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.

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

The Analysis of Electrical Energy Consumption of the Impact Screwdriver During Assembly of Fixed Threaded Joints

Science.gov (United States)

Grinevich, I.; Nikishin, Vl.; Mozga, N.; Laitans, M.

2017-06-01

The paper deals with the possibilities of reducing the consumption of electrical energy of the impact screwdriver during the assembly of fixed threaded joints. The recommendations related to a decrease in electrical energy consumption would allow reducing product costs but so far there have been no such recommendations from the producers of the tool as to the effective operating regimes of the impact screwdrivers in relation to electrical energy consumption and necessary tightening moment of the nut. The aim of the study is to find out the economical operating mode of the electrical impact screwdriver when assembling fixed threaded joints. By varying the set speed of the rotor head and working time of the impact mechanism, there is an opportunity to determine electrical energy consumption of the tool for the given tightening moment. The results of the experiment show that at the same tightening moment obtained the electrical energy consumption of the impact screwdriver is less at a higher starting set speed of the rotor head but shorter operating time of the impact mechanism than at a lower speed of the rotor head and longer operating time of the impact mechanism.

Applying Smart Grid Technology For Reducing Electric Energy Consumption

Energy Technology Data Exchange (ETDEWEB)

Hoffman, Roy

2010-09-15

In recent years the term 'Smart Grid' has become a widely used buzz word with respect to the operation of Electric Power Systems. One analysis has suggested that a Smart Grid could potentially reduce annual energy consumption in the USA by 56 to 203 billion kWh in 2030, corresponding to a 1.2 to 4.3% reduction in projected retail electricity sales in 2030. This paper discusses some of the smart grid technologies pertaining to the operation of electric power distribution networks.

Estimates of the cost and energy consumption of aluminum-air electric vehicles

Science.gov (United States)

Cooper, J. F.

1980-11-01

Economic costs and primary energy consumption are estimated for general purpose electric vehicles using aluminum-air propulsion batteries within the time frame of the 1990's (earliest possible date of introduction). For an aluminum-air fuel economy of 36 tonne/km/kg-Al (optimized low-gallium alloys), a total refueling cost of 5.6 cents/km (1979$) was estimated for a 1.27 tonne vehicle. This is equivalent to $2 to 3/gal for automobiles of the same weight with fuel economies of 13.5 to 19.3 tonne-km/liter. The total primary energy consumption was estimated to be 1.3 to 1.7 kWh/km (coal) for the electric vehicle, which corresponds roughly to the energy cost of the automobiles using liquid fuels synthesized from coal. The energy consumption is 30 to 70 percent greater than the reference automobile using petroleum-derived gasoline.

Battery electric vehicle energy consumption modelling for range estimation

NARCIS (Netherlands)

Wang, J.; Besselink, I.J.M.; Nijmeijer, H.

2017-01-01

Range anxiety is considered as one of the major barriers to the mass adoption of battery electric vehicles (BEVs). One method to solve this problem is to provide accurate range estimation to the driver. This paper describes a vehicle energy consumption model considering the influence of weather

The effect of economic factors and energy efficiency programs on residential electricity consumption

Science.gov (United States)

Sakai, Mihoko

Many countries have implemented policies to correct market and behavioral failures that lead to inefficient energy use. It is important to know what factors and policies can effectively overcome such failures and improve energy efficiency; however, a comprehensive analysis has been difficult because of data limitations. Using state scores compiled by American organizations recently, and adopting fixed-effects regression models, I analyze the joint impacts of relevant factors and policy programs on residential electricity consumption in each U.S. state. The empirical results reveal that increases in electricity price have small and negative effects, and increases in personal income have positive effects on residential electricity sales per capita (a measure of energy efficiency). The results suggest that it may take time for economic factors to affect electricity sales. The effects of personal income suggest the difficulty of controlling residential electricity consumption; however, they also imply that there is some room in households to reduce electricity use. The study also finds that programs and budgets of several policies seem to be associated with electricity sales. The estimates from a model including interaction terms suggest the importance of including multiple policies when analyzing and designing policies to address electricity efficiency. The results also imply the possibility of rebound effects of some policies, whereby improvements in energy efficiency lead to increases in energy consumption due to the associated lower per unit cost. Future studies should analyze both short-term and long-term effects of economic factors and policies, based on improved and accumulated time series and panel data, in order to design more effective policies for improving residential electricity efficiency.

Power Play: Calculating Home Electricity Consumption

Science.gov (United States)

Roman, Harry T.

2007-01-01

With both energy usage and energy costs rising rapidly, people can benefit from paying closer attention to their consumption of energy. Students can gain greater awareness of their personal use of electricity and get some excellent experience with the practical application of mathematics by studying their families' consumption of electricity. A…

Prediction of electric energy consumption in Cuba for the period 2000-2015

International Nuclear Information System (INIS)

Garcia Rodirguez, B

1999-01-01

This paper consists on a prediction of the growth in electric energy consumption in Cuba, for the period 2000-2015 and with respect to 1990, it also considers the specific features of the National Electroenergetic System. Validated Guidelines in accordance with the Delphi method, which incorporates the basis characteristics considered by international programs for these predictions, were used for this purpose. From the analysis of the behaviour in power consumption of the different consumers and of the expected changes in them according to the expected scenarios, a prediction on the growth in the demand of electric energy is made

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.

Energy consumption in Hodgkin–Huxley type fast spiking neuron model exposed to an external electric field

Directory of Open Access Journals (Sweden)

K. Usha

2016-09-01

Full Text Available This paper evaluates the change in metabolic energy required to maintain the signalling activity of neurons in the presence of an external electric field. We have analysed the Hodgkin–Huxley type conductance based fast spiking neuron model as electrical circuit by changing the frequency and amplitude of the applied electric field. The study has shown that, the presence of electric field increases the membrane potential, electrical energy supply and metabolic energy consumption. As the amplitude of applied electric field increases by keeping a constant frequency, the membrane potential increases and consequently the electrical energy supply and metabolic energy consumption increases. On increasing the frequency of the applied field, the peak value of membrane potential after depolarization gradually decreases as a result electrical energy supply decreases which results in a lower rate of hydrolysis of ATP molecules.

Power to the Plug: An Introduction to Energy, Electricity, Consumption and Efficiency

Energy Technology Data Exchange (ETDEWEB)

DOE / EERE / NEED Project

2011-06-07

The NEED Project and the U.S. Department of Energy have collaborated to bring you this educational four-page guide to energy, electricity, consumption and efficiency. It includes, on the last page, a home energy survey to help you analyze your home energy use.

Analysis of energy consumption and emission of the heterogeneous traffic flow consisting of traditional vehicles and electric vehicles

Science.gov (United States)

Xiao, Hong; Huang, Hai-Jun; Tang, Tie-Qiao

2017-12-01

Electric vehicle (EV) has become a potential traffic tool, which has attracted researchers to explore various traffic phenomena caused by EV (e.g. congestion, electricity consumption, etc.). In this paper, we study the energy consumption (including the fuel consumption and the electricity consumption) and emissions of heterogeneous traffic flow (that consists of the traditional vehicle (TV) and EV) under three traffic situations (i.e. uniform flow, shock and rarefaction waves, and a small perturbation) from the perspective of macro traffic flow. The numerical results show that the proportion of electric vehicular flow has great effects on the TV’s fuel consumption and emissions and the EV’s electricity consumption, i.e. the fuel consumption and emissions decrease while the electricity consumption increases with the increase of the proportion of electric vehicular flow. The results can help us better understand the energy consumption and emissions of the heterogeneous traffic flow consisting of TV and EV.

Electricity of nuclear origin and primary and end-use energy consumption; Electricite nucleaire et consommation d'energie primaire et finale

Energy Technology Data Exchange (ETDEWEB)

NONE

2008-07-01

In France, the electricity of nuclear origin corresponds to about 40% of the primary energy consumption, while electricity as a whole represents about 23% of the end-use energy. This apparent paradox can be explained by 2 methodological points: 1 - the primary energy consumption, in the case of electricity, includes only the energy of nuclear, hydraulic, wind, photovoltaic and geothermal origin. On the other hand, the end-use energy consumption includes all forms of electricity consumed, i.e. the electricity of both primary and secondary origin. 2 - By international convention, the coefficients used to convert MWth into tpe (ton of petroleum equivalent) can change according to two factors: the power generation source and the type of kWh considered, either produced or consumed. The coexistence of different concepts and definitions is justified by the different usages made with them. Therefore, calculations referring to different definitions or equivalence coefficients are not immediately comparable. (J.S.)

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)

Water withdrawal and consumption reduction analysis for electrical energy generation system

Science.gov (United States)

Nouri, Narjes

There is an increasing concern over shrinking water resources. Water use in the energy sector primarily occurs in electricity generation. Anticipating scarcer supplies, the value of water is undoubtedly on the rise and design, implementation, and utilization of water saving mechanisms in energy generation systems are becoming inevitable. Most power plants generate power by boiling water to produce steam to spin electricity-generating turbines. Large quantities of water are often used to cool the steam in these plants. As a consequence, most fossil-based power plants in addition to consuming water, impact the water resources by raising the temperature of water withdrawn for cooling. A comprehensive study is conducted in this thesis to analyze and quantify water withdrawals and consumption of various electricity generation sources such as coal, natural gas, renewable sources, etc. Electricity generation for the state of California is studied and presented as California is facing a serious drought problem affecting more than 30 million people. Integrated planning for the interleaved energy and water sectors is essential for both water and energy savings. A linear model is developed to minimize the water consumption while considering several limitations and restrictions. California has planned to shut down some of its hydro and nuclear plants due to environmental concerns. Studies have been performed for various electricity generation and water saving scenarios including no-hydro and no-nuclear plant and the results are presented. Modifications to proposed different scenarios have been applied and discussed to meet the practical and reliability constraints.

Electricity demand and energy consumption in horticulture and conclusions bearing on energy economy. AEL-Bericht

Energy Technology Data Exchange (ETDEWEB)

1980-01-01

The studies demonstrate that horticultural entreprises, esp. those with a higher electricity consumption, have often not settled for a more favourable electricity tariff. Nor do they use cheaper electricity at slack periods (night current) to the extent possible. Substantial improvement could be obtained above all by fully utilizing the installed capacity through purposeful utilization of machinery and interlocking of major consumers. Measures appropriate to this end are listed allowing a possible economic utilization of electric energy.

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

Adolescents and electricity consumption; Investigating sociodemographic, economic, and behavioural influences on electricity consumption in households

International Nuclear Information System (INIS)

Wallis, Hannah; Nachreiner, Malte; Matthies, Ellen

2016-01-01

With respect to changes in the energy systems of many countries, electricity consumption in households is an important topic. Extensive research has investigated the various determinants of electricity consumption. However, insights into how specific sociodemographic, behavioural, and attitudinal determinants influence residential electricity consumption are still scarce. In this study, we used hierarchical regression analysis to systematically investigate these determinants (including household engagement in electricity saving) along with a wide range of other measures in a sample of German households (N=763). Special attention was given to households with adolescents and children by analysing the influence of the number of adolescents on electricity consumption in a path model. Our results indicate that sociodemographic influences can be explained by the purchasing and use behaviours of residents. Our findings also suggest that the use of behavioural information provides a more detailed picture of the conditions of electricity consumption and thus allows for more appropriate policy planning. - Highlights: •We examined causal drivers of sociodemographic influences on electricity consumption •Sociodemographic influences can be explained by behaviour •Influence of adolescents is mediated by their purchases of IT appliances •It is necessary to also use behavioural information for policy planning

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.

Renewable energy rebound effect?: Estimating the impact of state renewable energy financial incentives on residential electricity consumption

Science.gov (United States)

Stephenson, Beth A.

Climate change is a well-documented phenomenon. If left unchecked greenhouse gas emissions will continue global surface warming, likely leading to severe and irreversible impacts. Generating renewable energy has become an increasingly salient topic in energy policy as it may mitigate the impact of climate change. State renewable energy financial incentives have been in place since the mid-1970s in some states and over 40 states have adopted one or more incentives at some point since then. Using multivariate linear and fixed effects regression for the years 2002 through 2012, I estimate the relationship between state renewable energy financial incentives and residential electricity consumption, along with the associated policy implications. My hypothesis is that a renewable energy rebound effect is present; therefore, states with renewable energy financial incentives have a higher rate of residential electricity consumption. I find a renewable energy rebound effect is present in varying degrees for each model, but the results do not definitively indicate how particular incentives influence consumer behavior. States should use caution when adopting and keeping renewable energy financial incentives as this may increase consumption in the short-term. The long-term impact is unclear, making it worthwhile for policymakers to continue studying the potential for renewable energy financial incentives to alter consumer behavior.

Analyzing the effects of Energy Action Plans on electricity consumption in Covenant of Mayors signatory municipalities in Andalusia

International Nuclear Information System (INIS)

Pablo-Romero, María del P.; Pozo-Barajas, Rafael; Sánchez-Braza, Antonio

2016-01-01

The Covenant of Mayors (CM) is an initiative by which towns, cities and regions voluntarily commit to reduce their CO_2 emissions beyond the European Union climate targets, through policies promoting energy saving and renewable energy. The aim of this paper is to analyze whether joining the CM is reducing municipalities' electricity consumption, and therefore their emissions. For this purpose, the evolution of total, household and public administration electricity consumption from 2001 to 2012 is analyzed by using panel data econometric techniques. This analysis is made for municipalities in Andalusia, the region of Spain with more signatories. Obtained results show that the CM is having a positive effect on the electricity consumption reductions, since the municipalities have greater rates of reduction of electricity consumption after signing the CM. Therefore, it may be considered appropriate to promote policies which incentivize the municipalities to join the CM and develop their action plans, as this can reduce their electricity consumption. - Highlights: • We analyze whether joining the CM is reducing municipalities' electricity consumption. • Results show a positive influence of CM in reducing electricity consumption. • Promoting policies that incentivize to join the CM is appropriate.

Electric vehicle energy consumption modelling and prediction based on road information

NARCIS (Netherlands)

Wang, J.; Besselink, I.J.M.; Nijmeijer, H.

The limited driving range is considered as a significant barrier to the spread of electric vehicles. One effective method to reduce “range anxiety” is to offer accurate information to the driver on the remaining driving range. However, the energy consumption during driving is largely determined by

Comparison of Turkey's electrical energy consumption and production with some European countries and optimization of future electrical power supply investments in Turkey

International Nuclear Information System (INIS)

Tunc, Murat; Camdali, Uenal; Parmaksizoglu, Cem

2006-01-01

Energy issues are directly related to the development of a country and the living standards of its people. Turkey is currently in a rapid industrialization process with a young and dynamic population of over 65 million. Due to relatively high growth rate of the population, increasing consumer oriented attitudes and as a result of rising levels of affluence, the primary energy demand is rising rapidly at an annual rate of 6.7 percent. In this study Turkey's energy resources, installed electric power capacity, electric energy production and consumption rates are investigated and compared with that of France, Germany and Switzerland. Turkey's electric energy consumption rates are predicted with regression analysis for the years of 2010 and 2020 and finally linear mathematical optimization model is developed to predict the distribution of future electrical power supply investments in Turkey

Iron and steel industry and non-ferrous metal production - the electrical energy consumption and energy efficiency

International Nuclear Information System (INIS)

Blazhev, Blagoja; Sofeski, Slobodan

2002-01-01

Companies of iron and steel industry and non-ferrous metal production are the largest individual consumers of electricity and other forms of energy. This paper presents the electricity consumption in the last twenty-year period as well as data for their contribution in creating the gross domestic product (GDP) and engagement of labor force in the country. For some of the companies there is data for energy efficiency (kWh/t i.e. MJ/t) in last five years. (Original)

Energy Consumption Prediction for Electric Vehicles Based on Real-World Data

Directory of Open Access Journals (Sweden)

Cedric De Cauwer

2015-08-01

Full Text Available Electric vehicle (EV energy consumption is variable and dependent on a number of external factors such as road topology, traffic, driving style, ambient temperature, etc. The goal of this paper is to detect and quantify correlations between the kinematic parameters of the vehicle and its energy consumption. Real-world data of EV energy consumption are used to construct the energy consumption calculation models. Based on the vehicle dynamics equation as underlying physical model, multiple linear regression is used to construct three models. Each model uses a different level of aggregation of the input parameters, allowing predictions using different types of available input parameters. One model uses aggregated values of the kinematic parameters of trips. This model allows prediction with basic, easily available input parameters such as travel distance, travel time, and temperature. The second model extends this by including detailed acceleration data. The third model uses the raw data of the kinematic parameters as input parameters to predict the energy consumption. Using detailed values of kinematic parameters for the prediction in theory increases the link between the statistical model and its underlying physical principles, but requires these parameters to be available as input in order to make predictions. The first two models show similar results. The third model shows a worse fit than the first two, but has a similar accuracy. This model has great potential for future improvement.

Does energy consumption by the US electric power sector exhibit long memory behavior?

International Nuclear Information System (INIS)

Gil-Alana, Luis A.; Loomis, David; Payne, James E.

2010-01-01

This study analyzes energy consumption by the US electric power by various energy sources through fractional integration. In doing so, we are able to determine the level of persistence of the shocks affecting each energy source. The results indicate long memory behavior as each energy source is highly persistent, displaying long memory along with autoregressive behavior and strong seasonal patterns.

Electricity consumption and electricity saving in the Swedish households

Energy Technology Data Exchange (ETDEWEB)

Bernstroem, B M; Eklund, Y; Sjoeberg, L

1997-03-01

The objective of the present study is to determine which factors influence electricity consumption behavior of Swedish households, the level of knowledge about electricity use and the willingness to pay for the use of electricity. In Sweden, as in many other developed countries, the need for electric power is constantly increasing. The major reason for this increase in electricity consumption is the lifestyle of a modern society. A feature in the nuclear power discussion is that the government in Sweden is having a hard time to establish how to phase-out all nuclear power plants by 2010. An additional major change in Swedish energy policy is the deregulation of the electricity market, which started in the beginning of 1996. There is an increased demand for strategies to save electricity among households. The results of this study stress the difficulties in reducing electricity consumption and to develop new electricity saving strategies in Sweden 125 refs, 6 figs, 21 tabs

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

Electricity consumption in Geneva's businesses and administration

International Nuclear Information System (INIS)

Bassand, M.; Malatesta, D.; Chevalier, H.

1999-01-01

The article describes a data-collection project that gave an overview of energy consumption in Geneva's businesses and the canton's administration. For the first time, data on the patterns of use of electrical equipment were collected. The development of the sampling process is discussed, and the development of the categories defined for the analysis of the results is described. The role of various types of objects and their typical electricity consumption is discussed and trends in consumption are described. Results discussed include electricity consumption per employee and the degree of awareness regarding costs and consumption in various business types

Household electricity and gas consumption for heating homes

International Nuclear Information System (INIS)

Jeong, Jaehoon; Seob Kim, Chang; Lee, Jongsu

2011-01-01

Energy consumption has been drastically changed because of energy source depletion, price fluctuations, development and penetration of alternative energy sources, and government policies. Household energy sources are interrelated, and energy price and household characteristics, such as income level and dwelling size, affect the usage. To supply energy consistently and achieve a balance between production and consumption, stakeholders must understand consumer energy-consumption behavior. Therefore, this study identifies household heating energy usage patterns and the substitutive and/or complementary relationships between electricity and gas. Based on a multiple discrete-continuous extreme value model, household utility structure is identified from data on gas-heating usage. Results show greater utility and the smallest satiation values for gas boilers than for electric heaters and electric heating beds. The effects of consumer socioeconomic and environmental characteristics on the choice of heating energy sources were analyzed. Also, for further comparison, the respondents were split into high and low categories for income, heating degree days, dwelling size, and gas usage. Gas was found to be the most economical heating choice for households. - Research highlights: → This study investigates household electricity and gas consumption behavior for heating. → It also studied the relationship between two energy sources. → A research framework is suggested by combining the CDA and the MDCEV models. → It provides quantitative data that might be used for designing efficient energy policies.

Baseline test data for the EVA electric vehicle. [low energy consumption automobiles

Science.gov (United States)

Harhay, W. C.; Bozek, J.

1976-01-01

Two electric vehicles from Electric Vehicle Associates were evaluated for ERDA at the Transportation Research Center of Ohio. The vehicles, loaded to a gross vehicle weight of 3750 pounds, had a range of 56.3 miles at a steady speed of 25 mph and a 27.4 miles range during acceleration-deceleration tests to a top speed of 30 mph. Energy consumption varied from 0.48 kw-hr/mi. to 0.59 kw-hr/mi.

ELVIS: Comparing Electric and Conventional Vehicle Energy Consumption and CO2 Emissions

DEFF Research Database (Denmark)

Andersen, Ove; Krogh, Benjamin Bjerre; Torp, Kristian

2017-01-01

Making the transition from conventional combustion vehicles (CVs) to electric vehicles (EVs) requires the users to be comfortable with the limited range of EVs. We present a system named ELVIS that enables a direct comparison of energy/fuel consumption, CO2 emissions, and travel-time between CVs...

A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran

International Nuclear Information System (INIS)

Azadeh, A.; Ghaderi, S.F.; Sohrabkhani, S.

2008-01-01

This study presents an integrated algorithm for forecasting monthly electrical energy consumption based on artificial neural network (ANN), computer simulation and design of experiments using stochastic procedures. First, an ANN approach is illustrated based on supervised multi-layer perceptron (MLP) network for the electrical consumption forecasting. The chosen model, therefore, can be compared to that of estimated by time series model. Computer simulation is developed to generate random variables for monthly electricity consumption. This is achieved to foresee the effects of probabilistic distribution on monthly electricity consumption. The simulated-based ANN model is then developed. Therefore, there are four treatments to be considered in analysis of variance (ANOVA), which are actual data, time series, ANN and simulated-based ANN. Furthermore, ANOVA is used to test the null hypothesis of the above four alternatives being statistically equal. If the null hypothesis is accepted, then the lowest mean absolute percentage error (MAPE) value is used to select the best model, otherwise the Duncan method (DMRT) of paired comparison is used to select the optimum model which could be time series, ANN or simulated-based ANN. In case of ties the lowest MAPE value is considered as the benchmark. The integrated algorithm has several unique features. First, it is flexible and identifies the best model based on the results of ANOVA and MAPE, whereas previous studies consider the best fitted ANN model based on MAPE or relative error results. Second, the proposed algorithm may identify conventional time series as the best model for future electricity consumption forecasting because of its dynamic structure, whereas previous studies assume that ANN always provide the best solutions and estimation. To show the applicability and superiority of the proposed algorithm, the monthly electricity consumption in Iran from March 1994 to February 2005 (131 months) is used and applied to

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.

Energy consumption modeling of air source electric heat pump water heaters

International Nuclear Information System (INIS)

Bourke, Grant; Bansal, Pradeep

2010-01-01

Electric heat pump air source water heaters may provide an opportunity for significant improvements in residential water heater energy efficiency in countries with temperate climates. As the performance of these appliances can vary widely, it is important for consumers to be able to accurately assess product performance in their application to maximise energy savings and ensure uptake of this technology. For a given ambient temperature and humidity, the performance of an air source heat pump water heater is strongly correlated to the water temperature in or surrounding the condenser. It is therefore important that energy consumption models for these products duplicate the real-world water temperatures applied to the heat pump condenser. This paper examines a recently published joint Australian and New Zealand Standard, AS/NZS 4234: 2008; Heated water systems - Calculation of energy consumption. Using this standard a series TRNSYS models were run for several split type air source electric heat pump water heaters. An equivalent set of models was then run utilizing an alternative water use pattern. Unfavorable errors of up to 12% were shown to occur in modeling of heat pump water heater performance using the current standard compared to the alternative regime. The difference in performance of a model using varying water use regimes can be greater than the performance difference between models of product.

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.

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.)

Analysis of the dynamics of the indicators for daily graphs for consumption of electricity of the USSR energy system

Energy Technology Data Exchange (ETDEWEB)

Nekrasov, A M; Lazarenko, T V; Zlatopol' skiy, A N

1982-01-01

The dynamics for the indicators of daily graphs of consumption of electricity in the USSR is the result of interaction of a large number of different-directed factors. Among them in recent years relatively greater influence has come from a change in the structure of consumers of each unified energy system and especially the USSR energy system with the unified energy systems with inclusion in it of large unified energy systems, whose time is shifted on time zones, and intensification of electrical bonds between the unified energy systems. The factor of expansion of the USSR energy system on the territory of the country because of the inclusion of new unified energy systems resulted in condensation of the daily graphs for consumption of electricity of the USSR energy system: increase in the coefficient of filling the daily graphs, their peak and semipeak parts, as well as coefficient of minimum consumption. Taking into consideration the program for further development of the country presented in the main trends for economic and social development of the USSR for 1981-1985 and for the period up to the year 1990, for the current and the near five-year plan, one can expect preservation of the revealed trends for dynamics of the indicators of the daily graphs for electricity consumption of the USSR energy system.

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.

The energy balance of Quebec in 1991: Energy consumption decreases for a second consecutive year and the part provided by electricity increases

International Nuclear Information System (INIS)

Anon.

1992-01-01

An estimate is presented of the energy balance of Quebec for 1991 (unconventional energy sources excluded), and the definitive energy balance for 1990. The estimates for 1991 are based on sales data for the whole year for electric power, petroleum products, and natural gas, and on the first 9 months of data for coal and coke. In 1990, the energy consumption of Quebec reached 32.2 M TEP (tonnes of equivalent petroleum), or a decrease of 1.8% with respect to 1989. In 1991, it reached 31.1 M TEP, or a decrease of 3.5% with respect to 1990. The electric power consumption in 1991 was 149.1 TWh, an increase of 1.0% with respect to 1990, attributed in part to the economic effects of the recession. The consumption of petroleum products for energy uses attained 93.5 M bbl in 1991, or a drop of 7.3% with respect to 1990. This drop is also attributed to economic reasons. Natural gas sales in 1991 totalled 193.2 billion ft 3 , or a decrease of 2.3% from 1990. In the residential sector, natural gas sales fell 8%, while sales in the industrial and commercial sectors fell 1.6% and 1.3% respectively. Data on energy consumption are given as a function of the energy source (petroleum, coal and coke, natural gas and electric power), as a function of the consuming sector (for electric power and natural gas) or as a function of the nature of the product (for petroleum products). 4 figs., 4 tabs

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.

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

Harnessing Big-Data for Estimating the Energy Consumption and Driving Range of Electric Vehicles

DEFF Research Database (Denmark)

Fetene, Gebeyehu Manie; Prato, Carlo Giacomo; Kaplan, Sigal

-effects econometrics model used in this paper predicts that the energy saving speed of driving is between 45 and 56 km/h. In addition to the contribution to the literature about energy efficiency of electric vehicles, the findings from this study enlightens consumers to choose appropriate cars that suit their travel......This study analyses the driving range and investigates the factors affecting the energy consumption rate of fully-battery electric vehicles under real-world driving patterns accounting for weather condition, drivers’ characteristics, and road characteristics. Four data sources are used: (i) up...

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...

Electrical heating tapes, their use, energy consumption and energy savings potential

International Nuclear Information System (INIS)

Nipkow, J.; Lingenhel, S.

2002-01-01

Heating cables require about 0.6% of Swiss electricity consumption, approximately as much as all TV-sets. Most important applications are domestic hot water distribution tubing, frost protection (tubing, gutters) and industrial tubing, each requiring about 1/3. For over 10 years, self-regulating technology is standard for heating cables and offers pre-defined maintenance temperatures. To minimize electricity consumption, in most applications additional control devices (timer, temperature-/ power control) are necessary. The study could not give a general answer to whether domestic hot water distribution systems should be heated by heating cables or circulation systems. The best solution depends on the specific building circumstances. Conclusions of the technical and market analysis say that measures in different fields can transfer the saving potentials into practice: architects and designers of sanitary and electrical installations should be informed by articles in specialized magazines: the goal is either to avoid the use of heating cables or to minimize their electricity consumption, training of plumbers and electricians should treat the efficient use of heating cables. An instruction leaflet is to be created. Building owners and operators should be informed by their specialized magazines about problems with heating cables. (author)

Heat-electrical regeneration way to intensive energy saving in an electric arc furnaces

Science.gov (United States)

Kartavtcev, S.; Matveev, S.; Neshporenko, E.

2018-03-01

Energy saving in steel production is of great significance for its large economical scale of 1500 mil t/year and high-energy consumption. Steady trend of last years is an increase of steel production in electric arc furnaces (EAF) with a very high consumption of electricity up to 750 kWh/ton. The intention to reduce so much energy consumption they can reach by many ways. One of such way is a transforming heat energy of liquid steel to electricity and destine it to steel electric arc process. Under certain conditions, it may lead to “zero” consumption of electric power in the process. The development of these conditions leads to the formation of energy-efficient heat schemes, with a minimum electricity consumption from the external network.

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

Electricity consumption, industrial production, and entrepreneurship in Singapore

International Nuclear Information System (INIS)

Sun, Sizhong; Anwar, Sajid

2015-01-01

Within the context of a tri-variate vector autoregressive framework that includes entrepreneurship, this paper examines the link between electricity consumption and industrial production in Singapore's manufacturing sector. Unlike the existing studies, this paper focuses on one sector of the economy and utilises a unique monthly dataset. Empirical analysis based on Johansen's cointegration approach shows that the three variables are cointegrated – i.e., a stable long-run relationship exists among electricity consumption, output and entrepreneurship in Singapore's manufacturing sector. Empirical analysis based on data from January 1983 to February 2014 reveals that electricity consumption adjusts very slowly to shocks to industrial production and entrepreneurship. Furthermore, entrepreneurship Granger causes electricity consumption, which causes industrial production. As electricity consumption causes industrial output, the growth hypothesis concerning energy consumption and economic growth holds in Singapore's manufacturing sector and policies that restrict electricity production, without electricity imports, are likely to lead to a decline in the manufacturing output. - Highlights: • Using a unique monthly dataset, we focus on Singapore's manufacturing sector. • Electricity consumption, output and entrepreneurship are cointegrated. • Electricity consumption adjusts very slowly to shocks to the other variables. • Entrepreneurship causes electricity consumption which causes industrial production. • We find that growth hypothesis governs the electricity consumption and real output

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)

Forecasting electricity consumption in Pakistan: the way forward

International Nuclear Information System (INIS)

Hussain, Anwar; Rahman, Muhammad; Memon, Junaid Alam

2016-01-01

Growing shortfall of electricity in Pakistan affects almost all sectors of its economy. For proper policy formulation, it is imperative to have reliable forecasts of electricity consumption. This paper applies Holt-Winter and Autoregressive Integrated Moving Average (ARIMA) models on time series secondary data from 1980 to 2011 to forecast total and component wise electricity consumption in Pakistan. Results reveal that Holt-Winter is the appropriate model for forecasting electricity consumption in Pakistan. It also suggests that electricity consumption would continue to increase throughout the projected period and widen the consumption-production gap in case of failure to respond the issue appropriately. It further reveals that demand would be highest in the household sector as compared to all other sectors and the increase in the energy generation would be less than the increase in total electricity consumption throughout the projected period. The study discuss various options to reduce the demand-supply gap and provide reliable electricity to different sectors of the economy. - Highlights: • We forecast total and component wise electricity consumption for Pakistan. • Electricity shortfall in Pakistan will increase in future if same situation exists. • Various options exist to cope with the electricity crisis in the country. • Holt-winter model gives best forecasts for electricity consumption in the country.

Electric and hydrogen consumption analysis in plug-in road vehicles

Energy Technology Data Exchange (ETDEWEB)

Ribau, Joao P.; Silva, Carla M.; Faria, Tiago L. [IDMEC, Instituto Superior Tecnico, Technical University of Lisbon, Department of Mechanical Engineering, Av. Rovisco Pais, 1 Pav. Mecanica I, 2 andar, 1049-001 Lisboa (Portugal)

2010-07-01

The main goal of the present study is to analyze some of the capabilities and behavior of two types of plug-in cars: battery electric and hydrogen fuel cell hybrid electric, facing different driving styles, different road gradients, different occupation rates, different electrical loads, and different battery's initial state of charge. In order to do that, four vehicles with different power/weight (kW/kg) ratio (0.044 to 0.150) were simulated in the software ADVISOR, which gives predictions of energy consumption, and behavior of vehicle's power train components (including energy regeneration) along specified driving cycles. The required energy, electricity and/or hydrogen, to overcome the specified driving schedules, allowed to estimate fuel life cycle's CO2 emissions and primary energy. A vehicle with higher power/weight ratio (kW/kg) demonstrated to be less affected in operation and in variation of the energy consumption, facing the different case studies, however may have higher consumptions in some cases. The autonomy, besides depending on the fuel consumption, is directly associated with the type and capacity (kWh) of the chosen battery, plus the stored hydrogen (if fuel cell vehicles are considered, PHEV-FC). The PHEV-FC showed to have higher autonomy than the battery vehicles, but higher energy consumption which is extremely dependent on the type and ratio of energy used, hydrogen or electricity. An aggressive driving style, higher road gradient and increase of weight, required more energy and power to the vehicle and presented consumption increases near to 77%, 621%, 19% respectively. Higher electrical load and battery's initial state of charge, didn't affect directly vehicle's dynamic. The first one drained energy directly from the battery plus demanded a fraction of its power, with energy consumption maximum increasing near 71%. The second one restricted the autonomy without influence directly the energy consumption per

Energy, electricity and nuclear power

International Nuclear Information System (INIS)

Reuss, P.; Naudet, G.

2008-01-01

After an introduction recalling what energy is, the first part of this book presents the present day energy production and consumption and details more particularly the electricity 'vector' which is an almost perfect form of energy despite the fact that it is not a primary energy source: it must be generated from another energy source and no large scale storage of this energy is possible. The second part of the book is devoted to nuclear energy principles and to the related technologies. Content: 1 - What does energy mean?: the occurrence of the energy concept, the classical notion of energy, energy notion in modern physics, energy transformations, energy conservation, irreversibility of energy transformations, data and units used in the energy domain; 2 - energy production and consumption: energy systems, energy counting, reserves and potentialities of energy resources, production of primary energies, transport and storage of primary energies, energy consumption, energy saving, energy markets and prices, energy indicators; 3 - electric power: specificity of electricity and the electric system, power networks, power generation, electricity storage, power consumption and demand, power generation economics, electricity prices and market; 4 - physical principles of nuclear energy: nuclei structure and binding energy, radioactivity and nuclear reactions, nuclear reactions used in energy generation, basics of fission reactors physics; 5 - nuclear techniques: historical overview, main reactor types used today, perspectives; 6 - fuel cycle: general considerations, uranium mining, conversion, enrichment, fuel fabrication, back-end of the cycle, plutonium recycle in water cooled reactors; 7 - health and environmental aspects of nuclear energy: effects on ionizing radiations, basics of radiation protection, environmental impacts of nuclear energy, the nuclear wastes problem, specific risks; 8 - conclusion; 9 - appendixes (units, physics constants etc..)

Three aspects of the Germany-France comparison on electricity. Electricity production and consumption in Germany

International Nuclear Information System (INIS)

Laponche, Bernard

2014-01-01

As a comparative overview of the French and German situation regarding electric power, a first article proposes tables and graphs illustrating data evolution, and brief comments about these evolutions. Comparison focuses on household electricity consumption, on electricity exchanges, and on the production of electricity based on renewable energies. An appendix proposes a presentation of the German policy for energy transition: principles and objectives, phasing out nuclear, implementation. Then, an article, illustrated by data tables and graphs, discusses the evolution of electric power production and consumption in Germany between 2000 and 2013. The author addresses power final consumption, power total production and exchanges, the components of electric power production, and greenhouse gas emissions (by fossil fuel, by sector, and by electricity and heat production)

Development of electric vehicles use in China: A study from the perspective of life-cycle energy consumption and greenhouse gas emissions

International Nuclear Information System (INIS)

Zhou, Guanghui; Ou, Xunmin; Zhang, Xiliang

2013-01-01

China has promoted the use of electric vehicles vigorously since 2009; the program is still in its pilot phase. This study investigates the development of electric vehicle use in China from the perspectives of energy consumption and greenhouse-gas (GHG) emissions. Energy consumption and GHG emissions of plug-in hybrid electric vehicles (PHEVs) and pure battery electric vehicles (BEVs) are examined on the level of the regional power grid in 2009 through comparison with the energy consumption and GHG emissions of conventional gasoline internal combustion engine vehicles. The life-cycle analysis module in Tsinghua-LCAM, which is based on the GREET platform, is adopted and adapted to the life-cycle analysis of automotive energy pathways in China. Moreover, medium term (2015) and long term (2020) energy consumption and greenhouse-gas emissions of PHEVs and BEVs are projected, in accordance with the expected development target in the Energy Efficient and Alternative Energy Vehicles Industry Development Plan (2012–2020) for China. Finally, policy recommendations are provided for the proper development of electric vehicle use in China. - Highlights: • There was a marked difference in energy saving and GHG emission reduction for EVs powered by regional grids in China. • Energy saving and GHG emission reduction from EVs development will be more obvious in China in future. • EVs development will benefit the strategy of oil/ petroleum substitute in China

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)

Estimating the global public health implications of electricity and coal consumption.

Science.gov (United States)

Gohlke, Julia M; Thomas, Reuben; Woodward, Alistair; Campbell-Lendrum, Diarmid; Prüss-Üstün, Annette; Hales, Simon; Portier, Christopher J

2011-06-01

The growing health risks associated with greenhouse gas emissions highlight the need for new energy policies that emphasize efficiency and low-carbon energy intensity. We assessed the relationships among electricity use, coal consumption, and health outcomes. Using time-series data sets from 41 countries with varying development trajectories between 1965 and 2005, we developed an autoregressive model of life expectancy (LE) and infant mortality (IM) based on electricity consumption, coal consumption, and previous year's LE or IM. Prediction of health impacts from the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) integrated air pollution emissions health impact model for coal-fired power plants was compared with the time-series model results. The time-series model predicted that increased electricity consumption was associated with reduced IM for countries that started with relatively high IM (> 100/1,000 live births) and low LE (electricity consumption regardless of IM and LE in 1965. Increasing coal consumption was associated with increased IM and reduced LE after accounting for electricity consumption. These results are consistent with results based on the GAINS model and previously published estimates of disease burdens attributable to energy-related environmental factors, including indoor and outdoor air pollution and water and sanitation. Increased electricity consumption in countries with IM consumption has significant detrimental health impacts.

2004 energy balances and electricity profiles

International Nuclear Information System (INIS)

2007-02-01

The Energy Balances and Electricity Profiles 2004 is the thirteenth issue in an internationally series of comparable energy data for selected developing countries. The data are arranged to show energy production, trade, conversion and consumption for each fuel used in the country. This publication is a source of overall consumption statistics of energy commodities in all sectors. Special electricity profiles for an additional group of countries are published to cover, exclusively, detailed information on production, trade and consumption of electricity, net installed capacity and thermal power plant input for selected developing countries

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.

Electricity consumption and economic growth in Burkina Faso: A cointegration analysis

International Nuclear Information System (INIS)

Ouedraogo, Idrissa M.

2010-01-01

This study empirically establishes the direction of causality between electricity consumption and economic growth in Burkina Faso for the period 1968-2003. The bounds test yields evidence of cointegration between electricity consumption, GDP, and capital formation when electricity consumption and GDP are used as dependent variable. Causality results indicate that there is no significant causal relationship between electricity consumption and investment. Estimates, however, detect in the long-run a bidirectional causal relationship between electricity use and real GDP. There is also evidence of a positive feedback causal relationship between GDP and capital formation. Burkina Faso is therefore an energy dependent country. It is also a country in which electricity consumption is growing with the level of income. All of this shows that electricity is a significant factor in socio-economic development in Burkina Faso; as such, energy policy must be implemented to ensure that electricity generates fewer potential negative impacts.

Modeling Residential Electricity Consumption Function in Malaysia: Time Series Approach

OpenAIRE

L. L. Ivy-Yap; H. A. Bekhet

2014-01-01

As the Malaysian residential electricity consumption continued to increase rapidly, effective energy policies, which address factors affecting residential electricity consumption, is urgently needed. This study attempts to investigate the relationship between residential electricity consumption (EC), real disposable income (Y), price of electricity (Pe) and population (Po) in Malaysia for 1978-2011 period. Unlike previous studies on Malaysia, the current study focuses on the residential secto...

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.

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.

Research on improving energy efficiency and the annual distributing structure in electricity and gas consumption by extending use of GEHP

International Nuclear Information System (INIS)

Yang Zhao; Cheng Heng; Wu Xi; Chen Yiguang

2011-01-01

The gas engine-driven heat pump (GEHP), which has been considered as a preferable choice in the heating and air-conditioning scheme can make full use of the waste heat from the engine and achieve a higher primary energy ratio (PER) than other forms of heating/cooling systems. In this paper, the relationship between the capacity characteristic of the GEHP and the heating and cooling loads of buildings has been analyzed. Meanwhile the reasons of the imbalance of the urban electricity and natural gas consumptions between summer and winter have been studied. The running characteristic of a water-to-water GEHP has been investigated experimentally and the PER was measured. Based on the analysis and experimental results, it could be concluded that if both the gas-fired boilers and electric air conditioners are replaced by GEHPs in some percentage, we can narrow the gaps between the requirement and provision of electricity and natural gas and balance the seasonal consumption differences of electricity and natural gas between summer and winter simultaneously. In order to improve energy efficiency, environmental quality and energy consumption structure effectively, the governmental incentive policies for promoting use of GEHPs should be formulated in China and some other developing countries. - Highlights: → The GEHP is more energy-efficient than the traditional electric-driven heat pump. → Capacity of GEHP can be easily adjusted to meet the load variation of buildings. → Extending the use of the GEHP can balance the electricity and gas consumptions. → The GEHP is good for improving the energy consumption configuration of countries. → The GEHP could play an important role in the aspect of society and environment.

Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China

International Nuclear Information System (INIS)

Ou, Xunmin; Xiaoyu, Yan; Zhang, Xiliang

2011-01-01

The Well-to-Meter (WTM) analysis module in the Tsinghua-CA3EM model has been used to examine the primary fossil energy consumption (PFEC) and greenhouse gas (GHG) emissions for electricity generation and supply in China. The results show that (1) the WTM PFEC and GHG emission intensities for the 2007 Chinese electricity mix are 3.247 MJ/MJ and 297.688 g carbon dioxide of equivalent (gCO 2,e )/MJ, respectively; (2) power generation is the main contributing sub-stage; (3) the coal-power pathway is the only major contributor of PFEC (96.23%) and GHG emissions (97.08%) in the 2007 mix; and (4) GHG emissions intensity in 2020 will be reduced to 220.470 gCO 2,e /MJ with the development of nuclear and renewable energy and to 169.014 gCO 2,e /MJ if carbon dioxide capture and storage (CCS) technology is employed. It is concluded that (1) the current high levels of PFEC and GHG emission for electricity in China are largely due to the dominant role of coal in the power-generation sector and the relatively low efficiencies during all the sub-stages from resource extraction to final energy consumption and (2) the development of nuclear and renewable energy as well as low carbon technologies such as CCS can significantly reduce GHG emissions from electricity. (author)

Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China

Energy Technology Data Exchange (ETDEWEB)

Ou, Xunmin [Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China); China Automotive Energy Research Center (CAERC), Beijing 100084 (China); School of Public Policy and Management (SPPM), Tsinghua University, Beijing 100084 (China); Xiaoyu, Yan [Smith School of Enterprise and the Environment, University of Oxford, Oxford OX1 2BQ (United Kingdom); Zhang, Xiliang [Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084 (China); China Automotive Energy Research Center (CAERC), Beijing 100084 (China)

2011-01-15

The Well-to-Meter (WTM) analysis module in the Tsinghua-CA3EM model has been used to examine the primary fossil energy consumption (PFEC) and greenhouse gas (GHG) emissions for electricity generation and supply in China. The results show that (1) the WTM PFEC and GHG emission intensities for the 2007 Chinese electricity mix are 3.247 MJ/MJ and 297.688 g carbon dioxide of equivalent (gCO{sub 2,e})/MJ, respectively; (2) power generation is the main contributing sub-stage; (3) the coal-power pathway is the only major contributor of PFEC (96.23%) and GHG emissions (97.08%) in the 2007 mix; and (4) GHG emissions intensity in 2020 will be reduced to 220.470 gCO{sub 2,e}/MJ with the development of nuclear and renewable energy and to 169.014 gCO{sub 2,e}/MJ if carbon dioxide capture and storage (CCS) technology is employed. It is concluded that (1) the current high levels of PFEC and GHG emission for electricity in China are largely due to the dominant role of coal in the power-generation sector and the relatively low efficiencies during all the sub-stages from resource extraction to final energy consumption and (2) the development of nuclear and renewable energy as well as low carbon technologies such as CCS can significantly reduce GHG emissions from electricity. (author)

Electric Energy Access in Bangladesh

Directory of Open Access Journals (Sweden)

Muhammad Taheruzzaman

2016-07-01

Full Text Available This paper represents the overall electrical energy profile and access in Bangladesh. In the recent past Bangladesh has been experiencing shortage of electricity, and about 42 % of population no access to the electricity. The electricity consumption has rapidly increased over last decade. The demand and consumption will intensify in the remote future as overall development and future growth. To set “vision 2021” of Bangladesh; government of Bangladesh has devoted to ensuring access of affordable and reliable electricity for all by 2021. In the modern time, energy is the vital ingredient for socioeconomic growth in the developing country i.e., alleviating poverty. Along with electricity access in Bangladesh strived to become middle income country by 2021. Bangladesh has experienced that energy consumption inclines to increase rapidly when per capita income researches between US$ 1,000 and US$ 10,000, and a country’s

Influence of air temperature on electric consumption in Moscow

Science.gov (United States)

Lokoshchenko, Mikhail A.; Nikolayeva, Nataliya A.

2017-04-01

For the first time for mid latitudes and with the use of long-term data of Moscow State University Meteorological observatory a dependence of electric power consumption E on the air temperature T has been studied for each separate day for the period from 1990 to 2015 (totally - 9496 values). As a result, it is shown that the relation is in general decreasing in conditions of cold Moscow region: energy consumption as a rule reduces with a rise of the temperature. However, in time of severe frosts the energy consumption increasing goes to nothing due to special measures for energy savings whereas during heat wave episodes of extremely hot weather (especially in summer of 2010) an opposite tendency appears to the energy consumption increase with the increase of the air temperature due to additional consumption for the air conditioning. This relation between E and T is statistically significant with extremely high confidence probability (more than 0.999). The optimum temperature for the energy saving is 18 ˚C. The air temperature limit values in Moscow during last decades have been discussed. Daily-averaged T varied from -28.0 ˚C in January of 2006 to +31.4 ˚C in August of 2010 so a range of this parameter is almost 60 ˚C. Catastrophic heat wave in 2010 appeared as a secondary summer maximum of the electric consumption annual course. The relation between E and T for separate years demonstrates strong weekly periodicity at the dynamics of E daily values. As a result statistical distribution of E daily values for separate years is bimodal. One its mode is connected with working-days and another one - with non-work days (Saturday, Sunday and holidays) when consumption is much less. In recent time weekly cycle at the electric consumption became weaker due to total fall of industry in Moscow. In recent years the dependence of energy consumption on the air temperature generally became stronger - probably due to changes of its structure (growth of non-industrial users

Lifestyle factors in U.S. residential electricity consumption

International Nuclear Information System (INIS)

Sanquist, Thomas F.; Orr, Heather; Shui Bin; Bittner, Alvah C.

2012-01-01

A multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated. Factor analysis of selected variables from the 2005 U.S. Residential Energy Consumption Survey (RECS) identified five lifestyle factors reflecting social and behavioral patterns associated with air conditioning, laundry usage, personal computer usage, climate zone of residence, and TV use. These factors were also estimated for 2001 RECS data. Multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40% of the variance in electricity consumption for both years. By adding the household and market characteristics of income, local electricity price and access to natural gas, variance accounted for is increased to approximately 54%. Income contributed ∼1% unique variance to the models, indicating that lifestyle factors reflecting social and behavioral patterns better account for consumption differences than income. Geographic segmentation of factor scores shows distinct clusters of consumption and lifestyle factors, particularly in suburban locations. The implications for tailored policy and planning interventions are discussed in relation to lifestyle issues. - Highlights: ► Illustrates lifestyle analysis of residential electricity consumption. ► Lifestyle factors based on social and behavioral decisions and equipment use. ► Regression models using lifestyle factors account for 40% of consumption variance. ► Lifestyle factors are stable over time when applied to other data sets. ► Energy reduction opportunities are identified by segmentation analysis.

The electricity consumption and economic growth nexus: Evidence from Greece

International Nuclear Information System (INIS)

Polemis, Michael L.; Dagoumas, Athanasios S.

2013-01-01

This paper attempts to cast light into the relationship between electricity consumption and economic growth in Greece in a multivariate framework. For this purpose we used cointegration techniques and the vector error correction model in order to capture short-run and long-run dynamics over the sample period 1970–2011. The empirical results reveal that in the long-run electricity demand appears to be price inelastic and income elastic, while in the short-run the relevant elasticities are below unity. We also argue that the causal relationship between electricity consumption and economic growth in Greece is bi-directional. Our results strengthen the notion that Greece is an energy dependent country and well directed energy conservation policies could even boost economic growth. Furthermore, the implementation of renewable energy sources should provide significant benefits ensuring sufficient security of supply in the Greek energy system. This evidence can provide a new basis for discussion on the appropriate design and implementation of environmental and energy policies for Greece and other medium sized economies with similar characteristics. -- Highlights: •We examine the causality between electricity consumption and economic growth. •We used cointegration techniques to capture short-run and long-run dynamics. •The relationship between electricity consumption and GDP is bi-directional. •Residential energy switching in Greece is still limited. •The implementation of renewable energy sources should ensure security of supply

Causality relationship between electricity consumption and GDP in Bangladesh

International Nuclear Information System (INIS)

Mozumder, Pallab; Marathe, Achla

2007-01-01

In this paper, we examine the causal relationship between the per capita electricity consumption and the per capita GDP for Bangladesh using cointegration and vector error correction model. Our results show that there is unidirectional causality from per capita GDP to per capita electricity consumption. However, the per capita electricity consumption does not cause per capita GDP in case of Bangladesh. The finding has significant implications from the point of view of energy conservation, emission reduction and economic development

Energy control in industry ''case of SAP Olympic''. ''Pre- energy diagnosis of SAP Olympic: optimization of consumption of electricity and compressed air''

International Nuclear Information System (INIS)

Zemba, Ouamsibiri Ernest

2007-01-01

This document is a report of a training course to graduate university degree in electronic engineering. It tackles the important question of the competitiveness of Burkina Faso societies in the UEMOA zone. The cost of energy is very high for these societies. This situation affects the distribution of their products. In this case the societies have to optimize their energy consumption. A company as SAP Olympic is supplied energy by a primary tension of 15 KV and a contractual demand of 750 kWh. This society works on 24 hours a day, from Monday to Saturday. Its energy consumption raised and was accentuated by the lack of measuring devices, controls, adjustments and monitoring. That is also caused the one's age of the equipment and installations: all that involves over consumptions and thus penalties of going beyond the contractual demand. It would thus be necessary to have an electric diagram, to have numerical analyzers of electricity consumption and to subscribe has a higher power in order to carry out savings of time of maintenance, availability of production, equipment and staff safety and in order to avoid the penalties of going beyond [fr

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.)

Second-home electricity consumption

International Nuclear Information System (INIS)

Andersen, Frits M.; Christensen, Morten S.; Jensen, Ole Michael; Kofoed, Niels-Ulrik; Morthorst, Poul Erik

2008-01-01

In Denmark, electricity consumption in first and second homes has developed quite differently. Since 1990, electricity consumption in ordinary residences has grown moderately, while consumption in weekend and second homes has increased considerably. In turn, this development has been blamed on a growing number of luxury cottages, new legislation permitting senior citizens to have their permanent address in their second home and a growing number of electric appliances. In order to examine the growing electricity consumption in second homes and to estimate future demand, a multidisciplinary study combining top-down and bottom-up analyses was conducted, i.e., combining models using aggregated economic parameters and feasibility studies using technical parameters, respectively. The top-down estimation showed that changes in electricity consumption in second homes correlate to changes in income. The bottom-up estimation showed that consumption was mainly affected by the frequency with which second homes were used in the winter time. This indicates that additional second homes, increased full-time use and intensified use of electric appliances are the main reasons for the observed increases in electricity consumption. Luxury tourism use and senior citizens' that use a few per cent of the second homes as their home contribute to a minor degree to the overall increase of electricity consumption. Scenarios show that this development may accelerate with increased leisure time, increased use and more permanent settlement in second homes

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

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.

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

Electricity consumption and economic growth in seven South American countries

International Nuclear Information System (INIS)

Yoo, Seung-Hoon; Kwak, So-Yoon

2010-01-01

This paper attempts to investigate the causal relationship between electricity consumption and economic growth among seven South American countries, namely Argentina, Brazil, Chile, Columbia, Ecuador, Peru, and Venezuela using widely accepted time-series techniques for the period 1975-2006. The results indicate that the causal nexus between electricity consumption and economic growth varies across countries. There is a unidirectional, short-run causality from electricity consumption to real GDP for Argentina, Brazil, Chile, Columbia, and Ecuador. This means that an increase in electricity consumption directly affects economic growth in those countries. In Venezuela, there is a bidirectional causality between electricity consumption and economic growth. This implies that an increase in electricity consumption directly affects economic growth and that economic growth also stimulates further electricity consumption in that country. However, no causal relationships exist in Peru. The documented evidence from seven South American countries can provide useful information for each government with regard to energy and growth policy.

Experimental Evaluation of Simple Thermal Storage Control Strategies in Low-Energy Solar Houses to Reduce Electricity Consumption during Grid On-Peak Periods

Directory of Open Access Journals (Sweden)

Kyoung-Ho Lee

2015-08-01

Full Text Available There is growing interest in zero-energy and low-energy buildings, which have a net energy consumption (on an annual basis of almost zero. Because they can generate both electricity and thermal energy through the use of solar photovoltaic (PV and solar thermal collectors, and with the help of reduced building thermal demand, low-energy buildings can not only make a significant contribution to energy conservation on an annual basis, but also reduce energy consumption and peak demand. This study focused on electricity consumption during the on-peak period in a low-energy residential solar building and considers the use of a building’s thermal mass and thermal storage to reduce electricity consumption in summer and winter by modulation of temperature setpoints for heat pump and indoor thermostats in summer and additional use of a solar heating loop in winter. Experiments were performed at a low-energy solar demonstration house that has solar collectors, hot water storage, a ground-coupled heat pump, and a thermal storage tank. It was assumed that the on-peak periods were from 2 pm to 5 pm on hot summer days and from 5 pm to 8 pm on cold winter days. To evaluate the potential for utilizing the building’s thermal storage capacity in space cooling and heating, the use of simple control strategies on three test days in summer and two test days in the early spring were compared in terms of net electricity consumption and peak demand, which also considered the electricity generation from solar PV modules on the roof of the house.

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

Electric Energy Consumption of the Full Scale Research Biogas Plant “Unterer Lindenhof”: Results of Longterm and Full Detail Measurements

Directory of Open Access Journals (Sweden)

Thomas Jungbluth

2012-12-01

Full Text Available This work thoroughly evaluates the electric power consumption of a full scale, 3 × 923 m3 complete stirred tank reactor (CSTR research biogas plant with a production capacity of 186 kW of electric power. The plant was fed with a mixture of livestock manure and renewable energy crops and was operated under mesophilic conditions. This paper will provide an insight into precise electric energy consumption measurements of a full scale biogas plant over a period of two years. The results showed that a percentage of 8.5% (in 2010 and 8.7% (in 2011 of the produced electric energy was consumed by the combined heat and power unit (CHP, which was required to operate the biogas plant. The consumer unit agitators with 4.3% (in 2010 and 4.0% (in 2011 and CHP unit with 2.5% (in 2010 and 2011 accounted for the highest electrical power demand, in relation to the electric energy produced by the CHP unit. Calculations show that 51% (in 2010 and 46% (in 2011 of the total electric energy demand was due to the agitators. The results finally showed the need for permanent measurements to identify and quantify the electric energy saving potentials of full scale biogas plants.

Second-home electricity consumption

Energy Technology Data Exchange (ETDEWEB)

Andersen, Frits M.; Morthorst, Poul Erik [Risoe, Systems Analysis Department, Technical University of Denmark, P.O. Box 49, DK-4000 Roskilde (Denmark); Christensen, Morten S.; Kofoed, Niels-Ulrik [Esbensen Consulting Engineers, Carl Jacobsens Vej 25D, DK-2500 Valby (Denmark); Jensen, Ole Michael [Danish Building Research Institute, Department of Energy and Environment, University of Aalborg, P.O. Box 119, DK-2970 Horsholm (Denmark)

2008-01-15

In Denmark, electricity consumption in first and second homes has developed quite differently. Since 1990, electricity consumption in ordinary residences has grown moderately, while consumption in weekend and second homes has increased considerably. In turn, this development has been blamed on a growing number of luxury cottages, new legislation permitting senior citizens to have their permanent address in their second home and a growing number of electric appliances. In order to examine the growing electricity consumption in second homes and to estimate future demand, a multidisciplinary study combining top-down and bottom-up analyses was conducted, i.e., combining models using aggregated economic parameters and feasibility studies using technical parameters, respectively. The top-down estimation showed that changes in electricity consumption in second homes correlate to changes in income. The bottom-up estimation showed that consumption was mainly affected by the frequency with which second homes were used in the winter time. This indicates that additional second homes, increased full-time use and intensified use of electric appliances are the main reasons for the observed increases in electricity consumption. Luxury tourism use and senior citizens' that use a few per cent of the second homes as their home contribute to a minor degree to the overall increase of electricity consumption. Scenarios show that this development may accelerate with increased leisure time, increased use and more permanent settlement in second homes. (author)

Modeling hourly consumption of electricity and district heat in non-residential buildings

International Nuclear Information System (INIS)

Kipping, A.; Trømborg, E.

2017-01-01

Models for hourly consumption of heat and electricity in different consumer groups on a regional level can yield important data for energy system planning and management. In this study hourly meter data, combined with cross-sectional data derived from the Norwegian energy label database, is used to model hourly consumption of both district heat and electrical energy in office buildings and schools which either use direct electric heating (DEH) or non-electric hydronic heating (OHH). The results of the study show that modeled hourly total energy consumption in buildings with DEH and in buildings with OHH (supplied by district heat) exhibits differences, e.g. due to differences in heat distribution and control systems. In a normal year, in office buildings with OHH the main part of total modeled energy consumption is used for electric appliances, while in schools with OHH the main part is used for heating. In buildings with OHH the share of modeled annual heating energy is higher than in buildings with DEH. Although based on small samples our regression results indicate that the presented method can be used for modeling hourly energy consumption in non-residential buildings, but also that larger samples and additional cross-sectional information could yield improved models and more reliable results. - Highlights: • Schools with district heating (DH) tend to use less night-setback. • DH in office buildings tends to start earlier than direct electric heating (DEH). • In schools with DH the main part of annual energy consumption is used for heating. • In office buildings with DH the main part is used for electric appliances. • Buildings with DH use a larger share of energy for heating than buildings with DEH.

DYNAMIC MODEL “ELECTRICITY CONSUMPTION - GDP” FOR REPUBLIC OF MOLDOVA

Directory of Open Access Journals (Sweden)

Sit B.M.

2007-04-01

Full Text Available The article is devoted to the development of econometric models of electricity consumption in Republic of Moldova with the purpose of definition of potential possibilities of GPD influence on electricity consumption processes.In this paper, we examine the causal relationship between the per capita electricity consumption and the per capita GDP for Republic of Moldova using VAR model. Our results show that there is bidirectional causality from per capita GDP to per capita electricity consumption and vice versa. The finding has significant implications from the point of view of energy conservation, emission reduction and economic development.

Household consumption of electricity in Brazil between 1985 and 2013

International Nuclear Information System (INIS)

Villareal, Maria José Charfuelan; Moreira, João Manoel Losada

2016-01-01

This article describes the electricity consumption in Brazilian residences between 1985 and 2013 through linear regressions. The explanatory variables considered were the number of households, effective consumption of families as a proxy for family income, and electricity tariff for households. To deal with the power generation crisis of 2001 we have introduced a dummy variable in the form of a step function. With such explanatory variables, we were able to account for the reduction of household electricity consumption caused by the policies conducted in 2001 and their permanent consequences. The regression presented coefficient of determination of 0.9892, and the several statistic tests conducted assured the existence of long-term relation between the electricity consumption in residences and the explanatory variables. The obtained elasticities for the household consumption of electricity with respect to number of residences, family income and residential tariff of electricity were 1.534±0.095, 0.189±0.049, and −0.230±0.060, respectively. These results allowed understanding the evolution over time of the household consumption of electricity in Brazil. They suggest that the electric sector in Brazil should pursue an active policy to manage demand of residential electricity using tariffs as a means to control it. - Highlights: •Brazilian residential electricity sector. •Special Features and structure of the residential electricity consumption. •Representation and modeling of electrical energy consumption. •Elasticities consumption-tariff; consumption-income; consumption- households.

A New System to Estimate and Reduce Electrical Energy Consumption of Domestic Hot Water in Spain

Directory of Open Access Journals (Sweden)

Alberto Gutierrez-Escolar

2014-10-01

Full Text Available Energy consumption rose about 28% over the 2001 to 2011 period in the Spanish residential sector. In this environment, domestic hot water (DHW represents the second highest energy demand. There are several methodologies to estimate DHW consumption, but each methodology uses different inputs and some of them are based on obsolete data. DHW energy consumption estimation is a key tool to plan modifications that could enhance this consumption and we decided to update the methodologies. We studied DHW consumption with data from 10 apartments in the same building during 18 months. As a result of the study, we updated one chosen methodology, adapting it to the current situation. One of the challenges to improve efficiency of DHW use is that most of people are not aware of how it is consumed in their homes. To help this information to reach consumers, we developed a website to allow users to estimate the final electrical energy needed for DHW. The site uses three estimation methodologies and chooses the best fit based on information given by the users. Finally, the application provides users with recommendations and tips to reduce their DHW consumption while still maintaining the desired comfort level.

Electricity consumption-growth nexus. The case of Malaysia

International Nuclear Information System (INIS)

Chandran, V.G.R.; Sharma, Susan; Madhavan, Karunagaran

2010-01-01

The goal of this paper is to model the relationship between electricity consumption and real gross domestic product (GDP) for Malaysia in a bivariate and multivariate framework. We use time series data for the period 1971-2003 and apply the bounds testing approach to search for a long-run relationship. Our results reveal that electricity consumption, real GDP and price share a long-run relationship. The results of the autoregressive distributed lag (ARDL) estimates of long-run elasticity of electricity consumption on GDP are found to be around 0.7 and statistically significant. Finally, in the short-run, the results of the causality test show that there is a unidirectional causal flow from electricity consumption to economic growth in Malaysia. From these findings we conclude that Malaysia is an energy-dependent country, leading us to draw some policy implications. This paper adds support and validity, thus reducing the policy makers concern on the ambiguity of the electricity and growth nexus in Malaysia. (author)

Electricity consumption-growth nexus. The case of Malaysia

Energy Technology Data Exchange (ETDEWEB)

Chandran, V.G.R. [Department of Economics, Faculty of Economics and Administration, University of Malaya, 50603 Kuala Lumpur (Malaysia); Department of Economics, Faculty of Business Management, University Technology MARA, 40540 Shah Alam (Malaysia); Sharma, Susan [School of Accounting, Economics and Finance, Deakin University, Melbourne (Australia); Madhavan, Karunagaran [Department of Economics, Faculty of Business Management, University Technology MARA, 40540 Shah Alam (Malaysia)

2010-01-15

The goal of this paper is to model the relationship between electricity consumption and real gross domestic product (GDP) for Malaysia in a bivariate and multivariate framework. We use time series data for the period 1971-2003 and apply the bounds testing approach to search for a long-run relationship. Our results reveal that electricity consumption, real GDP and price share a long-run relationship. The results of the autoregressive distributed lag (ARDL) estimates of long-run elasticity of electricity consumption on GDP are found to be around 0.7 and statistically significant. Finally, in the short-run, the results of the causality test show that there is a unidirectional causal flow from electricity consumption to economic growth in Malaysia. From these findings we conclude that Malaysia is an energy-dependent country, leading us to draw some policy implications. This paper adds support and validity, thus reducing the policy makers concern on the ambiguity of the electricity and growth nexus in Malaysia. (author)

Securing energy efficiency as a high priority. Scenarios for common appliance electricity consumption in Thailand

Energy Technology Data Exchange (ETDEWEB)

Foran, T. [Unit for Social and Environmental Research USER, Faculty of Social Sciences, Chiang Mai University, P.O. Box 144, Chiang Mai, 50200 (Thailand); Du Pont, P.T. [International Resources Group and Joint Graduate School of Energy and Environment, Bangkok (Thailand); Parinya, P. [The Joint Graduate School of Energy and Environment, King Mongkut' s University of Technology Thonburi, Bangkok (Thailand); Phumaraphand, N. [Electricity Generating Authority of Thailand, Nonthaburi (Thailand)

2010-11-15

Between 1995 and 2008, Thailand's energy efficiency programs produced an estimated total of 8,369 GWh/year energy savings and 1,471 MW avoided peak power. Despite these impressive saving figures, relatively little future scenario analysis is available to policy makers. Before the 2008 global financial crisis, electricity planners forecasted 5-6% long-term increases in demand. We explored options for efficiency improvements in Thailand's residential sector, which consumes more than 20% of Thailand's total electricity consumption of 150 TWh/year. We constructed baseline and efficient scenarios for the period 2006-2026, for air conditioners, refrigerators, fans, rice cookers, and compact fluorescent light bulbs. We drew on an appliance database maintained by Electricity Generating Authority of Thailand's voluntary labeling program. For the five appliances modeled, the efficiency scenario results in total savings of 12% of baseline consumption after 10 years and 29% of baseline after 20 years. Approximately 80% of savings come from more stringent standards for air conditioners, including phasing out unregulated air conditioner sales within 6 years. Shifting appliance efficiency standards to current best-in-market levels within 6 years produces additional savings. We discuss institutional aspects of energy planning in Thailand that thus far have limited the consideration of energy efficiency as a high-priority resource.

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.

Forecasting the electricity consumption of the Mexican border states maquiladoras

Energy Technology Data Exchange (ETDEWEB)

Flores, C.E.; Phelan, P.E. [Arizona State Univ., Dept. of Mechanical and Aerospace Engineering, Tempe, AZ (United States); Mou, J.-I. [Taiwan Semiconductor Manufacturing Co., Operation Planning Div., Hsin-Chu (Taiwan); Bryan, H. [Arizona State Univ., School of Architecture, Tempe, AZ (United States)

2004-07-01

The consumption of electricity by maquiladora industries in the Mexican border states is an important driver for determining future powerplant needs in that area. An industrial electricity forecasting model is developed for the border states' maquiladoras, and the outputs are compared with a reference forecasting model developed for the US industrial sector, for which considerably more data are available. This model enables the prediction of the effect of implementing various energy efficiency measures in the industrial sector. As an illustration, here the impact of implementing energy-efficient lighting and motors in the Mexican border states' maquiladoras was determined to be substantial. Without such energy efficiency measures, electricity consumption for these industries is predicted to rise by 64% from 2001 to 2010, but if these measures are implemented on a gradual basis over the same time period, electricity consumption is forecast to rise by only 36%. (Author)

Slag Evaluation to Reduce Energy Consumption and EAF Electrical Instability

OpenAIRE

Vieira,Deisi; Almeida,Rodolfo Arnaldo Montecinos de; Bielefeldt,Wagner Viana; Vilela,Antônio Cezar Faria

2016-01-01

In steel mills that operate with electric arc furnaces (EAF), it is interesting to ensure greater stability to the electric arc to aim at less distortion in the electrical system, with consequent reduction in electric power consumption. The slag foaming increases electric arc stability by reducing the total harmonic distortion (THD) between EAF phases. In this study, information about the chemical composition of the slag and electrical parameters of an EAF were collected. With the composition...

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.

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 ...

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.

Household consumption of different generations. Purchase of electric appliances and energy; Hushaallens konsumtion i olika generationer. Inkoep av eldriven hushaallsutrustning och energi

Energy Technology Data Exchange (ETDEWEB)

Carlsson-Kanyama, Annika; Stenerus, Ann-Sofie

2008-02-15

Considering that energy efficiency is an important task for the future, this study shows to what extent generation affiliation and other household characteristics affect consumption of primarily electrical household appliances and energy. The material used is a number of studies concerning household expenditures as well as average prices for goods and energy. Material from 1958, 1978, 1985, 1995 and 2003-2005 have been used. This report also includes a discussion regarding opportunities for energy efficiency. The term generation is explained in this context and earlier studies with relevance to generation affiliation and energy are summarized. An analysis of consumption habits among different generations highlights that the generations living in Sweden today experienced substantially different consumption opportunities during childhood and youth. Some generations have memories of much lower consumption levels, memories which could be recalled with the right policy instruments. The consumption experiences of the veteran generation are studied from 1958 up to 2003-2005, and this study also includes a comparison between the consumption levels in families with children in the 1950s and today. The current Swedish population have very different frames of reference concerning possible consumption styles. However, no generation would easily accept a more energy efficient lifestyle, because all generations have adapted to the increased consumption opportunities with high mobility and easy access. The analysis of household purchases of electrical appliances is based on information from 6 700 households (2003-2005) and 4 400 households (1985). The results are both surprising and expected. Generation affiliation is important for explaining expenditure levels for equipment for entertainment and information, where the youngest generations spend the most. But there are also differences related to gender as well as differences related to income and dwelling type. The differences

Report on renewable electricity self-consumption and self-production

International Nuclear Information System (INIS)

2014-12-01

After having indicated the main conclusions of this study in terms of observations, of objectives of a support arrangement, and of recommendations for the photovoltaic sector, this report first presents the legal context and some definitions for energy self-production and self-consumption: foreign experiments, legal framework of photovoltaic electricity sales, definition of self-production and self-consumption. It proposes an overview of opportunities and stakes for self-production and self-consumption: potential benefits, impact on the electric grid, supply safety, grid control, supply-demand equilibrium, safety of persons and goods, flexibility of the electric system. It presents the different types of self-consumers and self-producers in the individual housing sector, in collective building and urban blocks, and in industrial and office buildings. It addresses the case of non-interconnected areas: context, opportunity, principles. It discusses the impact of self-production/self-consumption on the economic fundamentals of the electric system and on the financing of renewable energies. The remuneration and financing issues are then discussed (examples, net-metering system, additional premium system, other arrangements) as well as the architecture of a support system. Several contributions of an association of individual producers and of different professional bodies of the energy, photovoltaic, and building sectors are proposed in appendix

Econometric modeling of electricity consumption in post-war Lebanon

International Nuclear Information System (INIS)

Nasr, G.E.; Badr, E.A.; Dibeh, G.

2000-01-01

This paper applies econometric models to investigate determinants of electrical energy consumption in post-war Lebanon. The impact of the Gross Domestic Product (GDP), proxied by total imports (TI), and degree days (DD) on electricity consumption is investigated over different time spans covering the period from 1993 to 1997. The time spans are chosen according to the rationing level of electricity supply. For the 1993-1994 time span, TI is found to be a significant determinant of energy consumption, whereas, DD has a negative correlation. This inconsistency might be attributed to an extensive rationing policy followed during this period. For the 1995-1997 time span which includes reduced rationing period (1995), all electrical energy consumption determinants are found to be significant at the 5% significance level. Analysis results for the rationing free 1996-1997 time span also show the significance of TI and DD at the 5% level. Furthermore, cointegration analysis for the 1995-1997 and 1996-1997 subsets reveals the existence of a long-run relationship between all variables. In addition, error correction models for both subsets are developed to predict short-run dynamics. Finally, statistical performance measures such as mean square error, mean average deviation and mean average percentage error are presented for all models

Differences in Energy Consumption in Electric Vehicles: An Exploratory Real-World Study in Beijing

Directory of Open Access Journals (Sweden)

Kezhen Hu

2017-01-01

Full Text Available Electric vehicles (EVs are widely regarded as a promising solution to reduce air pollution in cities and key to a low carbon mobility future. However, their environmental benefits depend on the temporal and spatial context of actual usage (journey energy efficiency and the rolling out of EVs is complicated by issues such as limited range. This paper explores how the energy efficiency of EVs is affected and shaped by driving behavior, personal driving styles, traffic conditions, and infrastructure design in the real world. Tests have been conducted with a Nissan LEAF under a typical driving cycle on the Beijing road network in order to improve understanding of variations in energy efficiency among drivers under different urban traffic conditions. Energy consumption and operation parameters were recorded in both peak and off-peak hours for a total of 13 drivers. The analysis reported in this paper shows that there are clear patterns in energy consumption along a route that are in part related to differences in infrastructure design, traffic conditions, and personal driving styles. The proposed method for analyzing time series data about energy consumption along routes can be used for research with larger fleets of EVs in the future.

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...

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)

South Africa's electricity consumption: A sectoral decomposition analysis

International Nuclear Information System (INIS)

Inglesi-Lotz, Roula; Blignaut, James N.

2011-01-01

Highlights: → We conduct a decomposition exercise of the South African electricity consumption. → The increase in electricity consumption was due to output and structural changes. → The increasing at a low rate electricity intensity was a decreasing factor to consumption. → Increases in production were proven to be part of the rising trend for all sectors. → Only 5 sectors' consumption were negatively affected by efficiency improvements. -- Abstract: South Africa's electricity consumption has shown a sharp increase since the early 1990s. Here we conduct a sectoral decomposition analysis of the electricity consumption for the period 1993-2006 to determine the main drivers responsible for this increase. The results show that the increase was mainly due to output or production related factors, with structural changes playing a secondary role. While there is some evidence of efficiency improvements, indicated here as a slowdown in the rate of increase of electricity intensity, it was not nearly sufficient to offset the combined production and structural effects that propelled electricity consumption forward. This general economy-wide statement, however, can be misleading since the results, in essence, are very sector specific and the inter-sectoral differences are substantial. Increases in production were proven to be part of the rising trend for all sectors. However, only five out of fourteen sectors were affected by efficiency improvements, while the structural changes affected the sectors' electricity consumption in different ways. These differences concerning the production, structural and efficiency effects on the sectors indicate the need for a sectoral approach in the energy policy-making of the country rather than a blanket or unilateral economy-wide approach.

Test methods for evaluating energy consumption and emissions of vehicles with electric, hybrid and fuel cell power trains

NARCIS (Netherlands)

Smokers, R.T.M.; Ploumen, S.; Conte, M.; Buning, L.; Meier-Engel, K.

2000-01-01

As part of the MATADOR-project measurement methods have been developed for the evaluation of the energy consumption and emissions of vehicles with advanced propulsion systems, such as battery-electric, hybrid electric and fuel cell vehicles. Based on an inventory of existing and prospective standard

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...

Learning to REDUCE: A Reduced Electricity Consumption Prediction Ensemble

Energy Technology Data Exchange (ETDEWEB)

Aman, Saima; Chelmis, Charalampos; Prasanna, Viktor

2016-02-12

Utilities use Demand Response (DR) to balance supply and demand in the electric grid by involving customers in efforts to reduce electricity consumption during peak periods. To implement and adapt DR under dynamically changing conditions of the grid, reliable prediction of reduced consumption is critical. However, despite the wealth of research on electricity consumption prediction and DR being long in practice, the problem of reduced consumption prediction remains largely un-addressed. In this paper, we identify unique computational challenges associated with the prediction of reduced consumption and contrast this to that of normal consumption and DR baseline prediction.We propose a novel ensemble model that leverages different sequences of daily electricity consumption on DR event days as well as contextual attributes for reduced consumption prediction. We demonstrate the success of our model on a large, real-world, high resolution dataset from a university microgrid comprising of over 950 DR events across a diverse set of 32 buildings. Our model achieves an average error of 13.5%, an 8.8% improvement over the baseline. Our work is particularly relevant for buildings where electricity consumption is not tied to strict schedules. Our results and insights should prove useful to the researchers and practitioners working in the sustainable energy domain.

Integration of genetic algorithm, computer simulation and design of experiments for forecasting electrical energy consumption

International Nuclear Information System (INIS)

Azadeh, A.; Tarverdian, S.

2007-01-01

This study presents an integrated algorithm for forecasting monthly electrical energy consumption based on genetic algorithm (GA), computer simulation and design of experiments using stochastic procedures. First, time-series model is developed as a benchmark for GA and simulation. Computer simulation is developed to generate random variables for monthly electricity consumption. This is achieved to foresee the effects of probabilistic distribution on monthly electricity consumption. The GA and simulated-based GA models are then developed by the selected time-series model. Therefore, there are four treatments to be considered in analysis of variance (ANOVA) which are actual data, time series, GA and simulated-based GA. Furthermore, ANOVA is used to test the null hypothesis of the above four alternatives being equal. If the null hypothesis is accepted, then the lowest mean absolute percentage error (MAPE) value is used to select the best model, otherwise the Duncan Multiple Range Test (DMRT) method of paired comparison is used to select the optimum model, which could be time series, GA or simulated-based GA. In case of ties the lowest MAPE value is considered as the benchmark. The integrated algorithm has several unique features. First, it is flexible and identifies the best model based on the results of ANOVA and MAPE, whereas previous studies consider the best-fit GA model based on MAPE or relative error results. Second, the proposed algorithm may identify conventional time series as the best model for future electricity consumption forecasting because of its dynamic structure, whereas previous studies assume that GA always provide the best solutions and estimation. To show the applicability and superiority of the proposed algorithm, the monthly electricity consumption in Iran from March 1994 to February 2005 (131 months) is used and applied to the proposed algorithm

Information communication technology and electricity consumption in emerging economies

International Nuclear Information System (INIS)

Sadorsky, Perry

2012-01-01

This study examines the impact of information communication technology (ICT) on electricity consumption in emerging economies. The empirical results, obtained from dynamic panel demand models, show a positive and statistically significant relationship between ICT and electricity consumption when ICT is measured using internet connections, mobile phones or the number of PCs. Long-run ICT elasticities are smaller than income elasticities but because ICT growth rates are so much higher than income growth rates, the impact of ICT on electricity demand is greater than the impact of income on electricity demand. One implication of these results is that policies designed to close the “digital divide” between developed and developing economics by increasing the adoption of ICT in developing countries are put at odds with energy policies to reduce GHG emissions. - Highlights: ► ICT usage is growing rapidly in developing countries. ► ICT usage affects electricity consumption. ► Three different measures of ICT are examined. ► Short-run and long-run ICT elasticities are calculated. ► Implications for energy policy are discussed.

Intelligent Swarm Firefly Algorithm for the Prediction of China’s National Electricity Consumption

OpenAIRE

Zhang, Guangfeng; Chen, Yi; Yu, Yongnian; Wu, Shaomin

2017-01-01

China’s energy consumption is the world’s largest and is still rising, leading to concerns of energy shortage and environmental issues. It is, therefore, necessary to estimate the energy demand and to examine the dynamic nature of the electricity consumption. In this paper, we develop a nonlinear model of energy consumption and utilise a computational intelligence approach, specifcally a swarm frefly algorithm with a variable population, to examine China’s electricity consumption with historic...

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.)

Re-investigating the electricity consumption and economic growth nexus in Portugal

International Nuclear Information System (INIS)

Tang, Chor Foon; Shahbaz, Muhammad; Arouri, Mohamed

2013-01-01

In the previous decades, a number of studies have been conducted to analyse the causal relationship between electricity consumption and economic growth in the Portuguese economy. However, the evidence remains controversial because the previous studies do not provide clear causality evidence. This might be attributed to the omitted variables bias because most previous studies only focus on the relationship between electricity consumption and economic growth in a bi-variate model. This paper attempts to re-investigate the relationship between electricity consumption and economic growth in Portugal using a multivariate model. Based on the bounds testing approach to cointegration and the Granger causality test within the vector error-correction model (VECM), our empirical results confirm the presence of cointegration among the variables. Moreover, there is evidence of bi-directional causality between electricity consumption and economic growth in the short- and long-run. This suggests that energy is an important source of economic growth in Portugal. Therefore, energy conservation policies should not be implemented because it would deteriorate the process of economic growth and development of the Portuguese economy. - Highlights: • Electricity consumption and economic growth series in Portugal are cointegrated. • There is evidence of feedback effects between the two variables. • Energy is an important source of economic growth in Portugal

SYSTEM FOR AUTOMATIC SELECTION OF THE SPEED RATE OF ELECTRIC VEHICLES FOR REDUCING THE POWER CONSUMPTION

Directory of Open Access Journals (Sweden)

K. O. Soroka

2017-06-01

Full Text Available Purpose. The work is aimed to design a system for automatic selection of the optimal traffic modes and automatic monitoring of the electric energy consumption by electric transport. This automatic system should provide for the minimum energy expenses. Methodology. Current methodologies: 1 mathematical modeling of traffic modes of ground electric vehicles; 2 comparison of modelling results with the statistical monitoring; 3 system development for automatic choice of traffic modes of electric transport with minimal electrical energy consumptions taking into account the given route schedules and the limitations imposed by the general traffic rules. Findings. The authors obtained a mathematical dependency of the energy consumption by electric transport enterprises on the monthly averaged environment temperature was obtained. A system which allows for an automatic selection of the speed limit and provides automatic monitoring of the electrical energy consumption by electric vehicles was proposed in the form of local network, which works together with existing GPS system. Originality. A mathematical model for calculating the motion curves and energy consumption of electric vehicles has been developed. This model takes into account the characteristic values of the motor engine and the steering system, the change of the mass when loading or unloading passengers, the slopes and radii of the roads, the limitations given by the general traffic rules, and other factors. The dependency of the energy consumption on the averaged monthly environment temperature for public electric transport companies has been calculated. Practical value. The developed mathematical model simplifies the calculations of the traffic dynamics and energy consumption. It can be used for calculating the routing maps, for design and upgrade of the power networks, for development of the electricity saving measures. The system simplifies the work of the vehicle driver and allows reducing

Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households

International Nuclear Information System (INIS)

Broadstock, David C.; Li, Jiajia; Zhang, Dayong

2016-01-01

Policy makers presently lack access to quantified estimates – and hence an explicit understanding – of energy consumption efficiency within households, creating a potential gap between true efficiency levels and the necessarily assumed efficiency levels that policy makers adopt in designing and implementing energy policy. This paper attempts to fill this information gap by empirically quantifying electricity consumption efficiency for a sample of more than 7,000 households. Adopting the recently introduced ‘frontier demand function’ due to Filippini and Hunt (2011) but extending it into the metafrontier context – to control for structural heterogeneity arising from location type – it is shown that consumption efficiency is little more than 60% on average. This implies huge potential for energy reduction via the expansion of schemes to promote energy efficiency. City households, which are the wealthiest in the sample, are shown to define the metafrontier demand function (and hence have the potential to be the most efficient households), but at the same time exhibit the largest inefficiencies. These facts together allow for a potential refinement on the household energy ladder concept, suggesting that wealth affords access to the best technologies thereby increasing potential energy efficiency (the ‘traditional view of the household energy ladder), but complementary to this these same households are most inefficient. This has implications for numerous areas of policy, including for example the design of energy assistance schemes, identification of energy education needs/priorities as well more refined setting of subsidies/tax-credit policies. - Highlights: •Frontier demand functions are estimated for a sample of 7102 Chinese households. •Metafrontier methods capture heterogeneity arising from urban form (e.g. cities, towns and villages). •Wealthier houses have higher efficiency potential, but are in fact less efficient in their consumption of

Demand for electrical energy

International Nuclear Information System (INIS)

Bergougnoux, J.; Fouquet, D.

1983-01-01

The different utilizations of electric energy are reviewed in the residential and tertiary sectors, in the industry. The competitive position of electricity in regard to other fuels has been strengthned by the sudden rise in the price of oil in 1973-1974 and 1979-1980. The evolution of electricity prices depended on the steps taken to adjust the electricity generation system. The substitution of electricity applications for hydro-carbons is an essential point of energy policy. The adjustment at all times, at least cost and most reliability, of the supply of electricity to the demand for it is a major problem in the design and operation of electric systems. National demand for power at a given moment is extremely diversified. Electricity consumption presents daily and seasonal variations, and variations according to the different sectors. Forecasting power requirements is for any decision on operation or investment relating to an electrical system. Load management is desirable (prices according to the customers, optional tariffs for ''peak-day withdrawal''). To conclude, prospects for increased electricity consumption are discussed [fr

Investigating the water consumption for electricity generation at Turkish power plants

Science.gov (United States)

El-Khozondar, Balkess; Aydinalp Koksal, Merih

2017-11-01

The water-energy intertwined relationship has recently gained more importance due to the high water consumption in the energy sector and to the limited availability of the water resources. The energy and electricity demand of Turkey is increasing rapidly in the last two decades. More thermal power plants are expected to be built in the near future to supply the rapidly increasing demand in Turkey which will put pressure on water availability. In this study, the water consumption for electricity generation at Turkish power plants is investigated. The main objectives of this study are to identify the amount of water consumed to generate 1 kWh of electricity for each generation technology currently used in Turkey and to investigate ways to reduce the water consumption at power plants expected to be built in the near future to supply the increasing demand. The various electricity generation technology mixture scenarios are analyzed to determine the future total and per generation water consumption, and water savings based on changes of cooling systems used for each technology. The Long-range Energy Alternatives Planning (LEAP) program is used to determine the minimum water consuming electricity generation technology mixtures using optimization approaches between 2017 and 2035.

Value of flexible consumption in the electricity markets

DEFF Research Database (Denmark)

Biegel, Benjamin; Hansen, Lars Henrik; Stoustrup, Jakob

2014-01-01

A transition from an oil and coal based energy system to a systems based on renewable and sustainable energy sources has begun in many countries throughout the developed world. As a pioneer, Denmark currently has a wind energy penetration of 30% in the electricity sector and an end goal of 100......% renewables in all energy sectors by 2050. The main elements in this transition are an increase in the wind energy production and electrification of main energy sectors such as transport and heating. Activation of flexible consumption in the electricity markets is believed to be one of the means to compensate...... for the growth of fluctuating renewables and the decrease of conventional power plants providing system-stabilizing services. In this work, we examine the requirements for flexible consumption to be active in the spot market and the regulating power market in the Nordic system and estimate the costs of entering...

Electricity energy outlook in Malaysia

International Nuclear Information System (INIS)

Tan, C S; Leong, Y P; Maragatham, K

2013-01-01

Population and income growth are the key drivers behind the growing demand for energy. Demand for electricity in Malaysia is always growing in tandem with its Gross Domestic Product (GDP) growth. The growth for electricity in Malaysia forecasted by Economic Planning Unit (EPU) has shown an increase of 3.52% in 2012 compared to 3.48% in 2011. This growth has been driven by strong demand growth from commercial and domestic sectors. The share of electricity consumption to total energy consumption has increased from 17.4% in 2007 to 21.7% in 2012. The total electricity production was reported at 122.12TWh in 2012, where gas is still the major fuel source contributing to 52.7% of the total generation fuel mix of electricity followed by Coal, 38.9%, hydro, 7.3%, oil, 1% and others, 0.2%. This paper aims to discuss the energy outlook particularly the electricity production and ways toward greener environment in electricity production in Malaysia

Electricity energy outlook in Malaysia

Science.gov (United States)

Tan, C. S.; Maragatham, K.; Leong, Y. P.

2013-06-01

Population and income growth are the key drivers behind the growing demand for energy. Demand for electricity in Malaysia is always growing in tandem with its Gross Domestic Product (GDP) growth. The growth for electricity in Malaysia forecasted by Economic Planning Unit (EPU) has shown an increase of 3.52% in 2012 compared to 3.48% in 2011. This growth has been driven by strong demand growth from commercial and domestic sectors. The share of electricity consumption to total energy consumption has increased from 17.4% in 2007 to 21.7% in 2012. The total electricity production was reported at 122.12TWh in 2012, where gas is still the major fuel source contributing to 52.7% of the total generation fuel mix of electricity followed by Coal, 38.9%, hydro, 7.3%, oil, 1% and others, 0.2%. This paper aims to discuss the energy outlook particularly the electricity production and ways toward greener environment in electricity production in Malaysia

Modelling the Effect of Driving Events on Electrical Vehicle Energy Consumption Using Inertial Sensors in Smartphones

Directory of Open Access Journals (Sweden)

David Jiménez

2018-02-01

Full Text Available Air pollution and climate change are some of the main problems that humankind is currently facing. The electrification of the transport sector will help to reduce these problems, but one of the major barriers for the massive adoption of electric vehicles is their limited range. The energy consumption in these vehicles is affected, among other variables, by the driving behavior, making range a value that must be personalized to each driver and each type of electric vehicle. In this paper we offer a way to estimate a personalized energy consumption model by the use of the vehicle dynamics and the driving events detected by the use of the smartphone inertial sensors, allowing an easy and non-intrusive manner to predict the correct range for each user. This paper proposes, for the classification of events, a deep neural network (Long-Short Time Memory which has been trained with more than 22,000 car trips, and the application to improve the consumption model taking into account the driver behavior captured across different trips, allowing a personalized prediction. Results and validation in real cases show that errors in the predicted consumption values are halved when abrupt events are considered in the model.

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.

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.

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)

Private electricity consumption on the rise -- the impact of networking

International Nuclear Information System (INIS)

Aebischer, B.; Huser, A.

2001-01-01

This article discusses the effect of the networking of the various devices to be found in the average home and the trend towards increased electricity consumption that will be brought about by 'intelligent' houses. Different scenarios for the increase in electricity consumption due to the increased use of multimedia systems - from the personal computer and mobile phones to hi-fi systems and the Internet are discussed. The contrasting tendencies noted in this area - such as, for example, the use of electricity to operate systems that are used to optimise and thus reduce electricity consumption in general are also discussed. Also, indirect energy-reduction effects in other areas - such as traffic reduction as a result of tele-working - are examined. Results of simulations and prognoses made concerning future trends for the electricity consumption of the various devices in homes are presented and recommendations are made on how to keep electricity consumption low when networking domestic apparatus

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,...

The Impact of Socio-Economic Indicators on Sustainable Consumption of Domestic Electricity in Lithuania

Directory of Open Access Journals (Sweden)

Sergej Vojtovic

2018-01-01

Full Text Available Lithuania is one of the EU Member States, where the rate of energy consumption is comparatively low but consumption of electricity has been gradually increasing over the last few years. Despite this trend, households in only three EU Member States consume less electricity than Lithuanian households. The purpose of this research is to analyse the impact of socio-economic factors on the domestic electricity consumption in Lithuania, i.e., to establish whether electricity consumption is determined by socio-economic conditions or population’s awareness to save energy. Cointegration analysis, causality test and error-correction model were used for the analysis. The results reveal that there is a long run equilibrium relationship between residential electricity consumption per capita and GDP at current prices as well as the ratio of the registered unemployed to the working-age population. In consequence, the results of the research propose that improvement of living standards for Lithuanian community calls for the necessity to pay particular attention to the promotion of sustainable electricity consumption by providing consumers with appropriate information and feedback in order to seek new energy-related consumption practices.

Forecasting and control of the electricity consumption in hotels

International Nuclear Information System (INIS)

Guerra Plasencia, Mario A. Álvarez; Cabello Eras, Juan J.; Sousa Santos, Vladimir; Sagastume Gutiérrez, Alexis; Monteagudo YanesI, José P.; Lapido Rodríguez, Margarita J.; Lara, Boris Vega

2017-01-01

In order to monitor and control the monthly and annual consumption of energy in hotels, different indicators have been proposed. These do not allow allow the rapid detection and mitigation of bad practices and overconsumption, nor do they take into account the influence of physical parameters such as outside temperature, or when they do, they use fairly complex coefficients, which prevents their practical application in most installations. The study analyzes energy performance indicators to evaluate and control the consumption of electricity in hotels, introducing a new one based on the outside temperature. On this basis daily graphs of control are developed that allow a faster detection of the mentioned problems and realize an adequate energy management. The tools were applied in two Cuban hotels of different characteristics, where reductions in annual electricity consumption were achieved in the order of 10% without investments. (author)

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.

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.

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

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.

NUMERICAL COMPUTATION AND PREDICTION OF ELECTRICITY CONSUMPTION IN TOBACCO INDUSTRY

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Mirjana Laković

2017-12-01

Full Text Available Electricity is a key energy source in each country and an important condition for economic development. It is necessary to use modern methods and tools to predict energy consumption for different types of systems and weather conditions. In every industrial plant, electricity consumption presents one of the greatest operating costs. Monitoring and forecasting of this parameter provide the opportunity to rationalize the use of electricity and thus significantly reduce the costs. The paper proposes the prediction of energy consumption by a new time-series model. This involves time series models using a set of previously collected data to predict the future load. The most commonly used linear time series models are the AR (Autoregressive Model, MA (Moving Average and ARMA (Autoregressive Moving Average Model. The AR model is used in this paper. Using the AR (Autoregressive Model model, the Monte Carlo simulation method is utilized for predicting and analyzing the energy consumption change in the considered tobacco industrial plant. One of the main parts of the AR model is a seasonal pattern that takes into account the climatic conditions for a given geographical area. This part of the model was delineated by the Fourier transform and was used with the aim of avoiding the model complexity. As an example, the numerical results were performed for tobacco production in one industrial plant. A probabilistic range of input values is used to determine the future probabilistic level of energy consumption.

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

informatics. The main question that this thesis deals with is: How much does the occupant behavior influence the energy consumption of dwellings in the Netherlands, and how could we identify the determinants of consumption, as well as the behavioral patterns and profiles? In order to research this question, the following questions are formulated: • I What is the sensitivity of a dwelling’s heating energy consumption to occupant behavior? (Chapter 3 • What are the existing models developed for the occupant behavior and energy performance relationship? and how different are the results of these models in terms of calculating the influence of occupant behavior on energy performance? • How can behavior be modelled in order to assess the robustness of the energy performance in dwellings to occupant behavior? • What is the weight of each behavioral aspect in terms of its influence on energy consumption? • II What is the influence of lighting and appliance use on the total electricity consumption in dwellings? (Chapter 4 • What are the main direct and indirect determinants of electricity consumption? (Direct determinant: such as number of appliances and duration of appliance use …; Indirect determinant: such as household size, dwelling size, dwelling type … • How much of the variance in electricity consumption in dwellings can be explained by direct and indirect determinants? • III What are the behavioral patterns and profiles of energy consumption? • What are the behavioral patterns of thermostat control? How do they relate to the household characteristics, revealing behavioral profiles? (Chapter 5 • What are the behavioral patterns of electricity consumption? How do they relate to the household characteristics, revealing behavioral profiles? (Chapter 6 In this thesis, occupant behavior is modeled in different chapters using sensitivity, correlation, regression, repeated measures, and cluster and factor analyses, based on data on dwelling and household

Contribution to performing gas solutions and the complementarity of energies to address electric peak consumptions

International Nuclear Information System (INIS)

2015-01-01

This article aims at outlining the contribution that gas-based solutions may have for the reduction of the seasonal electricity peak consumption. After having recalled the principles related to electricity peak consumption (daily peak in summer and in winter due to the use of various equipment which lasts few hours, seasonal peak in winter due to the use of electric heating which may last several weeks) and the associated evolution of electricity consumptions over the last years, this article describes the main challenges related to the electric peak consumption: how to maintain the balance in real time between production and consumption. In France, the network manager must use, beside nuclear power stations, thermal productions (gas or coal-based) which result in higher CO 2 emissions. Electricity imports from Germany also degrade the French carbon footprint. Thus, the management of daily and seasonal peaks can be based on three levers of action: to act on supply by developing capacities to face the residual peak, to act on demand by smoothing the load curve by controlling the load of electric equipment, or to act on demand by a global reduction of the thermo-sensitive consumption of electricity

Modeling electric load and water consumption impacts from an integrated thermal energy and rainwater storage system for residential buildings in Texas

International Nuclear Information System (INIS)

Upshaw, Charles R.; Rhodes, Joshua D.; Webber, Michael E.

2017-01-01

Highlights: • Hydronic integrated rainwater thermal storage (ITHERST) system concept presented. • ITHERST system modeled to assess peak electric load shifting and water savings. • Case study shows 75% peak load reduction and 9% increase in energy consumption. • Potable rainwater collection could provide ∼50–90% of water used for case study. - Abstract: The United States’ built environment is a significant direct and indirect consumer of energy and water. In Texas, and other parts of the Southern and Western US, air conditioning loads, particularly from residential buildings, contribute significantly to the peak electricity load on the grid, straining transmission. In parallel, water resources in these regions are strained by growing populations and shrinking supplies. One potential method to address both of these issues is to develop integrated thermal energy and auxiliary water (e.g. rainwater, greywater, etc.) storage and management systems that reduce peak load and freshwater consumption. This analysis focuses on a proposed integrated thermal energy and rainwater storage (ITHERST) system that is incorporated into a residential air-source chiller/heat pump with hydronic distribution. This paper describes a step-wise hourly thermodynamic model of the thermal storage system to assess on-peak performance, and a daily volume-balance model of auxiliary water collection and consumption to assess water savings potential. While the model is generalized, this analysis uses a case study of a single family home in Austin, Texas to illustrate its capabilities. The results indicate this ITHERST system could reduce on-peak air conditioning electric power demand by over 75%, with increased overall electric energy consumption of approximately 7–9%, when optimally sized. Additionally, the modeled rainwater collection reduced municipal water consumption by approximately 53–89%, depending on the system size.

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.

Electrical energy statistics for France

International Nuclear Information System (INIS)

2009-07-01

In 2008, national electrical consumption reached 494.5 TWh, an increase of 2.9 % compared with 2007 (480.4 TWh). Adjusted for winter and summer climate contingencies and leap year, its evolution rate compared with 2007 is +1.3 % Consumption by business and private customers came to 198.0 TWh, an increase of 5.9 % compared with 2007 (187.0 TWh); consumption by Large-scale industry and SME/SMIs came to 263.0 TWh, an increase of 0.7 % compared with 2007 (261.3 TWh). Generation in France came to 549.1 TWh, as in 2006, an increase of 4.3 TWh or +0.8 % compared with 2007 (544.8 TWh). Hydro-electric generation reached 68.0 TWh, an increase of 7.5 % compared with 2007 (63.3 TWh). Renewable energy sources generation but hydro reached 9.7 TWh, an increase of 23.8 % compared with 2007 (7.8 TWh), mainly due to an increase of 37.5 % of wind energy (5.6 TWh in 2008 compared with 4.0 TWh in 2007). This progression is coherent with the increase of 48% of the installed capacity for wind generation. Nuclear generation came to 418.3 TWh in 2008, a decrease of 0.1 % compared with 2007 (418.6 TWh). Fossil thermal generation came to 53.1 TWh, a decrease of 3.5 % compared with 2007 (55.1 TWh). The heaviest load in terms of capacity reaches 92.4 GW during winter 2008/2009. Its evolution rate compared with 2007 is +3.8 % with a temperature lower by 2.2 deg. C. Since 2001, the heaviest load in winter has increased by 16% whereas the national electrical consumption has increased by 10%. The year 2008 is marked by the commissioning of the 400 kV line VIGY-MARLENHEIM. Besides, the underground circuits lengths grow by 118 km over the entire network. In terms of physical exchanges of electrical energy between France and the neighbouring countries France exported a net total of 48.0 TWh, a decrease of 15.4 % compared with 2007 (56.7 TWh). Contractual exchanges with foreign countries came to a cumulative value for exports and imports of 116.2 TWh, an increase of 5.1 % compared with 2007 (110.5 TWh

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.

A study on electric bicycle energy efficiency

Directory of Open Access Journals (Sweden)

Ivan EVTIMOV

2015-09-01

Full Text Available The paper presents a construction of an experimental electric bicycle for evaluation of the energy efficiency. The bicycle is equipped with onboard computer which can store the information about motion and energy consumption. The result concerning power, energy consumption, recharging during brake process, etc. are given. Energy consumption for 3 typical city routes is studied.

Electrical energy in France in 2009

International Nuclear Information System (INIS)

2009-12-01

The figures presented on this document account for the electricity flows recorded in Metropolitan France, including Corsica. Contents: national consumption; physical exchanges with foreign countries; electrical energy balance in France in 2009; net generation; noteworthy data for the year 2009 (daily maximum values of national consumption, thermal generation, hydro-electric generation, wind generation and balance of physical exchanges); electricity market: cross-borders contractual exchanges, balance responsible entities (Energy amount exchanged between balance responsible entities through the block exchange notifications), balancing mechanism (global amount of energy activated upwards and downwards), daily market coupling; power facilities: generating facilities in France (Nuclear, Fossil fuel thermal, Hydro-electric, Wind and Other renewable energy sources), transmission lines owned by RTE (circuit length in operation), transmission - transformers owned by RTE (installed capacity in operation); main transmission facilities commissioned during the year 2009 (substations connected to the RTE network and new or refurbished circuits)

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

Electricity consumption and economic growth nexus in Bangladesh: Revisited evidences

Energy Technology Data Exchange (ETDEWEB)

Ahamad, Mazbahul Golam, E-mail: mg.ahamad@gmail.com [Research Division, Centre for Policy Dialogue (CPD), House: 40C, Road: 11, Dhanmondi, Dhaka 1209 (Bangladesh); Islam, A.K.M. Nazrul, E-mail: nazrul2002@yahoo.com [Research Division, Centre for Policy Dialogue (CPD), House: 40C, Road: 11, Dhanmondi, Dhaka 1209 (Bangladesh)

2011-10-15

In this paper, an attempt is being made to examine the causal relationship between per capita electricity consumption and per capita GDP of Bangladesh using the vector error correction specified Granger causality test to search their short-run, long-run and joint causal relationships for the period of 1971-2008. Empirical findings reveal that there is a short-run unidirectional causal flow running from per capita electricity consumption to per capita GDP without feedback. The presence of a positive short-run causality explains that an increase in electricity consumption directly affects economic activity in Bangladesh. Likewise, results from joint causality exhibit the same as in short-run. By contrast, long-run results show a bi-directional causality running from electricity consumption to economic growth with feedback. These findings can provide essential policy insights to design immediate and long-term growth prospect for Bangladesh keeping in mind its present planned growth strategy and dismal power and energy sector. - Highlights: > Short-run causality running from electricity consumption to economic growth. > Positive SR causality explains electricity generation directly affects economic growth. > For long run, causality runs from electricity consumption to economic growth with feedback. > Joint causality implies the same as in short-run.

Electricity consumption and economic growth nexus in Bangladesh: Revisited evidences

International Nuclear Information System (INIS)

Ahamad, Mazbahul Golam; Islam, A.K.M. Nazrul

2011-01-01

In this paper, an attempt is being made to examine the causal relationship between per capita electricity consumption and per capita GDP of Bangladesh using the vector error correction specified Granger causality test to search their short-run, long-run and joint causal relationships for the period of 1971-2008. Empirical findings reveal that there is a short-run unidirectional causal flow running from per capita electricity consumption to per capita GDP without feedback. The presence of a positive short-run causality explains that an increase in electricity consumption directly affects economic activity in Bangladesh. Likewise, results from joint causality exhibit the same as in short-run. By contrast, long-run results show a bi-directional causality running from electricity consumption to economic growth with feedback. These findings can provide essential policy insights to design immediate and long-term growth prospect for Bangladesh keeping in mind its present planned growth strategy and dismal power and energy sector. - Highlights: → Short-run causality running from electricity consumption to economic growth. → Positive SR causality explains electricity generation directly affects economic growth. → For long run, causality runs from electricity consumption to economic growth with feedback. → Joint causality implies the same as in short-run.

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

Electrical energy in France in 2008

International Nuclear Information System (INIS)

2008-12-01

The figures presented on this document account for the electricity flows recorded in Metropolitan France, including Corsica. Contents: national consumption; physical exchanges with foreign countries; electrical energy balance in France in 2008; net generation; noteworthy data for the year 2008 (daily maximum values of National consumption, Hydroelectric generation and non-Hydroelectric generation, Balance of physical exchanges); electricity market: cross-border contractual exchanges, balance responsible entities (Energy amount exchanged between balance responsible entities through the block exchange notifications), balancing mechanism (Global amount of energy activated upwards and downwards); power facilities: generating facilities in France (Nuclear, Fossil fuel thermal, Hydro-electric, Wind and Other renewable energy sources), transmission lines (circuit length in operation), transmission - transformers (installed capacity in operation); main transmission facilities commissioned during the year 2008 (substations connected to the RTE network and new or refurbished circuits)

Economic assessment of electric energy storage for load shifting in positive energy building

DEFF Research Database (Denmark)

Dumont, Olivier; Do Carmo, Carolina Madeira Ramos; Georges, Emeline

2017-01-01

Net zero energy buildings and positive energy buildings are gaining more and more interest. This paper evaluates the impact of the integration of a battery in a positive energy building used to increase its self-consumption of electricity. Parametric studies are carried out by varying the buildin...... and a 3.7 kWh battery. Finally, simple correlations (based on the feed-in tariff, the annual electrical consumption and production) to predict the optimal size of battery and the lowest payback period are proposed.......Net zero energy buildings and positive energy buildings are gaining more and more interest. This paper evaluates the impact of the integration of a battery in a positive energy building used to increase its self-consumption of electricity. Parametric studies are carried out by varying the building...... envelope characteristics, the power supply system, the climate, the lighting and appliances profiles, the roof tilt angle, the battery size and the electricity tariffs, leading to 3200 cases. The analysis is performed on an annual basis in terms of self-consumption and self-production rate and payback...

Analysis and forecasting of nonresidential electricity consumption in Romania

Energy Technology Data Exchange (ETDEWEB)

Bianco, Vincenzo; Manca, Oronzio; Nardini, Sergio [Dipartimento di Ingegneria Aerospaziale e Meccanica, Seconda Universita degli Studi di Napoli, Via Roma 29, 81031 Aversa (CE) (Italy); Minea, Alina A. [Faculty of Materials Science and Engineering, Technical University Gh. Asachi from Iasi, Bd. D. Mangeron, No. 59, Iasi (Romania)

2010-11-15

Electricity consumption forecast has fundamental importance in the energy planning of a country. In this paper, we present an analysis and two forecast models for nonresidential electricity consumption in Romania. A first part of the paper is dedicated to the estimation of GDP and price elasticities of consumption. Nonresidential short run GDP and price elasticities are found to be approximately 0.136 and -0.0752, respectively, whereas long run GDP and price elasticities are equal to 0.496 and -0.274 respectively. The second part of the study is dedicated to the forecasting of nonresidential electricity consumption up to year 2020. A Holt-Winters exponential smoothing method and a trigonometric grey model with rolling mechanism (TGMRM) are employed for the consumption prediction. The two models lead to similar results, with an average deviation less than 5%. This deviation is to be considered acceptable in relation to the time horizon considered in the present study. (author)

Analysis and forecasting of nonresidential electricity consumption in Romania

International Nuclear Information System (INIS)

Bianco, Vincenzo; Manca, Oronzio; Nardini, Sergio; Minea, Alina A.

2010-01-01

Electricity consumption forecast has fundamental importance in the energy planning of a country. In this paper, we present an analysis and two forecast models for nonresidential electricity consumption in Romania. A first part of the paper is dedicated to the estimation of GDP and price elasticities of consumption. Nonresidential short run GDP and price elasticities are found to be approximately 0.136 and -0.0752, respectively, whereas long run GDP and price elasticities are equal to 0.496 and -0.274 respectively. The second part of the study is dedicated to the forecasting of nonresidential electricity consumption up to year 2020. A Holt-Winters exponential smoothing method and a trigonometric grey model with rolling mechanism (TGMRM) are employed for the consumption prediction. The two models lead to similar results, with an average deviation less than 5%. This deviation is to be considered acceptable in relation to the time horizon considered in the present study. (author)

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...

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

Understanding household energy consumption patterns: When 'West Is Best' in Metro Manila

International Nuclear Information System (INIS)

Sahakian, Marlyne D.

2011-01-01

This paper addresses the topic of energy and development through a multi-disciplinary and systemic approach that combines environmental considerations with a social understanding of consumption. The focus is on electricity usage in the home and specifically lighting and cooling. Set in the urban mega-polis of Metro Manila, the Philippines, energy consumption is first placed in its biophysical perspective: the energy sources and electricity grid are presented, in relation to the Philippines as well as the region. The research findings then explore the social and cultural drivers behind household electricity consumption, revealing in several examples the strong influence of globalization-understood here as the flow of people, remittances, images and ideas. Policy recommendations are provided, based on the research results, with concluding remarks relevant to other similar contexts. - Research highlights: →Metro Manila household electricity consumption is environmentally significant. →The meaning given to electricity services varies by socio-economic group. →Structural conditions, such as building type, can lock-in energy consumption. →Global flows-people, ideas, remittances-influence local consumption patterns. →Social networks, rather than the individual consumer, can influence change.

Second-home electricity consumption

DEFF Research Database (Denmark)

Møller Andersen, Frits; Christensen, M.S.; Jensen, O.M.

2008-01-01

in electricity consumption. Luxury tourism use and senior citizens' that use a few per cent of the second homes as their home contribute to a minor degree to the overall increase of electricity consumption. Scenarios show that this development may accelerate with increased leisure time, increased use and more...

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

Characterization of the household electricity consumption in the EU, potential energy savings and specific policy recommendations

Energy Technology Data Exchange (ETDEWEB)

Fonseca, Paula; Almeida, Anibal de (ISR-Univ. of Coimbra, Dep. Electrical Engineering (Portugal)). e-mail: pfonseca@isr.uc.pt; Feilberg, Nicolai (SINTEF Energiforskning AS (Norway)); Markogiannakis, George (Centre for Renewable Energy Sources - CRES (Greece)); Kofod, Casper (Energy piano (Denmark))

2009-07-01

Although significant improvements in energy efficiency have been achieved in home appliances and lighting, the electricity consumption in the average EU-27 household has been increasing by about 2% per year during the past 10 years. Some reasons for such increase are associated with an increased degree of basic comfort and level of amenities (particularly in the new EU member countries) and also with the widespread utilization of relatively new types of loads whose penetration and use has experienced a very significant growth in recent years. With the objective of contributing to an increased understanding of the energy consumption in the EU-27 households for the different types of equipment including the consumers' behaviour and comfort levels, and to identify demand trends, a large energy monitoring campaign, co-funded by the IEE programme, was carried out in 12 countries, accompanied by a lifestyle consumer survey. From the measurements carried out it can be concluded that IT and entertainment loads, including standby, are a key contributor to the power demand. In basically all types of loads there is wide range of performance levels, including new emerging technologies, in the models available in the market. Available technology, associated with responsible consumer behaviour, can reduce wasteful consumption. The potential electricity savings that exist in the residential sector in Europe, and that can already be implemented by existing means, like the use of BAT (best available technology) efficient appliances or the elimination/mitigation of standby consumption, can reach up to 48% savings. Specific policy recommendations to promote market transformation and behavioural changes in the equipment selection and operation have been identified.

Overview of electrical energy December 2009

International Nuclear Information System (INIS)

2009-01-01

The purpose of this report is to provide information on the results of operation of the French public transmission network and power system during the past month. Information comes from different sources: electricity generators, ERDF, METEOFRANCE, RTE. The information provided concerns: - the internal electricity consumption (perimeter France), Results at end of past month and Cumulative trend over last 12 months; - the balance of electrical energy in France: Results at end of past month (net generation by source, gross national consumption - End customers connected to the RTE network and Other customers and losses on all networks); Development in the balance of physical exchanges, Development of extractions by heavy industry; - the extreme values for consumption, exchanges (perimeter France, past month and Last 12 months); - the electricity market mechanisms: contractual cross-border electricity exchanges (exports, imports, cumulative total, export balance); balancing mechanism - balance responsible entities; Exchanges between Balance Responsible entities via block exchange notifications; notification of new installations for transmission network development. This document presents the above information for December 2009. A 2009 provisional balance of electrical energy in France is given in appendix. (J.S.)

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.

75 FR 2122 - Additional Guidance Regarding Application of Current Procedures for Testing Energy Consumption of...

Science.gov (United States)

2010-01-14

... Energy Consumption of Refrigerator-Freezers With Automatic Ice Makers AGENCY: Office of the General...) to prescribe standardized test procedures to measure the energy consumption of certain consumer... Energy Consumption of Electric Refrigerators and Electric Refrigerator- Freezers (Appendix A1). DOE...

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

Electricity consumption and economic growth nexus in Portugal using cointegration and causality approaches

International Nuclear Information System (INIS)

Shahbaz, Muhammad; Tang, Chor Foon; Shahbaz Shabbir, Muhammad

2011-01-01

The aim of this paper is to re-examine the relationship between electricity consumption, economic growth, and employment in Portugal using the cointegration and Granger causality frameworks. This study covers the sample period from 1971 to 2009. We examine the presence of a long-run equilibrium relationship using the bounds testing approach to cointegration within the Unrestricted Error-Correction Model (UECM). Moreover, we examine the direction of causality between electricity consumption, economic growth, and employment in Portugal using the Granger causality test within the Vector Error-Correction Model (VECM). As a summary of the empirical findings, we find that electricity consumption, economic growth, and employment in Portugal are cointegrated and there is bi-directional Granger causality between the three variables in the long-run. With the exception of the Granger causality between electricity consumption and economic growth, the rest of the variables are also bi-directional Granger causality in the short-run. Furthermore, we find that there is unidirectional Granger causality running from economic growth to electricity consumption, but no evidence of reversal causality. - Highlights: → We re-examine the relationship between electricity consumption, economic growth, and employment in Portugal. → The electricity consumption and economic growth is causing each other in the long-run. → In the short-run, economic growth Granger-cause electricity consumption, but no evidence of reversal causality. → Energy conservation policy will deteriorate the process of economic growth in the long-run. → Portugal should increase investment on R and D to design new energy savings technology.

The co-integration analysis of factors affecting electricity consumption : a case study of Thailand

Energy Technology Data Exchange (ETDEWEB)

Kongruang, C. [Thaksin Univ., Songkhla (Thailand). Faculty of Economics and Business; Waewsak, J. [Thaksin Univ., Phatthalung (Thailand). Dept. of Physics, Solar and Wind Energy Research Lab

2008-07-01

A study was conducted in which the main determinants of electricity demand in Thailand were investigated. Time-series analysis methods were used, notably the unit root test, the Johansen co-integration test and an error correction model (ECM). The objective was to determine the factors affecting short and long-run electricity consumption. This paper presented annual time series data from 1971 to 2006. The unit root test revealed that all series are non-stationary. The Johansen co-integration test revealed the co-integration between variables and the existence of the long-term relationship between them. Electricity consumption accelerated with the increase in gross domestic product (GDP) and population. In contrast, an increase in commodity price would reduce electricity consumption. The coefficient of population indicated that an increase of 1 million in total population would result in an increase in electricity consumption of 0.099 per cent. Last, the results of ECM revealed that nearly 21 per cent of long-term disequilibrium is adjusted to the current period. The factors that affect electricity consumption include GDP growth, inflation rate and population growth. It was concluded that Thailand should prepare for additional power generation from clean energy sources such as solar, biomass and wind energy. Thailand's Energy Policy and Planning Office revealed that electricity consumption in 2008 would be over 130,000 GWh with per capita consumption at nearly 2,000 kWh. The power peak demand will be nearly 24,000 MW in 2008. This result was based on the forecasting model that considered only GDP growth. However, electricity consumption depends not only on the GDP growth, but also upon the other key variables such as population, electricity selling price, consumer price index and temperature. 17 refs., 5 tabs., 4 figs.

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.

An Electrical Energy Consumption Monitoring and Forecasting System

Directory of Open Access Journals (Sweden)

J. L. Rojas-Renteria

2016-10-01

Full Text Available Electricity consumption is currently an issue of great interest for power companies that need an as much as accurate profile for controlling the installed systems but also for designing future expansions and alterations. Detailed monitoring has proved to be valuable for both power companies and consumers. Further, as smart grid technology is bound to result to increasingly flexible rates, an accurate forecast is bound to prove valuable in the future. In this paper, a monitoring and forecasting system is investigated. The monitoring system was installed in an actual building and the recordings were used to design and evaluate the forecasting system, based on an artificial neural network. Results show that the system can provide detailed monitoring and also an accurate forecast for a building’s consumption.

Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems

Energy Technology Data Exchange (ETDEWEB)

NONE

2011-07-01

This publication is the first global analysis of energy consumption and energy efficiency potential of EMDS (electric motor- driven system). The electric motors and systems they drive are the largest single electricity end use, accounting for more than 40% of global electricity consumption. Huge energy efficiency potential was found untapped in EMDS - around 25% of EMDS electricity use could be saved cost-effectively, reducing total global electricity demand by about 10%. However, the energy efficiency of EMDS has been relatively neglected in comparison with other sustainable energy opportunities. It is crucial to scale up the operations and resources committed to realizing the vast savings potential of optimized EMDS. This paper proposes a comprehensive package of policy recommendations to help governments realize the potential for energy savings in EMDS.

Prediction of monthly electric energy consumption using pattern-based fuzzy nearest neighbour regression

Directory of Open Access Journals (Sweden)

Pełka Paweł

2017-01-01

Full Text Available Electricity demand forecasting is of important role in power system planning and operation. In this work, fuzzy nearest neighbour regression has been utilised to estimate monthly electricity demands. The forecasting model was based on the pre-processed energy consumption time series, where input and output variables were defined as patterns representing unified fragments of the time series. Relationships between inputs and outputs, which were simplified due to patterns, were modelled using nonparametric regression with weighting function defined as a fuzzy membership of learning points to the neighbourhood of a query point. In an experimental part of the work the model was evaluated using real-world data. The results are encouraging and show high performances of the model and its competitiveness compared to other forecasting models.

Steelmaking plants: towards lower energy consumption and lower CO2 production using more electricity

International Nuclear Information System (INIS)

Nicolle, R.

2010-01-01

Production processes of integrated steel plants, mostly based on coal as an energy source, produce about 2 tons of CO 2 per ton of steel. As specific CO 2 production has to be decreased by 20% in the mid-term (2020), immediate action is required to further decrease the specific energy consumption. The integrated plant is not energy self-sufficient as extra electricity must be bought from outside, but on the other hand, produces an excess of process gas that has to be used within the plant. Optimisation of the use of the internally produced gases is a key issue as either they are burned at the power plant with a conversion yield to electricity of about 40% and often much lower, or might be valued in the plant internal heat exchangers with a much higher efficiency such as ∼90% in the hot stoves or ∼65% or more in the present reheating furnaces. This paper shows that using the high-value coke oven gas as a chemical reactant (for DRI production) leads to significant extra metal production. From a global viewpoint, this extra metal production is almost carbon-free, as it requires only electricity for its manufacture. (author)

System Dynamics Modeling of Households' Electricity Consumption and Cost-Income Ratio: a Case Study of Latvia

Science.gov (United States)

Bariss, Uldis; Bazbauers, Gatis; Blumberga, Andra; Blumberga, Dagnija

2017-11-01

Increased energy efficiency of the building sector is high on the list of priorities for energy policy since better energy efficiency would help to reduce impact on climate change and increase security of energy supply. One aim of the present study was to find a relative effect of growth of demand for energy services due to changes in income, energy consumption per unit of demand due to technological development, changes in electricity price and household income on household electricity consumption in Latvia. The method applied included system dynamics modeling and data from a household survey regarding the relationship between electricity saving activities and the electricity cost-income ratio. The results revealed that, in direct contrast to the expected, a potential reduction of the electricity consumption is rather insensitive to electricity price and electricity cost-income ratio, and that the efficiency of technologies could be the main drivers for future electricity savings. The results suggest that support to advancement of technologies and faster replacement of inefficient ones rather than influencing the energy price could be effective energy policy measures. The model, developed in the study could be used in similar assessments in other countries.

Power production and energy consumption in Norway

International Nuclear Information System (INIS)

2001-03-01

The main electrical resource of Norway comes from its rivers: 99% of the electric power is produced by hydroelectric power plants. Other sources, like wind and natural gas, are envisaged for the enhancement of Norway's energy production capacity. In this document, the part devoted to power production presents the different electricity production sources and their impact on the Norwegian economy. The energy consumption is detailed in the third part with an historical review of its evolution and a description of the main sectors involved in this consumption. The forth part describes the main actors of the energy sector with their industrial structure, the research institutes and universities performing R and D in this domain, and the energy trades with surrounding countries. The fifth part stresses on the research projects, on the government promoting actions through the Norwegian Research Council, and gives some examples of todays research projects. The sixth part deals with international cooperation in the R and D domain with a particular attention given to the relations between Norway, France and Europe. (J.S.)

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

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.

Projection of fossil fuels consumption in the Venezuelan electricity generation industry

International Nuclear Information System (INIS)

Vidoza, Jorge A.; Gallo, Waldyr L.R.

2016-01-01

This study presents a prospective analysis on the impacts of recent efficient energy policies application in Venezuela, integrating both oil production and electricity supply to assess energy resources balance in a quantitative manner. A special focus is given to main fossil fuels used in the electric power industry; natural gas, diesel oil and fuel oil. Four scenarios were proposed, ranging from a low-economy-growth/low-efficiency scenario to an optimist high-economy-growth/high-efficiency scenario. Efficiency effects are more notorious for high-economy-growth case, fuel consumption for electricity generation reduces 38% for natural gas, 12% for diesel and 29% for fuel oil, in the established time period. Deficits in oil and gas Venezuelan production were also determined, deficits are highly affected by economical forecasting, and by fuel smuggling in Venezuelan borders. Results showed the high importance of energy efficiency policies development for Venezuela, in order to reduce fossil fuel domestic consumption to allocate them in a more profitable market. - Highlights: • We made a prospective analysis on efficient energy policies impacts in Venezuela. • Reduced fuel consumption was obtained for efficient scenarios. • Current energy regulations are not enough to encourage energy efficiency. • Hydroelectricity projects need more promotion to have deeper impacts.

Study of rational energy consumption in electric appliances. An integrated approach; Estudio de racionalizacion del consumo energetico en electrodomesticos. Un enfoque integrador

Energy Technology Data Exchange (ETDEWEB)

Massa, Pablo A.; Romero Tirado, Rene R. [La Plata Univ. Nacional (Argentina). Facultad de Ingenieria. Dept. de Electrotecnia

1997-12-31

This work presents a global and integrated approach about rational energy consumption concerning the use of electric appliances based on studies carried out in this investigation and information obtained through a joint action of government agents and electric power manufacturers, producers and distributors. It also presents a program named `procaeh`(home electric appliances quality program) in the scope of the communications and energy bureau and energy rational use (URE) management 8 refs., 2 figs., 7 tabs.; e-mail: massa at isis.unlp.edu.ar

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.

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.

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.)

Impact of Spanish electricity mix, over the period 2008–2030, on the Life Cycle energy consumption and GHG emissions of Electric, Hybrid Diesel-Electric, Fuel Cell Hybrid and Diesel Bus of the Madrid Transportation System

International Nuclear Information System (INIS)

García Sánchez, Juan Antonio; López Martínez, José María; Lumbreras Martín, Julio; Flores Holgado, María Nuria; Aguilar Morales, Hansel

2013-01-01

Highlights: • We assess the performance of 4 buses that run on different alternative fuel types and technologies. • The buses assessed are Fuel Cell-Hybrid Bus, Hybrid Diesel-Electric Bus, Battery Electric Bus, and a Diesel Bus. • We examine the environmental impact caused by the Life Cycle of each vehicle technology, fossil fuel and energy carrier. • Life Cycle of Battery Electric Bus shows that it has a big potential of improvement in terms of environmental impact. - Abstract: In spite of the advanced research in automotive technology, and the improvement of fuels, the road transport sector continues to be an environmental concern, since the increase in transport demand is offsetting the effects of these technological improvements. Therefore, this poses the following question: what combination of technology and fuel is more efficient in terms of energy consumption and green house gas (GHG) emissions? To fully address this question it is necessary to carry out a Life Cycle Assessment (LCA). This paper presents a global LCA of 4 buses that run on the following fuel types and technologies: (1) Fuel Cell- Hybrid Bus, (2) Hybrid Diesel-Electric Bus (series configuration), (3) Battery Electric Bus and (4) Combustion Ignition Engine Bus. The impact categories assessed are: primary energy consumption, fossil energy and GHG emissions. Among the principal results, we can conclude that the Global LCA of buses (3) and (1) (which are the more sensitive pathways to the electricity mix variation) have for the 2008–2030 period a room for improvement of 25.62% and 28.16% in terms of efficiency of fossil energy consumption and a potential GHG emission reduction of 28.70% and 30.88% respectively

Electricity Consumption and GHG Emissions in GCC Countries

Directory of Open Access Journals (Sweden)

Mohammed Redha Qader

2009-12-01

Full Text Available CO2, N2O, and CH4 are the three most widespread Greenhouse Gases (GHGs. Electricity consumption and the related CO2-equivalent gas emissions resulting from oil and gas combustion for the six countries that comprise the Cooperation Council for the Arab States of the Gulf [Kingdom of Saudi Arabia (KSA, Kuwait, Bahrain, Oman, United Arab Emirates (UAE and Qatar; also referred to as the Gulf Cooperation Council, GCC] have been compared. The analysis of the relevant data shows that GCC countries contribute significantly to the global CO2 emissions, and that the majority of their emissions are concentrated in the energy extraction and conversion sectors, mainly from oil drilling and electricity production. Some analysis is offered as to the reasons behind the excessive increase in the electrical demand that is obviously linked to a non-rational pattern of electricity consumption.

Electricity consumption and GHG emissions in GCC countries

International Nuclear Information System (INIS)

Qader, M. R.

2009-01-01

CO 2 , N 2 O, and CH 4 are the three most widespread Greenhouse Gases (GHGs). Electricity consumption and the related CO 2 -equivalent gas emissions resulting from oil and gas combustion for the six countries that comprise the Cooperation Council for the Arab States of the Gulf [Kingdom of Saudi Arabia (SA), Kuwait (KW), Bahrain (BH), Oman (OM), United Arab Emirates (AE) and Qatar (QA); also referred to as the Gulf Cooperation Council, GCC)] have been compared. The analysis of the relevant data shows that GCC countries contribute significantly to the global CO 2 emissions, and that the majority of their emissions are concentrated in the energy extraction and conversion sectors, mainly from oil drilling and electricity production. Some analysis is offered as to the reasons behind the excessive increase in the electrical demand that is obviously linked to a non-rational pattern of electricity consumption. (author)

Analysis on the Change in Shallow Groundwater Level based on Monitoring Electric Energy Consumption - A Case Study in the North China Plain

Science.gov (United States)

Wang, L.; Wolfgang, K.; Steiner, J. F.

2016-12-01

Groundwater has been over-pumped for irrigation in the North China Plain in the past decades causing a drastic decrease in the groundwater level. Shallow groundwater can be recharged by rainfall, and the aquifer could be rehabilitated for sustainable use. However, understanding and maintaining the balance of the aquifer - including climatic as well as anthropogenic influences - are fundamental to enable such a sustainable groundwater management. This is still severely obstructed by a lack of measurements of recharge and exploitation. A project to measure groundwater pumping rate at the distributed scale based on monitoring electric energy consumption is going on in Guantao County (456 km2) located in the southern part of the North China Plain. Considerably less costly than direct measurements of the pumping rate, this approach enables us to (a) cover a larger area and (b) use historic electricity data to reconstruct water use in the past. Pumping tests have been carried out to establish a relation between energy consumption and groundwater exploitation. Based on the results of the pumping tests, the time series of the pumping rate can be estimated from the historical energy consumption and serves as the input for a box model to reconstruct the water balance of the shallow aquifer for recent years. This helps us to determine the relative contribution of recharge due to rainfall as well as drawdown due to groundwater pumping for irrigation. Additionally, 100 electric meters have been installed at the electric transformers supplying power for irrigation. With insights gained from the pumping tests, real-time monitoring of the groundwater exploitation is achieved by converting the measured energy consumption to the water use, and pumping control can also be achieved by limiting the energy use. A monitoring and controlling system can then be set up to implement the strategy of sustainable groundwater use.

Reducing Electrical Consumption in the Forest Products Industry Using Lean Thinking

Directory of Open Access Journals (Sweden)

Scott William Lyon

2014-01-01

Full Text Available The forest products industry has an opportunity to reduce energy costs using energy management practices, thereby boosting its global competitiveness. Increasing manufacturing costs have contributed significantly to the decline of the forest products manufacturing industries in the U.S.; these increasing costs limit manufacturers’ abilities to compete with their global competitors. U.S. companies are continually improving their products, processes, finances, and business practices to better compete with global marketplaces; however, they may not be seizing all of the opportunities available through more efficient energy consumption practices. By eliminating non-valued added activities, lean thinking is an example of one tool that may improve performance and reduce costs. A case study was conducted at a cabinet manufacturer in Virginia to examine the impact of lean thinking on the consumption of electricity in the manufacturing process. An energy management system was used to provide rapid feedback on electrical energy consumption for production operations. Significant changes were observed after implementing energy reduction practices identified by lean thinking tools.

The relationship between electricity consumption, electricity prices and GDP in Pakistan

International Nuclear Information System (INIS)

Jamil, Faisal; Ahmad, Eatzaz

2010-01-01

This study analyzes the relationship among electricity consumption, its price and real GDP at the aggregate and sectoral level in Pakistan. Using annual data for the period 1960-2008, the study finds the presence of unidirectional causality from real economic activity to electricity consumption. In particular, growth in output in commercial, manufacturing and agricultural sectors tend to increase electricity consumption, while in residential sector, growth in private expenditures is the cause of rising electricity consumption. The study concludes that electricity production and management needs to be better integrated with overall economic planning exercises. This is essential to avoid electricity shortfalls and unplanned load shedding.

Effects of climate change on the production and consumption of electricity in Finland

Energy Technology Data Exchange (ETDEWEB)

Forsius, J; Kuivalainen, P; Maekinen, P [Imatran Voima Oy, Helsinki (Finland). Environmental Protection Div.

1997-12-31

In the next few decades, the probable strengthening of the greenhouse effect may bring about considerable changes in energy production and consumption, which depend on climate. It is presumed that some of the changes will occur even if the rise in greenhouse gas concentration will be reduced. Because the investments in energy production have a long-term influence, decision-makers should have an idea about the impact of the strengthening of the greenhouse effect on energy production and consumption in Finland. According to the results of this study, the effects of climate change on the total consumption and production of electricity will be limited. The structure of both electricity consumption and production will remain rather similar, the most important changes applying to hydro power. The consumption of heating electricity will decrease substantially. Because the non- climate-dependent sectors of electricity consumption (process industry and services) account for more than a half of the total consumption, the effect on the total consumption is, however, rather small. The total annual hydropower production in Finland was estimated to be 2 % more both in the year 2025 and 2100 than at present. The annual mean discharges do not change very much compared to the present. The greatest difference in comparison with the present is the noticeable smoothing of the annual discharge variation. Particularly in Northern Finland the smoothing is considerable in average circumstances. In the scenario for the year 2100, in particular, the spring flood peak is, on average, significantly reduced, the flood peak takes place earlier and the average winter discharges increase

Effects of climate change on the production and consumption of electricity in Finland

Energy Technology Data Exchange (ETDEWEB)

Forsius, J.; Kuivalainen, P.; Maekinen, P. [Imatran Voima Oy, Helsinki (Finland). Environmental Protection Div.

1996-12-31

In the next few decades, the probable strengthening of the greenhouse effect may bring about considerable changes in energy production and consumption, which depend on climate. It is presumed that some of the changes will occur even if the rise in greenhouse gas concentration will be reduced. Because the investments in energy production have a long-term influence, decision-makers should have an idea about the impact of the strengthening of the greenhouse effect on energy production and consumption in Finland. According to the results of this study, the effects of climate change on the total consumption and production of electricity will be limited. The structure of both electricity consumption and production will remain rather similar, the most important changes applying to hydro power. The consumption of heating electricity will decrease substantially. Because the non- climate-dependent sectors of electricity consumption (process industry and services) account for more than a half of the total consumption, the effect on the total consumption is, however, rather small. The total annual hydropower production in Finland was estimated to be 2 % more both in the year 2025 and 2100 than at present. The annual mean discharges do not change very much compared to the present. The greatest difference in comparison with the present is the noticeable smoothing of the annual discharge variation. Particularly in Northern Finland the smoothing is considerable in average circumstances. In the scenario for the year 2100, in particular, the spring flood peak is, on average, significantly reduced, the flood peak takes place earlier and the average winter discharges increase

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

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)

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.

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.

The effect of daylight saving time options on electricity consumption of Turkey

Energy Technology Data Exchange (ETDEWEB)

Karasu, Servet [Rize University, Rize Vocational School, 53100, Rize (Turkey)

2010-09-15

Most of the developed countries in the world use Daylight Saving Time (DST) as an energy conservation method. This study focuses on the effects of DST on electrical lighting in the buildings in Turkey. Turkey might adjust its daylight saving time to decrease energy consumption. For this purpose, five scenarios are considered and compared to status quo. The scenario with a 30-minute forward shift to single DST from April to October, stands out as the best solution to conserve electricity across the entire country. The results of the study show that maximum saving is obtained in this scenario by at least 0.7% on the consumption of lighting electricity. (author)

Highly-resolved modeling of personal transportation energy consumption in the United States

International Nuclear Information System (INIS)

Muratori, Matteo; Moran, Michael J.; Serra, Emmanuele; Rizzoni, Giorgio

2013-01-01

This paper centers on the estimation of the total primary energy consumption for personal transportation in the United States, to include gasoline and/or electricity consumption, depending on vehicle type. The bottom-up sector-based estimation method introduced here contributes to a computational tool under development at The Ohio State University for assisting decision making in energy policy, pricing, and investment. In order to simulate highly-resolved consumption profiles three main modeling steps are needed: modeling the behavior of drivers, generating realistic driving profiles, and simulating energy consumption of different kinds of vehicles. The modeling proposed allows for evaluating the impact of plug-in electric vehicles on the electric grid – especially at the distribution level. It can serve as a tool to compare different vehicle types and assist policy-makers in estimating their impact on primary energy consumption and the role transportation can play to reduce oil dependency. - Highlights: • Modeling primary energy consumption for personal transportation in the United States. • Behavior of drivers has been simulated in order to establish when driving events occur and the length of each event. • Realistic driving profiles for each driving event are generated using a stochastic model. • The model allows for comparing the initial cost of different vehicles and their expected energy-use operating cost. • Evaluation of the impact of PEVs on the electric grid – especially at the distribution level – can be performed

Operational Water Withdrawal and Consumption Factors for Electricity Generation Technology in China—A Literature Review

Directory of Open Access Journals (Sweden)

Jinjing Gao

2018-04-01

Full Text Available As two indispensable resources for human development, energy and water are closely related. China, as the world’s largest consumer of electricity, is also experiencing very serious water shortages. Understanding the water consumption intensity in various types of electric power production technologies according to China’s national conditions is a prerequisite for understanding the potential impact of electrical power production on water resources. Therefore, following the steps of a meta-analysis, this paper provides a literature review on operational water withdrawal and consumption factors for electricity generation technology in China. We observed that 50% of water consumption for electricity generation was for coal power, whereas there was no research on the water consumption intensity of natural gas power generation, and a shortage of studies on water intake during electrical power production. The average water consumption intensity of hydropower is the largest. The results indicate that compared with other fuel types, hydropower is not a sustainable energy with respect to water conservation, and the study of hydropower applications should be improved in China.

Testing for convergence in electricity consumption across Croatian regions at the consumer's sectoral level

International Nuclear Information System (INIS)

Borozan, Djula

2017-01-01

Using the panel unit tests with and without structural break(s), the convergence hypothesis in relative per capita electricity consumption series is tested across Croatian regions during the period 2001–2013. The results are mixed, depending primarily on the consumption sector considered and the test applied. They indicate the necessity to conduct analysis and formulate energy policy measures on the sector-disaggregated and regional-specific electricity consumption time series. The Croatian electricity markets are not fully integrated, and some regions are faced with statistically significant structural break(s), demonstrating thereby the Croatian gradual energy reform process with several sudden innovations, significant regional differences, and the market dependence on expectations, domestic and international economic and non-economic innovations. The impacts of innovations are likely to be permanent for most of the regions, and their electricity consumption behaviours are likely to be path dependent. Consequently, innovations into the energy markets, including government interventions, may have long-run effects, indicating that space and time for experimenting with alternative mechanisms are quite limited.

Environmental degradation, economic growth and energy consumption: Evidence of the environmental Kuznets curve in Malaysia

International Nuclear Information System (INIS)

Saboori, Behnaz; Sulaiman, Jamalludin

2013-01-01

This paper tests for the short and long-run relationship between economic growth, carbon dioxide (CO 2 ) emissions and energy consumption, using the Environmental Kuznets Curve (EKC) by employing both the aggregated and disaggregated energy consumption data in Malaysia for the period 1980–2009. The Autoregressive Distributed Lag (ARDL) methodology and Johansen–Juselius maximum likelihood approach were used to test the cointegration relationship; and the Granger causality test, based on the vector error correction model (VECM), to test for causality. The study does not support an inverted U-shaped relationship (EKC) when aggregated energy consumption data was used. When data was disaggregated based on different energy sources such as oil, coal, gas and electricity, the study does show evidences of the EKC hypothesis. The long-run Granger causality test shows that there is bi-directional causality between economic growth and CO 2 emissions, with coal, gas, electricity and oil consumption. This suggests that decreasing energy consumption such as coal, gas, electricity and oil appears to be an effective way to control CO 2 emissions but simultaneously will hinder economic growth. Thus suitable policies related to the efficient consumption of energy resources and consumption of renewable sources are required. - Highlights: • We investigated the EKC hypothesis by using Malaysian energy aggregated and disaggregated data. • It was found that the EKC is not supported, using the aggregated data (energy consumption). • However using disaggregated energy data (oil, coal and electricity) there is evidence of EKC. • Causality shows no causal relationship between economic growth and energy consumption in the short-run. • Economic growth Granger causes energy consumption and energy consumption causes CO 2 emissions in long-run

Understanding household energy consumption patterns: When 'West Is Best' in Metro Manila

Energy Technology Data Exchange (ETDEWEB)

Sahakian, Marlyne D., E-mail: marlyne.sahakian@graduateinstitute.c [Graduate Institute of International and Development Studies, Development Studies, 20 rue Rothschild, 1207 Geneva (Switzerland)

2011-02-15

This paper addresses the topic of energy and development through a multi-disciplinary and systemic approach that combines environmental considerations with a social understanding of consumption. The focus is on electricity usage in the home and specifically lighting and cooling. Set in the urban mega-polis of Metro Manila, the Philippines, energy consumption is first placed in its biophysical perspective: the energy sources and electricity grid are presented, in relation to the Philippines as well as the region. The research findings then explore the social and cultural drivers behind household electricity consumption, revealing in several examples the strong influence of globalization-understood here as the flow of people, remittances, images and ideas. Policy recommendations are provided, based on the research results, with concluding remarks relevant to other similar contexts. - Research highlights: {yields}Metro Manila household electricity consumption is environmentally significant. {yields}The meaning given to electricity services varies by socio-economic group. {yields}Structural conditions, such as building type, can lock-in energy consumption. {yields}Global flows-people, ideas, remittances-influence local consumption patterns. {yields}Social networks, rather than the individual consumer, can influence change.

The method of planning the energy consumption for electricity market

Science.gov (United States)

Russkov, O. V.; Saradgishvili, S. E.

2017-10-01

The limitations of existing forecast models are defined. The offered method is based on game theory, probabilities theory and forecasting the energy prices relations. New method is the basis for planning the uneven energy consumption of industrial enterprise. Ecological side of the offered method is disclosed. The program module performed the algorithm of the method is described. Positive method tests at the industrial enterprise are shown. The offered method allows optimizing the difference between planned and factual consumption of energy every hour of a day. The conclusion about applicability of the method for addressing economic and ecological challenges is made.

Electricity consumption in school buildings - benchmark and web tools; Elforbrug i skoler - benchmark og webvaerktoej

Energy Technology Data Exchange (ETDEWEB)

NONE

2006-07-01

The aim of this project has been to produce benchmarks for electricity consumption in Danish schools in order to encourage electricity conservation. An internet programme has been developed with the aim of facilitating schools' access to benchmarks and to evaluate energy consumption. The overall purpose is to create increased attention to the electricity consumption of each separate school by publishing benchmarks which take the schools' age and number of pupils as well as after school activities into account. Benchmarks can be used to make green accounts and work as markers in e.g. energy conservation campaigns, energy management and for educational purposes. The internet tool can be found on www.energiguiden.dk. (BA)

Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior

International Nuclear Information System (INIS)

Kavousian, Amir; Rajagopal, Ram; Fischer, Martin

2013-01-01

We propose a method to examine structural and behavioral determinants of residential electricity consumption, by developing separate models for daily maximum (peak) and minimum (idle) consumption. We apply our method on a data set of 1628 households' electricity consumption. The results show that weather, location and floor area are among the most important determinants of residential electricity consumption. In addition to these variables, number of refrigerators and entertainment devices (e.g., VCRs) are among the most important determinants of daily minimum consumption, while number of occupants and high-consumption appliances such as electric water heaters are the most significant determinants of daily maximum consumption. Installing double-pane windows and energy-efficient lights helped to reduce consumption, as did the energy-conscious use of electric heater. Acknowledging climate change as a motivation to save energy showed correlation with lower electricity consumption. Households with individuals over 55 or between 19 and 35 years old recorded lower electricity consumption, while pet owners showed higher consumption. Contrary to some previous studies, we observed no significant correlation between electricity consumption and income level, home ownership, or building age. Some otherwise energy-efficient features such as energy-efficient appliances, programmable thermostats, and insulation were correlated with slight increase in electricity consumption. - Highlights: • Weather, location and floor area are the most important determinants of residential electricity use. • Daily minimum and maximum are explained by different factors. • Number of refrigerators and entertainment devices explain daily minimum the best. • Number of occupants and high-consumption appliances explain daily maximum the best. • Other factors such as energy efficient features and household's socioeconomic status are examined

Electricity consumption and GHG emissions in GCC countries

Energy Technology Data Exchange (ETDEWEB)

Qader, M. R. [Applied Studies College, University of Bahrain, P.O. Box 32038 (Bahrain)

2009-07-01

CO{sub 2}, N{sub 2}O, and CH{sub 4} are the three most widespread Greenhouse Gases (GHGs). Electricity consumption and the related CO{sub 2}-equivalent gas emissions resulting from oil and gas combustion for the six countries that comprise the Cooperation Council for the Arab States of the Gulf [Kingdom of Saudi Arabia (SA), Kuwait (KW), Bahrain (BH), Oman (OM), United Arab Emirates (AE) and Qatar (QA); also referred to as the Gulf Cooperation Council, GCC)] have been compared. The analysis of the relevant data shows that GCC countries contribute significantly to the global CO{sub 2} emissions, and that the majority of their emissions are concentrated in the energy extraction and conversion sectors, mainly from oil drilling and electricity production. Some analysis is offered as to the reasons behind the excessive increase in the electrical demand that is obviously linked to a non-rational pattern of electricity consumption. (author)

Energy consumption, carbon emissions and economic growth nexus in Bangladesh: Cointegration and dynamic causality analysis

International Nuclear Information System (INIS)

Jahangir Alam, Mohammad; Ara Begum, Ismat; Buysse, Jeroen; Van Huylenbroeck, Guido

2012-01-01

The paper investigates the possible existence of dynamic causality between energy consumption, electricity consumption, carbon emissions and economic growth in Bangladesh. First, we have tested cointegration relationships using the Johansen bi-variate cointegration model. This is complemented with an analysis of an auto-regressive distributed lag model to examine the results' robustness. Then, the Granger short-run, the long-run and strong causality are tested with a vector error correction modelling framework. The results indicate that uni-directional causality exists from energy consumption to economic growth both in the short and the long-run while a bi-directional long-run causality exists between electricity consumption and economic growth but no causal relationship exists in short-run. The strong causality results indicate bi-directional causality for both the cases. A uni-directional causality runs from energy consumption to CO 2 emission for the short-run but feedback causality exists in the long-run. CO 2 Granger causes economic growth both in the short and in the long-run. An important policy implication is that energy (electricity as well) can be considered as an important factor for the economic growth in Bangladesh. Moreover, as higher energy consumption also means higher pollution in the long-run, policy makers should stimulate alternative energy sources for meeting up the increasing energy demand. - Highlights: ► Dynamic causality among energy and electricity consumption, CO 2 and economic growth. ► Uni-directional causality exists from energy consumption to economic growth. ► Bi-directional causality exists between electricity consumption and economic growth. ► Feedback causality exists between CO 2 emission to energy consumption. ► CO 2 Granger causes economic growth both in the short and in the long-run.

2000 energy balances and electricity profiles

International Nuclear Information System (INIS)

2004-01-01

This is the eleventh issue of Energy Balances and Electricity Profiles published by the Statistics Division of the United Nations Secretariat. Like previous issues, this volume presents energy data for selected countries in a format which shows the overall picture of energy production, conversion and consumption for fuels utilised in the country. Such a publication is useful in assessing and analysing production and consumption patterns in detail on an internationally comparable basis. Since it began publishing energy balances, the Statistics Division has adopted the matrix type of overall energy balance that shows energy sources in the columns and energy flows in the rows. The format is described in detail in the technical report entitled Concepts and Methods in Energy Statistics, with Special Reference to Energy Accounts and Balances and is also discussed in the publication, Energy Statistics: A Manual for Developing Countries. The level of detail of this matrix structure takes into account the need for disaggregation of the energy sector and final demand, while at the same time, owing to the limitations in the quantity and quality of the currently available energy information, coverage has to be restricted to the main sectors only. Furthermore, it should be recognized that unlike national energy balances designed for individual countries' various specific needs, the energy balance format of the Statistics Division has to accommodate the whole spectrum of national energy data which it receives from national statistical offices and through official national publications. Inasmuch as information on electricity is generally available in greater detail than that for other energy forms, the Statistics Division decided to present special electricity profiles for an additional group of countries and areas, thereby covering at least part of their energy conversion and consumption activities. World energy data is published by the Statistics Division in the Energy

2002 energy balances and electricity profiles

International Nuclear Information System (INIS)

2005-01-01

This is the twelfth issue of Energy Balances and Electricity Profiles published by the Statistics Division of the United Nations Secretariat. Like previous issues, this volume presents energy data for selected countries in a format which shows the overall picture of energy production, conversion and consumption for fuels utilised in the country. Such a publication is useful in assessing and analysing production and consumption patterns in detail on an internationally comparable basis. Since it began publishing energy balances, the Statistics Division has adopted the matrix type of overall energy balance that shows energy sources in the columns and energy flows in the rows. The format is described in detail in the technical report entitled Concepts and Methods in Energy Statistics, with Special Reference to Energy Accounts and Balances and is also discussed in the publication, Energy Statistics: A Manual for Developing Countries. The level of detail of this matrix structure takes into account the need for disaggregation of the energy sector and final demand, while at the same time, owing to the limitations in the quantity and quality of the currently available energy information, coverage has to be restricted to the main sectors only. Furthermore, it should be recognized that unlike national energy balances designed for individual countries' various specific needs, the energy balance format of the Statistics Division has to accommodate the whole spectrum of national energy data which it receives from national statistical offices and through official national publications. Inasmuch as information on electricity is generally available in greater detail than that for other energy forms, the Statistics Division decided to present special electricity profiles for an additional group of countries and areas, thereby covering at least part of their energy conversion and consumption activities. World energy data is published by the Statistics Division in the Energy

1998 energy balances and electricity profiles

International Nuclear Information System (INIS)

2001-01-01

This is the tenth issue of Energy Balances and Electricity Profiles published by the Statistics Division of the United Nations Secretariat. Like previous issues, this volume presents energy data for selected countries in a format which shows the overall picture of energy production, conversion and consumption for fuels utilised in the country. Such a publication is useful in assessing and analysing production and consumption patterns in detail on an internationally comparable basis. Since it began publishing energy balances, the Statistics Division has adopted the matrix type of overall energy balance that shows energy sources in the columns and energy flows in the rows. The format is described in detail in the technical report entitled Concepts and Methods in Energy Statistics, with Special Reference to Energy Accounts and Balances and is also discussed in the publication, Energy Statistics: A Manual for Developing Countries. The level of detail of this matrix structure takes into account the need for disaggregation of the energy sector and final demand, while at the same time, owing to the limitations in the quantity and quality of the currently available energy information, coverage has to be restricted to the main sectors only. Furthermore, it should be recognized that unlike national energy balances designed for individual countries' various specific needs, the energy balance format of the Statistics Division has to accommodate the whole spectrum of national energy data which it receives from national statistical offices and through official national publications. Inasmuch as information on electricity is generally available in greater detail than that for other energy forms, the Statistics Division decided to present special electricity profiles for an additional group of countries and areas, thereby covering at least part of their energy conversion and consumption activities. World energy data is published by the Statistics Division in the Energy Statistics

1994 energy balances and electricity profiles

International Nuclear Information System (INIS)

1996-01-01

This is the eighth issue of Energy Balances and Electricity Profiles published by the Statistics Division of the United Nations Secretariat. Like previous issues, this volume presents energy data for selected countries and areas in a format which shows the overall picture of energy production, conversion and consumption for each fuel utilized in the country. Such a publication is useful in assessing and analyzing production and consumption patterns in detail on an internationally comparable basis

Sustainable Development of Regional Power Systems and the Consumption of Electric Energy

Directory of Open Access Journals (Sweden)

Evgeny Lisin

2018-04-01

Full Text Available Nowadays, one of the most imminent problems facing power systems in post-industrial countries is the sustainable development of power systems under conditions of increasing power consumption irregularity due to the reduction of the industry’s share in consumers’ demand for electric power. In today’s Russia, this issue is becoming very acute due to the significant share of electric power and heat co-generation that is demonstrating low manoeuvrability and poor adaptation to operations in the daily variation of electric power demand. This paper considers the problem of improving the power system steady-state through the optimization of the production structure of thermal power plants. We propose a combinatorial algorithm that improves the planning of the structural and technological modernization of the power equipment configuration, with a glance at the forecast of the increasing irregularity of power consumption.

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

Trends in energy use in commercial buildings -- Sixteen years of EIA's commercial buildings energy consumption survey

Energy Technology Data Exchange (ETDEWEB)

Davis, J.; Swenson, A.

1998-07-01

The Commercial Buildings Energy Consumption Survey (CBECS) collects basic statistical information on energy consumption and energy-related characteristics of commercial buildings in the US. The first CBECS was conducted in 1979 and the most recent was completed in 1995. Over that period, the number of commercial bindings and total amount of floorspace increased, total consumption remained flat, and total energy intensity declined. By 1995, there were 4.6 million commercial buildings and 58.8 billion square feet of floorspace. The buildings consumed a total of 5.3 quadrillion Btu (site energy), with a total intensity of 90.5 thousand Btu per square foot per year. Electricity consumption exceeded natural gas consumption (2.6 quadrillion and 1.9 quadrillion Btu, respectively). In 1995, the two major users of energy were space heating (1.7 quadrillion Btu) and lighting (1.2 quadrillion Btu). Over the period 1979 to 1995, natural gas intensity declined from 71.4 thousand to 51.0 thousand Btu per square foot per year. Electricity intensity did not show a similar decline (44.2 thousand Btu per square foot in 1979 and 45.7 thousand Btu per square foot in 1995). Two types of commercial buildings, office buildings and mercantile and service buildings, were the largest consumers of energy in 1995 (2.0 quadrillion Btu, 38% of total consumption). Three building types, health care, food service, and food sales, had significantly higher energy intensities. Buildings constructed since 1970 accounted for half of total consumption and a majority (59%) of total electricity consumption.

Energy labeling for electric fans in Malaysia

International Nuclear Information System (INIS)

Mahlia, T.M.I.; Masjuki, H.H.; Taha, F.M.; Rahim, N.A.; Saidur, R.

2005-01-01

To reduce energy consumption in the residential sector, Malaysia Energy Commission is considering implementing energy labels for household electrical appliances including electric fans in 2005. The purpose of the energy labels is to provide the consumers a guideline to compare the size, features, price and efficiency of the appliance. This paper discusses the energy label for electric fans in this country based on Malaysian Standards developed by a technical committee that reviewed the performance of household electrical appliances. This study includes methodology for the calculation of the energy efficiency star rating and projected energy usage, performance requirements, details of the energy label and the requirements for the valid application in Malaysia. The label also can be adopted for other household electrical appliances with only slight modifications

Tweeting : Smart meters raise awareness of energy consumption in buildings

Energy Technology Data Exchange (ETDEWEB)

Anon.

2009-11-15

The University of Mississippi (UM) will monitor, analyze and report on energy consumption in its campus buildings in real-time using SmartSynch Smart Meters. The technology uses smart meter data to help identify a detailed pattern of electricity usage with the objective of finding methods to alter behaviour to reduce electricity usage and carbon emissions. SmartSynch installed 16 Smart Meters on campus with additional deployments being planned. The technology will enable the university to monitor energy consumption, track building power performance over time, compare building energy usage, and review the impact of the weather on energy use while reducing its carbon footprint. Additionally, UM will use Facebook, Twitter and an RSS feed to provide regular public updates on its buildings' energy consumption based on SmartSynch Smart Meter data. Each building will have its own profile on the social networking sites. 1 ref., 1 fig.

Tweeting : Smart meters raise awareness of energy consumption in buildings

Energy Technology Data Exchange (ETDEWEB)

Anon,

2009-11-15

The University of Mississippi (UM) will monitor, analyze and report on energy consumption in its campus buildings in real-time using SmartSynch Smart Meters. The technology uses smart meter data to help identify a detailed pattern of electricity usage with the objective of finding methods to alter behaviour to reduce electricity usage and carbon emissions. SmartSynch installed 16 Smart Meters on campus with additional deployments being planned. The technology will enable the university to monitor energy consumption, track building power performance over time, compare building energy usage, and review the impact of the weather on energy use while reducing its carbon footprint. Additionally, UM will use Facebook, Twitter and an RSS feed to provide regular public updates on its buildings' energy consumption based on SmartSynch Smart Meter data. Each building will have its own profile on the social networking sites. 1 ref., 1 fig.

An Improved Artificial Colony Algorithm Model for Forecasting Chinese Electricity Consumption and Analyzing Effect Mechanism

Directory of Open Access Journals (Sweden)

Jingmin Wang

2016-01-01

Full Text Available Electricity consumption forecast is perceived to be a growing hot topic in such a situation that China’s economy has entered a period of new normal and the demand of electric power has slowed down. Therefore, exploring Chinese electricity consumption influence mechanism and forecasting electricity consumption are crucial to formulate electrical energy plan scientifically and guarantee the sustainable economic and social development. Research has identified medium and long term electricity consumption forecast as a difficult study influenced by various factors. This paper proposed an improved Artificial Bee Colony (ABC algorithm which combined with multivariate linear regression (MLR for exploring the influencing mechanism of various factors on Chinese electricity consumption and forecasting electricity consumption in the future. The results indicated that the improved ABC algorithm in view of the various factors is superior to traditional models just considering unilateralism in accuracy and persuasion. The overall findings cast light on this model which provides a new scientific and effective way to forecast the medium and long term electricity consumption.

Economic growth-electricity consumption causality in 12 European countries: A dynamic panel data approach

International Nuclear Information System (INIS)

Ciarreta, A.; Zarraga, A.

2010-01-01

This paper applies recent panel methodology to investigate the long-run and causal relationship between electricity consumption and real GDP for a set of 12 European countries using annual data for the period 1970-2007. The sample countries have moved faster than other neighboring countries towards the creation of a single electricity market over the past 30 years. Energy prices are also included in the study due to their important role in affecting the above variables, thus avoiding the problem of omitted variable bias. Tests for panel unit roots, cointegration in heterogeneous panels and panel causality are employed in a trivariate VECM estimated by system GMM. The results show evidence of a long-run equilibrium relationship between the three series and a negative short-run and strong causality from electricity consumption to GDP. As expected, there is bidirectional causality between energy prices and GDP and weaker evidence between electricity consumption and energy prices. These results support the policies implemented towards the creation of a common European electricity market.

Modelling the multilevel structure and mixed effects of the factors influencing the energy consumption of electric vehicles

International Nuclear Information System (INIS)

Liu, Kai; Wang, Jiangbo; Yamamoto, Toshiyuki; Morikawa, Takayuki

2016-01-01

Highlights: • The impacts of driving heterogeneity on EVs’ energy efficiency are examined. • Several multilevel mixed-effects regression models are proposed and compared. • The most reasonable nested structure is extracted from the long term GPS data. • Proposed model improves the energy estimation accuracy by 7.5%. - Abstract: To improve the accuracy of estimation of the energy consumption of electric vehicles (EVs) and to enable the alleviation of range anxiety through the introduction of EV charging stations at suitable locations for the near future, multilevel mixed-effects linear regression models were used in this study to estimate the actual energy efficiency of EVs. The impacts of the heterogeneity in driving behaviour among various road environments and traffic conditions on EV energy efficiency were extracted from long-term daily trip-based energy consumption data, which were collected over 12 months from 68 in-use EVs in Aichi Prefecture in Japan. Considering the variations in energy efficiency associated with different types of EV ownership, different external environments, and different driving habits, a two-level random intercept model, three two-level mixed-effects models, and two three-level mixed-effects models were developed and compared. The most reasonable nesting structure was determined by comparing the models, which were designed with different nesting structures and different random variance component specifications, thereby revealing the potential correlations and non-constant variability of the energy consumption per kilometre (ECPK) and improving the estimation accuracy by 7.5%.

1992 energy balances and electricity profiles

International Nuclear Information System (INIS)

1994-01-01

This is the seventh issue of Energy Balances and Electricity Profiles published by the Statistical Division of the United Nations Secretariat. Like previous issues, this volume presents energy data for selected developing countries and areas in a format which shows the overall picture of energy production, conversion and consumption for each fuel utilised in the country. Such a publication is useful in assessing and analyzing production and consumption patterns in detail on an internationally comparable basis

Overview of electrical energy in may 2003

International Nuclear Information System (INIS)

2003-01-01

This document aims to give information on the exploitation of the transmission public network and the french electric power industry during may 2003: the internal electric power consumption in France (national consumption is the total of all the electrical energy supplied for consumption in France (including Corsica, but not the French Overseas Departments), thermal and hydro generation + imports - exports - pumping, and which have been consumed in the transmission and distribution networks, by the end-users, as well as by losses) - May 2003 gross consumption is 1.4% lower compared to May 2002. This is due to a 1.3 deg. C rise this year in May average temperature. However, the monthly consumption is 0.9% higher than May 2002 consumption if climatic effects are put aside. The growth rate of the corrected consumption over the last 12 months shows a rise of 0.2% from last month, whereas the growth rate of gross consumption over the last 12 months shows a decrease of 0.2% compared to April 2002; the energy accounting from the transmission point of view (The balance recorded by RTE takes into account only the energy physical flows conveyed on the RTE network) - on May 2003, consumption has fallen compared to May 2002, as did exports (-0.9 TWh). Consequently the global volume of injections shows a loss of 1.2 TWh. Compared to May 2002, thermal generation and hydroelectric generation have respectively lost 1.1 TWh and 0.3 TWh. Imports are roughly 0.2 TWh up; the consumption and the physical exchanges (these values reflect all the flows on the RTE network, as well as the generation auto-consumed by the industrial consumers connected to this network); the electric power market: the market players, contractual exchanges recorded by RTE contracts for access to international connections, contractual exchanges by border; and the evolution of the transmission network: on May 2003 the 4.3 km-long 225 kV Bouscat-Bruges underground link has come into service on the RTE system

Prediction of electric energy consumption in Cuba for the period 2000-2015; Pronostico del consumo de electricidad en Cuba durante el periodo 2000-2015

Energy Technology Data Exchange (ETDEWEB)

Garcia Rodirguez, B [Centro Nacional de Seguridad Nuclear, La Habana (Cuba)

1999-06-01

This paper consists on a prediction of the growth in electric energy consumption in Cuba, for the period 2000-2015 and with respect to 1990, it also considers the specific features of the National Electroenergetic System. Validated Guidelines in accordance with the Delphi method, which incorporates the basis characteristics considered by international programs for these predictions, were used for this purpose. From the analysis of the behaviour in power consumption of the different consumers and of the expected changes in them according to the expected scenarios, a prediction on the growth in the demand of electric energy is made.

Energy consumption and economic growth: Evidence from China at both aggregated and disaggregated levels

International Nuclear Information System (INIS)

Yuan Jiahai; Kang Jiangang; Zhao Changhong; Hu Zhaoguang

2008-01-01

Using a neo-classical aggregate production model where capital, labor and energy are treated as separate inputs, this paper tests for the existence and direction of causality between output growth and energy use in China at both aggregated total energy and disaggregated levels as coal, oil and electricity consumption. Using the Johansen cointegration technique, the empirical findings indicate that there exists long-run cointegration among output, labor, capital and energy use in China at both aggregated and all three disaggregated levels. Then using a VEC specification, the short-run dynamics of the interested variables are tested, indicating that there exists Granger causality running from electricity and oil consumption to GDP, but does not exist Granger causality running from coal and total energy consumption to GDP. On the other hand, short-run Granger causality exists from GDP to total energy, coal and oil consumption, but does not exist from GDP to electricity consumption. We thus propose policy suggestions to solve the energy and sustainable development dilemma in China as: enhancing energy supply security and guaranteeing energy supply, especially in the short run to provide adequate electric power supply and set up national strategic oil reserve; enhancing energy efficiency to save energy; diversifying energy sources, energetically exploiting renewable energy and drawing out corresponding policies and measures; and finally in the long run, transforming development pattern and cut reliance on resource- and energy-dependent industries

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.

Comparison of machine learning methods for estimating energy consumption in buildings

NARCIS (Netherlands)

Mocanu, E.; Nguyen, P.H.; Gibescu, M.; Kling, W.L.

2014-01-01

The increasing number of decentralized renewable energy sources together with the grow in overall electricity consumption introduce many new challenges related to dimensioning of grid assets and supply-demand balancing. Approximately 40% of the total energy consumption is used to cover the needs of

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.

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....

Electricity consumption and economic growth: evidence from Korea

International Nuclear Information System (INIS)

Yoo, Seung-Hoon

2005-01-01

This paper investigates the short- and long-run causality issues between electricity consumption and economic growth in Korea by using the co-integration and error-correction models. It employs annual data covering the period 1970-2002. The overall results show that there exists bi-directional causality between electricity consumption and economic growth. This means that an increase in electricity consumption directly affects economic growth and that economic growth also stimulates further electricity consumption

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.)

Guideline for Achieving a Target Share of Renewable Energy in Final Energy Consumption in Slovenia Until 2020

International Nuclear Information System (INIS)

Brecevic, Dj.

2009-01-01

European parliament's and Council for energy usage from renewable sources promotion's directive proposal determines acceptation of National action plan for every member state. General national goal for renewable energy share in final consumption in year 2020, defined in proposal, is 25 % energy from renewable sources in final energy consumption. Paper presents plan for renewable energy sources usage in electricity production and activities, which will be necessary to be held by organizations, which are carriers of energy activities, for building new capacities or rebuilding existing ones for electricity production from renewable energy sources. Purpose of plan is additional 3.000 GWh electricity production in year 2020 in comparison with today's electricity production from renewable energy sources. Accepted goal will be obligatory for organizations as carriers of energy activities for their social responsibility for obligations fulfillment and determined goals achievement. Report represents necessary steps that state has to make to reach bigger interest of investors for renewable energy investments and special attention is stressed on completion of regulation with goal to create suitable platform for future investors.(author).

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.

A cross-sectional study of the temporal evolution of electricity consumption of six commercial buildings.

Directory of Open Access Journals (Sweden)

Ethan M Pickering

Full Text Available Current approaches to building efficiency diagnoses include conventional energy audit techniques that can be expensive and time consuming. In contrast, virtual energy audits of readily available 15-minute-interval building electricity consumption are being explored to provide quick, inexpensive, and useful insights into building operation characteristics. A cross sectional analysis of six buildings in two different climate zones provides methods for data cleaning, population-based building comparisons, and relationships (correlations of weather and electricity consumption. Data cleaning methods have been developed to categorize and appropriately filter or correct anomalous data including outliers, missing data, and erroneous values (resulting in < 0.5% anomalies. The utility of a cross-sectional analysis of a sample set of building's electricity consumption is found through comparisons of baseload, daily consumption variance, and energy use intensity. Correlations of weather and electricity consumption 15-minute interval datasets show important relationships for the heating and cooling seasons using computed correlations of a Time-Specific-Averaged-Ordered Variable (exterior temperature and corresponding averaged variables (electricity consumption(TSAOV method. The TSAOV method is unique as it introduces time of day as a third variable while also minimizing randomness in both correlated variables through averaging. This study found that many of the pair-wise linear correlation analyses lacked strong relationships, prompting the development of the new TSAOV method to uncover the causal relationship between electricity and weather. We conclude that a combination of varied HVAC system operations, building thermal mass, plug load use, and building set point temperatures are likely responsible for the poor correlations in the prior studies, while the correlation of time-specific-averaged-ordered temperature and corresponding averaged variables method

Is it so bad? Energy consumption and changes in stocks of energy-converting artefacts

Energy Technology Data Exchange (ETDEWEB)

Bladh, Mats (Department of Thematic Studies, Technology and Social Change, Linkoeping University (Sweden))

2011-07-01

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 use (such as more cars) and improvements in energy efficiency (such as more fuel-efficient engines). Since the 1970s energy consumption has stagnated in Sweden. This means that increasing supply has been counteracted by measures improving overall energy efficiency to a larger degree than before. How can longterm development in energy consumption be analysed? This paper proposes a change-of-stock model 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. The basic idea is that changes in composition, size and use of stocks of these energy converters explain energy consumption. Gains in efficiency can be reached in two ways, either through changing technological path (such as electric cars instead of petrol-driven cars) or improvements within the path taken (such as fuel-efficient combustion engines). As the existence of path dependence is assumed here, it is expected that the latter will dominate. But does that mean small gains in energy saved? 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. Thus, incremental changes are important, but are partially offset by changes in characteristics of the artefacts. Radical changes, such as the factual change from air to rail transportation, and a counterfactual double switch from gasoline to electric cars and from electric heating to district heating, as well as probable gains from the phase-out of incandescent lamps, show even bigger gains. Both incremental and radical changes are the subject of counteracting tendencies, of a broader nature than that associated with rebound effects, such as more cars per inhabitant and fewer people in each dwelling. The

Electric energy savings from new technologies

Energy Technology Data Exchange (ETDEWEB)

Moe, R.J.; Harrer, B.J.; Kellogg, M.A.; Lyke, A.J.; Imhoff, K.L.; Fisher, Z.J.

1986-01-01

Purpose of the report is to provide information about the electricity-saving potential of new technologies to OCEP that it can use in developing alternative long-term projections of US electricity consumption. Low-, base-, and high-case scenarios of the electricity savings for ten technologies were prepared. The total projected annual savings for the year 2000 for all ten technologies were 137 billion kilowatt hours (BkWh), 279 BkWh, and 470 BkWh, respectively, for the three cases. The magnitude of these savings projections can be gauged by comparing them to the Department's reference case projection for the 1985 National Energy Policy Plan. In the Department's reference case, total consumption in 2000 is projected to be 3319 BkWh. Thus, the savings projected here represent between 4% and 14% of total consumption projected for 2000. Because approximately 75% of the base-case estimate of savings are already incorporated into the reference forecast, reducing projected electricity consumption from what it otherwise would have been, the savings estimated here should not be directly subtracted from the reference forecast.

Electric power economy: comparative study of electric power consumption in many methods of outfloor control

International Nuclear Information System (INIS)

Kubota, Hideo; Tsitiya, Milton Tomoyuki

1989-01-01

This work presents a comparative study of the electric power consumption of a water elevatory station in order to verify which method is the most suitable in energy economy through the outflow variation in function of the demand

Electricity tariff systems for informatics system design regarding consumption optimization in smart grids

Directory of Open Access Journals (Sweden)

Simona Vasilica OPREA

2016-01-01

Full Text Available High volume of data is gathered via sensors and recorded by smart meters. These data are processed at the electricity consumer and grid operators' side by big data analytics. Electricity consumption optimization offers multiple advantages for both consumers and grid operators. At the electricity customer level, by optimizing electricity consumption savings are significant, but the main benefits will come from indirect aspects such as avoiding onerous grid investments, higher volume of renewable energy sources' integration, less polluted environment etc. In order to optimize electricity consumption, advanced tariff systems are essential due to the financial incentive they provide for electricity consumers' behaviour change. In this paper several advanced tariff systems are described in details. These systems are applied in England, Spain, Italy, France, Norway and Germany. These systems are compared from characteristics, advantages/disadvantages point of view. Then, different tariff systems applied in Romania are presented. Romanian tariff systems have been designed for various electricity consumers' types. Different tariff systems applied by grid operators or electricity suppliers will be included in the database model that is part of an informatics system for electricity consumption optimization.

Households' hourly electricity consumption and peak demand in Denmark

DEFF Research Database (Denmark)

Møller Andersen, Frits; Baldini, Mattia; Hansen, Lars Gårn

2017-01-01

consumption, we analyse the contribution of appliances and new services, such as individual heat pumps and electric vehicles, to peak consumption and the need for demand response incentives to reduce the peak.Initially, the paper presents a new model that represents the hourly electricity consumption profile...... of households in Denmark. The model considers hourly consumption profiles for different household appliances and their contribution to annual household electricity consumption. When applying the model to an official scenario for annual electricity consumption, assuming non-flexible consumption due...... to a considerable introduction of electric vehicles and individual heat pumps, household consumption is expected to increase considerably, especially peak hour consumption is expected to increase.Next the paper presents results from a new experiment where household customers are given economic and/or environmental...

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.

Modeling of Monthly Residential and Commercial Electricity Consumption Using Nonlinear Seasonal Models—The Case of Hong Kong

Directory of Open Access Journals (Sweden)

Wai-Ming To

2017-06-01

Full Text Available Accurate modeling and forecasting monthly electricity consumption are the keys to optimizing energy management and planning. This paper examines the seasonal characteristics of electricity consumption in Hong Kong—a subtropical city with 7 million people. Using the data from January 1970 to December 2014, two novel nonlinear seasonal models for electricity consumption in the residential and commercial sectors were obtained. The models show that the city’s monthly residential and commercial electricity consumption patterns have different seasonal variations. Specifically, monthly residential electricity consumption (mainly for appliances and cooling in summer has a quadratic relationship with monthly mean air temperature, while monthly commercial electricity consumption has a linear relationship with monthly mean air temperature. The nonlinear seasonal models were used to predict residential and commercial electricity consumption for the period January 2015–December 2016. The correlations between the predicted and actual values were 0.976 for residential electricity consumption and 0.962 for commercial electricity consumption, respectively. The root mean square percentage errors for the predicted monthly residential and commercial electricity consumption were 7.0% and 6.5%, respectively. The new nonlinear seasonal models can be applied to other subtropical urban areas, and recommendations on the reduction of commercial electricity consumption are given.

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)

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.

Evaluation of energy consumption during aerobic sewage sludge treatment in dairy wastewater treatment plant.

Science.gov (United States)

Dąbrowski, Wojciech; Żyłka, Radosław; Malinowski, Paweł

2017-02-01

The subject of the research conducted in an operating dairy wastewater treatment plant (WWTP) was to examine electric energy consumption during sewage sludge treatment. The excess sewage sludge was aerobically stabilized and dewatered with a screw press. Organic matter varied from 48% to 56% in sludge after stabilization and dewatering. It proves that sludge was properly stabilized and it was possible to apply it as a fertilizer. Measurement factors for electric energy consumption for mechanically dewatered sewage sludge were determined, which ranged between 0.94 and 1.5 kWhm -3 with the average value at 1.17 kWhm -3 . The shares of devices used for sludge dewatering and aerobic stabilization in the total energy consumption of the plant were also established, which were 3% and 25% respectively. A model of energy consumption during sewage sludge treatment was estimated according to experimental data. Two models were applied: linear regression for dewatering process and segmented linear regression for aerobic stabilization. The segmented linear regression model was also applied to total energy consumption during sewage sludge treatment in the examined dairy WWTP. The research constitutes an introduction for further studies on defining a mathematical model used to optimize electric energy consumption by dairy WWTPs. Copyright © 2016 Elsevier Inc. All rights reserved.

Australian energy consumption and production to 2014-15

International Nuclear Information System (INIS)

Dickson, A.

1999-01-01

The medium to long term outlook for the Australian energy sector is examined, drawing on the ABARE report Australian Energy: Market Developments and Projections to 2014-2015. It is estimated that recent market developments, in particular in the electricity and gas markets, and ongoing policy responses to such things as global climate change, will continue to have profound implications for the energy sector over the medium to longer term. In this environment of uncertainty, high quality and timely information on the future of the energy sector is critical to decision makers. The major input into ABARE's energy projections is the information collected in the biennial fuel and electricity survey. The principal sectors covered by the survey include the mining, manufacturing electricity and gas production sectors. There is also some coverage in the government administration, defence, communications and community services sectors (for example, hospitals and universities). Energy consumption in the sectors not adequately covered by the survey are projected using economic models. These include agriculture, construction, wholesale and retail trade, transport other than rail, finance and insurance, government administration and defence, health and community services, property and business services, cultural and recreational services, personal and other services and residential services. The fuel and electricity survey covers about 5,300 separate establishments in 3,000 organisations. Information is collected on current and expected energy consumption patterns and levels. The projections for these sectors are therefore based on consumers' own expectations about factors that will influence their energy use. Responses to the survey are also supplemented by ABARE projections of the energy requirements of known and planned new projects, such as new minerals processing plants or gas pipelines coming on stream

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....

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.

Electricity End Uses, Energy Efficiency, and Distributed Energy Resources Baseline

Energy Technology Data Exchange (ETDEWEB)

Schwartz, Lisa [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Wei, Max [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Morrow, William [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Deason, Jeff [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Schiller, Steven R. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Leventis, Greg [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Smith, Sarah [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Leow, Woei Ling [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Levin, Todd [Argonne National Lab. (ANL), Argonne, IL (United States); Plotkin, Steven [Argonne National Lab. (ANL), Argonne, IL (United States); Zhou, Yan [Oak Ridge Inst. for Science and Education (ORISE), Oak Ridge, TN (United States)

2017-01-01

This report was developed by a team of analysts at Lawrence Berkeley National Laboratory, with Argonne National Laboratory contributing the transportation section, and is a DOE EPSA product and part of a series of “baseline” reports intended to inform the second installment of the Quadrennial Energy Review (QER 1.2). QER 1.2 provides a comprehensive review of the nation’s electricity system and cover the current state and key trends related to the electricity system, including generation, transmission, distribution, grid operations and planning, and end use. The baseline reports provide an overview of elements of the electricity system. This report focuses on end uses, electricity consumption, electric energy efficiency, distributed energy resources (DERs) (such as demand response, distributed generation, and distributed storage), and evaluation, measurement, and verification (EM&V) methods for energy efficiency and DERs.

Energy consumption, carbon emissions and economic growth in Saudi Arabia: An aggregate and disaggregate analysis

International Nuclear Information System (INIS)

Alkhathlan, Khalid; Javid, Muhammad

2013-01-01

The objective of this study is to examine the relationship among economic growth, carbon emissions and energy consumption at the aggregate and disaggregate levels. For the aggregate energy consumption model, we use total energy consumption per capita and CO 2 emissions per capita based on the total energy consumption. For the disaggregate analysis, we used oil, gas and electricity consumption models along with their respective CO 2 emissions. The long-term income elasticities of carbon emissions in three of the four models are positive and higher than their estimated short-term income elasticities. These results suggest that carbon emissions increase with the increase in per capita income which supports the belief that there is a monotonically increasing relationship between per capita carbon emissions and per capita income for the aggregate model and for the oil and electricity consumption models. The long- and short-term income elasticities of carbon emissions are negative for the gas consumption model. This result indicates that if the Saudi Arabian economy switched from oil to gas consumption, then an increase in per capita income would reduce carbon emissions. The results also suggest that electricity is less polluting than other sources of energy. - Highlights: • Carbon emissions increase with the increase in per capita income in Saudi Arabia. • The income elasticity of CO 2 is negative for the gas consumption model. • The income elasticity of CO 2 is positive for the oil consumption model. • The results suggest that electricity is less polluting than oil and gas

Impacts of wireless charging lanes on travel time and energy consumption in a two-lane road system

Science.gov (United States)

He, Jia; Yang, Hai; Huang, Hai-Jun; Tang, Tie-Qiao

2018-06-01

In this paper, we propose a method to compare different energy consumption models and design a strategy to study the quantitative effects of wireless charging lane (WCL) on each electric vehicle's (EV's) link travel time. We utilize the modified energy consumption model and strategy to explore electric vehicle's electricity consumption and link travel time in a two-lane system with a WCL. The numerical results show that EVs' charging behavior on WCL will cause the drivers to execute the lane-changing maneuvers frequently and that the WCL has prominent impacts on EV's energy consumption and travel time, i.e., the capacity drops by 8%-17% while the EV's energy consumption increases by 3%-14% in the two-lane road system.

A COMPARATIVE ANALYSIS OF ENERGY MANAGEMENT STRATEGIES FOR ELECTRIC VEHICLES

OpenAIRE

ÇAKAR, Fahri; YILMAZ, Musa; ASKER, Mehmet Emin

2016-01-01

In next two decade duration the electric car will participate a significant role in auto marketing. The electrical car use electric that is supported by current electrical network. Indeed the current electrical network cannot support the hole system in specific time in the case of loading electric car to it that will increase the demand in that specific time duration. To support the electric car energy requirement you have to manage both energy generation and energy consumption. The solution ...

Overview of electrical energy November 2009

International Nuclear Information System (INIS)

2009-01-01

The purpose of this report is to provide information on the results of operation of the French public transmission network and power system during the past month. Information comes from different sources: electricity generators, ERDF, METEOFRANCE, RTE. The information provided concerns: - the internal electricity consumption (perimeter France), Results at end of past month and Cumulative trend over last 12 months; - the balance of electrical energy in France: Results at end of past month (net generation by source, gross national consumption - End customers connected to the RTE network and Other customers and losses on all networks); Development of wind generation in France, Development of extractions by large-scale industry; - the extreme values for consumption, exchanges (perimeter France, past month and Last 12 months); - the electricity market mechanisms: contractual cross-border electricity exchanges (exports, imports, cumulative total, export balance); balancing mechanism - balance responsible entities; Exchanges between Balance Responsible entities via block exchange notifications; notification of new installations for transmission network development. This document presents the above information for November 2009. (J.S.)

Overview of electrical energy October 2009

International Nuclear Information System (INIS)

2009-01-01

The purpose of this report is to provide information on the results of operation of the French public transmission network and power system during the past month. Information comes from different sources: electricity generators, ERDF, METEOFRANCE, RTE. The information provided concerns: - the internal electricity consumption (perimeter France), Results at end of past month and Cumulative trend over last 12 months; - the balance of electrical energy in France: Results at end of past month (net generation by source, gross national consumption - End customers connected to the RTE network and Other customers and losses on all networks); Development of wind generation in France, Development of extractions by large-scale industry; - the extreme values for consumption, exchanges (perimeter France, past month and Last 12 months); - the electricity market mechanisms: contractual cross-border electricity exchanges (exports, imports, cumulative total, export balance); balancing mechanism - balance responsible entities; Exchanges between Balance Responsible entities via block exchange notifications; notification of new installations for transmission network development. This document presents the above information for October 2009. (J.S.)

Overview of electrical energy January 2010

International Nuclear Information System (INIS)

2010-01-01

The purpose of this report is to provide information on the results of operation of the French public transmission network and power system during the past month. Information comes from different sources: electricity generators, ERDF, METEOFRANCE, RTE. The information provided concerns: - the internal electricity consumption (perimeter France), Results at end of past month and Cumulative trend over last 12 months; - the balance of electrical energy in France: Results at end of past month (net generation by source, gross national consumption - End customers connected to the RTE network and Other customers and losses on all networks); Development in the balance of physical exchanges, Development of extractions by heavy industry; - the extreme values for consumption, exchanges (perimeter France, past month and Last 12 months); - the electricity market mechanisms: contractual cross-border electricity exchanges (exports, imports, cumulative total, export balance); balancing mechanism - balance responsible entities; Exchanges between Balance Responsible entities via block exchange notifications; notification of new installations for transmission network development. This document presents the above information for January 2010. (J.S.)

Overview of electrical energy September 2009

International Nuclear Information System (INIS)

2009-01-01

The purpose of this report is to provide information on the results of operation of the French public transmission network and power system during the past month. Information comes from different sources: electricity generators, ERDF, METEOFRANCE, RTE. The information provided concerns: - the internal electricity consumption (perimeter France), Results at end of past month and Cumulative trend over last 12 months; - the balance of electrical energy in France: Results at end of past month (net generation by source, gross national consumption - End customers connected to the RTE network and Other customers and losses on all networks); Development of wind generation in France, Development of extractions by large-scale industry; - the extreme values for consumption, exchanges (perimeter France, past month and Last 12 months); - the electricity market mechanisms: contractual cross-border electricity exchanges (exports, imports, cumulative total, export balance); balancing mechanism - balance responsible entities; Exchanges between Balance Responsible entities via block exchange notifications; notification of new installations for transmission network development. This document presents the above information for September 2009. (J.S.)

Overview of electrical energy August 2009

International Nuclear Information System (INIS)

2009-01-01

The purpose of this report is to provide information on the results of operation of the French public transmission network and power system during the past month. Information comes from different sources: electricity generators, ERDF, METEOFRANCE, RTE. The information provided concerns: - the internal electricity consumption (perimeter France), Results at end of past month and Cumulative trend over last 12 months; - the balance of electrical energy in France: Results at end of past month (net generation by source, gross national consumption - End customers connected to the RTE network and Other customers and losses on all networks); Development of wind generation in France, Development of extractions by large-scale industry; - the extreme values for consumption, exchanges (perimeter France, past month and Last 12 months); - the electricity market mechanisms: contractual cross-border electricity exchanges (exports, imports, cumulative total, export balance); balancing mechanism - balance responsible entities; Exchanges between Balance Responsible entities via block exchange notifications; notification of new installations for transmission network development. This document presents the above information for August 2009. (J.S.)

A local-community-level, physically-based model of end-use energy consumption by Australian housing stock

International Nuclear Information System (INIS)

Ren Zhengen; Paevere, Phillip; McNamara, Cheryl

2012-01-01

We developed a physics based bottom-up model to estimate annual housing stock energy consumption at a local community level (Census Collection District—CCD) with an hourly resolution. Total energy consumption, including space heating and cooling, water heating, lighting and other household appliances, was simulated by considering building construction and materials, equipment and appliances, local climates and occupancy patterns. The model was used to analyse energy use by private dwellings in more than five thousand CCDs in the state of New South Wales (NSW), Australia. The predicted results focus on electricity consumption (natural gas and other fuel sources were excluded as the data are not available) and track the actual electricity consumption at CCD level with an error of 9.2% when summed to state level. For NSW and Victoria 2006, the predicted state electricity consumption is close to the published model (within 6%) and statistical data (within 10%). A key feature of the model is that it can be used to predict hourly electricity consumption and peak demand at fine geographic scales, which is important for grid planning and designing local energy efficiency or demand response strategies. - Highlights: ► We developed a physics-based model to estimate housing stock energy consumption. ► House type and vintage, family type and occupancy time were considered. ► The model results are close to actual energy consumption at local community level. ► Its’ results agree well with the published model and statistical data at state level. ► It shows the model could provide from hourly to annual residential energy consumption.

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.

Economic growth and electricity consumption in Cote d'Ivoire: Evidence from time series analysis

International Nuclear Information System (INIS)

Kouakou, Auguste K.

2011-01-01

This paper examines the causal relationship between the electric power industry and the economic growth of Cote d'Ivoire. Using the data from 1971 to 2008, a test was conducted for the cointegration and Granger causality within an error correction model. Results from these tests reveal a bidirectional causality between per capita electricity consumption and per capita GDP. A unidirectional causality running from electricity consumption to industry value added appears in the short run. Economic growth is found to have great effects on electricity consumption and a reverse causality from electricity to economic growth may also appear. In the long run, there is a unidirectional causality between electricity and both GDP and industry value added. From these findings, we conclude that the country will be energy dependent in the long run and must therefore secure the production network from shortfalls to ensure a sustainable development path. Accordingly, government should adopt policies aimed at increasing the investment in the sector by stepping up electricity production from existing and new energy sources. - Highlights: → We analyze the electricity-growth nexus for Cote d'Ivoire using causality tests. → Short run bi-directional causality appears between electricity and GDP. → We found a unidirectional causality running from electricity to industry and GDP. → Economic activities are electricity dependent and require appropriate policies.

Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

Science.gov (United States)

Simon, Victor; Johansson, Carl-Anders; Galar, Diego

2017-09-01

All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine's future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

Overview of electrical energy in april 2003

International Nuclear Information System (INIS)

2003-01-01

This document aims to give information on the exploitation of the transmission public network and the french electric power industry during april 2003: the internal electric power consumption in France (national consumption is the total of all the electrical energy supplied for consumption in France (including Corsica, but not the French Overseas Departments), thermal and hydro generation + imports - exports - pumping, and which have been consumed in the transmission and distribution networks, by the end-users, as well as by losses) - national consumption in April 2003 shows a rise of 3.5% compared with the figure of April 2002, despite a higher-than-average temperature of 0.6 deg. C in April 2003 compared with the same month of the prior year. Adjusted for climatic effects, monthly consumption is up 4.0% compared with that of April 2002. The consumption growth rate adjusted over 12 months has risen 0.2% since last month. As for the national consumption growth rate, it increased from +1.5% at the end of March 2003 to +2.0% at the end of April 2003; the energy accounting from the transmission point of view (the balance recorded by RTE takes into account only the energy physical flows conveyed on the RTE network) - in April 2003, consumption was up compared with April 2002, but exports dropped by 1.2 TWh. The overall volume of injections consequently rose by 0.1 TWh, for a total figure of 42.3 TWh. Thermal generation dropped by 0.8 TWh compared with April 2002, while hydro output was up by 0.6 TWh. Imports increased by about 0.3 TWh; the consumption and the physical exchanges (these values reflect all of the flows on the RTE network, as well as the generation auto-consumed by the industrial consumers connected to this network); the electric power market: the market players, contractual exchanges recorded by RTE contracts for access to international connections, contractual exchanges by border; and the evolution of the transmission network: April witnessed the final

Assessment of Thailand indoor set-point impact on energy consumption and environment

International Nuclear Information System (INIS)

Yamtraipat, N.; Khedari, J.; Hirunlabh, J.; Kunchornrat, J.

2006-01-01

The paper presents an investigation of indoor set-point standard of air-conditioned spaces as a tool to control electrical energy consumption of air-conditioners in Thailand office buildings and to reduce air pollutants. One hundred and forty-seven air-conditioned rooms in 13 buildings nationwide were used as models to analyze the electricity consumption of air-conditioning systems according to their set indoor temperatures, which were below the standard set-point and were accounted into a large scale. Then, the electrical energy and environmental saving potentials in the country were assessed by the assumption that adaptation of indoor set-point temperature is increased up to the standard set-point of 26 o C. It was concluded that the impacts of indoor set-point of air-conditioned rooms, set at 26 o C, on energy saving and on environment are as follows: The overall electricity consumption saving would be 804.60 GWh/year, which would reduce the corresponding GHGs emissions (mainly CO 2 ) from power plant by 579.31x10 3 tons/year

Electricity savings from implementation of minimum energy efficiency standard for TVs in Malaysia

Energy Technology Data Exchange (ETDEWEB)

Varman, M.; Masjuki, H.H.; Mahlia, T.M.I. [University of Malaya, Kuala Lumpur (Malaysia). Department of Mechanical Engineering

2005-06-01

The popularization of 24 h pay-TV, interactive video games, web-TV, VCD and DVD in Malaysia are poised to have a large impact on overall TV electricity consumption in the country. With the increasing of overall TV energy consumption, energy efficiency standards are one of highly effective policies for decreasing electricity consumption in the residential sector. Energy efficiency standards are also capable of reducing consumer's electricity bill and contribute towards positive environmental impacts. This paper attempts to predict the amount of energy that can be saved in the residential sector by implementing minimum energy efficiency standard for television sets in Malaysia. Over the past 30 years, television ownership in Malaysian residents has increased from 186,036 units in 1970 to 2,741,640 units in 1991. This figure is expected to reach 6,201,316 units in the year 2010. Hence, efficiency improvement for this appliance will have a significant impact on the future of electricity consumption in this country. (author)

Electricity consumption and economic growth in the GCC countries: Panel data analysis

International Nuclear Information System (INIS)

Osman, Mohamed; Gachino, Geoffrey; Hoque, Ariful

2016-01-01

Applying recent advances in panel data analysis, we investigate the relationship between electricity consumption and economic growth in the GCC countries using annual data from 1975 to 2012. Within a framework which takes into consideration dynamics, heterogeneity and cross-sectional dependence in the panel, we show that the results obtained from using the PMGE, demeaned PMG, AMG, MGE and DFE models indicate a long-run equilibrium relationship between electricity consumption and economic growth. In order to determine the appropriate model and decide the preferred estimator, the Hausman test was performed. The PMGE model emerged as the most efficient of the three estimators. Also, the results obtained revealed a bi-directional causality between economic growth and electricity consumption in these countries, which supports the feedback hypothesis. As a result, this implies that if these countries adopt or implement any energy or electricity conservation policies, this may have a negative impact on its economic growth. - Highlights: • The relationship between electricity consumption and GDP is explored. • Panel data econometric analysis is used to obtain the results. • Bidirectional causality between these variables is observed. • The results support the feedback hypothesis in the GCC countries.

Energy Efficiency Comparison between Hydraulic Hybrid and Hybrid Electric Vehicles

Directory of Open Access Journals (Sweden)

Jia-Shiun Chen

2015-05-01

Full Text Available Conventional vehicles tend to consume considerable amounts of fuel, which generates exhaust gases and environmental pollution during intermittent driving cycles. Therefore, prospective vehicle designs favor improved exhaust emissions and energy consumption without compromising vehicle performance. Although pure electric vehicles feature high performance and low pollution characteristics, their limitations are their short driving range and high battery costs. Hybrid electric vehicles (HEVs are comparatively environmentally friendly and energy efficient, but cost substantially more compared with conventional vehicles. Hydraulic hybrid vehicles (HHVs are mainly operated using engines, or using alternate combinations of engine and hydraulic power sources while vehicles accelerate. When the hydraulic system accumulator is depleted, the conventional engine reengages; concurrently, brake-regenerated power is recycled and reused by employing hydraulic motor–pump modules in circulation patterns to conserve fuel and recycle brake energy. This study adopted MATLAB Simulink to construct complete HHV and HEV models for backward simulations. New European Driving Cycles were used to determine the changes in fuel economy. The output of power components and the state-of-charge of energy could be retrieved. Varying power component models, energy storage component models, and series or parallel configurations were combined into seven different vehicle configurations: the conventional manual transmission vehicle, series hybrid electric vehicle, series hydraulic hybrid vehicle, parallel hybrid electric vehicle, parallel hydraulic hybrid vehicle, purely electric vehicle, and hydraulic-electric hybrid vehicle. The simulation results show that fuel consumption was 21.80% lower in the series hydraulic hybrid vehicle compared to the series hybrid electric vehicle; additionally, fuel consumption was 3.80% lower in the parallel hybrid electric vehicle compared to the

Assessment of end-use electricity consumption and peak demand by Townsville's housing stock

International Nuclear Information System (INIS)

Ren, Zhengen; Paevere, Phillip; Grozev, George; Egan, Stephen; Anticev, Julia

2013-01-01

We have developed a comprehensive model to estimate annual end-use electricity consumption and peak demand of housing stock, considering occupants' use of air conditioning systems and major appliances. The model was applied to analyse private dwellings in Townsville, Australia's largest tropical city. For the financial year (FY) 2010–11 the predicted results agreed with the actual electricity consumption with an error less than 10% for cooling thermostat settings at the standard setting temperature of 26.5 °C and at 1.0 °C higher than the standard setting. The greatest difference in monthly electricity consumption in the summer season between the model and the actual data decreased from 21% to 2% when the thermostat setting was changed from 26.5 °C to 27.5 °C. Our findings also showed that installation of solar panels in Townville houses could reduce electricity demand from the grid and would have a minor impact on the yearly peak demand. A key new feature of the model is that it can be used to predict probability distribution of energy demand considering (a) that appliances may be used randomly and (b) the way people use thermostats. The peak demand for the FY estimated from the probability distribution tracked the actual peak demand at 97% confidence level. - Highlights: • We developed a model to estimate housing stock energy consumption and peak demand. • Appliances used randomly and thermostat settings for space cooling were considered. • On-site installation of solar panels was also considered. • Its' results agree well with the actual electricity consumption and peak demand. • It shows the model could provide the probability distribution of electricity demand

North-south polarization of European electricity consumption under future warming.

Science.gov (United States)

Wenz, Leonie; Levermann, Anders; Auffhammer, Maximilian

2017-09-19

There is growing empirical evidence that anthropogenic climate change will substantially affect the electric sector. Impacts will stem both from the supply side-through the mitigation of greenhouse gases-and from the demand side-through adaptive responses to a changing environment. Here we provide evidence of a polarization of both peak load and overall electricity consumption under future warming for the world's third-largest electricity market-the 35 countries of Europe. We statistically estimate country-level dose-response functions between daily peak/total electricity load and ambient temperature for the period 2006-2012. After removing the impact of nontemperature confounders and normalizing the residual load data for each country, we estimate a common dose-response function, which we use to compute national electricity loads for temperatures that lie outside each country's currently observed temperature range. To this end, we impose end-of-century climate on today's European economies following three different greenhouse-gas concentration trajectories, ranging from ambitious climate-change mitigation-in line with the Paris agreement-to unabated climate change. We find significant increases in average daily peak load and overall electricity consumption in southern and western Europe (∼3 to ∼7% for Portugal and Spain) and significant decreases in northern Europe (∼-6 to ∼-2% for Sweden and Norway). While the projected effect on European total consumption is nearly zero, the significant polarization and seasonal shifts in peak demand and consumption have important ramifications for the location of costly peak-generating capacity, transmission infrastructure, and the design of energy-efficiency policy and storage capacity.

Household Energy Consumption Behaviour for Different Demographic Regions in Thailand from 2000 to 2010

OpenAIRE

Tharinya Supasa; Shu-San Hsiau; Shih-Mo Lin; Wongkot Wongsapai; Jiunn-Chi Wu

2017-01-01

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 approximatel...

Design and Validation of Real-Time Optimal Control with ECMS to Minimize Energy Consumption for Parallel Hybrid Electric Vehicles

Directory of Open Access Journals (Sweden)

Aiyun Gao

2017-01-01

Full Text Available A real-time optimal control of parallel hybrid electric vehicles (PHEVs with the equivalent consumption minimization strategy (ECMS is presented in this paper, whose purpose is to achieve the total equivalent fuel consumption minimization and to maintain the battery state of charge (SOC within its operation range at all times simultaneously. Vehicle and assembly models of PHEVs are established, which provide the foundation for the following calculations. The ECMS is described in detail, in which an instantaneous cost function including the fuel energy and the electrical energy is proposed, whose emphasis is the computation of the equivalent factor. The real-time optimal control strategy is designed through regarding the minimum of the total equivalent fuel consumption as the control objective and the torque split factor as the control variable. The validation of the control strategy proposed is demonstrated both in the MATLAB/Simulink/Advisor environment and under actual transportation conditions by comparing the fuel economy, the charge sustainability, and parts performance with other three control strategies under different driving cycles including standard, actual, and real-time road conditions. Through numerical simulations and real vehicle tests, the accuracy of the approach used for the evaluation of the equivalent factor is confirmed, and the potential of the proposed control strategy in terms of fuel economy and keeping the deviations of SOC at a low level is illustrated.

Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain

Energy Technology Data Exchange (ETDEWEB)

Bakhat, Mohcine, E-mail: mohcine_bakhat@yahoo.com; Rossello, Jaume

2011-05-15

Tourism has started to be acknowledged as a significant contributor to the increase in environmental externalities, especially to climate change. Various studies have started to estimate and compute the role of the different tourism sectors' contributions to greenhouse gas (GHG) emissions. These estimations have been made from a sectoral perspective, assessing the contribution of air transport, the accommodation sector, or other tourism-related economic sectors. However, in order to evaluate the impact of this sector on energy use the approaches used in the literature consider tourism in its disaggregated way. This paper assesses the electricity demand pattern and investigates the aggregated contribution of tourism to electricity consumption using the case study of the Balearic Islands (Spain). Using a conventional daily electricity demand model, including data for daily stocks of tourists the impact of the different population growth rate scenarios on electricity loads is also investigated. The results show that, in terms of electricity consumption, tourism cannot be considered a very energy-intensive sector.

Estimation of tourism-induced electricity consumption: The case study of Balearics Islands, Spain

International Nuclear Information System (INIS)

Bakhat, Mohcine; Rossello, Jaume

2011-01-01

Tourism has started to be acknowledged as a significant contributor to the increase in environmental externalities, especially to climate change. Various studies have started to estimate and compute the role of the different tourism sectors' contributions to greenhouse gas (GHG) emissions. These estimations have been made from a sectoral perspective, assessing the contribution of air transport, the accommodation sector, or other tourism-related economic sectors. However, in order to evaluate the impact of this sector on energy use the approaches used in the literature consider tourism in its disaggregated way. This paper assesses the electricity demand pattern and investigates the aggregated contribution of tourism to electricity consumption using the case study of the Balearic Islands (Spain). Using a conventional daily electricity demand model, including data for daily stocks of tourists the impact of the different population growth rate scenarios on electricity loads is also investigated. The results show that, in terms of electricity consumption, tourism cannot be considered a very energy-intensive sector.

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

Microscopic Driving Parameters-Based Energy-Saving Effect Analysis under Different Electric Vehicle Penetration

Directory of Open Access Journals (Sweden)

Enjian Yao

2013-01-01

Full Text Available Due to the rapid motorization over the recent years, China's transportation sector has been facing an increasing environmental pressure. Compared with gasoline vehicle (GV, electric vehicle (EV is expected to play an important role in the mitigation of CO2 and other pollution emissions, and urban air quality improvement, for its zero emission during use and higher energy efficiency. This paper aims to estimate the energy saving efficiency of EV, especially under different EV penetration and road traffic conditions. First, based on the emission and electricity consumption data collected by a light-duty EV and a light duty GV, a set of electricity consumption rate models and gasoline consumption rate models are established. Then, according to the conversion formula of coal equivalent, these models are transformed into coal equivalent consumption models, which make gasoline consumption and electricity consumption comparable. Finally, the relationship between the EV penetration and the reduction of energy consumption is explored based on the simulation undertaken on the North Second Ring Road in Beijing. The results show that the coal equivalent consumption will decrease by about 5% with the increases of EV penetration by 10% and the maximum energy-saving effect can be achieved when the traffic volume is about 4000 pcu/h.

Electrical Energy Overview February 2012

International Nuclear Information System (INIS)

2012-02-01

This publication presents the electricity characteristics and noteworthy developments in France every month: consumption, generation, renewable energies, cross-border trades and transmission system developments, along with feedback on the highlights affecting this data. This issue presents the key figures for February 2012

Electrical Energy Overview March 2012

International Nuclear Information System (INIS)

2012-03-01

This publication presents the electricity characteristics and noteworthy developments in France every month: consumption, generation, renewable energies, cross-border trades and transmission system developments, along with feedback on the highlights affecting this data. This issue presents the key figures for March 2012

Electrical Energy Overview January 2012

International Nuclear Information System (INIS)

2012-01-01

This publication presents the electricity characteristics and noteworthy developments in France every month: consumption, generation, renewable energies, cross-border trades and transmission system developments, along with feedback on the highlights affecting this data. This issue presents the key figures for January 2012

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...

Incorporating residual temperature and specific humidity in predicting weather-dependent warm-season electricity consumption

Science.gov (United States)

Guan, Huade; Beecham, Simon; Xu, Hanqiu; Ingleton, Greg

2017-02-01

Climate warming and increasing variability challenges the electricity supply in warm seasons. A good quantitative representation of the relationship between warm-season electricity consumption and weather condition provides necessary information for long-term electricity planning and short-term electricity management. In this study, an extended version of cooling degree days (ECDD) is proposed for better characterisation of this relationship. The ECDD includes temperature, residual temperature and specific humidity effects. The residual temperature is introduced for the first time to reflect the building thermal inertia effect on electricity consumption. The study is based on the electricity consumption data of four multiple-street city blocks and three office buildings. It is found that the residual temperature effect is about 20% of the current-day temperature effect at the block scale, and increases with a large variation at the building scale. Investigation of this residual temperature effect provides insight to the influence of building designs and structures on electricity consumption. The specific humidity effect appears to be more important at the building scale than at the block scale. A building with high energy performance does not necessarily have low specific humidity dependence. The new ECDD better reflects the weather dependence of electricity consumption than the conventional CDD method.

Rising electricity consumption: Driving forces and consequences. The case of rural Zanzibar

Energy Technology Data Exchange (ETDEWEB)

Winther, Tanja [Centre for Development and the Environment (SUM), Univ. of Oslo (Norway)

2007-07-01

The paper addresses the current, rising electricity consumption in the southern, rural locality of Zanzibar and seeks to account for the range of driving forces behind people's changed practices. The author argues that these forces are, on the one hand, determined by the availability of new technologies and through global and national institutions and influences such as Islam, commercials and changes in the governmental sector (health, education). On the other hand, the paper explores the way such influences interplay with the internal dynamics related to increasing consumption. Through an analysis of the particular character and dynamics of social and cultural life in this region, the author explains why some practices are less likely to change than other practices. For example, people in Zanzibar keep electricity (freezers and stoves) at a distance from their food. By contrast, electric light is perceived as intimately related to education, as illustrated when school children are sent to school for night classes before important exams. To which extent may general approaches to the study of energy consumption draw on this empirical case from Zanzibar? In other contexts, the patterns of people's electricity use certainly differ. In terms of sustainable energy policies, each locality has a particular set of challenges and goals, which to varying degree may be related to poverty reduction and concern for the environment. Methodologically, however, the author argues that the phenomenon of energy consumption may be studied and understood within the same framework of analysis; one that pays attention to both external and internal dynamics, the material and social aspects of technologies and the importance of power relations, gender and negotiations.

Examining the resilience of national energy systems: Measurements of diversity in production-based and consumption-based electricity in the globalization of trade networks

International Nuclear Information System (INIS)

Kharrazi, Ali; Sato, Masahiro; Yarime, Masaru; Nakayama, Hirofumi; Yu, Yadong; Kraines, Steven

2015-01-01

Energy is a critical component of achieving sustainable development. In addition to the three aspects of promoting access, renewables, and efficiency, the dimension of resilience in energy systems should also considered. The implementation of resilient energy systems requires a quantitative understanding of the socio-economic practices underlying such systems. Specifically, in line with the increasing globalization of trade, there remains a critical knowledge gap on the link between embodied energy in the production and consumption of traded goods. To bridge this knowledge gap, we investigate the resilience of global energy systems through an examination of a diversity measure of global embodied electricity trade based on multi-regional input-output (MRIO) networks. The significance of this research lies in its ability to utilize high resolution MRIO data sets in assessing the resilience of national energy systems. This research indicates that secure and responsible consumption requires the diversification of not only energy generation but also energy imports. This research will lay the ground for further research in the governance of resilience in global energy networks. - Highlights: • We examine the resilience of global embodied energy based on (MRIO) trade networks. • We propose a secure and responsible mode of thinking for national energy consumption. • Secure & responsible consumption requires diversity in energy generation and imports.

Challenges and prospects of electricity production from renewable energy sources in Slovenia

International Nuclear Information System (INIS)

Al-Mansour, Fouad; Sucic, Boris; Pusnik, Matevz

2014-01-01

Development of the utilisation of renewable energy sources and energy efficiency represents the main policy for sustainable development. The overall target of the European Union Directive on the promotion of the use of energy from renewables (RES) is to achieve at least a 20% share of energy from renewables in the gross final energy consumption in 2020. The mandatory national target for Slovenia is a 25% share of energy from RES in the gross final consumption. The share of RES in the gross final energy consumption in Slovenia was 18.8% in 2011 and the share of electricity production from RES was 30.8% in the gross electricity consumption. Electricity production from photovoltaics (PV) and biogas plants in agriculture has been growing fast after the adoption of the new supportive decree for electricity from RES in 2009. The very fast growth of PV plants has caused a problem for financing electricity from RES. Similar effects have been also recorded in the biogas sector, which represents a threat to food production. The state of the art, targets and challenges of electricity production from RES in Slovenia are described in the paper. - Highlights: • Slovenia's RES policy, regulatory frameworks and incentives are described. • The most important development challenges of the RES-E sector are discussed. • RES-E policy priorities need to be reassessed in view of recent global trends. • Responsible policy making and implementation follow-up are necessary

Self-consumption of electric power from photovoltaic origin. Ademe's advices

International Nuclear Information System (INIS)

2018-02-01

As electric power self-consumption progressively becomes economically attractive for individuals as well as for tertiary, industrial and agricultural sectors, this publication supports the development of self-consumption which displays actual benefits for consumers and for the collectivity as it notably contributes to the development of renewable energies and of roof-based photovoltaic energy production. This publication first outlines stakes and challenges (in terms of greenhouse gas emissions, energy dependence, impacts on air quality and on the environment), and then proposes an overview of possible options for a photovoltaic power production (to sell the whole production, or to partly or totally consume it). It indicates some data illustrating photovoltaic production, gives an overview of the situation regulatory knowledge regarding self-consumption, and of benefits of self-consumption in France

Electricity consumption and economic growth: a time series experience for 17 African countries

International Nuclear Information System (INIS)

Wolde-Rufael, Yemane

2006-01-01

While the availability of electricity by itself is not a panacea for the economic and social problems facing Africa, the supply of electricity is nevertheless believed to be a necessary requirement for Africa's economic and social development. This paper tests the long-run and causal relationship between electricity consumption per capita and real gross domestic product (GDP) per capita for 17 African countries for the period 1971-2001 using a newly developed cointegration test proposed by Pesaran et al. (2001) and using a modified version of the Granger causality test due to Toda and Yamamoto (1995). The advantage of using these two approaches is that they both avoid the pre-testing bias associated with conventional unit root and cointegration tests. The empirical evidence shows that there was a long-run relationship between electricity consumption per capita and real GDP per capita for only 9 countries and Granger causality for only 12 countries. For 6 countries there was a positive uni-directional causality running from real GDP per capita to electricity consumption per capita; an opposite causality for 3 countries and bi-directional causality for the remaining 3 countries. The result should, however, be interpreted with care as electricity consumption accounts for less than 4% of total energy consumption in Africa and only grid-supplied electricity is taken into account

Impact of Extended Daylight Saving Time on National Energy Consumption Report to Congress

Energy Technology Data Exchange (ETDEWEB)

Belzer, D. B.; Hadley, S. W.; Chin, S-M.

2008-10-01

The Energy Policy Act of 2005 (Pub. L. No. 109-58; EPAct 2005) amended the Uniform Time Act of 1966 (Pub. L. No. 89-387) to increase the portion of the year that is subject to Daylight Saving Time. (15 U.S.C. 260a note) EPAct 2005 extended the duration of Daylight Saving Time in the spring by changing its start date from the first Sunday in April to the second Sunday in March, and in the fall by changing its end date from the last Sunday in October to the first Sunday in November. (15 U.S.C. 260a note) EPAct 2005 also called for the Department of Energy to evaluate the impact of Extended Daylight Saving Time on energy consumption in the United States and to submit a report to Congress. (15 U.S.C. 260a note) This report presents the results of impacts of Extended Daylight Saving Time on the national energy consumption in the United States. The key findings are: (1) The total electricity savings of Extended Daylight Saving Time were about 1.3 Tera Watt-hour (TWh). This corresponds to 0.5 percent per each day of Extended Daylight Saving Time, or 0.03 percent of electricity consumption over the year. In reference, the total 2007 electricity consumption in the United States was 3,900 TWh. (2) In terms of national primary energy consumption, the electricity savings translate to a reduction of 17 Trillion Btu (TBtu) over the spring and fall Extended Daylight Saving Time periods, or roughly 0.02 percent of total U.S. energy consumption during 2007 of 101,000 TBtu. (3) During Extended Daylight Saving Time, electricity savings generally occurred over a three- to five-hour period in the evening with small increases in usage during the early-morning hours. On a daily percentage basis, electricity savings were slightly greater during the March (spring) extension of Extended Daylight Saving Time than the November (fall) extension. On a regional basis, some southern portions of the United States exhibited slightly smaller impacts of Extended Daylight Saving Time on energy savings

Understanding energy consumption behaviors in order to adapt demand response measures

Energy Technology Data Exchange (ETDEWEB)

Vassileva, Iana; Wallin, Fredrik; Dahlquist, Erik [Malardalen University (Sweden)], email: iana.vassileva@mdh.se, email: fredrik.wallin@mdh.se, email: erik.dahlquist@mdh.se

2011-07-01

When new price strategies and other demand-response measures are being established, it is important that amounts of electricity consumed and the potential for consumer participation be given serious consideration. It is important to encourage consumers to use less electricity if sustainable use of energy is to be achieved. Demand-response is a key component of the smart grids concept. So it is vital to get a comprehensive understanding of how different processes and factors influence the end use of energy. This paper presents an in-depth analysis of questionnaire responses from 2000 households in Vaxjo, Sweden. It sheds new light on the energy consumption behaviors of Swedish householders. Since 2008 Vaxjo householder customers have been able to check their own daily electricity consumption and get advice and tips, via a website provided by the local energy company, on how to lower the use of electricity. At the present time, of those responding to the questionnaire, this website is visited more frequently by people who live in houses than in apartments.

Climatic influence on electricity consumption: The case of Singapore and Hong Kong

International Nuclear Information System (INIS)

Ang, B.W.; Wang, H.; Ma, Xiaojing

2017-01-01

Global warming and the associated risks for natural and human systems have been major global concerns. The International Panel on Climate Change (IPCC) has projected average global surface temperature to increase by between 0.3 °C and 4.8 °C by the end of this century, depending on the greenhouse gas emission scenarios assessed. In the tropical and sub-tropical regions increases in temperature will lead to greater use of electricity for space cooling, a development that is undesirable from energy and sustainability viewpoints. We investigate how temperature increases affect electricity consumption in Singapore and Hong Kong. This is done by consuming sector, i.e. residential, commercial and industrial. Singapore and Hong Kong are respectively two tropical and subtropical cities with comparable physical, population and economy sizes. Two different approaches are used to relate their sectoral electricity consumption to temperature using regression analysis. It is estimated that total annual electricity consumption would increase by between 3% and 4% in Singapore in 2015 if there were to be a 1 °C rise in temperature. The corresponding estimates for Hong Kong are between 4% and 5%. In both cities, increases would be the greatest in the residential sector, followed by the commercial sector and the industrial sector. - Highlights: • Growth and changes in electricity consumption in Singapore and Hong Kong over the past 25 years are compared. • Relationships between electricity consumption and temperature by consuming sector are modelled. • Two statistical approaches are used to study the relationships. • Impacts of a 1 °C rise in temperature on sectoral and total electricity consumption are estimated.

Using smart meter to monitor the energy consumption of home appliances

International Nuclear Information System (INIS)

Dong, M.; Xu, W.

2010-01-01

A smart meter provides the foundation for the smart grid, which represent the future electric system in terms of communications, sensors and automation to improve the flexibility, reliability and efficiency of power systems. Smart meters are installed at the utility-customer interface point to provide real-time power usage and price data to each electricity user. The purpose is to create customer awareness on electricity consumption and help users to conserve energy. Smart meters are being deployed throughout North America to replace most traditional meters. However, this paper discussed a major technical gap of the smart meter. Existing smart meters do not provide households with enough feedback needed to achieve effective energy saving. In order to support the energy conservation effort of a customer, the whole house energy data must be displayed on minute or second basis, and it must also be broken down into individual appliance levels. The data of an appliance's energy usage is the most useful information for users to modify their actions and conserve energy. This paper proposed to make the smart meter capable of reporting the overall consumption of a household, as well as monitoring how individual appliances use electricity. It presented a method on using different appliance signatures to identify appliances and make energy estimations on their respective consumptions. Paired with time-of-use or other real time pricing mechanisms, the method enables customers to save energy. This paper also demonstrated how to implement an algorithm on the smart meter platform. Future work will focus on making the algorithm more accurate and faster, and on integrating the smart meter with an appliance energy monitoring system. 21 refs., 6 tabs., 3 figs.

Consumption of electric power for space heating of residential buildings and other premises

International Nuclear Information System (INIS)

Sandberg, E.; Westerlund, R.

1986-10-01

The analysis comprises power consumption to 1989 and to 1997 using different energy prices. The effects of oil prices on consumption has been calculated. The level of the consumption of electric power of the year 1989 is estimated to be 2-3 TWh higher than the level of 1997. This is because of not yet accomplished economizing measures and relatively new installations

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.

Analyzing Residential End-Use Energy Consumption Data to Inform Residential Consumer Decisions and Enable Energy Efficiency Improvements

Science.gov (United States)

Carlson, Derrick R.

While renewable energy is in the process of maturing, energy efficiency improvements may provide an opportunity to reduce energy consumption and consequent greenhouse gas emissions to bridge the gap between current emissions and the reductions necessary to prevent serious effects of climate change and will continue to be an integral part of greenhouse gas emissions policy moving forward. Residential energy is a largely untapped source of energy reductions as consumers, who wish to reduce energy consumption for monetary, environmental, and other reasons, face barriers. One such barrier is a lack of knowledge or understanding of how energy is consumed in a home and how to reduce this consumption effectively through behavioral and technological changes. One way to improve understanding of residential energy consumption is through the creation of a model to predict which appliances and electronics will be present and significantly contribute to the electricity consumption of a home on the basis of various characteristics of that home. The basis of this model is publically available survey data from the Residential Energy Consumption Survey (RECS). By predicting how households are likely to consume energy, homeowners, policy makers, and other stakeholders have access to valuable data that enables reductions in energy consumption in the residential sector. This model can be used to select homes that may be ripe for energy reductions and to predict the appliances that are the basis of these potential reductions. This work suggests that most homes in the U.S. have about eight appliances that are responsible for about 80% of the electricity consumption in that home. Characteristics such as census region, floor space, income, and total electricity consumption affect which appliances are likely to be in a home, however the number of appliances is generally around 8. Generally it takes around 4 appliances to reach the 50% threshold and 12 appliances to reach 90% of electricity

Estimation of demand response to energy price signals in energy consumption behaviour in Beijing, China

International Nuclear Information System (INIS)

He, Y.X.; Liu, Y.Y.; Xia, T.; Zhou, B.

2014-01-01

Highlights: • Demand response to energy price signals in energy consumption in Beijing is studied. • The electricity price is of great importance to Beijing’s energy market stability. • Industrial sectors have a large electricity self-elasticity and cross-elasticity. • When consuming electricity, customers pay more attention to natural gas price. • Analysis of demand response to energy price can provide guidance to energy policies. - Abstract: The energy price system in Beijing has not fully exploited customers’ price elasticity, and has a negative impact on achieving the goals of energy saving. This paper analyses the response behaviours of different customers to typical energy prices. As for electricity self-elasticity, the range of the primary, secondary, tertiary industry and residents are −0.026 to −0.033, −0.045 to −0.059, −0.035 to −0.047 and −0.024 to −0.032, respectively. As regards self-elasticity on coal, the range of the primary, secondary, tertiary industry and residents are −0.030 to −0.037, −0.066 to −0.093, −0.055 to −0.072 and −0.034 to −0.051, respectively. The self-elasticities on oil and natural gas are very weak. As for cross-elasticity, when consuming electricity and oil, customers mainly focus on the prices of natural gas, which are 0.185 and 0.112. When consuming coal and natural gas, customers are concerned about the electricity prices, and their cross-elasticities are 0.03 and 0.36, respectively. The estimation of demand response to energy price signals in energy consumption behaviours can provide a decision support for formulating rational energy price policies

An Energy Consumption Study for a Malaysian University

OpenAIRE

Fu E. Tang

2012-01-01

The increase in energy demand has raised concerns over adverse impacts on the environment from energy generation. It is important to understand the status of energy consumption for institutions such as Curtin Sarawak to ensure the sustainability of energy usage, and also to reduce its costs. In this study, a preliminary audit framework was developed and was conducted around the Malaysian campus to obtain information such as the number and specifications of electrical appl...

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)