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

Estimating response to price signals in residential electricity consumption.  

E-Print Network [OSTI]

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

Huang, Yizhang

2013-01-01T23:59:59.000Z

2

Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

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

3

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

4

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

5

State Residential Energy Consumption Shares  

Gasoline and Diesel Fuel Update (EIA)

This next slide shows what fuels are used in the residential market. When a This next slide shows what fuels are used in the residential market. When a energy supply event happens, particularly severe winter weather, it is this sector that the government becomes most concerned about. As you can see, natural gas is very important to the residential sector not only in DC, MD and VA but in the United States as well. DC residents use more natural gas for home heating than do MD and VA. While residents use heating oil in all three states, this fuel plays an important role in MD and VA. Note: kerosene is included in the distillate category because it is an important fuel to rural households in MD and VA. MD and VA rely more on electricity than DC. Both MD and VA use propane as well. While there are some similarities in this chart, it is interesting to note

6

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

7

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

8

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

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

,,"(202) 586-8800",,,"182015 12:45:53 PM" "Back to Contents","Data 1: New York Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010NY2" "Date","New...

9

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

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

Heating and cooling no longer majority of U.S. home energy use Pie chart of energy consumption in homes by end uses Source: U.S. Energy Information Administration, Residential...

10

Residential Lighting End-Use Consumption  

Broader source: Energy.gov [DOE]

The U.S. DOE Residential Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications.

11

Residential Energy Consumption Survey Results: Total Energy Consumption,  

Open Energy Info (EERE)

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

12

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

Gasoline and Diesel Fuel Update (EIA)

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

13

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

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years December 20, 2013 Gas furnace efficiency has large implications for residential natural gas use December 5, 2013 EIA publishes state fact sheets on residential energy consumption and characteristics August 19, 2013 All 48 related articles › ResidentialAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. State Fact Sheets on Household Energy Use

14

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Residential Density on Vehicle Usage and Energy ConsumptionResidential Density on Vehicle Usage and Energy ConsumptionResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

15

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

The China Residential Energy Consumption Survey, Human andof Residential Building Energy Consumption in China Nan ZhouResidential Building Energy Consumption in China Nan Zhou*,

Zhou, Nan

2010-01-01T23:59:59.000Z

16

Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings  

E-Print Network [OSTI]

U.S. Residential Electricity Consumption by End Use. 2011a [average residential electricity consumption by end-use inaverage residential electricity consumption by end-use in

Garbesi, Karina

2012-01-01T23:59:59.000Z

17

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

18

PowerChoice Residential Customer Response to TOU Rates  

E-Print Network [OSTI]

Electricity Consumption .1984. “Time-of-Day Electricity Consumption Response toon Residential Electricity Consumption: The Hydro One Pilot.

Peters, Jane S.

2010-01-01T23:59:59.000Z

19

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

20

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

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

Detailed residential electric determination  

SciTech Connect (OSTI)

Data on residential loads has been collected from four residences in real time. The data, measured at 5-second intervals for 53 days of continuous operation, were statistically characterized. An algorithm was developed and incorporated into the modeling code SOLCEL. Performance simulations with SOLCEL using these data as well as previous data collected over longer time intervals indicate that no significant errors in system value are introduced through the use of long-term average data.

Not Available

1984-06-01T23:59:59.000Z

22

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

of Commercial Building Energy Consumption in China, 2008,The China Residential Energy Consumption Survey, Human andfor Residential Energy Consumption in China Nan Zhou,

Zhou, Nan

2010-01-01T23:59:59.000Z

23

ResPoNSe: modeling the wide variability of residential energy consumption.  

E-Print Network [OSTI]

affect appliance energy consumption. For example, differentStates, 2005 Residential Energy Consumption Survey: HousingModeling of End-Use Energy Consumption in the Residential

Peffer, Therese; Burke, William; Auslander, David

2010-01-01T23:59:59.000Z

24

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

end-use Residential primary energy consumption was 6.6 EJ inof primary energy. Primary energy consumption includes final14 Residential Primary Energy Consumption by Fuel (with

Zhou, Nan

2010-01-01T23:59:59.000Z

25

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

26

Solar Adoption and Energy Consumption in the Residential Sector.  

E-Print Network [OSTI]

??This dissertation analyzes the energy consumption behavior of residential adopters of solar photovoltaic systems (solar-PV). Based on large data sets from the San Diego region… (more)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

27

Firelands Electric Cooperative - Residential Energy Efficiency Rebate  

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

Firelands Electric Cooperative - Residential Energy Efficiency Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program Firelands Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Ohio Program Type Utility Rebate Program Rebate Amount Geothermal Heat Pump: $800 Air Source Heat Pump: $500 Dual Fuel Heat Pump: $250 Electric Water Heater: $100-$300 HVAC Controls: $100 Provider Firelands Electric Cooperative Firelands Electric Cooperative (FEC) is offering rebates on energy efficient equipment to residential customers receiving electric service from FEC. Eligible equipment includes new Geothermal Heat Pumps, Air-Source

28

Verdigris Valley Electric Cooperative - Residential Energy Efficiency  

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

Verdigris Valley Electric Cooperative - Residential Energy Verdigris Valley Electric Cooperative - Residential Energy Efficiency Rebate Program Verdigris Valley Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Oklahoma Program Type Utility Rebate Program Rebate Amount Room Air Conditioner: $50 Electric Water Heaters: $50 - $199 Geothermal Heat Pumps (new): $300/ton Geothermal Heat Pumps (replacement): $150/ton Air-source/Dual Fuel Heat Pumps: $150/ton Provider Verdigris Valley Electric Cooperative Verdigris Valley Electric Cooperative (VVEC) offers rebates for residential customers who purchase energy efficient home equipment. Rebates are

29

Xcel Energy (Electric)- Residential Conservation Programs  

Broader source: Energy.gov [DOE]

Xcel Energy offers its Wisconsin residential customers rebates for high efficiency appliances and systems. Currently, rebates are available for high efficiency electric water heaters, electric...

30

Covered Product Category: Residential Electric Resistance Water...  

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

Electric Resistance Water Heaters Covered Product Category: Residential Electric Resistance Water Heaters The Federal Energy Management Program (FEMP) sets Federal efficiency...

31

Cookeville Electric Department - Residential Energy Efficiency Rebate  

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

Cookeville Electric Department - Residential Energy Efficiency Cookeville Electric Department - Residential Energy Efficiency Rebate Program Cookeville Electric Department - Residential Energy Efficiency Rebate Program < Back Eligibility Commercial Residential Utility Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Energy Audit Suggested Measures: $500 Program Info State Tennessee Program Type Utility Rebate Program Rebate Amount Heat Pump: $150 Water Heater: $100 Energy Audit Suggested Measures: 50% of cost Provider Cookeville Electric Department Cookeville Electric Department, in collaboration with the Tennessee Valley Authority, offers an incentive for residential customers to install energy efficient equipment through the ''energy right'' rebate program. Rebates

32

Empire District Electric - Residential Energy Efficiency Rebate |  

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

Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate < Back Eligibility Construction Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Construction Design & Remodeling Other Ventilation Water Heating Windows, Doors, & Skylights Program Info State Missouri Program Type Utility Rebate Program Rebate Amount ENERGY STAR Home Performance Retrofit: 400 ENERGY STAR Qualified Home Designation: 800 Air Conditioner: 400 - 500; varies depending on SEER rating Provider Empire District Electric Company The Empire District Electric Company offers rebates for customers who

33

Consumers Energy (Electric) - Residential Energy Efficiency Program |  

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

Electric) - Residential Energy Efficiency Program Electric) - Residential Energy Efficiency Program Consumers Energy (Electric) - Residential Energy Efficiency Program < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Ventilation Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Maximum Rebate Home Performance Comprehensive Assessment and Installations: $3500 Insulation: $1,025 Windows: $250 Program Info State Michigan Program Type Utility Rebate Program Rebate Amount CFL Lighting: Retailer Instant Discount Programmable Thermostat: $10 Central A/C and Heat Pumps: $150 - $250 Central A/C Tune up: $50 Ground Source Heat Pump: $200-$300

34

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

Gasoline and Diesel Fuel Update (EIA)

RECS Terminology RECS Terminology A B C D E F G H I J K L M N O P Q R S T U V W XYZ A Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are "Commercial," "Industrial," "Residential," and "Other" Suppliers' definitions of these terms vary from supplier to supplier and from the definitions used in the Residential Energy Consumption Survey (RECS). In addition, the same customer may be classified differently by each of its energy suppliers. Adequacy of Insulation: The respondent's perception of the adequacy of the housing unit's insulation. Aggregate Ratio: The ratio of two population aggregates (totals). For

35

Edmond Electric- Residential Heat Pump Rebate Program  

Broader source: Energy.gov [DOE]

Edmond Electric offers rebates to residential customers who install energy-efficient heat pumps. This program applies to installations in both new and existing residential homes and complexes. Air...

36

Trends in U.S. Residential Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Trends in U.S. Residential Natural Gas Consumption Trends in U.S. Residential Natural Gas Consumption This report presents an analysis of residential natural gas consumption trends in the United States through 2009 and analyzes consumption trends for the United States as a whole (1990 through 2009) and for each Census Division (1998 through 2009). It examines a long-term downward per- customer consumption trend and analyzes whether this trend persists across Census Divisions. The report also examines some of the factors that have contributed to the decline in per-customer consumption. To provide a more meaningful measure of per-customer consumption, EIA adjusted consumption data presented in the report for weather. Questions or comments on the contents of this article should be directed to Lejla Alic at Lejla.Alic@eia.doe.gov or (202) 586-0858.

37

Minnesota Valley Electric Cooperative -Residential Energy Resource  

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

Minnesota Valley Electric Cooperative -Residential Energy Resource Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Manufacturing Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Minnesota Program Type Utility Loan Program Rebate Amount Heat Pump Installation: up to $5,000 Electric Water Heater and Installation: up to $5,000 Electric Heating Equipment: up to $5,000 Heat Pump Installation: up to $5,000 Weatherization: up to $1,500 Provider Minnesota Valley Electric Cooperative

38

DOE/EIA-0321/HRIf Residential Energy Consumption Survey. Consumption  

Gasoline and Diesel Fuel Update (EIA)

/HRIf /HRIf Residential Energy Consumption Survey. Consumption and Expenditures, April 1981 Through March 1982 an Part I: National Data Energy Information Administration Washington, D.C. (202) 20fr02 'O'Q 'uoifkjjUSBM ujiuud juaoiujeAog 'S'n siuawnooQ jo luapuaiuuadns - 0088-292 (202) 98S02 '0'Q 8f 0-d I 6ujp|ing uoiieflSjUjiup v UOIIBUJJOJU | ABjau 3 02-13 'jaiuao UOIJBUJJOJUI XBjaug IBUO!;BN noA pasopua s; uujoi japjo uy 'MO|aq jeadde sjaqoinu auoydajaj PUB sassajppv 'OI3N 9>4i oi papajip aq pinoqs X6jaue uo suotjsenQ '(OIBN) J9»ueo aqjeiMJO^ui ASjaug (BUOIJEN s,vi3 QMi JO OdO 941 UUGJJ peuiBiqo eq ABOI suoijBonqnd (vi3) UO!JBJ;S!UILUPV UOIIBUUJO|U| XBjeug jaiflo PUB SJMJ p ssBiiojnd PUB UOIIBLUJO^JI 6uuepjQ (Od9) 90IWO Bujjuud luetuujaAOQ -g'n 'sjuaiunooa p juapuaiuuedng aqt LUOJI aiqB||BAB si uoHBOjiqnd sjt|i

39

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

Gasoline and Diesel Fuel Update (EIA)

Share of energy used by appliances and consumer electronics increases in Share of energy used by appliances and consumer electronics increases in U.S. homes RECS 2009 - Release date: March 28, 2011 Over the past three decades, the share of residential electricity used by appliances and electronics in U.S. homes has nearly doubled from 17 percent to 31 percent, growing from 1.77 quadrillion Btu (quads) to 3.25 quads. This rise has occurred while Federal energy efficiency standards were enacted on every major appliance, overall household energy consumption actually decreased from 10.58 quads to 10.55 quads, and energy use per household fell 31 percent. Federal energy efficiency standards have greatly reduced consumption for home heating Total energy use in all U.S. homes occupied as primary residences decreased slightly from 10.58 quads in 1978 to 10.55 quads in 2005 as reported by the

40

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network [OSTI]

residential density on vehicle usage and energy consumption.of residential density on vehicle usage and fuel consumptionresidential density on vehicle usage and fuel consumption*

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

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

Liberty Utilities (Electric) - Residential Energy Efficiency Rebate  

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

Liberty Utilities (Electric) - Residential Energy Efficiency Rebate Liberty Utilities (Electric) - Residential Energy Efficiency Rebate Programs Liberty Utilities (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Construction Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Other Sealing Your Home Ventilation Commercial Lighting Lighting Maximum Rebate Home Performance with ENERGY STAR®: $4000 Program Info Funding Source NH Saves State New Hampshire Program Type Utility Rebate Program Rebate Amount Home Performance with ENERGY STAR®: up to $4,000 for improvements ENERGY STAR® Homes Qualification: custom incentives and technical support

42

Energy Optimization (Electric) - Residential Efficiency Program |  

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

Energy Optimization (Electric) - Residential Efficiency Program Energy Optimization (Electric) - Residential Efficiency Program Energy Optimization (Electric) - Residential Efficiency Program < Back Eligibility Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Commercial Heating & Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate Ceiling Fans: 4 Smart Power Strip: 2 Pipe Wrap: 10 ln. ft. CFL Bulbs: 12 Refrigerator Recycling: 2 Program Info State Michigan Program Type Utility Rebate Program Rebate Amount CFL Bulbs: Varies by retailer Ceiling Fan: $15 CFL Fixture: $15 LED Fixture/Downlight Kit: $20 LED Light Bulbs: $10 Smart Power Strip: $20 Room Air Conditioners: $20

43

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

44

Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching  

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

Farmers Electric Cooperative (Kalona) - Residential Efficiency Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching Grant Program Farmers Electric Cooperative (Kalona) - Residential Efficiency Matching Grant Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Commercial Heating & Cooling Program Info State Iowa Program Type Utility Grant Program Rebate Amount 50% of cost, up to $100 Provider Farmers Electric Cooperative Farmers Electric Cooperative (FEC) offers a grant program which splits the cost of simple energy efficient improvements to the home. The utility will cover 50% of the cost of eligible improvements made by the participating member. Grants are limited to $100 per year. A variety of measures and

45

Mansfield Municipal Electric Department - Residential Energy Efficiency  

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

Mansfield Municipal Electric Department - Residential Energy Mansfield Municipal Electric Department - Residential Energy Efficiency Rebate Program Mansfield Municipal Electric Department - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Maximum Rebate $100 limit per customer account for appliances purchased in the same calendar year. Program Info Expiration Date 12/31/2014 State Massachusetts Program Type Utility Rebate Program Rebate Amount Central AC: $100 Refrigerators: $100 Clothes Washing Machines: $100 Dishwashers: $75 Dehumidifiers: $50 Window Air Conditioners: $50 Provider Mansfield Municipal Electric Department Mansfield Municipal Electric Department encourages energy efficiency

46

Electricity savings potentials in the residential sector of Bahrain  

SciTech Connect (OSTI)

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

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

1996-08-01T23:59:59.000Z

47

Residential Energy Consumption Survey: Housing Characteristics,  

Gasoline and Diesel Fuel Update (EIA)

tni tni Residential Energy Consumption Survey: Housing Characteristics, 1981 Energy Information Administration Washington. D.C August 1983 T86T -UJ9AO9 aiji uuojj pasenojnd uaaq (OdO) i|oii)/v\ suoijdijosqns o; Ajdde jou saop aoiiou :e|ON asBa|d 'pjBo^sod at|j noA j| 3Sj| Suiije'Lu vi3 3M1 uo ;u!Buuaj o^sn o} }i ujnja> isnoi nox 'pJBOisod iuB»jodoi! UB aABL) pjnons hoA '}s\\ BujUBUJ VI3 9L|} uo ajB noA|| 'MaiAaj jsij SUJMBUJ suouBOjiqnd |BnuuBS}j BUJ -jonpuoo Sj (vi3) uoijej^siujuupv UOIJBLUJOIUI Afijau^ agj 'uoiieinBaj iuaoiujaAOQ Aq pajmbaj sv 30HON 02-13 maoj aapao ay 05. pa^oajjp aq pus siuamnooa jo 0088-353 (303) S8SOZ "D'Q 'uoiSu-pqsBtt T rao°H 50 UOT^BOLIOJUI

48

Evaluation of evolving residential electricity tariffs  

SciTech Connect (OSTI)

Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. This poster: examines the history of the residential pricing structure and key milestones; summarizes and analyzes the usage between 2006 and 2009 for different baseline/climate areas; discusses the residential electricity Smart Meter roll out; and compares sample bills for customers in two climates under the current pricing structure and also the future time of use (TOU) structure.

Lai, Judy; DeForest, Nicholas; Kiliccote, Sila; Stadler, Michael; Marnay, Chris; Donadee, Jon

2011-05-15T23:59:59.000Z

49

Lincoln Electric System (Residential)- Sustainable Energy Program  

Broader source: Energy.gov [DOE]

Lincoln Electric System (LES) offers several rebates to residential customers who are interested in upgrading to energy efficient household equipment. The program includes rebates for insulation...

50

Ameren Illinois (Electric) - Residential Energy Efficiency Rebates |  

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

Ameren Illinois (Electric) - Residential Energy Efficiency Rebates Ameren Illinois (Electric) - Residential Energy Efficiency Rebates Ameren Illinois (Electric) - Residential Energy Efficiency Rebates < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Sealing Your Home Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Lighting: Purchases limited to 20 CFLs per customer per year Refrigerator/Freezer Recycling: $70 (limit of 2 per customer per program year) Program Info Funding Source Illinois Energy Efficiency Portfolio Standard (EEPS) State Illinois Program Type Utility Rebate Program Rebate Amount New Construction Builder Incentives: Contact ComEd Lighting: In-store discount

51

Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency  

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

Farmers Electric Cooperative (Kalona) - Residential Energy Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency Rebate Program Farmers Electric Cooperative (Kalona) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Geothermal Heat Pumps: 5 ton CFL Bulbs: 12 bulbs per year Program Info State Iowa Program Type Utility Rebate Program Rebate Amount CFL Bulbs: $2/bulb Geothermal Heat Pumps (New Construction): $350/ton Geothermal Heat Pumps (Upgrade): $700/ton Air Source Heat Pumps (New Construction): $800 Air Source Heat Pumps (Upgrade): $400 Central Air Conditioners: $100 - $200 Heat Pump Water Heaters: $400

52

Central Hudson Gas and Electric (Electric) - Residential Energy Efficiency  

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

Central Hudson Gas and Electric (Electric) - Residential Energy Central Hudson Gas and Electric (Electric) - Residential Energy Efficiency Rebate Program Central Hudson Gas and Electric (Electric) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heat Pumps Manufacturing Appliances & Electronics Water Heating Maximum Rebate Air Sealing: $600 Program Info State New York Program Type Utility Rebate Program Rebate Amount Central AC: $400 - $600, depending on efficiency Air-source Heat Pumps: $400 - $600, depending on efficiency Electronically Commutated Motor (ECM) Furnace Fans: $200 Electric Heat Pump Water Heaters: $400 Programmable Thermostats: $25

53

Southwest Electric Cooperative - Residential Energy Efficiency Rebate  

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

Southwest Electric Cooperative - Residential Energy Efficiency Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program Southwest Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Cooling Maximum Rebate Geothermal Heat Pump: 10 tons for Residential, 50 tons for Commercial Energy Audit Repairs: $500 Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Geothermal Heat Pump (New Units): $750/ton Geothermal Heat Pump (Replacement Units): $200/ton Dual Fuel Heat Pump: $150/ton Room AC: $50 Energy Audit Repairs: 50% of cost Provider Southwest Electric Cooperative Southwest Electric Cooperative offers rebates to its customers that purchase energy efficient heating and air conditioning equipment . This

54

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

55

2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions  

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

D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Bottled Gas (LPG or Propane) Usage Form What is the purpose of the Residential Energy Consumption Survey? The Residential Energy Consumption Survey (RECS) collects data on energy consumption and expenditures in U.S. housing units. Over 5,000 statistically selected households across the U.S. have already provided information about their household, the physical characteristics of their housing unit, their energy-using equipment, and their energy suppliers. Now we are requesting the energy billing records for these households from each of their energy suppliers. After all this information has been collected, the information will be used to

56

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

E-Print Network [OSTI]

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

Kelsven, Phillip

2013-01-01T23:59:59.000Z

57

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

E-Print Network [OSTI]

2001). "Residential Energy Consumption Survey." 2006, fromCommercial Building Energy Consumption Survey." from http://Scale window-related energy consumption to account for new

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

58

Minnesota Valley Electric Cooperative - Residential Energy Efficiency  

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

Minnesota Valley Electric Cooperative - Residential Energy Minnesota Valley Electric Cooperative - Residential Energy Efficiency Rebate Program Minnesota Valley Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Appliances & Electronics Heat Pumps Maximum Rebate Ground-Source Heat Pump: 5 ton maximum Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Clothes Washer: $25 Freezer/Refrigerator: $25 Dishwasher: $25 Air-Source Heat Pump: $500 Ground-Source Heat Pump: $200 per ton Electric Resistant Heating Products: $10 per kW Mini-Split Heat Pumps: $75 Central A/C or Heat Pump Tune-Up: $25 Provider Minnesota Valley Electric Cooperative Minnesota Valley Electric Cooperative (MVEC) offers financial incentives to

59

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

60

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

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

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

62

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

63

Shrewsbury Electric - Residential Energy Efficiency Rebate Program |  

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

Shrewsbury Electric - Residential Energy Efficiency Rebate Program Shrewsbury Electric - Residential Energy Efficiency Rebate Program Shrewsbury Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Program Info Expiration Date 12/31/2012 State Massachusetts Program Type Utility Rebate Program Rebate Amount Clothes Washer: $50 Refrigerator: $50 Dish Washer: $50 Room Air Conditioner: $25 Provider EFI In collaboration with EFI, Shrewsbury Electric offers rebates on ENERGY STAR appliances. Eligible products include washing machines, dishwashers, refrigerators, and room air conditioners. Customers will need to fill out an appliance mail-in rebate form that can be obtained at the Town Hall or on the Town of Shrewsbury web site. Information will be required including

64

Chicopee Electric Light- Residential Solar Rebate Program  

Broader source: Energy.gov [DOE]

Chicopee Electric Light offered rebates to residential customers who install solar photovoltaic systems on their homes. Customer rebates are $0.50 per watt for a maximum of $2,500 per installation.

65

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

66

Evaluation of evolving residential electricity tariffs  

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

Evaluation of evolving residential electricity tariffs Evaluation of evolving residential electricity tariffs Title Evaluation of evolving residential electricity tariffs Publication Type Conference Paper Year of Publication 2011 Authors Lai, Judy, Nicholas DeForest, Sila Kiliccote, Michael Stadler, Chris Marnay, and Jonathan Donadee Conference Name ECEEE Summer Study, June 6-11, 2011 Date Published 06/2011 Publisher LBNL Conference Location Belambra Presqu'île de Giens, France Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. A relatively simple two-tiered pricing system (charges by usage under/over baseline for the home's climate zone) was replaced in the summer of 2001 by a more complicated five-tiered system (usage below baseline and up to 30%, 100%, 200%, and 300%+ over baseline). In 2009, PG&E began the process of upgrading its residential customers to Smart Meters and laying the groundwork for time of use pricing, due to start in 2011. This paper examines the history of the tiered pricing system, discusses the problems the utility encountered with its Smart Meter roll out, and evaluates the proposed dynamic pricing incentive structures. Scenario analyses of example PG&E customer bills will also be presented. What would these residential customers pay if they were still operating under a tiered structure, and/or if they participated in peak hour reductions?

67

DOETEIAO32l/2 Residential Energy Consumption Survey; Consumption  

Gasoline and Diesel Fuel Update (EIA)

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

68

American Municipal Power (Public Electric Utilities) - Residential  

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

American Municipal Power (Public Electric Utilities) - Residential American Municipal Power (Public Electric Utilities) - Residential Efficiency Smart Program (Ohio) American Municipal Power (Public Electric Utilities) - Residential Efficiency Smart Program (Ohio) < Back Eligibility Residential Savings Category Heating & Cooling Cooling Appliances & Electronics Commercial Lighting Lighting Water Heating Program Info Funding Source American Municipal Power Start Date 01/2011 Expiration Date 12/31/2013 State Ohio Program Type Utility Rebate Program Rebate Amount Ceiling Fan with Lights: $15 Dehumidifier: $25 Select Clothes Washer: $50 ENERGY STAR Refrigerator: $50 Refrigerator/Freezer Recycling: $50 Furnace Fan with ECM: $100 Heat Pump Water Heaters: $250 CFLs: up to 85% of cost Efficiency Smart (tm) provides energy efficiency incentives to the American

69

Roseville Electric - Residential New Construction Rebate Program |  

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

New Construction Rebate Program New Construction Rebate Program Roseville Electric - Residential New Construction Rebate Program < Back Eligibility Commercial Construction Installer/Contractor Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Sealing Your Home Ventilation Solar Buying & Making Electricity Program Info State California Program Type Utility Rebate Program Rebate Amount Energy Efficiency: $500/unit Solar PV: $2/watt Shade Trees: $30/tree Provider Roseville Electric Roseville Electric provides financial incentives to encourage local builders to construct energy efficient homes which incorporate solar resources. Participating builders can choose to build Preferred Homes or

70

Alliant Energy Interstate Power and Light (Electric) - Residential...  

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

Residential Energy Efficiency Rebate Program (Iowa) Alliant Energy Interstate Power and Light (Electric) - Residential Energy Efficiency Rebate Program (Iowa) < Back Eligibility...

71

Residential Energy Consumption for Water Heating (2005) | OpenEI  

Open Energy Info (EERE)

for Water Heating (2005) for Water Heating (2005) Dataset Summary Description Provides total and average annual residential energy consumption for water heating in U.S. households in 2005, measured in both physical units and Btus. The data is presented for numerous categories including: Census Region and Climate Zone; Housing Unit Characteristics (type, year of construction, size, income, race, age); and Water Heater and Water-using Appliance Characteristics (size, age, frequency of use, EnergyStar rating). Source EIA Date Released September 01st, 2008 (6 years ago) Date Updated January 01st, 2009 (5 years ago) Keywords Energy Consumption Residential Water Heating Data application/vnd.ms-excel icon 2005_Consumption.for_.Water_.Heating.Phys_.Units_EIA.Sep_.2008.xls (xls, 67.6 KiB)

72

Table A4. Residential sector key indicators and consumption  

Gasoline and Diesel Fuel Update (EIA)

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

73

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

74

El Paso Electric Company - Residential Solutions Program | Department of  

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

Residential Solutions Program Residential Solutions Program El Paso Electric Company - Residential Solutions Program < Back Eligibility Installer/Contractor Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Windows, Doors, & Skylights Program Info State Texas Program Type Utility Rebate Program Rebate Amount Residential Solutions Program: $425/kW saved Low-Income Solutions Program: $576/kW saved Provider El Paso Electric Company '''The El Paso Electric Residential Solutions Program funding has been expended in Texas for 2012. New funding will be available January 1, 2013. ''' The El Paso Electric Residential Solutions Program offers El Paso Electric

75

Baltimore Gas and Electric Company (Electric) - Residential Energy  

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

Baltimore Gas and Electric Company (Electric) - Residential Energy Baltimore Gas and Electric Company (Electric) - Residential Energy Efficiency Rebate Program Baltimore Gas and Electric Company (Electric) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Sealing Your Home Ventilation Manufacturing Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Contact BGE Program Info State Maryland Program Type Utility Rebate Program Rebate Amount Central A/C: $150 - $500 Air Source Heat Pump: $200 - $500 Ductless Mini-Split Heat Pump: $300 Geothermal Heat Pump (Closed Loop): $500 Duct Sealing: $250 Tune-ups: $100 Heat Pump Water Heater: $350 Room A/C: $25

76

HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling  

E-Print Network [OSTI]

HomeSim: Comprehensive, Smart, Residential Electrical Energy Simulation and Scheduling J. Venkatesh.edu + {jc.junqua, phmorin} @us.panasonic.com Abstract-- Residential energy constitutes 38% of the total energy consumption in the United States [1]. Although a number of building simulators have been proposed

Simunic, Tajana

77

National Grid (Electric) - Residential Energy Efficiency Rebate Programs  

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

National Grid (Electric) - Residential Energy Efficiency Rebate National Grid (Electric) - Residential Energy Efficiency Rebate Programs (Upstate New York) National Grid (Electric) - Residential Energy Efficiency Rebate Programs (Upstate New York) < Back Eligibility Installer/Contractor Multi-Family Residential Residential Savings Category Other Commercial Weatherization Manufacturing Appliances & Electronics Program Info State New York Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $30 Multifamily Energy Evaluation: Free assessment, installation of up to ten CFLs/unit, water efficiency measures, hot water pipe and tank wrap, and a $300 rebate for refrigerator replacement costs. Provider National Grid Residential Upstate Efficiency Programs National Grid residential electric customers in Upstate New York are

78

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

Gasoline and Diesel Fuel Update (EIA)

Where does RECS square footage data come from? Where does RECS square footage data come from? RECS 2009 - Release date: July 11, 2012 The size of a home is a fixed characteristic strongly associated with the amount of energy consumed within it, particularly for space heating, air conditioning, lighting, and other appliances. As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow comparison of homes with varying characteristics. In-person measurements are vital because many alternate data sources, including property tax records, real estate listings, and, respondent estimates use varying definitions and under-estimate square footage as defined for the purposes of evaluating residential energy consumption.

79

Roseville Electric - Residential Energy Efficiency Rebate Program |  

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

Energy Efficiency Rebate Program Energy Efficiency Rebate Program Roseville Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Maximum Rebate Sunscreens: $150 Shade Tree: 6 trees Program Info Expiration Date 06/30/2013 State California Program Type Utility Rebate Program Rebate Amount Air Conditioner/Heat Pump: $400 Pool Pump (Variable Speed): $300 Clothes Washer: up to $75 CFLs: Exchange up to 10 bulbs Sunscreens: $0.75/sq. ft. Shade Tree: $25 - $50/tree Roseville Electric offers incentives to its residential customers that encourage energy efficient improvements and equipment upgrades in eligible homes. Rebates of up to $75 are available to customers who install CEE tier

80

East Central Electric Cooperative - Residential Rebate Program | Department  

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

East Central Electric Cooperative - Residential Rebate Program East Central Electric Cooperative - Residential Rebate Program East Central Electric Cooperative - Residential Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Cooling Program Info State Oklahoma Program Type Utility Rebate Program Rebate Amount Replacement ground source heat pump - $150 per ton Complete system (unit and ground loop) - $750 per ton Electric water heater - $150 Energy Star Room AC - $50 Energy Star clothes washer - varies depending on cost Energy Star dishwasher - varies depending on cost Provider East Central Electric Cooperative East Central Electric Cooperative offers rebates to residential customers to install energy-efficient ground source heat pumps, electric water

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

Lane Electric Cooperative- Residential and Commercial Weatherization Grant Program  

Broader source: Energy.gov [DOE]

Lane Electric Cooperative offers energy efficient Weatherization Grant Programs to Lane Electric residential and commercial members: a residential cash grant for 25% of measure costs up to $1,000,...

82

Alternative Fuels Data Center: Residential Electric Vehicle Supply  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Residential Electric Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Google Bookmark Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Delicious Rank Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Residential Electric Vehicle Supply Equipment (EVSE) Tax Credit on AddThis.com...

83

NYSEG (Electric) - Residential Efficiency Program | Department of Energy  

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

NYSEG (Electric) - Residential Efficiency Program NYSEG (Electric) - Residential Efficiency Program NYSEG (Electric) - Residential Efficiency Program < Back Eligibility Multi-Family Residential Residential Savings Category Appliances & Electronics Commercial Lighting Lighting Program Info Funding Source System Benefits Charge Start Date 5/1/2011 State New York Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $50 rebate and free removal Multifamily Dwelling Units: 6 free CFLS and smart power strips Multifamily Common Area Ligting: 50% off custom lighting upgrades Provider NYSEG/RG&E NYSEG is offering residential electric customers rebates for recycling refrigerators, and its multifamily customers free CFLs, smart power strips and 50% off common area lighting equipment. All equipment requirements must

84

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

Gasoline and Diesel Fuel Update (EIA)

How does EIA estimate energy consumption and end uses in U.S. homes? How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses â€" information critical to meeting future energy demand and improving efficiency and building design. RECS uses a multi-stage area probability design to select sample methodology figure A multi-stage area probability design ensures the selection

85

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

Gasoline and Diesel Fuel Update (EIA)

About the MECS About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010 MECS 2006-2010 - Release date: March 28, 2012 Energy consumption in the U.S. manufacturing sector fell from 21,098 trillion Btu (tBtu) in 2006 to 19,062 tBtu in 2010, a decline of almost 10 percent, based on preliminary estimates released from the 2010 Manufacturing Energy Consumption Survey (MECS). This decline continues the downward trend in manufacturing energy use since the 1998 MECS report.

86

Is Efficiency Enough? Towards a New Framework for Carbon Savings in the California Residential Sector  

E-Print Network [OSTI]

www.energy.ca.gov/electricity/consumption_by_sector.html.1999. “Domestic Electricity Consumption and Lifestyle. ” Inper-capita residential electricity consumption (site) 1978–

Moezzi, Mithra; Diamond, Rick

2005-01-01T23:59:59.000Z

87

San Isabel Electric Association - Residential Energy Efficiency Rebate  

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

San Isabel Electric Association - Residential Energy Efficiency San Isabel Electric Association - Residential Energy Efficiency Rebate Program San Isabel Electric Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Marathon Water Heaters: $175 Marathon Water Heaters w/ SIEA Load Control Program: $425 Electric Water Heater (minimum 30 gallon): $100 Washers: $80 Dryer w/ Moisture Sensor: $50 Dishwashers: $60 Refrigerators: $90 Freezers: $90 ETS Room Units: $72 - $180 ETS Furnaces: $432 - $768 Provider San Isabel Electric Association San Isabel Electric Association (SIEA) provides incentives for its residential customers to install energy efficient equipment. Rebates are

88

Salt River Electric - Residential Energy Efficiency Rebate Program |  

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

Salt River Electric - Residential Energy Efficiency Rebate Program Salt River Electric - Residential Energy Efficiency Rebate Program Salt River Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Other Ventilation Heat Pumps Program Info State Kentucky Program Type Utility Rebate Program Rebate Amount Varies by technology Provider Salt River Electric Cooperative Salt River Electric serves as the rural electric provider in Kentucky's Bullitt, Nelson, Spencer, and Washington counties. Residential customers are eligible for a variety of cash incentives for energy efficiency. The Touchstone Energy Home Program provides a rebate of up to $250 to customers

89

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

90

Redding Electric - Residential and Commercial Energy Efficiency Rebate  

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

Residential and Commercial Energy Efficiency Residential and Commercial Energy Efficiency Rebate Program Redding Electric - Residential and Commercial Energy Efficiency Rebate Program < Back Eligibility Commercial Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Other Ventilation Manufacturing Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate Windows: $250 - Residential; $750 (Commercial) Insulation: up to $500 - Residential; pre-approval required - Commercial Water Heater Blanket: $20 per unit Radiant/Thermal Barrier Material: $500 - Residential; pre-approval required - Commercial Duct Repair/Replacement: $500

91

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

Gasoline and Diesel Fuel Update (EIA)

EIA household energy use data now includes detail on 16 States EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census Regions and nine Divisions. In 1997, EIA produced additional tabulations for the four most populous States (California, New York, Texas, and Florida). A threefold increase in the number of households included in the 2009 RECS offers more accuracy and coverage for understanding energy usage for all estimated States, Regions and Divisions.

92

Electricity and Natural Gas Efficiency Improvements for Residential Gas  

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

and Natural Gas Efficiency Improvements for Residential Gas and Natural Gas Efficiency Improvements for Residential Gas Furnaces in the U.S. Title Electricity and Natural Gas Efficiency Improvements for Residential Gas Furnaces in the U.S. Publication Type Report LBNL Report Number LBNL-59745 Year of Publication 2006 Authors Lekov, Alexander B., Victor H. Franco, Stephen Meyers, James E. McMahon, Michael A. McNeil, and James D. Lutz Document Number LBNL-59745 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract This paper presents analysis of the life-cycle costs for individual households and the aggregate energy and economic impacts from potential energy efficiency improvements in U.S. residential furnaces. Most homes in the US are heated by a central furnace attached to ducts for distributing heated air and fueled by natural gas. Electricity consumption by a furnace blower is significant, comparable to the annual electricity consumption of a major appliance. Since the same blower unit is also used during the summer to circulate cooled air in centrally air conditioned homes, electricity savings occur year round. Estimates are provided of the potential electricity savings from more efficient fans and motors. Current regulations require new residential gas-fired furnaces (not including mobile home furnaces) to meet or exceed 78% annual fuel utilization efficiency (AFUE), but in fact nearly all furnaces sold are at 80% AFUE or higher. The possibilities for higher fuel efficiency fall into two groups: more efficient non-condensing furnaces (81% AFUE) and condensing furnaces (90-96% AFUE). There are also options to increase the efficiency of the furnace blower. This paper reports the projected national energy and economic impacts of requiring higher efficiency furnaces in the future. Energy savings vary with climate, with the result that condensing furnaces offer larger energy savings in colder climates. The range of impacts for a statistical sample of households and the percent of households with net savings in life cycle cost are shown. Gas furnaces are somewhat unusual in that the technology does not easily permit incremental change to the AFUE above 80%. Achieving significant energy savings requires use of condensing technology, which yields a large efficiency gain (to 90% or higher AFUE), but has a higher cost. With respect to electricity efficiency design options, the ECM has a negative effect on the average LCC. The current extra cost of this technology more than offsets the sizable electricity savings.

93

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...

94

Lakeland Electric - Residential Conservation Rebate Program | Department of  

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

Lakeland Electric - Residential Conservation Rebate Program Lakeland Electric - Residential Conservation Rebate Program Lakeland Electric - Residential Conservation Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Commercial Lighting Lighting Maximum Rebate HVAC Maintenance: one rebate per central unit per household per year Heat Pump (AC Replacement): One rebate per central location Program Info State Florida Program Type Utility Rebate Program Rebate Amount Heat Pump: $400 HVAC Maintenance: $50 Attic Insulation Upgrade: $200 CFLs: 3 free bulbs, when an energy audit is scheduled Energy Saving Kit: Provided after energy audit Refrigerator: $200, with proper recycling of old refrigerator Provider Lakeland Electric Lakeland Electric offers a conservation program for residential customers

95

Energy Efficiency Fund (Electric and Gas) - Residential New Construction  

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

Energy Efficiency Fund (Electric and Gas) - Residential New Energy Efficiency Fund (Electric and Gas) - Residential New Construction Program Energy Efficiency Fund (Electric and Gas) - Residential New Construction Program < Back Eligibility Construction Installer/Contractor Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Sealing Your Home Ventilation Heating Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Varies Program Info Funding Source Energy Efficiency Fund State Connecticut Program Type Utility Rebate Program Rebate Amount Varies by technology for prescriptive measures and whether the applicant is seeking ENERGY STAR Certification or Home Energy Rating System (HERS)

96

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

97

DOE/EIA-0314(82) Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

4(82) 4(82) Residential Energy Consumption Survey: Housing Characteri stics 1982 Published: August 1984 U-'VVv*' ^**" ^ Energy Information Administration Washington, D.C. This public ation is availa ble from the Supe rinten dent of Docu ments , U.S. Gove rnme nt Printin g Office (GPO ). Order ing inform ation and purch ase of this and other Energ y Inform ation Admi nistra tion (EIA) public ations may be obtain ed from the GPO or the ElA's Natio nal Energ y Inform ation Cente r (NEIC ). Ques tions on energ y statis tics

98

Sample design for the residential energy consumption survey  

SciTech Connect (OSTI)

The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

Not Available

1994-08-01T23:59:59.000Z

99

NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency Rebates |  

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

NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency Rebates NIPSCO (Gas and Electric) - Residential Natural Gas Efficiency Rebates < Back Eligibility Construction Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Varies Provider Energy Efficiency Programs Group Northern Indiana Public Service Corporation (NIPSCO) offers rebates to residential customers that install energy efficient gas and electric measures in homes through the NIPSCO Energy Efficiency Rebate Program. The program is available to all residential NIPSCO natural gas and electric customers. Flat rebates are offered for natural gas boilers, natural gas

100

Pearl River Valley Electric Power Association - Residential Energy  

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

Pearl River Valley Electric Power Association - Residential Energy Pearl River Valley Electric Power Association - Residential Energy Efficiency Rebate Program Pearl River Valley Electric Power Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Mississippi Program Type Utility Rebate Program Rebate Amount New Homes Heat Pump: $150 - $500 Geothermal Heat Pump: $500 Electric Water Heater: $150 Existing Homes Heat Pump: $200 Gas to Electric Water Heater Conversion: $150 Provider Pearl River Valley Electric Power Association Pearl River Valley Electric Power Association provides incentives through its Comfort Advantage Program to encourage energy efficiency within the

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

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

Gasoline and Diesel Fuel Update (EIA)

The impact of increasing home size on energy demand The impact of increasing home size on energy demand RECS 2009 - Release date: April 19, 2012 Homes built since 1990 are on average 27% larger than homes built in earlier decades, a significant trend because most energy end-uses are correlated with the size of the home. As square footage increases, the burden on heating and cooling equipment rises, lighting requirements increase, and the likelihood that the household uses more than one refrigerator increases. Square footage typically stays fixed over the life of a home and it is a characteristic that is expensive, even impractical to alter to reduce energy consumption. According to results from EIA's 2009 Residential Energy Consumption Survey (RECS), the stock of homes built in the 1970s and 1980s averages less than

102

Florida Keys Electric Cooperative - Residential Rebate Program | Department  

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

Florida Keys Electric Cooperative - Residential Rebate Program Florida Keys Electric Cooperative - Residential Rebate Program Florida Keys Electric Cooperative - Residential Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Insulation Design & Remodeling Windows, Doors, & Skylights Program Info State Florida Program Type Utility Rebate Program Rebate Amount Rebates $25 - $500, max $1000 per member Florida Keys Electric Cooperative offers residential members rebates for installing energy efficient measures. To qualify for rebates, members must first call FKEC and make an appointment for a free home energy audit. An FKEC trained auditor will assess the home and make recommendations for

103

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)

104

Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate  

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

Central Alabama Electric Cooperative - Residential Energy Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program Central Alabama Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate $1,200 Program Info State Alabama Program Type Utility Rebate Program Rebate Amount Touchstone Energy Homes with Geothermal/Dual-Fuel Heat Pumps: $200 for whole home, plus $200 per ton of heat pump Provider Central Alabama Electric Cooperative Central Alabama Electric Cooperative, a Touchstone Electric Cooperative, offers the Touchstone Energy Home Program. Touchstone Energy Homes with a

105

Evaluation of evolving residential electricity tariffs  

SciTech Connect (OSTI)

Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. A relatively simple two-tiered pricing system (charges by usage under/over baseline for the home's climate zone) was replaced in the summer of 2001 by a more complicated five-tiered system (usage below baseline and up to 30percent, 100percent, 200percent, and 300percent+ over baseline). In 2009, PG&E began the process of upgrading its residential customers to Smart Meters and laying the groundwork for time of use pricing, due to start in 2011. This paper examines the history of the tiered pricing system, discusses the problems the utility encountered with its Smart Meter roll out, and evaluates the proposed dynamic pricing incentive structures. Scenario analyses of example PG&E customer bills will also be presented. What would these residential customers pay if they were still operating under a tiered structure, and/or if they participated in peak hour reductions?

Lai, Judy; DeForest, Nicholas; Kiliccote, Sila; Stadler, Michael; Marnay, Chris; Donadee, Jon

2011-03-22T23:59:59.000Z

106

ConEd (Electric) - Residential Energy Efficiency Incentives Program |  

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

ConEd (Electric) - Residential Energy Efficiency Incentives Program ConEd (Electric) - Residential Energy Efficiency Incentives Program ConEd (Electric) - Residential Energy Efficiency Incentives Program < Back Eligibility Installer/Contractor Low-Income Residential Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heating Heat Pumps Appliances & Electronics Water Heating Program Info State New York Program Type Utility Rebate Program Rebate Amount Central A/C: $400 or $600 Central Air Source Heat Pump: $400 or $600 Electric Heat Pump Water Heater: $400 Energy Star Thermostats: up to $25 Duct Sealing: $100/hr Air Sealing: $75/hr Refrigerator/Freezer Recycling: $50 Con Edison is offering the Residential HVAC Electric Rebate Program.

107

Tampa Electric - Residential Energy Efficiency Rebate Program | Department  

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

Tampa Electric - Residential Energy Efficiency Rebate Program Tampa Electric - Residential Energy Efficiency Rebate Program Tampa Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Construction Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Windows, Doors, & Skylights Program Info State Florida Program Type Utility Rebate Program Rebate Amount New Construction Ductwork: $100 Ceiling Insulation: $150 HVAC: $275 per unit Windows: $400 Water Heating: $150 Energy Star Homes Certification: $100 Existing Homes In-Home Energy Audit: Free HVAC Maintenance: $75 HVAC ECM Motor Replacement: $135 Heat Pump: $275 - $400 Ceiling Insulation: $200 - $350 Wall Insulation: $0.31 per square foot

108

Ames Electric Department - Residential Energy Efficiency Rebate Programs |  

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

Ames Electric Department - Residential Energy Efficiency Rebate Ames Electric Department - Residential Energy Efficiency Rebate Programs Ames Electric Department - Residential Energy Efficiency Rebate Programs < Back Eligibility Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Home Weatherization Construction Commercial Weatherization Design & Remodeling Heat Pumps Commercial Lighting Lighting Maximum Rebate Appliances: 50% of the equipment cost Programmable Thermostats: 3 per household Room AC: 2 per household Program Info State Iowa Program Type Utility Rebate Program Rebate Amount Energy Star New Home: $500 Energy Audit: FREE Lighting: $2 - $16 per fixture Lighting Sensors: $10 per unit Refrigerators: $25 - $100 Freezers: $50 Dishwashers: $50

109

Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate  

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

Salem Electric - Residential, Commercial, and Industrial Efficiency Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate Program Salem Electric - Residential, Commercial, and Industrial Efficiency Rebate Program < Back Eligibility Commercial Fed. Government Industrial Local Government Multi-Family Residential Nonprofit Residential State Government Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Sealing Your Home Ventilation Manufacturing Heating & Cooling Commercial Heating & Cooling Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Maximum Rebate ENERGY Star Light Fixtures: Not to exceed 50% of the fixture cost Program Info State Oregon Program Type Utility Rebate Program Rebate Amount Refrigerators: $60 Freezers: $60 Clothes Washers: $60

110

Alliant Energy Interstate Power and Light (Electric) - Residential Energy  

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

Alliant Energy Interstate Power and Light (Electric) - Residential Alliant Energy Interstate Power and Light (Electric) - Residential Energy Efficiency Rebate Program (Iowa) Alliant Energy Interstate Power and Light (Electric) - Residential Energy Efficiency Rebate Program (Iowa) < Back Eligibility Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Commercial Heating & Cooling Appliances & Electronics Other Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Program Info State Iowa Program Type Utility Rebate Program Rebate Amount Central Air Conditioners: $100 - $200 Air Source Heat Pumps: $100 - $400 Geothermal Heat Pumps: $300/ton + $50/EER/ton Fan Motors: $50/unit Programmable Thermostats: $25 Tank Water Heater: $50

111

DTE Energy (Electric) - Residential Energy Efficiency Program | Department  

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

DTE Energy (Electric) - Residential Energy Efficiency Program DTE Energy (Electric) - Residential Energy Efficiency Program DTE Energy (Electric) - Residential Energy Efficiency Program < Back Eligibility Low-Income Residential Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Construction Design & Remodeling Ventilation Commercial Lighting Lighting Windows, Doors, & Skylights Maximum Rebate Contact DTE Program Info State Michigan Program Type Utility Rebate Program Rebate Amount Air Sealing: up to $150 Floor Insulation: $50 - $100 Bandjoist Insulation: $50 - $100 Wall Insulation: Up to $250 Ceiling Insulation: Up to $250 Window Replacement: $30 (window); $60 (picture window/sliding glass door)

112

Norwich Public Utilities (Electric) - Residential Energy Efficiency Rebate  

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

Norwich Public Utilities (Electric) - Residential Energy Efficiency Norwich Public Utilities (Electric) - Residential Energy Efficiency Rebate Program Norwich Public Utilities (Electric) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Energy Star rebate: one rebate per appliance per residential utility customer Program Info Expiration Date 12/31/12 State Connecticut Program Type Utility Rebate Program Rebate Amount Refrigerators/Freezers: $60 Washing Machines: $60 Room AC: $60 Heat Pump Water Heater: $500 Central AC: $200 - $300/ton Dual Enthalpy Economizer Controls: $250 Air Source Heat Pump: $200 - $300/ton Geothermal Heat Pump: $150/ton

113

Columbia Rural Electric Association - Residential Energy Efficiency Rebate  

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

Columbia Rural Electric Association - Residential Energy Efficiency Columbia Rural Electric Association - Residential Energy Efficiency Rebate Program Columbia Rural Electric Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Windows, Doors, & Skylights Program Info Expiration Date 9/31/2013 State District of Columbia Program Type Utility Rebate Program Rebate Amount Clothes Washer: $50 Dish Washer: $20 Refrigerator: $35 Freezer: $20 Electric Water Heater: $25 Marathon Electric Water Heater: $150 - $200 Heat Pump Water Heater: $150 CFLs: $1 - $10/fixture PTCS Duct Sealing: $300 PTCS Commissioning/Controls: $200

114

Southern Pine Electric Power Association - Residential Energy Efficiency  

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

Southern Pine Electric Power Association - Residential Energy Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program Southern Pine Electric Power Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Program Info State Mississippi Program Type Utility Rebate Program Rebate Amount Comfort Advantage Plus Homes with Heat Pumps: $500 Comfort Advantage Homes with Heat Pumps: $300 Additional Heat Pump: $150 Provider Southern Pine Electric Power Association Southern Pine Electric Power Association offers the Comfort Advantage Home Program which provides rebates on heat pumps to new homes which meet certain Comfort Advantage weatherization standards. To qualify for this rebate the home must have:

115

Linn County Rural Electric Cooperative - Residential Energy Efficiency  

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

Linn County Rural Electric Cooperative - Residential Energy Linn County Rural Electric Cooperative - Residential Energy Efficiency Rebate Program Linn County Rural Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Construction Design & Remodeling Sealing Your Home Windows, Doors, & Skylights Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Program Info State Iowa Program Type Utility Rebate Program Rebate Amount Varies by technology Provider Linn County Rural Electric Cooperative Association Linn County Rural Electric Cooperative Association (Linn County RECA) is a member-owned cooperative. To encourage energy efficiency, Linn County

116

Douglas Electric Cooperative - Residential Energy Efficiency Rebate Program  

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

Douglas Electric Cooperative - Residential Energy Efficiency Rebate Douglas Electric Cooperative - Residential Energy Efficiency Rebate Program Douglas Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Heat Pumps Windows, Doors, & Skylights Program Info State Oregon Program Type Utility Rebate Program Rebate Amount Clothes Washers: $50 PTCS Heat Pumps: $1000 Ductless Heat Pumps: $1000 Energystar Manufactured Homes: $500 Weatherization: 25% - Up To $350 Provider Central Electric Cooperative Douglas Electric Cooperative offers rebates to its members for the purchase of energy efficient products and measures. Rebates include clothes washers,

117

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

Gasoline and Diesel Fuel Update (EIA)

Air conditioning in nearly 100 million U.S. homes Air conditioning in nearly 100 million U.S. homes RECS 2009 - Release date: August 19, 2011 line chart:air conditioning in U.S. figure dataExcept in the temperate climate regions along the West coast, air conditioners (AC) are now standard equipment in most U.S. homes (Figure 1). As recently as 1993, only 68% of all occupied housing units had AC. The latest results from the 2009 Residential Energy Consumption Survey (RECS) show that 87 percent of U.S. households are now equipped with AC. This growth occurred among all housing types and in every Census region. Wider use has coincided with much improved energy efficiency standards for AC equipment, a population shift to hotter and more humid regions, and a housing boom during which average housing sizes increased.

118

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

Gasoline and Diesel Fuel Update (EIA)

What's new in our home energy use? What's new in our home energy use? RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from over 12,000 U.S. households. This report highlights findings from the survey, with details presented in the Household Energy Characteristics tables. How we use energy in our homes has changed substantially over the past three decades. Over this period U.S. homes on average have become larger, have fewer occupants, and are more energy-efficient. In 2005, energy use per household was 95 million British thermal units (Btu) of energy compared with 138 million Btu per household in 1978, a drop of 31 percent. Did You Know? Over 50 million U.S. homes have three or more televisions.

119

Gibson Electric Membership Corporation - Residential Energy Efficient Water  

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

Gibson Electric Membership Corporation - Residential Energy Gibson Electric Membership Corporation - Residential Energy Efficient Water Heater Loan Program Gibson Electric Membership Corporation - Residential Energy Efficient Water Heater Loan Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Maximum Rebate No financing cap for water heater. Program Info State Tennessee Program Type Utility Loan Program Rebate Amount Electric-to-Electric Water Heater Installation: up to $100 Gas-to-Electric Energy Heater Installation: up to $175 Provider Gibson Electric Membership Corporation Gibson Electric Membership Corporation provides loans to its residential customers to finance new, energy efficient water heaters. The loans are interest-free and can be paid off in as many as 3 years. To participate,

120

Avista Utilities (Electric) - Residential Energy Efficiency Rebate Programs  

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

Avista Utilities (Electric) - Residential Energy Efficiency Rebate Avista Utilities (Electric) - Residential Energy Efficiency Rebate Programs (Idaho) Avista Utilities (Electric) - Residential Energy Efficiency Rebate Programs (Idaho) < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Incentives should not exceed 50% of the actual measure cost. Program Info State Idaho Program Type Utility Rebate Program Rebate Amount Replacement of Electric Straight Resistance: $750 Air Source Heat Pump: $100 Variable Speed Motor: $100 Refrigerator/Freezer Recycling: $30 Water Heater: $30 Floor and Wall Insulation: $0.50/sq. ft. Attic and Ceiling Insulation: $0.25/sq. ft.

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

Gunnison County Electric - Residential Energy Efficiency Rebate Program |  

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

Gunnison County Electric - Residential Energy Efficiency Rebate Gunnison County Electric - Residential Energy Efficiency Rebate Program Gunnison County Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Heat Pumps Commercial Lighting Lighting Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Dishwashers: $45/unit Clothes Washers: $60/unit Refrigerators: $60/unit Freezers: $60/unit Refrigerator Recycling: $40/unit Freezer Recycling: $40/unit Electric Water Heaters (30-gal capacity, 6-year warranty, mandated EF rating): $70/unit Super Efficient Water Heater: $120/unit (primary heating must be from geothermal heat pump) Water Heaters (lifetime warranty): Additional $25/unit

122

Avista Utilities (Electric) - Residential Energy Efficiency Rebate Programs  

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

Avista Utilities (Electric) - Residential Energy Efficiency Rebate Avista Utilities (Electric) - Residential Energy Efficiency Rebate Programs Avista Utilities (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Construction Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Incentives will not exceed 50% of the actual measure cost Program Info State District of Columbia Program Type Utility Rebate Program Rebate Amount Air Source Heat Pump: $100 Variable Speed Motor: $100 Water Heater: $30 Replacement of Electric Straight Resistance: $750 Floor and Wall Insulation: $0.50/sq. ft. Attic and Ceiling Insulation: $0.25/sq. ft.

123

North Arkansas Electric Cooperative, Inc - Residential Energy Efficiency  

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

North Arkansas Electric Cooperative, Inc - Residential Energy North Arkansas Electric Cooperative, Inc - Residential Energy Efficiency Loan Program North Arkansas Electric Cooperative, Inc - Residential Energy Efficiency Loan Program < Back Eligibility Residential Savings Category Home Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Commercial Weatherization Ventilation Heating & Cooling Commercial Heating & Cooling Heat Pumps Maximum Rebate $10,000 (amounts loaned above $10,000 will have an adjusted interest rate) Program Info State Arkansas Program Type Utility Loan Program Rebate Amount Heat Pumps: up to $10,000 Provider Customer Service North Arkansas Electric Cooperative (NAEC), a Touchstone Energy Cooperative, serves approximately 35,000 member accounts in seven different

124

PPL Electric Utilities- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

PPL Electric Utilities offers numerous rebates and incentives for its residential customers. Refer to the program web site for complete details.

125

Cherokee Electric Cooperative- Residential Energy Efficiency Loan Programs  

Broader source: Energy.gov [DOE]

Cherokee Electric Coop offers loans to residential customers for making energy efficiency improvements. In association with the Tennessee Valley Authority (TVA), the Energy Right program offers...

126

Guadalupe Valley Electric Cooperative- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

Guadalupe Valley Electric Cooperative (GVC) offers a variety of incentives to help residential customers save energy. Rebates are available for energy efficient new homes and improvements to...

127

Ameren Missouri (Electric) - Residential Energy Efficiency Rebate Programs  

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

Ameren Missouri (Electric) - Residential Energy Efficiency Rebate Ameren Missouri (Electric) - Residential Energy Efficiency Rebate Programs Ameren Missouri (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Refrigerator/Freezer Recycling: 3 units Program Info State Missouri Program Type Utility Rebate Program Rebate Amount CFL's: In-store discounts, Online Store Refrigerator/Freezer Recycling: $50 Air Source Heat Pump: $300 - $650 Central AC: $150 - $425 Electronically Commutated Blower Motor: $50 - $100 Geothermal Heat Pump: $600 Diagnostic Tune-Up: $75 Programmable Thermostat: $25 Electric Storage Water Heater: $25

128

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

SciTech Connect (OSTI)

In 2001, DOE initiated a rulemaking process to consider whether to amend the existing energy efficiency standards for furnaces and boilers. A key factor in DOE's consideration of new standards is their cost-effectiveness to consumers. Determining cost-effectiveness requires an appropriate comparison of the additional first cost of energy efficiency design options with the savings in operating costs. This report describes calculation of equipment energy consumption (fuel and electricity) based on estimated conditions in a sample of homes that are representative of expected furnace and boiler installations. To represent actual houses with furnaces and boilers in the United States, we used a set of houses from the Residential Energy Consumption Survey of 1997 conducted by the Energy Information Administration. Our calculation methodology estimates the energy consumption of alternative (more-efficient) furnaces, if they were to be used in each house in place of the existing equipment. We developed the method of calculation described in this report for non-weatherized gas furnaces. We generalized the energy consumption calculation for this product class to the other furnace product classes. Fuel consumption calculations for boilers are similar to those for the other furnace product classes. The electricity calculations for boilers are simpler than for furnaces, because boilers do not provide thermal distribution for space cooling as furnaces often do.

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

2004-02-01T23:59:59.000Z

129

Baltimore Gas and Electric Company (Gas) - Residential Energy Efficiency  

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

(Gas) - Residential Energy (Gas) - Residential Energy Efficiency Rebate Program Baltimore Gas and Electric Company (Gas) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Manufacturing Heating & Cooling Commercial Heating & Cooling Heating Program Info State Maryland Program Type Utility Rebate Program Rebate Amount Gas Furnace: $300 or $400 Duct Sealing: $200 Tune-ups: $100 Installation Rebates: Contact BGE The Baltimore Gas and Electric Company (BGE) offers the Smart Energy Savers Program for residential natural gas customers to improve the energy efficiency of eligible homes. Rebates are available for furnaces, HVAC system tune-ups, and insulation measures. All equipment and installation

130

Yellowstone Valley Electric Cooperative - Residential/Commercial Efficiency  

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

You are here You are here Home » Yellowstone Valley Electric Cooperative - Residential/Commercial Efficiency Rebate Program Yellowstone Valley Electric Cooperative - Residential/Commercial Efficiency Rebate Program < Back Eligibility Commercial Residential Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Heat Pumps Water Heating Maximum Rebate Add-On Heat Pump: $800 Geothermal Heat Pump: $1,000 (residential); $5,000 (commercial) Program Info State Montana Program Type Utility Rebate Program Rebate Amount Add-On Heat Pump: $200 per ton Geothermal Heat Pump: $200/ton (residential); $150/ton (commercial) Water Heater: $100 - $150 Energy Star Dishwasher: $25 Energy Star Refrigerator: $25 Energy Star Clothes Washer: $50 Provider

131

Co-Mo Electric Cooperative - Residential Energy Efficiency Rebate Program |  

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

Co-Mo Electric Cooperative - Residential Energy Efficiency Rebate Co-Mo Electric Cooperative - Residential Energy Efficiency Rebate Program Co-Mo Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Commercial Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Cooling Maximum Rebate Geothermal Heat Pumps: 10 ton maximum for Residential, 50 ton maximum for Commercial Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Room AC: $50 Water Heater: $50 Air Source Heat Pumps: $150 per ton Dual Fuel Air Source Heat Pumps: $300 per ton Geothermal Heat Pumps (Closed Loop): up to $850 per ton Geothermal Heat Pumps (Open Loop or Replacement): $150 per ton Provider Co-Mo Electric Cooperative Co-Mo Electric Cooperative provides rebates to residential and commercial

132

Dixie Electric Cooperative - Residential Heat Pump Loan Program |  

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

Dixie Electric Cooperative - Residential Heat Pump Loan Program Dixie Electric Cooperative - Residential Heat Pump Loan Program Dixie Electric Cooperative - Residential Heat Pump Loan Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Home Weatherization Windows, Doors, & Skylights Maximum Rebate $5,000 Program Info State Alabama Program Type Utility Loan Program Rebate Amount up to $5,000 Provider Dixie Electric Cooperative Dixie Electric Cooperative, a Touchstone Electric Cooperative, offers the Energy Resources Conservation (ERC) loan to residential customers pursue energy efficiency measures. The program allows a maximum loan of $5,000 at a 5% interest rate. Funds can be used for improvements, upgrades, gas to electric conversions, or installation of a heat pump system. The payments

133

Sand Mountain Electric Cooperative - Residential Heat Pump Loan Program |  

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

Sand Mountain Electric Cooperative - Residential Heat Pump Loan Sand Mountain Electric Cooperative - Residential Heat Pump Loan Program Sand Mountain Electric Cooperative - Residential Heat Pump Loan Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Program Info State Alabama Program Type Utility Loan Program Rebate Amount 7% interest rate 5 or 10 year pay schedule maximum of $12,000 Provider Sand Mountain Electric Cooperative The Sand Mountain Electric Cooperative offers a heat pump loan program to eligible residential members. To qualify, members must have had power with Sand Mountain Electric Cooperative for at least one year, have the home electric bill and deeds in the same name, and pass a credit check. Heat pumps must be installed by a [http://www.smec.coop/heatpumpcontractors.htm

134

Owen Electric - Residential Energy Efficiency Rebate Program | Department  

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

Owen Electric - Residential Energy Efficiency Rebate Program Owen Electric - Residential Energy Efficiency Rebate Program Owen Electric - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Home Weatherization Construction Commercial Weatherization Commercial Heating & Cooling Design & Remodeling Heat Pumps Maximum Rebate Contact Owen Electric Program Info State Kentucky Program Type Utility Rebate Program Rebate Amount Button-Up Insulation: $40 per 1,000 BTU reduction Air Source Heat Pump: $500 - $1000 Touchstone Energy Home: Up to $750 Provider Owen Electric Cooperative, Inc. Owen Electric Cooperative, Inc. (OEC) serves over 150,000 customers in nine north-central Kentucky counties: Boone, Campbell, Carroll, Gallatin, Grant, Kenton, Owen, Pendleton and Scott. For residential customers, Owen Electric

135

RESIDENTIAL COMPLEX WITH A LOW ENERGY CONSUMPTION AT PRATO (ITALY)  

Science Journals Connector (OSTI)

ABSTRACT During recent years in Italy there has been widespread experimentation with passive solar technologies, carried out for the main part on multi-storey residential buildings in highly urbanized situations. Some important findings have emerged from these; in particular bioclimatic criteria have shown the possibility of allowing 50% higher energy savings with respect to traditional buildings, while on the other hand bringing very high extra-costs (up to 40 - 50% of construction costs) in addition to considerable inconveniences for inhabitants (reduction in quality of living conditions, cooling problems in Summer). The pilot project we are presenting has come out of these reflections and is the outcome of collaboration between the Florence Autonomous Institute for Pubblic Housing and AGIP Petroli; its principal goal is the sperimentation with intermediary solutions between the traditional building model and bioclimatic prototypes constructed during the last few years, thereby examining the real feasibility of low - energy consumption building within the ambit of constraints placed upon government subsidized building. KEYWORDS Italy, housing, low energy consumption housing, bioclimatic architecture, passive solar sistems.

Francesco Pica; Gabriella Pistone; Riccardo Roda

1988-01-01T23:59:59.000Z

136

DOE/EIA-0262/1 Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

62/1 62/1 Residential Energy Consumption Survey: 1979-1980 Consumption and Expenditures Part I: National Data (including Conservation) April 1981 U.S. Department of Energy Energy Information Administration Assistant Administrator for Program Development Office of the Consumption Data System Residential and Commercial Data Systems Division ' 1 7 T Z 8 0 T T 8 - 8 d * N u o f s s a o o y ' S O S ^ - m ( E O Z ) a u o q d a i a i . ' t j a o j S 9 j g ' u o - p s - p A f a s ^ o n p o a ^ a a ^ n d m o o - m o j j a j q B T T B A B ' ( a d B i J - p a a u S B K ) T O O / T 8 - J Q / 3 0 Q p j o q a s n o H r X a A j n s u o - p ^ d m n s u o o O Q ' 3 j o : m o a j a j q B j f ^ A ^ ^ ^ ^ s a a o d a a a A o q B a q ^ j o ' 8 - T Z T O O - C O O - T 9 0 ' Q N ^ 3 3 S O d O ' 9 f r Z Q - V I 3 / 3 0 Q * T 8 6 T € < 7 - 9 i T O O - e 0 0 - 1 9 0 O d O ' ^ / Z O Z O - V i a / a O Q ' 0 8 6 T a u n r * 6 ^ 6 T 3 s n 3 n y o ^ a u n f ' p j o q a s n o H j o s u a a ^ ^ B ^ u o f a d n m s u o o : X a A j n g u o f ^ d m n s u o o X

137

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

138

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

139

Lodi Electric Utility - Residential Energy Efficiency Rebate Program |  

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

Lodi Electric Utility - Residential Energy Efficiency Rebate Lodi Electric Utility - Residential Energy Efficiency Rebate Program Lodi Electric Utility - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Appliances & Electronics Sealing Your Home Ventilation Windows, Doors, & Skylights Maximum Rebate Energy Efficient Home Improvement Rebate Program: Maximum total rebate in a 12-month period is $500 per customer service address, PLUS, an additional $250 allowance for air duct repair, or an additional $800 allowance for air duct replacement, if eligible. Program Info State California Program Type Utility Rebate Program Rebate Amount Refrigerator: $50 Clothes Washer: $50 Dishwasher: $25 Air Duct Testing: $125

140

Black Hills Energy (Electric) - Residential Energy Efficiency Program |  

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

Electric) - Residential Energy Efficiency Electric) - Residential Energy Efficiency Program Black Hills Energy (Electric) - Residential Energy Efficiency Program < Back Eligibility Construction Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Appliances & Electronics Sealing Your Home Ventilation Heat Pumps Commercial Lighting Lighting Water Heating Maximum Rebate Attic Insulation: $500 Wall Insulation: $500 Air Sealing: $300 Program Info Start Date 7/1/2010 Expiration Date 12/31/2013 State Colorado Program Type Utility Rebate Program Rebate Amount Energy Star New Home: Contact Black Hills Energy Air-Source Heat Pump Split System: $400 Central A/C: $500-$700 Ground Source Heat Pumps: $1,200

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

Ashland Electric Utility - Residential Energy Efficiency Rebate Programs |  

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

Ashland Electric Utility - Residential Energy Efficiency Rebate Ashland Electric Utility - Residential Energy Efficiency Rebate Programs Ashland Electric Utility - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Heating & Cooling Construction Commercial Heating & Cooling Design & Remodeling Sealing Your Home Ventilation Heat Pumps Water Heating Windows, Doors, & Skylights Program Info State Oregon Program Type Utility Rebate Program Rebate Amount Washing Machines: $35 - $100 Dishwashers: $25 - $60 Refrigerators: $25 - $35 Refrigerator Recycling: $30 Water Heaters: $65 Ductwork: 80% of the cost up to $300 Insulation: Up to 70% of the cost Windows: $6.00 per square foot High-Efficiency Heat Pumps: $600

142

Empire District Electric - Residential Energy Efficiency Rebate Program  

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

Empire District Electric - Residential Energy Efficiency Rebate Empire District Electric - Residential Energy Efficiency Rebate Program (Arkansas) Empire District Electric - Residential Energy Efficiency Rebate Program (Arkansas) < Back Eligibility Commercial Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Design & Remodeling Windows, Doors, & Skylights Ventilation Maximum Rebate Central Air Conditioner: $500 Weatherization Measures: Total cost of measures eligible for rebate cannot exceed $2,964 Program Info State Arkansas Program Type Utility Rebate Program Rebate Amount Energy Audits: Varies Weatherization Measures: 25% - 50% of cost Central Air Conditioner: $400 - $500 Programmable Thermostat: $25

143

Farmers Electric Cooperative - Residential/Agricultural Energy Efficiency  

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

Farmers Electric Cooperative - Residential/Agricultural Energy Farmers Electric Cooperative - Residential/Agricultural Energy Efficiency Rebate Program Farmers Electric Cooperative - Residential/Agricultural Energy Efficiency Rebate Program < Back Eligibility Agricultural Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Texas Program Type Utility Rebate Program Rebate Amount Electric Water Heaters: $100 Air-Source Heat Pumps: $150 Geothermal Heat Pumps: $1,000 Provider Farmers Electric Cooperative Farmers Electric Cooperative offers incentives for its residential and agricultural members to increase the energy efficiency of eligible homes and facilities. In order to receive rebates, equipment and installation must meet program requirements. Rebates are available for qualifying air

144

Pee Dee Electric Cooperative - Residential Energy Efficiency Rebate Program  

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

Pee Dee Electric Cooperative - Residential Energy Efficiency Rebate Pee Dee Electric Cooperative - Residential Energy Efficiency Rebate Program Pee Dee Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Dual Fuel Heat Pumps: two systems per house Geothermal Heat Pumps: $1,000 Program Info State South Carolina Program Type Utility Rebate Program Rebate Amount Dual Fuel Heat Pumps: $500 Geothermal Heat Pumps: $200/ton Electric Water Heaters: $200 - $250, depending on size Provider Pee Dee Electric Cooperative Pee Dee Electric Cooperative offers a variety of programs for residential members to save energy in participating homes. Rebates are available for

145

Aiken Electric Cooperative Inc - Residential Water Heater Rebate Program |  

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

Aiken Electric Cooperative Inc - Residential Water Heater Rebate Aiken Electric Cooperative Inc - Residential Water Heater Rebate Program Aiken Electric Cooperative Inc - Residential Water Heater Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State South Carolina Program Type Utility Rebate Program Rebate Amount Free high efficiency water Heater; $200 installation fee Water heater and timer with normal installation: $2.50 credit for 10 years Timer only: $200 cash payment and $2.50 credit for 10 years New construction contract home: $250 Provider Aiken Electric Cooperative Aiken Electric Cooperative offers residential members rebates for installing high-efficiency electric water heaters and/or timers in their homes. Customers have four rebate options:

146

Cuivre River Electric - Residential Energy Efficiency Rebate Programs |  

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

Cuivre River Electric - Residential Energy Efficiency Rebate Cuivre River Electric - Residential Energy Efficiency Rebate Programs Cuivre River Electric - Residential Energy Efficiency Rebate Programs < Back Eligibility Commercial Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Geothermal Heat Pumps: Maximum of 10 tons for residential systems and 50 tons for commercial systems Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Water Heater: $50 Geothermal Heat Pumps: $750/ton Dual Fuel Air-source Heat Pumps: $150/ton Provider Cuivre River Electric Cuivre River Electric Cooperative, through the Take Control and Save program, offers rebates for cooperative members who purchase efficient geothermal and dual fuel heat pumps, and electric water heaters. Water

147

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

148

Table 18. Total Residential Energy Consumption, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Residential Energy Consumption, Projected vs. Actual Residential Energy Consumption, Projected vs. Actual (quadrillion Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 10.1 10.1 10.1 10.1 10.2 10.2 AEO 1983 9.8 9.9 10.0 10.1 10.2 10.1 10.0 AEO 1984 9.9 9.9 10.0 10.2 10.3 10.3 10.5 AEO 1985 9.8 10.0 10.1 10.3 10.6 10.6 10.9 AEO 1986 9.6 9.8 10.0 10.3 10.4 10.8 10.9 AEO 1987 9.9 10.2 10.3 10.3 10.4 10.5 10.5 10.5 10.5 10.6 AEO 1989* 10.3 10.5 10.4 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 10.5 AEO 1990 10.4 10.7 10.8 11.0 11.3 AEO 1991 10.2 10.7 10.7 10.8 10.8 10.8 10.9 10.9 10.9 11.0 11.0 11.0 11.1 11.2 11.2 11.3 11.4 11.4 11.5 11.6 AEO 1992 10.6 11.1 11.1 11.1 11.1 11.1 11.2 11.2 11.3 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.8 11.9 12.0 AEO 1993 10.7 10.9 11.0 11.0 11.0 11.1 11.1 11.1 11.1 11.2 11.2 11.2 11.2 11.3 11.3 11.4 11.4 11.5 AEO 1994 10.3 10.4 10.4 10.4

149

Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual  

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

Total Delivered Residential Energy Consumption, Projected vs. Actual Total Delivered Residential Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 10.3 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.4 10.5 10.5 10.5 10.5 10.5 10.6 10.6 AEO 1995 11.0 10.8 10.8 10.8 10.8 10.8 10.8 10.7 10.7 10.7 10.7 10.7 10.7 10.7 10.8 10.8 10.9 AEO 1996 10.4 10.7 10.7 10.7 10.8 10.8 10.9 10.9 11.0 11.2 11.2 11.3 11.4 11.5 11.6 11.7 11.8 AEO 1997 11.1 10.9 11.1 11.1 11.2 11.2 11.2 11.3 11.4 11.5 11.5 11.6 11.7 11.8 11.9 12.0 AEO 1998 10.7 11.1 11.2 11.4 11.5 11.5 11.6 11.7 11.8 11.9 11.9 12.1 12.1 12.2 12.3 AEO 1999 10.5 11.1 11.3 11.3 11.4 11.5 11.5 11.6 11.6 11.7 11.8 11.9 12.0 12.1 AEO 2000 10.7 10.9 11.0 11.1 11.2 11.3 11.4 11.5 11.6 11.7 11.8 11.9 12.0

150

Missouri Rural Electric Cooperative - Residential Energy Efficiency Rebate  

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

Missouri Rural Electric Cooperative - Residential Energy Efficiency Missouri Rural Electric Cooperative - Residential Energy Efficiency Rebate Program Missouri Rural Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Heat Pumps Commercial Lighting Lighting Water Heating Cooling Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Clothes Washer: $100 Dishwasher: $50 Room AC Unit: $50 Water Heaters: $50 - $100 CFL Light Bulbs: Free Geothermal Heat Pumps: $250/ton Ground Loop Replacement: $500/ton Dual Fuel Air Source Heat Pumps: $150/ton Provider Missouri Rural Electric Cooperative Missouri Rural Electric Cooperative (MREC) offers a number of rebates to residential customers for the purchase and installation of energy efficient

151

PECO Energy (Electric) - Residential Energy Efficiency Rebate Program |  

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

PECO Energy (Electric) - Residential Energy Efficiency Rebate PECO Energy (Electric) - Residential Energy Efficiency Rebate Program PECO Energy (Electric) - Residential Energy Efficiency Rebate Program < Back Eligibility Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Water Heating Program Info Expiration Date 12/31/2012 State Pennsylvania Program Type Utility Rebate Program Rebate Amount Effective June 1, 2013: Central A/C: $400 Air-Source Heat Pump: $300-$400 Geothermal Heat Pump: $200/ton Heat Pump Water Heater: $400 Storage Tank Electric Water Heater: $25 Room Air Conditioner: $25 Refrigerator: $50 Refrigerator/Freezer Recycling: $35 PECO electric service customers are eligible for rebates on ENERGY STAR qualified appliances and HVAC equipment. Whether eligible technologies are

152

Bangor Hydro Electric Company - Residential and Small Commercial Heat Pump  

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

Bangor Hydro Electric Company - Residential and Small Commercial Bangor Hydro Electric Company - Residential and Small Commercial Heat Pump Program (Maine) Bangor Hydro Electric Company - Residential and Small Commercial Heat Pump Program (Maine) < Back Eligibility Commercial Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Program Info State Maine Program Type Utility Rebate Program Rebate Amount Mini-Split Heat Pumps: $600; plus 7.75% financing if necessary Provider Bangor Hydro Electric Company Bangor Hydro Electric Company offers a two-tiered incentive program for residential and small commercial customers. Mini-Split Heat Pumps are eligible for a rebate of $600, as well as a loan to cover the initial cost of the heat pump purchase. Financing is offered at 7.75% APR, for up to

153

Platte-Clay Electric Cooperative - Residential Energy Efficiency Rebates |  

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

Platte-Clay Electric Cooperative - Residential Energy Efficiency Platte-Clay Electric Cooperative - Residential Energy Efficiency Rebates Platte-Clay Electric Cooperative - Residential Energy Efficiency Rebates < Back Eligibility Commercial Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Room Air Conditioners: $50 Geothermal Heat Pump: $750/ton new installation; $150/ton for replacement Dual Fuel Heat Pump: $150/ton plus $.01 rate reduction (above 200 kWh) Water Heaters: Discounted price Provider Platte-Clay Electric Cooperative Platte-Clay Electric Cooperative offers a variety of rebates to residential and commercial customers who wish to upgrade to energy efficient equipment. Newly installed ground source heat pumps are eligible for a $750 per ton

154

Central New Mexico Electric Cooperative - Residential Energy Efficiency  

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

New Mexico Electric Cooperative - Residential Energy New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program Central New Mexico Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Appliances & Electronics Water Heating Program Info State New Mexico Program Type Utility Rebate Program Rebate Amount Refrigerator/Freezers: $80 per unit Clothes Washers: $40 per unit Dishwashers: $30 per unit Water Heaters: $70 per unit Water Heater with Timer-Controller/Low-Wattage (3kW or less) Element: additional $50/unit Water Heater Lifetime warranty: additional $50/unit Provider Central New Mexico Electric Cooperative Central New Mexico Electric Cooperative (CNMEC) provides an incentive for its residential members to purchase energy efficient water heaters, clothes

155

Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate  

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

Ozark Border Electric Cooperative - Residential Energy Efficiency Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program Ozark Border Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Cooling Maximum Rebate Air Source Heat Pump: 4 tons or $600 per metered account Water Heater: $75 per metered account Program Info State Missouri Program Type Utility Rebate Program Rebate Amount Geothermal Heat Pump: $750 per ton per metered account Geothermal Heat Pump Replacement: $150/ton Air Source Heat Pump: $150 per ton per metered account Water Heater: $50 - $75 Room AC: $50 Provider Ozark Border Electric Cooperative Ozark Border Electric Cooperative has made rebates available to residential

156

Cheyenne Light, Fuel and Power (Electric) - Residential Energy Efficiency  

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

Cheyenne Light, Fuel and Power (Electric) - Residential Energy Cheyenne Light, Fuel and Power (Electric) - Residential Energy Efficiency Rebate Program Cheyenne Light, Fuel and Power (Electric) - Residential Energy Efficiency Rebate Program < Back Eligibility Multi-Family Residential Residential Savings Category Appliances & Electronics Commercial Lighting Lighting Water Heating Program Info State Wyoming Program Type Utility Rebate Program Rebate Amount Home Energy Audit: Contact Cheyenne Light, Fuel and Power CFL Bulbs: Up to 10 CFL bulbs at reduced cost Water Heater: $75 Refrigerator Recycling: $30 Cheyenne Light, Fuel and Power offers incentives to electric customers who wish to install energy efficient equipment in participating homes. Incentives are available for home energy audits, CFL light bulbs, tank water heaters and refrigerator recycling. Water heater purchases and

157

MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate  

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

MidAmerican Energy (Electric) - Residential Energy Efficiency MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate Programs MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Program Info Start Date 1/1/2011 Expiration Date 12/31/2012 State Illinois Program Type Utility Rebate Program Rebate Amount Room Air Conditioners: $25 Central Air Conditioners: $100-$200 Heat Pumps: $100-$400 Ground-source Heat Pumps: $1000-$2000 Desuperheaters: $100 Programmable Thermostat: $20 Provider MidAmerican Energy Company MidAmerican Energy offers a variety of incentives for residential customers to improve the energy efficiency of participating homes. Electric customers of MidAmerican Energy qualify for rebates on programmable thermostats, air

158

MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate  

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

Electric) - Residential Energy Efficiency Electric) - Residential Energy Efficiency Rebate Programs MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Water Heating Program Info Expiration Date 12/31/2013 State South Dakota Program Type Utility Rebate Program Rebate Amount Electric Water Heaters: $50 Room Air Conditioning Unit: $40 Central Air Conditioning: $150 - $1625 Air-to-Air Heat Pumps: $150 - $1700 Add-on Heat Pumps: $150 - $1700 Provider MidAmerican Energy Company MidAmerican Energy offers a variety of incentives for residential customers to improve the energy efficiency of their homes. Eligible customers are eligible for rebates on water heaters, air conditioners, air-source heat

159

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

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years

160

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

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

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years

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

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

Gasoline and Diesel Fuel Update (EIA)

About the RECS About the RECS RECS Survey Forms RECS Maps RECS Terminology Archived Reports State fact sheets Arizona household graph See state fact sheets › 2009 RECS Features Heating and cooling no longer majority of U.S. home energy use March 7, 2013 Newer U.S. homes are 30% larger but consume about as much energy as older homes February 12, 2013 Where does RECS square footage data come from? July 11, 2012 RECS data show decreased energy consumption per household June 6, 2012 The impact of increasing home size on energy demand April 19, 2012 Did you know that air conditioning is in nearly 100 million U.S. homes? August 19, 2011 See more > graph of U.S. electricity end use, as explained in the article text U.S. electricity sales have decreased in four of the past five years

162

South Alabama Electric Cooperative - Residential Energy Efficiency Loan  

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

Alabama Electric Cooperative - Residential Energy Efficiency Alabama Electric Cooperative - Residential Energy Efficiency Loan Program South Alabama Electric Cooperative - Residential Energy Efficiency Loan Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Heating & Cooling Commercial Heating & Cooling Heat Pumps Program Info State Alabama Program Type Utility Loan Program Rebate Amount Air-Source Heat Pump Loan: up to $5,000 Geothermal Heat Pump Loan: up to $12,000 Provider South Alabama Electric Cooperative South Alabama Electric Cooperative (SAEC) is a part owner of Alabama Electric Cooperative which has a generation facility in Andalusia, Alabama. The Energy Resources Conservation Loan (ERC) helps members of the

163

Dakota Electric Association - Residential Energy Efficiency Rebate Program  

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

Dakota Electric Association - Residential Energy Efficiency Rebate Dakota Electric Association - Residential Energy Efficiency Rebate Program Dakota Electric Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount CFL's: $1/bulb LED's: $3/bulb AC/Heat Pump Tune-Up: $25 Central AC/Heat Pump: $30 - $330 depending on SEER rating Air-Source Heat Pump: $330 for off peak control Ductless Air-Source Heat Pump: $300 Furnace Motor: $100 Geothermal Heat Pump: $400/ton Storage Electric Heating: $25 per kW Electric/Heat Pump Water Heater: $100 - $200 Refrigerator: $75 Freezer: $75 Provider Dakota Electric Service

164

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

World Conference on Photovoltaic Energy Conversion, 2003,Effects of Residential Photovoltaic Energy Systems on Homeand renewable energy technologies, solar photovoltaic (PV)

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

165

Lake Region Electric Cooperative - Residential Energy Efficiency Rebate  

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

Lake Region Electric Cooperative - Residential Energy Efficiency Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Maximum Rebate Limit one rebate per appliance Geothermal Heat Pumps: 20 tons Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Refrigerator: $75 with recycling of old unit Freezer: $75 with recycling of old unit Ductless Air-Source Heat Pump: $300 Air-Source Heat Pump: $330 - $630 Central AC: $50 - $200 Geothermal Heat Pump: $100 - $400/ton CFLs: Free Recycling Provider Lake Region Electric Cooperative Lake Region Electric Cooperative (LREC) offers a variety of rebates for

166

Butler Rural Electric Cooperative - Residential Rebate Program (Ohio) |  

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

Butler Rural Electric Cooperative - Residential Rebate Program Butler Rural Electric Cooperative - Residential Rebate Program (Ohio) Butler Rural Electric Cooperative - Residential Rebate Program (Ohio) < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Heat Pumps Program Info State Ohio Program Type Utility Rebate Program Rebate Amount Geothermal Systems (New Installations): $1,200 Geothermal Systems (Replacement Systems): $600 Dual Fuel Heating Systems (New Installations): $600 Dual Fuel Heating Systems (Replacements): $300 Air Source Heat Pump Systems (New and Replacements): $300 Marathon Water Heaters: $350 - $550 Provider Butler Rural Electric Cooperative, Inc. Butler Rural Electric Cooperative provides rebates for geothermal heat pumps, dual fuel heating systems, and water heaters. A $1,200 rebate is

167

Barron Electric Cooperative - Residential Energy Resource Conservation Loan  

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

Barron Electric Cooperative - Residential Energy Resource Barron Electric Cooperative - Residential Energy Resource Conservation Loan Program Barron Electric Cooperative - Residential Energy Resource Conservation Loan Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Heating Heat Pumps Appliances & Electronics Water Heating Windows, Doors, & Skylights Maximum Rebate $5,000 Program Info State Wisconsin Program Type Utility Loan Program Rebate Amount up to $5,000 Provider Barron Electric Cooperative A 5-year weatherization and energy-efficient heating and cooling equipment loan for up to $5,000 at 3% interest is available for Barron Electric Cooperative (BEC) members who complete some or all of the recommendations

168

Residential energy consumption across different population groups : comparative analysis for latino and non-latino households in USA.  

SciTech Connect (OSTI)

Residential energy cost is an important part of the household budget and could vary significantly across different population groups in many countries. In the United States, many studies have analyzed household fuel consumption by fuel type, including electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG), and by geographic areas. Past research has also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, our research shows that residential energy demand by fuel type for Latinos, the fastest growing population group, has not been explained by economic and non-economic factors in any statistical model in public domain. The purpose of this paper was to discuss energy demand and expenditure patterns for Latino and non-Latino households in the United States as a case example of analyzing residential energy consumption across different population groups in a country. The linear expenditure system model developed by Stone and Geary is the basis of the statistical model developed to explain fuel consumption and expenditures for Latino households. For comparison, the models are also developed for non-Latino, black, and non-black households. These models estimate energy consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. Significant variations in the patterns of these fuels consumption for Latinos and non-Latinos are highlighted. The model methodology and results of this research should be useful to energy policymakers in government and industry, researches, and academicians who are concerned with economic and energy issues related to various population groups in their country.

Poyer, D. A.; Henderson, L.; Teotia, A. P. S.; Energy Systems; Univ. of Baltimore

1997-01-01T23:59:59.000Z

169

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

4 4 Ownership (1) Owned 54.9 104.5 40.3 78% Rented 77.4 71.7 28.4 22% Public Housing 75.7 62.7 28.7 2% Not Public Housing 77.7 73.0 28.4 19% 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008 2005 Residential Delivered Energy Consumption Intensities, by Ownership of Unit Per Square Per Household Per Household Percent of Foot (thousand Btu) (million Btu) Members (million Btu) Total Consumption

170

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...

171

Xcel Energy (Electric) - Residential Energy Efficiency Rebate Programs |  

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

Residential Energy Efficiency Rebate Residential Energy Efficiency Rebate Programs Xcel Energy (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Evaporative Cooling: $1000 High Efficiency A/C: $1000 Insulation: $300 Program Info Start Date 1/1/2011 Expiration Date 12/31/2012 State Colorado Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $50 A/C and Heat Pumps: $500-$1100 Evaporative Cooling (Standard System): $100-$250/unit Evaporative Cooling (Premium System): $500-$600/unit

172

MassSAVE (Electric) - Residential Energy Efficiency Programs | Department  

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

Energy Efficiency Programs Energy Efficiency Programs MassSAVE (Electric) - Residential Energy Efficiency Programs < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Other Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Weatherization: $2,000 Program Info Start Date 1/1/2013 Expiration Date 12/31/2013 State Massachusetts Program Type Utility Rebate Program Rebate Amount Weatherization: 75% Heat Pump Water Heater: $750 Income Eligible Customers: free home energy consultation Mulitifamily Incentives: comprehensive energy analysis, lighting upgrades, insulation, air sealing and other energy saving measures.

173

MassSAVE (Electric) - Residential Retrofit Programs | Department of Energy  

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

Retrofit Programs Retrofit Programs MassSAVE (Electric) - Residential Retrofit Programs < Back Eligibility Low-Income Residential Multi-Family Residential Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Construction Design & Remodeling Other Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Weatherization: $2000 Program Info Expiration Date 12/31/2012 State Massachusetts Program Type Utility Rebate Program Rebate Amount Weatherization: 75% Heat Pump Water Heater: $1,000 Income Eligible Customers: free home energy consultation Mulitifamily Incentives: comprehensive energy analysis, lighting upgrades, insulation, air sealing and other energy saving measures.

174

Chicopee Electric Light - Residential Energy Efficiency Rebate Program |  

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

Chicopee Electric Light - Residential Energy Efficiency Rebate Chicopee Electric Light - Residential Energy Efficiency Rebate Program Chicopee Electric Light - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Water Heating Maximum Rebate Insulation: $300 maximum rebate Program Info State Massachusetts Program Type Utility Rebate Program Rebate Amount Clothes Washer: $50 Refrigerator: $50 Freezer: $50 Dishwasher: $25 Heat Pump Water Heater: $300 Central A/C: Up to $500 Ductless Mini-Split AC: Up to $500 Air Source Heat Pump: Up to $500 Insulation: 30% of installed cost Provider EFI Municipal Rebates Chicopee Electric Light (CEL) offers a variety of incentives for its

175

Central Electric Cooperative- Non-Residential Lighting Rebate  

Broader source: Energy.gov [DOE]

The Central Electric Cooperative offers a commercial lighting system improvement incentive for any customer not on a residential utility rate. To use the program and learn how much the rebates can...

176

The residential demand for electricity in New England,  

E-Print Network [OSTI]

The residential demand for electricity, studied on the national level for many years, is here investigated on the regional level. A survey of the literature is first presented outlining past econometric work in the field ...

Levy, Paul F.

1973-01-01T23:59:59.000Z

177

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

178

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

rate paid at the utility’s “avoided cost. ” Results of theroughly to the utility’s avoided cost of energy. Details anda reasonable value for the avoided cost of residential PV

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

179

Empire Electric Association - Residential Energy Efficiency Credit Program  

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

Residential Residential State Government Savings Category Appliances & Electronics Heating & Cooling Commercial Heating & Cooling Heat Pumps Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount HVAC Equipment: $250 - $300; additional rebates available for higher efficiency levels Controlled Resistance Heating: $24 - $32/kW Terminal Unit Heat Pump: $170 Water Heater: $100; additional rebates available for warranties, timers, and controls Split System A/C: $300/unit Refrigerator/freezer: $90/unit Refrigerator/freezer Recycling: $40 Dishwasher: $60 Clothes Washer: $80 Provider Empire Electric Association, Inc. Empire Electric Association provides financial incentives to its residential consumers who upgrade to energy efficient appliances and HVAC

180

MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR  

E-Print Network [OSTI]

LBNL-40295 UC-1600 MISCELLANEOUS ELECTRICITY USE IN THE U.S. RESIDENTIAL SECTOR M. C. Sanchez, J. G-up model of the miscellaneous electricity end use. Using shipment data and a consistent stock accounting-2010). Our study has two components: a historical analysis of miscellaneous electricity use (1976- 1995

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

Covered Product Category: Residential Electric Resistance Water...  

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

with capacities of 20 to 120 gallons and maximum energy input of 12 kW. Residential heat pump and gas storage-type water heaters are covered by ENERGY STAR. Boilers, swimming...

182

Delta-Montrose Electric Association - Residential Energy Efficiency Rebate  

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

Residential Energy Efficiency Residential Energy Efficiency Rebate Program Delta-Montrose Electric Association - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Water Heating Program Info State Colorado Program Type Utility Rebate Program Rebate Amount Dishwasher: $30 Clothes Washer: $40 Refrigerator/Freezer: $40 Refrigerator/Freezer Recycling: $60 Water Heaters: $150; additional $25 for the installation of a timer Heat Pumps: $150/ton; plus additional $100 - $150 for Energy Star qualified systems Split System Air Conditioner: $150; plus additional $100 - $150 for Energy Star qualified systems Provider Delta-Montrose Electric Association Delta-Montrose Electric Association (DMEA) offers a variety of rebates for

183

Louisville Gas and Electric - Residential Energy Efficiency Rebate Program  

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

Louisville Gas and Electric - Residential Energy Efficiency Rebate Louisville Gas and Electric - Residential Energy Efficiency Rebate Program (Kentucky) Louisville Gas and Electric - Residential Energy Efficiency Rebate Program (Kentucky) < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Home Weatherization Construction Commercial Weatherization Design & Remodeling Heat Pumps Water Heating Windows, Doors, & Skylights Program Info State Kentucky Program Type Utility Rebate Program Rebate Amount Heat Pump Water Heater: $300 Refrigerator: $100 Freezer: $50 Clothes Washer: $75 Dishwasher: $50 Window Film: 50% of material cost, up to $200 Central AC: $100, plus $100 for each SEER above minimum federal high efficiency standard Air-Source Heat Pump: $100, plus $100 for each SEER above minimum federal

184

PECO Energy (Electric) - Non-Residential Energy Efficiency Rebate Program  

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

PECO Energy (Electric) - Non-Residential Energy Efficiency Rebate PECO Energy (Electric) - Non-Residential Energy Efficiency Rebate Program (Pennsylvania) PECO Energy (Electric) - Non-Residential Energy Efficiency Rebate Program (Pennsylvania) < Back Eligibility Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit State Government Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Program Info Expiration Date 5/31/2013 State Pennsylvania Program Type Utility Rebate Program Rebate Amount Unitary and Split Air Conditioning Systems and Air Source Heat Pumps: $25-$45/ton Chillers: $10-$40/ton Ground Source Heat Pumps: $40/ton Hotel Occupancy Sensors: $20-$40 Energy Management Control System: $0.10/sq. ft. or $0.21/sq. ft.

185

AEP Ohio (Electric) - Residential Energy Efficiency Rebate Program |  

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

AEP Ohio (Electric) - Residential Energy Efficiency Rebate Program AEP Ohio (Electric) - Residential Energy Efficiency Rebate Program AEP Ohio (Electric) - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Commercial Heating & Cooling Other Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Windows, Doors, & Skylights Program Info State Ohio Program Type Utility Rebate Program Rebate Amount ENERGY STAR New Homes Program: Contact AEP In-home Energy Audit: $100 Pin Based CFL Indoor Fixture: $20 Pin Based CFL-Outdoor Fixture: $35 CFL Torchieres: $20 Wall Insulation: $200 Air Sealing: $200 ENERGY STAR Window Replacement: $200 Attic Insulation: $200 Shower Start/Stop: $25

186

Energy Efficiency Fund (Electric and Gas) - Residential Energy Efficiency  

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

Energy Efficiency Fund (Electric and Gas) - Residential Energy Energy Efficiency Fund (Electric and Gas) - Residential Energy Efficiency Financing Energy Efficiency Fund (Electric and Gas) - Residential Energy Efficiency Financing < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Other Design & Remodeling Windows, Doors, & Skylights Ventilation Heat Pumps Insulation Appliances & Electronics Water Heating Maximum Rebate 20,000 Program Info Funding Source Energy Efficiency Fund State Connecticut Program Type State Loan Program Rebate Amount 2,500 - 20,000 Provider Connecticut Housing Investment Fund Connecticut homeowners and customers of Connecticut Light and Power Company (CL&P), and United Illuminating Company (UI) may apply for up to 100%

187

MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate  

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

MidAmerican Energy (Electric) - Residential Energy Efficiency MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate Programs MidAmerican Energy (Electric) - Residential Energy Efficiency Rebate Programs < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Other Program Info Expiration Date 12/31/2013 State Iowa Program Type Utility Rebate Program Rebate Amount Room Air Conditioners: $25 Central Air Conditioners: $100-$200 Heat Pumps: $100-$400 Ground-source Heat Pumps: $1000-$2000 Desuperheaters: $100 Heat Pump Water Heaters: $100 Water Heaters: $50 Washer/Dryer: $50/unit Hard-Wired Light Fixture: $20/fixture Refrigerator: $50 Freezer: $25 Dishwasher: $20 Appliance Recycling: $25-$50/unit

188

Duke Energy (Gas and Electric) - Residential and Builder Energy Efficiency  

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

Duke Energy (Gas and Electric) - Residential and Builder Energy Duke Energy (Gas and Electric) - Residential and Builder Energy Efficiency Rebate Program Duke Energy (Gas and Electric) - Residential and Builder Energy Efficiency Rebate Program < Back Eligibility Construction Installer/Contractor Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Home Weatherization Construction Commercial Weatherization Design & Remodeling Heating Heat Pumps Program Info State Ohio Program Type Utility Rebate Program Rebate Amount Existing Home Air-source Heat Pump: $200 (home owner); $100 (dealer) Existing Home Geothermal Heat Pump: $200 (homeowner); $100 (dealer) Existing Home Air Conditioner: $200 (home owner); $100 (dealer) Existing Home Gas Furnace: $200 (home owner); $100 (builder) Heat Pump/AC in New Home: $300/heat pump installed (builder)

189

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

190

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

191

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

20 20 Site Consumption Primary Consumption Total Residential Industry Electric Gen. Transportation Residential Industry Transportation (quads) 1980 5% 28% 8% 56% | 8% 31% 56% 34.2 1981 5% 26% 7% 59% | 7% 29% 59% 31.9 1982 5% 26% 5% 61% | 6% 28% 61% 30.2 1983 4% 25% 5% 62% | 6% 27% 62% 30.1 1984 5% 26% 4% 61% | 6% 27% 61% 31.1 1985 5% 25% 4% 63% | 6% 26% 63% 30.9 1986 5% 24% 5% 63% | 6% 26% 63% 32.2 1987 5% 25% 4% 63% | 6% 26% 63% 32.9 1988 5% 24% 5% 63% | 6% 26% 63% 34.2 1989 5% 24% 5% 63% | 7% 25% 63% 34.2 1990 4% 25% 4% 64% | 5% 26% 64% 33.6 1991 4% 24% 4% 65% | 5% 26% 65% 32.8 1992 4% 26% 3% 65% | 5% 27% 65% 33.5 1993 4% 25% 3% 65% | 5% 26% 65% 33.8 1994 4% 25% 3% 65% | 5% 26% 65% 34.7 1995 4% 25% 2% 67% | 5% 26% 67% 34.6 1996 4% 25% 2% 66% | 5% 26% 66% 35.8 1997 4% 26% 3% 66% | 5% 26% 66% 36.3 1998 3% 25% 4% 66% | 5% 26% 66% 36.9 1999 4% 25% 3% 66% | 5% 26% 66% 38.0 2000 4% 24% 3% 67% | 5% 25% 67% 38.4 2001 4% 24% 3% 67% | 5% 25% 67% 38.3 2002 4% 24% 3% 68% | 5% 25% 68% 38.4 2003

192

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

193

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

of offering NEM for biogas-electric systems and fuel cells.but AB 2228 (2002) allowed biogas-electric facilities up to

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

194

Progress towards Managing Residential Electricity Demand: Impacts of  

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

Progress towards Managing Residential Electricity Demand: Impacts of Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India Title Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India Publication Type Conference Paper Refereed Designation Unknown LBNL Report Number LBNL-2322E Year of Publication 2009 Authors McNeil, Michael A., and Maithili Iyer Date Published 06/2009 Keywords Air Conditioners, Appliance Efficiency, appliance energy efficiency, energy efficiency, greenhouse gas emissions, india, Labels, MEPS, refrigerators, Standards and labeling URL https://isswprod.lbl.gov/library/view-docs/public/output/rpt77250.PDF Refereed Designation Unknown Attachment Size

195

Wright-Hennepin Cooperative Electric Association - Non-Residential Energy  

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

Wright-Hennepin Cooperative Electric Association - Non-Residential Wright-Hennepin Cooperative Electric Association - Non-Residential Energy Efficient Rebate Program Wright-Hennepin Cooperative Electric Association - Non-Residential Energy Efficient Rebate Program < Back Eligibility Commercial Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Other Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate Custom: $100,000 Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Lighting: Varies widely Motors (Replacement): 15/HP Rooftop Units/Split Systems/Condensers: $18/ton, plus $5/ton per 0.1 EER above base Air Source Heat Pumps: $118, plus $5/ton per 0.1 EER above base RTU Economizers: $13/ton Packaged Terminal AC: $10/ton, plus $1.75 - $3.50/ton per EER above base

196

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

197

DOE/EIA-0207/3 Residential Energy Consumption Survey: Conservation  

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

3 3 Residential Energy Consumption Survey: Conservation February 1980 U.S. Department of Energy Energy Information Adminstration Assistant Administrater for Program Development Other NEICS Reports Preliminary Conservation Tables from the National Interim Energy Consumption Survey, August 1979, DOE/EIA-0193/P Characteristics of the Housing Stocks and Households: Preliminary Findings from the National Interim Energy Consumption Survey, October 1979, DOETllA-0199/P The above reports are available from the following address; U.S. Department of Energy Technical Information Center Attn:; EIA Coordinator P.O. Box 62 Oak Ridge, TN 37830 Residential Energy Consumption Survey; Characteristics of the Housing Stock and Households, DOE/EIA-0207/2, GPO Stock No,, 061-003-00093-2; $4.25

198

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

solar electric capacity on new homes, and to have solar electric systems on 50% of all new homes built in Californiasolar capacity installed; capacity more than quadrupled to 746 MW by the end of 2010 (CPUC 2011). California

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

199

Window-Related Energy Consumption in the US Residential and Commercial  

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

Window-Related Energy Consumption in the US Residential and Commercial Window-Related Energy Consumption in the US Residential and Commercial Building Stock Title Window-Related Energy Consumption in the US Residential and Commercial Building Stock Publication Type Report LBNL Report Number LBNL-60146 Year of Publication 2006 Authors Apte, Joshua S., and Dariush K. Arasteh Call Number LBNL-60146 Abstract We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate that future window technologies offer energy savings potentials of up to 3.9 Quads.

200

Buildings Energy Data Book: 1.2 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

Residential Sector Energy Consumption March 2012 1.2.9 Implicit Price Deflators (2005 1.00) Year Year Year 1980 0.48 1990 0.72 2000 0.89 1981 0.52 1991 0.75 2001 0.91 1982 0.55...

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

Residential  

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

Water Heaters Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales...

202

Dynamic pricing for residential electric customers: a ratepayer advocate's perspective  

SciTech Connect (OSTI)

New Jersey's Rate Counsel urges that the consideration of alternative pricing mechanisms aimed at encouraging a reduction or shift in residential electricity usage include recognition of the needs and wishes of consumers. Without consumer buy-in, any such pricing mechanisms will fail. To achieve the desired goals, customers must be able to understand and react to the pricing signals. (author)

Brand, Stefanie A.

2010-07-15T23:59:59.000Z

203

Covered Product Category: Residential Electric Resistance Water Heaters  

Broader source: Energy.gov [DOE]

FEMP sets Federal efficiency requirements and provides acquisition guidance across a variety of product categories, including residential electric resistance water heaters. Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

204

Golden Valley Electric Association - Residential Energy Efficiency Rebate  

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

You are here You are here Home » Golden Valley Electric Association - Residential Energy Efficiency Rebate Program for Builders Golden Valley Electric Association - Residential Energy Efficiency Rebate Program for Builders < Back Eligibility Construction Savings Category Appliances & Electronics Commercial Lighting Lighting Water Heating Program Info State Alaska Program Type Utility Rebate Program Rebate Amount Fluorescent Lamps: $10-$20 CFL Fixtures: $3 LED Lamp: $10 Photocell/Motion Detector: $10 High Intensity Discharge Fixture: $20 Insulating Blanket for Water Heater: $10 Water Heater Timer: $30 Timer Controlling Exterior Vehicle Plug-In Outlet: $20 Switch Controlling Exterior Vehicle Plug-In Outlet: $10 Provider Golden Valley Electric Association Golden Valley Electric Association's (GVEA) Builder $ense program targets

205

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

Act Electric vehicle Feed-in Tariff Gigawatt U.S. Departmentinitiatives are the Feed-in Tariff (FIT) and the Renewablesuch as a revamped feed-in tariff ( FIT) or a utility-driven

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

206

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

207

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

208

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

209

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

7 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

210

Residential Buildings Historical Publications reports, data and...  

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

2 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

211

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

1 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

212

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

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

Window-Related Energy Consumption in the US Window-Related Energy Consumption in the US Residential and Commercial Building Stock Joshua Apte and Dariush Arasteh, Lawrence Berkeley National Laboratory LBNL-60146 Abstract We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate

213

Residential energy consumption across different population groups: Comparative analysis for Latino and non-Latino households in U.S.A.  

SciTech Connect (OSTI)

Residential energy cost, an important part of the household budget, varies significantly across different population groups. In the United States, researchers have conducted many studies of household fuel consumption by fuel type -- electricity, natural gas, fuel oil, and liquefied petroleum gas (LPG) -- and by geographic areas. The results of past research have also demonstrated significant variation in residential energy use across various population groups, including white, black, and Latino. However, research shows that residential energy demand by fuel type for Latinos, the fastest-growing population group in the United States, has not been explained by economic and noneconomic factors in any available statistical model. This paper presents a discussion of energy demand and expenditure patterns for Latino and non-Latino households in the United States. The statistical model developed to explain fuel consumption and expenditures for Latino households is based on Stone and Geary`s linear expenditure system model. For comparison, the authors also developed models for energy consumption in non-Latino, black, and nonblack households. These models estimate consumption of and expenditures for electricity, natural gas, fuel oil, and LPG by various households at the national level. The study revealed significant variations in the patterns of fuel consumption for Latinos and non-Latinos. The model methodology and results of this research should be useful to energy policymakers in government and industry, researchers, and academicians who are concerned with economic and energy issues related to various population groups.

Poyer, D.A.; Teotia, A.P.S. [Argonne National Lab., IL (United States); Henderson, L. [Univ. of Baltimore, MD (United States)

1998-05-01T23:59:59.000Z

214

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

215

National Grid (Electric) - Non-Residential Energy Efficiency Program  

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

Non-Residential Energy Efficiency Non-Residential Energy Efficiency Program (Upstate New York) National Grid (Electric) - Non-Residential Energy Efficiency Program (Upstate New York) < Back Eligibility Commercial Industrial Institutional Local Government Nonprofit Schools State Government Savings Category Manufacturing Other Appliances & Electronics Commercial Lighting Lighting Program Info State New York Program Type Utility Rebate Program Rebate Amount Custom Large Business Energy Initiative Program: Technical Service, Financial Services, and 50% of the project cost Custom Engineering Study: Up to 50% of the project cost Custom Small Business: Up to 70% of project costs: remaining share financed by National Grid with a 0% interest loan: payback time of up to 24 months. Linear/Parabolic/Recessed Fluorescent Fixtures: $15-$50/fixture

216

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

1 1 Type (1) Single-Family: 55.4 106.6 39.4 80.5% Detached 55.0 108.4 39.8 73.9% Attached 60.5 89.3 36.1 6.6% Multi-Family: 78.3 64.1 29.7 14.9% 2 to 4 units 94.3 85.0 35.2 6.3% 5 or more units 69.8 54.4 26.7 8.6% Mobile Homes 74.6 70.4 28.5 4.6% All Housing Types 58.7 95.0 37.0 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. 2005 Residential Delivered Energy Consumption Intensities, by Housing Type

217

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

2 2 Year Built (1) Prior to 1950 74.5 114.9 46.8 24% 1950 to 1969 66.0 96.6 38.1 23% 1970 to 1979 59.4 83.4 33.5 15% 1980 to 1989 51.9 81.4 32.3 14% 1990 to 1999 48.2 94.4 33.7 16% 2000 to 2005 44.7 94.7 34.3 8% Average 58.7 95.0 40.0 Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet. EIA, 2005 Residential Energy Consumption Survey, Oct. 2008. 2005 Residential Delivered Energy Consumption Intensities, by Vintage Per Square Per Household Per Household

218

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

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

2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 2001 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables + EXPAND ALL Tables HC1: Housing Unit Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Owner-Occupied Housing Unit PDF Four Most Populated States PDF Urban/Rural Location PDF Northeast Census Region PDF Midwest Census Region PDF South Census Region PDF West Census Region PDF Tables HC2: Household Characteristics, Million U.S. Households PDF (all tables) Climate Zone PDF Year of Construction PDF Household Income PDF Type of Housing Unit PDF Type of Owner-Occupied Housing Unit PDF Type of Rented Housing Unit PDF

219

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

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

1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 1997 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Table Titles (Released: February 2004) Entire Section Percents Tables: HC1 Housing Unit Characteristics, Million U.S. Households PDF PDF NOTE: As of 10/31/01, numbers in the "Housing Units" TABLES section for stub item: "Number of Floors in Apartment Buildings" were REVISED. These numbers will differ from the numbers in the published report. Tables: HC2 Household Characteristics, Million U.S. Households PDF PDF Tables: HC3 Space Heating, Million U.S. Households PDF PDF Tables: HC4 Air-Conditioning, Million U.S. Households PDF PDF Tables: HC5 Appliances, Million U.S. Households PDF PDF

220

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

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

3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 3 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Methodology Housing Characteristics Tables Topical Sections Entire Section All Detailed Tables PDF Tables: HC1 Household Characteristics, Million U.S. Households Presents data relating to location, type, ownership, age, size, construction, and householder demographic and income characteristics. PDF Tables: HC2 Space Heating, Million U.S. Households Presents data describing the types of heating fuel and equipment used for main and secondary heating purposes. PDF Tables: HC3 Air-Conditioning, Million U.S. Households Presents data describing selected household characteristics including location, number of rooms and area cooled and air-conditioning usage. PDF

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

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

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

5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous 5 RECS Survey Data 2009 | 2005 | 2001 | 1997 | 1993 | Previous Housing Characteristics Consumption & Expenditures Microdata Housing Characteristics Tables + EXPAND ALL Floorspace - Housing Characteristics PDF (all tables) Total Floorspace All, Heated, and Cooled Floorspace (HC1.1.1) PDF XLS Average Floorspace All Housing Units (HC1.1.2) PDF XLS Single Family and Mobile Homes (HC1.1.3) PDF XLS Apartments (HC1.1.4) PDF XLS Usage Indicators Heated Floorspace (HC1.3) PDF XLS Cooled Floorspace (HC1.4) PDF XLS Floorspace - Living Space PDF (all tables) Total Floorspace All, Heated, and Cooled Floorspace (HC1.2.1) PDF XLS Average Floorspace All Housing Units (HC1.2.2) PDF XLS Single Family and Mobile Homes (HC1.2.3) PDF XLS Apartments (HC1.2.4) PDF XLS

222

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

7 7 Range 10 4 48 Clothes Dryer 359 (2) 4 49 Water Heating Water Heater-Family of 4 40 64 (3) 26 294 Water Heater-Family of 2 40 32 (3) 12 140 Note(s): Source(s): 1) $1.139/therm. 2) Cycles/year. 3) Gallons/day. A.D. Little, EIA-Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case, Sept. 2, 1998, p. 30 for range and clothes dryer; LBNL, Energy Data Sourcebook for the U.S. Residential Sector, LBNL-40297, Sept. 1997, p. 62-67 for water heating; GAMA, Consumers' Directory of Certified Efficiency Ratings for Heating and Water Heating Equipment, Apr. 2002, for water heater capacity; and American Gas Association, Gas Facts 1998, December 1999, www.aga.org for range and clothes dryer consumption. Operating Characteristics of Natural Gas Appliances in the Residential Sector

223

,"South Dakota Natural Gas Residential Consumption (MMcf)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3010sd2m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3010sd2m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:21:56 PM" "Back to Contents","Data 1: South Dakota Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010SD2" "Date","South Dakota Natural Gas Residential Consumption (MMcf)" 32523,1762 32554,1865 32582,1639 32613,1036 32643,562

224

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

SciTech Connect (OSTI)

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

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

2012-12-01T23:59:59.000Z

225

User-needs study for the 1993 residential energy consumption survey  

SciTech Connect (OSTI)

During 1992, the Energy Information Administration (EIA) conducted a user-needs study for the 1993 Residential Energy Consumption Survey (RECS). Every 3 years, the RECS collects information on energy consumption and expenditures for various classes of households and residential buildings. The RECS is the only source of such information within EIA, and one of only a few sources of such information anywhere. EIA sent letters to more than 750 persons, received responses from 56, and held 15 meetings with users. Written responses were also solicited by notices published in the April 14, 1992 Federal Register and in several energy-related publications. To ensure that the 1993 RECS meets current information needs, EIA made a specific effort to get input from policy makers and persons needing data for forecasting efforts. These particular needs relate mainly to development of the National Energy Modeling System and new energy legislation being considered at the time of the user needs survey.

Not Available

1993-09-24T23:59:59.000Z

226

,"South Carolina Natural Gas Residential Consumption (MMcf)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3010sc2m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3010sc2m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:21:55 PM" "Back to Contents","Data 1: South Carolina Natural Gas Residential Consumption (MMcf)" "Sourcekey","N3010SC2" "Date","South Carolina Natural Gas Residential Consumption (MMcf)" 32523,3768 32554,3029 32582,3327 32613,1875

227

Residential Demand Response under Uncertainty  

Science Journals Connector (OSTI)

This paper considers a residential market with real-time electricity pricing and flexible electricity consumption profiles for customers. Such a market raises an optimisation problem for home automation systems w...

Paul Scott; Sylvie Thiébaux…

2013-01-01T23:59:59.000Z

228

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)

229

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

230

Operational energy consumption and GHG emissions in residential sector in urban China : an empirical study in Jinan  

E-Print Network [OSTI]

Driven by rapid urbanization and increasing household incomes, residential energy consumption in urban China has been growing steadily in the past decade, posing critical energy and greenhouse gas emission challenges. ...

Zhang, Jiyang, M.C.P. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

231

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

232

Stochastic model for electrical loads in Mediterranean residential buildings: Validation and applications  

Science Journals Connector (OSTI)

Abstract A major issue in modelling the electrical load of residential building is reproducing the variability between dwellings due to the stochastic use of different electrical equipment. In that sense and with the objective to reproduce this variability, a stochastic model to obtain load profiles of household electricity is developed. The model is based on a probabilistic approach and is developed using data from the Mediterranean region of Spain. A detailed validation of the model has been done, analysing and comparing the results with Spanish and European data. The results of the validation show that the model is able to reproduce the most important features of the residential electrical consumption, especially the particularities of the Mediterranean countries. The final part of the paper is focused on the potential applications of the models, and some examples are proposed. The model is useful to simulate a cluster of buildings or individual households. The model allows obtaining synthetic profiles representing the most important characteristics of the mean dwelling, by means of a stochastic approach. The inputs of the proposed model are adapted to energy labelling information of the electric devices. An example case is presented considering a dwelling with high performance equipment.

Joana Ortiz; Francesco Guarino; Jaume Salom; Cristina Corchero; Maurizio Cellura

2014-01-01T23:59:59.000Z

233

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.

234

Sales and Use Tax Exemption for Residential Solar and Wind Electricity  

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

Sales and Use Tax Exemption for Residential Solar and Wind Sales and Use Tax Exemption for Residential Solar and Wind Electricity Sales (Maryland) Sales and Use Tax Exemption for Residential Solar and Wind Electricity Sales (Maryland) < Back Eligibility General Public/Consumer Residential Savings Category Solar Buying & Making Electricity Wind Maximum Rebate None Program Info Start Date 07/01/2011 State Maryland Program Type Sales Tax Incentive Rebate Amount 100% exemption from sales and use tax Provider Revenue Administration Center In May 2011 Maryland enacted legislation providing a sales and use tax exemption for sales of electricity from qualifying solar energy and residential wind energy equipment to residential customers. In order to qualify for the exemption, the sale of electricity must be for residential

235

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...

236

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

237

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

238

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

3 3 Building Type Pre-1995 1995-2005 Pre-1995 1995-2005 Pre-1995 1995-2005 Single-Family 38.4 44.9 102.7 106.2 38.5 35.5 Detached 37.9 44.7 104.5 107.8 38.8 35.4 Attached 43.8 55.5 86.9 85.1 34.2 37.6 Multi-Family 63.8 58.7 58.3 49.2 27.2 24.3 2 to 4 units 69.0 55.1 70.7 59.4 29.5 25.0 5 or more units 61.5 59.6 53.6 47.2 26.3 24.2 Mobile Homes 82.4 57.1 69.6 74.5 29.7 25.2 Note(s): Source(s): 2005 Residential Delivered Energy Consumption Intensities, by Principal Building Type and Vintage Per Square Foot (thousand Btu) (1) Per Household (million Btu) Per Household Member (million Btu) 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average

239

Battery Power for Your Residential Solar Electric System: Better Buildings Series Solar Electric Fact Sheet  

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

ELECTRIC ELECTRIC Battery Power for Your Residential Solar Electric System A Winning Combination-Design, Efficiency, and Solar Technology A battery bank stores electricity produced by a solar electric system. If your house is not connected to the utility grid, or if you antici- pate long power outages from the grid, you will need a battery bank. This fact sheet pro- vides an overview of battery basics, including information to help you select and maintain your battery bank. Types of Batteries There are many types of batteries avail- able, and each type is designed for specific applications. Lead-acid batteries have been used for residential solar electric systems for many years and are still the best choice for this application because of their low mainte- nance requirements and cost. You may

240

The behavioral response to voluntary provision of an environmental public good: Evidence from residential electricity demand  

E-Print Network [OSTI]

residential electricity demand Grant D. Jacobsen a,n , Matthew J. Kotchen b,c , Michael P. Vandenbergh d online 25 February 2012 JEL classification: H41 Q42 G54 Keywords: Green electricity Voluntary environmental protection Carbon offset Renewable energy Moral licensing Residential electricity demand a b s t r

Kotchen, Matthew J.

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

El Paso Electric Company- Residential Efficiency Program (New Mexico)  

Broader source: Energy.gov [DOE]

EPE offers incentives to residential customers in its New Mexico service territory that purchase and install high efficiency equipment for residential use. Eligible equipment includes air...

242

The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems  

E-Print Network [OSTI]

of electricity retail rates or on the private economics ofelectricity rates and hence the customer economics of residential, behind-the-meter PV. We calculate the private

Barbose, Galen

2013-01-01T23:59:59.000Z

243

Wright-Hennepin Cooperative Electric Association- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Wright-Hennepin Cooperative Electric Association provides financial incentives for its residential customers to purchase and install energy efficient HVAC equipment. Rebates are offered for...

244

Modeling diffusion of electrical appliances in the residential sector  

SciTech Connect (OSTI)

This paper presents a methodology for modeling residential appliance uptake as a function of root macroeconomic drivers. The analysis concentrates on four major energy end uses in the residential sector: refrigerators, washing machines, televisions and air conditioners. The model employs linear regression analysis to parameterize appliance ownership in terms of household income, urbanization and electrification rates according to a standard binary choice (logistic) function. The underlying household appliance ownership data are gathered from a variety of sources including energy consumption and more general standard of living surveys. These data span a wide range of countries, including many developing countries for which appliance ownership is currently low, but likely to grow significantly over the next decades as a result of economic development. The result is a 'global' parameterization of appliance ownership rates as a function of widely available macroeconomic variables for the four appliances studied, which provides a reliable basis for interpolation where data are not available, and forecasting of ownership rates on a global scale. The main value of this method is to form the foundation of bottom-up energy demand forecasts, project energy-related greenhouse gas emissions, and allow for the construction of detailed emissions mitigation scenarios.

McNeil, Michael A.; Letschert, Virginie E.

2009-11-22T23:59:59.000Z

245

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

246

Calculation method for electricity end-use for residential lighting  

Science Journals Connector (OSTI)

Abstract Knowledge of the electricity demand for different electrical appliances in households is very important in the work to reduce electricity use in households. Metering of end-uses is expensive and time consuming and therefore other methods for calculation of end-use electricity can be very useful. This paper presents a method to calculate the electricity used for lighting in households based on regression analysis of daily electricity consumption, out-door temperatures and the length of daylight at the same time and location. The method is illustrated with analyses of 45 Norwegian households. The electricity use for lighting in an average Norwegian household is calculated to 1050 kWh/year or 6% of total electricity use. The results are comparable to metering results of lighting in other studies in the Nordic countries. The methodology can also be used to compensate for the seasonal effect when metering electricity for lighting less than a year. When smart meters are more commonly available, the possible adaption of this method will increase, and the need for end-use demand calculations will still be present.

Eva Rosenberg

2014-01-01T23:59:59.000Z

247

An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

SciTech Connect (OSTI)

In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

Poyer, D.A.

1992-01-01T23:59:59.000Z

248

An analysis of residential energy consumption and expenditures by minority households by home type and housing vintage  

SciTech Connect (OSTI)

In this paper a descriptive analysis of the relationship between energy consumption, patterns of energy use, and housing stock variables is presented. The purpose of the analysis is to uncover evidence of variations in energy consumption and expenditures, and patterns of energy use between majority households (defines as households with neither a black nor Hispanic head of household), black households (defined as households with a black head of household), and Hispanic households (defined as households with a Hispanic head of household) between 1980 (time of the first DOE/EIA Residential Energy Consumption Survey, 1982a) and 1987 (time of the last DOE/EIA Residential Energy Consumption Survey, 1989a). The analysis is three-dimensional: energy consumption and expenditures are presented by time (1980 to 1987), housing vintage, and housing type. A comparative analysis of changes in energy variables for the three population groups -- majority, black, and Hispanic -- within and between specific housing stock categories is presented.

Poyer, D.A.

1992-06-01T23:59:59.000Z

249

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"

250

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

251

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

252

Designing a residential hybrid electrical energy storage system based on the energy buffering strategy  

Science Journals Connector (OSTI)

Due to severe variation in load demand over time, utility companies generally raise electrical energy price during periods of high load demand. A grid-connected hybrid electrical energy storage (HEES) system can help residential users lower their electric ... Keywords: electric bill savings, energy management, hybrid electrical energy storage system

Di Zhu; Siyu Yue; Yanzhi Wang; Younghyun Kim; Naehyuck Chang; Massoud Pedram

2013-09-01T23:59:59.000Z

253

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

254

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

255

Modeling Energy Consumption of Residential Furnaces and Boilers in U.S. Homes  

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

24 24 Modeling Energy Consumption of Residential Furnaces and Boilers in U.S. Homes James Lutz, Camilla Dunham-Whitehead, Alex Lekov, and James McMahon Energy Analysis Department Environmental Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory University of California Berkeley, CA 94720 February 2004 This work was supported by the Office of Building Technologies and Community Systems of the U.S. Department of Energy, under Contract No. DE-AC03-76SF00098. ABSTRACT In 2001, DOE initiated a rulemaking process to consider whether to amend the existing energy efficiency standards for furnaces and boilers. A key factor in DOE's consideration of new standards is their cost-effectiveness to consumers. Determining cost-effectiveness requires an

256

Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India  

SciTech Connect (OSTI)

The development of Energy Efficiency Standards and Labeling (EES&L) began in earnest in India in 2001 with the Energy Conservation Act and the establishment of the Indian Bureau of Energy Efficiency (BEE). The first main residential appliance to be targeted was refrigerators, soon to be followed by room air conditioners. Both of these appliances are of critical importance to India's residential electricity demand. About 15percent of Indian households own a refrigerator, and sales total about 4 million per year, but are growing. At the same time, the Indian refrigerator market has seen a strong trend towards larger and more consumptive frost-free units. Room air conditioners in India have traditionally been sold to commercial sector customers, but an increasing number are going to the residential sector. Room air conditioner sales growth in India peaked in the last few years at 20percent per year. In this paper, we perform an engineering-based analysis using data specific to Indian appliances. We evaluate costs and benefits to residential and commercial sector consumers from increased equipment costs and utility bill savings. The analysis finds that, while the BEE scheme presents net benefits to consumers, there remain opportunities for efficiency improvement that would optimize consumer benefits, according to Life Cycle Cost analysis. Due to the large and growing market for refrigerators and air conditioners in India, we forecast large impacts from the standards and labeling program as scheduled. By 2030, this program, if fully implemented would reduce Indian residential electricity consumption by 55 TWh. Overall savings through 2030 totals 385 TWh. Finally, while efficiency levels have been set for several years for refrigerators, labels and MEPS for these products remain voluntary. We therefore consider the negative impact of this delay of implementation to energy and financial savings achievable by 2030.

McNeil, Michael A.; Iyer, Maithili

2009-05-30T23:59:59.000Z

257

Residential  

Science Journals Connector (OSTI)

The residential sector can be divided into apartment blocks and low-rise housing. Apartment blocks have many similarities to the non-domestic sector, such as office buildings, which are covered by the range of...

2009-01-01T23:59:59.000Z

258

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

259

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)

260

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

0 0 Region (1) Northeast 73.5 122.2 47.7 24% New England 77.0 129.4 55.3 7% Middle Atlantic 72.2 119.7 45.3 17% Midwest 58.9 113.5 46.0 28% East North Central 61.1 117.7 47.3 20% West North Central 54.0 104.1 42.9 8% South 51.5 79.8 31.6 31% South Atlantic 47.4 76.1 30.4 16% East South Central 56.6 87.3 36.1 6% West South Central 56.6 82.4 31.4 9% West 56.6 77.4 28.1 18% Mountain 54.4 89.8 33.7 6% Pacific 58.0 71.8 25.7 11% U.S. Average 58.7 94.9 37.0 100% Note(s): Source(s): 1) Energy consumption per square foot was calculated using estimates of average heated floor space per household. According to the 2005 Residential Energy Consumption Survey (RECS), the average heated floor space per household in the U.S. was 1,618 square feet. Average total floor space, which includes garages, attics and unfinished basements, equaled 2,309 square feet.

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

Econometric model of the joint production and consumption of residential space heat  

SciTech Connect (OSTI)

This study models the production and comsumption of residential space heat, a nonmarket good. Production reflects capital investment decisions of households; consumption reflects final demand decisions given the existing capital stock. In the model, the production relationship is represented by a translog cost equation and an anergy factor share equation. Consumption is represented by a log-linear demand equation. This system of three equations - cost, fuel share, and final demand - is estimated simultaneously. Results are presented for two cross-sections of households surveyed in 1973 and 1981. Estimates of own-price and cross-price elasticities of factor demand are of the correct sign, and less than one in magnitude. The price elasticity of final demand is about -0.4; the income elasticity of final demand is less than 0.1. Short-run and long-run elasticities of demand for energy are about -0.3 and -0.6, respectively. These results suggest that price-induced decreases in the use of energy for space heat are attributable equally to changes in final demand and to energy conservation, the substitution of capital for energy in the production of space heat. The model is used to simulate the behavior of poor and nonpoor households during a period of rising energy prices. This simulation illustrates the greater impact of rising prices on poor households.

Klein, Y.L.

1985-12-01T23:59:59.000Z

262

MidAmerican Energy (Gas and Electric) - Residential EnergyAdvantage Loan  

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

Gas and Electric) - Residential EnergyAdvantage Gas and Electric) - Residential EnergyAdvantage Loan Program MidAmerican Energy (Gas and Electric) - Residential EnergyAdvantage Loan Program < Back Eligibility Installer/Contractor Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Other Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Water Heating Windows, Doors, & Skylights Maximum Rebate not specified Program Info Start Date 1/1/2011 State Iowa Program Type Utility Loan Program Rebate Amount Joint check payable to customer and dealer Provider MidAmerican Energy MidAmerican Energy's EnergyAdvantage Financing Program, in partnership with First American Bank, offers Iowa residential energy customers below-prime

263

SDG&E (Electric) - Residential Efficiency Rebate Program | Department of  

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

Residential Efficiency Rebate Program Residential Efficiency Rebate Program SDG&E (Electric) - Residential Efficiency Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Manufacturing Water Heating Heating & Cooling Commercial Heating & Cooling Cooling Program Info Funding Source System Benefits Charge State California Program Type Utility Rebate Program Rebate Amount Wall Insulation: $0.15/sq.ft. Storage Water Heater: $100 CEE Refrigerator: $50 Variable Speed Pool Pumps and Motors: $200 Clothes Washer: $35 Provider San Diego Gas and Electric Residential customers of San Diego Gas and Electric (SDG&E) are eligible for point-of-sale or mail-in rebates on energy-efficient clothes washers, refrigerators, home insulation, room air conditioners, water heaters, and

264

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

265

National Grid (Electric) – Residential EnergyWise Incentive Program  

Broader source: Energy.gov [DOE]

National Grid offers a variety of energy efficiency incentives for residential customers. Incentives are provided for purchasing and implementing insulation upgrades, HVAC equipment, appliances,...

266

Alliant Energy Interstate Power and Light (Electric)- Residential...  

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

a number of energy efficiency rebates for Minnesota residential customers which implement HVAC, lighting, appliance, window, insulation and water heating upgrades. Eligible...

267

Orange and Rockland Utilities (Electric)- Residential Appliance Recycling Program  

Broader source: Energy.gov [DOE]

Orange and Rockland Utilities provides rebates for residential customers for recycling older, inefficient refrigerators and freezers. All appliances must meet the program requirements listed on the...

268

Xcel Energy (Gas and Electric)- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

In addition to home energy audits, Xcel Energy offers rebates to Minnesota residential customers for the purchase of energy efficient HVAC systems, insulation, appliances and lighting equipment....

269

Orange and Rockland Utilities (Electric)- Residential Efficiency Program (New York)  

Broader source: Energy.gov [DOE]

Orange and Rockland Utilities provides rebates for residential customers for recycling older, inefficient refrigerators and freezers. All appliances must meet the program requirements listed on the...

270

How to Read Residential Electric and Natural Gas Meters | Department of  

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

Residential Electric and Natural Gas Meters Residential Electric and Natural Gas Meters How to Read Residential Electric and Natural Gas Meters June 24, 2012 - 3:00pm Addthis An electromechanical electric meter on the side of a house. | Photo courtesy of ©iStockphoto/epantha An electromechanical electric meter on the side of a house. | Photo courtesy of ©iStockphoto/epantha A digital electric meter on the side of a house. | Photo courtesy of ©iStockphoto/nbehmans A digital electric meter on the side of a house. | Photo courtesy of ©iStockphoto/nbehmans A natural gas meter on a house. | Photo courtesy of ©iStockphoto/fstockfoto A natural gas meter on a house. | Photo courtesy of ©iStockphoto/fstockfoto An electromechanical electric meter on the side of a house. | Photo courtesy of ©iStockphoto/epantha

271

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

272

Average Residential Price  

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

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

273

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

274

New Hampshire Electric Co-Op- Residential Solar Photovoltaic Incentive Program  

Broader source: Energy.gov [DOE]

New Hampshire Electric Co-op (NHEC) is offering rebates for residential, grid-tied photovoltaic (PV) systems up to one megawatt (MW) in capacity. The rebate is equal to 20% of the installed cost of...

275

New Hampshire Electric Co-Op- Residential Energy Efficiency Rebate Programs  

Broader source: Energy.gov [DOE]

New Hampshire Electric Co-Op provides a number of energy efficiency incentive programs for residential members. First, members can receive a free Home Energy Analysis through the [http://www.nhec...

276

City of Statesville Electric Utility Department- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

The City of Statesville Electric Utility Department offers rebates to its residential customers for installing new, energy efficient water heaters and heat pumps. To qualify for the heat pump...

277

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.

278

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Vehicle Usage and Energy Consumption Table 2 Housing Unitsresidential vehicular energy consumption is graphed as aon Vehicle Usage and Energy Consumption with vehicles, but

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

279

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

accounting for 79% of non-biomass energy consumption inreliance on biomass for rural energy consumption shows thereliance on biomass for rural energy consumption shows the

Zhou, Nan

2010-01-01T23:59:59.000Z

280

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

E-Print Network [OSTI]

the fraction of total energy consumption attributable toFraction of Total Energy Consumption Background Although thewindow fraction of total energy consumption. We believe that

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

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

Current Status and Future Scenarios of Residential Building Energy Consumption in China  

E-Print Network [OSTI]

liters Figure 7 Primary Energy Consumption (EJ) Refrigeratorby Efficiency Class Primary Energy Consumption (EJ) Figure 8by Fuel Figure 1 Primary Energy Consumption by End-use)

Zhou, Nan

2010-01-01T23:59:59.000Z

282

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

283

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book [EERE]

2 2 1999 Single-Family Home Daily Water Consumption by End Use (Gallons per Capita) (1) Fixture/End Use Toilet 18.5 18.3% Clothes Washer 15 14.9% Shower 11.6 11.5% Faucet 10.9 10.8% Other Domestic 1.6 1.6% Bath 1.2 1.2% Dishwasher 1 1.0% Leaks 9.5 9.4% Outdoor Use (2) 31.7 31.4% Total (2) 101 100% Note(s): Source(s): Average gallons Total Use per capita per day Percent 1) Based analysis of 1,188 single-family homes at 12 study locations. 2) Total Water use derived from USGS. Outdoor use is the difference between total and indoor uses. American Water Works Association Research Foundation, Residential End Uses of Water, 1999; U.S. Geological Survey, Estimated Use of Water in the U.S. in 2000, U.S. Geological Survey Circular 1268, 2004, Table 6, p. 17; and Vickers, Amy, Handbook of Water Use and Conservation, June 2002, p. 15.

284

Ashland Electric Utility- Residential Energy Efficiency Loan Program  

Broader source: Energy.gov [DOE]

City of Ashland Conservation Division has zero-interest loans to help residential customers finance energy efficiency improvements to participating homes. The maximum loan amount is $7,500. The...

285

Short-Term Energy Outlook Supplement: Summer 2013 Outlook for Residential Electric Bills  

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

Summer 2013 Outlook for Residential Summer 2013 Outlook for Residential Electric Bills June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | STEO Supplement: Summer 2013 Outlook for Residential Electric Bills i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other federal agencies. June 2013 U.S. Energy Information Administration | STEO Supplement: Summer 2013 Outlook for Residential Electric Bills 1

286

SCE&G (Electric) - Residential EnergyWise Program | Department of Energy  

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

SCE&G (Electric) - Residential EnergyWise Program SCE&G (Electric) - Residential EnergyWise Program SCE&G (Electric) - Residential EnergyWise Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Other Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Water Heating Maximum Rebate Home Performance with ENERGY STAR: $2500 Air Infiltration Reduction and Insulation: $850 Program Info State South Carolina Program Type Utility Rebate Program Rebate Amount Home Performance Assessment: $200 Air Infiltration Reduction and Insulation: 25% of cost Duct Sealing: $150 Duct Insulation or Replacement: $150 Central AC or Heat Pump Tune-up: $60 Programmable Thermostat: $50

287

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

9 9 Total Residential Industry Electric Gen. Transportation Residential Industry Transportation (quads) 1980 24% 41% 19% 3% | 30% 49% 3% 20.22 1981 23% 42% 19% 3% | 30% 49% 3% 19.74 1982 26% 39% 18% 3% | 32% 45% 3% 18.36 1983 26% 39% 17% 3% | 32% 46% 3% 17.20 1984 25% 40% 17% 3% | 31% 47% 3% 18.38 1985 25% 40% 18% 3% | 32% 46% 3% 17.70 1986 26% 40% 16% 3% | 32% 46% 3% 16.59 1987 25% 41% 17% 3% | 31% 47% 3% 17.63 1988 26% 42% 15% 3% | 31% 47% 3% 18.44 1989 25% 41% 16% 3% | 30% 47% 3% 19.56 1990 23% 43% 17% 3% | 29% 49% 4% 19.57 1991 23% 43% 17% 3% | 29% 49% 3% 20.03 1992 23% 43% 17% 3% | 29% 49% 3% 20.71 1993 24% 43% 17% 3% | 30% 48% 3% 21.24 1994 23% 42% 18% 3% | 29% 48% 3% 21.75 1995 22% 42% 19% 3% | 28% 49% 3% 22.71 1996 23% 43% 17% 3% | 29% 49% 3% 23.14 1997 22% 43% 18% 3% | 28% 49% 3% 23.34 1998 20% 43% 20% 3% | 27% 50% 3% 22.86 1999 21% 41% 21% 3% | 28% 48% 3% 22.88 2000 21% 40% 22% 3% | 29% 47% 3% 23.66 2001 21% 38% 24% 3% | 30% 45% 3% 22.69 2002 21% 38% 24% 3% | 30% 45%

288

Residential implementation of critical-peak pricing of electricity  

E-Print Network [OSTI]

to time-of-day electricity pricing: first empirical results.S. The trouble with electricity markets: understandingresidential peak-load electricity rate structures. Journal

Herter, Karen

2006-01-01T23:59:59.000Z

289

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

Residential Building Component Loads as of 1998 (1) 1) "Load" represents the thermal energy lossesgains that when combined will be offset by a building's heatingcooling system...

290

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

291

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

292

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

293

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

on Vehicle Usage and Energy Consumption References Bento,Vehicle Usage and Energy Consumption UCI-ITS-WP-05-1 Thomason Vehicle Usage and Energy Consumption Thomas F. Golob

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

294

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

E-Print Network [OSTI]

window related primary energy consumption of the US building= 1.056 EJ. “Primary” energy consumption includes a site-to-the amount of primary energy consumption required by space

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

295

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

E-Print Network [OSTI]

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

Apte, Joshua; Arasteh, Dariush

2008-01-01T23:59:59.000Z

296

Assessment of Interval Data and Their Potential Application to Residential Electricity End-Use Modeling, An  

Reports and Publications (EIA)

The Energy Information Administration (EIA) is investigating the potential benefits of incorporating interval electricity data into its residential energy end use models. This includes interval smart meter and submeter data from utility assets and systems. It is expected that these data will play a significant role in informing residential energy efficiency policies in the future. Therefore, a long-term strategy for improving the RECS end-use models will not be complete without an investigation of the current state of affairs of submeter data, including their potential for use in the context of residential building energy modeling.

2015-01-01T23:59:59.000Z

297

Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China  

E-Print Network [OSTI]

accounting for 79% of non-biomass energy consumption in2000 and 2020. Biomass, the leading energy source in thehigh reliance on biomass for rural energy consumption as

Zhou, Nan

2010-01-01T23:59:59.000Z

298

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

299

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

300

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 "residential 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

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

302

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

303

Spatial effects of carbon dioxide emissions from residential energy consumption: A county-level study using enhanced nocturnal lighting  

Science Journals Connector (OSTI)

Abstract As the world’s largest developing country and greenhouse gas emitter, China’s residential energy consumption (REC) is now responsible for over 11% of the country’s total energy consumption. In this paper, we present a novel method that utilizes spatially distributed information from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP–OLS) and human activity index (HAI) to test the hypothesis that counties with similar carbon dioxide emissions from REC are more spatially clustered than would be expected by chance. Our results revealed a high degree of county-level clustering in the distribution of emissions per capita. However, further analysis showed that high-emission counties tended to be surrounded by counties with relatively low per capita GDP levels. Therefore, our results contrasted with other evidence that REC emissions were closely related to GDP levels. Accordingly, we stress the need for the consideration of other factors in determining emission patterns, such as residential consumption patterns (e.g., consumer choices, behavior, knowledge, and information diffusion).

Heli Lu; Guifang Liu

2014-01-01T23:59:59.000Z

304

SDG&E (Electric) - Multi-Family Residential Efficiency Program | Department  

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

Multi-Family Residential Efficiency Program Multi-Family Residential Efficiency Program SDG&E (Electric) - Multi-Family Residential Efficiency Program < Back Eligibility Multi-Family Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Cooling Commercial Heating & Cooling Appliances & Electronics Heat Pumps Commercial Lighting Lighting Water Heating Program Info State California Program Type Utility Rebate Program Rebate Amount Clothes Washers: $75-$150 Room Air Conditioner: $50 Central Heat Pumps: $100 Insulation: $0.15/sq. ft. CFLs: $4-$10 Ceiling Fans with CFLs: $20 Interior Hardwired Fluorescent Fixtures: $32-$45 Exterior Hardwired Fluorescent Fixtures: $30 T12 De-lamping: $6/lamp Water Heaters: $30 Occupancy Sensors: $10 LED Exit Signs: $35 Photocells: $10/unit

305

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

5 5 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.50 0.53 0.30 0.04 0.43 0.44 5.23 44.7% | 1.35 6.15 27.8% Water Heating 1.29 0.10 0.07 0.01 0.45 1.92 16.4% | 1.38 2.86 12.9% Space Cooling 0.00 1.08 1.08 9.2% | 3.34 3.34 15.1% Lighting 0.69 0.69 5.9% | 2.13 2.13 9.7% Refrigeration (6) 0.45 0.45 3.9% | 1.41 1.41 6.4% Electronics (5) 0.54 0.54 4.7% | 1.68 1.68 7.6% Wet Cleaning (7) 0.06 0.33 0.38 3.3% | 1.01 1.06 4.8% Cooking 0.22 0.03 0.18 0.43 3.7% | 0.57 0.81 3.7% Computers 0.17 0.17 1.5% | 0.53 0.53 2.4% Other (8) 0.00 0.16 0.01 0.20 0.37 3.2% | 0.63 0.80 3.6% Adjust to SEDS (9) 0.42 0.42 3.6% | 1.29 1.29 5.8% Total 5.06 0.63 0.56 0.04 0.45 4.95 11.69 100% | 15.34 22.07 100% Note(s): Source(s): 2010 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.42 quad), solar water heating (0.01

306

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

8 8 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.20 0.31 0.22 0.03 0.46 0.49 4.72 38.9% | 1.45 5.67 23.9% Water Heating 1.27 0.04 0.03 0.02 0.54 1.90 15.6% | 1.60 2.96 12.5% Space Cooling 0.00 1.25 1.25 10.3% | 3.68 3.68 15.5% Lighting 0.48 0.48 3.9% | 1.41 1.41 5.9% Refrigeration (5) 0.52 0.52 4.3% | 1.54 1.54 6.5% Electronics (6) 0.44 0.44 3.6% | 1.29 1.29 5.4% Wet Cleaning (7) 0.07 0.32 0.39 3.2% | 0.95 1.01 4.3% Cooking 0.23 0.02 0.15 0.40 3.3% | 0.44 0.69 2.9% Computers 0.27 0.27 2.2% | 0.79 0.79 3.3% Other (8) 0.00 0.22 0.07 1.48 1.77 14.6% | 4.35 4.64 19.6% Total 4.76 0.35 0.51 0.03 0.55 5.94 12.14 100% | 17.50 23.69 100% Note(s): Source(s): 2035 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.44 quad), solar water heating (0.02

307

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

7 7 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.28 0.38 0.24 0.03 0.46 0.46 4.85 41.5% | 1.40 5.78 25.8% Water Heating 1.32 0.05 0.04 0.02 0.53 1.96 16.8% | 1.60 3.03 13.5% Space Cooling 0.00 1.12 1.12 9.6% | 3.38 3.38 15.1% Lighting 0.47 0.47 4.0% | 1.42 1.42 6.3% Refrigeration (5) 0.48 0.48 4.1% | 1.45 1.45 6.5% Electronics (6) 0.37 0.37 3.2% | 1.12 1.12 5.0% Wet Cleaning (7) 0.06 0.30 0.37 3.1% | 0.91 0.98 4.4% Cooking 0.22 0.03 0.13 0.38 3.2% | 0.40 0.64 2.9% Computers 0.24 0.24 2.0% | 0.72 0.72 3.2% Other (8) 0.00 0.20 0.07 1.20 1.46 12.5% | 3.61 3.87 17.3% Total 4.88 0.43 0.50 0.03 1.00 5.30 11.69 100% | 16.00 22.39 100% Note(s): Source(s): 2025 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.43 quad), solar water heating (0.02

308

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

6 6 Natural Fuel Other Renw. Site Site Primary Gas Oil LPG Fuel(1) En.(2) Electric Total Percent Electric (3) Total Percent Space Heating (4) 3.40 0.48 0.26 0.03 0.44 0.42 5.03 44.2% | 1.27 5.88 27.9% Water Heating 1.31 0.07 0.05 0.02 0.48 1.92 16.9% | 1.44 2.88 13.7% Space Cooling 0.00 1.02 1.02 8.9% | 3.07 3.07 14.6% Lighting 0.53 0.53 4.6% | 1.60 1.60 7.6% Refrigeration (5) 0.45 0.45 4.0% | 1.37 1.37 6.5% Electronics (6) 0.33 0.33 2.9% | 0.99 0.99 4.7% Wet Cleaning (7) 0.06 0.33 0.39 3.4% | 0.98 1.04 5.0% Cooking 0.22 0.03 0.11 0.36 3.1% | 0.34 0.59 2.8% Computers 0.19 0.19 1.7% | 0.57 0.57 2.7% Other (8) 0.00 0.17 0.05 0.94 1.17 10.2% | 2.85 3.07 14.6% Total 4.99 0.55 0.51 0.03 0.51 4.79 11.38 100% | 14.47 21.06 100% Note(s): Source(s): 2015 Residential Energy End-Use Splits, by Fuel Type (Quadrillion Btu) Primary 1) Kerosene and coal are assumed attributable to space heating. 2) Comprised of wood space heating (0.43 quad), solar water heating (0.02

309

2001 Residential Energy Consumption Survey Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire  

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

Form EIA-457C (2001)--Rental Agents, Landlords, and Apartment Managers Questionnaire OMB No. 1905-0092, Expiring March 31, 200X i U.S. Department of Energy Energy Information Administration 2001 Residential Energy Consumption Survey Rental Agents, Landlords, and Apartment Managers Questionnaire INTRODUCTION TO INTERVIEW Hello, I am __________________________ from Roper Starch Worldwide Inc., a social science research firm. We are conducting a study for the U.S. Department of Energy about energy consumption in homes. Although your participation is voluntary, we hope you will participate in this important study of energy usage. Your identity and all the responses you give me will be kept strictly confidential. The survey will take about 15 minutes.

310

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

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

Residential Buildings  

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

Residential Residential Residential Buildings Residential buildings-such as single family homes, townhomes, condominiums, and apartment buildings-are all covered by the Residential Energy Consumption Survey (RECS). See the RECS home page for further information. However, buildings that offer multiple accomodations such as hotels, motels, inns, dormitories, fraternities, sororities, convents, monasteries, and nursing homes, residential care facilities are considered commercial buildings and are categorized in the CBECS as lodging. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/residential.html

313

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

E-Print Network [OSTI]

One of These Homes is Not Like the Other: Residentialways, the majority of homes use energy in unpredictable waysenergy consumption per home, even when normalizing for size

Kelsven, Phillip

2013-01-01T23:59:59.000Z

314

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

315

Bandera Electric Cooperative- Residential Heat Pump Rebate Program  

Broader source: Energy.gov [DOE]

The Bandera Electric Cooperative offers a $200 rebate for the installation of a 15 SEER or higher heat pumps in existing homes. This program is designed to promote energy efficiency in existing...

316

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.

317

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

318

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book [EERE]

1 1 Residential Water Use by Source (Million Gallons per Day) Year 1980 3,400 1985 3,320 1990 3,390 1995 3,390 2000 (3) (3) 3,590 2005 3,830 Note(s): Source(s): 29,430 25,600 1) Public supply water use: water withdrawn by public and private water suppliers that furnish water to at least 25 people or have a minimum of 15 connections. 2) Self-supply water use: Water withdrawn from a groundwater or surface-water source by a user rather than being obtained from a public supply. 3) USGS did not provide estimates of residential use from public supplies in 2000. This value was estimated based on the residential portion of public supply in 1995 and applied to the total public supply water use in 2000. U.S. Geological Survey, Estimated Use of Water in the U.S. in 1985, U.S. Geological Survey Circular 1004, 1988; U.S. Geological Survey, Estimated Use of

319

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

320

Impact on Implementing Demand Side Management in Residential Sector  

Science Journals Connector (OSTI)

Residential electricity consumption in Malaysia increased at a rate of 14% per year between 1993 to 1997. In 1998, over 60% of population lived in urban areas. The growth of urban population at a rate of 4% per a...

H. A. Rahman; M. S. Majid; M. Y. Hassan…

2001-01-01T23:59:59.000Z

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

Dynamic Simulation and Analysis of Factors Impacting the Energy Consumption of Residential Buildings  

E-Print Network [OSTI]

Buildings have a close relationship with climate. There are a lot of important factors that influence building energy consumption such as building shape coefficient, insulation work of building envelope, covered area, and the area ratio of window...

Lian, Y.; Hao, Y.

2006-01-01T23:59:59.000Z

322

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

323

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

324

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

325

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...

326

Empire Electric Association - Residential Energy Efficiency Credit Program  

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

State Government State Government Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Maximum Rebate Lighting: 50% of material cost or $20,000 Street Lighting: $20,000 Refrigerated Case Lighting: $3,000 Electric Motors: $9,000 Motor Wiring Assistance: $2,500 Program Info State Colorado Program Type Utility Rebate Program Rebate Amount HVAC Equipment: $250 - $300/ton, additional rebates available for higher efficiency levels Lighting: $250 per kW reduced LED Street Lighting: $44 - $475 Induction Street Lighting: $33 - $355 Refrigerated Case Lighting: $60 per door (reach-in cases) or per six lineal feet (multi-deck cases) Electric Motors: $16 - $24/HP Motor Wiring Assistance: $3/HP Irrigation Motor Load Control: $50/motor

327

Residential Demand Response under Uncertainty Paul Scott and Sylvie Thiebaux and  

E-Print Network [OSTI]

Residential Demand Response under Uncertainty Paul Scott and Sylvie Thi´ebaux and Menkes van den stochastic optimisation in residential demand response. 1 Introduction Electricity consumption in residential participate in smart grid activities such as demand response where loads are shifted to times favourable

Thiébaux, Sylvie

328

Window-Related Energy Consumption in the US Residential andCommercial Building Stock  

SciTech Connect (OSTI)

We present a simple spreadsheet-based tool for estimating window-related energy consumption in the United States. Using available data on the properties of the installed US window stock, we estimate that windows are responsible for 2.15 quadrillion Btu (Quads) of heating energy consumption and 1.48 Quads of cooling energy consumption annually. We develop estimates of average U-factor and SHGC for current window sales. We estimate that a complete replacement of the installed window stock with these products would result in energy savings of approximately 1.2 quads. We demonstrate that future window technologies offer energy savings potentials of up to 3.9 Quads.

Apte, Joshua; Arasteh, Dariush

2006-06-16T23:59:59.000Z

329

Average Residential Price  

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

330

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

331

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

332

Regression analysis of residential air-conditioning energy consumption at Dhahran, Saudi Arabia  

SciTech Connect (OSTI)

The energy consumption of a house air conditioner located at Dhahran, Saudi Arabia, is modeled as a function of weather parameters and total (global) solar radiation on a horizontal surface. The selection of effective parameters that significantly influence energy consumption is carried out using general stepping regression methods. The problem of collinearity between the regressors is also investigated. The final model involves parameters of total solar radiation on a horizontal surface, wind speed, and temperature difference between the indoor and outdoor condition. However, the model coefficients are functions of relative humidity and/or temperature difference between the indoor and outdoor condition. Model adequacy is examined by the residual analysis technique. Model validation is carried out by the data-splitting technique. The sensitivity of the model indicates that relative humidity and temperature difference strongly influence the cooling energy consumption. It was found that an increase in relative humidity from 20% to 100% can cause a 100% increase in cooling energy consumption during the high cooling season.

Abdel-Nabi, D.Y.; Zubair, S.M.; Abdelrahman, M.A.; Bahel, V. (Energy Systems Group, Div. of Energy Resources, Research Inst., King Fahd Univ. of Petroleum and Minerals, Dhahran (SA))

1990-01-01T23:59:59.000Z

333

Buildings Energy Data Book: 8.2 Residential Sector Water Consumption  

Buildings Energy Data Book [EERE]

6 6 Residential Water Billing Rate Structures for Community Water Systems Rate Structure Uniform Rates Declining Block Rate Increasing Block Rate Peak Period or Seasonal Rate Separate Flat Fee Annual Connection Fee Combined Flat Fee Other Rate Structures Note(s): Source(s): 3.0% 9.0% 1) Systems serving more than 10,000 users provide service to 82% of the population served by community water systems. Columns do not sum to 100% because some systems use more than one rate structure. 2) Uniform rates charge a set price for each unit of water. Block rates charge a different price for each additional increment of usage. The prices for each increment is higher for increasing block rates and lower for decreasing block rates. Peak rates and seasonal rates charge higher prices when demand is highest. Flat fees charge a set price for

334

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

E-Print Network [OSTI]

entail higher electricity costs than in the reference case,which yields lower electricity purchase costs for utilitiesand renewable electricity generation costs. This proportion

Darghouth, Naim

2014-01-01T23:59:59.000Z

335

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

336

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

337

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

338

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

by Fuel and Region (Million BtuHousehold) Region Electricity Natural Gas Fuel Oil Total Northeast 21.2 34.9 36.2 54.7 Midwest 16.6 36.6 N.A. 51.8 South 39.4 20.0 N.A....

339

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

Buildings, by Fuel and Region (Thousand BtuSF) Region Electricity Natural Gas Fuel Oil Total Northeast 27.7 45.9 39.9 71.5 Midwest 22.5 49.9 N.A. 70.3 South 53.5 27.9 N.A....

340

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy  

Science Journals Connector (OSTI)

Abstract Buildings are the dominant source of energy consumption and environmental emissions in urban areas. Therefore, the ability to forecast and characterize building energy consumption is vital to implementing urban energy management and efficiency initiatives required to curb emissions. Advances in smart metering technology have enabled researchers to develop “sensor based” approaches to forecast building energy consumption that necessitate less input data than traditional methods. Sensor-based forecasting utilizes machine learning techniques to infer the complex relationships between consumption and influencing variables (e.g., weather, time of day, previous consumption). While sensor-based forecasting has been studied extensively for commercial buildings, there is a paucity of research applying this data-driven approach to the multi-family residential sector. In this paper, we build a sensor-based forecasting model using Support Vector Regression (SVR), a commonly used machine learning technique, and apply it to an empirical data-set from a multi-family residential building in New York City. We expand our study to examine the impact of temporal (i.e., daily, hourly, 10 min intervals) and spatial (i.e., whole building, by floor, by unit) granularity have on the predictive power of our single-step model. Results indicate that sensor based forecasting models can be extended to multi-family residential buildings and that the optimal monitoring granularity occurs at the by floor level in hourly intervals. In addition to implications for the development of residential energy forecasting models, our results have practical significance for the deployment and installation of advanced smart metering devices. Ultimately, accurate and cost effective wide-scale energy prediction is a vital step towards next-generation energy efficiency initiatives, which will require not only consideration of the methods, but the scales for which data can be distilled into meaningful information.

Rishee K. Jain; Kevin M. Smith; Patricia J. Culligan; John E. Taylor

2014-01-01T23:59:59.000Z

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

Geographic Variation in Potential of Rooftop Residential Photovoltaic Electric Power Production in the United States  

Broader source: Energy.gov [DOE]

This paper describes a geographic evaluation of Zero Energy Home (ZEH) potential, specifically an assessment of residential roof-top solar electric photovoltaic (PV) performance around the United States and how energy produced would match up with very-efficient and super-efficient home designs. We performed annual simulations for 236 TMY2 data locations throughout the United States on two highly-efficient one-story 3-bedroom homes with a generic grid-tied solar electric 2kW PV system. These annual simulations show how potential annual solar electric power generation (kWh) and potential energy savings from PV power vary geographically around the U.S. giving the user in a specific region an indication of their expected PV system performance.

342

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

343

On the economic potential for electric load management in the German residential heating sector – An optimising energy system model approach  

Science Journals Connector (OSTI)

Abstract Against the background of the ambitious German targets for renewable energy and energy efficiency, this paper investigates the economic potential for thermal load management with virtual power plants consisting of micro-cogeneration plants, heat pumps and thermal storage within the residential sector. An optimising energy system model of the electricity and residential heat supply in Germany is developed in the TIMES (The Integrated MARKAL EFOM System) modelling framework and used to determine capacity developments and dispatch of electricity and residential heat generation technologies until 2050. The analysed scenarios differ with respect to the rate of technological development of heat and power devices, fuel and CO2 prices as well as renewable electricity expansion. Results show that high fuel prices and a high renewable electricity expansion favour heat pumps and insulation measures over micro-cogeneration, whereas lower fuel prices and lower renewable electricity expansion relatively favour the expansion of micro-cogeneration. In the former case heat pump capacities increase to around 67 GWel, whereas in the latter case the total capacity of micro-cogeneration reaches 8 GWel. With the aid of thermal storage, this provides considerable flexibility for electrical load shifting through heat pumps and electricity generation from micro-cogeneration in residential applications, needed for the integration of fluctuating renewable electricity technologies.

Daniel Fehrenbach; Erik Merkel; Russell McKenna; Ute Karl; Wolf Fichtner

2014-01-01T23:59:59.000Z

344

Energy savings attributable to switching from master metering to individual metering of electricity  

SciTech Connect (OSTI)

This technical memo reviews and analyzes the published literature on electricity consumption by tenants in residential buildings with individual meters, compared with electricity consumption in residential buildings with master meters. An important finding is that energy savings of individual over master metering are strongly correlated with the price of electricity.

Nelson, S.H.

1981-01-01T23:59:59.000Z

345

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

4 4 Primary Energy Consumption Total Per Household 1980 79.6 N.A. 123.5 15.72 197.4 1981 82.8 N.A. 114.2 15.23 184.0 1982 83.7 N.A. 114.6 15.48 184.9 1983 84.6 N.A. 110.6 15.38 181.9 1984 86.3 N.A. 113.9 15.90 184.2 1985 87.9 N.A. 111.7 16.02 182.3 1986 89.1 N.A. 108.4 15.94 178.8 1987 90.5 N.A. 108.2 16.21 179.1 1988 92.0 N.A. 112.7 17.12 186.0 1989 93.5 N.A. 113.7 17.76 190.0 1990 94.2 N.A. 102.7 16.92 179.5 1991 95.3 N.A. 104.6 17.38 182.4 1992 96.4 N.A. 104.7 17.31 179.6 1993 97.7 N.A. 107.5 18.19 186.1 1994 98.7 N.A. 105.2 18.08 183.2 1995 100.0 N.A. 104.6 18.49 185.0 1996 101.0 N.A. 110.2 19.48 192.9 1997 102.2 N.A. 104.4 18.94 185.3 1998 103.5 N.A. 98.9 18.93 182.8 1999 104.9 N.A. 101.5 19.53 186.1 2000 105.7 N.A. 105.6 20.37 192.7 2001 107.0 1.7% 102.1 20.01 187.0 2002 105.0 3.3% 106.6 20.75 197.7 2003 105.6 5.2% 109.2 21.07 199.6 2004 106.6 7.1% 106.6 21.06 197.6 2005 108.8 9.0% 105.7 21.59

346

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

347

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

348

Residential | OpenEI  

Open Energy Info (EERE)

Residential Residential Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

349

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

Electricity Growth Rate Natural Gas Petroleum (1) Coal Renewable(2) Sales Losses Total TOTAL (2) 2010-Year 1980 4.79 30% 1.72 11% 0.03 0% 0.85 5% 2.45 5.89 8.33 53% 15.72 100% - 1981 4.57 30% 1.52 10% 0.03 0% 0.87 6% 2.46 5.77 8.24 54% 15.23 100% - 1982 4.68 30% 1.42 9% 0.03 0% 0.97 6% 2.49 5.89 8.38 54% 15.48 100% - 1983 4.45 29% 1.33 9% 0.03 0% 0.97 6% 2.56 6.03 8.59 56% 15.38 100% - 1984 4.64 29% 1.51 10% 0.04 0% 0.98 6% 2.66 6.07 8.73 55% 15.90 100% - 1985 4.51 28% 1.55 10% 0.04 0% 1.01 6% 2.71 6.21 8.92 56% 16.02 100% - 1986 4.38 28% 1.52 10% 0.04 0% 0.92 6% 2.79 6.27 9.07 57% 15.94 100% - 1987 4.40 27% 1.60 10% 0.04 0% 0.85 5% 2.90 6.42 9.32 58% 16.21 100% - 1988 4.72 28% 1.66 10% 0.04 0% 0.91 5% 3.05 6.75 9.79 57% 17.12 100% - 1989 4.88 28% 1.64 9% 0.03 0% 0.97 5% 3.09 7.13 10.22 58% 17.76 100% - 1990 4.47 26% 1.37 8% 0.03 0% 0.64 4% 3.15 7.24 10.39 61% 16.91 100% - 1991 4.64 27% 1.36 8% 0.03 0% 0.67 4% 3.26 7.42 10.68 61% 17.37 100%

350

Cost-availability curves for hierarchical implementation of residential energy-efficiency measures  

Science Journals Connector (OSTI)

Historical residential electricity data and natural gas consumption data were collected for, respectively, 1,200 and 178 residences in a small town in the USA. These data were merged with local building and weath...

R. Villoria-Siegert; P. Brodrick; K. Hallinan; R. J. Brecha

2014-08-01T23:59:59.000Z

351

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

352

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

353

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

354

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

355

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

E-Print Network [OSTI]

schemes on power prices: The case of wind electricity inand Wind Penetration. IEEE Transactions on Power Systems 27,of wind (50%), PV (35%), and concentrating solar power (CSP,

Darghouth, Naim

2014-01-01T23:59:59.000Z

356

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

357

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.

NĂ©jib ChouaĂŻbi; Tahar Abdessalem

2011-01-01T23:59:59.000Z

358

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

E-Print Network [OSTI]

including geothermal, small hydro, and biogas, as well as noby biomass, 1.5% by small hydro, and 0.3% by PV. The pricebiomass, geothermal, and small hydro electricity generation

Darghouth, Naim

2014-01-01T23:59:59.000Z

359

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

360

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

E-Print Network [OSTI]

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

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

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

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

362

Performance analysis of an integrated CHP system with thermal and Electric Energy Storage for residential application  

Science Journals Connector (OSTI)

The aim of this paper is the evaluation of the profitability of micro-CHP systems for residential application. An integrated CHP system composed of a prime mover, an Electric Energy Storage system, a thermal storage system and an auxiliary boiler has been considered. The study has been carried out taking into account a particular electrochemical storage system which requires also thermal energy, during its operation, for a better exploitation of the residual heat discharged by the prime mover. The prime mover could be a conventional Internal Combustion Engine or also an innovative system, such as fuel cell or organic Rankine cycle. An investigation of this integrated CHP system has been carried out, by means of an in-house developed calculation code, performing a thermo-economic analysis. This paper provides useful results, in order to define the optimum sizing of components of the integrated CHP system under investigation; the developed code allows also to evaluate the profitability and the primary energy saving with respect to the separate production of electricity and heat.

M. Bianchi; A. De Pascale; F. Melino

2013-01-01T23:59:59.000Z

363

Further exploring the potential of residential demand response programs in electricity distribution  

Science Journals Connector (OSTI)

Abstract Smart grids play a key role in realizing climate ambitions. Boosting consumption flexibility is an essential measure in bringing the potential gains of smart grids to fruition. The collective scientific understanding of demand response programs argues that time-of-use tariffs have proven its merits. The findings upon which this conclusion rests are, however, primarily derived from studies covering energy-based time-of-use rates over fairly short periods of time. Hence, this empirical study set out with the intention of estimating the extent of response to a demand-based time-of-use electricity distribution tariff among Swedish single-family homes in the long term. The results show that six years after the implementation households still respond to the price signals of the tariff by cutting demand in peak hours and shifting electricity consumption from peak to off-peak hours. Studies conducted in the Nordic countries commonly include only homeowners and so another aim of the study was to explore the potential of demand response programs among households living in apartment buildings. The demand-based tariff proved to bring about similar, but not as marked, effects in rental apartments, whereas there are virtually no corresponding evidences of demand response in condominium apartments.

Cajsa Bartusch; Karin Alvehag

2014-01-01T23:59:59.000Z

364

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

365

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

366

Residential Two-Stage Gas Furnaces - Do They Save Energy?  

E-Print Network [OSTI]

total fuel and electricity consumption under laboratoryto decrease the electricity consumption of furnaces, mainlytotal fuel and electricity consumption under laboratory

Lekov, Alex; Franco, Victor; Lutz, James

2006-01-01T23:59:59.000Z

367

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

368

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...

369

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

370

The Effects of Residential Energy Efficiency on Electric Demand Response Programs  

Science Journals Connector (OSTI)

Design and efficiency of houses can affect the amount of peak load reduction available from a residential demand response program. Twenty-four houses were simulated with varying thermal integrity and air conditioner size during the summer cooling season ... Keywords: demand response, efficiency, residential, hvac, conservation

Ward Jewell

2014-01-01T23:59:59.000Z

371

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

372

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

373

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.

374

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

375

Analysis of Michigan's demand-side electricity resources in the residential sector: Volume 3, End-use studies: Revised final report  

SciTech Connect (OSTI)

This volume of the ''Analysis of Michigan's Demand-Side Electricity Resources in the Residential Sector'' contains end-use studies on various household appliances including: refrigerators, freezers, lighting systems, water heaters, air conditioners, space heaters, and heat pumps. (JEF)

Krause, F.; Brown, J.; Connell, D.; DuPont, P.; Greely, K.; Meal, M.; Meier, A.; Mills, E.; Nordman, B.

1988-04-01T23:59:59.000Z

376

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

377

OpenEI - Residential  

Open Energy Info (EERE)

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

378

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

379

Economics of residential gas furnaces and water heaters in US new construction market  

E-Print Network [OSTI]

2001 Residential Energy Consumption Survey (RECS 2001; USenergy consumption of residential furnaces and boilers in U.S.US Department of Energy (2001). Residential energy consump- tion survey: household energy consumption

Lekov, Alex B.; Franco, Victor H.; Wong-Parodi, Gabrielle; McMahon, James E.; Chan, Peter

2010-01-01T23:59:59.000Z

380

Central Hudson Gas and Electric (Gas)- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

The Home Energy SavingsCentral Program offers customers rebates of up to $1,000 on energy efficient equipment and measures for residential gas customers who upgrade heating, cooling or ventilation...

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

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

382

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

383

Energy Data Sourcebook for the U.S. Residential Sector  

E-Print Network [OSTI]

that forecast US residential energy consumption by end-use.new unit energy consumption in the U.S. DOE appliancethe Residential Energy Consumption Survey, or RECS (US DOE

Wenzel, T.P.

2010-01-01T23:59:59.000Z

384

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

385

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

386

Residential Forced Air System Cabinet Leakage and Blower Performance  

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

Residential Forced Air System Cabinet Leakage and Blower Performance Residential Forced Air System Cabinet Leakage and Blower Performance Title Residential Forced Air System Cabinet Leakage and Blower Performance Publication Type Report LBNL Report Number LBNL-3383E Year of Publication 2010 Authors Walker, Iain S., Darryl J. Dickerhoff, and William W. Delp Publisher Lawrence Berkeley National Laboratory City Berkeley Keywords air flow measurement, air leakage, blower power measurement, blowers, energy performance of buildings group, forced air systems, furnaces, indoor environment department, other, public interest energy research (pier) program, residential hvac Abstract This project evaluated the air leakage and electric power consumption of Residential HVAC components, with a particular focus on air leakage of furnace cabinets. Laboratory testing of HVAC components indicated that air leakage can be significant and highly variable from unit to unit - indicating the need for a standard test method and specifying maximum allowable air leakage in California State energy codes. To further this effort, this project provided technical assistance for the development of a national standard for Residential HVAC equipment air leakage. This standard is being developed by ASHRAE and is called "ASHRAE Standard 193P - Method of test for Determining the Air Leakage Rate of HVAC Equipment". The final part of this project evaluated techniques for measurement of furnace blower power consumption. A draft test procedure for power consumption was developed in collaboration with the Canadian General Standards Board: CSA 823 "Performance Standard for air handlers in residential space conditioning systems".

387

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

388

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:

389

Final Technical Report: Residential Fuel Cell Demonstration by the Delaware County Electric Cooperative, Inc.  

SciTech Connect (OSTI)

This demonstration project contributes to the knowledge base in the area of fuel cells in stationary applications, propane fuel cells, edge-of-grid applications for fuel cells, and energy storage in combination with fuel cells. The project demonstrated that it is technically feasible to meet the whole-house electrical energy needs of a typical upstate New York residence with a 5-kW fuel cell in combination with in-home energy storage without any major modifications to the residence or modifications to the consumption patterns of the residents of the home. The use of a fuel cell at constant output power through a 120-Volt inverter leads to system performance issues including: • relatively poor power quality as quantified by the IEEE-defined short term flicker parameter • relatively low overall system efficiency Each of these issues is discussed in detail in the text of this report. The fuel cell performed well over the 1-year demonstration period in terms of availability and efficiency of conversion from chemical energy (propane) to electrical energy at the fuel cell output terminals. Another strength of fuel cell performance in the demonstration was the low requirements for maintenance and repair on the fuel cell. The project uncovered a new and important installation consideration for propane fuel cells. Alcohol added to new propane storage tanks is preferentially absorbed on the surface of some fuel cell reformer desulfurization filters. The experience on this project indicates that special attention must be paid to the volume and composition of propane tank additives. Size, composition, and replacement schedules for the de-sulfurization filter bed should be adjusted to account for propane tank additives to avoid sulfur poisoning of fuel cell stacks. Despite good overall technical performance of the fuel cell and the whole energy system, the demonstration showed that such a system is not economically feasible as compared to other commercially available technologies such as propane reciprocating engine generators.

Mark Hilson Schneider

2007-06-06T23:59:59.000Z

390

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

391

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

392

Occupational and residential 60-Hz electromagnetic fields and high-frequency electric transients: exposure assessment using a new dosimeter  

SciTech Connect (OSTI)

One problem that has limited past epidemiologic studies of cancer and exposure to extremely low-frequency (0-100 Hz) electric and magnetic fields has been the lack of adequate methods for assessing personal exposure to these fields. A new 60-Hz electromagnetic field dosimeter was tested to assess occupational and residential exposures of a group of electrical utility workers and a comparison background group over a 7-day period. Comparing work periods only, utility workers' exposures were significantly higher than background levels by a factor of about 10 for electric (E) and magnetic (B) fields and by a factor of 171 for high-frequency transient electric (HFTE) fields. When overall weekly time-weighted averages combining work and nonwork exposures were compared, ratios of the exposed to background groups were lower. B and HFTE exposure ratios remained statistically significant, with values of 3.5 and 58, respectively, whereas the electric field exposure ratio was no longer significant, with a value of 1.7. E-field exposures of the background group were the highest during the nonwork period, probably reflecting the use of electrical appliances at home. Residential E- and B-field exposures were in the same range as published results from other surveys, whereas occupational E-field exposures tended to be lower than exposures reported in other studies. The high variability associated with occupational exposures probably accounts for the latter discrepancy. Worker acceptance of wearing the dosimeter was good: 95% of participants found it to be of little or no inconvenience while at work. At home, 37% found the device to be inconvenient in its present form but would not object to wearing a slightly smaller and lighter dosimeter.

Deadman, J.E.; Camus, M.; Armstrong, B.G.; Heroux, P.; Cyr, D.; Plante, M.; Theriault, G.

1988-08-01T23:59:59.000Z

393

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...

394

A Framework for Modelling Residential Prosumption Devices and Electricity Tariffs for  

E-Print Network [OSTI]

response, capacity markets, and ancillary services market. However, electricity is a commodity with a high

395

Residential Lighting  

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

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

396

Residential Weatherization  

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

Showerheads Residential Weatherization Performance Tested Comfort Systems Ductless Heat Pumps New Construction Residential Marketing Toolkit Retail Sales Allocation Tool...

397

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

398

Modelling the impact of user behaviour on heat energy consumption  

E-Print Network [OSTI]

strategies impact on energy consumption in residentialBEHAVIOUR ON HEAT ENERGY CONSUMPTION Nicola Combe 1 ,2 ,nearly 60% of domestic energy consumption and 27% of total

Combe, Nicola Miss; Harrison, David Professor; Way, Celia Miss

2011-01-01T23:59:59.000Z

399

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

400

State energy data report 1996: Consumption estimates  

SciTech Connect (OSTI)

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

NONE

1999-02-01T23:59:59.000Z

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

402

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

E-Print Network [OSTI]

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

Treadway, N.

1987-01-01T23:59:59.000Z

403

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

404

Realized and Projected Impacts of U.S. Energy Efficiency Standards for Residential and Commercial Appliances  

E-Print Network [OSTI]

residential/commercial primary energy consumption and carbonthe savings in primary energy consumption using factors forsite energy to primary energy consumption. The model uses

Meyers, Stephen P.

2008-01-01T23:59:59.000Z

405

The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems  

E-Print Network [OSTI]

concentrated solar power (CSP), and wind penetrations in theis met by wind, solar PV, concentrating solar power with 6schemes on power prices: The case of wind electricity in

Barbose, Galen

2013-01-01T23:59:59.000Z

406

Energy Consumption | OpenEI  

Open Energy Info (EERE)

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

407

Residential Energy Disclosure (Hawaii)  

Broader source: Energy.gov [DOE]

A residential property owner is required to disclose electricity costs for the most recent three-month period in which the property was occupied as a condition of selling it. No proof or copies of...

408

Residential Buildings Integration | Department of Energy  

Office of Environmental Management (EM)

demonstrating, and deploying cost-effective solutions, BTO strives to reduce energy consumption across the residential building sector by at least 50%. Research and Development...

409

Residential Buildings Historical Publications reports, data and...  

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

1 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

410

Residential Buildings Historical Publications reports, data and...  

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

0 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

411

Residential Buildings Historical Publications reports, data and...  

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

1 Average Natural Gas Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

412

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

90 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

413

Residential Buildings Historical Publications reports, data and...  

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

7 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

414

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

2 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

415

Residential Buildings Historical Publications reports, data and...  

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

7 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

416

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

0 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

417

Residential Buildings Historical Publications reports, data and...  

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

2 Average LPG Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household Households...

418

Residential Buildings Historical Publications reports, data and...  

Gasoline and Diesel Fuel Update (EIA)

4 Average Fuel OilKerosene Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per...

419

Quantifying the Effect of the Principal-Agent Problem on US Residential Energy Use  

E-Print Network [OSTI]

Residential Energy Consumption Survey (U.S. EIA 2004a) toand energy consumption for refrigeration are from RECS (U.S.Residential Energy Consumption Survey 2001 (RECS 2001) (U.S.

Murtishaw, Scott; Sathaye, Jayant

2006-01-01T23:59:59.000Z

420

BPM Motors in Residential Gas Furnaces: What are the Savings?  

E-Print Network [OSTI]

of the total electricity consumption by BPM furnaces. Thisbecause furnace electricity consumption is significant.of furnace electricity consumption. Therefore, accurate

Lutz, James; Franco, Victor; Lekov, Alex; Wong-Parodi, Gabrielle

2006-01-01T23:59:59.000Z

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

2005 Residential Energy Consumption Survey  

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

D (2005) - Household Propane (Bottled Gas or LPG) Usage Form D (2005) - Household Propane (Bottled Gas or LPG) Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Propane (Bottled Gas or LPG) Usage Form Service Address: If the customer account number is not shown on the label, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and answer the seven questions for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality

422

2005 Residential Energy Consumption Survey  

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

F (2005) - Household Natural Gas Usage Form F (2005) - Household Natural Gas Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Natural Gas Usage Form Service Address: If the customer account number is not shown above, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and provide the requested information for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality and sanctions. Use the enclosed self-addressed envelope and return the completed form to:

423

2005 Residential Energy Consumption Survey  

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

G (2005) - Household Fuel Oil or Kerosene Usage Form G (2005) - Household Fuel Oil or Kerosene Usage Form OMB No. 1905-0092, Expiring May 31, 2008 Household Fuel Oil or Kerosene Usage Form Service Address: If the customer account number is not shown on the label, please enter it here. STEP 1 Customer Account: __/__/__/__/__/__/__/__/__/__/__/__/__/__/__/ STEP 2 Now, please turn the page and answer the seven questions for the household identified above. Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under Public Law 93-275, as amended. See the enclosed Answers to Frequently Asked Questions for more details concerning confidentiality and sanctions.

424

2005 Residential Energy Consumption Survey  

Gasoline and Diesel Fuel Update (EIA)

in gallons, of this household's storage tank(s)? Enter the capacity for the two largest tanks (if there is more than one) in the boxes below. If the capacity is not known, write...

425

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

426

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect (OSTI)

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

427

Average Residential Price  

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

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

428

Residential Energy Star Appliance Rebate Program  

Broader source: Energy.gov [DOE]

Energy Trust of Oregon offers rebates for Energy Star refrigerators, freezers and clothes washers to Oregon residential electric service customers of Portland General Electric (PGE) and Pacific...

429

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

430

Energy Crossroads: Practical Web Resources for Residential Energy Users |  

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

Practical Web Resources for Residential Energy Users Practical Web Resources for Residential Energy Users Suggest a Listing California Residents' 20% Solution Cut 20% on your home electricity consumption. This 20% solution web site identifies energy efficiency measures and their predicted percentage savings to help you save energy. California's Electricity System Status The power grid that supplies the electric current coming into your home or business is designed to maintain a dynamic balance between the consumer demand for electricity and the amount being supplied by generators. (This site also offers links for some other areas, like New York, New England, Texas, etc.) Consumer Energy Center This site offers the public a one-stop site on the Internet for the latest

431

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

432

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

433

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.

434

Energy Management and Cost Analysis in Residential Houses using Batteries  

E-Print Network [OSTI]

consumption constitutes 38% of the total energy consumption in the US, with millions of individual customers}@ucsd.edu Abstract--Residential energy consumption shows significant diurnal patterns that can be leveraged by energy, like smart metering, allow residential energy consumption to be monitored and managed more effectively

Simunic, Tajana

435

Development of a thermal and electrical energy management in residential building micro-grid  

Science Journals Connector (OSTI)

Global warming and pressing concern about CO2 emission along with increasing fuel and oil cost have brought about great challenges for energy companies and homeowners. In this regard a potential candidate solution is widely used for Distributed Energy Resources which are capable of providing high quality low-cost heat and power to off-grid or remote facilities. To appropriately manage thermal and electrical energy a Smart Energy Management System (SEMS) with hierarchical control scheme has been presented. The developed SEMS model results in mixed integer non-linear programming optimization problem with the objective function of minimizing the operation cost as well as considering emissions. Moreover the optimization problem has been solved for deterministic and stochastic scheduling algorithms. The novelty of this work is basically reliant on using data mining approach to reduce forecasting error. Several case studies have been carried out to evaluate the performance of proposed data mining method on both energy cost and expected cost.

B. Vahidi

2014-01-01T23:59:59.000Z

436

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

437

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

Reports and Publications (EIA)

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

2007-01-01T23:59:59.000Z

438

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

439

The Potential Impact of Increased Renewable Energy Penetration Levels on Electricity Bill Savings From Residential Photovoltaic Systems  

E-Print Network [OSTI]

and Renewable Energy, Solar Technologies Program of the U.S.Renewable Energy (Solar Energy Technologies Program) and thetechnologies, both utility-scale and behind-the-meter. Future installations of residential solar

Darghouth, Naim

2014-01-01T23:59:59.000Z

440

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% |

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

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

442

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, ÂŤEnergy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential BuildingsÂŽ  

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

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential Buildings" and 10 CFR Part 435 "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Low-Rise Residential Buildings" (DOE/EA-1778) 2 SUMMARY The U.S. Department of Energy (DOE) has prepared this Environmental Assessment (EA) for DOE's Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential

443

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, ÂŤEnergy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential BuildingsÂŽ  

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

Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, Draft Environmental Assessment for Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential Buildings" and 10 CFR Part 435 "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Low-Rise Residential Buildings" (DOE/EA-1778) 2 SUMMARY The U.S. Department of Energy (DOE) has prepared this Environmental Assessment (EA) for DOE's Proposed Rule, 10 CFR Part 433, "Energy Conservation and Fossil Fuel-Generated Energy Consumption Reduction Standards for the Design and Construction of New Federal Commercial and Multi-Family High-Rise Residential

444

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

445

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

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

Marginal Residential Energy Prices in the Analysis of Proposed Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Title Estimating Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Publication Type Report LBNL Report Number LBNL-44230 Year of Publication 2000 Authors Chaitkin, Stuart, James E. McMahon, Camilla Dunham Whitehead, Robert D. Van Buskirk, and James D. Lutz Document Number LBNL-44230 Date Published March 1 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Use of marginal energy prices, instead of average energy prices, represents a theoretically valuable and challenging refinement to the usual life-cycle cost analysis conducted for proposed appliance energy efficiency standards. LBNL developed a method to estimate marginal residential energy prices using a regression analysis based on a nationally representative sample of actual consumer energy bills. Based on the 1997 Residential Energy Consumption Survey (RECS), national mean marginal electricity prices were estimated to be 2.5% less than average electricity prices in the summer and 10.0% less than average prices in the non-summer months. For natural gas, marginal prices were 4.4% less than average prices in the winter and 15.3% less than average prices in the non-winter months.

446

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

447

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

448

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

449

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

450

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

451

Energy use of US residential refrigerators and freezers: function derivation based on household and climate characteristics  

E-Print Network [OSTI]

Residential Energy Consumption Survey (RECS), U.S. Energyod for estimating field energy consumption of US residentialconsumption survey—detailed tables. Residential Energy Con- sumption Survey (RECS), U.S.

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

452

AEO2011: Renewable Energy Consumption by Sector and Source | OpenEI  

Open Energy Info (EERE)

Consumption by Sector and Source Consumption by Sector and Source Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 17, and contains only the reference case. The dataset uses quadrillion Btu. The data is broken down into marketed renewable energy, residential, commercial, industrial, transportation and electric power. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords Commercial Electric Power Industrial Renewable Energy Consumption Residential sector source transportation Data application/vnd.ms-excel icon AEO2011: Renewable Energy Consumption by Sector and Source- Reference Case (xls, 105 KiB) Quality Metrics Level of Review Peer Reviewed

453

Non-residential | OpenEI  

Open Energy Info (EERE)

05 05 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278105 Varnish cache server Non-residential Dataset Summary Description Natural gas consumption data from the California Energy Commission sorted by County for Residential and Non-residential from 2006 to 2009. Source California Energy Commission Date Released Unknown Date Updated Unknown Keywords annual energy consumption Energy Consumption Natural Gas Non-residential Residential Data text/csv icon Natural Gas Consumption By County (csv, 17 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2006-2009 License License Other or unspecified, see optional comment below

454

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

455

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

456

California Baseline Energy Demands to 2050 for Advanced Energy Pathways  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

457

Essays in Behavioral Economics and Environmental Policy  

E-Print Network [OSTI]

shown that residential electricity consumption increases onshown that residential electricity consumption increases onprograms. Commercial electricity consumption is estimated to

Sexton, Steven E.

2012-01-01T23:59:59.000Z

458

Building Technologies Residential Survey  

SciTech Connect (OSTI)

Introduction A telephone survey of 1,025 residential occupants was administered in late October for the Building Technologies Program (BT) to gather information on residential occupant attitudes, behaviors, knowledge, and perceptions. The next section, Survey Results, provides an overview of the responses, with major implications and caveats. Additional information is provided in three appendices as follows: - Appendix A -- Summary Response: Provides summary tabular data for the 13 questions that, with subparts, comprise a total of 25 questions. - Appendix B -- Benchmark Data: Provides a benchmark by six categories to the 2001 Residential Energy Consumption Survey administered by EIA. These were ownership, heating fuel, geographic location, race, household size and income. - Appendix C -- Background on Survey Method: Provides the reader with an understanding of the survey process and interpretation of the results.

Secrest, Thomas J.

2005-11-07T23:59:59.000Z

459

OpenEI - Energy Consumption  

Open Energy Info (EERE)

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

460

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

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

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

462

Residential Buildings  

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

Apartment building exterior and interior Apartment building exterior and interior Residential Buildings EETD's research in residential buildings addresses problems associated with whole-building integration involving modeling, measurement, design, and operation. Areas of research include the movement of air and associated penalties involving distribution of pollutants, energy and fresh air. Contacts Max Sherman MHSherman@lbl.gov (510) 486-4022 Iain Walker ISWalker@lbl.gov (510) 486-4692 Links Residential Building Systems Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations

463

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

464

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

465

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

466

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

467

Kenergy- Residential Energy Efficiency Rebate Program (Kentucky)  

Broader source: Energy.gov [DOE]

Kenergy is an electric cooperative that serves 51,000 households and commercial customers in 14 western Kentucky counties. Currently, Kenergy offers three rebate programs for residential customers...

468

Idaho Falls Power- Residential Weatherization Loan Program  

Broader source: Energy.gov [DOE]

Residential customers with permanently installed electric heat who receive service from the City of Idaho Falls, are eligible for 0% weatherization loans. City Energy Service will conduct an...

469

Commercial and Residential Hourly Load Profiles for all TMY3...  

Open Energy Info (EERE)

America House Simulation Protocols). This dataset also uses the Residential Energy Consumption Survey (RECS) for statistical references of building types by location (Additional...

470

Community based outreach strategies in residential energy upgrade programs  

E-Print Network [OSTI]

Home energy upgrades can reduce residential energy consumption and improve indoor conditions, thereby realizing environmental, economic, health and other social benefits. Utilities, government and other actors have established ...

McEwen, Brendan (Brendan Carl Francis)

2012-01-01T23:59:59.000Z

471

Propane demand modeling for residential sectors- A regression analysis.  

E-Print Network [OSTI]

??This thesis presents a forecasting model for the propane consumption within the residential sector. In this research we explore the dynamic behavior of different variables… (more)

Shenoy, Nitin K.

2011-01-01T23:59:59.000Z

472

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

E-Print Network [OSTI]

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

Peffer, Therese E.

2009-01-01T23:59:59.000Z

473

Residential and Transport Energy Use in India: Past Trend and Future Outlook  

E-Print Network [OSTI]

15 Figure 9. Electricity Consumption per Household per year,vi Annexes Annex 1. Model of Electricity Consumption by MPCEAnnex 1. Model of Electricity Consumption by MPCE Class

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

474

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

residential sector key indicators residential sector key indicators Dataset Summary Description This dataset is the 2009 United States Residential Sector Key Indicators and Consumption, part of the Source EIA Date Released March 01st, 2009 (5 years ago) Date Updated Unknown Keywords AEO consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon 2009 Residential Sector Key Indicators and Consumption (xls, 55.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote

475

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...

476

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

477

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

478

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

479

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

480

A review of solar cooling technologies for residential applications in Canada  

Science Journals Connector (OSTI)

In the last two decades, the demand for residential cooling has increased exponentially, creating a significant demand on the electrical grid during the summer months. Between 1990 and 2008, the total Canadian residential floor area that requires cooling has almost tripled, while the total energy consumed for space cooling has more than doubled. The implementation of solar cooling systems could assist in reducing this energy consumption, and consequently, reduce greenhouse gas emissions released into the atmosphere as a result of the generation of the required electricity to power typical air conditioners. This paper presents a review of the solar cooling technologies that have been developed and implemented for use in residential and commercial applications. Related work conducted under the International Energy Agency is also described and a review of cooling installations both worldwide and Canada are discussed.

Christopher Baldwin; Cynthia A. Cruickshank

2012-01-01T23:59:59.000Z

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


481

ENERGY CONSUMPTION SURVEY  

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

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

482

Hawaiian Electric Company Demand Response Roadmap Project  

E-Print Network [OSTI]

with  residential  electric  resistance  water  heater  solar system backup electric resistance water heaters. Anheaters require electric resistance backup water heaters.

Levy, Roger

2014-01-01T23:59:59.000Z

483

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

Open Energy Info (EERE)

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

484

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network [OSTI]

Evidence from Residential Electricity Demand,” Review ofLester D. “The Demand for Electricity: A Survey,” The BellResidential Demand for Electricity under Inverted Block

Borenstein, Severin

2008-01-01T23:59:59.000Z

485

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

486

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

487

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.

488

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...

489

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...

490

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...

491

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...

492

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...

493

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...

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