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Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

UK Electricity Consumption and Number of Meters at MLSOA level (2008) |  

Open Energy Info (EERE)

8) 8) Dataset Summary Description The UK Department of Energy and Climate Change (DECC) releases annual statistics on domestic and non-domestic electricity and gas consumption (and number of meters) at the Middle Layer Super Output Authority (MLSOA) and Intermediate Geography Zone (IGZ) level (there are over 950 of these subregions throughout England, Scotland and Wales). Both MLSOAs (England and Wales) and IGZs (Scotland) include a minimum of approximately 2,000 households. The electricity consumption data data is split by ordinary electricity and economy7 electricity usage. All data in this set are classified as UK National Statistics. Related socio-economic data for MLSOA and IGZ levels can be accessed: http://decc.gov.uk/assets/decc/Statistics/regional/mlsoa2008/181-mlsoa-i...

2

UK Electricity Consumption and Number of Meters at MLSOA level (2005 -  

Open Energy Info (EERE)

5 - 5 - 2007) Dataset Summary Description The UK Department of Energy and Climate Change (DECC) releases annual statistics on domestic and industrial/commercial electricity and gas consumption (and number of meters) at the Middle Layer Super Output Authority (MLSOA) and Intermediate Geography Zone (IGZ) level (there are over 950 of these subregions throughout England, Scotland and Wales). Both MLSOAs (England and Wales) and IGZs (Scotland) include a minimum of approximately 2,000 households. The domestic electricity consumption data data is split by ordinary electricity and economy7 electricity usage. These data are classified as UK National Statistics. Note about spreadsheets: separate tabs exist for each local authority (LA), but the tabs are hidden. To view data, simply 'unhide' the appropriate tab(s). You do not need to "enable macros" to view the data. Related socio-economic data for MLSOA and IGZ levels can be accessed: http://decc.gov.uk/assets/decc/Statistics/regional/mlsoa2008/181-mlsoa-i...

3

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Consumption Consumption Electricity Consumption EIA Electricity Consumption Estimates (million kWh) National Petroleum Council Assumption: The definition of electricity con- sumption and sales used in the NPC 1999 study is the equivalent ofwhat EIA calls "sales by utilities" plus "retail wheeling by power marketers." This A nn u al Gro wth total could also be called "sales through the distribution grid," 2o 99 99 to Sales by Utilities -012% #N/A Two other categories of electricity consumption tracked by EIA cover on site Retail Wheeling Sales by generation for host use. The first, "nonutility onsite direct use," covers the Power Marketen 212.25% #N/A traditional generation/cogeneration facilities owned by industrial or large All Sales Through Distribution

4

Electric vehicles: UK content  

Science Journals Connector (OSTI)

... overnight recharging are identified as the main obstacles to the early success of the all-electric car. Another problem is that most of the advantages accrue to society and the electricity ... in Britain. They offer the most promising prospects for private use by overcoming the pure electric car problem of short range, typically 50-70 miles. They also do not necessarily depend ...

Judy Redfearn

1980-09-11T23:59:59.000Z

5

Reduces electric energy consumption  

E-Print Network (OSTI)

consumption · Reduces nonhazardous solid waste and wastewater generation · Potential annual savings, and recycling. Alcoa provides the packaging, automotive, aerospace, and construction markets with a variety

6

OpenEI - Electricity Consumption  

Open Energy Info (EERE)

Annual Electricity Annual Electricity Consumption (1980 - 2009) http://en.openei.org/datasets/node/877 Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). License

Type of License:  Other (please specify below)
Source of data

7

Electricity Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA Electricity Electricity Consumption world Data text/csv icon total_electricity_net_consumption_1980_2009billion_kwh.csv (csv, 50.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

8

UK Energy Consumption by Sector | OpenEI  

Open Energy Info (EERE)

68 68 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278068 Varnish cache server UK Energy Consumption by Sector Dataset Summary Description The energy consumption data consists of five spreadsheets: "overall data tables" plus energy consumption data for each of the following sectors: transport, domestic, industrial and service. Each of the five spreadsheets contains a page of commentary and interpretation. In addition, a user guide is available as a supplement to the full set of spreadsheets to explain the technical concepts and vocabulary found within Energy Consumption in the UK (http://www.decc.gov.uk/assets/decc/Statistics/publications/ecuk/272-ecuk-user-guide.pdf). Energy Consumption in the United Kingdom is an annual publication currently published by the UK Department of Energy and Climate Change (DECC) for varying time periods, generally 1970 to 2009 (though some time periods are shorter).

9

Issues in International Energy Consumption Analysis: Electricity...  

NLE Websites -- All DOE Office Websites (Extended Search)

Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Electricity Usage in India's Housing Sector Release date: November 7, 2014...

10

Analyzing electricity consumption via data mining  

Science Journals Connector (OSTI)

This paper proposes a model to analyze the massive data of electricity. Feature subset is determined by the correlation ... be determined further. The effects on analyzing electricity consumption of the other thr...

Jinshuo Liu; Huiying Lan; Yizhen Fu; Hui Wu

2012-04-01T23:59:59.000Z

11

Trends in Renewable Energy Consumption and Electricity  

Reports and Publications (EIA)

Presents a summary of the nations renewable energy consumption in 2010 along with detailed historical data on renewable energy consumption by energy source and end-use sector. Data presented also includes renewable energy consumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and state. The report covers the period from 2006 through 2010.

2012-01-01T23:59:59.000Z

12

Retail competition in the UK electricity sector  

E-Print Network (OSTI)

Retail competition in the UK electricity sector Stephen Littlechild Workshops on Retail Competition Santiago, Chile 16 &17 March 2006 #12;Outline · Why retail competition? · Preparations and large user;Why retail competition? · Wholesale competition to deliver most efficient pattern of generation

Rudnick, Hugh

13

Power to the Plug: An Introduction to Energy, Electricity, Consumption...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

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

14

Electricity Demand and Energy Consumption Management System  

E-Print Network (OSTI)

This project describes the electricity demand and energy consumption management system and its application to the Smelter Plant of Southern Peru. It is composted of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks, with backpropagation training algorithm; it is used to predict the electric power demanded every hour, with an error percentage below of 1%. This information allows management the peak demand before this happen, distributing the raise of electric load to other hours or improving those equipments that increase the demand. The simulation module is based in advanced estimation techniques, such as: parametric estimation, neural network modeling, statistic regression and previously developed models, which simulates the electric behavior of the smelter plant. These modules allow the proper planning because it allows knowing the behavior of the hourly demand and the consumption patterns of the plant, in...

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

15

Table 2a. Electricity Consumption and Electricity Intensities, per Square  

U.S. Energy Information Administration (EIA) Indexed Site

assistance viewing this page, please call (202) 586-8800. Energy Information Administration Home Page Home > Commercial Buildings Home > Sq Ft Tables > Table 2a. Electricity Consumption per Sq Ft Table 2a. Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and Vacant Floorspace, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption (trillion Btu) Electricity Intensities (thousand Btu) In Total Floor space In Occupied Floor space In Vacant Floor space Per Square Foot Per Occupied Square Foot Per Vacant Square Foot All Buildings 4,590 2,600 2,563 37 39 42 8 Building Floorspace (Square Feet) 1,001 to 5,000 2,532 334 331 3 48 51 6 5,001 to 10,000 946 250 247 3 36 38 6 10,001 to 25,000

16

Electricity Consumption Simulation Based on Multi-agent System  

Science Journals Connector (OSTI)

In order to simulate impact on electricity of macroeconomic policy and foreign trade, Electricity Consumption Simulation System (ECMAS) was established based ... according to I/O table and data of electricity consumption

Minjie Xu; Zhaoguang Hu; Baoguo Shan

2009-01-01T23:59:59.000Z

17

Standby electricity consumption and saving potentials of Turkish households  

Science Journals Connector (OSTI)

Abstract The share of the residential sector currently accounts for about 25% of the national electricity consumption in Turkey. Due to increase in household income levels and decrease in the costs of appliances; significant increases in appliance ownerships and residential electricity consumption levels have been observed in recent years. Most domestic appliances continue consuming electricity when they are not performing their primary functions, i.e. at standby mode, which can constitute up 15% of the total household electricity consumption in some countries. Although the demand in Turkish residential electricity consumption is increasing, there are limited studies on the components of the residential electricity consumption and no studies specifically examining the extent and effects of standby electricity consumption using a surveying/measurement methodology. Thus, determining the share of standby electricity consumption in total home electricity use and the ways of reducing it are important issues in residential energy conservation strategies. In this study, surveys and standby power measurements are conducted at 260 households in Ankara, Turkey, to determine the amount, share, and saving potentials of the standby electricity consumption of Turkish homes. The survey is designed to gather information on the appliance properties, lights, electricity consumption behavior, economic and demographics of the occupants, and electricity bills. A total of 1746 appliances with standby power are measured in the surveyed homes. Using the survey and standby power measurements data, the standby, active, and lighting end-use electricity consumptions of the surveyed homes are determined. The average Turkish household standby power and standby electricity consumption are estimated as 22W and 95kWh/yr, respectively. It was also found that the standby electricity consumption constitutes 4% of the total electricity consumption in Turkish homes. Two scenarios are then applied to the surveyed homes to determine the potentials in reducing standby electricity consumption of the households.

Mustafa Cagri Sahin; Merih Aydinalp Koksal

2014-01-01T23:59:59.000Z

18

Household activities through various lenses: crossing surveys, diaries and electric consumption  

E-Print Network (OSTI)

comparison between electricity consumption and behavioralU.S. residential electricity consumption Energy Policy, 42(of the residential electricity consumption. Energy Policy,

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

19

Impacts of Electric Vehicles on Primary Energy Consumption and Petroleum Displacement  

E-Print Network (OSTI)

to Btu, EC is the electricity consumption of EVs in Kwh perreductions EV in electricity consumption contributedsensitive to EV electricity consumption, which,in turn,is

Wang, Quanlu; Delucchi, Mark A.

1991-01-01T23:59:59.000Z

20

Insight into the Properties of the UK Power Consumption Using a Linear Regression and Wavelet Transform Approach  

E-Print Network (OSTI)

In this paper, the relationship between the Gross Domestic Product (GDP), air temperature variations and power consumption is evaluated using the linear regression and Wavelet Coherence (WTC) approach on a 1971-2011 time series for the United Kingdom (UK). The results based on the linear regression approach indicate that some 66% variability of the UK electricity demand can be explained by the quarterly GDP variations, while only 11% of the quarterly changes of the UK electricity demand are caused by seasonal air temperature variations. WTC however, can detect the period of time when GDP and air temperature significantly correlate with electricity demand and the results of the wavelet correlation at different time scales indicate that a significant correlation is to be found on a long-term basis for GDP and on an annual basis for seasonal air-temperature variations. This approach provides an insight into the properties of the impact of the main factors on power consumption on the basis of which the power syst...

Avdakovic, Samir; Nuhanovic, Amir

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Prediction of Electric Load using Kohonen Maps -Application to the Polish Electricity Consumption  

E-Print Network (OSTI)

Prediction of Electric Load using Kohonen Maps - Application to the Polish Electricity Consumption on Kohonen maps is proposed. This method is applied to the prediction of the Polish electricity consumption of the electric load is specific. For each day, we have 24 values (or more) of the electricity consumption

Verleysen, Michel

22

Reducing Occupant-Controlled Electricity Consumption in Campus Buildings  

E-Print Network (OSTI)

2010 Reducing Occupant-Controlled Electricity Consumption in Campus Buildings Kill­09 and is expected to spend more than $17.1 million in 2009­10. In an effort to reduce electricity consumption; 1 EXECUTIVE SUMMARY UC Berkeley spent $16.39 million on purchased electricity in 2008

Doudna, Jennifer A.

23

Power to the Plug: An Introduction to Energy, Electricity, Consumption...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Owner: The NEED Project Power to the Plug: An Introduction to Energy, Electricity, Consumption, and Efficiency ENERGY EDUCATION AND WORKFORCE DEVELOPMENT This educational...

24

On Minimizing the Energy Consumption of an Electrical Vehicle  

E-Print Network (OSTI)

Apr 20, 2011 ... The problem that we focus on, is the minimization of the energy consumption of an electrical vehicle achievable on a given driving cycle.

Abdelkader Merakeb

2011-04-20T23:59:59.000Z

25

Electricity consumption and economic growth empirical evidence from Pakistan  

Science Journals Connector (OSTI)

The present article uses the Autoregressive Distributed Lag (ARDL) bounds testing procedure to identify the long run equilibrium relationship between electricity consumption and economic growth. Toda Yamamoto and...

Muhammad Shahbaz; Mete Feridun

2012-08-01T23:59:59.000Z

26

Electricity Generation and Consumption by State (2008 ) | OpenEI  

Open Energy Info (EERE)

Generation and Consumption by State (2008 ) Generation and Consumption by State (2008 ) Dataset Summary Description Provides total annual electricity consumption by sector (residential, commercial and industrial) for all states in 2008, reported in GWh, and total electricity generation by sector (e.g. wind, solar, nuclear, coal) for all states in 2008, reported in GWh. Source NREL Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords EIA Electricity Consumption Electricity Generation States Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon 2008 State Electricity Generation and Consumption (format: xls) (xlsx, 56.7 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008 License License Other or unspecified, see optional comment below

27

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

E-Print Network (OSTI)

Evolutionary Tuning of Building Models to Monthly Electrical Consumption Aaron Garrett, PhD Joshua load and electrical data from a highly-instrumented and automated ZEBRAlliance research home consume 40% of the US primary energy (73% of the electrical energy). By 2030, it is estimated that 60

Wang, Xiaorui "Ray"

28

A regression approach to infer electricity consumption of legacy telecom equipment  

E-Print Network (OSTI)

A regression approach to infer electricity consumption of legacy telecom equipment [Extended and communications technology accounts for a significant fraction of worldwide electricity consumption. Given inferring the electricity consumption of different components of the installed base of telecommu- nications

Fisher, Kathleen

29

Renewable Energy Consumption for Electricity Generation by Energy Use  

Open Energy Info (EERE)

Electricity Generation by Energy Use Electricity Generation by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description Provides annual renewable energy consumption (in quadrillion btu) for electricity generation in the United States by energy use sector (commercial, industrial and electric power) and by energy source (e.g. biomass, geothermal, etc.) This data was compiled and published by the Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords biomass Commercial Electric Power Electricity Generation geothermal Industrial PV Renewable Energy Consumption solar wind Data application/vnd.ms-excel icon 2008_RE.Consumption.for_.Elec_.Gen_EIA.Aug_.2010.xls (xls, 19.5 KiB) Quality Metrics Level of Review Some Review

30

The nexus between electricity consumption and economic growth in Bahrain  

Science Journals Connector (OSTI)

Abstract This paper explores the relationship between electricity consumption, foreign direct investment, capital and economic growth in the case of the Kingdom of Bahrain. The CobbDouglas production is used over the period of 1980Q12010Q4. We have applied the ARDL bounds testing approach and found that cointegration exists among the series. Electricity consumption, foreign direct investment and capital add in economic growth. The VECM Granger causality analysis has exposed the feedback effect between electricity consumption and economic growth and the same is true for foreign direct investment and electricity consumption. This study suggests government authorities to explore new sources of energy to achieve sustainable economic development for the long run.

Helmi Hamdi; Rashid Sbia; Muhammad Shahbaz

2014-01-01T23:59:59.000Z

31

Robust electricity consumption modeling of Turkey using Singular Value Decomposition  

Science Journals Connector (OSTI)

Abstract Multivariable regression method is used to model Turkeys electricity consumption through a nonlinear relationship. Electricity consumption is modeled as a function of four demographic and economic indicators such as, population, gross domestic product per capita, imports and exports. The second order model includes 15 coefficients for bias, first degree terms and second degree terms. Data preprocessing is applied to transform all variables to have zero mean and percent relative variance. Singular Value Decomposition is applied to reduce the dimensionality of the problem and to provide robustness to the estimations. Variance and covariance information in the data set is used to determine the number of important dimensions in the data. Electricity consumption of Turkey is modeled using annual data from 1970 to 2011. The results show that electricity consumption can be robustly modeled using Singular Value Decomposition.

Kadir Kavaklioglu

2014-01-01T23:59:59.000Z

32

UK | OpenEI  

Open Energy Info (EERE)

UK UK Dataset Summary Description The UK Department of Energy and Climate Change (DECC) released experimental statistics on domestic electricity and gas consumption (and number of meters) at the Lower Layer Super Output Authority level (LLSOA) for 2008 and for 2007 (only 45 local authorities included in 2007 data). The LLSOAs have a minimum population of 1,000 (approximately 400 households). The domestic electricity consumption data data is split by ordinary electricity and economy7 electricity usage. These data are classified as experimental. Source UK Department of Energy and Climate Change (DECC) Date Released March 25th, 2010 (4 years ago) Date Updated Unknown Keywords Electricity Consumption gas LLOAS UK Data application/zip icon Guidance document for interpreting data (zip, 1.2 MiB)

33

Trends in worldwide ICT electricity consumption from 2007 to 2012  

Science Journals Connector (OSTI)

Abstract Information and Communication Technology (ICT) devices and services are becoming more and more widespread in all aspects of human life. Following an increased worldwide focus on the environmental impacts of energy consumption in general, there is also a growing attention to the electricity consumption associated with ICT equipment. In this paper we assess how ICT electricity consumption in the use phase has evolved from 2007 to 2012 based on three main ICT categories: communication networks, personal computers, and data centers. We provide a detailed description of how we calculate the electricity use and evolution in these three categories. Our estimates show that the yearly growth of all three individual ICT categories (10%, 5%, and 4%, respectively) is higher than the growth of worldwide electricity consumption in the same time frame (3%). The relative share of this subset of ICT products and services in the total worldwide electricity consumption has increased from about 3.9% in 2007 to 4.6% in 2012. We find that the absolute electricity consumption of each of the three categories is still roughly equal. This highlights the need for energy-efficiency research across all these domains, rather than focusing on a single one.

Ward Van Heddeghem; Sofie Lambert; Bart Lannoo; Didier Colle; Mario Pickavet; Piet Demeester

2014-01-01T23:59:59.000Z

34

Sustainable Aspects of Electricity Consumption in Klang Valley  

Science Journals Connector (OSTI)

Abstract Recently, energy crisis is considered a global issue and the demand for an urgent solution seems inevitable. Residential buildings consume nearly one third of Total National Energy Consumption. Studies show that a significant part of energy use can be avoided through occupants awareness about energy consumption. In order to discover and understand energy use of Malaysian residents, this paper has identified the residential electricity use behavior and its determinants by an empirical study. The results showed that out of the six introduced \\{IVs\\} of the regression model to predict the electricity consumption behavior only three predictors can significantly contribute to the model.

Nehzat Jalalkamali; Mohamed Yusoff Abbas

2014-01-01T23:59:59.000Z

35

Industrial Biomass Energy Consumption and Electricity Net Generation by  

Open Energy Info (EERE)

47 47 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281847 Varnish cache server Industrial Biomass Energy Consumption and Electricity Net Generation by Industry and Energy Source, 2008 Dataset Summary Description Biomass energy consumption and electricity net generation in the industrial sector by industry and energy source in 2008. This data is published and compiled by the U.S. Energy Information Administration (EIA). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords 2008 biomass consumption industrial sector Data application/vnd.ms-excel icon industrial_biomass_energy_consumption_and_electricity_2008.xls (xls, 27.6 KiB)

36

Quantitative modelling of electricity consumption using computational intelligence aided design  

Science Journals Connector (OSTI)

Abstract High electricity consumption is of concern to the world for a variety of reasons, including its social-economic-environmental coupled impacts on well-being of individuals, social life and the federal energy policies. This paper proposes a quantitative model to examine the long-term relationship between annual electricity consumption and its major macroeconomic variables, including gross domestic product, electricity price, efficiency, economic structure, and carbon dioxide emission, using computational intelligence aided design (CIAD). It develops a firefly algorithm with variable population (FAVP) to obtain the parameters of the electricity consumption model through optimising two proposed trend indices: moving mean of the average precision (mmAP) and moving mean of standard derivation (mmSTD). The model is validated with empirical electricity consumption data in China between 1980 and 2012, based on which the error of approximations between 1980 and 2009 is 15% and the error of predictions between 2010 and 2012 is [?8%,?5%]. The main contributions of this research are to develop: (1) a novel quantitative model that can accurately predict the social, economic and environmental coupled impacts on the annual electricity demands; (2) the conceptual CIAD framework; (3) FAVP algorithm; and (4) two new trend indices of mmAP and mmSTD. The findings of this research can assist the decision makers in resolving the conflict between energy consumption growth and carbon emission reduction without dooming the economic prosperity in the long run.

Yi Chen; Guangfeng Zhang; Tongdan Jin; Shaomin Wu; Bei Peng

2014-01-01T23:59:59.000Z

37

Electricity Consumption of Pumps in Heat Exchanging Stations of DH Systems in China  

Science Journals Connector (OSTI)

This study analyzed the current electricity consumption of heating exchanging stations in China. By...

Lei Dong; JianJun Xia; Yi Jiang

2014-01-01T23:59:59.000Z

38

Operational water consumption and withdrawal factors for electricity  

Open Energy Info (EERE)

4047 4047 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142254047 Varnish cache server Operational water consumption and withdrawal factors for electricity generating technologies Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. The water factors presented may be useful in modeling and policy analyses where reliable power plant level data are not available.

39

The effect of tree shade on home summer electrical consumption  

E-Print Network (OSTI)

the months and years of the study. 44 Average daily mean temperatures and associated mean total and basal energy consumptions for the months and years of the study period. 46 Average April through October electrical usage per square foot of home area... the months and years of the study. 44 Average daily mean temperatures and associated mean total and basal energy consumptions for the months and years of the study period. 46 Average April through October electrical usage per square foot of home area...

Rudie, Raymond Joseph

2012-06-07T23:59:59.000Z

40

Life cycle sustainability assessment of UK electricity scenarios to 2070  

Science Journals Connector (OSTI)

Abstract Decarbonising the UK electricity mix is vital to achieving the national target of 80% reduction of greenhouse gas (GHG) emissions by 2050, relative to a 1990 baseline. Much work so far has focused only on costs and GHG emissions ignoring other sustainability issues. This paper goes beyond to assess the life cycle sustainability of different electricity scenarios for the UK, extending to 2070. The scenarios include the main technologies relevant to the UK: nuclear, gas, coal with and without carbon capture and storage (CCS), wind, solar photovoltaics and biomass. Three levels of decarbonisation are considered and the implications are assessed for techno-economic, environmental and social impacts on a life cycle basis. The results show that decarbonisation is likely to increase electricity costs despite anticipated future cost reductions for immature technologies. Conversely, sensitivity to volatile fuel prices decreases by two-thirds in all the scenarios with low-carbon technologies. To meet the GHG emission targets, coal CCS can only play a limited role, contributing 10% to the electricity mix at most; the use of CCS also increases other sustainability impacts compared to today, including worker injuries, large accident fatalities, depletion of fossil fuels and long-term waste storage. This calls into question the case for investing in coal CCS. A very low-carbon mix with nuclear and renewables provides the best overall environmental performance, but some impacts increase, such as terrestrial eco-toxicity. Such a mix also worsens some social issues such as health impacts from radiation and radioactive waste storage requirements. UK-based employment may more than double by 2070 if a renewables-intensive mix is chosen. However, the same mix also increases depletion of elements nearly seven-fold relative to the present, emphasising the need for end-of-life recycling. Very low-carbon mixes also introduce considerable uncertainty due to low dispatchability and grid instability. With equal weighting assumed for each sustainability impact, the scenario with an equal share of nuclear and renewables is ranked best.

Laurence Stamford; Adisa Azapagic

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market  

E-Print Network (OSTI)

of this paper, entitled Pricing Structures in the Deregulated UK Electricity Market. We are particularly for electricity, one of the basic utilities, on the date when the final price constraints were removed from1 Charges, Costs and Market Power: the Deregulated UK Electricity Retail Market Evens Salies

Boyer, Edmond

42

Electricity Markets: Should the Rest of the World Adopt the UK Reforms?  

E-Print Network (OSTI)

PWP-069 Electricity Markets: Should the Rest of the World Adopt the UK Reforms? Catherine D;1 Electricity Markets: Should the Rest of the World Adopt the UK Reforms?1 By Catherine D. Wolfram2 Britain was one of the first countries to liberalize its electricity industry when it restructured and privatized

California at Berkeley. University of

43

OpenEI - UK  

Open Energy Info (EERE)

/0 en UK Electricity /0 en UK Electricity Consumption at LLSOA level (2007 - 2008) http://en.openei.org/datasets/node/256 The UK Department of Energy and Climate Change (DECC) released experimental statistics on domestic electricity and gas consumption (and number of meters) at the Lower Layer Super Output Authority level (LLSOA) for 2008 and for 2007 (only 45 local authorities included in 2007 data). The LLSOAs have a minimum population of 1,000 (approximately 400 households). The domestic electricity consumption data data is split by ordinary electricity and economy7 electricity usage. These data are classified as experimental.  

License

44

Table 2b. Relative Standard Errors for Electricity Consumption and  

U.S. Energy Information Administration (EIA) Indexed Site

2b. Relative Standard Errors for Electricity 2b. Relative Standard Errors for Electricity Table 2b. Relative Standard Errors for Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and Vacant Floorspace, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption (trillion Btu) Electricity Intensities (thousand Btu) In Total Floor- space In Occupied Floor- space In Vacant Floor- space Per Square Foot Per Occupied Square Foot Per Vacant Square Foot All Buildings 4 5 5 9 4 4 4 Building Floorspace (Square Feet) 1,001 to 5,000 5 6 6 12 6 6 9 5,001 to 10,000 4 9 9 13 9 9 9 10,001 to 25,000 5 7 7 14 5 5 7 25,001 to 50,000 7 10 10 21 10 10 11 50,001 to 100,000 7 12 12 15 8 8 10 100,001 to 200,000 9 13 13 24 10 11 10 200,001 to 500,000 10 13 13 19 11 11 10 Over 500,000 26 18 18 34

45

Electricity consumption of telecommunication equipment to achieve a telemeeting  

Science Journals Connector (OSTI)

Abstract The article assesses the electricity consumption in use of telecommunication equipment to achieve one remote multi-user work meeting, an existing service proposed by Orange group. It also examines the electric gains of substitution for a meeting requiring physical transport. Equipment comprises participant computers PC and phones, access to core networks and servers to permit audio link and the share of documents on PC display between users. Each device requires power to perform hours of activity or transfer nominal bit/s of throughput. A generic and modular method is suggested to determine from this information, which is not directly related to services processed by the devices, the consumption of the service under study. The method thus provides a quantitative relation of service consumption to its characteristics duration, number of users and access throughput but also to device consumption efficiency and utilization rate. The relation of dependance permits to assess potential energy saving by substituting devices for more efficiency ones and/or by increasing their utilization rate at same provided service. With some utilization rates at around 10%, as observed for the servers, a telemeeting between three users and lasting 2.3h requires 9MJ of electricity. Using better equipment and higher rates it can be decreased to 1.5MJ. By comparison transport of two of the users by train over a total distance of 2500km requires 500MJ. The method can be applied to any service provided its characteristics are known.

X. Chavanne; S. Schinella; D. Marquet; J.P. Frangi; S. Le Masson

2015-01-01T23:59:59.000Z

46

Model for electric energy consumption in eastern Saudi Arabia  

SciTech Connect

Electrical energy consumption in the eastern province of Saudi Arabia is modeled as a function of weather data, global solar radiation, population, and gross domestic product per capita. Five years of data have been used to develop the energy consumption model. Variable selection in the regression model is carried out by using the general stepping-regression technique. Model adequacy is determined from a residual analysis technique. Model validation aims to determine if the model will function successfully in its intended operating field. In this regard, new energy consumption data for a sixth year are collected, and the results predicted by the regression model are compared with the new data set. Finally, the sensitivity of the model is examined. It is found that the model is strongly influenced by the ambient temperature.

Al-Garni, A.Z.; Al-Nassar, Y.N.; Zubair, S.M.; Al-Shehri, A. [King Fahd Univ. of Petroleum and Minerals, Dhahran (Saudi Arabia)

1997-05-01T23:59:59.000Z

47

Electricity market deregulation and energy security: a study of the UK and Singapore electricity markets  

Science Journals Connector (OSTI)

This study seeks to examine whether deregulated electricity markets can provide energy security. Conceptualising energy security as that of having adequate, reliable and reasonably priced energy, this study proposes a set of indicators that can serve as an approximate gauge to determine whether a particular electricity market is robust enough to provide energy security. These chosen indicators are applied for both the UK and Singapore electricity markets in particular, and the outcomes provide evidence to believe that both markets are capable of providing energy security.

Youngho Chang; Jian Liang Lee

2008-01-01T23:59:59.000Z

48

An integrated fuzzy regression algorithm for improved electricity consumption estimation  

Science Journals Connector (OSTI)

This study presents an integrated fuzzy regression and time-series technique to estimate and predict electricity demand. Furthermore, it is difficult to model uncertain behaviour of energy consumption with only conventional time-series and fuzzy regression, which could be an ideal substitute for such cases. After reviewing various fuzzy regression models and studying their advantages and shortcomings, the best model is selected. Also, the impact of data preprocessing and post-processing on the fuzzy regression performance is to study and to show that this method does not contribute to the efficiency of the model. In addition, another unique feature of this study is utilisation of autocorrelation function to define input variables versus trial and error method. At last, the comparison of actual data with fuzzy regression and ARIMA model, using Granger??Newbold test, is achieved. Monthly electricity consumption of Iran from 1995 to 2005 is considered as the case of this study.

Ali Azadeh; Morteza Saberi; Anahita Gitiforouz

2010-01-01T23:59:59.000Z

49

The electricity consumption impacts of commercial energy management systems  

SciTech Connect

An investigation of energy management systems (EMS) in large commercial and institutional buildings in North Carolina was undertaken to determine how EMS currently affect electricity consumption and what their potential is for being used to reduce on-peak electricity demand. A survey was mailed to 5000 commercial customers; the 430 responses were tabulated and analyzed; EMS vendors were interviewed, and 30 sites were investigated in detail. The detailed assessments included a site interview and reconstruction of historic billing data to evaluate EMS impact, if any. The results indicate that well-tuned EMS can result in a 10 to 40 percent reduction in billed demand, and smaller reductions in energy.

Buchanan, S.; Taylor, R.; Paulos, S.; Warren, W.; Hay, J.

1989-02-01T23:59:59.000Z

50

A new adaptive fuzzy inference system for electricity consumption forecasting with hike in prices  

Science Journals Connector (OSTI)

Large increase or hike in energy prices has proven to impact electricity consumption in a way which cannot be drawn ... (FIS) to estimate and forecast long-term electricity consumption when prices experience larg...

S. M. Sajadi; S. M. Asadzadeh; V. Majazi Dalfard

2013-12-01T23:59:59.000Z

51

Investment appraisal of technology innovations on dairy farm electricity consumption  

Science Journals Connector (OSTI)

ABSTRACT The aim of this study was to conduct an investment appraisal for milk-cooling, water-heating, and milk-harvesting technologies on a range of farm sizes in 2 different electricity-pricing environments. This was achieved by using a model for electricity consumption on dairy farms. The model simulated the effect of 6 technology investment scenarios on the electricity consumption and electricity costs of the 3 largest electricity-consuming systems within the dairy farm (i.e., milk-cooling, water-heating, and milking machine systems). The technology investment scenarios were direct expansion milk-cooling, ice bank milk-cooling, milk precooling, solar water-heating, and variable speed drive vacuum pump-milking systems. A dairy farm profitability calculator was combined with the electricity consumption model to assess the effect of each investment scenario on the total discounted net income over a 10-yr period subsequent to the investment taking place. Included in the calculation were the initial investments, which were depreciated to zero over the 10-yr period. The return on additional investment for 5 investment scenarios compared with a base scenario was computed as the investment appraisal metric. The results of this study showed that the highest return on investment figures were realized by using a direct expansion milk-cooling system with precooling of milk to 15C with water before milk entry to the storage tank, heating water with an electrical water-heating system, and using standard vacuum pump control on the milking system. Return on investment figures did not exceed the suggested hurdle rate of 10% for any of the ice bank scenarios, making the ice bank system reliant on a grant aid framework to reduce the initial capital investment and improve the return on investment. The solar water-heating and variable speed drive vacuum pump scenarios failed to produce positive return on investment figures on any of the 3 farm sizes considered on either the day and night tariff or the flat tariff, even when the technology costs were reduced by 40% in a sensitivity analysis of technology costs.

J. Upton; M. Murphy; I.J.M. De Boer; P. W. G. Groot Koerkamp; P.B.M. Berensten; L. Shalloo

2014-01-01T23:59:59.000Z

52

New Zealand Energy Data: Electricity Demand and Consumption | OpenEI  

Open Energy Info (EERE)

Electricity Demand and Consumption Electricity Demand and Consumption Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). The sectors included are: agriculture, forestry and fishing; industrial (mining, food processing, wood and paper, chemicals, basic metals, other minor sectors); commercial; and residential. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago)

53

Fuel Consumption for Electricity Generation, All Sectors United States  

Gasoline and Diesel Fuel Update (EIA)

Fuel Consumption for Electricity Generation, All Sectors Fuel Consumption for Electricity Generation, All Sectors United States Coal (thousand st/d) .................... 2,361 2,207 2,586 2,287 2,421 2,237 2,720 2,365 2,391 2,174 2,622 2,286 2,361 2,437 2,369 Natural Gas (million cf/d) ............. 20,952 21,902 28,751 21,535 20,291 22,193 28,174 20,227 20,829 22,857 29,506 21,248 23,302 22,736 23,627 Petroleum (thousand b/d) ........... 128 127 144 127 135 128 135 119 131 124 134 117 131 129 127 Residual Fuel Oil ...................... 38 28 36 29 30 31 33 29 31 30 34 27 33 31 30 Distillate Fuel Oil ....................... 26 24 27 28 35 30 30 26 31 26 28 25 26 30 28 Petroleum Coke (a) .................. 59 72 78 66 63 63 66 59 62 63 67 60 69 63 63 Other Petroleum Liquids (b) ..... 5 3 4 4 7 5 5 5 7 5 5 5 4 6 6 Northeast Census Region Coal (thousand st/d) ....................

54

Overview of the Electrical Energy Segment of the Energy Information Administration/ Manufacturing Consumption Report  

E-Print Network (OSTI)

, liquefied petroleum gas, coke and breeze, coal, and electricity, only the electricity segment is overviewed. Along with pure electrical energy consumption information, newly available data covers methods that manufacturers used to purchase and modify...

Lockhead, S.

55

Response of office building electricity consumption to urban weather in Adelaide, South Australia  

Science Journals Connector (OSTI)

Abstract Knowledge of climate dependency of building energy consumption is useful for predicting the impacts of climate change and urban heat island on energy demand and associated carbon emissions, and to evaluate and improve building energy performance. Climate dependent electricity consumption is examined in this study for four office buildings in Adelaide, the capital city of South Australia with a warm-summer Mediterranean climate. Influences of both outdoor temperature and specific humidity on building electricity consumption are analyzed using the multiple linear regression, based on both sub-daily and monthly electricity consumption data. The results indicate that there is a daytime mean temperature threshold of around 17C, above which, electricity consumption increases with air temperature. Specific humidity also contributes to interpreting the temporal variability of office hour electricity consumption. Daytime temperature and specific humidity together determine 8090% of office hour electricity consumption variation for days with mean daytime temperature above the threshold temperature. Office building daily electricity consumption can be examined with monthly electricity consumption data of a period of three years. The results also suggest that heatwaves may increase office building electricity demand by up to 50%, and that one degree warming can increase annual office electricity consumption by 2% in Adelaide.

Huade Guan; Veronica Soebarto; John Bennett; Roger Clay; Robert Andrew; Yunhui Guo; Saeedeh Gharib; Kathryn Bellette

2014-01-01T23:59:59.000Z

56

Political and Regulatory Risk: Beta Sensitivity in U.K. Electricity Distribution*  

Science Journals Connector (OSTI)

To establish price caps, regulators must determine appropriate returns for utilities capital employed. This paper uses the techniques of the Kalman Filter to estimate daily betas for the U.K.s regional electric...

Roger Buckland; Patricia Fraser

2001-01-01T23:59:59.000Z

57

Sustainability in the Electricity Production and Consumption System A Consumers Perspective  

Science Journals Connector (OSTI)

The production and consumption systems (PACS) of electricity provide broad insights into possible actions and ... the life cycle from production and supply to consumption. More importantly for the context of the ...

Doris Fuchs; Sylvia Lorek

2010-01-01T23:59:59.000Z

58

Cloud-Based Massive Electricity Data Mining and Consumption Pattern Discovery  

Science Journals Connector (OSTI)

With the development of the power systems in China, there is large volume of basic electricity consumption data accumulated. Mining these data to discover possible consumption patterns and group the users in a .....

Chen Ming; Cao Maoyong

2014-01-01T23:59:59.000Z

59

Prediction of electricity energy consumption of Turkey via artificial bee colony: a case study  

Science Journals Connector (OSTI)

Due to the worldwide growth of energy consumption, analysis of energy issues and the development ... become an important issue. In this study, electricity energy consumption of Turkey is predicted by artificial b...

Feyza Grbz; Celal ztrk; Panos Pardalos

2013-09-01T23:59:59.000Z

60

A Real-World, Simple Wireless Sensor Network for Monitoring Electrical Energy Consumption  

Science Journals Connector (OSTI)

We present a simple, commercial WSN for monitoring electrical energy consumption. We discuss WSN characteristics, practical problems, constraints and design decisions which mainly are motivated by our concrete...

Cornelia Kappler; Georg Riegel

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

The Application of ARIMA Modle in the Prediction of the Electricity Consumption of Jiangsu Province  

Science Journals Connector (OSTI)

Forecasts of electricity can play a rational allocation of resources ... regional economic development. Based on the annual electricity consumption data of Jiangsu Province, the ARIMA model of Jiangsu Provinces

Wu Min; Cao Jia-he

2012-01-01T23:59:59.000Z

62

Relationship between electricity consumption and economic growth of Guangdong Province in China  

Science Journals Connector (OSTI)

Guangdong is a province with the most electricity consumption (EC) and the fastest economic growth ... , there has long been a contradiction between electricity supply and demand in Guangdong and this...

Lianhong Lv; Hong Luo; Baoliu Zhang

2012-12-01T23:59:59.000Z

63

Electricity consumption and human development level: A comparative analysis based on panel data for 50 countries  

Science Journals Connector (OSTI)

Abstract As a representative of modern energy, the level of electricity consumption can be regarded as an appraisal criterion of a countrys development level. This study analyses the causality between electricity consumption and human development and assesses the changing trend of electricity consumption. The models in this study are established using panel data from 19902009 for 50 countries divided into four groups according to income. For human development indicators, per-capita GDP, consumption expenditure, urbanisation rate, life expectancy at birth and the adult literacy rate were selected. The results show that long-run bidirectional causality exists between electricity consumption and five indicators. Additionally, the higher the income of a country, the greater is its electricity consumption and the higher is its level of human development. Further, the variables of four income-groupings vary considerably. Specifically, as income increases, the contribution of electricity consumption to GDP and consumption expenditure increases, but the urbanisation rate, life expectancy at birth and adult literacy rate present a weakening trend. This mainly because that the latter indicators in high-income countries are increasing to converge. To improve human development, electricity should be incorporated into the basic public services construction to enhance the availability of electricity for low-income residents.

Shuwen Niu; Yanqin Jia; Wendie Wang; Renfei He; Lili Hu; Yan Liu

2013-01-01T23:59:59.000Z

64

Deregulating UK Gas and Electricity Markets: How is Competition Working for  

NLE Websites -- All DOE Office Websites (Extended Search)

Deregulating UK Gas and Electricity Markets: How is Competition Working for Deregulating UK Gas and Electricity Markets: How is Competition Working for Residential Consumers? Speaker(s): Catherine Waddams Date: April 15, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Chris Marnay Retail gas and electricity prices were deregulated in the UK in April 2002, following introduction of retail choice for residential consumers between 1996 and 1999. We use information from consumer surveys, including a panel survey over three years, to analyse consumer attitudes and behaviour. In particular we explore how awareness changed, whether those who were actively considering switching in one wave of the survey had actually done so by the next round, whether individuals become willing to switch for smaller price gains as the markets matured, and how expectations

65

CO2 emissions related to the electricity consumption in the european primary aluminium production a comparison of electricity supply approaches  

Science Journals Connector (OSTI)

The objective of this study is to estimate the specific CO2 emissions related to the electricity consumption in the European primary aluminium production and ... compare different choices of system boundaries of ...

Matthias Koch; Jochen Harnisch

2002-09-01T23:59:59.000Z

66

MEW Efforts in Reducing Electricity and Water Consumption in Government and Private Sectors in Kuwait  

E-Print Network (OSTI)

of Engineers, membership No. 1715. MEW EFFORTS IN REDUCING ELECTRICITY AND WATER CONSUMPTION IN GOVERNMENT AND PRIVATE SECTORS IN KUWAIT Eng. Iqbal Al-Tayar Manager ? Technical Supervision Department Planning and Training Sector Ministry... of Electricity & Water (MEW) - Kuwait Historical Background - Electricity ? In 1913, the first electric machine was installed in Kuwait to operate 400 lambs for Al-Saif Palace. ? In 1934, two electric generators were installed with a total capacity of 60 k...

Al-Tayar, I.

2011-01-01T23:59:59.000Z

67

Charges, Costs and Market Power in the Deregulated UK Electricity Retail Market  

E-Print Network (OSTI)

by competitive forces in unregulated residential energy markets. We assess the competitiveness of the market: Energy: Pricing, Market Power Acknowledgements: We are grateful for financial support from the EconomicCharges, Costs and Market Power in the Deregulated UK Electricity Retail Market by Evens Salies

Feigon, Brooke

68

Stand-by Electricity Consumption in Japanese Houses  

Science Journals Connector (OSTI)

In recent years as Japanese household electrical appliances have become more multi-functional and high performance, the number of appliances that consume a little electricity even when turned off has grown. There...

Hidetoshi Nakagami; Akio Tanaka

1999-01-01T23:59:59.000Z

69

Greenhouse Gas Emissions from the Consumption of Electric and Electronic Equipment by Norwegian Households  

Science Journals Connector (OSTI)

Greenhouse Gas Emissions from the Consumption of Electric and Electronic Equipment by Norwegian Households ... Conventional wisdom holds that large appliances, in particular washers, dryers, refrigerators and freezers, dominate residential energy consumption apart from heat, hot water and light. ... (16) It excludes lighting, all professional equipment, space heating, hot water, garden or car equipment, fire alarms, and air conditioning. ...

Edgar G. Hertwich; Charlotte Roux

2011-08-30T23:59:59.000Z

70

The Consumption of Carbon in the Electric Arc. No. III. The Anode Loss  

Science Journals Connector (OSTI)

1 February 1916 research-article The Consumption of Carbon in the Electric Arc. No. III. The Anode Loss W. G. Duffield Mary D. Waller The Royal Society is collaborating with...

1916-01-01T23:59:59.000Z

71

Household electricity consumption and CO2 emissions in the Netherlands: A model-based analysis  

Science Journals Connector (OSTI)

Abstract Twenty percent of the total energy consumption in the Netherlands comes from household electricity consumption. This comes from household electric appliances whose number has grown in recent years. The paper explores the effect of smart meter introduction, appliance efficiency and consumer behaviour on reducing electricity consumption in the Netherlands. It does so by combining two perspectives: a sociotechnical approach and a bottom up simulation approach. The range of scenarios explored through simulation in the paper provides an understanding of the interplay between efficiency, smart meter diffusion and consumer behaviour. The results show their effect on electricity consumption and suggest that further effort is required to control and reduce it. Insights from the paper suggest that future studies should disaggregate with respect to a number of factors.

George Papachristos

2015-01-01T23:59:59.000Z

72

Persuading Consumers to Reduce Their Consumption of Electricity in the Home  

Science Journals Connector (OSTI)

Previous work has identified that providing real time feedback or interventions to consumers can persuade consumers to change behaviour and reduce domestic electricity consumption. However, little work has invest...

Alan F. Smeaton; Aiden R. Doherty

2013-01-01T23:59:59.000Z

73

On Minimizing the Energy Consumption of an Electrical Vehicle  

E-Print Network (OSTI)

The electrical vehicle energy management can be expressed as a Bang-Bang .... reflects the losses due to the internal resistance of the battery. The system...

2011-04-19T23:59:59.000Z

74

A macroeconomic analysis of electricity consumption in Tunisia: energy policy implications  

Science Journals Connector (OSTI)

Electricity demand forecasting is becoming an essential instrument for energy management policy in a liberalised electricity market. To address the needs, an electricity consumption forecasting model based on macroeconomic factors for Tunisia during the period of 1971 to 2008 has been investigated. A cointegration and error correction model incorporated with causality analysis present an appropriate framework for studying the aggregate electricity demand. It is found that the there are long run relationships between electricity consumption, real income, population and the consumer price index. For causality results, it was found there are unidirectional relationships from electricity consumption to real income, from electricity consumption to consumer price index and from population to real income. The results from our study might be useful for the government in forming appropriate energy policies. Indeed, the policymaker would visibly pose problems for electricity security by increasing investment in the electricity supply sector in order to cope with the increasing demand and undertaking more research to sustain their social, economic and environmental needs by implementing an energy efficiency measures.

Néjib Chouaïbi; Tahar Abdessalem

2011-01-01T23:59:59.000Z

75

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

vibration sensors, for inferring electrical consumption when direct measurementvibration and light sensors, we can increase our coverage, especially in places where direct electrical measurementAND MEASUREMENT Building A/C Unit ? Accelerometer ? Fig (A) accel x Building A/C Unit ? Vibration

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

76

Electricity consumption and economic growth in transition countries: A revisit using bootstrap panel Granger causality analysis  

Science Journals Connector (OSTI)

Abstract The purpose of this paper is to revisit the Granger causal relationship between electricity consumption and economic growth for 15 transition economies for the period 19752010 using a bootstrap panel causality approach that allows for both cross-sectional dependency and for heterogeneity across countries. Applying this approach, we found a unidirectional causality running from electricity consumption to economic growth only in Belarus and Bulgaria; from economic growth to electricity consumption in the Czech Republic, Latvia, Lithuania and the Russian Federation; bidirectional causality only in Ukraine while no Granger causality in any direction in Albania, Macedonia, Moldova, Poland, Romania, Serbia, Slovak Republic and Slovenia. These results show that there is a limited support for the electricity-led growth hypothesis. Nevertheless these different findings provide important implications for energy strategies and policies for transition countries.

Yemane Wolde-Rufael

2014-01-01T23:59:59.000Z

77

Analysis and Simulation of Fuel Consumption and Energy Throughput on a Parallel Diesel-Electric Hybrid Powertrain.  

E-Print Network (OSTI)

??The aim of this master thesis is to study the energy throughput and fuel consumption of a parallel diesel-electric hybrid vehicle. This has been done (more)

Gustafsson, Johanna

2009-01-01T23:59:59.000Z

78

The nexus of electricity consumption, economic growth and CO2 emissions in the BRICS countries  

Science Journals Connector (OSTI)

Abstract This study reexamines the causal link between electricity consumption, economic growth and CO2 emissions in the BRICS countries (i.e., Brazil, Russia, India, China, and South Africa) for the period 19902010, using panel causality analysis, accounting for dependency and heterogeneity across countries. Regarding the electricityGDP nexus, the empirical results support evidence on the feedback hypothesis for Russia and the conservation hypothesis for South Africa. However, a neutrality hypothesis holds for Brazil, India and China, indicating neither electricity consumption nor economic growth is sensitive to each other in these three countries. Regarding the GDPCO2 emissions nexus, a feedback hypothesis for Russia, a one-way Granger causality running from GDP to CO2 emissions in South Africa and reverse relationship from CO2 emissions to GDP in Brazil is found. There is no evidence of Granger causality between GDP and CO2 emissions in India and China. Furthermore, electricity consumption is found to Granger cause CO2 emissions in India, while there is no Granger causality between electricity consumption and CO2 emissions in Brazil, Russia, China and South Africa. Therefore, the differing results for the BRICS countries imply that policies cannot be uniformly implemented as they will have different effects in each of the BRICS countries under study.

Wendy N. Cowan; Tsangyao Chang; Roula Inglesi-Lotz; Rangan Gupta

2014-01-01T23:59:59.000Z

79

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

SciTech Connect

Building energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Calibrating models is costly because it is currently an art which requires significant manual effort by an experienced and skilled professional. An automated methodology could significantly decrease this cost and facilitate greater adoption of energy simulation capabilities into the marketplace. The Autotune project is a novel methodology which leverages supercomputing, large databases of simulation data, and machine learning to allow automatic calibration of simulations to match measured experimental data on commodity hardware. This paper shares initial results from the automated methodology applied to the calibration of building energy models (BEM) for EnergyPlus (E+) to reproduce measured monthly electrical data.

Garrett, Aaron [Jacksonville State University] [Jacksonville State University; New, Joshua Ryan [ORNL] [ORNL; Chandler, Theodore [Jacksonville State University] [Jacksonville State University

2013-01-01T23:59:59.000Z

80

Well-to-wheel Energy Consumption and Pollutant Emissions Comparison between Electric and Non-electric Vehicles: a Modeling Approach  

Science Journals Connector (OSTI)

Although electric vehicles (EVs) gain more and more popularity these years, the issue on whether they are really more environmentally and ecologically sound than non-electric vehicles, e.g. gasoline and diesel fuel burned internal combustion engine (ICE) vehicles has become a heat-debated one. This paper outlines an assessment model which intends to compare well-to-wheel energy consumption and pollutant emissions between \\{EVs\\} and non-electric ones, using Analytic Hierarchy Process (AHP) technique based on the potential environmental and ecological impact. The modeling in this case predicted that from the perspective of total energy consumption and pollution, further improvements are still necessary for the feasibility and widespread use of EVs.

Z.J. Li; X.L. Chen; M. Ding

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Developing a tool to estimate water withdrawal and consumption in electricity generation in the United States.  

SciTech Connect

Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.

Wu, M.; Peng, J. (Energy Systems); ( NE)

2011-02-24T23:59:59.000Z

82

The socio-economic, dwelling and appliance related factors affecting electricity consumption in domestic buildings  

Science Journals Connector (OSTI)

Abstract This paper aims to investigate the socio-economic, dwelling and appliance related factors that have significant or non-significant effects on domestic electricity consumption. To achieve this aim, a comprehensive literature review of international research investigating these factors was undertaken. Although papers examining the factors affecting electricity demand are numerous, to the authors knowledge, a comprehensive analysis taking stock of all previous findings has not previously been undertaken. The review establishes that no less than 62 factors potentially have an effect on domestic electricity use. This includes 13 socio-economic factors, 12 dwelling factors and 37 appliance factors. Of the 62 factors, four of the socio-economic factors, seven of the dwelling factors, and nine of the appliance related factors were found to unambiguously have a significant positive effect on electricity use. This paper contributes to a better understanding of those factors that certainly affect electricity consumption and those for which effects are unclear and require further research. Understanding the effects of factors can support both the implementation of effective energy policy and aid prediction of future electricity consumption in the domestic sector.

Rory V. Jones; Alba Fuertes; Kevin J. Lomas

2015-01-01T23:59:59.000Z

83

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

K-12 Energy Lesson Plans and Activities Web site (EERE)

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

84

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

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

85

Green Computing Wanted: Electricity Consumptions in the IT Industry and by Household Computers in Five Major Chinese Cities  

Science Journals Connector (OSTI)

Exhausted energy consumption becomes a world-wide issue nowadays. Computing contributes a large portion of energy consumption. The concept of green computing has been popularized. Along with the rapid development of China, energy issue becomes more and ... Keywords: energy/electricity consumption, IT industry, household computers, energy efficiency, green computing

Luyang Wang; Tao Wang

2011-08-01T23:59:59.000Z

86

Table 6b. Relative Standard Errors for Total Electricity Consumption per  

U.S. Energy Information Administration (EIA) Indexed Site

b. Relative Standard Errors for Total Electricity Consumption per b. Relative Standard Errors for Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption (trillion Btu) Electricity Intensities (thousand Btu) Per Square Foot Per Effective Occupied Square Foot All Buildings 4 5 4 4 Building Floorspace (Square Feet) 1,001 to 5,000 5 6 6 6 5,001 to 10,000 4 9 9 9 10,001 to 25,000 5 7 5 5 25,001 to 50,000 7 10 10 10 50,001 to 100,000 7 12 8 8 100,001 to 200,000 9 13 10 10 200,001 to 500,000 10 13 11 11 Over 500,000 26 18 18 21 Principal Building Activity Education 8 9 6 6 Food Sales and Service 8 9 8 7 Health Care 14 12 12 9 Lodging 11 22 16 16 Mercantile and Service 5 7 7 7 Office 6 10 7 6 Public Assembly 7 12 28 30 Public Order and Safety 18 29 18 18 Religious Worship 10 10 11 11 Warehouse and Storage

87

Energy Consumption  

Science Journals Connector (OSTI)

We investigated the relationship between electrical power consumption per capita and GDP per capita in 130 countries using the data reported by World Bank. We found that an electrical power consumption per capita...

Aki-Hiro Sato

2014-01-01T23:59:59.000Z

88

ELECTRICITY CONSUMPTION IN THE INDUSTRIAL SECTOR OF JORDAN: APPLICATION OF MULTIVARIATE LINEAR REGRESSION AND ADAPTIVE NEURO?FUZZY TECHNIQUES  

Science Journals Connector (OSTI)

In this study two techniques for modeling electricity consumption of the Jordanian industrial sector are presented: (i) multivariate linear regression and (ii) neuro?fuzzy models. Electricity consumption is modeled as function of different variables such as number of establishments number of employees electricity tariff prevailing fuel prices production outputs capacity utilizations and structural effects. It was found that industrial production and capacity utilization are the most important variables that have significant effect on future electrical power demand. The results showed that both the multivariate linear regression and neuro?fuzzy models are generally comparable and can be used adequately to simulate industrial electricity consumption. However comparison that is based on the square root average squared error of data suggests that the neuro?fuzzy model performs slightly better for future prediction of electricity consumption than the multivariate linear regression model. Such results are in full agreement with similar work using different methods for other countries.

M. Samhouri; A. Al?Ghandoor; R. H. Fouad

2009-01-01T23:59:59.000Z

89

Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature  

Science Journals Connector (OSTI)

This report provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. The water factors presented may be useful in modeling and policy analyses where reliable power plant level data are not available. Major findings of the report include: water withdrawal and consumption factors vary greatly across and within fuel technologies, and water factors show greater agreement when organized according to cooling technologies as opposed to fuel technologies; a transition to a less carbon-intensive electricity sector could result in either an increase or a decrease in water use, depending on the choice of technologies and cooling systems employed; concentrating solar power technologies and coal facilities with carbon capture and sequestration capabilities have the highest water consumption values when using a recirculating cooling system; and non-thermal renewables, such as photovoltaics and wind, have the lowest water consumption factors. Improved power plant data and further studies into the water requirements of energy technologies in different climatic regions would facilitate greater resolution in analyses of water impacts of future energy and economic scenarios. This report provides the foundation for conducting water use impact assessments of the power sector while also identifying gaps in data that could guide future research.

J Macknick; R Newmark; G Heath; K C Hallett

2012-01-01T23:59:59.000Z

90

Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature  

Open Energy Info (EERE)

content has been downloaded from IOPscience. Please scroll down to see the full text. content has been downloaded from IOPscience. Please scroll down to see the full text. Download details: IP Address: 192.174.37.50 This content was downloaded on 04/11/2013 at 23:01 Please note that terms and conditions apply. Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature View the table of contents for this issue, or go to the journal homepage for more 2012 Environ. Res. Lett. 7 045802 (http://iopscience.iop.org/1748-9326/7/4/045802) Home Search Collections Journals About Contact us My IOPscience IOP PUBLISHING ENVIRONMENTAL RESEARCH LETTERS Environ. Res. Lett. 7 (2012) 045802 (10pp) doi:10.1088/1748-9326/7/4/045802 Operational water consumption and withdrawal factors for electricity generating technologies:

91

Electricity consumption from renewable and non-renewable sources and economic growth: Evidence from Latin American countries  

Science Journals Connector (OSTI)

Abstract This study explores the effect of renewable and non-renewable electricity consumption on economic growth in 18 Latin American countries. To achieve the goal of this study a panel Gross Domestic Product (GDP) model was constructed taking the period 19802010 into account. From the Pedroni cointegration test results it was found that renewable electricity consumption, non-renewable electricity consumption, labor, gross fixed capital formation, and total trade are cointegrated. Moreover, the panel Dynamic Ordinary Least Squares (DOLS) test results revealed that all above the mentioned variables have a long run positive effect on GDP growth in the investigated countries. The Vector Error-Correction (VEC) Granger causality model results revealed the existence of feedback causality between the variables. The results of the study indicated that renewable electricity consumption is more significant than non-renewable electricity consumption in promoting economic growth in the investigated countries in the long run and the short run. Based on the results of this study, it is recommended that the investigated countries should increase their investment on renewable energy projects to increase the role of electricity consumption from renewable sources. In addition, it is essential that these countries should reduce their non-renewable electricity consumption by increasing their energy efficiency and implementing energy saving projects. By applying these recommendations, these countries would be able to mitigate global warming and reduce their dependency on fossil fuel to increase their energy security.

Usama Al-mulali; Hassan Gholipour Fereidouni; Janice Y.M. Lee

2014-01-01T23:59:59.000Z

92

Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates  

Science Journals Connector (OSTI)

Abstract The present study explores the relationship between economic growth, electricity consumption, urbanization and environmental degradation in case of United Arab Emirates (UAE). The study covers the quarter frequency data over the period of 19752011. We have applied the ARDL bounds testing approach to examine the long run relationship between the variables in the presence of structural breaks. The VECM Granger causality is applied to investigate the direction of causal relationship between the variables. Our empirical exercise reported the existence of cointegration among the series. Further, we found an inverted U-shaped relationship between economic growth and CO2 emissions i.e. economic growth raises energy emissions initially and declines it after a threshold point of income per capita (EKC exists). Electricity consumption declines CO2 emissions. The relationship between urbanization and CO2 emissions is positive. Exports seem to improve the environmental quality by lowering CO2 emissions. The causality analysis validates the feedback effect between CO2 emissions and electricity consumption. Economic growth and urbanization Granger cause CO2 emissions.

Muhammad Shahbaz; Rashid Sbia; Helmi Hamdi; Ilhan Ozturk

2014-01-01T23:59:59.000Z

93

Security analysis of the interaction between the UK gas and electricity transmission systems  

E-Print Network (OSTI)

Natural gas has become the UKs foremost primary energy source, providing some 39% of our energy needs. The National Transmission System (NTS) has developed from its humble beginnings when natural gas was first discovered ...

Whiteford, James Raymond George

2012-06-25T23:59:59.000Z

94

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

) falls and energy prices rises in one country may have little effect at the world level. Next, we examinewww.eprg.group.cam.ac.uk EPRGWORKINGPAPER Abstract The Economics of Energy (and Electricity) Demand-term trends of both energy and more specifically electricity consumption. This paper discusses some

Aickelin, Uwe

95

The effect of electricity consumption from renewable sources on countries? economic growth levels: Evidence from advanced, emerging and developing economies  

Science Journals Connector (OSTI)

Abstract This paper uses a sample of 36 countries for the time period 19902011 in order to examine the relationship between countries? electricity consumption from renewable sources and Gross Domestic Product (GDP) levels. Several nonparametric techniques are applied to investigate the effect of electricity consumption from several renewable sources including wind, geothermal, solar, biomass and waste on countries? GDP levels. When investigating the whole sample ignoring countries? economic development status, the results reveal an increasing relationship up to a certain GDP level, which after that point the effect of electricity consumption on GDP stabilises. However when analyzing separately the Emerging Markets and Developing Economies, and, the Advanced-Developed Economies, the results change significantly. For the case of Emerging Market and Developing Economies the relationship appears to be highly nonlinear (an M-shape form) indicating that on those countries the levels of electricity consumption from renewable sources will not result on higher GDP levels. In contrast for the case of the advanced economies the results reveal an increasing nonlinear relationship indicating that higher electricity consumption levels from renewable sources results to higher GDP levels. This finding is mainly attributed to the fact that in the advanced-developed economies more terawatts from renewable sources are generated and consumed compared to the emerging market and developing economies, which traditionally their economies rely on non-renewable sources for power generation and consumption.

George E. Halkos; Nickolaos G. Tzeremes

2014-01-01T23:59:59.000Z

96

Differentiated long term projections of the hourly electricity consumption in local areas. The case of Denmark West  

Science Journals Connector (OSTI)

Abstract Assessing grid developments the spatial distribution of the electricity consumption is important. In Denmark the electricity grid consists of transmission and local distribution grids with different voltages that are connected via transformer stations each covering a local area with between 10.000 and 100.000 customers. Data for the hourly electricity consumption at transformer stations shows that the profile of consumption differs considerably between local areas, and this is partly due to a different weight of categories of customers in the different areas. Categories of customers have quite distinct consumption profiles and contribute quite differently to the aggregated load profile. In forecasts, demand by categories of customers is expected to develop differently implying that both the level and the profile of consumption at each transformer stations are expected to change differently. Still, in the previous planning of the transmission grid in Denmark specific local conditions have not been considered. As a first step towards differentiated local load forecasts, the paper presents a new model for long term projections of consumption in local areas and illustrates a first use of the model related to the transmission grid planning by the Danish TSO Energinet.dk. The model is a distribution system that distributes hourly consumption in an aggregated area to hourly consumption at each transformer station. Using econometrics, the model is estimated on national statistics for the hourly consumption by categories of customers and data for the hourly consumption at each transformer station for the years 20092011. Applying the model for load forecasts, a major conclusion is that different transformer stations will experience different changes both in the level - and in the hourly profile of load.

F.M. Andersen; H.V. Larsen; N. Juul; R.B. Gaardestrup

2014-01-01T23:59:59.000Z

97

Impacts of Electric Vehicles on Primary Energy Consumption and Petroleum Displacement  

E-Print Network (OSTI)

L.von 2. The EV primary energy consumption relative to that~ Fig. 3. The EV primary energy consumption relative to thatVehicles on Primary Energy Consumption and Petroleum

Wang, Quanlu; Delucchi, Mark A.

1991-01-01T23:59:59.000Z

98

Please cite this article in press as: T. Zhang, et al., Modelling electricity consumption in office buildings: An agent based approach. Energy Buildings (2011), doi:10.1016/j.enbuild.2011.07.007  

E-Print Network (OSTI)

in revised form 20 May 2011 Accepted 7 July 2011 Keywords: Office energy consumption Agent-based simulation, catering and hot water. Thus, energy consumption in office buildings is one of the research areas which cause energy consumption. Yet in the UK the energy consumption in office buildings has been primarily

Aickelin, Uwe

99

The implications of using hydrocarbon fuels to generate electricity for hydrogen fuel powered automobiles on electrical capital, hydrocarbon consumption, and anthropogenic emissions  

Science Journals Connector (OSTI)

This paper considers some of the impacts of adopting hydrogen fuel cell powered electric automobiles in the US. The change will need significant adjustments to the electrical generation industry including additional capital and hydrocarbon fuel consumption as well as impacting anthropogenic greenhouse emissions. Examining the use of three fuels to generate hydrogen fuels, using three production methods, distributed in three geographic scenarios, we determine that while the change reduces anthropogenic greenhouse emissions with minimal additional electrical generation capital expenditures, it accelerates the use of natural gas. Electrolysis provides a sustainable, longer-term solution, but requires more capital investment in electrical generation and yields an increase in anthropogenic greenhouse emissions.

Derek Tittle; Jingwen Qu

2013-01-01T23:59:59.000Z

100

Transport energy consumption in mountainous roads. A comparative case study for internal combustion engines and electric vehicles in Andorra  

Science Journals Connector (OSTI)

Abstract This paper analyses transport energy consumption of conventional and electric vehicles in mountainous roads. A standard round trip in Andorra has been modelled in order to characterise vehicle dynamics in hilly regions. Two conventional diesel vehicles and their electric-equivalent models have been simulated and their performances have been compared. Six scenarios have been simulated to study the effects of factors such as orography, traffic congestion and driving style. The European fuel consumption and emissions test and Artemis urban driving cycles, representative of European driving cycles, have also been included in the comparative analysis. The results show that road grade has a major impact on fuel economy, although it affects consumption in different levels depending on the technology analysed. Electric vehicles are less affected by this factor as opposed to conventional vehicles, increasing the potential energy savings in a hypothetical electrification of the car fleet. However, electric vehicle range in mountainous terrains is lower compared to that estimated by manufacturers, a fact that could adversely affect a massive adoption of electric cars in the short term.

Oriol Travesset-Baro; Marti Rosas-Casals; Eric Jover

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

showing the energy flows in the building electrical loadfocus primarily on electrical energy, which represents thefor monitoring electrical energy. However, as wireless

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

102

Cumulative energy, emissions, and water consumption for geothermal electric power production  

Science Journals Connector (OSTI)

A life cycle analysis has been conducted on geothermal electricity generation. The technologies covered in the study include flash binary enhanced geothermal systems (EGS) and coproduced gas and electricity plants. The life cycle performance metrics quantified in the study include materials water and energy use and greenhouse gas (GHG) emissions. The life cycle stages taken into account were the plant and fuel cycle stages the latter of which includes fuel production and fuel use (operational). The plant cycle includes the construction of the plant wells and above ground piping and the production of the materials that comprise those systems. With the exception of geothermal flash plants GHG emissions from the plant cycle are generally small and the only such emissions from geothermal plants. Some operational GHGs arise from flash plants and though substantial when compared to other geothermal power plants these are nonetheless considerably smaller than those emitted from fossil fuel fired plants. For operational geothermal emissions an emission rate (g/kW h) distribution function vs. cumulative capacity was developed using California plant data. Substantial GHG emissions arise from coproduced facilities and two other renewable power plants but these are almost totally due to the production and use of natural gas and biofuels. Nonetheless those GHGs are still much less than those from fossil fuel fired plants. Though significant amounts of water are consumed for plant and well construction especially for well field stimulation of EGS plants they are small in comparison to estimated water consumed during plant operation. This also applies to air cooled plants which nominally should consume no water during operation. Considering that geothermal operational water use data are scarce our estimates show the lowest water consumption for flash and coproduced plants and the highest for EGS though the latter must be considered provisional due to the absence of field data. The EGS estimate was based on binary plant data.

J. L. Sullivan; C. Clark; J. Han; C. Harto; M. Wang

2013-01-01T23:59:59.000Z

103

Electricity Sector Liberalisation and Innovation: An Analysis of the UK Patenting Activities  

E-Print Network (OSTI)

-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF- AID SETS; PUBLIC ADDRESS SYSTEMS H04S: STEREOPHONIC SYSTEMS H04W: WIRELESS COMMUNICATIONS NETWORKS H05B: ELECTRIC HEATING; ELECTRIC LIGHTING NOT OTHERWISE PROVIDED FOR H05C: ELECTRIC... technological progress in the sector. In order to maintain the pace of innovation, we discuss the need for a framework for innovation systems that is commensurate with the incentive mechanisms of a liberalised sector. Keywords Electricity, patent, innovation...

Jamasb, Tooraj; Pollitt, Michael G.

104

On the impact of urban heat island and global warming on the power demand and electricity consumption of buildingsA review  

Science Journals Connector (OSTI)

Abstract Urban heat island and global warming increase significantly the ambient temperature. Higher temperatures have a serious impact on the electricity consumption of the building sector increasing considerably the peak and the total electricity demand. The present paper aims to collect, analyze and present in a comparative way existing studies investigating the impact of ambient temperature increase on electricity consumption. Analysis of eleven studies dealing with the impact of the ambient temperature on the peak electricity demand showed that for each degree of temperature increase, the increase of the peak electricity load varies between 0.45% and 4.6%. This corresponds to an additional electricity penalty of about 21 (10.4)W per degree of temperature increase and per person. In parallel, analysis of fifteen studies examining the impact of ambient temperature on the total electricity consumption, showed that the actual increase of the electricity demand per degree of temperature increase varies between 0.5% and 8.5%.

M. Santamouris; C. Cartalis; A. Synnefa; D. Kolokotsa

2014-01-01T23:59:59.000Z

105

Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption  

Buildings Energy Data Book (EERE)

1 1 Buildings Share of U.S. Electricity Consumption/Sales (Percent) Buildings Delivered Total | Total Industry Transportation Total (10^15 Btu) 1980 | 60.9% 38.9% 0.2% 100% | 7.15 1981 | 61.4% 38.5% 0.1% 100% | 7.33 1982 | 64.1% 35.7% 0.2% 100% | 7.12 1983 | 63.8% 36.1% 0.2% 100% | 7.34 1984 | 63.2% 36.7% 0.2% 100% | 7.80 1985 | 63.8% 36.0% 0.2% 100% | 7.93 1986 | 64.8% 35.1% 0.2% 100% | 8.08 1987 | 64.9% 34.9% 0.2% 100% | 8.38 1988 | 65.0% 34.8% 0.2% 100% | 8.80 1989 | 64.8% 35.0% 0.2% 100% | 9.03 1990 | 65.0% 34.9% 0.2% 100% | 9.26 1991 | 65.6% 34.3% 0.2% 100% | 9.42 1992 | 64.6% 35.2% 0.2% 100% | 9.43 1993 | 65.7% 34.1% 0.2% 100% | 9.76 1994 | 65.5% 34.3% 0.2% 100% | 10.01 1995 | 66.2% 33.6% 0.2% 100% | 10.28 1996 | 66.5% 33.3% 0.2% 100% | 10.58 1997 | 66.8% 33.0% 0.2% 100% | 10.73 1998 | 67.6% 32.2% 0.2% 100% | 11.14 1999 | 67.9% 32.0% 0.2% 100% | 11.30 2000 | 68.7% 31.1% 0.2% 100% | 11.67 2001 | 70.5% 29.4% 0.2% 100% |

106

Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case  

Science Journals Connector (OSTI)

Abstract Accurate and robust short-term load forecasting plays a significant role in electric power operations. This paper proposes a variant of genetic programming, improved by incorporating semantic awareness in algorithm, to address a short term load forecasting problem. The objective is to automatically generate models that could effectively and reliably predict energy consumption. The presented results, obtained considering a particularly interesting case of the South Italy area, show that the proposed approach outperforms state of the art methods. Hence, the proposed approach reveals appropriate for the problem of forecasting electricity consumption. This study, besides providing an important contribution to the energy load forecasting, confirms the suitability of genetic programming improved with semantic methods in addressing complex real-life applications.

Mauro Castelli; Leonardo Vanneschi; Matteo De Felice

2015-01-01T23:59:59.000Z

107

Categorization of residential electricity consumption as a basis for the assessment of the impacts of demand response actions  

Science Journals Connector (OSTI)

Abstract In a smart(er) grid context, the existence of dynamic tariffs and bidirectional communications will simultaneously allow and require an active role from the end-user concerning electricity management. However, the residential end-user will not be always available to manage energy resources and decide, based on price signals and preferences/needs, the best response actions to implement or the best usage of the electricity produced locally. Therefore, energy management systems are required to monitor consumption/generation/storage and to make the best decisions according to input signals and the user's needs and preferences. The design of adequate algorithms to be implemented in those systems require the prior characterization of domestic electricity demand and categorization of loads, according to availability, typical usage patterns, working cycles and technical constraints. Automated demand response actions must be tailored and chosen according to this previous analysis of load characteristics. In this paper, a characterization of household electricity consumption is presented and an operational categorization of end-use loads is proposed. The existing potential for demand response to a diversified set of management actions is described and a tool to assess the impact of implementing several actions with different rates of penetration of energy management systems is presented. The results obtained show the potential savings for the end-user and expected changes in the load diagram with a decrease of the aggregated peak electricity demand and a smoothed valley.

Ana Soares; lvaro Gomes; Carlos Henggeler Antunes

2014-01-01T23:59:59.000Z

108

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

consumption, long lifetime on batteries, low sample rates,instead of replying on batteries. At the same time, we arelow power operation on batteries is not required, since the

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

109

Sensitivity to electricity consumption in urban business and commercial area buildings according to climatic change  

Science Journals Connector (OSTI)

Recently, urban high temperature phenomenon has become a problem which results from human activities, the increase in energy consumption, and land-cover change in urban areas ... is increased and results in the d...

Kang-guk Lee; Sung-bum Kim; Won-hwa Hong

2012-03-01T23:59:59.000Z

110

Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption  

Buildings Energy Data Book (EERE)

3 3 U.S. Electricity Generation Input Fuel Consumption (Quadrillion Btu) Renewables Growth Rate Hydro. Oth(2) Total Nuclear Other (3) Total 2010-Year 1980 2.87 0.06 2.92 2.74 (1) 24.32 1981 2.72 0.06 2.79 3.01 (1) 24.49 1982 3.23 0.05 3.29 3.13 (1) 23.95 1983 3.49 0.07 3.56 3.20 (1) 24.60 1984 3.35 0.09 3.44 3.55 (1) 25.59 1985 2.94 0.11 3.05 4.08 (1) 26.09 1986 3.04 0.12 3.16 4.38 (1) 26.22 1987 2.60 0.13 2.73 4.75 (1) 26.94 1988 2.30 0.12 2.43 5.59 (1) 28.27 1989 2.81 0.41 3.22 5.60 (1) 29.88 1990 3.01 0.51 3.52 6.10 (1) 30.51 1991 2.98 0.56 3.54 6.42 (1) 30.87 1992 2.59 0.60 3.19 6.48 (1) 30.74 1993 2.86 0.62 3.48 6.41 (1) 31.86 1994 2.62 0.63 3.26 6.69 (1) 32.41 1995 3.15 0.60 3.75 7.08 (1) 33.50 1996 3.53 0.63 4.15 7.09 (1) 34.50 1997 3.58 0.64 4.22 6.60 (1) 34.90 1998 3.24 0.63 3.87 7.07 (1) 36.24 1999 3.22 0.66 3.87 7.61 (1) 36.99 2000 2.77 0.66 3.43 7.86 (1) 38.08 2001 2.21 0.55 2.76 8.03 (1) 37.25

111

Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing  

Science Journals Connector (OSTI)

Abstract As the installed capacity of wind generation in Ireland continues to increase towards an overall goal of 40% of electricity from renewable sources by 2020, it is inevitable that the frequency of wind curtailment occurrences will increase. Using this otherwise discarded energy by strategically increasing demand at times that would otherwise require curtailment has the potential to reduce the installed capacity of wind required to meet the national 2020 target. Considering two industrial electricity consumers, this study analyses the potential for the implementation of price based demand response by an industrial consumer to increase their proportional use of wind generated electricity by shifting their demand towards times of low prices. Results indicate that while curtailing during peak price times has little or no benefit in terms of wind energy consumption, demand shifting towards low price times is likely to increase a consumers consumption of wind generation by approximately 5.8% for every 10% saved on the consumers average unit price of electricity.

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

112

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

E. Kahn (2011). Electricity Consumption and Durable Housing:49 3.3.3. Pre-installation electricity consumption of CSIon Electricity Consumption .

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

113

The Consumption of Carbon in the Electric Arc. I. Variation with Current and Arc-Length. II. Influence upon the Luminous Radiation from the Arc  

Science Journals Connector (OSTI)

1 December 1915 research-article The Consumption of Carbon in the Electric Arc. I. Variation with Current and Arc-Length. II. Influence upon the Luminous Radiation from the...

1915-01-01T23:59:59.000Z

114

Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies  

SciTech Connect

Various studies have attempted to consolidate published estimates of water use impacts of electricity generating technologies, resulting in a wide range of technologies and values based on different primary sources of literature. The goal of this work is to consolidate the various primary literature estimates of water use during the generation of electricity by conventional and renewable electricity generating technologies in the United States to more completely convey the variability and uncertainty associated with water use in electricity generating technologies.

Macknick, J.; Newmark, R.; Heath, G.; Hallett, K. C.

2011-03-01T23:59:59.000Z

115

Predicting electricity consumption and cost for South African mines / S.S. (Stephen) Cox.  

E-Print Network (OSTI)

??Electricity costs in South Africa have risen steeply; there are a number of factors that have contributed to this increase. The increased costs have a (more)

Cox, Samuel Stephen

2013-01-01T23:59:59.000Z

116

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

energy flows in the building electrical load tree. . . . . . . . . . . . . . . . . . . . . . . .intrinsic property of energy load trees is additivity - thevisualization of energy flows in the load tree, as shown in

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

117

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network (OSTI)

Currently, total electricity consumption of furnaces isthe total furnace electricity consumption and are primarilyto calculate the electricity consumption during cooling

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

118

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network (OSTI)

in forecasting electricity consumption in the residentialmodeling, since household electricity consumption is largelyup forecasting of electricity consumption by combining

McNeil, Michael A.

2010-01-01T23:59:59.000Z

119

Effect of Heat and Electricity Storage and Reliability on Microgrid Viability: A Study of Commercial Buildings in California and New York States  

E-Print Network (OSTI)

battery Utility electricity consumption Electricity providedis expressed in electricity consumption of the electricis expressed in electricity consumption of the electric

Stadler, Michael

2009-01-01T23:59:59.000Z

120

Fact #840: September 29, 2014 World Renewable Electricity Consumption is Growing  

Energy.gov (U.S. Department of Energy (DOE))

Electricity generated from sources that are renewable hydroelectric power, bio-fuels, geothermal, solar, wind, wood, waste have grown 150% from 1980 to 2011 (latest year available). Of the...

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

A Clustering Model for Mining Consumption Patterns from Imprecise Electric Load Time Series Data  

Science Journals Connector (OSTI)

This paper presents a novel clustering model for mining patterns from imprecise electric load time series. The model consists of three components. First, it contains a process that deals with representation an...

Qiudan Li; Stephen Shaoyi Liao; Dandan Li

2006-01-01T23:59:59.000Z

122

Understanding Socio-Economic Driving Factors of Indonesian Households Electricity Consumption in Two Urban Areas  

Science Journals Connector (OSTI)

Indonesia is one of the most diverse countries in the world in terms of its society. Therefore, there are several different characteristics in daily practices, including in consuming electricity. In order to unde...

Muhammad Ery Wijaya; Tetsuo Tezuka

2012-01-01T23:59:59.000Z

123

Improvements in Test Protocols for Electric Vehicles to Determine Range and Total Energy Consumption  

Science Journals Connector (OSTI)

As electric vehicles have entered the market fairly recently, ... tested the same way as the ICE-driven cars with the exception that determining range is ... However, the current procedures address mainly primary...

Juhani Laurikko; Jukka Nuottimki

2013-01-01T23:59:59.000Z

124

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network (OSTI)

3 System Architecture 3.1 Building as a2.1 Energy Flows in Buildings . . . . . . . . 2.1.1 Electric2.3.2 Networking . . . . . . . . . . . . 2.4 Building Energy

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

125

Smart Beijing: Correlation of Urban Electrical Energy Consumption with Urban Environmental Sensing for Optimizing Distribution Planning  

E-Print Network (OSTI)

parameters (air quality, noise pollution, traffic levels, water quality, etc.) in a distributed manner and create anomolies in pollution levels in specific locations, such as sporting events, rallies and fairs pollution and a series of other social problems. The urban electrical energy development has also been

Beigl, Michael

126

A Supply Chain Network Perspective for Electric Power Generation, Supply, Transmission, and Consumption  

E-Print Network (OSTI)

the economics of power production. For example, new gas-fired combined cycle power plants are more effi- cientA Supply Chain Network Perspective for Electric Power Generation, Supply, Transmission the behavior of the various decision-makers, who operate in a decentralized manner and include power generators

Nagurney, Anna

127

Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption  

Buildings Energy Data Book (EERE)

7 7 U.S. Electric Power Sector Cumulative Power Plant Additions Needed to Meet Future Electricity Demand (1) Typical New Number of New Power Plants to Meet Demand Electric Generator Plant Capacity (MW) 2015 2020 2025 2030 2035 Coal Steam 1,300 7 8 8 8 8 Combined Cycle 540 28 29 43 79 130 Combustion Turbine/Diesel 148 62 105 174 250 284 Nuclear Power 2,236 1 3 3 3 4 Pumped Storage 147 (2) 0 0 0 0 0 Fuel Cells 10 0 0 0 0 0 Conventional Hydropower 20 (2) 20 47 81 125 185 Geothermal 50 9 26 41 62 81 Municipal Solid Waste 50 1 1 1 1 1 Wood and Other Biomass 50 5 5 5 5 6 Solar Thermal 100 9 9 9 9 9 Solar Photovoltaic 150 11 11 13 23 52 Wind 100 123 124 153 182 262 Total 277 372 538 760 1,041 Distributed Generation 148 (3) Note(s): Source(s): 1) Cumulative additions after Dec. 31, 2010. 2) Based on current stock average capacity. 3) Combustion turbine/diesel data used.

128

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace...

129

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

130

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of...

131

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

132

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of...

133

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of...

134

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

135

Simulation and analysis of a solar assisted heat pump system with two different storage types for high levels of PV electricity self-consumption  

Science Journals Connector (OSTI)

Abstract The incentives for PV-systems in Europe is being gradually lowered or ended. This makes a higher level of self-consumption interesting for owners of PV-systems. Sweden has an incentive of 35% of the investment cost for PV-systems. Unfortunately not all consumers can get this incentive. Therefore a high level of self-consumption will be necessary if the PV-systems are to be profitable in Sweden. A reference system with two different energy storage technologies is investigated in this paper. One system with 48kWh of batteries and one system with a hot water storage tank where the electricity is stored as heat. The research questions in this paper are: Which storage system gives the highest level of PV electricity self-consumption? Are the storage systems profitable with the assumptions made in this paper? What are the levelized costs of electricity (LCOE) for the reference system with different storage system? The system with batteries has a self-consumption of 89% of the annual PV-electricity output and the system with a hot water storage tank has 88%. The system with batteries has a levelized cost of electricity two times higher than the system with a hot water storage tank.

Richard Thygesen; Bjrn Karlsson

2014-01-01T23:59:59.000Z

136

Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption  

Buildings Energy Data Book (EERE)

5 5 U.S. Electric Utility and Nonutility Net Summer Electricity Generation Capacity (GW) Coal Steam Other Fossil Combine Cycle Combustion Turbine Nuclear Pumped Total 1980 0.0 1981 0.0 1982 0.0 1983 0.0 1984 0.0 1985 0.0 1986 0.0 1987 0.0 1988 0.0 1989 18.1 1990 19.5 1991 18.4 1992 21.2 1993 21.1 1994 21.2 1995 21.4 1996 21.1 1997 19.3 1998 19.5 1999 19.6 2000 19.5 2001 19.7 2002 20.4 2003 20.5 2004 20.8 2005 21.3 2006 21.5 2007 21.9 2008 21.9 2009 22.2 2010 22.2 2011 22.2 2012 22.2 2013 22.2 2014 22.2 2015 22.2 2016 22.2 2017 22.2 2018 22.2 2019 22.2 2020 22.2 2021 22.2 2022 22.2 2023 22.2 2024 22.2 2025 22.2 2026 22.2 2027 22.2 2028 22.2 2029 22.2 285.6 87.9 211.3 161.19 114.7 882.9 285.6 87.9 205.3 159.30 114.7 875.0 285.6 88.6 201.8 159.01 114.7 871.8 285.6 88.9 199.6 158.22 114.7 869.2 285.6 89.0 194.5 154.88 114.7 860.8 285.6 89.0 191.9 153.01 113.9 855.6 285.6 89.0 189.2 150.00 113.2

137

Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption  

Buildings Energy Data Book (EERE)

4 4 U.S. Electricity Net Generation, by Plant Type (Billion kWh) Renewables Growth Rate Hydr(1) Oth(2) Total CHP (3) Tot.(4) 2010-year 1980 276 6 282 N.A. 1981 261 6 267 N.A. 1982 309 5 314 N.A. 1983 332 6 339 N.A. 1984 321 9 330 N.A. 1985 281 11 292 N.A. 1986 291 12 302 N.A. 1987 250 12 262 N.A. 1988 223 12 235 N.A. 1989 269 28 297 42 1990 290 35 324 61 1991 286 38 324 72 1992 250 40 290 91 1993 278 42 320 108 1994 254 42 296 123 1995 305 39 345 141 1996 341 41 382 147 1997 351 41 392 148 1998 318 42 360 154 1999 315 44 359 155 2000 271 45 316 165 2001 214 39 253 170 2002 260 44 304 194 2003 272 45 317 196 2004 265 49 314 184 2005 267 53 320 180 2006 286 62 349 165 2007 246 71 317 177 2008 253 94 347 167 2009 272 113 384 159 2010 289 100 390 165 2011 296 172 468 159 2012 296 148 444 161 2013 297 172 469 158 2014 297 186 483 161 2015 297 197 494 160 2016 297 207 504 160 2017 297 212 510 161 2018 298 224 522 161 2019 298 230 528 161 2020 298 246 544 161 2021

138

Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption  

Buildings Energy Data Book (EERE)

6 6 U.S. Renewable Electric Utility and Nonutility Net Summer Electricity Generation Capacity (GW) Conv. Hydropower Geothermal Municipal Solid Waste Biomass Solar Thermal Solar PV Wind 1980 81.7 0.9 0.0 0.1 0.0 N.A. N.A. 1981 82.4 0.9 0.0 0.1 0.0 N.A. 0.0 1982 83.0 1.0 0.0 0.1 0.0 N.A. 0.0 1983 83.9 1.2 0.0 0.2 0.0 N.A. 0.0 1984 85.3 1.2 0.0 0.3 0.0 N.A. 0.0 1985 88.9 1.6 0.2 0.2 0.0 N.A. 0.0 1986 89.3 1.6 0.2 0.2 0.0 N.A. 0.0 1987 89.7 1.5 0.2 0.2 0.0 N.A. 0.0 1988 90.3 1.7 0.2 0.2 0.0 N.A. 0.0 1989 73.6 2.6 1.7 1.1 0.2 N.A. 1.5 1990 73.3 2.7 2.1 1.2 0.3 N.A. 1.8 1991 75.4 2.6 2.5 1.3 0.3 N.A. 1.9 1992 74.2 2.9 2.5 1.4 0.3 N.A. 1.8 1993 76.8 2.9 2.6 1.5 0.3 N.A. 1.8 1994 76.9 3.0 2.7 1.7 0.3 N.A. 1.7 1995 77.4 3.0 3.0 1.8 0.3 N.A. 1.7 1996 75.3 2.9 2.9 1.7 0.3 N.A. 1.7 1997 78.3 2.9 2.9 1.8 0.3 N.A. 1.6 1998 78.0 2.9 3.0 1.8 0.3 N.A. 1.7 1999 78.3 2.8 3.0 1.8 0.4 N.A. 2.3 2000 78.2 2.8 3.3 1.7 0.4 N.A. 2.4 2001 77.9 2.2

139

Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption  

Buildings Energy Data Book (EERE)

2 2 U.S. Electricity Generation Input Fuel Shares (Percent) Renewables Natural Gas Petroleum Coal Hydro. Oth(2) Total Nuclear Other (3) Total 1980 15.7% 10.8% 50.2% 11.8% 0.2% 12.1% 11.3% (1) 100% 1981 15.4% 9.0% 51.8% 11.2% 0.3% 11.4% 12.3% (1) 100% 1982 13.9% 6.6% 52.6% 13.6% 0.2% 13.8% 13.1% (1) 100% 1983 12.2% 6.3% 53.9% 14.3% 0.3% 14.6% 13.1% (1) 100% 1984 12.6% 5.1% 54.9% 13.2% 0.4% 13.5% 14.0% (1) 100% 1985 12.1% 4.2% 56.2% 11.3% 0.4% 11.8% 15.7% (1) 100% 1986 10.2% 5.6% 55.3% 11.7% 0.5% 12.1% 16.8% (1) 100% 1987 10.9% 4.7% 56.5% 9.7% 0.5% 10.2% 17.8% (1) 100% 1988 9.5% 5.6% 56.5% 8.2% 0.4% 8.6% 19.9% (1) 100% 1989 10.5% 5.7% 54.2% 9.4% 1.4% 10.8% 18.8% (1) 100% 1990 10.7% 4.2% 53.4% 9.9% 1.7% 11.6% 20.0% (1) 100% 1991 11.0% 3.9% 52.8% 9.7% 1.8% 11.5% 20.9% (1) 100% 1992 11.5% 3.2% 53.7% 8.4% 2.0% 10.4% 21.1% (1) 100% 1993 11.1% 3.5% 54.2% 9.0% 2.0% 11.0% 20.2% (1) 100% 1994 12.4% 3.3% 53.5%

140

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

Science Journals Connector (OSTI)

Abstract Worldwide implementation of demand side management (DSM) programs has had positive impacts on electrical energy consumption (EEC) and the examination of their effects on long-term forecasting is warranted. The objective of this study is to investigate the effects of historical DSM data on accuracy of EEC modeling and long-term forecasting. To achieve the objective, optimal artificial neural network (ANN) models based on improved particle swarm optimization (IPSO) and shuffled frog-leaping (SFL) algorithms are developed for EEC forecasting. For long-term EEC modeling and forecasting for the U.S. for 20102030, two historical data types used in conjunction with developed models include (i) EEC and (ii) socio-economic indicators, namely, gross domestic product, energy imports, energy exports, and population for 19672009 period. Simulation results from IPSO-ANN and SFL-ANN models show that using socio-economic indicators as input data achieves lower mean absolute percentage error (MAPE) for long-term EEC forecasting, as compared with EEC data. Based on IPSO-ANN, it is found that, for the U.S. EEC long-term forecasting, the addition of DSM data to socio-economic indicators data reduces MAPE by 36% and results in the estimated difference of 3592.8 MBOE (5849.9TWh) in EEC for 20102030.

F.J. Ardakani; M.M. Ardehali

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model  

Science Journals Connector (OSTI)

Abstract Electricity consumption forecasting has been always playing a vital role in power system management and planning. Inaccurate prediction may cause wastes of scarce energy resource or electricity shortages. However, forecasting electricity consumption has proven to be a challenging task due to various unstable factors. Especially, China is undergoing a period of economic transition, which highlights this difficulty. This paper proposes a time-varying-weight combining method, i.e. High-order Markov chain based Time-varying Weighted Average (HM-TWA) method to predict the monthly electricity consumption in China. HM-TWA first calculates the in-sample time-varying combining weights by quadratic programming for the individual forecasts. Then it predicts the out-of-sample time-varying adaptive weights through extrapolating these in-sample weights using a high-order Markov chain model. Finally, the combined forecasts can be obtained. In addition, to ensure that the sample data have the same properties as the required forecasts, a reasonable multi-step-ahead forecasting scheme is designed for HM-TWA. The out-of-sample forecasting performance evaluation shows that HM-TWA outperforms the component models and traditional combining methods, and its effectiveness is further verified by comparing it with some other existing models.

Weigang Zhao; Jianzhou Wang; Haiyan Lu

2014-01-01T23:59:59.000Z

142

A mixed integer nonlinear programming (MINLP) supply chain optimisation framework for carbon negative electricity generation using biomass to energy with CCS (BECCS) in the UK  

Science Journals Connector (OSTI)

Abstract The co-firing of biomass and fossil fuels in conjunction with CO2 capture and storage (CCS) has the potential to lead to the generation of relatively inexpensive carbon negative electricity. In this work, we use a mixed integer nonlinear programming (MINLP) model of carbon negative energy generation in the UK to examine the potential for existing power generation assets to act as a carbon sink as opposed to a carbon source. Via a Pareto front analysis, we examine the technical and economic compromises implicit in transitioning from a dedicated fossil fuel only to a carbon negative electricity generation network. A price of approximately 3050/tCO2 appears sufficient to incentivise a reduction of carbon intensity of electricity from a base case of 800kg/MWh to less than 100kg/MWh. However, the price required to incentivise the generation of carbon negative electricity is in the region of 120175/t of CO2. In order for biomass to energy with CCS (BECCS) to be commercially attractive, the power plants in question must operate at a high load factor and high rates of CO2 capture. The relative fuel cost is a key determinant of required carbon price. Increasing biomass availability also reduces the cost of generating carbon negative electricity; however one must be cognisant of land use change implications.

O. Akgul; N. Mac Dowell; L.G. Papageorgiou; N. Shah

2014-01-01T23:59:59.000Z

143

Modelling household electricity consumption.  

E-Print Network (OSTI)

??A number of conclusions are drawn, however given the limited and non-representative na- ture of the data on which the model is calibrated, these can (more)

de la Rue, Philip Martin

2010-01-01T23:59:59.000Z

144

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

USA. CEC, 2012. Electricity Consumption by Planning http://beyond their electricity consumption within each hour. Overwith significant electricity consumption. The variation in

Darghouth, Naim

2014-01-01T23:59:59.000Z

145

consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. Source National Renewable Energy Laboratory Date Released August 28th, 2012 (2 years ago) Date Updated Unknown Keywords coal consumption csp factors geothermal PV renewable energy technologies Water wind withdrawal Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon Operational water consumption and withdrawal factors for electricity generating technologies (xlsx, 32.3 KiB)

146

Commercial Buildings Energy Consumption and Expenditures 1992...  

U.S. Energy Information Administration (EIA) Indexed Site

1992 Consumption and Expenditures 1992 Consumption & Expenditures Overview Full Report Tables National estimates of electricity, natural gas, fuel oil, and district heat...

147

OpenEI - consumption  

Open Energy Info (EERE)

91/0 en Operational water 91/0 en Operational water consumption and withdrawal factors for electricity generating technologies http://en.openei.org/datasets/node/969 This dataset is from the report Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions.

License

148

One of These Homes is Not Like the Other: Residential Energy Consumption Variability  

E-Print Network (OSTI)

consumption. Total energy consumption (in thousand BTUs) waselectricity and total energy consumption. Because all homesin gas, electric, and total energy consumption. Removing

Kelsven, Phillip

2013-01-01T23:59:59.000Z

149

UK Climate Change Risk Assessment and National  

E-Print Network (OSTI)

UK Climate Change Risk Assessment and National Adaptation Programme Meg Patel Defra #12 change #12;Weather & climate impacts - economic, societal, environmental Water consumption per capita;Legislative Framework Climate Change Act 2008 Adaptation Reporting Power 2011 Climate Change Risk Assessment

Wirosoetisno, Djoko

150

Energy-efficiency standards for homes have the potential to reduce energy consumption and peak electrical demand.  

E-Print Network (OSTI)

The Issue Energy-efficiency standards for homes have the potential to reduce energy consumption HVAC system efficiency, including problems with airflows, refrigerant system components, and ductwork standards, but little data is available on the actu- al energy performance of new homes. The Solution

151

Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?  

E-Print Network (OSTI)

for 90% of household electricity consumption in China. Usinggives an annual electricity consumption of 12kWh assumingto look at is electricity consumption at the household

Letschert, Virginie

2010-01-01T23:59:59.000Z

152

Cost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure investment for reducing US gasoline consumption  

Science Journals Connector (OSTI)

Federal electric vehicle (EV) policies in the United States currently include vehicle purchase subsidies linked to EV battery capacity and subsidies for installing charging stations. We assess the cost-effectiveness of increased battery capacity vs. nondomestic charging infrastructure installation for plug-in hybrid electric vehicles as alternate methods to reduce gasoline consumption for cars, trucks, and \\{SUVs\\} in the US. We find across a wide range of scenarios that the least-cost solution is for more drivers to switch to low-capacity plug-in hybrid electric vehicles (short electric range with gasoline backup for long trips) or gasoline-powered hybrid electric vehicles. If more gasoline savings are needed per vehicle, nondomestic charging infrastructure installation is substantially more expensive than increased battery capacity per gallon saved, and both approaches have higher costs than US oil premium estimates. Cost effectiveness of all subsidies are lower under a binding fuel economy standard. Comparison of results to the structure of current federal subsidies shows that policy is not aligned with fuel savings potential, and we discuss issues and alternatives.

Scott B. Peterson; Jeremy J. Michalek

2013-01-01T23:59:59.000Z

153

Power translation chart kWh/d each GW / UK TWh/y / UK Mtoe/y / UK  

E-Print Network (OSTI)

Photovoltaics: 12 Energy crops: 9 Tide: 2.4 Wave: 2.3 Hydroelectricity: 0.09 Transport 35% Hot air 26% Hot water'`Safe and fair' UK (1990) UK (2005) 60% target 80% target UK Electricity kWh thermal energy exchange rate: 1 kWh 250 g of CO2 (oil, petrol) kWh(e) electrical energy is more costly: 1 kWh(e) 445 g of CO2 (gas) (Coal

MacKay, David J.C.

154

Future Air Conditioning Energy Consumption in Developing Countries and what can be done about it: The Potential of Efficiency in the Residential Sector  

E-Print Network (OSTI)

2004) Survey on Electricity Consumption Characteristics ofof residential electricity consumption in rapidly developingbusiness as usual electricity consumption by country/region

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

155

Essays on the Impact of Climate Change and Building Codes on Energy Consumption and the Impact of Ozone on Crop Yield  

E-Print Network (OSTI)

on Residen- iv tial Electricity Consumption 8 Introduction 9Observed residential electricity consumption 2003 to 2006total residential electricity consumption for 2006 by five-

Aroonruengsawat, Anin

2010-01-01T23:59:59.000Z

156

Investigation and Analysis of Energy Consumption and Cost of Electric Air Conditioning Systems in Civil Buildings in Changsha  

E-Print Network (OSTI)

based on the electric refrigeration. Among the heat sources, the prospect of gas boilers is better. In addition, the air source heat pump depends heavily on whether some crucial issues such as frost can be solved during its application. The water-source...

Xie, D.; Chen, J.; Zhang, G.; Zhang, Q.

2006-01-01T23:59:59.000Z

157

Eliminating Electricity Deficit through Energy Efficiency in India: An Evaluation of Aggregate Economic and Carbon Benefits  

E-Print Network (OSTI)

The cumulative electricity consumption deficit amounts toper unit of electricity consumption than the overalldata on value added and electricity consumption by sectors

Sathaye, Jayant

2010-01-01T23:59:59.000Z

158

Potential Benefits from Improved Energy Efficiency of Key Electrical Products: The Case of India  

E-Print Network (OSTI)

Thus, reduced electricity consumption from higher efficiencyestimated the daily electricity consumption from a survey ofby total commercial electricity consumption. The price of

McNeil, Michael; Iyer, Maithili; Meyers, Stephen; Letschert, Virginie; McMahon, James E.

2005-01-01T23:59:59.000Z

159

Appliances, Lighting, Electronics, and Miscellaneous Equipment Electricity Use in New Homes  

E-Print Network (OSTI)

contributor to annual electricity consumption, and certainplay in Other electricity consumption in new homes, andor range. Other electricity consumption was derived by

Brown, Richard E.; Rittelman, William; Parker, Danny; Homan, Gregory

2007-01-01T23:59:59.000Z

160

Electricity and Natural Gas Efficiency Improvements for Residential Gas Furnaces in the U.S.  

E-Print Network (OSTI)

by natural gas. Electricity consumption by a furnace blowerto the annual electricity consumption of a major appliance.not account for the electricity consumption of the appliance

Lekov, Alex; Franco, Victor; Meyers, Steve; McMahon, James E.; McNeil, Michael; Lutz, Jim

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Dynamics of Electricity Markets with Unknown Utility Functions: AnExtremum Seeking Control Approach  

E-Print Network (OSTI)

time and schedule the electricity consumption and productionclearing price. The electricity consumption of the consumerswhere x i is the electricity consumption of consumer i ? N

Ma, Kai; Hu, Guoqiang; Spanos, Costas J

2014-01-01T23:59:59.000Z

162

Effect of Heat and Electricity Storage and Reliability on Microgrid Viability: A Study of Commercial Buildings in California and New York States  

E-Print Network (OSTI)

charging kW Utility electricity consumption Electricityis expressed in electricity consumption of the electricis expressed in electricity consumption of the electric

Stadler, Michael

2009-01-01T23:59:59.000Z

163

Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations  

E-Print Network (OSTI)

4. Figure 5-5. 1993 Electricity Consumption Estimates by EndkWh/ft ) 1993 Electricity Consumption Estimates by End Useof Total) 1993 Electricity Consumption Estimates by End Use

Konopacki, S.J.

2010-01-01T23:59:59.000Z

164

Imagine a day, you drove your car without spilling a dime from your pocket? A day, you pay just a dollar bill for your monthly electrical energy consumption? Yes, this is what renewable energy resources does! We  

E-Print Network (OSTI)

pay just a dollar bill for your monthly electrical energy consumption? Yes, this is what renewable Imagine a day, you drove your car without spilling a dime from your pocket? A day, you energy resources does! We have means to achieve this if we make use of the natural resources

Kostic, Milivoje M.

165

Warming to Renewable Energy: Policies to Promote Renewable Heat in the UK.  

E-Print Network (OSTI)

??In 2009, the UK government set a target of achieving 15% of overall energy consumption from renewable sources by 2020, as part of the EU's (more)

Hawkins, Henry R.

2012-01-01T23:59:59.000Z

166

Office Buildings - Energy Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

Energy Consumption Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity, and natural gas consumed by office buildings was consumed by administrative or professional office buildings (Figure 2). Table 4. Energy Consumed by Office Buildings for Major Fuels, 2003 All Buildings Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Total Floorspace (million sq. ft.) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings 4,859 71,658 6,523 3,559 2,100 228 636 All Non-Mall Buildings 4,645 64,783 5,820 3,037 1,928 222 634 All Office Buildings 824 12,208 1,134 719 269 18 128 Type of Office Building

167

Warming to Renewable Energy: Policies to Promote Renewable Heat in the UK  

E-Print Network (OSTI)

In 2009, the UK government set a target of achieving 15% of overall energy consumption from renewable sources by 2020, as part of the EU's goals of reducing emission levels within the EU and increasing consumption from renewable energy sources...

Hawkins, Henry R.

2012-01-01T23:59:59.000Z

168

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

E-Print Network (OSTI)

B. Atanasiu (2006). Electricity Consumption and Efficiencywill see their electricity consumption rise significantly.the bulk of household electricity consumption in developing

Letschert, Virginie

2010-01-01T23:59:59.000Z

169

Survey Consumption  

Gasoline and Diesel Fuel Update (EIA)

fsidentoi fsidentoi Survey Consumption and 'Expenditures, April 1981 March 1982 Energy Information Administration Wasningtoa D '" N """"*"""*"Nlwr. . *'.;***** -. Mik>. I This publication is available from ihe your COr : 20585 Residential Energy Consumption Survey: Consum ption and Expendi tures, April 1981 Through March 1982 Part 2: Regional Data Prepared by: Bruce Egan This report was prepared by the Energy Information Administra tion, the independent statistical

170

Energy consumption and environmental pollution: a stochastic model  

Science Journals Connector (OSTI)

......indicated that total energy consumption in sugar beet production...pollution. Although energy consumption increased sugar beet yield...and found that hybrid and electric car technologies exhibit (efficiency...ergy efficiency, affects consumption choice by Swedish households......

Charles S. Tapiero

2009-07-01T23:59:59.000Z

171

Consumption & Efficiency - Data - U.S. Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Find statistics on energy consumption and efficiency across all fuel sources. + EXPAND ALL Residential Energy Consumption Survey Data Household characteristics Release Date: March 28, 2011 Survey data for occupied primary housing units. Residential Energy Consumption Survey (RECS)

172

Tobacco Consumption  

Science Journals Connector (OSTI)

Tobacco consumption is the use of tobacco products in different forms such as , , , water-pipes or tobacco products. Cigarettes and tobacco products containing tobacco are highly engineered so as to creat...

Martina Ptschke-Langer

2008-01-01T23:59:59.000Z

173

www.electricitypolicy.org.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

www.electricitypolicy.org.uk EPRGWORKINGPAPER Abstract Do homes that are more energy efficient consume less energy?: A structural equation model for England's residential sector EPRG Working Paper 1117 Cambridge Working Paper in Economics 1139 Scott Kelly Energy consumption from the residential sector

Aickelin, Uwe

174

US ENC IL Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

175

US ENC IL Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

IL IL Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC IL Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC IL Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC IL Expenditures dollars ELECTRICITY ONLY average per household * Illinois households use 129 million Btu of energy per home, 44% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Illinois households spending 2% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

176

US ENC MI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

177

US ENC MI Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

MI MI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC MI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC MI Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US ENC MI Expenditures dollars ELECTRICITY ONLY average per household * Michigan households use 123 million Btu of energy per home, 38% more than the U.S. average. * High consumption, combined with low costs for heating fuels compared to states with a similar climate, result in Michigan households spending 6% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers keeps average site electricity consumption in the state low relative to other parts of the U.S.

178

Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design  

Science Journals Connector (OSTI)

The literature concerning the application of information-feedback methods for saving energy in the home is reviewed. Particular attention is given to electronic feedback via smart meters and displays, or energy-consumption indicators (ECI). Previous studies have not focused on individual appliances, but this paper presents the findings of a UK field study involving 44 households which considered domestic cooking: it compares the effectiveness of providing paper-based energy-use/saving information with electronic feedback of energy-consumption via \\{ECIs\\} designed specifically for this investigation. Twelve Control Group households were monitored for a period of at least 12 months and this revealed an average daily consumption for electric cooking of 1.30kWh. Subsequently across a minimum monitoring period of 2 months, 14 out of 31 households achieved energy savings of greater than 10% and six of these achieved savings of greater than 20%. The average reduction for households employing an ECI was 15%, whereas those given antecedent information alone reduced their electricity consumption, on average, by only 3%. The associated behavioural changes and the importance of providing regular feedback during use are identified. It is recommended that further attention be given to optimising the design and assessing the use of energy-consumption indicators in the home, in order to maximise the associated energy-saving potential.

G. Wood; M. Newborough

2003-01-01T23:59:59.000Z

179

Consumption & Efficiency - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports An Assessment of EIA's Building Consumption Data Background image of CNSTAT logo The U.S. Energy Information Administration (EIA) routinely uses feedback from customers and outside experts to help improve its programs and products. As part of an assessment of its consumption

180

Natural Gas Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Lease Fuel Consumption Plant Fuel Consumption Pipeline & Distribution Use Volumes Delivered to Consumers Volumes Delivered to Residential Volumes Delivered to Commercial Consumers Volumes Delivered to Industrial Consumers Volumes Delivered to Vehicle Fuel Consumers Volumes Delivered to Electric Power Consumers Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 23,103,793 23,277,008 22,910,078 24,086,797 24,477,425 25,533,448 1949-2012 Alabama 418,512 404,157 454,456 534,779 598,514 666,738 1997-2012 Alaska 369,967 341,888 342,261 333,312 335,458 343,110 1997-2012

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

The Cultures of Consumption Programme funds research on the changing nature  

E-Print Network (OSTI)

The Cultures of Consumption Programme funds research on the changing nature of consumption of consumption, past and present. Research projects cover a wide range of subjects, from UK public services of Consumption Programme is the first to bring together experts from the social sciences and the arts

Everest, Graham R

182

US ENC WI Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

183

US ENC WI Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

120 120 US ENC WI Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ENC WI Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US ENC WI Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US ENC WI Expenditures dollars ELECTRICITY ONLY average per household * Wisconsin households use 103 million Btu of energy per home, 15% more than the U.S. average. * Lower electricity and natural gas rates compared to states with a similar climate, such as New York, result in households spending 5% less for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S.

184

US ESC TN Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

ESC TN ESC TN Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US ESC TN Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US ESC TN Site Consumption kilowatthours $0 $400 $800 $1,200 $1,600 US ESC TN Expenditures dollars ELECTRICITY ONLY average per household * Tennessee households consume an average of 79 million Btu per year, about 12% less than the U.S. average. * Average electricity consumption for Tennessee households is 33% higher than the national average and among the highest in the nation, but spending for electricity is closer to average due to relatively low electricity prices. * Tennessee homes are typically newer, yet smaller in size, than homes in other parts of the country.

185

Renewable Energy Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description Total annual renewable electricity consumption by country, 2005 to 2009 (available in Billion Kilowatt-hours or as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA renewable electricity Renewable Energy Consumption world Data text/csv icon total_renewable_electricity_net_consumption_2005_2009billion_kwh.csv (csv, 8.5 KiB) text/csv icon total_renewable_electricity_net_consumption_2005_2009quadrillion_btu.csv (csv, 8.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2005 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata

186

www.electricitypolicy.org.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

www.electricitypolicy.org.uk EPRGWORKINGPAPER Abstract Nuclear Power and Deregulated Electricity of running a nuclear generator in a deregulated electricity market. This paper explains the causes of the company's financial difficulties and argues that they do not amount to evidence that nuclear power cannot

Aickelin, Uwe

187

Designing electricity transmission auctions  

E-Print Network (OSTI)

The UK has ambitious plans for exploiting offshore wind for electricity production in order to meet its challenging target under the EU Renewable Energy Directive. This could involve investing up to 20bn in transmission assets to bring electricity...

Greve, Thomas; Pollitt, Michael G.

2012-10-26T23:59:59.000Z

188

Cost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure investment for reducing US gasoline consumption  

E-Print Network (OSTI)

backup for long trips) or gasoline-powered hybrid electric vehicles. If more gasoline savings are neededCost-effectiveness of plug-in hybrid electric vehicle battery capacity and charging infrastructure online 22 October 2012 Keywords: Plug-in hybrid electric vehicle Charging infrastructure Battery size a b

Michalek, Jeremy J.

189

Manufacturing Consumption of Energy 1994  

U.S. Energy Information Administration (EIA) Indexed Site

energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. energy data used in this report do not reflect adjustments for losses in electricity generation or transmission. 1 The manufacturing sector is composed of establishments classified in Standard Industrial Classification 20 through 39 of the U.S. economy as defined 2 by the Office of Management and Budget. The manufacturing sector is a part of the industrial sector, which also includes mining; construction; and agriculture, forestry, and fishing. The EIA also conducts energy consumption surveys in the residential, commercial buildings, and residential transportation sectors: the Residential Energy 3 Consumption Survey (RECS); the Commercial Buildings Energy Consumption Survey (CBECS); and, until recently, the Residential Transportation Energy Consumption Survey (RTECS).

190

Protean Electric Ltd | Open Energy Information  

Open Energy Info (EERE)

Electric Ltd Place: United Kingdom Sector: Vehicles Product: UK-based designer and manufacturer of a smaller, lighter motor systems for electric vehicles along with control power...

191

ELECTRIC  

Office of Legacy Management (LM)

you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY...

192

US WSC TX Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

193

US WSC TX Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

WSC TX WSC TX Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WSC TX Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US WSC TX Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US WSC TX Expenditures dollars ELECTRICITY ONLY average per household * Texas households consume an average of 77 million Btu per year, about 14% less than the U.S. average. * Average electricity consumption per Texas home is 26% higher than the national average, but similar to the amount used in neighboring states. * The average annual electricity cost per Texas household is $1,801, among the highest in the nation, although similar to other warm weather states like Florida. * Texas homes are typically newer, yet smaller in size, than homes in other parts of

194

Consumption Behavior in Investment/Consumption Problems  

Science Journals Connector (OSTI)

In this chapter we study the consumption behavior of an agent in the dynamic framework of consumption/investment decision making that allows the presence of a subsistence consumption level and the possibility of ...

E. L. Presman

1997-01-01T23:59:59.000Z

195

J. Phys. D: Appl. Phys. 32 (1999) 891897. Printed in the UK PII: S0022-3727(99)97527-7 Determination of the electrical  

E-Print Network (OSTI)

is applied to the electrodes. An electric arc discharge is created at the narrowest electrodes gap, Poland Received 14 September 1998, in final form 29 January 1999 Abstract. Gliding arc discharges-dimensional d.c. gliding arc discharge. This model can be used to estimate characteristics of the power source

196

Energy Events UK Ltd | Open Energy Information  

Open Energy Info (EERE)

UK Ltd UK Ltd Jump to: navigation, search Name Energy Events UK Ltd Place London, United Kingdom Zip SW19 1EX Product e² - Energy Solutions Expo is an event organiser dedicated to clean, efficient, sustainable energy consumption within the corporate world. Coordinates 51.506325°, -0.127144° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.506325,"lon":-0.127144,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

197

Consumption & Efficiency - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA) Indexed Site

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Technical Workshop on Behavior Economics Presentations Technical Workshop on Behavior Economics Presentations Cost of Natural Gas Used in Manufacturing Sector Has Fallen Graph showing Cost of Natural Gas Used in Manufacturing Sector Has Fallen Source: U.S. Energy Information Administration, Manufacturing Energy

198

ELECTRIC  

Office of Legacy Management (LM)

ELECTRIC ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A quantity of at lezst 5 grams would probably be sufficient for our purpose, and this was included in our 3@icntion for license to the Atonic Energy Coskqission.. This license has been approved, 2nd rre would Llp!Jreciate informztion as to how to ?r*oceed to obtain thit: m2teria.l.

199

Well-to-Wheel Analyses for Energy Consumption and Greenhouse Gas Emissions of Electric Vehicles Using Various Thermal Power Generation Technologies in China  

Science Journals Connector (OSTI)

We compared BEV with the conventional gasoline car, diesel car, and hybrid electric car in terms of total energy use and... According to definition from U.S. EPA, mid-size car is pointed to th...

Wei Shen; Weijian Han

2013-01-01T23:59:59.000Z

200

101. Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

1. Natural Gas Consumption 1. Natural Gas Consumption in the United States, 1930-1996 (Million Cubic Feet) Table Year Lease and Plant Fuel Pipeline Fuel Delivered to Consumers Total Consumption Residential Commercial Industrial Vehicle Fuel Electric Utilities Total 1930 ....................... 648,025 NA 295,700 80,707 721,782 NA 120,290 1,218,479 1,866,504 1931 ....................... 509,077 NA 294,406 86,491 593,644 NA 138,343 1,112,884 1,621,961 1932 ....................... 477,562 NA 298,520 87,367 531,831 NA 107,239 1,024,957 1,502,519 1933 ....................... 442,879 NA 283,197 85,577 590,865 NA 102,601 1,062,240 1,505,119 1934 ....................... 502,352 NA 288,236 91,261 703,053 NA 127,896 1,210,446 1,712,798 1935 ....................... 524,926 NA 313,498 100,187 790,563 NA 125,239 1,329,487 1,854,413 1936 ....................... 557,404 NA 343,346

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

US NE MA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

202

US NE MA Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

203

Household energy consumption and expenditures 1993  

SciTech Connect

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.

NONE

1995-10-05T23:59:59.000Z

204

UK Energy Statistics: Renewables and Waste, Commodity Balances (2010) |  

Open Energy Info (EERE)

403 403 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142288403 Varnish cache server UK Energy Statistics: Renewables and Waste, Commodity Balances (2010) Dataset Summary Description Annual commodity balances (supply, consumption) for renewables and waste in the UK from 1998 to 2009. Published as part of the Digest of UK energy statistics (DUKES), by the UK Department of Energy & Climate Change (DECC). Waste includes: wood waste, farm waste, sewage gas, landfill gas, waste and tyres. Renewables includes: wood, plant-based biomass, geothermal and active solar heat, hydro, wind, wave and tidal, and liquid biofuels. These data were used to produce Tables 7.1 to 7.3 in the Digest of United Kingdom Energy Statistics 2010 (available: http://decc.gov.uk/assets/decc/Statistics/publications/dukes/348-dukes-2...).

205

Table 3.3 Fuel Consumption, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

3 Fuel Consumption, 2002;" 3 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

206

Manufacturing Consumption of Energy 1994  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration/Manufacturing Consumption of Energy 1994 Energy Information Administration/Manufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas restructuring, gas pipelines were opened to multiple users. Manufacturers or their representatives could go directly to the wellhead to purchase their natural gas, arrange the transportation, and have the natural gas delivered either by the local distribution company or directly through a connecting pipeline. More recently, the electricity markets have been undergoing change. When Congress passed the Energy Policy Act of 1992, requirements were included not only to open access to the ownership of electricity generation, but also to open access to the transmission lines so that wholesale trade in electricity would be possible. Now several States, including California and

207

electricity.pdf  

NLE Websites -- All DOE Office Websites (Extended Search)

Electricity Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS) 1. Timely submission of this report is mandatory under Public Law 93-275, as amended. 2. This...

208

Electricity Monthly Update  

NLE Websites -- All DOE Office Websites (Extended Search)

and fuel consumption In this section, we look at the resources used to produce electricity. Generating units are chosen to run primarily on their operating costs, of which...

209

The UK nuclear option  

Science Journals Connector (OSTI)

The UK faces the need to reduce its greenhouse gas emissions. A decision has yet to be made to replace its currently retiring nuclear reactors with modern reactors, yet time is pressing if the UK is to meet its emission target and ensure security of its future energy supply.

Robert Hawley

2006-01-01T23:59:59.000Z

210

Electricity | Open Energy Information  

Open Energy Info (EERE)

Electricity Electricity Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report Full figure data for Figure 76. Reference Case Tables Table 1. Energy Consumption by Sector and Source - New England Table 2. Energy Consumption by Sector and Source - Middle Atlantic Table 3. Energy Consumption by Sector and Source - East North Central Table 4. Energy Consumption by Sector and Source - West North Central Table 5. Energy Consumption by Sector and Source - South Atlantic Table 6. Energy Consumption by Sector and Source - East South Central Table 7. Energy Consumption by Sector and Source - West South Central Table 8. Energy Consumption by Sector and Source - Mountain Table 9. Energy Consumption by Sector and Source - Pacific Table 9. Electricy Generating Capacity

211

Emissions and Fuel Consumption Test Results from a Plug-In Hybrid...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

and Fuel Consumption Test Results from a Plug-In Hybrid Electric School Bus Emissions and Fuel Consumption Test Results from a Plug-In Hybrid Electric School Bus 2010 DOE Vehicle...

212

Externality of Consumption  

Science Journals Connector (OSTI)

Externalities of consumption exist if one individual's consumption of agood or service has positive... utility of another person. Apositive externality increases ...

2008-01-01T23:59:59.000Z

213

US SoAtl GA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

214

US SoAtl GA Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

GA GA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl GA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl GA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl GA Expenditures dollars ELECTRICITY ONLY average per household * Site energy consumption (89.5 million Btu) and energy expenditures per household ($2,067) in Georgia are similar to the U.S. household averages. * Per household electricity consumption in Georgia is among the highest in the country, but similar to other states in the South. * Forty-five percent of homes in Georgia were built since 1990, a characteristic typically associated with lower per household consumption. Georgia homes,

215

US SoAtl VA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

216

US Mnt(S) AZ Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

Mnt(S) AZ Mnt(S) AZ Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(S) AZ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US Mnt(S) AZ Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US Mnt(S) AZ Expenditures dollars ELECTRICITY ONLY average per household * Arizona households use 66 million Btu of energy per home, 26% less than the U.S. average. * The combination of lower than average site consumption of all energy, but above average electricity which is relatively expensive, results in Arizona households spending 3% less for energy than the U.S. average. * More reliance on air conditioning keeps average site electricity consumption in the state high relative to other parts of the U.S.

217

US SoAtl VA Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

SoAtl VA SoAtl VA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US SoAtl VA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 4,000 8,000 12,000 16,000 US SoAtl VA Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 $1,800 US SoAtl VA Expenditures dollars ELECTRICITY ONLY average per household * Virginia households consume an average of 86 million Btu per year, about 4% less than the U.S. average. * Average electricity consumption and costs are higher for Virginia households than the national average, but similar to those in neighboring states where electricity is the most common heating fuel. * Virginia homes are typically newer and larger than homes in other parts of the country. CONSUMPTION BY END USE

218

State energy data report 1996: Consumption estimates  

SciTech Connect

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

NONE

1999-02-01T23:59:59.000Z

219

US Mnt(S) AZ Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

Mnt(S) AZ Mnt(S) AZ Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(S) AZ Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US Mnt(S) AZ Site Consumption kilowatthours $0 $500 $1,000 $1,500 $2,000 US Mnt(S) AZ Expenditures dollars ELECTRICITY ONLY average per household * Arizona households use 66 million Btu of energy per home, 26% less than the U.S. average. * The combination of lower than average site consumption of all energy, but above average electricity which is relatively expensive, results in Arizona households spending 3% less for energy than the U.S. average. * More reliance on air conditioning keeps average site electricity consumption in the state high relative to other parts of the U.S.

220

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Use: February 2014 Retail RatesPrices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based...

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: July 2014 Retail ratesprices and consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based...

222

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: August 2014 Retail ratesprices and consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based...

223

Consumption & Efficiency - Analysis & Projections - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Consumption & Efficiency Consumption & Efficiency Glossary › FAQS › Overview Data Residential Energy Consumption Survey Data Commercial Energy Consumption Survey Data Manufacturing Energy Consumption Survey Data Vehicle Energy Consumption Survey Data Energy Intensity Consumption Summaries Average cost of fossil-fuels for electricity generation All Consumption & Efficiency Data Reports Analysis & Projections All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports All Sectors Change category... All Sectors Commercial Buildings Efficiency Manufacturing Projections Residential Transportation All Reports Filter by: All Data Analysis Projections Today in Energy - Commercial Consumption & Efficiency Short, timely articles with graphs about recent commercial consumption and

224

www.electricitypolicy.org.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY  

E-Print Network (OSTI)

www.electricitypolicy.org.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector EPRG Working Paper 1117 Cambridge Working Paper in Economics 1139 Scott Kelly Energy consumption from the residential

Aickelin, Uwe

225

EIA - Natural Gas Consumption Data & Analysis  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption Consumption by End Use U.S. and State consumption by lease and plant, pipeline, and delivered to consumers by sector (monthly, annual). Number of Consumers Number of sales and transported consumers for residential, commercial, and industrial sectors by State (monthly, annual). State Shares of U.S. Deliveries By sector and total consumption (annual). Delivered for the Account of Others Commercial, industrial and electric utility deliveries; percentage of total deliveries by State (annual). Heat Content of Natural Gas Consumed Btu per cubic foot of natural gas delivered to consumers by State (annual) and other components of consumption for U.S. (annual). Natural Gas Weekly Update Analysis of current price, supply, and storage data; and a weather snapshot.

226

Population, Consumption & the Environment  

E-Print Network (OSTI)

12/11/2009 1 Population, Consumption & the Environment Alex de Sherbinin Center for International of carbon in 2001 · The ecological footprint, a composite measure of consumption measured in hectares kind of consumption is bad for the environment? 2. How are population dynamics and consumption linked

Columbia University

227

US WNC MO Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

WNC MO WNC MO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US WNC MO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 3,000 6,000 9,000 12,000 15,000 US WNC MO Site Consumption kilowatthours $0 $300 $600 $900 $1,200 $1,500 US WNC MO Expenditures dollars ELECTRICITY ONLY average per household * Missouri households consume an average of 100 million Btu per year, 12% more than the U.S. average. * Average household energy costs in Missouri are slightly less than the national average, primarily due to historically lower residential electricity prices in the state. * Missouri homes are typically larger than homes in other states and are more likely to be attached or detached single-family housing units.

228

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

4) 4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Coal Natural Gas c Petroleum Nuclear Electric Power Hydro- electric Power d Biomass e Other f Net Interstate Flow of Electricity/Losses g Residential Commercial Industrial b Transportation Alabama 2,159.7 853.9 404.0 638.5 329.9 106.5 185.0 0.1 -358.2 393.7 270.2 1,001.1 494.7 Alaska 779.1 14.1 411.8 334.8 0.0 15.0 3.3 0.1 0.0 56.4 63.4 393.4 266.0 Arizona 1,436.6 425.4 354.9 562.8 293.1 69.9 8.7 3.6 -281.7 368.5 326.0 231.2 511.0 Arkansas 1,135.9 270.2 228.9 388.3 161.1 36.5 76.0 0.6 -25.7 218.3 154.7 473.9 288.9 California 8,364.6 68.9 2,474.2 3,787.8 315.6 342.2

229

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9) 9) June 2011 State Energy Consumption Estimates 1960 Through 2009 2009 Consumption Summary Tables Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity/ Losses f Net Electricity Imports Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,906.8 631.0 473.9 583.9 1,688.8 415.4 272.9 -470.3 0.0 383.2 266.0 788.5 469.2 Alaska 630.4 14.5 344.0 255.7 614.1 0.0 16.3 0.0 (s) 53.4 61.0 325.4 190.6 Arizona 1,454.3 413.3 376.7 520.8 1,310.8 320.7 103.5 -279.9 -0.8 400.8 352.1 207.8 493.6 Arkansas 1,054.8 264.1 248.1 343.1 855.3 158.7 126.5 -85.7 0.0 226.3 167.0 372.5

230

Exposing Datapath Elements to Reduce Microprocessor Energy Consumption  

E-Print Network (OSTI)

to Reduce Microprocessor Energy Consumption by Mark Jerome Hampton Submitted to the Department of ElectricalExposing Datapath Elements to Reduce Microprocessor Energy Consumption by Mark Jerome Hampton B Submitted to the Department of Electrical Engineering and Computer Science in partial ful llment

231

Electricity Monthly Update - Energy Information Administration  

Annual Energy Outlook 2012 (EIA)

Electricity Glossary FAQS Overview Data Electricty Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers...

232

International Energy Outlook 1999 - Electricity  

Gasoline and Diesel Fuel Update (EIA)

electricity.gif (3233 bytes) electricity.gif (3233 bytes) Electricity continues to be the most rapidly growing form of energy consumption in the IEO99 projections. The strongest long-term growth in electricity consumption is projected for the developing countries of Asia. Long-term growth in electricity consumption is expected to be strongest in the developing economies of Asia, followed by Central and South America (Figure 64). In the reference case for the International Energy Outlook 1999 (IEO99), the projected growth rates for electricity consumption in the developing Asian nations average nearly 5 percent per year from 1996 to 2020 (Table 17). Electricity consumption growth in Central and South America is projected to exceed 4 percent between 1996 and 2020. The projected increases in electricity use are based on expectations of rapid

233

State energy data report 1994: Consumption estimates  

SciTech Connect

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

NONE

1996-10-01T23:59:59.000Z

234

CHARACTERISTICS OF IMPULSIVE NOISE IN ELECTRICITY SUBSTATIONS Qingshan Shan1  

E-Print Network (OSTI)

CHARACTERISTICS OF IMPULSIVE NOISE IN ELECTRICITY SUBSTATIONS Qingshan Shan1 , Shahzad Bhatti1.shan@eee.strath.ac.uk, website: www.strath.ac.uk ABSTRACT Measurements of noise in an electricity substation are re- ported-voltage electricity substations, has discouraged electricity utility companies from deploying wireless technologies

Atkinson, Robert C

235

Residential Energy Consumption Survey (RECS) - Energy Information  

NLE Websites -- All DOE Office Websites (Extended Search)

Consumption Survey (RECS) - U.S. Energy Information Consumption Survey (RECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels

236

US Mnt(N) CO Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

Mnt(N) CO Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in Colorado are 23% less than the national average, primarily due to historically lower natural gas prices in the state. * Average electricity consumption per household is lower than most other states, as Colorado residents do not commonly use electricity for main space heating, air

237

US Mnt(N) CO Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

Mnt(N) CO Mnt(N) CO Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US Mnt(N) CO Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US Mnt(N) CO Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US Mnt(N) CO Expenditures dollars ELECTRICITY ONLY average per household * Colorado households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Average household energy costs in Colorado are 23% less than the national average, primarily due to historically lower natural gas prices in the state. * Average electricity consumption per household is lower than most other states, as Colorado residents do not commonly use electricity for main space heating, air

238

" Column: Energy-Consumption Ratios;"  

U.S. Energy Information Administration (EIA) Indexed Site

" Level: National Data; " " Row: Values of Shipments within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per...

239

Research Councils UK Transforming  

E-Print Network (OSTI)

research is helping to accelerate the use of green energy technologies. RCUK has played a key role to help combat climate change, accelerate the deployment of green energy technologies and create newResearch Councils UK Transforming our energy future #12;Research funded by the Research Councils

Berzins, M.

240

A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy Design in the UK  

E-Print Network (OSTI)

residential energy consumers in the UK by considering property energy efficiency levels, the greenness1 A Three-Dimensional Model of Residential Energy Consumer Archetypes for Local Energy Policy lines of research in residential energy consumption in the UK, i.e. economic/infrastructure, behaviour

Aickelin, Uwe

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

6 6 State Energy Data 2011: Consumption Table C11. Energy Consumption by Source, Ranked by State, 2011 Rank Coal Natural Gas a Petroleum b Retail Electricity Sales State Trillion Btu State Trillion Btu State Trillion Btu State Trillion Btu 1 Texas 1,695.2 Texas 3,756.9 Texas 5,934.3 Texas 1,283.1 2 Indiana 1,333.4 California 2,196.6 California 3,511.4 California 893.7 3 Ohio 1,222.6 Louisiana 1,502.9 Louisiana 1,925.7 Florida 768.0 4 Pennsylvania 1,213.0 New York 1,246.9 Florida 1,680.3 Ohio 528.0 5 Illinois 1,052.2 Florida 1,236.6 New York 1,304.0 Pennsylvania 507.6 6 Kentucky 1,010.6 Pennsylvania 998.6 Pennsylvania 1,255.6 New York 491.5

242

Manufacturing consumption of energy 1994  

SciTech Connect

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.

NONE

1997-12-01T23:59:59.000Z

243

CSV File Documentation: Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption The State Energy Data System (SEDS) comma-separated value (CSV) files contain consumption estimates shown in the tables located on the SEDS website. There are four files that contain estimates for all states and years. Consumption in Physical Units contains the consumption estimates in physical units for all states; Consumption in Btu contains the consumption estimates in billion British thermal units (Btu) for all states. There are two data files for thermal conversion factors: the CSV file contains all of the conversion factors used to convert data between physical units and Btu for all states and the United States, and the Excel file shows the state-level conversion factors for coal and natural gas in six Excel spreadsheets. Zip files are also available for the large data files. In addition, there is a CSV file for each state, named

244

World energy consumption  

SciTech Connect

Historical and projected world energy consumption information is displayed. The information is presented by region and fuel type, and includes a world total. Measurements are in quadrillion Btu. Sources of the information contained in the table are: (1) history--Energy Information Administration (EIA), International Energy Annual 1992, DOE/EIA-0219(92); (2) projections--EIA, World Energy Projections System, 1994. Country amounts include an adjustment to account for electricity trade. Regions or country groups are shown as follows: (1) Organization for Economic Cooperation and Development (OECD), US (not including US territories), which are included in other (ECD), Canada, Japan, OECD Europe, United Kingdom, France, Germany, Italy, Netherlands, other Europe, and other OECD; (2) Eurasia--China, former Soviet Union, eastern Europe; (3) rest of world--Organization of Petroleum Exporting Countries (OPEC) and other countries not included in any other group. Fuel types include oil, natural gas, coal, nuclear, and other. Other includes hydroelectricity, geothermal, solar, biomass, wind, and other renewable sources.

NONE

1995-12-01T23:59:59.000Z

245

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the  

E-Print Network (OSTI)

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time://ima.ac.uk/dent 2 The James Hutton Institute, Aberdeen, UK Abstract. UK electricity market changes provide opportunities to alter households' electricity usage patterns for the benefit of the overall elec- tricity

Aickelin, Uwe

246

Finding the creatures of habit; Clustering households based on their flexibility in using electricity  

E-Print Network (OSTI)

electricity Ian Dent, Uwe Aickelin and Tom Rodden School of Computer Science University of Nottingham, UK, AB15 8QH tony.craig@hutton.ac.uk ABSTRACT Changes in the UK electricity market, particularly to change households' electricity usage patterns for the benefit of the overall sys- tem. Users show

Aickelin, Uwe

247

Electric Power Consumption of Natural Gas (Summary)  

Gasoline and Diesel Fuel Update (EIA)

613,004 733,992 905,868 898,441 749,379 636,285 2001-2013 613,004 733,992 905,868 898,441 749,379 636,285 2001-2013 Alabama 21,814 29,325 30,779 33,496 26,773 26,791 2001-2013 Alaska 2,660 2,667 2,549 2,509 2,322 2,440 2001-2013 Arizona 9,608 23,656 32,223 32,612 25,355 15,157 2001-2013 Arkansas 5,777 10,363 10,497 10,091 7,482 6,116 2001-2013 California 56,457 66,002 82,047 82,511 82,139 69,457 2001-2013 Colorado 6,136 8,848 10,258 9,801 8,839 5,479 2001-2013 Connecticut 9,363 8,491 11,393 9,827 9,182 8,042 2001-2013 Delaware 3,353 3,645 5,026 4,157 3,895 3,483 2001-2013 District of Columbia -- -- -- -- -- -- 2001-2013 Florida 86,344 96,637 96,912 107,377 95,708 93,341 2001-2013 Georgia 21,096 26,054 24,911 28,011 26,038 24,806 2001-2013 Hawaii -- -- -- -- -- -- 2001-2013

248

Electric Power Consumption of Natural Gas (Summary)  

Gasoline and Diesel Fuel Update (EIA)

6,841,408 6,668,379 6,872,533 7,387,184 7,573,863 9,110,793 6,841,408 6,668,379 6,872,533 7,387,184 7,573,863 9,110,793 1997-2012 Alabama 175,736 164,266 227,015 281,722 342,841 401,306 1997-2012 Alaska 40,901 43,199 38,078 39,732 41,738 39,758 1997-2012 Arizona 280,156 283,817 261,904 224,430 180,966 228,818 1997-2012 Arkansas 63,594 64,188 83,266 96,553 107,014 129,059 1997-2012 California 834,286 857,867 808,928 736,092 616,564 855,342 1997-2012 Colorado 123,788 106,454 115,234 92,657 85,015 86,309 1997-2012 Connecticut 73,627 59,354 70,864 85,144 107,897 114,054 1997-2012 Delaware 13,493 11,181 10,990 24,383 38,984 53,295 1997-2012 District of Columbia -- -- -- -- 1,003 W 1997-2012 Florida 772,968 797,266 913,672 981,750 1,043,786 1,138,771 1997-2012 Georgia

249

Electric Power Consumption of Natural Gas (Summary)  

U.S. Energy Information Administration (EIA) Indexed Site

563,306 614,637 735,693 906,613 899,337 749,910 2001-2013 563,306 614,637 735,693 906,613 899,337 749,910 2001-2013 Alabama 22,145 21,858 29,207 30,646 33,364 26,650 2001-2013 Alaska 3,075 2,783 2,821 2,544 3,068 2,326 2001-2013 Arizona 11,182 9,607 23,660 32,289 32,627 25,375 2001-2013 Arkansas 5,244 5,913 10,480 10,623 10,213 7,597 2001-2013 California 49,432 54,781 66,503 83,228 83,193 83,324 2001-2013 Colorado 6,213 6,120 8,902 10,615 10,089 8,938 2001-2013 Connecticut 8,518 9,607 8,698 11,622 10,062 9,318 2001-2013 Delaware 2,642 3,411 4,471 5,115 4,230 3,887 2001-2013 District of Columbia -- -- -- -- -- -- 2001-2013 Florida 79,903 86,424 96,667 97,039 107,430 95,668 2001-2013 Georgia 20,533 21,175 26,102 24,963 28,053 26,086 2001-2013 Hawaii -- -- -- -- -- -- 2001-2013

250

Worldwide electricity consumption of communication networks  

Science Journals Connector (OSTI)

There is a growing research interest in improving the energy efficiency of communication networks. In order to assess the impact of introducing new energy efficient technologies, an...

Lambert, Sofie; Van Heddeghem, Ward; Vereecken, Willem; Lannoo, Bart; Colle, Didier; Pickavet, Mario

2012-01-01T23:59:59.000Z

251

Issues in International Energy Consumption Analysis: Electricity...  

U.S. Energy Information Administration (EIA) Indexed Site

usage in a developing country. Relationships between these factors are important for energy planning in India and around the globe. Just as electrification was a huge undertaking...

252

Analysis of Complexity and Power Consumption in DSP-Based Optical Modulation Formats  

E-Print Network (OSTI)

of about 1 watt without considering thermoelectric cooler (TEC), which is used to normalize the power consumption of the various 400 GbE modulation format schemes considered here. The transceiver power consumption for each scheme takes into account all... , 39, 14021405, (2014). [13] J. J. Lee, et al., Predication of TEC Power Consumption for Cooled Laser Diode Module, in proceeding of LEOS, Paper WW3, (2004). Acknowledgments This work was supported by UK EPSRC via the INTERNET project. ...

Wei, J. L.; Cheng, Q.; Penty, R. V.; White, I. H.

2014-07-17T23:59:59.000Z

253

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

Table C13. Total Electricity Consumption and Expenditures for Non-Mall Buildings, 2003 All Buildings* Using Electricity Electricity Consumption Electricity Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Primary Site Total (million dollars) Total (trillion Btu) Total (trillion Btu) Total (billion kWh) All Buildings* ............................... 4,404 63,307 14.4 9,168 3,037 890 69,032 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,384 6,346 2.7 1,164 386 113 10,348 5,001 to 10,000 .............................. 834 6,197 7.4 790 262 77 7,296 10,001 to 25,000 ............................ 727 11,370 15.6 1,229 407 119 10,001

254

Commercial Buildings Energy Consumption and Expenditures 1992 - Executive  

U.S. Energy Information Administration (EIA) Indexed Site

& Expenditures > Executive Summary & Expenditures > Executive Summary 1992 Consumption & Expenditures Executive Summary Commercial Buildings Energy Consumption and Expenditures 1992 presents statistics about the amount of energy consumed in commercial buildings and the corresponding expenditures for that energy. These data are based on the 1992 Commercial Buildings Energy Consumption Survey (CBECS), a national energy survey of buildings in the commercial sector, conducted by the Energy Information Administration (EIA) of the U.S. Department of Energy. Figure ES1. Energy Consumption is Commercial Buidings by Energy Source, 1992 Energy Consumption: In 1992, the 4.8 million commercial buildings in the United States consumed 5.5 quadrillion Btu of electricity, natural gas, fuel oil, and district heat. Of those 5.5 quadrillion Btu, consumption of site electricity accounted for 2.6 quadrillion Btu, or 48.0 percent, and consumption of natural gas accounted for 2.2 quadrillion Btu, or 39.6 percent. Fuel oil consumption made up 0.3 quadrillion Btu, or 4.0 percent of the total, while consumption of district heat made up 0.4 quadrillion Btu, or 7.9 percent of energy consumption in that sector. When the energy losses that occur at the electricity generating plants are included, the overall energy consumed by commercial buildings increases to about 10.8 quadrillion Btu (Figure ES1).

255

Modeling energy consumption of residential furnaces and boilers in U.S. homes  

E-Print Network (OSTI)

ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .ENERGY CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . .28 ENERGY CONSUMPTION

Lutz, James; Dunham-Whitehead, Camilla; Lekov, Alex; McMahon, James

2004-01-01T23:59:59.000Z

256

Transportation Energy Consumption Surveys  

U.S. Energy Information Administration (EIA) Indexed Site

Energy Consumption (RTECS) - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses...

257

The Consumption of a Finite Planet: Well-Being, Convergence, Divergence and the Nascent Green Economy  

Science Journals Connector (OSTI)

Global oil consumption amounted to 9 billion barrels per day ... daily oil. Some have predicted that oil consumption will be falling by 2020, not because ... hybrid cars are becoming more popular. However, electric car

Jules Pretty

2013-08-01T23:59:59.000Z

258

Manufacturing Consumption of Energy 1994  

U.S. Energy Information Administration (EIA) Indexed Site

A24. A24. Total Inputs of Energy for Heat, Power, and Electricity Generation by Program Sponsorship, Industry Group, Selected Industries, and Type of Energy- Management Program, 1994: Part 1 (Estimates in Trillion Btu) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 285 SIC Management Any Type of Sponsored Self-Sponsored Sponsored Sponsored Code Industry Group and Industry Program Sponsorship Involvement Involvement Involvement Involvement a No Energy Electric Utility Government Third Party Type of Sponsorship of Management Programs (1992 through 1994) RSE Row Factors Federal, State, or Local RSE Column Factors: 0.7 1.1 1.0 0.7 1.9 0.9 20-39 ALL INDUSTRY GROUPS Participation in One or More of the Following Types of Programs . .

259

Manufacturing Consumption of Energy 1994  

U.S. Energy Information Administration (EIA) Indexed Site

A9. A9. Total Inputs of Energy for Heat, Power, and Electricity Generation by Fuel Type, Census Region, and End Use, 1994: Part 1 (Estimates in Btu or Physical Units) See footnotes at end of table. Energy Information Administration/Manufacturing Consumption of Energy 1994 166 End-Use Categories (trillion Btu) kWh) (1000 bbl) (1000 bbl) cu ft) (1000 bbl) tons) (trillion Btu) Total (million Fuel Oil Diesel Fuel (billion LPG (1000 short Other Net Distillate Natural and Electricity Residual Fuel Oil and Gas Breeze) a b c Coal (excluding Coal Coke d RSE Row Factors Total United States RSE Column Factors: NF 0.5 1.3 1.4 0.8 1.2 1.2 NF TOTAL INPUTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,515 778,335 70,111 26,107 5,962 25,949 54,143 5,828 2.7 Indirect Uses-Boiler Fuel . . . . . . . . . . . . . . . . . . . . . . . --

260

Natural gas consumption | OpenEI  

Open Energy Info (EERE)

gas consumption gas consumption Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 136, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural gas consumption Data application/vnd.ms-excel icon AEO2011: Natural Gas Consumption by End-Use Sector and Census Division- Reference Case (xls, 138.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)  

Science Journals Connector (OSTI)

Abstract Climate change and global warming as the main human societies threats are fundamentally associated with energy consumption and GHG emissions. The residential sector, representing 27% and 17% of global energy consumption and CO2 emissions, respectively, has a considerable role to mitigate global climate change. Ten countries, including China, the US, India, Russia, Japan, Germany, South Korea, Canada, Iran, and the UK, account for two-thirds of global CO2 emissions. Thus, these countries residential energy consumption and GHG emissions have direct, significant effects on the world environment. The aim of this paper is to review the status and current trends of energy consumption, CO2 emissions and energy policies in the residential sector, both globally and in those ten countries. It was found that global residential energy consumption grew by 14% from 2000 to 2011. Most of this increase has occurred in developing countries, where population, urbanization and economic growth have been the main driving factors. Among the ten studied countries, all of the developed ones have shown a promising trend of reduction in CO2 emissions, apart from the US and Japan, which showed a 4% rise. Globally, the residential energy market is dominated by traditional biomass (40% of the total) followed by electricity (21%) and natural gas (20%), but the total proportion of fossil fuels has decreased over the past decade. Energy policy plays a significant role in controlling energy consumption. Different energy policies, such as building energy codes, incentives, energy labels have been employed by countries. Those policies can be successful if they are enhanced by making them mandatory, targeting net-zero energy building, and increasing public awareness about new technologies. However, developing countries, such as China, India and Iran, still encounter with considerable growth in GHG emissions and energy consumption, which are mostly related to the absence of strong, efficient policy.

Payam Nejat; Fatemeh Jomehzadeh; Mohammad Mahdi Taheri; Mohammad Gohari; Muhd Zaimi Abd. Majid

2015-01-01T23:59:59.000Z

262

Retail electricity competition  

E-Print Network (OSTI)

We analyze a number of unstudied aspects of retail electricity competition. We first explore the implications of load profiling of consumers whose traditional meters do not allow for measurement of their real time consumption, ...

Joskow, Paul L.

2004-01-01T23:59:59.000Z

263

Bounds on the Energy Consumption of Computational Andrew Gearhart  

E-Print Network (OSTI)

Bounds on the Energy Consumption of Computational Kernels Andrew Gearhart Electrical Engineering Fall 2014 #12;Bounds on the Energy Consumption of Computational Kernels Copyright 2014 by Andrew Scott, little consideration was given to the potential energy efficiency of algorithms them- selves. A dominant

California at Berkeley, University of

264

Energy Consumption Patterns of the Rural Photovoltaic Market In Spain  

Science Journals Connector (OSTI)

This paper presents an analysis of the energy consumption of photovoltaic-powered rural dwellings in a representative region of Spain. We have measured the actual consumed electrical energy in several dwelling...

A. Krenzinger; M. Montero

1987-01-01T23:59:59.000Z

265

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network (OSTI)

global and country-specific estimates of total energyglobal and country-specific estimates of total energytotal global electricity consumption is about 5,000 TWh 68 , the energy

Park, Won Young

2011-01-01T23:59:59.000Z

266

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

1A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 1A. Electricity Consumption and Conditional Energy Intensity by Building Size for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet 1,001 to 10,000 Square Feet 10,001 to 100,000 Square Feet Over 100,000 Square Feet All Buildings ................................ 201 412 431 13,124 31,858 25,200 15.3 12.9 17.1 Principal Building Activity Education ....................................... 9 55 45 806 5,378 3,687 11.1 10.2 12.2 Food Sales ..................................... 36 24 Q 747 467 Q 48.8 51.1 Q

267

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 0A. Electricity Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 Zone 1 Zone 2 Zone 3 Zone 4 Zone 5 All Buildings .............................. 137 254 189 261 202 11,300 18,549 12,374 17,064 10,894 12.1 13.7 15.3 15.3 18.5 Building Floorspace (Square Feet) 1,001 to 5,000 ............................. 19 27 14 32 23 1,210 1,631 923 1,811 903 15.7 16.4 15.0 17.8 25.8 5,001 to 10,000 ........................... 12 18 15 27 14 1,175 1,639 1,062 1,855 914 10.2 10.9 14.3 14.3 15.5

268

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) North- east Mid- west South West North- east Mid- west South West North- east Mid- west South West All Buildings ................................ 172 234 452 185 13,899 17,725 26,017 12,541 12.4 13.2 17.4 14.7 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 14 30 52 19 1,031 1,742 2,410 1,296 13.5 17.4 21.5 14.6 5,001 to 10,000 .............................. 11 17 37 21 1,128 1,558 2,640 1,319 9.8 10.8 14.0 15.8 10,001 to 25,000 ............................ 22 33 59 28 2,094 3,317 4,746 2,338 10.4 10.0 12.5 12.1

269

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 8A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) West North Central South Atlantic East South Central West North Central South Atlantic East South Central West North Central South Atlantic East South Central All Buildings ................................ 66 254 57 5,523 13,837 3,546 12.0 18.3 16.2 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 10 28 7 821 1,233 481 12.4 22.4 15.4 5,001 to 10,000 .............................. 7 20 5 681 1,389 386 10.8 14.4 13.3 10,001 to 25,000 ............................ 9 31 12 1,204 2,411 842 7.8 12.8 14.1

270

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 9A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) West South Central Moun- tain Pacific West South Central Moun- tain Pacific West South Central Moun- tain Pacific All Buildings ................................ 141 68 117 8,634 4,165 8,376 16.3 16.3 14.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 17 7 12 696 439 857 24.1 15.7 14.0 5,001 to 10,000 .............................. 12 5 15 865 451 868 13.8 12.1 17.7 10,001 to 25,000 ............................ 16 12 16 1,493 933 1,405 11.0 13.0 11.5

271

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 2A. Electricity Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings ................................ 162 538 343 17,509 32,945 19,727 9.2 16.3 17.4 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 24 54 38 2,072 2,767 1,640 11.4 19.4 23.0 5,001 to 10,000 .............................. 16 41 29 1,919 3,154 1,572 8.2 13.0 18.4 10,001 to 25,000 ............................ 28 69 45 3,201 5,610 3,683 8.7 12.3 12.2

272

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 7A. Electricity Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) New England Middle Atlantic East North Central New England Middle Atlantic East North Central New England Middle Atlantic East North Central All Buildings ................................ 41 131 168 3,430 10,469 12,202 12.0 12.5 13.8 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 5 9 20 369 662 921 12.9 13.9 21.9 5,001 to 10,000 .............................. 3 8 9 360 768 877 8.4 10.4 10.8 10,001 to 25,000 ............................ Q 16 24 674 1,420 2,113 Q 11.6 11.2

273

electricity demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description The New Zealand Ministry of Economic Development publishes energy data including many datasets related to electricity. Included here are three electricity consumption and demand datasets, specifically: annual observed electricity consumption by sector (1974 to 2009); observed percentage of consumers by sector (2002 - 2009); and regional electricity demand, as a percentage of total demand (2009). Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated July 03rd, 2009 (5 years ago) Keywords Electricity Consumption electricity demand energy use by sector New Zealand Data application/vnd.ms-excel icon Electricity Consumption by Sector (1974 - 2009) (xls, 46.1 KiB) application/vnd.ms-excel icon Percentage of Consumers by Sector (2002 - 2009) (xls, 43.5 KiB)

274

International Energy Outlook 2006 - Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity International Energy Outlook 2006 Chapter 6: Electricity World electricity consumption doubles in the IEO2006 projections from 2003 to 2030. Non-OECD countries account for 71 percent of the projected growth, and OECD countries account for 29 percent. Figure 55. World Net Electricity Consumption, 2003-2030 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 56. World Net Electricity Consumption by Region, 1980-2030 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 57. Net Electricity Consumption in OECD Countries by End-Use Sector, 2003, 2015, and 2030 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800.

275

www.electricitypolicy.org.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY  

E-Print Network (OSTI)

www.electricitypolicy.org.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY Financing the Nuclear Renaissance with nuclear power. The cost structure of nuclear power differs significantly from that of fossil-fuelled electricity. In the case of nuclear the majority of costs are associated with the construiction phase whereas

Aickelin, Uwe

276

www.electricitypolicy.org.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY  

E-Print Network (OSTI)

www.electricitypolicy.org.uk EPRGWORKINGPAPERNON-TECHNICALSUMMARY Nuclear Power and Deregulated nuclear power company British Energy ran into financial crisis in 2002 and had to be rescued by the government, it appeared to show that nuclear power could not survive in a deregulated electricity market like

Aickelin, Uwe

277

www.eprg.group.cam.ac.uk EPRGWORKINGPAPER  

E-Print Network (OSTI)

. We discuss why the theoretical case for public ownership might be more attractive now than in the recent past. We then discuss six case studies of modern public ownership drawn from the UK (Great Britain and nuclear power, LNG facilities, electricity and gas distribution investments and energy service companies

Aickelin, Uwe

278

Electricity and Natural Gas Efficiency Improvements for Residential Gas Furnaces in the U.S.  

E-Print Network (OSTI)

offsets the sizable electricity savings. References TitleElectricity and Natural Gas Efficiency Improvements forfueled by natural gas. Electricity consumption by a furnace

Lekov, Alex; Franco, Victor; Meyers, Steve; McMahon, James E.; McNeil, Michael; Lutz, Jim

2006-01-01T23:59:59.000Z

279

A Two Stage Stochastic Equilibrium Model for Electricity Markets ...  

E-Print Network (OSTI)

Feb 6, 2008 ... A Two Stage Stochastic Equilibrium Model for Electricity Markets with Two Way Contracts. Dali Zhang (zhangdl ***at*** soton.ac.uk) Huifu Xu...

Dali Zhang

2008-02-06T23:59:59.000Z

280

Compare All CBECS Activities: Electricity Use  

U.S. Energy Information Administration (EIA) Indexed Site

Electricity Use Electricity Use Compare Activities by ... Electricity Use Total Electricity Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 908 billion kilowatthours (kWh) of electricity in 1999. Office and mercantile buildings used the most total electricity. Both of these building types used electricity as their predominant energy source. Figure showing total electricity consumption by building type. If you need assistance viewing this page, please call 202-586-8800. Electricity Consumption per Building by Building Type Inpatient health care buildings used by far the most electricity per building. Figure showing electricity consumption per building by building type. If you need assistance viewing this page, please call 202-586-8800.

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 State Energy Data 2011: Consumption Table C9. Electric Power Sector Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Nuclear Electric Power Hydroelectric Power b Biomass Geothermal Solar/PV d Wind Net Electricity Imports e Total f Distillate Fuel Oil Petroleum Coke Residual Fuel Oil Total Wood and Waste c Alabama ............. 586.1 349.4 1.1 0.0 0.0 1.1 411.8 86.3 4.6 0.0 0.0 0.0 0.0 1,439.3 Alaska ................. 6.0 42.3 3.3 0.0 1.5 4.8 0.0 13.1 0.0 0.0 0.0 0.1 (s) 66.3 Arizona ............... 449.9 183.9 0.6 0.0 0.0 0.6 327.3 89.1 2.4 0.0 0.8 2.5 1.5 1,057.9 Arkansas ............. 300.5 109.2 0.5 0.0 0.1 0.6 148.5 28.7 1.3 0.0 0.0 0.0 0.0 588.9 California ............ 19.7 630.1 0.4 11.1 (s) 11.5 383.6 413.4 69.0 122.0 8.4 75.3 20.1 1,753.1 Colorado ............. 362.4 88.1 0.3 0.0 0.0 0.3 0.0 20.2 0.9

282

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 . Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2011 (Trillion Btu) State Total Energy b Sources End-Use Sectors a Fossil Fuels Nuclear Electric Power Renewable Energy e Net Interstate Flow of Electricity f Net Electricity Imports g Residential Commercial Industrial b Transportation Coal Natural Gas c Petroleum d Total Alabama 1,931.3 651.0 614.8 549.5 1,815.4 411.8 260.6 -556.6 0.0 376.9 257.2 810.0 487.2 Alaska 637.9 15.5 337.0 267.1 619.6 0.0 18.4 0.0 (s) 53.7 68.2 315.4 200.7 Arizona 1,431.5 459.9 293.7 500.9 1,254.5 327.3 136.6 -288.4 1.5 394.7 345.5 221.2 470.1 Arkansas 1,117.1 306.1 288.6 335.7 930.5 148.5 123.7 -85.6 0.0 246.3 174.7 405.0 291.2 California 7,858.4 55.3 2,196.6 3,405.8 5,657.6 383.6 928.5 868.6 20.1 1,516.1 1,556.1 1,785.7 3,000.5 Colorado 1,480.8 368.9 476.5 472.9 1,318.3

283

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C4. Total End-Use Energy Consumption Estimates, 2011 C4. Total End-Use Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power f Biomass Geo- thermal Solar/PV i Retail Electricity Sales Net Energy j,k Electrical System Energy Losses l Total j,k Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste g Losses and Co- products h Alabama ........... 65.0 265.4 155.4 13.4 12.8 319.8 13.4 49.1 563.8 0.0 154.1 0.0 0.1 0.2 303.7 1,352.2 579.1 1,931.3 Alaska ............... 9.5 294.7 81.8 118.2 1.3 34.6 0.4 28.6 265.0 0.0 2.3 0.0 0.2 (s) 21.6 593.2 44.7 637.9 Arizona ............. 10.0 109.8 151.3 21.5 9.1 323.4 (s) 21.1 526.5 0.0 4.4 3.1 0.3 7.9 255.7 917.8 513.7 1,431.5 Arkansas ........... 5.6 179.4 134.5 5.9 9.4 175.6 0.1 19.8 345.4 0.0 82.6 0.0 0.7 0.2 163.5 777.4 339.8 1,117.1 California ..........

284

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

0 0 State Energy Data 2011: Consumption Table C7. Industrial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric power e Biomass Geo- thermal Retail Electricity Sales Net Energy h,i Electrical System Energy Losses j Total h,i Distillate Fuel Oil LPG b Motor Gasoline c Residual Fuel Oil Other d Total Wood and Waste f Losses and Co- products g Alabama ............. 65.0 179.1 23.9 3.7 3.3 6.7 46.3 83.9 0.0 147.2 0.0 (s) 115.1 590.4 219.5 810.0 Alaska ................. 0.1 253.8 19.2 0.1 1.0 0.0 27.1 47.4 0.0 0.1 0.0 0.0 4.5 306.0 9.4 315.4 Arizona ............... 10.0 22.0 33.2 1.4 4.6 (s) 18.4 57.6 0.0 1.4 3.1 0.2 42.1 136.5 84.7 221.2 Arkansas ............. 5.6 93.1 31.1 2.6 4.0 0.1 17.4 55.1 0.0 72.7 0.0 (s) 58.0 284.5 120.5 405.0 California ............ 35.6 767.4 77.2 23.9 29.6 (s) 312.5

285

International Energy Outlook 2001 - Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity picture of a printer Printer Friendly Version (PDF) Electricity consumption nearly doubles in the IEO2001 projections. Developing nations in Asia and in Central and South America are expected to lead the increase in world electricity use. In the International Energy Outlook 2001 (IEO2001) reference case, worldwide electricity consumption is projected to increase at an average annual rate of 2.7 percent from 1999 to 2020 (Table 20). The most rapid growth in electricity use is projected for developing Asia, at 4.5 percent per year, and by 2020 developing Asia is expected to consume more than twice as much electricity as it did in 1999. China’s electricity consumption is projected to triple, growing by an average of 5.5 percent per year from 1999 to 2020. The expected growth rate for electricity use in

286

E-Print Network 3.0 - atmospheric methane consumption Sample...  

NLE Websites -- All DOE Office Websites (Extended Search)

Oxidation of Methane with Air in AC Electric Gas Discharge Summary: , and specific energy consumption. Methane and oxygen conversions increased with input power but...

287

Reduction of Water Consumption  

E-Print Network (OSTI)

Cooling systems using water evaporation to dissipate waste heat, will require one pound of water per 1,000 Btu. To reduce water consumption, a combination of "DRY" and "WET" cooling elements is the only practical answer. This paper reviews...

Adler, J.

288

Fuel Consumption and Emissions  

Science Journals Connector (OSTI)

Calculating fuel consumption and emissions is a typical offline analysis ... simulations or real trajectory data) and the engine speed (as obtained from gear-shift schemes ... as input and is parameterized by veh...

Martin Treiber; Arne Kesting

2013-01-01T23:59:59.000Z

289

Spermatophore consumption in a cephalopod  

Science Journals Connector (OSTI)

...Animal behaviour 1001 14 70 Spermatophore consumption in a cephalopod Benjamin J. Wegener...provide evidence of ejaculate and sperm consumption in a cephalopod. Through labelling...combination of female spermatophore consumption and short-term external sperm storage...

2013-01-01T23:59:59.000Z

290

Food consumption trends and drivers  

Science Journals Connector (OSTI)

...original work is properly cited. Food consumption trends and drivers John Kearney...Government policy. A picture of food consumption (availability) trends and projections...largely responsible for these observed consumption trends are the subject of this review...

2010-01-01T23:59:59.000Z

291

Rice consumption in China  

E-Print Network (OSTI)

RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Submitted to the Office of Graduate Studies of Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1989 Major Subject: Agricultural... Economics RICE CONSUMPTION IN CHINA A Thesis by JIN LAN Approved as to style and content by: E, We ey F. Peterson (Chair of Committee) James E. Christiansen (Member) Carl Shaf (Member) Daniel I. Padberg (Head of Department) August 1989...

Lan, Jin

2012-06-07T23:59:59.000Z

292

Permitting of Consumptive Uses of Water (Florida) | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Permitting of Consumptive Uses of Water (Florida) Permitting of Consumptive Uses of Water (Florida) Permitting of Consumptive Uses of Water (Florida) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Water Buying & Making Electricity Home Weatherization Program Info State Florida Program Type Siting and Permitting Provider Florida Department of Environmental Protection Local water management districts are required to establish programs and

293

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

methodology used to estimate these statistics relied on data from the 1990 Residential Energy Consumption Survey (RECS), the 1991 Residential Transportation Energy Consumption...

294

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 4A. Electricity Consumption and Expenditure Intensities for All Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh) Distribution of Building-Level Intensities (kWh/square foot) 25th Per- centile Median 75th Per- centile per Building (thousand dollars) per Square Foot (dollars) per kWh (dollars) All Buildings ................................ 226 14.9 3.8 8.8 18.1 17.9 1.18 0.079 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 48 17.8 3.8 9.0 20.0 4.4 1.63 0.092 5,001 to 10,000 .............................. 96 12.9 4.0 8.2 15.5 9.2 1.23 0.096 10,001 to 25,000 ............................ 178 11.4 3.1 7.2 15.0 15.2 0.97 0.086

295

US MidAtl NY Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MidAtl NY MidAtl NY Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl NY Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NY Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl NY Expenditures dollars ELECTRICITY ONLY average per household * New York households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in New York homes is much lower than the U.S. average, because many households use other fuels for major energy end uses like space heating, water heating, and cooking. Electricity costs are closer to the national average due to higher than average electricity prices in the state.

296

US MidAtl NY Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

MidAtl NY MidAtl NY Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl NY Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl NY Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl NY Expenditures dollars ELECTRICITY ONLY average per household * New York households consume an average of 103 million Btu per year, 15% more than the U.S. average. * Electricity consumption in New York homes is much lower than the U.S. average, because many households use other fuels for major energy end uses like space heating, water heating, and cooking. Electricity costs are closer to the national average due to higher than average electricity prices in the state.

297

Electricity Distribution Networks: Investment and Regulation, and Uncertain Demand  

E-Print Network (OSTI)

by the Department of Energy and Climate Change (DEEC) on an annual basis.6 5 Engineering Technical Report 115 (1988). 6 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content... of non-domestic activity, which must be taken into account whilst forecasting non-domestic demand. 8 DECC Sub-national energy consumption statistics (http://www.decc.gov.uk/en/content...

Jamasb, Tooraj; Marantes, Cristiano

2011-01-31T23:59:59.000Z

298

renewable electricity | OpenEI  

Open Energy Info (EERE)

electricity electricity Dataset Summary Description Total annual renewable electricity consumption by country, 2005 to 2009 (available in Billion Kilowatt-hours or as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords EIA renewable electricity Renewable Energy Consumption world Data text/csv icon total_renewable_electricity_net_consumption_2005_2009billion_kwh.csv (csv, 8.5 KiB) text/csv icon total_renewable_electricity_net_consumption_2005_2009quadrillion_btu.csv (csv, 8.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2005 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata

299

What People Do with Consumption Feedback: A Long-Term Living Lab Study of a Home Energy Management System  

Science Journals Connector (OSTI)

......usage at home. The need...of their energy use from...estimated their consumption based on...the HEMS on average every 5...domestic energy consumption provided...we see an average electricity...with the consumption in the year...domestic energy consumption...monitoring in the home, but also......

Tobias Schwartz; Gunnar Stevens; Timo Jakobi; Sebastian Denef; Leonardo Ramirez; Volker Wulf; Dave Randall

2014-04-01T23:59:59.000Z

300

Sandia National Laboratories: Sandia Researchers, UK Partners...  

NLE Websites -- All DOE Office Websites (Extended Search)

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Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

International Energy Outlook 2001 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

World Energy Consumption World Energy Consumption picture of a printer Printer Friendly Version (PDF) This report presents international energy projections through 2020, prepared by the Energy Information Administration, including outlooks for major energy fuels and issues related to electricity, transportation, and the environment. The International Energy Outlook 2001 (IEO2001) presents the Energy Information Administration (EIA) outlook for world energy markets to 2020. Current trends in world energy markets are discussed in this chapter, followed by a presentation of the IEO2001 projections for energy consumption by primary energy source and for carbon emissions by fossil fuel. Uncertainty in the forecast is highlighted by an examination of alternative assumptions about economic growth and their impacts on the

302

Influence of climatic and geographical conditions on the level of energy consumption  

Science Journals Connector (OSTI)

It is shown that the consumption of electricity in modern postindustrial society is ... effective territory. According to this conception, the world market will be saturated by electric energy at the level of 60 ...

V. V. Klimenko

2012-03-01T23:59:59.000Z

303

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

State State Energy Data 2011: Consumption 11 Table C8. Transportation Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Retail Electricity Sales Net Energy Electrical System Energy Losses e Total Aviation Gasoline Distillate Fuel Oil Jet Fuel b LPG c Lubricants Motor Gasoline d Residual Fuel Oil Total Alabama ............. 0.0 23.5 0.4 124.4 13.4 0.3 2.3 316.3 6.7 463.7 0.0 487.2 0.0 487.2 Alaska ................. 0.0 3.5 0.8 44.4 118.2 (s) 0.4 32.9 0.4 197.2 0.0 200.7 0.0 200.7 Arizona ............... 0.0 15.6 1.0 111.3 21.5 0.8 1.6 318.2 0.0 454.5 0.0 470.1 0.0 470.1 Arkansas ............. 0.0 11.5 0.4 99.7 5.9 0.4 2.0 171.3 0.0 279.8 (s) 291.2 (s) 291.2 California ............ 0.0 25.7 1.9 440.9 549.7 3.8 13.3 1,770.1 186.9 2,966.5 2.8 2,995.1 5.5 3,000.5 Colorado ............. 0.0 14.7 0.6 83.2 58.3 0.3

304

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

8 8 State Energy Data 2011: Consumption Table C5. Residential Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal a Natural Gas b Petroleum Biomass Geothermal Solar/PV e Retail Electricity Sales Net Energy f Electrical System Energy Losses g Total f Distillate Fuel Oil Kerosene LPG c Total Wood d Alabama ............. 0.0 37.2 0.1 0.1 6.0 6.2 6.0 0.1 0.2 112.6 162.2 214.7 376.9 Alaska ................. 0.0 20.5 8.1 0.1 0.5 8.8 1.9 0.1 (s) 7.3 38.6 15.1 53.7 Arizona ............... 0.0 39.1 (s) (s) 5.5 5.5 2.6 (s) 7.9 112.9 168.0 226.8 394.7 Arkansas ............. 0.0 34.2 0.1 (s) 5.2 5.3 8.6 0.7 0.2 64.1 113.1 133.2 246.3 California ............ 0.0 522.4 0.6 0.6 30.9 32.2 33.3 0.2 43.2 301.6 932.9 583.1 1,516.1 Colorado ............. 0.0 134.2 0.1 (s) 12.3 12.4 8.3 0.2 0.7 62.4 216.5 136.5 353.0 Connecticut ......... 0.0 46.0 59.6

305

Energy management of HEV to optimize fuel consumption and pollutant emissions  

E-Print Network (OSTI)

AVEC'12 Energy management of HEV to optimize fuel consumption and pollutant emissions Pierre Michel, several energy management strategies are proposed to optimize jointly the fuel consumption and pollutant-line strategy are given. Keywords: Hybrid Electric Vehicle (HEV), energy management, pollution, fuel consumption

Paris-Sud XI, Université de

306

Energy Savings in Electric Arc Furnace Melting  

E-Print Network (OSTI)

, followed by suggestions on how energy consumption can be reduced. unit cost of electricity in steelmaking is discussed with emphasis on energy management....

Lubbeck, W.

1982-01-01T23:59:59.000Z

307

A bottom-up energy analysis across a diverse urban building portfolio: retrofits for the buildings at the Royal Botanic Gardens, Kew, UK  

Science Journals Connector (OSTI)

Abstract A methodology for the analysis of building energy retrofits has been developed for a diverse set of buildings at the Royal Botanic Gardens (RBG), Kew in southwest London, UK. The methodology requires selection of appropriate building simulation tools dependent on the nature of the principal energy demand. This has involved the development of a stand-alone model to simulate the heat flow in botanical glasshouses, as well as stochastic simulation of electricity demand for buildings with high equipment density and occupancy-led operation. Application of the methodology to the buildings at RBG Kew illustrates the potential reduction in energy consumption at the building scale achievable from the application of retrofit measures deemed appropriate for heritage buildings and the potential benefit to be gained from onsite generation and supply of energy.

R.M. Ward; R. Choudhary

2014-01-01T23:59:59.000Z

308

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: January 2012 Electric Power Sector Coal Stocks: January 2012 Stocks Above normal temperatures in January have allowed electric utilities to significantly replinish stockpiles of coal. The upswing in coal stockpiles corresponds to decreasing consumption of coal at electric generators seen in the resource use section across all regions of the country. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. Along with coal stockpiles at electric power plants, the supply of coal significantly increased in January of 2012. Total bituminous coal days of burn increased 10 percent from January 2011 to 87, while subbituminous supply increased nearly 10

309

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: December 2011 End Use: December 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

310

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: August 2011 End Use: August 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

311

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: November 2011 End Use: November 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

312

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: February 2012 End Use: February 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

313

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2011 End Use: October 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

314

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: March 2012 End Use: March 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

315

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: September 2011 End Use: September 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

316

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2013 End Use: October 2013 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

317

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: January 2012 End Use: January 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

318

Market Power and Technological Bias: The Case of Electricity Generation  

E-Print Network (OSTI)

, the intermittent nature of output from wind turbines and solar panels is frequently discussed as a potential obstacle to larger scale application of these tech- nologies. Contributions of 10-20% of electrical energy from individual intermittent technologies create... , Cambridge CB3 9DE, UK, Tel: ++ 44 1223 335200, paul.twomey@econ.cam.ac.uk, karsten.neuhoff@econ.cam.ac.uk. 1 1 Introduction Renewable energy technologies are playing an increasingly important role in the portfolio mix of electricity generation. However...

Twomey, Paul; Neuhoff, Karsten

2006-03-14T23:59:59.000Z

319

UK bridge to rare tongues  

E-Print Network (OSTI)

THE TELEGRAPH - About Us - Advertise - Feedback - Contact Us /div> 2 Front Page > Nation > Story UK bridge to rare tongues London, Dec. 12 (PTI): Cambridge University has launched a project to provide public access to languages...

Anon.

2010-12-13T23:59:59.000Z

320

Bus HVAC energy consumption test method based on HVAC unit behavior  

Science Journals Connector (OSTI)

This paper presents a test method for determination of energy consumption of bus HVAC unit. The energy consumption corresponds to a bus engine fuel consumption increase during the HVAC unit operation period. The HVAC unit energy consumption is determined from the unit input power, which is measured under several levels of bus engine speeds and at different levels of testing heat load in the laboratory environment. Since the bus engine fuel consumption is incrementally induced by powering an HVAC unit, the results are subsequently recalculated to the unit fuel consumption under the defined road cycles in terms of standardized diesel engine. The method is likewise applicable either for classic or electric HVAC units with a main consumer (compressor or high voltage alternator) mechanically driven directly from the bus engine and also for electric HVAC units supplied from an alternative electric energy source in case of hybrid or fully electric buses.

M. Hegar; M. Kolda; M. Kopecka; V. Rajtmajer; A. Ryska

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Techno-economic and behavioural analysis of battery electric, hydrogen  

E-Print Network (OSTI)

(BEV) and hydrogen fuel cell plug-in hybrid electric vehicles (FCHEV) in the UK using cost predictions comparing fuel cell and combustion engine range extenders for electric vehicles (Burke 2007), BEVs and FCVs vehicles in a future sustainable road transport system in the UK ICEPT Working Paper January 2011 Ref

322

"Table A15. Selected Energy Operating Ratios for Total Energy Consumption for"  

U.S. Energy Information Administration (EIA) Indexed Site

Selected Energy Operating Ratios for Total Energy Consumption for" Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region and Economic" " Characteristics of the Establishment, 1991" ,,,"Consumption","Major" " "," ","Consumption","per Dollar","Byproducts(b)","Fuel Oil(c)"," " " ","Consumption","per Dollar","of Value","as a Percent","as a Percent","RSE" " ","per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Economic Characteristics(a)","(million Btu)","(thousand Btu)","(thousand Btu)","(percent)","(percent)","Factors"

323

"Table A45. Selected Energy Operating Ratios for Total Energy Consumption"  

U.S. Energy Information Administration (EIA) Indexed Site

5. Selected Energy Operating Ratios for Total Energy Consumption" 5. Selected Energy Operating Ratios for Total Energy Consumption" " for Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Value of Shipment Categories, 1994" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(percents)","(percents)","Factors"

324

"Table A46. Selected Energy Operating Ratios for Total Energy Consumption"  

U.S. Energy Information Administration (EIA) Indexed Site

Selected Energy Operating Ratios for Total Energy Consumption" Selected Energy Operating Ratios for Total Energy Consumption" " for Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Employment Size Categories, 1994" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(percents)","(percents)","Factors"

325

"Table A48. Selected Energy Operating Ratios for Total Energy Consumption for"  

U.S. Energy Information Administration (EIA) Indexed Site

8. Selected Energy Operating Ratios for Total Energy Consumption for" 8. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Census Division, and Economic" " Characteristics of the Establishment, 1994" ,,,"Consumption","Major" " "," ","Consumption","per Dollar","Byproducts(b)","Fuel Oil(c)"," " " ","Consumption","per Dollar","of Value","as a Percent","as a Percent","RSE" " ","per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row"

326

"Table A51. Selected Energy Operating Ratios for Total Energy Consumption for"  

U.S. Energy Information Administration (EIA) Indexed Site

1. Selected Energy Operating Ratios for Total Energy Consumption for" 1. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region and Economic" " Characteristics of the Establishment, 1991 " ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(percent)","(percent)","Factors"

327

"Table A47. Selected Energy Operating Ratios for Total Energy Consumption for"  

U.S. Energy Information Administration (EIA) Indexed Site

7. Selected Energy Operating Ratios for Total Energy Consumption for" 7. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" ,,,,,"Major" ,,,,"Consumption","Byproducts(b)" ,,,"Consumption","per Dollar","as a","Fuel Oil(c) as" ,,"Consumption","per Dollar","of Value","Percent of","a Percent of","RSE" "SIC"," ","per Employee","of Value Added","of Shipments","Consumption","Natural Gas","Row" "Code(a)","Industry Group and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","(percents)","(percents)","Factors"

328

"Table A50. Selected Energy Operating Ratios for Total Energy Consumption for"  

U.S. Energy Information Administration (EIA) Indexed Site

0. Selected Energy Operating Ratios for Total Energy Consumption for" 0. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Industry Group," " Selected Industries, and Economic Characteristics of the" " Establishment, 1991 (Continued)" ,,,,,"Major" ,,,"Consumption","Consumption per","Byproducts(c)","Fuel Oil(d)" ,,"Consumption","per Dollar","Dollar of Value","as a Percent of","as a Percent","RSE" "SIC",,"per Employee","of Value Added","of Shipments","of Consumption","of Natural Gas","Row" "Code(a)","Economic Characteristics(b)","(million Btu)","(thousand Btu)","(thousand Btu)","(Percent)","(percent)","Factors"

329

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

9 9 Table C6. Commercial Sector Energy Consumption Estimates, 2011 (Trillion Btu) State Coal Natural Gas a Petroleum Hydro- electric Power e Biomass Geothermal Retail Electricity Sales Net Energy g Electrical System Energy Losses h Total g Distillate Fuel Oil Kerosene LPG b Motor Gasoline c Residual Fuel Oil Total d Wood and Waste f Alabama ............. 0.0 25.5 7.0 (s) 2.7 0.2 0.0 10.0 0.0 0.9 0.0 75.9 112.4 144.8 257.2 Alaska ................. 9.4 16.9 10.1 0.1 0.6 0.7 0.0 11.5 0.0 0.3 0.1 9.7 48.0 20.2 68.2 Arizona ............... 0.0 33.1 6.8 (s) 1.5 0.7 0.0 8.9 0.0 0.5 (s) 100.7 143.2 202.3 345.5 Arkansas ............. 0.0 40.6 3.6 (s) 1.2 0.4 0.0 5.2 0.0 1.3 0.0 41.4 88.6 86.1 174.7 California ............ 0.0 250.9 47.9 0.1 8.7 1.4 0.0 58.1 (s) 17.4 0.7 418.9 746.2 809.9 1,556.1 Colorado ............. 3.2 57.6 5.9 (s) 2.9 0.2 0.0 9.1 0.0 1.2 0.2

330

Spoilt for Choice? The Costs and Benefits of Opening UK Residential Energy Markets  

E-Print Network (OSTI)

JEL Classification: D12, L51 and L97 Key words: Consumer Behaviour, Deregulation, Gas and Electricity022250206. The Electricity Association funded the project under which the survey of low income consumers;Introduction Reform of the UK energy sector has involved the sale of state assets to private shareholders

Feigon, Brooke

331

Major Corporate Fleets Align to Reduce Oil Consumption | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption April 1, 2011 - 1:07pm Addthis President Obama announces the National Clean Fleets Partnership to help companies reduce fuel usage by incorporating electric vehicles, alternative fuels, and conservation techniques. Dennis A. Smith Director, National Clean Cities What does this project do? Cuts oil imports and consumption Helps businesses save money Increases the efficiency of large-scale fleets Reduces emissions Surrounded by cutting-edge vehicles, from all-electric trucks to hydraulic hybrids, President Obama today announced the National Clean Fleets Partnership, an initiative of the Department's Clean Cities program, at a UPS fleet facility in Landover, Maryland. This public-private partnership

332

Major Corporate Fleets Align to Reduce Oil Consumption | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption Major Corporate Fleets Align to Reduce Oil Consumption April 1, 2011 - 1:07pm Addthis President Obama announces the National Clean Fleets Partnership to help companies reduce fuel usage by incorporating electric vehicles, alternative fuels, and conservation techniques. Dennis A. Smith Director, National Clean Cities What does this project do? Cuts oil imports and consumption Helps businesses save money Increases the efficiency of large-scale fleets Reduces emissions Surrounded by cutting-edge vehicles, from all-electric trucks to hydraulic hybrids, President Obama today announced the National Clean Fleets Partnership, an initiative of the Department's Clean Cities program, at a UPS fleet facility in Landover, Maryland. This public-private partnership

333

World Energy Consumption by Fuel Type, 1970-2020  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by Fuel Type, 1970-2020 Energy Consumption by Fuel Type, 1970-2020 Source: EIA, International Energy Outlook 2000 Previous slide Next slide Back to first slide View graphic version Notes: Natural gas is projected to be the fastest-growing component of primary world energy consumption, more than doubling between 1997 and 2020. Gas accounts for the largest increment in electricity generation (41 percent of the total increment of energy used for electricity generation). Combined-cycle gas turbine power plants offer some of the highest commercially available plant efficiencies, and natural gas is environmentally attractive because it emits less sulfur dioxide, carbon dioxide, and particulate matter than does oil or coal. In the IEO2000 projection, world natural gas consumption reaches the level of coal by

334

Reaction-Diffusion Model for Combustion with Fuel Consumption: I. Dirichlet Boundary Conditions  

Science Journals Connector (OSTI)

......9JT, UK Department of Chemistry, University of Leeds...Reaction-Diffusion Model for Combustion with Fuel Consumption...SCOTT Department of Chemistry, University of Leeds...runaway in stockpiles of coal, wool, cellulose...smouldering or fully fledged combustion and their attendant......

G. ZHANG; J. H. MERKIN; S. K. SCOTT

1991-01-01T23:59:59.000Z

335

Data Center Power Consumption  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Center Power Consumption Center Power Consumption A new look at a growing problem Fact - Data center power density up 10x in the last 10 years 2.1 kW/rack (1992); 14 kW/rack (2007) Racks are not fully populated due to power/cooling constraints Fact - Increasing processor power Moore's law Fact - Energy cost going up 3 yr. energy cost equivalent to acquisition cost Fact - Iterative power life cycle Takes as much energy to cool computers as it takes to power them. Fact - Over-provisioning Most data centers are over-provisioned with cooling and still have hot spots November 2007 SubZero Engineering An Industry at the Crossroads Conflict between scaling IT demands and energy efficiency Server Efficiency is improving year after year Performance/Watt doubles every 2 years Power Density is Going Up

336

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

Table C22. Electricity Consumption and Conditional Energy Intensity by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity Energy Intensity (kWh/square foot) 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 1959 or Before 1960 to 1989 1990 to 2003 All Buildings* ............................... 155 447 288 17,163 28,766 17,378 9.0 15.5 16.6 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 23 52 37 2,049 2,668 1,628 11.3 19.6 23.0 5,001 to 10,000 .............................. 15 35 27 1,859 2,854 1,484 8.1 12.2 18.1 10,001 to 25,000 ............................ 27 55 37 3,141 4,907 3,322 8.5 11.3 11.2

337

Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

E/EIA-0262/2 E/EIA-0262/2 Residential Energy Consumption Survey: 1978-1980 Consumption and Expenditures Part II: Regional Data May 1981 U.S. Department of Energy Energy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Residential and Commercial Data Systems Division -T8-aa * N uojssaooy 'SOS^-m (£03) ao£ 5925 'uofSfAfQ s^onpojj aa^ndmoo - aojAaag T BU T3gN am rcoj? aig^IT^^ '(adBx Q-naugBH) TOO/T8-JQ/30Q 30^703 OQ ' d jo :moaj ajqBfT^A^ 3J^ sjaodaa aAoqe aqa jo 's-TZTOO-eoo-Tgo 'ON ^ois odo 'g^zo-via/aoQ 'TBST Sujpjjng rXaAang uojidmnsuoo XSaaug sSu-ppjprig ON ^oo^s OdO '^/ZOZO-Via/aOQ *086T aunr '6L6I ?sn§ny og aunf ' jo suja^Bd uoj^dmnsuoo :XaAjng uo^^dmnsuoQ XSaaug OS '9$ '6-ieTOO- 00-T90 OdD 'S/ZOZO-Via/aOa C

338

Table E3.1. Fuel Consumption, 1998  

U.S. Energy Information Administration (EIA) Indexed Site

E3.1. Fuel Consumption, 1998;" E3.1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,"Net","Residual","Distillate",,"LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

339

Table 4.3 Offsite-Produced Fuel Consumption, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

3 Offsite-Produced Fuel Consumption, 2002;" 3 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,,"Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

340

Financing the UK's renewable energy boom  

Science Journals Connector (OSTI)

The opportunity to invest in and operate renewable energy power projects in the United Kingdom is the result of the financial measures established by the Electricity Act 1989, which created the Non-Fossil Fuel Obligation. In the three different orders specified so far, approximately 1400 MW (declared net capacity) of contracts have been awarded to schemes generating electricity from wind, hydro, landfill gas, sewage gas, waste combustion and other combustion (using forestry wastes and biomass) schemes. The majority of projects that have become operational so far have been financed either on 'balance sheet' or by a combination of non-recourse or limited recourse project loans and investor equity. In order to fulfil the government's goal to have 1500 MW (declared net capacity) of electricity from renewables by 2000 a total investment of in excess of 1.5 billion will be required. This paper reviews the terms of the Non Fossil Fuel Obligation, gives details of contracts awarded so far, reviews the financing methods used, summarises the project risks and the means of mitigation and provides case histories of several different renewable energy projects financed in the UK.

David Lindley

1996-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

M Cauldwell UK Ltd | Open Energy Information  

Open Energy Info (EERE)

Cauldwell UK Ltd Cauldwell UK Ltd Jump to: navigation, search Name M Cauldwell UK Ltd Place United Kingdom Sector Wind energy Product UK-based private developer, Mark Cauldwell, involved in the development of a wind farm in Lincolnshire, UK. References M Cauldwell UK Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. M Cauldwell UK Ltd is a company located in United Kingdom . References ↑ "M Cauldwell UK Ltd" Retrieved from "http://en.openei.org/w/index.php?title=M_Cauldwell_UK_Ltd&oldid=348539" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load)

342

US MidAtl PA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

MidAtl PA MidAtl PA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl PA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl PA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl PA Expenditures dollars ELECTRICITY ONLY average per household * Pennsylvania households consume an average of 96 million Btu per year, 8% more than the U.S. average. Pennsylvania residents also spend 16% more than the average U.S. households for energy consumed in their homes. * Average electricity consumption in Pennsylvania homes is 10,402 kWh per year, which is lower than the national average, but 58% more than New York households and 17% more than New Jersey residents.

343

US MidAtl PA Site Consumption  

U.S. Energy Information Administration (EIA) Indexed Site

MidAtl PA MidAtl PA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US MidAtl PA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US MidAtl PA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US MidAtl PA Expenditures dollars ELECTRICITY ONLY average per household * Pennsylvania households consume an average of 96 million Btu per year, 8% more than the U.S. average. Pennsylvania residents also spend 16% more than the average U.S. households for energy consumed in their homes. * Average electricity consumption in Pennsylvania homes is 10,402 kWh per year, which is lower than the national average, but 58% more than New York households and 17% more than New Jersey residents.

344

ENERGY CONSUMPTION SURVEY  

U.S. Energy Information Administration (EIA) Indexed Site

5 RESIDENTIAL TRANSPORTATION 5 RESIDENTIAL TRANSPORTATION ENERGY CONSUMPTION SURVEY Prepared for: UNITED STATES DEPARTMENT OF ENERGY ENERGY INFORMATION ADMINISTRATION OFFICE OF ENERGY MARKETS AND END USE ENERGY END USE DIVISION RESIDENTIAL AND COMMERCIAL BRANCH WASHINGTON, DC 20585 Prepared by: THE ORKAND CORPORATION 8484 GEORGIA AVENUE SILVER SPRING, MD 20910 October 1986 Contract Number DE-AC01-84EI19658 TABLE OF CONTENTS FRONT MATTER Index to Program Descriptions........................................... vi List of Exhibits ....................................................... viii Acronyms and Abbreviations ............................................. ix SECTION 1: GENERAL INFORMATION ........................................ 1-1 1.1. Summary ....................................................... 1-1

345

Table 3.1 Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

1 Fuel Consumption, 2010; 1 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Net Residual Distillate Natural Gas(d) LPG and Coal and Breeze NAICS Total Electricity(b) Fuel Oil Fuel Oil(c) (billion NGL(e) (million (million Other(f) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States 311 Food 1,158 75,407 2 4 563 1 8 * 99 3112 Grain and Oilseed Milling 350 16,479 * * 118 * 6 0 45 311221 Wet Corn Milling 214 7,467 * * 51 * 5 0 25 31131 Sugar Manufacturing 107 1,218 * * 15 * 2 * 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 9,203

346

Electricity - Analysis & Projections - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity Glossary › FAQS › Overview Data Electricty Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Revenue and expense statistics for... Electricity purchases, sales for resale, imports/exports, reliability Demand, capacity resources, and capacity margins Electricity and the environment All Electricity Data Reports Analysis & Projections Most Requested Capacity and Generation Costs, Revenue and Expense Demand

347

Electricity - Analysis & Projections - U.S. Energy Information  

U.S. Energy Information Administration (EIA) Indexed Site

Electricity Electricity Glossary › FAQS › Overview Data Electricty Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Revenue and expense statistics for... Electricity purchases, sales for resale, imports/exports, reliability Demand, capacity resources, and capacity margins Electricity and the environment All Electricity Data Reports Analysis & Projections Most Requested Capacity and Generation Costs, Revenue and Expense Demand

348

Indexes of Consumption and Production  

U.S. Energy Information Administration (EIA) Indexed Site

Figure on manufacturing production indexes and purchased energy consumption Figure on manufacturing production indexes and purchased energy consumption Source: Energy Information Administration and Federal Reserve Board. History of Shipments This chart presents indices of 14 years (1980-1994) of historical data of manufacturing production indexes and Purchased (Offsite-Produced) Energy consumption, using 1992 as the base year (1992 = 100). Indexing both energy consumption and production best illustrates the trends in output and consumption. Taken separately, these two indices track the relative growth rates within the specified industry. Taken together, they reveal trends in energy efficiency. For example, a steady increase in output, coupled with a decline in energy consumption, represents energy efficiency gains. Likewise, steadily rising energy consumption with a corresponding decline in output illustrates energy efficiency losses.

349

Demand response in wholesale electricity markets: the choice of customer baseline  

Science Journals Connector (OSTI)

Given a hybrid electricity market structure, demand response (DR) in wholesale electricity markets depends ... counterfactual consumption levels that would have prevailed without demand-response programs. However...

Hung-po Chao

2011-02-01T23:59:59.000Z

350

Modelling GIC in the UK  

Science Journals Connector (OSTI)

......Calculate the surface electric field produced...earthing and line resistances. Our new model...strong uniform electric field; a maximum...method of spherical elementary current systems...corresponding induced electric field in the ground...and an earthing resistance matrix. The electric......

Katie Turnbull

2010-10-01T23:59:59.000Z

351

WHAT FUTURE FOR UK HIGHER EDUCATION?  

E-Print Network (OSTI)

BERKELEY http://cshe.berkeley.edu/ WHAT FUTURE FOR UK HIGHERof the course). Brown, What Future for UK Higher Educationand local trends and also on what happens on migration, and

Roger Brown

2010-01-01T23:59:59.000Z

352

Gamesa Energy UK | Open Energy Information  

Open Energy Info (EERE)

Kingdom Zip: NP10 8FY Sector: Wind energy Product: UK arm of wind farm developer and turbine manufacturer Gamesa. References: Gamesa Energy UK1 This article is a stub. You...

353

Research Councils UK Synthetic biology  

E-Print Network (OSTI)

, bioinformatics approaches and DNA synthesis, all of which are central to the current field of synthetic biologyResearch Councils UK Synthetic biology #12;Synthetic biology Research funded by the Research them commercially. Synthetic biology is one of `Eight Great Technologies' identified by the Chancellor

Berzins, M.

354

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

U.S. Energy Information Administration (EIA) Indexed Site

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

355

Electrical and Electronic Engineering 1 Faculty of Engineering, Department of  

E-Print Network (OSTI)

Electrical and Electronic Engineering 1 Faculty of Engineering, Department of --Electrical.imperial.ac.uk/pgprospectus. #12;Undergraduate syllabuses2 Electrical and Electronic Engineering Imperial College provides are working towards MPhil or PhD degrees. There is a wide range of research activities in Electrical

356

Trends in Commercial Buildings--Trends in Energy Consumption and Energy  

U.S. Energy Information Administration (EIA) Indexed Site

Energy Consumption and Energy Sources - Part 1 Energy Consumption and Energy Sources - Part 1 Part 2. Energy Intensity Data Tables Total Energy Consumption Consumption by Energy Source Background: Site and Primary Energy Trends in Energy Consumption and Energy Sources Part 1. Energy Consumption The CBECS collects energy consumption statistics from energy suppliers for four major energy sources—electricity, natural gas, fuel oil, and district heat—and collects information from the sampled buildings on the use of the four major sources and other energy sources (e.g., district chilled water, solar, wood). Energy consumed in commercial buildings is a significant fraction of that consumed in all end-use sectors. In 2000, about 17 percent of total energy was consumed in the commercial sector. Total Energy Consumption

357

Manufacturing Consumption of Energy 1991--Combined Consumption and Fuel  

U.S. Energy Information Administration (EIA) Indexed Site

< < Welcome to the U.S. Energy Information Administration's Manufacturing Web Site. If you are having trouble, call 202-586-8800 for help. Return to Energy Information Administration Home Page. Home > Energy Users > Manufacturing > Consumption and Fuel Switching Manufacturing Consumption of Energy 1991 (Combined Consumption and Fuel Switching) Overview Full Report Tables & Spreadsheets This report presents national-level estimates about energy use and consumption in the manufacturing sector as well as manufacturers' fuel-switching capability. Contact: Stephanie.battle@eia.doe.gov Stephanie Battle Director, Energy Consumption Division Phone: (202) 586-7237 Fax: (202) 586-0018 URL: http://www.eia.gov/emeu/mecs/mecs91/consumption/mecs1a.html File Last Modified: May 25, 1996

358

Residential Energy Consumption Survey Results: Total Energy Consumption,  

Open Energy Info (EERE)

Survey Results: Total Energy Consumption, Survey Results: Total Energy Consumption, Expenditures, and Intensities (2005) Dataset Summary Description The Residential Energy Consumption Survey (RECS) is a national survey that collects residential energy-related data. The 2005 survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the U.S. Data were obtained from residential energy suppliers for each unit in the sample to produce the Consumption & Expenditures data. The Consumption & Expenditures and Intensities data is divided into two parts: Part 1 provides energy consumption and expenditures by census region, population density, climate zone, type of housing unit, year of construction and ownership status; Part 2 provides the same data according to household size, income category, race and age. The next update to the RECS survey (2009 data) will be available in 2011.

359

Forests and biodiversity UK Forestry Standard Guidelines  

E-Print Network (OSTI)

Forests and biodiversity UK Forestry Standard Guidelines #12;Key to symbols UKFS Requirements;Forests and biodiversity Forestry Commission: Edinburgh UK Forestry Standard Guidelines #12;© Crown Commission in 2011. ISBN 978-0-85538-831-7 FORESTRY COMMISSION (2011). Forests and Biodiversity. UK Forestry

360

Heat Pump Markets UK in Europe  

E-Print Network (OSTI)

Heat Pump Markets UK in Europe IEA Heat Pump Workshop 13. November 2012 Zoltan Karpathy #12;2 Excellence in Market Intelligence Agenda About BSRIA WMI UK in the European Heat Pump Market Heating BSRIA WMI UK in the European Heat Pump Market Heating Technologies in New and Existing Buildings Hybrid

Oak Ridge National Laboratory

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

EIA - Electric Power Data  

U.S. Energy Information Administration (EIA) Indexed Site

Survey-level Detail Data Files Survey-level Detail Data Files Electric power data are collected on survey instruments. Data collection is mandated by Congress to promote sound policymaking, efficient markets, and public understanding. The most widely used data are disseminated in reports, such as the Electric Power Monthly and the Electric Power Annual. Publicly available electric power data is available down to the plant level in the Electricity Data Browser and in detailed spreadsheets by survey below. Description Data availability State-level data (consolidated across forms) Contains electricity generation; fuel consumption; emissions; retail sales, revenue, number of customers, and retail prices; generating capacity; and financial data. 1990-2012 (monthly and annual) Electric power sales and revenue data - monthly (Form EIA-826)

362

Scenario Analysis on the Impact of Diffusion of Next Generation Vehicles on Material Consumption and GHG Emissions  

Science Journals Connector (OSTI)

In this study, we developed an automobile cohort model to evaluate the effect of the diffusion of next generation vehicles such as hybrid electric vehicles and electric vehicles on material consumption and GHG em...

Yuta Higuchi; Naoki Wada; Toyohiko Nakakubo

2012-01-01T23:59:59.000Z

363

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

364

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

365

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

366

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

367

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

368

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

369

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

370

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

371

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

372

"Table A52. Nonswitchable Minimum Requirements and Maximum Consumption"  

U.S. Energy Information Administration (EIA) Indexed Site

2. Nonswitchable Minimum Requirements and Maximum Consumption" 2. Nonswitchable Minimum Requirements and Maximum Consumption" " Potential by Census Region, 1991" " (Estimates in Physical Units)" ,,,,"RSE" ,"Actual","Minimum","Maximum","Row" "Type of Energy","Consumption","Consumption(a)","Consumption(b)","Factors" "RSE Column Factors:",1,1.2,0.8 ," Total United States" ,"-","-","-" "Electricity Receipts(c) (million kilowatthours)",718480,701478,766887,2 "Natural Gas (billion cubic feet)",5345,3485,5887,2 "Distillate Fuel Oil (thousand barrels)",23885,19113,201081,3.7 "Residual Fuel Oil (thousand barrels)",65837,36488,201921,2.6

373

"Table A8. Selected Energy Operating Ratios for Total Energy Consumption for"  

U.S. Energy Information Administration (EIA) Indexed Site

A8. Selected Energy Operating Ratios for Total Energy Consumption for" A8. Selected Energy Operating Ratios for Total Energy Consumption for" " Heat, Power, and Electricity Generation by Census Region, Industry Group, and" " Selected Industries, 1991" ,,,,,"Major" ,,,,"Consumption","Byproducts(b)" ,,,"Consumption","per Dollar","as a","Fuel Oil(c) as" ,,"Consumption","per Dollar","of Value","Percent of","a Percent of","RSE" "SIC"," ","per Employee","of Value Added","of Shipments","Consumsption","Natural Gas","Row" "Code(a)","Industry Groups and Industry","(million Btu)","(thousand Btu)","(thousand Btu)","(PERCENT)","(percent)","Factors"

374

Assessing the performance of the UK Emissions Trading Scheme  

Science Journals Connector (OSTI)

The UKs Climate Change Programme introduced an Emissions Trading Scheme (ETS) for greenhouse gases. Firms...

Stephen Smith; Joseph Swierzbinski

2007-05-01T23:59:59.000Z

375

Electricity - Data - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Find statistics on electric power plants, capacity, generation, fuel Find statistics on electric power plants, capacity, generation, fuel consumption, sales, prices and customers. + EXPAND ALL Summary Additional formats Summary electricity statistics 2001-2011 › XLS Supply and disposition of electricity 2002-2011 › XLS Electricity overview › Generation, retail sales, electricity trade, losses PDF XLS Consumption for electricity generation › Fossil and renewable fuel consumption for electricity generation PDF XLS Generating capacity › Electric net summer capacity by specific energy source more on electricity PDF XLS Monthly electricity overview - back to 1973 CSV PDF XLS Latest month total electric power industry summary statistics › Overview XLS Year-to-date total electric power industry summary statistics ›

376

Energy Consumption | OpenEI  

Open Energy Info (EERE)

Consumption Consumption Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

377

Manufacturing Consumption of Energy 1994  

U.S. Energy Information Administration (EIA) Indexed Site

Detailed Tables 28 Energy Information AdministrationManufacturing Consumption of Energy 1994 1. In previous MECS, the term "primary energy" was used to denote the "first use" of...

378

Manufacturing Consumption of Energy 1994  

U.S. Energy Information Administration (EIA) Indexed Site

1 Energy Information AdministrationManufacturing Consumption of Energy 1994 Introduction The market for natural gas has been changing for quite some time. As part of natural gas...

379

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

380

Enertrag UK Ltd | Open Energy Information  

Open Energy Info (EERE)

Enertrag UK Ltd Enertrag UK Ltd Jump to: navigation, search Name Enertrag UK Ltd Place United Kingdom Sector Wind energy Product Involved throught the SPV Norfolk Offshore Wind in the development of Cromer Offshore Wind Farm. References Enertrag UK Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Enertrag UK Ltd is a company located in United Kingdom . References ↑ "Enertrag UK Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Enertrag_UK_Ltd&oldid=344939" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Solargen Solutions UK | Open Energy Information  

Open Energy Info (EERE)

UK UK Jump to: navigation, search Name Solargen Solutions UK Place United Kingdom Zip NP 44 3AS Sector Renewable Energy, Solar Product String representation "SolarGen is a E ... s requirements." is too long. References Solargen Solutions UK[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Solargen Solutions UK is a company located in United Kingdom . References ↑ "Solargen Solutions UK" Retrieved from "http://en.openei.org/w/index.php?title=Solargen_Solutions_UK&oldid=351378" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties

382

RES UK Ireland Ltd | Open Energy Information  

Open Energy Info (EERE)

Ireland Ltd Ireland Ltd Jump to: navigation, search Name RES UK & Ireland Ltd Place County Antrim, Northern Ireland, United Kingdom Zip BT40 2SF Sector Services, Wind energy Product Wind farm development Ltd became known as RES UK and Ireland Ltd in February 2007. RES UK and Ireland also took control of B9 Energy Services' share of the company. References RES UK & Ireland Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. RES UK & Ireland Ltd is a company located in County Antrim, Northern Ireland, United Kingdom . References ↑ "RES UK & Ireland Ltd" Retrieved from "http://en.openei.org/w/index.php?title=RES_UK_Ireland_Ltd&oldid=350385

383

UK RE Planning Database Project: October, 2010 | OpenEI  

Open Energy Info (EERE)

RE Planning Database Project: October, 2010 RE Planning Database Project: October, 2010 Dataset Summary Description The Planning Database Project provides the UK Department of Energy and Climate Change (DECC) with regular data to track progress towards achieving EU targets for electricity generation from renewable energy (RE) sources. Extracts from the database are available each month. Information collected in the database includes: name, location and installed capacity of RE projects over 0.1MW; environmental designations; planning status; and construction status. Included here is the October 2010 Progress Datasheet, and an extract from December, 15, 2010 (i.e. a single snapshot in time). More up to date data can be retrieved from: https://restats.decc.gov.uk/app/reporting/decc/monthlyextract.

384

Table 5.2 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

2 End Uses of Fuel Consumption, 2010; 2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280

385

Table 5.1 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

5.1 End Uses of Fuel Consumption, 2010; 5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process

386

World Energy Consumption by Fuel Type, 1970-2020  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: Natural gas is projected to be the fastest-growing component of primary world energy consumption, more than doubling between 1997 and 2020. Gas accounts for the largest increment in electricity generation (41 percent of the total increment of energy used for electricity generation). Combined-cycle gas turbine power plants offer some of the highest commercially available plant efficiencies, and natural gas is environmentally attractive because it emits less sulfur dioxide, carbon dioxide, and particulate matter than does oil or coal. In the IEO2000 projection, world natural gas consumption reaches the level of coal by 2005, and by 2020 gas use exceeds coal by 29 percent. Oil currently provides a larger share of world energy consumption than any other energy source and is expected to remain in that position

387

Table 5.7 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

7 End Uses of Fuel Consumption, 2010; 7 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 845,727 13 22 5,064 18 39 Indirect Uses-Boiler Fuel 12,979 7 3 2,074 3 26 Conventional Boiler Use 12,979 3 1 712 1 3 CHP and/or Cogeneration Process -- 4 3 1,362 2 23 Direct Uses-Total Process 675,152 4 9 2,549 7 13 Process Heating

388

Table 5.5 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

5 End Uses of Fuel Consumption, 2010; 5 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process -- 0 4 3 1,362 2 23 -- Direct Uses-Total Process

389

Smart Meters Help Balance Energy Consumption at Solar Decathlon |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon September 28, 2011 - 10:57am Addthis The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a Liisa O'Neill Liisa O'Neill Former New Media Specialist, Office of Public Affairs Clouds, rain, thunderstorms... at Solar Decathlon Village? Oh my, you may say. But less-than-ideal weather conditions are no match for this year's

390

Table 5.6 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

6 End Uses of Fuel Consumption, 2010; 6 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280 -- Process Cooling and Refrigeration -- 182 * Q 25

391

Table 5.4 End Uses of Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

4 End Uses of Fuel Consumption, 2010; 4 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 2,886 79 130 5,211 69 868 Indirect Uses-Boiler Fuel 44 46 19 2,134 10 572 Conventional Boiler Use 44 20 4 733 3 72 CHP and/or Cogeneration Process -- 26 15 1,401 7 500 Direct Uses-Total Process 2,304 26 54 2,623 29 289 Process Heating 318 25 14 2,362 24 280 Process Cooling and Refrigeration

392

Smart Meters Help Balance Energy Consumption at Solar Decathlon |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon Smart Meters Help Balance Energy Consumption at Solar Decathlon September 28, 2011 - 10:57am Addthis The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a The Team Tidewater Virginia smart meter, as seen on opening day, indicates the team generated 5 kW hours of electricity in the first several hours of the competition. | Image courtesy of Lachlan Fletcher, Studio 18a Liisa O'Neill Liisa O'Neill Former New Media Specialist, Office of Public Affairs Clouds, rain, thunderstorms... at Solar Decathlon Village? Oh my, you may say. But less-than-ideal weather conditions are no match for this year's

393

Heavy Oil Consumption Reduction Program (Quebec, Canada) | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Heavy Oil Consumption Reduction Program (Quebec, Canada) Heavy Oil Consumption Reduction Program (Quebec, Canada) Heavy Oil Consumption Reduction Program (Quebec, Canada) < Back Eligibility Commercial Agricultural Industrial Construction Savings Category Solar Buying & Making Electricity Maximum Rebate $5 million per site Program Info Funding Source Government of Quebec State Quebec Program Type Rebate Program Provider Agence de l'efficacité énergétique This program helps heavy oil consumers move toward sustainable development while improving their competitive position by reducing their consumption. Financial assistance is offered to carry out various analyses as well as implement energy efficient measures relating to heavy fuel oil or to switch to other forms of energy containing fewer pollutants, such as natural gas,

394

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Estimation of Energy End-use Consumption Estimation of Energy End-use Consumption 2003 CBECS The energy end-use consumption tables for 2003 (Detailed Tables E1-E11 and E1A-E11A) provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, personal computers, office equipment (including servers), and other uses. Although details vary by energy source (Table 1), there are four basic steps in the end-use estimation process: Regressions of monthly consumption on degree-days to establish reference temperatures for the engineering models, Engineering modeling by end use, Cross-sectional regressions to calibrate the engineering estimates and account for additional energy uses, and

395

STAG UK Newsletter Issue 48  

E-Print Network (OSTI)

Vlindsor, Ontario, Canada N9l-7 1B 7, asks, 'Does anybody knovr a Hussol1 (A.H.) King Jr., 10 Glen Fruin Hd, Greenock, Scotland, PA16 9N1'. The last address I have from him is the above - but he may have moved to Canada since January. If anyon" can help..., Grace Lee \\U.K. & Eire - ?2'50 U.K. currency .B:Urope - ?4"50 airmail,t3'50 surface U.S.A. 80 S. Africa - ~15'50 or ,\\:6'00 airmail, )l'9'00 or ?3'50 surface...

1981-01-01T23:59:59.000Z

396

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

A. Total Energy Consumption by Major Fuel for All Buildings, 2003 A. Total Energy Consumption by Major Fuel for All Buildings, 2003 All Buildings Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat Primary Site All Buildings ................................ 4,859 71,658 6,523 10,746 3,559 2,100 228 636 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,586 6,922 685 1,185 392 257 34 Q 5,001 to 10,000 .............................. 948 7,033 563 883 293 224 36 Q 10,001 to 25,000 ............................ 810 12,659 899 1,464 485 353 28 Q 25,001 to 50,000 ............................ 261 9,382 742 1,199 397 278 17 Q 50,001 to 100,000 .......................... 147 10,291 913 1,579 523 277 29 Q

397

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

. Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 . Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 All Buildings* Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat Primary Site All Buildings* ............................... 4,645 64,783 5,820 9,168 3,037 1,928 222 634 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,552 6,789 672 1,164 386 250 34 Q 5,001 to 10,000 .............................. 889 6,585 516 790 262 209 36 Q 10,001 to 25,000 ............................ 738 11,535 776 1,229 407 309 27 Q 25,001 to 50,000 ............................ 241 8,668 673 1,058 350 258 16 Q 50,001 to 100,000 .......................... 129 9,057 759 1,223 405 244 26 Q

398

"Table A10. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel"  

U.S. Energy Information Administration (EIA) Indexed Site

0. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" 0. Total Consumption of LPG, Distillate Fuel Oil, and Residual Fuel" " Oil for Selected Purposes by Census Region and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Barrels per Day)" ,,,," Inputs for Heat",,," Primary Consumption" " "," Primary Consumption for all Purposes",,," Power, and Generation of Electricity",,," for Nonfuel Purposes",,,"RSE" ," ------------------------------------",,," ------------------------------------",,," -------------------------------",,,"Row" "Economic Characteristics(a)","LPG","Distillate(b)","Residual","LPG","Distillate(b)","Residual","LPG","Distillate(b)","Residual","Factors"

399

Electric Currents Electric Current  

E-Print Network (OSTI)

coefficient of resistivity Electric Power: = = = Also, = . So, = = 2 = 2 Unit of Power(P): Watt (WChapter 18 Electric Currents #12;Electric Current: Flow of electric charge Current is flow of positive charge. In reality it's the electron moves in solids- Electron current. #12;Ohm's Law : Resistance

Yu, Jaehoon

400

Biofuels Consumption | OpenEI  

Open Energy Info (EERE)

Biofuels Consumption Biofuels Consumption Dataset Summary Description Total annual biofuels consumption and production data by country was compiled by the Energy Information Administration (EIA). Data is presented as thousand barrels per day. Source EIA Date Released Unknown Date Updated Unknown Keywords Biofuels Biofuels Consumption EIA world Data text/csv icon total_biofuels_production_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) text/csv icon total_biofuels_consumption_2000_2010thousand_barrels_per_day.csv (csv, 9.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 2000 - 2010 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Coal consumption | OpenEI  

Open Energy Info (EERE)

consumption consumption Dataset Summary Description Total annual coal consumption by country, 1980 to 2009 (available as Quadrillion Btu). Compiled by Energy Information Administration (EIA). Source EIA Date Released Unknown Date Updated Unknown Keywords coal Coal consumption EIA world Data text/csv icon total_coal_consumption_1980_2009quadrillion_btu.csv (csv, 38.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period 1980 - 2009 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments

402

Manufacturing Consumption of Energy 1994  

U.S. Energy Information Administration (EIA) Indexed Site

(MECS) > MECS 1994 Combined Consumption and Fuel Switching (MECS) > MECS 1994 Combined Consumption and Fuel Switching Manufacturing Energy Consumption Survey 1994 (Combined Consumption and Fuel Switching) Manufacturing Energy Consumption Logo Full Report - (file size 5.4 MB) pages:531 Selected Sections (PDF format) Contents (file size 56 kilobytes, 10 pages). Overview (file size 597 kilobytes, 11 pages). Chapters 1-3 (file size 265 kilobytes, 9 pages). Chapter 4 (file size 1,070 kilobytes, 15 pages). Appendix A - Detailed Tables Tables A1 - A8 (file size 1,031 kilobytes, 139 pages). Tables A9 - A23 (file size 746 kilobytes, 119 pages). Tables A24 - A29 (file size 485 kilobytes, 84 pages). Tables A30 - A44 (file size 338 kilobytes, 39 pages). Appendix B (file size 194 kilobytes, 24 pages). Appendix C (file size 116 kilobytes, 16 pages).

403

Virginia Tech Comprehensive Power-based Fuel Consumption Model: Model Development and Testing  

E-Print Network (OSTI)

sources such as hybrid-electric technologies, bio-ethanol, and hydrogen fuel cells are emergingVirginia Tech Comprehensive Power-based Fuel Consumption Model: Model Development and Testing, Moran, Saerens, and Van den Bulck 2 ABSTRACT Existing fuel consumption and emission models suffer from

Rakha, Hesham A.

404

Solar and Alternative Power Supply: An Instrument towards Ecologically Sound Power Consumption?  

Science Journals Connector (OSTI)

Solar power and power produced by other renewable energies and supplied by power utilities are means towards replacing fossil fuels and ... friendly electricity production and consumption. We classify solar and a...

Sonja Gehrig; Nicole North

2001-01-01T23:59:59.000Z

405

How El Nino affects energy consumption: a study at national and regional levels  

E-Print Network (OSTI)

for home heating purposes. Hydroelectricity may also be affected by ENSO in the southeastern US but the results at this time are inconclusive. At the national level, ENSO influences the consumption of nuclear electricity....

Collins, Kathleen Jo

2009-06-02T23:59:59.000Z

406

Reducing Leaking Electricity  

NLE Websites -- All DOE Office Websites (Extended Search)

4 4 Reducing Leaking Electricity Figure 1. Full and standby power draws of some compact audio systems. A surprisingly large number of appliances-from computer peripherals to cable TV boxes to radios-consume electricity even after they have been switched off. Other appliances, such as cordless telephones, remote garage door openers, and battery chargers don't get switched off but draw power even when they are not performing their principal functions. The energy used while the appliance is switched off or not performing its primary purpose is called "standby consumption" or "leaking electricity." This consumption allows TVs, VCRs and garage-door openers to be ready for instant-on with a remote control, microwave ovens to display a digital

407

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: October 2011 Highlights: October 2011 Mixed temperatures led to flat retail sales of electricity during October 2011. Coal-fired generation decreased or was flat across the United States except for the Central region when compared to October 2010. October's electric system load remained in the mid-to-low section of the annual range in many electric systems across the United States. Key Indicators Oct. 2011 % Change from Oct. 2010 Total Net Generation (Thousand MWh) 309,400 0.5% Residential Retail Price (cents/kWh) 12.12 2.2% Retail Sales (Thousand MWh) 285,156 -0.9% Heating Degree-Days 259 8.8% Natural Gas Price, Henry Hub ($/MMBtu) 3.68 4.0% Coal Stocks (Thousand Tons) 156,880 -10.7% Coal Consumption (Thousand Tons) 69,627 -1.8% Natural Gas Consumption (Mcf) 603,724 1.6%

408

Energy security and sustainable development implications for Guatemala of the Electricity Generation Expansion Plan 2014-2028.  

E-Print Network (OSTI)

?? Electricity consumption in Guatemala has been steadily increasing during the recent years, challenging the generation sector to keep up with the pace of electricity (more)

Ochaeta Paz, Karen

2014-01-01T23:59:59.000Z

409

Energy Policy The university is committed to reducing its consumption of energy and promoting low carbon, energy  

E-Print Network (OSTI)

Energy Policy June 2009 The university is committed to reducing its consumption of energy and promoting low carbon, energy saving and energy efficiency initiatives as part of its Sustainable Development programme. Tackling climate change is one of our highest priorities and this reflects UK policy. Our Energy

Haase, Markus

410

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

General information about EIA data on energy consumption may be obtained from Wray Smith, Director, Office of Energy Markets and End Use (202- 252-1617); Lynda T. Carlson,...

411

Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost  

E-Print Network (OSTI)

is to perform demand side management (DSM) [1], which aims at matching the consum- ers' electricity demand between electricity consumption and generation. On the consumption side, electric demand ramps upDistributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue

Pedram, Massoud

412

Carbon print studies for the energy conservation regulations of the UK and China  

Science Journals Connector (OSTI)

The recently published building energy conservation regulation of China (GB50189-2005, 2005 [1]) was compared with the latest UK building energy conservation regulation (Part L) (Building Regulation Approved Document L2A, 2006 [2]). The UK regulation appeared stricter in its requirements and standards than the Chinese regulation. In two case studies, the design of a sample building is altered to fulfil the minimum requirements of the two regulations. The energy consumption and Carbon print of the virtual building under the two set of regulations are estimated by computer based models in the two case studies based on a building in the Cold regions. The building under the UK regulation showed higher energy efficiency and less Carbon emissions per year. The high level estimate in the case studies discovered a potential energy savings of 29% by strengthening the design requirements in the Chinese regulation to the UK level. The improvement on energy efficiency of buildings can be achieved in strengthening the proactive design aspects on building envelope, efficient HVAC, lighting and lighting control system. The software used was SBEM which is the default tool in the UK Part L regulation.

Nannan Wang; Yen-Chiang Chang; Volker Dauber

2010-01-01T23:59:59.000Z

413

UK mining invests, suppliers profit  

SciTech Connect

In the midst of a major economic crisis in the United Kingdom, equipment suppliers have been reporting a number of considerable purchases by British coal mining companies. In December 2008, Liebherr-Great Britain delivered the first two of four Rq350 Litronic hydraulic excavators for use at the Broken Cross opencast coal site in Lanarkshire, Scotland. Ten Terex TR100 rigid haulers were delivered to the site in late 2008. Hatfield Colliery at Stainforth, South Yorkshire, has been reopened by PowerFuel. The main equipment for two longwall faces was supplied by Joy Mining Machinery UK Ltd. 2 photos.

NONE

2009-04-15T23:59:59.000Z

414

Role of large scale storage in a UK low carbon energy future Philipp Grunewalda  

E-Print Network (OSTI)

round trip efficiency, both compressed air energy storage and hydrogen storage could become potentialRole of large scale storage in a UK low carbon energy future Philipp Gr¨unewalda , Tim Cockerilla Large scale storage offers the prospect of using excess electricity within a low carbon energy system

415

Affording Gas and Electricity: Self Disconnection and  

E-Print Network (OSTI)

Affording Gas and Electricity: Self Disconnection and Rationing by Prepayment and Low Income Credit interview schedule................................... liv #12;2 Fuel Usage and Consumption Patterns of Low electricity, but this seems to be because gas prepayers have lower average income than electricity prepayers

Feigon, Brooke

416

British electricity policy in flux : paradigm ambivalence and technological tension  

E-Print Network (OSTI)

Drastic changes have taken place in UK electricity policy over recent years as government has sought to address the challenges associated with energy security, affordability and commitments to reduce carbon emissions. ...

Emamian, Seyed Mohamad Sadegh

2014-07-01T23:59:59.000Z

417

Smith Electric Vehicles SEV Group Ltd | Open Energy Information  

Open Energy Info (EERE)

Ltd Jump to: navigation, search Name: Smith Electric Vehicles (SEV) Group Ltd Place: Tyne & Wear, United Kingdom Zip: NE38 9DA Sector: Vehicles Product: UK-based manufacturer of...

418

Carbon Capture and Storage: Sustainability in the UK energy mix yryfasyfrtsayfsaytrsyfysa 1 UK Energy Research Centre  

E-Print Network (OSTI)

Carbon Capture and Storage: Sustainability in the UK energy mix yryfasyfrtsayfsaytrsyfysa 1 UK Energy Research Centre CARBON CAPTURE AND STORAGE: SUSTAI NABI LI TY I N THE UK ENERGY MI X WorkshopSciences, University of Edinburgh Event organised and sponsored by: #12;Carbon Capture and Storage: Sustainability

419

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network (OSTI)

Solar Energy Center ABSTRACT Currently, total electricity consumption of furnacesFurnace Blower Electricity: National and Regional Savings Potential Victor Franco, James Lutz, Alex Lekov, and Lixing Gu (Florida Solar

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

420

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: September 2011 Resource Use: September 2011 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By generator type By fuel type Region map map showing electricity regions Fossil steam generation, primarily coal-fired, is most pronounced in the Central region and supplies close to half of the electricity in the

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: August 2011 Resource Use: August 2011 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation output by region By generator type By fuel type Region map map showing electricity regions Fossil steam generation, primarily coal-fired, predominants in the Central region and supplies close to half of the electricity in the Southeast and

422

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: December 2011 Electric Power Sector Coal Stocks: December 2011 Stocks Temperate weather throughout the fall has allowed electric power sector coal stocks to replenish from the summer burn. All coal stockpile levels were essentially flat when compared to December 2010 and were a mostly up year-to-date. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was essentially flat compared to last month and remained below levels seen in December of 2010 or 2009. While stockpile levels have recovered from summer lows, the increasing

423

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: September 2011 Electric Power Sector Coal Stocks: September 2011 Stocks Electric power sector coal stocks continued to replenish after the summer burn in October, though stockpile levels remain well below 2010 levels. All coal stockpile levels declined from October 2010, with bituminous coal stockpile levels 12 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was generally flat in October 2011 compared to September of this year. The summer of 2011 saw significant declines in total U.S. stockpile levels, which were replenished in the

424

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: November 2011 Electric Power Sector Coal Stocks: November 2011 Stocks As discussed in this month's feature story, electric power sector coal stocks continued to replenish after the summer burn in November, though stockpile levels remain below 2010 and 2009 levels. All coal stockpile levels declined from November 2010, with bituminous coal stockpile levels 9 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants dropped slightly from last month and remained below levels seen in November of 2010 or 2009. While

425

Fuel Consumption | ornl.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Fuel Consumption, CO2 Emissions, And A Simple Connection To the Vehicle Road Load Equation Jan 15 2014 11:30 AM - 12:30 PM Glen E. Johnson Tennessee Tech University, Cookeville Energy and Transportation Science Division Seminar National Transportation Research Center, Room C-04 CONTACT : Email: Andreas Malikopoulos Phone:865.382.7827 Add to Calendar SHARE Ambitious goals have been set to reduce fuel consumption and CO2 emissions over the next generation. Starting from first principles, we will derive relations to connect fuel consumption and carbon dioxide emissions to a vehicle's road load equation. The model suggests approaches to facilitate achievement of future fuel and emissions targets. About the speaker: Dr. Johnson is a 1973 Mechanical Engineering graduate of Worcester

426

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

427

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

17 17 Table C12. Total Energy Consumption, Gross Domestic Product (GDP), Energy Consumption per Real Dollar of GDP, Ranked by State, 2011 Rank Total Energy Consumption Gross Domestic Product (GDP) Energy Consumption per Real Dollar of GDP State Trillion Btu State Billion Chained (2005) Dollars State Thousand Btu per Chained (2005) Dollar 1 Texas 12,206.6 California 1,735.4 Louisiana 19.7 2 California 7,858.4 Texas 1,149.9 Wyoming 17.5 3 Florida 4,217.1 New York 1,016.4 North Dakota 15.4 4 Louisiana 4,055.3 Florida 661.1 Alaska 14.3 5 Illinois 3,977.8 Illinois 582.1 Mississippi 13.8 6 Ohio 3,827.6 Pennsylvania 500.4 Kentucky 13.5

428

Energy Consumption in Access Networks  

Science Journals Connector (OSTI)

We present a comparison of energy consumption of access networks. We consider passive optical networks, fiber to the node, point-to-point optical systems and WiMAX. Optical access...

Baliga, Jayant; Ayre, Robert; Sorin, Wayne V; Hinton, Kerry; Tucker, Rodney S

429

The Wealth-Consumption Ratio  

E-Print Network (OSTI)

We derive new estimates of total wealth, the returns on total wealth, and the wealth effect on consumption. We estimate the prices of aggregate risk from bond yields and stock returns using a no-arbitrage model. Using these ...

Verdelhan, Adrien Frederic

430

Progressive consumption : strategic sustainable excess  

E-Print Network (OSTI)

Trends in the marketplace show that urban dwellers are increasingly supporting locally produced foods. This thesis argues for an architecture that responds to our cultures consumptive behaviors. Addressing the effects of ...

Bonham, Daniel J. (Daniel Joseph MacLeod)

2007-01-01T23:59:59.000Z

431

Energy consumption of building 39  

E-Print Network (OSTI)

The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and ...

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

432

Energy Consumption Profile for Energy  

E-Print Network (OSTI)

317 Chapter 12 Energy Consumption Profile for Energy Harvested WSNs T. V. Prabhakar, R Venkatesha.............................................................................................318 12.2 Energy Harvesting ...................................................................................318 12.2.1 Motivations for Energy Harvesting...............................................319 12

Langendoen, Koen

433

Manufacturing Consumption of Energy 1994  

U.S. Energy Information Administration (EIA) Indexed Site

S Y M n i 1 y 2 i (W i ) (W i 1) , Energy Information Administration, Manufacturing Energy Consumption Survey: Methodological Report 1985. Although this report describes 44...

434

Asset Pricing with Countercyclical Household Consumption Risk  

E-Print Network (OSTI)

1 Asset Pricing with Countercyclical Household Consumption Risk George M. Constantinides that shocks to household consumption growth are negatively skewed, persistent, and countercyclical and play that drives the conditional cross-sectional moments of household consumption growth. The estimated model

Sadeh, Norman M.

435

Optimal consumption strategies under model uncertainty  

E-Print Network (OSTI)

Optimal consumption strategies under model uncertainty Christian Burgert, Ludger R of finding optimal consumption strategies in an incomplete semimartingale market model under model uncertainty. The quality of a consumption strategy is measured by not only one probability measure

Rüschendorf, Ludger

436

Manufacturing consumption of energy 1991  

SciTech Connect

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.

Not Available

1994-12-01T23:59:59.000Z

437

Spatial and Temporal Impacts on Water Consumption in Texas from Shale Gas Development and Use  

Science Journals Connector (OSTI)

Spatial and Temporal Impacts on Water Consumption in Texas from Shale Gas Development and Use ... Despite the water intensity of hydraulic fracturing, recent life cycle analyses have concluded that increased shale gas development will lead to net decreases in water consumption if the increased natural gas production is used at natural gas combined cycle power plants, shifting electricity generation away from coal-fired steam cycle power plants. ... This work expands on these studies by estimating the spatial and temporal patterns of changes in consumptive water use in Texas river basins during a period of rapid shale gas development and use in electricity generation from August 2008 through December 2009. ...

Adam P. Pacsi; Kelly T. Sanders; Michael E. Webber; David T. Allen

2014-06-24T23:59:59.000Z

438

Cancer Research UK eGMS Applicant Guide Cancer Research UK (eGMS) applicant guide June 2012 Page 1  

E-Print Network (OSTI)

Cancer Research UK eGMS Applicant Guide Cancer Research UK (eGMS) applicant guide June 2012 Page 1 2012 INTERNAL USER GUIDE A Guide to the Cancer Research UK electronic Grants Management System (e://egms.cancerresearchuk.org #12;Cancer Research UK eGMS Applicant Guide Cancer Research UK (eGMS) applicant guide June 2012 Page 2

439

The siting of UK nuclear reactors  

Science Journals Connector (OSTI)

Choosing a suitable site for a nuclear power station requires the consideration and balancing of several factors. Some 'physical' site characteristics, such as the local climate and the potential for seismic activity, will be generic to all reactors designs, while others, such as the availability of cooling water, the area of land required and geological conditions capable of sustaining the weight of the reactor and other buildings will to an extent be dependent on the particular design of reactor chosen (or alternatively the reactor design chosen may to an extent be dependent on the characteristics of an available site). However, one particularly interesting tension is a human and demographic one. On the one hand it is beneficial to place nuclear stations close to centres of population, to reduce transmission losses and other costs (including to the local environment) of transporting electricity over large distances from generator to consumer. On the other it is advantageous to place nuclear stations some distance away from such population centres in order to minimise the potential human consequences of a major release of radioactive materials in the (extremely unlikely) event of a major nuclear accident, not only in terms of direct exposure but also concerning the management of emergency planning, notably evacuation.This paper considers the emergence of policies aimed at managing this tension in the UK. In the first phase of nuclear development (roughly speaking 19451965) there was a highly cautious attitude, with installations being placed in remote rural locations with very low population density. The second phase (19651985) saw a more relaxed approach, allowing the development of AGR nuclear power stations (which with concrete pressure vessels were regarded as significantly safer) closer to population centres (in 'semi-urban' locations, notably at Hartlepool and Heysham). In the third phase (19852005) there was very little new nuclear development, Sizewell B (the first and so far only PWR power reactor in the UK) being colocated with an early Magnox station on the rural Suffolk coast. Renewed interest in nuclear new build from 2005 onward led to a number of sites being identified for new reactors before 2025, all having previously hosted nuclear stations and including the semi-urban locations of the 1960s and 1970s. Finally, some speculative comments are made as to what a 'fifth phase' starting in 2025 might look like.

Malcolm Grimston; William J Nuttall; Geoff Vaughan

2014-01-01T23:59:59.000Z

440

The UK geothermal hot dry rock R&D programme  

SciTech Connect

The UK hot dry rock research and development programme is funded by the Department of Energy and aims to demonstrate the feasibility of commercial exploitation of HDR in the UK. The philosophy of the UK programme has been to proceed to a full-scale prototype HDR power station via a number of stages: Phase 1--Experiments at shallow depth (300 m) to assess the feasibility of enhancing the permeability of the rock. Phase 2--Studies at intermediate depth (2500 m) to determine the feasibility of creating a viable HDR subsurface heat exchanger. Phase 3--Establishment of an HDR prototype at commercial depth. The programme has run over a 15 year period, and has been formally reviewed at stages throughout its progress. The 1987 review towards the end of Phase 2 identified a number of technical objectives for continuing research and proposed that the initial design stage of the deep HDR prototype should start. Phase 3A is now complete. It addressed: the feasibility of creating an underground HDR heat exchanger suitable for commercial operation; techniques for improving hydraulic performance and correcting short circuits in HDR systems; modeling of the performance, resource size and economic aspects of HDR systems. The work has been conducted by a number of contractors, including Cambome School of Mines, Sunderland and Sheffield City Polytechnics and RTZ Consultants Limited. This paper focuses upon the experimental work at Rosemanowes in Cornwall and the recently completed conceptual design of a prototype HDR power station. The economics of HDR-generated electricity are also discussed and the conclusions of a 1990 program review are presented. Details of the HDR program to 1994, as announced by the UK Department of Energy in February 1991, are included.

MacDonald, Paul; Stedman, Ann; Symons, Geoff

1992-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Demonstrating Fuel Consumption and Emissions Reductions with...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Fuel Consumption and Emissions Reductions with Next Generation Model-Based Diesel Engine Control Demonstrating Fuel Consumption and Emissions Reductions with Next Generation...

442

New York: Weatherizing Westbeth Reduces Energy Consumption |...  

Energy Savers (EERE)

York: Weatherizing Westbeth Reduces Energy Consumption New York: Weatherizing Westbeth Reduces Energy Consumption August 21, 2013 - 12:00am Addthis The New York State Homes and...

443

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

8A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 2 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

444

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

2A. Natural Gas Consumption and Conditional Energy Intensity by Year Constructed for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

445

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

0A. Natural Gas Consumption and Conditional Energy Intensity by Climate Zonea for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

446

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

7A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 1 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

447

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

5A. Natural Gas Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Natural Gas Consumption (billion cubic feet) Total Floorspace of...

448

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Year Constructed for Sum of Major Fuels for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of...

449

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

A. Consumption and Gross Energy Intensity by Climate Zonea for All Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square feet)...

450

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

0. Consumption and Gross Energy Intensity by Climate Zonea for Non-Mall Buildings, 2003 Sum of Major Fuel Consumption (trillion Btu) Total Floorspace of Buildings (million square...

451

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

9A. Natural Gas Consumption and Conditional Energy Intensity by Census Division for All Buildings, 2003: Part 3 Total Natural Gas Consumption (billion cubic feet) Total Floorspace...

452

Energy Information Administration - Transportation Energy Consumption...  

U.S. Energy Information Administration (EIA) Indexed Site

Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the...

453

Impact of Cost and Reliability on Energy-Saving for Industrial Electrical Drives  

Science Journals Connector (OSTI)

The total electricity consumption of the world today is about 12,000 TWh (terawatthour) per annum and 80% is dedicated to electrical drives. Thus, energy saving is dominant in electrical drives where each per ...

Laszlo Szentirmai; Tivadar Szarka

2003-01-01T23:59:59.000Z

454

Econometric estimation of the petroleum products consumption in Nigeria: Assessing the premise for biofuels adoption  

Science Journals Connector (OSTI)

Abstract The promotion and adoption of biofuels in Nigeria must be predicated on sufficient capacity for absorbing biofuels produced from the increasing investments in biofuels plantations, plants and processing facilities. This paper assesses the socioeconomic and related premises for biofuels development in Nigeria by conducting an econometric estimation of the petroleum products consumption. The paper first estimates aggregated petroleum product consumption, and then assess the response to specific petroleum products in terms of consumption, market (population), electricity generation, installed electricity generation capacity, and GDP. The result shows that all the petroleum products contribute significantly and about equally to aggregate petroleum consumption. The high proportion of petrol (about 44 percent) as a percentage of the aggregate petroleum product consumption validates the push for implementing the E10 petrol-ethanol blending for Nigeria. The consumption of diesel is also significant. Diesel is another petroleum product for which D20 biofuel blending policy has been proposed. The increase in population and GDP, coupled with the poor electricity situation, will keep driving the consumption of petroleum products. As the population increases, and the country continues to struggle to match electricity generation with population growth, the petrol-ethanol and diesel-biodiesel blending policy must be pursued tenaciously to ensure a reduction in carbon emission in Nigeria.

Nelson Abila

2015-01-01T23:59:59.000Z

455

Evidence for trends in UK flooding  

Science Journals Connector (OSTI)

...flooding. | Recent major flooding in the UK has raised concern...of a long-term trend in flooding over the last 80-120 years...Gov't | Climate Computer Simulation Disasters Ecosystem Environmental...Evidence for trends in UK flooding By Alice J. Robson Centre...

2002-01-01T23:59:59.000Z

456

Implementing Agreement - U.S.-UK Collaboration in Fossil Energy...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Implementing Agreement - U.S.-UK Collaboration in Fossil Energy R&D Implementing Agreement - U.S.-UK Collaboration in Fossil Energy R&D Implementing Agreement - U.S.-UK...

457

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: January 2012 Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4% Residential Retail Price (cents/kWh) 11.43 4.4% Retail Sales (Thousand MWh) 310,859 -6.5% Heating Degree-Days 751 -21.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.75 -40.3% Coal Stocks (Thousand Tons) 181,621 10.2% Coal Consumption (Thousand Tons) 70,595 -21.7% Natural Gas Consumption (Mcf) 676,045 19.9% Nuclear Outages (MW) 9,567 2.1%

458

The Impact of Using Derived Fuel Consumption Maps to Predict...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the...

459

Energy Use and Water Consumption at University of Texas at Austin | OpenEI  

Open Energy Info (EERE)

Use and Water Consumption at University of Texas at Austin Use and Water Consumption at University of Texas at Austin Dataset Summary Description Provides annual energy usage for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005 through 2010. Source University of Texas (UT) at Austin, Utilities & Energy Management Date Released Unknown Date Updated Unknown Keywords Electricity Consumption Natural Gas Texas Unit Cost Electricity Unit Cost Natural Gas University Water Data application/vnd.ms-excel icon Energy and Water Use Data for UT-Austin (xls, 32.8 KiB) Quality Metrics Level of Review Some Review Comment Assume data was reviewed by someone at UT-Austin prior to adding to website. Temporal and Spatial Coverage

460

Table 3.2 Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

2 Fuel Consumption, 2010; 2 Fuel Consumption, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. NAICS Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 1,158 257 12 22 579 6 182 2 99 3112 Grain and Oilseed Milling 350 56 * 1 121 * 126 0 45 311221 Wet Corn Milling 214 25 * * 53 * 110 0 25 31131 Sugar Manufacturing 107 4 1 1 15 * 49 2 36 3114 Fruit and Vegetable Preserving and Specialty Foods 143 31 1 Q 100 1 2 0 4 3115 Dairy Products 105 33 2 2 66 1 * 0 2 3116 Animal Slaughtering and Processing 212 69 5 3 125 2 Q 0 8 312 Beverage and Tobacco Products 86 29 1 1 38 1 10 0 7 3121 Beverages

Note: This page contains sample records for the topic "uk electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Table 3.3 Fuel Consumption, 2010;  

U.S. Energy Information Administration (EIA) Indexed Site

3 Fuel Consumption, 2010; 3 Fuel Consumption, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,148 314 6 53 446 14 25 Q 291 20-49 1,018 297 13 22 381 18 97 5 185 50-99 1,095 305 7 13 440 6 130 9 186 100-249 1,728 411 16 11 793 7 131 7 353 250-499 1,916 391 16 11 583 3 185 5 722 500 and Over 7,323 720 21 21 2,569 21 300 348 3,323 Total 14,228 2,437 79 130 5,211 69 868 376 5,059 Employment Size Under 50 1,149 305 12 45 565 21 31

462

Personal Carbon Trading: a critical examination ofproposals for the UK  

E-Print Network (OSTI)

Anglia Norwich NR4 7TJ, UK *Corresponding author: g.seyfang@uea.ac.uk Tel: +44(0)1603 592956 Fax: +44(0)1603

Watson, Andrew

463

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: February 2012 Highlights: February 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during February 2012. Natural gas-fired generation increased in every region of the United States when compared to February 2011. Wholesale electricity prices remained in the low end of the annual range for most wholesale markets due to low demand and depressed natural gas prices Key Indicators Feb 2012 % Change from Feb. 2011 Total Net Generation (Thousand MWh) 310,298 -1.0% Residential Retail Price (cents/kWh) 11.55 3.9% Retail Sales (Thousand MWh) 285,684 -3.5% Heating Degree-Days 654 -12.0% Natural Gas Price, Henry Hub ($/MMBtu) 2.60 -38.1% Coal Stocks (Thousand Tons) 186,958 -13.6% Coal Consumption (Thousand Tons) 62,802 -14.6% Natural Gas Consumption

464

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: November 2011 Highlights: November 2011 Warm temperatures across the Eastern half of the continental U.S. led to flat or lower retail sales of electricity during November 2011. Coal-fired generation decreased in every region of the United States when compared to November 2010. Wholesale electricity prices set annual lows across the East coast as well as in the ERCOT portion of Texas in November 2011. Key Indicators Nov. 2011 % Change from Nov. 2010 Total Net Generation (Thousand MWh) 304,268 -0.6% Residential Retail Price (cents/kWh) 11.88 2.2% Retail Sales (Thousand MWh) 273,053 -0.7% Heating Degree-Days 469 -10.3% Natural Gas Price, Henry Hub ($/MMBtu) 3.32 -13.8% Coal Stocks (Thousand Tons) 168,354 8.9% Coal Consumption (Thousand Tons) 66,789 -8.2% Natural Gas Consumption

465

Today in Energy - commercial consumption & efficiency  

Reports and Publications (EIA)

Short, timely articles with graphs about recent commercial consumption and efficiency issues and trends.

2028-01-01T23:59:59.000Z

466

Residential Energy Consumption Survey (RECS) - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energy consumption and characteristics August 19, 2013 All 48 related articles › Other End Use Surveys Commercial Buildings - CBECS Manufacturing - MECS Transportation About the RECS EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage

467

Electric power monthly, July 1994  

SciTech Connect

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels. Data on quantity, quality, and cost of fossil fuels lag data on net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour by 1 month. This difference in reporting appears in the US, Census division, and State level tables. However, for purposes of comparison, plant-level data are presented for the earlier month.

Not Available

1994-07-01T23:59:59.000Z

468

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: October 2011 Resource Use: October 2011 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By generator type By fuel type Region map map showing electricity regions Consistent with the retail sales numbers, generation output rose in Texas, as well as the Central and Mid-Atlantic regions and declined or remained

469

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: October 2013 Resource Use: October 2013 Supply and Fuel Consumption In this section, we look at the resources used to produce electricity. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below, electricity generation output by fuel type and generator type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By fuel type By generator type Region map map showing electricity regions In October 2013, net generation in the United States increased 1.0 percent compared to the previous year. This increase in electricity generation occurred mainly in the Mid-Atlantic, Central, and Southeast regions, along

470

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: March 2012 Resource Use: March 2012 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By generator type By fuel type Region map map showing electricity regions Generation output declined across much of the country in March due to unseasonably warm temperatures. The two regions that observed small

471

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: March 2012 Electric Power Sector Coal Stocks: March 2012 Stocks The seasonal winter drawdown of coal stocks was totally negated during the winter months this year due to low natural gas prices and unseasonably warm temperatures throughout the continental United States. In fact, March 2012 was the seventh straight month that coal stockpiles at power plants increased from the previous month. The largest driver of increasing stockpiles has been declining consumption of coal due to unseasonably warm weather and declining natural gas prices. Because much of the coal supplied to electric generators is purchased through long-term contracts, increasing coal stockpiles have proven difficult for electric power plant operators to handle. Some operators have inventories so high that they are refusing

472

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: February 2012 Resource Use: February 2012 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By generator type By fuel type Region map map showing electricity regions Generation output declined in almost all regions in February due to unseasonably warm temperatures. Following the same pattern as January,

473

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: December 2011 Resource Use: December 2011 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By generator type By fuel type Region map map showing electricity regions Generation output declined in all regions, with the exception of the West and Texas, due to unseasonably warm temperatures in December. Fossil steam

474

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: November 2011 Resource Use: November 2011 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By generator type By fuel type Region map map showing electricity regions Generation output declined or remained relatively flat in all regions except for Texas and the Southeast. Both of these regions saw generation

475

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Resource Use: January 2012 Resource Use: January 2012 Supply and Fuel Consumption In this section, we look at what resources are used to produce electricity. Electricity supplied from the grid is consumed the moment it is produced. Generating units are chosen to run primarily on their operating costs, of which fuel costs account for the lion's share. Therefore, we present below electricity generation output by generator type and fuel type. Since the generator/fuel mix of utilities varies significantly by region, we also present generation output by region. Generation Output by Region By generator type By fuel type Region map map showing electricity regions Generation output declined in all regions due to unseasonably warm temperatures in January. Fossil steam generation followed total generation

476

OpenEI - Energy Consumption  

Open Energy Info (EERE)

Commercial and Commercial and Residential Hourly Load Profiles for all TMY3 Locations in the United States http://en.openei.org/datasets/node/961 This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols).  This dataset also includes the consumption/residential/">Residential Energy Consumption Survey (RECS) for statistical references of building types

477

Fuel consumption model for FREFLO  

E-Print Network (OSTI)

above, Biggs and Akcelik (1985) proposed a model of the following form: f = fsito + &Pr + z[apr)o o (5) where, Po = total drag power P, = inertia power a = instantaneous acceleration 8, = fuel consumption per unit power 8, = fuel consumption per... that is additional to S, P, . This component is expressed as SzaP, , where &z is considered to be a secondary efficiency parameter that relates fuel to the product of inertia power and acceleration rate, for positive accelerations. This term allows for the effects...

Rao, Kethireddipalli Srinivas

1992-01-01T23:59:59.000Z

478

Estimating response to price signals in residential electricity consumption.  

E-Print Network (OSTI)

?? Based on a previous empirical study of the effect of a residential demand response program in Sala, Sweden, this project investigated the economic consequences (more)

Huang, Yizhang

2013-01-01T23:59:59.000Z

479

The Supply and Demand Models Based on Electricity Consumption  

Science Journals Connector (OSTI)

Analyzing how the supply and demand of a commodity changes as a function of its price is one of the many purposes of the field of economics. The supply and demand model of a commodity is also the most efficient a...

Zhaoguang Hu; Zheng Hu

2013-01-01T23:59:59.000Z

480

Table 6a. Total Electricity Consumption per Effective Occupied...  

Annual Energy Outlook 2012 (EIA)

Building Activity Education 306 237 27 29 Food Sales and Service 403 251 108 116 Health Care 66 139 68 78 Lodging 156 190 65 68 Mercantile and Service 1,328 448 35 37...

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481

Energy Information Administration - Energy Efficiency-Table 5b. Consumption  

Gasoline and Diesel Fuel Update (EIA)

b b Page Last Modified: June 2010 Table 5b. Consumption of Energy for All Purposes (First Use) per Ton of Steel, 1998, 2002, and 2006 (Million Btu per ton) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 19982 20022 20062 Total 3 17 16 13 Net Electricity 4 2 2 2 Natural Gas 5 5 4 Coal 7 6 4 Notes: 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 2. Denominators represent the entire steel industry, not those based mainly on electric, natural gas, residual fuel oil or coal.

482

Microsoft Word - EVS25_Primary Factors Impact Fuel Consumption of PHEV_FINAL.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

EVS-25 Shenzhen, China, Nov. 5-9, 2010 EVS-25 Shenzhen, China, Nov. 5-9, 2010 The 25th World Battery, Hybrid and Fuel Cell Electric Vehicle Symposium & Exhibition Factors Affecting the Fuel Consumption of Plug-In Hybrid Electric Vehicles Richard 'Barney' Carlson, Matthew G. Shirk, and Benjamin M. Geller Energy Storage and Transportation Systems Department, Idaho National Laboratory 2525 N. Fremont Ave., Idaho Falls, ID 83401, USA E-mail: richard.carlson@inl.gov Abstract- Plug-in hybrid electric vehicles (PHEVs) have proven to significantly reduce petroleum consumption when compared to conventional internal combustion engine vehicles by utilizing onboard electrical energy storage for propulsion. Through extensive testing of PHEVs, analysis has shown that fuel consumption of PHEVs is more

483

Causal relationship between energy consumption and GDP in Tunisia: aggregated and disaggregated analysis  

Science Journals Connector (OSTI)

This study investigates the causality between energy consumption and GDP in Tunisia for the 1980 to 2009 period at both aggregated and disaggregated levels as oil, natural gas, and electricity. To determine the Granger causality in the presence of cointegration between variables, a vector error correction model (VECM) is used instead of an autoregressive model (VAR). In the short-run, the neutrality hypothesis is supported between total energy consumption and GDP. This is also true between GDP and oil consumption in one hand and the gas consumption in other hand. Whereas a unidirectional is detected from electricity to the GDP is found (growth hypothesis). In the long-run, total energy consumption, in aggregate and disaggregated forms (gas and electricity) causes GDP (growth hypothesis). For against GDP causes oil consumption (conservation hypothesis). Consequently, the policy makers in Tunisia should place priority an increased commitment to aggregated and disaggregated energy consumption will stabilise the country's inefficient spending and allow it to have a stable income stream in the short-term to raise capital for its long-term investments.

Mehdi Abid; Rafaa Mraihi

2014-01-01T23:59:59.000Z

484

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

Science Journals Connector (OSTI)

Abstract This paper tests for the short and long-run relationship between economic growth, carbon dioxide (CO2) emissions and energy consumption, using the Environmental Kuznets Curve (EKC) by employing both the aggregated and disaggregated energy consumption data in Malaysia for the period 19802009. The Autoregressive Distributed Lag (ARDL) methodology and JohansenJuselius maximum likelihood approach were used to test the cointegration relationship; and the Granger causality test, based on the vector error correction model (VECM), to test for causality. The study does not support an inverted U-shaped relationship (EKC) when aggregated energy consumption data was used. When data was disaggregated based on different energy sources such as oil, coal, gas and electricity, the study does show evidences of the EKC hypothesis. The long-run Granger causality test shows that there is bi-directional causality between economic growth and CO2 emissions, with coal, gas, electricity and oil consumption. This suggests that decreasing energy consumption such as coal, gas, electricity and oil appears to be an effective way to control CO2 emissions but simultaneously will hinder economic growth. Thus suitable policies related to the efficient consumption of energy resources and consumption of renewable sources are required.

Behnaz Saboori; Jamalludin Sulaiman

2013-01-01T23:59:59.000Z

485

Microsoft Word - Conserving Electric Energy.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Conserving Electric Energy 1 Conserving Electric Energy 1 Activity: Conserving Electric Energy (Information courtesy of the American Coal Foundation) Overview: Students participate in two experiments in which they (1) gain an appreciation for their dependency on electricity and (2) learn how regulating the rate of energy consumption makes the energy source last longer. Objectives: Students will: * gain an appreciation for their dependency on electricity, * analyze and contrast two graphs measuring the consumption of a resource under modified regulations, and * understand that regulating the rate of consumption of a resource allows it to last longer. Materials: Pen and paper Cookies or crackers (two per student)* Overhead projector or blackboard *Do not use any products that contain peanuts in case there are students with allergies.

486

Electric Metering | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Electric Electric Metering Electric Metering Saving Money by Saving Energy The Department of Energy has installed meters in the James Forrestal Building that will enable DOE to measure electricity use and costs in its headquarters facility. You may explore this data further by visiting our Forrestal Metering Dashboard at the following website: http://forrestal.nrel.gov The Forrestal electric meters provide daily read-outs and comparison of data on electricity consumption for overhead lighting and power outlets. The purpose is to measure the electricity used by equipment that building occupants can control. Data is collected and reported by zones throughout Forrestal's north, south and west buildings. See the Forrestal metering zone map, below, for details on the zones.

487

Electric Utility Industrial Conservation Programs  

E-Print Network (OSTI)

Electrical Machinery and Equip. 7.0 3.3 3 7.6 3.0 10 7 0 10.8 100.0 90 11.9 100.0 353,5 4 * Total of 12 Industry Maximum Demand s is 832 MW. *..', Total of 12 Industry Annual Electricity Consumption is 2,981,090 Mlm. 723 ESL-IE-83-04-114 Proceedings... Electrical Machinery and Equip. 7.0 3.3 3 7.6 3.0 10 7 0 10.8 100.0 90 11.9 100.0 353,5 4 * Total of 12 Industry Maximum Demand s is 832 MW. *..', Total of 12 Industry Annual Electricity Consumption is 2,981,090 Mlm. 723 ESL-IE-83-04-114 Proceedings...

Norland, D. L.

1983-01-01T23:59:59.000Z

488

Rail Transit and Energy Consumption  

Science Journals Connector (OSTI)

...Transit and Energy Consumption In a recent issue...D.C. 20418 The Diesel's Advantages It...p. 517). The diesel car, while it has...Other types of engine can be made to meet...catalysts by using leaded fuel because it is 3 to...politically unpopular. The diesel car requires no add-on...

CHARLES A. LAVE

1977-09-02T23:59:59.000Z

489

NPP Grassland: Beacon Hill, U.K.  

NLE Websites -- All DOE Office Websites (Extended Search)

Beacon Hill, U.K., 1972-1973 Beacon Hill, U.K., 1972-1973 [PHOTOGRAPH] Photograph: General view of study site in 1973 (click on the photo to view a series of images from this site). Data Citation Cite this data set as follows: Williamson, P., and J. Pitman. 1998. NPP Grassland: Beacon Hill, U.K., 1972-1973. Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. Description Productivity of a chalk grassland was studied from 1972 to 1973 at Beacon Hill, West Sussex, U.K. Measurements of above-ground live biomass and total dead matter were made approximately bi-monthly. Above-ground net primary production was estimated by several methods, including peak live biomass, peak total live and dead, and accounting for turnover determined from

490

Modelling the UK perennial energy crop market  

E-Print Network (OSTI)

Biomass produced from perennial energy crops, Miscanthus and willow or poplar grown as short-rotation coppice, is expected to contribute to UK renewable energy targets and reduce the carbon intensity of energy production. ...

Alexander, Peter Mark William

2014-11-27T23:59:59.000Z

491

Opening a UK bank account money&consumeradvice  

E-Print Network (OSTI)

Opening a UK bank account money&consumeradvice Student Information, Advice & Guidance www a non-UK bank card you will be charged every time you withdraw money from cash machines. · If you get a job in the UK your employer will want to pay your money directly into a UK accounts. · You cannot set

Applebaum, David

492

Securing major investment in the UK timber processing industry  

E-Print Network (OSTI)

Egger UK Securing major investment in the UK timber processing industry objectives An Austrian, for a £100 million investment. Egger UK supplies 25% of the UK demand for chipboard. Investment in a new. This investment will catalyse active woodland management helping to create and maintain vital habitats for rare

493

Energy savings attributable to switching from master metering to individual metering of electricity  

SciTech Connect

This technical memo reviews and analyzes the published literature on electricity consumption by tenants in residential buildings with individual meters, compared with electricity consumption in residential buildings with master meters. An important finding is that energy savings of individual over master metering are strongly correlated with the price of electricity.

Nelson, S.H.

1981-01-01T23:59:59.000Z

494

Publication and citation statistics for UK astronomers  

E-Print Network (OSTI)

This article presents a survey of publication and citation statistics for 835 UK professional astronomers: the majority of academics and contract researchers within the UK astronomical community. I provide histograms of these bibliometrics for the whole sample as well as of the median values for the individual departments. I discuss the distribution of top bibliometric performers in the sample, and make some remarks on the usage of bibliometrics in a real-world assessment exercise.

A. J. Blustin

2007-12-28T23:59:59.000Z

495

UK now claims world's top discovery rate  

SciTech Connect

UK explorers are a bit more cheerful these days even though no one has discovered a giant field or anything elephant-sized. The reason is a benign tax regime and a growing confidence among industry explorers. This last has resulted in discovery of many smaller fields - particularly gas, some potentially commercial. It is claimed that the UK's discovery rate is now the highest in the world.

Not Available

1985-05-01T23:59:59.000Z

496

EIA - International Energy Outlook 2008-Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity International Energy Outlook 2008 Chapter 5 - Electricity World electricity generation nearly doubles in the IEO2008 reference case from 2005 to 2030. In 2030, generation in the non-OECD countries is projected to exceed generation in the OECD countries by 46 percent. Figure 52. Growth in World Electric Power Generation and Total Energy Consumption and Total Energy Consumption, 1990-2030 (Index, 1990 = 1). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 53. World Net Electric Power Generation, 1990-2030 (Trillion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 34. World Electricity Generation by Fuel, 2005-2030 (Trillion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800.

497

Electricity Data Browser | Open Energy Information  

Open Energy Info (EERE)

Data Browser Data Browser Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Electricity Data Browser Agency/Company /Organization: U.S. Energy Information Administration Sector: Energy Resource Type: Software/modeling tools User Interface: Website Website: www.eia.gov/electricity/data/browser/ Web Application Link: www.eia.gov/electricity/data/browser/ Language: English Electricity Data Browser Screenshot References: EIA[1] EIA Today In Energy[2] Logo: Electricity Data Browser Use to find generation, fuel consumption, sales, revenue and average price time series, and even drill down to the plant level data. Overview The U.S. Energy Information Administration recently posted an electricity data browser to show generation, consumption, fossil fuel receipts, stockpiles, retail sales, and electricity prices. The data appear on an

498

Photovoltaic electric power applied to Unmanned Aerial Vehicles (UAV)  

SciTech Connect

Photovoltaic electric-powered flight is receiving a great deal of attention in the context of the United States` Unmanned Aerial Vehicle (UAV) program. This paper addresses some of the enabling technical areas and their potential solutions. Of particular interest are the long-duration, high-altitude class of UAV`s whose mission it is to achieve altitudes between 60,000 and 100,000 feet, and to remain at those altitudes for prolonged periods performing various mapping and surveillance activities. Addressed herein are studies which reveal the need for extremely light-weight and efficient solar cells, high-efficiency electric motor-driven propeller modules, and power management and distribution control elements. Since the potential payloads vary dramatically in their power consumption and duty cycles, a typical load profile has been selected to provide commonality for the propulsion power comparisons. Since missions vary widely with respect to ground coverage requirements, from repeated orbiting over a localized target to long-distance routes over irregular terrain, the authors have also averaged the power requirements for on-board guidance and control power, as well as ground control and communication link utilization. In the context of the national technology reinvestment program, wherever possible they modeled components and materials which have been qualified for space and defense applications, yet are compatible with civilian UAV activities. These include, but are not limited to, solar cell developments, electric storage technology for diurnal operation, local and ground communications, power management and distribution, and control servo design. And finally, the results of tests conducted by Wright Laboratory on ultralight, highly efficient MOCVD GaAs solar cells purchased from EPI Materials Ltd. (EML) of the UK are presented. These cells were also used for modeling the flight characteristics of UAV aircraft.

Geis, J.; Arnold, J.H. [Rockwell International Corp., Canoga Park, CA (United States)

1994-09-01T23:59:59.000Z

499

AEO2011: Renewable Energy Consumption by Sector and Source | OpenEI  

Open Energy Info (EERE)

Consumption by Sector and Source Consumption by Sector and Source Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 17, and contains only the reference case. The dataset uses quadrillion Btu. The data is broken down into marketed renewable energy, residential, commercial, industrial, transportation and electric power. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords Commercial Electric Power Industrial Renewable Energy Consumption Residential sector source transportation Data application/vnd.ms-excel icon AEO2011: Renewable Energy Consumption by Sector and Source- Reference Case (xls, 105 KiB) Quality Metrics Level of Review Peer Reviewed

500

Household Vehicles Energy Consumption 1991  

U.S. Energy Information Administration (EIA) Indexed Site

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one