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

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)

2

Electricity Consumption Electricity Consumption EIA Electricity Consumption Estimates  

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

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

3

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

4

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.

2012-01-01T23:59:59.000Z

5

Reduces electric energy consumption  

E-Print Network [OSTI]

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

6

OpenEI - Electricity Consumption  

Open Energy Info (EERE)

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

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

7

Valley Electric Association- Net Metering  

Broader source: Energy.gov [DOE]

The Board of Directors for Valley Electric Association (VEA) approved net metering in April 2008. The rules apply to systems up to 30 kW, though owners of larger systems may be able to negotiate...

8

Ashland Electric- Net Metering  

Broader source: Energy.gov [DOE]

In 1996, Ashland adopted a net-metering program that includes simple interconnection guidelines. The program encourages the adoption of renewable-energy systems by committing the city to purchase,...

9

Issues in International Energy Consumption Analysis: Electricity...  

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

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

10

World Net Nuclear Electric Power Generation, 1980-2007 - Datasets...  

Open Energy Info (EERE)

U.S. Energy Information ... World Net Nuclear Electric ... Dataset Activity Stream World Net Nuclear Electric Power Generation, 1980-2007 International data showing world net...

11

Analyzing electricity consumption via data mining  

Science Journals Connector (OSTI)

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

Jinshuo Liu; Huiying Lan; Yizhen Fu; Hui Wu…

2012-04-01T23:59:59.000Z

12

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

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

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

13

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

14

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

15

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

16

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

17

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

18

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

19

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

20

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

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


21

Electricity Demand and Energy Consumption Management System  

E-Print Network [OSTI]

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

Sarmiento, Juan Ojeda

2008-01-01T23:59:59.000Z

22

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

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

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

23

Electricity Consumption Simulation Based on Multi-agent System  

Science Journals Connector (OSTI)

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

Minjie Xu; Zhaoguang Hu; Baoguo Shan…

2009-01-01T23:59:59.000Z

24

Standby electricity consumption and saving potentials of Turkish households  

Science Journals Connector (OSTI)

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

Mustafa Cagri Sahin; Merih Aydinalp Koksal

2014-01-01T23:59:59.000Z

25

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

E-Print Network [OSTI]

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

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

26

Impacts of Electric Vehicles on Primary Energy Consumption and Petroleum Displacement  

E-Print Network [OSTI]

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

Wang, Quanlu; Delucchi, Mark A.

1991-01-01T23:59:59.000Z

27

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

E-Print Network [OSTI]

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

Verleysen, Michel

28

Montana Electric Cooperatives - Net Metering | Department of Energy  

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

Electric Cooperatives - Net Metering Electric Cooperatives - Net Metering Montana Electric Cooperatives - Net Metering < Back Eligibility Commercial Residential Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Montana Program Type Net Metering Provider Montana Electric Cooperatives' Association The Montana Electric Cooperatives' Association (MECA) adopted model interconnection guidelines in 2001 and a revised net-metering policy in September 2008. Net metering is available in whole or part by most of the 26 electric cooperatives in Montana. A map of the service areas of each of member cooperative is available on the MECA web site. To determine if a specific cooperative offers net metering, view the MECA

29

Farmington Electric Utility System - Net Metering | Department of Energy  

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

Farmington Electric Utility System - Net Metering Farmington Electric Utility System - Net Metering Farmington Electric Utility System - Net Metering < Back Eligibility Residential Savings Category Energy Sources Buying & Making Electricity Solar Home Weatherization Water Wind Program Info State New Mexico Program Type Net Metering Provider Farmington Electric Utility System Net metering rules developed by the New Mexico Public Regulation Commission (PRC) apply to the state's investor-owned utilities and electric cooperatives. Municipal utilities, which are not regulated by the commission, are exempt from the PRC rules but authorized to develop their own net metering programs. Farmington Electric, a municipal utility, offers net metering to residential customers with systems up to 10 kilowatts (kW) in capacity.

30

Investment appraisal of technology innovations on dairy farm electricity consumption  

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

31

Reducing Occupant-Controlled Electricity Consumption in Campus Buildings  

E-Print Network [OSTI]

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

Doudna, Jennifer A.

32

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

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

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

33

On Minimizing the Energy Consumption of an Electrical Vehicle  

E-Print Network [OSTI]

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

Abdelkader Merakeb

2011-04-20T23:59:59.000Z

34

Electricity consumption and economic growth empirical evidence from Pakistan  

Science Journals Connector (OSTI)

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

Muhammad Shahbaz; Mete Feridun

2012-08-01T23:59:59.000Z

35

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

36

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

37

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

38

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

39

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

40

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

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

Scotia Energy Electricity - Net Metering Program (Nova Scotia, Canada) |  

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

Scotia Energy Electricity - Net Metering Program (Nova Scotia, Scotia Energy Electricity - Net Metering Program (Nova Scotia, Canada) Scotia Energy Electricity - Net Metering Program (Nova Scotia, Canada) < Back Eligibility Agricultural Commercial Industrial Low-Income Residential Multi-Family Residential Residential Schools Savings Category Water Buying & Making Electricity Home Weatherization Solar Wind Program Info State Nova Scotia Program Type Net Metering Provider Nova Scotia Power, Inc Nova Scotia Power Inc. Net Metering allows residential and commercial customers to connect small, renewable energy generating units to the provincial power grid. Generating units that produce renewable energy such as wind, solar, small hydro or biomass can be added to homes or businesses with the addition of a bi-directional meter. This meter monitors the electricity generated by the

42

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

E-Print Network [OSTI]

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

Wang, Xiaorui "Ray"

43

A regression approach to infer electricity consumption of legacy telecom equipment  

E-Print Network [OSTI]

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

Fisher, Kathleen

44

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

45

The nexus between electricity consumption and economic growth in Bahrain  

Science Journals Connector (OSTI)

Abstract This paper explores the relationship between electricity consumption, foreign direct investment, capital and economic growth in the case of the Kingdom of Bahrain. The Cobb–Douglas production is used over the period of 1980Q1–2010Q4. We have applied the ARDL bounds testing approach and found that cointegration exists among the series. Electricity consumption, foreign direct investment and capital add in economic growth. The VECM Granger causality analysis has exposed the feedback effect between electricity consumption and economic growth and the same is true for foreign direct investment and electricity consumption. This study suggests government authorities to explore new sources of energy to achieve sustainable economic development for the long run.

Helmi Hamdi; Rashid Sbia; Muhammad Shahbaz

2014-01-01T23:59:59.000Z

46

Robust electricity consumption modeling of Turkey using Singular Value Decomposition  

Science Journals Connector (OSTI)

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

Kadir Kavaklioglu

2014-01-01T23:59:59.000Z

47

Trends in worldwide ICT electricity consumption from 2007 to 2012  

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

48

Sustainable Aspects of Electricity Consumption in Klang Valley  

Science Journals Connector (OSTI)

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

Nehzat Jalalkamali; Mohamed Yusoff Abbas

2014-01-01T23:59:59.000Z

49

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

50

Quantitative modelling of electricity consumption using computational intelligence aided design  

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

51

Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013- Dataset  

Broader source: Energy.gov [DOE]

Excel file with dataset for Fact #838: Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013

52

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

Science Journals Connector (OSTI)

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

Lei Dong; JianJun Xia; Yi Jiang

2014-01-01T23:59:59.000Z

53

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.

54

The effect of tree shade on home summer electrical consumption  

E-Print Network [OSTI]

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

Rudie, Raymond Joseph

2012-06-07T23:59:59.000Z

55

Petri net based evaluation of energy consumption in wireless sensor nodes  

Science Journals Connector (OSTI)

Wireless Sensor Networks have proven their capability to deal with problems where wide and hardly accessible areas need to be monitored. Among the other systems there are also sensor networks in which nodes can voluntarily modify their positions to better ... Keywords: Environmental Monitoring, Fluid Stochastic Petri Nets, Power Consumption Modelling, Power-Aware Systems

Maurizio D'Arienzo; Mauro Iacono; Stefano Marrone; Roberto Nardone

2013-10-01T23:59:59.000Z

56

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

57

Electricity consumption of telecommunication equipment to achieve a telemeeting  

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

58

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

59

Model for electric energy consumption in eastern Saudi Arabia  

SciTech Connect (OSTI)

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

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

1997-05-01T23:59:59.000Z

60

An integrated fuzzy regression algorithm for improved electricity consumption estimation  

Science Journals Connector (OSTI)

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

Ali Azadeh; Morteza Saberi; Anahita Gitiforouz

2010-01-01T23:59:59.000Z

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


61

The electricity consumption impacts of commercial energy management systems  

SciTech Connect (OSTI)

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

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

1989-02-01T23:59:59.000Z

62

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

Science Journals Connector (OSTI)

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

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

2013-12-01T23:59:59.000Z

63

Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013  

Broader source: Energy.gov [DOE]

When compared to total U.S. consumption of petroleum, net imports were only 33% in 2013. The share of imported petroleum reached a peak of 60% in 2005, from a low of 27% in 1985. Since 2005, the...

64

Table 11.2 Electricity: Components of Net Demand, 2010;  

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

2 Electricity: Components of Net Demand, 2010; 2 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million Kilowatthours. Sales and Net Demand Economic Total Onsite Transfers for Characteristic(a) Purchases Transfers In(b) Generation(c) Offsite Electricity(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 91,909 Q 1,406 194 93,319 20-49 86,795 81 2,466 282 89,060 50-99 90,115 215 2,593 1,115 91,808 100-249 124,827 347 11,375 5,225 131,324 250-499 116,631 2,402 24,079 5,595 137,516 500 and Over 225,242 6,485 91,741 20,770 302,699 Total 735,520 9,728 133,661 33,181 845,727 Employment Size Under 50

65

Table 11.1 Electricity: Components of Net Demand, 2010;  

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

1.1 Electricity: Components of Net Demand, 2010; 1.1 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 75,652 21 5,666 347 80,993 3112 Grain and Oilseed Milling 16,620 0 3,494 142 19,972 311221 Wet Corn Milling 7,481 0 3,213 14 10,680 31131 Sugar Manufacturing 1,264 0 1,382 109 2,537 3114 Fruit and Vegetable Preserving and Specialty Foods 9,258 0 336 66 9,528 3115 Dairy Products 9,585 2 38 22 9,602 3116 Animal Slaughtering and Processing 20,121 15 19 0 20,155 312 Beverage and Tobacco Products

66

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

67

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)

68

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

69

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

E-Print Network [OSTI]

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

Lockhead, S.

70

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

Science Journals Connector (OSTI)

Abstract Knowledge of climate dependency of building energy consumption is useful for predicting the impacts of climate change and urban heat island on energy demand and associated carbon emissions, and to evaluate and improve building energy performance. Climate dependent electricity consumption is examined in this study for four office buildings in Adelaide, the capital city of South Australia with a warm-summer Mediterranean climate. Influences of both outdoor temperature and specific humidity on building electricity consumption are analyzed using the multiple linear regression, based on both sub-daily and monthly electricity consumption data. The results indicate that there is a daytime mean temperature threshold of around 17 °C, above which, electricity consumption increases with air temperature. Specific humidity also contributes to interpreting the temporal variability of office hour electricity consumption. Daytime temperature and specific humidity together determine 80–90% of office hour electricity consumption variation for days with mean daytime temperature above the threshold temperature. Office building daily electricity consumption can be examined with monthly electricity consumption data of a period of three years. The results also suggest that heatwaves may increase office building electricity demand by up to 50%, and that one degree warming can increase annual office electricity consumption by 2% in Adelaide.

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

2014-01-01T23:59:59.000Z

71

Sustainability in the Electricity Production and Consumption System – A Consumers’ Perspective  

Science Journals Connector (OSTI)

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

Doris Fuchs; Sylvia Lorek

2010-01-01T23:59:59.000Z

72

Cloud-Based Massive Electricity Data Mining and Consumption Pattern Discovery  

Science Journals Connector (OSTI)

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

Chen Ming; Cao Maoyong…

2014-01-01T23:59:59.000Z

73

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

Science Journals Connector (OSTI)

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

Feyza Gürbüz; Celal Öztürk; Panos Pardalos

2013-09-01T23:59:59.000Z

74

Table E13.1. Electricity: Components of Net Demand, 1998  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Electricity Components;" " Unit: Million Kilowatthours." " ",," "," ",," " ,,,,"Sales and","Net Demand","RSE" "Economic",,,"Total Onsite","Transfers","for","Row" "Characteristic(a)","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,"Total United States"

75

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

Science Journals Connector (OSTI)

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

Cornelia Kappler; Georg Riegel

2004-01-01T23:59:59.000Z

76

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

Science Journals Connector (OSTI)

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

Wu Min; Cao Jia-he

2012-01-01T23:59:59.000Z

77

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

Science Journals Connector (OSTI)

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

Lianhong Lv; Hong Luo; Baoliu Zhang

2012-12-01T23:59:59.000Z

78

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

Science Journals Connector (OSTI)

Abstract As a representative of modern energy, the level of electricity consumption can be regarded as an appraisal criterion of a country’s development level. This study analyses the causality between electricity consumption and human development and assesses the changing trend of electricity consumption. The models in this study are established using panel data from 1990–2009 for 50 countries divided into four groups according to income. For human development indicators, per-capita GDP, consumption expenditure, urbanisation rate, life expectancy at birth and the adult literacy rate were selected. The results show that long-run bidirectional causality exists between electricity consumption and five indicators. Additionally, the higher the income of a country, the greater is its electricity consumption and the higher is its level of human development. Further, the variables of four income-groupings vary considerably. Specifically, as income increases, the contribution of electricity consumption to GDP and consumption expenditure increases, but the urbanisation rate, life expectancy at birth and adult literacy rate present a weakening trend. This mainly because that the latter indicators in high-income countries are increasing to converge. To improve human development, electricity should be incorporated into the basic public services construction to enhance the availability of electricity for low-income residents.

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

2013-01-01T23:59:59.000Z

79

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

Science Journals Connector (OSTI)

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

Matthias Koch; Jochen Harnisch

2002-09-01T23:59:59.000Z

80

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

E-Print Network [OSTI]

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

Al-Tayar, I.

2011-01-01T23:59:59.000Z

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

Stand-by Electricity Consumption in Japanese Houses  

Science Journals Connector (OSTI)

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

Hidetoshi Nakagami; Akio Tanaka…

1999-01-01T23:59:59.000Z

82

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

Science Journals Connector (OSTI)

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

Edgar G. Hertwich; Charlotte Roux

2011-08-30T23:59:59.000Z

83

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

Science Journals Connector (OSTI)

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

1916-01-01T23:59:59.000Z

84

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

Science Journals Connector (OSTI)

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

George Papachristos

2015-01-01T23:59:59.000Z

85

Persuading Consumers to Reduce Their Consumption of Electricity in the Home  

Science Journals Connector (OSTI)

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

Alan F. Smeaton; Aiden R. Doherty

2013-01-01T23:59:59.000Z

86

Maritime Electric- Net Metering (Prince Edward Island, Canada)  

Broader source: Energy.gov [DOE]

In December 2005 The Renewable Energy Act and associated Regulations came into effect. A Government policy objective incorporated in the Act was the introduction of net metering for...

87

Electricity Net Generation From Renewable Energy by Energy Use Sector and  

Open Energy Info (EERE)

Net Generation From Renewable Energy by Energy Use Sector and Net Generation From Renewable Energy by Energy Use Sector and Energy Source, 2004 - 2008 Dataset Summary Description Provides annual net electricity generation (thousand kilowatt-hours) from renewable energy in the United States by energy use sector (commercial, industrial, electric power) and by energy source (e.g. biomas, solar thermal/pv). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords 2004 2008 Electricity net generation renewable energy Data application/vnd.ms-excel icon 2008_RE.net_.generation_EIA.Aug_.2010.xls (xls, 16.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2004 - 2008 License License Other or unspecified, see optional comment below Comment Rate this dataset

88

On Minimizing the Energy Consumption of an Electrical Vehicle  

E-Print Network [OSTI]

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

2011-04-19T23:59:59.000Z

89

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

Science Journals Connector (OSTI)

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

Néjib Chouaïbi; Tahar Abdessalem

2011-01-01T23:59:59.000Z

90

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

E-Print Network [OSTI]

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

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

91

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

Science Journals Connector (OSTI)

Abstract The purpose of this paper is to revisit the Granger causal relationship between electricity consumption and economic growth for 15 transition economies for the period 1975–2010 using a bootstrap panel causality approach that allows for both cross-sectional dependency and for heterogeneity across countries. Applying this approach, we found a unidirectional causality running from electricity consumption to economic growth only in Belarus and Bulgaria; from economic growth to electricity consumption in the Czech Republic, Latvia, Lithuania and the Russian Federation; bidirectional causality only in Ukraine while no Granger causality in any direction in Albania, Macedonia, Moldova, Poland, Romania, Serbia, Slovak Republic and Slovenia. These results show that there is a limited support for the electricity-led growth hypothesis. Nevertheless these different findings provide important implications for energy strategies and policies for transition countries.

Yemane Wolde-Rufael

2014-01-01T23:59:59.000Z

92

The economic effect of electricity net-metering with solar PV: Consequences for network cost recovery, cross subsidies and policy objectives  

Science Journals Connector (OSTI)

Abstract Net-metering is commonly known as a practice by which owners of distributed generation (DG) units may offset their electricity consumption from the grid with local generation. The increasing number of prosumers (consumers that both produce and consume electricity) with solar photovoltaic (PV) generation combined with net-metering results in reduced incomes for many network utilities worldwide. Consequently, this pushes utilities to increase charges per kW h in order to recover costs. For non-PV owners, this could result into inequality issues due to the fact that also non-PV owners have to pay higher chargers for their electricity consumed to make up for netted costs of PV-owners. In order to provide insight in those inequality issues caused by net-metering, this study presents the effects on cross-subsidies, cost recovery and policy objectives evolving from different applied netmetering and tariff designs for a residential consumer. Eventually this paper provides recommendations regarding tariffs and metering that will result in more explicit incentives for PV, instead of the current implicit incentives which are present to PV owners due to net-metering.

Cherrelle Eid; Javier Reneses Guillén; Pablo Frías Marín; Rudi Hakvoort

2014-01-01T23:59:59.000Z

93

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

94

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

E-Print Network [OSTI]

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

Gustafsson, Johanna

2009-01-01T23:59:59.000Z

95

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

Science Journals Connector (OSTI)

Abstract This study reexamines the causal link between electricity consumption, economic growth and CO2 emissions in the BRICS countries (i.e., Brazil, Russia, India, China, and South Africa) for the period 1990–2010, using panel causality analysis, accounting for dependency and heterogeneity across countries. Regarding the electricity–GDP nexus, the empirical results support evidence on the feedback hypothesis for Russia and the conservation hypothesis for South Africa. However, a neutrality hypothesis holds for Brazil, India and China, indicating neither electricity consumption nor economic growth is sensitive to each other in these three countries. Regarding the GDP–CO2 emissions nexus, a feedback hypothesis for Russia, a one-way Granger causality running from GDP to CO2 emissions in South Africa and reverse relationship from CO2 emissions to GDP in Brazil is found. There is no evidence of Granger causality between GDP and CO2 emissions in India and China. Furthermore, electricity consumption is found to Granger cause CO2 emissions in India, while there is no Granger causality between electricity consumption and CO2 emissions in Brazil, Russia, China and South Africa. Therefore, the differing results for the BRICS countries imply that policies cannot be uniformly implemented as they will have different effects in each of the BRICS countries under study.

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

2014-01-01T23:59:59.000Z

96

U.S. Electric Net Summer Capacity, 2004 - 2008 | OpenEI  

Open Energy Info (EERE)

Net Summer Capacity, 2004 - 2008 Net Summer Capacity, 2004 - 2008 Dataset Summary Description Provides total annual net electric summer capacity (in megawatts) for the United States, broken down by renewable energy source (e.g. biomass, solar thermal/pv) and the nonrenewable total. Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords biomass Electric Capacity geothermal PV solar thermal Summer wind Data application/vnd.ms-excel icon 2008_Net.Summer.Elec_.Capacity_EIA.Aug_.2010.xls (xls, 11.8 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period 2004 - 2008 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

97

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

98

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...

99

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

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

100

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

SciTech Connect (OSTI)

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

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

2011-02-24T23:59:59.000Z

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

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

102

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

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

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

103

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

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

104

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

Science Journals Connector (OSTI)

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

Luyang Wang; Tao Wang

2011-08-01T23:59:59.000Z

105

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

TRANSPORTATIONPHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

106

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

107

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"

108

Energy Consumption  

Science Journals Connector (OSTI)

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

Aki-Hiro Sato

2014-01-01T23:59:59.000Z

109

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

Science Journals Connector (OSTI)

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

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

2009-01-01T23:59:59.000Z

110

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

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

111

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:

112

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

Science Journals Connector (OSTI)

Abstract This study explores the effect of renewable and non-renewable electricity consumption on economic growth in 18 Latin American countries. To achieve the goal of this study a panel Gross Domestic Product (GDP) model was constructed taking the period 1980–2010 into account. From the Pedroni cointegration test results it was found that renewable electricity consumption, non-renewable electricity consumption, labor, gross fixed capital formation, and total trade are cointegrated. Moreover, the panel Dynamic Ordinary Least Squares (DOLS) test results revealed that all above the mentioned variables have a long run positive effect on GDP growth in the investigated countries. The Vector Error-Correction (VEC) Granger causality model results revealed the existence of feedback causality between the variables. The results of the study indicated that renewable electricity consumption is more significant than non-renewable electricity consumption in promoting economic growth in the investigated countries in the long run and the short run. Based on the results of this study, it is recommended that the investigated countries should increase their investment on renewable energy projects to increase the role of electricity consumption from renewable sources. In addition, it is essential that these countries should reduce their non-renewable electricity consumption by increasing their energy efficiency and implementing energy saving projects. By applying these recommendations, these countries would be able to mitigate global warming and reduce their dependency on fossil fuel to increase their energy security.

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

2014-01-01T23:59:59.000Z

113

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

Science Journals Connector (OSTI)

Abstract The present study explores the relationship between economic growth, electricity consumption, urbanization and environmental degradation in case of United Arab Emirates (UAE). The study covers the quarter frequency data over the period of 1975–2011. We have applied the ARDL bounds testing approach to examine the long run relationship between the variables in the presence of structural breaks. The VECM Granger causality is applied to investigate the direction of causal relationship between the variables. Our empirical exercise reported the existence of cointegration among the series. Further, we found an inverted U-shaped relationship between economic growth and CO2 emissions i.e. economic growth raises energy emissions initially and declines it after a threshold point of income per capita (EKC exists). Electricity consumption declines CO2 emissions. The relationship between urbanization and CO2 emissions is positive. Exports seem to improve the environmental quality by lowering CO2 emissions. The causality analysis validates the feedback effect between CO2 emissions and electricity consumption. Economic growth and urbanization Granger cause CO2 emissions.

Muhammad Shahbaz; Rashid Sbia; Helmi Hamdi; Ilhan Ozturk

2014-01-01T23:59:59.000Z

114

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...

115

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Colorado Program Type Net Metering Provider Colorado Public Utilities Commission [http://www.leg.state.co.us/clics/clics2009a/csl.nsf/fsbillcont3/571064D8... Senate Bill 51] of April 2009 made several changes, effective September 1, 2009, to the state's net metering rules for investor-owned utilities, as they apply to solar-electric systems. These changes include converting the maximum system size for solar-electric systems from two megawatts (MW) to 120% of the annual consumption of the site; redefining a site to include

116

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.

117

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

Science Journals Connector (OSTI)

Abstract This paper uses a sample of 36 countries for the time period 1990–2011 in order to examine the relationship between countries? electricity consumption from renewable sources and Gross Domestic Product (GDP) levels. Several nonparametric techniques are applied to investigate the effect of electricity consumption from several renewable sources including wind, geothermal, solar, biomass and waste on countries? GDP levels. When investigating the whole sample ignoring countries? economic development status, the results reveal an increasing relationship up to a certain GDP level, which after that point the effect of electricity consumption on GDP stabilises. However when analyzing separately the ‘Emerging Markets and Developing Economies’, and, the ‘Advanced-Developed Economies’, the results change significantly. For the case of Emerging Market and Developing Economies the relationship appears to be highly nonlinear (an M-shape form) indicating that on those countries the levels of electricity consumption from renewable sources will not result on higher GDP levels. In contrast for the case of the advanced economies the results reveal an increasing nonlinear relationship indicating that higher electricity consumption levels from renewable sources results to higher GDP levels. This finding is mainly attributed to the fact that in the advanced-developed economies more terawatts from renewable sources are generated and consumed compared to the emerging market and developing economies, which traditionally their economies rely on non-renewable sources for power generation and consumption.

George E. Halkos; Nickolaos G. Tzeremes

2014-01-01T23:59:59.000Z

118

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

Science Journals Connector (OSTI)

Abstract Assessing grid developments the spatial distribution of the electricity consumption is important. In Denmark the electricity grid consists of transmission – and local distribution grids with different voltages that are connected via transformer stations each covering a local area with between 10.000 and 100.000 customers. Data for the hourly electricity consumption at transformer stations shows that the profile of consumption differs considerably between local areas, and this is partly due to a different weight of categories of customers in the different areas. Categories of customers have quite distinct consumption profiles and contribute quite differently to the aggregated load profile. In forecasts, demand by categories of customers is expected to develop differently implying that both the level and the profile of consumption at each transformer stations are expected to change differently. Still, in the previous planning of the transmission grid in Denmark specific local conditions have not been considered. As a first step towards differentiated local load forecasts, the paper presents a new model for long term projections of consumption in local areas and illustrates a first use of the model related to the transmission grid planning by the Danish TSO Energinet.dk. The model is a distribution system that distributes hourly consumption in an aggregated area to hourly consumption at each transformer station. Using econometrics, the model is estimated on national statistics for the hourly consumption by categories of customers and data for the hourly consumption at each transformer station for the years 2009–2011. Applying the model for load forecasts, a major conclusion is that different transformer stations will experience different changes both in the level - and in the hourly profile of load.

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

2014-01-01T23:59:59.000Z

119

Impacts of Electric Vehicles on Primary Energy Consumption and Petroleum Displacement  

E-Print Network [OSTI]

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

Wang, Quanlu; Delucchi, Mark A.

1991-01-01T23:59:59.000Z

120

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

Science Journals Connector (OSTI)

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

Derek Tittle; Jingwen Qu

2013-01-01T23:59:59.000Z

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


121

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

122

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

123

Net Interchange Schedule Forecasting of Electric Power Exchange for RTO/ISOs  

SciTech Connect (OSTI)

Neighboring independent system operators (ISOs) exchange electric power to enable efficient and reliable operation of the grid. Net interchange (NI) schedule is the sum of the transactions (in MW) between an ISO and its neighbors. Effective forecasting of the amount of actual NI can improve grid operation efficiency. This paper presents results of a preliminary investigation into various methods of prediction that may result in improved prediction accuracy. The methods studied are linear regression, forward regression, stepwise regression, and support vector machine (SVM) regression. The work to date is not yet conclusive. The hope is to explore the effectiveness of other prediction methods and apply all methods to at least one new data set. This should enable more confidence in the conclusions.

Ferryman, Thomas A.; Haglin, David J.; Vlachopoulou, Maria; Yin, Jian; Shen, Chao; Tuffner, Francis K.; Lin, Guang; Zhou, Ning; Tong, Jianzhong

2012-07-26T23:59:59.000Z

124

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

125

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

E-Print Network [OSTI]

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

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

126

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

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

127

CO2 Capture Using Electric Fields: Low-Cost Electrochromic Film on Plastic for Net-Zero Energy Building  

SciTech Connect (OSTI)

Broad Funding Opportunity Announcement Project: Two faculty members at Lehigh University created a new technique called supercapacitive swing adsorption (SSA) that uses electrical charges to encourage materials to capture and release CO2. Current CO2 capture methods include expensive processes that involve changes in temperature or pressure. Lehigh University’s approach uses electric fields to improve the ability of inexpensive carbon sorbents to trap CO2. Because this process uses electric fields and not electric current, the overall energy consumption is projected to be much lower than conventional methods. Lehigh University is now optimizing the materials to maximize CO2 capture and minimize the energy needed for the process.

None

2010-01-01T23:59:59.000Z

128

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

129

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

130

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% |

131

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

Science Journals Connector (OSTI)

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

Mauro Castelli; Leonardo Vanneschi; Matteo De Felice

2015-01-01T23:59:59.000Z

132

Washington City Power - Net Metering | Department of Energy  

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

Washington City Power - Net Metering Washington City Power - Net Metering Washington City Power - Net Metering < Back Eligibility General Public/Consumer Savings Category Solar Buying & Making Electricity Wind Program Info State Utah Program Type Net Metering Provider Washington City Washington City adopted a net-metering program, including interconnection procedures, in January 2008.* Net metering is available to residential and commercial customers that generate electricity using photovoltaic (PV) systems or wind-energy systems up to 10 kilowatts (kW) in capacity. At the customer's expense, the municipal utility will provide a single, bidirectional meter to measure the in-flow and out-flow of electricity at the customer's home. Systems are restricted to being sized to provide no more than 120% of the historic maximum monthly energy consumption of the

133

EIA - 2010 International Energy Outlook - Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity International Energy Outlook 2010 Electricity World electricity generation increases by 87 percent from 2007 to 2035 in the IEO2010 Reference case. Non-OECD countries account for 61 percent of world electricity use in 2035. Figure 67. Growth in world electric power generation and total energy consumption, 1990-2035. Click to enlarge » Figure source and data excel logo Figure 68. World net electricity generation by region, 1990-2035 Click to enlarge » Figure source and data excel logo Figure 69. Non-OECD net electricity generation by region, 1990-2035. Click to enlarge » Figure source and data excel logo Figure 70. World net electricity generation by fuel, 2006-2030. Click to enlarge » Figure source and data excel logo Figure 71. World net electricity generation from nuclear power by region, 2007-2030.

134

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

Science Journals Connector (OSTI)

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

Ana Soares; Álvaro Gomes; Carlos Henggeler Antunes

2014-01-01T23:59:59.000Z

135

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

136

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

E-Print Network [OSTI]

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

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

137

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

Science Journals Connector (OSTI)

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

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

2012-03-01T23:59:59.000Z

138

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

139

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

Science Journals Connector (OSTI)

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

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

140

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

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

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

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

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

Science Journals Connector (OSTI)

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

1915-01-01T23:59:59.000Z

142

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

SciTech Connect (OSTI)

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

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

2011-03-01T23:59:59.000Z

143

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

144

Net Metering  

Broader source: Energy.gov [DOE]

[http://nebraskalegislature.gov/FloorDocs/101/PDF/Final/LB436.pdf LB 436], signed in May 2009, established statewide net metering rules for all electric utilities in Nebraska. The rules apply to...

145

Net Metering  

Broader source: Energy.gov [DOE]

Nevada's original net-metering law for renewable-energy systems was enacted in 1997 and amended in 2001, 2003, 2005 and 2007. Systems up to one megawatt (MW) in capacity that generate electricity...

146

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

E-Print Network [OSTI]

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

Cox, Samuel Stephen

2013-01-01T23:59:59.000Z

147

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

E-Print Network [OSTI]

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

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

148

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"

149

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network [OSTI]

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

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

150

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network [OSTI]

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

McNeil, Michael A.

2010-01-01T23:59:59.000Z

151

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

E-Print Network [OSTI]

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

Stadler, Michael

2009-01-01T23:59:59.000Z

152

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

Broader source: Energy.gov [DOE]

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

153

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

Science Journals Connector (OSTI)

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

Qiudan Li; Stephen Shaoyi Liao; Dandan Li

2006-01-01T23:59:59.000Z

154

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

Science Journals Connector (OSTI)

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

Muhammad Ery Wijaya; Tetsuo Tezuka

2012-01-01T23:59:59.000Z

155

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

Science Journals Connector (OSTI)

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

Juhani Laurikko; Jukka Nuottimäki…

2013-01-01T23:59:59.000Z

156

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

157

Electric Power Quarterly, October-December 1984  

SciTech Connect (OSTI)

The Electric Power Quarterly (EPQ) provides electric utilities' plant-level information about the cost, quantity, and quality of fossil fuel receipts, net generation, fuel consumption, and fuel stocks. The EPQ contains monthly data and quarterly totals for the reporting quarter. In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis.

Not Available

1985-04-01T23:59:59.000Z

158

Electric Power Quarterly, January-March 1986  

SciTech Connect (OSTI)

The ''Electric Power Quarterly (EPQ)'' provides information on electric utilities at the plant level. The information concerns the following: cost, quantity, and quality of fossil fuel receipts; net generation; fuel consumption; and fuel stocks. The ''EPQ'' contains monthly data and quarterly totals for the reporting quarter. In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis.

Not Available

1986-07-21T23:59:59.000Z

159

Electric Power Quarterly, July-September 1984  

SciTech Connect (OSTI)

The Electric Power Quarterly (EPQ) provides electric utilities' plant-level information about the cost, quantity, and quality of fossil fuel receipts, net generation, fuel consumption, and fuel stocks. The EPQ contains monthly data and quarterly totals for the reporting quarter. In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis.

Not Available

1985-01-01T23:59:59.000Z

160

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

E-Print Network [OSTI]

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

Beigl, Michael

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

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

E-Print Network [OSTI]

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

Nagurney, Anna

162

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

Gasoline and Diesel Fuel Update (EIA)

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

163

Advancing Net-Zero Energy Commercial Buildings; Electricity, Resources, & Building Systems Integration (Fact Sheet)  

SciTech Connect (OSTI)

This fact sheet provides an overview of the research the National Renewable Energy Laboratory is conducting to achieve net-zero energy buildings (NZEBs). It also includes key definitions of NZEBs and inforamtion about an NZEB database that captures information about projects around the world.

Not Available

2009-10-01T23:59:59.000Z

164

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.

165

Energy Information Administration - Commercial Energy Consumption...  

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

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

166

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

167

Energy Information Administration - Commercial Energy Consumption...  

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

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

168

Energy Information Administration - Commercial Energy Consumption...  

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

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

169

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

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

170

Energy Information Administration - Commercial Energy Consumption...  

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

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

171

Energy Information Administration - Commercial Energy Consumption...  

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

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

172

Table 5.2 End Uses of Fuel Consumption, 2010;  

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

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

173

Table 5.1 End Uses of Fuel Consumption, 2010;  

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

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

174

Table 5.7 End Uses of Fuel Consumption, 2010;  

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

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

175

Table 5.5 End Uses of Fuel Consumption, 2010;  

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

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

176

Table 5.6 End Uses of Fuel Consumption, 2010;  

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

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

177

Table 5.4 End Uses of Fuel Consumption, 2010;  

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

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

178

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

Science Journals Connector (OSTI)

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

Richard Thygesen; Björn Karlsson

2014-01-01T23:59:59.000Z

179

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

180

Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes  

E-Print Network [OSTI]

for  any net energy consumption with solar panels, the cost energy generation technologies (such as solar panels).   

Al-Beaini, S.

2010-01-01T23:59:59.000Z

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

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%

182

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

Science Journals Connector (OSTI)

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

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

2014-06-24T23:59:59.000Z

183

Electric power monthly, July 1994  

SciTech Connect (OSTI)

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

Not Available

1994-07-01T23:59:59.000Z

184

Demand response compensation, net Benefits and cost allocation: comments  

SciTech Connect (OSTI)

FERC's Supplemental Notice of Public Rulemaking addresses the question of proper compensation for demand response in organized wholesale electricity markets. Assuming that the Commission would proceed with the proposal ''to require tariff provisions allowing demand response resources to participate in wholesale energy markets by reducing consumption of electricity from expected levels in response to price signals, to pay those demand response resources, in all hours, the market price of energy for such reductions,'' the Commission posed questions about applying a net benefits test and rules for cost allocation. This article summarizes critical points and poses implications for the issues of net benefit tests and cost allocation. (author)

Hogan, William W.

2010-11-15T23:59:59.000Z

185

Electric Power Quarterly, October-December 1985. [Glossary  

SciTech Connect (OSTI)

The Electric Power Quarterly (EPQ) provides information on electric utilities at the plant level. The information concerns the following: cost, quantity, and quality of fossil fuel receipts; net generation; fuel consumption; and fuel stocks. The EPQ contains monthly data and quarterly totals for the reporting quarter. Data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis.

Not Available

1986-05-05T23:59:59.000Z

186

Electric power annual 1997. Volume 1  

SciTech Connect (OSTI)

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

NONE

1998-07-01T23:59:59.000Z

187

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

Science Journals Connector (OSTI)

Abstract Worldwide implementation of demand side management (DSM) programs has had positive impacts on electrical energy consumption (EEC) and the examination of their effects on long-term forecasting is warranted. The objective of this study is to investigate the effects of historical DSM data on accuracy of EEC modeling and long-term forecasting. To achieve the objective, optimal artificial neural network (ANN) models based on improved particle swarm optimization (IPSO) and shuffled frog-leaping (SFL) algorithms are developed for EEC forecasting. For long-term EEC modeling and forecasting for the U.S. for 2010–2030, two historical data types used in conjunction with developed models include (i) EEC and (ii) socio-economic indicators, namely, gross domestic product, energy imports, energy exports, and population for 1967–2009 period. Simulation results from IPSO-ANN and SFL-ANN models show that using socio-economic indicators as input data achieves lower mean absolute percentage error (MAPE) for long-term EEC forecasting, as compared with EEC data. Based on IPSO-ANN, it is found that, for the U.S. EEC long-term forecasting, the addition of DSM data to socio-economic indicators data reduces MAPE by 36% and results in the estimated difference of 3592.8 MBOE (5849.9 TW h) in EEC for 2010–2030.

F.J. Ardakani; M.M. Ardehali

2014-01-01T23:59:59.000Z

188

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

189

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Energy Sources Solar Home Weatherization Wind Program Info State Massachusetts Program Type Net Metering Provider Department of Public Utilities In Massachusetts, the state's investor-owned utilities must offer net metering. Municipal utilities are not obligated to offer net metering, but they may do so voluntarily. (There are no electric cooperatives in Massachusetts.) Class I, Class II, Class III net metering facilities In Massachusetts, there are several categories of net-metering facilities.

190

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

Science Journals Connector (OSTI)

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

Weigang Zhao; Jianzhou Wang; Haiyan Lu

2014-01-01T23:59:59.000Z

191

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

192

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

E-Print Network [OSTI]

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

Darghouth, Naim

2014-01-01T23:59:59.000Z

193

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

194

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)

195

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Fed. Government Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State District of Columbia Program Type Net Metering Provider Washington State University Washington's net-metering law applies to systems up to 100 kilowatts (kW) in capacity that generate electricity using solar, wind, hydro, biogas from animal waste, or combined heat and power technologies (including fuel cells). All customer classes are eligible, and all utilities -- including municipal utilities and electric cooperatives -- must offer net metering.

196

EIA - International Energy Outlook 2009-Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity International Energy Outlook 2009 Chapter 5 - Electricity World electricity generation increases by 77 percent from 2006 to 2030 in the IEO2009 reference case. The non-OECD countries are projected to account for 58 percent of world electricity use in 2030 Figure 48. Growth in World Electric Power Generation and Total Energy Consumption, 1990-2030 (Index, 1990 = 1). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 49. World Net Electric Power Generation, 1980-2030 (Trillion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 50. Non-OECD Net Electricity Generation by Region, 1980-2030 (Trillion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800.

197

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

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

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

198

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...

199

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Missouri Program Type Net Metering Provider Missouri Public Service Commission Missouri enacted legislation in June 2007 (S.B. 54)* requiring all electric utilities -- investor-owned utilities, municipal utilities and electric cooperatives -- to offer net metering to customers with systems up to 100 kilowatts (kW) in capacity that generate electricity using wind energy, solar-thermal energy, hydroelectric energy, photovoltaics (PV), fuel cells

200

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Industrial Residential Local Government Multi-Family Residential Nonprofit Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State West Virginia Program Type Net Metering Provider West Virginia Public Service Commission Net metering in West Virginia is available to all retail electricity customers. System capacity limits vary depending on the customer type and electric utility type, according to the following table. Customer Type IOUs with 30,000 customers or more IOUs with fewer than 30,000 customers, municipal utilities, electric cooperatives

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

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

202

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

E-Print Network [OSTI]

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

Kelsven, Phillip

2013-01-01T23:59:59.000Z

203

Hydro-Québec Net Metering (Quebec, Canada) | Department of Energy  

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

Hydro-Québec Net Metering (Quebec, Canada) Hydro-Québec Net Metering (Quebec, Canada) Hydro-Québec Net Metering (Quebec, Canada) < Back Eligibility Commercial Agricultural Residential Savings Category Buying & Making Electricity Solar Program Info Funding Source Hydro-Quebec State Quebec Program Type Net Metering In line with Hydro-Québec's commitment to the environment and sustainable development, Hydro-Québec is supporting self-generation with a new rate offering: the net metering option. This option reflects a broad approach to energy efficiency. It is both environmentally friendly and advantageous for self-generators seeking to optimize their energy management. Net metering provides a way to act on convictions by using renewable energy and state-of-the-art technology to truly take control of consumption

204

Net Withdrawals of Natural Gas from Underground Storage (Summary)  

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

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

205

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITYFOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

206

"YEAR","MONTH","STATE","UTILITY CODE","UTILITY NAME","RESIDENTIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL PHOTOVOLTAIC ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","TOTAL PHOTOVOLTAIC INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","COMMERCIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","INDUSTRIAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TRANSPORTATION PHOTOVOLTAIC NET METERING CUSTOMER COUNT","TOTAL PHOTOVOLTAIC NET METERING CUSTOMER COUNT","RESIDENTIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION WIND ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL WIND ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL WIND INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL WIND INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL WIND INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION WIND INSTALLED NET METERING CAPACITY (MW)","TOTAL WIND INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL WIND NET METERING CUSTOMER COUNT","COMMERCIAL WIND NET METERING CUSTOMER COUNT","INDUSTRIAL WIND NET METERING CUSTOMER COUNT","TRANSPORTATION WIND NET METERING CUSTOMER COUNT","TOTAL WIND NET METERING CUSTOMER COUNT","RESIDENTIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","COMMERCIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION OTHER ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL OTHER ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL OTHER INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL OTHER INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL OTHER INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION OTHER INSTALLED NET METERING CAPACITY (MW)","TOTAL OTHER INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL OTHER NET METERING CUSTOMER COUNT","COMMERCIAL OTHER NET METERING CUSTOMER COUNT","INDUSTRIAL OTHER NET METERING CUSTOMER COUNT","TRANSPORTATION OTHER NET METERING CUSTOMER COUNT","TOTAL OTHER NET METERING CUSTOMER COUNT","RESIDENTIAL TOTAL ENERGY SOLD BACK TO THE UTILITY (MWh)","COMMERCIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","INDUSTRIAL TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TRANSPORTATION TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","TOTAL ELECTRIC ENERGY SOLD BACK (MWh)","RESIDENTIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","COMMERCIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","INDUSTRIAL TOTAL INSTALLED NET METERING CAPACITY (MW)","TRANSPORTATION TOTAL INSTALLED NET METERING CAPACITY (MW)","TOTAL INSTALLED NET METERING CAPACITY (MW)","RESIDENTIAL TOTAL NET METERING CUSTOMER COUNT","COMMERCIAL TOTAL NET METERING CUSTOMER COUNT","INDUSTRIAL TOTAL NET METERING CUSTOMER COUNT","TRANSPORTATION TOTAL NET METERING CUSTOMER COUNT","TOTAL NET METERING CUSTOMER COUNT","RESIDENTIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","COMMERCIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","INDUSTRIAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TRANSPORTATION ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","TOTAL ELECTRIC ENERGY SOLD BACK TO THE UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"  

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

UTILITY FOR ALL STATES SERVED(MWh)","RESIDENTIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","COMMERCIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INDUSTRIAL INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","TRANSPORTATION INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","INSTALLED NET METERING CAPACITY FOR ALL STATES SERVED(MW)","RESIDENTIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","COMMERCIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","INDUSTRIAL NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","TRANSPORTATION NET METERING CUSTOMER COUNT FOR ALL STATES SERVED","NET METERING CUSTOMER COUNT FOR ALL STATES SERVED"

207

Energy Information Administration - Table 2. End Uses of Fuel Consumption,  

Gasoline and Diesel Fuel Update (EIA)

2 2 Page Last Modified: June 2010 Table 2. End Uses of Fuel Consumption, 1998, 2002, and 2006 (trillion Btu) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 1998 2002 2006 Total 2 1,672 1,455 1,147 Net Electricity 3 158 184 175 Natural Gas 456 388 326 Coal 48 36 14 Boiler Fuel -- -- -- Coal 8 W 1 Residual Fuel Oil 10 * 4 Natural Gas 52 39 27 Process Heating -- -- -- Net Electricity 74 79 76 Residual Fuel Oil 19 * 11 Natural Gas 369 329 272 Machine Drive -- -- -- Net Electricity 68 86 77 Notes 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 2. 'Total' is the sum of all energy sources listed below, including net steam (the sum of purchases, generation from renewable resources, and net transfers), and other energy that respondents indicated was used to produce heat and power. It is the fuel quantities across all end-uses.

208

Electric power quarterly, July-September 1986  

SciTech Connect (OSTI)

The Electric Power Quarterly (EPQ) provides information on electric utilities at the plant level. The information concerns the following: cost, quantity, and quality of fossil fuel receipts; net generation; fuel consumption; and fuel stocks. The EPQ contains monthly data and quarterly totals for the reporting quarter. In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Form 423 are presented on a plant-by-plant basis. The EPQ presents a quarterly summary of disturbances and unusual occurrences affecting the electric power industry collected by the Office of International Affairs and Energy Emergencies (IE) on Form IE-417.

Not Available

1987-02-04T23:59:59.000Z

209

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

E-Print Network [OSTI]

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

210

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

E-Print Network [OSTI]

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

Letschert, Virginie

2010-01-01T23:59:59.000Z

211

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

212

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

213

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

Science Journals Connector (OSTI)

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

Scott B. Peterson; Jeremy J. Michalek

2013-01-01T23:59:59.000Z

214

EIA - International Energy Outlook 2008-Electricity  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity International Energy Outlook 2008 Chapter 5 - Electricity World electricity generation nearly doubles in the IEO2008 reference case from 2005 to 2030. In 2030, generation in the non-OECD countries is projected to exceed generation in the OECD countries by 46 percent. Figure 52. Growth in World Electric Power Generation and Total Energy Consumption and Total Energy Consumption, 1990-2030 (Index, 1990 = 1). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 53. World Net Electric Power Generation, 1990-2030 (Trillion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 34. World Electricity Generation by Fuel, 2005-2030 (Trillion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800.

215

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Biofuels Alternative Fuel Vehicles Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Energy Sources Solar Home Weatherization Wind Program Info State New Hampshire Program Type Net Metering Provider New Hampshire Public Utilities Commission New Hampshire requires all utilities selling electricity in the state to offer net metering to customers who own or operate systems up to one megawatt (1 MW) in capacity that generate electricity using solar, wind, geothermal, hydro, tidal, wave, biomass, landfill gas, bio-oil or

216

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

Gasoline and Diesel Fuel Update (EIA)

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

217

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government General Public/Consumer Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Wind Solar Home Weatherization Program Info State Arkansas Program Type Net Metering Provider Arkansas Economic Development Commission In April 2001, Arkansas enacted legislation (HB 2325) directing the Arkansas Public Service Commission (PSC) to establish net-metering rules for certain renewable-energy systems.* The PSC approved final rules for net metering in July 2002. Subsequent legislation enacted in April 2007 (HB 2334) expanded the availability of net metering; increased the capacity

218

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

E-Print Network [OSTI]

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

McNeil, Michael A.; Letschert, Virginie E.

2008-01-01T23:59:59.000Z

219

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

E-Print Network [OSTI]

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

Aroonruengsawat, Anin

2010-01-01T23:59:59.000Z

220

The Impact of Rate Design and Net Metering on the Bill Savings from  

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

The Impact of Rate Design and Net Metering on the Bill Savings from The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California Title The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California Publication Type Report Refereed Designation Unknown Year of Publication 2010 Authors Darghouth, Naïm, Galen L. Barbose, and Ryan H. Wiser Pagination 62 Date Published 04/2010 Publisher LBNL City Berkeley Keywords electricity markets and policy group, electricity rate design, energy analysis and environmental impacts department, net metering, photovoltaics Abstract Net metering has become a widespread policy in the U.S. for supporting distributed photovoltaics (PV) adoption.1 Though specific design details vary, net metering allows customers with PV to reduce their electric bills by offsetting their consumption with PV generation, independent of the timing of the generation relative to consumption - in effect, compensating the PV generation at retail electricity rates (Rose et al. 2009). Though net metering has played an important role in jump-starting the PV market in the U.S., challenges to net metering policies have emerged in a number of states and contexts, and alternative compensation methods are under consideration. Moreover, one inherent feature of net metering is that the value of the utility bill savings it provides to customers with PV depends heavily on the structure of the underlying retail electricity rate, as well as on the characteristics of the customer and PV system. Consequently, the bill-savings value of net metering - and the impact of moving to alternative compensation mechanisms - can vary substantially from one customer to the next. For these reasons, it is important for policymakers and others that seek to support the development of distributed PV to understand both how the bill savings benefits of PV varies under net metering, and how the bill savings under net metering compares to savings associated with other possible compensation mechanisms. To advance this understanding, we analyze the bill savings from PV for residential customers of California's two largest electric utilities, Pacific Gas and Electric (PG&E) and Southern California Edison (SCE).3 The analysis is based on hourly load data from a sample of 215 residential customers located in the service territories of the two utilities, matched with simulated hourly PV production for the same time period based on data from the nearest of 73 weather stations in the state. We focus on these two utilities, both because we had ready access to a sample of load data for their residential customers, and because their service territories are the largest markets for residential PV in the country.

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

Net Metering | Department of Energy  

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

Residential Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Wind Solar Home Weatherization Program Info State Louisiana Program Type Net Metering Provider Louisiana Public Service Commission '''''Note: Ongoing proceedings related to net metering can be found in Docket R-31417.''''' Louisiana enacted legislation in June 2003 establishing net metering. Modeled on Arkansas's law, Louisiana's law requires investor-owned utilities, municipal utilities and electric cooperatives to offer net metering to customers that generate electricity using solar, wind, hydropower, geothermal or biomass resources. Fuel cells and microturbines that generate electricity entirely derived from renewable resources are

222

Net Metering Resources  

Broader source: Energy.gov [DOE]

State net metering policies allow customers to produce onsite electricity and sell excess generation to the utility at a set price, which creates an incentive for private investment in distributed...

223

American Samoa- Net Metering  

Broader source: Energy.gov [DOE]

The American Samoa Power Authority (ASPA), a government-owned electric utility, is the only power provider in this U.S. territory of almost 70,000 people. ASPA's "Interconnection and Net Energy...

224

Electric Power detailed State data  

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

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

225

Table 5.3 End Uses of Fuel Consumption, 2010;  

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

Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand...

226

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

227

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 ..........

228

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

229

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

230

Electric Power Quarterly, January-March 1983  

SciTech Connect (OSTI)

The Electric Power Quarterly (EPQ), a new series in the EIA statistical publications, provides electric utilities' plant-level information about the cost, quantity, and quality of fossil fuel receipts, net generation, fuel consumption and fuel stocks. The EPQ contains monthly data and quarterly totals for the reporting quarter. The data presented in this report were collected and published by the EIA to fulfill its responsibilities as specified in the Federal Energy Administration Act of 1974 (P.L. 93-275). This edition of the EPQ contains monthly data for the first quarter of 1983. In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented for the first time on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis.

Not Available

1983-07-01T23:59:59.000Z

231

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

232

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State North Carolina Program Type Net Metering Provider North Carolina Utilities Commission The North Carolina Utilities Commission (NCUC) requires the state's three investor-owned utilities -- Duke Energy, Progress Energy and Dominion North Carolina Power -- to make net metering available to customers that own and operate systems that generate electricity using solar energy, wind energy, hydropower, ocean or wave energy, biomass resources, combined heat and

233

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Virginia Program Type Net Metering Provider Virginia Department of Mines, Minerals, and Energy '''''Note: In March 2011, Virginia enacted HB 1983, which increased the residential net-metering limit to 20 kW. However, residential facilities with a capacity of greater than 10 kW must pay a monthly standby charge. The Virginia State Corporation Commission approved standby charges for transmissions and distribution components as proposed by Virginia Electric and Power Company (Dominion Virginia Power) on November 3, 2011.'''''

234

EIA - International Energy Outlook 2008-Electricity Graphic Data  

Gasoline and Diesel Fuel Update (EIA)

8 8 Figure 52. Growth in World Electric Power Generation and Total Energy Consumption, 1990-2030 Figure 52 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 53. World Net Electric Power Generation, 1990-2030 Figure 53 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 54. World Electricity Generation by Fuel, 2005-2030 Figure 54 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 55. World Net Electricity Generation from Nuclear Power, 1980 and 2030 Figure 55 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 56. Net Electricity Generation in the United States and China, 1980-2030 Figure 56 Data. Need help, contact the National Energy Information Center at 202-586-8800.

235

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Wind Solar Home Weatherization Program Info State Ohio Program Type Net Metering Provider Ohio Public Utilities Commission '''''Note: In July 2012, the Public Utilities Commission of Ohio (PUCO) opened a docket ([http://dis.puc.state.oh.us/CaseRecord.aspx?CaseNo=12-2050-EL-ORD Case 12-0250-EL-RDR]) to review the net metering rules for investor-owned utilities. Details will be posted as more information is available.''''' Ohio's net-metering law requires electric distribution utilities to offer net metering to customers who generate electricity using wind energy, solar energy, biomass, landfill gas, hydropower, fuel cells or microturbines.

236

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

237

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

238

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State Vermont Program Type Net Metering Provider Vermont Department of Public Service NOTE: Legislation enacted in May 2012 (HB475) further amends Vermont's net metering policy. Vermont's original net-metering legislation was enacted in 1998, and the law has been expanded several times subsequently. Any electric customer in Vermont may net meter after obtaining a Certificate of Public Good from the Vermont Public Service Board (PSB). Solar net metered systems 10 kilowatts

239

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

240

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Wind Solar Home Weatherization Program Info State New Mexico Program Type Net Metering Provider New Mexico Public Regulation Commission Net metering is available to all "qualifying facilities" (QFs), as defined by the federal Public Utility Regulatory Policies Act of 1978 (PURPA)*, which pertains to systems up to 80 megawatts (MW) in capacity. Previously, net metering in New Mexico was limited to systems up to 10 kilowatts (kW) in capacity. Net-metered customers are credited or paid for any monthly net excess generation (NEG) at the utility's avoided-cost rate. If a customer has net

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


241

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

242

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

243

Cebrian, Just. 2002. Variability and control of carbon consumption ...  

Science Journals Connector (OSTI)

Variability and control of carbon consumption, export, and accumulation in marine communities. Limnol. Oceanogr. 47: 11-22. Web Appendix 1. Net Primary.

2001-09-10T23:59:59.000Z

244

Net Metering | Open Energy Information  

Open Energy Info (EERE)

Metering Metering Jump to: navigation, search For electric customers who generate their own electricity, net metering allows for the flow of electricity both to and from the customer,– typically through a single, bi-directional meter. With net metering, when a customer’'s generation exceeds the customer’'s use, the customer's electricity flows back to the grid, offsetting electricity consumed by the customer at a different time. In effect, the customer uses excess generation to offset electricity that the customer otherwise would have to purchase at the utility’'s full retail rate. Net metering is required by law in most states, but some of these laws only apply to investor-owned utilities,– not to municipal utilities or electric cooperatives. [1] Net Metering Incentives

245

Fact #838: September 15, 2014 Net Imports of Petroleum were Only...  

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

8: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013 Fact 838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in...

246

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

E-Print Network [OSTI]

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

Sathaye, Jayant

2010-01-01T23:59:59.000Z

247

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

E-Print Network [OSTI]

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

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

2005-01-01T23:59:59.000Z

248

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

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

249

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

250

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

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

251

The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California  

SciTech Connect (OSTI)

Net metering has become a widespread policy in the U.S. for supporting distributed photovoltaics (PV) adoption. Though specific design details vary, net metering allows customers with PV to reduce their electric bills by offsetting their consumption with PV generation, independent of the timing of the generation relative to consumption - in effect, compensating the PV generation at retail electricity rates (Rose et al. 2009). While net metering has played an important role in jump-starting the residential PV market in the U.S., challenges to net metering policies have emerged in a number of states and contexts, and alternative compensation methods are under consideration. Moreover, one inherent feature of net metering is that the value of the utility bill savings it provides to customers with PV depends heavily on the structure of the underlying retail electricity rate, as well as on the characteristics of the customer and PV system. Consequently, the value of net metering - and the impact of moving to alternative compensation mechanisms - can vary substantially from one customer to the next. For these reasons, it is important for policymakers and others that seek to support the development of distributed PV to understand both how the bill savings varies under net metering, and how the bill savings under net metering compares to other possible compensation mechanisms. To advance this understanding, we analyze the bill savings from PV for residential customers of California's two largest electric utilities, Pacific Gas and Electric (PG&E) and Southern California Edison (SCE). The analysis is based on hourly load data from a sample of 215 residential customers located in the service territories of the two utilities, matched with simulated hourly PV production for the same time period based on data from the nearest of 73 weather stations in the state.

Darghouth, Naim; Barbose, Galen; Wiser, Ryan

2010-03-30T23:59:59.000Z

252

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

E-Print Network [OSTI]

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

Stadler, Michael

2009-01-01T23:59:59.000Z

253

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

E-Print Network [OSTI]

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

Konopacki, S.J.

2010-01-01T23:59:59.000Z

254

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Wind Solar Home Weatherization Water Program Info State New York Program Type Net Metering Provider New York State Department of Public Service Note: In October 2012 the New York Public Service Commission (PSC) issued an order directing Central Hudson Gas and Electric to file net metering tariff revisions tripling the aggregate net metering cap for most systems from 1% of 2005 peak demand (12 MW) to 3% of 2005 peak demand (36 MW). The PSC issued another order in June 2013 to raise the aggregate net metering cap

255

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial General Public/Consumer Industrial Residential Fed. Government Local Government State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Oklahoma Program Type Net Metering Provider Oklahoma Corporation Commission Net metering has been available in Oklahoma since 1988 under Oklahoma Corporation Commission (OCC) Order 326195. The OCC's rules require investor-owned utilities and electric cooperatives under the commission's jurisdiction* to file net-metering tariffs for customer-owned renewable-energy systems and combined-heat-and-power (CHP) facilities up to 100 kilowatts (kW) in capacity. Net metering is available to all customer

256

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Commercial Fed. Government Local Government Residential State Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Hawaii Program Type Net Metering Provider Hawaii Public Utilities Commission NOTE: Kauai Island Electric Cooperative's (KIUC) net metering program has reached its capacity and has implemented a Net Energy Metering Pilot Program. Hawaii's original net-metering law was enacted in 2001 and expanded in 2004 by HB 2048, which increased the eligible capacity limit of net-metered systems from 10 kilowatts (kW) to 50 kW. In 2005, the law was further amended by SB 1003, which authorized the Hawaii Public Utilities Commission

257

Table A9. Total Primary Consumption of Energy for All Purposes by Census  

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

A9. Total Primary Consumption of Energy for All Purposes by Census" A9. Total Primary Consumption of Energy for All Purposes by Census" " Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke" " "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" " ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Economic Characteristics(a)","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","(cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

258

Table A20. Total First Use (formerly Primary Consumption) of Energy for All P  

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

Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census" Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census" " Region, Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ,,,,,,,,"Coke",,"Shipments" " "," ","Net","Residual","Distillate","Natural Gas(e)"," ","Coal","and Breeze"," ","of Energy Sources","RSE" " ","Total(b)","Electricity(c)","Fuel Oil","Fuel Oil(d)","(billion","LPG","(1000","(1000","Other(f)","Produced Onsite(g)","Row"

259

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

E-Print Network [OSTI]

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

Kostic, Milivoje M.

260

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Connecticut Program Type Net Metering Provider Public Utilities Regulatory Authority Connecticut's two investor-owned utilities -- Connecticut Light and Power Company (CL&P) and United Illuminating Company (UI) -- are required to provide net metering to customers that generate electricity using "Class I" renewable-energy resources, which include solar, wind, landfill gas, fuel

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

Net Metering | Department of Energy  

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

Agricultural Agricultural Commercial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Kentucky Program Type Net Metering Provider Kentucky Public Service Commission In April 2008, Kentucky enacted legislation that expanded its net metering law by requiring utilities to offer net metering to customers that generate electricity with photovoltaic (PV), wind, biomass, biogas or hydroelectric systems up to 30 kilowatts (kW) in capacity. The Kentucky Public Service Commission (PSC) issued rules on January 8, 2009. Utilities had 90 days from that date to file tariffs that include all terms and conditions of their net metering programs, including interconnection.

262

Deep Energy Retrofits - Eleven California Case Studies  

E-Print Network [OSTI]

of measuring net-electricity and consumption in renewableVolume 4): U.S. Electricity Consumption for Water Supply andElectricity net = Electricity consumptionElectricity

Less, Brennan

2014-01-01T23:59:59.000Z

263

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Home Weatherization Water Wind Program Info State Maryland Program Type Net Metering Provider Maryland Public Service Commission Note: The program web site listed above links to the Maryland Public Service Commission's Net Metering Working Group page, which contains a variety of information resources related to the ongoing implementation of net metering in Maryland, such as meeting agendas, minutes, and draft utility tariffs.

264

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Wind Solar Home Weatherization Program Info State District of Columbia Program Type Net Metering Provider DC Public Service Commission In the District of Columbia (DC), net metering is currently available to residential and commercial customer-generators with systems powered by renewable-energy sources, combined heat and power (CHP), fuel cells and microturbines, with a maximum capacity of 1 megawatt (MW). The term "renewable energy sources" is defined as solar, wind, tidal, geothermal, biomass, hydroelectric power and digester gas. In October 2008, the Clean

265

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

266

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

267

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

E-Print Network [OSTI]

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

Letschert, Virginie

2010-01-01T23:59:59.000Z

268

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

269

Net Metering | Department of Energy  

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

Alternative Fuel Vehicles Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Delaware Program Type Net Metering Provider Delaware Public Service Commission In Delaware, net metering is available to any customer that generates electricity using solar, wind or hydro resources, anaerobic digesters, or fuel cells capable of being powered by renewable fuels. Grid-interactive electric vehicles are also eligible for net metering treatment for electricity that they put on the grid, although these vehicles do not themselves generate electricity. The maximum capacity of a net-metered system is 25 kilowatts (kW) for residential customers; 100 kW for farm customers on residential rates; two megawatts (MW) per meter for

270

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: September 2011 Highlights: September 2011 Cooler temperatures drove down retail sales of electricity in the Southeast compared to September 2010. Fossil steam generation decreased in much of the United States, except in the ERCOT portion of Texas where total generation increased from September, 2010. Bituminous coal stocks dropped 18% from September 2010. Key Indicators Sept. 2011 % Change from Sept. 2010 Total Net Generation (Thousand MWh) 336,264 -3% Residential Retail Price (cents/Kwh) 12.26 2% Retail Sales (Thousand MWh) 324,357 -1% Cooling Degree-Days 184 -6% Natural Gas Price, Henry Hub ($/mmBtu) 4.04 0% Coal Stocks (Thousand Tons) 144,439 -11% Coal Consumption (Thousand Tons) 76,765 -3% Natural Gas Consumption (Mcf) 702,589 -2% Nuclear Outages (MW) 9,227 70%

271

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: March 2012 Highlights: March 2012 Average natural gas prices at the Henry Hub declined for the eighth straight month leading to a nearly 40% increase in consumption for electricity during March 2012. The warmest March on record for much of the central U.S. drove a 5% decrease in residential retail sales when compared to March 2011. U.S. coal supplies as measured by days of burn were above 80 days for the third straight month in March as declining coal consumption drove coal stockpile increases. Key Indicators Mar 2012 % Change from Mar 2011 Total Net Generation (Thousand MWh) 309,709 -2.9% Residential Retail Price (cents/kWh) 11.76 1.5% Retail Sales (Thousand MWh) 282,453 -2.6% Heating Degree-Days 377 -36.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.22 -45.7% Coal Stocks

272

Energy consumption and environmental pollution: a stochastic model  

Science Journals Connector (OSTI)

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

Charles S. Tapiero

2009-07-01T23:59:59.000Z

273

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)

274

Net Energy Billing | Department of Energy  

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

Energy Billing Energy Billing Net Energy Billing < Back Eligibility Agricultural Commercial Industrial Institutional Low-Income Residential Multi-Family Residential Nonprofit Residential Schools Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State Maine Program Type Net Metering Provider Maine Public Utilities Commission All of Maine's electric utilities -- investor-owned utilities (IOUs), consumer-owned utilities (COUs), which include municipal utilities and electric cooperatives -- must offer net energy billing for individual customers. Furthermore IOUs are required to offer net metering for shared ownership customers, while COUs may offer net metering to shared ownership

275

Electric power annual 1996. Volume 1  

SciTech Connect (OSTI)

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

NONE

1997-08-01T23:59:59.000Z

276

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Water Energy Sources Solar Home Weatherization Wind Program Info State Minnesota Program Type Net Metering Provider Minnesota Department of Commerce '''''Note: H.F. 729, enacted in May 2013, includes many changes to Minnesota's net metering law. These changes are described above, but most will not take effect until rules are implemented at the PUC. The below summary reflects the current rules.''''' Minnesota's net-metering law, enacted in 1983, applies to all investor-owned utilities, municipal utilities and electric cooperatives. All "qualifying facilities" less than 40 kilowatts (kW) in capacity are

277

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Iowa Program Type Net Metering Provider Iowa Utilities Board Iowa's statutes do not explicitly authorize the Iowa Utilities Board (IUB) to mandate net metering, but this authority is implicit through the board's enforcement of PURPA and Iowa Code § 476.41 ''et seq.'' Iowa's net-metering subrule, adopted by the IUB in July 1984, applies to customers that generate electricity using alternate energy production facilities (AEPs). Net metering is available to all customer classes of Iowa's two investor-owned utilities -- MidAmerican Energy and Interstate Power and

278

" Electricity Sales/Transfers Out",96,4  

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

4. Total First Use (formerly Primary Consumption) of Energy for All Purposes" 4. Total First Use (formerly Primary Consumption) of Energy for All Purposes" " by Selected Energy Sources, 1994" " (Estimates in Trillion Btu)" ,,"RSE" ,,"Row" "Selected Energy Sources","Total","Factors" ,"Total United States" "RSE Column Factor:",1 "Coal ",2105,4 "Natural Gas",6835,3 "Net Electricity",2656,2 " Purchased Electricity",2689,1 " Transfers In",53,4 " Generation from Noncombustible",," " " Renewable Resources",10,10 " Electricity Sales/Transfers Out",96,4 "Coke and Breeze",449,8 "Residual Fuel Oil",490,3

279

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

7/22/2011 7/22/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: May 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were slightly below normal in May 2011.

280

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

6/24/2011 6/24/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: April 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures that were above normal in April 2011.

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

Monthly Flash Estimates of Electric Power Data  

Gasoline and Diesel Fuel Update (EIA)

9/20/2011 9/20/2011 Table of Contents 1. Commentary Page 1 2. Key Indicators of Generation, Consumption & Stocks Page 2 3. Month-to-Month Comparisons: Generation, Consumption and Stocks (Total) Page 3 4. Net Generation Trends Page 4 5. Fossil Fuel Consumption Trends Page 5 6. Fossil Fuel Stock Trends Page 6 7. Average Number of Days of Burn Non-Lignite Coal Page 7 8. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 8 9. Retail Sales Trends Page 9 10. Average Retail Price Trends Page 10 11. Heating and Cooling Degree Days Page 11 12. Documentation Page 12 Monthly Flash Estimates of Data for: July 2011 Section 1. Commentary Electric Power Data The contiguous United States experienced temperatures

282

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Solar Water Wind Program Info State New Jersey Program Type Net Metering Provider New Jersey Board of Public Utilities New Jersey's net-metering rules apply to all residential, commercial and industrial customers of the state's investor-owned utilities and energy suppliers (and certain competitive municipal utilities and electric cooperatives). Systems that generate electricity using solar, wind, geothermal, wave, tidal, landfill gas or sustainable biomass resources, including fuel cells (all "Class I" technologies under the state RPS), are

283

net generation | OpenEI  

Open Energy Info (EERE)

net generation net generation Dataset Summary Description Provides annual net electricity generation (thousand kilowatt-hours) from renewable energy in the United States by energy use sector (commercial, industrial, electric power) and by energy source (e.g. biomas, solar thermal/pv). Source EIA Date Released August 01st, 2010 (4 years ago) Date Updated Unknown Keywords 2004 2008 Electricity net generation renewable energy Data application/vnd.ms-excel icon 2008_RE.net_.generation_EIA.Aug_.2010.xls (xls, 16.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2004 - 2008 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

284

Tobacco Consumption  

Science Journals Connector (OSTI)

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

Martina Pötschke-Langer

2008-01-01T23:59:59.000Z

285

TacNet Tracker - Energy Innovation Portal  

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

Electricity Transmission Find More Like This Return to Search TacNet Tracker Handheld Tracking and Communications Device Sandia National Laboratories Contact SNL About This...

286

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.

287

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.

288

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.

289

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.

290

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

291

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

292

Electric Power Quarterly, April-June 1986  

SciTech Connect (OSTI)

In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis. The report also presents a quarterly summary of disturbances and unusual occurrences affecting the electric power industry collected by the Office of International Affairs and Energy Emergencies (IE) on the Form IE-417.

Not Available

1986-10-28T23:59:59.000Z

293

Electric power quarterly, January-March 1987  

SciTech Connect (OSTI)

In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis. The report also presents a quarterly summary of disturbances and unusual occurrences affecting the electric power industry collected by the Office of International Affairs and Energy Emergencies (IE) on the Form IE-417.

Not Available

1987-07-27T23:59:59.000Z

294

Electric power quarterly, October-December 1986  

SciTech Connect (OSTI)

In this report, data collected on Form EIA-759 regarding electric utilities' net generation, fuel consumption, and fuel stocks are presented on a plant-by-plant basis. In addition, quantity, cost, and quality of fossil fuel receipts collected on the Federal Energy Regulatory Commission (FERC) Form 423 are presented on a plant-by-plant basis. The report also presents a quarterly summary of disturbances and unusual occurrences affecting the electric power industry collected by the Office of International Affairs and Energy Emergencies (IE) on the Form IE-417.

Not Available

1987-04-08T23:59:59.000Z

295

Table 3.2 Fuel Consumption, 2010;  

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

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

296

Table 3.3 Fuel Consumption, 2010;  

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

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

297

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

Gasoline and Diesel Fuel Update (EIA)

5a 5a Page Last Modified: June 2010 Table 5a. Consumption of Energy for All Purposes (First Use) per Value of Production, 1998, 2002, and 2006 (1000 Btu per constant 2000 dollar 1) MECS Survey Years Iron and Steel Mills (NAICS2 331111) 1998 3 2002 3 2006 3 Total 4 30 27 17 Net Electricity5 3 4 3 Natural Gas 9 9 6 Coal 13 10 6 Notes:1. Value of production is deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 3. Denominators represent the value of production for the entire iron and still mills (NAICS 331111), not those based mainly on electric, natural gas or coal.

298

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

299

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Industrial Residential Fed. Government General Public/Consumer Local Government Low-Income Residential Multi-Family Residential Nonprofit Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Wind Program Info State California Program Type Net Metering Provider California Public Utilities Commission California's net-metering law originally took effect in 1996 and applies to all utilities with one exception*. The law has been amended numerous times since its enactment, most recently by AB 327 of 2013. '''Eligible Technologies''' The original law applied to wind-energy systems, solar-electric systems and hybrid (wind/solar) systems. In September 2002, legislation (AB 2228)

300

Net Metering  

Broader source: Energy.gov [DOE]

In October 2009, the Regulatory Commission of Alaska (RCA) approved net metering regulations. These rules were finalized and approved by the lieutenant governor in January 2010 and became...

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

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.

302

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.

303

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.

304

Idaho Power - Net Metering | Department of Energy  

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

Net Metering Net Metering Idaho Power - Net Metering < Back Eligibility Agricultural Commercial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Idaho Program Type Net Metering Provider Idaho Power Company Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has developed a net-metering tariff that has been approved by the Idaho Public Utilities Commission (PUC). The framework of the utilities' net-metering programs is similar, in that each utility: (1) offers net metering to customers that generate electricity using solar, wind, hydropower, biomass or fuel cells; (2) limits residential systems to

305

Avista Utilities - Net Metering | Department of Energy  

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

Avista Utilities - Net Metering Avista Utilities - Net Metering Avista Utilities - Net Metering < Back Eligibility Agricultural Commercial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Idaho Program Type Net Metering Provider Avista Utilities Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has developed a net-metering tariff that has been approved by the Idaho Public Utilities Commission (PUC). The framework of the utilities' net-metering programs is similar, in that each utility: (1) offers net metering to customers that generate electricity using solar,

306

SRP - Net Metering | Department of Energy  

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

SRP - Net Metering SRP - Net Metering SRP - Net Metering < Back Eligibility Commercial Residential Savings Category Buying & Making Electricity Solar Wind Program Info State Arizona Program Type Net Metering Provider SRP Salt River Project (SRP) modified an existing net-metering program for residential and commercial customers in November 2013. Net metering is now available to customers who generate electricity using photovoltaic (PV), geothermal, or wind systems up to 300 kilowatts (kW) in AC peak capacity. The kilowatt-hours (kWh) delivered to SRP are subtracted from the kWh delivered from SRP for each billing cycle. If the kWh calculation is net positive for the billing cycle, SRP will bill the net kWh to the customer under the applicable price plan, Standard Price Plan E-21, E-23, E-26,

307

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Energy Sources Solar Home Weatherization Wind Program Info State Pennsylvania Program Type Net Metering Provider Pennsylvania Public Utility Commission Note: In March 2012 the Pennsylvania Public Utilities Commission (PUC) issued a Final Order (Docket M-2011-2249441) approving the use of third-party ownership models (i.e., system leases or retail power purchase agreements) in conjunction with net metering. The Order allows these types of arrangements for net metered systems, subject to a restriction that the

308

Net Metering | Department of Energy  

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

Net Metering Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Wind Solar Home Weatherization Program Info State Illinois Program Type Net Metering Provider Illinois Commerce Commission '''''NOTE: Legislation enacted in 2011 and 2012 (S.B. 1652, H.B. 3036, and S.B. 3811) has changed several aspects of net metering in Illinois. For customers in competitive classes as of July 1, 2011, the law prescribes a dual metering and bill crediting system which does not meet the definition of net metering as the term is generally defined. Click here for information regarding competitive classes, and

309

Potential residential PV development in Chile: The effect of Net Metering and Net Billing schemes for grid-connected PV systems  

Science Journals Connector (OSTI)

Abstract In recent years the global photovoltaic (PV) market has expanded rapidly due to a sharp decline in PV prices and increased attention to the importance of sustainable energy. Northern Chile has one of the highest irradiance levels in the world as well as one the highest electricity rates in Latin America. Because of these conditions, Chile is one of very few countries where several PV projects are being developed without government subsidies and consequently, the PV industry is experiencing rapid growth. This paper reviews the opportunity to take advantage of these market conditions within the residential sector, modeling PV arrays across 10 cities in Chile. A detailed modeling of PV systems is performed to achieve an accurate analysis of energy production and electricity cost, using local resource data, optimal array orientation and inclination, and production losses. A review of how Net Metering and Net Billing affect the value of the PV production is applied and a comparison using levelized cost of electricity (LCOE) is conducted. Net Metering is found to be a better policy choice to promote PV systems than Net Billing because energy injected into the electrical network is paid at the complete retail rate. However, in developed countries this kind of policy is unlikely to be supported because of it?s economic unfeasibility. Under a Net Billing scheme a consumer will see an advantage when energy is recorded over longer time intervals and when installing a system with smaller capacity relative to household electricity consumption. This prevents excess generation from being injected into the network which would be bought by the utility at lower prices than the retail rate. Payback periods are found to be low, between 6 years in northern areas with high retail rates and 13 years in other areas with lower radiation and retail rates.

David Watts; Marcelo F. Valdés; Danilo Jara; Andrea Watson

2015-01-01T23:59:59.000Z

310

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

E-Print Network [OSTI]

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

Michalek, Jeremy J.

311

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).

312

ELECTRIC  

Office of Legacy Management (LM)

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

313

Net Metering | Department of Energy  

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

Industrial Industrial Residential Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Water Energy Sources Solar Home Weatherization Wind Program Info State Wisconsin Program Type Net Metering Provider Public Service Commission of Wisconsin The Public Service Commission of Wisconsin (PSC) issued an order on January 26, 1982 requiring all regulated utilities to file tariffs allowing net metering to customers that generate electricity with systems up to 20 kilowatts (kW)* in capacity. The order applies to investor-owned utilities and municipal utilities, but not to electric cooperatives. All distributed-generation (DG) systems, including renewables and combined heat and power (CHP), are eligible. There is no limit on total enrollment.

314

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

315

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

316

Net Metering  

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

No limit specified (Board of Public Utilities may limit to 2.5% of peak demand) 9 * California o Net Excess Generation (NEG): Credited to customer's next bill at retail rate. - At...

317

Net Metering  

Broader source: Energy.gov [DOE]

North Dakota's net-metering policy, adopted in 1991 by the state Public Service Commission (PSC), applies to renewable-energy systems and combined heat and power (CHP) systems up to 100 kilowatts ...

318

Consumption Behavior in Investment/Consumption Problems  

Science Journals Connector (OSTI)

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

E. L. Presman

1997-01-01T23:59:59.000Z

319

Kansas - Net Metering | Department of Energy  

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

Kansas - Net Metering Kansas - Net Metering Kansas - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Kansas Program Type Net Metering Provider Kansas Corporation Commission Kansas adopted the Net Metering and Easy Connection Act in May 2009 (see K.S.A. 66-1263 through 66-1271), establishing net metering for customers of investor-owned utilities in Kansas. Net metering applies to systems that generate electricity using solar, wind, methane, biomass or hydro resources, and to fuel cells using hydrogen produced by an eligible

320

Progress Energy - Net Metering | Department of Energy  

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

Progress Energy - Net Metering Progress Energy - Net Metering Progress Energy - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State South Carolina Program Type Net Metering Provider Progress Energy Carolinas In August 2009, the South Carolina Public Service Commission issued an order mandating net metering be made available by the regulated electric utilities; the order incorporates a net metering settlement signed by the individual interveners, the Office of Regulatory Staff and the three investor-owned utilities (IOUs). The order detailed the terms of net metering, including ownership of RECs, in South Carolina and standardized

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

Net Metering Webinar | Department of Energy  

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

Net Metering Webinar Net Metering Webinar Net Metering Webinar June 25, 2014 11:00AM MDT Attendees will become familiar with the services provided by utility net metering and their importance in making projects cost-effective. The speakers will provide information based on case histories of how facilities that generate their own electricity from renewable energy sources can feed electricity they do not use back into the grid. Many states have net-metering laws with which utilities must comply. In states without such legislation, utilities may offer net-metering programs voluntarily or as a result of regulatory decisions. The webinar will cover the general differences between states' legislation and implementation and how the net-metering benefits can vary widely for facilities in different areas of

322

Net Metering Rules (Arkansas) | Department of Energy  

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

Net Metering Rules (Arkansas) Net Metering Rules (Arkansas) Net Metering Rules (Arkansas) < Back Eligibility Commercial Industrial Installer/Contractor Investor-Owned Utility Retail Supplier Rural Electric Cooperative Systems Integrator Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Arkansas Program Type Net Metering Provider Arkansas Public Service Commission The Net Metering Rules are promulgated under the authority of the Arkansas Public Service Commission. These rules are created to establish rules for net energy metering and interconnection. These rules are developed pursuant to the Arkansas Renewable Energy Development Act (Arkansas Code Annotated 23-18-603). These rules apply to all electric utilities.

323

Net Metering | Department of Energy  

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

You are here You are here Home » Net Metering Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Michigan Program Type Net Metering Provider Michigan Public Service Commission '''''The MPSC is reviewing state interconnection and net metering policies in [http://efile.mpsc.state.mi.us/efile/viewcase.php?casenum=15919&submit.x=... Case U-15919].''''' In October 2008, Michigan enacted legislation (P.A. 295) requiring the Michigan Public Service Commission (PSC) to establish a statewide net metering program for renewable-energy systems within 180 days. On May 26, 2009 the Michigan Public Service Commission (PSC) issued an order formally

324

EIA - State Electricity Profiles  

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

Electricity Profile 2012 Table 1. 2012 Summary statistics (Missouri) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity (megawatts)...

325

Electric Power Annual 2011  

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

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

326

EIA - State Electricity Profiles  

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

Arkansas Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arkansas) Item Value U.S. Rank NERC Region(s) SERCSPP Primary Energy Source Coal Net Summer Capacity...

327

Puerto Rico - Net Metering | Department of Energy  

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

Puerto Rico - Net Metering Puerto Rico - Net Metering Puerto Rico - Net Metering < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Savings Category Energy Sources Buying & Making Electricity Solar Wind Program Info Program Type Net Metering Provider Autoridad de Energía Electrica de Puerto Rico Puerto Rico enacted net-metering legislation in August 2007, allowing customers of Puerto Rico Electric Power Authority (PREPA) to use electricity generated by solar, wind or "other" renewable-energy resources to offset their electricity usage. This law applies to residential systems with a generating capacity of up to 25 kilowatts (kW) and non-residential systems up to one megawatt (MW) in capacity.*

328

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

329

Net Metering | Department of Energy  

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

Residential Residential Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Wyoming Program Type Net Metering Provider Wyoming Public Service Commission Wyoming enacted legislation in February 2001 that established statewide net metering. The law applies to investor-owned utilities, electric cooperatives and irrigation districts. Eligible technologies include solar, wind, biomass and hydropower systems up to 25 kilowatts (kW) in capacity. Systems must be intended primarily to offset part or all of the customer-generator's requirements for electricity. Net excess generation (NEG) is treated as a kilowatt-hour (kWh) credit or other compensation on the customer's following bill.* When an annual period ends, a utility will purchase unused credits at the utility's avoided-cost

330

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.

331

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

January 2012 | Release Date: Mar. 27, January 2012 | Release Date: Mar. 27, 2012 | Next Release Date: Apr. 27, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4%

332

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

Science Journals Connector (OSTI)

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

Wei Shen; Weijian Han

2013-01-01T23:59:59.000Z

333

Development of an electric motor-driven pump unit for electro-hydraulic power steering with 42V power-Net  

Science Journals Connector (OSTI)

Motorization in vehicles is expanding rapidly for fuel efficiency, customer comfort, convenience, and safety features. These new electric loads represent an increase in the required electric power. This has gener...

J. Hur

2010-08-01T23:59:59.000Z

334

Net Metering | Department of Energy  

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

Institutional Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State Arizona Program Type Net Metering Provider Arizona Corporation Commission Net metering is available to customers who generate electricity using solar, wind, hydroelectric, geothermal, biomass, biogas, combined heat and power (CHP) or fuel cell technologies. The ACC has not set a firm kilowatt-based limit on system size capacity; instead, systems must be sized to not exceed 125% of the customer's total connected load. If there is no available load data for the customer, the generating system may not

335

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

336

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

337

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

338

Household energy consumption and expenditures 1993  

SciTech Connect (OSTI)

This presents information about household end-use consumption of energy and expenditures for that energy. These data were collected in the 1993 Residential Energy Consumption Survey; more than 7,000 households were surveyed for information on their housing units, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information represents all households nationwide (97 million). Key findings: National residential energy consumption was 10.0 quadrillion Btu in 1993, a 9% increase over 1990. Weather has a significant effect on energy consumption. Consumption of electricity for appliances is increasing. Houses that use electricity for space heating have lower overall energy expenditures than households that heat with other fuels. RECS collected data for the 4 most populous states: CA, FL, NY, TX.

NONE

1995-10-05T23:59:59.000Z

339

Electric Power Annual 2012 - Energy Information Administration  

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

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

340

Cost and quality of fuels for electric utility plants 1991  

SciTech Connect (OSTI)

Data for 1991 and 1990 receipts and costs for fossil fuels discussed in the Executive Summary are displayed in Tables ES1 through ES7. These data are for electric generating plants with a total steam-electric and combined-cycle nameplate capacity of 50 or more megawatts. Data presented in the Executive Summary on generation, consumption, and stocks of fossil fuels at electric utilities are based on data collected on the Energy Information Administration, Form EIA-759, ``Monthly Power Plant Report.`` These data cover all electric generating plants. The average delivered cost of coal, petroleum, and gas each decreased in 1991 from 1990 levels. Overall, the average annual cost of fossil fuels delivered to electric utilities in 1991 was $1.60 per million Btu, a decrease of $0.09 per million Btu from 1990. This was the lowest average annual cost since 1978 and was the result of the abundant supply of coal, petroleum, and gas available to electric utilities. US net generation of electricity by all electric utilities in 1991 increased by less than I percent--the smallest increase since the decline that occurred in 1982.3 Coal and gas-fired steam net generation, each, decreased by less than I percent and petroleum-fired steam net generation by nearly 5 percent. Nuclear-powered net generation, however, increased by 6 percent. Fossil fuels accounted for 68 percent of all generation; nuclear, 22 percent; and hydroelectric, 10 percent. Sales of electricity to ultimate consumers in 1991 were 2 percent higher than during 1990.

Not Available

1992-08-04T23:59:59.000Z

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

Cost and quality of fuels for electric utility plants 1991  

SciTech Connect (OSTI)

Data for 1991 and 1990 receipts and costs for fossil fuels discussed in the Executive Summary are displayed in Tables ES1 through ES7. These data are for electric generating plants with a total steam-electric and combined-cycle nameplate capacity of 50 or more megawatts. Data presented in the Executive Summary on generation, consumption, and stocks of fossil fuels at electric utilities are based on data collected on the Energy Information Administration, Form EIA-759, Monthly Power Plant Report.'' These data cover all electric generating plants. The average delivered cost of coal, petroleum, and gas each decreased in 1991 from 1990 levels. Overall, the average annual cost of fossil fuels delivered to electric utilities in 1991 was $1.60 per million Btu, a decrease of $0.09 per million Btu from 1990. This was the lowest average annual cost since 1978 and was the result of the abundant supply of coal, petroleum, and gas available to electric utilities. US net generation of electricity by all electric utilities in 1991 increased by less than I percent--the smallest increase since the decline that occurred in 1982.3 Coal and gas-fired steam net generation, each, decreased by less than I percent and petroleum-fired steam net generation by nearly 5 percent. Nuclear-powered net generation, however, increased by 6 percent. Fossil fuels accounted for 68 percent of all generation; nuclear, 22 percent; and hydroelectric, 10 percent. Sales of electricity to ultimate consumers in 1991 were 2 percent higher than during 1990.

Not Available

1992-08-04T23:59:59.000Z

342

Duke Energy - Net Metering | Department of Energy  

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

Duke Energy - Net Metering Duke Energy - Net Metering Duke Energy - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State South Carolina Program Type Net Metering In August 2009, the South Carolina Public Service Commission issued an [http://dms.psc.sc.gov/pdf/matters/F05030FC-E19A-9225-B838F72EDF4557DC.pdf] order mandating net metering be made available by the regulating utilities; the order incorporates a net metering settlement signed by the individual interveners, the Office of Regulatory Staff and the three investor-owned utilities (IOUs). The order detailed the terms of net metering, including

343

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

344

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network [OSTI]

mechanisms to support wind power development. Renewablesuch as solar or wind power, interact with wholesaleschemes on power prices: The case of wind electricity in

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

345

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network [OSTI]

by biomass, 1.5% by small hydro, and 0.3% by PV. The pricebiomass, geothermal, and small hydro electricity generation

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

346

electricity.pdf  

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

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

347

Electricity Monthly Update  

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

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

348

Net Metering | Department of Energy  

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

Agricultural Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Heating & Cooling Commercial Heating & Cooling Wind Program Info State Indiana Program Type Net Metering Provider Indiana Utility Regulatory Commission The Indiana Utility Regulatory Commission (IURC) adopted rules for net metering in September 2004, requiring the state's investor-owned utilities (IOUs) to offer net metering to all electric customers. The rules, which apply to renewable energy resource projects [defined by IC 8-1-37-4(a)(1) - (8)] with a maximum capacity of 1 megawatt (MW), include the following

349

Net Metering | Department of Energy  

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

Agricultural Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Oregon Program Type Net Metering Oregon has established separate net-metering programs for the state's primary investor-owned utilities (PGE and PacifiCorp), and for its municipal utilities and electric cooperatives. '''PGE and PacifiCorp Customers''' The Oregon Public Utilities Commission (PUC) adopted new rules for net metering for PGE and PacifiCorp customers in July 2007, raising the individual system limit from 25 kilowatts (kW) to two megawatts (MW) for non-residential applications. (The rules do not apply to customers of Idaho

350

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

351

4. Net Generation Trends  

Gasoline and Diesel Fuel Update (EIA)

9 9 Section 1. Commentary Electric Power Data In March 2009, the contiguous United States experienced slightly above average temperatures. However, regional differences in temperature occurred as the Northwest experienced below average temperatures while the Southwest and Central regions observed above average temperatures. Heating degree days for the contiguous United States as a whole were 1.9 percent below the average for the month of March and 5.7 percent below a colder March 2008. Retail sales of electricity in March 2009 decreased 3.9 percent compared to March 2008. This decrease in March 2008-to-March 2009 retail sales was caused by the warmer weather observed in March 2009 and by the significant decline in industrial consumption as observed by the 12.7 percent decrease in industrial retail sales over the same period. The average U.S. retail price of electricity

352

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

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

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

353

Definition: Net Zero | Open Energy Information  

Open Energy Info (EERE)

Zero Zero Jump to: navigation, search Dictionary.png Net Zero A building, home, or community that offsets all of its energy use from renewable energy available within the community's built environment.[1] View on Wikipedia Wikipedia Definition A zero-energy building, also known as a zero net energy (ZNE) building, net-zero energy building (NZEB), or net zero building, is a building with zero net energy consumption and zero carbon emissions annually. Buildings that produce a surplus of energy over the year may be called "energy-plus buildings" and buildings that consume slightly more energy than they produce are called "near-zero energy buildings" or "ultra-low energy houses". Traditional buildings consume 40% of the total fossil fuel energy in the US and European Union and are significant

354

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

E-Print Network [OSTI]

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

Aickelin, Uwe

355

Electric Charge and Electric Field Electrostatics: Charge at rest  

E-Print Network [OSTI]

Chapter 16 Electric Charge and Electric Field #12;Electrostatics: Charge at rest Electric Charges of conservation of Electric Charge: The net amount of electric charge produced in any process is zero. Model, neutral). #12;· All protons and electrons have same magnitude of electric charge but their masses

Yu, Jaehoon

356

Externality of Consumption  

Science Journals Connector (OSTI)

Externalities of consumption exist if one individual's consumption of a good or service has positive... utility of another person. A positive externality increases ...

2008-01-01T23:59:59.000Z

357

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,

358

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,

359

Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering  

E-Print Network [OSTI]

The Private and Public Economies of Renewable Electricityprivate sector, began to push for deregulation in the electricityprivate customer value of behind-the-meter PV generation, as potential customers most often will consider the value of avoided electricity

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

360

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

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

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.

362

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

363

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1999-02-01T23:59:59.000Z

364

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.

365

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

366

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

367

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

368

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

369

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.

370

City of St. George - Net Metering | Department of Energy  

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

City of St. George - Net Metering City of St. George - Net Metering City of St. George - Net Metering < Back Eligibility Commercial General Public/Consumer Residential Savings Category Solar Buying & Making Electricity Program Info State Utah Program Type Net Metering Provider City of St. George The St. George City Council adopted a [http://www.sgcity.org/wp/power/NetMeteringPolicy.pdf net-metering program for area utilities], including interconnection procedures, in October 2005.* The interconnection procedures include different requirements, based on system size, for systems up to 10 megawatts (MW). Net metering is available to residential and commercial customers that generate electricity using photovoltaic (PV) systems. The net metering agreements currently available on the utility's web site only pertain to

371

Guam - Net Metering | Department of Energy  

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

Guam - Net Metering Guam - Net Metering Guam - Net Metering < Back Eligibility Agricultural Commercial Industrial Institutional Nonprofit Residential Schools Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Wind Solar Home Weatherization Program Info Program Type Net Metering Provider Guam Energy Office Guam's Public Utilities Commission (PUC) reviewed net metering and interconnection during a regular meeting in February 2009 (Docket 08-10). Please contact the [http://www.guampuc.com/ Guam PUC] for the results of that docket review. In 2004, Guam enacted legislation requiring the Guam Power Authority (GPA) to allow net metering for customers with fuel cells, microturbines, wind energy, biomass, hydroelectric, solar energy or hybrid systems of these

372

Population, Consumption & the Environment  

E-Print Network [OSTI]

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

Columbia University

373

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.

374

" Row: NAICS Codes; Column: Electricity Components;"  

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

1. Electricity: Components of Net Demand, 1998;" 1. Electricity: Components of Net Demand, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,,"Sales and","Net Demand","RSE" "NAICS"," ",,,"Total Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases","Transfers In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

375

" Row: NAICS Codes; Column: Electricity Components;"  

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

1 Electricity: Components of Net Demand, 2002;" 1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row" "Code(a)","Subsector and Industry","Purchases"," In(b)","Generation(c)","Offsite","Electricity(d)","Factors" ,,"Total United States"

376

SaskPower Net Metering (Saskatchewan, Canada) | Department of Energy  

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

SaskPower Net Metering (Saskatchewan, Canada) SaskPower Net Metering (Saskatchewan, Canada) SaskPower Net Metering (Saskatchewan, Canada) < Back Eligibility Commercial Agricultural Industrial Residential Savings Category Solar Buying & Making Electricity Program Info Funding Source SaskPower State Saskatchewan Program Type Net Metering Provider SaskPower Residents, farms and businesses with approved Environmental Preferred Technologies of up to 100 kilowatts (kW) of nominal (nameplate) generating capacity can deliver their excess electricity to our electrical grid. SaskPower will pay a one-time rebate, equivalent to 20% of eligible costs to a maximum payment of $20,000, for an approved and grid interconnected net metering project. The Net Metering Rebate is available to SaskPower, Saskatoon Light and Power and City of Swift Current electricity customers

377

Murray City Power - Net Metering Pilot Program | Department of Energy  

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

Murray City Power - Net Metering Pilot Program Murray City Power - Net Metering Pilot Program Murray City Power - Net Metering Pilot Program < Back Eligibility Commercial General Public/Consumer Residential Savings Category Solar Buying & Making Electricity Home Weatherization Water Wind Program Info State Utah Program Type Net Metering Provider Murray City Power Under a pilot program, Murray City Power offers net metering to customers that generate electricity using photovoltaic (PV), wind-electric or hydroelectric systems with a maximum capacity of 10 kilowatts (kW).* The utility will install and maintain a revenue meter capable of registering the bi-directional flow of electricity at the customer's facility. Any customer net excess generation (NEG) is carried over to the customer's next bill as a kilowatt-hour credit. Each April, any remaining NEG credits are

378

4. Net Generation Trends  

Gasoline and Diesel Fuel Update (EIA)

June 2009 Section 1. Commentary Electric Power Data The contiguous United States as a whole experienced near normal temperatures in June 2009. However, regional differences in temperature occurred as the South, Southeast, and Northwest all experienced above normal temperatures while the rest of the United States experienced below normal temperatures. Cooling degree days for the contiguous United States were 4.2 percent above the average for the month of June and 15.9 percent below a much warmer June 2008. In June 2009, retail sales of electricity decreased 7.3 percent compared to June 2008. This decrease in retail sales was caused mainly by the significant decline in industrial consumption as observed by the 14.6-percent decrease in industrial retail

379

4. Net Generation Trends  

Gasoline and Diesel Fuel Update (EIA)

April 2009 Section 1. Commentary Electric Power Data The contiguous United States experienced near normal temperatures in April 2009. However, regional differences in temperature occurred as the Upper Midwest and parts of the Northwest experienced below average temperatures, while much of the Northeast experienced above average temperatures. Heating degree days for the contiguous United States as a whole were 0.3 percent above the average for the month of April and 8.5 percent above a much warmer April 2008. In April 2009, retail sales of electricity decreased 4.9 percent compared to April 2008. This decrease in retail sales was caused by the significant decline in industrial consumption as observed by the 13.6-percent decrease in industrial retail sales over the same period.

380

Exposing Datapath Elements to Reduce Microprocessor Energy Consumption  

E-Print Network [OSTI]

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

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

San Diego Solar Panels Generate Clean Electricity Along with Clean Water |  

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

Diego Solar Panels Generate Clean Electricity Along with Clean Diego Solar Panels Generate Clean Electricity Along with Clean Water San Diego Solar Panels Generate Clean Electricity Along with Clean Water May 26, 2010 - 12:11pm Addthis San Diego’s Otay Water Treatment Plant is generating clean electricity along with clean water, with a total capacity of 945 KW | Photo courtesy of SunEdison San Diego's Otay Water Treatment Plant is generating clean electricity along with clean water, with a total capacity of 945 KW | Photo courtesy of SunEdison Just north of the U.S.-Mexican border, San Diego's Otay Water Treatment Plant processes up to 34 million gallons of water a day. Thanks to the city's ambitious solar energy program, the facility may soon be able to do that with net zero electricity consumption. In early April, workers activated a 945-kW solar photovoltaic (PV) energy

382

Electricity Monthly Update - Energy Information Administration  

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

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

383

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

384

State energy data report 1994: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1996-10-01T23:59:59.000Z

385

SCE&G - Net Metering | Department of Energy  

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

SCE&G - Net Metering SCE&G - Net Metering SCE&G - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Tribal Government Savings Category Bioenergy Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State South Carolina Program Type Net Metering In August 2009, the South Carolina Public Service Commission issued an order mandating net metering be made available by the regulated electric utilities; the order incorporates a net metering settlement signed by the individual interveners, the Office of Regulatory Staff and the three investor-owned utilities (IOUs). The order detailed the terms of net metering, including ownership of RECs, in South Carolina and standardized

386

Residential Energy Consumption Survey (RECS) - Energy Information  

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

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

387

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

388

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

389

Electrical Equipment of Buildings  

Science Journals Connector (OSTI)

... eleventh) edition of the regulations of the Institution of Electrical Engineers for the wiring of buildings was published in June (London: Spon. Cloth 1s. 6d. net; paper cover ... of electrical energy in and about all types of dwelling houses, business premises, public buildings and factories, whether tho electric supply is derived from an external source or from ...

1939-10-14T23:59:59.000Z

390

Definition: Net generation | Open Energy Information  

Open Energy Info (EERE)

Net generation Net generation Jump to: navigation, search Dictionary.png Net generation Equal to gross generation less electrical energy consumed at the generating station(s).[1][2] View on Wikipedia Wikipedia Definition Related Terms Electricity generation, Gross generation, power, gross generation References ↑ http://www1.eere.energy.gov/site_administration/glossary.html#N ↑ http://205.254.135.24/tools/glossary/index.cfm?id=N Retrie LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ved from "http://en.openei.org/w/index.php?title=Definition:Net_generation&oldid=480320" Category: Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load)

391

LADWP - Net Metering (California) | Department of Energy  

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

Net Metering (California) Net Metering (California) LADWP - Net Metering (California) < Back Eligibility Agricultural Commercial General Public/Consumer Industrial Residential Savings Category Solar Buying & Making Electricity Wind Program Info State California Program Type Net Metering Provider Los Angeles Department of Water and Power LADWP allows its customers to net meter their photovoltaic (PV), wind, and hybrid systems with a capacity of not more than one megawatt. LADWP will provide the necessary metering equipment unless an installation requires atypical metering equipment. In these cases the customer must cover the additional metering expenses. The customer must also pay any related interconnection fees. Excess kilowatt-hours (kWh) generated by the customer's system will be

392

State Renewable Electricity Profiles  

Reports and Publications (EIA)

Presents a summary of current and recent historical data for the renewable electric power industry. The data focuses on net summer capacity and net generation for each type of renewable generator, as well as fossil-fired and nuclear power plant types, for the period 2006 through 2010.

2012-01-01T23:59:59.000Z

393

" Column: Energy-Consumption Ratios;"  

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

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

394

Rocky Mountain Power - Net Metering | Department of Energy  

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

Rocky Mountain Power - Net Metering Rocky Mountain Power - Net Metering Rocky Mountain Power - Net Metering < Back Eligibility Agricultural Commercial Fed. Government Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Buying & Making Electricity Solar Home Weatherization Wind Program Info State Idaho Program Type Net Metering Provider Rocky Mountain Power Idaho does not have a statewide net-metering policy. However, each of the state's three investor-owned utilities -- Avista Utilities, Idaho Power and Rocky Mountain Power -- has a net-metering tariff on file with the Idaho Public Utilities Commission (PUC). The framework of the utilities' net-metering programs is similar, in that each utility: (1) offers net

395

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

statistics (Georgia) Item Value U.S. Rank NERC Region(s) SERC Primary Energy Source Natural gas Net Summer Capacity (megawatts) 38,488 7 Electric Utilities 29,293 3...

396

EIA - State Electricity Profiles  

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

statistics (New York) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Natural Gas Net Summer Capacity (megawatts) 39,520 6 Electric Utilities 10,739 26...

397

EIA - State Electricity Profiles  

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

statistics (Rhode Island) Item Value U.S. Rank NERC Region(s) NPCC Primary Energy Source Natural Gas Net Summer Capacity (megawatts) 1,781 49 Electric Utilities 8 50 Independent...

398

EIA - State Electricity Profiles  

Gasoline and Diesel Fuel Update (EIA)

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Indiana) Item Value U.S. Rank NERC Region(s) RFC Primary Energy Source Coal Net Summer Capacity (megawatts) 26,837 14...

399

EIA - State Electricity Profiles  

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

Electricity Profile 2012 Table 1. 2012 Summary Statistics (Arizona) Item Value U.S. Rank NERC Region(s) WECC Primary Energy Source Coal Net Summer Capacity (megawatts) 27,587...

400

EIA - State Electricity Profiles  

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

Alabama Table 1. 2012 Summary statistics (Alabama) Item Value U.S. Rank NERC Region(s) SERC Primary energy source Natural gas Net summer capacity (megawatts) 32,547 9 Electric...

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

EIA - State Electricity Profiles  

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

(South Dakota) Item Value U.S. Rank NERC Region(s) MROWECC Primary Energy Source Hydroelectric Net Summer Capacity (megawatts) 4,057 45 Electric Utilities 3,428 36 Independent...

402

EIA - State Electricity Profiles  

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

Summary Statistics (Illinois) Item Value U.S. Rank NERC Region(s) MRORFCSERC Primary Energy Source Nuclear Net Summer Capacity (megawatts) 45,146 5 Electric Utilities 5,274 34...

403

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

404

Manufacturing consumption of energy 1994  

SciTech Connect (OSTI)

This report provides estimates on energy consumption in the manufacturing sector of the U.S. economy based on data from the Manufacturing Energy Consumption Survey. The sample used in this report represented about 250,000 of the largest manufacturing establishments which account for approximately 98 percent of U.S. economic output from manufacturing, and an expected similar proportion of manufacturing energy use. The amount of energy use was collected for all operations of each establishment surveyed. Highlights of the report include profiles for the four major energy-consuming industries (petroleum refining, chemical, paper, and primary metal industries), and an analysis of the effects of changes in the natural gas and electricity markets on the manufacturing sector. Seven appendices are included to provide detailed background information. 10 figs., 51 tabs.

NONE

1997-12-01T23:59:59.000Z

405

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

406

World energy consumption  

SciTech Connect (OSTI)

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

NONE

1995-12-01T23:59:59.000Z

407

The economics of net metering Larry Hughes  

E-Print Network [OSTI]

jurisdictions, energy suppliers1 are required by law to accept any electricity generated by a customer-generator's consumption and generation are known. Whether an energy supplier purchases electricity from a customer the billing period; thereafter, the energy supplier has the option of purchasing the excess generation

Hughes, Larry

408

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

409

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

410

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

411

Worldwide electricity consumption of communication networks  

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

412

Issues in International Energy Consumption Analysis: Electricity...  

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

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

413

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

414

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).

415

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

E-Print Network [OSTI]

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

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

2004-01-01T23:59:59.000Z

416

Transportation Energy Consumption Surveys  

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

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

417

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

Science Journals Connector (OSTI)

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

Jules Pretty

2013-08-01T23:59:59.000Z

418

City of New Orleans - Net Metering | Department of Energy  

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

City of New Orleans - Net Metering City of New Orleans - Net Metering City of New Orleans - Net Metering < Back Eligibility Agricultural Commercial Residential Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Wind Solar Home Weatherization Program Info State Louisiana Program Type Net Metering Provider City Council Utilities Regulatory Office In May 2007, the New Orleans City Council adopted net-metering rules that are similar to rules adopted by the Louisiana Public Service Commission (PSC) in November 2005. The City Council's rules require Entergy New Orleans, an investor-owned utility regulated by the city, to offer net metering to customers with systems that generate electricity using solar energy, wind energy, hydropower, geothermal or biomass resources. Fuel

419

City of Brenham - Net Metering | Department of Energy  

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

City of Brenham - Net Metering City of Brenham - Net Metering City of Brenham - Net Metering < Back Eligibility Agricultural Commercial General Public/Consumer Industrial Institutional Nonprofit Residential Schools State Government Savings Category Bioenergy Wind Buying & Making Electricity Energy Sources Solar Program Info State Texas Program Type Net Metering Provider City of Brenham In September 2010, the City of Brenham passed an ordinance adopting net metering and interconnection procedures. Customer generators up to 10 megawatts (MW) are eligible to participate, although customer generators with systems 20 kilowatts (kW) or less are eligible for a separate rider and expedited interconnection. The utility will install and maintain a meter capable of measuring flow of electricity in both directions. Any net

420

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 . .

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

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

422

General Physics II Exam 1 -Chs. 1619 -Electric Fields, Potential, Current Feb. 14, 2011 Name Rec. Instr. Rec. Time  

E-Print Network [OSTI]

styrofoam ball? a. It has a negative net charge b. It has zero net charge. c. It has positive net charge. d at finite x where the electric field is zero. c) (8) Determine the magnitude of the net electric field. Its net charge changes when then rods are placed near it. 2. (6) An excess charge of -88 pC is placed

Wysin, Gary

423

Austin Energy - Net Metering (Texas) | Department of Energy  

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

Austin Energy - Net Metering (Texas) Austin Energy - Net Metering (Texas) Austin Energy - Net Metering (Texas) < Back Eligibility Commercial Savings Category Bioenergy Buying & Making Electricity Solar Home Weatherization Water Wind Program Info State Texas Program Type Net Metering Provider Austin Energy Austin Energy, the municipal utility of Austin Texas, offers net metering for renewable energy systems up to 20 kilowatts (kW) to its non-residential retail electricity customers. The definition of renewable includes solar*, wind, geothermal, hydroelectric, wave and tidal energy, biomass, and biomass-based waste products, including landfill gas. Systems must be used primarily to offset a portion or all of a customer's on-site electric load. Metering is accomplished using a single meter capable of registering the

424

Long Island Power Authority - Net Metering | Department of Energy  

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

Net Metering Net Metering Long Island Power Authority - Net Metering < Back Eligibility Agricultural Commercial Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Wind Solar Program Info State New York Program Type Net Metering Provider Long Island Power Authority : Note: In October 2012 the LIPA Board of Trustees adopted changes to the utility's net metering tariff that permit remote net metering for non-residential solar and wind energy systems, and farm-based biogas and wind energy systems. It also adopted a measure to increase the aggregate net metering cap for solar, agricultural biogas, residential micro-CHP and

425

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

426

Bounds on the Energy Consumption of Computational Andrew Gearhart  

E-Print Network [OSTI]

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

California at Berkeley, University of

427

Energy Consumption Patterns of the Rural Photovoltaic Market In Spain  

Science Journals Connector (OSTI)

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

A. Krenzinger; M. Montero

1987-01-01T23:59:59.000Z

428

TV Energy Consumption Trends and Energy-Efficiency Improvement Options  

E-Print Network [OSTI]

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

Park, Won Young

2011-01-01T23:59:59.000Z

429

,"Plant","Primary Energy Source","Operating Company","Net Summer...  

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

Virginia" ,"Plant","Primary Energy Source","Operating Company","Net Summer Capacity (MW)" 1,"Bath County","Pumped Storage","Virginia Electric & Power Co",3003 2,"North...

430

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

431

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

432

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

433

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

434

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

435

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

436

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

437

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)

438

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

439

"Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," Gas(d)","NGL(e)","Coke and Breeze)"  

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

3 Relative Standard Errors for Table 5.3;" 3 Relative Standard Errors for Table 5.3;" " Unit: Percents." " "," " " "," ",," ","Distillate"," "," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" "NAICS"," ","for ","Residual","and","Natural","LPG and","(excluding Coal" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," Gas(d)","NGL(e)","Coke and Breeze)" ,,"Total United States" " 311 - 339","ALL MANUFACTURING INDUSTRIES" ,"TOTAL FUEL CONSUMPTION",2,3,6,2,4,9

440

DIAGNOSING, BENCHMARKING AND TRANSFORMING THE LEED CERTIFIED FIU SIPA BUILDING INTO A NET-ZERO-ENERGY BUILDING (NET-ZEB)  

E-Print Network [OSTI]

, the energy score is not benchmarked against the AIA and DOE 2030 Challenge to make buildings carbon-neutral INTO A NET-ZERO-ENERGY BUILDING (NET-ZEB) Thomas Spiegelhalter Florida International University-Department of Construction Management Miami, FL 33174 e-mail: yckang@fiu.edu Nezih Pala FIU- Department of Electrical

Pala, Nezih

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

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.

442

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

443

Building Energy Software Tools Directory: Degree Day .Net  

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

Degree Day .Net Degree Day .Net Logo for Degree Day.net Website that generates heating and cooling degree days for locations worldwide. Degree days are commonly used in calculations relating to building energy consumption. Once you have chosen a weather station (of which there are thousands available) and specified the degree days you want (e.g. what base temperature, do you want them broken down in daily, weekly or monthly format), Degree Days.net will calculate your degree days, and give them to you as a CSV file that you can open directly in a spreadsheet. Screen Shots Keywords degree days, HDD, CDD Validation/Testing A comprehensive suite of automated tests have been written to test the software. Expertise Required Degree Days.net makes it very easy to specify and generate degree days, so

444

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

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

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

445

Reduction of Water Consumption  

E-Print Network [OSTI]

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

Adler, J.

446

Fuel Consumption and Emissions  

Science Journals Connector (OSTI)

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

Martin Treiber; Arne Kesting

2013-01-01T23:59:59.000Z

447

Spermatophore consumption in a cephalopod  

Science Journals Connector (OSTI)

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

2013-01-01T23:59:59.000Z

448

Food consumption trends and drivers  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

449

Rice consumption in China  

E-Print Network [OSTI]

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

Lan, Jin

2012-06-07T23:59:59.000Z

450

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

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

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

451

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...

452

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

453

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

454

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.

455

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.

456

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

Science Journals Connector (OSTI)

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

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

2014-04-01T23:59:59.000Z

457

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2010;" 1.1 Electricity: Components of Net Demand, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",75652,21,5666,347,80993

458

" Row: NAICS Codes; Column: Electricity Components;"  

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

1.1 Electricity: Components of Net Demand, 2006;" 1.1 Electricity: Components of Net Demand, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)" ,,"Total United States" 311,"Food",73242,309,4563,111,78003

459

Grays Harbor PUD - Net Metering | Department of Energy  

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

Net Metering Net Metering Grays Harbor PUD - Net Metering < Back Eligibility Commercial Industrial Residential Savings Category Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Home Weatherization Wind Program Info State District of Columbia Program Type Net Metering Provider Grays Harbor PUD Grays Harbor PUD's net-metering program differs slightly from what is required by Washington state law in that Grays Harbor PUD reimburses customers for net excess generation (NEG), at the end of each year, at 50% of the utility's retail rate. State law allows utilities to require customers to surrender NEG to the utility, without reimbursement, at the end of a 12-month billing cycle. Grays Harbor PUD has voluntarily gone

460

U.S. Virgin Islands - Net Metering | Department of Energy  

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

U.S. Virgin Islands - Net Metering U.S. Virgin Islands - Net Metering U.S. Virgin Islands - Net Metering < Back Eligibility Commercial Fed. Government Institutional Local Government Residential Schools State Government Tribal Government Savings Category Solar Buying & Making Electricity Wind Program Info Program Type Net Metering In February 2007, the U.S. Virgin Islands Public Services Commission approved a limited net-metering program for residential and commercial photovoltaic (PV), wind-energy or other renewable energy system up to 10 kilowatts (kW) in capacity. In July 2009, the legislature passed Act 7075 that raised the capacity limits to 20 kW for residential systems, 100 kW for commercial systems, and 500 kW for public (which includes government, schools, hospitals). The aggregate capacity limit of all net-metered systems is five megawatts

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

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

462

Energy-efficient wireless communication net-work design is an important and challenging  

E-Print Network [OSTI]

methodology achieves over traditional design methodologies, and the trade- off between energy consumption communication system and understand the trade-off between performance and energy consumption in each individualABSTRACT Energy-efficient wireless communication net- work design is an important and challenging

463

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

Science Journals Connector (OSTI)

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

V. V. Klimenko

2012-03-01T23:59:59.000Z

464

Energy management of HEV to optimize fuel consumption and pollutant emissions  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

465

Net-baryon-, net-proton-, and net-charge kurtosis in heavy-ion collisions within a relativistic transport approach  

E-Print Network [OSTI]

We explore the potential of net-baryon, net-proton and net-charge kurtosis measurements to investigate the properties of hot and dense matter created in relativistic heavy-ion collisions. Contrary to calculations in a grand canonical ensemble we explicitly take into account exact electric and baryon charge conservation on an event-by-event basis. This drastically limits the width of baryon fluctuations. A simple model to account for this is to assume a grand-canonical distribution with a sharp cut-off at the tails. We present baseline predictions of the energy dependence of the net-baryon, net-proton and net-charge kurtosis for central ($b\\leq 2.75$ fm) Pb+Pb/Au+Au collisions from $E_{lab}=2A$ GeV to $\\sqrt{s_{NN}}=200$ GeV from the UrQMD model. While the net-charge kurtosis is compatible with values around zero, the net-baryon number decreases to large negative values with decreasing beam energy. The net-proton kurtosis becomes only slightly negative for low $\\sqrt{s_{NN}}$.

Marlene Nahrgang; Tim Schuster; Michael Mitrovski; Reinhard Stock; Marcus Bleicher

2012-09-03T23:59:59.000Z

466

Energy Savings in Electric Arc Furnace Melting  

E-Print Network [OSTI]

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

Lubbeck, W.

1982-01-01T23:59:59.000Z

467

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

468

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

469

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

470

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

471

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

472

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

473

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

474

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

475

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

476

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

477

Bus HVAC energy consumption test method based on HVAC unit behavior  

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

478

Phases Energy Services County Electric Power Assn A N Electric Coop  

Open Energy Info (EERE)

Alpena Power Co Alpena Power Co Altamaha Electric Member Corp Amana Society Service Co Ambit Energy L P Ambit En ergy L P Maryland Ambit Energy L P New York Ameren Energy Marketing Ameren Energy Marketing Illinois Ameren Illinois Company Ameren Illinois Company Illinois AmeriPower LLC American Electric Power Co Inc American Mun Power Ohio Inc American PowerNet American PowerNet District of Columbia American PowerNet Maine American PowerNet Maryland American PowerNet New Jersey American Samoa Power Authority American Transmission Systems Inc Amicalola Electric Member Corp Amigo Energy Anadarko Public Works Auth Anchorage Municipal Light and Power Aniak Light Power Co Inc Anoka Electric Coop Anthracite Power Light Anza Electric Coop Inc Appalachian Electric Coop

479

Phases Energy Services County Electric Power Assn A N Electric Coop  

Open Energy Info (EERE)

Alliant Energy Alliant Energy Alpena Power Co Altamaha Electric Member Corp Amana Society Service Co Ambit Energy L P Ambit Energy L P Maryland Ambit Energy L P New York Ameren Energy Marketing Ameren Energy Marketing Illinois Ameren Illinois Company Ameren Illinois Company Illinois AmeriPower LLC American Electric Power Co Inc American Mun Power Ohio Inc American PowerNet American PowerNet District of Columbia American PowerNet Maine American PowerNet Maryland American PowerNet New Jersey American Samoa Power Authority American Transmission Systems Inc Amicalola Electric Member Corp Amigo Energy Anadarko Public Works Auth Anchorage Municipal Light and Power Aniak Light Power Co Inc Anoka Electric Coop Anthracite Power Light Anza Electric Coop Inc Appalachian Electric Coop

480

Challenges for the vehicle tester in characterizing hybrid electric vehicles  

SciTech Connect (OSTI)

Many problems are associated with applying test methods, like the Federal Test Procedure (FTP), for HEVs. Although there has been considerable progress recently in the area of HEV test procedure development, many challenges are still unsolved. A major hurdle to overcoming the challenges of developing HEV test procedures is the lack of HEV designs available for vehicle testing. Argonne National Laboratory has tested hybrid electric vehicles (HEVs) built by about 50 colleges and universities from 1994 to 1997 in annual vehicle engineering competitions sponsored in part by the U.S. Department of Energy (DOE). From this experience, the Laboratory has gathered information about the basics of HEV testing and issues important to successful characterization of HEVs. A collaboration between ANL and the Society of Automotive Engineer`s (SAE) HEV Test Procedure Task Force has helped guide the development of test protocols for their proposed procedures (draft SAE J1711) and test methods suited for DOE vehicle competitions. HEVs use an electrical energy storage device, which requires that HEV testing include more time and effort to deal with the effects of transient energy storage as the vehicle is operating in HEV mode. HEV operation with electric-only capability can be characterized by correcting the HEV mode data using results from electric-only operation. HEVs without electric-only capability require multiple tests conducted to form data correlations that enable the tester to find the result that corresponds to a zero net change in SOC. HEVs that operate with a net depletion of charge cannot be corrected for battery SOC and are characterized with emissions and fuel consumption results coupled with the electrical energy usage rate. 9 refs., 8 figs.

Duoba, M.

1997-08-01T23:59:59.000Z

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481

"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"

482

"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"