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


1

MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR  

E-Print Network (OSTI)

-2010). Our study has two components: a historical analysis of miscellaneous electricity use (1976- 1995 consumption increased at an annual rate of 4.6%. In 1995, miscellaneous electricity consumption totaled 235LBNL-40295 UC-1600 MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR M. C. Sanchez, J. G

2

Analysis and Representation of Miscellaneous Electric Loads in NEMS -  

Gasoline and Diesel Fuel Update (EIA)

Analysis and Representation of Miscellaneous Electric Loads in NEMS Analysis and Representation of Miscellaneous Electric Loads in NEMS Release date: January 6, 2014 Miscellaneous Electric Loads (MELs) comprise a growing portion of delivered energy consumption in residential and commercial buildings. Recently, the growth of MELs has offset some of the efficiency gains made through technology improvements and standards in major end uses such as space conditioning, lighting, and water heating. Miscellaneous end uses, including televisions, personal computers, security systems, data center servers, and many other devices, have continued to penetrate into building-related market segments. Part of this proliferation of devices and equipment can be attributed to increased service demand for entertainment, computing, and convenience appliances.

3

Miscellaneous electricity use in U.S. homes  

E-Print Network (OSTI)

1998. Miscellaneous electricity use in the U.S. residentialMiscellaneous Uses of Electricity in Homes'. Presented atThe Latest In "Leaking Electricity" in Homes. Davis Energy

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

4

Miscellaneous electricity use in U.S. homes  

SciTech Connect

Historically, residential energy and carbon saving efforts have targeted conventional end uses such as water heating, lighting and refrigeration. The emergence of new household appliances has transformed energy use from a few large and easily identifiable end uses into a broad array of ''miscellaneous'' energy services. This group of so called miscellaneous appliances has been a major contributor to growth in electricity demand in the past two decades. We use industry shipment data, lifetimes, and wattage and usage estimates of over 90 individual products to construct a bottom-up end use model (1976-2010). The model is then used to analyze historical and forecasted growth trends, and to identify the largest individual products within the miscellaneous end use. We also use the end use model to identify and analyze policy priorities. Our forecast projects that over the period 1996 to 2010, miscellaneous consumption will increase 115 TWh, accounting for over 90 percent of future residential electricity growth. A large portion of this growth will be due to halogen torchiere lamps and consumer electronics, making these two components of miscellaneous electricity a particularly fertile area for efficiency programs. Approximately 20 percent (40 TWh) of residential miscellaneous electricity is ''leaking electricity'' or energy consumed by appliances when they are not performing their principal function. If the standby power of all appliances with a standby mode is reduced to one watt, the potential energy savings equal 21 TWh/yr, saving roughly $1-2 billion annually.

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-09-30T23:59:59.000Z

5

Miscellaneous electricity use in U.S. homes  

E-Print Network (OSTI)

Huber, Wolfgang. (1997), Standby Power Consumption in U.S.of Technical Potential Standby Power in Miscellaneous Endprincipal function. If the standby power of all appliances

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

6

Miscellaneous Electricity Services in the Buildings Sector (released in AEO2007)  

Reports and Publications (EIA)

Residential and commercial electricity consumption for miscellaneous services has grown significantly in recent years and currently accounts for more electricity use than any single major end-use service in either sector (including space heating, space cooling, water heating, and lighting). In the residential sector, a proliferation of consumer electronics and information technology equipment has driven much of the growth. In the commercial sector, telecommunications and network equipment and new advances in medical imaging have contributed to recent growth in miscellaneous electricity use

Information Center

2007-03-11T23:59:59.000Z

7

Miscellaneous electricity use in U.S. homes  

E-Print Network (OSTI)

future residential electricity growth. Low growth rates forrate of 2.7%, accounting for over 90% of future residential electricityresidential end uses. From 1976-1995, miscellaneous electricity increased at an annual rate

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

8

Assessing and Reducing Miscellaneous Electric Loads (MELs) in Lodging  

SciTech Connect

Miscellaneous electric loads (MELs) are the loads outside of a building's core functions of heating, ventilating, air conditioning, lighting, and water heating. This report reviews methods to reduce MELs in lodging.

Rauch, Emily M.

2011-09-01T23:59:59.000Z

9

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

E-Print Network (OSTI)

online: www.eia.doe.gov/cneaf/electricity/esr/esr_sum.html.Miscellaneous Equipment Electricity Use in New Homes RichardMiscellaneous Equipment Electricity Use in New Homes Richard

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

2007-01-01T23:59:59.000Z

10

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

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

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

11

Building America System Research Plan for Reduction of Miscellaneous Electrical Loads in Zero Energy Homes  

SciTech Connect

This research plan describes the overall scope of system research that is needed to reduce miscellaneous electrical loads (MEL) in future net zero energy homes.

Barley, C. D.; Haley, C.; Anderson, R.; Pratsch, L.

2008-11-01T23:59:59.000Z

12

Assessing and Reducing Miscellaneous Electric Loads (MELs) in Banks  

Science Conference Proceedings (OSTI)

Miscellaneous electric loads (MELs) are loads outside of a building's core functions of heating, ventilating, air conditioning, lighting, and water heating. MELs are a large percentage of total building energy loads. This report reviews methods for reducing MELs in Banks. Reducing MELs in a bank setting requires both local and corporate action. Corporate action centers on activities to prioritize and allocate the right resources to correct procurement and central control issues. Local action includes branch assessment or audits to identify specific loads and needs. The worksheet at the end of this guide can help with cataloging needed information and estimating savings potential. The following steps provide a guide to MEL reductions in Bank Branches. The general process has been adapted from a process developed for office buildings the National Renewable Energy Laboratory (NREL, 2011).

Rauch, Emily M.

2012-09-01T23:59:59.000Z

13

Miscellaneous electricity use in U.S. homes  

E-Print Network (OSTI)

1996). 4. National appliance energy consumption is thethe sum of the national appliance energy consumption for all

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

14

Electrical appliance energy consumption control methods and ...  

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy ...

15

Whole-house measurements of standby power consumption  

E-Print Network (OSTI)

Whole-House Measurements of Standby Power Consumption" InStudy on Miscellaneous Standby Consumption of HouseholdA. , Murakoshi, C. 1997. Standby Electricity Consumption in

Ross, J.P.; Meier, Alan

2000-01-01T23:59:59.000Z

16

Miscellaneous equipment in commercial buildings: The inventory, utilization, and consumption by equipment type  

SciTech Connect

The nature of the miscellaneous equipment (devices other than permanently installed lighting and those used for space conditioning) in commercial buildings is diverse, comprising a wide variety of devices that are subject to varied patterns of use. This portion of the commercial load is frequently underestimated, and widely hypothesized to be growing. These properties make it a particularly difficult load to characterize for purposes of demand-side management. In the End-Use Load and Consumer Assessment Program (ELCAP), over 100 commercial sites in the Pacific Northwest have been metered at the end-use level for several years. Detailed inspections of the equipment in them have also been conducted. This paper describes how the ELCAP data have been used to estimate three fundamental properties of the various types of equipment in several classes of commercial buildings: (1) the installed capacity per unit floor area, (2) utilization of the equipment relative to the installed capacity, and (3) the resulting energy consumption by building type and for the Pacific Northwest commercial sector as a whole. Applications for the results include assessment of conservation potential, prediction of equipment loads from survey data, estimating equipment loads for energy audits, targeting of conservation technology development, and disaggregating building total or mixed end-use data. 4 tabs., refs.

Pratt, R.G.; Williamson, M.A.; Richman, E.E.

1990-09-01T23:59:59.000Z

17

Reducing Leaking Electricity to 1 Watt  

E-Print Network (OSTI)

England. Huber, W. 1997. "Standby Power Consumption in U.S.1997. "Study on miscellaneous standby power consumption ofC. Murakoshi. 1997. " Standby Electricity Consumption in

Meier, A.K.; Huber, Wolfgang; Rosen, Karen

1998-01-01T23:59:59.000Z

18

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

19

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

20

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

E-Print Network (OSTI)

62440 Appliances, Lighting, Electronics, and Miscellaneousof California. Appliances, Lighting, Electronics, anduses (appliances, lighting, electronics, and miscellaneous

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

2007-01-01T23:59:59.000Z

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

Appliances, Lighting, Electronics, and Miscellaneous Equipment...  

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

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

22

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

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

a. Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption...

23

Electrical appliance energy consumption control methods and electrical energy consumption systems  

DOE Patents (OSTI)

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

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

2008-09-02T23:59:59.000Z

24

Electrical appliance energy consumption control methods and electrical energy consumption systems  

DOE Patents (OSTI)

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

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

2006-03-07T23:59:59.000Z

25

Annual Electricity Consumption (1980 - 2009) Total annual electricity  

Open Energy Info (EERE)

Consumption (1980 - 2009) Total annual electricity consumption by country, 1980 to 2009 (billion kilowatthours). Compiled by Energy Information Administration (EIA).
...

26

Development of an Energy-Savings Calculation Methodology for Residential Miscellaneous Electric Loads: Preprint  

SciTech Connect

In order to meet whole-house energy savings targets beyond 50% in residential buildings, it will be essential that new technologies and systems approaches be developed to address miscellaneous electric loads (MELs). These MELs are comprised of the small and diverse collection of energy-consuming devices found in homes, including what are commonly known as plug loads (televisions, stereos, microwaves), along with all hard-wired loads that do not fit into other major end-use categories (doorbells, security systems, garage door openers). MELs present special challenges because their purchase and operation are largely under the control of the occupants. If no steps are taken to address MELs, they can constitute 40-50% of the remaining source energy use in homes that achieve 60-70% whole-house energy savings, and this percentage is likely to increase in the future as home electronics become even more sophisticated and their use becomes more widespread. Building America (BA), a U.S. Department of Energy research program that targets 50% energy savings by 2015 and 90% savings by 2025, has begun to identify and develop advanced solutions that can reduce MELs.

Hendron, R.; Eastment, M.

2006-08-01T23:59:59.000Z

27

Renewable Energy Consumption and Electricity Preliminary ...  

U.S. Energy Information Administration (EIA)

Renewable Energy Consumption and Electricity Preliminary Statistics 2010 June 2011 ... and Job Creation Act of 2010 (H.R. 4853) was signed in December

28

California Energy Commission - Electricity Consumption by Utility  

Open Energy Info (EERE)

Utility (1990-2009) Electricity consumption by Utility company for Commercial, Residential, Ag & Water Pump, Streetlight, Industry, Mining & Construction and Total...

29

California Energy Commission - Electricity Consumption by Planning...  

Open Energy Info (EERE)

Planning Area (1990-2009) Electricity consumption data from the California Energy Commission by planning area for Commercial, Residential, Ag & Water Pump, Streetlight,...

30

Appliances, Lighting, Electronics, and Miscellaneous EquipmentElectricity Use in New Homes  

SciTech Connect

The "Other" end-uses (appliances, lighting, electronics, andmiscellaneous equipment) continue to grow. This is particularly true innew homes, where increasing floor area and amenities are leading tohigher saturation of these types of devices. This paper combines thefindings of several field studies to assess the current state ofknowledge about the "Other" end-uses in new homes. The field studiesinclude sub-metered measurements of occupied houses in Arizona, Florida,and Colorado, as well as device-level surveys and power measurements inunoccupied new homes. We find that appliances, lighting, electronics, andmiscellaneous equipment can consume from 46 percent to 88 percent ofwhole-house electricity use in current low-energy homes. Moreover, theannual consumption for the "Other" end-uses is not significantly lower innew homes (even those designed for low energy use) compared to existinghomes. The device-level surveys show that builder-installed equipment isa significant contributor to annual electricity consumption, and certaindevices that are becoming more common in new homes, such as structuredwiring systems, contribute significantly to this power consumption. Thesefindings suggest that energy consumption by these "Other" end uses isstill too large to allow cost-effective zero-energy homes.

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

2007-02-28T23:59:59.000Z

31

Trends in Renewable Energy Consumption and Electricity  

Reports and Publications (EIA)

Presents a summary of the nation’s 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.

2012-12-11T23:59:59.000Z

32

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

E-Print Network (OSTI)

Model Home Devices and Low-Power Consumption Total Low-plug-in devices to measure their power consumption in low-their low-power consumption. Several devices show higher

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

2007-01-01T23:59:59.000Z

33

California Energy Commission - Electricity Consumption by County  

Open Energy Info (EERE)

County (2006-2009) Electricity consumption data from the California Energy Commission sorted by County for Residential and Non-residential from 2006 to 2009.


...

34

Industrial Biomass Energy Consumption and Electricity Net Generation...  

Open Energy Info (EERE)

Industrial Biomass Energy Consumption and Electricity Net Generation by Industry and Energy Source, 2008 Biomass energy consumption and electricity net generation in the industrial...

35

Annual Renewable Electricity Consumption by Country (2005 - 2009...  

Open Energy Info (EERE)

Renewable Electricity Consumption by Country (2005 - 2009) Total annual renewable electricity consumption by country, 2005 to 2009 (available in Billion Kilowatt-hours or as...

36

Electricity Generation and Consumption by State (2008 ) Provides...  

Open Energy Info (EERE)

Electricity Generation and Consumption by State (2008 ) Provides total annual electricity consumption by sector (residential, commercial and industrial) for all states in 2008,...

37

Evaluation of Miscellaneous and Electronic Device Energy Use...  

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

loads, energy utilisation intensity, healthcare facilities, hospital energy use, energy consumption. Abstract Miscellaneous and electronic loads (MELs) consume about...

38

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

39

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

40

Miscellaneous Properties  

Science Conference Proceedings (OSTI)

Table 24   Room temperature values of miscellaneous properties of beryllium...10 -6 (diamagnetic) Photoelectric work function, eV 3.92 Electron work function (polycrystal), eV 4.98 (depends on surface cleanliness) Ionization potential for neutral atom, eV 9.3227 Electron-binding energy for 1s (K) level, eV 111.5 Source: Ref 1 , 4 , 11 , 32...

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

Electrical energy consumption control apparatuses and electrical energy consumption control methods  

DOE Patents (OSTI)

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

Hammerstrom, Donald J.

2012-09-04T23:59:59.000Z

42

How much of world energy consumption and electricity generation is ...  

U.S. Energy Information Administration (EIA)

How much of world energy consumption and electricity generation is from renewable energy? EIA estimates that about 10% of world marketed energy consumption is from ...

43

Purifying mixed-use electrical consumption data  

SciTech Connect

This paper describes several analytical techniques for obtaining pure end-use load information from mixed end-use consumption data. This process is frequently necessary to make metered data useful to those involved in electric utility load forecasting and conservation assessment. Analyses based on traditional thermal models can be greatly augmented by these data sets if the measured entities correspond to those for which modeled estimates are necessary. We present two scenarios in which greater end-use resolution was needed than was available in existing data. The first involves segregating measured total HVAC consumption data into its heating, cooling, and ventilation constituents. The second discusses a technique to separate measurements of mixed equipment consumption into equipment type categories. These techniques were successfully applied to a large number of metered commercial buildings. We conclude with suggestions for extending these techniques to applications involving high-time-resolution building total data. 3 refs., 8 figs.

Taylor, Z.T.; Pratt, R.G.

1990-09-01T23:59:59.000Z

44

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

E-Print Network (OSTI)

monitoring or device-level metering. Whole-house and “major”study involves long-term metering of electrical consumptionwhole-house level and sub-metering of select “major” end-

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

2007-01-01T23:59:59.000Z

45

Artificial neural networks for electricity consumption forecasting considering climatic factors  

Science Conference Proceedings (OSTI)

This work develops Artificial Neural Networks (ANN) models applied to predict the consumption forecasting considering climatic factors. It is intended to verify the influence of climatic factors on the electricity consumption forecasting through the ... Keywords: artificial neural networks, electricity consumption forecasting

Francisco David Moya Chaves

2010-06-01T23:59:59.000Z

46

Modeling the Impact of Summer Temperatures on National Electricity Consumption  

Science Conference Proceedings (OSTI)

National population-weighted weekly degree day totals, which have been used to model and assess temperature-related natural gas consumption, are compared with summertime electricity consumption. A very close relationship between national cooling ...

Douglas M. Le Comte; Henry E. Warren

1981-12-01T23:59:59.000Z

47

Broad Initiatives/Sharp Focus- Cuts Electricity Consumption 15%  

E-Print Network (OSTI)

Analysis of electrical consumption can payout in reduced energy costs. Continuous monitoring of electrical usage coupled with improvements and optimization in system(s) operations can have a favorable impact on annual operating expenditures. Further, participation in local utility rebate programs to reduce electrical consumption will enhance funding of energy efficient programs.

Gialanella, V.

1998-04-01T23:59:59.000Z

48

Commercial Building Electricity Consumption: The Role of Structure...  

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

Commercial Building Electricity Consumption: The Role of Structure Quality, Management, and Contract Incentives Secondary menu About us Press room Contact Us Portfolio Manager...

49

2001 Consumption and Expenditures -- Electric Air-Conditioning ...  

U.S. Energy Information Administration (EIA)

CE3-1c. Electric Air-Conditioning Energy Consumption in U.S. Households by Climate Zone, 2001 : 2: CE3-2c. ...

50

How much of world energy consumption and electricity ...  

U.S. Energy Information Administration (EIA)

How much of world energy consumption and electricity generation is from renewable energy? EIA estimates that about 10% of world marketed energy ...

51

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.

52

World Net Electricity Consumption, by Region, 1990-2020  

U.S. Energy Information Administration (EIA)

Electricity consumption worldwide increases by 76 percent in the reference case, from 12 trillion kilowatthours in 1997 to 22 trillion kilowatthours in 2020.

53

UK Electricity Consumption at LLSOA level (2007 - 2008)  

Open Energy Info (EERE)

Change (DECC) released experimental statistics on domestic electricity and gas consumption (and number of meters) at the Lower Layer Super Output Authority level (LLSOA) for...

54

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

E-Print Network (OSTI)

comparison between electricity consumption and behavioralK. 2013. “Domestic energy consumption-What role do comfort,residential electricity consumption” Energy Policy, 42(2012)

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

55

TRENDS IN ELECTRICITY CONSUMPTION, PEAK DEMAND, AND GENERATING CAPACITY IN  

E-Print Network (OSTI)

relative to increases in its consumption at a higher rate than all but two states (in part because California is the lowest user of electricity per capita and per dollar of gross state product in the west). Annual WSCC consumption increased 64% from 1977 to 1998, but California's consumption grew by only 44

California at Berkeley. University of

56

Fuzzy wavelet neural network for prediction of electricity consumption  

Science Conference Proceedings (OSTI)

The development of a fuzzy wavelet neural network (FWNN) for the prediction of electricity consumption is presented. The fuzzy rules that contain wavelets are constructed. Based on these rules, the structure of FWNN-based system is described. The FWNN ... Keywords: Fuzzy Wavelet Neural Network, Neurofuzzy Modeling, Prediction of Electricity Consumption, Time Series Prediction, Wavelet Network

Rahib h. Abiyev

2009-05-01T23:59:59.000Z

57

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

58

The dubuque electricity portal: evaluation of a city-scale residential electricity consumption feedback system  

Science Conference Proceedings (OSTI)

This paper describes the Dubuque Electricity Portal, a city-scale system aimed at supporting voluntary reductions of electricity consumption. The Portal provided each household with fine-grained feedback on its electricity use, as well as using incentives, ... Keywords: behavior change, consumption feedback systems, ecf, electricity, smart meters, social comparison, sustainability

Thomas Erickson; Ming Li; Younghun Kim; Ajay Deshpande; Sambit Sahu; Tian Chao; Piyawadee Sukaviriya; Milind Naphade

2013-04-01T23:59:59.000Z

59

ELECTRICITY CONSUMPTION TO INFORM DATA-DRIVEN ENERGY EFFICIENCY  

E-Print Network (OSTI)

Abstract. Effective demand-side energy efficiency policies are needed to reduce residential electricity consumption and its harmful effects on the environment. The first step to devise such polices is to quantify the potential for energy efficiency by analyzing the factors that impact consumption. This paper proposes a novel approach to analyze large data sets of residential electricity consumption to derive insights for policy making and energy efficiency programming. In this method, underlying behavioral determinants that impact residential electricity consumption are identified using Factor Analysis. A distinction is made between long-term and short-term determinants of consumption by developing separate models for daily maximum and daily minimum consumption and analyzing their differences. Finally, the set of determinants are ranked by their impact on electricity consumption, using a stepwise regression model. This approach is then applied on a large data set of smart meter data and household information as a case example. The results of the models show that weather, location, floor area, and number of refrigerators are the most significant determinants of daily minimum (or idle) electricity consumption in residential buildings,

Amir Kavousian; Ram Rajagopal; Martin Fischer; Amir Kavousian; Ram Rajagopal; Martin Fischer

2012-01-01T23:59:59.000Z

60

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

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

Optimization of Electric Energy Consumption in Marginal California Oilfields  

Science Conference Proceedings (OSTI)

This report documents a pilot study of electricity consumption in California oilfields that found significant potential for reducing costs through energy efficiency improvements. It offers suggestions for reducing electricity consumption that, if implemented, could result in a system-wide demand reduction and reduce the need for additional generation and power infrastructure capacity. Moreover, reducing oilfield energy costs would reduce the overall cost of oil production, helping marginal wells remain a...

2003-01-17T23:59:59.000Z

62

Smart Metering for Smart Electricity Consumption.  

E-Print Network (OSTI)

??In recent years, the demand for electricity has increased in households with the use of different appliances. This raises a concern to many developed and… (more)

Vadda, Praveen

2013-01-01T23:59:59.000Z

63

Electric Power Consumption of Natural Gas (Summary)  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated ... Gas volumes delivered for use as vehicle fuel are included in the State annual totals through 2010 but not in ...

64

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)

65

Electric Energy and Power Consumption by Light-Duty Plug-in Electric Vehicles  

E-Print Network (OSTI)

.S. roads alone by 2015. PEVs-- either plug-in hybrid electric vehicles (PHEVs) or pure electric vehicles (EVs)--adopt similar drivetrain configurations as hybrid electric vehicles (HEVs) [21 Electric Energy and Power Consumption by Light-Duty Plug-in Electric Vehicles Di Wu, Student

Tesfatsion, Leigh

66

Table 11.5c Emissions From Energy Consumption for Electricity ...  

U.S. Energy Information Administration (EIA)

Notes: · Data are for emissions from energy consumption for electricity generation and useful thermal output.

67

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.

68

Lifestyle Factors in U.S. Residential Electricity Consumption  

Science Conference Proceedings (OSTI)

A multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated. Factor analysis of selected variables from the 2005 U.S. Residential Energy Consumption Survey (RECS) identified five lifestyle factors reflecting social and behavioral choices associated with air conditioning, laundry usage, personal computer usage, climate zone of residence, and TV use. These factors were also estimated for 2001 RECS data. Multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40% of the variance in electricity consumption for both years. By adding the associated household and market characteristics of income, local electricity price and access to natural gas, variance accounted for is increased to approximately 54%. Income contributed only {approx}1% unique variance to the 2005 and 2001 models, indicating that lifestyle factors reflecting social and behavioral choices better account for consumption differences than income. This was not surprising given the 4-fold range of energy use at differing income levels. Geographic segmentation of factor scores is illustrated, and shows distinct clusters of consumption and lifestyle factors, particularly in suburban locations. The implications for tailored policy and planning interventions are discussed in relation to lifestyle issues.

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

2012-03-30T23:59:59.000Z

69

Environmental effects of interstate power trading on electricity consumption mixes  

SciTech Connect

Although many studies of electricity generation use national or state average generation mix assumptions, in reality a great deal of electricity is transferred between states with very different mixes of fossil and renewable fuels, and using the average numbers could result in incorrect conclusions in these studies. The authors create electricity consumption profiles for each state and for key industry sectors in the U.S. based on existing state generation profiles, net state power imports, industry presence by state, and an optimization model to estimate interstate electricity trading. Using these 'consumption mixes' can provide a more accurate assessment of electricity use in life-cycle analyses. It is concluded that the published generation mixes for states that import power are misleading, since the power consumed in-state has a different makeup than the power that was generated. And, while most industry sectors have consumption mixes similar to the U.S. average, some of the most critical sectors of the economy - such as resource extraction and material processing sectors - are very different. This result does validate the average mix assumption made in many environmental assessments, but it is important to accurately quantify the generation methods for electricity used when doing life-cycle analyses. 16 refs., 7 figs., 2 tabs.

Joe Marriott; H. Scott Matthews [Carnegie Mellon University, Pittsburgh, PA (United States). Department of Civil and Environmental Engineering

2005-11-15T23:59:59.000Z

70

Effects of feedback on residential electricity consumption: A literature review  

SciTech Connect

This report reviews 17 studies assessing the effect of information feedback on residential electricity consumption. Most of the studies were conducted in experimental or quasi-experimental conditions. The studies reviewed used (1) both feedback and incentives, (2) goal setting, (3) cost information feedback, and (4) displays. The study findings, taken together, provide some evidence that feedback is effective in reducing electricity consumption, although questions remain concerning the conditions under which feedback can best be provided. Reductions in consumption found in most of the studies ranged from 5% to 20%. Utility companies are the most likely source of feedback information for residential customers. Three of the studies investigated utility feedback projects. The report discusses the policy implications of these as well as the other studies. The report also lists questions remaining to be researched. 13 refs., 1 tab.

Farhar, B.C.; Fitzpatrick, C.

1989-01-01T23:59:59.000Z

71

Table 2.1f Electric Power Sector Energy Consumption, 1949-2011 ...  

U.S. Energy Information Administration (EIA)

Table 2.1f Electric Power Sector Energy Consumption, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Fossil Fuels: Nuclear

72

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

73

Model for electric energy consumption in eastern Saudi Arabia  

Science Conference Proceedings (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

74

Table 11.5c Emissions From Energy Consumption for Electricity ...  

U.S. Energy Information Administration (EIA)

Notes: - Data are for emissions from energy consumption for electricity generation and useful thermal output. - See Table 11.5b for electric power sector data.

75

Table 8.4b Consumption for Electricity Generation by Energy ...  

U.S. Energy Information Administration (EIA)

Table 8.4b Consumption for Electricity Generation by Energy Source: Electric Power Sector, 1949-2011 (Subset of Table 8.4a; Trillion Btu)

76

Table 8.7b Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 8.7b Consumption of Combustible Fuels for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2011 (Subset of Table ...

77

Table 8.5c Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 8.5c Consumption of Combustible Fuels for Electricity Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.5b)

78

A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation  

Science Conference Proceedings (OSTI)

This paper presents a hybrid adaptive network based fuzzy inference system (ANFIS), computer simulation and time series algorithm to estimate and predict electricity consumption estimation. The difficulty with electricity consumption estimation modeling ... Keywords: Adaptive network based fuzzy inference system, Computer simulation, Electricity consumption, Hybrid, Improvement, Time series

A. Azadeh; M. Saberi; A. Gitiforouz; Z. Saberi

2009-10-01T23:59:59.000Z

79

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)

80

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

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

Renewable energy for domestic electricity production and prediction of short-time electric consumption  

Science Conference Proceedings (OSTI)

Modern interest in renewable energy development is linked to concerns about exhaustion of fossil fuels and environmental, social and political risks of extensive use of fossil fuels and nuclear energy. It is a form of energy development with a focus ... Keywords: Kohonen Self-Organizing Maps, Photovoltaic Solar Cells, Short-Time Electric Consumption, Time Series, Windmills

Stéphane Grieu; Frédérik Thiery; Adama Traoré; Monique Polit

2007-06-01T23:59:59.000Z

82

Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques  

Science Conference Proceedings (OSTI)

The analysis of the daily electricity consumption profile of a building and its correlation with environmental factors makes it possible to examine and estimate its electricity demand. As an alternative to the traditional correlation analysis, a new ... Keywords: Dimensionality reduction, Electricity consumption profiles, Energy efficiency, Information visualization

Antonio MoráN, Juan J. Fuertes, Miguel A. Prada, SerafíN Alonso, Pablo Barrientos, Ignacio DíAz, Manuel DomíNguez

2013-09-01T23:59:59.000Z

83

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

E-Print Network (OSTI)

Smart Beijing: Correlation of Urban Electrical Energy Consumption with Urban Environmental Sensing and investigates the environmental impact of the electrical energy consumer (transportation, buildings, street will be trained to recognize important city events and dynamics which will affect electrical power consumption

Beigl, Michael

84

Table CE3-6.1u. Electric Air-Conditioning Energy Consumption and ...  

U.S. Energy Information Administration (EIA)

Table CE3-6.1u. Electric Air-Conditioning Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

85

Table CE3-6.2u. Electric Air-Conditioning Energy Consumption and ...  

U.S. Energy Information Administration (EIA)

Table CE3-6.2u. Electric Air-Conditioning Energy Consumption and Expenditures by Square Feet and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

86

Table 10.2c Renewable Energy Consumption: Electric Power Sector...  

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

Energy Consumption: Electric Power Sector, 1949-2011" " (Billion Btu)" "Year",,,"Geothermal 2",,"SolarPV 3",,"Wind 4",,"Biomass",,,,,,"Total" ,"Hydroelectric" ,"Power...

87

Table 8.7c Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 8.7c Consumption of Combustible Fuels for Electricity Generation and Useful Thermal Output: Commercial and Industrial Sectors, 1989-2011 (Subset of ...

88

Table 8.7a Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 8.7a Consumption of Combustible Fuels for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2011 (Sum of ...

89

Table 8.4c Consumption for Electricity Generation by Energy ...  

U.S. Energy Information Administration (EIA)

Table 8.4c Consumption for Electricity Generation by Energy Source: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.4a; Trillion ...

90

U.S. natural gas consumption for electric power tops industrial ...  

U.S. Energy Information Administration (EIA)

tags: consumption demand electricity generation industrial natural gas. Email Updates. RSS Feeds. Facebook. Twitter. YouTube. Add us to your site.

91

Table 10.2c Renewable Energy Consumption: Electric Power Sector ...  

U.S. Energy Information Administration (EIA)

Table 10.2c Renewable Energy Consumption: Electric Power Sector, 1949-2011 ... Through 2000, also includes non-renewable waste (municipal solid waste from

92

End-Use Consumption of Electricity by End Use and Appliance  

U.S. Energy Information Administration (EIA)

Home > Residential Home > Special Topics > Figure 1. Percent of Total Electricity Consumption in U.S. Housing Units, 2001 . Contact. Chip Berry

93

Table 8.7c Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 8.7c Consumption of Combustible Fuels for Electricity Generation and Useful Thermal Output: Commercial and Industrial Sectors, 1989-2011 ...

94

Table 2.1f Electric Power Sector Energy Consumption, 1949-2011 ...  

U.S. Energy Information Administration (EIA)

1 See "Primary Energy Consumption" in Glossary. 9 Wind electricity net generation (converted to Btu using the fossil-fuels heat rate—see Table A6).

95

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

E-Print Network (OSTI)

changes differ from one appliance to another. Referencespeople activities, appliances use, and electric consumption.of use of the three appliances studied. However, variations

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

96

How much U.S. energy consumption and electricity generation comes ...  

U.S. Energy Information Administration (EIA)

In 2012, renewable sources of energy accounted for about 9% of total U.S. energy consumption and 12% of electricity generation. 1. Learn more:

97

Table 8.7b Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 8.7b Consumption of Combustible Fuels for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2011 (Subset of Table 8.7a) ...

98

Table 11.5b Emissions From Energy Consumption for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 11.5b Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2010 (Subset of Table 11.5a ...

99

On Minimizing the Energy Consumption of an Electrical Vehicle  

E-Print Network (OSTI)

Abstract. The electrical vehicle energy management can be expressed ... Electrical vehicle uses an electrical energy source for its displacement which can.

100

Forecast of the electricity consumption by aggregation of specialized experts; application to Slovakian and French  

E-Print Network (OSTI)

Forecast of the electricity consumption by aggregation of specialized experts; application-term forecast of electricity consumption based on ensemble methods. That is, we use several possibly independent base forecasters and design meta-forecasters which combine the base predictions that are output by them

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

Consumption of Coal for Electricity Generation by State by Sector...  

Open Energy Info (EERE)

Coal for Electricity Generation by State by Sector, January 2011 and 2010 This dataset contains state by state comparisons of coal for electricity generation in the United States....

102

Consumption of Natural Gas for Electricity Generation by State...  

Open Energy Info (EERE)

Natural Gas for Electricity Generation by State by Sector, January 2011 and 2010 This dataset contains state by state comparisons of natural gas for electricity generation in the...

103

Air-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption  

E-Print Network (OSTI)

: Engineering-industry, secondary: Econometrics. 1 Introduction The electric power mid-term loads forecasting: Estimated annual temperature sensitive electricity load components 3 Mid-term load forecasting StatisticalAir-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption

Paris-Sud XI, Université de

104

Impact of 1980 scheduled capacity additions on electric-utility oil consumption  

SciTech Connect

The electric-utility sector currently consumes approximately 8% of the total oil used in the Nation. This oil represented about 15% of total fuel consumed by electric utilities in 1979. Two important factors that affect the level of utility oil consumption in 1980 are the substantial increase in coal-fired generating capacity and the uncertainty surrounding nuclear-plant licensing. With particular emphasis on these considerations, this report analyzes the potential for changes in electric-utility oil consumption in 1980 relative to the 1979 level. Plant conversions, oil to coal, for example, that may occur in 1980 are not considered in this analysis. Only the potential reduction in oil consumption resulting from new generating-capacity additions is analyzed. Changes in electric-utility oil consumption depend on, among other factors, regional-electricity-demand growth and generating-plant mix. Five cases are presented using various electricity-demand-growth rate assumptions, fuel-displacement strategies, and nuclear-plant-licensing assumptions. In general, it is likely that there will be a reduction in electric-utility oil consumption in 1980. Using the two reference cases of the report, this reduction is projected to amount to a 2 to 5% decrease from the 1979 oil-consumption level; 7% reduction is the largest reduction projected.

Gielecki, M.; Clark, G.; Roberts, B.

1980-08-01T23:59:59.000Z

105

Persuading consumers to reduce their consumption of electricity in the home  

Science Conference Proceedings (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 investigated what exactly those feedback mechanisms ...

Alan F. Smeaton, Aiden R. Doherty

2013-04-01T23:59:59.000Z

106

Table CE3-4c. Electric Air-Conditioning Energy Consumption in U.S ...  

U.S. Energy Information Administration (EIA)

Table CE3-4c. Electric Air-Conditioning Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total Type of Housing Unit

107

Table CE3-1c. Electric Air-Conditioning Energy Consumption in U.S ...  

U.S. Energy Information Administration (EIA)

Table CE3-1c. Electric Air-Conditioning Energy Consumption in U.S. Households by Climate Zone, 2001 RSE Column Factor: Total Climate Zone1 RSE Row

108

Table 11.5a Emissions From Energy Consumption for Electricity ...  

U.S. Energy Information Administration (EIA)

Table 11.5a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and ...

109

Optimization of Electric Energy Consumption in Marginal California Oilfields: Oilfields Energy Consumption Optimization  

Science Conference Proceedings (OSTI)

High electrical cost has always constituted a major expense item in the operation of oilfields. Such high costs are particularly critical to small oil and gas operators. There are opportunities that can substantially reduce electric cost and improve energy usage efficiency. For small operators, this could mean a difference between premature abandonment and continued recovery. Energy reduction in oil production supports the need for energy reduction across all industries brought on by recent electrical en...

2001-10-18T23:59:59.000Z

110

Consumption  

E-Print Network (OSTI)

www.eia.gov Annual Energy Outlook 2013 projections to 2040 • Growth in energy production outstrips consumption growth • Crude oil production rises sharply over the next decade • Motor gasoline consumption reflects more stringent fuel economy standards • The U.S. becomes a net exporter of natural gas in the early 2020s • U.S. energy-related carbon dioxide emissions remain below their 2005 level through 2040

Adam Sieminski Administrator; Adam Sieminski; Adam Sieminski; Adam Sieminski; Adam Sieminski

2013-01-01T23:59:59.000Z

111

How much of world energy consumption and electricity generation is ...  

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, manufacturing, and transportation. Coal. ... tariff, and demand charge data? How is electricity used in U.S. homes?

112

Extracting Operating Modes from Building Electrical Load Data: Preprint  

Science Conference Proceedings (OSTI)

Empirical techniques for characterizing electrical energy use now play a key role in reducing electricity consumption, particularly miscellaneous electrical loads, in buildings. Identifying device operating modes (mode extraction) creates a better understanding of both device and system behaviors. Using clustering to extract operating modes from electrical load data can provide valuable insights into device behavior and identify opportunities for energy savings. We present a fast and effective heuristic clustering method to identify and extract operating modes in electrical load data.

Frank, S.; Polese, L. G.; Rader, E.; Sheppy, M.; Smith, J.

2012-01-01T23:59:59.000Z

113

Monitoring Electricity Consumption in the Tertiary Sector- A Project within the Intelligent Energy Europe Program  

E-Print Network (OSTI)

The electricity consumption in the tertiary sector in the EU is still increasing and a further increase is expected of more than 2 % per year during the next 15 years. This sector includes companies and institutions of public and private services with heterogeneous economic and energy-related characteristics. Building managers and decision-makers are not enough informed about the electricity consumption structure and electricity-saving potentials. Within the EU Intelligent Energy project EL-TERTIARY an overview of existing studies showed that the availability of disaggregated data on electricity consumption and its use by purpose (lighting, office equipment, ventilation, air conditioning, etc.) is poor. The methods of determining the types of end-uses are weak; most studies are based on calculations and estimations, only a few on measurement. In addition, many of the results are not published. EL-TERTIARY developed an internet-based methodology for monitoring electricity consumption. It was applied in more than 120 case studies in 12 EU countries. They cover various types of buildings: offices, schools, universities, kindergartens, hotels, supermarkets, and hospitals evaluating more than 900 technical systems. On the background of ongoing activities on EU level, such as directives, research and implementation projects the paper illustrates the concept of EL-TERTIARY, the newly developed methodology for the documentation of building audits and monitoring as well as selected results.

Plesser, S.; Fisch, M. N.; Gruber, E.; Schlomann, B.

2008-10-01T23:59:59.000Z

114

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

SciTech Connect

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

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

2013-01-01T23:59:59.000Z

115

Miscellaneous  

Science Conference Proceedings (OSTI)

NETL has developed a design and control philosophy for the addition of nitrogen to austenitic and ferritic steels. The design approach uses CALPHAD as the ...

116

Miscellaneous  

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

THE PEAK OIL DEBATE THE PEAK OIL DEBATE As The EIA Turns 30 EIA 2008 Energy Conference Washington, DC April 7, 2008 By: Matthew R. Simmons, Chairman Simmons & Company International EIA 2008 Energy Conference Washington, DC April 7, 2008 By: Matthew R. Simmons, Chairman Simmons & Company International SIMMONS & COMPANY INTERNATIONAL Should We Debate "Peak Oil" Should We Debate "Peak Oil" n Oil seems non-renewable. n High percentage comes from "mature fields." n High percentage of new fields are offshore with sharp peaks. n Oil supply will peak, someday. n Timing is only debate. n Fog of non-transparency creates the debate. n With precise supply data, the debate would end. SIMMONS & COMPANY INTERNATIONAL Can The EIA Give The World A

117

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...

118

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

SciTech Connect

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

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

2011-02-24T23:59:59.000Z

119

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

E-Print Network (OSTI)

and less costly than older coal-fired power plants. In addition, technological advances in electricity, supply, trans- mission, and consumption is developed. The model is sufficiently general to handle the economics of power production. For example, new gas-fired combined cycle power plants are more effi- cient

Nagurney, Anna

120

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

E-Print Network (OSTI)

(e.g., HVAC) for a specific building, optimizing control systems and strategies for a buildingPredicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study Richard building energy modeling suffers from several factors, in- cluding the large number of inputs required

Tennessee, University of

Note: This page contains sample records for the topic "miscellaneous electricity consumption" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Nearest neighbor technique and artificial neural networks for short-term electric consumptions forecast  

Science Conference Proceedings (OSTI)

Promoting both energy savings and renewable energy development are two objectives of the actual and national French energy policy. In this sense, the present work takes part in a global development of various tools allowing managing energy demand. So, ... Keywords: Kohonen Self-Organizing Map, Multi-Layer Perceptron, Short-Term Electric Consumption, The Nearest Neighbor Technique, Virtual Power Plant

Van Giang Tran; Stéphane Grieu; Monique Polit

2008-07-01T23:59:59.000Z

122

Analysis of end-use electricity consumption during two Pacific Northwest cold snaps  

SciTech Connect

The Pacific Northwest has experienced unusually cold weather during two recent heating seasons. Hourly end-use load data was collected from a sample of residential and commercial buildings during both cold snaps. Earlier work documented the changes in end-use load shapes as outdoor temperature became colder. This paper extends analysis of cold snap load shapes by comparing results from both cold snaps, exploring the variability of electricity consumption between sites, and describing the use of load shapes in simulating system load. Load shapes from the first cold snap showed that hot water use shifted to later in the morning during extremely cold weather. This shift in load also occurred during the second cold snap and is similar to the shift observed on a typical weekend. Electricity consumption averaged across many sites can mask widely varying behavior at individual sites. For example, electricity consumption for space heat varies greatly between homes, especially when many homes are able to burn wood. Electricity consumption for space heat is compared between a group of energy-efficient homes and a group of older homes.

Sands, R.D.

1992-10-01T23:59:59.000Z

123

Analysis of end-use electricity consumption during two Pacific Northwest cold snaps  

SciTech Connect

The Pacific Northwest has experienced unusually cold weather during two recent heating seasons. Hourly end-use load data was collected from a sample of residential and commercial buildings during both cold snaps. Earlier work documented the changes in end-use load shapes as outdoor temperature became colder. This paper extends analysis of cold snap load shapes by comparing results from both cold snaps, exploring the variability of electricity consumption between sites, and describing the use of load shapes in simulating system load. Load shapes from the first cold snap showed that hot water use shifted to later in the morning during extremely cold weather. This shift in load also occurred during the second cold snap and is similar to the shift observed on a typical weekend. Electricity consumption averaged across many sites can mask widely varying behavior at individual sites. For example, electricity consumption for space heat varies greatly between homes, especially when many homes are able to burn wood. Electricity consumption for space heat is compared between a group of energy-efficient homes and a group of older homes.

Sands, R.D.

1992-01-01T23:59:59.000Z

124

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

125

Measuring Miscellaneous Electrical Loads in Buildings  

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

leading the effort to decipher MELs impacts on buildings Understanding and reducing the energy use of MELs is a significant problem. The buildings industry is working towards...

126

Miscellaneous States Shale Gas Proved Reserves (Billion Cubic...  

Annual Energy Outlook 2012 (EIA)

View History: Annual Download Data (XLS File) Miscellaneous States Shale Gas Proved Reserves (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves (Billion Cubic...

127

U.S. Residential Miscellaneous Refrigeration Products: Results...  

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

Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys Title U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon...

128

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:

129

Factors Affecting the Fuel Consumption of Plug-In Hybrid Electric Vehicles  

DOE Green Energy (OSTI)

Primary Factors that Impact the Fuel Consumption of Plug-In Hybrid Electric Vehicles RICHARD ‘BARNEY’ CARLSON, MATTHEW G. SHIRK Idaho National Laboratory 2525 N. Fremont Ave., Idaho Falls, ID 83415, USA richard.carlson@inl.gov Abstract Plug-in Hybrid Electric Vehicles (PHEV) have proven to significantly reduce petroleum consumption as compared to conventional internal combustion engine vehicles (ICE) by utilizing electrical energy for propulsion. Through extensive testing of PHEV’s, analysis has shown that the fuel consumption of PHEV’s is more significantly affected than conventional vehicles by either the driver’s input or by the environmental inputs around the vehicle. Six primary factors have been identified that significantly affect the fuel consumption of PHEV’s. In this paper, these primary factors are analyzed from on-road driving and charging data from over 200 PHEV’s throughout North America that include Hymotion Prius conversions and Hybrids Plus Escape conversions. The Idaho National Laboratory (INL) tests plug-in hybrid electric (PHEV) vehicles as part of its conduct of DOE’s Advanced Vehicle Testing Activity (AVTA). In collaboration with its 75 testing partners located in 23 states and Canada, INL has collected data on 191 PHEVs, comprised of 12 different PHEV models (by battery manufacturer). With more than 1 million PHEV test miles accumulated to date, the PHEVs are fleet, track, and dynamometer tested. Six Primary Factors The six primary factors that significantly impact PHEV fuel consumption are listed below. Some of the factors are unique to plug-in vehicles while others are common for all types of vehicles. 1. Usable Electrical Energy is dictated by battery capacity, rate of depletion as well as when the vehicle was last plugged-in. With less electrical energy available the powertrain must use more petroleum to generate the required power output. 2. Driver Aggressiveness impacts the fuel consumption of nearly all vehicles but this impact is greater for high efficiency powertrains. 3. Accessory Utilization like air conditioner systems or defroster systems can use a significant amount of additional energy that is not contributing to the propulsion of the vehicle. 4. Route Type such as city, highway or mountainous driving can affect the fuel consumption since it can involve stop and go driving or ascending a step grade. 5. Cold Start / Key On includes control strategies to improve cold start emissions as well as control routines to quickly supply cabin heat. These control strategies are necessary for consumer acceptance even though fuel consumption is negatively impacted. 6. Ambient Temperature can reduce the efficiency of many powertrain components by significantly increasing fluid viscosity. For vehicles that utilize battery energy storage systems, the temperature of the battery system can greatly affect the power output capability therefore reducing its system effectiveness. The analysis of the six primary factors that impact fuel economy of PHEV’s helped to identify areas of potential further development as well as may assist in informing drivers of these effects in an effort to modify driving behavior to reduce petroleum consumption.

Richard "Barney" Carlson; Matthew G. Shirk; Benjamin M. Geller

2001-11-01T23:59:59.000Z

130

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

E-Print Network (OSTI)

At the end of 1997, The Energy Information Administration (EIA) published a report titled What Took Place in the Economic Environment Between 1991 and 1994 That Affected the Energy Manufacturers Used? This report contains information gathered from Manufacturing Energy Consumption Surveys (MECS), representing a sampling of over 250,000 manufacturing establishments in 52 industries and nine geographical Census divisions. Although the report covers natural gas, distillate fuel oil, residual fuel oil, 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 electric motor systems. The report also introduces the US Department of Energy's Motor Challenge Program and the US Environmental Protection Agency's Green Lights and Energy Star Programs. Topics such as changes in the electricity market, technology improvements, price disparities, and lessons learned from the natural gas restructuring as related to the electric utility deregulation relate the changes that are impacting the industrial environment. Although the report details information from many industries, the four major energy consumers in the manufacturing sector are: * Petroleum and Coal Products (SIC 29) * Chemicals and Allied Products (SIC 28) * Paper and Allied Partners (SIC 26) * Primary Metal Industries (SIC 33) These industries are also very proactive in their attempts to promote energy efficiency in all areas, including electrical. For example, the IEEE-841 Standard motor is a result of the work of some of these industries. The impact on the industrial Maintenance, Repair, and Operations (MRO) suppliers and Original Equipment Manufacturers (OEM) markets show the need for increasing awareness in all aspects of electrical energy, especially in light of the implementation of the Energy Policy Act and the deregulation of the utility industry.

Lockhead, S.

1999-05-01T23:59:59.000Z

131

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...

132

Miscellaneous States Coalbed Methane Proved Reserves (Billion...  

Gasoline and Diesel Fuel Update (EIA)

Coalbed Methane Proved Reserves (Billion Cubic Feet) Miscellaneous States Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

133

Miscellaneous Forms | Y-12 National Security Complex  

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

Miscellaneous Forms Miscellaneous Forms Miscellaneous Forms The following miscellaneous forms are provided in PDF fillable and/or Word format. Click the link in the "Format" column to open a copy of the form or right-click to download. Number* Title/Description Format** SF-85 Questionnaire for Non-Sensitive Positions PDF-fil UCN-13A Relocation Expense Report PDF-fil, PDF print UCN-15436 Gifts and Grants Request PDF-fil, Word UCN-16708 Request for Authorization to Ship SNM or Non-SNM Material (U) Word UCN-16790A Approval of Product Returned for Accountable Material and Non-Accountable Weapons Material (U) PDF print UCN-20650 Statement of Interest in Maintaining Section 3161 Employment Eligibility PDF-fil UCN-20904 Supplier Qualification Questionnaire Word

134

The impact of thermostat performance on energy consumption and occupant comfort in residential electric heating systems  

SciTech Connect

A digital computer simulation was used to compare the energy consumption and comfort of an electric baseboard heating system using high performance thermostats (low droop, fast cycling) to that of the same system using poorer performing thermostats (high droop, slow cycling, such as many line voltage types). Since a thermostat which allows the controlled temperature to fall below the setpoint will obviously cause less energy consumption than a thermostat which maintains the controlled temperature closer to the setpoint, the key hypothesis of this study was that the user will reset the thermostat setpoint in some fashion during the heating season to obtain acceptable conditions for all heating loads. The major assumption of this study, therefore, was the mode of this ''user-thermostat interaction''. For every case in which the simulated ''user'' could intervene, the energy consumption using high performance thermostats was found to be less, while a greater degree of comfort was maintained, than systems using poorer performing thermostats. Energy savings ranged from 2% to 18% depending upon the mode of user interaction simulated. Where energy savings were small, the ''user'' was resetting the poorly performing thermostat as often as twice a day; i.e., the ''user'' was performing the function of a better performing thermostat.

Benton, R.

1982-01-01T23:59:59.000Z

135

Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study  

Science Conference Proceedings (OSTI)

Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

2012-01-01T23:59:59.000Z

136

Consumption strategies and tariff coordination for cooperative consumers in a deregulated electricity market  

E-Print Network (OSTI)

As the trend in electricity markets is strongly towards deregulation, new players, new rules and new behaviors will continue to emerge. One of the new phenomena that are developing on the demand side is the purchase by a coalition of agents. When it is worth, a coalition will be constituted. One of the energy needs, especially important in Nordic countries such as Finland, is electrical space heating. We consider here the consumption strategies of individual electricity buyers within a coalition. The decision problem each consumer faces is to find the optimal use of his space heating system with respect to change in electricity price and to his tolerance to indoor temperature variation. A mathematical model for this problem is defined. Physical parameters of example houses were gathered from an experimental field test conducted in Helsinki during the winter 1996. The coalition buys in the market at marginal cost. However, as marginal cost pricing may not always fulfill metering and communication needs of the members of the coalition, we consider Time-Of-Use (TOU) pricing within the coalition. Different groups of consumer behaviour are constructed to simulate this coalition. Optimal marginal tariff is used as a reference point to estimate the nearest TOU tariff within the coalition.

Raimo P. Hämäläinen; Juha Mäntysaari; Jukka Ruusunen; Pierre-olivier Pineau

1999-01-01T23:59:59.000Z

137

Authorization basis status report (miscellaneous TWRS facilities, tanks and components)  

SciTech Connect

This report presents the results of a systematic evaluation conducted to identify miscellaneous TWRS facilities, tanks and components with potential needed authorization basis upgrades. It provides the Authorization Basis upgrade plan for those miscellaneous TWRS facilities, tanks and components identified.

Stickney, R.G.

1998-04-29T23:59:59.000Z

138

Miscellaneous Crude Oil Proved Reserves, Reserves Changes, and ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Miscellaneous includes ...

139

Miscellaneous | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Miscellaneous Advanced Scientific Computing Research (ASCR) ASCR Home About Research Facilities Science Highlights Benefits of ASCR Funding Opportunities Advanced Scientific...

140

Load forecasting framework of electricity consumptions for an Intelligent Energy Management System in the user-side  

Science Conference Proceedings (OSTI)

This work presents an electricity consumption-forecasting framework configured automatically and based on an Adaptative Neural Network Inference System (ANFIS). This framework is aimed to be implemented in industrial plants, such as automotive factories, ... Keywords: ANFIS, Forecasting, Genetic algorithm, Intelligent EMS, Modelling

Juan J. Cárdenas; Luis Romeral; Antonio Garcia; Fabio Andrade

2012-04-01T23:59:59.000Z

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

A new "In-Use Energy consumption" indicator for the design of energy efficient electr(on)ics  

E-Print Network (OSTI)

A new "In-Use Energy consumption" indicator for the design of energy efficient electr(on)ics Lucie(on)ic industry is the development of energy efficient products during their use. Indeed, regulations, standards energy efficiency more effectively during the design process. The indicator combines the power

Paris-Sud XI, Université de

142

The Effect on Electricity Consumption of the Commonwealth Edison Customer Applications Program: Phase 2 Final Analysis  

Science Conference Proceedings (OSTI)

This report describes the final Phase 2 analysis of the effects on residential customers' energy consumption patterns of Commonwealth Edison's (ComEd's) Customer Application Program (CAP).

2011-10-20T23:59:59.000Z

143

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% |

144

A regression approach to infer electricity consumption of legacy telecom equipment  

E-Print Network (OSTI)

estimate current or future power consumption of telecommunication networks, or that evaluate power.idzikowski@tu-berlin.de, firstname.lastname@orange.com Abstract--Reasonably accurate reference power consumption values are required for any work that evaluates power consump- tion in telecommunication networks. Many existing works pro

Greenberg, Albert

145

Application for State Land Use Lease: Miscellaneous Easement...  

Open Energy Info (EERE)

navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Application for State Land Use Lease: Miscellaneous EasementROW Details Activities (0) Areas (0) Regions...

146

Miscellaneous States Crude Oil + Lease Condensate Proved Reserves...  

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

+ Lease Condensate Proved Reserves (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

147

,"Miscellaneous States Crude Oil + Lease Condensate Proved Reserves...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2011 ,"Release...

148

,"Miscellaneous States Crude Oil Reserves in Nonproducing Reservoirs...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)",1,"Annual",2011 ,"Release...

149

Miscellaneous States Natural Gas Plant Liquids, Reserves Based...  

Gasoline and Diesel Fuel Update (EIA)

Reserves Based Production (Million Barrels) Miscellaneous States Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

150

Miscellaneous States Natural Gas Plant Liquids, Proved Reserves...  

Gasoline and Diesel Fuel Update (EIA)

company data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Natural Gas Liquids Proved Reserves as of Dec. 31 Miscellaneous Natural Gas Liquids Proved...

151

Miscellaneous States Natural Gas Liquids Lease Condensate, Proved...  

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

Liquids Lease Condensate, Proved Reserves (Million Barrels) Miscellaneous States Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2...

152

Miscellaneous States Crude Oil Reserves in Nonproducing Reservoirs...  

Annual Energy Outlook 2012 (EIA)

Reserves in Nonproducing Reservoirs (Million Barrels) Miscellaneous States Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

153

Impacts of Electric Vehicles on Primary Energy Consumption and Petroleum Displacement  

E-Print Network (OSTI)

The 9th International Electric Vehicle symposium, EVS88-072,10th International of Electric Vehicle Symposium, pp.154-International in of Electric Vehicle Symposium, pp.401-410,

Wang, Quanlu; Delucchi, Mark A.

1991-01-01T23:59:59.000Z

154

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

E-Print Network (OSTI)

Architecture for Localized Electrical Energy Reduction, Generation, and Sharing) [46] is the smart-grid

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

155

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

156

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

E-Print Network (OSTI)

Cost-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 for plug-in hybrid electric vehicles as alternate methods to reduce gasoline consumption for cars, trucks

McGaughey, Alan

157

Table 10.2c Renewable Energy Consumption: Electric Power Sector ...  

U.S. Energy Information Administration (EIA)

3 Solar thermal and photovoltaic (PV) electricity net generation (converted to Btu using the fossil-fuels heat rate-see Table A6). Notes: - The electric power sector ...

158

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

DOE Green Energy (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

159

END?USER’S TOOLS TOWARDS AN EFFICIENT ELECTRICITY CONSUMPTION: THE DYNAMIC SMART GRID  

Science Conference Proceedings (OSTI)

Growing uncontrolled electrical demands have caused increased supply requirements. This causes volatile electrical markets and has detrimental unsustainable environmental impacts. The market is presently characterized by regular daily peak demand conditions associated with high electricity prices. A demand?side response system can limit peak demands to an acceptable level. The proposed scheme is based on energy demand and price information which is available online. An online server is used to communicate the information of electricity suppliers to users

Fouad Kamel; Alexander A. Kist

2010-01-01T23:59:59.000Z

160

Table 8.5c Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

biomass. Through 2000, also includes non-renewable waste ... Data also include a small number of electric utility combined-heat-and-power (CHP) ...

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

Table 7.4b Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

and Useful Thermal Output: Electric Power Sector (Subset of Table 7.4a) Coala Petroleum Natural Gasf Other Gasesg Biomass Otherj Distillate Fuel Oilb Residual Fuel Oilc

162

Data Visualization for Quality-Check Purposes of Monitored Electricity Consumption in All Office Buildings in the ESL Database  

E-Print Network (OSTI)

This report comprises an effort to visualize the monitored electricity consumption in all office buildings (not including the office buildings comprising other functions as classrooms and laboratories, for instance) in the ESL database. This data visualization, basically long-term and short-term time series plots serves as a preliminary quality check of the data available. A preliminary inspection of the data was performed, by viewing the channels to provide a clear identification of creep, missing data gaps, turned-off periods, and sudden big changes that suggest changes in the building operation or an addition to the building.

Sreshthaputra, A.; Abushakra, B.; Haberl, J. S.; Claridge, D. E.

2000-01-01T23:59:59.000Z

163

End-Use Consumption of Electricity by End Use and Appliance  

U.S. Energy Information Administration (EIA)

Furnace Fan: 76.3 . 500 g . 38.2. 3.3. Dishwasher: 56.7 . 512 l. 29.0. 2.5. Electric Range Top c: 59.7 . 536 g . 32.0. 2.8. Electric Oven d: 47.8 . 440 g . 21.0. 1.8 ...

164

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

165

The Energy Box : comparing locally automated control strategies of residential electricity consumption under uncertainty  

E-Print Network (OSTI)

The Energy Box is an always-on background processor automating the temporal management of one's home or small business electrical energy usage. Cost savings are achieved in a variety of environments, ranging from at pricing ...

Livengood, Daniel James

2011-01-01T23:59:59.000Z

166

Modeling Water Withdrawal and Consumption for Electricity Generation in the United States  

E-Print Network (OSTI)

Water withdrawals for thermoelectric cooling account for a significant portion of total water use in the United States. Any change in electrical energy generation policy and technologies has the potential to have a major ...

Strzepek, Kenneth M.

2012-06-15T23:59:59.000Z

167

Table 8.4a Consumption for Electricity Generation by Energy Source ...  

U.S. Energy Information Administration (EIA)

8 Solar thermal and photovoltaic (PV) energy. Sources: - 1949-1988-Table 8.4b for electric power sector, and Tables 8.1 and A6 for industrial sector.

168

Effect of automotive electrical system changes on fuel consumption using incremental efficiency methodology  

E-Print Network (OSTI)

There has been a continuous increase in automotive electric power usage. Future projections show no sign of it decreasing. Therefore, the automotive industry has a need to either improve the current 12 Volt automotive ...

Hardin, Christopher William

2004-01-01T23:59:59.000Z

169

Table 8.7a Consumption of Combustible Fuels for Electricity ...  

U.S. Energy Information Administration (EIA)

Total 5: Wood 8: Waste 9: Thousand ... electric utility data also include a small amount of fuel oil no. 4. 10 ... and other manufactured and waste gases derived from ...

170

Adapting state and national electricity consumption forecasting methods to utility service areas. Final report  

SciTech Connect

This report summarizes the experiences of six utilities (Florida Power and Light Co., Municipal Electric Authority of Georgia, Philadelphia Electric Co., Public Service Co. of Colorado, Sacramento Municipal Utility District, and TVA) in adapting to their service territories models that were developed for forecasting loads on a national or regional basis. The models examined were of both end-use and econometric design and included the three major customer classes: residential, commercial, and industrial.

Swift, M.A.

1984-07-01T23:59:59.000Z

171

Property:Building/FloorAreaMiscellaneous | Open Energy Information  

Open Energy Info (EERE)

FloorAreaMiscellaneous FloorAreaMiscellaneous Jump to: navigation, search This is a property of type Number. Floor area for Miscellaneous Pages using the property "Building/FloorAreaMiscellaneous" Showing 25 pages using this property. S Sweden Building 05K0002 + 360 + Sweden Building 05K0005 + 110 + Sweden Building 05K0013 + 3,550 + Sweden Building 05K0016 + 445 + Sweden Building 05K0021 + 250 + Sweden Building 05K0025 + 254 + Sweden Building 05K0035 + 1,629 + Sweden Building 05K0037 + 175 + Sweden Building 05K0040 + 869 + Sweden Building 05K0044 + 1,234 + Sweden Building 05K0047 + 1,039 + Sweden Building 05K0051 + 1,489.92 + Sweden Building 05K0052 + 200 + Sweden Building 05K0062 + 140 + Sweden Building 05K0063 + 654 + Sweden Building 05K0068 + 746 + Sweden Building 05K0071 + 293 +

172

Miscellaneous States Shale Gas Proved Reserves Revision Increases...  

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

Increases (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Revision Increases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

173

Miscellaneous States Shale Gas Production (Billion Cubic Feet...  

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

Production (Billion Cubic Feet) Miscellaneous States Shale Gas Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2...

174

Miscellaneous States Shale Gas Proved Reserves Sales (Billion...  

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

Sales (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Sales (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

175

Miscellaneous States Shale Gas Proved Reserves Adjustments (Billion...  

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

Adjustments (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Adjustments (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

176

Miscellaneous States Shale Gas Proved Reserves Revision Decreases...  

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

Decreases (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Revision Decreases (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

177

Miscellaneous States Shale Gas Proved Reserves Extensions (Billion...  

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

Extensions (Billion Cubic Feet) Miscellaneous States Shale Gas Proved Reserves Extensions (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

178

Miscellaneous States Natural Gas Plant Liquids, Proved Reserves...  

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

Plant Liquids, Proved Reserves (Million Barrels) Miscellaneous States Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

179

Consumption Strategies and Tariff Coordination for Cooperative Consumers in a Deregulated Electricity Market  

Science Conference Proceedings (OSTI)

As the trend in electricity markets is strongly towards deregulation, new players, new rules and new behaviors will continue to emerge. One of the new phenomena that are developing on the demand side is the purchase by a coalition of agents. When it ...

Juha Mäntysaari; Pierre-Olivier Pineau

1999-01-01T23:59:59.000Z

180

Leaking electricity: Standby and off-mode power consumption in consumer electronics and household appliances  

Science Conference Proceedings (OSTI)

This report assesses ``leaking`` electricity from consumer electronics and small household appliances when they are in standby mode or turned off, and examines the impacts of these losses. The report identifies trends in relevant product industries and gives technical and policy options for reducing standby and off-mode power loss.

Thorne, J.; Suozzo, M.

1998-12-31T23:59:59.000Z

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


181

The Effect on Electricity Consumption of the Commonwealth Edison Customer Application Program Pilot: Phase 1, Appendices  

Science Conference Proceedings (OSTI)

This report provides appendices that support Electric Power Research Institute (EPRI) report 1022703, which describes the Phase 1 analysis of some aspects of residential customers' response to Commonwealth Edison's Customer Application Plan (CAP). This report contains technical materials that describe in detail all of the methods employed in conducting the Phase 1 analysis and presents the results of the application of those methods.

2011-04-29T23:59:59.000Z

182

Non-Space Heating Electrical Consumption in Manufactured Homes: Residential Construction Demonstration Project Cycle II : Final Report.  

SciTech Connect

This report summarizes submeter data of the non-space heating electrical energy use in a sample of manufactured homes. These homes were built to Super Good Cents insulation standards in 1988 and 1989 under the auspices of RCDP Cycle 2 of the Bonneville Power Administration. They were designed to incorporate innovations in insulation and manufacturing techniques developed to encourage energy conservation in this important housing type. Domestic water heating (DWH) and other non-space heat energy consumption, however, were not generally affected by RCDP specifications. The purpose of this study is to establish a baseline for energy conservation in these areas and to present a method for estimating total energy saving benefits associated with these end uses. The information used in this summary was drawn from occupant-read submeters and manufacturersupplied specifications of building shell components, appliances and water heaters. Information was also drawn from a field review of ventilation systems and building characteristics. The occupant survey included a census of appliances and occupant behavior in these manufactured homes. A total of 150 manufactured homes were built under this program by eight manufacturers. An additional 35 homes were recruited as a control group. Of the original 185 houses, approximately 150 had some usable submeter data for domestic hot water and 126 had usable submeter data for all other nonheating consumption. These samples were used as the basis for all consumption analysis. The energy use characteristics of these manufactured homes were compared with that of a similar sample of RCDP site-built homes. In general, the manufactured homes were somewhat smaller and had fewer occupants than the site-built homes. The degree to which seasonal variations were present in non-space heat uses was reviewed.

Onisko, Stephen A.; Roos, Carolyn; Baylon, David

1993-06-01T23:59:59.000Z

183

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.

184

Profiling Real-Time Electricity Consumption Data for Process Monitoring and Control  

Science Conference Proceedings (OSTI)

Today, smart meters serve as key assets to utilities and their customers because they are capable of recording and communicating real-time energy usage data; thus, enabling better understanding of energy usage patterns. Other potential benefits of smart meters data include the ability to improve customer experience, grid reliability, outage management, and operational efficiency. Despite these tangible benefits, many utilities are inundated by data and remain uncertain about how to extract additional value from these deployed assets outside of billing operations. One way to overcome this challenge is the development of new metrics for classifying utility customers. Traditionally, utilities classified their customers based on their business nature (residential, commercial, and industrial) and/or their total annual consumption. While this classification is useful for some operational functions, it is too limited for designing effective monitoring and control strategies. In this paper, a data mining methodology is proposed for clustering and profiling smart meters data in order to form unique classes of customers exhibiting similar usage patterns. The developed clusters could help utilities in identifying opportunities for achieving some of the benefits of smart meters data.

Omitaomu, Olufemi A [ORNL

2013-01-01T23:59:59.000Z

185

Miscellaneous electricity use in U.S. homes  

E-Print Network (OSTI)

Energy Information Administration.. Office of Energy MarketsEnergy Information Administration. Office of Energy MarketsEnergy Information Administration. Office of Energy Markets

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

186

Miscellaneous electricity use in U.S. homes  

E-Print Network (OSTI)

efficiency of fans for fuel-fired furnaces, and replacing halogen torchieres with more efficient CFL

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

187

Miscellaneous electricity use in U.S. homes  

E-Print Network (OSTI)

for clotheswasher and dishwasher motors, color televisions,Recorder Ceiling Fan Dishwasher Motor Clotheswasher Motor

Sanchez, Marla C.; Koomey, Jonathan G.; Moezzi, Mithra M.; Meier, Alan; Huber, Wolfgang

1999-01-01T23:59:59.000Z

188

Miscellaneous and Electronic Loads Energy Efficiency Opportunities for  

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

Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Commercial Buildings: A Collaborative Study by the United States and India Title Miscellaneous and Electronic Loads Energy Efficiency Opportunities for Commercial Buildings: A Collaborative Study by the United States and India Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-6287E Year of Publication 2013 Authors Ghatikar, Girish, Iris H. Y. Cheung, and Steven Lanzisera Secondary Authors Wardell, Bob, Manoj Deshpande, Jayraj Ugarkar, and Infosys Technologies Limited Date Published 04/2013 Keywords Electronic loads, energy efficiency opportunities for commercial buildings Short Title MELs Refereed Designation Unknown Attachment Size PDF 1.44 MB Google Scholar BibTex

189

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

190

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

191

Relationships between consumers' attitudes and knowledge and the effect of time-of-use rate structures on electricity consumption: North Carolina  

SciTech Connect

The North Carolina Time-of-Use (TOU) Rate Demonstration Project examined the effects of various TOU rate schedules on residential consumers' electrical usage, including both total usage and temporal patterns of electricity consumption. This report summarizes the findings of a series of secondary analyses of the data derived from this demonstration project. These secondary analyses focused on the effects of consumers' knowledge of, and attitudes toward, the TOU rate structure to which they were assigned on both total electricity usage and temporal patterns of consumption. These analyses were made possible by the provision of an extensive exit interview, which was administered to all participants at the completion of the one year demonstration project. In addition, data on electricity usage, the dependent variable for these analyses, was collected throughout the duration of the demonstration project. After describing the general features of the demonstration project, this report presents the findings of secondary analyses undertaken to determine participants' knowledge of the TOU rate structures to which they were assigned, their attitudes toward TOU rate structures, and the relationships between these attitude and knowledge measures and electricity consumption. Findings are presented separately for the Carolina Power and Light Company (CP and L) and the Blue Ridge Municipal Electric Company.

1981-09-01T23:59:59.000Z

192

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

193

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%

194

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

E-Print Network (OSTI)

to predict blower motor electrical power consumption for thegives the blower motor electrical power consumption. BE =the blower motor electrical power consumption. The following

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

2004-01-01T23:59:59.000Z

195

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

E-Print Network (OSTI)

4 and 5, the distributions of electricity consumption among01 Figure 4 – Distribution of Electricity Consumption AmongSample Figure 5 - Distribution of Electricity Consumption

Kelsven, Phillip

2013-01-01T23:59:59.000Z

196

Household Vehicles Energy Consumption 1994  

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

AdministrationHousehold Vehicles Energy Consumption 1994 110 Electricity: See Main Heating Fuel. Energy Used in the Home: For electricity or natural gas, the quantity is the...

197

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

E-Print Network (OSTI)

We investigated 40 typical air conditioned buildings in Changsha in 2005, including 15 hotel buildings, 6 commercial buildings, 5 office buildings, 6 hospital buildings and 8 synthesis buildings. On this basis we analyze the relation between types of cold and heat sources and the HVAC area of the buildings. Meanwhile the economical and feasible types of cold and heat sources are pointed out, i.e., oil boilers and gas boilers for heat source, and centrifugal and screw water chillers for cold source 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 heat pump will likely be applied. Based on the analysis of energy consumption and energy bills, we determine the feasible measures for energy conservation including the aspects of design, operation and management. Among them, special attention should be paid to energy metering and running time of air conditioning systems in civil buildings in Changsha.

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

2006-01-01T23:59:59.000Z

198

Methods for Detailed Energy Data Collection of Miscellaneous and Electronic  

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

Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Loads in a Commercial Office Building Title Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Loads in a Commercial Office Building Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-6384E Year of Publication 2013 Authors Lanzisera, Steven, Stephen Dawson-Haggerty, Iris H. Y. Cheung, Jay Taneja, David Culler, and Richard E. Brown Date Published 04/2013 Keywords Commercial Office Building, Data Collection, Electronic loads Abstract Miscellaneous and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings, and this share is projected to increase for the foreseeable future. Our understanding, however, of which devices are most responsible for this energy use is still rudimentary due to the difficulty and expense of performing detailed studies on MELs and their energy use. In order to better understand the energy use of MELs and the design of MELs field metering studies, we conducted a year-long study of MELs in an 89,500 sq. ft. (8310 m2) office building.

199

Reduces electric energy consumption  

E-Print Network (OSTI)

implementation of the assessment recommendations is estimated to be $843,000 with a total implementation cost. Manufacturing at the facility includes both casting and extrusion processes. Process equipment, air compressors productivity. As a result, facility production costs can be reduced and profits can be increased. August 2001

200

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

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

Fault Detection of Hourly Measurements in District Heat and Electricity Consumption; Feldetektion av Timinsamlade Mätvärden i Fjärrvärme- och Elförbrukning.  

E-Print Network (OSTI)

?? Within the next years, the amount of consumption data will increase rapidly as old meters will be exchanged in favor of meters with hourly… (more)

Johansson, Andreas

2005-01-01T23:59:59.000Z

202

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

203

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Building Size for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

204

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Year Constructed for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

205

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

206

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

by Climate Zonea for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

207

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

Census Division for All Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

208

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Census Division for All Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

209

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Census Division for All Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

210

Miscellaneous States Natural Gas, Wet After Lease Separation Proved  

Gasoline and Diesel Fuel Update (EIA)

Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Miscellaneous States Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 156 1980's 180 193 74 81 77 77 136 66 84 87 1990's 72 76 93 96 67 69 68 44 39 67 2000's 42 83 100 134 110 132 139 241 272 349 2010's 363 393 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31 Miscellaneous Natural Gas Reserves Summary as of Dec. 31

211

Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation,  

Gasoline and Diesel Fuel Update (EIA)

Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 142 1980's 146 181 47 50 63 52 95 53 56 48 1990's 50 62 82 87 56 37 40 13 22 13 2000's 23 64 80 120 98 118 120 226 263 271 2010's 353 270 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31 Miscellaneous Nonassociated Natural Gas Proved Reserves, Wet After

212

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)

213

Methods for detailed energy data collection of miscellaneous and electronic  

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

Methods for detailed energy data collection of miscellaneous and electronic Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building Title Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building Publication Type Journal Article Year of Publication 2013 Authors Lanzisera, Steven, Stephen Dawson-Haggerty, Iris H. Y. Cheung, Jay Taneja, David Culler, and Richard E. Brown Journal Building and Environment Volume 65 Start Page 170 Pagination 170 - 177 Date Published 7/2013 ISSN 03601323 Keywords benchmarking, field study, MELs, office buildings, Plug-loads Abstract Miscellaneous and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings, and this share is projected to increase for the foreseeable future. Our understanding, however, of which devices are most responsible for this energy use is still rudimentary due to the difficulty and expense of performing detailed studies on MELs and their energy use. In order to better understand the energy use of MELs and the design of MELs field metering studies, we conducted a year-long study of MELs in an 89,500 sq. ft. (8310 m2) office building. We present insights obtained from this study using 455 wireless plug-load power meters including the study design process, the tools needed for success, and key other methodology issues. Our study allowed us to quantify, for the study buildings, how many devices we needed to inventory and meter as well as for how long we needed to collect meter data. We find that the study design of earlier work would not have yielded accurate results in our study building. This paper presents these findings along with a brief summary of the energy related results.

214

After-hours power status of office equipment and energy use of miscellaneous plug-load equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of miscellaneous plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. For most types of miscellaneous equipment, we also estimated typical unit energy consumption in order to estimate total energy consumption of the miscellaneous devices within our sample. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from sixteen commercial buildings in California, Georgia, and Pennsylvania: four education buildings, two medical buildings, two large offices (> 500 employees each), three medium offices (50-500 employees each), and five small business offices (< 50 employees each). Two buildings are in the San Francisco Bay are a of California, nine (including the five small businesses) are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Marageret J.; Busch, John F.

2004-05-27T23:59:59.000Z

215

Table 2.1d Industrial Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1d Industrial Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

216

Table 2.1e Transportation Sector Energy Consumption Estimates ...  

U.S. Energy Information Administration (EIA)

Table 2.1e Transportation Sector Energy Consumption Estimates, 1949-2011 (Trillion Btu) Year: Primary Consumption 1: Electricity

217

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

viii Figure 4.1: Electrical power usage breakdown for a3:30PM. The total HVAC electrical power consumption for thepower consumption, over Electrical Power Consumption (in kW)

Balaji, Bharathan

2011-01-01T23:59:59.000Z

218

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network (OSTI)

installation Total Electricity Consumption 1 Year Pre & PostGWh total Total Electricity Consumption 1 Year Pre & 2 YearsInstall Total Electricity Consumption 1 Year Pre & 3 Years

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

219

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...

220

After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-load Equipment  

Science Conference Proceedings (OSTI)

This research was conducted in support of two branches of the EPA ENERGY STAR program, whose overall goal is to reduce, through voluntary market-based means, the amount of carbon dioxide emitted in the U.S. The primary objective was to collect data for the ENERGY STAR Office Equipment program on the after-hours power state of computers, monitors, printers, copiers, scanners, fax machines, and multi-function devices. We also collected data for the ENERGY STAR Commercial Buildings branch on the types and amounts of ''miscellaneous'' plug-load equipment, a significant and growing end use that is not usually accounted for by building energy managers. This data set is the first of its kind that we know of, and is an important first step in characterizing miscellaneous plug loads in commercial buildings. The main purpose of this study is to supplement and update previous data we collected on the extent to which electronic office equipment is turned off or automatically enters a low power state when not in active use. In addition, it provides data on numbers and types of office equipment, and helps identify trends in office equipment usage patterns. These data improve our estimates of typical unit energy consumption and savings for each equipment type, and enables the ENERGY STAR Office Equipment program to focus future effort on products with the highest energy savings potential. This study expands our previous sample of office buildings in California and Washington DC to include education and health care facilities, and buildings in other states. We report data from twelve commercial buildings in California, Georgia, and Pennsylvania: two health care buildings, two large offices (> 500 employees each), three medium offices (50-500 employees), four education buildings, and one ''small office'' that is actually an aggregate of five small businesses. Two buildings are in the San Francisco Bay area of California, five are in Pittsburgh, Pennsylvania, and five are in Atlanta, Georgia.

Roberson, Judy A.; Webber, Carrie A.; McWhinney, Marla C.; Brown, Richard E.; Pinckard, Margaret J.; Busch, John F.

2004-01-22T23:59:59.000Z

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

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

222

& CONSUMPTION US HYDROPOWER PRODUCTION  

E-Print Network (OSTI)

12% of the nation's electricity. Hydropower produces more than 90,000 megawatts of electricity, which is enough to meet the needs of 28.3 million consumers. Hydropower accounts for over 90% of all electricity the NAO. ENERGY CONSUMPTION AND PRODUCTION IN NORWAY AND THE NAO The demand for heating oil in Norway

223

Whole-house measurements of standby power consumption  

E-Print Network (OSTI)

kWh/year of non-heating electricity consumption correlatesof electricity consumption. The home at 20,000 kWh/year has

Ross, J.P.; Meier, Alan

2000-01-01T23:59:59.000Z

224

End-use energy consumption estimates for US commercial buildings, 1989  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs within the Department of Energy, by utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1989 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Billing data for electricity and natural gas were first decomposed into weather and nonweather dependent loads. Subsequently, Statistical Adjusted Engineering (SAE) models were estimated by building type with annual data. The SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption. End-use consumption by fuel was estimated for each of the 5,876 buildings in the 1989 CBECS. The report displays the summary results for eleven separate building types as well as for the total US commercial building stock.

Belzer, D.B.; Wrench, L.E.; Marsh, T.L. [Pacific Northwest Lab., Richland, WA (United States)

1993-11-01T23:59:59.000Z

225

Household Vehicles Energy Consumption 1991  

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

a regular basis at the time of the 1990 RECS personal interviews. Electricity: See Main Heating Fuel. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991...

226

Water and Sustainability (Volume 4): U.S. Electricity Consumption for Water Supply and Treatment -- The Next Half Century  

Science Conference Proceedings (OSTI)

The fast growing demand for clean, fresh water -- coupled with the need to protect and enhance the environment -- has made many areas of the United States and the rest of the world vulnerable to water shortages for various human uses. As they interact with the electricity industry, these uses encompass agricultural irrigation, thermoelectric generation, municipal water/wastewater treatment and distribution, and industrial processes. The dependency of electricity supply and demand on water availability ca...

2002-03-01T23:59:59.000Z

227

Table F28: Wind Energy Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F28: Wind Energy Consumption Estimates, 2011 State Commercial Industrial Electric Power Total Commercial Industrial Electric Power Total

228

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

Buildings, 2003 Electricity Consumption Electricity Expenditures per Building (thousand kWh) per Square Foot (kWh) Distribution of Building-Level Intensities (kWhsquare foot)...

229

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

C2. Energy Consumption Estimates for Major Energy Sources in Physical Units, 2011 State Coal Natural Gas a Petroleum Nuclear Electric Power Hydro- electric Power f Fuel Ethanol g...

230

Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease  

Gasoline and Diesel Fuel Update (EIA)

Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Miscellaneous States Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14 1980's 34 12 27 31 14 25 41 13 28 39 1990's 22 14 11 9 11 32 28 31 17 54 2000's 19 19 20 14 12 14 19 15 9 78 2010's 10 104 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/1/2013 Next Release Date: 8/1/2014 Referring Pages: Associated-Dissolved Natural Gas Proved Reserves, Wet After Lease Separation, as of Dec. 31

231

Electric Power Annual  

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

F. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2001 - 2011 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities...

232

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network (OSTI)

I. Azevedo. 2012, Electricity consumption and energy savingsMcKenney. 2007. Energy consumption by consumer electronicsK. Roth. 2011. Energy Consumption of Consumer Electronics in

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

233

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

E-Print Network (OSTI)

5-5. 1993 Electricity Consumption Estimates by End Use forft ) 1993 Electricity Consumption Estimates by End Use forTotal) 1993 Electricity Consumption Estimates by End Use for

Konopacki, S.J.

2010-01-01T23:59:59.000Z

234

Manufacturing Energy Consumption Survey (MECS) - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

How can we compare or add up our energy consumption? To compare or aggregate energy consumption across different energy sources like oil, natural gas, and electricity ...

235

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

236

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

237

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

E-Print Network (OSTI)

CONSUMPTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .Consumption . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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

2004-01-01T23:59:59.000Z

238

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)

239

Using occupancy to reduce energy consumption of buildings  

E-Print Network (OSTI)

breakdown of the energy consumption of the CSE mixed- useFigure 3.7: The energy consumption of HVAC during ourSpring 2011 tests - Energy consumption for electricity and

Balaji, Bharathan

2011-01-01T23:59:59.000Z

240

Heating fuel choice shows electricity and natural gas roughly ...  

U.S. Energy Information Administration (EIA)

Consumption & Efficiency. ... electric power plant emissions. ... computers, electronics and other devices is powered only by electricity.

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

Electric  

U.S. Energy Information Administration (EIA)

Average Retail Price of Electricity to ... Period Residential Commercial Industrial ... or usage falling within specified limits by rate ...

242

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

U.S. Energy Information Administration (EIA)

Vehicle Energy Consumption Survey Data; ... The major users are residential and commercial buildings, industry, transportation, and electric power generators.

243

Chapter 2. Consumption of Fossil Fuels - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

48 U.S. Energy Information Administration/Electric Power Monthly June 2012 Chapter 2. Consumption of Fossil Fuels

244

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.

245

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.

246

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.

247

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.

248

Electric Power Annual  

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

C. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2001 - 2011 (Million Cubic Feet) Electric Power Sector Period Total (all sectors)...

249

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

250

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

251

Effects of the drought on California electricity supply and demand  

E-Print Network (OSTI)

Electrical Energy Consumption in California: Data Collection and Analysis,"analysis of electricity requirements for irrigated agri- electrical energy

Benenson, P.

2010-01-01T23:59:59.000Z

252

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.

253

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.

254

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.

255

Electricity  

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

Electricity is an essential part of modern life. The Energy Department is working to create technology solutions that will reduce our energy use and save Americans money.

256

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

257

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).

258

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

259

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

260

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

E-Print Network (OSTI)

solar-assisted gas-fired boiler heating, a thermal wall assembly, high performance lighting, and high-efficiency

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

2007-01-01T23:59:59.000Z

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

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

E-Print Network (OSTI)

U.S. Department of Energy, Washington, DC. August 22. ---.sum.html. Washington, DC: Energy Information Administration,2005). Washington, DC: Energy Information Administration,

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

2007-01-01T23:59:59.000Z

262

Field data collection of miscellaneous electrical loads in Northern California: Initial results  

E-Print Network (OSTI)

and a convection oven that allows pre-heating like a typicalToaster ovens have fast warm-up infrared heating elements at

Greenblatt, Jeffery B.

2013-01-01T23:59:59.000Z

263

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

E-Print Network (OSTI)

whole-house level and sub-metering of select “major” end-monitored. The detailed sub-metering needed to measureCivano homes, but the sub-metering was performed at a much

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

2007-01-01T23:59:59.000Z

264

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

E-Print Network (OSTI)

operating modes, e.g. , off or standby). The mean low-powertranslates to a continuous standby power draw of about 50and water heating (standby power for an instantaneous gas

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

2007-01-01T23:59:59.000Z

265

Field data collection of miscellaneous electrical loads in Northern California: Initial results  

E-Print Network (OSTI)

with Rising Sun’s free energy audit program known as thetarget for performing energy audits, the incremental effortprescheduled for the energy audits. Training Process We met

Greenblatt, Jeffery B.

2013-01-01T23:59:59.000Z

266

Field data collection of miscellaneous electrical loads in Northern California: Initial results  

E-Print Network (OSTI)

1. Individual device metering (e.g. , Cheung et al. 2012,al. 2012). In general, device metering is the most accuratemetered data. The field metering activity described in this

Greenblatt, Jeffery B.

2013-01-01T23:59:59.000Z

267

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

E-Print Network (OSTI)

low-energy homes with solar PV systems. To estimate annualhave roof-mounted solar photovoltaic (PV) systems (IBACOSand features a 2 kW PV system, solar hot water, solar-

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

2007-01-01T23:59:59.000Z

268

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

E-Print Network (OSTI)

LBNL-62440 Appliances, Lighting, Electronics, andUniversity of California. Appliances, Lighting, Electronics,The “Other” end-uses (appliances, lighting, electronics, and

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

2007-01-01T23:59:59.000Z

269

Daylighting, dimming, and the electricity crisis in California  

E-Print Network (OSTI)

electricity consumption was over 10% lower than in the previous year.electricity consumption at the Federal Building remains relatively constant throughout the year.consumption of electricity is relatively constant over a year,

Rubinstein, Francis; Neils, Danielle; Colak, Nesrin

2001-01-01T23:59:59.000Z

270

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network (OSTI)

Ducts Total Electricity Consumption (kWh/year) ity ni x FrDucts Total Electricity Consumption (kWh/year) nt a ni x Fryear. Furnace blowers account for about 80% of the total furnace electricity consumption

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

271

Technical and Behavioral Energy Savings Opportunities with Home...  

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

90-3122 (DC Office) Join us to hear about and discuss the latest field research on electricity consumption by consumer electronics and other miscellaneous electricity uses...

272

MISCELLANEOUS PAPER S71-17 EARTHQUAKE RESISTANCE OF EARTH AND ROCK-FILL DAMS  

Office of Legacy Management (LM)

MISCELLANEOUS PAPER S71-17 MISCELLANEOUS PAPER S71-17 EARTHQUAKE RESISTANCE OF EARTH AND ROCK-FILL DAMS Report 2 ANALYSIS OF RESPONSE O F RIFLE.GAP D A M TO PROJECT RULISON UNDERGROUND NUCLEAR DETONATION bv J. E. Ahlberg, J. Fowler, L W. Heller ........ . . . . . . . . - . . . . . . . . . . . . . . . - . . - ...... *- , .... . . . - ->-w-J- * - : - . . June 1972 s~omsored by Office, Chief of Engineers, U. S. Army Conducted by U. S. A m y Engineer Waterways Experiment Station Soils and Pavements Laboratory Vicksburg, Mississippi APPROVED FOR WBLlC RELEASE: DISTRIBUTION UNLIMITED L i s t o f Associated Reports Previous reports under Engineering Study 540 are: "A Comparative Summary o f Current Earth Dam Analysis Methods for Earthquake Response," issued by Office, Chief o f Engineers, a s Inclosure 1 to Engineer

273

Recovery of fissile materials from plutonium residues, miscellaneous spent nuclear fuel, and uranium fissile wastes  

SciTech Connect

A new process is proposed that converts complex feeds containing fissile materials into a chemical form that allows the use of existing technologies (such as PUREX and ion exchange) to recover the fissile materials and convert the resultant wastes to glass. Potential feed materials include (1) plutonium scrap and residue, (2) miscellaneous spent nuclear fuel, and (3) uranium fissile wastes. The initial feed materials may contain mixtures of metals, ceramics, amorphous solids, halides, and organics. 14 refs., 4 figs.

Forsberg, C.W.

1997-03-01T23:59:59.000Z

274

ELECTRIC  

Office of Legacy Management (LM)

ELECTRIC cdrtrokArJclaeT 3 I+ &i, y I &OF I*- j< t j,fci..- ir )(yiT E-li, ( -,v? Cl -p4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson...

275

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)

Survey on Electricity Consumption Characteristics of Homethe stakes for energy consumption are high, as we hope atAir Conditioning Energy Consumption in Developing Countries

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

276

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)

electricity consumption (million BTUs per person) in year t.electricity consumption of 2.09-4.98% for the year 2006.electricity consumption - ranging from 3-5% in the year

Aroonruengsawat, Anin

2010-01-01T23:59:59.000Z

277

DOE/EIA-0318/1 Nonresidential Buildings Energy Consumption Survey...  

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

1 Nonresidential Buildings Energy Consumption Survey: 1979 Consumption and Expenditures D Part I: Natural Gas and Electricity March 1983 Energy Information Administration...

278

RESIDENTIAL ENERGY CONSUMPTION SURVEY 1997 CONSUMPTION AND ...  

U.S. Energy Information Administration (EIA)

Residential Sector energy Intensities for 1978-1997 using data from EIA Residential Energy Consumption Survey.

279

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

280

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.

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

Electronics Come of Age: A Taxonomy for Miscellaneous and Low Power Products  

E-Print Network (OSTI)

Consult. 2004. Appliance Standby Power Consumption: StoreHuber, Wolfgang. 1997. Standby Power Consumption in U.S.62301 Ed 1: Measurement of Standby Power. 2005. Kawamoto,

Nordman, Bruce; Sanchez, Marla C.

2006-01-01T23:59:59.000Z

282

Electric Power Monthly - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Fossil Fuel Consumption for Electricity Generation by Year, Industry Type and State: Questions/comments: Electricity data experts. Latest Electricity Trends.

283

Saving Electricity | Department of Energy  

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

perform a number of electrical functions, including measuring the power and energy consumption of plug-in electrical appliances and devices. November 30, 2009 Energy Efficiency...

284

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

285

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

286

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

287

Household energy consumption and expenditures 1993  

Science Conference Proceedings (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

288

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

E-Print Network (OSTI)

of electricity, and transmission and distribution losses asof electricity, and transmission and distribution losses astotal electricity consumption by distribution transformers

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

2005-01-01T23:59:59.000Z

289

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"

290

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

291

Miscellaneous publications  

Science Conference Proceedings (OSTI)

... Laser Cooling to the Zero Point Energy of Motion ... Precise Test of Quantum Jump Theory," Phys ... Spatial Anisotropy by Use of Nuclear-Spin-Polarized ...

2012-08-14T23:59:59.000Z

292

Miscellaneous Concerns  

Science Conference Proceedings (OSTI)

A Typical Day at the Center. Parents often ask “What does my child do all day?” This is a wonderful question! The activities ...

2013-06-21T23:59:59.000Z

293

Using Wireless Power Meters to Measure Energy Use of Miscellaneous and Electronic Devices in Buildings  

Science Conference Proceedings (OSTI)

Miscellaneous and electronic devices consume about one-third of the primary energy used in U.S. buildings, and their energy use is increasing faster than other end-uses. Despite the success of policies, such as Energy Star, that promote more efficient miscellaneous and electronic products, much remains to be done to address the energy use of these devices if we are to achieve our energy and carbon reduction goals. Developing efficiency strategies for these products depends on better data about their actual usage, but very few studies have collected field data on the long-term energy used by a large sample of devices due to the difficulty and expense of collecting device-level energy data. This paper describes the development of an improved method for collecting device-level energy and power data using small, relatively inexpensive wireless power meters. These meters form a mesh network based on Internet standard protocols and can form networks of hundreds of metering points in a single building. Because the meters are relatively inexpensive and do not require manual data downloading, they can be left in the field for months or years to collect long time-series energy use data. In addition to the metering technology, we also describe a field protocol used to collect comprehensive, robust data on the miscellaneous and electronic devices in a building. The paper presents sample results from several case study buildings, in which all the plug-in devices for several homes were metered, and a representative sample of several hundred plug-in devices in a commercial office building were metered for several months.

UC Berkeley, Berkeley, CA USA; Brown, Richard; Lanzisera, Steven; Cheung, Hoi Ying (Iris); Lai, Judy; Jiang, Xiaofan; Dawson-Haggerty, Stephen; Taneja, Jay; Ortiz, Jorge; Culler, David

2011-05-24T23:59:59.000Z

294

Factors of material consumption  

E-Print Network (OSTI)

Historic consumption trends for materials have been studied by many researchers, and, in order to identify the main drivers of consumption, special attention has been given to material intensity, which is the consumption ...

Silva Díaz, Pamela Cristina

2012-01-01T23:59:59.000Z

295

EIA - Electric Power Data  

U.S. Energy Information Administration (EIA)

... 423 and FERC-423) Contains data on electricity generation, fuel consumption, useful thermal output, fossil fuel stocks, fuel deliveries, quantity delivered, ...

296

Manufacturing Energy Consumption Survey (MECS) - Data - U.S ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and ... 2010 MECS Survey Data 2010 | 2006 ... Table 5.7 By Region with Total Consumption of Electricity (physical ...

297

Table 2.1 Energy Consumption by Sector (Trillion Btu)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 23 Table 2.1 Energy Consumption by Sector (Trillion Btu) End-Use Sectors Electric

298

Table F24: Wood and Biomass Waste Consumption Estimates, 2011  

U.S. Energy Information Administration (EIA)

Table F24: Wood and Biomass Waste Consumption Estimates, 2011 State Wood Wood and Biomass Waste a Residential Commercial Industrial Electric Power ...

299

Using occupancy to reduce energy consumption of buildings.  

E-Print Network (OSTI)

??Buildings account for 73% of the total electricity consumption in the US. To get an in depth view of where this energy is consumed within… (more)

Balaji, Bharathan

2011-01-01T23:59:59.000Z

300

Table F17: Coal Consumption Estimates and Imports and Exports ...  

U.S. Energy Information Administration (EIA)

Table F17: Coal Consumption Estimates and Imports and Exports of Coal Coke, 2011 State Coal Coal Coke Residential a Commercial Industrial Electric ...

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

All Consumption Tables  

U.S. Energy Information Administration (EIA)

2010 Consumption Summary Tables. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2010 (Trillion Btu) ... Ranked by State, 2010

302

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

303

Glass material oxidation and dissolution system: Converting miscellaneous fissile materials to glass  

SciTech Connect

The cold war and the development of nuclear energy have resulted in significant inventories of miscellaneous fissile materials (MFMs). MFMs include (1) plutonium scrap and residue, (2) miscellaneous spent nuclear fuel (SNF), (3) certain hot cell wastes, and (4) many one-of-a-kind materials. Major concerns associated with the long-term management of these materials include: safeguards and nonproliferation issues; health, environment, and safety concerns. waste management requirements; and high storage costs. These issues can be addressed by converting the MFMs to glass for secure, long-term storage or repository disposal; however, conventional glass-making processes require oxide-like feed materials. Converting MFMs to oxide-like materials with subsequent vitrification is a complex and expensive process. A new vitrification process has been invented, the Glass Material Oxidation and Dissolution System (GMODS), which directly converts metals, ceramics, and amorphous solids to glass; oxidizes organics with the residue converted to glass; and converts chlorides to borosilicate glass and a secondary sodium chloride (NaCl) stream. Laboratory work has demonstrated the conversion of cerium (a plutonium surrogate), uranium, Zircaloy, stainless steel, multiple oxides, and other materials to glass. However, significant work is required to develop GMODS further for applications at an industrial scale. If implemented, GMODS will provide a new approach to manage these materials.

Forsberg, C.W.; Ferrada, J.J.

1996-03-19T23:59:59.000Z

304

Predicting summer energy consumption from homeowners attitudes  

SciTech Connect

Two surveys examined the relationship between homeowners attitudes toward energy use and their actual summer electric consumption. In Survey 1, 56 couples filled out questionnaires concerning their energy attitudes. A factor analysis of their responses revealed four factors: comfort and health concerns, effort to conserve and monetary savings, role of the individual, and legitimacy of the energy crisis. The factors were entered into a multiple regression analysis to predict actual summer electric consumption. The attitudinal factors together significantly accounted for 55% of the variance in summer electric consumption. The comfort and health factor by itself explained 30% of the consumption variance. Survey 2, consisting of 69 couples, was conducted to elaborate the meaning of the factors. The results of the factor analysis of Survey 2 revealed six factors: comfort, health, individual's role, belief in science, legitimacy of the energy crisis, and effort to conserve. An overall regression analysis showed that the factors significantly explained nearly 60% of the summer consumption variance. The comfort factor was again the best predictor of summer electric consumption, accounting for 42% of the variance. It was concluded that attitudes about one's comfort are significantly related to household energy consumption (primarily air conditioning). The implications for energy conservation campaigns were discussed. 10 references, 3 tables.

Seligman, C.; Kriss, M.; Darley, J.M.; Fazio, R.H.; Becker, L.J.; Pryor, J.B.

1979-01-01T23:59:59.000Z

305

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,

306

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,

307

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

308

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

309

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.

310

State energy data report 1996: Consumption estimates  

Science Conference Proceedings (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

311

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.

312

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

E-Print Network (OSTI)

to calculate national energy consumption and savings. Theto calculate national energy consumption and savings. Thenational electricity generation and primary energy consumption

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

2005-01-01T23:59:59.000Z

313

Does EIA have city or county-level energy consumption and price ...  

U.S. Energy Information Administration (EIA)

Electricity sales (a proxy for end-use consumption) and prices for distribution utilities. ... tariff, and demand charge data? How is electricity used in U.S. homes?

314

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.

315

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

316

Consumption Technical Notes  

U.S. Energy Information Administration (EIA)

as street lighting and public services; and the Manufacturing Energy Consumption Survey covers only manufacturing establishments,

317

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.

318

U.S. Residential Miscellaneous Refrigeration Products: Results from Amazon Mechanical Turk Surveys  

E-Print Network (OSTI)

refrigerator operate with propane as well as electricity? [freezer operate with propane as well as electricity? [cooler operate with propane as well as electricity? [

Greenblatt, Jeffery B.

2013-01-01T23:59:59.000Z

319

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

320

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

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

Fuel Consumption - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The Energy Information Administration, Residential Energy Consumption Survey(RTECS), 1994 Fuel Consumption

322

Estimating carbon dioxide emissions factors for the California electric power sector  

E-Print Network (OSTI)

whose electricity consumption remains stable over the year,electricity generation and fuel consumption for both the 1990 and 1999 test years,

Marnay, Chris; Fisher, Diane; Murtishaw, Scott; Phadke, Amol; Price, Lynn; Sathaye, Jayant

2002-01-01T23:59:59.000Z

323

Actinide partitioning-transmutation program final report. IV. Miscellaneous aspects. [Transport; fuel fabrication; decay; policy; economics  

Science Conference Proceedings (OSTI)

This report discusses seven aspects of actinide partitioning-transmutation (P-T) which are important in any complete evaluation of this waste treatment option but which do not fall within other major topical areas concerning P-T. The so-called miscellaneous aspects considered are (1) the conceptual design of a shipping cask for highly neutron-active fresh and spent P-T fuels, (2) the possible impacts of P-T on mixed-oxide fuel fabrication, (3) alternatives for handling the existing and to-be-produced spent fuel and/or wastes until implementation of P-T, (4) the decay and dose characteristics of P-T and standard reactor fuels, (5) the implications of P-T on currently existing nuclear policy in the United States, (6) the summary costs of P-T, and (7) methods for comparing the risks, costs, and benefits of P-T.

Alexander, C.W.; Croff, A.G.

1980-09-01T23:59:59.000Z

324

Sampling and Analysis Plan for Flammable Gases in Inactive Miscellaneous Underground Storage Tanks  

Science Conference Proceedings (OSTI)

This sampling and analysis plan (SAP) identifies the field measurements for a screening of flammable gases in the vapor space of the inactive miscellaneous underground storage tanks (IMUSTs) currently assigned to the River Protection Project (RPP). If a measurement exceeds 25% of the lower flammability limit (LFL), vapor grab samples will be collected for laboratory analysis. This SAP also specifies the sample collection, laboratory analysis, quality assurance/quality control (QA/QC), and reporting objectives for grab sampling. Technical bases for the sampling objectives are provided in the Tank Safety Screening Data Quality Objectives (Dukelow et al 1995). The screening data will be used to determine if additional data are needed to support closure of a flammable gas unreviewed safety question for these facilities.

NGUYEN, D.M.

2000-02-01T23:59:59.000Z

325

Household energy and consumption and expenditures, 1990. Supplement, Regional  

Science Conference Proceedings (OSTI)

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

Not Available

1993-03-02T23:59:59.000Z

326

Analysis of federal incentives used to stimulate energy consumption  

SciTech Connect

Conclusions of an analysis which identifies and quantifies Federal incentives that have increased the consumption of coal, oil, natural gas, and electricity are summarized. Data on estimated cost of incentives used to stimulate energy consumption by incentive type and energy source are tabulated for coal, oil, gas, and electricity. It is suggested that the examination of past incentives can be useful in developing guidelines and limits for the use of incentives to stimulate consumption of solar energy. (MCW)

Cole, R.J.; Cone, B.W.; Emery, J.C.; Huelshoff, M.; Lenerz, D.E.; Marcus, A.; Morris, F.A.; Sheppard, W.J.; Sommers, P.

1981-04-01T23:59:59.000Z

327

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

Gasoline and Diesel Fuel Update (EIA)

plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity...

328

Electric Power Monthly - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Electricty Data Browser (interactive query tool with charting & mapping) Summary; Sales (consumption), revenue, ... Electric power plants generating capacity;

329

EIA - State Electricity Profiles - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. Energy use in homes ...

330

EIA - State Electricity Profiles - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Consumption & Efficiency. Energy use in homes, commercial buildings, manufacturing, and transportation. ... More Tables on New Hampshire's Electricity Profile: Formats;

331

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 2.5.A. Consumption of Coal for Electricity Generation by State, by Sector, July 2013 and July 2012 (Thousand Tons) Electric Power Sector ; Census Division

332

Activity: Conserving Electric Energy | Department of Energy  

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

for their dependency on electricity and (2) learn how regulating the rate of energy consumption makes the energy source last longer. Activity: Conserving Electric Energy More...

333

Conserving Electric Energy | Department of Energy  

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

for their dependency on electricity, and learn how regulating the rate of energy consumption makes the energy source last longer. Conserving Electric Energy - Elementary...

334

State energy data report 1994: Consumption estimates  

Science Conference Proceedings (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

335

UK Energy Consumption by Sector The energy consumption data consists...  

Open Energy Info (EERE)

Consumption by Sector The energy consumption data consists of five spreadsheets: "overall data tables" plus energy consumption data for each of the following...

336

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

337

Residential Energy Consumption Survey (RECS) - Energy Information  

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

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

338

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

339

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

340

Connected Consumption: The hidden networks of consumption  

E-Print Network (OSTI)

In this paper, we present the Connected Consumption Network (CCN) that allows a community of consumers to collaboratively sense the market from a mobile device, enabling more informed financial decisions in geo-local ...

Reed, David P.

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

Results from the investigations on leaking electricity in the USA  

E-Print Network (OSTI)

a standby electricity consumption of 5.4 TWh per year. Thereelectricity consumption in the standby mode compared to the on mode in kWh per year.

Meier, Alan; Huber, Wolfgang

1997-01-01T23:59:59.000Z

342

Results from the investigations on leaking electricity in the USA  

E-Print Network (OSTI)

paper presents measurements of standby energy consumption ofin the U.S. Abstract Standby electricity use or leakingaccounts for 25% of standby consumption, and communication

Meier, Alan; Huber, Wolfgang

1997-01-01T23:59:59.000Z

343

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

344

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

345

World energy consumption  

Science Conference Proceedings (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

346

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

347

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

348

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

349

Renewable Energy Trends in Consumption and Electricity  

U.S. Energy Information Administration (EIA)

Solar Thermal/PV 575,155 550,294 507,706 611,793 ... Form EIA-923, "Power Plant Operations Report," and predecessor forms: Form EIA-906, "Power Plant Report ...

350

Renewable Energy Consumption and Electricity Preliminary 2007 ...  

U.S. Energy Information Administration (EIA)

Nevada generated from central station solar power for the first time in 2007 with the opening of the 64 MW Nevada Solar One plant in Boulder City.

351

Renewable Energy Trends in Consumption and Electricity  

U.S. Energy Information Administration (EIA)

ireds113 _fnt1 _fnt2 _fnt3 _fntref1 _fntref2 _fntref3 Total New England -Middle Atlantic East North Central

352

Renewable Energy Trends in Consumption and Electricity  

U.S. Energy Information Administration (EIA)

ireds112 _fnt1 _fnt2 _fnt3 _fntref1 _fntref2 _fntref3 Total Renewable Total Biomass Waste Landfill Gas Geothermal Hydroelectric Conventional Solar Thermal/PV

353

Reducing Transient and Steady State Electricity Consumption  

E-Print Network (OSTI)

Learning-Based Model-Predictive Control Energy efficiency improvement in HVAC systems is investigated in this paper; a model-predictive control strategy is proposed to maintain comfortable temperature. By Anil a control strategy that uses learning-based model-predictive control (MPC) to learn and compensate

California at Berkeley, University of

354

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)

electricity consumption for 2006 by five-digit zipelectricity consumption by zip code for the periods 2020 toSummary statistics for zip codes in and out of

Aroonruengsawat, Anin

2010-01-01T23:59:59.000Z

355

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

356

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).

357

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 . .

358

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

359

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

360

Table WH6. Average Consumption for Water Heating by Major Fuels ...  

U.S. Energy Information Administration (EIA)

Major Fuels Used 5 (physical units of consumption per household using the fuel as a water heating source) Electricity (kWh) Table WH6. Average Consumption for Water ...

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

Status report for inactive miscellaneous underground storage tanks at Hanford Site 200 Areas  

DOE Green Energy (OSTI)

The purpose of this status report is to summarize updated data and information from the FY 1994 strategy plan that is associated with inactive miscellaneous underground storage tanks (IMUSTs). Assumptions and processes to assess potential risks and operational concerns are documented in this report. Safety issue priorities are ranked based on a number of considerations. Sixty-three IMUSTs have been Identified and placed on the official IMUST list. All the tanks are associated with past Hanford Site operations. Of the 63 tanks., 19 are catch tanks, 20 are vault tanks, 3 are neutralization tanks, 8 are settling tanks, 2 are solvent makeup tanks used to store hexone, 2 are flush tanks, 3 are decontamination tanks, 1 is a diverter station, 1 is a receiver tank, 1 is an experimental tank, and 3 are waste handling tanks. It is important to proactively deal with the risks Imposed by these 63 tanks, and at the same time not jeopardize the existing commitments and schedules for mitigating and resolving identified safety issues related to the 177 SSTs and DSTS. Access controls and signs have been placed on all but the three official IMUSTs added most recently. An accelerated effort to identify authorization documents and perform unreviewed safety question (USQ) screening has been completed. According to a set of criteria consistent with the safety screening data quality objective (DQO) process, 6 IMUSTs are ranked high related to the hydrogen generation potential safety Issue, 1 is ranked high related to the ferrocyanide potential safety issue, 6 are ranked high related to the flammability potential safety issue, and 25 are ranked high related to the vapor emissions potential safety issue.

Powers, T.B.

1995-10-01T23:59:59.000Z

362

Electric power monthly  

SciTech Connect

The Energy Information Administration (EIA) prepares the Electric Power Monthly (EPM) for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source, consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

1995-08-01T23:59:59.000Z

363

978-3-901882-56-2 c 2013 IFIP Effective Consumption Scheduling for Demand-Side  

E-Print Network (OSTI)

grids hold the promise of connecting electricity producers, consumers, and prosumers (who act as both their consumption behavior every day. I. INTRODUCTION Today's electricity sector faces significant challenges consumption in a group of Irish residential homes occurs in the evening. Maximum electricity production

Diggavi, Suhas

364

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

365

Heating Degree Day Data Applied to Residential Heating Energy Consumption  

Science Conference Proceedings (OSTI)

Site-specific total electric energy and heating oil consumption for individual residences show a very high correlation with National Weather Service airport temperature data when transformed to heating degree days. Correlations of regional total ...

Robert G. Quayle; Henry F. Diaz

1980-03-01T23:59:59.000Z

366

AEO2011: Energy Consumption by Sector and Source - West South...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.
2011-08-01T19:02:48Z 2011-08-04T15:59:26Z http:www.eia.govoiafaeo...

367

AEO2011: Energy Consumption by Sector and Source - New England...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.
2011-08-01T18:48:13Z 2011-08-31T17:26:50Z http:www.eia.govoiafaeo...

368

AEO2011: Energy Consumption by Sector and Source - East North...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.

2011-08-01T18:53:34Z 2011-08-23T22:30:24Z...

369

AEO2011: Energy Consumption by Sector and Source - East South...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.
2011-08-01T19:00:44Z 2011-08-04T16:01:41Z http:www.eia.govoiafaeo...

370

AEO2011: Energy Consumption by Sector and Source - United States...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.
2011-08-01T19:10:42Z 2011-08-04T15:37:20Z http:www.eia.govoiafaeo...

371

AEO2011: Energy Consumption by Sector and Source - West North...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.
2011-08-01T18:55:30Z 2011-08-23T22:29:34Z http:www.eia.govoiafaeo...

372

AEO2011: Energy Consumption by Sector and Source - Mountain ...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.
2011-08-01T19:04:37Z 2011-08-04T15:57:20Z http:www.eia.govoiafaeo...

373

AEO2011: Energy Consumption by Sector and Source - South Atlantic...  

Open Energy Info (EERE)

residential, commercial, industrial, transportation, electric power and total energy consumption.
2011-08-01T18:57:56Z 2011-08-04T18:09:40Z http:www.eia.govoiafaeo...

374

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

375

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

376

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

377

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

378

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

379

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

380

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

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

Energy-consumption modelling  

SciTech Connect

A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

Reiter, E.R.

1980-01-01T23:59:59.000Z

382

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

383

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

384

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

385

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 ..........

386

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)

387

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.

388

Electronics Come of Age: A Taxonomy for Miscellaneous and Low Power Products  

E-Print Network (OSTI)

electric Oven, gas Refrigerator Water heating Water heating,Heating pad Hot plate (kitchen) Iron Juicer Kettle Knife Mug warmer Oven,

Nordman, Bruce; Sanchez, Marla C.

2006-01-01T23:59:59.000Z

389

Electronics Come of Age: A Taxonomy for Miscellaneous and Low Power Products  

E-Print Network (OSTI)

professionals, e.g. “dishwasher” or “TV, CRT”. Product typeselectronic devices (e.g. dishwasher controls) unless it is aelectric Cooktop, gas Dishwasher Freezer Oven, electric

Nordman, Bruce; Sanchez, Marla C.

2006-01-01T23:59:59.000Z

390

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

391

Closure Report for Corrective Action Unit 547: Miscellaneous Contaminated Waste Sites, Nevada National Security Site, Nevada  

SciTech Connect

This Closure Report (CR) presents information supporting closure of Corrective Action Unit (CAU) 547, Miscellaneous Contaminated Waste Sites, and provides documentation supporting the completed corrective actions and confirmation that closure objectives for CAU 547 were met. This CR complies with the requirements of the Federal Facility Agreement and Consent Order (FFACO) that was agreed to by the State of Nevada; the U.S. Department of Energy (DOE), Environmental Management; the U.S. Department of Defense; and DOE, Legacy Management (FFACO, 1996 as amended). CAU 547 consists of the following three Corrective Action Sites (CASs), located in Areas 2, 3, and 9 of the Nevada National Security Site: (1) CAS 02-37-02, Gas Sampling Assembly; (2) CAS 03-99-19, Gas Sampling Assembly; AND (3) CAS 09-99-06, Gas Sampling Assembly Closure activities began in August 2011 and were completed in June 2012. Activities were conducted according to the Corrective Action Decision Document/Corrective Action Plan (CADD/CAP) for CAU 547 (U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office [NNSA/NSO], 2011). The recommended corrective action for the three CASs in CAU 547 was closure in place with administrative controls. The following closure activities were performed: (1) Open holes were filled with concrete; (2) Steel casings were placed over vertical expansion joints and filled with cement; (3) Engineered soil covers were constructed over piping and exposed sections of the gas sampling system components; (4) Fencing, monuments, Jersey barriers, radiological postings, and use restriction (UR) warning signs were installed around the perimeters of the sites; (5) Housekeeping debris was picked up from around the sites and disposed; and (6) Radiological surveys were performed to confirm final radiological postings. UR documentation is included in Appendix D. The post-closure plan was presented in detail in the CADD/CAP for CAU 547 and is included as Appendix F of this report. The requirements are summarized in Section 5.2 of this report. The proposed post-closure requirements consist of visual inspections to determine the condition of postings and radiological surveys to verify contamination has not migrated. NNSA/NSO requests the following: (1) A Notice of Completion from the Nevada Division of Environmental Protection to NNSA/NSO for closure of CAU 547; and (2) The transfer of CAU 547 from Appendix III to Appendix IV, Closed Corrective Action Units, of the FFACO.

NSTec Environmental Restoration

2012-07-17T23:59:59.000Z

392

Renewable electricity production grows in Texas - Today in ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. Consumption & Efficiency. ... electric power plant emissions.

393

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.

394

Addendum to the Closure Report for Corrective Action Unit 547: Miscellaneous Contaminated Waste Sites, Nevada National Security Site, Nevada  

Science Conference Proceedings (OSTI)

This addendum to the Closure Report for Corrective Action Unit 547: Miscellaneous Contaminated Waste Sites, Nevada National Security Site, Nevada, DOE/NV--1480, dated July 2012, documents repairs of erosion and construction of engineered erosion protection features at Corrective Action Site (CAS) 02-37-02 (MULLET) and CAS 09-99-06 (PLAYER). The final as-built drawings are included in Appendix A, and photographs of field work are included in Appendix B. Field work was completed on March 11, 2013.

none,

2013-07-31T23:59:59.000Z

395

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. ChinaÂ’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

396

Table CE1-4c. Total Energy Consumption in U.S. Households by Type ...  

U.S. Energy Information Administration (EIA)

Total Energy Consumption in U.S. Households by Type of Housing Unit, 2001 RSE Column Factor: Total ... where the end use is electric air-conditioning, ...

397

Table 2.1c Commercial Sector Energy Consumption Estimates, 1949 ...  

U.S. Energy Information Administration (EIA)

1 See "Primary Energy Consumption" in Glossary. 9 Wind electricity net generation (converted to Btu using the fossil-fuels heat rate—see Table A6).

398

Table 1.3 Primary Energy Consumption Estimates by Source, 1949 ...  

U.S. Energy Information Administration (EIA)

Table 1.3 Primary Energy Consumption Estimates by Source, 1949-2011 (Quadrillion Btu) Year: Fossil Fuels: Nuclear Electric Power

399

Table 2.8 Motor Vehicle Mileage, Fuel Consumption, and Fuel ...  

U.S. Energy Information Administration (EIA)

Greenhouse gas data, voluntary report- ing, electric power plant emissions. ... Table 2.8 Motor Vehicle Mileage, Fuel Consumption, and Fuel Economy, 1949-2010:

400

Table WH3. Total Consumption for Water Heating by Major Fuels Used ...  

U.S. Energy Information Administration (EIA)

Table WH3. Total Consumption for Water Heating by Major Fuels Used, 2005 Physical Units Electricity (billion kWh) Natural Gas (billion cf) Fuel Oil

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

Table WH10. Consumption Intensity by Main Water Heating Fuel Used ...  

U.S. Energy Information Administration (EIA)

Main Water Heating Fuel Used (physical units/number of household members) Electricity Table WH10. Consumption Intensity by Main Water Heating Fuel Used, 2005

402

Table AP2. Total Consumption for Home Appliances and Lighting by ...  

U.S. Energy Information Administration (EIA)

Total Consumption for Home Appliances and Lighting by Fuels Used, 2005 Physical Units U.S. Households (millions) Fuels Used (physical units) Electricity (billion kWh)

403

Converting Site Electricity to Include Generation and Transmission...  

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

Evaluation of Electricity Consumption in the Manufacturing Division The energy intensities presented in this report do not reflect adjustments for losses in electricity generation...

404

Mechanical and Regenerative Braking Integration for a Hybrid Electric Vehicle.  

E-Print Network (OSTI)

??Hybrid electric vehicle technology has become a preferred method for the automotive industry to reduce environmental impact and fuel consumption of their vehicles. Hybrid electric… (more)

DeMers, Steven Michael

2008-01-01T23:59:59.000Z

405

Smarter Meters Help Customers Budget Electric Service Costs  

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

1) two-way communications which allow customers to monitor their electricity consumption and take steps to better manage their electric bills; 2) a voluntary, pre-payment...

406

Electric sales and revenue: 1993  

SciTech Connect

The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour data provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1993. Operating revenue includes energy charges, demand charges, consumer service charges, environmental surcharges, fuel adjustments, and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. Because electric rates vary based on energy usage, average revenue per kilowatthour are affected by changes in the volume of sales. The sales of electricity, associated revenue, and average revenue per kilowatthour data provided in this report are presented at the national, Census division, State, and electric utility levels.

Not Available

1995-01-01T23:59:59.000Z

407

Corresponding author: Tel. (617) 253-3901, Fax. (617) 253-9845, Email: jrm1@mit.edu THE FUTURE OF COAL CONSUMPTION IN A CARBON CONSTRAINED WORLD  

E-Print Network (OSTI)

of coal consumption in the US and European electric power sectors to carbon prices, natural gas prices and natural gas prices are determined endogenously. Coal consumption in the US electric power sector increases consumption is most highly dependent upon the carbon price. Coal consumption is less sensitive to natural gas

408

Electric power monthly  

SciTech Connect

The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed for the North American Electric Reliability Council (NERC) regions. Additionally, statistics by company and plant are published in the EPM on capability of new plants, new generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel.

1992-05-01T23:59:59.000Z

409

EIA Average Energy Consumption 2005  

U.S. Energy Information Administration (EIA)

Table US8. Average Consumption by Fuels Used, 2005 Physical Units per Household Fuels Used (physical units of consumption per household using the fuel)

410

Household Energy Consumption and Expenditures  

Reports and Publications (EIA)

Presents information about household end use consumption of energy and expenditures for that energy. These data were collected in the 2005 Residential Energy Consumption Survey (RECS)

Information Center

2008-09-01T23:59:59.000Z

411

Household Vehicles Energy Consumption 1991  

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

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

412

Manufacturing Consumption of Energy 1991  

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

J Related EIA Publications on Energy Consumption Energy Information AdministrationManufacturing Consumption of Energy 1991 526 Appendix J Related EIA Publications on Energy...

413

Manufacturing Consumption of Energy 1991  

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

3. Energy Consumption in the Manufacturing Sector, 1991 In 1991, the amount of energy consumed in the manufacturing sector was as follows: * Primary Consumption of Energy for All...

414

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

5HVLGHQWLDO (QHUJ\\ &RQVXPSWLRQ 6XUYH\\V 1997 Consumption and Expenditures Tables Appliances Consumption Tables (17 pages, 60 kb) Contents Pages CE5-1c.

415

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

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

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

416

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

417

US MidAtl NY Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

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

418

US MidAtl NY Site Consumption  

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

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

419

Modelling Energy Consumption in China  

E-Print Network (OSTI)

Energy consumption in China has attracted considerable research interest since the middle 1990s. This is largely prompted by the environmental ramifications of the extensive use of fossil fuels in the country to propel two decades of high economic growth. Since the late 1980s, there has been an increasing awareness on the part of the Chinese government of the imperative for the balance of economic growth and environmental protection. The government has since taken various measures ranging from encouraging energy-saving practice, controlling waste discharges to financing R & D programs on improving energy efficiency. Against this backdrop has seen a constant decline of the energy intensity of the economy, measured as the ratio of total energy consumed in standard coal equivalent to the real GDP since 1989. Using the 1987 and 1997 input-output tables for China, the present study examines the impact of technical and structural changes in the economy on industry fuel consumption over the 10-year period. Technical changes are reflected in changes in direct input-output coefficients, which capture the technical evolvement of intermediate production processes. Structural changes refer to shifts in the pattern of final demand for energy, including the import and export composition of various fuels. Six fuels are included in the study, namely, coal, oil, natural gas, electricity, petroleum and coke and gas, which cover all of the energy types available in the input-output tables. It is found that the predominant force of falling energy intensity was changes in direct energy input requirements in various industries. Such changes were responsible for a reduction in the consumption of four of the six fuels per unit of total output. Structural changes were not conducive for improv...

Baiding Hu Department; Baiding Hu

2004-01-01T23:59:59.000Z

420

Elements of consumption: an abstract visualization of household consumption  

Science Conference Proceedings (OSTI)

To promote sustainability consumers must be informed about their consumption behaviours. Ambient displays can be used as an eco-feedback technology to convey household consumption information. Elements of Consumption (EoC) demonstrates this by visualizing ... Keywords: a-life, eco-feedback, household consumption, sustainability

Stephen Makonin; Philippe Pasquier; Lyn Bartram

2011-07-01T23:59:59.000Z

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

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

422

International Energy Outlook 2001 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

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

423

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

424

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

425

Amtrak fuel consumption study  

Science Conference Proceedings (OSTI)

This report documents a study of fuel consumption on National Railroad Passenger Corporation (Amtrak) trains and is part of an effort to determine effective ways of conserving fuel on the Amtrak system. The study was performed by the Transportation Systems Center (TSC). A series of 26 test runs were conducted on Amtrak trains operating between Boston, Massachusetts, and New Haven, Connecticut, to measure fuel consumption, trip time and other fuel-use-related parameters. The test data were analyzed and compared with results of the TSC Train Performance Simulator replicating the same operations.

Hitz, J.

1981-02-01T23:59:59.000Z

426

Household energy consumption and expenditures 1987  

SciTech Connect

This report is the third in the series of reports presenting data from the 1987 Residential Energy Consumption Survey (RECS). The 1987 RECS, seventh in a series of national surveys of households and their energy suppliers, provides baseline information on household energy use in the United States. Data from the seven RECS and its companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are made available to the public in published reports such as this one, and on public use data files. This report presents data for the four Census regions and nine Census divisions on the consumption of and expenditures for electricity, natural gas, fuel oil and kerosene (as a single category), and liquefied petroleum gas (LPG). Data are also presented on consumption of wood at the Census region level. The emphasis in this report is on graphic depiction of the data. Data from previous RECS surveys are provided in the graphics, which indicate the regional trends in consumption, expenditures, and uses of energy. These graphs present data for the United States and each Census division. 12 figs., 71 tabs.

Not Available

1990-01-22T23:59:59.000Z

427

Potential for Reducing Consumption Through Distribution Efficiency  

Science Conference Proceedings (OSTI)

In 2007, EPRI released a Prism analysis, providing a technically and economically feasible roadmap for the electricity sector to reduce its greenhouse gas emissions. This approach has been extended to evaluate the utility distribution sector and opportunities to improve efficiency and reduce consumption. Possible improvements in efficiency are estimated by improvement category, including use of more efficient transformers and better reactive power management. Voltage optimization is a significant option ...

2010-12-31T23:59:59.000Z

428

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Electricity Consumption Total Energy. Topics Analysis & Projections Environment Markets & Finance Today in Energy. Geography States Countries Maps. Tools A-Z Index

429

Saving Electrical Energy in Commercial Buildings.  

E-Print Network (OSTI)

??With the commercial and institutional building sectors using approximately 29% and 34% of all electrical energy consumption in Canada and the United States, respectively, saving… (more)

Case, Ryan

2012-01-01T23:59:59.000Z

430

Microsoft Word - Conserving Electric Energy.doc  

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

for their dependency on electricity and (2) learn how regulating the rate of energy consumption makes the energy source last longer. Objectives: Students will: * gain an...

431

Global Potential for Wind-Generated Electricity  

Science Conference Proceedings (OSTI)

... free, non-urban areas and operating at as little as 20% of their rated capacity, could supply >40 times current worldwide consumption of electricity ...

2010-10-05T23:59:59.000Z

432

EIA - Electricity Data - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table 2.6.A. Consumption of Petroleum Liquids for Electricity Generation by State, by Sector, September 2013 and September 2012 (Thousand Barrels) ...

433

Reduced power consumption in  

E-Print Network (OSTI)

and a potential energy savings of over $30 Billion/year. This new approach is demanded by the exponentiallyBenefits Reduced power consumption in IC devices; hence potential energy savings of 300 Billion KWh://www.sia- online.org) CuRIE Interconnect Technology for Improved Energy Efficiency in IC Chips ARPA-E Technology

434

Reduction of Water Consumption  

E-Print Network (OSTI)

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

Adler, J.

1985-05-01T23:59:59.000Z

435

Crisis and Consumption Smoothing  

Science Conference Proceedings (OSTI)

The dramatic impact of the current crisis on performance of businesses across sectors and economies has been headlining the business press for the past several months. Extant reconciliations of these patterns in the popular press rely on ad hoc reasoning. ... Keywords: consumer behavior, consumption smoothing, crisis, econometrics, marketing strategy

Pushan Dutt; V. Padmanabhan

2011-05-01T23:59:59.000Z

436

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

437

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

438

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

439

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

440

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

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

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

442

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

443

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

444

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

445

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

446

Residential energy-consumption survey: consumption and expenditures, April 1978-March 1979  

SciTech Connect

Tables present data on energy consumption and expenditures for US households during a 12-month period. The total amount of energy consumed by the residential sector from April 1978 through March 1979 is estimated to have been 10,563 trillion Btu with an average household consumption of 138 million Btu. Table 1 summarizes residential energy consumption for all fuels (totals and averages) as wells as total amounts consumed and expenditures for each of the major fuel types (natural gas, electricity, fuel oil, and liquid petroleum gas). Tables 2 and 3 give the number of households and the average energy prices, respectively, for each of the major fuel types. In Tables 4 to 9, totals and averages for both consumption and expenditures are given for each of the major fuels. The consumption of each fuel is given first for all households using the fuel. Then, households are divided into those that use the fuel as their main source of heat and those using the fuel for other purposes. Electricity data (Tables 5 to 7) are further broken down into households that use electricity for air conditioning and those not using it for this purpose. Limited data are also presented on households that use each of the major fuels for heating water. Each of the consumption tables is given for a variety of general household features, including: geographical, structural and physical, and demographic characteristics. Tables 10 to 18 present the same information for the subgroup of households living in single-family owner-occupied detached houses. The third set of tables (19 to 27) is limited to households that paid directly for all of the energy they used. Tables 28 to 36 provide variance estimates for the data.

Not Available

1980-07-01T23:59:59.000Z

447

Electrical engineering Electricity  

E-Print Network (OSTI)

generation Transmission Distribution · Electrical generators · Electric motors · High voltage engineering associated with the systems Electrical engineering · Electric power generation Transmission Distribution The electricity transported to load locations from a power station transmission subsystem The transmission system

Ã?nay, Devrim

448

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

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

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

449

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

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

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

450

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

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

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

451

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

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

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

452

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

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

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

453

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

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

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

454

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

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

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

455

Electric power monthly, April 1993  

Science Conference Proceedings (OSTI)

The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-05-07T23:59:59.000Z

456

Electric power monthly, May 1993  

SciTech Connect

The Electric Power Monthly (EPM) is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions.

Not Available

1993-05-25T23:59:59.000Z

457

Household energy and consumption and expenditures, 1990. [Contains Division, Census Region, and Climate Zone maps  

Science Conference Proceedings (OSTI)

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

Not Available

1993-03-02T23:59:59.000Z

458

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

459

A WLAN SCHEDULING ALGORITHM TO REDUCE THE ENERGY CONSUMPTION OF A DISTRIBUTED SPEECH RECOGNITION FRONT-END  

E-Print Network (OSTI)

and planned consumption needs, agreed electric power deliveries and agreed electric power import, in order) as well as the other power plants, telecommunication system, information system and other infrastructure 3590108 Source: EPS Supply and consumption of electric power of 2004 and 2005 is given in Table 5

Simunic, Tajana

460

Data Center Power Consumption  

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

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

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

Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

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

462

Major Corporate Fleets Align to Reduce Oil Consumption | Department of  

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

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

463

Major Corporate Fleets Align to Reduce Oil Consumption | Department of  

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

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

464

World Energy Consumption by Fuel Type, 1970-2020  

Gasoline and Diesel Fuel Update (EIA)

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

465

Miscellaneous: Uruguay energy supply options study assessing the market for natural gas - executive summary.  

SciTech Connect

Uruguay is in the midst of making critical decisions affecting the design of its future energy supply system. Momentum for change is expected to come from several directions, including recent and foreseeable upgrades and modifications to energy conversion facilities, the importation of natural gas from Argentina, the possibility for a stronger interconnection of regional electricity systems, the country's membership in MERCOSUR, and the potential for energy sector reforms by the Government of Uruguay. The objective of this study is to analyze the effects of several fuel diversification strategies on Uruguay's energy supply system. The analysis pays special attention to fuel substitution trends due to potential imports of natural gas via a gas pipeline from Argentina and increasing electricity ties with neighboring countries. The Government of Uruguay has contracted with Argonne National Laboratory (ANL) to study several energy development scenarios with the support of several Uruguayan institutions. Specifically, ANL was asked to conduct a detailed energy supply and demand analysis, develop energy demand projections based on an analysis of past energy demand patterns with support from local institutions, evaluate the effects of potential natural gas imports and electricity exchanges, and determine the market penetration of natural gas under various scenarios.

Conzelmann, G.; Veselka, T.; Decision and Information Sciences

2008-03-04T23:59:59.000Z

466

Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand. Part 1. Methodology and Preliminary Results.  

E-Print Network (OSTI)

electricity consumption for the end-use in the current yearelectricity consumption for this end-use in the current yearelectricity consumption for this end-use in the current year

Coughlin, Katie

2013-01-01T23:59:59.000Z

467

Energy Information Administration - Commercial Energy Consumption Survey-  

Gasoline and Diesel Fuel Update (EIA)

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

468

End-use energy consumption estimates for U.S. commercial buildings, 1992  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs of the US Department of Energy, utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1992 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Statistical Adjusted Engineering (SAE) models were estimated by building type. The nonlinear SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption (based upon utility billing information). End-use consumption by fuel was estimated for each of the 6,751 buildings in the 1992 CBECS. The report displays the summary results for 11 separate building types as well as for the total US commercial building stock. 4 figs., 15 tabs.

Belzer, D.B.; Wrench, L.E.

1997-03-01T23:59:59.000Z

469

Feedback as a means of decreasing residential energy consumption. Report PU/CES 34  

SciTech Connect

When residential units are analyzed in human factor terms, it is apparent that the consumption level feedback (typically a bill, calculated once a month, over all appliances) is inadequate to give the resident useful information about his energy consuming actions. The present study tested the hypothesis that providing immediate feedback to homeowners concerning their daily rate of electric usage would be effective in reducing electric consumption. In the studied homes, central air-conditioning is the largest single source of electric power consumption during the summer. Accordingly, it was possible to predict the household's expected electric consumption in terms of the average daily outdoor temperature. Predicted electric consumption was derived from a previous month's modeling period during which a regression line was fitted to predict consumption from average daily temperature, for each home. Feedback was expressed as a percentage of actual consumption over predicted consumption. Feedback was displayed to homeowners four times a week for approximately one month. The results confirmed the prediction. Before feedback began, the feedback and control groups were consuming electricity at approximately equal rates. During the feedback period, the feedback group used 10.5 percent less electricity. The effectiveness of the feedback procedure was explained in terms of its cueing, motivational, and commitment functions.

Seligman, C.; Darley, J.M.

1976-08-01T23:59:59.000Z

470

Table E3.1. Fuel Consumption, 1998  

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

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

471

Table 4.3 Offsite-Produced Fuel Consumption, 2002  

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

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

472

2009 Energy Consumption Per Person  

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

Per capita energy consumption across all sectors of the economy. Click on a state for more information.

473

Can I generate and sell electricity to an electric utility? - FAQ ...  

U.S. Energy Information Administration (EIA)

How many alternative fuel and hybrid vehicles are there in the U.S.? How much U.S. energy consumption and electricity generation comes from renewable sources?

474

Energy Consumption by Source  

Gasoline and Diesel Fuel Update (EIA)

petroleum but on natural gas as well. MD and VA also use natural gas, but also use coal and nuclear and some hydro power. These fuels are important in the production of electricity...

475

US MidAtl PA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

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

476

US MidAtl PA Site Consumption  

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

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

477

Electricity supply chain coordination based on quantity discount contracts  

Science Conference Proceedings (OSTI)

Electricity supply chain coordination mechanism from the fuel supply, power generation and transmission to electricity consumption has become an important research topic to ease electric coal supply conflicts. In this paper, based on the quantity discount ...

Yu Dai; Hongming Yang; Jiajie Wu

2009-02-01T23:59:59.000Z

478

The model electric restaurant  

SciTech Connect

Restaurants are the most intensive users of energy of all types of commercial buildings. As a result, they have some of the highest energy costs. New and existing restaurants are important customers to electric utilities. Many opportunities exist to use electricity to improve restaurant energy performance. This report discusses a project in which computer simulations were used to investigate restaurant energy subsystem performance and to assess the potential for electric equipment to reduce energy consumption, reduce peak demand improve load factors, and reduce energy cost in new all-electric restaurants. The project investigated typical restaurant designs for all-electric and gas/electric facilities and compared them to high efficiency electric options in all-electric restaurants. This analysis determined which investiments in high-efficiency electric equipment are attractive for restaurant operators. Improved equipment for food preparation, heating and cooling, ventilation, sanitation, and lighting subsystem was studied in cafeteria, full menu, fast food, and pizza restaurants in Atlanta, Cleveland, Los Angeles, and Phoenix. In addition to the actual rate structures, four synthetic rate structures were used to calculate energy costs, so that the results can be applied to other locations. The results indicate that high efficiency and improved all-electric equipment have the potential for significantly reducing energy consumption, peak demand, and operating costs in almost all restaurants in all locations. The all-electric restaurants, with a combination of improved equipment, also offer the customer a competitive choice in fuels in most locations. 12 refs., 26 figs., 55 tabs.

Frey, D.J.; Oatman, P.A. (Architectural Energy Corp., Boulder, CO (USA)); Claar, C.N. (Pennsylvania State Univ., University Park, PA (USA))

1989-12-01T23:59:59.000Z

479

ENERGY CONSUMPTION SURVEY  

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

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

480

Margins up; consumption down  

SciTech Connect

The results of a survey of dealers in the domestic fuel oil industry are reported. Wholesale prices, reacting to oversupply, decreased as did retail prices; retail prices decreased at a slower rate so profit margins were larger. This trend produced competitive markets as price-cutting became the method for increasing a dealer's share of the profits. Losses to other fuels decreased, when the figures were compared to earlier y; and cash flow was very good for most dealers. In summary, profits per gallon of oil delivered increased, while the consumption of gasoline per customer decreased. 22 tables.

Mantho, M.

1983-09-01T23:59:59.000Z

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

Reducing Greenhouse Emissions and Fuel Consumption  

E-Print Network (OSTI)

the Emissions and Fuel Consumption Impacts of IntelligentTravel Time, Fuel Consumption and Weigh Station Efficiency.EMISSIONS AND FUEL CONSUMPTION - Sustainable Approaches for

Shaheen, Susan; Lipman, Timothy

2007-01-01T23:59:59.000Z

482

Essays on consumption cycles and corporate finance  

E-Print Network (OSTI)

and the consumption cycle . . . . . . . . . . . . .3.1.6 Optimal consumption, expenditures and1.3.2 Optimal nondurable consumption and durable

Issler, Paulo Floriano

2013-01-01T23:59:59.000Z

483

Milk consumption and acne in adolescent girls  

E-Print Network (OSTI)

Milk consumption and acne in adolescent girls Clement Aassociation between milk consumption and occurrence of acneand 'don't drink milk'. Consumption of the specific types of

2006-01-01T23:59:59.000Z

484

A Note on the Consumption Function  

E-Print Network (OSTI)

Zeldes, S. (1989) ‘ Consumption and Liquidity Constraints:A Note on the Consumption Function Douglas G.Steigerwald Consumption Function The international

Steigerwald, Douglas G

2009-01-01T23:59:59.000Z

485

Stock Market and Consumption: Evidence from China  

E-Print Network (OSTI)

A. 1992. Understanding Consumption. Cambridge, UK: CambridgeStock market wealth and consumption. The Journal of Economic139–146. Stock Market and Consumption: Evidence from China

Hau, Leslie C

2011-01-01T23:59:59.000Z

486

Electric sales and revenue 1992, April 1994  

SciTech Connect

The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1992. The electric revenue reported by each electric utility includes the applicable revenue from kilowatthours sold; revenue from income; unemployment and other State and local taxes; energy, demand, and consumer service charges; environmental surcharges; franchise fees; fuel adjustments; and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. The sales of electricity, associated revenue, and average revenue per kilowatthour provided in this report are presented at the national, Census division, State, and electric utility levels.

Not Available

1994-04-20T23:59:59.000Z

487

Indexes of Consumption and Production  

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

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

488

Table 3.1 Fuel Consumption, 2010;  

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

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

489

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

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

490

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

year consumption estimates. DISCUSSION The Importance of Miscellaneous ElectricityConsumption of New Equipment Index kWh/Year MMBtu/Year MMBtu/Year ElectricityConsumption of Equipment in Existing Homes Index kWh/Year MMBtu/Year MMBtu/Year Electricity

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

491

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

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

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

492

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

Gasoline and Diesel Fuel Update (EIA)

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

493

Manufacturing Consumption of Energy 1991--Combined Consumption and Fuel  

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

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

494

Residential Energy Consumption Survey Results: Total Energy Consumption,  

Open Energy Info (EERE)

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

495

Energy consumption and usage characteristics from field measurements of residential dishwashers, clothes washers and clothes dryers  

SciTech Connect

The measured energy consumption and usage characteristics for household dishwashers, clothes washers, and clothes dryers for ten townhouses at Twin Rivers, N.J., are presented. Whenever the dishwashers and/or clothes washers were in use, the energy consumption, water consumption, frequency of usage, and water temperature were measured by a data acquisition system. The electrical energy of electric clothes dryers and the gas consumption of gas clothes dryers were measured, as well as their frequency and duration of use, and exhaust temperature. Typical household usage patterns of these major appliances are included.

Chang, Y.L.; Grot, R.A.

1980-10-01T23:59:59.000Z

496

The electricity system vulnerability of selected European countries to climate change.  

E-Print Network (OSTI)

?? The electricity system is particularly susceptible to climate change due to the close interconnectedness between not only electricity production and consumption to climate, but… (more)

Klein, Daniel R.

2012-01-01T23:59:59.000Z

497

Cost-Benefit Analysis of Plug-In Hybrid Electric Vehicle Technology  

DOE Green Energy (OSTI)

This paper presents a comparison of the costs and benefits (reduced petroleum consumption) of plug-in hybrid electric vehicles relative to hybrid electric and conventional vehicles.

Markel, T.; Simpson, A.

2006-01-01T23:59:59.000Z

498

Field Testing Plug-in Hybrid Electric Vehicles with Charge Control...  

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

over future resource availability and the environmental impacts of continued fossil-fuel consumption. Plug-in hybrid electric vehicles (PHEVs), electric vehicles, and fuel cell...

499

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

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

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

500

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

E-Print Network (OSTI)

electricity consumption of 12kWh assuming 2.5 kg per load and 250 cycles per yearelectricity consumption annual growth rates for the three scenarios for every decade, since standards levels are applied every 10 years.

Letschert, Virginie

2010-01-01T23:59:59.000Z