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Note: This page contains sample records for the topic "annual 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

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

2

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

Broader source: Energy.gov (indexed) [DOE]

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

3

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

4

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

5

annual energy consumption | OpenEI  

Open Energy Info (EERE)

energy consumption energy consumption Dataset Summary Description Provides annual renewable energy consumption by source and end use between 1989 and 2008. This data was published and compiled by the Energy Information Administration. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords annual energy consumption consumption EIA renewable energy Data application/vnd.ms-excel icon historical_renewable_energy_consumption_by_sector_and_energy_source_1989-2008.xls (xls, 41 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 1989-2008 License License Creative Commons CCZero Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

6

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

7

Issues in International Energy Consumption Analysis: Electricity...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

8

Electric power annual 1992  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric utility statistics at national, regional and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts and the general public with historical data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. ``The US Electric Power Industry at a Glance`` section presents a profile of the electric power industry ownership and performance, and a review of key statistics for the year. Subsequent sections present data on generating capability, including proposed capability additions; net generation; fossil-fuel statistics; retail sales; revenue; financial statistics; environmental statistics; electric power transactions; demand-side management; and nonutility power producers. In addition, the appendices provide supplemental data on major disturbances and unusual occurrences in US electricity power systems. Each section contains related text and tables and refers the reader to the appropriate publication that contains more detailed data on the subject matter. Monetary values in this publication are expressed in nominal terms.

Not Available

1994-01-06T23:59:59.000Z

9

Electric power annual 1997. Volume 1  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric power industry statistics at national, regional, and State levels. The objective of the publication is to provide industry decisionmakers, government policy-makers, analysts, and the general public with data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. Volume 1 -- with a focus on US electric utilities -- contains final 1997 data on net generation and fossil fuel consumption, stocks, receipts, and cost; preliminary 1997 data on generating unit capability, and retail sales of electricity, associated revenue, and the average revenue per kilowatthour of electricity sold (based on a monthly sample: Form EIA-826, ``Monthly Electric Utility Sales and Revenue Report with State Distributions``). Additionally, information on net generation from renewable energy sources and on the associated generating capability is included in Volume 1 of the EPA.

NONE

1998-07-01T23:59:59.000Z

10

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

11

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

12

Electric power annual 1996. Volume 1  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric power industry statistics at national, regional, and State levels. The objective of the publication is to provide industry decisionmakers, government policy-makers, analysts, and the general public with data that may be used in understanding US electricity markets. The Electric Power Annual is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. Volume 1--with a focus on US electric utilities--contains final 1996 data on net generation and fossil fuel consumption, stocks, receipts, and cost; preliminary 1996 data on generating unit capability, and retail sales of electricity, associated revenue, and the average revenue per kilowatthour of electricity sold. Additionally, information on net generation from renewable energy sources and on the associated generating capability is included in Volume 1 of the EPA. Data published in the Electric Power Annual Volume 1 are compiled from three statistical forms filed monthly and two forms filed annually by electric utilities. These forms are described in detail in the Technical Notes. 5 figs., 30 tabs.

NONE

1997-08-01T23:59:59.000Z

13

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

14

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

15

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

16

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

17

Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988  

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

Manufacturing > Derived Annual Estimates - Executive Summary Manufacturing > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the U.S. economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982-84 and 1986-87. For the purposes of this report, "purchased" energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the U.S. Department of Commerce Bureau of the Census's Annual Survey of Manufactures (ASM) and EIA's Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as "offsite-produced fuels." The completed annual series for 1974 to 1988 developed in this report links the ASM and MECS "offsite" series, estimating for the missing years. Estimates are provided for the manufacturing sector as a whole and at the two-digit Standard Industrial Classification (SIC) level for total energy consumption and for the consumption of individual fuels. There are no direct sources of data for the missing years (1982-1984 and 1986-1987). To derive consumption estimates, a comparison was made between the ASM, MECS, and other economic series to see whether there were any good predictors for the missing data. Various estimation schemes were analyzed to fill in the gaps in data after 1981 by trying to match known data for the 1974 to 1981 period.

18

Annual Energy Consumption Analysis Report for Richland Middle School  

SciTech Connect (OSTI)

Richland Middle School is a single story, 90,000 square feet new school located in Richland, WA. The design team proposed four HVAC system options to serve the building. The proposed HVAC systems are listed as following: (1) 4-pipe fan coil units served by electrical chiller and gas-fired boilers, (2) Ground-source closed water loop heat pumps with water loop heat pumps with boiler and cooling tower, and (3) VAV system served by electrical chiller and gas-fired boiler. This analysis estimates the annual energy consumptions and costs of each system option, in order to provide the design team with a reasonable basis for determining which system is most life-cycle cost effective. eQuest (version 3.37), a computer-based energy simulation program that uses the DOE-2 simulation engine, was used to estimate the annual energy costs.

Liu, Bing

2003-12-18T23:59:59.000Z

19

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)

20

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...

Note: This page contains sample records for the topic "annual 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

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

22

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

23

EIA - Annual Energy Outlook 2008 (Early Release)-Electricity Generation  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation Electricity Generation Annual Energy Outlook 2008 (Early Release) Electricity Generation U.S. electricity consumption—including both purchases from electric power producers and on-site generation—increases steadily in the AEO2008 reference case, at an average rate of 1.3 percent per year. In comparison, electricity consumption grew by annual rates of 4.2 percent, 2.6 percent, and 2.3 percent in the 1970s, 1980s, and 1990s, respectively. The growth rate in the AEO2008 projection is lower than in the AEO2007 reference case (1.5 percent per year), and it leads to lower projections of electricity generation. Figure 4. Electricity generation by fuel, 1980-2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800.

24

Electric Power Annual 2011  

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

net internal demand, capacity resources, and capacity margins by North American Electric Reliability Corporation Region" "1999 through 2011 actual, 2012-2016 projected"...

25

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

26

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

27

Monthly/Annual Energy Review - electricity section  

Reports and Publications (EIA)

Monthly and latest annual statistics on electricity generation, capacity, end-use, fuel use and stocks, and retail price.

2015-01-01T23:59:59.000Z

28

Electric Power Annual 2011  

Gasoline and Diesel Fuel Update (EIA)

B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region, 2001-2011 Actual, 2012-2016 Projected megawatts and percent Interconnection NERC Regional Assesment Area 2001/ 2002 2002/ 2003 2003/ 2004 2004/ 2005 2005/ 2006 2006/ 2007 2007/ 2008 2008/ 2009 2009/ 2010 2010/ 2011 2011/ 2012 2012/ 2013E 2013/ 2014E 2014/ 2015E 2015/ 2016E 2016/ 2017E FRCC 39,699 42,001 36,229 41,449 42,493 45,993 46,093 45,042 51,703 45,954 39,924 43,558 43,049 44,228 44,790 45,297 NPCC 42,551 45,980 47,850 47,859 46,328 48,394 46,185 47,151 44,864 44,172 43,806 46,224 46,312 46,284 46,246 46,246 Balance of Eastern Region 341,158 360,748 357,026 371,011 375,365 385,887 383,779 384,495 399,204 389,351 385,428 384,172 386,823 394,645 398,806 403,949 ECAR 82,831 84,844 86,332

29

Electric Power Annual 2011  

Gasoline and Diesel Fuel Update (EIA)

2. Noncoincident peak load, by North American Electric Reliability Corporation Assessment Area, 2. Noncoincident peak load, by North American Electric Reliability Corporation Assessment Area, 1990-2011 actual, 2012-2016 projected megawatts Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012E 2013E 2014E 2015E 2016E FRCC 27,266 28,818 30,601 32,823 32,904 34,524 35,444 35,375 38,730 37,493 37,194 39,062 40,696 40,475 42,383 46,396 45,751 46,676 44,836 46,550 45,722 44,968 45,613 46,270 46,857 47,758 48,594 NPCC 44,116 46,594 43,658 46,706 47,581 47,705 45,094 49,269 49,566 52,855 50,057 55,949 56,012 55,018 52,549 58,960 63,241

30

Electric Power Annual 2011  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Net Energy for load, actual and projected by North American Electric Reliability Corporation Assessment Area, Table 1. Net Energy for load, actual and projected by North American Electric Reliability Corporation Assessment Area, 1990-2011 actual, 2012-2016 projected thousands of megawatthours Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012E 2013E 2014E 2015E 2016E FRCC 142,502 146,903 147,464 153,468 159,861 169,021 173,377 175,557 188,384 188,598 196,561 200,134 211,116 219,021 220,335 226,544 230,115 232,405 226,874 225,966 233,034 224,064 224,337 227,095 230,481 235,490 239,191

31

Electric Power Annual 2011  

Gasoline and Diesel Fuel Update (EIA)

Capacity Capacity Conductor Characteristics Data Year Country NERC Region NERC Sub- region Type Operating (kV) Design (kV) Rating (MVa) Month Year From Terminal To Terminal Length (Miles) Type Pole Type Pole Material Size (MCM) Material Bundling Arrange- ment Present Ultimate Company Code Company Name Organizational Type Ownership (Percent) Project Name Level of Certainty Primary Driver 1 Primary Driver 2 2011 US TRE ERCOT AC 300-399 5 2018 DeCordova Benbrook 27 OH 44372 Delivery 100 00TPIT0004 Conceptual Reliability 2011 US TRE ERCOT AC 300-399 5 2018 Loma Alta Substation Rio Hondo Substation 35 OH 2409 BPUB 100 00TPITno07 Conceptual Reliability 2011 US TRE ERCOT AC 121-150 6 2014 Highway 32 Wimberley 4 OH 14626 PEC 100 05TPIT0065 Planned Reliability 2011 US TRE ERCOT AC 121-150 5 2018 Ennis Switch Ennis 6.32 OH 44372 Oncor Electric Delivery 100

32

Electric Power Annual 2011  

Gasoline and Diesel Fuel Update (EIA)

A. Summer net internal demand, capacity resources, and capacity margins by North American Electric Reliability Corporation Region A. Summer net internal demand, capacity resources, and capacity margins by North American Electric Reliability Corporation Region 1999 through 2011 actual, 2012-2016 projected megawatts and percent Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012E 2013E 2014E 2015E 2016E FRCC 27,162 27,773 28,898 29,435 30,537 31,649 31,868 32,874 34,562 34,832 35,666 38,932 37,951 40,387 42,243 45,950 45,345 46,434 44,660 46,263 45,522 44,798 42,430 43,041 43,618 44,459 45,242 NPCC 46,016 45,952 46,007 46,380 47,465 48,290 48,950 50,240 51,760 53,450 54,270 55,888 55,164 53,936 51,580 57,402 60,879 58,221 59,896 55,730 56,232 62,313 59,757 60,325 60,791 61,344 61,865 Balance of Eastern Region 332,679 337,297 341,869 349,984 357,284 365,319

33

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

34

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

35

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

36

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

37

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

38

Natural Gas Consumption (Annual Supply & Disposition)  

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

Monthly Annual 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 Federal Offshore Gulf of Mexico 115,528 102,389 103,976 108,490 101,217 93,985 1999-2012 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 Arizona 392,954 399,188 369,739 330,914 288,802 332,079 1997-2012 Arkansas 226,439 234,901 244,193 271,515 284,076 295,811 1997-2012 California 2,395,674 2,405,266 2,328,504 2,273,128 2,153,186 2,403,385 1997-2012

39

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.

40

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...

Note: This page contains sample records for the topic "annual 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

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

42

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

43

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

44

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

45

Electric power annual 1995. Volume I  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric power industry statistics at national, regional, and State levels. The objective of the publication is to provide industry decisionmakers, government policymakers, analysts, and the general public with data that may be used in understanding U.S. electricity markets. The Electric Power Annual is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); U.S. Department of Energy. In the private sector, the majority of the users of the Electric Power Annual are researchers and analysts and, ultimately, individuals with policy- and decisionmaking responsibilities in electric utility companies. Financial and investment institutions, economic development organizations interested in new power plant construction, special interest groups, lobbyists, electric power associations, and the news media will find data in the Electric Power Annual useful. In the public sector, users include analysts, researchers, statisticians, and other professionals with regulatory, policy, and program responsibilities for Federal, State, and local governments. The Congress and other legislative bodies may also be interested in general trends related to electricity at State and national levels. Much of the data in these reports can be used in analytic studies to evaluate new legislation. Public service commissions and other special government groups share an interest in State-level statistics. These groups can also compare the statistics for their States with those of other jurisdictions.

NONE

1996-07-01T23:59:59.000Z

46

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"

47

EIA - Annual Energy Outlook 2008 - Electricity Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand Electricity Demand Annual Energy Outlook 2008 with Projections to 2030 Electricity Demand Figure 60. Annual electricity sales by sector, 1980-2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 61. Electricity generation by fuel, 2006 and 2030 (billion kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. figure data Residential and Commercial Sectors Dominate Electricity Demand Growth Total electricity sales increase by 29 percent in the AEO2008 reference case, from 3,659 billion kilowatthours in 2006 to 4,705 billion in 2030, at an average rate of 1.1 percent per year. The relatively slow growth follows the historical trend, with the growth rate slowing in each succeeding

48

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

49

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

50

Annual Energy Outlook 2014: Electricity Working Group Meeting...  

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

Electricity Analysis Team Office of Electricity, Coal, Nuclear, and Renewables Analysis Office of Energy Analysis Annual Energy Outlook 2014: Electricity Working Group Meeting July...

51

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

52

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

53

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...

54

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)

55

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

56

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.

57

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

58

FY 2014 Annual Progress Report- Electric Drive Technologies Program  

Broader source: Energy.gov [DOE]

FY 2014 Annual Progress Report for the Electric Drive Technologies Program of the Vehicle Technologies Office, DOE/EE-1163

59

Energy consumption and expenditure projections by income quintile on the basis of the Annual Energy Outlook 1997 forecast  

SciTech Connect (OSTI)

This report presents an analysis of the relative impacts of the base-case scenario used in the Annual Energy Outlook 1997, published by the US Department of Energy, Energy Information Administration, on income quintile groups. Projected energy consumption and expenditures, and projected energy expenditures as a share of income, for the period 1993 to 2015 are reported. Projected consumption of electricity, natural gas, distillate fuel, and liquefied petroleum gas over this period is also reported for each income group. 33 figs., 11 tabs.

Poyer, D.A.; Allison, T.

1998-03-01T23:59:59.000Z

60

Annual Electric Utility Data - EIA-906/920/923 Data File  

Gasoline and Diesel Fuel Update (EIA)

923 detailed data with previous form data (EIA-906/920) 923 detailed data with previous form data (EIA-906/920) The survey Form EIA-923 collects detailed electric power data -- monthly and annually -- on electricity generation, fuel consumption, fossil fuel stocks, and receipts at the power plant and prime mover level. Specific survey information provided: Schedule 2 - fuel receipts and costs Schedules 3A & 5A - generator data including generation, fuel consumption and stocks Schedule 4 - fossil fuel stocks Schedules 6 & 7 - non-utility source and disposition of electricity Schedules 8A-F - environmental data Monthly data (M) - over 1,900 plants from the monthly survey Annual final data - approximately 1,900 monthly plants + 4,100 plants from the annual survey

Note: This page contains sample records for the topic "annual 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

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

62

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

63

Model for electric energy consumption in eastern Saudi Arabia  

SciTech Connect (OSTI)

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

64

MONTHLY UPDATE TO ANNUAL ELECTRIC GENERATOR REPORT  

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

REPORT REPORT INSTRUCTIONS|Year: 2013 No. 1905-0129 Approval Expires: 12/31/2015 Burden: 0.3 Hours| |PURPOSE|Form EIA-860M collects data on the status of: Proposed new generators scheduled to begin commercial operation within the subsequent 12 months; Existing generators scheduled to retire from service within the subsequent 12 months; and Existing generators that have proposed modifications that are scheduled for completion within one month. The data collected on this form appear in the EIA publication Electric Power Monthly. They are also used to monitor the current status and trends of the electric power industry and to evaluate the future of the industry.| |REQUIRED RESPONDENTS|Respondents to the Form EIA-860M who are required to complete this form are all Form EIA-860, ANNUAL ELECTRIC GENERATOR REPORT,

65

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

66

The electricity consumption impacts of commercial energy management systems  

SciTech Connect (OSTI)

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

67

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

68

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

69

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...

70

Annual Energy Outlook with Projections to 2025 - Market Trends- Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Demand and Supply Electricity Demand and Supply Annual Energy Outlook 2005 Market Trends - Electricity Demand and Supply Continued Growth in Electricity Use Is Expected in All Sectors Figure 66. Annual electricity sales by sector, 1970-2025 (billion kilowatthours). Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure data Total electricity sales are projected to increase at an average annual rate of 1.9 percent in the AEO2005 reference case, from 3,481 billion kilowatthours in 2003 to 5,220 billion kilowatthours in 2025 (Figure 66). From 2003 to 2025, annual growth in electricity sales is projected to average 1.6 percent in the residential sector, 2.5 percent in the commercial sector, and 1.3 percent in the industrial sector.

71

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) ....................

72

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.

73

EIA - Annual Energy Outlook 2008 (Early Release)-Energy-Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption Annual Energy Outlook 2008 (Early Release) Energy Consumption Total primary energy consumption in the AEO2008 reference case increases at an average rate of 0.9 percent per year, from 100.0 quadrillion Btu in 2006 to 123.8 quadrillion Btu in 2030—7.4 quadrillion Btu less than in the AEO2007 reference case. In 2030, the levels of consumption projected for liquid fuels, natural gas, and coal are all lower in the AEO2008 reference case than in the AEO2007 reference case. Among the most important factors resulting in lower total energy demand in the AEO2008 reference case are lower economic growth, higher energy prices, greater use of more efficient appliances, and slower growth in energy-intensive industries. Figure 2. Delivered energy consumption by sector, 1980-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800.

74

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

75

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

76

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

77

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

78

The Building Energy Report Card is used to compare the actual annual energy consumption of buildings to a  

E-Print Network [OSTI]

The Building Energy Report Card is used to compare the actual annual energy consumption Thermal Unit (Btu). For convenience, this annual energy consumption is expressed as thousands of Btus (i of buildings to a State of Minnesota "target." This target represents the amount of energy that would

Ciocan-Fontanine, Ionut

79

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

80

Superconductivity for Electric Systems: 2008 Annual Peer Review Final  

Broader source: Energy.gov (indexed) [DOE]

for Electric Systems: 2008 Annual Peer Review for Electric Systems: 2008 Annual Peer Review Final Report Superconductivity for Electric Systems: 2008 Annual Peer Review Final Report The Office of Electricity Delivery and Energy Reliability's High Temperature Superconductivity (HTS) for Electric Systems Program's specific mission is to work in partnership with industry to develop HTS wire and perform other research and development activities leading to the commercialization of HTS-based electric power applications by U.S. companies. This technology contributes to several key performance improvements of the grid. It enhances reliability by increasing capacity, which relieves congestion and helps prevent outages. Efficiency is improved as a result of the reduction of loss during operation which both conserves

Note: This page contains sample records for the topic "annual 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

Annual Energy Outlook with Projections to 2025-Market Trends - Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity Index (click to jump links) Electricity Sales Electricity Generating Capacity Electricity Fuel Costs and Prices Nuclear Power Electricity from Renewable Sources Electricity Alternative Cases Electricity Sales Electricity Use Is Expected To Grow More Slowly Than GDP As generators and combined heat and power plants adjust to the evolving structure of the electricity market, they face slower growth in demand than in the past. Historically, demand for electricity has been related to economic growth; that positive relationship is expected to continue, but the ratio is uncertain. Figure 67. Population gross domestic product, and electricity sales, 1965-2025 (5-year moving average annual percent growth). Having problems, call our National Energy Information Center at 202-586-8800 for help.

82

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

83

Annual Energy Outlook 2006 with Projections to 2030 - Electricity  

Gasoline and Diesel Fuel Update (EIA)

Oil and Natural Gas Oil and Natural Gas Annual Energy Outlook 2006 with Projections to 2030 Increases in Natural Gas Use Are Moderated by High Prices In the AEO2006 reference case, total natural gas consumption increases from 22.4 trillion cubic feet in 2004 to 26.9 trillion cubic feet in 2030. Most of the increase is seen before 2017, when total U.S. natural gas consumption reaches just under 26.5 trillion cubic feet. After 2017, high natural gas prices limit consumption to about 27 trillion cubic feet through 2030. Consequently, the natural gas share of total energy consumption drops from 23 percent in 2004 to 21 percent in 2030. Figure 71. Natural gas consumption by sector, 1990-2030 (trillion cubic feet). Having problems, call our National Energy Information Center at 202-586-8800 for help.

84

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

85

Expected annual electricity bill savings for various PPA price options |  

Open Energy Info (EERE)

Expected annual electricity bill savings for various PPA price options Expected annual electricity bill savings for various PPA price options Jump to: navigation, search Impact of Utility Rates on PV Economics Bill savings tables (main section): When evaluating PV systems under a PPA, it is important to look at the net effect on the building's annual electricity expense. If the solar value is greater than the PPA price, then the building will realize a net savings on annual energy expenses. If the solar value is less than the PPA price, then the building will realize a net loss. It is useful to understand how annual electricity expenses will be impacted at various PPA price levels. Bill Savings at PPA price of $0.04/kWhr Bill Savings at PPA price of $0.08/kWhr Bill Savings at PPA price of $0.12/kWhr Retrieved from "http://en.openei.org/w/index.php?title=Expected_annual_electricity_bill_savings_for_various_PPA_price_options&oldid=515464"

86

Electric Power Annual 2012 - Energy Information Administration  

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

electricity imports from and electricity exports to Canada and Mexico XLS Table 2.14. Green pricing customers by end use sector XLS Net Generation Table 3.1.A. Net generation...

87

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

88

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

89

EIA - Assumptions to the Annual Energy Outlook 2008 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2008 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2008, DOE/EIA-M068(2008). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

90

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2004, DOE/EIA- M068(2004). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

91

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

92

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

93

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

94

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

95

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

96

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

97

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

98

Form EIA-860 Annual Electric Generator Report | OpenEI  

Open Energy Info (EERE)

761 761 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142263761 Varnish cache server Form EIA-860 Annual Electric Generator Report Dataset Summary Description The Form EIA-860 is a generator-level survey that collects specific information about existing and planned generators and associated environmental equipment at electric power plants with 1 megawatt or greater of combined nameplate capacity. The survey data is summarized in reports such as the Electric Power Annual. The survey data is also available for download here. The data are compressed into a self-extracting (.exe) zip folder containing .XLS data files and record layouts. The current file structure (starting with 2009 data) consists

99

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.

100

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

Note: This page contains sample records for the topic "annual 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

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

102

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

103

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

104

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

105

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

SciTech Connect (OSTI)

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

106

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

107

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

SciTech Connect (OSTI)

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

108

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

109

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.

110

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

111

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

112

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

113

Annual Electric Generator data - EIA-860 data file  

Gasoline and Diesel Fuel Update (EIA)

60 detailed data with previous form data (EIA-860A/860B) 60 detailed data with previous form data (EIA-860A/860B) Release Date: October 10, 2013 for Final 2012 data Next Release Date: September 2014 Re-Release 2012 data: December 4, 2013 (CORRECTION) The survey Form EIA-860 collects generator-level specific information about existing and planned generators and associated environmental equipment at electric power plants with 1 megawatt or greater of combined nameplate capacity. Summary level data can be found in the Electric Power Annual. Detailed data are compressed (zip) and contain the following files: LayoutYyy – Provides a directory of all (published) data elements collected on the Form EIA-860 together with the related description, specific file location(s), and, where appropriate, an explanation of codes.

114

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

115

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

116

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

117

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:

118

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

119

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

120

International Energy Annual, 1992  

SciTech Connect (OSTI)

This report is prepared annually and presents the latest information and trends on world energy production and consumption for petroleum, natural gas, coal, and electricity. Trade and reserves are shown for petroleum, natural gas, and coal. Prices are included for selected petroleum products. Production and consumption data are reported in standard units as well as British thermal units (Btu) and joules.

Not Available

1994-01-14T23:59:59.000Z

Note: This page contains sample records for the topic "annual 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

Annual Energy Review, 2008  

SciTech Connect (OSTI)

The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international energy; financial and environment indicators; and data unit conversions.

None

2009-06-01T23:59:59.000Z

122

Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006 Understanding and Pushing the Limits  

E-Print Network [OSTI]

Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006 Understanding and Pushing pinning " #12;Superconductivity for Electric Systems Annual Peer Review Arlington, VA July 25-27, 2006

123

Form EIA-861, "Annual Electric Power Industry Report." | OpenEI  

Open Energy Info (EERE)

1, "Annual Electric Power Industry Report." 1, "Annual Electric Power Industry Report." Dataset Summary Description This is an electric utility data file that includes such information as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity. The data source is the survey Form EIA-861, "Annual Electric Power Industry Report." Data for all years are final. The file F861yr09.exe is a file of data collected on the Form EIA-861, Annual Electric Power Industry Report, for the reporting period, calendar year 2009. The zipped .exe file contains 11 .xls files and one Word file, and a .pdf of the Form EIA-861. The data file structure detailed here also applies to data files for prior

124

Delivered Energy Consumption Projections by Industry in the Annual Energy Outlook 2002  

Reports and Publications (EIA)

This paper presents delivered energy consumption and intensity projections for the industries included in the industrial sector of the National Energy Modeling System.

2002-01-01T23:59:59.000Z

125

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

126

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

127

FY2008 Annual Progress Report for the Advanced Power Electronics and Electric Machinery Program  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AnnuAl Progress rePort for AnnuAl Progress rePort for the AdvAnced Power electronics And electric MAchinery technology AreA annual progress report 2008 V e h i c l e T e c h n o l o g i e s P r o g r a m U.S. Department of Energy FreedomCAR and Vehicle Technologies, EE-2G 1000 Independence Avenue, S.W.

128

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

129

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

130

Renewable Electricity in the Annual Energy Outlook 2014  

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

2014 For Renewable Electricity Working Group AEO2014 Second Meeting September 26, 2013 Christopher Namovicz and Gwen Bredehoeft, Renewable Electricity Analysis Team Agenda...

131

Renewable Electricity in the Annual Energy Outlook (AEO)  

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

For Renewable Electricity Working Group July 24, 2014 Christopher Namovicz and Gwen Bredehoeft Renewable Electricity Analysis Team AEO2014 results and status updates for the...

132

Assumptions to the Annual Energy Outlook 2002 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2002, DOE/EIA- M068(2002) January 2002. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

133

Assumptions to the Annual Energy Outlook 2001 - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2001, DOE/EIA- M068(2001) January 2001. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are

134

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

135

Annual Logging Symposium, June 22-26, 2013 PORE-SCALE MODELING OF ELECTRICAL RESISTIVITY  

E-Print Network [OSTI]

. Electrical resistivity is calculated with a finite- difference solution of Kirchhoff's voltage law appliedSPWLA 54th Annual Logging Symposium, June 22-26, 2013 1 PORE-SCALE MODELING OF ELECTRICAL RESISTIVITY AND PERMEABILITY IN FIB-SEM IMAGES OF HYDROCARBON-BEARING SHALE Vahid Shabro, Shaina Kelly, Carlos

Torres-Verdín, Carlos

136

2012 Annual Planning Summary for Electricity Delivery and Energy Reliability  

Broader source: Energy.gov [DOE]

The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2012 and 2013 within Electricity Delivery and Energy Reliability.

137

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

138

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

139

Annual Steam-Electric Plant Operation and Design Data (EIA-767 data file)  

Gasoline and Diesel Fuel Update (EIA)

Electricity data files > Form EIA-767 Electricity data files > Form EIA-767 Form EIA-767 historical data files Data Released: November 02, 2006 Next Release: None(discontinued) Annual steam-electric plant operation and design data Historical data files contain annual data from organic-fueled or combustible renewable steam-electric plants with a generator nameplate rating of 10 or more megawatts. The data are derived from the Form EIA-767 "Steam-Electric Plant Operation and Design Report." The files contains data on plant operations and equipment design (including boilers, generators, cooling systems, flue gas desulfurizations, flue gas particulate collectors, and stacks). Beginning in the data year 2001, nuclear plant data were no longer collected by the survey.

140

Annual Electric Utility Data - Form EIA-906 Database  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Detailed data files > Historic Form EIA-906 Historic Form EIA-906 Detailed Data with previous form data (EIA-759) Historic electric utility data files include information on net...

Note: This page contains sample records for the topic "annual 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

Annual Energy Outlook 2014 Electricity Working Group Meeting  

Gasoline and Diesel Fuel Update (EIA)

Analysis Team Office of Electricity, Coal, Nuclear, and Renewables Analysis Office of Energy Analysis WORKING GROUP PRESENTATION FOR DISCUSSION PURPOSES DO NOT QUOTE OR CITE AS...

142

Annual Public Electric Utility data - EIA-412 data file  

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

and Power Exchanges 9 Electric Generating Plant Statistics 10 Existing Transmission Lines 11 Transmission Lines Added Within Last Year 2003* XLS XLS XLS XLS XLS** XLS XLS**...

143

EIA-Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2007 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2007, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

144

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

145

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

146

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

147

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

148

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

149

Advanced Power Electronics and Electric Motors Annual Report -- 2013  

SciTech Connect (OSTI)

This report describes the research into advanced liquid cooling, integrated power module cooling, high temperature air cooled power electronics, two-phase cooling for power electronics, and electric motor thermal management by NREL's Power Electronics group in FY13.

Narumanchi, S.; Bennion, K.; DeVoto, D.; Moreno, G.; Rugh, J.; Waye, S.

2015-01-01T23:59:59.000Z

150

TheUniversityofNewMexicoElectrical & Computer Engineering Department 1 www.eece.unm.eduEECE Annual Report 1999  

E-Print Network [OSTI]

is the $1.7 million grant that the School of Engineer- ing recently received from the Ford FoundationNEWS TheUniversityofNewMexicoElectrical & Computer Engineering Department 1 www.eece.unm.eduEECE Annual Report 1999 ELECTRICAL & COMPUTER ENGINEERING Department 1999 Annual Report The University of New

New Mexico, University of

151

Superconductivity for Electric Systems Annual Peer Review Washington, DC July 23-25, 2003 OAK RIDGE NATIONAL LABORATORY  

E-Print Network [OSTI]

(Marty) 2G wire manufacturing at AMSC 2G wire characteristics Prototype 2000 Amp 2G cable performanceSuperconductivity for Electric Systems Annual Peer Review Washington, DC ­ July 23-25, 2003 OAK-in ORNL-AMSC CRADA: Development of 2G YBCO-RABiTS Wires #12;Superconductivity for Electric Systems Annual

152

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

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

153

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

154

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% |

155

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

156

Research for electric energy systems -- an annual report  

SciTech Connect (OSTI)

This report documents the technical progress in the two investigations which make up the project {open_quotes}Support of Research Projects for Electrical Energy Systems,{close_quotes} Department of Energy Task Order Number 137, funded by the US Department of Energy and performed by the Electricity Division of the National Institute of Standards and Technology (NIST). The first investigation is concerned with the measurement of magnetic fields in support of epidemiogical and in vitro studies of biological field effects. During 1992, the derivation of equations which predict differences between the average magnetic flux density using circular coil probes and the flux density at the center of the probe, assuming a dipole magnetic field, were completed. The information gained using these equations allows the determination of measurement uncertainty due to probe size when magnetic fields from many electrical appliances are characterized. Consultations with various state and federal organizations and the development of standards related to electric and magnetic field measurements continued. The second investigation is concerned with two different activities related to compressed-gas insulated high voltage systems: (1) the measurement of dissociative electron attachment cross sections and negative ion production in S{sub 2}F{sub 10}, S{sub 2}OF{sub 10}, and S{sub 2}O{sub 2}F{sub 10}, and (2) Monte-Carlo simulations of ac-generated partial-discharge pulses that can occur in SF{sub 6}-insulated power systems and can be sources of gas decomposition.

Anderson, W.E. [ed.

1993-10-01T23:59:59.000Z

157

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

158

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

159

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

160

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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

Note: This page contains sample records for the topic "annual 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

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

162

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

163

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

164

Electrically switched cesium ion exchange. FY 1996 annual report  

SciTech Connect (OSTI)

An electrochemical method for metal ion separations, called Electrically Switched Ion Exchange, is described. Direct oxidation and reduction of an electroactive film attached to an electrode surface is used to load and unload the film with alkali metal cations. The electroactive films under investigation are Ni hexacyanoferrates, which are deposited on the surface by applying an anodic potential to a Ni electrode in a solution containing the ferricyanide anion. Reported film preparation procedures were modified to produce films with improved capacity and stability. Electrochemical behavior of the derivatized electrodes were investigated using cyclic voltammetry and chronocoulometry. The films show selectivity for Cs in concentrated sodium solutions. Raman spectroscopy was used to monitor changes in oxidation state of the film and imaging experiments have demonstrated that the redox reactions are spatially homogenous across the film. Requirements for a bench scale unit were identified.

Lilga, M.A.; Orth, R.J.; Sukamto, J.P.H. [Pacific Northwest National Lab., Richland, WA (United States); Schwartz, D.T.; Haight, S.M. [Washington Univ., Seattle, WA (United States); Genders, D. [Electrosynthesis Co., Inc., Cheektowaga, NY (United States)

1996-12-01T23:59:59.000Z

165

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

166

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

SciTech Connect (OSTI)

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

167

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

168

2005 Annual Progress Report for the Advanced Power Electronics and Electric Machinery Program  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Technologies, EE-2G Technologies, EE-2G 1000 Independence Avenue, S.W. Washington, D.C. 20585-0121 FY 2005 Annual Progress Report for the Advanced Power Electronics and Electric Machinery Program Energy Efficiency and Renewable Energy FreedomCAR and Vehicle Technologies Vehicle Systems Team Susan A. Rogers, Technology Development Manager November 2005 ii Contents Acronyms and Abbreviations ................................................................................................................. iv Executive Summary ................................................................................................................................ 1 1. Technical Support............................................................................................................................. 3

169

Form EIA-861S ANNUAL ELECTRIC POWER INDUSTRY REPORT (SHORT FORM)  

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

INDUSTRY REPORT (SHORT FORM) INSTRUCTIONS OMB No. 1905-0129 Approval Expires: 12/31/2016 Burden: 2.01 Hours Page 1 Draft for Discussion only PURPOSE Form EIA-861S collects information on the status of selected electric power industry participants involved in the sale, and distribution of electric energy in the United States. The data collected on this form are used to monitor the current status and trends of the electric power industry and to evaluate the future of the industry. REQUIRED RESPONDENTS The Form EIA-861S is to be completed by all electric utilities with annual retail sales in the prior year of 100,000 megawatt-hours or less, with the following exceptions: 1. A respondent has retail sales of unbundled service; 2. A full set of data is required from the respondent to ensure that statistical estimates

170

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

171

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

172

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

173

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

174

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

175

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)

176

FY2007 Annual Progress Report for the Advanced Power Electronics and Electric Machinery Program  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Power electronics And Power electronics And electric MAchinery ProgrAM v ehicle t echnologies Progr AM Less dependence on foreign oil today, and transition to a petroleum-free, emissions-free vehicle tomorrow. 2 0 0 7 a n n u a l p r o g r e s s r e p o r t U.S. Department of Energy Office of Vehicle Technologies, EE-2G 1000 Independence Avenue, S.W. Washington, D.C. 20585-0121 FY 2007 Annual Progress Report for the Advanced Power Electronics and Electric Machinery Program Submitted to: Energy Efficiency and Renewable Energy Office of Vehicle Technologies Vehicle Systems Team Susan A. Rogers, Technology Development Manager December 2007 Power Electronics and Electric Machines FY 2007 Progress Report Contents Acronyms and Abbreviations ................................................................................................................ v

177

FORM EIA-860M MONTHLY UPDATE TO ANNUAL ELECTRIC GENERATOR REPORT  

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

PURPOSE Form EIA-860M collects data on the status of: a) Proposed new generators scheduled to begin commercial operation within the subsequent 12 months; b) Existing generators scheduled to retire from service within the subsequent 12 months; and c) Existing generators that have proposed modifications that are scheduled for completion within one month. The data collected on this form appear in the EIA publication Electric Power Monthly. They are also used to monitor the current status and trends of the electric power industry and to evaluate the future of the industry. REQUIRED RESPONDENTS Respondents to the Form EIA-860M who are required to complete this form are all Form EIA-860, ANNUAL ELECTRIC GENERATOR REPORT, respondents who have indicated in a previous filing to

178

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

179

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

Broader source: Energy.gov [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...

180

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

Note: This page contains sample records for the topic "annual 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

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

182

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

183

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

184

Electric and Hybrid Vehicles Program. Sixteenth annual report to Congress for fiscal year 1992  

SciTech Connect (OSTI)

This report describes the progress achieved in developing electric and hybrid vehicle technologies, beginning with highlights of recent accomplishments in FY 1992. Detailed descriptions are provided of program activities during FY 1992 in the areas of battery, fuel cell, and propulsion system development, and testing and evaluation of new technology in fleet site operations and in laboratories. This Annual Report also contains a status report on incentives and use of foreign components, as well as a list of publications resulting from the DOE program.

Not Available

1993-08-01T23:59:59.000Z

185

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

186

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

187

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

188

OFFICE OF ELECTRICITY DELIVERY AND ENERGY RELIABILITY NEPA Annual Planning Summary  

Broader source: Energy.gov (indexed) [DOE]

ENERGY RELIABILITY NEPA Annual Planning Summary 2012 Environmental Impact Statements Energia Sierra Juarez (DOE/EIS-0414)- Energia Sierra Juarez (ESJ) (formerly Baja Wind) applied to OE for a Presidential permit to construct a 1250 MW electric transmission line across the U.S.-Mexico border. The proposed transmission line would originate inside Mexico at the proposed La Rumorosa Wind Generation Facility. The line would continue north approximately two miles to the U. S.-Mexico border, and one additional mile inside the U.S. to a new substation to be constructed on the existing Southwest Powerlink. The proposed transmission line would be used to transmit renewable energy into the California electricity market. The County of San Diego is a cooperating agency. DEIS NOA (75 FR 57018) issued in September 2010, public

189

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.

190

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

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

191

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...

192

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

193

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

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

194

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...

195

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (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...

196

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

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

197

Estimating Monthly 1989-2000 Data for Generation, Consumption, and Stocks  

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

Monthly Energy Review, Section 7: Monthly Energy Review, Section 7: Estimating Monthly 1989-2000 Data for Generation, Consumption, and Stocks For 1989-2000, monthly and annual data were collected for electric utilities; however, during this time period, only annual data were collected for independent power producers, commercial plants, and industrial plants. To obtain 1989-2000 monthly estimates for the Electric Power, Commercial, and Industrial Sectors, electric utility patterns were used for each energy source (MonthX = MonthUtility * AnnualX / AnnualUtility). For example, to estimate "Electricity Net Generation From Coal: Electric Power Sector" in Table 7.2b, the monthly pattern for "Electricity Net Generation From Coal: Electric Utilities" was used. To estimate the

198

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

199

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

200

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

Note: This page contains sample records for the topic "annual 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

Association of American Geographers (AAG) Annual Meeting, Los Angeles, April 9-13, 2013 When metropolitan consumption reshuffles the economic  

E-Print Network [OSTI]

the metropolitan process certainly helps suburban economics. The economic reshaping of intra metropolitan consumption reshuffles the economic opportunities in the Paris Metropolitan Area Jean are relatively foot-free. The process of metropolisation changes the way territories deal with them and take part

Boyer, Edmond

202

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)

203

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

204

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

205

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%

206

A State Regulatory Perspective; New Building, Old Motors, and Marginal Electricity Generation  

E-Print Network [OSTI]

Electricity consumption in Texas is expected to grow at 3.2 percent annually for the next ten years. Utility demand management activities, if effective, may reduce that expected rate of growth. Residential cooling, commercial lighting and cooling...

Treadway, N.

1987-01-01T23:59:59.000Z

207

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

208

Annual Coal Report - Energy Information Administration  

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

Annual Coal Report Annual Coal Report Release Date: December 12, 2013 | Next Release Date: November 2014 | full report Previous Annual Coal / Coal Industry Annual Reports historical data (PDF): 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 before 2001 Industry Annual 2000 1999 1998 1997 1996 1995 1994 Go The Annual Coal Report (ACR) provides annual data on U.S. coal production, number of mines, productive capacity, recoverable reserves, employment, productivity, consumption, stocks, and prices. All data for 2012 and prior years are final. Highlights for 2012: U.S. coal production decreased 7.2 percent from 2011, driven by lower electric power sector demand, to roughly 1.02 billion short tons. Productive capacity of U.S. coal mines decreased 3.5 percent to 1.28

209

Annual Energy Review 1997  

Gasoline and Diesel Fuel Update (EIA)

7 7 Exported Energy Coal Other NGPL Other Adjustments Total Consumption Total Supply Nucle ar Rene wable s Crude Oil and Products Fossil Fuels Renewables Domestic Production Industrial Use Transportation Use Residential and Commercial Use Coal Natural Gas Petroleum Nuclear Imported Energy Fossil Fuels Coal Crude Oil Natural Gas Energy Information Administration July 1998 DOE/EIA-0384(97) Annual Energy Review 1997 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 1997. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en-

210

Tampa Electric Company Polk Power Station Unit Number 1. Annual report, January--December, 1993  

SciTech Connect (OSTI)

This report satisfies the requirements of Cooperative Agreement DE-FC21-91MC27363, novated as of March 5, 1992, to provide an annual update report on the year`s activities associated with Tampa Electric Company`s 250 MW IGCC demonstration project for the year 1993. Tampa Electric Company`s Polk Power Station Unit 1 (PPS-1) Integrated Gasification Combined Cycle (IGCC) demonstration project will use a Texaco pressurized, oxygen-blown, entrained-flow coal gasifier to convert approximately 2,000 tons per day of coal (dry basis) coupled with a combined cycle power block to produce a net 250 MW electrical power output. Approximately 50% of the raw, hot syngas is cooled to 900 F and passed through a moving bed of zinc-based sorbent which removes sulfur containing compounds from the syngas. The remaining portion of the raw, hot syngas is cooled to 400 F for conventional acid gas removal. Sulfur-bearing compounds from both cleanup systems are sent to a conventional sulfuric acid plant to produce a marketable, high-purity sulfuric acid by-product. The cleaned medium-BTU syngas from these processes is routed to the combined cycle power generation system where it is mixed with air and burned in the combustion section of the combustion turbine. Heat is extracted from the expanded exhaust gases in a heat recovery steam generator (HRSG) to produce steam at three pressure levels for use throughout the integrated process. A highly modular, microprocessor-based distributed control system (DCS) is being developed to provide continuous and sequential control for most of the equipment on PPS-1.

Not Available

1994-08-01T23:59:59.000Z

211

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

212

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

213

TY JOUR T1 Life Cycle Assessment of Electric Power Systems JF Annual Review of Environment and Resources  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Life Cycle Assessment of Electric Power Systems Life Cycle Assessment of Electric Power Systems JF Annual Review of Environment and Resources A1 Eric R Masanet A1 Yuan Chang A1 Anand R Gopal A1 Peter H Larsen A1 William R Morrow A1 Roger Sathre A1 Arman Shehabi A1 Pei Zhai KW electricity KW energy policy KW environmental analysis KW life cycle impact KW life cycle inventory AB p The application of life cycle assessment LCA to electric power EP technologies is a vibrant research pursuit that is likely to continue as the world seeks ways to meet growing electricity demand with reduced environmental and human health impacts While LCA is an evolving methodology with a number of barriers and challenges to its effective use LCA studies to date have clearly improved our understanding of the life cycle energy

214

Energy consumption and expenditure projections by population group on the basis on the annual energy outlook 2000 forecast.  

SciTech Connect (OSTI)

The changes in the patterns of energy use and expenditures by population group are analyzed by using the 1993 and 1997 Residential Energy Consumption Surveys. Historically, these patterns have differed among non-Hispanic White households, non-Hispanic Black households, and Hispanic households. Patterns of energy use and expenditures are influenced by geographic and metropolitan location, the composition of housing stock, economic and demographic status, and the composition of energy use by end-use category. As a consequence, as energy-related factors change across groups, patterns of energy use and expenditures also change. Over time, with changes in the composition of these factors by population group and their variable influences on energy use, the impact on energy use and expenditures has varied across these population groups.

Poyer, D. A.; Decision and Information Sciences

2001-05-31T23:59:59.000Z

215

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

216

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)

217

ORNL Superconducting Technology Program for electric power systems: Annual report for FY 1997  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (ORNL) Superconducting Technology Program is conducted as part of a national effort by the US Department of Energy`s Office of Energy Efficiency and Renewable Energy to develop the science and technology base needed by US industry for commercial development of electric power applications of high temperature superconductivity. The two major elements of this program are wire development and applications development. This document describes the major research and developments activities for this program together with related accomplishments. The technical progress reported was summarized from recent open literature publications, presentations, and information prepared for the FY 1997 Annual Program Review held July 21--23, 1997. This ORNL program is highly leveraged by the staff and other resources of US industry and universities. In fact, nearly three-fourths of the ORNL effort is devoted to cooperative projects with private companies. Interlaboratory teams are also in place on a number of industry-driven projects. Patent disclosures, working group meetings, staff exchanges, and joint publications and presentations ensure that there is technology transfer with US industry. Working together, the collaborative teams are making rapid progress in solving the scientific and technical issues necessary for the commercialization of long lengths of practical high temperature superconductor wire and wire-using systems.

Koncinski, W.S.; O`Hara, L.M. [eds.; Hawsey, R.A.; Murphy, A.W. [comps.

1998-03-01T23:59:59.000Z

218

ORNL Superconducting Technology Program for electric power systems. Annual report for FY 1995  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (ORNL) Superconducting Technology Program is conducted as part of a national effort by the U.S. Department of Energy`s Office of Energy Efficiency and Renewable Energy to develop the science and technology base needed by U.S. industry for commercial development of electric power applications of high-temperature superconductivity. The two major elements of this program are wire development and systems development. This document describes the major research and development activities for this program together with related accomplishments. The technical progress reported was summarized from information prepared for the FY 1995 Annual Program Review held August 1-2, 1995. This ORNL program is highly leveraged by the staff and other resources of U.S. industry and universities. In fact, nearly three-fourths of the ORNL effort is devoted to cooperative projects with private companies. Interlaboratory teams are also in place on a number of industry-driven projects. Patent disclosures, working group meetings, staff exchanges, and joint publications and presentations ensure that there is technology transfer with U.S. industry. Working together, the collaborative teams are making rapid progress in solving the scientific and technical issues necessary for the commercialization of long lengths of practical high-temperature superconductor wire and wire-using systems.

Hawsey, R.A. [comp.; Turner, J.W. [ed.

1996-05-01T23:59:59.000Z

219

ORNL Superconducting Technology Program for electric power systems. Annual report for FY 1996  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (ORNL) Superconducting Technology Program is conducted as part of a national effort by the US Department of Energy`s Office of Energy Efficiency and Renewable Energy to develop the science and technology base needed by US industry for commercial development of electric power applications of high temperature superconductivity. The two major elements of this program are wire development and applications development. This document describes the major research and development activities for this program together with related accomplishments. The technical progress reported was summarized from recent open literature publications, presentations, and information prepared for the FY 1996 Annual Program Review held July 31 and August 1, 1996. This ORNL program is highly leveraged by the staff and other resources of US industry and universities. In fact, nearly three-fourths of the ORNL effort is devoted to cooperative projects with private companies. Interlaboratory teams are also in place on a number of industry-driven projects. Patent disclosures, working group meetings, staff exchanges, and joint publications and presentations ensure that there is technology transfer with US industry. Working together, the collaborative teams are making rapid progress in solving the scientific and technical issues necessary for the commercialization of long lengths of practical high temperature superconductor wire and wire-using systems.

Koncinski, W.S. [ed.; Hawsey, R.A. [comp.

1997-05-01T23:59:59.000Z

220

ORNL Superconducting Technology Program for Electric Power Systems, Annual Report for FY 1998  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (ORNL) Superconducting Technology Program is conducted as part of a national effort by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy to develop the science and technology base needed by U.S. industry for commercial development of electric power applications of high temperature superconductivity. The two major elements of this program are wire development and applications development. This document describes the major research and development activities for this program together with related accomplishments. The technical progress reported was summarized from recent open literature publications, presentations, and information prepared for the FY 1998 Annual Program Review held July 20-22, 1998. Aspects of ORNL's work that were presented at the Applied Superconductivity Conference (September 1998) are included in this report, as well. This ORNL program is highly leveraged by the staff and other resources of U.S. industry and universities. In fact, nearly three-fourths of the ORNL effort is devoted to cooperative projects. Patent disclosures, working group meetings, staff exchanges, and joint publications and presentations ensure that there is technology transfer with U.S. industry. Working together, the collaborative teams are making rapid progress in solving the scientific and technical issues necessary for the commercialization of long lengths of practical high temperature superconductor wire and wire-using systems.

Hawsey, R.A.; Murphy, A.W.

1999-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "annual 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

ORNL superconducting technology program for electric power systems. Annual report for FY 1993  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (ORNL) Superconducting Technology Program is conducted as part of a national effort by the US Department of Energy`s Office of Energy Efficiency and Renewable Energy to develop the technology base needed by US industry for commercial development of electric power applications of high-temperature superconductivity. The two major elements of this program are conductor development and applications development. This document describes the major research and development activities for this program together with related accomplishments. The technical progress reported was summarized from information prepared for the FY 1993 Annual Program Review held July 28--29, 1993. This ORNL program is highly leveraged by the staff and other resources of US industry and universities. In fact, nearly three-fourths of the ORNL effort is devoted to industrial competitiveness projects with private companies. Interlaboratory teams are also in place on a number of industry-driven projects. Patent disclosures, working group meetings, staff exchanges, and joint publications and presentations ensure that there is technology transfer to US industry. Working together, the collaborative teams are making rapid progress in solving the scientific and technical issues necessary for the commercialization of long lengths of practical high-temperature superconductor wire and wire products.

Hawsey, R.A. [comp.

1994-04-01T23:59:59.000Z

222

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

E-Print Network [OSTI]

the total annual energy consumption. The behavior patternsin total residential energy consumption per home, even whenthe variability in energy consumption can vary by factors of

Kelsven, Phillip

2013-01-01T23:59:59.000Z

223

Hydraulic HEV Fuel Consumption Potential | Department of Energy  

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

Consumption Potential Hydraulic HEV Fuel Consumption Potential 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

224

Annual  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

19 19 th Annual Triple "E" Seminar Presented by U.S. Department of Energy National Energy Technology Laboratory and Spectroscopy Society of Pittsburgh Thursday, January 20, 2011 8:00 a.m. Registration & Breakfast 8:30 a.m. Opening Remarks/Welcome Michael Nowak, Senior Management & Technical Advisor National Energy Technology Laboratory 8:35 a.m. Overview of Energy Issues Michael Nowak, Senior Management & Technical Advisor National Energy Technology Laboratory 8:45 a.m. Introduction of Presenters McMahan Gray National Energy Technology Laboratory 8:50 a.m. Jane Konrad, Pgh Regional Center for Science Teachers "Green - What Does it Mean" 9:45 a.m. Break 10:00 a.m. John Varine, Spectroscopy Society of Pittsburgh

225

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

226

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

Gasoline and Diesel Fuel Update (EIA)

Relationship of CBECS Coverage to EIA Supply Surveys Relationship of CBECS Coverage to EIA Supply Surveys The primary purpose of the CBECS is to collect accurate statistics of energy consumption by individual buildings. EIA also collects data on total energy supply (sales). For the information on sales totals, a different reporting system is used for each fuel and the boundaries between the different sectors (e.g., residential, commercial, industrial) are drawn differently for each fuel. Background EIA sales data on the different fuels are compiled in individual fuel reports. Annual electricity sales data are currently collected on Form EIA-861, "Annual Electric Utility Report," which is sent to all electric utilities in the United States. Supply data for natural gas are collected on Form EIA-176, "Annual Report of Natural and Supplemental Gas

227

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

228

The food consumption of the world's seabirds  

Science Journals Connector (OSTI)

...May 2004 research-article The food consumption of the world's seabirds M. de L...provisional estimate of their annual food consumption. Knowing the body mass and energy density...equations to estimate daily and hence annual consumption of a seabird. Using this approach...

2004-01-01T23:59:59.000Z

229

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

230

Annual energy review 1994  

SciTech Connect (OSTI)

This 13th edition presents the Energy Information Administration`s historical energy statistics. For most series, statistics are given for every year from 1949 through 1994; thus, this report is well-suited to long-term trend analyses. It covers all major energy activities, including consumption, production, trade, stocks, and prices for all major energy commodities, including fossil fuels and electricity. Statistics on renewable energy sources are also included: this year, for the first time, usage of renewables by other consumers as well as by electric utilities is included. Also new is a two-part, comprehensive presentation of data on petroleum products supplied by sector for 1949 through 1994. Data from electric utilities and nonutilities are integrated as ``electric power industry`` data; nonutility power gross generation are presented for the first time. One section presents international statistics (for more detail see EIA`s International Energy Annual).

NONE

1995-07-01T23:59:59.000Z

231

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...

232

EIA - Annual Energy Outlook 2014 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation Electricity Generation Total electricity consumption in the AEO2014 Reference case, including both purchases from electric power producers and on-site generation, grows from 3,826 billion kWh in 2012 to 4,954 billion kWh in 2040, an average annual rate of 0.9% that is about the same as in the AEO2013 Reference case. While growth in electricity consumption is similar overall, growth in the industrial sector is much stronger than in AEO2013, while growth in the residential sector is weaker. The combination of slow growth in electricity demand, competitively priced natural gas, programs encouraging renewable fuel use, and the implementation of environmental rules dampens future coal use. The AEO2014 Reference case continues to assume implementation of the Clean Air

233

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

234

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

235

Annual Energy Outlook 2007 - Low Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

4-2030) 4-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Price Case Tables (2004-2030) Table Title Formats Summary Low Price Case Tables Low Price Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity Table 10. Electricity Trade Table 11. Petroleum Supply and Disposition Balance

236

Energy Information Administration (EIA) - Annual Energy Outlook 2007 (Early  

Gasoline and Diesel Fuel Update (EIA)

Year-by-Year Reference Case Tables (2004-2030) Year-by-Year Reference Case Tables (2004-2030) Annual Energy Outlook 2007 with Projections to 2030 Year-by-Year Reference Case Tables (2004-2030) Table Title Formats Summary Reference Case Tables Year-by-Year Reference Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity Table 10. Electricity Trade

237

2005 Annual Report Conference on Electrical Insulation and Dielectric Phenomena Parametric Modeling of Concentric Fringing Electric Field Sensors  

E-Print Network [OSTI]

of Concentric Fringing Electric Field Sensors X.B. Li, V.V. Inclan, G.I. Rowe, and A. V. Mamishev Sensors electric field (FEF) sensors are widely used for non-invasive measurement of material properties, such as porosity, viscosity, temperature, hardness, and degree of cure. FEF sensors have also been used to detect

Mamishev, Alexander

238

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

239

Dept of Electrical Engineering Annual Report on Patents, Papers and Projects  

E-Print Network [OSTI]

/series active filters," Electric Power Systems Research, Vol. 73, pp. 187-196, 2005. 3. S.P. Das and A Approach Using AC Transmission Congestion Distribution Factors", Electric Power System Research, Vol. 72 pp in a Competitive Electricity Market using Distribution Factors", Electric Power Components and Systems, Vol. 32

Jagannatham, Aditya K.

240

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

Note: This page contains sample records for the topic "annual 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

,"New York Natural Gas Total Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Total Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","12312014"...

242

,"California Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Consumption by End Use",11,"Annual",2013,"6301967" ,"Release...

243

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

244

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

245

ENERGY AND ENVIRONMENT DIVISION ANNUAL REPORT 1978  

E-Print Network [OSTI]

Gleick Recent Trends in California Natural Gas Consumptionof natural gas consumption (XBL 792-455) trends. Table 1.Mines, Natural Gas Annual California Gas Consumption Trends

Cairns, E.L.

2011-01-01T23:59:59.000Z

246

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

247

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

248

Tariff-based analysis of commercial building electricity prices  

E-Print Network [OSTI]

4 Calculation of Electricity Prices 4.1 Averageaverage seasonal and annual electricity prices by region inbased annual average electricity price vs. annual energy

Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

2008-01-01T23:59:59.000Z

249

World energy consumption  

SciTech Connect (OSTI)

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

250

Annual Energy Review 2000  

Gasoline and Diesel Fuel Update (EIA)

Review Review 2000 www.eia.doe.gov On the Web at: www.eia.doe.gov/aer Energy Information Administration DOE/EIA-0384(2000) August 2001 Annual Energy Review 2000 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 2000. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en- ergy sources. Publication of this report is required under Public Law 95-91 (Department of Energy Organization Act), Section 205(c), and is in keeping with re- sponsibilities given to the Energy Information Administration under Sec- tion 205(a)(2), which

251

Estimating Industrial Electricity Conservation Potential in the Pacific Northwest  

E-Print Network [OSTI]

each day) Annual Electric Power ConsumptionJ Million kWh Refrigeration Power J kW 3J 42l Other MachinerYJ kW 1J928 CookingJ kW 373 311 Space HeatingJ kW Total kW when Operating Fuel ConsumptionJ 10 6 Btu/Hr (When Operating) ,. 3. 3. Enqineering Analysis For each conservation measure applied to each typical plant, an engineering analysis was performed to calculate the potential electricity saving, capi tal costs for implementing the measure, annual oper ating...

Limaye, D. R.; Hinkle, B. K.; Lang, K.

1982-01-01T23:59:59.000Z

252

Annual Energy Outlook 2009 - High Price Case Tables  

Gasoline and Diesel Fuel Update (EIA)

6-2030) 6-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel High Price Case Tables (2006-2030) Table Title Formats Summary High Price Case Tables PDF GIF High Price Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions XLS GIF Table 9. Electricity Generating Capacity

253

Annual Energy Outlook 2007 - Low Economic Growth Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Low Macroeconomic Growth Case Tables (2004-2030) Low Macroeconomic Growth Case Tables (2004-2030) Annual Energy Outlook 2007 with Projections to 2030 MS Excel Viewer Spreadsheets are provided in Excel Low Economic Growth Case Tables (2004-2030) Table Title Formats Summary Low Economic Growth Case Tables Low Economic Growth Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption Table 5. Commercial Sector Indicators and Consumption Table 6. Industrial Sector Key Indicators and Consumption Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and Emissions Table 9. Electricity Generating Capacity

254

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%

255

Vehicle Technologies Office: 2013 Advanced Power Electronics and Electric Motors R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

This report describes the progress made on the research and development projects funded by the Advanced Power Electronics and Electric Motors subprogram in the Vehicle Technologies Office.

256

2014 Annual Planning Summary for the Office of Electricity and Energy Reliability  

Broader source: Energy.gov [DOE]

The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2014 and 2015 within the Office of Electricity and Energy Reliability.

257

2011 Annual Planning Summary for Electricity Delivery and Energy Reliability (OE)  

Broader source: Energy.gov [DOE]

The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within the Office of Electricity Delivery and Energy Reliability (OE).

258

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

259

Integrated life-cycle assessment of electricity-supply scenarios confirms global environmental benefit of low-carbon technologies  

Science Journals Connector (OSTI)

...are attributable to marine vessel operations and one fifth to...associated with the upstream fuel chain processes, the inclusion...42 - Annual grid electricity consumption 3700 7920 MWh/yr Annual natural...Table S5: Key data for fossil fuel plants ZZQQhy Power plant efficiencies...

Edgar G. Hertwich; Thomas Gibon; Evert A. Bouman; Anders Arvesen; Sangwon Suh; Garvin A. Heath; Joseph D. Bergesen; Andrea Ramirez; Mabel I. Vega; Lei Shi

2014-01-01T23:59:59.000Z

260

Vehicle Technologies Office: 2008 Advanced Power Electronics and Electric Machinery R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

The Advanced Power Electronics and Electric Machinery subprogram within the DOE Vehicle Technologies Office provides support and guidance for many cutting-edge automotive technologies now under development. Research is focused on developing revolutionary new power electronics (PE) and electric machinery technologies that will leapfrog current on-the-road technologies.

Note: This page contains sample records for the topic "annual 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

Monthly/Annual Energy Review - renewable section  

Reports and Publications (EIA)

Monthly and latest annual statistics on renewable energy production and consumption and overviews of fuel ethanol and biodiesel.

2015-01-01T23:59:59.000Z

262

C:\\ANNUAL\\Vol2chps.v8\\ANNUAL2.VP  

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

Historical Natural Gas Annual 1930 Through 2000 38. Average Consumption and Annual Cost of Natural Gas per Consumer by State, 1967-1989 Table State Residential Commercial...

263

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

264

To: Rebecca Peterson, ERS2014@eia.gov Re: Public Comments on Form EIA-861, ''Annual Electric Power Industry Report''  

Gasoline and Diesel Fuel Update (EIA)

To: Rebecca Peterson, ERS2014@eia.gov To: Rebecca Peterson, ERS2014@eia.gov Re: Public Comments on Form EIA-861, ''Annual Electric Power Industry Report'' From: Volunteer members of the Large Public Power Council Energy Efficiency Working Group (LPPC EEWG) Benchmarking Subcommittee, led by:  Subcommittee Chair Norman Muraya (Austin Energy) norman.muraya@austinenergy.com,  Member Tom Gross (Orlando Utilities Commission) tgross@ouc.com, and  Facilitated by Annika Brink (Alliance to Save Energy/Clean and Efficient Energy Program for Public Power) abrink@ase.org. Over the course of the past year, the LPPC EEWG's Benchmarking Subcommittee has leveraged data from Form EIA-861, Schedule 6 to benchmark the energy efficiency activities and performance of LPPC

265

Natural Gas Withdrawals from Underground Storage (Annual Supply &  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

266

Injections of Natural Gas into Storage (Annual Supply & Disposition)  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

267

Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US  

E-Print Network [OSTI]

cause total US residential energy consumption to increase byper year of US residential energy consumption. Overall, thewould increase US annual residential energy consumption by a

Deschnes, Olivier; Greenstone, Michael

2007-01-01T23:59:59.000Z

268

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

269

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

270

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

271

Vehicle Technologies Office: 2011 Advanced Power Electronics and Electric Motors R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

The Advanced Power Electronics and Electric Motors (APEEM) program within the DOE Vehicle Technologies Office (VTO) provides support and guidance for many cutting-edge automotive technologies now under development. Research is focused on developing revolutionary new power electronics (PE), electric motor (EM), thermal management, and traction drive system technologies that will leapfrog current on-the-road technologies. The research and development (R&D) is also aimed at achieving a greater understanding of and improvements in the way the various new components of tomorrows automobiles will function as a unified system to improve fuel efficiency.

272

Vehicle Technologies Office: 2012 Advanced Power Electronics and Electric Motors R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

The Advanced Power Electronics and Electric Motors (APEEM) program within the DOE Vehicle Technologies Office (VTO) provides support and guidance for many cutting-edge automotive technologies now under development. Research is focused on developing revolutionary new power electronics (PE), electric motor (EM), thermal management, and traction drive system technologies that will leapfrog current on-the-road technologies. The research and development (R&D) is also aimed at achieving a greater understanding of and improvements in the way the various new components of tomorrows automobiles will function as a unified system to improve fuel efficiency.

273

Cost and quality of fuels for electric utility plants: Energy data report. 1980 annual  

SciTech Connect (OSTI)

In 1980 US electric utilities reported purchasng 594 million tons of coal, 408.5 million barrels of oil and 3568.7 billion ft/sup 3/ of gas. As compared with 1979 purchases, coal rose 6.7%, oil decreased 20.9%, and gas increased for the fourth year in a row. This volume presents tabulated and graphic data on the cost and quality of fossil fuel receipts to US electric utilities plants with a combined capacity of 25 MW or greater. Information is included on fuel origin and destination, fuel types, and sulfur content, plant types, capacity, and flue gas desulfurization method used, and fuel costs. (LCL)

Not Available

1981-06-25T23:59:59.000Z

274

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Residential Density on Vehicle Usage and Energy ConsumptionType Choice, and Fuel Usage Total annual residentialResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

275

Vehicle Technologies Office: 2010 Advanced Power Electronics and Electric Motors R&D Annual Progress Report  

Broader source: Energy.gov [DOE]

The APEEM subprogram within the DOE Vehicle Technologies Office (VTO) provides support and guidance for many cutting-edge automotive technologies now under development. Research is focused on developing revolutionary new power electronics (PE) and electric motor technologies that will leapfrog current on-the-road technologies.

276

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

277

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

278

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

279

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

280

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.

Note: This page contains sample records for the topic "annual 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

Form EIA-860M MONTHLY UPDATE TO ANNUAL ELECTRIC GENERATOR REPORT  

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

INSTRUCTIONS INSTRUCTIONS Year: 2013 No. 1905-0129 Approval Expires: 12/31/2015 Burden: 0.3 Hours PURPOSE Form EIA-860M collects data on the status of: a) Proposed new generators scheduled to begin commercial operation within the subsequent 12 months; b) Existing generators scheduled to retire from service within the subsequent 12 months; and c) Existing generators that have proposed modifications that are scheduled for completion within one month. The data collected on this form appear in the EIA publication Electric Power Monthly. They are also used to monitor the current status and trends of the electric power industry and to evaluate the future of the industry. REQUIRED RESPONDENTS Respondents to the Form EIA-860M who are required to complete this form are all Form EIA-860,

282

"Annual Electric Power Industry Report (EIA-861 data file)  

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

FILES FILES Electric power sales, revenue, and energy efficiency Form EIA-861 detailed data files Release Date for 2012: October 29, 2013 Next Release date: October 29, 2014 Re-Release 2012 data: December 9, 2013 (CORRECTION) Data files include information such as peak load, generation, electric purchases, sales, revenues, customer counts and demand-side management programs, green pricing and net metering programs, and distributed generation capacity. The EIA-861S (Short Form) was created in 2012. Approximately 1,100 utilities completed this form in lieu of the EIA-861. The short form has fewer questions and collects retail sales data as an aggregate and not by customer sector. EIA has estimated the customer sector breakdown for this data and has included under the file called "Retail Sales." Advanced metering data and time-of-use data are collected on both Form EIA-861 and Form EIA-861S.

283

Regional-Scale Estimation of Electric Power and Power Plant CO2 Emissions Using Defense Meteorological Satellite Program Operational Linescan System Nighttime Satellite Data  

Science Journals Connector (OSTI)

For estimation, the relationship between Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) annual nighttime stable light product (NSL) for 2006 and statistical data on power generation, power consumption, and power plant CO2 emissions in 10 electric power supply regions of Japan was investigated. ... There are similar linear correlations of electricity consumption for lighting and total electricity consumption at the regional (e.g., state and province) level, but possibly not for CO2 emissions because of regional concentrations of electricity from renewable energy and nuclear power plants, which produce low CO2 emissions. ...

Husi Letu; Takashi Y. Nakajima; Fumihiko Nishio

2014-04-24T23:59:59.000Z

284

EIA-Annual Energy Outlook 2010 - Low Economic Growth Tables  

Gasoline and Diesel Fuel Update (EIA)

Economic Growth Tables (2007- 2035) Economic Growth Tables (2007- 2035) Annual Energy Outlook 2010 Main Low Economic Growth Tables (2007- 2035) Table Title Formats Summary Low Economic Growth Case Tables PDF Gif Year-by-Year Low Economic Growth Case Tables Excel Gif Table 1. Total Energy Supply, Disposition, and Price Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions

285

EIA-Annual Energy Outlook 2010 - High Economic Growth Tables  

Gasoline and Diesel Fuel Update (EIA)

Economic Growth Tables (2007-2035) Economic Growth Tables (2007-2035) Annual Energy Outlook 2010 Main High Economic Growth Tables (2007- 2035) Table Title Formats Summary High Economic Growth Case Tables PDF Gif Year-by-Year High Economic Growth Case Tables Excel Gif Table 1. Total Energy Supply and Disposition Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions Excel Gif

286

EIA-Annual Energy Outlook 2009 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Release > Year-by-Year Reference Case Tables (2006-2030) Release > Year-by-Year Reference Case Tables (2006-2030) Annual Energy Outlook 2009 Early Release Year-by-Year Reference Case Tables (2006-2030) Table Title Formats Summary Reference Case Tables PDF Gif Year-by-Year Reference Case Tables Excel Gif Table 1. Total Energy Supply and Disposition Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions

287

Renewable Energy Consumption by Energy Use Sector and Energy Source, 2004 -  

Open Energy Info (EERE)

by Energy Use Sector and Energy Source, 2004 - by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description Provides annual consumption (in quadrillion Btu) of renewable energy by energy use sector (residential, commercial, industrial, transportation and electricity) and by energy source (e.g. solar, biofuel) for 2004 through 2008. Original sources for data are cited on spreadsheet. Also available from: www.eia.gov/cneaf/solar.renewables/page/trends/table1_2.xls Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords annual energy consumption biodiesel Biofuels biomass energy use by sector ethanol geothermal Hydroelectric Conventional Landfill Gas MSW Biogenic Other Biomass renewable energy Solar Thermal/PV Waste wind Wood and Derived Fuels Data application/vnd.ms-excel icon RE Consumption by Energy Use Sector, Excel file (xls, 32.8 KiB)

288

AEO2011: Energy Consumption by Sector and Source - Mountain | OpenEI  

Open Energy Info (EERE)

Mountain Mountain 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 8, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption mountain region Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Mountain- Reference Case (xls, 297.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

289

AEO2011: Energy Consumption by Sector and Source - New England | OpenEI  

Open Energy Info (EERE)

New England New England 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 1, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption New England Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - New England- Reference Case (xls, 297.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

290

AEO2011: Energy Consumption by Sector and Source - West South Central |  

Open Energy Info (EERE)

South Central South Central 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 7, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption West South Central Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - West South Central- Reference Case (xls, 297.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

291

AEO2011: Energy Consumption by Sector and Source - South Atlantic | OpenEI  

Open Energy Info (EERE)

South Atlantic South Atlantic 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 5, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption sector South Atlantic Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - South Atlantic- Reference Case (xls, 297.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

292

AEO2011: Energy Consumption by Sector and Source - West North Central |  

Open Energy Info (EERE)

North Central North Central 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 4, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - West North Central- Reference Case (xls, 297.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

293

AEO2011: Energy Consumption by Sector and Source - United States | OpenEI  

Open Energy Info (EERE)

United States United States 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 10, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption United States Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - United States- Reference Case (xls, 298.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

294

Annual Energy Outlook 2001 - Overview  

Gasoline and Diesel Fuel Update (EIA)

Overview Overview Key Energy Issues to 2020 Prices Consumption Energy Intensity Electricity Generation Production and Imports Carbon Dioxide Emissions Key Energy Issues to 2020 Currently, most attention in energy markets is focused on near-term issues of world oil supply and prices, U.S. natural gas prices, and the transition to restructured electricity markets in several regions of the country. The Annual Energy Outlook 2001 (AEO2001) addresses the longer-term trends of electricity industry restructuring, fossil fuel supply and prices, and the impacts of economic growth on projected energy use and carbon dioxide emissions. AEO2001 does not project short-term events, such as supply disruptions or severe weather. The AEO2001 projections assume a transition to full competitive pricing of

295

Monthly/Annual Energy Review - nuclear section  

Reports and Publications (EIA)

Monthly and latest annual statistics on nuclear electricity capacity, generation, and number of operable nuclear reactors.

2015-01-01T23:59:59.000Z

296

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

297

[Tampa Electric Company IGCC project]. 1996 DOE annual technical report, January--December 1996  

SciTech Connect (OSTI)

Tampa Electric Company`s Polk Power Station Unit 1 (PPS-1) Integrated Gasification Combined Cycle (IGCC) demonstration project uses a Texaco pressurized, oxygen-blown, entrained-flow coal gasifier to convert approximately 2,000 tons per day of coal to syngas. The gasification plant is coupled with a combined cycle power block to produce a net 250 MW electrical power output. Coal is slurried in water, combined with 95% pure oxygen from an air separation unit, and sent to the gasifier to produce a high temperature, high pressure, medium-Btu syngas with a heat content of about 250 BTUs/cf (HHV). The syngas then flows through a high temperature heat recovery unit which cools the syngas prior to its entering the cleanup systems. Molten coal ash flows from the bottom of the high temperature heat recovery unit into a water-filled quench chamber where it solidifies into a marketable slag by-product. Approximately 10% of the raw, hot syngas at 900 F is designed to pass through an intermittently moving bed of metal-oxide sorbent which removes sulfur-bearing compounds from the syngas. PPS-1 will be the first unit in the world to demonstrate this advanced metal oxide hot gas desulfurization technology on a commercial unit. The emphasis during 1996 centered around start-up activities.

NONE

1997-12-31T23:59:59.000Z

298

EIA - Annual Energy Outlook 2013 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2013 Annual Energy Outlook 2013 Release Dates: April 15 - May 2, 2013 | Next Early Release Date: December 16, 2013 (See release cycle changes) | correction | full report Overview Data Reference Case Side Cases Interactive Table Viewer Topics Source Oil/Liquids Natural Gas Coal Electricity Renewable/Alternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand Other Emissions Prices Macroeconomic International Efficiency Publication Chapter Market Trends Issues in Focus Legislation & Regulations Comparison Appendices Table Title Formats Summary Reference Case Tables Year-by-Year Reference Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption

299

EIA - Annual Energy Outlook 2013 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2013 Annual Energy Outlook 2013 Release Dates: April 15 - May 2, 2013 | Next Early Release Date: December 2013 (See release cycle changes) | correction | full report Overview Data Reference Case Side Cases Interactive Table Viewer Topics Source Oil/Liquids Natural Gas Coal Electricity Renewable/Alternative Nuclear Sector Residential Commercial Industrial Transportation Energy Demand Other Emissions Prices Macroeconomic International Efficiency Publication Chapter Market Trends Issues in Focus Legislation & Regulations Comparison Appendices Table Title Formats Summary Reference Case Tables Year-by-Year Reference Case Tables Table 1. Total Energy Supply and Disposition Summary Table 2. Energy Consumption by Sector and Source Table 3. Energy Prices by Sector and Source Table 4. Residential Sector Key Indicators and Consumption

300

EIA - Annual Energy Outlook 2013 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation Electricity Generation Total electricity consumption in the AEO2013 Reference case, including both purchases from electric power producers and on-site generation, grows from 3,841 billion kilowatthours in 2011 to 4,930 billion kilowatthours in 2040, an average annual rate of 0.9 percent-about the same rate as in the AEO2012 Reference case through 2035. The combination of slow growth in electricity demand, competitively priced natural gas, programs encouraging renewable fuel use, and the implementation of new environmental rules dampens future coal use. The AEO2013 Reference case assumes implementation of the CAIR as a result of an August 2012 federal court decision to vacate the CSAPR. The lower natural gas prices in the early years of the AEO2013 Reference case result in

Note: This page contains sample records for the topic "annual 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

EIA - Annual Energy Outlook 2012 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation Electricity Generation Total electricity consumption, including both purchases from electric power producers and on-site generation, grows from 3,879 billion kilowatthours in 2010 to 4,775 billion kilowatthours in 2035 in the AEO2012 Reference case, increasing at an average annual rate of 0.8 percent, about the same rate as in the AEO2011 Reference case. The combination of slow growth in electricity demand, competitively priced natural gas, programs encouraging renewable fuel use, and the implementation of new environmental rules dampens coal use in the future. The AEO2012 Reference case includes the impacts of the CSAPR, which was finalized in July 2011 and was not represented in the AEO2011 Reference case. CSAPR requires reductions in SO2 and NOX emissions in roughly

302

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

303

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

304

Effect of daylighting on energy consumption and daylight quality in an existing elementary school  

E-Print Network [OSTI]

created for the base case and all proposed daylighting designs for building energy performance evaluation using the DOE-2 building energy simulation program. Daylight factors from the actual spaces, physical model measurements, and computer simulation... outputs were studied for trends iv in interior daylight illuminance levels. Annual energy consumption analyses were performed using DOE-2 and involved heating, cooling, and electrical energy use comparisons of all proposed designs with the base case...

Atre, Umesh Vinayak

2005-08-29T23:59:59.000Z

305

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

306

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)

307

EIA-Annual Energy Outlook 2010 - Low Oil PriceTables  

Gasoline and Diesel Fuel Update (EIA)

Oil Price Tables (2007-2035) Oil Price Tables (2007-2035) Annual Energy Outlook 2010 Main Low Oil Price Tables (2007- 2035) Table Title Formats Summary Low Oil Price Case Tables PDF Gif Year-by-Year Low Oil Price Case Tables Excel Gif Table 1. Total Energy Supply and Disposition Summary Excel Gif Table 2. Energy Consumption by Sector and Source Excel Gif Table 3. Energy Prices by Sector and Source Excel Gif Table 4. Residential Sector Key Indicators and Consumption Excel Gif Table 5. Commercial Sector Indicators and Consumption Excel Gif Table 6. Industrial Sector Key Indicators and Consumption Excel Gif Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption Excel Gif Table 8. Electricity Supply, Disposition, Prices, and Emissions Excel Gif Table 9. Electricity Generating Capacity

308

International Experience in Standards and Labeling Programs for Rice Cookers  

E-Print Network [OSTI]

of the average electricity consumption of IH electric riceannual estimated electricity consumption, and annualcosts. The annual electricity consumption is calculated

Zhou, Nan

2008-01-01T23:59:59.000Z

309

,"New York Natural Gas Lease and Plant Fuel Consumption (MMcf...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Lease and Plant Fuel Consumption (MMcf)",1,"Annual",1998 ,"Release...

310

,"New York Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Consumption by End Use",10,"Annual",2013,"6301967" ,"Release Date:","10...

311

,"New York Natural Gas Lease Fuel Consumption (MMcf)"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Lease Fuel Consumption (MMcf)",1,"Annual",2013 ,"Release Date:","1031...

312

Electric and Magnetic Fields Research and Public Information Dissemination Program annual report for fiscal year 1996  

SciTech Connect (OSTI)

The Electric and Magnetic Fields (EMF) Research and Public Information Dissemination (RAPID) Program was authorized by the Energy Policy Act of 1992 as a near-term effort to expand and accelerate the research needed to address the EMF issue. As required by this legislation, the EMF Interagency Committee, the National EMF Advisory Committee (NEMFAC), and the National Academy of Sciences (NAS) are providing valued input and advice for the direction of this program. With this input and advice, the Department of Energy (DOE) and the National Institute of Environmental Health Sciences (NIEHS) have developed and are implementing five-year program plans. Multi-year health effects research projects and related EMF measurement and exposure assessment projects are underway using funds appropriated in fiscal years 1994, 1995, and 1996 together with voluntary non-Federal contributions. The results of these research projects, along with the results of other EMF research, will be used as input to the hazard evaluation effort, which is the focus of the EMF RAPID Program. A coordinated interagency program is underway to communicate needed information on the EMF issue in a clear manner to the public and other decision makers.

NONE

1997-06-01T23:59:59.000Z

313

ORNL Superconducting Technology Program for Electric Energy Systems. Annual report for FY 1992  

SciTech Connect (OSTI)

The Oak Ridge National Laboratory (ORNL) Superconducting Technology Program is conducted as part of a national effort by the US Department of Energy`s (DOE`s) Office of Conservation and Renewable Energy to develop the technology base needed by US industry for commercial development of electric power applications of high-temperature superconductivity. The two major elements of this program are wire development and systems development. This document describes the major research and development activities for this program together with related accomplishments. The technical progress reported was summarized from information prepared for the FY 1992 Peer Review of Projects, conducted by DOE`s Office of Program Analysis, Office of Energy Research. This ORNL program is highly leveraged by the staff and other resources of US industry and universities. Interlaboratory teams are also in place on a number of industry-driven projects. Patent disclosures, working group meetings, staff exchanges, and joint publications and presentations ensure that there is technology transfer to US industry. Working together, the collaborative teams are making tremendous progress in solving the scientific and technical issues necessary for the commercialization of long lengths of practical high-temperature superconductor wire and wire products.

Hawsey, R.A. [comp.

1993-02-01T23:59:59.000Z

314

Assessing the impact of changes in the electricity price structure on dairy farm energy costs  

Science Journals Connector (OSTI)

Abstract This study aims to provide information on the changes in electricity consumption and costs on dairy farms, through the simulation of various electricity tariffs that may exist in the future and how these tariffs interact with changes in farm management (i.e. shifting the milking operation to an earlier or later time of the day). A previously developed model capable of simulating electricity consumption and costs on dairy farms (MECD) was used to simulate five different electricity tariffs (Flat, Day&Night, Time of Use Tariff 1 (TOU1), TOU2 and Real Time Pricing (RTP)) on three representative Irish dairy farms: a small farm (SF), a medium farm (MF) and a large farm (LF). The Flat tariff consisted of one electricity price for all time periods, the Day&Night tariff consisted of two electricity prices, a high rate from 09:00 to 00:00h and a low rate thereafter. The TOU tariff structure was similar to that of the Day&Night tariff except that a peak price band was introduced between 17:00 and 19:00h. The RTP tariff varied dynamically according to the electricity demand on the national grid. The model used in these simulations was a mechanistic mathematical representation of the electricity consumption that simulated farm equipment under the following headings; milk cooling system, water heating system, milking machine system, lighting systems, water pump systems and the winter housing facilities. The effect of milking start time was simulated to determine the effect on electricity consumption and costs at farm level. The earliest AM milking start time and the latest PM milking start time resulted in the lowest energy consumption. The difference between the lowest and highest electricity consumption within a farm was 7% for SF, 5% for MF and 5% for LF. This difference was accounted for by the variation in the milk cooling system coefficient of performance. The greatest scope to reduce total annual electricity costs by adjusting milking start times was on TOU2 (39%, 34% and 33% of total annual electricity costs on the SF, MF and LF) and the least scope for reductions using this method was on the Flat tariff (7%, 5% and 7% of total annual electricity costs). The potential for reduction of annual electricity consumption and related costs per litre of milk produced by adjusting milking times was higher for the LF than the SF or MF across all electricity tariffs. It is anticipated that these results and the use of the MECD will help support the decision-making process at farm level around increasing energy efficiency and electricity cost forecasts in future electricity pricing tariff structures.

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

2015-01-01T23:59:59.000Z

315

Annual Energy Review 1999  

Gasoline and Diesel Fuel Update (EIA)

9 9 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 1999. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en- ergy sources. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2) that: "The Administrator shall be responsible for carrying out a cen- tral, comprehensive, and unified energy data and information program which will collect, evaluate, assemble,

316

Annual Energy Review 1998  

Gasoline and Diesel Fuel Update (EIA)

8 8 The Annual Energy Review (AER) presents the Energy Information Admin- istration's historical energy statistics. For many series, statistics are given for every year from 1949 through 1998. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, in- cluding consumption, production, trade, stocks, and prices, for all major energy commodities, including fossil fuels, electricity, and renewable en- ergy sources. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2) that: "The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program which will collect, evaluate, assemble,

317

AEO2011: Energy Consumption by Sector and Source - East South Central |  

Open Energy Info (EERE)

South Central South Central 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 6, and contains only the reference case. The dataset uses quadrillion btu. The data is broken down into residential, commercial, industrial, transportation, electric power and total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Commercial East South Central EIA Electric Power Energy Consumption Industrial Residential transportation Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - East South Central- Reference Case (xls, 297.5 KiB) Quality Metrics Level of Review Peer Reviewed

318

AEO2011: Natural Gas Consumption by End-Use Sector and Census Division |  

Open Energy Info (EERE)

Consumption by End-Use Sector and Census Division Consumption by End-Use Sector and Census Division 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

319

Window-Related Energy Consumption in the US Residential and Commercial Building Stock  

E-Print Network [OSTI]

roughly 2.7% of total US energy consumption. The final tworoughly 1.5% of total US energy consumption. The final twoSpace Conditioning Energy Consumption in US Buildings Annual

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

320

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 "annual 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

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

322

Annual Energy Review 2009 - Released August 2010  

Gasoline and Diesel Fuel Update (EIA)

The Annual Energy Review (AER) is the U.S. Energy Information Administration's The Annual Energy Review (AER) is the U.S. Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international energy; financial and environment indicators; and data unit conversions. Publication of this report is required under Public Law 95-91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: "The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program

323

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

324

Unit Cost Electricity | OpenEI  

Open Energy Info (EERE)

8 8 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281518 Varnish cache server Unit Cost Electricity 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

325

EIA - Annual Energy Outlook 2011 Early Release  

Gasoline and Diesel Fuel Update (EIA)

Energy Prices Energy Consumption by Sector Energy Consumption by Primary Fuel Energy Intensity Energy Production and Imports Electricity Generation Energy-Related Carbon Dioxide...

326

EIA - Annual Energy Outlook 2012 Early Release  

Gasoline and Diesel Fuel Update (EIA)

summary Introduction Economic growth Energy prices Energy consumption by sector Energy consumption by primary fuel Energy intensity Energy production and imports Electricity...

327

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.

328

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.

329

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.

330

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.

331

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

332

Annual Energy Outlook 2011: With Projections to 2035  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2011 Annual Energy Outlook 2011 Table G1. Heat Rates Fuel Units Approximate Heat Content Coal 1 Production . . . . . . . . . . . . . . . . . . . . . . . . million Btu per short ton 19.933 Consumption . . . . . . . . . . . . . . . . . . . . . . million Btu per short ton 19.800 Coke Plants . . . . . . . . . . . . . . . . . . . . . . million Btu per short ton 26.327 Industrial . . . . . . . . . . . . . . . . . . . . . . . . . million Btu per short ton 21.911 Residential and Commercial . . . . . . . . . . million Btu per short ton 21.284 Electric Power Sector . . . . . . . . . . . . . . . million Btu per short ton 19.536 Imports . . . . . . . . . . . . . . . . . . . . . . . . . . . million Btu per short ton

333

EIA - Annual Energy Outlook 2007 with Projections to 2030 - Market  

Gasoline and Diesel Fuel Update (EIA)

Oil and natural Gas Oil and natural Gas Annual Energy Outlook 2007 with Projections to 2030 Oil and Natural Gas Figure 67. Natural gas consumption by sector, 1990-2030 (trillion cubic feet). Need help, contact the National Energyi Information Center at 202-586-8800. figure data Figure 67. Total natural gas consumption, 1990-2030 (trilliion cubic feet). Need help, contact the National Energyi Information Center at 202-586-8800. figure data Projected Natural Gas Use for Electricity Generation Peaks in 2020 Total natural gas consumption in the United States is projected to increase from 22.0 trillion cubic feet in 2005 to 26.1 trillion cubic feet in 2030 in the AEO2007 reference case. Much of the growth is expected before 2020, with demand for natural gas in the electric power sector growing from 5.8

334

Annual Energy Outlook with Projections to 2025-Market Trends - Energy  

Gasoline and Diesel Fuel Update (EIA)

Energy Demand Energy Demand Index (click to jump links) Residential Sector Commercial Sector Industrial Sector Transportation Sector Energy Demand in Alternative Technology Cases Annual Growth in Energy Use Is Projected To Continue Net energy delivered to consumers represents only a part of total primary energy consumption. Primary consumption includes energy losses associated with the generation, transmission, and distribution of electricity, which are allocated to the end-use sectors (residential, commercial, and industrial) in proportion to each sector’s share of electricity use [103]. Figure 45. Primary and delivered energy consumption, excluding transportation use, 1970-2025 (quadrillion Btu). Having problems, call our National Energy Information Center at 202-586-8800 for help.

335

Comparison of building energy use data between the United States and China  

E-Print Network [OSTI]

pipes, etc. Annual Electricity Consumption Comparison OtherFig. 7. Annual electricity consumption comparison of case-the total annual electricity consumption, Buildings A and B

Xia Ph.D., Jianjun

2014-01-01T23:59:59.000Z

336

Electric Power detailed State data  

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

Detailed State Data Detailed State Data Annual data for 2012 Release Date: November 12, 2013 Next Release Date: November 2014 Revision/Corrections Annual data format 1990 - 2012 Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923)1 XLS 1990 - 2012 Fossil Fuel Consumption for Electricity Generation by Year, Industry Type and State (EIA-906, EIA-920, and EIA-923)2 XLS 1990 - 2011 Existing Nameplate and Net Summer Capacity by Energy Source, Producer Type and State (EIA-860)1, 3 XLS 2011 - 2016 Proposed Nameplate and Net Summer Capacity by Year, Energy Source, and State (EIA-860)1 XLS 1990 - 2011 U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923)4 XLS 1990 - 2012 Average Price by State by Provider (EIA-861)5 XLS

337

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.

338

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.

339

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.

340

Energy consumption profile of public housing for lower-mid income families in a fast growing city of Argentina  

Science Journals Connector (OSTI)

A large variety of construction patterns can be found in public-housing programs for lower-mid income families in Santa Rosa, a fast growing city located in a temperate area of central Argentina. Very little attention has been paid to the energy assessment of different patterns that are needed to prescribe energy-saving guidelines for improving the energy performance of housing plans. The objective of this work was to describe the energy profile and understand the energy behaviour of public housing programs which differ in their construction patterns. The annual and seasonal energy behaviour of public and non-public residential dwellings was compared in terms of electricity and gas consumption. A similar comparison between remodelled and non-remodelled dwellings was performed within the public-dwellings sample. Results showed that public and non-public dwellings did not differ in terms of electricity consumption, but they differed greatly in terms of gas consumption. Non-public dwellings, which are larger and heterogeneous, demand more gas for heating during the winter. No difference in annual energy consumption was found in the comparison of remodelled and non-remodelled public dwellings. However, they differ in electricity consumption patterns during the critical winter season: the lower winter consumption of remodelled dwellings could be partially explained by a construction change aimed at lowering the expensive consumption of electricity. In spite of the fact that the energy behaviour of public dwellings seems to be seasonal, dependent upon more than design factors alone, a significant energy saving can be obtained by introducing well-known design technologies.

Celina Filippin

1998-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "annual 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

Energy Consumption Simulation and Analysis of Heat Pump Air Conditioning System in Wuhan by the BIN Method  

E-Print Network [OSTI]

to simulate the annual energy consumption of groundwater heat pump systems (GWHPS) for an office building in Wuhan. Its annual energy consumption was obtained and compared with the partner of the air source heat pump systems (ASHPS). The results show...

Wen, Y.; Zhao, F.

2006-01-01T23:59:59.000Z

342

Electric Power Annual  

Gasoline and Diesel Fuel Update (EIA)

Average revenue per kilowatthour (cents/kWh) Average revenue per kilowatthour (cents/kWh) State Residential Commerical Industrial Total Alabama 11.40 10.63 6.22 9.18 Alaska 17.88 14.93 16.82 16.33 Arizona 11.29 9.53 6.53 9.81 Arkansas 9.30 7.71 5.76 7.62 California 15.34 13.41 10.49 13.53 Colorado 11.46 9.39 6.95 9.39 Connecticut 17.34 14.65 12.67 15.54 Delaware 13.58 10.13 8.36 11.06 District of Columbia 12.28 12.02 5.46 11.85 Florida 11.42 9.66 8.04 10.44 Georgia 11.17 9.58 5.98 9.37 Hawaii 37.34 34.88 30.82 34.04 Idaho 8.67 6.86 5.48 6.92 Illinois 11.38 7.99 5.80 8.40 Indiana 10.53 9.14 6.34 8.29 Iowa 10.82 8.01 5.30 7.71 Kansas 11.24 9.24 7.09 9.33 Kentucky 9.43 8.73 5.35 7.26 Louisiana 8.37 7.75 4.76 6.90 Maine 14.66 11.53 7.98 11.81

343

AEO2011: Energy Consumption by Sector and Source - Pacific | OpenEI  

Open Energy Info (EERE)

Pacific Pacific Dataset Summary Description This dataset comes from the Electric Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This data reflects Table 9, and contains only the reference case. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Energy Consumption Pacific Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Pacific- Reference Case (xls, 297.5 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

344

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.

345

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).

346

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

residential electricity consumption include disaggregationfor annual residential electricity consumption through 2050.Saturation and unit electricity consumption are projected

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

347

Life-cycle Environmental Inventory of Passenger Transportation in the United States  

E-Print Network [OSTI]

andInfrastructureElectricityConsumption(GWh/train?studyestimatesannualelectricityconsumptionbylightingstudy estimates electricity consumption for traffic

Chester, Mikhail V

2008-01-01T23:59:59.000Z

348

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...

349

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: December 2011 Highlights: December 2011 Warm temperatures across the Eastern half of the continental U.S. led to lower retail sales of electricity during December 2011. Coal-fired generation decreased in every region of the United States when compared to December 2010. Electric system load ranged in the mid-to-low section of the annual range across all wholesale regions except the Bonneville Power Administration in the Northwest in December 2011. Key Indicators Dec. 2011 % Change from Dec. 2010 Total Net Generation (Thousand MWh) 336,419 -7.1% Residential Retail Price (cents/kWh) 11.52 4.2% Retail Sales (Thousand MWh) 299,421 -6.1% Heating Degree-Days 713 -20.6% Natural Gas Price, Henry Hub ($/MMBtu) 3.24 -25.7% Coal Stocks (Thousand Tons) 175,100 -0.1% Coal Consumption

350

Annual Energy Outlook 2009 - Year-by-Year High Economic Growth Case Tables  

Gasoline and Diesel Fuel Update (EIA)

High Macroeconomic Growth Case Tables (2006-2030) High Macroeconomic Growth Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel Year-by-Year High Economic Growth Case Tables (2006-2030) Table Title Formats Summary High Economic Growth Case Tables PDF GIF High Economic Growth Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions

351

Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go 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 › ResidentialAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. State Fact Sheets on Household Energy Use

352

Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution  

Buildings Energy Data Book [EERE]

5 5 2010 Impacts of Saving an Electric Quad (1) Utility Average-Sized Aggregate Number of Units Fuel Input Utility Unit (MW) to Provide the Fuel's Share Plant Fuel Type Shares (%) in 2010 of the Electric Quad (2) Coal 49% 36 Petroleum 1% 96 Natural Gas 19% 141 Nuclear 22% 3 Renewable (3) 10% 184 Total 100% 460 Note(s): Source(s): EIA, Electric Power Annual 2010, Feb. 2012, Table 1.2; and EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table A2 for consumption and Table A8 for electricity supply. 245 17 85 1,026 22 1) This table displays the breakdown of electric power plants that could be eliminated by saving an electric quad, in exact proportion to the actual primary fuel shares for electricity produced nationwide in 2010. Use this table to estimate the avoided capacity implied by saving one

353

Environmental Implication of Electric Vehicles in China  

Science Journals Connector (OSTI)

Today, electric vehicles (EVs) are being proposed in China as one of the potential options to address the dramatically increasing energy demand from on-road transport. ... The annual increase rate of electricity consumption in the U.S. was 0.5% during 2000 and 2009 and is projected by the U.S. Energy Information Administration (EIA) to be 0.8% during 2005 and 2035 (11). ... Vehicle use could be reduced in the future, because China is in a period of rapid growth in vehicle stock, and when people own more cars, each individual car would be used less intensively. ...

Hong Huo; Qiang Zhang; Michael Q. Wang; David G. Streets; Kebin He

2010-05-24T23:59:59.000Z

354

Renewable Energy Consumption for Nonelectric Use by Energy Use Sector and  

Open Energy Info (EERE)

Nonelectric Use by Energy Use Sector and Nonelectric Use by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description This dataset provides annual renewable energy consumption (in quadrillion Btu) for nonelectric use in the United States by energy use sector and energy source between 2004 and 2008. The data was compiled and published by EIA; the spreadsheet provides more details about specific sources for data used in the analysis. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords Commercial Electric Power Industrial Nonelectric Renewable Energy Consumption Residential transportation Data application/vnd.ms-excel icon 2008_RE.Consumption.for_.Non-Elec.Gen_EIA.Aug_.2010.xls (xls, 27.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

355

AEO2011: Energy Consumption by Sector and Source - Middle Atlantic | OpenEI  

Open Energy Info (EERE)

Middle Atlantic Middle Atlantic 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 2, and contains only the reference case. The dataset uses quadrillion btu. The energy consumption data is broken down by sector (residential, commercial, industrial, transportation, electric power) as well as source, and also provides total energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA middle atlantic Data application/vnd.ms-excel icon AEO2011: Energy Consumption by Sector and Source - Middle Atlantic- Reference Case (xls, 297.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment

356

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

357

Western Electricity Coordinating | OpenEI  

Open Energy Info (EERE)

Western Electricity Coordinating Western Electricity Coordinating 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 117, and contains only the reference case. The dataset uses gigawatts, billion kilowatthours and quadrillion Btu. The data is broken down into generating capacity, electricity generation and energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO California EIA Renewable Energy Generation Western Electricity Coordinating Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generation by Fuel - Western Electricity Coordinating Council / California (xls, 119.2 KiB) Quality Metrics Level of Review Peer Reviewed

358

Energy consumption of bioclimatic buildings in Argentina during the period 20012008  

Science Journals Connector (OSTI)

The energy performance of two bioclimatic buildings located in Santa Rosa city, a temperate semi-arid agricultural region of central Argentina, is analysed. The bioclimatic design included direct solar gain, thermal inertia, natural ventilation, thermal insulation, external shading, building orientation, and dwelling grouping. Each double-story building is aligned on an EastWest axis and it has a compact shape with 350m2 of useful floor area (58m2/apartment). The solar collection area is around 18% of the apartment's useful area on the ground floor and 14% on the upper floor. This paper describes the energy performance of the buildings during the period 20012008. The analysis includes: (a) the energy consumption (natural gas and electricity) during 20012007 (natural gas: annually, bimonthly; electricity: monthly); (b) the natural gas consumption and the thermal behaviour during the winters of year 2001 (between July 27 and August 3) and 2008 (between August 8 and 13); (c) the daily natural gas consumption and the thermal behaviour during 2001 and 2008 winters; (d) the comparison between the energy consumption for heating in bioclimatic and conventional buildings. The authors concluded that the results confirm the large potential of solar buildings design to reach significant levels of energy saving. The comparison of solar and conventional buildings in terms of natural gas consumption demonstrates the magnitude of such potential.

C. Filippn; S. Flores Larsen; M. Canori

2010-01-01T23:59:59.000Z

359

Electric Vehicle Research Group  

E-Print Network [OSTI]

.................................................................................9 From diesel to electric: a new era in personnel transport for underground coal minesElectric Vehicle Research Group Annual Report 2012 #12;Table of Contents Executive Summary................................................................................8 C2-25 Electric Vehicle Drivetrain

Liley, David

360

Annual Energy Review 2004 - August 2005  

Gasoline and Diesel Fuel Update (EIA)

4 4 The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are data on total energy production, consumption, and trade; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, international energy, as well as financial and environment indicators; and data unit conversion tables. Publication of this report is required under Public Law 95-91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: "The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program

Note: This page contains sample records for the topic "annual 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

Annual Energy Review 2010 - Released October 2011  

Gasoline and Diesel Fuel Update (EIA)

M F = = | = = l c t o  e r = O M N N M F = = | = = l c t o  e r = O M N N w w w K e i ~ K g o v L ~ e r A n n u a l E n e r g y R e v i e w 2 0 1 0 The Annual Energy Review (AER) is the U.S. Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international energy; financial and environment indicators; and data unit conversions. Publication of this report is required under Public Law 95-91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states:

362

Annual Energy Review 2003 - September 2004  

Gasoline and Diesel Fuel Update (EIA)

3 3 The Annual Energy Review (AER) is the Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are data on total energy production, consumption, and trade; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renew- able energy, international energy, as well as financial and environment indicators; and data unit conversion tables. Publication of this report is required under Public Law 95-91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states: "The Administrator shall be responsible for carrying out a central, comprehensive, and unified energy data and information program

363

EIA-Annual Energy Outlook 2010 Early Release Overview  

Gasoline and Diesel Fuel Update (EIA)

Analyses > Annual Energy Outlook Early Release > Overview Analyses > Annual Energy Outlook Early Release > Overview Annual Energy Outlook Early Release Overview Full Printer-Friendly Version Overview Energy Trends to 2035 | Economic Growth | Energy Prices | Energy Consumption by Sector | Energy Consumption by Primary Fuel | Energy Intensity | Energy Production and Imports | Electricity Generation | Energy-Related Carbon Dioxide Emissions | Energy Trends to 2035 In preparing the Annual Energy Outlook 2010 (AEO2010), the Energy Information Administration (EIA) evaluated a wide range of trends and issues that could have major implications for U.S. energy markets. This overview focuses primarily on one case, the AEO2010 reference case, which is presented and compared with the updated Annual Energy Outlook 2009 (updated AEO2009) reference case released in April 20091 (see Table 1 below). Because of the uncertainties inherent in any energy market projection, particularly in periods of high price volatility, rapid market transformation, or active changes in legislation, the reference case results should not be viewed in isolation. Readers are encouraged to review the alternative cases when the complete AEO2010 publication is released in order to gain perspective on how variations in key assumptions can lead to different outlooks for energy markets.

364

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

365

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.

366

Annual Energy Outlook 2000 - Overview  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Key Issues Prices Consumption Energy Intensity Electricity Generation Production and Imports Carbon Emissions Key Issues Important energy issues addressed in the Annual Energy Outlook 2000 (AEO2000) include, among others, the ongoing restructuring of U.S. electricity markets, near-term prospects for world oil markets, and the impacts of energy use on carbon emissions. AEO2000 reflects the restructuring of U.S. electricity markets and the shift to increased competition by assuming changes in the financial structure of the industry. Ongoing efficiency and operating improvements are also assumed to continue. The projections assume a transition to full competitive pricing in States with specific deregulation plans—California, New York, New England, the Mid-Atlantic States, Illinois, Texas, Michigan, Ohio, Arizona, and New Mexico. Other States are assumed to continue cost-of-service electricity pricing. The provisions of the California legislation regarding stranded cost recovery and price caps are included. In other regions, stranded cost recovery is assumed to be phased out by 2008.

367

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

368

Annual Energy Outlook 2006 with Projections to 2030  

Gasoline and Diesel Fuel Update (EIA)

AEO Graphic Data AEO Graphic Data Annual Energy Outlook 2006 with Projections to 2030 Figure 1. Energy Prices, 1980-2030 Figure 1 Data Figure 2. Delivered Energy Consumption by Sector Figure 2 Data Figure 3. Energy Consumption by Fuel, 1980-2030 Figure 3 Data Figure 4. Energy Use Per Capita and Per Dollar of Gross Domestic Product, 1980-2030 Figure 4 Data Figure 5. Electricity Generation by Fuel, 1980-2030 Figure 5 Data Figure 6. Total Energy Production and Consumption, 1980-2030 Figure 6 Data Figure 7. Energy Production by Fuel, 1980-2030 Figure 7 Data Figure 8. Projected U.S. Carbon Dioxide Emissions by Sector and Fuel, 1990-2030 Figure 8 Data Figure 9. Sulfur Dioxide Emissions in Selected States, 1980-2003 Figure 9 Data Figure 10. World Oil Prices in the AEO2005 and AEO 2006 Reference Cases Figure 10 Data

369

Historical Renewable Energy Consumption by Energy Use Sector and Energy  

Open Energy Info (EERE)

Historical Renewable Energy Consumption by Energy Use Sector and Energy Historical Renewable Energy Consumption by Energy Use Sector and Energy Source, 1989-2008 Dataset Summary Description Provides annual renewable energy consumption by source and end use between 1989 and 2008. This data was published and compiled by the Energy Information Administration. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated August 01st, 2010 (4 years ago) Keywords annual energy consumption consumption EIA renewable energy Data application/vnd.ms-excel icon historical_renewable_energy_consumption_by_sector_and_energy_source_1989-2008.xls (xls, 41 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 1989-2008 License License Creative Commons CCZero Comment Rate this dataset

370

C:\ANNUAL\Vol2chps.v8\ANNUAL2.VP  

Gasoline and Diesel Fuel Update (EIA)

0 0 1967 1970 1973 1976 1979 1982 1985 1988 1991 1994 1997 2000 0 2 4 6 8 10 0 80 160 240 320 Dollars per Thousand Cubic Feet Dollars per Thousand Cubic Meters Residential Commercial Industrial Electric Utilities City Gate Wellhead Note: Beginning in 1996, consumption of natural gas for agricultural use was classified as industrial use. In 1995 and earlier years, agricultural use was classified as commercial use. Sources: Electric Utilities: 1967-1977: Federal Power Commission (FPC). 1978-1993: Energy Information Administration (EIA), Form EIA-759, "Monthly Power Plant Report;" Federal Energy Regulatory Commission (FERC), Form FERC-423, "Cost and Quality of Fuels for Electric Utility Plants" and Form EIA-176, "Annual Report of Natural and Supple- mental Gas Supply and Disposition." All other data: 1967-1975: Bureau of Mines, Minerals Yearbook,

371

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

372

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

373

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

374

Development of an electrical impedance computed tomographic two-phase flows analyzer. Annual technical report for program renewal  

SciTech Connect (OSTI)

This progress report details the theoretical development, numerical results, experimental design (mechanical), experimental design (electronic), and experimental results for the research program for the development of an electrical impedance computed tomographic two-phase flow analyzer.

Jones, O.C.

1993-05-01T23:59:59.000Z

375

Household energy consumption and expenditures 1993  

SciTech Connect (OSTI)

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

376

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"

377

2014 Electricity Form Proposals  

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

Electricity and Renewable (Photovoltaic) Survey Form Changes Proposed for Electricity and Renewable (Photovoltaic) Survey Form Changes Proposed for 2014 The U.S. Energy Information Administration (EIA) is proposing changes to its electricity data collection in 2014. These changes involve the following surveys: Form EIA-63B, "Annual Photovoltaic Cell/Module Shipments Report," Form EIA-411, "Coordinated Bulk Power Supply Program Report," Form EIA-826, "Monthly Electric Utility Sales and Revenue Report with State Distributions," Form EIA-860, "Annual Electric Generator Report," Form EIA-860M, "Monthly Update to the Annual Electric Generator Report," Form EIA-861, "Annual Electric Power Industry Report," Form EIA-861S, "Annual Electric Power Industry Report (Short Form)," and

378

Energy Information Administration / Annual Energy Outlook 2011  

Gasoline and Diesel Fuel Update (EIA)

1 1 Table A5. Commercial Sector Key Indicators and Consumption (Quadrillion Btu per Year, Unless Otherwise Noted) Key Indicators and Consumption Reference Case Annual Grow th 2009-2035 (percent) 2008 2009 2015 2020 2025 2030 2035 Key Indicators Total Floorsp ace (billion sq uare feet) Surviving . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.4 77.9 83.4 89.3 95.1 101.1 107.3 1.2% New Additions . . . . . . . . . . . . . . . . . . . . . . . 2.4 2.3 2.0 2.2 2.3 2.4 2.5 0.4% Total . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.8 80.2 85.5 91.5 97.4 103.5 109.8 1.2% Energy Co nsum ption Intensity (thousand B tu per squa re foot) Delivered Energy Consumption . . . . . . . . . . 109.1 105.9 105.1 103.6 102.0 101.1 100.5 -0.2% Electricity Related Losses . . . . . . . . . . . . . . 125.0 120.6 116.2 117.0 117.7 118.2 118.3 -0.1% Total Energy Consumption . . . . . . . .

379

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

380

Annual Energy Outlook with Projections to 2025 - Market Trends- Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Demand and Supply Natural Gas Demand and Supply Annual Energy Outlook 2005 Market Trends - Natural Gas Demand and Supply Figure 82. Natural gas consumption by sector, 1990-2025 (trillion cubic feet). Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure data Figure 83. Natural gas production by source, 1990-2025 (trillion cubic feet). Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure data Projected Increases in Natural Gas Use Are Led by Electricity Generators In the AEO2005 reference case, total natural gas consumption increases from 22.0 trillion cubic feet in 2003 to 30.7 trillion cubic feet in 2025. In the electric power sector, natural gas consumption increases from 5.0 trillion cubic feet in 2003 to 9.4 trillion cubic feet in 2025 (Figure 82),

Note: This page contains sample records for the topic "annual 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

electricity.pdf  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

382

Electricity Monthly Update  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

383

Annual Logging Symposium, June 21-24, 2009 TIME-LAPSE VARIATIONS OF MULTI-COMPONENT ELECTRICAL  

E-Print Network [OSTI]

conditions at impermeable shale boundaries cause high local concentration of mud- filtrate. These effects can in the estimation of anisotropic electrical conductivity. It is imperative that 3D effects be diagnosed. INTRODUCTION Laminated sand-shale sequences in deepwater turbidite reservoirs hold a significant amount

Torres-Verdín, Carlos

384

Annual Reports  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Occupational Radiation Exposure Occupational Radiation Exposure Home Welcome What's New Register Dose History Request Data File Submittal REMS Data Selection HSS Logo Annual Reports User Survey on the Annual Report Please take the time to complete a survey on the Annual Report. Your input is important to us! The 2012 Annual Report View or print the annual report in PDF format The 2011 Annual Report View or print the annual report in PDF format The 2010 Annual Report View or print the annual report in PDF format The 2009 Annual Report View or print the annual report in PDF format The 2008 Annual Report View or print the annual report in PDF format The 2007 Annual Report View or print the annual report in PDF format The 2006 Annual Report View or print the annual report in PDF format The 2005 Annual Report

385

Benchmarking and Equipment and Controls Assessment for a 'Big Box' Retail Chain  

E-Print Network [OSTI]

annual results for electricity consumption and peak demandTampa Average Electricity Consumption, Annual Normalizeddifferences in electricity consumption. The Total Source

Haves, Philip

2008-01-01T23:59:59.000Z

386

Building Energy Monitoring and Analysis  

E-Print Network [OSTI]

Figure9?Annualelectricityconsumptioncomparisonofthetotalannualelectricityconsumption,BuildingsAandBmostly measure electricity consumption, cooling loads,

Hong, Tianzhen

2014-01-01T23:59:59.000Z

387

U.S. Energy Information Administration | Annual Coal Report 2012  

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

U.S. Coal Consumption by End Use Sector, Census Division, and State, 2012 and 2011 U.S. Coal Consumption by End Use Sector, Census Division, and State, 2012 and 2011 (thousand short tons) U.S. Energy Information Administration | Annual Coal Report 2012 Table 26. U.S. Coal Consumption by End Use Sector, Census Division, and State, 2012 and 2011 (thousand short tons) U.S. Energy Information Administration | Annual Coal Report 2012 2012 2011 Total Census Division and State Electric Power 1 Other Industrial Coke Commercial and Institutional Electric Power 1 Other Industrial Coke Commercial and Institutional 2012 2011 Percent Change New England 1,920 81 - - 3,025 w - - 2,001 w w Connecticut 415 - - - 325 - - - 415 325 27.5 Maine 32 w - - 38 w - - w w -16.4 Massachusetts 954 w - - 1,763 w - - w w -44.4 New Hampshire 520 - - - 898 - - - 520 898 -42.2 Middle Atlantic 44,838 2,440 w w 53,970 2,926 w w 52,750

388

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

389

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...

390

Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

11) | April 2011 11) | April 2011 with Projections to 2035 Annual Energy Outlook 2011 For further information . . . The Annual Energy Outlook 2011 was prepared by the U.S. Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.gov, 202-586-2222), Assistant Administrator of Energy Analysis; Paul D. Holtberg (paul.holtberg@eia.gov, 202/586-1284), Co-Acting Director, Office of Integrated and International Energy Analysis, and Team Leader, Analysis Integration Team; Joseph A. Beamon (joseph.beamon@eia.gov, 202/586-2025), Director, Office of Electricity, Coal, Nuclear, and Renewables Analysis; A. Michael Schaal (michael.schaal@eia.gov, 202/586-5590), Director, Office of Petroleum, Gas, and Biofuel Analysis;

391

Annual Reports  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Annual Reports science-innovationassetsimagesicon-science.jpg Annual Reports x Strategic Plan Annual Report - 2011 (pdf) Advancing Science for National Security See more Los...

392

2014 Electricity Form Proposals  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

electricity data collection in 2014 via the following survey forms: Form EIA-63B, "Annual Photovoltaic CellModule Shipments Report" Form EIA-411, "Coordinated Bulk Power Supply...

393

Electricity Monthly Update  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Wholesale Markets: October 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

394

Electricity Monthly Update  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Wholesale Markets: September 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

395

Electricity Monthly Update  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Wholesale Markets: August 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

396

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Wholesale Markets: February 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

397

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

398

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

399

Electricity savings potentials in the residential sector of Bahrain  

SciTech Connect (OSTI)

Electricity is the major fuel (over 99%) used in the residential, commercial, and industrial sectors in Bahrain. In 1992, the total annual electricity consumption in Bahrain was 3.45 terawatt-hours (TWh), of which 1.95 TWh (56%) was used in the residential sector, 0.89 TWh (26%) in the commercial sector, and 0.59 TWh (17%) in the industrial sector. Agricultural energy consumption was 0.02 TWh (less than 1%) of the total energy use. In Bahrain, most residences are air conditioned with window units. The air-conditioning electricity use is at least 50% of total annual residential use. The contribution of residential AC to the peak power consumption is even more significant, approaching 80% of residential peak power demand. Air-conditioning electricity use in the commercial sector is also significant, about 45% of the annual use and over 60% of peak power demand. This paper presents a cost/benefit analysis of energy-efficient technologies in the residential sector. Technologies studied include: energy-efficient air conditioners, insulating houses, improved infiltration, increasing thermostat settings, efficient refrigerators and freezers, efficient water heaters, efficient clothes washers, and compact fluorescent lights. We conservatively estimate a 32% savings in residential electricity use at an average cost of about 4 fils per kWh. (The subsidized cost of residential electricity is about 12 fils per kWh. 1000 fils = 1 Bahrain Dinar = US$ 2.67). We also discuss major policy options needed for implementation of energy-efficiency technologies.

Akbari, H. [Lawrence Berkeley National Lab., CA (United States); Morsy, M.G.; Al-Baharna, N.S. [Univ. of Bahrain, Manama (Bahrain)

1996-08-01T23:59:59.000Z

400

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,

Note: This page contains sample records for the topic "annual 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

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,

402

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

403

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.

404

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

405

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.

406

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...

407

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...

408

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...

409

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

410

EPRI-SCE testing and evaluation of electric vehicles: Lucas van and Jet 007, 750, and 1400. Annual report  

SciTech Connect (OSTI)

This report describes the second phase of the EPRI-SCE Electric Vehicle Project, in which four additional electric vehicles (EVs) were tested and evaluated: the Jet Industries Model 007 passenger car, Model 750 pickup truck, and Model 1400 passenger van; and the Lucas-Bedford Model CFE cargo van. During the first phase of this project, four EVs were also tested: Jet 500, Volkswagen Type 2, DAUG Type GM2, and Battronic Minivan. The project emphasizes road-testing of vehicles to acquire data on their useful driving range, performance, reliability, and driver acceptance in utility-fleet use. Each vehicle was driven more than 100 miles along SCE-selected test routes to determine the effects of different terrains (level, slight grades, and steep grades), traffic conditions (one-, two-, three-, and four-stops/mile and freeway), and payload. The vehicle component failures that occurred during testing are itemized and described briefly, and assessments are made of expected field reliability. Other vehicle characteristics and measurements of interest are presented. The data base on these test vehicles is intended to provide the reader an overview of the real world performance that can be expected from present-day state-of-the-art EVs.

Not Available

1981-02-01T23:59:59.000Z

411

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

412

International energy annual, 1989. [Contains glossary  

SciTech Connect (OSTI)

This report is prepared annually and presents the latest information and trends on world energy production, consumption, reserves, trade, and prices for five primary energy sources: petroleum, natural gas, coal, hydroelectricity, and nuclear electricity. It also presents information on petroleum products. Since the early 1980's the world's total output of primary energy has increased steadily. The annual average growth rate of energy production during the decade was 1.9 percent. Throughout the 1980's, petroleum was the world's most heavily used type of energy. In 1989, three countries--the United States, the USSR, and China--were the leading producers and consumers of world energy. Together, these countries consumed and produced almost 50 percent of the world's total energy. Global production and consumption of crude oil and natural gas liquids increased during the 1980's, despite a decline in total production and demand in the early part of the decade. World production of dry natural gas continued to rise steadily in the 1980's. For the last several years, China has been the leading producer of coal, followed by the United States. In 1989, hydroelectricity supply declined slightly from the upward trend of the last 10 years. Nuclear power generation rose slightly from the 1988 level, compared with the marked growth in earlier years. Prices for major crude oils all increased between 1988 and 1989, but remained well below the price levels at the beginning of the decade. 26 figs., 36 tabs.

Not Available

1991-02-01T23:59:59.000Z

413

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.

414

Electrical Safety - Monthly Analyses of Electrical Safety Occurrences  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Office of Analysis Office of Analysis Operating Experience Committee Safety Alerts Safety Bulletins Annual Reports Special Operations Reports Safety Advisories Special Reports Causal Analysis Reviews Contact Us HSS Logo Electrical Safety Monthly Analyses of Electrical Safety Occurrences 2013 September 2013 Electrical Safety Occurrences August 2013 Electrical Safety Occurrences July 2013 Electrical Safety Occurrences June 2013 Electrical Safety Occurrences May 2013 Electrical Safety Occurrences April 2013 Electrical Safety Occurrences March Electrical Safety Occurrence February Electrical Safety Occurrence January Electrical Safety Occurrence 2012 December Electrical Safety Occurrence November Electrical Safety Occurrence October Electrical Safety Occurrence September Electrical Safety Occurrence

415

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

416

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

417

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

418

Electricity Monthly Update - Energy Information Administration  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

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

419

Supplemental Tables to the Annual Energy Outlook 2003  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2003 Annual Energy Outlook 2003 Assumptions to the AEO2003 Nattional Energy Modeling System/Annual Energy Outlook 2003 Conference E-Mail Subscription Lists Forecasts Home Page Supplement Tables to the Annual Energy Outlook 2003 AEO Supplement Reference Case Forecast (2000-2025) - (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central)

420

Changes in Consumption by Alewives and Lake Whitefish after Dreissenid Mussel Invasions in Lakes Michigan and Huron  

E-Print Network [OSTI]

Changes in Consumption by Alewives and Lake Whitefish after Dreissenid Mussel Invasions in Lakes. Bioenergetics modeling was used to determine consumption by the average individual fish before and after. Annual consumption of zooplankton by an average alewife in Lake Michigan was 37% lower and consumption

Note: This page contains sample records for the topic "annual 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

EIA - Annual Energy Outlook 2008 - Issues in Focus  

Gasoline and Diesel Fuel Update (EIA)

Issues in Focus Issues in Focus Annual Energy Outlook 2008 with Projections to 2030 Issues in Focus Introduction Each year, this section of the AEO provides in-depth discussions on topics of special interest that may affect annual projections, including significant changes in assumptions and recent developments in technologies for energy production, supply, and consumption. In view of recent increases in construction costs, including the costs of constructing power plants, refineries, and other energy-related facilities, this year's topics include a discussion of cost trends and the implications for energy markets. Other issues discussed this year include the implications of increased reliance on natural gas in the electricity generation sector, warming weather trends and their effects on energy demand, LNG imports, and world oil prices and production trends.

422

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2004 with Projections to 2025 Forecast Comparisons Index (click to jump links) Economic Growth World Oil Prices Total Energy Consumption Electricity Natural Gas Petroleum Coal The AEO2004 forecast period extends through 2025. One other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a similar time horizon. Several others provide forecasts that address one or more aspects of energy markets over different time horizons. Recent projections from GII and others are compared here with the AEO2004 projections. Economic Growth Printer Friendly Version Average annual percentage growth Forecast 2002-2008 2002-2013 2002-2025 AEO2003 3.2 3.3 3.1 AEO2004 Reference 3.3 3.2 3.0

423

Annual Energy Outlook with Projections to 2025-Overview  

Gasoline and Diesel Fuel Update (EIA)

Overview Overview Annual Energy Outlook 2004 with Projections to 2025 Overview Index (click to jump links) Key Energy Issues to 2025 Economic Growth Energy Prices Energy Consumption Energy Intensity Electricity Generation Energy Production and Imports Carbon Dioxide Emissions Key Energy Issues to 2025 For almost 4 years, natural gas prices have remained at levels substantially higher than those of the 1990s. This has led to a reevaluation of expectations about future trends in natural gas markets, the economics of exploration and production, and the size of the natural gas resource. The Annual Energy Outlook 2004 (AEO2004) forecast reflects such revised expectations, projecting greater dependence on more costly alternative supplies of natural gas, such as imports of liquefied natural gas (LNG), with expansion of existing terminals and development of new facilities, and remote resources from Alaska and from the Mackenzie Delta in Canada, with completion of the Alaska Natural Gas Transportation System and the Mackenzie Delta pipeline.

424

2014 Annual Merit Review Results Report - Power Electronics and...  

Energy Savers [EERE]

Power Electronics and Electrical Machines Technologies 2014 Annual Merit Review Results Report - Power Electronics and Electrical Machines Technologies Merit review of DOE Vehicle...

425

Advanced Electric Drive Vehicle Education Program | Department...  

Broader source: Energy.gov (indexed) [DOE]

Advanced Electric Drive Vehicle Education Program Advanced Electric Drive Vehicle Education Program 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer...

426

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

427

Vehicle Technologies Office: Annual Progress Reports  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Annual Progress Reports Annual Progress Reports 2013 DOE Vehicle Technologies Office Annual Merit Review 2012 Advanced Combustion Engine Research and Development Advanced Power Electronics and Electric Motors DOE Vehicle Technologies Office Annual Merit Review Energy Storage Research and Development Fuel & Lubricant Technologies Lightweight Materials Propulsion Materials Vehicle and Systems Simulation and Testing 2011 Advanced Combustion Engine Research and Development Advanced Power Electronics and Electric Motors DOE Vehicle Technologies Office Annual Merit Review Energy Storage Research and Development Lightweighting Materials Propulsion Materials Vehicle and Systems Simulation and Testing 2010 Advanced Combustion Engine Research and Development Advanced Power Electronics and Electric Motors

428

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

SciTech Connect (OSTI)

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

Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah; Young, Scott

2014-12-01T23:59:59.000Z

429

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

430

Estimates of US biofuels consumption, 1990  

SciTech Connect (OSTI)

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

Not Available

1991-10-01T23:59:59.000Z

431

Analyzing the Impact of Useless Write-Backs on the Endurance and Energy Consumption of PCM  

E-Print Network [OSTI]

. With an estimated annual cost of 7.4 billion dollars for 2011, energy consumption has become a primary factorAnalyzing the Impact of Useless Write-Backs on the Endurance and Energy Consumption of PCM Main-effective and energy-efficient alternative to traditional DRAM main memory. Due to the high energy consumption

Zhang, Youtao

432

Residential Energy Consumption Survey (RECS) - Energy Information  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

433

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

434

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

435

" 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...

436

Learn More About the Fuel Economy Label for Electric Vehicles  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Electric Vehicles Electric Vehicles Learn More About the New Label Electric Vehicle Fuel Economy and Environment Label Vehicle Technology & Fuel Fuel Economy Comparing Fuel Economy to Other Vehicles You Save Fuel Consumption Rate Estimated Annual Fuel Cost Fuel Economy and Greenhouse Gas Rating CO2 Emissions Information Smog Rating Details in Fine Print QR Code Fueleconomy.gov Driving Range Charge Time 1. Vehicle Technology & Fuel The upper right corner of the label will display text and a related icon to identify it as a vehicle that is powered by electricity. You will see different text and icons on the labels for other vehicles: Gasoline Vehicle Diesel Vehicle Compressed Natural Gas Vehicle Hydrogen Fuel Cell Vehicle Flexible-Fuel Vehicle: Gasoline-Ethanol (E85)

437

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

438

Manufacturing consumption of energy 1994  

SciTech Connect (OSTI)

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

439

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

440

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

Note: This page contains sample records for the topic "annual 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

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

442

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

443

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

444

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...

445

OpenEI - Electricity Generation  

Open Energy Info (EERE)

Annual Electricity Annual Electricity Generation (1980 - 2009) http://en.openei.org/datasets/node/878 Total annual electricity generation by country, 1980 to 2009 (available in billion kilowatthours ). Compiled by Energy Information Administration (EIA).

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

446

Annual Energy Review, 1996  

Gasoline and Diesel Fuel Update (EIA)

The The Annual Energy Review (AER) is prepared by the Energy Information Administration. General information may be obtained from W. Calvin Kilgore, Director, Office of Energy Markets and End Use, 202-586-1617, or Katherine E. Seiferlein, Chief, Integrated Statistics Branch, 202-586-5695. Questions and comments concerning the contents of the AER may be referred to Samuel E. Brown, 202-586-5103; Leigh Carleton, 202-586-1132; or the following subject specialists via telephone or Internet e-mail: Contacts 1. Energy Overview . . . . . . . . . . . . . . . . . . . . . . Sam.Brown@eia.doe.gov 202-586-5103 Leigh.Carleton@eia.doe.gov 202-586-1132 2. End-Use Energy Consumption Manufacturing Energy Consumption Survey . . . . . . . Mark.Schipper@eia.doe.gov 202-586-1136 Residential Energy Consumption Survey . . . . . . . . Michael.Laurence@eia.doe.gov 202-586-2453 Residential Transportation Energy

447

Coal industry annual 1993  

SciTech Connect (OSTI)

Coal Industry Annual 1993 replaces the publication Coal Production (DOE/FIA-0125). This report presents additional tables and expanded versions of tables previously presented in Coal Production, including production, number of mines, Productivity, employment, productive capacity, and recoverable reserves. This report also presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for a wide audience including the Congress, Federal and State agencies, the coal industry, and the general public. In addition, Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility Power Producers who are not in the manufacturing, agriculture, mining, construction, or commercial sectors. This consumption is estimated to be 5 million short tons in 1993.

Not Available

1994-12-06T23:59:59.000Z

448

An International Survey of Electric Storage Tank Water Heater Efficiency and Standards  

SciTech Connect (OSTI)

Water heating is a main consumer of energy in households, especially in temperate and cold climates. In South Africa, where hot water is typically provided by electric resistance storage tank water heaters (geysers), water heating energy consumption exceeds cooking, refrigeration, and lighting to be the most consumptive single electric appliance in the home. A recent analysis for the Department of Trade and Industry (DTI) performed by the authors estimated that standing losses from electric geysers contributed over 1,000 kWh to the annual electricity bill for South African households that used them. In order to reduce this burden, the South African government is currently pursuing a programme of Energy Efficiency Standards and Labelling (EES&L) for electric appliances, including geysers. In addition, Eskom has a history of promoting heat pump water heaters (HPWH) through incentive programs, which can further reduce energy consumption. This paper provides a survey of international electric storage water heater test procedures and efficiency metrics which can serve as a reference for comparison with proposed geyser standards and ratings in South Africa. Additionally it provides a sample of efficiency technologies employed to improve the efficiency of electric storage water heaters, and outlines programs to promote adoption of improved efficiency. Finally, it surveys current programs used to promote HPWH and considers the potential for this technology to address peak demand more effectively than reduction of standby losses alone

Johnson, Alissa; Lutz, James; McNeil, Michael A.; Covary, Theo

2013-11-13T23:59:59.000Z

449

Annual Performance Report -2010 Water Use Efficiency  

E-Print Network [OSTI]

Consumption (AC) ­ Annual Volume 459,480,000Total Water Produced and Purchased (TP) ­ Annual Volume listed above, WSU total water produced was 459.5 million gallons which is 101.5 million gallons less than.2% of water produced. Customer (Demand Side) Goal Progress: Additional Information Regarding Supply and Demand

Collins, Gary S.

450

Annual Energy Review 1995  

Gasoline and Diesel Fuel Update (EIA)

4(95) 4(95) Distribution Category UC-950 Annual Energy Review 1995 July 1996 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Annual Energy Review 1995 The Annual Energy Review (AER) presents the Energy Information Ad- ministration's historical energy statistics. For most series, statistics are given for every year from 1949 through 1995. The statistics, expressed in either physical units or British thermal units, cover all major energy activities, including consumption, production, trade,

451

Annual Energy Outlook with Projections to 2025- Preface  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface Preface The Annual Energy Outlook 2004 (AEO2004) presents midterm forecasts of energy supply, demand, and prices through 2025 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA's National Energy Modeling System (NEMS). The report begins with an "Overview" summarizing the AEO2004 reference case. The next section, "Legislation and Regulations," discusses evolving legislation and regulatory issues. "Issues in Focus" includes discussions of future labor productivity growth; lower 48 natural gas depletion and productive capacity; natural gas supply options, with a focus on liquefied natural gas; natural gas demand for Canadian oil sands production; National Petroleum Council forecasts for natural gas; natural gas consumption in the industrial and electric power sectors; nuclear power plant construction costs; renewable electricity tax credits; and U.S. greenhouse gas intensity. It is followed by a discussion of "Energy Market Trends."

452

EIA - Assumptions to the Annual Energy Outlook 2009 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2009 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy.

453

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

454

Household Vehicles Energy Consumption 1991  

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

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

455

Household vehicles energy consumption 1991  

SciTech Connect (OSTI)

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

Not Available

1993-12-09T23:59:59.000Z

456

Manufacturing Consumption of Energy 1994  

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

Survey Design, Survey Design, Implementation, and Estimates 411 Energy Information Administration/Manufacturing Consumption of Energy 1994 Overview of Changes from Previous Surveys Sample Design. The MECS has increased its sample size by roughly 40 percent since the 1991 survey, increasing the designed sample size from 16,054 establishments to 22,922. This increase in size and change in sampling criteria required a departure from using the Annual Survey of Manufactures (ASM) as the MECS sampling frame. For 1994, establishments were selected directly from the 1992 Census of Manufactures (CM) mail file, updated by 1993 ASM. Sample Frame Coverage. The coverage in the 1994 MECS is 98 percent of the manufacturing population as measured in total payroll. The sampling process itself provided that level of coverage, and no special adjustments were

457

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).

458

EIA - Annual Energy Outlook 2009 - Comparison with Other Projections  

Gasoline and Diesel Fuel Update (EIA)

Comparison with Other Projections Comparison with Other Projections Annual Energy Outlook 2009 with Projections to 2030 Comparison with Other Projections Only IHS Global Insight (IHSGI) produces a comprehensive energy projection with a time horizon similar to that of AEO2009. Other organizations, however, address one or more aspects of the U.S. energy market. The most recent projection from IHSGI, as well as others that concentrate on economic growth, international oil prices, energy consumption, electricity, natural gas, petroleum, and coal, are compared here with the AEO2009 projections. Economic Growth Projections of the average annual real GDP growth rate for the United States from 2007 through 2010 range from 0.2 percent to 3.1 percent (Table 15). Real GDP grows at an annual rate of 0.6 percent in the AEO2009 reference case over the period, significantly lower than the projections made by the Office of Management and Budget (OMB), the Bureau of Labor Statistics (BLS), and the Social Security Administration (SSA)—although not all of those projections have been updated to take account of the current economic downturn. The AEO2009 projection is slightly lower than the projection by IHSGI and slightly higher than the projection by the Interindustry Forecasting Project at the University of Maryland (INFORUM). In March 2009, the consensus Blue Chip projection was for 2.2-percent average annual growth from 2007 to 2010.

459

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

460

Renewable Energy Annual  

Reports and Publications (EIA)

Presents five chapters covering various aspects of the renewable energy marketplace, along with detailed data tables and graphics. Particular focus is given to renewable energy trends in consumption and electricity; manufacturing activities of solar thermal collectors, solar photovoltaic cells/modules, and geothermal heat pumps; and green pricing and net metering programs. The Department of Energy provides detailed offshore

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "annual 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 A4. Residential sector key indicators and consumption  

Gasoline and Diesel Fuel Update (EIA)

3 3 U.S. Energy Information Administration | Annual Energy Outlook 2013 Reference case Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Energy Information Administration / Annual Energy Outlook 2013 Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Key indicators and consumption Reference case Annual growth 2011-2040 (percent) 2010 2011 2020 2025 2030 2035 2040 Key indicators Households (millions) Single-family ....................................................... 82.85 83.56 91.25 95.37 99.34 103.03 106.77 0.8% Multifamily ........................................................... 25.78 26.07 29.82 32.05 34.54 37.05 39.53 1.4%

462

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...

463

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

464

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 . .

465

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 . . . . . . . . . . . . . . . . . . . . . . . --

466

48th Annual Distinguished  

E-Print Network [OSTI]

Electrical Engineering Technology » 1993 Wade Smith Mechanical Engineering » 1989 Presentation respected international energy consultancy. Baker & O'Brien, Inc. currently has offices in Dallas, Houston48th Annual Distinguished Engineer Awards Luncheon Friday, April 11, 2014 11:15 a.m. Sunset

Gelfond, Michael

467

U.S. Energy Information Administration | Annual Energy Outlook Retrospective Review  

Gasoline and Diesel Fuel Update (EIA)

Retrospective Review Retrospective Review 4 Annual Energy Outlook Retrospective Review Table 1. Comparison of absolute percent difference between AEO reference case projections and related outcomes Variable All AEOs (AEO82 to AEO2010) NEMS AEOs (AEO94 to AEO2010) Gross Domestic Product Real Gross Domestic Product (Growth Rate)* 0.8 0.9 Petroleum World Oil Prices 49.9 31.4 Total Petroleum Consumption 4.1 4.3 Crude Oil Production 5.8 6.4 Petroleum Net Imports 6.0 7.3 Natural Gas Natural Gas Wellhead Prices 56.6 31.9 Total Natural Gas Consumption 7.3 7.4 Natural Gas Production 6.2 6.9 Natural Gas Net Imports 17.9 17.1 Coal Coal Prices to Electric Generating Plants** 43.1 19.5 Total Coal Consumption 4.9 6.0 Coal Production 4.8 4.5 Electricity Average Electricity Prices 19.7 12.0 Total Electricity Sales 3.0 3.8 Total Energy, Carbon and Intensity

468

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

469

Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US  

E-Print Network [OSTI]

Using random year-to-year variation in temperature, we document the relationship between daily temperatures and annual mortality rates and daily temperatures and annual residential energy consumption. Both relationships ...

Greenstone, Michael

470

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

471

Annual Energy Review 2011 - Released September 2012  

Gasoline and Diesel Fuel Update (EIA)

N F = = | = = p e p t e m e r = O M N O N F = = | = = p e p t e m e r = O M N O w w w K e i ~ K g o v L ~ e r A n n u a l E n e r g y R e v i e w 2 0 1 1 The Annual Energy Review (AER) is the U.S. Energy Information Administration's (EIA) primary report of annual historical energy statistics. For many series, data begin with the year 1949. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, and renewable energy; financial and environment indi- cators; and data unit conversions. Publication of this report is required under Public Law 95-91 (Department of Energy Organization Act), Section 205(c), and is in keeping with responsibilities given to the EIA under Section 205(a)(2), which states:

472

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

473

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

474

Energy consumption and financial development in Sub-Saharan Africa: a panel econometric analysis  

Science Journals Connector (OSTI)

This paper investigated the energy consumption-financial development linkage for Sub-Saharan Africa (SSA). Annual data for 26 countries spanning the period 1996 to 2009 was used to elicit answers on the questions of interest. This is the first attempt, as far as we are aware, at examining the linkage between shocks to and response of the energy and financial markets of SSA economies. Recent panel causality techniques are deployed to probe causal orderings both in the short- and long-run. The results suggest that regardless of the financial development measure, there is weak evidence for short-run causality. Contrariwise, there appears to be ample evidence in support of long-run causality particularly flowing from private sector credit as a share of GDP to total energy consumption. For electricity consumption, there is short-run and long-run causality from private sector credit to GDP ratio. In sum, these plausibly imply that a deeper financial system effectively allocates resources to the private sector enabling a scaling up in operations and by extension higher energy requirements.

Kazeem Ajide; William Bekoe; Jameelah Yaqub; Oluwatosin Adeniyi

2013-01-01T23:59:59.000Z

475

AEO2011: Renewable Energy Generation by Fuel - Western Electricity  

Open Energy Info (EERE)

Southwest Southwest 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 116, and contains only the reference case. The dataset uses gigawatts, billion kilowatthours and quadrillion Btu. The data is broken down into generating capacity, electricity generation and energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Renewable Energy Generation Southwest Western Electricity Coordinating Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generation by Fuel - Western Electricity Coordinating Council / Southwest (xls, 119.1 KiB) Quality Metrics Level of Review Peer Reviewed

476

AEO2011: Electricity Generating Capacity | OpenEI  

Open Energy Info (EERE)

Generating Capacity Generating Capacity 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 9, and contains only the reference case. The dataset uses gigawatts. The data is broken down into power only, combined heat and power, cumulative planned additions, cumulative unplanned conditions, and cumulative retirements and total electric power sector capacity . Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO capacity consumption EIA Electricity generating Data application/vnd.ms-excel icon AEO2011: Electricity Generating Capacity- Reference Case (xls, 130.1 KiB) Quality Metrics Level of Review Peer Reviewed

477

AEO2011: Renewable Energy Generation by Fuel - Western Electricity  

Open Energy Info (EERE)

Northwest Power Pool Area Northwest Power Pool Area 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 118, and contains only the reference case. The dataset uses gigawatts, billion kilowatthours and quadrillion Btu. The data is broken down into generating capacity, electricity generation and energy consumption. This dataset contains data for the northwest power pool area of the U.S. Western Electricity Coordinating Council (WECC). Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Northwest Power Pool Area Renewable Energy Generation WECC Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generation by Fuel - Western Electricity Coordinating Council / Northwest Power Pool Area - Reference (xls, 119.3 KiB)

478

AEO2011: Renewable Energy Generation by Fuel - Western Electricity  

Open Energy Info (EERE)

California California 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 117, and contains only the reference case. The dataset uses gigawatts, billion kilowatthours and quadrillion Btu. The data is broken down into generating capacity, electricity generation and energy consumption. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO California EIA Renewable Energy Generation Western Electricity Coordinating Data application/vnd.ms-excel icon AEO2011: Renewable Energy Generation by Fuel - Western Electricity Coordinating Council / California (xls, 119.2 KiB) Quality Metrics Level of Review Peer Reviewed

479

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

480

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

Note: This page contains sample records for the topic "annual 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.


481

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

482

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

483

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

484

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

485

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

486

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.

487

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

488

Electric Power Monthly  

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

Annual Annual Technical Notes This appendix describes how the U.S. Energy Information Administration collects, estimates, and reports electric power data in the Electric Power Annual. Data Quality and Submission The Electric Power Annual (EPA) is prepared by the Office of Electricity, Renewables, and Uranium Statistics (ERUS), U.S. Energy Information Administration (EIA), U.S. Department of Energy (DOE). ERUS performs routine reviews of the data collection respondent frames, survey forms, and reviews the quality of the data received. Data are entered directly by respondents into the ERUS Internet Data Collection (IDC) system. A small number of hard copy forms are keyed into the system by ERUS personnel. All data are subject to review via interactive edits built into the IDC system, internal quality assurance reports, and review by ERUS

489

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.

490

Decomposition analysis of CO2 emissions from electricity generation in China  

Science Journals Connector (OSTI)

Electricity generation in China mainly depends on coal and its products, which has led to the increase in CO2 emissions. This paper intends to analyze the current status of CO2 emissions from electricity generation in China during the period 19912009, and apply the logarithmic mean Divisia index (LMDI) technique to find the nature of the factors influencing the changes in CO2 emissions. The main results as follows: (1) CO2 emission from electricity generation has increased from 530.96Mt in 1991 to 2393.02Mt in 2009, following an annual growth rate of 8.72%. Coal products is the main fuel type for thermal power generation, which accounts for more than 90% CO2 emissions from electricity generation. (2) This paper also presents CO2 emissions factor of electricity consumption, which help calculate CO2 emission from final electricity consumption. (3) In China, the economic activity effect is the most important contributor to increase CO2 emissions from electricity generation, but the electricity generation efficiency effect plays the dominant role in decreasing CO2 emissions.

Ming Zhang; Xiao Liu; Wenwen Wang; Min Zhou

2013-01-01T23:59:59.000Z

491

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

492

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

493

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 ..........

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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

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California DREAMing: the design of residential demand responsive technology with people in mind  

E-Print Network [OSTI]

2006b). Total U.S. Electricity Consumption Growth. fromprograms to reduce electricity consumption during peakof annual electricity consumption in households in five CEC

Peffer, Therese E.

2009-01-01T23:59:59.000Z

496

California Energy Demand Scenario Projections to 2050  

E-Print Network [OSTI]

annual per-capita electricity consumption by demand15 California electricity consumption projections by demandannual per-capita electricity consumption by demand

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

497

Assessment of the Impacts of Standards and Labeling Programs in Mexico (four products).  

E-Print Network [OSTI]

in terms of consumer electricity consumption. This is due toDemand Reduction El