bounds test show that there is a stable long-run relationship between each of the proxies of energy consumption and economic growth. The results of the causality test, on the other hand, show that there is a unidirectional causal flow from total energy consumption to economic growth and a prima-facie causal flow from electricity consumption to economic growth. Overall, the study finds that energy consumption spurs economic growth in Tanzania

  12. Energy consumption and economic growth nexus in Tanzania. An ARDL bounds testing approach

    Energy Technology Data Exchange (ETDEWEB)

    Odhiambo, Nicholas M. [Economics Department, University of South Africa (UNISA), P.O. Box 392, UNISA, 0003, Pretoria (South Africa)

    2009-02-15

    In this paper, we examine the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971-2006. Unlike the majority of the previous studies, we employ the newly developed autoregressive distributed lag (ARDL)-bounds testing approach by Pesaran et al. [2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16, 289-326] to examine this linkage. We also use two proxies of energy consumption, namely total energy consumption per capita and electricity consumption per capita. The results of the bounds test show that there is a stable long-run relationship between each of the proxies of energy consumption and economic growth. The results of the causality test, on the other hand, show that there is a unidirectional causal flow from total energy consumption to economic growth and a prima-facie causal flow from electricity consumption to economic growth. Overall, the study finds that energy consumption spurs economic growth in Tanzania. (author)

  13. Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach

    Energy Technology Data Exchange (ETDEWEB)

    Odhiambo, Nicholas M. [Economics Department, University of South Africa (UNISA), P.O. Box 392, UNISA, 0003, Pretoria (South Africa)], E-mail: nmbaya99@yahoo.com

    2009-02-15

    In this paper, we examine the intertemporal causal relationship between energy consumption and economic growth in Tanzania during the period of 1971-2006. Unlike the majority of the previous studies, we employ the newly developed autoregressive distributed lag (ARDL)-bounds testing approach by Pesaran et al. [2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16, 289-326] to examine this linkage. We also use two proxies of energy consumption, namely total energy consumption per capita and electricity consumption per capita. The results of the bounds test show that there is a stable long-run relationship between each of the proxies of energy consumption and economic growth. The results of the causality test, on the other hand, show that there is a unidirectional causal flow from total energy consumption to economic growth and a prima-facie causal flow from electricity consumption to economic growth. Overall, the study finds that energy consumption spurs economic growth in Tanzania.

  14. Energy consumption - a limited quantity in the debate about energy policies

    International Nuclear Information System (INIS)

    Beinhauer, H.

    1990-01-01

    The limits to the availability of energy have been pushed out again and again, in the past decade even by a considerable measure. Thus, the proven energy reserves of the world are nearly a third above the levels discussed ten years ago, although nearly 70 billion tons of coal equivalent have been consumed in the meantime. However, a very different limit in energy consumption has come dangerously close: The limit to the capacity of nature to absorb the pollutants released in the combustion of fossil energy resources, such as CO 2 , NO x , or SO 2 . Nobody can seriously believe that an even larger share of the growing world population will be prepared in the future to be satisfied with an even smaller share in the world energy consumption. Against this background, the need is becoming apparent to make use of nuclear power in the industrialized countries as much as possible. (orig.)

  15. Towards low energy consumption in Finland - An ecological change in economy

    International Nuclear Information System (INIS)

    Sairinen, R.; Jaervilehto, P.

    1994-01-01

    Per capita energy consumption in Finland is twice the OECD average. Could Finland become a society with low energy consumption? What would that mean and why we need lower energy consumption and higher efficiency? These are questions dealt with in this article. The authors suggest that ecological goals could and should be considered in connection with the necessary changes in the economic structures resulting from the present economic depression. (orig.)

  16. Evolution of energy consumption in Japan after Fukushima. 2010-2012

    International Nuclear Information System (INIS)

    Laponche, Bernard

    2013-01-01

    This note presents and comments the evolution of the energy system in Japan between 2010 and 2012 in order to analyse the consequences of the sudden decrease of nuclear electricity production due to the Fukushima accident. In fact, the evolution since 1990 is studied. The evolution of general economic figures (population, GDP, GDP per inhabitant) is firstly overviewed, and then the evolution of final energy consumption (as a whole and per inhabitant, and per sector), the evolution of final electricity consumption (as a whole, per sector), the evolution of electricity production (as a whole, per sector, per source of energy), the evolution of primary energy consumption (as a whole, per inhabitant, per source of energy). The development of renewable energies is briefly discussed. Then several indicators and impacts are highlighted and discussed: primary and final energy intensity, emissions of carbon dioxide (as a whole, by the energy sector), and costs and prices of imported energies

  17. Shaping a sustainable energy future for India: Management challenges

    International Nuclear Information System (INIS)

    Bhattacharyya, Subhes C.

    2010-01-01

    Most of the studies on the Indian energy sector focus on the possible future scenarios of Indian energy system development without considering the management dimension to the problem-how to ensure a smooth transition to reach the desired future state. The purpose of this paper is to highlight some sector management concerns to a sustainable energy future in the country. The paper follows a deductive approach and reviews the present status and possible future energy outlooks from the existing literature. This is followed by a strategy outline to achieve long-term energy sustainability. Management challenges on the way to such a sustainable future are finally presented. The paper finds that the aspiration of becoming an economic powerhouse and the need to eradicate poverty will necessarily mean an increase in energy consumption unless a decoupling of energy and GDP growth is achieved. Consequently, the energy future of the country is eminently unsustainable. A strategy focussing on demand reduction, enhanced access, use of local resources and better management practices is proposed here. However, a sustainable path faces a number of challenges from the management and policy perspectives.

  18. Empirical assessment of the Hellenic non-residential building stock, energy consumption, emissions and potential energy savings

    International Nuclear Information System (INIS)

    Gaglia, Athina G.; Balaras, Constantinos A.; Mirasgedis, Sevastianos; Georgopoulou, Elena; Sarafidis, Yiannis; Lalas, Dimitris P.

    2007-01-01

    Comprehensive information and detailed data for the non-residential (NR) building stock is rather limited, although it is the fastest growing energy demand sector. This paper elaborates the approach used to determine the potential energy conservation in the Hellenic NR building stock. A major obstacle that had to be overcome was the need to make suitable assumptions for missing detailed primary data. A qualitative and quantitative assessment of scattered national data resulted in a realistic assessment of the existing NR building stock and energy consumption. Different energy conservation scenarios and their impact on the reduction of CO 2 emissions were evaluated. Accordingly, the most effective energy conservation measures are: addition of thermal insulation of exposed external walls, primarily in hotels and hospitals; installation of energy efficient lamps; installation of solar collectors for sanitary hot water production, primarily in hotels and health care; installation of building management systems in office/commercial and hotel buildings; replacement of old inefficient boilers; and regular maintenance of central heating boilers

  19. Fuel consumption from vehicles of China until 2030 in energy scenarios

    International Nuclear Information System (INIS)

    Zhang Qingyu; Tian Weili; Zheng Yingyue; Zhang Lili

    2010-01-01

    Estimation of fuel (gasoline and diesel) consumption for vehicles in China under different long-term energy policy scenarios is presented here. The fuel economy of different vehicle types is subject to variation of government regulations; hence the fuel consumption of passenger cars (PCs), light trucks (Lts), heavy trucks (Hts), buses and motor cycles (MCs) are calculated with respect to (i) the number of vehicles, (ii) distance traveled, and (iii) fuel economy. On the other hand, the consumption rate of alternative energy sources (i.e. ethanol, methanol, biomass-diesel and CNG) is not evaluated here. The number of vehicles is evaluated using the economic elastic coefficient method, relating to per capita gross domestic product (GDP) from 1997 to 2007. The Long-range Energy Alternatives Planning (LEAP) system software is employed to develop a simple model to project fuel consumption in China until 2030 under these scenarios. Three energy consumption decrease scenarios are designed to estimate the reduction of fuel consumption: (i) 'business as usual' (BAU); (ii) 'advanced fuel economy' (AFE); and (iii) 'alternative energy replacement' (AER). It is shown that fuel consumption is predicted to reach 992.28 Mtoe (million tons oil equivalent) with the BAU scenario by 2030. In the AFE and AER scenarios, fuel consumption is predicted to be 734.68 and 600.36 Mtoe, respectively, by 2030. In the AER scenario, fuel consumption in 2030 will be reduced by 391.92 (39.50%) and 134.29 (18.28%) Mtoe in comparison to the BAU and AFE scenarios, respectively. In conclusion, our models indicate that the energy conservation policies introduced by governmental institutions are potentially viable, as long as they are effectively implemented.

  20. Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors

    International Nuclear Information System (INIS)

    Azadeh, A.; Ghaderi, S.F.; Sohrabkhani, S.

    2008-01-01

    This paper presents an artificial neural network (ANN) approach for annual electricity consumption in high energy consumption industrial sectors. Chemicals, basic metals and non-metal minerals industries are defined as high energy consuming industries. It is claimed that, due to high fluctuations of energy consumption in high energy consumption industries, conventional regression models do not forecast energy consumption correctly and precisely. Although ANNs have been typically used to forecast short term consumptions, this paper shows that it is a more precise approach to forecast annual consumption in such industries. Furthermore, the ANN approach based on a supervised multi-layer perceptron (MLP) is used to show it can estimate the annual consumption with less error. Actual data from high energy consuming (intensive) industries in Iran from 1979 to 2003 is used to illustrate the applicability of the ANN approach. This study shows the advantage of the ANN approach through analysis of variance (ANOVA). Furthermore, the ANN forecast is compared with actual data and the conventional regression model through ANOVA to show its superiority. This is the first study to present an algorithm based on the ANN and ANOVA for forecasting long term electricity consumption in high energy consuming industries

  1. Energy consumption and economic growth in New Zealand: Results of trivariate and multivariate models

    International Nuclear Information System (INIS)

    Bartleet, Matthew; Gounder, Rukmani

    2010-01-01

    This study examines the energy consumption-growth nexus in New Zealand. Causal linkages between energy and macroeconomic variables are investigated using trivariate demand-side and multivariate production models. Long run and short run relationships are estimated for the period 1960-2004. The estimated results of demand model reveal a long run relationship between energy consumption, real GDP and energy prices. The short run results indicate that real GDP Granger-causes energy consumption without feedback, consistent with the proposition that energy demand is a derived demand. Energy prices are found to be significant for energy consumption outcomes. Production model results indicate a long run relationship between real GDP, energy consumption and employment. The Granger-causality is found from real GDP to energy consumption, providing additional evidence to support the neoclassical proposition that energy consumption in New Zealand is fundamentally driven by economic activities. Inclusion of capital in the multivariate production model shows short run causality from capital to energy consumption. Also, changes in real GDP and employment have significant predictive power for changes in real capital.

  2. Evaluation of energy consumption in different drying methods

    Energy Technology Data Exchange (ETDEWEB)

    Motevali, Ali; Minaei, Saeid; Khoshtagaza, Mohammad Hadi [Department of Agricultural Machinery Engineering, Agricultural Faculty, Tarbiat Modares University, Tehran 14115-111 (Iran, Islamic Republic of)

    2011-02-15

    This study was conducted to evaluate energy consumption in various drying systems including hot-air convection, use of microwave pretreatment with convection dryer, microwave drying, vacuum drying and infrared drying. Tests were conducted using pomegranate arils under various experimental conditions as follows. In convection dryer at six temperature levels (45, 50, 55, 60, 65 and 70 C) and three air velocity levels (0.5, 1 and 1.5 m/s) at three pretreatments of control, 100 W microwave pretreatment for 20 min and 200 W microwave pretreatment for 10 min. Experiments in the microwave dryer were done at three power levels of 100, 200 and 300 W and in vacuum dryer at five temperature levels (50, 60, 70, 80, and 90 C) under 250 kPa pressure. For infrared drying, there were four air velocity levels (0.3, 0.5, 0.7 and 1 m/s) and three illumination levels (0.22, 0.31 and 0.49 W/cm{sup 2}). Experimental results showed that minimum and maximum energy consumption in pomegranate drying were associated with microwave and vacuum dryers, respectively. The use of microwave pretreatment in drying pomegranate arils in hot air dryer decreased drying time and energy consumption in comparison with pure convection drying. In infrared drying, it was found that drying time increased with air velocity which resulted in increased energy consumption. (author)

  3. Evaluation of energy consumption in different drying methods

    International Nuclear Information System (INIS)

    Motevali, Ali; Minaei, Saeid; Khoshtagaza, Mohammad Hadi

    2011-01-01

    This study was conducted to evaluate energy consumption in various drying systems including hot-air convection, use of microwave pretreatment with convection dryer, microwave drying, vacuum drying and infrared drying. Tests were conducted using pomegranate arils under various experimental conditions as follows. In convection dryer at six temperature levels (45, 50, 55, 60, 65 and 70 o C) and three air velocity levels (0.5, 1 and 1.5 m/s) at three pretreatments of control, 100 W microwave pretreatment for 20 min and 200 W microwave pretreatment for 10 min. Experiments in the microwave dryer were done at three power levels of 100, 200 and 300 W and in vacuum dryer at five temperature levels (50, 60, 70, 80, and 90 o C) under 250 kPa pressure. For infrared drying, there were four air velocity levels (0.3, 0.5, 0.7 and 1 m/s) and three illumination levels (0.22, 0.31 and 0.49 W/cm 2 ). Experimental results showed that minimum and maximum energy consumption in pomegranate drying were associated with microwave and vacuum dryers, respectively. The use of microwave pretreatment in drying pomegranate arils in hot air dryer decreased drying time and energy consumption in comparison with pure convection drying. In infrared drying, it was found that drying time increased with air velocity which resulted in increased energy consumption.

  4. Commercialisation of Renewable Energy Technologies for Various Consumption Needs

    Energy Technology Data Exchange (ETDEWEB)

    Jiahua Pan [Chinese Academy of Social Sciences (China)

    2005-12-15

    Can renewable energy technologies meet various consumption needs? It may be argued that without commercial viability, renewable energy technologies cannot compete with conventional energy technologies in this respect. The following issues are to be examined in this paper: (1) the types of renewable energy technologies needed in relation to consumption needs; (2) whether these technologies are commercially viable; (3) the extent to which these technologies can supply the energy needed for industrialisation and economic development in developing countries; (4) policy implications of commercialising renewable energy technologies; and, (5) the role of Asia-Europe cooperation on technological development, diffusion and transfer. The evaluation will concentrate on market potential rather than technological potential, as some of the renewable energy technologies are yet to be commercial. This examination will be made in the context of the specific consumption needs of a major developing country like China in its current period of high economic growth rates and rapid industrialisation. Asia-Europe co-operation on renewable energy technologies can speed up the process of commercialisation through demonstration, direct investment, joint venture, Build-Operate-Transfer (BOT), financial aid and capacity building (both technological know-how and institutional)

  5. Liberalising energy markets: Cost management using measurement data

    International Nuclear Information System (INIS)

    Girsberger, H.

    2000-01-01

    This article looks at the various factors involved in assuring good cost management and customer relations in the liberalised energy market such as price levels, additional services and added value for the customer. The additional information required by the utilities to be able to implement such customer-oriented strategies is considered and ways of collecting and processing the data on energy consumption, customer profiles and trends are described. The further analysis of the data and the compilation of reports for management, marketing, engineering and quality assurance departments are discussed, as are the information technology and equipment interfaces required to do this

  6. Edificio project: A neuro-fuzzy approach to building energy management systems

    NARCIS (Netherlands)

    Galata, A.; Bakker, L.G.; Morel, N.; Michel, J.B.; Karki, S.; Joergl, H.P.; Franceschini, A.; Martinez, A.

    1998-01-01

    It is well known that building installations for indoor climate control, consume a substantial part of the total energy consumption and that at present these installations use much more energy than required due to inadequate settings and poor control and management strategies. European building

  7. Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China

    International Nuclear Information System (INIS)

    Liu Wei; Li Hong

    2011-01-01

    Fossil energy subsidies reform would be an effective way to improve the energy consumption structure; however, the reform needs to be assessed comprehensively beforehand as it would exert uncertain impacts on economy, society and environment. In this paper, we use price-gap approach to estimate the fossil energy subsidies of China, then establish CGE model that contains pollutant emissions accounts and CO 2 emissions account to stimulate the fossil energy subsidies reform under different scenarios, and the environmental economic analysis concept is introduced to monetize the pollutant reduction benefits. Furthermore, we analyze the possibility and scope of improving the energy consumption structure from the perspective of technical and economic analysis. Analytical results show that the energy consumption structure could be improved by different extent by removing coal or oil subsidies, while the economic and social indexes will be influenced distinctively. Meanwhile, the effects of cutting coal subsidies are more feasible than that of cutting oil subsidies overall. It is recommended to implement fossil energy subsidies gradually, cut the coal first and then cut oil subsidies successively. - Research highlights: → This paper estimates the scale of fossil energy subsidies of China in 2007 with price-gap approach. → We establish a Social Accounting Matrix and a CGE model extended with pollutant accounts. → We simulate the impacts of removing or cutting subsidies under three different scenarios. → We discuss the possibility and potential of improving energy consumption structure.

  8. A novel cost based model for energy consumption in cloud computing.

    Science.gov (United States)

    Horri, A; Dastghaibyfard, Gh

    2015-01-01

    Cloud data centers consume enormous amounts of electrical energy. To support green cloud computing, providers also need to minimize cloud infrastructure energy consumption while conducting the QoS. In this study, for cloud environments an energy consumption model is proposed for time-shared policy in virtualization layer. The cost and energy usage of time-shared policy were modeled in the CloudSim simulator based upon the results obtained from the real system and then proposed model was evaluated by different scenarios. In the proposed model, the cache interference costs were considered. These costs were based upon the size of data. The proposed model was implemented in the CloudSim simulator and the related simulation results indicate that the energy consumption may be considerable and that it can vary with different parameters such as the quantum parameter, data size, and the number of VMs on a host. Measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment. Also, measured results validate the model and demonstrate that there is a tradeoff between energy consumption and QoS in the cloud environment.

  9. Impact of the Surrounding Built Environment on Energy Consumption in Mixed-Use Building

    Directory of Open Access Journals (Sweden)

    Young-Eun Woo

    2018-03-01

    Full Text Available While a mixture of residential and non-residential uses in urban development has advantages in reducing transportation energy consumption and improving efficiency of land utilization, the patterns of energy consumption in mixed-use buildings are largely unknown. To understand associations between the built environment and energy consumption and to find effective strategies for energy saving, this study aims to examine how the gas and electricity energy consumption of mixed-use properties is influenced by the characteristics of the immediate surroundings of the building as well as by the building’s attributes. The sample for this study is 22,109 mixed-use buildings in Seoul, Korea and the main source of outcome is electricity and gas energy consumption data retrieved from the open system of building data in 2015 and 2016. The regression results showed that a higher proportion of non-residential uses in mixed-use buildings was positively associated with higher electricity consumption overall but that it reduced gas energy use during the winter. In particular, increased restaurant and service use significantly influenced electricity consumption in the buildings. With regard to surrounding built environment, higher impervious surfaces and dense development near the buildings increased the electricity consumption of the buildings but it reduced gas energy consumption. Our results imply that, through the mediating effects of UHIs, the built environment characteristics of immediate surroundings may have indirect effects on energy consumption in mixed-use buildings.

  10. The Effects of Domestic Energy Consumption on Urban Development Using System Dynamics

    Science.gov (United States)

    Saryazdi, M. D.; Homaei, N.; Arjmand, A.

    2018-05-01

    In developed countries, people have learned to follow efficient consumption patterns, while in developing countries, such as Iran, these patterns are not well executed. A large amount of energy is almost consumed in buildings and houses and though the consumption patterns varies in different societies, various energy policies are required to meet the consumption challenges. So far, several papers and more than ten case studies have worked on the relationship between domestic energy consumption and urban development, however these researches did not analyzed the impact of energy consumption on urban development. Therefore, this paper attempts to examine the interactions between the energy consumption and urban development by using system dynamics as the most widely used methods for complex problems. The proposed approach demonstrates the interactions using causal loop and flow diagrams and finally, suitable strategies will be proposed for urban development through simulations of different scenarios.

  11. Measurement of power and energy consumption of a competition-mobile-robot

    Directory of Open Access Journals (Sweden)

    Tsung Tsing-Tshih

    2017-01-01

    Full Text Available Power and energy consumption are the two most important factors for successful operation; they also play important roles in performance identification. The measurement of power and energy consumption is a common test in the development process of a competition mobile robot. If the power of a competition mobile robot is not sufficient, the running time in the competition will be too long and winning the competition will not be possible. Thus, the power and energy consumption are basic and important measurement parameters for a competition mobile robot. In this paper, five types of hand-made competition mobile robots are successfully developed and their performances are measured. From the measurements, their powers and energy consumptions are evaluated and analyzed, respectively. The test results show large differences in the powers and energy consumptions of the five models, even though the same motors were used. The design and construction of the competition mobile robot are the key parameters that cause these huge differences. It is possible to develop the measurement techniques for power and energy consumption, quickly and precisely, to determine how to modify a competition mobile robot rapidly and efficiently to a condition optimal for a mobile robot competition.

  12. Analysis of variables that influence electric energy consumption in commercial buildings in Brazil

    Energy Technology Data Exchange (ETDEWEB)

    Carvalho, M.M.Q. [Technical Drawing Department, Fluminense Federal University, Niteroi, Rio de Janeiro (Brazil); Energy Planning Program, Alberto Luiz Coimbra Institute for Research and Graduate Studies in Engineering - COPPE, Federal University of Rio de Janeiro, Rio de Janeiro (Brazil); La Rovere, E.L. [Energy Planning Program, Alberto Luiz Coimbra Institute for Research and Graduate Studies in Engineering - COPPE, Federal University of Rio de Janeiro, Rio de Janeiro (Brazil); Goncalves, A.C.M. [Program for Graduate Studies in Architecture, School of Architecture and Urbanism, Federal University of Rio de Janeiro, Rio de Janeiro (Brazil)

    2010-12-15

    Air conditioning systems in commercial buildings in Brazil are responsible for about 70% share of their energy consumption. According to BEN 2009 (The Brazilian Energy Balance), energy consumption in the residential, commercial and public sectors, where most buildings are found, represents 9.3% of the final energy consumption in Brazil. This paper aims to examine design factors that could contribute to greater reductions of electric energy consumption in commercial buildings, with emphasis on air conditioning. Simulations were carried out using shades and different types of glass, walls, flooring and roofing. The VisualDOE 2.61 was used as a simulation tool for calculating energy consumption of the analyzed building. This paper shows that the energy performance of the building is considerably influenced by the facade protection and shows, through tables, the impact that decisions related to the top-level and facades have on the energy consumption of the building. The authors concluded that the results confirm the importance of taking energy use into account in the very first design stages of the project, since appropriate choices of types of glass, external shading and envelope materials have a significant impact on energy consumption. (author)

  13. Optimal energy management of HEVs with hybrid storage system

    International Nuclear Information System (INIS)

    Vinot, E.; Trigui, R.

    2013-01-01

    Highlights: • A battery and ultra-capacitor system for parallel hybrid vehicle is considered. • Optimal management using Pontryagin’s minimum principle is developed. • Battery stress limitation is taken into account by means of RMS current. • Rule based management approaching the optimal control is proposed. • Comparison between rule based and optimal management are proposed using Pareto front. - Abstract: Energy storage systems are a key point in the design and development of electric and hybrid vehicles. In order to reduce the battery size and its current stress, a hybrid storage system, where a battery is coupled with an electrical double-layer capacitor (EDLC) is considered in this paper. The energy management of such a configuration is not obvious and the optimal operation concerning the energy consumption and battery RMS current has to be identified. Most of the past work on the optimal energy management of HEVs only considered one additional power source. In this paper, the control of a hybrid vehicle with a hybrid storage system (HSS), where two additional power sources are used, is presented. Applying the Pontryagin’s minimum principle, an optimal energy management strategy is found and compared to a rule-based parameterized control strategy. Simulation results are shown and discussed. Applied on a small compact car, optimal and ruled-based methods show that gains of fuel consumption and/or a battery RMS current higher than 15% may be obtained. The paper also proves that a well tuned rule-based algorithm presents rather good performances when compared to the optimal strategy and remains relevant for different driving cycles. This rule-based algorithm may easily be implemented in a vehicle prototype or in an HIL test bench

  14. Intelligent energy management control of vehicle air conditioning system coupled with engine

    International Nuclear Information System (INIS)

    Khayyam, Hamid; Abawajy, Jemal; Jazar, Reza N.

    2012-01-01

    Vehicle Air Conditioning (AC) systems consist of an engine powered compressor activated by an electrical clutch. The AC system imposes an extra load to the vehicle's engine increasing the vehicle fuel consumption and emissions. Energy management control of the vehicle air conditioning is a nonlinear dynamic system, influenced by uncertain disturbances. In addition, the vehicle energy management control system interacts with different complex systems, such as engine, air conditioning system, environment, and driver, to deliver fuel consumption improvements. In this paper, we describe the energy management control of vehicle AC system coupled with vehicle engine through an intelligent control design. The Intelligent Energy Management Control (IEMC) system presented in this paper includes an intelligent algorithm which uses five exterior units and three integrated fuzzy controllers to produce desirable internal temperature and air quality, improved fuel consumption, low emission, and smooth driving. The three fuzzy controllers include: (i) a fuzzy cruise controller to adapt vehicle cruise speed via prediction of the road ahead using a Look-Ahead system, (ii) a fuzzy air conditioning controller to produce desirable temperature and air quality inside vehicle cabin room via a road information system, and (iii) a fuzzy engine controller to generate the required engine torque to move the vehicle smoothly on the road. We optimised the integrated operation of the air conditioning and the engine under various driving patterns and performed three simulations. Results show that the proposed IEMC system developed based on Fuzzy Air Conditioning Controller with Look-Ahead (FAC-LA) method is a more efficient controller for vehicle air conditioning system than the previously developed Coordinated Energy Management Systems (CEMS). - Highlights: ► AC interacts: vehicle, environment, driver components, and the interrelationships between them. ► Intelligent AC algorithm which uses

  15. Expert assessment of the current state of the energy management system in the company

    Science.gov (United States)

    Minnullina, Anna; Abdrazakov, Rais

    2017-10-01

    The authors’ expert assessment of the current state of the energy management system in the company is proposed in the article. The experts are invited to assess the status of the energy management system in the following categories: energy policy, organizational structure, training, motivation, control, communication, investment, and energy consumption culture. For the purposes of interpretation of the results of the expert evaluation obtained, a gradation based on a possible range of values is proposed. The expert evaluation allows representing the status of the energy management system in general and at each of its individual levels, which makes it possible to identify the problem areas more accurately. To confirm the applied nature of the proposed methodology, the authors assessed the opinions of 8 experts, employed by the road construction company of the Tyumen Region and related in one way or another to the process of energy consumption in the company due to the nature of their activities.

  16. Optimal selection among different domestic energy consumption patterns based on energy and exergy analysis

    International Nuclear Information System (INIS)

    Lu, S.; Wu, J.Y.

    2010-01-01

    In China market, people have many choices for air conditioning of their apartments, including heat-pump systems or gas-fired boilers for heating and air conditioners for cooling. Domestic hot water is usually provided by domestic water heaters making use of electricity or natural gas, which are known for their great energy costs. These systems consume much energy and increase the total cost of required domestic energy. A novel system combining heat pump with water heater is proposed in this paper, and it is named domestic energy system. The system can realize the provision of space heating, cooling and domestic hot water throughout a year. Based on different types of air conditioners, space heating equipments and water heaters, domestic energy consumption patterns are concluded to be eight categories. This study describes and compares the eight domestic energy consumption patterns by economic analysis and prime energy analysis method. Results show that the domestic energy system can provide good economy and save energy significantly. Furthermore, exergy analysis method is employed to compare the exergy efficiencies of different energy consumption systems. The results show that the domestic energy system has the highest energy conversion efficiency and can make remarkable contribution to social energy saving.

  17. Dietary patterns of obese high school girls: snack consumption and energy intake.

    Science.gov (United States)

    Yoon, Jin-Sook; Lee, Nan-Jo

    2010-10-01

    In order to develop an obesity management program for teenagers, we compared obese and non-obese girls attending high schools in terms of their dietary practices related to snack consumption. Dietary records were collected for 7 days. No significant differences were found for the average daily energy intake between obese and non-obese girls. However, the highest energy intake was greater for obese girls while not much difference was found for the lowest amount of energy intake. Obese girls had significantly lower intakes in calcium (P snack (594.1 ± 312.1kcal) was significantly higher for obese girls than for non-obese girls (360.1 ± 173.1kcal) (P snack and total daily energy intake (r = 0.34 P obese girls. In case of dietary behaviors, obese adolescent girls consumed significantly greater number of items for snacks and fewer foods for regular meals compared to non-obese girls (P obesity management programs for adolescents should focus on providing strategies to reduce snack through enhancing balanced regular meals.

  18. Energy drink consumption and impact on caffeine risk.

    Science.gov (United States)

    Thomson, Barbara M; Campbell, Donald M; Cressey, Peter; Egan, Ursula; Horn, Beverley

    2014-01-01

    The impact of caffeine from energy drinks occurs against a background exposure from naturally occurring caffeine (coffee, tea, cocoa and foods containing these ingredients) and caffeinated beverages (kola-type soft drinks). Background caffeine exposure, excluding energy drinks, was assessed for six New Zealand population groups aged 15 years and over (n = 4503) by combining concentration data for 53 caffeine-containing foods with consumption information from the 2008/09 New Zealand Adult Nutrition Survey (ANS). Caffeine exposure for those who consumed energy drinks (n = 138) was similarly assessed, with inclusion of energy drinks. Forty-seven energy drink products were identified on the New Zealand market in 2010. Product volumes ranged from 30 to 600 ml per unit, resulting in exposures of 10-300 mg caffeine per retail unit consumed. A small percentage, 3.1%, of New Zealanders reported consuming energy drinks, with most energy drink consumers (110/138) drinking one serving per 24 h. The maximum number of energy drinks consumed per 24 h was 14 (total caffeine of 390 mg). A high degree of brand loyalty was evident. Since only a minor proportion of New Zealanders reported consuming energy drinks, a greater number of New Zealanders exceeded a potentially adverse effect level (AEL) of 3 mg kg(-1) bw day(-1) for caffeine from caffeine-containing foods than from energy drinks. Energy drink consumption is not a risk at a population level because of the low prevalence of consumption. At an individual level, however, teenagers, adults (20-64 years) and females (16-44 years) were more likely to exceed the AEL by consuming energy drinks in combination with caffeine-containing foods.

  19. Influence of raw material properties on energy consumption during briquetting process

    Directory of Open Access Journals (Sweden)

    Ivanova Tatiana

    2018-01-01

    Full Text Available Biomass is doubtless a very significant source of renewable energy being worldwide abundant with high energy potential. This paper deals with assessment energy consumption at especially grinding and briquetting processes, which should result in essential economy of energy at solid biofuel production. Various types of raw materials were used at the experiment such as hemp (Cannabis sativa L. biomass, two species of Miscanthus (Miscanthus sinensis, Miscanthus x gigantheus and apple wood biomass. These materials were dried, grinded and pressed by piston press having pressing chamber diameter of 65 mm. Materials were grinded into three fractions (4 mm, 8 mm and 12 mm. Material throughput (kg.h-1 and energy consumption (kWh.t-1 were registered. As to results: the highest throughput at both grinding cases as well as briquetting was found at apple wood biomass; however the energy consumption during briquetting of apple wood was relatively high. The worst results concerning throughput and energy consumption (especially at briquetting were found at hemp biomass. Nevertheless, briquettes made of hemp had the best mechanical durability. Both Miscunthus species (herbaceous biomass have very similar parameters and showed quite good relation between throughput and energy consumption at the used machines.

  20. Energy Efficiency Improvement and Cost Saving Opportunities for the Pharmaceutical Industry. An ENERGY STAR Guide for Energy and Plant Managers

    Energy Technology Data Exchange (ETDEWEB)

    Galitsky, Christina; Galitsky, Christina; Chang, Sheng-chieh; Worrell, Ernst; Masanet, Eric

    2008-03-01

    The U.S. pharmaceutical industry consumes almost $1 billion in energy annually. Energy efficiency improvement is an important way to reduce these costs and to increase predictable earnings, especially in times of high energy price volatility. There are a variety of opportunities available at individual plants in the U.S. pharmaceutical industry to reduce energy consumption in a cost-effective manner. This Energy Guide discusses energy efficiency practices and energy efficient technologies that can be implemented at the component, process, system, and organizational levels. A discussion of the trends, structure, and energy consumption characteristics of the U.S. pharmaceutical industry is provided along with a description of the major process steps in the pharmaceutical manufacturing process. Expected savings in energy and energy-related costs are given for many energy efficiency measures, based on case study data from real-world applications in pharmaceutical and related facilities worldwide. Typical measure payback periods and references to further information in the technical literature are also provided, when available. The information in this Energy Guide is intended to help energy and plant managers reduce energy consumption in a cost-effective manner while meeting regulatory requirements and maintaining the quality of products manufactured. At individual plants, further research on the economics of the measures?as well as their applicability to different production practices?is needed to assess potential implementation of selected technologies.

  1. A method for evaluating transport energy consumption in suburban areas

    International Nuclear Information System (INIS)

    Marique, Anne-Françoise; Reiter, Sigrid

    2012-01-01

    Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: ► The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. ► Home-to-work travels represent the most important part of calculated transport energy consumption. ► Energy savings can be achieved by reducing distances to travel through a good mix between activities at the

  2. Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010

    Directory of Open Access Journals (Sweden)

    Tharinya Supasa

    2017-12-01

    Full Text Available Since 1995, the residential sector has been a fast-growing energy consumption sector in Thailand. This sector contributes dramatically to the growth of Thailand’s electricity and oil demand. Our study analysed Thailand’s residential energy consumption characteristics and the seven underlying factors affecting the growth in energy use of five demographic regions using an energy input–output method. Embodied energy decomposition revealed that direct energy consumption accounted for approximately 30% of total residential energy use, whereas indirect energy consumption was at 70%. During the studied period, the growth in indirect energy use for all household groups was primarily the result of higher consumption of ‘commerce’, ‘air transport’, ‘manufacturing’, ‘food and beverages’ and ‘agriculture’ products. Moreover, each influencing driver contributes differently to each household’s growth in energy demand. The number of households was the leading factor that dominated the increases in residential energy use in the Greater Bangkok and Central regions. Growth in residential energy consumption in the Northern, Northeastern and Southern regions was strongly dominated by changes in income per capita. Consumption structure and using energy-efficient products had a moderate impact on all regions’ energy consumption. Thus, our findings provide additional energy-saving strategies to restrain further growth in residential energy demand.

  3. The role of income in energy consumption behaviour: Evidence from French households data

    International Nuclear Information System (INIS)

    Cayla, Jean-Michel; Maizi, Nadia; Marchand, Christophe

    2011-01-01

    The main purpose of this paper is to characterise quantitatively the impact of income on household energy consumption in the residential and transport sectors. Starting from the data collected in a paper survey, we analyse the extent of the constraint experienced by households in terms of equipment purchasing behaviour and daily energy consumption. This analysis shows that the least well-off households are particularly constrained since the share of their budget represented by these energy services is very large (15–25%), and this corresponds to a level of energy service well below that of the better-off households. The case of space-heating shows a factor of 2 in terms of level of comfort achieved between the extreme 10-percentiles. These households also face a strong capital constraint for equipment purchases. This leads either to a large increase in the required rate of return or to a reduction in the proportion of households that are prepared to replace their equipment earlier. The least well-off households are thus doubly constrained, since it is more difficult for them to invest. In our opinion, it is crucial to take into account this observation in the context of political measures aimed at reducing households’CO 2 emissions. - Highlights: ► Realisation of a survey to quantify the impact of income on energy consumption. ► There is a factor of 2 in the level of comfort achieved by extreme income households. ► Analysis of discount rates demanded by households according to income and end-use. ► Influence of income on intensity of use of energy services and energy management.

  4. The world energy consumption in 2001. Statistical yearbook ENERDATA 2002

    International Nuclear Information System (INIS)

    2002-01-01

    Statistical data on the world energy consumption are given to illustrate the following situation in 2001: the deceleration of the world economic growth and the high prices of oil slowed down the progression of the energy consumption: 0,7 % in 2001; stagnation of the gas and oil consumption and strong progression for coal and electricity in 2001; the deceleration for gas marks a strong inflection compared to the past trends. (A.L.B.)

  5. Energy management and cooperation in microgrids

    Science.gov (United States)

    Rahbar, Katayoun

    Microgrids are key components of future smart power grids, which integrate distributed renewable energy generators to efficiently serve the load demand locally. However, random and intermittent characteristics of renewable energy generations may hinder the reliable operation of microgrids. This thesis is thus devoted to investigating new strategies for microgrids to optimally manage their energy consumption, energy storage system (ESS) and cooperation in real time to achieve the reliable and cost-effective operation. This thesis starts with a single microgrid system. The optimal energy scheduling and ESS management policy is derived to minimize the energy cost of the microgrid resulting from drawing conventional energy from the main grid under both the off-line and online setups, where the renewable energy generation/load demand are assumed to be non-causally known and causally known at the microgrid, respectively. The proposed online algorithm is designed based on the optimal off-line solution and works under arbitrary (even unknown) realizations of future renewable energy generation/load demand. Therefore, it is more practically applicable as compared to solutions based on conventional techniques such as dynamic programming and stochastic programming that require the prior knowledge of renewable energy generation and load demand realizations/distributions. Next, for a group of microgrids that cooperate in energy management, we study efficient methods for sharing energy among them for both fully and partially cooperative scenarios, where microgrids are of common interests and self-interested, respectively. For the fully cooperative energy management, the off-line optimization problem is first formulated and optimally solved, where a distributed algorithm is proposed to minimize the total (sum) energy cost of microgrids. Inspired by the results obtained from the off-line optimization, efficient online algorithms are proposed for the real-time energy management

  6. Energy consumption and conservation, evaluation; Consommation et economies d'energie, un tour d'horizon

    Energy Technology Data Exchange (ETDEWEB)

    Acket, C

    2006-04-15

    The energy consumption is increasing of more than 1% each year. It is necessary to slow down this growth and much better to inverse it. Observing the main consumption posts, energy saving is possible at short dated for the residential sector and medium and long dated for the transports and the industry. Anyway the individual behaviors are essential. The author presents the situation for each posts, providing data on the energy consumption and saving and recommendations. (A.L.B.)

  7. Carbon dioxide emissions, output, and energy consumption categories in Algeria.

    Science.gov (United States)

    Amri, Fethi

    2017-06-01

    This study examines the relation between CO 2 emissions, income, non-renewable, and renewable energy consumption in Algeria during the period extending from 1980 to 2011. Our work gives particular attention to the validity of environmental Kuznets curve (EKC) hypothesis. The autoregressive distributed lag (ARDL) with break point method outcome demonstrates the positive effect of non-renewable type of energy on CO 2 emissions consumption. On the contrary, the results reveal an insignificant effect of renewable energy on environment improvement. Moreover, the results accept the existence of EKC hypothesis but the highest gross domestic product value in logarithm scale of our data is inferior to the estimated turning point. Consequently, policy-makers in Algeria should expand the ratio of renewable energy and should decrease the quota of non-renewable energy consumption.

  8. Energy consumption by gender in some European countries

    International Nuclear Information System (INIS)

    Raety, R.; Carlsson-Kanyama, A.

    2010-01-01

    Household total energy use has been estimated in numerous studies in recent decades and differences have mainly been explained by levels of income/expenditure. Studies of gender consumption patterns show that men eat more meat than women and drive longer distances, potentially leading to higher total energy use by men. In this study we calculated the total energy use for male and female consumption patterns in four European countries (Germany, Norway, Greece and Sweden) by studying single households. Significant differences in total energy use were found in two countries, Greece and Sweden. The largest differences found between men and women were for travel and eating out, alcohol and tobacco, where men used much more energy than women. We suggest that these findings are policy relevant for the EU, which aims to mainstream gender issues into all activities and to lower its total energy use.

  9. While visitors conserve, residents splurge: Patterns and changes in energy consumption, 1997-2007

    International Nuclear Information System (INIS)

    Nasseri, Iman; Assané, Djeto; Konan, Denise Eby

    2015-01-01

    This study analyzes changes in energy consumption in Hawai‘i between 1997 and 2007 using input-output analysis. Residents increase their energy use by 33% in electricity and 18% in fuel, largely due to direct consumption. In contrast, visitors contract energy demand by 9% and 4% in electricity and fuel, respectively. The findings are robust at per-capita levels. Key drivers are the significant drops in energy intensity of primarily three industries: air transportation, hotels, and restaurants. Further analysis decomposes the change to evaluate the underlying factors. - Highlights: • Residents and visitors exhibit differences in their energy consumption profile. • Increase/decrease in energy consumption for residents/visitors from 1997 to 2007. • Visitor factor for fuel consumption dropped from 3.5 in 1997 to 2.3 in 2007. • Visitor factor for electricity consumption dropped from 2.4 in 1997 to 1.5 in 2007. • Decrease in energy intensity firmly establishes improvement in energy efficiency

  10. Energy use and related risk management problems in CEE countries

    International Nuclear Information System (INIS)

    Ney, R.; Michna, J.; Ekmanis, J.; Zeltins, N.; Zebergs, V.

    2008-01-01

    Nowadays, the efficiency of energy use in the Central and East-European (CEE) countries is insufficient, being much lower than in the 'Old Europe'. The problem becomes increasingly pressing due to non-stop increasing prices of energy carriers (especially of crude oil). The authors trace the development of research activities in this sphere, classifying the revealed changes in parameters of energy consumption processes in particular time intervals into deterministic, probabilistic, and fuzzy. The paper presents a thorough analysis of decision-making in the energy management at its different levels normative, strategic, and operative. Particular attention is given to the management under uncertainty conditions - i.e. to the risk management. The most wanted research directions in this area proposed by the energy and environment policy (EEP) Center specially created for CEE countries concern management under risk connected with innovations, international activities, loss of reputation, etc.. The authors consider in detail the risk management with insufficient knowledge (non-knowledge) and under chaos. Much consideration is given to the scenario management and the game theory principles as related to the sphere of energy use. (Authors)

  11. Residential energy consumption in urban China: A decomposition analysis

    International Nuclear Information System (INIS)

    Zhao Xiaoli; Li Na; Ma, Chunbo

    2012-01-01

    Residential energy consumption (REC) is the second largest energy use category (10%) in China and urban residents account for 63% of the REC. Understanding the underlying drivers of variations of urban REC thus helps to identify challenges and opportunities and provide advices for future policy measures. This paper applies the LMDI method to a decomposition of China's urban REC during the period of 1998–2007 at disaggregated product/activity level using data collected from a wide range of sources. Our results have shown an extensive structure change towards a more energy-intensive household consumption structure as well as an intensive structure change towards high-quality and cleaner energy such as electricity, oil, and natural gas, which reflects a changing lifestyle and consumption mode in pursuit of a higher level of comfort, convenience and environmental protection. We have also found that China's price reforms in the energy sector have contributed to a reduction of REC while scale factors including increased urban population and income levels have played a key role in the rapid growth of REC. We suggest that further deregulation in energy prices and regulatory as well as voluntary energy efficiency and conservation policies in the residential sector should be promoted. - Highlights: ► We examine china's residential energy consumption (REC) at detailed product level. ► Results show significant extensive and intensive structure changed. ► Price deregulation in the energy sector has contributed a reduction of REC. ► Growth of population and income played a key role in REC rapid growth. ► We provide policy suggestions to promote REC saving.

  12. The effects of temporal perspective on college students' energy drink consumption.

    Science.gov (United States)

    Kim, Jarim; Anagondahalli, Deepa

    2017-09-01

    Consideration of future consequences (CFC) describes the extent to which individuals consider potential future outcomes of their present behaviors. This personality trait has been found to predict repetitive health behaviors. Research is yet to explore the role of health beliefs, which may mediate the relationship between CFC and self-directed health behaviors. Thus, this study examined how CFC affects energy drink-related health beliefs and consumption behavior. A cross-sectional correlational online survey with 1,050 college students was conducted. Key measures include the CFC Scale, health belief measures, and current energy drink consumption pattern. CFC was associated with energy drink consumption as well as several health beliefs. CFC had indirect effects on energy drink consumption through health beliefs, including perceived severity of consuming energy drinks (indirect effect estimate = -.191, 95% confidence interval [CI] [-.271, -.122]), perceived benefits of avoiding energy drinks (indirect effect estimate = -.108, 95% CI [-.174, -.050]), and perceived barriers in abstaining from energy drinks (energy level-related barriers, indirect effect estimate = -.274, 95% CI [-.387, -.181]; and socialization-related barriers, indirect effect estimate = .152, 95% CI [.078, .249]). As the first study to examine CFC's indirect effects on a self-directed health behavior through health beliefs, this study extended CFC's applicability by examining its role in the context of college students' energy drink consumption. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  13. Comfort, Indoor Air Quality, and Energy Consumption in Low Energy Homes

    Energy Technology Data Exchange (ETDEWEB)

    Englemann, P. [Fraunhofer Center for Sustainable Energy Systems, Cambridge, MA (United States); Roth, K. [Fraunhofer Center for Sustainable Energy Systems, Cambridge, MA (United States); Tiefenbeck, V. [Fraunhofer Center for Sustainable Energy Systems, Cambridge, MA (United States)

    2013-01-01

    This report documents the results of an in-depth evaluation of energy consumption and thermal comfort for two potential net zero-energy homes (NZEHs) in Massachusetts, as well as an indoor air quality (IAQ) evaluation performed in conjunction with Lawrence Berkeley National Laboratory (LBNL).

  14. Simulation of Energy Consumption and Emissions from Rail Traffic

    DEFF Research Database (Denmark)

    Lindgreen, Erik Bjørn Grønning; Sorenson, Spencer C

    . The calculation procedure is evaluated with respect to resolution of operation conditions, and then evaluated by comparison with experimental data for a variety of passenger and goods trains. The results indicate that the energy consumption from modeling approach is valid to better that 10% for known operating...... characteristics. Emissions are calculated from the energy consumption using average fuel based emissions factors and electrical production emissions factors....

  15. OPTIMIZING ENERGY CONSUMPTION IN VEHICULAR SENSOR NETWORKS BY CLUSTERING USING FUZZY C-MEANS AND FUZZY SUBTRACTIVE ALGORITHMS

    Directory of Open Access Journals (Sweden)

    A. Ebrahimi

    2017-09-01

    Full Text Available Traffic monitoring and managing in urban intelligent transportation systems (ITS can be carried out based on vehicular sensor networks. In a vehicular sensor network, vehicles equipped with sensors such as GPS, can act as mobile sensors for sensing the urban traffic and sending the reports to a traffic monitoring center (TMC for traffic estimation. The energy consumption by the sensor nodes is a main problem in the wireless sensor networks (WSNs; moreover, it is the most important feature in designing these networks. Clustering the sensor nodes is considered as an effective solution to reduce the energy consumption of WSNs. Each cluster should have a Cluster Head (CH, and a number of nodes located within its supervision area. The cluster heads are responsible for gathering and aggregating the information of clusters. Then, it transmits the information to the data collection center. Hence, the use of clustering decreases the volume of transmitting information, and, consequently, reduces the energy consumption of network. In this paper, Fuzzy C-Means (FCM and Fuzzy Subtractive algorithms are employed to cluster sensors and investigate their performance on the energy consumption of sensors. It can be seen that the FCM algorithm and Fuzzy Subtractive have been reduced energy consumption of vehicle sensors up to 90.68% and 92.18%, respectively. Comparing the performance of the algorithms implies the 1.5 percent improvement in Fuzzy Subtractive algorithm in comparison.

  16. Dynamic sink assignment for efficient energy consumption in wireless sensor networks

    KAUST Repository

    Oikonomou, Konstantinos N.

    2012-04-01

    Efficient energy consumption is a challenging problem in wireless sensor networks (WSNs) and closely related to extending network lifetime. The usual way of tackling this issue for topologies with fixed link weight and fixed sink location, has been shown to be severely affected by the energy hole problem. In this paper, the energy consumption problem is initially studied for WSNs with fixed sink assignment and it is analytically shown that energy consumption is minimized when the sink is assigned to the node that is the solution of a suitably formulated 1-median problem. This motivates the introduction of a dynamic environment where link weights change based on the energy level and the aggregate traffic load of the adjacent nodes. Then, the sink is adaptively allowed to move among neighbor nodes, according to a scalable sink migration strategy. Simulation results support the analytical claims demonstrating energy consumption reduction and an additional network lifetime increment when migration is employed in the dynamic environment. © 2012 IEEE.

  17. Intelligent energy management. Less electricity, same cooling; Energie intelligent managen. Weniger Strom, gleiche Kaelte

    Energy Technology Data Exchange (ETDEWEB)

    Sprado, Joern; Lawo, Michael [Bremen Univ. (DE). Technologie-Zentrum Informatik und Informationstechnik (TZI)

    2009-09-15

    In cooperation with the company netDV Unternehmensberatung GmbH, the Technology Center for Computational Science (TZI) at the University of Bremen has developed a computer-aided ''assistance system for intelligent energy management'' that considerably reduces the energy consumption of feed refrigeration systems in our supermarkets. Reductions of between 10 and 20 per cent lead to savings in the order of five-digit euro amounts. (orig.)

  18. Analysis and modelling of the energy consumption of chemical batch plants

    Energy Technology Data Exchange (ETDEWEB)

    Bieler, P.S.

    2004-07-01

    This report for the Swiss Federal Office of Energy (SFOE) describes two different approaches for the energy analysis and modelling of chemical batch plants. A top-down model consisting of a linear equation based on the specific energy consumption per ton of production output and the base consumption of the plant is postulated. The model is shown to be applicable to single and multi-product batches for batch plants with constant production mix and multi-purpose batch plants in which only similar chemicals are produced. For multipurpose batch plants with highly varying production processes and changing production mix, the top-down model produced inaccurate results. A bottom-up model is postulated for such plants. The results obtained are discussed that show that the electricity consumption for infrastructure equipment was significant and responsible for about 50% of total electricity consumption. The specific energy consumption for the different buildings was related to the degree of automation and the production processes. Analyses of the results of modelling are presented. More detailed analyses of the energy consumption of this apparatus group show that about 30 to 40% of steam energy is lost and thus a large potential for optimisation exists. Various potentials for making savings, ranging from elimination of reflux conditions to the development of a new heating/cooling-system for a generic batch reactor, are identified.

  19. Is more always better? The nonlinear relationship between energy consumption and wellbeing

    Science.gov (United States)

    Vaughan Winfrey, Elise Marie

    Policymakers today face rapidly expanding world populations, increasing evidence of environmental degradation and climate change, and mounting economic crises. In this context, they are grappling with the challenge of balancing environmental concerns, economic viability, and the wellbeing of their citizens. Because energy consumption has both positive and negative wellbeing implications, it is unclear whether societal goals to raise standards of living through energy-intensive lifestyles conflict with the social, economic, environmental, and health dimensions of broader wellbeing aspirations. Though there has been a significant amount of research on the long-run environmental consequences of increasing aggregate world energy demand, there is a lack of direct evidence on the relationship between energy consumption and wellbeing. This paper attempts to improve our understanding of the net wellbeing consequences of energy consumption. Specifically, it examines whether there is a nonlinear relationship between per capita energy consumption, as measured alternatively by CO2 emissions (metric tons per capita), electricity consumption (kWh per capita), and total energy consumption (kg of oil equivalent per capita), and wellbeing, as measured by individual life satisfaction aggregated at the country level. Panel and cross-sectional regression analyses are conducted using data from the Gallup World Poll (GWP), integrated European and World Values Surveys (WVS-EVS), and the World Bank DataBank (WBDB). Despite the classic economic assumption that more is always better, this analysis indicates that increasing energy consumption is not always associated with wellbeing improvements. The empirical results provide some suggestive evidence that life satisfaction gains associated with energy consumption may eventually be counterbalanced by the related human and environmental costs. This is valuable information for policymakers trying to balance environmental, energy-security, and

  20. Gap analysis of industrial energy management systems in Slovenia

    International Nuclear Information System (INIS)

    Pusnik, Matevz; Al-Mansour, Fouad; Sucic, Boris; Gubina, A.F.

    2016-01-01

    Industrial energy management systems, which comprise software solutions, upfront services, and ongoing monitoring and management, enable industrial companies to actively manage their energy consumption and energy procurement activities. Energy management systems are usually tailored to the specific industrial needs but may offer limited functionalities, mostly as a result of different identified gaps (process simplifications, improper measurement points, a lack of motivation, etc.). A survey was conducted in order to analyse the gaps and use of energy management systems in Slovenian industry. The results of the survey presented in this paper demonstrate that the use of energy management systems in industry is recognised as a potential competitive advantage by most of the addressed companies. Furthermore, motivation was highlighted as an important prerequisite for process and structural improvements and reported to be thus far insufficiently addressed. Furthermore, the importance of strong cooperation with actors at different levels of industry, namely the executive and shop floor levels, is addressed. In the conclusion, possibilities for new opportunities in the exploitation of energy efficiency through the use of industrial energy management systems are discussed. - Highlights: • Investigating gaps and evaluation of EMS use in Slovenian industry. • Analysis based on the developed self-assessment tool 3EMT. • Existing EMS do not include all the requirements for the industrial operations. • Constructive cooperation between all stakeholders is of crucial importance.

  1. Impacts of GDP, Fossil Fuel Energy Consumption, Energy Consumption Intensity, and Economic Structure on SO2 Emissions: A Multi-Variate Panel Data Model Analysis on Selected Chinese Provinces

    Directory of Open Access Journals (Sweden)

    Haoran Zhao

    2018-03-01

    Full Text Available Atmospheric pollution gradually become a focus of concern all over the world owing to its detrimental influence on human health as well as long range impact on global ecosystem. This paper investigated the relationship among SO2 emissions, GDP, fossil fuel energy consumption, energy consumption intensity, and economic structure of five provinces in China with the highest SO2 emissions spanning from 2002–2015 based on panel data model. Through comparatively analyzing the coefficients in the established panel data model for Hebei, Henan, Inner Mongolia, Shandong, and Shanxi, we can obtain that: (1 fossil fuel energy consumption made the most devotion to SO2 discharge compared with GDP, energy consumption intensity, and economic structure. And the more the fossil fuel energy consumption, the more the devotion made by it to SO2 discharge. (2 GDP devoted less to SO2 emissions than fossil fuel energy consumption, and the larger the scale of the economy, the greater the contribution made by it to SO2 emissions. (3 The higher the proportion of the secondary industry added value accounted in GDP, the more the devotion made by the economic structure and energy consumption intensity to SO2 emissions. Through analyzing the Granger causality examination results, it can be concluded that: (1 there existed a bi-directional causal relationship between fossil fuel energy consumption and SO2 emissions among five selected provinces. (2 There existed uni-directional causal nexus running from GDP to SO2 emissions, from energy consumption intensity to SO2 emissions, and from economic structure to SO2 emissions among five chosen provinces. Based on the empirical analysis, several policy implications were proposed to provide references for policy makers, which were (1 Giving full play to the guiding role of price signals, and improving the price policy for desulfurization. (2 Formulating a new comprehensive evaluation system to measure the regional development level

  2. Kalimantan energy resource management to support energy independence and industry growth

    International Nuclear Information System (INIS)

    Rizki Firmansyah Setya Budi; Wiku Lulus Widodo; Djati Hoesen Salimy

    2014-01-01

    There are a large number of energy resource in Kalimantan such as coal, oil, CBM, gas and nuclear. While the electricity consumption still low. That condition caused by the bad energy planning. The aim of the study are to know the number and the ability of energy resource to supply the energy demand that support the growth of Kalimantan industry. The methodology are collecting and processing data through calculation using MESSAGE Program. The result is energy resource in Kalimantan can support Kalimantan energy independence and industry growth in Kalimantan. The coal resource is 34,814 million ton consumption 835 million ton, gas resource is 31,814 BSCF consumption 3,281 BSCF, Oil resource is 920 MMSTB consumption 4406 MMSTB, CBM resource is 210 TCF consumption 2.1 TCF, U 3 O 8 resource is 12,409 ton consumption zero. Whereas for hydro and biomass, the resource are 256 and 138 MWyr, the maximum consumption 185 and 126 MWyr every year. Oil consumption will exceed the resource so need import from other island or replaced by others energy that have large resource such as gas, CBM, or coal. Potency to make cleaner environment can be done by used nuclear energy. (author)

  3. Energy consumption-economic growth relationship and carbon dioxide emissions in China

    Energy Technology Data Exchange (ETDEWEB)

    Fei Li, E-mail: lfly2004@yahoo.com.c [Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 (China); Dong Suocheng; Xue Li [Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 (China); Liang Quanxi [Jinan University, Guangzhou 510632 (China); Yang Wangzhou [Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 (China)

    2011-02-15

    This paper applies the panel unit root, heterogeneous panel cointegration and panel-based dynamic OLS to re-investigate the co-movement and relationship between energy consumption and economic growth for 30 provinces in mainland China from 1985 to 2007. The empirical results show that there is a positive long-run cointegrated relationship between real GDP per capita and energy consumption variables. Furthermore, we investigate two cross-regional groups, namely the east China and west China groups, and get more important results and implications. In the long-term, a 1% increase in real GDP per capita increases the consumption of energy by approximately 0.48-0.50% and accordingly increases the carbon dioxide emissions by about 0.41-0.43% in China. The economic growth in east China is energy-dependent to a great extent, and the income elasticity of energy consumption in east China is over 2 times that of the west China. At present, China is subject to tremendous pressures for mitigating climate change issues. It is possible that the GDP per capita elasticity of carbon dioxide emissions would be controlled in a range from 0.2 to 0.3 by the great effort. - Research Highlights: {yields} The long-run cointegrated relationship between real GDP per capita and energy consumption in China is examined. {yields} GDP per capita elasticity of carbon dioxide emissions is estimated. {yields} Economic growth in east China is energy-dependent to a great extent, and relies on the consumption of the energy more than the west China.

  4. Energy consumption-economic growth relationship and carbon dioxide emissions in China

    International Nuclear Information System (INIS)

    Fei Li; Dong Suocheng; Xue Li; Liang Quanxi; Yang Wangzhou

    2011-01-01

    This paper applies the panel unit root, heterogeneous panel cointegration and panel-based dynamic OLS to re-investigate the co-movement and relationship between energy consumption and economic growth for 30 provinces in mainland China from 1985 to 2007. The empirical results show that there is a positive long-run cointegrated relationship between real GDP per capita and energy consumption variables. Furthermore, we investigate two cross-regional groups, namely the east China and west China groups, and get more important results and implications. In the long-term, a 1% increase in real GDP per capita increases the consumption of energy by approximately 0.48-0.50% and accordingly increases the carbon dioxide emissions by about 0.41-0.43% in China. The economic growth in east China is energy-dependent to a great extent, and the income elasticity of energy consumption in east China is over 2 times that of the west China. At present, China is subject to tremendous pressures for mitigating climate change issues. It is possible that the GDP per capita elasticity of carbon dioxide emissions would be controlled in a range from 0.2 to 0.3 by the great effort. - Research Highlights: → The long-run cointegrated relationship between real GDP per capita and energy consumption in China is examined. → GDP per capita elasticity of carbon dioxide emissions is estimated. → Economic growth in east China is energy-dependent to a great extent, and relies on the consumption of the energy more than the west China.

  5. Energy consumption and Growth of renewable energies in China

    International Nuclear Information System (INIS)

    Meunie, A.

    2007-01-01

    The Chinese government's ability to shift the energy structure towards renewable energies is now a world stake. The high weight of coal takes the economy into unsustainable growth, both at local level (SO 2 emissions) and at a global level (CO 2 emissions). But the extensive goods accumulation strategy at a pace in the region of 10% per year, prevents renewable energy sources from gaining a growing share of total consumption. On the contrary, the exponential increase in needs makes an ever-growing use of coal quite inescapable. This articles discusses the driving forces behind the energy sector and explores the high potential or renewable resources in China. (author)

  6. Energy Performance Certification of Faculty Buildings in Spain: The gap between estimated and real energy consumption

    International Nuclear Information System (INIS)

    Herrando, María; Cambra, David; Navarro, Marcos; Cruz, Lucio de la; Millán, Gema; Zabalza, Ignacio

    2016-01-01

    Highlights: • Most of the Faculty Buildings studied are within the average of CO_2 emissions. • Academic and Research buildings have a similar simulated energy consumption. • Several restrictions found in the official Energy Performance Certification tool. • Average deviation of 30% between estimated and real energy consumption. • Electrical equipment and user behaviour notably increase the energy performance gap. - Abstract: A systematic method has been established to perform and analyse in detail the Energy Performance Certification of 21 Faculty Buildings located at the University of Zaragoza (Spain), according to the transposition of Directive 2010/31/EU. First of all, the problem background and a review of the state-of-the-art of the energy certification in buildings is outlined, regarding both the actual state of the Government regulations and the studies undertaken in several countries to assess the energy performance of different types of buildings, residential and non-residential. A summary of the causes found in other studies for the discrepancies between the estimated (by simulation) and actual energy consumption is shown which is afterwards tested and compared with the results found in the present study. Thereafter, the method followed to undertake the buildings’ Energy Performance Certification is explained, and the main results found together with the discussion are detailed, comparing actual vs. estimated energy consumption in the different case studies and proposing reasons for these deviations. The energy consumption breakdown by uses for several buildings is also analysed, and potential improvements for the simulation software are assessed.

  7. Energy consumption analysis of the Venus Deep Space Station (DSS-13)

    Science.gov (United States)

    Hayes, N. V.

    1983-01-01

    This report continues the energy consumption analysis and verification study of the tracking stations of the Goldstone Deep Space Communications Complex, and presents an audit of the Venus Deep Space Station (DSS 13). Due to the non-continuous radioastronomy research and development operations at the station, estimations of energy usage were employed in the energy consumption simulation of both the 9-meter and 26-meter antenna buildings. A 17.9% decrease in station energy consumption was experienced over the 1979-1981 years under study. A comparison of the ECP computer simulations and the station's main watt-hour meter readings showed good agreement.

  8. Energy efficient refrigeration and flexible power consumption in a smart grid

    Energy Technology Data Exchange (ETDEWEB)

    Gybel Hovgaard, T.; Larsen, Lars F.S. (Danfoss Refrigeration and A/C Controls, Nordborg (Denmark)); Halvgaard, R.; Bagterp Joergensen, J. (Technical Univ. of Denmark (DTU). DTU Informatics, Kgs. Lyngby (Denmark))

    2011-05-15

    Refrigeration and heating systems consume substantial amounts of energy worldwide. However, due to the thermal capacity there is a potential for storing 'coldness' or heat in the system. This feature allows for implementation of different load shifting and shedding strategies in order to optimize the operation energywise, but without compromising the original cooling and indoor climate quality. In this work we investigate the potential of such a strategy and its ability to significantly lower the cost related to operating systems such as supermarket refrigeration and heat pumps for residential houses. With modern Economic Model Predictive Control (MPC) methods we make use of weather forecasts and predictions of varying electricity prices to apply more load to the system when the thermodynamic cycle is most efficient, and to consume larger shares of the electricity when the demand and thereby the prices are low. The ability to adjust power consumption according to the demands on the power grid is a highly wanted feature in a future Smart Grid. Efficient utilization of greater amounts of renewable energy calls for solutions to control the power consumption such that it increases when an energy surplus is available and decreases when there is a shortage. This should happen almost instantly to accommodate intermittent energy sources as e.g. wind turbines. We expect our power management solution to render systems with thermal storage capabilities suitable for flexible power consumption. The aggregation of several units will contribute significantly to the shedding of total electricity demand. Using small case studies we demonstrate the potential for utilizing daily variations to deliver a power efficient cooling or heating and for the implementation of Virtual Power Plants in Smart Grid scenarios. (Author)

  9. Convergence in energy consumption per capita among ASEAN countries

    International Nuclear Information System (INIS)

    Mishra, Vinod; Smyth, Russell

    2014-01-01

    We test for convergence in energy consumption per capita among ASEAN countries over the period 1971 to 2011 using the panel KPSS stationarity test and panel Lagrange multiplier (LM) unit root test. The results for the panel stationarity and unit root tests with structural breaks find support for energy convergence in ASEAN. - Highlights: • We test for convergence in energy consumption per capita among the ASEAN nations. • Univariate conventional unit root tests provide mixed evidence of convergence. • Panel unit root tests with structural breaks support convergence hypothesis

  10. Dynamic linkages among transport energy consumption, income and CO2 emission in Malaysia

    International Nuclear Information System (INIS)

    Azlina, A.A.; Law, Siong Hook; Nik Mustapha, Nik Hashim

    2014-01-01

    This paper examines the dynamic relationship between income, energy use and carbon dioxide (CO 2 ) emissions in Malaysia using time-series data during 1975 to 2011. This study also attempts to validate the environmental Kuznet curve (EKC) hypothesis. Applying a multivariate model of income, energy consumption in the transportation sector, carbon emissions, structural change in the economy and renewable energy use, the empirical evidence confirmed that there is a long-run relationship between the variables as shown by the result of co-integration analysis. The results indicate that the inverted U-shape EKC hypothesis does not fully agree with the theory. The coefficient of squared GDP is not statistically different from zero. The time duration and the annual data used for the present study do not seem to strongly validate the existence of EKC hypothesis in the case of Malaysia. Causality test shows that the relationship between GDP and CO 2 is unidirectional. The Granger causality test results reveal that emissions Granger-cause income, energy consumption and renewable energy use. Moreover, we find that income Granger-causes energy consumption and renewable energy use, and both structural change and renewable energy use Granger-cause energy consumption in road transportation. - Highlights: • We examine the dynamic relationship among energy consumption in transportation sector, income and CO 2 and also attempts to validate the environmental Kuznet curve (EKC) hypothesis. • We used a multivariate approach based on VECM. • The inverted U-shape EKC hypothesis is not valid in the case of Malaysia. • Uni-directional causality exists from emission to income, energy consumption and renewable energy use. • Income Granger-causes energy consumption and renewable energy use, and both structural change and renewable energy use Granger-cause energy consumption in road transportation

  11. Solar Adoption and Energy Consumption in the Residential Sector

    Science.gov (United States)

    McAllister, Joseph Andrew

    This dissertation analyzes the energy consumption behavior of residential adopters of solar photovoltaic systems (solar-PV). Based on large data sets from the San Diego region that have been assembled or otherwise acquired by the author, the dissertation quantifies changes in energy consumption after solar-PV installation and determines whether certain household characteristics are correlated with such changes. In doing so, it seeks to answer two related questions: First, "Do residential solar adopters increase or decrease their electricity consumption after they install a solar-PV system?" Assuming that certain categories of residential adopters increase and others decrease, the second question is "Which residential adopters increase and which decrease their consumption and why?" The database that was used to conduct this analysis includes information about 5,243 residential systems in San Diego Gas & Electric's (SDG&E) service territory installed between January 2007 and December 2010. San Diego is a national leader in the installation of small-scale solar-electric systems, with over 12,000 systems in the region installed as of January 2012, or around 14% of the total number installed in California. The author performed detailed characterization of a significant subset of the solar installations in the San Diego region. Assembled data included technical and economic characteristics of the systems themselves; the solar companies that sold and installed them; individual customer electric utility billing data; metered PV production data for a subgroup of these solar systems; and data about the properties where the systems are located. Primarily, the author was able to conduct an electricity consumption analysis at the individual household level for 2,410 PV systems installed in SDG&E service territory between January 2007 and December 2010. This analysis was designed to detect changes in electricity consumption from the pre-solar to the post-installation period. To

  12. Forecasting of the energy consumption; Zamke prognoziranja potrosnje energije

    Energy Technology Data Exchange (ETDEWEB)

    Hill, Z [Zagreb (Croatia)

    1997-12-31

    Urged by earlier continuous failures in forecasting the consumption of energy in the world, essentially characterized by megalomania, the author presents his views on causes of such occurrences. Fundamental cause is considered - logic of a circle - insensitive to social and economic effects on the humanity in general and particularly to the energy consumption. Besides, a lethal influence of voluntarism has been specially studied as well. (author). 13 refs.

  13. Household energy consumption in the United States, 1987 to 2009: Socioeconomic status, demographic composition, and energy services profiles

    Science.gov (United States)

    Kemp, Robert J.

    This dissertation examines household energy consumption in the United States over the period of 1987 to 2009, specifically focusing on the role of socioeconomic status, demographic composition, and energy services profiles. The dissertation makes use of four cross-sections from the Residential Energy Consumption Survey data series to examine how household characteristics influence annual energy consumption overall, and by fuel type. Chapter 4 shows that household income is positively related to energy consumption, but more so for combustible fuel consumption than for electricity consumption. Additionally, results for educational attainment suggest a less cross-sectional association and more longitudinal importance as related to income. Demographic composition matters, as predicted by the literature; household size and householder age show predicted effects, but when considered together, income explains any interaction between age and household size. Combustible fuels showed a far greater relationship to housing unit size and income, whereas electricity consumption was more strongly related to educational attainment, showing important differences in the associations by fuel type. Taken together, these results suggest a life course-based model for understanding energy consumption that may be strongly linked to lifestyles. Chapter 5 extends the findings in Chapter 4 by examining the patterning of physical characteristics and behaviors within households. The chapter uses Latent Class Analysis to examine a broad set of energy significant behaviors and characteristics to discover five unique energy services profiles. These profiles are uniquely patterned across demographic and socioeconomic compositions of households and have important effects on energy consumption. These profiles are likely byproducts of the lifestyles in which the household takes part, due to factors such as their socioeconomic status and household demographic composition. Overall, the dissertation

  14. Temperature, Humidity and Energy Consumption Forecasting in the Poultry Hall Using Artificial Neural Networknetwork

    Directory of Open Access Journals (Sweden)

    N Gholamrezaei

    2017-10-01

    Full Text Available Introduction Energy consumption management is one of the most important issues in poultry halls management. Considering the situation of poultry as one of the largest and most developed industries, it is needed to control growing condition based on world standards. The neural networks as one of the intelligent methods are applied in a lot of fields such as classification, pattern recognition, prediction and modeling of processes. To detect and classify several agricultural crops, a research was conducted based on texture and color feature. The highest classification accuracy for vegetables, grains and fruits with using artificial neural network were 80%, 86% and 70%. In this research, the ability to Multilayer Perceptron (MLP Neural Network in predicting energy consumption, temperature and humidity in different coordinate placement of electronic control unit sensors in the poultry house environment was examined. Materials and Methods The experiments were conducted in a poultry unit (3000 pieces that is located in Fars province, Marvdasht city, Ramjerd town, with dimensions of 32 meters long, 7 meters wide and 2.2 meters height. To determine the appropriate placement of the sensor, 60 different points in terms of length, width and height in poultry were selected. Initially, the data was divided into two datasets. 80 percent of total data as a training set and 20 percent of total data as a test set. From180 observations, 144 data were used to train network and 36 data were used to test the process. There are several criteria for evaluating predictive models that they are mainly based according to the difference between the predicted outputs and actual outputs. To evaluate the performance of the model, two statistical indexes, mean squared error (MSE and the coefficient of determination (R² were used. Results and Discussions In this study, to train artificial neural network for predicting the temperature, humidity and energy consumption, the

  15. Energy consumption optimization of a continuous ice cream process

    International Nuclear Information System (INIS)

    González-Ramírez, J.E.; Leducq, D.; Arellano, M.; Alvarez, G.

    2013-01-01

    Highlights: • This work investigates potential energy savings of an ice cream freezer. • From a full load compressor to a variable speed compressor one in freezer. • 30% less of energy consumption. • It is possible to save between 11 and 14 MWh per year by optimizing freezers. - Abstract: This work investigates potential energy saves in an ice cream freezer by using a variable speed compressor and optimization’s methodology for operating conditions during the process. Two configurations to control the refrigeration capacity were analyzed, the first one, modifies the pressure through the pilot control valve (conventional refrigeration system) and the second one with a variable speed compressor, both with a float expansion valve. Variable speed compressor configuration has showed the highest coefficient of performance and around of 30% less of energy consumption than the conventional one. The optimization of operating conditions in order to minimize the energy consumption is also presented. It was calculated only in France, for all ice cream and sorbet production, it is possible to save energy between 11 and 14 MWh per year by optimizing the operation of the refrigeration system through a variable speed compressor configuration

  16. Forecast of the energy final consumption for Minas Gerais State

    International Nuclear Information System (INIS)

    Almeida, P.E.F. de; Bechtlufft, P.C.T.; Araujo, M.E.A.; Vasconcelos, E.C.; Las Casas, H.B. de; Monteiro, M.A.G.

    1990-01-01

    This paper is included among the activities of the Energy Planning of Minas Gerais State and presents a forecast of the energy final consumption for the State up to year 2010. Two Scenarios are presented involving brazilian economy's evolution, the State's demography and its sectors: residential, services, transportation, agriculture and cattle-breeding and industry. Finally, it shows two forecast on energy final consumption for Minas Gerais State. (author)

  17. Taxation on environmental pollution and energy consumption 1995

    International Nuclear Information System (INIS)

    Anon.

    1996-01-01

    The document gives statistics on taxation of pollution caused to the environment and on energy consumption in Denmark. These forms of taxation are rapidly increasing in Denmark as a consequence of the country's environmental policy. In 1995 the total state revenue from these sources was 23.5 billion Danish kroner which comprises 7.1% (compared to 6.5% for 1994) of the total revenue from all forms of taxation. Revenues in 1995 are 8.2 billion Danish kroner higher than in 1986. The State's revenue from taxation of energy consumption was 18.4 billion Danish kroner, which is 78% of revenues from taxation on both environmental pollution and on energy consumption. Revenues from taxation on pollution of the environment was 5.2 billion Danish kroner. The contribution of the taxation of environmental pollution has increased from 2% in 1986 to 22% in 1995 of the total revenue from taxation of both environmental pollution and energy consumption. Statistics include revenues from taxation on petrol, electric power, the use of gas and diesel oil and fuel oils, on kerosone and tar fuels for heating, on autogas and bottled gas, and on pit coal and lignite. Details are given on taxation revenues from the taxation of the different forms of environmental pollution such as carbon dioxide and rubbish etc. and on the taxation on carbon dioxide emission from the use of energy products such as electricity and various fuels. Information is given on grants given to projects for reducing the emission of carbon dioxide from 1993-1996 and on the phasing of taxation on environmental pollution in accordance with the Danish tax reforms. (AB)

  18. Financial development and energy consumption in Central and Eastern European frontier economies

    International Nuclear Information System (INIS)

    Sadorsky, Perry

    2011-01-01

    This study examines the impact of financial development on energy consumption in a sample of 9 Central and Eastern European frontier economies. Several different measures of financial development are examined including bank related variables and stock market variables. The empirical results, obtained from dynamic panel demand models, show a positive and statistically significant relationship between financial development and energy consumption when financial development is measured using banking variables like deposit money bank assets to GDP, financial system deposits to GDP, or liquid liabilities to GDP. Of the three stock market variables investigated, only one, stock market turnover, has a positive and statistically significant impact on energy consumption. Both short-run and long-run elasticities are presented. The implications of these results for energy policy are discussed. - Research Highlights: → Financial development affects energy consumption in 9 Central and Eastern European frontier economies. → Bank variables have a larger impact on energy consumption than do stock market variables. → Long run bank elasticities range from 0.117 to 0.276. → These results have implications for energy demand forecasts and greenhouse gas emissions.

  19. On the energy consumption of cryogenic systems and the choice of cryopumps

    International Nuclear Information System (INIS)

    Kholod, Yu.V.; Yuferov, V.B.

    1981-01-01

    Energy consumption during the mutual use of cryogenic magnetic and vacuum systems including superconductina magnet, forevacuum and high vacuum cryopumps, is analyzed. The portion of energy consumption on preliminary condensational pumping-out of vaccuum chamber with volume of 6 m 3 for the considered case does not exceed 12% and decreases in time. Summary portion of energy consumption on operation of forevacuum and high vacuum cryopumps does not exceed one third of energy consumption on preliminary cooling of superconducting magnet and decreases to 10% during stationary operation of cryogenic system during 85O hours. A comparison of general and specific energy consumptions during the operation of different condensational cryopumps as well as of forevacuum condensational and sorption pumps is made. A conclusion is made that at small periods of time (tens of hours) of cryovacuum system operation it is expidient to use one cryopump with a wide range of working pressures (atmosphere-superhigh vacuum) instead of a combination of forevacuum and high vacuum cryopumps. Besides, a conclusion is made on expediency of the use of nitrogen condensational pumps instead of nitrogen cryosorption ones in the range of high pressures (760-10 mm Hg) expecially during the pumping out of vacuum chambers of high volume (1m 3 and higher). It is shown that account of energy consumptions on preliminary cooling of cryopumps and high vacuum ones in particular, at small (tens of hours) times of their operation increases average specific energy consumptions about 3 times. It is concluded that one can disregard the energy consumption used for preliminary cooling of cryopumps only in case of their stationary operation during about 10 3 hours [ru

  20. The Increase of Energy Consumption and Carbon Dioxide (CO2) Emission in Indonesia

    Science.gov (United States)

    Sasana, Hadi; Putri, Annisa Eka

    2018-02-01

    In the last decade, the increase of energy consumption that has multiplied carbondioxide emissions becomes world problems, especially in the developing countries undergoing industrialization to be developed ones like Indonesia. This aim of this study was to analyze the effect of fossil energy consumption, population growth, and consumption of renewable energy on carbon dioxide emission. The method used was multiple linear regression analysis with Ordinary Least Square approach using time series in the period of 1990 - 2014. The result showed that fossil energy consumption and population growth have a positive influence on carbon dioxide emission in Indonesia. Meanwhile, the consumption variable of renewable energy has a negative effect on the level of carbon dioxide emissions produced.