Estimating the rebound effect in US manufacturing energy consumption

International Nuclear Information System (INIS)

Bentzen, Jan

2004-01-01

The energy price shocks of the 1970s are usually assumed to have increased the search for new energy saving technologies where eventual gains in energy efficiencies will reduce the real per unit price of energy services and hence, the consumption of energy will rise and partially offset the initial reduction in the usage of energy sources. This is the 'rebound effect', which is estimated for the US manufacturing sector using time series data applying the dynamic OLS method (DOLS). When allowing for asymmetric price effects the rebound effect is found to be approximately 24% for the US manufacturing sector

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.

Estimation of Energy Consumption and Greenhouse Gas Emissions of Transportation in Beef Cattle Production

Directory of Open Access Journals (Sweden)

Narayanan Kannan

2016-11-01

Full Text Available Accounting for transportation is an important part of the life cycle analysis (LCA of beef cattle production because it is associated with energy consumption and greenhouse gas emissions. This paper describes the development and application of a model that estimates energy consumption and greenhouse gas emissions of transport in beef cattle production. The animal transport model is based on the weight and number of animals in each weight category, type of trailer, vehicle, and fuel used. The energy consumption and greenhouse gas emission estimates of animal feed transportation are based on the weight of a truckload and the number of truckloads of feed transported. Our results indicate that a truckload is travelling approximately 326 km in connection with beef cattle production in the study region. The fuel consumption amounts to 24 L of fossil fuel per 1000 kg of boneless beef. The corresponding greenhouse gas emission is 83 kg. It appears from our results that the majority of energy consumption and greenhouse gas emissions are associated with sending the finished cattle to slaughterhouses and bringing feeder cattle to feedlots. Our results point out appreciable reductions in energy consumption and greenhouse gas emissions by changing from conventional fuel to bio-fuel.

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

Manufacturing consumption of energy 1991

Energy Technology Data Exchange (ETDEWEB)

1994-12-01

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

Estimates of US biofuels consumption, 1990

International Nuclear Information System (INIS)

1991-10-01

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs

Estimates of US biofuels consumption, 1990

Energy Technology Data Exchange (ETDEWEB)

1991-10-01

This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

Urban energy consumption and related carbon emission estimation: a study at the sector scale

Science.gov (United States)

Lu, Weiwei; Chen, Chen; Su, Meirong; Chen, Bin; Cai, Yanpeng; Xing, Tao

2013-12-01

With rapid economic development and energy consumption growth, China has become the largest energy consumer in the world. Impelled by extensive international concern, there is an urgent need to analyze the characteristics of energy consumption and related carbon emission, with the objective of saving energy, reducing carbon emission, and lessening environmental impact. Focusing on urban ecosystems, the biggest energy consumer, a method for estimating energy consumption and related carbon emission was established at the urban sector scale in this paper. Based on data for 1996-2010, the proposed method was applied to Beijing in a case study to analyze the consumption of different energy resources (i.e., coal, oil, gas, and electricity) and related carbon emission in different sectors (i.e., agriculture, industry, construction, transportation, household, and service sectors). The results showed that coal and oil contributed most to energy consumption and carbon emission among different energy resources during the study period, while the industrial sector consumed the most energy and emitted the most carbon among different sectors. Suggestions were put forward for energy conservation and emission reduction in Beijing. The analysis of energy consumption and related carbon emission at the sector scale is helpful for practical energy saving and emission reduction in urban ecosystems.

A model for the estimation of energy consumption and air pollutant emissions from rail transport

DEFF Research Database (Denmark)

Lindgreen, Erik Bjørn Grønning; Sorenson, Spencer C

2003-01-01

A model is presented for the calculation of energy consumption and air pollutant emissions from rail transport. It is based on the estimation of energy consumption from a matirx describing the distribution of speeds and accelerations for operation. It is shown that calculations can be performed...

Building environment assessment and energy consumption estimation using smart phones

Science.gov (United States)

Li, Xiangli; Zhang, Li; Jia, Yingqi; Wang, Zihan; Jin, Xin; Zhao, Xuefeng

2017-04-01

In this paper, an APP for building indoor environment evaluation and energy consumption estimation based on Android platform is proposed and established. While using the APP, the smart phone built-in sensors are called for real-time monitoring of the building environmental information such as temperature, humidity and noise, etc. the built-in algorithm is developed to calculate the heat and power consumption, and questionnaires, grading and other methods are used to feed back to the space heating system. In addition, with the application of the technology of big data and cloud technology, the data collected by users will be uploaded to the cloud. After the statistics of the uploaded data, regional difference can be obtained, thus providing a more accurate basis for macro-control and research of energy, thermal comfort, greenhouse effect.

Energy consumption estimation for greenhouse gas separation processes by clathrate hydrate formation

International Nuclear Information System (INIS)

Tajima, Hideo; Yamasaki, Akihiro; Kiyono, Fumio

2004-01-01

The process energy consumption was estimated for gas separation processes by the formation of clathrate hydrates. The separation process is based on the equilibrium partition of the components between the gaseous phase and the hydrate phase. The separation and capturing processes of greenhouse gases were examined in this study. The target components were hydrofluorocarbon (HFC-134a) from air, sulfur hexafluoride (SF 6 ) from nitrogen, and CO 2 from flue gas. Since these greenhouse gases would form hydrates under much lower pressure and higher temperature conditions than the accompanying components, the effective capturing of the greenhouse gases could be achieved by using hydrate formation. A model separation process for each gaseous mixture was designed from the basis of thermodynamics, and the process energy consumption was estimated. The obtained results were then compared with those for conventional separation processes such as liquefaction separation processes. For the recovery of SF 6 , the hydrate process is preferable to liquefaction process in terms of energy consumption. On the other hand, the liquefaction process consumes less energy than the hydrate process for the recovery of HFC-134a. The capturing of CO 2 by the hydrate process from a flue gas will consume a considerable amount of energy; mainly due to the extremely high pressure conditions required for hydrate formation. The influences of the operation conditions on the heat of hydrate formation were elucidated by sensitivity analysis. The hydrate processes for separating these greenhouse gases were evaluated in terms of reduction of global warming potential (GWP)

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

Science.gov (United States)

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

2015-12-01

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

Renewable energy consumption and income in emerging economies

International Nuclear Information System (INIS)

Sadorsky, Perry

2009-01-01

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

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.

The nexus between energy consumption and financial development: estimating the role of globalization in Next-11 countries.

Science.gov (United States)

Danish; Saud, Shah; Baloch, Muhammad Awais; Lodhi, Rab Nawaz

2018-04-28

In the modern era of globalization, the economic activities expand with the passage of time. This expansion may increase demand for energy both in developing and developed countries. Therefore, this study assesses the impact of financial development on energy consumption incorporating the role of globalization in Next-11 countries. A group of panel estimation techniques is used to analyze the panel data and time series data for the time 1990-2014. The empirical results of the study suggest that financial development stimulates energy consumption. Also, globalization increases demand for energy consumption, although the single country analysis suggests that the effect of globalization on energy demand is heterogeneous among N-11 countries. Furthermore, feedback hypothesis is confirmed between financial development and energy consumption. Also, bidirectional causality is found between economic growth and energy consumption. The findings urge for the attention of policymaker in emerging countries to develop a strategy to reduce the consequences of energy consumption by controlling resource transfer through globalization to the host country and by adopting energy conversation policies.

Energy consumption: energy consumption in mainland Norway

Energy Technology Data Exchange (ETDEWEB)

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

2012-07-25

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

Trade and energy consumption in the Middle East

International Nuclear Information System (INIS)

Sadorsky, Perry

2011-01-01

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

Energy consumption trends in Lithuania

International Nuclear Information System (INIS)

Galinis, A.; Miskinis, V.

2000-01-01

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

Estimating Vehicle Fuel Consumption and Emissions Using GPS Big Data

Directory of Open Access Journals (Sweden)

Zihan Kan

2018-03-01

Full Text Available The energy consumption and emissions from vehicles adversely affect human health and urban sustainability. Analysis of GPS big data collected from vehicles can provide useful insights about the quantity and distribution of such energy consumption and emissions. Previous studies, which estimated fuel consumption/emissions from traffic based on GPS sampled data, have not sufficiently considered vehicle activities and may have led to erroneous estimations. By adopting the analytical construct of the space-time path in time geography, this study proposes methods that more accurately estimate and visualize vehicle energy consumption/emissions based on analysis of vehicles’ mobile activities (MA and stationary activities (SA. First, we build space-time paths of individual vehicles, extract moving parameters, and identify MA and SA from each space-time path segment (STPS. Then we present an N-Dimensional framework for estimating and visualizing fuel consumption/emissions. For each STPS, fuel consumption, hot emissions, and cold start emissions are estimated based on activity type, i.e., MA, SA with engine-on and SA with engine-off. In the case study, fuel consumption and emissions of a single vehicle and a road network are estimated and visualized with GPS data. The estimation accuracy of the proposed approach is 88.6%. We also analyze the types of activities that produced fuel consumption on each road segment to explore the patterns and mechanisms of fuel consumption in the study area. The results not only show the effectiveness of the proposed approaches in estimating fuel consumption/emissions but also indicate their advantages for uncovering the relationships between fuel consumption and vehicles’ activities in road networks.

Estimating Vehicle Fuel Consumption and Emissions Using GPS Big Data.

Science.gov (United States)

Kan, Zihan; Tang, Luliang; Kwan, Mei-Po; Zhang, Xia

2018-03-21

The energy consumption and emissions from vehicles adversely affect human health and urban sustainability. Analysis of GPS big data collected from vehicles can provide useful insights about the quantity and distribution of such energy consumption and emissions. Previous studies, which estimated fuel consumption/emissions from traffic based on GPS sampled data, have not sufficiently considered vehicle activities and may have led to erroneous estimations. By adopting the analytical construct of the space-time path in time geography, this study proposes methods that more accurately estimate and visualize vehicle energy consumption/emissions based on analysis of vehicles' mobile activities ( MA ) and stationary activities ( SA ). First, we build space-time paths of individual vehicles, extract moving parameters, and identify MA and SA from each space-time path segment (STPS). Then we present an N-Dimensional framework for estimating and visualizing fuel consumption/emissions. For each STPS, fuel consumption, hot emissions, and cold start emissions are estimated based on activity type, i.e., MA , SA with engine-on and SA with engine-off. In the case study, fuel consumption and emissions of a single vehicle and a road network are estimated and visualized with GPS data. The estimation accuracy of the proposed approach is 88.6%. We also analyze the types of activities that produced fuel consumption on each road segment to explore the patterns and mechanisms of fuel consumption in the study area. The results not only show the effectiveness of the proposed approaches in estimating fuel consumption/emissions but also indicate their advantages for uncovering the relationships between fuel consumption and vehicles' activities in road networks.

Measures to reduce car-fleet consumption - Estimation of effects

International Nuclear Information System (INIS)

Iten, R.; Hammer, S.; Keller, M.; Schmidt, N.; Sammer, K.; Wuestenhagen, R.

2005-09-01

This comprehensive report for the Swiss Federal Office of Energy (SFOE) takes a look at the results of a study that estimated the effects of measures that were to be taken in order to reduce the fuel consumption of fleets of vehicles as part of the SwissEnergy programme. The research reported on aimed to estimate the effects of the Energy Label on energy consumption and research concerning the results to be expected from the introduction of a bonus-malus system. Questions reviewed include the effect of fuel consumption data on making decisions concerning which vehicle to purchase, the effects of the Energy Label on consumption, the awareness of other appropriate information sources, the possible effects of a bonus-malus system and how the effectiveness of the Energy Label could be improved. The answers and results obtained are reviewed and commented on. Finally, an overall appraisal of the situation is presented and recommendations for increasing the effectiveness of the Energy Label are made

Estimating road transport fuel consumption in Ecuador

International Nuclear Information System (INIS)

Sierra, Jaime Cevallos

2016-01-01

Road transport is one of the sectors with highest energy consumptions in the planet, with large dependence of fossil fuels, and contribution for global greenhouse gas emissions. Although, Latin America is not a high-energy consumer, its share in global consumption is expected to grow, especially in the transportation sector. This make essential for developing countries the adoption of better policies to identify the vehicle groups with largest fuel demands. The present study describes the VKT technique to disaggregate road transport energy consumption by vehicle type, applied to the road transportation system of Ecuador. It also describes the procedures performed to estimate the variables required to run the model, and some of the practical applications that be used to create public policies. Results show as the biggest fuel consumers the heavy-duty freight cargo, followed by light duty vehicles. The estimation of greenhouse gas emissions evidence that road transport released 14.3 million tons of CO_2 in 2012. When fuel consumption is compared by it costs, it can be confirmed that Ecuadorean Government covered, through subsidies, for 68% of the annual fuel costs of national road transport, demonstrating the importance of restructuring these expenditures in order to achieve an efficient road transport system. - Highlights: •The vehicle-kilometers traveled has been estimated from local info. •The fuel economy has been calculated from national and international data. •The groups with higher fuel consumption has been located. •The fuel-type dependency has been estimated for each vehicle group. •Greenhouse gas emission, and fuel costs, has been estimated for local road transport.

Environmental degradation, energy consumption, population growth ...

African Journals Online (AJOL)

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

Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates

Energy Technology Data Exchange (ETDEWEB)

Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

2012-12-01

The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

Energy consumption for different greenhouse constructions

Energy Technology Data Exchange (ETDEWEB)

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

2009-09-15

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

Energy catastrophes and energy consumption

International Nuclear Information System (INIS)

Davis, G.

1991-01-01

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

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

Energy consumption of the households 1960-1996

International Nuclear Information System (INIS)

Bentzen, J.; Engsted, T.

1999-01-01

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

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

Interactive energy consumption visualization

CSIR Research Space (South Africa)

Lunga, D

2014-11-01

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

Uncertainty analysis of energy consumption in dwellings

Energy Technology Data Exchange (ETDEWEB)

Pettersen, Trine Dyrstad

1997-12-31

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

Price sensitivity of residential energy consumption in Norway

International Nuclear Information System (INIS)

Nesbakken, R.

1999-01-01

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

Energy drink consumption and marketing in South Africa.

Science.gov (United States)

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

2017-12-01

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

Proper Estimation of the Energy Consumption in A Carbon Dioxide-MEA Stripper

DEFF Research Database (Denmark)

Madeddu, Claudio; Errico, Massimiliano; Baratti, Roberto

In the field of CCS, the chemical absorption/desorption using amines represents one of the most easily implemented process for the reduction of the carbon dioxide generated by combustion plants. The high energy consumption in the solvent regeneration section represents the major concern for its...... fully industrial application. In the design of a carbon dioxide-MEA stripper, once the process targets are fixed, the estimation of the reboiler duty represents a crucial point for what concerns the quantification of the energy requirement. Furthermore, the vapor flow produced in the reboiler influences...... in simultaneous multicomponent material transfer, energy transfer and chemical reactions, is fundamental for an accurate design of the system. In this work the solvent regeneration section of a pilot-plant post-combustion CO2 capture facility was modeled using a rate-based approach, focusing on some key...

Divisia amount and price index for energy consumption

International Nuclear Information System (INIS)

Bentzen, J.

1993-01-01

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

Electrical appliance energy consumption control methods and electrical energy consumption systems

Science.gov (United States)

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

2006-03-07

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

Electrical appliance energy consumption control methods and electrical energy consumption systems

Science.gov (United States)

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

2008-09-02

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

Energy consumption characteristics of Guatemalan households

International Nuclear Information System (INIS)

Mansilla, C.; Moscoso, M.R.

1991-01-01

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

Specific energy consumption in microwave drying of garlic cloves

Energy Technology Data Exchange (ETDEWEB)

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

2006-09-15

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

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.

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

Directory of Open Access Journals (Sweden)

Mohd Hafizal Ishak

2016-11-01

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

Cost and energy consumption estimates for the aluminum-air battery anode fuel cycle

Science.gov (United States)

1990-01-01

At the request of DOE's Office of Energy Storage and Distribution (OESD), Pacific Northwest Laboratory (PNL) conducted a study to generate estimates of the energy use and costs associated with the aluminum anode fuel cycle of the aluminum-air (Al-air) battery. The results of this analysis indicate that the cost and energy consumption characteristics of the mechanically rechargeable Al-air battery system are not as attractive as some other electrically rechargeable electric vehicle battery systems being developed by OESD. However, there are distinct advantages to mechanically rechargeable batteries, which may make the Al-air battery (or other mechanically rechargeable batteries) attractive for other uses, such as stand-alone applications. Fuel cells, such as the proton exchange membrane (PEM), and advanced secondary batteries may be better suited to electric vehicle applications.

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)

The effects of temporal perspective on college students' energy drink consumption.

Science.gov (United States)

Kim, Jarim; Anagondahalli, Deepa

2017-09-01

Consideration of future consequences (CFC) describes the extent to which individuals consider potential future outcomes of their present behaviors. This personality trait has been found to predict repetitive health behaviors. Research is yet to explore the role of health beliefs, which may mediate the relationship between CFC and self-directed health behaviors. Thus, this study examined how CFC affects energy drink-related health beliefs and consumption behavior. A cross-sectional correlational online survey with 1,050 college students was conducted. Key measures include the CFC Scale, health belief measures, and current energy drink consumption pattern. CFC was associated with energy drink consumption as well as several health beliefs. CFC had indirect effects on energy drink consumption through health beliefs, including perceived severity of consuming energy drinks (indirect effect estimate = -.191, 95% confidence interval [CI] [-.271, -.122]), perceived benefits of avoiding energy drinks (indirect effect estimate = -.108, 95% CI [-.174, -.050]), and perceived barriers in abstaining from energy drinks (energy level-related barriers, indirect effect estimate = -.274, 95% CI [-.387, -.181]; and socialization-related barriers, indirect effect estimate = .152, 95% CI [.078, .249]). As the first study to examine CFC's indirect effects on a self-directed health behavior through health beliefs, this study extended CFC's applicability by examining its role in the context of college students' energy drink consumption. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Estimating emissions on vehicular traffic based on projected energy and transport demand on rural roads: Policies for reducing air pollutant emissions and energy consumption

International Nuclear Information System (INIS)

Ozan, Cenk; Haldenbilen, Soner; Ceylan, Halim

2011-01-01

This study deals with the estimation of emissions caused by vehicular traffic based on transport demand and energy consumption. Projected transport demand is calculated with Genetic Algorithm (GA) using population, gross domestic product per capita (GDPPC) and the number of vehicles. The energy consumption is modelled with the GA using the veh-km. The model age of the vehicles and their corresponding share for each year using the reference years is obtained. The pollutant emissions are calculated with estimated transport and energy demand. All the calculations are made in line to meet the European standards. For this purpose, two cases are composed. Case 1: Emissions based on energy consumption, and Case 2: Emissions based on transport demand. The both cases are compared. Three policies are proposed to control demand and the emissions. The policies provided the best results in terms of minimum emissions and the reasonable share of highway and railway mode as 70% and 30% usage for policy I, respectively. The emission calculation procedure presented in this study would provide an alternative way to make policies when there is no adequate data on emission measurement in developing countries. - Research highlights: → Emissions caused by vehicular traffic are modelled. → The pollutant emissions are calculated with estimated transport and energy demand. → All the calculations are made in line with to meet the European standards. → The calculation procedure will provide an alternative way to make policies. → The procedure will help planners to convince politicians to impose policies.

Oil pipeline energy consumption and efficiency

Energy Technology Data Exchange (ETDEWEB)

Hooker, J.N.

1981-01-01

This report describes an investigation of energy consumption and efficiency of oil pipelines in the US in 1978. It is based on a simulation of the actual movement of oil on a very detailed representation of the pipeline network, and it uses engineering equations to calculate the energy that pipeline pumps must have exerted on the oil to move it in this manner. The efficiencies of pumps and drivers are estimated so as to arrive at the amount of energy consumed at pumping stations. The throughput in each pipeline segment is estimated by distributing each pipeline company's reported oil movements over its segments in proportions predicted by regression equations that show typical throughput and throughput capacity as functions of pipe diameter. The form of the equations is justified by a generalized cost-engineering study of pipelining, and their parameters are estimated using new techniques developed for the purpose. A simplified model of flow scheduling is chosen on the basis of actual energy use data obtained from a few companies. The study yields energy consumption and intensiveness estimates for crude oil trunk lines, crude oil gathering lines and oil products lines, for the nation as well as by state and by pipe diameter. It characterizes the efficiency of typical pipelines of various diameters operating at capacity. Ancillary results include estimates of oil movements by state and by diameter and approximate pipeline capacity utilization nationwide.

ENERGY CONSUMPTION AND REAL GDP IN IRAN

Directory of Open Access Journals (Sweden)

Ali Akbar Naji Meidani

2014-01-01

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

Estimation of the energy needs

International Nuclear Information System (INIS)

Ailleret

1955-01-01

The present report draws up the balance on the present and estimable energy consumption for the next twenty years. The present energy comes mainly of the consumption of coal, oil products and essentially hydraulic electric energy. the market development comes essentially of the development the industrial activity and of new applications tributary of the cost and the distribution of the electric energy. To this effect, the atomic energy offers good industrial perspectives in complement of the energy present resources in order to answer the new needs. (M.B.) [fr

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.

An analysis of the influence of urban form on energy consumption by individual consumption behaviors from a microeconomic viewpoint

International Nuclear Information System (INIS)

Yin, Yanhong; Mizokami, Shoshi; Maruyama, Takuya

2013-01-01

Using 1997 personal trip survey (PTS) data in the Kumamoto metropolitan area, this paper examined the influence of urban form on energy consumption through an energy estimation model from a microeconomic perspective. As all goods and service are assumed to satisfy the need of people, we estimated the individual energy consumption based on the demand of goods, which is explained by a utility maximization problem constrained by income. 52.84 GJ of energy is estimated for one person one year in Kumamoto metropolitan area. 19.57% of energy is used for mobility goods. A spatial regression was performed to analyze the relationship between energy efficiency and urban form characteristics in terms of density, diversity, and accessibility. The results of regression analysis show that employment density, ratio of employee in retail department, transit fare, and distance to city center are the most influential factors of energy efficiency. Findings suggest compact development and integrated policies for increasing employment density, especially, employment proportion of local residents are suggested. Moreover, measures to improve the attractiveness of mass transit should be encouraged to increase energy efficiency in Kumamoto. - Highlights: • Energy consumption is estimated by demand of composite goods, mobility goods. • 52.84 GJ of energy is estimated to satisfy one person per year in Kumamoto. • 80% of energy is for composite goods and 20% for mobility goods. • Land use diversity and distance to city center, affect energy consumption most. • Employment density and transit fare are influential factors of energy efficiency

Model for Estimation of Fuel Consumption of Cruise Ships

Directory of Open Access Journals (Sweden)

Morten Simonsen

2018-04-01

Full Text Available This article presents a model to estimate the energy use and fuel consumption of cruise ships that sail Norwegian waters. Automatic identification system (AIS data and technical information about cruise ships provided input to the model, including service speed, total power, and number of engines. The model was tested against real-world data obtained from a small cruise vessel and both a medium and large cruise ship. It is sensitive to speed and the corresponding engine load profile of the ship. A crucial determinate for total fuel consumption is also associated with hotel functions, which can make a large contribution to the overall energy use of cruise ships. Real-world data fits the model best when ship speed is 70–75% of service speed. With decreased or increased speed, the model tends to diverge from real-world observations. The model gives a proxy for calculation of fuel consumption associated with cruise ships that sail to Norwegian waters and can be used to estimate greenhouse gas emissions and to evaluate energy reduction strategies for cruise ships.

Danish Sector Guide for Calculation of the Actual Energy Consumption

DEFF Research Database (Denmark)

Mortensen, Lone Hedegaard

2016-01-01

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

Analysis of a Residential Building Energy Consumption Demand Model

Directory of Open Access Journals (Sweden)

Meng Liu

2011-03-01

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

Habit formation and consumption of energy for heating

DEFF Research Database (Denmark)

Leth-Petersen, Søren

2007-01-01

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

Energy consumption and economic growth in New Zealand: Results of trivariate and multivariate models

International Nuclear Information System (INIS)

Bartleet, Matthew; Gounder, Rukmani

2010-01-01

This study examines the energy consumption-growth nexus in New Zealand. Causal linkages between energy and macroeconomic variables are investigated using trivariate demand-side and multivariate production models. Long run and short run relationships are estimated for the period 1960-2004. The estimated results of demand model reveal a long run relationship between energy consumption, real GDP and energy prices. The short run results indicate that real GDP Granger-causes energy consumption without feedback, consistent with the proposition that energy demand is a derived demand. Energy prices are found to be significant for energy consumption outcomes. Production model results indicate a long run relationship between real GDP, energy consumption and employment. The Granger-causality is found from real GDP to energy consumption, providing additional evidence to support the neoclassical proposition that energy consumption in New Zealand is fundamentally driven by economic activities. Inclusion of capital in the multivariate production model shows short run causality from capital to energy consumption. Also, changes in real GDP and employment have significant predictive power for changes in real capital.

Energy-Efficient Channel Estimation in MIMO Systems

Directory of Open Access Journals (Sweden)

2006-01-01

Full Text Available The emergence of MIMO communications systems as practical high-data-rate wireless communications systems has created several technical challenges to be met. On the one hand, there is potential for enhancing system performance in terms of capacity and diversity. On the other hand, the presence of multiple transceivers at both ends has created additional cost in terms of hardware and energy consumption. For coherent detection as well as to do optimization such as water filling and beamforming, it is essential that the MIMO channel is known. However, due to the presence of multiple transceivers at both the transmitter and receiver, the channel estimation problem is more complicated and costly compared to a SISO system. Several solutions have been proposed to minimize the computational cost, and hence the energy spent in channel estimation of MIMO systems. We present a novel method of minimizing the overall energy consumption. Unlike existing methods, we consider the energy spent during the channel estimation phase which includes transmission of training symbols, storage of those symbols at the receiver, and also channel estimation at the receiver. We develop a model that is independent of the hardware or software used for channel estimation, and use a divide-and-conquer strategy to minimize the overall energy consumption.

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

International Nuclear Information System (INIS)

Doytch, Nadia; Narayan, Seema

2016-01-01

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

Unrecorded Alcohol Consumption: Quantitative Methods of Estimation

OpenAIRE

Razvodovsky, Y. E.

2010-01-01

unrecorded alcohol; methods of estimation In this paper we focused on methods of estimation of unrecorded alcohol consumption level. Present methods of estimation of unrevorded alcohol consumption allow only approximate estimation of unrecorded alcohol consumption level. Tacking into consideration the extreme importance of such kind of data, further investigation is necessary to improve the reliability of methods estimation of unrecorded alcohol consumption.

Output, renewable energy consumption and trade in Africa

International Nuclear Information System (INIS)

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

2014-01-01

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

Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China

International Nuclear Information System (INIS)

Zhang Chuanguo; Lin Yan

2012-01-01

As urbanization accelerates, urban areas play a leading role in energy consumption and CO 2 emissions in China. The existing research is extensively concerned with the relationships between urbanization, energy consumption and CO 2 emissions in recent years, but little attention has been paid to the regional differences. This paper is an analysis of the impact of urbanization on energy consumption and CO 2 emissions at the national and regional levels using the STIRPAT model and provincial panel data from 1995 to 2010 in China. The results showed that urbanization increases energy consumption and CO 2 emissions in China. The effects of urbanization on energy consumption vary across regions and decline continuously from the western region to the central and eastern regions. The impact of urbanization on CO 2 emissions in the central region is greater than that in the eastern region. The impact of urbanization on energy consumption is greater than the impact on CO 2 emissions in the eastern region. And some evidences support the argument of compact city theory. These results not only contribute to advancing the existing literature, but also merit particular attention from policy makers and urban planners in China. - Highlights: ► We analyze the impact of urbanization on energy use and CO 2 emissions in China. ► Urbanization increases energy consumption and CO 2 emissions in China. ► The effects of urbanization on energy use and CO 2 emissions vary across regions.

Energy Consumption Database

Science.gov (United States)

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

Renewable energy consumption, CO2 emissions and oil prices in the G7 countries

International Nuclear Information System (INIS)

Sadorsky, Perry

2009-01-01

Economic and societal issues related to energy security and global warming is placing greater emphasis on the consumption of renewable energy. This paper presents and estimates an empirical model of renewable energy consumption for the G7 countries. Panel cointegration estimates show that in the long term, increases in real GDP per capita and CO 2 per capita are found to be major drivers behind per capita renewable energy consumption. These results are robust across two different panel cointegration estimators. Oil price increases have a smaller although negative impact on renewable energy consumption. Deviations from equilibrium are driven mostly by the error correction term as opposed to short term shocks. Short term deviations from the long term equilibrium take anywhere from between 1.3 years (France) and 7.3 years (Japan) to correct. (author)

Methods for estimating residential building energy consumption by application of artificial intelligence; Methode d'estimation energetique des batiments d'habitation basee sur l'application de l'intelligence artificielle

Energy Technology Data Exchange (ETDEWEB)

Kajl, S.; Roberge, M-A. [Quebec Univ., Ecole de technologie superieure, Montreal, PQ (Canada)

1999-02-01

A method for estimating energy requirements in buildings five to twenty-five stories in height using artificial intelligence techniques is proposed. In developing this technique, the pre-requisites specified were rapid execution, the ability to generate a wide range of results, including total energy consumption, power demands, heating and cooling consumption, and accuracy comparable to that of a detailed building energy simulation software. The method proposed encompasses (1) the creation of various databases such as classification of the parameters used in the energy simulation, modelling using the Department of Energy (DOE)-2 software and validation of the DOE-2 models; (2) application of the neural networks inclusive of teaching the neural network and validation of the neural network's learning; (3) designing an energy estimate assessment (EEA) system for residential buildings; and (4) validation of the EEA system. The system has been developed in the MATLAB software environment, specifically for the climate in the Ottawa region. For use under different climatic conditions appropriate adjustments need to be made for the heating and cooling consumption. 12 refs., tabs., figs., 2 appendices.

Estimating Energy Consumption of Mobile Fluid Power in the United States

Energy Technology Data Exchange (ETDEWEB)

Lynch, Lauren [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Zigler, Bradley T. [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

2017-11-02

This report estimates the market size and energy consumption of mobile off-road applications utilizing hydraulic fluid power, and summarizes technology gaps and implementation barriers. Mobile fluid power is the use of hydraulic fluids under pressure to transmit power in mobile equipment applications. The mobile off-road fluid power sector includes various uses of hydraulic fluid power equipment with fundamentally diverse end-use application and operational requirements, such as a skid steer loader, a wheel loader or an agriculture tractor. The agriculture and construction segments dominate the mobile off-road fluid power market in component unit sales volume. An estimated range of energy consumed by the mobile off-road fluid power sector is 0.36 - 1.8 quads per year, which was 1.3 percent - 6.5 percent of the total energy consumed in 2016 by the transportation sector. Opportunities for efficiency improvements within the fluid power system result from needs to level and reduce the peak system load requirements and develop new technologies to reduce fluid power system level losses, both of which may be facilitated by characterizing duty cycles to define standardized performance test methods. There are currently no commonly accepted standardized test methods for evaluating equipment level efficiency over a duty cycle. The off-road transportation sector currently meets criteria emissions requirements, and there are no efficiency regulations requiring original equipment manufacturers (OEM) to invest in new architecture development to improve the fuel economy of mobile off-road fluid power systems. In addition, the end-user efficiency interests are outweighed by low equipment purchase or lease price concerns, required payback periods, and reliability and durability requirements of new architecture. Current economics, low market volumes with high product diversity, and regulation compliance challenge OEM investment in commercialization of new architecture development.

Energy consumption and economic growth. Assessing the evidence from Greece

International Nuclear Information System (INIS)

Hondroyiannis, George; Lolos, Sarantis; Papapetrou, Evangelia

2002-01-01

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

Energy consumption modeling during dairy sewage pretreatment

Directory of Open Access Journals (Sweden)

Dąbrowski Wojciech

2017-01-01

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

Electrical energy consumption control apparatuses and electrical energy consumption control methods

Science.gov (United States)

Hammerstrom, Donald J.

2012-09-04

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

Energy consumption and economic growth in China: A multivariate causality test

International Nuclear Information System (INIS)

Wang Yuan; Wang Yichen; Zhou Jing; Zhu Xiaodong; Lu Genfa

2011-01-01

This study takes a fresh look at the direction of causality between energy consumption and economic growth in China during the period from 1972 to 2006, using a multivariate cointegration approach. Given the weakness associated with the bivariate causality framework, the current study performs a multivariate causality framework by incorporating capital and labor variables into the model between energy consumption and economic growth based on neo-classical aggregate production theory. Using the recently developed autoregressive distributed lag (ARDL) bounds testing approach, a long-run equilibrium cointegration relationship has been found to exist between economic growth and the explanatory variables: energy consumption, capital and employment. Empirical results reveal that the long-run parameter of energy consumption on economic growth in China is approximately 0.15, through a long-run static solution of the estimated ARDL model, and that for the short-run is approximately 0.12 by the error correction model. The study also indicates the existence of short-run and long-run causality running from energy consumption, capital and employment to economic growth. The estimation results imply that energy serves as an important source of economic growth, thus more vigorous energy use and economic development strategies should be adopted for China. - Highlights: → Cointegration is only present when real GDP is the dependent variable. →The long-run causality running from energy consumption to economic growth. →China is an energy dependent economy.

URBAN FEATURES AND ENERGY CONSUMPTION AT LOCAL LEVEL

Directory of Open Access Journals (Sweden)

Ali Soltani

2012-12-01

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

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

Improving energy consumption structure: A comprehensive assessment of fossil energy subsidies reform in China

International Nuclear Information System (INIS)

Liu Wei; Li Hong

2011-01-01

Fossil energy subsidies reform would be an effective way to improve the energy consumption structure; however, the reform needs to be assessed comprehensively beforehand as it would exert uncertain impacts on economy, society and environment. In this paper, we use price-gap approach to estimate the fossil energy subsidies of China, then establish CGE model that contains pollutant emissions accounts and CO 2 emissions account to stimulate the fossil energy subsidies reform under different scenarios, and the environmental economic analysis concept is introduced to monetize the pollutant reduction benefits. Furthermore, we analyze the possibility and scope of improving the energy consumption structure from the perspective of technical and economic analysis. Analytical results show that the energy consumption structure could be improved by different extent by removing coal or oil subsidies, while the economic and social indexes will be influenced distinctively. Meanwhile, the effects of cutting coal subsidies are more feasible than that of cutting oil subsidies overall. It is recommended to implement fossil energy subsidies gradually, cut the coal first and then cut oil subsidies successively. - Research highlights: → This paper estimates the scale of fossil energy subsidies of China in 2007 with price-gap approach. → We establish a Social Accounting Matrix and a CGE model extended with pollutant accounts. → We simulate the impacts of removing or cutting subsidies under three different scenarios. → We discuss the possibility and potential of improving energy consumption structure.

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

Estimating energy conservation potential in China's commercial sector

International Nuclear Information System (INIS)

Lin, Boqiang; Wang, Ailun

2015-01-01

With low energy intensity and great potential for growth, the commercial sector has become one of the key sectors for energy conservation and emission reduction in the context of China's rapid urbanization process. Based on the EIA (Energy Information Administration) statistical methods, this paper calculates the energy consumption of China's commercial sector from 1981 to 2012, specifies the determinants of commercial energy demand, forecasts future energy consumption and estimates the energy conservation potentials using the Johansen co-integration methodology. The results indicate: (i) GDP (Gross Domestic Product) and urbanization have positive effects on the energy consumption of the commercial sector while labor productivity and energy price contribute to reduction in the sector's energy consumption. (ii) Under the basic scenario, energy consumption of the commercial sector will be 317.34 and 469.84 Mtce (million tons of coal equivalent) in 2015 and 2020 respectively. (iii) Under the moderate and advanced scenario, about 187.00 and 531.45 Mtce respectively of the energy consumption of the commercial sector can be conserved from 2013 to 2020. The findings have important implications for policy-makers to enact energy-saving policies. - Highlights: • Calculation of China's commercial energy consumption and saving potential. • Co-integration model is applied to estimate commercial energy efficiency. • Decomposition of driving forces of energy consumption. • Future policies for commercial energy efficiency are discussed

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

International Nuclear Information System (INIS)

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

2013-01-01

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

Renewable energy consumption, CO{sub 2} emissions and oil prices in the G7 countries

Energy Technology Data Exchange (ETDEWEB)

Sadorsky, Perry [Schulich School of Business, York University, 4700 Keele Street, Toronto, Ontario (Canada)

2009-05-15

Economic and societal issues related to energy security and global warming is placing greater emphasis on the consumption of renewable energy. This paper presents and estimates an empirical model of renewable energy consumption for the G7 countries. Panel cointegration estimates show that in the long term, increases in real GDP per capita and CO{sub 2} per capita are found to be major drivers behind per capita renewable energy consumption. These results are robust across two different panel cointegration estimators. Oil price increases have a smaller although negative impact on renewable energy consumption. Deviations from equilibrium are driven mostly by the error correction term as opposed to short term shocks. Short term deviations from the long term equilibrium take anywhere from between 1.3 years (France) and 7.3 years (Japan) to correct. (author)

Fuel consumption from vehicles of China until 2030 in energy scenarios

International Nuclear Information System (INIS)

Zhang Qingyu; Tian Weili; Zheng Yingyue; Zhang Lili

2010-01-01

Estimation of fuel (gasoline and diesel) consumption for vehicles in China under different long-term energy policy scenarios is presented here. The fuel economy of different vehicle types is subject to variation of government regulations; hence the fuel consumption of passenger cars (PCs), light trucks (Lts), heavy trucks (Hts), buses and motor cycles (MCs) are calculated with respect to (i) the number of vehicles, (ii) distance traveled, and (iii) fuel economy. On the other hand, the consumption rate of alternative energy sources (i.e. ethanol, methanol, biomass-diesel and CNG) is not evaluated here. The number of vehicles is evaluated using the economic elastic coefficient method, relating to per capita gross domestic product (GDP) from 1997 to 2007. The Long-range Energy Alternatives Planning (LEAP) system software is employed to develop a simple model to project fuel consumption in China until 2030 under these scenarios. Three energy consumption decrease scenarios are designed to estimate the reduction of fuel consumption: (i) 'business as usual' (BAU); (ii) 'advanced fuel economy' (AFE); and (iii) 'alternative energy replacement' (AER). It is shown that fuel consumption is predicted to reach 992.28 Mtoe (million tons oil equivalent) with the BAU scenario by 2030. In the AFE and AER scenarios, fuel consumption is predicted to be 734.68 and 600.36 Mtoe, respectively, by 2030. In the AER scenario, fuel consumption in 2030 will be reduced by 391.92 (39.50%) and 134.29 (18.28%) Mtoe in comparison to the BAU and AFE scenarios, respectively. In conclusion, our models indicate that the energy conservation policies introduced by governmental institutions are potentially viable, as long as they are effectively implemented.

Some Environmental and Economic Aspects of Energy Saving Measures in Houses. An estimation model for total energy consumption and emissions to air from the Norwegian dwelling stock, and a life cycle assessment method for energy saving measures in houses

Energy Technology Data Exchange (ETDEWEB)

Myhre, L

1995-12-01

Motivated by the need to reduce the total energy consumption and the environmental load from society, this doctoral thesis discusses energy conservation measures on existing houses. Alternative additional thermal insulation measures are assessed using an interdisciplinary life cycle approach. The first task is to develop an interdisciplinary assessment method for building improvement measures, taking account of energy consumption, resource consumption, emissions to air of environmentally harmful gases, and economic costs during the entire life cycle of the building. The second task is to develop an estimation model for the total energy consumption and emissions to air of environmentally harmful gases from the dwelling stock of Norway. Finally, the third task is to assess the total energy saving potential and the total environmental benefits of energy saving measures in houses on a national level, including only life cycle analyses of additional thermal insulation measures on single houses. Chap 2 describes the dwelling stock in Norway. Chaps 3 and 4 present an estimation model for total energy consumption and emissions to air from the dwelling stock, and calculations using the model. Chaps 5 and 6 propose and use a calculation method for the assessment of additional thermal insulation measures, using a ``cradle-to-grave`` approach. Since hydroelectric power is the main energy source in this sector in Norway, estimated payback periods for emissions to air are long. But hydroelectric power saved in this sector may be used to obtain reduction in fossil fuel use in other sectors as discussed in Chap 7. Some of the topics discussed are further elaborated on in appendices. 107 refs., 39 figs, 88 tabs.

Estimating Household Travel Energy Consumption in Conjunction with a Travel Demand Forecasting Model

Energy Technology Data Exchange (ETDEWEB)

Garikapati, Venu M. [Systems Analysis and Integration Section, National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401; You, Daehyun [Maricopa Association of Governments, 302 North First Avenue, Suite 300, Phoenix, AZ 85003; Zhang, Wenwen [School of City and Regional Planning, Center for Geographic Information Systems, Georgia Institute of Technology, 760 Spring Street, Suite 230, Atlanta, GA 30308; Pendyala, Ram M. [School of Sustainable Engineering and the Built Environment, Arizona State University, 660 South College Avenue, Tempe, AZ 85281; Guhathakurta, Subhrajit [School of City and Regional Planning, Center for Geographic Information Systems, Georgia Institute of Technology, 760 Spring Street, Suite 230, Atlanta, GA 30308; Brown, Marilyn A. [School of Public Policy, 685 Cherry Street, Georgia Institute of Technology, Atlanta, GA 30332; Dilkina, Bistra [School of Computational Science and Engineering, 266 Ferst Drive, Georgia Institute of Technology, Atlanta, GA 30332

2017-01-01

This paper presents a methodology for the calculation of the consumption of household travel energy at the level of the traffic analysis zone (TAZ) in conjunction with information that is readily available from a standard four-step travel demand model system. This methodology embeds two algorithms. The first provides a means of allocating non-home-based trips to residential zones that are the source of such trips, whereas the second provides a mechanism for incorporating the effects of household vehicle fleet composition on fuel consumption. The methodology is applied to the greater Atlanta, Georgia, metropolitan region in the United States and is found to offer a robust mechanism for calculating the footprint of household travel energy at the level of the individual TAZ; this mechanism makes possible the study of variations in the energy footprint across space. The travel energy footprint is strongly correlated with the density of the built environment, although socioeconomic differences across TAZs also likely contribute to differences in travel energy footprints. The TAZ-level calculator of the footprint of household travel energy can be used to analyze alternative futures and relate differences in the energy footprint to differences in a number of contributing factors and thus enables the design of urban form, formulation of policy interventions, and implementation of awareness campaigns that may produce more-sustainable patterns of energy consumption.

Estimating Reduced Consumption for Dynamic Demand Response

Energy Technology Data Exchange (ETDEWEB)

Chelmis, Charalampos [Univ. of Southern California, Los Angeles, CA (United States); Aman, Saima [Univ. of Southern California, Los Angeles, CA (United States); Saeed, Muhammad Rizwan [Univ. of Southern California, Los Angeles, CA (United States); Frincu, Marc [Univ. of Southern California, Los Angeles, CA (United States); Prasanna, Viktor K. [Univ. of Southern California, Los Angeles, CA (United States)

2015-01-30

Growing demand is straining our existing electricity generation facilities and requires active participation of the utility and the consumers to achieve energy sustainability. One of the most effective and widely used ways to achieve this goal in the smart grid is demand response (DR), whereby consumers reduce their electricity consumption in response to a request sent from the utility whenever it anticipates a peak in demand. To successfully plan and implement demand response, the utility requires reliable estimate of reduced consumption during DR. This also helps in optimal selection of consumers and curtailment strategies during DR. While much work has been done on predicting normal consumption, reduced consumption prediction is an open problem that is under-studied. In this paper, we introduce and formalize the problem of reduced consumption prediction, and discuss the challenges associated with it. We also describe computational methods that use historical DR data as well as pre-DR conditions to make such predictions. Our experiments are conducted in the real-world setting of a university campus microgrid, and our preliminary results set the foundation for more detailed modeling.

The global contribution of energy consumption by product exports from China.

Science.gov (United States)

Tang, Erzi; Peng, Chong

2017-06-01

This paper presents a model to analyze the mechanism of the global contribution of energy usage by product exports. The theoretical analysis is based on the perspective that contribution estimates should be in relatively smaller sectors in which the production characteristics could be considered, such as the productivity distribution for each sector. Then, we constructed a method to measure the global contribution of energy usage. The simple method to estimate the global contribution is the percentage of goods export volume compared to the GDP as a multiple of total energy consumption, but this method underestimates the global contribution because it ignores the structure of energy consumption and product export in China. According to our measurement method and based on the theoretical analysis, we calculated the global contribution of energy consumption only by industrial manufactured product exports in a smaller sector per industry or manufacturing sector. The results indicated that approximately 42% of the total energy usage in the whole economy for China in 2013 was contributed to foreign regions. Along with the primary products and service export in China, the global contribution of energy consumption for China in 2013 by export was larger than 42% of the total energy usage.

Monitoring and optimization of energy consumption of base transceiver stations

International Nuclear Information System (INIS)

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

2015-01-01

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

Energy consumption analysis of the Venus Deep Space Station (DSS-13)

Science.gov (United States)

Hayes, N. V.

1983-01-01

This report continues the energy consumption analysis and verification study of the tracking stations of the Goldstone Deep Space Communications Complex, and presents an audit of the Venus Deep Space Station (DSS 13). Due to the non-continuous radioastronomy research and development operations at the station, estimations of energy usage were employed in the energy consumption simulation of both the 9-meter and 26-meter antenna buildings. A 17.9% decrease in station energy consumption was experienced over the 1979-1981 years under study. A comparison of the ECP computer simulations and the station's main watt-hour meter readings showed good agreement.

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.

The industrial energy consumption in 1999

International Nuclear Information System (INIS)

Anon.

2001-01-01

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

2014 Navajo Nation Energy and Water Consumption

Energy Technology Data Exchange (ETDEWEB)

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

2017-03-31

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

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

Modelling electric trains energy consumption using Neural Networks

Energy Technology Data Exchange (ETDEWEB)

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

2016-07-01

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

Residential building energy estimation method based on the application of artificial intelligence

Energy Technology Data Exchange (ETDEWEB)

Marshall, S.; Kajl, S.

1999-07-01

The energy requirements of a residential building five to twenty-five stories high can be measured using a newly proposed analytical method based on artificial intelligence. The method is fast and provides a wide range of results such as total energy consumption values, power surges, and heating or cooling consumption values. A series of database were created to take into account the particularities which influence the energy consumption of a building. In this study, DOE-2 software was created for use in 8 apartment models. A total of 27 neural networks were used, 3 for the estimation of energy consumption in the corridor, and 24 for inside the apartments. Three user interfaces were created to facilitate the estimation of energy consumption. These were named the Energy Estimation Assistance System (EEAS) interfaces and are only accessible using MATLAB software. The input parameters for EEAS are: climatic region, exterior wall resistance, roofing resistance, type of windows, infiltration, number of storeys, and corridor ventilation system operating schedule. By changing the parameters, the EEAS can determine annual heating, cooling and basic energy consumption levels for apartments and corridors. 2 tabs., 2 figs.

Effect of energy taxes on energy consumption

International Nuclear Information System (INIS)

Johnsen, T.A.

1991-01-01

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

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

Energy Technology Data Exchange (ETDEWEB)

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

2014-12-01

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

Carbon dioxide emissions, output, and energy consumption categories in Algeria.

Science.gov (United States)

Amri, Fethi

2017-06-01

This study examines the relation between CO 2 emissions, income, non-renewable, and renewable energy consumption in Algeria during the period extending from 1980 to 2011. Our work gives particular attention to the validity of environmental Kuznets curve (EKC) hypothesis. The autoregressive distributed lag (ARDL) with break point method outcome demonstrates the positive effect of non-renewable type of energy on CO 2 emissions consumption. On the contrary, the results reveal an insignificant effect of renewable energy on environment improvement. Moreover, the results accept the existence of EKC hypothesis but the highest gross domestic product value in logarithm scale of our data is inferior to the estimated turning point. Consequently, policy-makers in Algeria should expand the ratio of renewable energy and should decrease the quota of non-renewable energy consumption.

Household energy consumption and expenditures, 1990

International Nuclear Information System (INIS)

1993-01-01

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

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)

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.

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

International Nuclear Information System (INIS)

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

2017-01-01

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

Energy consumption by gender in some European countries

International Nuclear Information System (INIS)

Raety, R.; Carlsson-Kanyama, A.

2010-01-01

Household total energy use has been estimated in numerous studies in recent decades and differences have mainly been explained by levels of income/expenditure. Studies of gender consumption patterns show that men eat more meat than women and drive longer distances, potentially leading to higher total energy use by men. In this study we calculated the total energy use for male and female consumption patterns in four European countries (Germany, Norway, Greece and Sweden) by studying single households. Significant differences in total energy use were found in two countries, Greece and Sweden. The largest differences found between men and women were for travel and eating out, alcohol and tobacco, where men used much more energy than women. We suggest that these findings are policy relevant for the EU, which aims to mainstream gender issues into all activities and to lower its total energy use.

A field study of energy consumption in wheat production in Canterbury, New Zealand

International Nuclear Information System (INIS)

Safa, M.; Samarasinghe, S.; Mohssen, M.

2011-01-01

Research highlights: → We determine the energy use in wheat production base on farm operation and energy sources on dryland and irrigated farms in New Zealand. → The study estimate and compare different energy inputs in wheat production using around 40 samples. → The results show fertilizer is the most important energy inputs on farms. → The significant correlation between energy use and wheat production must be taken into consideration. -- Abstract: This paper examines the energy consumption of wheat production in Canterbury province, New Zealand. This study was conducted within a 35,300 ha of irrigated and dry land wheat fields in Canterbury in the 2007-2008 harvest year. Total energy consumption for wheat production was estimated at 25,600 MJ/ha. On average, fertilizer and electricity were used more than other energy sources, at around 10,654 (47%) and 4870 (22%) MJ/ha, respectively. The energy consumption for wheat in irrigated farming systems and dry land farming systems was estimated at 25,600 and 17,458 MJ/ha, respectively. The main source of energy in both systems is fertilizer and it consumed around 10,188 and 11,429 MJ/ha for irrigated farming and dry land farming, respectively. The average operational energy consumption was 7997 MJ/ha. In irrigated farming system, operational energy was approximately three times more than that in dry land farming. The maximum energy consumed in operational wheat production was about 7762 (71%) MJ/ha for irrigated farming systems, including irrigation, and it was 1451 (46%) MJ/ha for dry land farming including tillage. The average values of estimated output to input energy ratio for wheat in irrigated and dry land farming systems were 11.5 and 15.1, respectively.

Estimation of the energy needs; Estimation des besoins energetiques

Energy Technology Data Exchange (ETDEWEB)

Ailleret, [Electricite de France (EDF), Dir. General des Etudes de Recherches, 75 - Paris (France)

1955-07-01

The present report draws up the balance on the present and estimable energy consumption for the next twenty years. The present energy comes mainly of the consumption of coal, oil products and essentially hydraulic electric energy. the market development comes essentially of the development the industrial activity and of new applications tributary of the cost and the distribution of the electric energy. To this effect, the atomic energy offers good industrial perspectives in complement of the energy present resources in order to answer the new needs. (M.B.) [French] Le present rapport dresse le bilan sur la consommation energetique actuelle et previsionnelle pour les vingt prochaines annees. L'energie actuelle provient principalement consommation de charbon, de produits petroliers et d'energie electrique essentiellement hydraulique. l'evolution du marche provient essentielement du developpement l'activite industriel et de nouvelles applications tributaire du cout et de la distribution de l'energie electrique. A cet effet, l'energie atomique offre de bonne perspectives industrielles en complement des sources actuelles energetiques afin de repondre aux nouveaux besoins. (M.B.)

Does trade liberalization effect energy consumption?

International Nuclear Information System (INIS)

Ghani, Gairuzazmi M.

2012-01-01

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

Measures to reduce car-fleet consumption - Estimation of effects; Massnahmen zur Absenkung des Flottenverbrauchs. Abschaetzung der Wirkung

Energy Technology Data Exchange (ETDEWEB)

Iten, R.; Hammer, S.; Keller, M.; Schmidt, N. [Infras, Zuerich (Switzerland); Sammer, K.; Wuestenhagen, R. [Institut fuer Wirtschaft und Oekologie (IWOE-HSG), Universitaet St. Gallen, St. Gallen (Switzerland)

2005-09-15

This comprehensive report for the Swiss Federal Office of Energy (SFOE) takes a look at the results of a study that estimated the effects of measures that were to be taken in order to reduce the fuel consumption of fleets of vehicles as part of the SwissEnergy programme. The research reported on aimed to estimate the effects of the Energy Label on energy consumption and research concerning the results to be expected from the introduction of a bonus-malus system. Questions reviewed include the effect of fuel consumption data on making decisions concerning which vehicle to purchase, the effects of the Energy Label on consumption, the awareness of other appropriate information sources, the possible effects of a bonus-malus system and how the effectiveness of the Energy Label could be improved. The answers and results obtained are reviewed and commented on. Finally, an overall appraisal of the situation is presented and recommendations for increasing the effectiveness of the Energy Label are made

The industrial energy consumption in 2001

International Nuclear Information System (INIS)

Anon.

2002-01-01

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

Energy Consumption Analysis for Concrete Residences—A Baseline Study in Taiwan

Directory of Open Access Journals (Sweden)

Kuo-Liang Lin

2017-02-01

Full Text Available Estimating building energy consumption is difficult because it deals with complex interactions among uncertain weather conditions, occupant behaviors, and building characteristics. To facilitate estimation, this study employs a benchmarking methodology to obtain energy baseline for sample buildings. Utilizing a scientific simulation tool, this study attempts to develop energy consumption baselines of two typical concrete residences in Taiwan, and subsequently allows a simplified energy consumption prediction process at an early design stage of building development. Using weather data of three metropolitan cities as testbeds, annual energy consumption of two types of modern residences are determined through a series of simulation sessions with different building settings. The impacts of key building characteristics, including building insulation, air tightness, orientation, location, and residence type, are carefully investigated. Sample utility bills are then collected to validate the simulated results, resulting in three adjustment parameters for normalization, including ‘number of residents’, ‘total floor area’, and ‘air conditioning comfort level’, for justification of occupant behaviors in different living conditions. Study results not only provide valuable benchmarking data serving as references for performance evaluation of different energy-saving strategies, but also show how effective extended building insulation, enhanced air tightness, and prudent selection of residence location and orientation can be for successful implementation of building sustainability in tropical and subtropical regions.

Analysis of U.S. household wood energy consumption: 1967-2009

Science.gov (United States)

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

2012-01-01

The residential sector consumes about 23% of the energy derived from wood (wood energy) in the U.S. An estimated error correction model with data from 1967 to 2009 suggests that residential wood energy consumption has declined by an average 3% per year in response to technological progress, urbanization, accessibility of non-wood energy, and other factors associated...

Energy consumption analysis for various memristive networks under different learning strategies

Energy Technology Data Exchange (ETDEWEB)

Deng, Lei; Wang, Dong [Center for Brain Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing 100084 (China); Zhang, Ziyang; Tang, Pei [Optical Memory National Engineering Research Center, Department of Precision Instrument, Tsinghua University, Beijing 100084 (China); Li, Guoqi, E-mail: liguoqi@mail.tsinghua.edu.cn [Center for Brain Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing 100084 (China); Pei, Jing, E-mail: peij@mail.tsinghua.edu.cn [Center for Brain Inspired Computing Research (CBICR), Department of Precision Instrument, Tsinghua University, Beijing 100084 (China); Optical Memory National Engineering Research Center, Department of Precision Instrument, Tsinghua University, Beijing 100084 (China)

2016-02-22

Highlights: • Estimation methodology for energy consumed by memristor is established. • Energy comparisons for different learning strategies in various networks are touched. • Less-pulses and low-power-first modulation methods are energy efficient. • Proper decreasing the memristor modulation precision reduces the energy consumption. • Helpful solutions for power improving in memristive systems are proposed. - Abstract: Recently, various memristive systems emerge to emulate the efficient computing paradigm of the brain cortex; whereas, how to make them energy efficient still remains unclear, especially from an overall perspective. Here, a systematical and bottom-up energy consumption analysis is demonstrated, including the memristor device level and the network learning level. We propose an energy estimating methodology when modulating the memristive synapses, which is simulated in three typical neural networks with different synaptic structures and learning strategies for both offline and online learning. These results provide an in-depth insight to create energy efficient brain-inspired neuromorphic devices in the future.

Energy consumption analysis for various memristive networks under different learning strategies

International Nuclear Information System (INIS)

Deng, Lei; Wang, Dong; Zhang, Ziyang; Tang, Pei; Li, Guoqi; Pei, Jing

2016-01-01

Highlights: • Estimation methodology for energy consumed by memristor is established. • Energy comparisons for different learning strategies in various networks are touched. • Less-pulses and low-power-first modulation methods are energy efficient. • Proper decreasing the memristor modulation precision reduces the energy consumption. • Helpful solutions for power improving in memristive systems are proposed. - Abstract: Recently, various memristive systems emerge to emulate the efficient computing paradigm of the brain cortex; whereas, how to make them energy efficient still remains unclear, especially from an overall perspective. Here, a systematical and bottom-up energy consumption analysis is demonstrated, including the memristor device level and the network learning level. We propose an energy estimating methodology when modulating the memristive synapses, which is simulated in three typical neural networks with different synaptic structures and learning strategies for both offline and online learning. These results provide an in-depth insight to create energy efficient brain-inspired neuromorphic devices in the future.

Territorial approach to increased energy consumption of water extraction from depletion of a highlands Mexican aquifer.

Science.gov (United States)

Fonseca, Carlos Roberto; Esteller, María Vicenta; Díaz-Delgado, Carlos

2013-10-15

This work proposes a method to estimate increased energy consumption of pumping caused by a drawdown of groundwater level and the equivalent energy consumption of the motor-pump system in an aquifer under intensive exploitation. This method has been applied to the Valley of Toluca aquifer, located in the Mexican highlands, whose intensive exploitation is reflected in a decline in the groundwater level of between 0.10 and 1.6 m/year. Results provide a summary of energy consumption and a map of energy consumption isopleths showing the areas that are most susceptible to increases in energy consumption due to pumping. The proposed method can be used to estimate the effect of the intensive exploitation of the Valley of Toluca aquifer on the energy consumption of groundwater extraction. Finding reveals that, for the year 2006, groundwater extraction in the urban zone required 2.39 times more energy than the conditions observed 38 years earlier. In monetary terms, this reflects an increase of USD$ 3 million annually, according to 2005 energy production costs. Copyright © 2013 Elsevier Ltd. All rights reserved.

Is trade liberalization, economic growth, energy consumption good for the environment?

OpenAIRE

Jabeen, Asma

2015-01-01

The study attempts to identify the dynamic relationship between trade, income growth, energy consumption and CO2 emissions for Pakistan. Johansen's Cointegration procedure has been employed to estimate the coefficients of the Cointegrated Vector Autoregressive model. The results reveal that trade has a favorable effect on environmental quality for Pakistan economy, while income growth, energy consumption tends to worsen the environmental quality thus supporting the existence of Environmental ...

Energy consumption: Past, present, future

Science.gov (United States)

1973-01-01

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

Power Consumption Estimation Using Artificial Neural Networks: The Case of Turkey

Directory of Open Access Journals (Sweden)

Havva Hilal Metin

2018-06-01

Full Text Available A significant proportion of the world energy consumption is by developing countries. As a developing country, Turkey is one of the leading countries in terms of the increase in energy demand. According to the data from the Ministry of Energy and Natural Resources, Turkey is the country with the greatest increase in demand after China in electricity and natural gas consumption since 2000. In 1970, the ratio of total energy production to consumption in Turkey was 76%. In year 2000, this ratio dropped down to 35%, in year 2010 to 26% and predicted to come down to 23% by year 2020. This situation indicates an increase in Turkey’s energy dependency every passing year and the need to implement solutions to reduce this dependency. Today, electric energy has become a very critical and indispensable part of the development of technology. Production and consumption of electrical energy, which facilitates human life and increases labour productivity, are increasing every year. Electricity is a versatile and easily controlled form of energy. Electricity is practically non-existent and non-polluting at the point of use. Electricity can be cleanly produced by completely renewable methods such as wind, water and sunlight at the production point. Electricity market has a unique feature compared to other commodities. This feature requires the consumption of electricity when it is produced. Forecasting the future consumption of electricity in Turkey is crucial in making strategic plans for the future and taking the necessary measures. In Turkey, the consumption of electricity in the estimation studies were generally observed that the use of long-term electricity consumption prediction method of neural networks. In some studies, the results obtained by artificial neural network method are compared with Box-Jenkins models and regression technique. As a result of comparison, artificial neural networks seem to be a good predictor of electricity consumption. In this

Annual electricity consumption forecasting by neural network in high energy consuming industrial sectors

International Nuclear Information System (INIS)

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

2008-01-01

This paper presents an artificial neural network (ANN) approach for annual electricity consumption in high energy consumption industrial sectors. Chemicals, basic metals and non-metal minerals industries are defined as high energy consuming industries. It is claimed that, due to high fluctuations of energy consumption in high energy consumption industries, conventional regression models do not forecast energy consumption correctly and precisely. Although ANNs have been typically used to forecast short term consumptions, this paper shows that it is a more precise approach to forecast annual consumption in such industries. Furthermore, the ANN approach based on a supervised multi-layer perceptron (MLP) is used to show it can estimate the annual consumption with less error. Actual data from high energy consuming (intensive) industries in Iran from 1979 to 2003 is used to illustrate the applicability of the ANN approach. This study shows the advantage of the ANN approach through analysis of variance (ANOVA). Furthermore, the ANN forecast is compared with actual data and the conventional regression model through ANOVA to show its superiority. This is the first study to present an algorithm based on the ANN and ANOVA for forecasting long term electricity consumption in high energy consuming industries

Energy access: Revelations from energy consumption patterns in rural India

International Nuclear Information System (INIS)

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

2012-01-01

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

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)

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.)

Energy Consumption vs. Energy Requirement

Science.gov (United States)

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

2006-01-01

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

The relationship among energy prices and energy consumption in China

International Nuclear Information System (INIS)

Yuan, Chaoqing; Liu, Sifeng; Wu, Junlong

2010-01-01

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

Three essays in energy consumption: Time series analyses

Science.gov (United States)

Ahn, Hee Bai

1997-10-01

Firstly, this dissertation investigates that which demand specification is an appropriate model for long-run energy demand between the conventional demand specification and the limited demand specification. In order to determine the components of a stable long-run demand for different sectors of the energy industry, I perform cointegration tests by using the Johansen test procedure. First, I test the conventional demand specification including prices and income as components. Second, I test a limited demand specification only income as a component. The reason for performing these tests is that we can determine that which demand specification is a good long-run predictor of energy consumption between the two demand specifications by using the cointegration tests. Secondly, for the purpose of planning and forecasting energy demand in case of cointegrated system, long-run elasticities are of particular interest. To retrieve the optimal level of energy demand in case of price shock, we need long-run elasticities rather than short-run elasticities. The energy demand study provides valuable information to the energy policy makers who are concerned about the long-run impact of taxes and tariffs. A long-run price elasticity is a primary barometer of the substitution effect between energy and non-energy inputs and long-run income elasticity is an important factor since we can measure the energy demand growing slowly or fast than in the past depending on the magnitude of long-run elasticity. The one other problem in estimating the total energy demand is that there exists an aggregation bias stemming from the process of summation in four different energy types for the total aggregation prices and total aggregation energy consumption. In order to measure the aggregation bias between the Btu aggregation method and the Divisia Index method, i.e., which methodology has less aggregation bias in the long-run, I compare the two estimation results with calculated results estimated on

Electricity consumption and energy savings potential of video game consoles in the United States

Energy Technology Data Exchange (ETDEWEB)

Hittinger, E.; Mullins, K.A.; Azevedo, I.L. [Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213 (United States)

2012-11-15

Total energy consumption of video game consoles has grown rapidly in the past few decades due to rapid increases in market penetration, power consumption of the devices, and increasing usage driven by new capabilities. Unfortunately, studies investigating the energy impacts of these devices have been limited and potential responses, such as ENERGY STAR requirements, have been difficult to define and implement. We estimate that the total electricity consumption of video game consoles in the US was around 11 TWh in 2007 and 16 TWh in 2010 (approximately 1 % of US residential electricity consumption), an increase of almost 50 % in 3 years. However, any estimate of total game console energy consumption is highly uncertain, and we have determined that the key uncertainty is the unknown consumer behavior with regards to powering down the system after use. Even under this uncertainty, we demonstrate that the most effective energy-saving modification is incorporation of a default auto power down feature, which could reduce electricity consumption of game consoles by 75 % (10 TWh reduction of electricity in 2010), saving consumers over USD 1 billion annually in electricity bills. We conclude that using an auto power down feature for game consoles is at least as effective for reducing energy consumption as implementing a strict set of energy efficiency improvements for the devices, is much easier to implement given the nature of the video game console industry, and could be applied retroactively to currently deployed consoles through firmware updates.

Energy end use statistics and estimations in the Polish household sector

International Nuclear Information System (INIS)

Gilecki, R.

1997-01-01

The energy statistics in Poland was in the past concentrated on energy production and industrial consumption, but little information was available on the households energy consumption. This data unavailability was an important barrier for the various analyses and forecasting of the energy balance developments. In the recent years some successful attempts were made to acquire a wider and more reliable picture of household energy consumption. The households surveys were made and some existing data were analyzed and verified. The better and more detailed picture of households energy use was in this way constructed. The breakdown of energy consumption by end-use categories (space heating, water heating, cooking, electrical appliances) was quite reliably estimated. Important international cooperation and guidance was used in the course of Polish households energy consumption research. (author). 6 refs

Energy end use statistics and estimations in the Polish household sector

Energy Technology Data Exchange (ETDEWEB)

Gilecki, R [Energy Information Centre, Warsaw (Poland)

1997-09-01

The energy statistics in Poland was in the past concentrated on energy production and industrial consumption, but little information was available on the households energy consumption. This data unavailability was an important barrier for the various analyses and forecasting of the energy balance developments. In the recent years some successful attempts were made to acquire a wider and more reliable picture of household energy consumption. The households surveys were made and some existing data were analyzed and verified. The better and more detailed picture of households energy use was in this way constructed. The breakdown of energy consumption by end-use categories (space heating, water heating, cooking, electrical appliances) was quite reliably estimated. Important international cooperation and guidance was used in the course of Polish households energy consumption research. (author). 6 refs.

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.)

Energy consumption and total factor productivity growth in Iranian agriculture

Directory of Open Access Journals (Sweden)

Reza Moghaddasi

2016-11-01

Full Text Available In this study we investigated the relation between energy consumption and growth of total factor productivity (TFP of agriculture in Iran from 1974 to 2012 using Solow residual method. The results from estimated aggregate Cobb–Douglas production function showed that one percent change in the value of labor, capital and energy will lead to 4.07, 0.09 and 0.49 percent change in agriculture value added, respectively. Also in a long term, based on the Johansen cointegration test, there is a negative relation between TFP growth and energy consumption in Iranian agriculture which might be due to cheap and inefficient energy use in this sector. Gradual liberalization of energy price and use of so called green box support policies is recommended.

Energy Consumption and Economic Growth in Algeria: Cointegration and Causality Analysis

Directory of Open Access Journals (Sweden)

Cherfi Souhila

2012-01-01

Full Text Available This study investigates the energy consumption-growth nexus in Algeria. The causal relationship between the logarithm of per capita energy consumption (LPCEC and the logarithm of per capita GDP (LPCGDP during the 1965-2008 period is examined using the threshold cointegration and Granger causality tests. The estimation results indicate that the LPCEC and LPCGDP for Algeria are non cointegrated and that there is a uni-directional causality running from LPCGDP to LPCEC, but not vice versa. The research results strongly support the neoclassical perspective that energy consumption is not a limiting factor to economic growth in Algeria. Accordingly, an important policy implication resulting from this analysis is that government can pursue the conservation energy policies that aim at curtailing energy use for environmental friendly development purposes without creating severe effects on economic growth. The energy should be efficiently allocated into more productive sectors of the economy.

Energy consumption trends in Hawaii

International Nuclear Information System (INIS)

Kaya, Abidin; Yalcintas, Melek

2010-01-01

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

Energy consumption and conservation, evaluation

International Nuclear Information System (INIS)

Acket, C.

2006-04-01

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

Scheduling home-appliances to optimize energy consumption

DEFF Research Database (Denmark)

Rossello Busquet, Ana

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

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.)

Trends in Data Centre Energy Consumption under the European Code of Conduct for Data Centre Energy Efficiency

Directory of Open Access Journals (Sweden)

Maria Avgerinou

2017-09-01

Full Text Available Climate change is recognised as one of the key challenges humankind is facing. The Information and Communication Technology (ICT sector including data centres generates up to 2% of the global CO2 emissions, a number on par to the aviation sector contribution, and data centres are estimated to have the fastest growing carbon footprint from across the whole ICT sector, mainly due to technological advances such as the cloud computing and the rapid growth of the use of Internet services. There are no recent estimations of the total energy consumption of the European data centre and of their energy efficiency. The aim of this paper is to evaluate, analyse and present the current trends in energy consumption and efficiency in data centres in the European Union using the data submitted by companies participating in the European Code of Conduct for Data Centre Energy Efficiency programme, a voluntary initiative created in 2008 in response to the increasing energy consumption in data centres and the need to reduce the related environmental, economic and energy supply security impacts. The analysis shows that the average Power Usage Effectiveness (PUE of the facilities participating in the programme is declining year after year. This confirms that voluntary approaches could be effective in addressing climate and energy issue.

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

International Nuclear Information System (INIS)

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

1989-04-01

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

DOES ENERGY CONSUMPTION VOLATILITY AFFECT REAL GDP VOLATILITY? AN EMPIRICAL ANALYSIS FOR THE UK

Directory of Open Access Journals (Sweden)

Abdul Rashid

2013-10-01

Full Text Available This paper empirically examines the relation between energy consumption volatility and unpredictable variations in real gross domestic product (GDP in the UK. Estimating the Markov switching ARCH model we find a significant regime switching in the behavior of both energy consumption and GDP volatility. The results from the Markov regime-switching model show that the variability of energy consumption has a significant role to play in determining the behavior of GDP volatilities. Moreover, the results suggest that the impacts of unpredictable variations in energy consumption on GDP volatility are asymmetric, depending on the intensity of volatility. In particular, we find that while there is no significant contemporaneous relationship between energy consumption volatility and GDP volatility in the first (low-volatility regime, GDP volatility is significantly positively related to the volatility of energy utilization in the second (high-volatility regime.

Building and occupant characteristics as determinants of residential energy consumption

Energy Technology Data Exchange (ETDEWEB)

Nieves, L.A.; Nieves, A.L.

1981-10-01

The major goals of the research are to gain insight into the probable effects of building energy performance standards on energy consumption; to obtain observations of actual residential energy consumption that could affirm or disaffirm comsumption estimates of the DOE 2.0A simulation model; and to investigate home owner's conservation investments and home purchase decisions. The first chapter covers the investigation of determinants of household energy consumption. The presentation begins with the underlying economic theory and its implications, and continues with a description of the data collection procedures, the formulation of variables, and then of data analysis and findings. In the second chapter the assumptions and limitations of the energy use projections generated by the DOE 2.0A model are discussed. Actual electricity data for the houses are then compared with results of the simulation. The third chapter contains information regarding households' willingness to make energy conserving investments and their ranking of various conservation features. In the final chapter conclusions and recommendations are presented with an emphasis on the policy implications of this study. (MCW)

Occupant performance and building energy consumption with different philosophies of determining acceptable thermal conditions

DEFF Research Database (Denmark)

Toftum, Jørn; Andersen, Rune Vinther; Jensen, Kasper Lynge

2009-01-01

Based on building energy and indoor environment simulations, this study uses a recently developed method relying on Bayesian Network theory to estimate and compare the consequences for occupant performance and energy consumption of applying temperature criteria set according to the adaptive model...... configurations, especially in the tropical climate, the estimated performance differed only modestly between configurations. However, energy consumption was always lower in buildings without mechanical cooling, particularly so in the tropical climate. The findings indicate that determining acceptable indoor...... thermal environments with the adaptive comfort model may result in significant energy savings and at the same time will not have large consequences for the mental performance of occupants....

Evaluation and analysis of energy consumption in office buildings; Feldstudie zum Energieverbrauch von Buerogebaeuden

Energy Technology Data Exchange (ETDEWEB)

Maas, Stefan; Scholzen, Frank; Thewes, Andreas; Waldmann, Daniele [Universitaet Luxemburg, Campus Kirchberg, Fakultaet fuer Naturwissenschaften, Technologie und Kommunikation, Forschungseinheit Ingenieurswissenschaften, Luxemburg (Luxembourg); Zuerbes, Arno [Fachhochschule Bingen, Fachbereich Technik, Informatik und Wirtschaft, Bingen am Rhein (Germany)

2011-06-15

During the last years the national energy consumption of Luxembourg shifted noticeable towards the building sector. In 1990 71 % of the total domestic end energy consumption was ascribed to industrial sector and only 20 % to the building sector. The distribution changed significantly and in 2005 the energy consumption dedicated to industrial sector represented only 44 %, transport 25 % and the tertiary sector 31 % [1], which includes private and public households as well as non-residential buildings. The buildings account for 40 % of total energy consumption in the EU and there is an enormous energy saving potential. Therefore the EUdirective 2002/91/EG [2] requires from all EU Member States to save energy in this sector. Hence the energy saving of buildings present an essential part of climate protection. Furthermore the new directive 2010/31/EG [3] requires from the Member States to tighten national standards and to draw up national plans for increasing the number of nearly zero-energy buildings. But for a better understanding of energy flows in buildings and to develop energy saving concepts as well as to estimate possible energy savings of buildings a detailed analysis of energy consumption databases is an important precondition. The following field survey monitors 47 office buildings in Luxembourg. A separate gathering of electricity, heat and cooling energy consumptions allowed a detailed energetic analysis. A statistical analysis and interpretation of new buildings differentiated by energy sources as well as definition of energy relevant parameters like the window ratio, the construction method, the type of use or the kind of technical installations show the problems of typical existing office buildings. A final extrapolation to the population of all new office buildings in Luxembourg helps to estimate the energy saving potential.

Turkey's net energy consumption

International Nuclear Information System (INIS)

Soezen, Adnan; Arcaklioglu, Erol; Oezkaymak, Mehmet

2005-01-01

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

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

OpenAIRE

Anaya, Carlos A.; Burgos, Ana Laura

2015-01-01

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

2007 Estimated International Energy Flows

Energy Technology Data Exchange (ETDEWEB)

Smith, C A; Belles, R D; Simon, A J

2011-03-10

An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

CO2 emissions, energy consumption and economic growth nexus in MENA countries: Evidence from simultaneous equations models

International Nuclear Information System (INIS)

Omri, Anis

2013-01-01

This paper examines the nexus between CO 2 emissions, energy consumption and economic growth using simultaneous-equations models with panel data of 14 MENA countries over the period 1990–2011. Our empirical results show that there exists a bidirectional causal relationship between energy consumption and economic growth. However, the results support the occurrence of unidirectional causality from energy consumption to CO 2 emissions without any feedback effects, and there exists a bidirectional causal relationship between economic growth and CO 2 emissions for the region as a whole. The study suggests that environmental and energy policies should recognize the differences in the nexus between energy consumption and economic growth in order to maintain sustainable economic growth in the MENA region. - Graphical abstract: Interaction between CO 2 , energy and GDP for MENA countries. - Highlights: • We investigate the energy–environment–GDP nexus for 14 MENA countries. • We have used simultaneous equations models estimated by the GMM-estimator. • Results show bi-directional causal relationship between energy consumption and economic growth. • There is uni-directional causality from energy consumption to CO 2 . • There exists bi-directional causal relationship between economic growth and pollutant emissions

Energy consumption analysis of Spanish food and drink, textile, chemical and non-metallic mineral products sectors

International Nuclear Information System (INIS)

Aranda-Usón, Alfonso; Ferreira, Germán; Mainar-Toledo, M.D.; Scarpellini, Sabina; Llera Sastresa, Eva

2012-01-01

This paper provides quantitative information for energy consumption from four different industry sectors based on an energy analysis obtained by means of in-situ energy audits and complementary information. The latter information was taken from Saving Strategy and Energy Efficiency in Spain (Estrategia de Ahorro y Eficiencia Energética en España 2004–2010, E4) documents and the 2009 Industrial Survey of Spain from the National Statistics Institute (Instituto Nacional de Estadística, INE). The results show an estimate of energy consumption for each sector, namely Spanish food, drink and tobacco (9.6%), textile (4.5%), chemical (14.7%), and non-metallic mineral products (24.3%), as well as the degree of inefficiency for each, obtained by means of a stochastic frontier production function model. These results are combined with the energy consumption analysis to identify potential energy saving opportunities around 20.0% of the total energy consumption for all studied sectors. These energy saving opportunities are classified according to thermal or electrical energy consumption and percentage savings of the total energy consumption. -- Highlights: ► This study presents the analysis of four Spanish energy-consuming industrial sectors. ► The four selected sectors account for 33.0% of the total industrial SMEs. ► An audit was carried out in several factories from each analysed industrial sector. ► Stochastic Cobb-Douglas frontiers were used to estimate production frontiers. ► Potential energy saving opportunities around 20.0% of the total energy consumption.

Comparing the Life Cycle Energy Consumption, Global ...

Science.gov (United States)

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

Reduction in energy consumption of electrochemical pesticide degradation through combination with membrane filtration

DEFF Research Database (Denmark)

Madsen, Henrik Tækker; Søgaard, Erik Gydesen; Muff, Jens

2015-01-01

A significant challenge for large-scale use of electrochemical oxidation (EO) is high energy consumption, and for EO to become accepted as a standard technique, the amount of energy consumed in the process must be reduced. In this study, it was investigated how the energy consumption of EO could...... be lowered by combining the process with membrane filtration, in a setup where EO was applied to the membrane retentate stream. Use of two types of membranes, a nanofiltration (NF) and a reverse osmosis (RO) membrane, was investigated, and to provide realistic estimates on the energy consumption...... of the treatment, natural groundwater spiked with the pesticide residue 2,6-dichlorobenzamide (BAM) was used as matrix in the experiments. To understand the effect of the membranes on the energy consumption, their effect on the EO degradation efficiency was also determined. The results showed that membranes...

Energy consumption in office buildings. Trends and drivers; Energibruk i kontorbygg. Trender og drivere

Energy Technology Data Exchange (ETDEWEB)

Langseth, Benedicte

2013-02-01

This report focuses on the energy usage of Norwegian office buildings. Historic data on the subject is limited, so qualitative input is gathered through interviews with property owners and contractors for energy solutions. We have looked at what affects the total area of office buildings in Norway, and realized that it more or less follows the inland gross domestic product. The report also includes cross-sectional analyses from various data sources to find what affects the specific energy usage of office buildings. The actual measured consumption deviates from estimated consumption, especially in newer buildings and especially within ventilation and cooling. Additionally, a model has been developed for projective purposes. It is well suited to test the effect of various input parameters and assumptions on the total area of office buildings and their energy consumption. Though as of yet the quality of data is not good enough to make a profound and credible estimate of total energy usage.(eb)

Biofuel demand estimation in the rural domestic energy sector of India

International Nuclear Information System (INIS)

Sinha, C.S.; Joshi, Veena

1994-01-01

The major efforts and their limitations to formulate rural domestic energy requirements in India are discussed. Results of some of the recent efforts for quantifying biofuel consumption in rural areas are presented. Emphasis is on the recent efforts to collate and analyze results of energy consumption survey of 638 villages covering over 39,000 households. These are used to estimate biofuel use for different agro-climatic regions in India by estimating consumption at the district level in the rural domestic sector. The results are aggregated at the state level and they are compared with other estimates for India. The range of consumption aggregated at the national level is found to vary widely (93-252 million tonnes/yr of firewood, 54-107 million tonnes/yr of animal waste and 36-99 million tonnes/yr of agricultural residues). Reasons for the wide disparity in the results is briefly discussed. (author)

Energy consumption-economic growth relationship and carbon dioxide emissions in China

Energy Technology Data Exchange (ETDEWEB)

Fei Li, E-mail: lfly2004@yahoo.com.c [Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 (China); Dong Suocheng; Xue Li [Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 (China); Liang Quanxi [Jinan University, Guangzhou 510632 (China); Yang Wangzhou [Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101 (China)

2011-02-15

This paper applies the panel unit root, heterogeneous panel cointegration and panel-based dynamic OLS to re-investigate the co-movement and relationship between energy consumption and economic growth for 30 provinces in mainland China from 1985 to 2007. The empirical results show that there is a positive long-run cointegrated relationship between real GDP per capita and energy consumption variables. Furthermore, we investigate two cross-regional groups, namely the east China and west China groups, and get more important results and implications. In the long-term, a 1% increase in real GDP per capita increases the consumption of energy by approximately 0.48-0.50% and accordingly increases the carbon dioxide emissions by about 0.41-0.43% in China. The economic growth in east China is energy-dependent to a great extent, and the income elasticity of energy consumption in east China is over 2 times that of the west China. At present, China is subject to tremendous pressures for mitigating climate change issues. It is possible that the GDP per capita elasticity of carbon dioxide emissions would be controlled in a range from 0.2 to 0.3 by the great effort. - Research Highlights: {yields} The long-run cointegrated relationship between real GDP per capita and energy consumption in China is examined. {yields} GDP per capita elasticity of carbon dioxide emissions is estimated. {yields} Economic growth in east China is energy-dependent to a great extent, and relies on the consumption of the energy more than the west China.

Energy consumption-economic growth relationship and carbon dioxide emissions in China

International Nuclear Information System (INIS)

Fei Li; Dong Suocheng; Xue Li; Liang Quanxi; Yang Wangzhou

2011-01-01

This paper applies the panel unit root, heterogeneous panel cointegration and panel-based dynamic OLS to re-investigate the co-movement and relationship between energy consumption and economic growth for 30 provinces in mainland China from 1985 to 2007. The empirical results show that there is a positive long-run cointegrated relationship between real GDP per capita and energy consumption variables. Furthermore, we investigate two cross-regional groups, namely the east China and west China groups, and get more important results and implications. In the long-term, a 1% increase in real GDP per capita increases the consumption of energy by approximately 0.48-0.50% and accordingly increases the carbon dioxide emissions by about 0.41-0.43% in China. The economic growth in east China is energy-dependent to a great extent, and the income elasticity of energy consumption in east China is over 2 times that of the west China. At present, China is subject to tremendous pressures for mitigating climate change issues. It is possible that the GDP per capita elasticity of carbon dioxide emissions would be controlled in a range from 0.2 to 0.3 by the great effort. - Research Highlights: → The long-run cointegrated relationship between real GDP per capita and energy consumption in China is examined. → GDP per capita elasticity of carbon dioxide emissions is estimated. → Economic growth in east China is energy-dependent to a great extent, and relies on the consumption of the energy more than the west China.

China Building Energy Consumption: Definitions and Measures from an Operational Perspective

Directory of Open Access Journals (Sweden)

Wei Wei

2017-04-01

Full Text Available China building energy consumption (BEC has been gradually derived and also sparked attention. However, something worth discussing is estimating the BEC based on the definition of life cycle or building operation. In addition, there exists discrepancy in the previous studies and the real status of BEC has not been known well. In order to settle the disputes over the calculation of BEC, this paper establishes an appropriate accounting method of building energy to present the BEC situation in China and lays the foundation for policymakers to develop appropriate energy saving policies. Meanwhile, this study attempts to clarify the BEC to help policymakers assess the effect of environmental policies. Using the method in this document, we find that the energy consumption of buildings just accounts for 15%–16% of the final total energy consumption in China; by contrast, the previous studies usually have double accounting through a top-down approach if central heat supply of buildings was taken into additional consideration.

Estimating the energy independence of a municipal wastewater treatment plant incorporating green energy resources

International Nuclear Information System (INIS)

Chae, Kyu-Jung; Kang, Jihoon

2013-01-01

Highlights: • We estimated green energy production in a municipal wastewater treatment plant. • Engineered approaches in mining multiple green energy resources were presented. • The estimated green energy production accounted for 6.5% of energy independence in the plant. • We presented practical information regarding green energy projects in water infrastructures. - Abstract: Increasing energy prices and concerns about global climate change highlight the need to improve energy independence in municipal wastewater treatment plants (WWTPs). This paper presents methodologies for estimating the energy independence of a municipal WWTP with a design capacity of 30,000 m 3 /d incorporating various green energy resources into the existing facilities, including different types of 100 kW photovoltaics, 10 kW small hydropower, and an effluent heat recovery system with a 25 refrigeration ton heat pump. It also provides guidance for the selection of appropriate renewable technologies or their combinations for specific WWTP applications to reach energy self-sufficiency goals. The results showed that annual energy production equal to 107 tons of oil equivalent could be expected when the proposed green energy resources are implemented in the WWTP. The energy independence, which was defined as the percent ratio of green energy production to energy consumption, was estimated to be a maximum of 6.5% and to vary with on-site energy consumption in the WWTP. Implementing green energy resources tailored to specific site conditions is necessary to improve the energy independence in WWTPs. Most of the applied technologies were economically viable primarily because of the financial support under the mandatory renewable portfolio standard in Korea

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.)

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

Indicators for the international comparison of energy consumption and greenhouse-gas emissions

International Nuclear Information System (INIS)

Hohmann, R.; Steiner, S.; Koch, P.

2007-11-01

This comprehensive report for the Swiss Federal Office of Energy (SFOE) examines the energy consumption and greenhouse-gas emissions of various Swiss economical sectors including industry, services, households and traffic. Comparisons are made with the corresponding areas in the European Union and other countries. In spite of the relatively good situation in the Swiss industrial sector, further investigation is recommended. Room for improvement in the services sector is mentioned and average performance as far as energy consumption in households is concerned is noted. It is estimated that a considerable potential for improvement is available in this sector. Motorised traffic is quoted as being the main source of greenhouse-gas emissions, Switzerland being the second worst European country in this respect. Estimates are made concerning the potential for emission reductions in the various areas

The external energy consumption in automobiles manufacturing; La consommation d'energie externe dans la fabrication d'automobiles

Energy Technology Data Exchange (ETDEWEB)

Lantz, F.; Lesne, Ch.

2003-03-01

This analysis on the external energy consumption in the automotive industry aims at: estimating the energy consumed in the French territory by the overall transports linked with the automotive industry ('external' energy) and comparing it to the energy consumed in car factories ('internal' energy); estimating the CO{sub 2} emission levels linked with the transportation activity and evaluating the impact of these emissions on the main parameters of the automotive industry production (number of vehicles produced). The methodology is based on a first study carried out with the French car maker Renault at the European scale, and extended to the whole automotive industry of France. The first two chapters are devoted to a descriptive analysis of the car making process in an internationalization context. The methodology of estimation of external energy consumptions and of CO{sub 2} emissions is presented in the third chapter. Finally, a modeling at the scale of France is proposed in the last chapter. A synthesis of the results and the lessons learnt are summarized in the conclusion. (J.S.)

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

Energy consumption and stocks of energy-converting artefacts

International Nuclear Information System (INIS)

Bladh, Mats

2012-01-01

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

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 Efficient Smartphones: Minimizing the Energy Consumption of Smartphone GPUs using DVFS Governors

KAUST Repository

Ahmad, Enas M.

2013-05-15

Modern smartphones are being designed with increasing processing power, memory capacity, network communication, and graphics performance. Although all of these features are enriching and expanding the experience of a smartphone user, they are significantly adding an overhead on the limited energy of the battery. This thesis aims at enhancing the energy efficiency of modern smartphones and increasing their battery life by minimizing the energy consumption of smartphones Graphical Processing Unit (GPU). Smartphone operating systems are becoming fully hardware-accelerated, which implies relying on the GPU power for rendering all application graphics. In addition, the GPUs installed in smartphones are becoming more and more powerful by the day. This raises an energy consumption concern. We present a novel implementation of GPU Scaling Governors, a Dynamic Voltage and Frequency Scaling (DVFS) scheme implemented in the Android kernel to dynamically scale the GPU. The scheme includes four main governors: Performance, Powersave, Ondmand, and Conservative. Unlike previous studies which looked into the power efficiency of mobile GPUs only through simulation and power estimations, we have implemented our approach on a real modern smartphone GPU, and acquired actual energy measurements using an external power monitor. Our results show that the energy consumption of smartphones can be reduced up to 15% using the Conservative governor in 2D rendering mode, and up to 9% in 3D rendering mode, with minimal effect on the performance.

Energy consumption projection of Nepal: An econometric approach

DEFF Research Database (Denmark)

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

2014-01-01

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

Biofuel demand estimation in the rural domestic energy sector of India

International Nuclear Information System (INIS)

Sinha, C.S.; Joshi, V.

1993-01-01

The major efforts and their limitations to formulate rural domestic energy requirements in India are discussed. Results of some of the recent efforts for quantifying biofuel consumption in rural areas are presented thereafter. Emphasis in this paper is on the recent efforts to collate and analyze results of energy consumption survey of 638 villages covering over 39,000 households. These are used to estimate biofuel use for different agro-climatic regions in India by estimating consumption at the district level in the rural domestic sector. The results are aggregated at the state level and they are compared with other estimates for India. The range of consumption aggregated at the national level is found to vary widely (93-252 million tonnes/y of firewood, 54-107 million tonnes/y of animal waste and 36-99 million tonnes/y of agricultural residues). Reasons for the wide disparity in the results is briefly discussed. (author)

Estimation of Residential Heat Pump Consumption for Flexibility Market Applications

DEFF Research Database (Denmark)

Kouzelis, Konstantinos; Tan, Zheng-Hua; Bak-Jensen, Birgitte

2015-01-01

load of a flexible device, namely a Heat Pump (HP), out of the aggregated energy consumption of a house. The main idea for accomplishing this, is a comparison of the flexible consumer with electrically similar non-flexible consumers. The methodology is based on machine learning techniques, probability...... theory and statistics. After presenting this methodology, the general trend of the HP consumption is estimated and an hour-ahead forecast is conducted by employing Seasonal Autoregressive Integrated Moving Average modeling. In this manner, the flexible consumption is predicted, establishing the basis......Recent technological advancements have facilitated the evolution of traditional distribution grids to smart grids. In a smart grid scenario, flexible devices are expected to aid the system in balancing the electric power in a technically and economically efficient way. To achieve this, the flexible...

Inferring Parametric Energy Consumption Functions at Different Software Levels

DEFF Research Database (Denmark)

Liqat, Umer; Georgiou, Kyriakos; Kerrison, Steve

2016-01-01

The static estimation of the energy consumed by program executions is an important challenge, which has applications in program optimization and verification, and is instrumental in energy-aware software development. Our objective is to estimate such energy consumption in the form of functions...... on the input data sizes of programs. We have developed a tool for experimentation with static analysis which infers such energy functions at two levels, the instruction set architecture (ISA) and the intermediate code (LLVM IR) levels, and reflects it upwards to the higher source code level. This required...... the development of a translation from LLVM IR to an intermediate representation and its integration with existing components, a translation from ISA to the same representation, a resource analyzer, an ISA-level energy model, and a mapping from this model to LLVM IR. The approach has been applied to programs...

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

A method for evaluating transport energy consumption in suburban areas

International Nuclear Information System (INIS)

Marique, Anne-Françoise; Reiter, Sigrid

2012-01-01

Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: ► The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. ► Home-to-work travels represent the most important part of calculated transport energy consumption. ► Energy savings can be achieved by reducing distances to travel through a good mix between activities at the

An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran

Energy Technology Data Exchange (ETDEWEB)

Azadeh, A; Seraj, O [Department of Industrial Engineering and Research Institute of Energy Management and Planning, Center of Excellence for Intelligent-Based Experimental Mechanics, College of Engineering, University of Tehran, P.O. Box 11365-4563 (Iran); Saberi, M [Department of Industrial Engineering, University of Tafresh (Iran); Institute for Digital Ecosystems and Business Intelligence, Curtin University of Technology, Perth (Australia)

2010-06-15

This study presents an integrated fuzzy regression and time series framework to estimate and predict electricity demand for seasonal and monthly changes in electricity consumption especially in developing countries such as China and Iran with non-stationary data. Furthermore, it is difficult to model uncertain behavior of energy consumption with only conventional fuzzy regression (FR) or time series and the integrated algorithm could be an ideal substitute for such cases. At First, preferred Time series model is selected from linear or nonlinear models. For this, after selecting preferred Auto Regression Moving Average (ARMA) model, Mcleod-Li test is applied to determine nonlinearity condition. When, nonlinearity condition is satisfied, the preferred nonlinear model is selected and defined as preferred time series model. At last, the preferred model from fuzzy regression and time series model is selected by the Granger-Newbold. Also, the impact of data preprocessing on the fuzzy regression performance is considered. Monthly electricity consumption of Iran from March 1994 to January 2005 is considered as the case of this study. The superiority of the proposed algorithm is shown by comparing its results with other intelligent tools such as Genetic Algorithm (GA) and Artificial Neural Network (ANN). (author)

Energy consumption in leisure-time activities; Vapaa-ajan harrastuksiin liittyvae energiankulutus

Energy Technology Data Exchange (ETDEWEB)

Maentylae, K. [VTT Building Technology, Espoo (Finland); Alppivuori, K. [VTT Communities and Infrastructure, Espoo (Finland)

1996-12-31

The purpose of this research is to examine the amount and the structure of direct and indirect energy consumption in connection with leisure occupations at the beginning of the 1990s and to estimate energy saving possibilities connected to these activities. The study deals with 22 activities: going to restaurants, coffee shops, cafeterias, and pubs, going to the theatre, going to the opera, going to ice-hockey matches, going to horse races, going to automobile races, domestic travel, summer cottage use, boating, jogging, cross-country skiing, downhill skiing, ski jumping, ice hockey and other ice sports, swimming in indoor pools, swimming at spas, golf, and car racing. The energy use of individual leisure activities makes up 0,02-1,86 % of Finland`s total annual household energy consumption. Total energy consumption is affected not only by the frequency of an activity but especially by the related need for transportation for an activity. Transportation makes up 20-90 % of the total energy used, and the bulk of this consumption is caused by recreation participants travelling to facilities. The proportion of energy use at the facilities is usually 10-30 %. Recreational equipment require 1-20 %, and activity-related accommodation generally 0-5 % of the total. Activities can be compared to each other on the basis of how much energy is used in one event. By individual choice, consumption related to travel and equipment can be minimized the most. However, individuals have little possibility of influencing the amount of energy used at leisure facilities. (85 refs.)

Residential Energy Consumption Survey: Quality Profile

Energy Technology Data Exchange (ETDEWEB)

NONE

1996-03-01

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

Energy Beverage Consumption Among Naval Aviation Candidates.

Science.gov (United States)

Sather, Thomas E; Delorey, Donald R

2016-06-01

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

The impact of financial development on energy consumption in emerging economies

International Nuclear Information System (INIS)

Sadorsky, Perry

2010-01-01

Financial development is often cited as a very important driver of economic growth in emerging economies and it is thus likely that financial development affects energy demand. This study uses generalized method of moments estimation techniques to examine the impact of financial development on energy consumption in a sample of emerging countries. Several different measures of financial development are examined. Using a panel data set on 22 emerging countries covering the period 1990-2006, the empirical results show a positive and statistically significant relationship between financial development and energy consumption when financial development is measured using stock market variables like stock market capitalization to GDP, stock market value traded to GDP, and stock market turnover. The implications of these results for energy policy are discussed.

An Experimental Study of Energy Consumption in Buildings Providing Ancillary Services

Energy Technology Data Exchange (ETDEWEB)

Lin, Yashen [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Afshari, Sina [University of Michigan; Wolfe, John [University of Michigan; Nazir, Md Salman [University of Michigan; Hiskens, Ian A. [University of Michigan; Johnson, Jeremiah X. [University of Michigan; Mathieu, Johanna L. [University of Michigan; Barnes, Arthur K. [Los Alamos National Laboratory; Geller, Drew A. [Los Alamos National Laboratory; Backhaus, Scott N. [Los Alamos National Laboratory

2017-10-03

Heating, ventilation, and air conditioning (HVAC) systems in commercial buildings can provide ancillary services (AS) to the power grid, but by providing AS their energy consumption may increase. This inefficiency is evaluated using round-trip efficiency (RTE), which is defined as the ratio between the decrease and the increase in the HVAC system's energy consumption compared to the baseline consumption as a result of providing AS. This paper evaluates the RTE of a 30,000 m2 commercial building providing AS. We propose two methods to estimate the HVAC system's settling time after an AS event based on temperature and the air flow measurements from the building. Experimental data gathered over a 4-month period are used to calculate the RTE for AS signals of various waveforms, magnitudes, durations, and polarities. The results indicate that the settling time estimation algorithm based on the air flow measurements obtains more accurate results compared to the temperature-based algorithm. Further, we study the impact of the AS signal shape parameters on the RTE and discuss the practical implications of our findings.

State of Energy Consumption and CO2 Emission in Bangladesh

International Nuclear Information System (INIS)

Azad, Abul K.; Nashreen, S.W.; Sultana, J.

2006-01-01

Carbon dioxide (CO 2 ) is one of the most important gases in the atmosphere, and is necessary for sustaining life on Earth. It is also considered to be a major greenhouse gas contributing to global warming and climate change. In this article, energy consumption in Bangladesh is analyzed and estimates are made of CO 2 emission from combustion of fossil fuel (coal, gas, petroleum products) for the period 1977 to 1995. International Panel for Climate Change guidelines for national greenhouse gas inventories were used in estimating CO 2 emission. An analysis of energy data shows that the consumption of fossil fuels in Bangladesh is growing by more than 5% per year. The proportion of natural gas in total energy consumption is increasing, while that of petroleum products and coal is decreasing. The estimated total CO 2 release from all primary fossil fuels used in Bangladesh amounted to 5,072 Gg in 1977, and 14,423 Gg in 1995. The total amounts of CO 2 released from petroleum products, natural gas, and coal in the period 1977-1995 were 83,026 Gg (50% of CO 2 emission), 72,541 Gg (44% of CO 2 emission), and 9,545 Gg (6% CO 2 emission), respectively. A trend in CO 2 emission with projections to 2070 is generated. In 2070, total estimated CO 2 emission will be 293,260 Gg with a current growth rate of 6.34%/y. CO 2 emission from fossil fuels is increasing. Petroleum products contribute the majority of CO 2 emission load, and although the use of natural gas is increasing rapidly, its contribution to CO 2 emission is less than that of petroleum products. The use of coal as well as CO 2 emission from coal is expected to gradually decrease

Estimation of main greenhouse gases emission from household energy consumption in the West Bank, Palestine

International Nuclear Information System (INIS)

Abu-Madi, Maher; Rayyan, Ma'moun Abu

2013-01-01

The main GHGs (CO 2 , NO x , and SO 2 ) have been quantified based on national energy and population statistics. The results show that the contribution of households' energy consumption in the West Bank to global CO 2 emission is about 0.016%, while contribution of total energy consumption by all sectors is about 0.041%. The results show that wood is the most polluting energy source in terms of CO 2 and NO x emission, while electricity is the most polluting source in terms of SO 2 . Other sources like diesel, kerosene, and LPG that contribute to the GHGs emission are also quantified. The total amounts of CO 2 , NO x , and SO 2 by households in the West Bank are 4.7 million tonne per year, 3.02 thousand tonne per year, and 2.23 thousand tonne per year respectively. This study presents a set of measures that might help in reducing the level of GHGs emission and protect the environment. -- Highlights: •We quantified the CO 2 , NO x , and SO 2 based on national statistics. •Wood is the most polluting in terms of CO 2 and NO x emission. •Electricity is the most polluting in terms of SO 2 emission. •Households' energy consumption contributes with 0.016% to global CO 2 emission. •We present key measures to reduce GHGs emission and protect the environment. -- The most polluting energy sources that produce most of the CO 2 and SO 2 emissions in the West Bank are wood and electricity

Energy sustainability: consumption, efficiency, and ...

Science.gov (United States)

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

Exploring energy consumption and demand in China

International Nuclear Information System (INIS)

Fan, Ying; Xia, Yan

2012-01-01

China has been experiencing industrialization and urbanization since reform and opening of its economy in 1978. Energy consumption in the country has featured issues such as a coal-dominated energy mix, low energy efficiency and high emissions. Thus, it is of great importance to explore the factors driving the increase in energy consumption in the past two decades and estimate the potential for decreasing energy demands in the future. In this paper a hybrid energy input–output model is used to decompose driving factors to identify how these factors impact changes in energy intensity. A modified RAS approach is applied to project energy requirements in a BAU scenario and an alternative scenario. The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. Energy demand in China will continue to increase at a rapid rate if the economy develops as in the past decades, and is projected to reach 4.7 billion tce in 2020. However, the huge potential for a decrease cannot be neglected, since growth could be better by adjusting the energy mix and industrial structure and enhancing technology improvements. The total energy demand could be less than 4.0 billion tce in 2020. -- Highlights: ► In this paper a hybrid energy input–output model is used to decompose driving factors to China’s energy intensity change. ► A modified RAS approach is applied to project energy requirements in China. ► The results show that energy input mix, industry structure and technology improvements have major influences on energy demand. ► Energy demand in China will reach 4.7 billion ton in 2020 if the economy develops as in the past decades. ► There is a huge potential for a decrease of energy demand by adjusting the energy mix and industrial structure and enhancing technology improvements.

Hypercoagulability after energy drink consumption.

Science.gov (United States)

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

2015-12-01

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

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 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

End use energy consumption data base: transportation sector

Energy Technology Data Exchange (ETDEWEB)

Hooker, J.N.; Rose, A.B.; Greene, D.L.

1980-02-01

The transportation fuel and energy use estimates developed a Oak Ridge National Laboratory (ORNL) for the End Use Energy Consumption Data Base are documented. The total data base contains estimates of energy use in the United States broken down into many categories within all sectors of the economy: agriculture, mining, construction, manufacturing, commerce, the household, electric utilities, and transportation. The transportation data provided by ORNL generally cover each of the 10 years from 1967 through 1976 (occasionally 1977 and 1978), with omissions in some models. The estimtes are broken down by mode of transport, fuel, region and State, sector of the economy providing transportation, and by the use to which it is put, and, in the case of automobile and bus travel, by the income of the traveler. Fuel types include natural gas, motor and aviation gasoline, residual and diesel oil, liuqefied propane, liquefied butane, and naphtha- and kerosene-type jet engine fuels. Electricity use is also estimated. The mode, fuel, sector, and use categories themselves subsume one, two, or three levels of subcategories, resulting in a very detailed categorization and definitive accounting.

Minimizing the Energy Consumption in ‎Wireless Sensor Networks

Directory of Open Access Journals (Sweden)

Mohammed Saad Talib

2017-12-01

Full Text Available Energy in Wireless Sensor networks (WSNs represents an essential factor in designing, controlling and operating the sensor networks. Minimizing the consumed energy in WSNs application is a crucial issue for the network effectiveness and efficiency in terms of lifetime, cost and operation. Number of algorithms and protocols were proposed and implemented to decrease the energy consumption. WSNs operate with battery powered sensors. Sensors batteries have not easily rechargeable even though having restricted power. Frequently the network failure occurs due to the sensors energy insufficiency. MAC protocols in WSNs achieved low duty-cycle by employing periodic sleep and wakeup. Predictive Wakeup MAC (PW-MAC protocol was made use of the asynchronous duty cycling. It reduces the consumption of the node energy by allowing the senders to predict the receiver′s wakeup times. The WSN must be applied in an efficient manner to utilize the sensor nodes and their energy to ensure efficient network throughput. Prediction of the WSN lifetime previously to its installation represents a significant concern. To ensure energy efficiency the sensors duty cycles must be adjusted appropriately to meet the network traffic demands. The energy consumed in each node due to its switching between the active and the idle states were also estimated. The sensors are assumed to be randomly deployed. This paper aims to improve the randomly deployed network lifetime by scheduling the effects of transmission, reception and sleep states on the sensor node energy consumption. Results for these states with many performance metrics were also studied and discussed

Estimating broad-brush rebound effects for household energy consumption in the EU 28 countries and Norway: some policy implications of Odyssee data

International Nuclear Information System (INIS)

Galvin, Ray

2014-01-01

Currently there is a strong policy commitment in European Union (EU) and Organisation for Economic Co-operation and Development (OECD) countries to increase the energy efficiency of residential buildings, and it is widely assumed that this will naturally and automatically reduce domestic energy consumption. However, other factors such as fuel prices, wages, attitudes and lifestyles also influence energy consumption. This paper calculates broad-brush rebound effects based on changes in energy efficiency and energy consumption in each of the 28 EU countries plus Norway, for the years 2000–2011. In doing so, it tests how well the assumption of energy efficiency leading to energy reduction stands up to scrutiny in these lands. It uses the EU’s Odyssee database for efficiency and consumption figures and a commonly employed econometric definition of the rebound effect as an energy-efficiency elasticity. Most older EU lands show rebound effects in the expected range of 0–50%. However, the range for newer EU countries is 100–550%, suggesting that energy efficiency increases are not a good predictor of energy consumption. A more in-depth look at one country, Germany, suggests these results underestimate the rebound effect significantly. This also identifies research needs for specific energy consumption determinants in each country, to find more precisely what is driving consumption levels. - Highlights: • Policymakers frequently link energy efficiency gains with energy consumption falls. • Household energy rebound effects are calculated for EU lands using Odyssee data. • Most older EU lands show results in the range of 0–50% but newer lands show 100–552%. • Energy efficiency gains are not always a reliable predictor of energy consumption. • Targeted research could explore why consumption is often so unrelated to efficiency

Energy consumption and economic growth on the focus on nuclear energy

Energy Technology Data Exchange (ETDEWEB)

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

2017-01-15

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

Energy consumption and economic growth on the focus on nuclear energy

International Nuclear Information System (INIS)

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

2017-01-01

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

Assessing the Energy Consumption of Smartphone Applications

Science.gov (United States)

Abousaleh, Mustafa M.

Mobile devices are increasingly becoming essential in people's lives. The advancement in technology and mobility factor are allowing users to utilize mobile devices for communication, entertainment, financial planning, fitness tracking, etc. As a result, mobile applications are also becoming important factors contributing to user utility. However, battery capacity is the limiting factor impacting the quality of user experience. Hence, it is imperative to understand how much energy impact do mobile apps have on the system relative to other device activities. This thesis presents a systematic studying of the energy impact of mobile apps features. Time-series electrical current measurements are collected from 4 different modern smartphones. Statistical analysis methodologies are used to calculate the energy impact of each app feature by identifying and extracting mobile app-feature events from the overall current signal. In addition, the app overhead energy costs are also computed. Total energy consumption equations for each component is developed and an overall total energy consumption equation is presented. Minutes Lost (ML) of normal phone operations due to the energy consumption of the mobile app functionality is computed for cases where the mobile app is simulated to run on the various devices for 30 minutes. Tutela Technologies Inc. mobile app, NAT, is used for this study. NAT has two main features: QoS and Throughput. The impact of the QoS feature is indistinguishable, i.e. ML is zero, relative to other phone activities. The ML with only the TP feature enabled is on average 2.1 minutes. Enabling the GPS increases the ML on average to 11.5 minutes. Displaying the app GUI interface in addition to running the app features and enabling the GPS results in an average ML of 12.4 minutes. Amongst the various mobile app features and components studied, the GPS consumes the highest amount of energy. It is estimated that the GPS increases the ML by about 448%.

Development of a Trip Energy Estimation Model Using Real-World Global Positioning System Driving Data: Preprint

Energy Technology Data Exchange (ETDEWEB)

Holden, Jacob [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Wood, Eric W [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Zhu, Lei [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Gonder, Jeffrey D [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Tian, Ye [Metropia, Inc.

2017-09-15

A data-driven technique for estimation of energy requirements for a proposed vehicle trip has been developed. Based on over 700,000 miles of driving data, the technique has been applied to generate a model that estimates trip energy requirements. The model uses a novel binning approach to categorize driving by road type, traffic conditions, and driving profile. The trip-level energy estimations can easily be aggregated to any higher-level transportation system network desired. The model has been tested and validated on the Austin, Texas, data set used to build this model. Ground-truth energy consumption for the data set was obtained from Future Automotive Systems Technology Simulator (FASTSim) vehicle simulation results. The energy estimation model has demonstrated 12.1 percent normalized total absolute error. The energy estimation from the model can be used to inform control strategies in routing tools, such as change in departure time, alternate routing, and alternate destinations, to reduce energy consumption. The model can also be used to determine more accurate energy consumption of regional or national transportation networks if trip origin and destinations are known. Additionally, this method allows the estimation tool to be tuned to a specific driver or vehicle type.

Analysis of the Potential Impacts on China’s Industrial Structure in Energy Consumption

Directory of Open Access Journals (Sweden)

Yushen Tian

2017-12-01

Full Text Available Industrial structure is one of the main factors that determine energy consumption. Based on China’s energy consumption in 2015 and the goals in 13th Five-Year Plan for Economic and Social Development of the People’s Republic of China (The 13th Five-Year Plan, this paper established an input–output fuzzy multi-objective optimization model to estimate the potential impacts of China’s industrial structure on energy consumption in 2015. Results showed that adjustments to industrial structure could save energy by 19% (1129.17 million ton standard coal equivalent (Mtce. Second, China’s equipment manufacturing industry has a large potential to save energy. Third, the development of several high energy intensive and high carbon intensive sectors needs to be strictly controlled, including Sector 25 (electricity, heat production, and supply industry, Sector 11 (manufacture of paper and stationery, printing, and Sector 14 (non-metallic mineral products industry. Fourth, the territory industry in China has a great potential for energy saving, while its internal structure still needs to be upgraded. Finally, we provide policy suggestions that may be adopted to reduce energy consumption by adjusting China’s industrial structure.

Optimal Energy Consumption Analysis of Natural Gas Pipeline

Science.gov (United States)

Liu, Enbin; Li, Changjun; Yang, Yi

2014-01-01

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

The effects of the energy price reform on households consumption in Iran

International Nuclear Information System (INIS)

Moshiri, Saeed

2015-01-01

The substantial subsidizing of energy prices over the years has led to high energy consumption, inefficiencies, fiscal pressures, and environmental problems in Iran. To address the increasing socio-economic problems associated with the energy subsidies, the government embarked on an aggressive energy price reform through which energy subsidies were removed and cash handouts were given to all households in 2010. In this paper, I analyze the effectiveness of the energy price reform in Iran by estimating energy demand elasticities for households in different income groups. I apply a two-stage consumer optimization model and estimate the system of energy expenditures shares using the household budget survey data for the period 2001–2008. The results show that the overall price elasticities of demand are small, but income elasticities are close to one. The results also indicate heterogeneous responses to energy price and income changes in different income groups. Specifically, the urban households show stronger response to price changes, but rural households, particularly mid-income households, to income changes. These findings suggest that the current policy of price increases would not solely be able to reduce energy consumption and, therefore, it should be geared towards increasing energy efficiency through a series of price and non-price measures. - Highlights: • The effectiveness of the recent energy price reform in Iran is analyzed. • Energy demand elasticities for households in different income groups are estimated. • A two-stage optimization model was applied to estimate the system of equations using micro-data for 2001–2008. • The price elasticities are small and income elasticities rather large, but responses are heterogeneous. • A price and non-price reform policy package is needed for different income groups and regions

Bounds test approach to cointegration and causality between nuclear energy consumption and economic growth in India

International Nuclear Information System (INIS)

Wolde-Rufael, Yemane

2010-01-01

This paper attempts to examine the dynamic relationship between economic growth, nuclear energy consumption, labor and capital for India for the period 1969-2006. Applying the bounds test approach to cointegration developed by we find that there was a short- and a long-run relationship between nuclear energy consumption and economic growth. Using four long-run estimators we also found that nuclear energy consumption has a positive and a statistically significant impact on India's economic growth. Further, applying the approach to Granger causality and the variance decomposition approach developed by , we found a positive and a significant uni-directional causality running from nuclear energy consumption to economic growth without feedback. This implies that economic growth in India is dependent on nuclear energy consumption where a decrease in nuclear energy consumption may lead to a decrease in real income. For a fast growing energy-dependent economy this may have far-reaching implications for economic growth. India's economic growth can be frustrated if energy conservation measures are undertaken without due regard to the negative impact they have on economic growth.

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

International Nuclear Information System (INIS)

Danielewski, J.

1993-01-01

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

A method for evaluating transport energy consumption in suburban areas

Energy Technology Data Exchange (ETDEWEB)

Marique, Anne-Francoise, E-mail: afmarique@ulg.ac.be; Reiter, Sigrid, E-mail: Sigrid.Reiter@ulg.ac.be

2012-02-15

Urban sprawl is a major issue for sustainable development. It represents a significant contribution to energy consumption of a territory especially due to transportation requirements. However, transport energy consumption is rarely taken into account when the sustainability of suburban structures is studied. In this context, the paper presents a method to estimate transport energy consumption in residential suburban areas. The study aimed, on this basis, at highlighting the most efficient strategies needed to promote awareness and to give practical hints on how to reduce transport energy consumption linked to urban sprawl in existing and future suburban neighborhoods. The method uses data collected by using empirical surveys and GIS. An application of this method is presented concerning the comparison of four suburban districts located in Belgium to demonstrate the advantages of the approach. The influence of several parameters, such as distance to work places and services, use of public transport and performance of the vehicles, are then discussed to allow a range of different development situations to be explored. The results of the case studies highlight that traveled distances, and thus a good mix between activities at the living area scale, are of primordial importance for the energy performance, whereas means of transport used is only of little impact. Improving the performance of the vehicles and favoring home-work give also significant energy savings. The method can be used when planning new areas or retrofitting existing ones, as well as promoting more sustainable lifestyles regarding transport habits. - Highlights: Black-Right-Pointing-Pointer The method allows to assess transport energy consumption in suburban areas and highlight the best strategies to reduce it. Black-Right-Pointing-Pointer Home-to-work travels represent the most important part of calculated transport energy consumption. Black-Right-Pointing-Pointer Energy savings can be achieved by

Understanding change and continuity in residential energy consumption

DEFF Research Database (Denmark)

Gram-Hanssen, Kirsten

2011-01-01

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

Quantification of variables that affect energy consumption

International Nuclear Information System (INIS)

Warren, C.S.

1993-01-01

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

Calculations of energy consumption in ventilation systems

Energy Technology Data Exchange (ETDEWEB)

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

2011-07-01

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

Decoupling of industrial energy consumption and CO2-emissions in energy-intensive industries in Scandinavia

International Nuclear Information System (INIS)

Enevoldsen, Martin K.; Ryelund, Anders V.; Andersen, Mikael Skou

2007-01-01

As methodology the ex-post analysis deserves more attention as a device to calibrate energy sector models. This paper studies the impact of energy prices and taxes on energy efficiency and carbon emissions of ten industrial sectors in the three Scandinavian countries. A database with sector-specific energy prices and taxes has been established, which allows the analysis to take various price reductions and tax exemptions better into account. A translog factor demand system estimation for a cross industry pooled model is explored and fixed effects across industries and time is estimated. The findings here confirm recent analyses which indicate higher long-term elasticities for industries than normally assumed in Scandinavian energy-sector models. With the observations on differences in energy-intensities among sectors and countries the findings allow for some optimism as to the opportunities for further decoupling between trends in gross value added, carbon emissions and energy consumption

Sector review of UK higher education energy consumption

International Nuclear Information System (INIS)

Ward, Ian; Ogbonna, Anthony; Altan, Hasim

2008-01-01

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

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.

Minimum energy consumption process synthesis for energy saving

Energy Technology Data Exchange (ETDEWEB)

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

2008-05-15

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

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

Science.gov (United States)

Poulos, Natalie S.; Pasch, Keryn E.

2016-01-01

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

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.

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.

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...

Consumption of Caffeinated Energy Drinks Among Youth and Young Adults in Canada.

Science.gov (United States)

Reid, Jessica L; McCrory, Cassondra; White, Christine M; Martineau, Chantal; Vanderkooy, Pat; Fenton, Nancy; Hammond, David

2017-03-01

The growing market for caffeinated energy drinks (CEDs) has caused concern about excessive caffeine intake and potential adverse effects, particularly among young people. The current study examined patterns of CED consumption among youth and young adults in Canada, using data from a national online survey conducted in October 2014. Data from a non-probability sample of 2040 respondents aged 12-24 from a consumer panel was weighted to national proportions; measures of CED consumption were estimated, including prevalence, excessive daily consumption, and context for use (locations and reasons). Separate logistic regression models for two outcomes, past-week consumption and "ever" exceeding two energy drinks in a day (as per common guidance), were conducted to examine associations with demographic variables (sex, age, geographic region, race/ethnicity, and language). Overall, 73.6% of respondents reported "ever" consuming energy drinks; 15.6% had done so in the past week. Any consumption of energy drinks in the past week was more prevalent among males, Aboriginal respondents (vs. white only or mixed/other), and residents of British Columbia. Among "ever-consumers," 16.0% reported ever consuming more than two energy drinks in a day. Exceeding two in a day was more prevalent among older respondents (young adults aged 18-24), aboriginal respondents (vs. white only), and British Columbia residents. While the majority of youth and young adults had consumed energy drinks, about half were "experimental" consumers (i.e., consumed ≤ 5 drinks in their lifetime). Approximately one in six consumers had exceeded the usual guidance for maximum daily consumption, potentially increasing their risk of experiencing adverse effects.

CAUSAL RELATIONSHIP BETWEEN ENERGY CONSUMPTION, ECONOMIC GROWTH AND CO2 EMISSIONS: A DYNAMIC PANEL DATA APPROACH

Directory of Open Access Journals (Sweden)

Chaido Dritsaki

2014-04-01

Full Text Available Energy plays an important role in economic development worldwide. The increase of energy consumption showed that CO2 emissions in the atmosphere have increased dramatically, and these lead many scientists to push governments of the developing countries to take action for the formulation of environmental policies. Many studies have attempted to look for the direction of causality between energy consumption (EC, economic growth (GDP and CO2 emissions mainly on developing countries. This paper, therefore, applies the panel unit root tests, panel cointegration methods and panel causality test to investigate the relationship between energy consumption (EC, economic growth (GDP and CO2 emissions for three countries of Southern Europe (Greece, Spain, and Portugal covering the annual period 1960-2009. The FMOLS and DOLS are then used to estimate the long run relationship between the variables. The findings of this study reveal that there is a short-run bilateral causal link between the examined variables. However, in the long run, there is a unidirectional causality running from CO2 emissions to energy consumption (EC, and economic growth (GDP and a bilateral causality between energy consumption and economic growth. This indicates that energy is a force for economic growth both in short and long run as it is driven from economic growth. Moreover, to face the heterogeneity on the three countries of Southern Europe we use the FMOLS and DOLS estimation methods.

Global risks from energy consumption

International Nuclear Information System (INIS)

von Hippel, F.

1983-01-01

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

Quantification of Uncertainty in Predicting Building Energy Consumption

DEFF Research Database (Denmark)

Brohus, Henrik; Frier, Christian; Heiselberg, Per

2012-01-01

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

Coupling model of energy consumption with changes in environmental utility

International Nuclear Information System (INIS)

He Hongming; Jim, C.Y.

2012-01-01

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

On the relationship between energy consumption, CO{sub 2} emissions and economic growth in Europe

Energy Technology Data Exchange (ETDEWEB)

Acaravci, Ali [Faculty of Economics and Administrative Sciences, Mustafa Kemal University, Antakya-Hatay (Turkey); Ozturk, Ilhan [Faculty of Economics and Administrative Sciences, Cag University, 33800, Mersin (Turkey)

2010-12-15

This study examines the causal relationship between carbon dioxide emissions, energy consumption, and economic growth by using autoregressive distributed lag (ARDL) bounds testing approach of cointegration for nineteen European countries. The bounds F-test for cointegration test yields evidence of a long-run relationship between carbon emissions per capita, energy consumption per capita, real gross domestic product (GDP) per capita and the square of per capita real GDP only for Denmark, Germany, Greece, Iceland, Italy, Portugal and Switzerland. The cumulative sum and cumulative sum of squares tests also show that the estimated parameters are stable for the sample period. We found a positive long-run elasticity estimate of emissions with respect to energy consumption at 1% significant level in Denmark, Germany, Greece, Italy and Portugal. Positive long-run elasticity estimates of carbon emissions with respect to real GDP and the negative long-run elasticity estimates of carbon emissions with respect to the square of per capita real GDP at 1% significance level in Denmark and 5% significant level in Italy are also found. These results support that the validity of environmental Kuznets curve (EKC) hypothesis in Denmark and Italy. This study also explores causal relationship between the variables by using error-correction based Granger causality models. (author)

PARADOX OF ALTERNATIVE ENERGY CONSUMPTION: LEAN OR PROFLIGACY?

Directory of Open Access Journals (Sweden)

Eliza Safina

2017-12-01

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

Energy Consumption of Fast Ferries in Danish Domestic Transport

DEFF Research Database (Denmark)

Petersen, Morten Steen; Jørgensen, Kaj

1997-01-01

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

Uncertainty of Energy Consumption Assessment of Domestic Buildings

DEFF Research Database (Denmark)

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

2009-01-01

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

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%.

Energy balance of forage consumption by phyllophagous insects: optimization model

Directory of Open Access Journals (Sweden)

O. V. Tarasova

2015-06-01

Full Text Available The model of optimal food consumption by phytophagous insects proposed, in which the metabolic costs are presented in the form of two components – the cost of food utilization and costs for proper metabolism of the individuals. Two measures were introduced – the «price» of food conversion and the «price» of biomass synthesis of individuals to assess the effectiveness of food consumption by caterpillars. The proposed approach to the description of food consumption by insects provides the exact solutions of the equation of energy balance of food consumption and determining the effectiveness of consumption and the risk of death of the individual. Experiments on larvae’s feeding in laboratory conditions were carried out to verify the model. Caterpillars of Aporia crataegi L. (Lepidoptera, Pieridae were the research subjects. Supply­demand balance, calculated value of the environmental price of consumption and efficiency of food consumption for each individual were determined from experimental data. It was found that the fertility of the female does not depend on the weight of food consumed by it, but is linearly dependent on the food consumption efficiency index. The greater the efficiency of food consumption by an individual, the higher its fertility. The data obtained in the course of experiments on the feeding caterpillars Aporia crataegi were compared with the data presented in the works of other authors and counted in the proposed model of consumption. Calculations allowed estimation of the critical value of food conversion price below which the energy balance is negative and the existence of an individual is not possible.

Can urban rail transit curb automobile energy consumption?

International Nuclear Information System (INIS)

Lin, Boqiang; Du, Zhili

2017-01-01

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

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

Science.gov (United States)

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

2015-01-01

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

Panel estimation for CO2 emissions, energy consumption, economic growth, trade openness and urbanization of newly industrialized countries

International Nuclear Information System (INIS)

Sharif Hossain, Md.

2011-01-01

This paper empirically examines the dynamic causal relationships between carbon dioxide emissions, energy consumption, economic growth, trade openness and urbanization for the panel of newly industrialized countries (NIC) using the time series data for the period 1971-2007. Using four different panel unit root tests it is found that all panel variables are integrated of order 1. From the Johansen Fisher panel cointegration test it is found that there is a cointegration vector among the variables. The Granger causality test results support that there is no evidence of long-run causal relationship, but there is unidirectional short-run causal relationship from economic growth and trade openness to carbon dioxide emissions, from economic growth to energy consumption, from trade openness to economic growth, from urbanization to economic growth and from trade openness to urbanization. It is found that the long-run elasticity of carbon dioxide emissions with respect to energy consumption (1.2189) is higher than short run elasticity of 0.5984. This indicates that over time higher energy consumption in the newly industrialized countries gives rise to more carbon dioxide emissions as a result our environment will be polluted more. But in respect of economic growth, trade openness and urbanization the environmental quality is found to be normal good in the long-run. - Highlights: → Dynamic causal relationships are conducted for different panel variables of NIC. → Test results support only existence of unidirectional short-run causal relationships. → Environment will be polluted more due to energy consumption in the long-run. → But environmental quality is found to be normally good in respect of other variables. → NIC should use solar energy as the substitute of oil to control CO 2 emissions.

Consumption of Caffeinated Energy Drinks Among Youth and Young Adults in Canada

Directory of Open Access Journals (Sweden)

Jessica L. Reid, MSc

2017-03-01

Full Text Available The growing market for caffeinated energy drinks (CEDs has caused concern about excessive caffeine intake and potential adverse effects, particularly among young people. The current study examined patterns of CED consumption among youth and young adults in Canada, using data from a national online survey conducted in October 2014. Data from a non-probability sample of 2040 respondents aged 12–24 from a consumer panel was weighted to national proportions; measures of CED consumption were estimated, including prevalence, excessive daily consumption, and context for use (locations and reasons. Separate logistic regression models for two outcomes, past-week consumption and “ever” exceeding two energy drinks in a day (as per common guidance, were conducted to examine associations with demographic variables (sex, age, geographic region, race/ethnicity, and language. Overall, 73.6% of respondents reported “ever” consuming energy drinks; 15.6% had done so in the past week. Any consumption of energy drinks in the past week was more prevalent among males, Aboriginal respondents (vs. white only or mixed/other, and residents of British Columbia. Among “ever-consumers,” 16.0% reported ever consuming more than two energy drinks in a day. Exceeding two in a day was more prevalent among older respondents (young adults aged 18–24, aboriginal respondents (vs. white only, and British Columbia residents. While the majority of youth and young adults had consumed energy drinks, about half were “experimental” consumers (i.e., consumed ≤5 drinks in their lifetime. Approximately one in six consumers had exceeded the usual guidance for maximum daily consumption, potentially increasing their risk of experiencing adverse effects.

The impacts of tourism, energy consumption and political instability on economic growth in the MENA countries

International Nuclear Information System (INIS)

Tang, Chor Foon; Abosedra, Salah

2014-01-01

Using panel data of 24 countries in the Middle East and North African (MENA) region from 2001 to 2009, the purpose of this study is to examine the impacts of tourism, energy consumption and political instability on economic growth within the neoclassical growth framework. To address the objective of this study, we utilise both the static panel data approach as well as the dynamic generalised method of moments (GMM) estimator to examine the impact of candidate variables. Our results show that energy consumption and tourism significantly contribute to the economic growth of countries in the MENA region. Hence, our study lends some support to the existence of the tourism-led growth and energy-led growth hypotheses in the region. In line with our expectation, our estimation results also reveal that political instability impedes the process of economic growth and development in the MENA region. Therefore, macroeconomic policies to promote expansion in tourism and energy consumption will directly stimulate economic growth. Additionally, efforts to help the region overcome its history of political instability would attract more international tourist arrivals and further invigorate economic growth. - Highlights: • Tourism and energy consumption have positive impacts on GDP growth. • GDP reacts negatively to political instability. • Energy-led growth and tourism-led growth hypotheses are validated in MENA countries. • Supporting tourism, energy use and political stability will enhance economic growth

Energy Consumption and Economic Growth in Vietnam: Threshold Cointegration and Causality Analysis

Directory of Open Access Journals (Sweden)

BINH Thanh PHUNG

2011-01-01

Full Text Available This study investigates the energy consumption-growth nexus in Vietnam. The causal relationship between the logarithm of per capita energy consumption (LPCEC and the logarithm of per capita GDP (LPCGDP during the 1976-2010 period is examined using the threshold cointegration and vector error correction models for Granger causality tests. The estimation results indicate that the LPCEC and LPCGDP for Vietnam are cointegrated and that there is a strong uni-directional causality running from LPCGDP to LPCEC, but not vice versa. It is also found that the effect of LPCGDP on LPCEC in Vietnam is time-varying (i.e. significantly different between before and after the structural breakpoint, 1992. The research results strongly support the neoclassical perspective that energy consumption is not a limiting factor to economic growth in Vietnam. Accordingly, an important policy implication resulting from this analysis is that government can pursue the conservation energy policies that aim at curtailing energy use for environmental friendly development purposes without creating severe effects on economic growth. In future, the energy should be efficiently allocated into more productive sectors of the economy.

Nuclear energy consumption and economic growth in nine developed countries

International Nuclear Information System (INIS)

Wolde-Rufael, Yemane; Menyah, Kojo

2010-01-01

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

Integrated Urban System and Energy Consumption Model: Public and Singular Buildings

Directory of Open Access Journals (Sweden)

Rocco Papa

2014-05-01

Full Text Available The present paper illustrates the results of the first steps of a study on one aspect investigated as the preliminary step of the definition of the analysis - comprehension model of the relation between: city, buildings, and user behavior, for the reduction of energy consumption within the research project “Smart Energy Master” for the energetic governance of the territory (PON_MIUR n. pos. 04a2_00120 CUP Ricerca: E61H12000130005, at the Department of Civil, Building and Environmental Engineering - University of Naples Federico II, principal investigator prof. Carmela Gargiulo.Specifically the literary review aimed at determining if, and in what measure, the presence of public and singular buildings is present in the energy consumption estimate models,  proposed by the scientific community, for the city or neighborhood scale.The difficulties in defining the weight of these singular buildings on the total energy consumption and the impossibility to define mean values that are significant for all subsets and different types as well as for each one, have forced model makers to either ignore them completely or chose a portion of this specific stock to include.

Generalized Scaling of Urban Heat Island Effect and Its Applications for Energy Consumption and Renewable Energy

Directory of Open Access Journals (Sweden)

T.-W. Lee

2014-01-01

Full Text Available In previous work from this laboratory, it has been found that the urban heat island intensity (UHI can be scaled with the urban length scale and the wind speed, through the time-dependent energy balance. The heating of the urban surfaces during the daytime sets the initial temperature, and this overheating is dissipated during the night-time through mean convection motion over the urban surface. This may appear to be in contrast to the classical work by Oke (1973. However, in this work, we show that if the population density is used in converting the population data into urbanized area, then a good agreement with the current theory is found. An additional parameter is the “urban flow parameter,” which depends on the urban building characteristics and affects the horizontal convection of heat due to wind. This scaling can be used to estimate the UHI intensity in any cities and therefore predict the required energy consumption during summer months. In addition, all urbanized surfaces are expected to exhibit this scaling, so that increase in the surface temperature in large energy-consumption or energy-producing facilities (e.g., solar electric or thermal power plants can be estimated.

Energy Consumption Management of Virtual Cloud Computing Platform

Science.gov (United States)

Li, Lin

2017-11-01

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

Intelligent Cooperative MAC Protocol for Balancing Energy Consumption

Science.gov (United States)

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

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

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

Directory of Open Access Journals (Sweden)

Merve Bedir

2017-11-01

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

The Use of Fire Radiative Power to Estimate the Biomass Consumption Coefficient for Temperate Grasslands in the Atlantic Forest Biome

Directory of Open Access Journals (Sweden)

Bibiana Salvador Cabral da Costa

Full Text Available Abstract Every year, many active fire spots are identified in the satellite images of the southern Brazilian grasslands in the Atlantic Forest biome and Pampa biome. Fire Radiative Power (FRP is a technique that uses remotely sensed data to quantify burned biomass. FRP measures the radiant energy released per time unit by burning vegetation. This study aims to use satellite and field data to estimate the biomass consumption rate and the biomass consumption coefficient for the southern Brazilian grasslands. Three fire points were identified in satellite FRP products. These data were combined with field data, collected through literature review, to calculate the biomass consumption coefficient. The type of vegetation is an important variable in the estimation of the biomass consumption coefficient. The biomass consumption rate was estimated to be 2.237 kg s-1 for the southern Brazilian grasslands in Atlantic Forest biome, and the biomass consumption coefficient was estimated to be 0.242 kg MJ-1.

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,...

Energy consumption and income. A semiparametric panel data analysis

Energy Technology Data Exchange (ETDEWEB)

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

2010-05-15

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

uFLIP: Understanding the Energy Consumption of Flash Devices

DEFF Research Database (Denmark)

Bjørling, Matias; Bonnet, Philippe; Bouganim, Luc

2010-01-01

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

Energy saving and consumption reducing evaluation of thermal power plant

Science.gov (United States)

Tan, Xiu; Han, Miaomiao

2018-03-01

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

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

International Nuclear Information System (INIS)

Baumert, M.

1994-01-01

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

National fossil fuels consumption: Estimates of CO2 emissions and thermic pollution

International Nuclear Information System (INIS)

Mariani, Mario; Casale, Francesco

1997-01-01

The study on the basis of the national energy consumption from 1988 to 1994, estimates CO 2 emission rates produced by the most relevant hydrocarbons involved in the technological combustion processes and assess the potential thermic impact on the environment. Two calculation procedures have been developed taking into account once emission factors and other emission indexes in order to verify the two estimates. Besides, the work determines the national trend of CO 2 emission with regard to the aim for the stabilization of carbon dioxide emissions at 1990 levels by 2000

Cash and in-kind transfers in poor rural communities in Mexico increase household fruit, vegetable, and micronutrient consumption but also lead to excess energy consumption.

Science.gov (United States)

Leroy, Jef L; Gadsden, Paola; Rodríguez-Ramírez, Sonia; de Cossío, Teresa González

2010-03-01

Conditional transfer programs are increasingly popular, but the impact on household nutrient consumption has not been studied. We evaluated the impact of the Programa de Apoyo Alimentario (PAL), a cash and in-kind transfer program, on the energy and nutrient consumption of poor rural households in Mexico. The program has been shown to reduce poverty. Beneficiary households received either a food basket (including micronutrient-fortified milk) or cash. A random sample of 206 rural communities in Southern Mexico was randomly assigned to 1 of 4 groups: a monthly food basket with or without health and nutrition education, a cash transfer with a cost to the government equivalent to the food basket (14 USD/mo) with education, or control. The impact after 14 mo of exposure was estimated in a panel of 5823 households using a double difference regression model with household fixed effects. PAL was associated with increases (P consumption of total energy (5-9%), energy from fruits and vegetables (24-28%), and energy from animal source foods (24-39%). It also affected iron, zinc, and vitamin A and C consumption (P consumption of energy and all nutrients was greater in the food basket group (P energy-deficient should be carefully redesigned to ensure that pulling poor families out of poverty leads to improved micronutrient intake but not to increased energy consumption.

The impact of glazing on energy consumption and comfort

International Nuclear Information System (INIS)

Stegou-Sagia, A.; Antonopoulos, K.; Angelopoulou, C.; Kotsiovelos, G.

2007-01-01

Given the importance of buildings on the energy balance in Greece, an attempt has been made to study their energy behaviour and thermal comfort. Our primary purpose is to provide an estimation of the building's energy consumption and examine how this affects the comfort conditions. This includes the definition of thermal conditions acceptable for various activities at different times of day during each month of the year. We cannot underestimate the value of real measurements and observations of the building's energy systems, but such data are not always available. The best opportunities for improving energy performance occur early in the design process. Our simulation results can give an indication on which end uses are the most energy consuming, the 'weaknesses' of a building and thus urge the owner or engineer to take effective conservation energy measures

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.

Energy-efficient power allocation of two-hop cooperative systems with imperfect channel estimation

KAUST Repository

Amin, Osama

2015-06-08

Recently, much attention has been paid to the green design of wireless communication systems using energy efficiency (EE) metrics that should capture all energy consumption sources to deliver the required data. In this paper, we formulate an accurate EE metric for cooperative two-hop systems that use the amplify-and-forward relaying scheme. Different from the existing research that assumes the availability of perfect channel state information (CSI) at the communication cooperative nodes, we assume a practical scenario, where training pilots are used to estimate the channels. The estimated CSI can be used to adapt the available resources of the proposed system in order to maximize the EE. Two estimation strategies are assumed namely disintegrated channel estimation, which assumes the availability of channel estimator at the relay, and cascaded channel estimation, where the relay is not equipped with channel estimator and only forwards the received pilot(s) in order to let the destination estimate the cooperative link. The channel estimation cost is reflected on the EE metric by including the estimation error in the signal-to-noise term and considering the energy consumption during the estimation phase. Based on the formulated EE metric, we propose an energy-aware power allocation algorithm to maximize the EE of the cooperative system with channel estimation. Furthermore, we study the impact of the estimation parameters on the optimized EE performance via simulation examples.

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

Science.gov (United States)

2010-01-01

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

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

International Nuclear Information System (INIS)

Serrano Martinez, F.

1995-01-01

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

Energy Consumption Management in Design

NARCIS (Netherlands)

Smit, Jaap

1997-01-01

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

Food consumption estimates of Barents Sea harp seals

Directory of Open Access Journals (Sweden)

Kjell T Nilssen

2004-05-01

total consumption, other gadoids (dominated by cod, but also including haddock (Melanogrammus aeglefinus and saithe (Pollachius virens, herring, and "other fish". Using the same set of assumptions as in the previous estimate, the total consumption would have been 3.47 million tonnes, divided between various prey species as follows (in tonnes: polar cod 876,000, codfish (cod, saithe and haddock 359,700, "other fish" 618,800, herring 392,500, and crustaceans 1,204,200. Overall, the largest quantities of food were estimated to be consumed in the period June-September. In 1999, the total Barents Sea harp seal stock size was estimated to be 2.18 (95% CI, 1.79 to 2.58 million animals, which would give an annual food consumption in the range of 2,69 - 3.96 million tonnes (based on upper and lower 95% confidence limits and adjusted for a pup mortality rate of 0.3 if capelin is assumed to be abundant.

Power consumption of lifts and potential for energy savings; Elektrizitaetsverbrauch und Einspar-Potenziale bei Aufzuegen

Energy Technology Data Exchange (ETDEWEB)

Nipkow, J.

2005-07-01

This final report for the Swiss Federal Office of Energy (SFOE) reviews the results of a study made on the electricity consumption of lifts, which estimates that around 0.5% of Swiss power consumption is caused by lift installations. The results of measurements made on 33 various lift installations and their power consumption are presented. The SIA 380/4 model used to determine energy consumption on the basis of the number of movements is described. Stand-by and lighting consumption is examined, which, according to the authors' conclusions, offer considerable room for improvement, especially for lifts in residential buildings. A further significant potential for improvement is also noted which can be achieved when renewing older systems. The avoidance of inefficient concepts by the use of guidelines for architects, planners and customers is recommended.

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...

Energy consumption for shortcuts to adiabaticity

Science.gov (United States)

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

2017-08-01

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

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

Energy Technology Data Exchange (ETDEWEB)

Guerra Santin, O.

2010-10-19

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

Analyzing Long-run Relationship between Energy Consumption and Economic Growth in the Kingdom of Bahrain

Directory of Open Access Journals (Sweden)

Naser Hanan

2017-01-01

Full Text Available Since the relation between energy consumption and economic growth is important to design effective energy policies that will promote economic growth, this study investigates the short run dynamics and causality among energy consumption, co2 emissions, oil prices and economic growth in Kingdom of Bahrain. To do so, annual data that covers the period from 1960 till 2015. Empirical work tests for unit root, co-integration relationship using Johansen (1988 approach and then estimate both long and short run dynamics using the vector error correction model (VECM. Results indicate that there is a long-run relationship between the suggested variables. Since economic growth has a predictive power to estimate the energy demand of Kingdom of Bahrain, it is recommended that the government of Bahrain and policy designers shed the light on energy efficiency strategies and carbon emissions reduction policy in the long run without impeding economic growth in order to move towards sustainability.

Analyzing Long-run Relationship between Energy Consumption and Economic Growth in the Kingdom of Bahrain

Science.gov (United States)

Naser, Hanan

2017-11-01

Since the relation between energy consumption and economic growth is important to design effective energy policies that will promote economic growth, this study investigates the short run dynamics and causality among energy consumption, co2 emissions, oil prices and economic growth in Kingdom of Bahrain. To do so, annual data that covers the period from 1960 till 2015. Empirical work tests for unit root, co-integration relationship using Johansen (1988) approach and then estimate both long and short run dynamics using the vector error correction model (VECM). Results indicate that there is a long-run relationship between the suggested variables. Since economic growth has a predictive power to estimate the energy demand of Kingdom of Bahrain, it is recommended that the government of Bahrain and policy designers shed the light on energy efficiency strategies and carbon emissions reduction policy in the long run without impeding economic growth in order to move towards sustainability.

A system dynamics analysis of energy consumption and corrective policies in Iranian iron and steel industry

International Nuclear Information System (INIS)

Ansari, Nastaran; Seifi, Abbas

2012-01-01

Iron and steel industry is the most energy intensive industrial sector in Iran. Long time subsidized energy has led to low energy efficiency in this industry. The sudden subsidy reform of energy prices in Iran is expected to have a great impact on steel production and energy consumption. A system dynamics model is presented in this paper to analyze steel demand, production and energy consumption in an integrated framework. A co-flow structure is used to show how subsidy reform affects energy consumption in the long run. The main focus of this paper is on direct and indirect natural gas consumption in the steel industry. Scrap based Electric Arc Furnace technology has been evaluated as an energy efficient way for steel making. The energy consumption in steel industry is estimated under various steel production and export scenarios while taking into account new energy prices to see the outlook of possible energy demand in steel industry over next 20 years. For example it is shown that under reference production scenario, potential reduction in gas consumption forced by complete removal of energy subsidy and utilizing scrap could lead to 85 billion cubic meters of gas saving over the next 20 years. -- Highlights: ► We develop a system dynamics model to analyze steel demand, production and energy consumption in Iran. ► Various scenarios have been simulated to see the energy demand of Iranian steel industry over the next 20 years. ► A co-flow structure is used to show how subsidy reform would affect energy consumption in the long run. ► A co-flow structure has been built into the SD model to formulate consumers' behavior in response to energy prices. ► Scrap based Electric Arc Furnace technology has been evaluated as an energy efficient alternative for steel making.

RANKING OF LOCAL AND DOMESTIC FUEL-ENERGY RECOURSES IN GROSS CONSUMPTION OF BELARUSSIAN FUEL-ENERGY RECOURSES

Directory of Open Access Journals (Sweden)

Y. N. Rumiantsava

2008-01-01

Full Text Available Local and domestic fuel-energy recourses of theRepublicofBelarusin gross consumption of fuel-energy  recourses  has  been ranked on the  basis of the  analysis of scientific  literature,  statistical information and also fundamental documentation in the sphere of energy policy and power saving. The paper proposes to give a special emphasis on usage of products after processing domestically manufactured fuel-energy recourses that have been obtained from local and imported raw-materials with the purpose to estimate a power security level of the Republic from a new point of view.

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

Science.gov (United States)

2010-01-01

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

Stochastic estimation of electricity consumption

International Nuclear Information System (INIS)

Kapetanovic, I.; Konjic, T.; Zahirovic, Z.

1999-01-01

Electricity consumption forecasting represents a part of the stable functioning of the power system. It is very important because of rationality and increase of control process efficiency and development planning of all aspects of society. On a scientific basis, forecasting is a possible way to solve problems. Among different models that have been used in the area of forecasting, the stochastic aspect of forecasting as a part of quantitative models takes a very important place in applications. ARIMA models and Kalman filter as stochastic estimators have been treated together for electricity consumption forecasting. Therefore, the main aim of this paper is to present the stochastic forecasting aspect using short time series. (author)

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

EVALUATION OF ENERGY CONSUMPTION IN AGRO-INDUSTRIAL WASTEWATER TREATMENT PLANT

Directory of Open Access Journals (Sweden)

Wojciech Dąbrowski

2016-07-01

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

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

Science.gov (United States)

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

2015-01-01

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

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

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

Pakistan energy consumption scenario and some alternate energy option

International Nuclear Information System (INIS)

Maher, M.J.

1997-01-01

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

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.

Energy consumption analysis for various memristive networks under different learning strategies

Science.gov (United States)

Deng, Lei; Wang, Dong; Zhang, Ziyang; Tang, Pei; Li, Guoqi; Pei, Jing

2016-02-01

Recently, various memristive systems emerge to emulate the efficient computing paradigm of the brain cortex; whereas, how to make them energy efficient still remains unclear, especially from an overall perspective. Here, a systematical and bottom-up energy consumption analysis is demonstrated, including the memristor device level and the network learning level. We propose an energy estimating methodology when modulating the memristive synapses, which is simulated in three typical neural networks with different synaptic structures and learning strategies for both offline and online learning. These results provide an in-depth insight to create energy efficient brain-inspired neuromorphic devices in the future.

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

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

Directory of Open Access Journals (Sweden)

Mingcai Li

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

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

International Nuclear Information System (INIS)

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

2016-01-01

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

What drives energy consumption in developing countries? The experience of selected African countries

International Nuclear Information System (INIS)

Keho, Yaya

2016-01-01

This study investigates the drivers of energy consumption in Sub-Saharan African countries. It applies the bounds testing approach to cointegration to time series data at individual country levels over the period from 1970 to 2011. The study finds that energy consumption is cointegrated with real GDP per capita, industrial output, imports, foreign direct investment, credit to private sector, urbanization and population. Furthermore, the sign and magnitude of long-run estimates vary significantly for a single country and across countries depending on the energy consumption variable used. Overall, the findings confirm the leading role of economic growth, industrial output, population and urbanization. Economic growth, industrial output and population have positive effects on energy consumption in the majority of countries. Given the urgent need to address climate change, African countries should adopt policies to improve energy efficiency and accelerate transition toward renewable energy. The African Renewable Energy Initiative launched at the 21st session of the United Nations Conference of the Parties (COP21) is an opportunity for African countries to provide and maintain widespread access to reliable and affordable environmentally cleaner energy to meet the requirements of rapid economic growth and improved living standards. - Highlights: •Key drivers of energy use in 12 African countries are examined. •Economic growth, industrial GDP, population and urbanization play a leading role in explaining energy use. •Urbanization has a positive effect on energy use in six countries and a negative effect in four countries. •The results obtained have useful policy implications.

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...

On the estimation method of compressed air consumption during pneumatic caisson sinking

OpenAIRE

平川, 修治; ヒラカワ, シュウジ; Shuji, HIRAKAWA

1990-01-01

There are several methods in estimation of compressed air consumption during pneumatic caisson sinking. It is re uired in the estimation of compressed air consumption by the methods under the same conditions. In this paper, it is proposed the methods which is able to estimate accurately the compressed air consumption during pnbumatic caissons sinking at this moment.

Effect of Groove Surface Texture on Tribological Characteristics and Energy Consumption under High Temperature Friction.

Science.gov (United States)

Wu, Wei; Chen, Guiming; Fan, Boxuan; Liu, Jianyou

2016-01-01

Energy consumption and tribological properties could be improved by proper design of surface texture in friction. However, some literature focused on investigating their performance under high temperature. In the study, different groove surface textures were fabricated on steels by a laser machine, and their tribological behaviors were experimentally studied with the employment of the friction and wear tester under distinct high temperature and other working conditions. The friction coefficient was recorded, and wear performance were characterized by double light interference microscope, scanning electron microscope (SEM) and x-ray energy dispersive spectrometry (EDS). Then, the performances of energy consumptions were carefully estimated. Results showed that friction coefficient, wear, and energy consumption could almost all be reduced by most textures under high temperature conditions, but to a different extent which depends on the experimental conditions and texture parameters. The main improvement mechanisms were analyzed, such as the hardness change, wear debris storage, thermal stress release and friction induced temperature reduction by the textures. Finally, a scattergram of the relatively reduced ratio of the energy consumption was drawn for different surface textures under four distinctive experimental conditions to illustrate the comprehensive energy consumption improving ability of textures, which was of benefit for the application of texture design.

Analysis and Optimization of Building Energy Consumption

Science.gov (United States)

Chuah, Jun Wei

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

Low energy consumption vortex wave flow membrane bioreactor.

Science.gov (United States)

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

2017-11-01

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

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)

The effect of energy performance regulations on energy consumption

NARCIS (Netherlands)

Guerra-Santin, O.; Itard, L.

2012-01-01

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

Household vehicles energy consumption 1994

Energy Technology Data Exchange (ETDEWEB)

NONE

1997-08-01

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

Estimating the energy use of high definition games consoles

International Nuclear Information System (INIS)

Webb, A.; Mayers, K.; France, C.; Koomey, J.

2013-01-01

As the energy use of games consoles has risen, due to increased ownership and use and improved performance and functionality, various governments have shown an interest in ways to improve their energy efficiency. Estimates of console energy use vary widely between 32 and 500 kWh/year. Most such estimates are unreliable as they are based on incorrect assumptions and unrepresentative data. To address the shortcomings of existing estimates of console energy use, this study collates, normalises and analyses available data for power consumption and usage. The results show that the average energy use of high definition games consoles (sold between 2005 and 2011 inclusive) can be estimated at 102 kWh/year, and 64 kWh/year for new console models on sale in early 2012. The calculations herein provide representative estimates of console energy use during this period, including a breakdown of the relative contribution of different usage modes. These results could be used as a baseline to evaluate the potential energy savings from efficiency improvements in games consoles, and also to assess the potential effectiveness of any proposed energy efficiency standards. Use of accurate data will help ensure the implementation of the most effective efficiency policies and standards. - Highlights: • Estimates of games console energy use vary significantly. • New energy use estimates calculated for high definition games consoles. • Consoles currently on sale use 37% less energy than earlier models. • Gaming accounts for over 50% of console energy use. • Further research regarding console usage is needed, particularly inactive time

Energy consumption and CO2 emissions in Iran, 2025

International Nuclear Information System (INIS)

Mirzaei, Maryam; Bekri, Mahmoud

2017-01-01

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

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

International Nuclear Information System (INIS)

Feng Taiwen; Sun Linyan; Zhang Ying

2009-01-01

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

Methods for estimating water consumption for thermoelectric power plants in the United States

Science.gov (United States)

Diehl, Timothy H.; Harris, Melissa; Murphy, Jennifer C.; Hutson, Susan S.; Ladd, David E.

2013-01-01

Water consumption at thermoelectric power plants represents a small but substantial share of total water consumption in the U.S. However, currently available thermoelectric water consumption data are inconsistent and incomplete, and coefficients used to estimate consumption are contradictory. The U.S. Geological Survey (USGS) has resumed the estimation of thermoelectric water consumption, last done in 1995, based on the use of linked heat and water budgets to complement reported water consumption. This report presents the methods used to estimate freshwater consumption at a study set of 1,284 power plants based on 2010 plant characteristics and operations data.

Estimating the energy saving potential of telecom operators in China

International Nuclear Information System (INIS)

Yang, Tian-Jian; Zhang, Yue-Jun; Huang, Jin; Peng, Ruo-Hong

2013-01-01

A set of models are employed to estimate the potential of total energy saved of productions and segmented energy saving for telecom operators in China. During the estimation, the total energy saving is divided into that by technology and management, which are derived from technical reform and progress, and management control measures and even marketing respectively, and the estimating methodologies for energy saving potential of each segment are elaborated. Empirical results from China Mobile indicate that, first, the technical advance in communications technology accounts for the largest proportion (70%–80%) of the total energy saved of productions in telecom sector of China. Second, technical reform brings about 20%–30% of the total energy saving. Third, the proportions of energy saving brought by marketing and control measures appear relatively smaller, just less than 3%. Therefore, China's telecom operators should seize the opportunity of the revolution of communications network techniques in recent years to create an advanced network with lower energy consumption

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.

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

International Nuclear Information System (INIS)

Zou Gaolu

2012-01-01

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

Energy consumption and economic growth revisited in African countries

Energy Technology Data Exchange (ETDEWEB)

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

2011-11-15

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

Power/Energy Estimator for Designing WSN Nodes with Ambient Energy Harvesting Feature

Directory of Open Access Journals (Sweden)

Jutel Dominique

2011-01-01

Full Text Available Abstract Wireless Sensor Networks (WSNs consist of spatially distributed autonomous sensors to cooperatively monitor physical conditions. Thus, the node battery autonomy is critical. To outperform it, most WSNs rely on the harvesting capability. As nodes can recharge whenever energy is available, the problem is to determine at design time the node autonomy. For our project, we solve it by creating a power/energy estimator that simulates business scenarios to predict node autonomy; the estimation concerns both power and energy features. Based on node architecture configuration, its Dynamic Power Management (DPM policy, and environmental conditions, we present a simulator that helps identify power consumption hot spots and make critical choices during the system design. It also helps to scale the energy storage system as well as the energy harvesters correctly. The hardware part is modelled using the FLPA methodology to develop different node component models with a variable accuracy. For the logical part, we developped a specific DPM by integrating meteorology and weather forecast behaviours. The novelty comes from the ability to simulate the WSN harvesting capability and to estimate at runtime the remaining duration of each service.

Estimating average alcohol consumption in the population using multiple sources: the case of Spain.

Science.gov (United States)

Sordo, Luis; Barrio, Gregorio; Bravo, María J; Villalbí, Joan R; Espelt, Albert; Neira, Montserrat; Regidor, Enrique

2016-01-01

National estimates on per capita alcohol consumption are provided regularly by various sources and may have validity problems, so corrections are needed for monitoring and assessment purposes. Our objectives were to compare different alcohol availability estimates for Spain, to build the best estimate (actual consumption), characterize its time trend during 2001-2011, and quantify the extent to which other estimates (coverage) approximated actual consumption. Estimates were: alcohol availability from the Spanish Tax Agency (Tax Agency availability), World Health Organization (WHO availability) and other international agencies, self-reported purchases from the Spanish Food Consumption Panel, and self-reported consumption from population surveys. Analyses included calculating: between-agency discrepancy in availability, multisource availability (correcting Tax Agency availability by underestimation of wine and cider), actual consumption (adjusting multisource availability by unrecorded alcohol consumption/purchases and alcohol losses), and coverage of selected estimates. Sensitivity analyses were undertaken. Time trends were characterized by joinpoint regression. Between-agency discrepancy in alcohol availability remained high in 2011, mainly because of wine and spirits, although some decrease was observed during the study period. The actual consumption was 9.5 l of pure alcohol/person-year in 2011, decreasing 2.3 % annually, mainly due to wine and spirits. 2011 coverage of WHO availability, Tax Agency availability, self-reported purchases, and self-reported consumption was 99.5, 99.5, 66.3, and 28.0 %, respectively, generally with downward trends (last three estimates, especially self-reported consumption). The multisource availability overestimated actual consumption by 12.3 %, mainly due to tourism imbalance. Spanish estimates of per capita alcohol consumption show considerable weaknesses. Using uncorrected estimates, especially self-reported consumption, for

Energy consumption and technological developments

International Nuclear Information System (INIS)

Okorokov, V.R.

1990-02-01

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

Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey

International Nuclear Information System (INIS)

Soezen, Adnan; Arcaklioglu, Erol

2007-01-01

The most important theme in this study is to obtain equations based on economic indicators (gross national product-GNP and gross domestic product-GDP) and population increase to predict the net energy consumption of Turkey using artificial neural networks (ANNs) in order to determine future level of the energy consumption and make correct investments in Turkey. In this study, three different models were used in order to train the ANN. In one of them (Model 1), energy indicators such as installed capacity, generation, energy import and energy export, in second (Model 2), GNP was used and in the third (Model 3), GDP was used as the input layer of the network. The net energy consumption (NEC) is in the output layer for all models. In order to train the neural network, economic and energy data for last 37 years (1968-2005) are used in network for all models. The aim of used different models is to demonstrate the effect of economic indicators on the estimation of NEC. The maximum mean absolute percentage error (MAPE) was found to be 2.322732, 1.110525 and 1.122048 for Models 1, 2 and 3, respectively. R 2 values were obtained as 0.999444, 0.999903 and 0.999903 for training data of Models 1, 2 and 3, respectively. The ANN approach shows greater accuracy for evaluating NEC based on economic indicators. Based on the outputs of the study, the ANN model can be used to estimate the NEC from the country's population and economic indicators with high confidence for planing future projections

Cities and Energy Consumption: a Critical Review

Directory of Open Access Journals (Sweden)

Carmela Gargiulo

2017-12-01

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

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

Science.gov (United States)

Carlson, Derrick R.

consumption, which suggests significant diminishing returns for parties interested in monitoring appliance level electricity consumption. Another way to improve understanding of residential energy consumption is through the development of residential use phase energy vectors for use in the Economic Input-Output Life Cycle Assessment (EIO-LCA) model. The EIO-LCA model is a valuable scoping tool to predict the environmental impacts of economic activity. This tool has a gap in its capabilities as residential use phase energy is outside the scope of the model. Adding use phase energy vectors to the EIO-LCA model will improve the modeling, provide a more complete estimation of energy impacts and allow for embedded energy to be compared to use phase energy for the purchase of goods and services in the residential sector. This work adds 21 quads of energy to the residential energy sector for the model and 15 quads of energy for personal transportation. These additions represent one third of the total energy consumption of the United States and a third of the total energy in the EIO-LCA model. This work also demonstrates that for many products such as electronics and household appliances use phase energy demands are much greater than manufacturing energy demands and dominate the life cycles for these products. A final way in which this thesis improves upon the understanding of how use phase energy is consumed in a home is through the exploration of potential energy reductions in a home. This analysis selects products that are used or consumed in a home, and explores the potential for reductions in the embedded manufacturing and use phase energy of that product using EIO-LCA and the energy vectors created in Chapter 3. The results give consumers an understanding of where energy is consumed in the lifecycle of products that they purchase and provide policy makers with valuable information on how to focus or refocus policies that are aimed and reducing energy in the residential sector

Analysis of material and energy consumption of mobile phones in China

International Nuclear Information System (INIS)

Yu Jinglei; Williams, Eric; Ju Meiting

2010-01-01

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

Energy drink consumption among young adults in Denmark

DEFF Research Database (Denmark)

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

2015-01-01

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

Economic growth and energy consumption in Algeria: a causality analysis

International Nuclear Information System (INIS)

Cherfi, S.

2011-01-01

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

Energy consumption and greenhouse gas emissions in the recovery and extraction of crude bitumen from Canada’s oil sands

International Nuclear Information System (INIS)

Nimana, Balwinder; Canter, Christina; Kumar, Amit

2015-01-01

Highlights: • A model to estimate energy consumption and GHG emissions in oil sands is presented. • The model is developed from fundamental engineering principles. • Cogeneration in the oil sands has the ability to offset GHG emissions. • The effect of key parameters is investigated through a sensitivity analysis. - Abstract: A model – FUNNEL-GHG-OS (FUNdamental ENgineering PrinciplEs-based ModeL for Estimation of GreenHouse Gases in the Oil Sands) was developed to estimate project-specific energy consumption and greenhouse gas emissions (GHGs) in major recovery and extraction processes in the oil sands, namely surface mining and in situ production. This model estimates consumption of diesel (4.4–7.1 MJ/GJ of bitumen), natural gas (52.7–86.4 MJ/GJ of bitumen) and electricity (1.8–2.1 kW h/GJ of bitumen) as fuels in surface mining. The model also estimates the consumption of natural gas (123–462.7 MJ/GJ of bitumen) and electricity (1.2–3.5 kW h/GJ of bitumen) in steam assisted gravity drainage (SAGD), based on fundamental engineering principles. Cogeneration in the oil sands, with excess electricity exported to Alberta’s grid, was also explored. Natural gas consumption forms a major portion of the total energy consumption in surface mining and SAGD and thus is a main contributor to GHG emissions. Emissions in surface mining and SAGD range from 4.4 to 7.4 gCO 2 eq/MJ of bitumen and 8.0 to 34.0 gCO 2 eq/MJ of bitumen, respectively, representing a wide range of variability in oil sands projects. Depending upon the cogeneration technology and the efficiency of the process, emissions in oil sands recovery and extraction can be reduced by 16–25% in surface mining and 33–48% in SAGD. Further, a sensitivity analysis was performed to determine the effects of key parameters on the GHG emissions in surface mining and SAGD. Temperature and the consumption of warm water in surface mining and the steam-to-oil ratio (SOR) in SAGD are major parameters

The Impact of Energy Consumption on the Surface Urban Heat Island in China’s 32 Major Cities

Directory of Open Access Journals (Sweden)

Weilin Liao

2017-03-01

Full Text Available Supported by the rapid economic development in the last few decades, China has become the largest energy consumer in the world. Alongside this, the effect of the anthropogenic heat released from energy consumption is increasingly apparent. We quantified the daytime and nighttime surface urban heat island intensity (SUHII for the 32 major cities in mainland China, using MODIS land surface temperature data from 2008 to 2012, and estimated the energy consumption intensity (ECI based on the correlation between energy consumption and the sum of nighttime lights. On this basis, the impact of energy consumption on the surface urban heat island in China’s 32 major cities was analyzed, by directly examining the relationship between SUHII and the urban-suburban difference in ECI. The results show that energy consumption has a significantly positive correlation with the nighttime SUHII, but no correlation with the daytime SUHII. It indicates that the cities with a larger urban-suburban difference in ECI have a far greater impact on SUHII during the nighttime. Therefore, the statistical analysis of the historical observation data in this study provides evidence for a long-held hypothesis that the anthropogenic heat released from energy consumption is an important contributor to the urban thermal environment.

The Relationship Between Energy Consumption and Economic ...

African Journals Online (AJOL)

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

Energy Drink Consumption Practices of Young People in Bahrain.

Science.gov (United States)

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

2015-01-01

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

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

International Nuclear Information System (INIS)

Belaïd, Fateh

2016-01-01

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