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

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

2

,"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...

3

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...

4

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.

5

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.

6

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

7

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

8

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

9

Residential Wood Heating Fuel Exemption (New York) | Department of Energy  

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

Wood Heating Fuel Exemption (New York) Wood Heating Fuel Exemption (New York) Residential Wood Heating Fuel Exemption (New York) < Back Eligibility Multi-Family Residential Residential Savings Category Bioenergy Maximum Rebate None Program Info State New York Program Type Sales Tax Incentive Rebate Amount 100% exemption Provider New York State Department of Taxation and Finance New York exempts retail sales of wood used for residential heating purposes from the state sales tax. The law also permits local governments (municipalities and counties) to grant an exemption from local sales taxes. If a city with a population of 1 million or more chooses to grant the local exemption, it must enact a specific resolution that appears in the state law. Local sales tax rates in New York range from 1.5% to more than 4% in

10

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

11

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

12

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

13

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

14

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

15

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.

16

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

17

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

18

Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2002  

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

6 Selected Wood and Wood-Related Products in Fuel Consumption, 2002;" 6 Selected Wood and Wood-Related Products in Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Selected NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." ,,"S e l e c t e d","W o o d","a n d","W o o d -","R e l a t e d","P r o d u c t s" ,,,,,"B i o m a s s" ,,,,,,"Wood Residues" ,,,,,,"and","Wood-Related" " "," ","Pulping Liquor"," "," ","Wood","Byproducts","and","RSE",," " "NAICS"," ","or","Biomass","Agricultural","Harvested Directly","from Mill","Paper-Related","Row"

19

Table N5.2. Selected Wood and Wood-Related Products in Fuel Consumption, 1998  

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

2. Selected Wood and Wood-Related Products in Fuel Consumption, 1998;" 2. Selected Wood and Wood-Related Products in Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: Selected NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." ,,"S e l e c t e d","W o o d","a n d","W o o d -","R e l a t e d","P r o d u c t s" ,,,,,"B i o m a s s" ,,,,,,"Wood Residues" ,,,,,,"and","Wood-Related" " "," ","Pulping Liquor"," "," ","Wood","Byproducts","and","RSE",," " "NAICS"," ","or","Biomass","Agricultural","Harvested Directly","from Mill","Paper-Related","Row"

20

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

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

Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010;  

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

Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010; Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2010; Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources; Unit: Trillion Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and Industry Black Liquor Total(b) Waste(c) from Trees(d) Processing(e) Refuse(f) Total United States 311 Food 0 44 43 * * 1 311221 Wet Corn Milling 0 1 1 0 0 0 312 Beverage and Tobacco Products 0 1 0 0 1 0 321 Wood Products 0 218 * 13 199 6 321113 Sawmills 0 100 * 5 94 1 3212 Veneer, Plywood, and Engineered Woods 0 95 * 6 87 2 321219 Reconstituted Wood Products 0 52 0 6 46 1 3219 Other Wood Products

22

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

23

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

24

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

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

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,...

27

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

28

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

29

Residential Bulk-Fed Wood-Pellet Central Boilers and Furnace Rebate Program  

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

Residential Bulk-Fed Wood-Pellet Central Boilers and Furnace Rebate Residential Bulk-Fed Wood-Pellet Central Boilers and Furnace Rebate Program Residential Bulk-Fed Wood-Pellet Central Boilers and Furnace Rebate Program < Back Eligibility Multi-Family Residential Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Maximum Rebate $6,000 Program Info Funding Source New Hampshire Renewable Energy Fund (FY 2013) Start Date 04/14/2010 Expiration Date When progr State New Hampshire Program Type State Rebate Program Rebate Amount 30% Provider New Hampshire Public Utilities Commission The New Hampshire Public Utilities Commission (PUC) is offering rebates of 30% of the installed cost of qualifying new residential bulk-fed, wood-pellet central heating boilers or furnaces. The maximum rebate is $6,000. To qualify, systems must (1) become operational on or after May 1,

30

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)

31

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%

32

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.

33

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

34

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.

35

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.

36

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

37

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

38

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

39

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

40

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

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

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.

42

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.

43

Engineering economic assessment of whole-house residential wood heating in New York  

Science Journals Connector (OSTI)

Abstract Wood devices increasingly are being used for residential space heating in New York. Motivations include avoiding high and variable fuel costs, promoting energy independence, mitigating climate change, and stimulating local economic development. In this study, the influence of fuel prices, device costs, and device efficiencies on heating costs was examined. Lifetime costs of alternative heating technologies were calculated for a house in Syracuse, New York. Calculations were repeated to explore discount rates and fuel price projections. Combinations of wood price and device cost and efficiency were identified at which wood is competitive with other fuels. The results suggest that fuel costs drive competitiveness more than capital and installation costs. At typical wood prices, natural gas often is the least expensive option. Many rural areas do not have access to gas, however, and high-efficiency wood-heating devices can be very competitive with heat pumps, propane boilers, and fuel-oil boilers. Availability of low-cost or on-site wood can make wood the least expensive option. However, even free wood is not free when the equipment, labor, space and time required are considered. Furthermore, efficiencies of wood devices and their pollutant emissions can differ greatly. High emission rates have led to restrictions on use of specific wood-heating devices in some locations. Improved information and tools should be available to consumers for evaluating the suitability of wood heating for their particular situations. The work presented here is an example of such information.

Daniel H. Loughlin; Rebecca S. Dodder

2014-01-01T23:59:59.000Z

44

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

45

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

46

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

47

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

48

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

49

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

50

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

51

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

52

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

rate paid at the utilitys avoided cost. Results of theroughly to the utilitys avoided cost of energy. Details anda reasonable value for the avoided cost of residential PV

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

53

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

54

Oxidation of volatiles in residential wood burning equipment. Final technical report, September 1980-February 1984  

SciTech Connect (OSTI)

The objectives of this project are to measure, through the use of laboratory combustors, those conditions which promote complete combustion of wood volatiles in residential wood burning equipment. The conditions of interest are combustion temperature, residence time, stoichiometry, and air mixing. The project objectives are met through two laboratory approaches: (1) model compound studies: in order to measure the overall rates of oxidative pyrolysis of biomass volatiles, and to determine the types of intermediate organic species which are likely to form as part of this process, model compounds have been reacted in a specialized jet-stirred reactor, which has been developed as part of this research. (2) high-intensity wood combustion: in order to study the clean combustion of wood, that is, to investigate the conceptual design features required for clean burning, and to ascertain the levels and types of pollutant and condensible species which are most difficult to oxidize, a high-intensity, research wood combustor has been developed and examined for the different phases of the wood burning cycle. Although the objectives of the project have been met, it has not been possible, because of support limitations, to thoroughly explore several interesting aspects which have arisen because of this research. For example, a third laboratory system in which wood pyrolysis gas is injected directly into the a well characterized reactor, so that the kinetics and mechanisms of the gas-phase reaction of the actual biomass volatiles can be studied, could not be thoroughly developed. Refinements in the high-intensity wood combustor, which would bring its design features closer to practicality for the industry, could not be considered. 32 references, 37 figures, 10 tables.

Malte, P.C.; Thornton, M.M.; Kamber, P.D.

1984-04-01T23:59:59.000Z

55

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

56

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

57

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.

58

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...

59

Wood pellets production costs and energy consumption under different framework conditions in Northeast Argentina  

Science Journals Connector (OSTI)

The development of cleaner and renewable energy sources are needed in order to reduce dependency and global warming. Wood pellets are a clean renewable fuel and has been considered as one of the substitutes for fossil fuels. In Argentina, large quantities of sawmill residues are still unused and wood pellets production could be seen as both, as an environmental solution and an extra economical benefit. The general aim of this study was to determine the wood pellets production costs and energy consumption under different framework conditions in northeast Argentina. The specific costs of wood pellets for the different scenarios showed relative lower costs comparing to the ones reported in other studies, ranging from 35 to 47 /Mgpellets. Raw material costs represented the main cost factor in the calculation of the total pellets production costs. A lower specific production cost was observed when 50% of the raw material input was wood shavings. The specific electricity consumption per metric ton of pellet was lower in scenarios with higher production rate. Lower heat energy consumption was observed in scenarios that have a mixed raw material input. The most promising framework condition for Northeast Argentina, in terms of costs effectiveness and energy consumption could be acquired with production rates of 6Mg/h with sawdust and wood shavings as raw material. However, simultaneous increment of the electricity by 50% and raw material price by 100% may increase the specific costs up to 50%.

Augusto Uasuf; Gero Becker

2011-01-01T23:59:59.000Z

60

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...

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

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

62

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

63

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

64

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

65

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

66

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

67

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

68

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

69

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

70

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

71

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

72

,"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

73

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 Energys (DOEs) 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

74

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

75

,"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

76

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

77

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

78

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

79

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

80

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

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

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

82

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

83

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

84

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

85

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.

86

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

87

Evaluation of Gas, Oil and Wood Pellet Fueled Residential Heating System Emissions Characteristics  

SciTech Connect (OSTI)

This study has measured the emissions from a wide range of heating equipment burning different fuels including several liquid fuel options, utility supplied natural gas and wood pellet resources. The major effort was placed on generating a database for the mass emission rate of fine particulates (PM 2.5) for the various fuel types studied. The fine particulates or PM 2.5 (less than 2.5 microns in size) were measured using a dilution tunnel technique following the method described in US EPA CTM-039. The PM 2.5 emission results are expressed in several units for the benefit of scientists, engineers and administrators. The measurements of gaseous emissions of O{sub 2}, CO{sub 2}, CO, NO{sub x} and SO{sub 2} were made using a combustion analyzer based on electrochemical cells These measurements are presented for each of the residential heating systems tested. This analyzer also provides a steady state efficiency based on stack gas and temperature measurements and these values are included in the report. The gaseous results are within the ranges expected from prior emission studies with the enhancement of expanding these measurements to fuels not available to earlier researchers. Based on measured excess air levels and ultimate analysis of the fuel's chemical composition the gaseous emission results are as expected and fall within the range provided for emission factors contained in the US-EPA AP 42, Emission Factors Volume I, Fifth Edition. Since there were no unexpected findings in these gaseous measurements, the bulk of the report is centered on the emissions of fine particulates, or PM 2.5. The fine particulate (PM 2.5) results for the liquid fuel fired heating systems indicate a very strong linear relationship between the fine particulate emissions and the sulfur content of the liquid fuels being studied. This is illustrated by the plot contained in the first figure on the next page which clearly illustrates the linear relationship between the measured mass of fine particulate per unit of energy, expressed as milligrams per Mega-Joule (mg/MJ) versus the different sulfur contents of four different heating fuels. These were tested in a conventional cast iron boiler equipped with a flame retention head burner. The fuels included a typical ASTM No. 2 fuel oil with sulfur below 0.5 percent (1520 average ppm S), an ASTM No. 2 fuel oil with very high sulfur content (5780 ppm S), low sulfur heating oil (322 ppm S) and an ultra low sulfur diesel fuel (11 ppm S). Three additional oil-fired heating system types were also tested with normal heating fuel, low sulfur and ultralow sulfur fuel. They included an oil-fired warm air furnace of conventional design, a high efficiency condensing warm air furnace, a condensing hydronic boiler and the conventional hydronic boiler as discussed above. The linearity in the results was observed with all of the different oil-fired equipment types (as shown in the second figure on the next page). A linear regression of the data resulted in an Rsquared value of 0.99 indicating that a very good linear relationship exits. This means that as sulfur decreases the PM 2.5 emissions are reduced in a linear manner within the sulfur content range tested. At the ultra low sulfur level (15 ppm S) the amount of PM 2.5 had been reduced dramatically to an average of 0.043 mg/MJ. Three different gas-fired heating systems were tested. These included a conventional in-shot induced draft warm air furnace, an atmospheric fired hydronic boiler and a high efficiency hydronic boiler. The particulate (PM 2.5) measured ranged from 0.011 to 0.036 mg/MJ. depending on the raw material source used in their manufacture. All three stoves tested were fueled with premium (low ash) wood pellets obtained in a single batch to provide for uniformity in the test fuel. Unlike the oil and gas fired systems, the wood pellet stoves had measurable amounts of particulates sized above the 2.5-micron size that defines fine particulates (less than 2.5 microns). The fine particulate emissions rates ranged from 22 to 30 mg/ MJ with an average value

McDonald, R.

2009-12-01T23:59:59.000Z

88

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

89

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

90

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

91

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

92

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

93

Life in the woods : production and consumption of the urban forest  

E-Print Network [OSTI]

The use of wood is fraught with paradox. Wood as a building material is embraced for its naturalness, while the cutting of trees is indicted as a destruction of nature. Wood is lauded for its structural properties and ...

Volicer, Nadine (Nadine M.)

2012-01-01T23:59:59.000Z

94

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.

95

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...

96

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

97

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

98

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

99

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

100

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

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

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

102

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

103

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

104

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 worlds largest developing country and greenhouse gas emitter, Chinas residential energy consumption (REC) is now responsible for over 11% of the countrys total energy consumption. In this paper, we present a novel method that utilizes spatially distributed information from the Defense Meteorological Satellite Programs Operational Linescan System (DMSPOLS) 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

105

Efficiency and Emissions Study of a Residential Micro-cogeneration System based on a Modified Stirling Engine and Fuelled by a Wood Derived Fas Pyrolysis Liquid-ethanol Blend.  

E-Print Network [OSTI]

??A residential micro-cogeneration system based on a Stirling engine unit was modified to operate with wood derived fast pyrolysis liquid (bio-oil)-ethanol blend. A pilot stabilized (more)

Khan, Umer

2012-01-01T23:59:59.000Z

106

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.

107

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

108

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

109

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

110

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

111

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

112

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

113

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...

114

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

115

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

116

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

117

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

Science Journals Connector (OSTI)

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

Ana Soares; lvaro Gomes; Carlos Henggeler Antunes

2014-01-01T23:59:59.000Z

118

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%

119

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

120

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

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

Wood Resources International  

E-Print Network [OSTI]

Wood Resources International Wood Raw Material Consumption on the Rise Despite Weak Global Economy UNECE Timber Committee Meeting October 7-8, 2003 Geneva, Switzerland Håkan Ekström Wood Resources International #12;Wood Resources International Outline · Roundwood Removals · Roundwood Consumption · Raw

122

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, 10min 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

123

Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption  

Buildings Energy Data Book [EERE]

3 3 Growth Rate Wood Solar Thermal Solar PV GSHP Total 2010-Year 1980 0.846 0.000 N.A. 0.000 0.846 - 1981 0.873 0.000 N.A. 0.000 0.873 - 1982 0.971 0.000 N.A. 0.000 0.971 - 1983 0.970 0.000 N.A. 0.000 0.970 - 1984 0.980 0.000 N.A. 0.000 0.980 - 1985 1.010 0.000 N.A. 0.000 1.010 - 1986 0.920 0.000 N.A. 0.000 0.920 - 1987 0.853 0.000 N.A. 0.000 0.853 - 1988 0.910 0.000 N.A. 0.000 0.910 - 1989 0.920 0.052 N.A. 0.005 0.977 - 1990 0.582 0.056 N.A. 0.006 0.643 - 1991 0.610 0.057 N.A. 0.006 0.673 - 1992 0.640 0.059 N.A. 0.006 0.706 - 1993 0.548 0.061 N.A. 0.007 0.616 - 1994 0.520 0.063 N.A. 0.006 0.589 - 1995 0.520 0.064 N.A. 0.007 0.591 - 1996 0.540 0.065 N.A. 0.007 0.612 - 1997 0.428 0.064 N.A. 0.007 0.499 - 1998 0.380 0.064 N.A. 0.008 0.452 - 1999 0.400 0.063 N.A. 0.009 0.471 - 2000 0.430 0.060 N.A. 0.009 0.499 - 2001 0.374 0.059 N.A. 0.009 0.442 - 2002 0.380 0.057 N.A. 0.010 0.448 - 2003 0.400 0.057 N.A. 0.013 0.470 -

124

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

125

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

126

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

127

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

128

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

129

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

130

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

131

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)

132

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...

133

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...

134

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

135

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

136

Effects of Framing on the Thermal Performance of Wood and Steel-Framed Walls  

E-Print Network [OSTI]

members as well as insulation imperfections [13]. Building load calculation programs like Manual J [14] also does not incorporate these thermal anomalies. Previous ORNL research demonstrated that about 10% to 15% of the US residential energy consumption... of nominal 2x4 inch wood and steel-framed walls insulated with R-13 hft 2 F/BTU (3.5-in. thick) fiberglass batts were tested in the ORNL guarded hot box in accordance with ASTM C 1363. In these walls, nominal 2x4 inch wood or steel studs were constructed...

Kosny, J.; Yarbrough, D. W.; Childs, P.; Mohiuddin, S. A.

2006-01-01T23:59:59.000Z

137

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)

138

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

139

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

140

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

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

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...

142

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...

143

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...

144

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...

145

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...

146

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...

147

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...

148

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...

149

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...

150

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...

151

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...

152

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...

153

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...

154

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...

155

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...

156

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...

157

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

158

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

159

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:

160

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.

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

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...

162

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

163

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

164

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...

165

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 Thibaux

2013-01-01T23:59:59.000Z

166

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

167

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

168

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 BuildingsŽ  

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

169

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 BuildingsŽ  

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

170

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 surveydetailed tables. Residential Energy Con- sumption Survey (RECS), U.S.

Greenblatt, Jeffery

2013-01-01T23:59:59.000Z

171

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

172

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

173

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

174

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

175

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

176

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

177

Landfill Disposal of CCA-Treated Wood with Construction and  

E-Print Network [OSTI]

Landfill Disposal of CCA-Treated Wood with Construction and Demolition (C&D) Debris: Arsenic phased out of many residential uses in the United States, the disposal of CCA-treated wood remains. Catastrophic events have also led to the concentrated disposal of CCA-treated wood, often in unlined landfills

Florida, University of

178

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...

179

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

180

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

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

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

182

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

183

CCA-Treated Wood  

Science Journals Connector (OSTI)

Abstract Chromated copper arsenate (CCA) is a chemical preservative that protects wood from rotting due to insects and microbial agents. It has been used to pressure-treated lumber since the 1930s. Since the 1970s, the majority of the wood used in residential settings was CCA-treated wood. It is a registered chemical pesticide that is subject to US Environmental Protection Agency's (EPA's) regulation. The pesticide registration for CCA was modified as a result of a voluntary agreement reached in February 2002 between the registrants and EPA, in order to transition to a new generation of preservatives for most nonindustrial applications. That agreement permitted the use of CCA for all existing registered uses until December 2003 and the continued sale and distribution of CCA-treated wood treated in accordance with the label. After 1 January 2004, following label amendment, CCA was permitted and continues to be sold to treat wood for many uses. This article is a revision of the previous edition article by C. Charles Barton and Thomas T. Newton, volume 1, pp 489490, 2005, Elsevier Inc.

C. Barton

2014-01-01T23:59:59.000Z

184

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).

185

Qualifying Wood Stove Deduction | Department of Energy  

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

Qualifying Wood Stove Deduction Qualifying Wood Stove Deduction Qualifying Wood Stove Deduction < Back Eligibility Residential Savings Category Bioenergy Maximum Rebate 500 Program Info Start Date 1/1/1994 State Arizona Program Type Personal Deduction Rebate Amount Total cost, exclusive of taxes, interest and other finance charges Provider Arizona Department of Revenue This incentive allows Arizona taxpayers to deduct the cost of converting an existing wood fireplace to a qualifying wood stove. The cost to purchase and install all necessary equipment is tax deductible, up to a maximum $500 deduction. Qualifying wood stoves must meet the standards of performance for new wood heaters manufactured after July 1990, or sold after July 1992 pursuant to [http://www.epa.gov/oecaerth/resources/policies/monitoring/caa/woodstover...

186

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

187

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

Open Energy Info (EERE)

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

188

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

189

Residential Buildings  

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

Exterior and interior of apartment building Exterior and interior of apartment building Residential Buildings The study of ventilation in residential buildings is aimed at understanding the role that air leakage, infiltration, mechanical ventilation, natural ventilation and building use have on providing acceptable indoor air quality so that energy and related costs can be minimized without negatively impacting indoor air quality. Risks to human health and safety caused by inappropriate changes to ventilation and air tightness can be a major barrier to achieving high performance buildings and must be considered.This research area focuses primarily on residential and other small buildings where the interaction of the envelope is important and energy costs are dominated by space conditioning energy rather than air

190

Residential Marketing Toolkit  

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...

191

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

192

Residential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris Aksanli, Tajana Simuni Rosing  

E-Print Network [OSTI]

, green energy, residential energy management, smart scheduling I. INTRODUCTION Building energy nature of home energy consumption [5]. A majority of work has focused on characterizing green energyResidential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris

Simunic, Tajana

193

EIA Data: 2011 United States Residential Sector Key Indicators and  

Open Energy Info (EERE)

Residential Sector Key Indicators and Residential Sector Key Indicators and Consumption Dataset Summary Description This dataset is the 2011 United States Residential Sector Key Indicators and Consumption, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics. Source EIA Date Released December 16th, 2010 (4 years ago) Date Updated Unknown Keywords consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon Residential Sector Key Indicators and Consumption (xls, 62.5 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

194

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

195

NREL: Buildings Research - Residential Buildings Research Staff  

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

Residential Buildings Research Staff Residential Buildings Research Staff Members of the Residential Buildings research staff have backgrounds in architectural, civil, electrical, environmental, and mechanical engineering, as well as environmental design and physics. Ren Anderson Dennis Barley Chuck Booten Jay Burch Sean Casey Craig Christensen Dane Christensen Lieko Earle Cheryn Engebrecht Mike Gestwick Mike Heaney Scott Horowitz Kate Hudon Xin Jin Noel Merket Tim Merrigan David Roberts Joseph Robertson Stacey Rothgeb Bethany Sparn Paulo Cesar Tabares-Velasco Jeff Tomerlin Jon Winkler Jason Woods Support Staff Marcia Fratello Kristy Usnick Photo of Ren Anderson Ren Anderson, Ph.D., Manager, Residential Research Group ren.anderson@nrel.gov Research Focus: Evaluating the whole building benefits of emerging building energy

196

Residential Consumption of Natural Gas (Summary)  

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

4,722,358 4,892,277 4,778,907 4,782,412 4,713,777 4,148,970 4,722,358 4,892,277 4,778,907 4,782,412 4,713,777 4,148,970 1930-2012 Alabama 35,481 37,793 36,061 42,215 36,582 27,582 1967-2012 Alaska 19,843 21,439 19,978 18,714 20,262 21,380 1967-2012 Arizona 38,321 38,453 34,732 37,812 38,592 34,974 1967-2012 Arkansas 32,731 35,718 33,252 36,240 33,737 26,191 1967-2012 California 492,378 489,304 480,721 494,890 512,565 477,931 1967-2012 Colorado 130,971 133,947 128,993 131,224 130,116 115,306 1967-2012 Connecticut 43,348 42,935 43,995 42,729 44,719 41,050 1967-2012 Delaware 10,000 9,875 10,049 10,126 10,030 8,564 1967-2012 District of Columbia 13,371 13,222 13,466 13,608 12,386 11,260 1980-2012 Florida 15,066 15,594 15,214 18,744 16,400 14,395 1967-2012 Georgia

197

Residential Consumption of Natural Gas (Summary)  

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

201,662 124,885 113,148 105,298 122,276 212,126 1973-2014 Alabama 1,362 814 774 758 725 1,138 1989-2014 Alaska 800 678 545 538 875 1,767 1989-2014 Arizona 1,720 1,253 1,077 1,007...

198

Energy Preview: Residential Transportation Energy Consumption...  

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

... Donna Dunston 202-586-6135 Section 5. Oil and Gas Resource Development ... Herbert T. Black 202-586-4055 Section 6. Coal...

199

Connecticut Natural Gas Residential Consumption (Million Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 6,412 5,891 5,717 3,694 2,231 1,296 1,114 996 1,138 1,986 3,221 6,991 1990 6,690 5,673 5,000 3,708 2,203 1,345 1,100 931...

200

Connecticut Natural Gas Residential Consumption (Million Cubic...  

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

Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 26,177 26,437 29,048 1970's 31,187 31,878 32,879 30,261 33,417 32,143 32,310 31,069 31,800...

Note: This page contains sample records for the topic "residential wood 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 Consumption of Natural Gas (Summary)  

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

368,670 193,869 128,608 112,802 108,847 120,681 1973-2013 368,670 193,869 128,608 112,802 108,847 120,681 1973-2013 Alabama 2,208 1,330 984 718 771 783 1989-2013 Alaska 1,901 1,121 589 500 593 994 1989-2013 Arizona 2,272 1,674 1,226 1,052 1,031 1,132 1989-2013 Arkansas 2,516 1,424 758 633 634 577 1989-2013 California 31,397 26,182 22,863 20,883 21,203 19,688 1989-2013 Colorado 12,415 6,719 3,653 2,677 2,661 3,201 1989-2013 Connecticut 4,273 1,676 1,202 903 981 1,167 1989-2013 Delaware 711 NA 196 149 158 180 1989-2013 District of Columbia 743 438 NA 274 248 275 1989-2013 Florida NA 959 639 703 712 842 1989-2013 Georgia 7,299 5,281 3,680 3,607 3,640 3,650 1989-2013 Hawaii 49 50 50 47 47 47 1989-2013 Idaho 1,844 897 649 471 422 647 1989-2013 Illinois

202

Improving the Energy Efficiency of Residential Buildings | Department of  

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

Residential Buildings Residential Buildings Improving the Energy Efficiency of Residential Buildings Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology. Learn More Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology. Learn More The Building Technologies Office (BTO) collaborates with the residential building industry to improve the energy efficiency of both new and existing homes. By developing, demonstrating, and deploying cost-effective solutions, BTO strives to reduce energy consumption across the residential building sector by at least 50%. Research and Development Conduct research that focuses on engineering solutions to design, test, and

203

Indianapolis Power & Light - Residential Energy Incentives Program |  

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

Indianapolis Power & Light - Residential Energy Incentives Program Indianapolis Power & Light - Residential Energy Incentives Program Indianapolis Power & Light - Residential Energy Incentives Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Commercial Lighting Lighting Program Info State Indiana Program Type Utility Rebate Program Rebate Amount CFLs: In store discounts A/C Cycling: $20/summer Split System AC: $300 - $400 Air Source Heat Pump: $200 - $300 Home Energy Evaluation and Energy Efficiency Kit: Free Refrigerator/Freezer Recycling: $30/unit Provider IPL Energy Incentives Program The Indianapolis Power and Light Energy Incentives Programs assist residential customers with reducing energy consumption. The program offers

204

Wood Dusts  

Science Journals Connector (OSTI)

Abstract The processing of wood is common in many types of work, and generates wood dust that has been associated with acute and chronic health effects. Workers exposed to wood dust may have adverse health effects such as upper and lower respiratory symptoms, decreased lung function, asthma, contact and allergic dermatitis, idiopathic pulmonary fibrosis, and sinonasal and nasopharyngeal cancer. This article is a revision of the previous edition article by Alan J. Weinrich and Paul Demers, volume 4, pp 464467, 2005, Elsevier Inc.

P.A. Demers; A.J. Weinrich

2014-01-01T23:59:59.000Z

205

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

E-Print Network [OSTI]

Consumption and Expenditures 1992. Energy Information Administration, U.S.92). April. US DOE. 1995c. Residential Energy ConsumptionConsumption and Expenditures 1993. EIA, Energy Information Administration, U.S.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

206

Residential building solar thermal analysis| A case study on Sophia Gordon Hall.  

E-Print Network [OSTI]

?? Solar thermal technologies, such as residential hot water heating and space conditioning, have potential for reducing green house gas emissions and fossil fuel consumption. (more)

Trethewey, Ross M.

2010-01-01T23:59:59.000Z

207

1996 Residential Lighting Use and Potential Savings  

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

Administration Home Page Welcome to the Energy Information Administration's Residential Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Energy Information Administration Home Page Administration Home Page Welcome to the Energy Information Administration's Residential Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Energy Information Administration Home Page Home > Energy Users > Residential Home >1996 Lighting DOE/EIA-0555(96)/2 Distribution Category UC-950 Energy Consumption Series Residential Lighting Use and Potential Savings September 1996 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 Contacts This publication was prepared by the Energy Information Administration (EIA) under the general direction of W. Calvin Kilgore, Director of the Office of Energy Markets and End Use (202-586-1617). The project was directed by Lynda T. Carlson, Director of the Office of Energy End Use and Integrated Statistics Division (EEUISD) (202-586-1112). Specific technical information may be obtained from the Residential Energy Consumption Survey (RECS) Manager, Robert Latta (202-586-1385). The FAX number for all EEUISD personnel is 202-586-0018.

208

Residential Solar Valuation Rates  

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

Residential Solar Valuation Rates Karl R. Rbago Rbago Energy LLC 1 The Ideal Residential Solar Tariff Fair to the utility and non-solar customers Fair compensation to...

209

Clean-Burning Wood Stove Grant Program (Maryland) | Department of Energy  

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

Clean-Burning Wood Stove Grant Program (Maryland) Clean-Burning Wood Stove Grant Program (Maryland) Clean-Burning Wood Stove Grant Program (Maryland) < Back Eligibility Residential Savings Category Bioenergy Program Info Start Date 09/07/2012 State Maryland Program Type State Rebate Program Rebate Amount Stick Burning Stove: $500 Pellet Burning Stove: $700 The Maryland Energy Administration (MEA) now offers the Clean Burning Wood Stove Grant program as part of its Residential Clean Energy Grant Program. The Clean Burning Wood Stove Grant program offers a flat grant award of $500 for stick burning wood stoves and $700 for pellet burning wood stoves that meet program eligibility requirements. Basic requirements for grant funding include: *The property must serve as primary residence *Clean burning wood stove must replace existing electric or non-natural gas

210

WoodChemistry Wood Degradation & Preservation  

E-Print Network [OSTI]

31 WoodChemistry Wood Degradation & Preservation Chemical Utilization of Wood Pulp & Paper and carbohydrates is of considerable interest in connection with a number of issues in wood chemistry, such as the reactions taking place during the formation of wood, the natural molecular weight distribution of lignin

Geldenhuys, Jaco

211

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

212

Energy Audit Results for Residential Building Energy Efficiency  

E-Print Network [OSTI]

Energy Audit Results for Residential Building Energy Efficiency Forrest City Phases I and II This report analyses complete energy audit results from 28 homes within the Forest City residential complex. Relationships between temperature, humidity, comfort, and energy consumption are detailed. Recommendations

213

EIA - The National Energy Modeling System: An Overview 2003-Residential  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The National Energy Modeling System: An Overview 2003 Residential Demand Module Figure 5. Residential Demand Module Structure. Need help, contact the National Energy Information Center at 202-586-8800. Residential Demand Module Table. Need help, contact the National Energy Information Center at 202-586-8800. NEMS Residential Module Equipment Summary Table. Need help, contact the National Energy Information Center at 202-586-8800. Characteristics of Selected Equipment Table. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from

214

Residential Buildings Integration Program  

Broader source: Energy.gov [DOE]

Residential Buildings Integration Program Presentation for the 2013 Building Technologies Office's Program Peer Review

215

Economic Modeling of Energy Supply from Burning Wood Wastes at British Columbia Pulp and Paper Mills  

Science Journals Connector (OSTI)

This paper analyzes the use of wood wastes to replace the extensive fossil-fuel consumption ... Columbia, and the further use of wood wastes to produce electricity at these mills. The ... would be willing to pay ...

A. J. Cox

1980-01-01T23:59:59.000Z

216

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

217

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

218

Wood biology We present investigations of wood  

E-Print Network [OSTI]

Wood biology We present investigations of wood formation which started in 1999. Samples for investigations are taken from living trees. Processes of wood formation are affected by different factors like temperature and precipitation. #12;We use light microscopy to study cell wall formation in the wood. Double

Cufar, Katarina

219

Wood Curriculum vitae 1 ERIC MATTHEW WOOD  

E-Print Network [OSTI]

Wood ­ Curriculum vitae 1 ERIC MATTHEW WOOD Spatial Analysis for Conservation and Department/17/2014 Postdoctoral Research Associate, University of Wisconsin-Madison PUBLICATIONS Wood, E. M., A. M. Pidgeon, V. C community structure in U.S protected areas. Ecological Applications in press Wood, E. M., and A. M. Pidgeon

Mladenoff, David

220

FRACTURE TOUGHNESS OF WOOD AND WOOD COMPOSITES  

E-Print Network [OSTI]

FRACTURE TOUGHNESS OF WOOD AND WOOD COMPOSITES DURING CRACK PROPAGATION Noah Matsumoto Structural, USA * Corresponding author: John.Nairn@oregonstate.edu SWST member #12;Fracture Toughness of Wood and Wood Composites During Crack Propagation ABSTRACT The mode I fracture toughness as a function of crack

Nairn, John A.

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

The National Energy Modeling System: An Overview 1998 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

RESIDENTIAL DEMAND MODULE RESIDENTIAL DEMAND MODULE blueball.gif (205 bytes) Housing Stock Submodule blueball.gif (205 bytes) Appliance Stock Submodule blueball.gif (205 bytes) Technology Choice Submodule blueball.gif (205 bytes) Shell Integrity Submodule blueball.gif (205 bytes) Fuel Consumption Submodule The residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar thermal and geothermal energy. The RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of the RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts,

222

Ground penetrating radar characterization of wood piles and the water table in Back Bay, Boston  

E-Print Network [OSTI]

Ground penetrating radar (GPR) surveys are performed to determine the depth to the water table and the tops of wood piles beneath a residential structure at 122 Beacon Street in Back Bay, Boston. The area of Boston known ...

LeFranois, Suzanne O'Neil, 1980-

2003-01-01T23:59:59.000Z

223

Drivers of U.S. Household Energy Consumption, 1980-2009  

Reports and Publications (EIA)

In 2012, the residential sector accounted for 21% of total primary energy consumption and about 20% of carbon dioxide emissions in the United States (computed from EIA 2013). Because of the impacts of residential sector energy use on the environment and the economy, this study was undertaken to help provide a better understanding of the factors affecting energy consumption in this sector. The analysis is based on the U.S. Energy Information Administration's (EIA) residential energy consumption surveys (RECS) 1980-2009.

2015-01-01T23:59:59.000Z

224

Residential Transportation Historical Publications reports, data and  

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

Historical Publications Historical Publications Residential Transportation reports, data tables and transportation questionnaires Released: May 2008 The Energy Information Administration conducts several core consumption surveys. Among them was the Residential Transportation Energy Consumption Survey (RTECS). RTECS was designed by EIA to provide information on how energy is used by households for personal vehicles. It was an integral part of a series of surveys (i.e., core consumption surveys) designed by EIA to collect data on energy used by end-use economic sectors. The RTECS collected data on the number and type of vehicles used by the household. For each vehicle, data were collected on the number of miles traveled (commonly called VMT) for the year, the number of gallons of fuel consumed, the type of fuel used, the priced paid for fuel, and the number of miles per gallon. Additional electronic releases are available on the Transportation homepage.

225

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

226

Residential propane prices decreases  

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

5, 2014 Residential propane prices decreases The average retail price for propane fell to 3.89 per gallon, that's down 11.9 cents from a week ago, based on the residential heating...

227

Residential propane price decreases  

Gasoline and Diesel Fuel Update (EIA)

6, 2014 Residential propane price decreases The average retail price for propane fell to 3.48 per gallon, down 15.9 cents from a week ago, based on the residential heating fuel...

228

Residential propane prices surges  

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

9, 2014 Residential propane price decreases The average retail price for propane fell to 3.08 per gallon, down 8.6 cents from a week ago, based on the residential heating fuel...

229

Residential propane price decreases  

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

05, 2014 Residential propane price decreases The average retail price for propane fell to 2.40 per gallon, down 1.2 cents from a week ago, based on the residential heating fuel...

230

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

2, 2014 Residential propane price decreases The average retail price for propane fell to 3.17 per gallon, down 13.1 cents from a week ago, based on the residential heating fuel...

231

Residential propane prices surges  

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

5, 2014 Residential propane price decreases The average retail price for propane fell to 3.30 per gallon, down 17.5 cents from a week ago, based on the residential heating fuel...

232

Better Buildings Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

The U.S. Department of Energy's (DOE's) Better Buildings Residential programs work with residential energy efficiency programs and their partners to improve homeowners' lives, the economy, and the...

233

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. 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 use 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" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

234

TREES, WOODS AND FORESTS  

E-Print Network [OSTI]

SCOTLAND'S TREES, WOODS AND FORESTS #12;2 SCOTLAND'S TREES, WOODS AND FORESTS2 #12;SCOTLAND'S TREES, WOODS AND FORESTS 3 CONTENTS CHAPTER 1 SCOTLAND'S FORESTS CHAPTER 2 FORESTS FOR PEOPLE CHAPTER 3 FORESTS SCOTLAND'S TREES, WOODS AND FORESTS #12;4 SCOTLAND'S TREES, WOODS AND FORESTS4 This booklet is written

235

Residential Transportation Historical Data Tables for 1983-2001  

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

RTECS Historical Data Tables RTECS Historical Data Tables Residential Transportation Historical Data Tables Released: May 2008 Below are historical data tables from the Residential Transportation Energy Consumption Survey (RTECS) and Household Vehicles Energy Use: Latest Data & Trends report. These tables cover the trends in energy consumption for household transportation throughout the survey years. The data focus on several important indicators of demand for transportation: number and type of vehicles per household; vehicle-miles traveled per household and per vehicle; fuel consumption; fuel expenditures; and fuel economy. Excel PDF Trends in Households & Vehicles Table 1. Number of Households with Vehicles excel pdf Table 2. Percent of Households with Vehicles excel pdf

236

EIA - Analysis of Natural Gas Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption 2010 Natural Gas Year-In-Review 2009 This is a special report that provides an overview of the natural gas industry and markets in 2009 with special focus on the first complete set of supply and disposition data for 2009 from the Energy Information Administration. Topics discussed include natural gas end-use consumption trends, offshore and onshore production, imports and exports of pipeline and liquefied natural gas, and above-average storage inventories. Categories: Prices, Production, Consumption, Imports/Exports & Pipelines, Storage (Released, 7/9/2010, Html format) 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. Categories: Consumption (Released, 6/23/2010, pdf format)

237

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

238

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".

239

Wood-Based Construction for Multi-story Buildings: Application of Cement Bonded Wood Composites as Structural Element  

Science Journals Connector (OSTI)

Modern housing and architecture are orientated towards high living quality and low energy consumption. The city of Vienna has put emphasis to introducing wood as a sustainable and ecological material for...

Alireza Fadai; Michael Fuchs; Wolfgang Winter

2014-01-01T23:59:59.000Z

240

EIA Energy Efficiency-Residential Sector Energy Intensities, 1978-2001  

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

Residential Sector Energy Intensities Residential Sector Energy Intensities RESIDENTIAL SECTOR ENERGY INTENSITIES: 1978-2005 Released Date: August 2004 Page Last Modified:June 2009 These tables provide estimates of residential sector energy consumption and energy intensities for 1978 -1984, 1987, 1990, 1993, 1997, 2001 and 2005 based on the Residential Energy Consumption Survey (RECS). Total Site Energy Consumption (U.S. and Census Region) Html Excel PDF By Type of Housing Unit (Table 1a) html Table 1a excel table 1a. excel table 1a. Weather-Adjusted by Type of Housing Unit (Table 1b) html table 1b excel table 1b excel table 1b Total Primary Energy Consumption (U.S. and Census Region) By Type of Housing Unit (Table 1c) html Table 1c excel table 1c excel table 1c Weather-Adjusted by Type of Housing Unit (Table 1d)

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

Chapter 4. Fuel Economy, Consumption and Expenditures  

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

4. Fuel Economy, Consumption, and Expenditures 4. Fuel Economy, Consumption, and Expenditures Chapter 4. Fuel Economy, Consumption, and Expenditures This chapter analyzes trends in fuel economy, fuel consumption, and fuel expenditures, using data unique to the Residential Transportation Energy Consumption Survey, as well as selected data from other sources. Analysis topics include the following: Following the oil supply and price disruptions caused by the Arab oil embargo of 1973-1974, motor gasoline price increases, the introduction of corporate average fuel economy standards, and environmental quality initiatives helped to spur major changes in vehicle technology. But have the many advances in vehicle technology resulted in measurable gains in the fuel economy of the residential vehicle fleet?

242

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

E-Print Network [OSTI]

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

Aickelin, Uwe

243

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

244

Distillate Fuel Oil Sales for Residential Use  

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

End Use Product: Residential - Distillate Fuel Oil Residential - No. 1 Residential - No. 2 Residential - Kerosene Commercial - Distillate Fuel Oil Commercial - No. 1 Distillate...

245

Sorption of organic gases in residential rooms  

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

residential rooms residential rooms Title Sorption of organic gases in residential rooms Publication Type Journal Article LBNL Report Number LBNL-59303 Year of Publication 2007 Authors Singer, Brett C., Alfred T. Hodgson, Toshifumi Hotchi, Katherine Y. Ming, Richard G. Sextro, Emily E. Wood, and Nancy J. Brown Journal Atmospheric Environment Volume 41 Start Page Chapter Pagination 3251-3265 Keywords adsorption, hazardous air pollutants, nerve agents, sink effect, volatile organic compounds Abstract Experiments were conducted to characterize organic gas sorption in residential rooms studied ''as-is'' with furnishings and material surfaces unaltered and in a furnished chamber designed to simulate a residential room. Results are presented for 10 rooms (five bedrooms, two bathrooms, a home office, and two multi-function spaces) and the chamber. Exposed materials were characterized and areas quantified. A mixture of volatile organic compounds (VOCs) was rapidly volatilized within each room as it was closed and sealed for a 5-h Adsorb phase; this was followed by 30-min Flush and 2-h closed-room Desorb phases. Included were alkane, aromatic, and oxygenated VOCs representing a range of ambient and indoor air pollutants. Three organophosphorus compounds served as surrogates for Sarin-like nerve agents. Measured gas-phase concentrations were fit to three variations of a mathematical model that considers sorption occurring at a surface sink and potentially a second, embedded sink. The 3-parameter sink-diffusion model provided acceptable fits for most compounds and the 4-parameter two-sink model provided acceptable fits for the others. Initial adsorption rates and sorptive partitioning increased with decreasing vapor pressure for the alkanes, aromatics and oxygenated VOCs. Best-fit sorption parameters obtained from experimental data from the chamber produced best-fit sorption parameters similar to those obtained from the residential rooms

246

Estimated United States Residential Energy Use in 2005  

SciTech Connect (OSTI)

A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

Smith, C A; Johnson, D M; Simon, A J; Belles, R D

2011-12-12T23:59:59.000Z

247

Building Technologies Office: Residential Buildings  

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

Residential Buildings Residential Buildings to someone by E-mail Share Building Technologies Office: Residential Buildings on Facebook Tweet about Building Technologies Office: Residential Buildings on Twitter Bookmark Building Technologies Office: Residential Buildings on Google Bookmark Building Technologies Office: Residential Buildings on Delicious Rank Building Technologies Office: Residential Buildings on Digg Find More places to share Building Technologies Office: Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat. Lighten Energy Loads with System Design. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program

248

Wood Quality: The Effects  

E-Print Network [OSTI]

Wood Quality: The Effects of Planting Density and Thinning Eini C. Lowell PNW Research Station wood quality? By volume, characteristic, product? #12;http://jilldenton.files.wordpress.com/2007, faster #12;What is it that defines wood quality?What is it that defines wood quality? Density: earlywood

249

Household Vehicles Energy Consumption 1991  

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

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

250

Standby electricity consumption and saving potentials of Turkish households  

Science Journals Connector (OSTI)

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

Mustafa Cagri Sahin; Merih Aydinalp Koksal

2014-01-01T23:59:59.000Z

251

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—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 (single-family, multifamily and mobile homes) and

252

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—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 (single-family, multifamily and mobile homes) and

253

A methodology for identifying and improving occupant behavior in residential Zhun (Jerry) Yu a  

E-Print Network [OSTI]

and developing countries. For example, in the US and Japan, residential building energy consumption accounts: Occupant behavior Building energy consumption Data mining Evaluation Identification a b s t r a c significantly reducing building energy consumption. Moreover, given that the proposed method is partly based

Fung, Benjamin C. M.

254

Wood Products 201213 Student Handbook  

E-Print Network [OSTI]

Wood Products 201213 Student Handbook Ecosystem Science and Management College ........................................................................................................................... 2 Wood Products Undergraduate Program ...................................................................................................................................................... 3 Careers for Wood Products Majors

Boyer, Elizabeth W.

255

Residential Retrofit Program Design Guide  

Broader source: Energy.gov [DOE]

This Residential Retrofit Program Design Guide focuses on the key elements and design characteristics of building and maintaining a successful residential retrofit program.

256

NREL: Buildings Research - Residential Capabilities  

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

Residential Capabilities Photo showing a row of homes in the distance. The NREL Residential Buildings group is an innovative, multidisciplinary team focused on accelerating the...

257

Residential and commercial buildings data book: Third edition  

SciTech Connect (OSTI)

This Data Book updates and expands the previous Data Book originally published by the Department of Energy in September, 1986 (DOE/RL/01830/16). Energy-related information is provided under the following headings: Characteristics of Residential Buildings in the US; Characteristics of New Single Family Construction in the US; Characteristics of New Multi-Family Construction in the US; Household Appliances; Residential Sector Energy Consumption, Prices, and Expenditures; Characteristics of US Commercial Buildings; Commercial Buildings Energy Consumption, Prices, and Expenditures; and Additional Buildings and Community Systems Information. 12 refs., 59 figs., 118 tabs.

Amols, G.R.; Howard, K.B.; Nicholls, A.K.; Guerra, T.D.

1988-02-01T23:59:59.000Z

258

Residential Humidity Control Strategies  

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

Residential Humidity Control Strategies Residential Humidity Control Strategies Armin Rudd Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas 2 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control goals  Comfort, and Indoor Air Quality  Control indoor humidity year-around, just like we do temperature  Durability and customer satisfaction  Reduce builder risk and warranty/service costs 2 3 Residential Energy Efficiency Stakeholder Meeting 2/29 - 3/2/2012 Austin, Texas Humidity control challenges 1. In humid cooling climates, there will always be times of the year when there is little sensible cooling load to create thermostat demand but humidity remains high * Cooling systems that modify fan speed and temperature set point based on humidity can help but are still limited

259

Energy Use and Indoor Thermal Environment of Residential Buildings in China  

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

Energy Use and Indoor Thermal Environment of Residential Buildings in China Energy Use and Indoor Thermal Environment of Residential Buildings in China Speaker(s): Hiroshi Yoshino Date: December 16, 2003 - 12:00pm Location: 90-3122 The first part of this talk will deal with the project on Energy Consumption and Indoor Environment Problems of Residential Buildings in China, organized by the Architectural Institute of Japan. Prof. Yoshino will discuss the results of project elements, including: 1) Literature survey and field investigation on energy consumption and indoor environment of residential buildings, 2) Compilation of weather data for building design based on observed data in China, 3) Literature survey and field investigation on energy consumption and indoor environment of residential buildings, 4) Estimation and verification of the effects of various

260

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

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

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

262

The Impact of Urban Form and Housing Characteristics on Residential Energy Use  

E-Print Network [OSTI]

in the metropolitan statistical areas in the United States. After controlling for differences in energy price and income, a positive relationship between residential energy consumption and a history of greater rates of land conversion was found. This study also finds...

Kim, Jong Yon

2012-11-29T23:59:59.000Z

263

Residential energy demand modeling and the NIECS data base : an evaluation  

E-Print Network [OSTI]

The purpose of this report is to evaluate the 1978-79 National Interim Energy Consumption Survey (NIECS) data base in terms of its usefulness for estimating residential energy demand models based on household appliance ...

Cowing, Thomas G.

1982-01-01T23:59:59.000Z

264

Building energy calculator : a design tool for energy analysis of residential buildings in Developing countries  

E-Print Network [OSTI]

Buildings are one of the world's largest consumers of energy, yet measures to reduce energy consumption are often ignored during the building design process. In developing countries, enormous numbers of new residential ...

Smith, Jonathan Y. (Jonathan York), 1979-

2004-01-01T23:59:59.000Z

265

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

266

OpenEI - Wood and Derived Fuels  

Open Energy Info (EERE)

UK Energy Statistics: UK Energy Statistics: Renewables and Waste, Commodity Balances (2010) http://en.openei.org/datasets/node/82 Annual commodity balances (supply, consumption) for renewables and waste in the UK from 1998 to 2009. Published as part of the Digest of UK energy statistics (DUKES), by the UK Department of Energy & Climate Change (DECC). Waste includes: wood waste, farm waste, sewage gas, landfill gas, waste and tyres. Renewables includes: wood, plant-based biomass, geothermal and active solar heat, hydro, wind, wave and tidal, and liquid biofuels.

License
Type of

267

Introduction Mich ael Wood  

E-Print Network [OSTI]

Introduction Mich ael Wood Italo Calvino was discreet about his life and the lives of others or mechanical means without prior written permission of the publisher. #12;viii michael wood notion with great

Rowley, Clarence W.

268

WOOD STREET METERED LOT  

E-Print Network [OSTI]

LOT E1 LOT O WOOD STREET METERED LOT LOT W5 LOT C4 LOT B4 LOT L LOT M MARSHFIELDAVENUE PAULINASTREET Clinical Sciences Building UI Hospital Wood Street Station Clinical Sciences North Grand Grounds Garden

Dai, Yang

269

Use-phase memory: a tool for the sustainable construction and renovation of residential buildings  

E-Print Network [OSTI]

). The statistics show that this sector consumes and pollutes more than industry (22% energy) or transport sectors1 Use-phase memory: a tool for the sustainable construction and renovation of residential buildings in the variability of the energy consumption and environmental impact of residential buildings during their use

Paris-Sud XI, Université de

270

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

271

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book [EERE]

4 4 2015 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 180.5 34.9 16.6 1.8 53.3 0.6 66.6 301.0 27.4% Space Cooling 0.0 161.1 161.1 14.7% Water Heating 69.6 5.1 3.1 8.2 75.3 153.1 13.9% Lighting 83.7 83.7 7.6% Refrigeration (5) 71.7 71.7 6.5% Electronics (6) 52.0 52.0 4.7% Wet Cleaning (7) 3.2 51.6 54.7 5.0% Cooking 11.5 1.8 1.8 17.9 31.1 2.8% Computers 30.0 30.0 2.7% Other (8) 10.6 10.6 149.3 160.0 14.6% Total 264.7 40.1 32.2 1.8 74.0 0.6 100% Note(s): Source(s): 759.1 1,098.4 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

272

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book [EERE]

3 3 2010 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 185.5 38.8 18.7 2.2 59.7 0.7 77.6 323.5 26.3% Space Cooling 0.0 210.2 210.2 17.1% Water Heating 68.7 7.1 4.6 11.7 90.4 170.8 13.9% Lighting 126.0 126.0 10.2% Electronics (5) 96.5 96.5 7.8% Refrigeration (6) 80.7 80.7 6.6% Wet Cleaning (7) 2.9 57.8 60.8 4.9% Cooking 11.4 1.9 1.9 42.6 55.9 4.5% Computers 30.5 30.5 2.5% Other (8) 10.2 10.2 36.3 46.5 3.8% Adjust to SEDS (9) 30.1 30.1 2.4% Total 268.5 45.9 35.3 2.2 83.5 0.7 100% Note(s): Source(s): 878.7 1,231.4 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. Carbon emissions

273

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book [EERE]

6 6 2035 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Total Percent Space Heating (4) 169.7 22.8 14.1 1.5 38.3 0.5 76.7 285.3 23.1% Water Heating 67.2 2.6 2.1 4.7 84.8 156.7 12.7% Space Cooling 0.0 194.5 194.5 15.7% Electronics (5) 68.1 68.1 5.5% Refrigeration (6) 81.5 81.5 6.6% Lighting 74.3 74.3 6.0% Wet Cleaning (7) 3.5 50.0 53.4 4.3% Cooking 12.2 1.5 1.5 23.2 37.0 3.0% Computers 41.9 41.9 3.4% Other (8) 14.1 14.1 229.6 243.7 19.7% Total 252.7 25.4 31.9 1.5 58.7 0.5 100% Note(s): Source(s): Electricity (3) 924.5 1,236.4 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

274

Buildings Energy Data Book: 2.4 Residential Environmental Data  

Buildings Energy Data Book [EERE]

5 5 2025 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 173.9 27.9 15.2 1.6 44.7 0.6 73.2 292.3 25.1% Space Cooling 0.0 177.2 177.2 15.2% Water Heating 70.2 3.5 2.5 6.0 83.7 159.9 13.8% Lighting 74.1 74.1 6.4% Refrigeration (5) 75.8 75.8 6.5% Electronics (6) 58.7 58.7 5.1% Wet Cleaning (7) 3.3 47.9 51.2 4.4% Cooking 11.7 1.6 1.6 20.8 34.2 2.9% Computers 37.6 37.6 3.2% Other (8) 12.4 12.4 189.1 201.5 17.3% Total 259.1 31.3 31.8 1.6 64.7 0.6 100% Note(s): Source(s): 838.1 1,162.5 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

275

Fact Sheet- Better Buildings Residential  

Office of Energy Efficiency and Renewable Energy (EERE)

Fact Sheet - Better Buildings Residential, from U.S. Department of Energy, Better Buildings Neighborhood Program.

276

CURRICULUM VITAE Robert Wood  

E-Print Network [OSTI]

CURRICULUM VITAE Robert Wood Assistant Professor Atmospheric Sciences, Box 351640, University. Publications [1] Wood, R., I. M. Stromberg, P. R. Jonas and C. S. Mill, 1997: Analysis of an air motion system on a light aircraft for boundary layer research. J. Atmos. Oceanic Technol., 14, 960-968. [2] Wood, R., D. W

Wood, Robert

277

Wood Durability Service & Reliability  

E-Print Network [OSTI]

Wood Durability Laboratory Service & Reliability Equipment & Facilities Field sites for AWPA E-7 (mold) tests. Wood weathering facilities. Lab-scale pressure treating cylin- ders. X-ray preservative analyzer (Oxford Twin-X). State-of-the-art facilities for wood and plastics composites manufacturing

278

The Friction of Wood  

Science Journals Connector (OSTI)

...1958 research-article The Friction of Wood D. Atack D. Tabor Earlier work, especially...following paper shows that the friction of wood may be explained in a similar way, that...The friction was studied between balsam wood (Abies balsamea) and surfaces of steel...

1958-01-01T23:59:59.000Z

279

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.

280

Residential | Open Energy Information  

Open Energy Info (EERE)

Residential Residential Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data From AEO2011 report . Market Trends In the AEO2011 Reference case, residential energy use per capita declines by 17.0 percent from 2009 to 2035 (Figure 58). Delivered energy use stays relatively constant while population grows by 26.7 percent during the period. Growth in the number of homes and in average square footage leads to increased demand for energy services, which is offset in part by efficiency gains in space heating, water heating, and lighting equipment. Population shifts to warmer and drier climates also reduce energy demand for space heating.[1] Issues in Focus In 2009, the residential and commercial buildings sectors used 19.6 quadrillion Btu of delivered energy, or 21 percent of total U.S. energy

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

Residential propane price  

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

propane price decrease The average retail price for propane is 2.37 per gallon, down 1.3 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

282

Residential propane price  

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

propane price decreases The average retail price for propane is 2.35 per gallon, down 1.1 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

283

Residential propane price  

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

propane price decreases The average retail price for propane is 2.36 per gallon, down 1 cent from last week, based on the residential heating fuel survey by the U.S. Energy...

284

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 3.2 cents from a week ago to 2.86 per gallon. That's up 59.3 cents from a year ago, based on the residential...

285

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 10.3 cents from a week ago to 2.96 per gallon. That's up 68.1 cents from a year ago, based on the residential...

286

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 3.9 cents from a week ago to 2.80 per gallon. That's up 53.7 cents from a year ago, based on the residential...

287

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 5.5 cents per gallon from last week to 2.62 per gallon; up 37.4 cents from a year ago, based on the residential...

288

Residential propane prices surges  

Gasoline and Diesel Fuel Update (EIA)

propane prices surges The average retail price for propane rose to an all-time high of 4.01 a gallon, that's up 1.05 from a week ago, based on the residential heating fuel survey...

289

Residential propane price increases  

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

propane price increases The average retail price for propane is 2.41 per gallon, up 6-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

290

Residential propane prices stable  

Gasoline and Diesel Fuel Update (EIA)

propane price decreases The average retail price for propane is 2.40 per gallon, down 9-tenths of a cent from last week, based on the residential heating fuel survey by the U.S....

291

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 4.8 cents from a week ago to 2.76 per gallon. That's up 51.2 cents from a year ago, based on the residential...

292

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 2.5 cents from a week ago to 2.83 per gallon. That's up 56 cents from a year ago, based on the residential...

293

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose to 2.40 per gallon, up 1.1 cents from a week ago, based on the residential heating fuel survey by the U.S. Energy...

294

Residential propane prices increase  

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

propane prices increase The average retail price for propane rose 2.3 cents per gallon from last week to 2.57 per gallon; up 32.2 cents from a year ago, based on the residential...

295

Residential propane prices available  

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

propane prices available The average retail price for propane is 2.30 per gallon, based on the U.S. Energy Information Administration's weekly residential heating fuel survey....

296

Residential propane prices increase  

Gasoline and Diesel Fuel Update (EIA)

propane prices increase The average retail price for propane rose 9.1 cents from a week ago to 2.71 per gallon. That's up 46.9 cents from a year ago, based on the residential...

297

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...

298

Tobacco Consumption  

Science Journals Connector (OSTI)

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

Martina Ptschke-Langer

2008-01-01T23:59:59.000Z

299

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

300

GE Nucleus for Residential Energy Use Education, Home Energy  

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

GE Nucleus for Residential Energy Use Education, Home Energy GE Nucleus for Residential Energy Use Education, Home Energy Management/Control, Residential Energy Integration Speaker(s): William Watts Date: August 4, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page Home Energy Gateways offer a single point of access to the AMI Smart Meter into the home. The Nucleus is GE's home energy management gateway. The GE Nucleus securely communicates to a Smart Meter and delivers real-time whole home energy consumption data for display to the Consumer. The Consumer is able to visualize their energy usage habits on a Client that is connected via TLS encryption to the WiFi or Ethernet interface of the Nucleus. The Nucleus records history of the consumer's usage and cost data for tracking of energy consumption habits. GE has a suite of Smart Appliances that

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

STEO October 2012 - wood  

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

More U.S. households burning wood this winter to stay warm, More U.S. households burning wood this winter to stay warm, reversing two-decade decline Burning wood as the primary heating source in U.S. households has risen over the last 10 years, reversing the decline seen in the 1980s and 1990s. About 2.6 million households out of 115 million will rely on wood as the main way to warm their homes this winter. That's up 3 percent from last year, according to the U.S. Energy Information Administration's new winter fuels forecast. The West will have the most households using wood as their primary space heating fuel, followed by the Midwest, South and Northeast regions of the United States. Wood is also the second most common backup fuel, after electricity, that households across the U.S. use as a supplemental heating source. Almost half of all rural households use wood this

302

Empirically Derived Strength of Residential Roof Structures for Solar Installations.  

SciTech Connect (OSTI)

Engineering certification for the installation of solar photovoltaic (PV) modules on wood roofs is often denied because existing wood roofs do not meet structural design codes. This work is intended to show that many roofs are actually sufficiently strong given the conservatism in codes, documented allowable strengths, roof structure system effects, and beam composite action produced by joist-sheathing interaction. This report provides results from a testing program to provide actual load carrying capacity of residential rooftops. The results reveal that the actual load carrying capacity of structural members and systems tested are significantly stronger than allowable loads provided by the International Residential Code (IRC 2009) and the national structural code found in Minimum Design Loads for Buildings and Other Structures (ASCE 7-10). Engineering analysis of residential rooftops typically ignores the system affects and beam composite action in determining rooftop stresses given a potential PV installation. This extreme conservatism combined with conservatism in codes and published allowable stress values for roof building materials (NDS 2012) lead to the perception that well built homes may not have adequate load bearing capacity to enable a rooftop PV installation. However, based on the test results presented in this report of residential rooftop structural systems, the actual load bearing capacity is several times higher than published values (NDS 2012).

Dwyer, Stephen F.; Sanchez, Alfred; Campos, Ivan A.; Gerstle, Walter H.

2014-12-01T23:59:59.000Z

303

Residential Energy Expenditures for Water Heating (2005) | OpenEI  

Open Energy Info (EERE)

Expenditures for Water Heating (2005) Expenditures for Water Heating (2005) Dataset Summary Description Provides total and average household expenditures on energy for water heating in the United States in 2005. The data was collected as part of the Residential Energy Consumption Survey (RECS). RECS is a national survey that collects residential energy-related data. The survey collected data from 4,381 households in housing units statistically selected to represent the 111.1 million housing units in the United States. Data were obtained from residential energy suppliers for each unit in the sample to produce the data. Source EIA Date Released September 01st, 2008 (6 years ago) Date Updated January 01st, 2009 (6 years ago) Keywords Energy Expenditures Residential Water Heating Data application/vnd.ms-excel icon 2005_Total.Expenditures.for_.Water_.Heating_EIA.Sep_.2008.xls (xls, 70.1 KiB)

304

New Energy Efficiency Standards for Residential Clothes Washers and  

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

New Energy Efficiency Standards for Residential Clothes Washers and New Energy Efficiency Standards for Residential Clothes Washers and Dishwashers to Save Consumers Billions on Energy Bills New Energy Efficiency Standards for Residential Clothes Washers and Dishwashers to Save Consumers Billions on Energy Bills May 16, 2012 - 1:08pm Addthis News Media Contact (202) 586-4940 WASHINGTON - As part of the Obama Administration's focus on taking sensible steps to save families money while also reducing energy consumption, the Department of Energy today announced common-sense energy efficiency standards for residential clothes washers and dishwashers that will save consumers $20 billion in energy and water costs. The new standards for both clothes washers and dishwashers were informed by important feedback from manufacturers, consumer groups and environmental

305

An Estimate of Residential Energy Savings From IECC Change Proposals  

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

An Estimate of Residential Energy Savings From IECC Change Proposals An Estimate of Residential Energy Savings From IECC Change Proposals Recommended for Approval at the ICC's Fall, 2009, Initial Action Hearings The U.S. Department of Energy (DOE) has established ambitious goals to improve the energy efficiency requirements of the International Energy Conservation Code (IECC) for residential buildings. DOE has established near- and long-term goals of 30% and 50% energy efficiency improvements, respectively, compared to the 2006 IECC. This report presents DOE's approach to calculating residential energy consumption for the purpose of estimating energy savings attributable to improvements in the code. This approach is then used to estimate the national average energy savings, relative to the 2006 IECC, resulting from the proposed improvements DOE submitted and supported for the 2012 IECC.

306

Wood and Derived Fuels | OpenEI  

Open Energy Info (EERE)

1 1 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142288361 Varnish cache server Wood and Derived Fuels Dataset Summary Description Annual commodity balances (supply, consumption) for renewables and waste in the UK from 1998 to 2009. Published as part of the Digest of UK energy statistics (DUKES), by the UK Department of Energy & Climate Change (DECC). Waste includes: wood waste, farm waste, sewage gas, landfill gas, waste and tyres. Renewables includes: wood, plant-based biomass, geothermal and active solar heat, hydro, wind, wave and tidal, and liquid biofuels. Source UK Department of Energy and Climate Change (DECC) Date Released July 29th, 2010 (4 years ago)

307

Household Vehicles Energy Consumption 1991  

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

C C Quality of the Data Appendix C Quality of the Data Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses under- coverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1991 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1991 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics published in this report such as total

308

Household Vehicles Energy Consumption 1991  

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

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

309

Household vehicles energy consumption 1991  

SciTech Connect (OSTI)

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

Not Available

1993-12-09T23:59:59.000Z

310

Building Technologies Office: Residential Building Activities  

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

Building Activities Building Activities The Department of Energy (DOE) is leading several different activities to develop, demonstrate, and deploy cost-effective solutions to reduce energy consumption across the residential building sector by at least 50%. The U.S. DOE Solar Decathlon is a biennial contest which challenges college teams to design and build energy efficient houses powered by the sun. Each team competes in 10 contests designed to gauge the performance, livability and affordability of their house. The Building America program develops market-ready energy solutions that improve the efficiency of new and existing homes while increasing comfort, safety, and durability. Guidelines for Home Energy Professionals foster the growth of a high quality residential energy upgrade industry and a skilled and credentialed workforce.

311

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumption to the Annual Energy Outlook Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—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 (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

312

EIA - Assumptions to the Annual Energy Outlook 2009 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2009 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 use 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” by appliance (or UEC—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 (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the projection horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the projection horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

313

Residential Retrofit Program Design Guide Overview Transcript...  

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

Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide Overview Transcript.doc Residential Retrofit Program Design Guide...

314

Fact Sheet: Better Buildings Residential Network | Department...  

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

Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network, increasing the number of...

315

Table 3.5 Selected Byproducts in Fuel Consumption, 2002  

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

5 Selected Byproducts in Fuel Consumption, 2002;" 5 Selected Byproducts in Fuel Consumption, 2002;" " Level: National Data and Regional Totals; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," ","Waste"," ",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars","RSE" "NAICS"," "," ","Furnace/Coke","Waste","Petroleum","or","Wood Chips,","and Waste","Row"

316

About Residential | Department of Energy  

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

Residential Buildings » About Residential Residential Buildings » About Residential About Residential The Building Technologies Office (BTO) collaborates with home builders, energy professionals, state and local governments, utilities, product manufacturers, educators, and researchers to improve the energy efficiency of both new and existing homes. Residential Sector Activities Include: Demonstrating to builders and remodelers how to build and renovate for high performance through best practice guides and case studies and continuing to developing innovative whole-house energy efficiency solutions through Building America research projects. We also provide guidelines and tools for researchers conducting building related research projects. Promoting a trusted, whole-house process for upgrading existing homes with

317

Jasper County REMC - Residential Residential Energy Efficiency Rebate  

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

Jasper County REMC - Residential Residential Energy Efficiency Jasper County REMC - Residential Residential Energy Efficiency Rebate Program Jasper County REMC - Residential Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Refrigerator Recycling: $35 Heat Pump Water Heater: $400 Air-Source Heat Pumps: $250 - $1,500/unit (Power Moves rebate), $200 (REMC Bill Credit) Dual Fuel Heat Pumps: $1,500/unit Geothermal Heat Pumps: $1,500/unit (Power Moves rebate), $500 (REMC Bill Credit) Provider Jasper County REMC Jasper County REMC, in conjunction with Wabash Valley Power Association's Power Moves programs, offers a range of rebates to its residential

318

Residential Building Code Compliance  

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

6 6 Residential Building Code Compliance: Recent Findings and Implications Energy use in residential buildings in the U.S. is significant-about 20% of primary energy use. While several approaches reduce energy use such as appliance standards and utility programs, enforcing state building energy codes is one of the most promising. However, one of the challenges is to understand the rate of compliance within the building community. Utility companies typically use these codes as the baseline for providing incentives to builders participating in utility-sponsored residential new construction (RNC) programs. However, because builders may construct homes that fail to meet energy codes, energy use in the actual baseline is higher than would be expected if all buildings complied with the code. Also,

319

Progress in Residential Retrofit  

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

The Cutting Edge: Progress in Residential Retrofit The Cutting Edge: Progress in Residential Retrofit A geographic representation of saturations of ceiling fans based on data from the RASSes. White areas indicate a lack of data for that region. Many utilities survey their customers to learn more about the buildings and the occupants in their service areas. These surveys-usually called "residential appliance saturation surveys," or RASSes-ask for the number and types of appliances present, the number of people living in the home, and sometimes personal information. The RASSes are also used to collect information about the presence of conservation measures such as wall and ceiling insulation, weatherstripping, multipane windows, and water flow restrictors. Building Energy Analysis Group researchers Alan Meier and Brian Pon gathered RASSes

320

Warm homes: Drivers of the demand for heating in the residential sector in New Zealand  

Science Journals Connector (OSTI)

New Zealand houses are large, often poorly constructed and heated, by OECD standards, and consequently are colder and damper indoors than recommended by the World Health Organisation. This affects both the energy consumption and the health of households. The traditional New Zealand household pattern of only heating one room of the house has been unchanged for decades, although there has been substantial market penetration of unflued gas heaters and more recently heat pumps. This paper describes the residential sector and the results of two community-based trials of housing and heating interventions that have been designed to measure the impact of (1) retrofitting insulation and (2) replacing unflued gas heaters and electric resistance heaters with heat pumps, wood pellet burners and flued gas heaters. The paper describes findings on the rebound effect or take-backthe extent to which households take the gains from insulation and heating improvements as comfort (higher temperatures) rather than energy savings, and compares energy-saving patterns with those suggested by an earlier study. Findings on these aspects of household space heating are discussed in the context of the New Zealand government's policy drive for a more sustainable energy system, and the implications for climate change policy.

Philippa Howden-Chapman; Helen Viggers; Ralph Chapman; Des ODea; Sarah Free; Kimberley OSullivan

2009-01-01T23:59:59.000Z

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

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

322

Measuring Residential Ventilation  

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

Measuring Residential Ventilation Measuring Residential Ventilation System Airflows: Part 2 - Field Evaluation of Airflow Meter Devices and System Flow Verification J. Chris Stratton, Iain S. Walker, Craig P. Wray Environmental Energy Technologies Division October 2012 LBNL-5982E 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor the Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any

323

Residential Buildings Integration Program  

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

David Lee David Lee Program Manager David.Lee@ee.doe.gov 202-287-1785 April 2, 2013 Residential Buildings Integration Program Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Sub-Programs for Review Better Buildings Neighborhood Program Building America Challenge Home Home Energy Score Home Performance with ENERGY STAR Solar Decathlon 3 | Building Technologies Office eere.energy.gov How Residential Buildings Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers

324

Wood pellet production  

SciTech Connect (OSTI)

Southern Energy Limited's wood pellet refinery, Bristol, Florida, produces wood pellets for fuel from scrap wood from a nearby sawmill and other hog fuel delivered to the plant from nearby forest lands. The refinery will provide 50,000 tons of pellets per year to the Florida State Hospital at Chattahoochee to fire recently converted boilers in the central power plant. The pellets are densified wood, having a moisture content of about 10% and a heating value of 8000 Btu/lb. They are 0.5 inches in diameter and 2 to 3 inches in length.

Moore, J.W.

1983-08-01T23:59:59.000Z

325

Residential propane price is unchanged  

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

13, 2014 Residential propane price is unchanged The average retail price for propane is 2.40 per gallon, down one-tenth of a cent from last week, based on the residential heating...

326

Solar Photovoltaic Financing: Residential Sector Deployment ...  

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

Solar Photovoltaic Financing: Residential Sector Deployment Solar Photovoltaic Financing: Residential Sector Deployment This report presents the information that homeowners and...

327

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use 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" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

328

Commercial and Residential Hourly Load Profiles for all TMY3 Locations in  

Open Energy Info (EERE)

and Residential Hourly Load Profiles for all TMY3 Locations in and Residential Hourly Load Profiles for all TMY3 Locations in the United States 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. Hourly load profiles are available for over all TMY3 locations in the United States here. Browse files in this dataset, accessible as individual files and as commercial and residential downloadable ZIP files. This dataset is approximately 4.8GiB compressed or 19GiB uncompressed. July 2nd, 2013 update: Residential High and Low load files have been updated from 366 days in a year for leap years to the more general 365 days in a normal year.

329

ENERGY STAR Residential Water Heaters to Save Americans Up to $823 Million  

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

STAR Residential Water Heaters to Save Americans Up to $823 STAR Residential Water Heaters to Save Americans Up to $823 Million in the Next Five Years ENERGY STAR Residential Water Heaters to Save Americans Up to $823 Million in the Next Five Years December 31, 2008 - 9:18am Addthis WASHINGTON - The U.S. Department of Energy (DOE) today announced the availability of ENERGY STAR® residential water heaters. With today's announcement, the ENERGY STAR® program now addresses every major residential appliance found in most American homes. Introduction of this product provides significant potential savings to consumers. Water heating represents up to 15.5 percent of national residential energy consumption, the second largest end use of energy in homes, following heating and cooling. Using one of five specified water heating technologies, ENERGY

330

Woods for Learning Strategy Woods for Learning Strategy | 32 | Woods for Learning Strategy  

E-Print Network [OSTI]

Strategy Woods for Learning #12;Woods for Learning Strategy Woods for Learning Strategy | 32 | Woods for Learning Strategy Foreword We want our young people to be successful learners, confident the use of woods for learning. Woodlands provide a rich resource for a range of learning opportunities

331

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.

332

STORM WATER Residential  

E-Print Network [OSTI]

STORM WATER QUALITY HOTLINE UCSC Residential Car Washing http THAT MAY CAUSE ENVIRONMENTAL HARM TO THE STORM WATER QUALITY HOTLINE: (831) 459-2553. LIKE US ON FACEBOOK AT UCSC STORM WATER MANAGEMENT PROGRAM! DID YOU KNOW? PRACTICAL SOLUTIONS > USE A COMMERCIAL CAR WASH

California at Santa Cruz, University of

333

Residential Mechanical Precooling  

SciTech Connect (OSTI)

This research conducted by the Alliance for Residential Building Innovation team evaluated mechanical air conditioner pre-cooling strategies in homes throughout the United States. EnergyPlus modeling evaluated two homes with different performance characteristics in seven climates. Results are applicable to new construction homes and most existing homes built in the last 10 years, as well as fairly efficient retrofitted homes.

German, A.; Hoeschele, M.

2014-12-01T23:59:59.000Z

334

Techno-economic assessment of the impact of phase change material thermal storage on the energy consumption and GHG emissions of the Canadian Housing Stock  

Science Journals Connector (OSTI)

Responsible for 17% of all energy consumption and 16% of greenhouse gas (GHG) emissions in Canada, the residential sector ... substantial opportunities for reducing both energy consumption and GHG emissions. Bein...

Sara Nikoofard; V. Ismet Ugursal; Ian Beausoleil-Morrison

2014-11-01T23:59:59.000Z

335

Friction of wood on steel.  

E-Print Network [OSTI]

?? This thesis deals with the experimental description of friction between steel and wood materials, specifically laminated veneer lumber (LVL) and pine wood with two (more)

Koubek, Radek

2014-01-01T23:59:59.000Z

336

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

residential.gif (5487 bytes) residential.gif (5487 bytes) The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—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 (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

337

Chopwell Wood Health Project  

E-Print Network [OSTI]

Chopwell Wood Health Project An innovative project of school visits and General Practitioner. The project took place at Chopwell Wood a 360 hectare mixed woodland managed by the Forestry Commission to carry on being involved in the project. Next stage of the project Although the project leader has now

338

The National Energy Modeling System: An Overview 2000 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. Figure 5. Residential Demand Module Structure RDM incorporates the effects of four broadly-defined determinants of energy consumption: economic and demographic effects, structural effects, technology turnover and advancement effects, and energy market effects. Economic and demographic effects include the number, dwelling type (single-family, multi-family or mobile homes), occupants per household, and location of housing units. Structural effects include increasing average dwelling size and changes in the mix of desired end-use services provided by energy (new end uses and/or increasing penetration of current end uses, such as the increasing popularity of electronic equipment and computers). Technology effects include changes in the stock of installed equipment caused by normal turnover of old, worn out equipment with newer versions which tend to be more energy efficient, the integrated effects of equipment and building shell (insulation level) in new construction, and in the projected availability of even more energy-efficient equipment in the future. Energy market effects include the short-run effects of energy prices on energy demands, the longer-run effects of energy prices on the efficiency of purchased equipment and the efficiency of building shells, and limitations on minimum levels of efficiency imposed by legislated efficiency standards.

339

Evaluation on Cooling Energy Load with Varied Envelope Design for High-Rise Residential Buildings in Malaysia  

E-Print Network [OSTI]

With the development of the economy in the recent years, Malaysia is maintaining a high economic growth and therefore, its energy consumption increases dramatically. Residential buildings are characterized by being envelope-load dominated buildings...

Al-Tamimi, N.; Fadzil, S.

2010-01-01T23:59:59.000Z

340

Wood energy fuel cycle optimization in beech and spruce forests  

Science Journals Connector (OSTI)

A novel synergistic approach to reducing emissions from residential wood combustion (RWC) is presented. Wood energy fuel cycle optimization (FCO) aims to provide cleaner burning fuels through optimization of forestry and renewable energy management practices. In this work, beech and spruce forests of average and high quality were modelled and analysed to determine the volume of fuel wood and its associated bark fraction produced during typical forestry cycles. Two separate fuel wood bark production regimes were observed for beech trees, while only one production regime was observed for spruce. The single tree and stand models were combined with existing thinning parameters to replicate existing management practices. Utilizing estimates of initial seedling numbers and existing thinning patterns a dynamic model was formed that responded to changes in thinning practices. By varying the thinning parameters, this model enabled optimization of the forestry practices for the reduction of bark impurities in the fuel wood supply chain. Beech forestry cycles responded well to fuel cycle optimization with volume reductions of bark from fuel wood of between ~10% and ~20% for average and high quality forest stands. Spruce, on the other hand, was fairly insensitive to FCO with bark reductions of 05%. The responsiveness of beech to FCO further supports its status as the preferred RWC fuel in Switzerland. FCO could easily be extended beyond Switzerland and applied across continental Europe and North America.

Nickolas K Meyer; Marco Mina

2012-01-01T23:59:59.000Z

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

CALIFORNIA STATEWIDE RESIDENTIAL APPLIANCE  

E-Print Network [OSTI]

methodology and results report that includes energy consumption tables from the conditional demand analysis Energy Consumption and Appliance Saturation Summaries. Results from the Conditional Demand Analysis (CDA conditioning is the primary driver of peak energy demand in California and the saturation of central air

342

Consumption Behavior in Investment/Consumption Problems  

Science Journals Connector (OSTI)

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

E. L. Presman

1997-01-01T23:59:59.000Z

343

Colorado Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 14,966 15,278 13,652 8,580 5,694 3,947 2,778 2,279 2,601 3,750 6,975 11,066 1990 15,699 13,559 12,631 9,873 7,248 4,191 2,478 2,357 2,331 3,450 7,142 10,956 1991 17,902 15,114 11,686 9,187 7,108 3,600 2,569 2,283 2,367 3,541 8,076 14,007 1992 16,198 14,400 11,499 8,789 5,005 3,963 2,809 2,438 2,644 3,547 7,607 15,715 1993 18,551 15,981 15,025 9,897 6,505 3,996 2,851 2,391 3,027 4,451 8,984 14,527 1994 16,252 15,391 13,500 9,732 6,819 3,474 2,546 2,378 2,440 4,013 8,388 14,571 1995 16,254 14,457 12,862 9,879 9,143 6,098 3,590 2,681 2,773 5,456 8,830 12,262 1996 17,597 17,480 14,685 11,526 6,901 4,316 2,869 2,505 2,773 4,886 9,571 15,814

344

Michigan Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 55,928 52,459 51,163 34,224 20,415 9,803 8,052 7,957 9,726 19,994 31,679 60,266 1990 55,931 48,164 43,437 31,606 19,275 11,093 7,779 8,253 9,336 17,937 29,517 45,069 1991 61,349 49,685 43,914 29,081 18,655 10,014 7,555 6,594 9,297 18,491 33,409 49,160 1992 56,513 52,668 46,640 36,421 21,545 11,927 8,773 8,655 9,435 20,856 34,278 50,376 1993 59,618 57,465 54,627 35,109 18,269 11,464 8,589 7,199 10,020 22,363 34,389 50,690 1994 72,958 65,427 50,524 33,363 20,215 9,904 7,353 7,536 8,524 16,721 27,344 44,719 1995 58,499 60,358 49,545 36,085 21,477 10,470 7,955 7,101 9,901 17,636 39,707 61,290 1996 68,480 63,693 57,657 40,288 24,645 10,619 7,657 7,300 9,068 18,528 38,862 52,724

345

Indiana Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 23,991 23,940 20,950 12,801 7,660 3,832 2,894 2,868 3,957 8,198 15,187 29,656 1990 25,597 20,159 17,227 13,294 7,054 3,980 3,042 3,116 3,684 8,499 13,130 21,711 1991 28,978 22,309 18,772 10,680 5,630 3,174 2,936 2,947 3,906 7,584 16,912 22,617 1992 26,077 22,018 18,963 14,093 7,584 4,627 3,484 3,312 3,960 8,361 15,953 24,261 1993 27,916 25,987 24,049 14,401 6,431 4,369 3,157 3,096 4,022 9,497 16,628 24,391 1994 35,494 28,268 20,773 12,918 7,190 3,664 2,839 3,077 3,725 7,277 12,189 20,054 1995 28,548 27,283 19,515 13,049 7,364 3,701 3,083 2,826 3,627 6,884 18,305 26,875 1996 33,354 28,907 24,978 16,823 8,919 4,513 3,201 3,117 3,617 7,846 18,577 26,087

346

New Mexico Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 5,623 4,696 3,345 1,960 1,111 910 829 734 765 899 1,975 3,746 1990 5,350 4,743 3,855 2,541 1,671 1,043 795 755 811 947 1,874 3,762 1991 5,664 4,784 3,632 3,030 1,732 1,079 880 778 811 1,052 1,926 4,398 1992 5,968 5,376 3,842 2,723 1,514 1,122 929 851 889 1,033 1,992 5,194 1993 5,542 4,610 3,478 1,890 979 442 964 849 929 2,000 4,358 5,803 1994 4,824 4,762 3,326 2,062 1,070 957 909 805 872 2,174 4,024 5,084 1995 5,335 3,968 2,699 2,282 1,734 1,371 757 815 814 1,319 3,027 4,649 1996 7,103 4,620 3,085 2,586 610 1,701 1,623 836 844 1,330 3,689 5,663 1997 7,369 5,668 3,836 1,513 1,965 239 820 849 836 1,217 4,095 8,217

347

Nebraska Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 7,006 7,911 6,742 3,687 1,968 1,137 1,078 1,007 1,212 1,972 3,788 7,297 1990 7,593 6,472 5,262 3,959 2,276 1,294 1,056 947 1,034 1,896 3,458 6,251 1991 9,508 6,544 5,212 3,123 2,234 1,163 1,019 953 1,085 2,062 5,196 6,573 1992 6,858 5,956 4,706 3,760 2,020 1,311 1,047 983 1,096 2,030 4,561 7,085 1993 9,013 6,132 7,668 5,098 2,360 1,495 1,119 999 1,217 1,998 4,336 6,820 1994 8,455 8,562 6,098 4,020 2,328 1,179 1,014 935 1,037 1,523 3,169 6,076 1995 8,146 7,156 6,026 4,284 2,967 1,587 1,035 906 1,051 1,577 4,132 6,188 1996 8,226 8,807 6,609 4,786 2,651 1,475 985 932 1,017 2,173 4,043 7,283

348

Georgia Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 15,116 16,389 9,603 7,211 4,629 3,050 2,988 2,792 3,466 5,190 11,110 22,137 1990 16,238 11,794 10,094 6,398 3,781 3,153 2,914 2,900 2,979 5,357 9,115 15,540 1991 18,493 13,332 10,872 5,129 3,781 3,092 2,984 2,965 2,893 4,829 12,479 15,812 1992 19,167 14,531 12,768 7,360 4,718 3,536 3,170 2,981 3,211 5,284 12,934 18,555 1993 17,952 18,076 15,664 9,279 4,443 3,106 3,028 2,939 2,903 6,147 11,585 20,533 1994 23,864 16,736 12,037 5,297 4,434 3,271 3,008 3,149 2,918 5,390 9,453 15,880 1995 20,343 18,858 10,571 6,026 3,961 3,206 3,002 3,000 3,319 6,067 14,965 21,351 1996 24,332 19,358 17,871 9,875 4,272 3,115 3,179 2,972 3,092 5,771 14,651 18,574

349

Alaska Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 1,793 2,148 1,566 1,223 858 638 432 370 536 895 1,474 1,656 1990 1,745 2,090 1,756 1,181 771 548 409 407 527 929 1,586 2,216 1991 1,931 1,847 1,477 1,258 907 662 470 438 600 926 1,356 1,691 1992 1,777 1,933 1,764 1,346 1,012 628 474 438 643 1,209 1,442 1,682 1993 2,079 2,138 1,471 1,288 891 577 423 402 513 1,043 1,261 1,772 1994 1,815 1,763 1,952 1,480 1,026 651 491 416 567 1,042 1,497 2,195 1995 2,059 1,923 1,912 1,573 943 680 534 448 588 866 1,411 2,294 1996 2,054 2,419 1,918 1,424 964 647 493 544 589 1,238 1,708 2,181 1997 2,249 1,618 1,767 1,177 789 508 463 418 743 1,569 1,684 2,162

350

Florida Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 1,709 1,445 1,834 1,207 817 707 674 617 641 637 974 1,825 1990 2,829 1,470 1,262 1,048 810 699 661 603 618 633 905 1,438 1991 1,595 1,811 1,568 1,078 766 714 653 610 646 659 1,130 1,677 1992 2,206 2,345 1,478 1,340 936 733 674 627 636 685 956 1,766 1993 1,652 1,868 1,923 1,480 963 772 679 618 669 706 1,007 1,605 1994 2,725 2,089 1,472 1,152 815 746 691 665 712 711 829 1,248 1995 2,239 2,453 1,595 1,122 841 748 716 641 729 668 1,004 1,785 1996 2,828 2,570 2,058 1,640 1,016 786 741 658 690 752 972 1,583 1997 1,955 1,866 1,154 914 852 773 709 670 631 681 1,074 1,837 1998 2,275 2,073 1,881 1,509 920 779 705 649 657 685 842 1,127

351

Ohio Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 49,326 56,594 42,862 31,700 18,482 7,759 7,332 7,262 9,812 20,647 37,970 69,403 1990 50,210 47,643 39,078 28,903 17,232 9,850 7,886 7,153 8,553 16,806 29,783 45,224 1991 58,400 51,151 42,595 25,951 13,621 7,982 6,897 6,230 7,805 17,321 35,764 48,007 1992 57,528 50,254 45,783 31,344 17,276 10,336 8,098 7,238 8,111 20,929 34,181 49,551 1993 55,994 58,767 52,719 32,260 13,835 11,884 7,273 6,549 7,996 20,454 34,956 51,423 1994 72,950 59,452 47,016 28,942 18,242 9,589 7,154 6,618 7,106 16,773 26,029 43,460 1995 60,093 58,896 43,659 30,852 16,763 8,575 7,097 6,298 7,397 17,326 40,926 59,871 1996 69,244 58,620 54,228 34,510 17,670 10,315 7,210 6,306 7,026 18,651 38,565 52,480

352

Vermont Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 353 314 314 227 122 61 40 37 43 97 165 353 1990 402 327 304 219 130 82 43 40 51 95 183 273 1991 381 366 299 225 124 64 46 40 49 110 187 314 1992 431 426 367 284 145 72 53 49 53 129 205 308 1993 412 446 433 271 138 84 50 45 51 127 189 285 1994 478 456 369 261 139 84 48 45 54 93 134 277 1995 352 372 333 266 136 79 49 42 54 86 176 353 1996 467 418 354 268 167 85 51 47 56 100 208 302 1997 419 416 383 283 189 97 57 52 59 118 214 345 1998 427 397 340 266 118 77 56 57 114 102 213 289 1999 493 384 374 282 158 77 56 56 58 123 212 293 2000 465 510 396 268 179 110 70 62 72 124 210 376

353

Louisiana Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 8,279 8,546 8,377 4,724 2,816 2,321 2,189 2,026 2,035 2,513 4,166 9,714 1990 12,359 6,495 5,729 4,263 2,775 2,264 2,028 1,973 2,033 2,349 4,380 6,745 1991 10,169 8,812 6,321 3,668 2,540 2,264 1,911 1,900 1,974 2,267 5,200 7,567 1992 9,861 9,220 5,650 4,544 2,799 2,288 2,067 1,960 2,014 2,222 4,185 8,411 1993 8,577 8,402 7,933 5,575 2,944 2,216 2,110 1,836 1,888 2,112 5,120 7,896 1994 11,755 9,414 6,612 4,057 2,495 2,036 1,924 1,717 1,882 2,154 2,985 5,947 1995 9,590 8,860 6,640 3,731 2,434 2,219 1,758 1,691 1,816 2,073 4,391 7,401 1996 11,865 10,284 7,507 5,158 2,562 1,977 1,820 1,831 1,836 2,102 3,511 6,173

354

North Carolina Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 6,946 5,655 6,202 3,723 1,899 1,020 744 695 745 1,338 2,823 6,866 1990 8,535 4,909 4,402 3,296 1,604 957 763 732 752 1,070 2,985 4,998 1991 7,073 6,819 5,529 2,963 1,490 931 748 756 782 1,486 3,751 5,647 1992 7,573 7,366 5,194 4,509 2,222 1,301 837 734 806 1,781 3,446 6,819 1993 8,379 8,140 8,024 5,030 1,977 1,039 829 761 815 1,459 3,918 6,733 1994 11,081 9,487 6,623 3,521 1,704 1,206 866 806 903 1,568 3,655 6,030 1995 9,068 9,632 6,916 3,644 1,882 1,095 976 799 938 1,402 4,445 8,581 1996 12,737 11,718 7,391 6,189 2,131 1,210 889 862 913 1,701 4,461 8,607 1997 10,031 9,983 5,800 4,080 2,986 1,596 1,072 898 934 1,438 4,875 9,202

355

Oklahoma Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 11,577 13,137 12,277 5,784 3,043 2,169 1,858 1,654 1,886 2,571 4,798 11,039 1990 14,092 10,213 8,262 6,640 4,024 2,206 1,679 1,599 1,563 2,416 4,675 8,248 1991 15,898 11,165 8,216 4,711 2,853 1,985 1,747 1,573 1,741 2,327 6,915 10,069 1992 12,164 10,656 7,235 5,961 3,219 2,549 1,949 1,712 1,775 2,236 4,722 11,635 1993 14,565 12,460 12,131 8,019 3,907 2,331 1,832 1,612 1,729 2,317 6,783 10,675 1994 13,551 13,450 9,884 5,919 3,639 2,014 1,687 1,533 1,667 2,163 4,292 9,411 1995 12,929 11,495 10,224 5,294 4,033 2,302 1,833 1,552 1,715 2,526 5,029 9,769 1996 14,851 14,497 10,164 7,697 3,321 1,989 1,628 1,515 1,679 2,267 5,722 11,298

356

Wyoming Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 1,923 1,964 1,597 1,180 743 517 344 259 350 518 973 1,412 1990 1,832 1,692 1,511 1,140 849 585 320 288 256 484 973 1,556 1991 2,238 1,668 1,340 1,124 922 463 293 259 274 568 1,179 1,665 1992 1,876 1,492 1,146 951 613 431 323 278 360 551 1,071 1,803 1993 2,142 1,797 1,653 1,164 809 506 366 292 380 641 1,181 1,731 1994 1,849 1,790 1,371 1,121 652 352 276 257 333 662 1,210 1,690 1995 2,037 1,496 1,453 1,200 1,006 681 347 271 361 611 1,125 1,565 1996 2,001 2,176 1,562 1,292 922 510 273 265 368 1,087 1,334 1,744 1997 2,251 1,667 1,550 1,062 1,080 397 295 245 320 617 1,179 2,337 1998 2,177 1,746 1,658 1,278 735 523 345 307 310 773 1,214 1,636

357

Virginia Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 9,913 9,446 9,042 5,421 2,881 1,713 1,479 1,340 1,374 2,831 4,799 11,473 1990 10,632 7,167 6,755 4,591 2,400 1,732 1,391 1,367 1,595 2,086 4,429 7,292 1991 9,653 9,064 7,241 4,516 2,150 1,621 1,400 1,365 1,418 2,516 5,473 7,782 1992 10,805 10,106 7,953 5,884 3,269 1,788 1,495 1,406 1,467 3,307 5,553 9,396 1993 10,835 11,634 10,506 5,868 2,438 1,632 1,442 1,412 1,435 2,695 5,569 10,007 1994 14,437 12,113 9,306 4,487 2,623 1,850 1,380 1,386 1,439 2,880 4,667 8,605 1995 11,505 12,596 8,887 4,876 2,830 1,626 1,494 1,459 1,383 2,245 7,059 12,753 1996 14,643 13,709 11,185 6,501 2,536 2,088 1,502 1,424 1,414 2,879 7,388 10,946

358

New Jersey Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 31,078 29,095 27,754 17,680 10,547 6,101 5,231 4,778 5,283 8,933 15,715 33,347 1990 32,311 24,403 23,115 17,743 9,578 6,157 5,017 4,515 5,336 6,708 14,180 22,596 1991 30,731 27,476 24,120 16,279 8,515 5,361 4,707 4,563 5,168 8,750 16,235 24,735 1992 31,150 31,006 26,880 20,212 11,680 6,166 5,239 4,918 5,338 10,368 17,953 27,553 1993 29,736 33,593 30,688 19,409 8,489 5,799 4,956 4,483 5,149 9,600 17,162 26,505 1994 43,772 40,563 31,677 18,003 9,046 6,362 5,307 5,278 5,873 9,903 14,676 26,412 1995 30,505 33,594 25,526 17,191 9,274 5,427 4,768 4,378 4,957 7,195 18,422 33,195 1996 41,314 36,979 31,467 20,410 11,915 6,412 5,103 4,715 5,472 9,917 18,933 29,983

359

West Virginia Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 5,838 5,621 5,179 3,608 2,263 1,001 741 695 824 1,738 3,240 6,382 1990 6,858 4,690 4,174 3,403 1,747 1,055 724 696 800 1,353 3,031 4,069 1991 5,561 5,527 4,858 2,876 1,372 707 629 622 765 1,738 3,210 4,722 1992 6,183 6,231 4,328 4,038 2,076 1,105 683 661 819 1,899 3,120 4,146 1993 5,220 5,960 5,767 3,560 1,608 962 533 620 740 1,818 3,347 5,072 1994 7,397 6,344 5,136 3,281 1,841 926 541 625 789 1,511 2,462 4,348 1995 5,783 6,546 4,592 3,173 1,776 702 574 560 740 1,441 3,626 5,867 1996 6,958 6,602 5,495 3,877 1,652 817 590 537 696 1,609 3,391 5,166 1997 5,908 5,572 4,273 3,386 2,223 952 492 598 776 1,737 4,061 6,017

360

Idaho Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 1,619 1,672 1,206 747 368 306 160 146 221 329 768 1,241 1990 1,445 1,419 1,078 630 475 360 173 160 186 349 896 1,397 1991 2,145 1,469 1,059 909 696 393 194 179 217 314 1,088 1,559 1992 1,843 1,361 944 730 445 247 233 183 274 428 1,024 1,946 1993 2,265 1,959 1,705 1,044 692 334 302 251 310 481 1,159 2,057 1994 1,929 1,926 1,432 1,001 568 367 298 212 273 584 1,456 2,240 1995 2,375 1,760 1,503 1,274 915 539 338 254 304 628 1,364 1,748 1996 2,369 2,510 1,847 1,315 976 542 300 277 364 646 1,570 2,224 1997 2,562 2,540 1,907 1,463 938 433 345 294 320 638 1,427 2,371 1998 2,980 2,236 2,035 1,563 906 667 403 292 316 657 1,510 2,438

Note: This page contains sample records for the topic "residential wood consumption" from the National Library of EnergyBeta (NLEBeta).
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361

Nevada Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 3,128 2,971 1,957 1,106 829 748 531 478 555 703 1,400 2,359 1990 2,988 3,010 2,208 1,127 862 775 562 520 521 717 1,270 2,593 1991 3,919 2,512 2,116 1,876 1,208 853 622 546 547 680 1,315 2,941 1992 3,525 2,611 2,094 1,394 803 695 671 529 608 727 1,226 3,302 1993 3,892 3,157 2,715 1,503 1,087 910 600 612 651 804 1,492 3,261 1994 3,597 3,331 2,505 1,474 1,151 883 669 587 632 829 1,751 3,855 1995 3,927 3,102 2,189 2,156 1,568 1,087 801 655 677 817 1,349 2,357 1996 3,744 3,264 2,903 1,884 1,264 1,011 779 678 732 894 2,069 3,386 1997 4,490 3,843 3,187 2,027 1,401 985 891 781 805 1,024 1,925 3,884

362

California Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 87,958 75,817 53,779 37,832 31,161 26,581 22,730 22,977 24,184 28,083 40,070 63,104 1990 78,572 73,931 60,247 37,602 30,979 25,125 22,555 22,334 22,093 24,435 40,091 76,544 1991 81,885 52,982 60,602 46,136 34,795 28,515 24,971 22,944 23,383 26,211 39,238 67,035 1992 77,875 61,574 46,860 37,311 28,422 24,100 22,397 22,039 21,969 24,434 37,291 75,266 1993 87,565 66,015 50,594 36,252 29,411 25,116 23,646 22,749 23,934 25,932 39,240 70,513 1994 72,586 66,977 52,478 35,315 37,223 26,995 24,541 23,620 21,949 25,961 56,469 76,846 1995 79,509 50,614 52,461 43,743 38,489 28,924 25,181 21,306 22,148 24,743 33,646 56,731

363

New York Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 56,307 52,502 51,981 35,963 23,868 13,364 10,098 9,189 9,514 16,060 28,576 57,291 1990 54,059 52,751 46,615 34,434 20,503 13,138 10,258 8,933 10,089 14,793 29,074 43,341 1991 55,999 51,173 47,603 33,457 19,738 11,231 9,292 8,622 9,542 16,338 29,610 46,288 1992 58,076 59,000 53,492 41,548 23,835 13,470 10,509 9,649 10,006 18,633 30,758 49,715 1993 58,856 61,673 60,184 38,778 20,123 13,685 10,003 9,069 9,719 18,990 33,567 49,569 1994 70,935 69,054 56,809 35,998 21,764 13,362 10,073 9,505 10,123 17,017 27,143 43,626 1995 56,657 60,717 52,596 38,254 23,334 13,817 10,010 7,634 9,330 13,159 32,655 56,841

364

Wisconsin Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 19,372 19,607 18,950 12,003 7,875 3,777 2,736 2,220 3,173 6,052 10,581 20,661 1990 19,353 17,314 14,811 10,034 6,598 3,564 2,344 2,475 3,081 6,656 10,282 17,537 1991 23,338 17,258 15,734 9,699 6,053 2,500 2,753 2,464 3,648 7,348 14,481 18,803 1992 19,941 17,320 15,740 11,914 6,373 3,681 2,604 2,662 3,229 7,630 13,233 19,080 1993 23,133 18,435 18,166 12,585 5,585 3,750 2,503 2,586 3,900 7,884 13,043 18,564 1994 25,797 22,434 16,632 10,937 5,763 3,020 2,812 2,832 3,179 6,185 11,079 17,505 1995 22,180 20,703 15,794 12,184 5,804 3,488 2,699 2,698 3,699 7,000 16,784 22,980 1996 25,405 22,563 20,320 12,774 8,015 4,415 2,753 2,726 3,130 7,783 16,724 21,285

365

Kansas Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 12,686 13,761 11,948 6,518 3,436 2,203 1,845 1,687 1,955 2,901 5,398 11,694 1990 15,037 10,951 9,080 7,528 4,486 2,458 1,819 1,678 1,770 2,515 5,082 8,922 1991 16,989 12,186 8,833 5,415 3,570 1,982 1,737 1,634 1,689 2,494 7,289 11,008 1992 12,653 10,939 7,890 6,917 3,788 2,609 1,932 1,740 1,798 2,421 6,102 12,732 1993 15,743 13,423 13,022 9,143 4,717 2,454 1,870 1,680 1,800 2,677 6,796 11,571 1994 15,494 13,162 8,589 5,752 3,096 1,911 1,757 1,647 1,615 3,828 6,443 10,864 1995 14,204 11,140 9,676 5,711 3,902 2,078 1,829 1,654 1,847 3,440 6,757 13,608 1996 16,870 13,787 11,170 6,313 3,054 1,734 1,836 1,640 1,973 3,163 9,447 14,388

366

Hawaii Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 51 52 50 50 47 49 46 42 45 43 46 46 1990 49 52 55 50 45 49 48 39 44 42 45 48 1991 50 50 49 51 46 45 40 39 44 42 44 46 1992 51 50 48 46 47 46 45 42 43 42 42 50 1993 51 51 52 48 44 47 46 41 42 42 46 47 1994 53 53 52 51 48 49 46 42 45 43 47 50 1995 53 52 52 50 49 50 47 43 45 44 43 45 1996 49 51 53 49 44 45 42 40 41 39 41 44 1997 51 49 46 41 42 41 43 41 40 39 42 45 1998 53 52 45 49 41 47 45 40 41 39 40 44 1999 49 48 44 46 44 43 45 41 41 44 36 42 2000 48 49 48 46 47 45 44 39 41 41 42 44 2001 48 43 49 47 46 47 44 41 43 40 43 47 2002 49 48 48 49 44 41 45 42 44 36 46 48

367

Iowa Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 12,794 12,643 12,215 7,244 3,943 2,063 1,647 1,527 1,790 3,225 5,912 12,401 1990 14,120 10,664 9,604 7,337 4,172 2,452 1,633 1,529 1,599 2,866 5,772 9,631 1991 16,033 11,730 9,458 5,924 3,559 1,991 1,473 1,511 1,757 4,082 8,906 12,377 1992 12,381 11,637 8,482 6,857 3,335 2,186 1,546 1,668 1,885 3,725 8,350 12,827 1993 15,138 13,050 11,587 7,597 3,450 2,382 1,563 1,516 2,137 4,595 8,673 11,735 1994 16,659 14,415 9,423 6,371 3,718 1,867 1,458 1,514 1,787 2,862 6,693 11,494 1995 14,994 12,569 7,941 7,377 4,303 1,334 1,380 1,252 1,814 3,803 11,222 14,248 1996 16,281 13,725 11,830 6,945 4,187 2,343 1,663 1,610 1,954 3,620 9,782 14,138

368

Arkansas Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 6,774 7,118 6,736 3,835 1,927 1,402 1,237 1,137 1,239 1,562 2,987 6,356 1990 8,681 5,556 4,628 3,810 2,161 1,367 1,154 1,111 1,170 1,479 3,267 4,804 1991 8,475 6,922 5,073 2,980 1,671 1,261 1,103 1,085 1,170 1,524 3,895 5,481 1992 7,150 6,724 4,305 3,828 1,854 1,371 1,194 1,124 1,096 1,511 3,132 6,185 1993 8,141 7,122 6,736 4,971 2,257 1,310 1,109 1,017 1,103 1,575 4,024 6,182 1994 8,723 7,974 5,659 3,756 1,800 1,190 1,068 959 1,107 1,423 2,724 5,144 1995 7,598 6,900 5,691 2,973 1,881 1,243 997 930 1,042 1,295 3,522 7,034 1996 9,008 8,713 6,146 4,846 1,967 1,202 930 955 1,044 1,425 3,768 6,286

369

Utah Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 8,316 8,290 5,786 3,585 2,215 1,763 1,374 1,235 1,322 1,718 3,640 5,923 1990 7,169 6,949 5,699 3,287 2,576 1,880 1,314 1,236 1,222 1,932 3,699 6,463 1991 9,582 7,276 5,715 4,514 3,544 2,041 1,348 1,269 1,347 1,802 4,293 7,841 1992 8,422 7,132 4,869 3,184 1,986 1,524 1,406 1,255 1,321 1,802 3,844 7,957 1993 8,919 8,045 6,589 4,375 3,055 1,845 1,533 1,353 1,449 2,322 4,676 7,619 1994 7,251 7,329 4,831 3,524 1,577 1,404 1,369 1,306 1,457 3,845 6,969 8,059 1995 7,769 6,009 5,407 4,336 2,965 1,956 1,386 1,422 1,970 3,857 4,684 7,214 1996 8,555 8,571 5,419 4,540 2,252 1,351 1,533 1,416 2,540 4,215 5,749 8,203

370

Oregon Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 3,632 4,026 3,351 2,054 1,141 950 696 549 581 804 1,835 2,886 1990 3,807 3,786 3,219 1,820 1,476 1,206 704 560 532 893 1,973 3,407 1991 5,334 3,529 3,075 2,631 1,936 1,461 811 595 582 710 2,106 3,554 1992 4,367 3,223 2,477 1,891 1,248 772 610 526 648 1,017 1,993 4,337 1993 5,789 4,569 3,843 2,533 1,769 945 768 672 698 959 2,336 4,896 1994 4,708 4,373 3,359 2,394 1,415 1,086 751 611 637 1,147 3,247 5,120 1995 5,117 3,656 3,532 2,783 2,048 1,084 808 654 687 1,128 2,620 3,952 1996 5,047 5,586 4,042 2,821 2,300 1,386 839 673 821 1,357 3,164 5,200 1997 5,671 5,128 4,242 3,130 1,883 1,069 881 758 829 1,536 2,713 4,684

371

North Dakota Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 1,660 1,590 1,476 1,040 506 309 213 166 240 398 816 1,411 1990 1,661 1,440 1,175 949 581 337 191 167 220 398 828 1,235 1991 2,019 1,528 1,254 859 671 277 196 193 224 441 1,187 1,489 1992 1,500 1,456 1,128 1,002 616 311 260 214 285 458 990 1,472 1993 2,059 1,522 1,462 1,082 568 350 268 210 271 505 964 1,457 1994 2,042 2,019 1,448 1,031 582 263 220 183 235 385 807 1,446 1995 1,811 1,711 1,518 1,190 706 390 235 183 252 424 1,095 1,695 1996 1,955 2,079 1,764 1,320 736 356 212 209 256 554 1,256 1,894 1997 2,258 1,931 1,527 1,133 688 295 190 168 191 434 1,133 1,423 1998 1,874 1,531 1,436 935 480 286 230 204 198 475 1,016 1,427

372

Arizona Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 6,104 4,913 2,937 1,670 1,205 1,094 880 777 833 959 1,768 3,945 1990 5,994 5,582 4,035 2,197 1,427 1,145 931 856 926 1,044 1,711 4,473 1991 6,284 4,569 4,018 3,214 1,620 1,209 1,042 862 900 1,077 1,895 4,664 1992 5,598 4,220 3,589 2,313 1,207 1,132 947 815 870 1,000 1,576 5,118 1993 5,504 4,120 4,078 2,178 1,297 1,097 832 801 854 988 1,847 4,566 1994 5,663 5,158 3,659 2,142 1,443 1,116 899 806 851 1,053 2,024 4,869 1995 5,531 4,576 2,846 2,428 1,824 1,248 969 859 878 1,027 1,554 3,154 1996 5,443 4,221 3,366 2,155 1,328 1,089 916 836 900 1,082 2,322 4,051 1997 5,958 5,075 4,221 2,251 1,566 1,150 1,015 907 1,124 1,053 1,973 4,764

373

District of Columbia Natural Gas Residential Consumption (Million Cubic  

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

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 2,903 2,556 2,762 1,663 1,025 649 507 483 494 655 1,099 2,637 1990 3,258 2,193 1,984 1,522 849 596 490 433 435 542 1,005 1,828 1991 2,703 2,543 2,076 1,493 804 503 460 432 463 587 1,220 2,001 1992 2,683 2,829 2,172 1,820 948 630 469 420 446 642 1,314 2,213 1993 2,768 2,823 2,867 1,641 825 546 437 419 427 588 1,115 2,134 1994 3,317 3,018 2,437 1,402 725 527 427 389 403 547 928 1,746 1995 2,503 2,877 2,239 1,299 813 472 431 379 401 452 1,246 2,579 1996 3,302 3,083 2,376 1,712 807 582 412 380 401 578 1,252 2,406 1997 2,708 2,655 2,049 1,316 944 562 419 372 393 553 1,414 2,421 1998 2,417 2,372 2,038 1,198 638 436 372 328 340 459 1,088 1,563

374

South Dakota Natural Gas Residential Consumption (Million Cubic Feet)  

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

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 1,762 1,865 1,639 1,036 562 340 245 221 298 535 1,076 1,764 1990 1,769 1,529 1,293 959 600 346 231 215 237 527 973 1,524 1991 2,199 1,522 1,341 845 645 301 227 215 286 609 1,434 1,595 1992 1,639 1,497 1,202 996 638 321 265 254 315 602 1,267 1,797 1993 2,291 1,784 1,678 1,153 606 370 281 236 363 641 1,261 1,768 1994 2,234 2,249 1,558 1,034 603 270 181 259 274 503 1,098 1,794 1995 2,027 1,867 1,622 1,255 782 408 271 206 307 705 1,332 1,828 1996 2,343 2,221 1,865 1,367 803 464 239 231 316 578 1,414 2,243 1997 2,735 2,089 1,625 1,250 784 368 248 233 261 537 1,339 1,734 1998 2,196 1,666 1,738 1,127 508 304 274 227 248 533 1,157 1,669

375

Maryland Natural Gas Residential Consumption (Million Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 12,209 10,880 11,186 7,032 4,320 2,681 2,241 2,070 2,177 3,134 5,131 12,076 1990 13,718 8,971 8,796 6,861 3,558 2,659 2,203 1,986 2,069 2,672 4,832 8,102 1991 11,849 10,304 9,016 5,908 3,199 2,317 2,173 2,031 2,161 3,691 6,625 9,961 1992 12,442 11,583 9,717 7,087 4,007 2,577 2,153 2,068 2,027 4,038 6,855 10,567 1993 11,900 12,922 12,365 6,676 3,460 2,471 1,967 1,921 2,140 3,629 6,642 10,778 1994 15,481 14,047 10,751 5,905 3,732 2,579 2,032 1,903 2,164 3,356 5,425 9,314 1995 12,358 13,230 9,542 6,097 3,664 2,228 1,945 1,882 2,094 2,927 7,601 12,985 1996 15,942 14,280 11,806 7,257 4,136 2,709 2,139 2,064 2,207 3,738 7,828 11,426

376

Colorado Natural Gas Residential Consumption (Million Cubic Feet...  

Gasoline and Diesel Fuel Update (EIA)

Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 75,351 78,371 81,068 1970's 82,595 84,864 89,187 98,454 91,809 99,933 107,355 99,946 92,064...

377

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

modules." Thin Film Solar Technology 7409(1). Wilson-Wright,conservation and solar technology through tax credits. Alimited the ERP to non-solar technologies, in deference to

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

378

DOE/EIA-0207/2 Residential Energy Consumption Survey:  

Gasoline and Diesel Fuel Update (EIA)

IF HOUSEHOLD DOES NOT USE AND PAY FOR FUEL OIL OR KEROSENE, SKIP TO Q. 58. 49. How many tanks do you have for fuel oil or kerosene? 1 ONE 2 TWQ 3 THREE OR MORE ASK...

379

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

380

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

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

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

382

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

solar incentive programs, direct subsidies for energy efficiency audits and projects,solar contactors are not in business of selling energy efficiency, when in fact a hybrid projectprojects with an energy component likely for energy efficiency measures even more so than for solar

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

383

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

et al. (2005). Renewable energy policies and markets in theefficiency and renewable energy policy in the state. Inand Renewable Energy Technology and Policy. Washington,

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

384

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

Gasoline and Diesel Fuel Update (EIA)

characteristics tables + EXPAND ALL Fuels used & end uses Preliminary release date: March 28, 2011 Final release date: May 6, 2013 ZIP (all tables) by type of housing unit...

385

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

discussion. CEC & CPUC, Go Solar California: What Is The Newcan be found at Go Solar California, Download Current CSIAND FUNDING FOR THE CALIFORNIA SOLAR INITIATIVE. San

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

386

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

http://www.seia.org/cs/solar_policies/solar_investment_tax_how to design optimal solar policy as this market continuesWith favorable state policies, solar-PV finds itself on a

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

387

Solar Adoption and Energy Consumption in the Residential Sector  

E-Print Network [OSTI]

10 1.5. The Coordination of Solar and Energyintegration of solar and energy efficiency. Currentlytension between solar and energy efficiency remains much

McAllister, Joseph Andrew

2012-01-01T23:59:59.000Z

388

Marcelo A. Wood Marcelo A. Wood, Ph.D.  

E-Print Network [OSTI]

Marcelo A. Wood 1 Marcelo A. Wood, Ph.D. Curriculum Vitae June, 2013 Current Appointment: Associate, University of California, Irvine #12;Marcelo A. Wood 2 Teaching Experience: since joining UCI 2006, American College of Neuropsychopharmacology (ACNP) #12;Marcelo A. Wood 3 Journal/Editorial Review Service

Wood, Marcelo A.

389

Household operational energy consumption in urban China : a multilevel analysis on Jinan  

E-Print Network [OSTI]

With decades of economic growth and socio-economic transformation, China's residential sector has seen rapid expansion in energy consumption, and is now the second largest energy consuming sector in the country. Faced with ...

Wang, Dong, M.C.P. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

390

Developing Data-driven Models to Predict BEMS Energy Consumption for Demand Response Systems  

Science Journals Connector (OSTI)

Energy consumption prediction for building energy management systems (BEMS) is one of the key factors in the success of energy saving measures in modern building operation, either residential buildings or comm...

Chunsheng Yang; Sylvain Ltourneau; Hongyu Guo

2014-01-01T23:59:59.000Z

391

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

392

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

393

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

This chart highlights residential heating oil prices for the current and This chart highlights residential heating oil prices for the current and past heating season. As you can see, prices have started the heating season, about 40 to 50 cents per gallon higher than last year at this time. The data presented are from EIA's State Heating Oil and Propane Program. We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly. These data will also be used to determine the price trigger mechanism for the Northeast Heating Oil Reserve. The data are published at a State and regional level on our web site. The slide is to give you some perspective of what is happening in these markets, since you probably will get a number of calls from local residents about their heating fuels bills

394

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

395

WOOD RESEARCH 53 (4): 2008  

E-Print Network [OSTI]

1 WOOD RESEARCH 53 (4): 2008 1-12 CAMBIAL ACTIVITY AND WOOD FORMATION IN BEECH FAGUS SYLVATICA, Department of Wood Science and Technology, Ljubljana, Slovenia Jozica Griar Slovenian Forestry Institute (Fagus sylvatica), cambium, wood formation, cell differentiation, xylem growth rings, Gompertz function

Cufar, Katarina

396

WOOD RESEARCH 52 (2): 2007  

E-Print Network [OSTI]

1 WOOD RESEARCH 52 (2): 2007 1-10 WOOD FORMATION IN NORWAY SPRUCE PICEA ABIES STUDIED BY PINNING Zupani, Katarina Cufar, Primoz Oven University of Ljubljana, Biotechnical Faculty, Department of Wood methods for examining wood formation. Pinning induced desiccation of differentiated xylem, necrosis

Cufar, Katarina

397

Generating power with waste wood  

SciTech Connect (OSTI)

Among the biomass renewables, waste wood has great potential with environmental and economic benefits highlighting its resume. The topics of this article include alternate waste wood fuel streams; combustion benefits; waste wood comparisons; waste wood ash; pilot scale tests; full-scale test data; permitting difficulties; and future needs.

Atkins, R.S.

1995-02-01T23:59:59.000Z

398

Use-phase memory: A tool for the sustainable construction and renovation of residential buildings  

Science Journals Connector (OSTI)

Abstract Residents' usages and behavior play a determining role in the variability of the energy consumption and environmental impact of residential buildings during their use-phase. At present, however, they are inadequately documented and understood, as well as being highly variable. In this paper, we propose a use-phase memory model for residential buildings, whose aim is to store energy consumption and usage patterns. This storage can be done automatically or voluntarily. We give examples of useful information extracted from the data captured. The objective of this data analysis and synthesis is to provide building experts two specific use-cases: designing a new sustainable building, and renovating an existing one. Our model is deployed on a residential building, integrating the beneficial services for all stakeholders to demonstrate a sustainable relationship between designers, the residential building and the users.

Lucile Picon; Bernard Yannou; Toufic Zaraket; Stphanie Minel; Gwenola Bertoluci; Franois Cluzel; Romain Farel

2013-01-01T23:59:59.000Z

399

Building Technologies Office: About Residential Building Programs  

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

About Residential About Residential Building Programs to someone by E-mail Share Building Technologies Office: About Residential Building Programs on Facebook Tweet about Building Technologies Office: About Residential Building Programs on Twitter Bookmark Building Technologies Office: About Residential Building Programs on Google Bookmark Building Technologies Office: About Residential Building Programs on Delicious Rank Building Technologies Office: About Residential Building Programs on Digg Find More places to share Building Technologies Office: About Residential Building Programs on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat.

400

Wood Heating Fuel Exemption  

Broader source: Energy.gov [DOE]

This statute exempts from the state sales tax all wood or "refuse-derived" fuel used for heating purposes. The law does not make any distinctions about whether the qualified fuels are used for...

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

Woods for Health Strategy Woods for Health Strategy | 32 | Woods for Health Strategy  

E-Print Network [OSTI]

Strategy Woods for Health #12;Woods for Health Strategy Woods for Health Strategy | 32 | Woods for Health Strategy Foreword Like the rest of the western world, Scotland experiences growing rates a key role in helping to promote better physical and mental health for all by providing greenspace

402

Gregory H. Woods  

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

H. Woods H. Woods Department· of Energy Fermi Site Office Post Office Box 2000 Batavia, Illinois 60510 JAN 1 1 2DD Office of the General Counsel GC-1, FORS SUBJECT: FERMI SITE OFFICE (FSO) 2013 ANNUAL NATIONAL ENVIRONMENTAL POLICY ACT (NEPA) PLANNING SUMMARY Section 5(a) (7) of Department Of Energy Order 451.1 B Change 2, NEPA Compliance Program, requires each Secretarial Officer and Head of Field Organization to submit an annual NEPA

403

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

1 1 2005 Energy Expenditures per Household, by Housing Type and Square Footage ($2010) Per Household Single-Family 1.16 Detached 1.16 Attached 1.20 Multi-Family 1.66 2 to 4 units 1.90 5 or more units 1.53 Mobile Home 1.76 All Homes 1.12 Note(s): Source(s): 1) Energy expenditures per square foot were 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, Table US-1 part1; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for

404

Buildings Energy Data Book: 2.3 Residential Sector Expenditures  

Buildings Energy Data Book [EERE]

2 2 2005 Household Energy Expenditures, by Vintage ($2010) | Year | Prior to 1950 887 | 22% 1950 to 1969 771 | 22% 1970 to 1979 736 | 16% 1980 to 1989 741 | 16% 1990 to 1999 752 | 16% 2000 to 2005 777 | 9% | Average 780 | Total 100% Note(s): Source(s): 1.24 2,003 1) Energy expenditures per square foot were 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 for 2005 expenditures; and EIA, Annual Energy Review 2010, Oct. 2011, Appendix D, p. 353 for price inflators.

405

Residential and commercial buildings data book. Second edition  

SciTech Connect (OSTI)

This Data Book updates and expands the previous Data Book originally published by the Department of Energy in October, 1984 (DOE/RL/01830/16). Energy-related information is provided under the following headings: Characteristics of Residential Buildings in the US; Characteristics of New Single Family Construction in the US; Characteristics of New Multi-Family Construction in the US; Household Appliances; Residential Sector Energy Consumption, Prices, and Expenditures; Characteristics of US Commercial Buildings; Commercial Buildings Energy Consumption, Prices, and Expenditures; Additional Buildings and Community Systems Information. This Data Book complements another Department of Energy document entitled ''Overview of Building Energy Use and Report of Analysis-1985'' October, 1985 (DOE/CE-0140). The Data Book provides supporting data and documentation to the report.

Crumb, L.W.; Bohn, A.A.

1986-09-01T23:59:59.000Z

406

RECS Data Show Decreased Energy Consumption per Household  

Reports and Publications (EIA)

Total United States energy consumption in homes has remained relatively stable for many years as increased energy efficiency has offset the increase in the number and average size of housing units, according to the newly released data from the Residential Energy Consumption Survey (RECS). The average household consumed 90 million British thermal units (Btu) in 2009 based on RECS. This continues the downward trend in average residential energy consumption of the last 30 years. Despite increases in the number and the average size of homes plus increased use of electronics, improvements in efficiency for space heating, air conditioning, and major appliances have all led to decreased consumption per household. Newer homes also tend to feature better insulation and other characteristics, such as double-pane windows, that improve the building envelope.

2012-01-01T23:59:59.000Z

407

Energy Information Administration/Household Vehicles Energy Consumption 1994  

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

, , Energy Information Administration/Household Vehicles Energy Consumption 1994 ix Household Vehicles Energy Consumption 1994 presents statistics about energy-related characteristics of highway vehicles available for personal use by members of U.S. households. The data were collected in the 1994 Residential Transportation Energy Consumption Survey, the final cycle in a series of nationwide energy consumption surveys conducted during the 1980's and 1990's by the Energy Information Administrations. Engines Became More Powerful . . . Percent Distribution of Total Residential Vehicle Fleet by Number of Cylinders, 1988 and 1994 Percent Distribution of Vehicle Fleet by Engine Size, 1988 and 1994 Percent Percent 4 cyl Less than 2.50 liters 6 cyl 2.50- 4.49 liters 8 cyl 4.50 liters or greater 20 20 40 40 Vehicle

408

Seven Cities and a Utility Company Team Up to Deliver Residential Energy  

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

Seven Cities and a Utility Company Team Up to Deliver Residential Seven Cities and a Utility Company Team Up to Deliver Residential Energy Savings Seven Cities and a Utility Company Team Up to Deliver Residential Energy Savings August 1, 2011 - 5:26pm Addthis Check out this residential energy report, one of many that's helping residents all over King County, Washington save energy and money at home. Check out this residential energy report, one of many that's helping residents all over King County, Washington save energy and money at home. Joel Blaine In 2010, seven cities in King County, Washington -- known as the C-7 New Energy Partnership -- joined forces with local utility Puget Sound Energy (PSE) and energy management software company OPOWER to help nearly 100,000 residents reduce their home energy consumption. The program, which was made

409

Seven Cities and a Utility Company Team Up to Deliver Residential Energy  

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

Seven Cities and a Utility Company Team Up to Deliver Residential Seven Cities and a Utility Company Team Up to Deliver Residential Energy Savings Seven Cities and a Utility Company Team Up to Deliver Residential Energy Savings August 1, 2011 - 5:26pm Addthis Check out this residential energy report, one of many that's helping residents all over King County, Washington save energy and money at home. Check out this residential energy report, one of many that's helping residents all over King County, Washington save energy and money at home. Joel Blaine In 2010, seven cities in King County, Washington -- known as the C-7 New Energy Partnership -- joined forces with local utility Puget Sound Energy (PSE) and energy management software company OPOWER to help nearly 100,000 residents reduce their home energy consumption. The program, which was made

410

Energy Data Sourcebook for the U.S. Residential Sector  

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

Data Sourcebook for the U.S. Residential Sector Data Sourcebook for the U.S. Residential Sector Title Energy Data Sourcebook for the U.S. Residential Sector Publication Type Report LBNL Report Number LBNL-40297 Year of Publication 1997 Authors Wenzel, Thomas P., Jonathan G. Koomey, Gregory J. Rosenquist, Marla C. Sanchez, and James W. Hanford Date Published 09/1997 Publisher Lawrence Berkeley National Laboratory City Berkeley, CA ISBN Number LBNL-40297, UC-1600 Keywords Enduse, Energy End-Use Forecasting, EUF Abstract Analysts assessing policies and programs to improve energy efficiency in the residential sector require disparate input data from a variety of sources. This sourcebook, which updates a previous report, compiles these input data into a single location. The data provided include information on end-use unit energy consumption (UEC) values of appliances and equipment; historical and current appliance and equipment market shares; appliance and equipment efficiency and sales trends; appliance and equipment efficiency standards; cost vs. efficiency data for appliances and equipment; product lifetime estimates; thermal shell characteristics of buildings; heating and cooling loads; shell measure cost data for new and retrofit buildings; baseline housing stocks; forecasts of housing starts; and forecasts of energy prices and other economic drivers. This report is the essential sourcebook for policy analysts interested in residential sector energy use. The report can be downloaded from the Web at http://enduse.lbl.gov/Projects/RED.html. Future updates to the report, errata, and related links, will also be posted at this address.

411

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.

412

Post-Retrofit Residential Assessments  

SciTech Connect (OSTI)

This study examined a range of factors influencing energy consumption in households that had participated in residential energy-efficiency upgrades. The study was funded by a grant from the U.S. Department of Energys Pacific Northwest National Laboratory and was conducted by faculty and staff of Portland State University Center for Urban Studies and Department of Economics. This work was made possible through the assistance and support of the Energy Trust of Oregon (ETO), whose residential energy-efficiency programs provided the population from which the sample cases were drawn. All households in the study had participated in the ETO Home Performance with Energy Star (HPwES) program. A number of these had concurrently pursued measures through other ETO programs. Post-retrofit energy outcomes are rarely investigated on a house-by-house basis. Rather, aggregate changes are ordinarily the focus of program impact evaluations, with deviation from aggregate expectations chalked up to measurement error, the vagaries of weather and idiosyncrasies of occupants. However, understanding how homes perform post-retrofit on an individual basis can give important insights to increase energy savings at the participant and the programmatic level. Taking a more disaggregated approach, this study analyzed energy consumption data from before and after the retrofit activity and made comparisons with engineering estimates for the upgrades, to identify households that performed differently from what may have been expected based on the estimates. A statistical analysis using hierarchal linear models, which accounted for weather variations, was performed looking separately at gas and electrical use during the periods before and after upgrades took place. A more straightforward comparison of billing data for 12-month periods before and after the intervention was also performed, yielding the majority of the cases examined. The later approach allowed total energy use and costs to be assessed but did not account for weather variation. From this statistical analysis, 18 study participants were selected and interviewed. The participants completed an in-home interview covering a range of topics, including changes in occupancy and additional changes to the homes that may have affected energy use. The goal of the interviews was to identify factors that may have contributed to unusual energy performance. These factors were identified by their frequency of occurrence in outperforming or underperforming homes, or simply by identifying factors that had the largest impact on overall savings. The motivations and levels of satisfaction with the outcomes of the upgrades were covered in detail, as well as extensive discussions of behaviors pertaining to thermal control, lighting, water, and appliance use. Most of cases studied achieved substantial energy savings, although it was more common for the projected savings to be greater than the demonstrated savings. Two factors that played a very large role in savings variation were 1) changes in occupancy and 2) fenestration improvements outside of the incentive programs. Motivation for pursuing the upgrades (e.g., environmental sustainability vs. comfort or cost savings) did not seem to play any role in achieving savings. Participants generally were more concerned with maintaining aesthetics through lighting than comfort through heating or cooling. They also seemed more likely to turn the lights off when leaving a room than to turn the heat off when leaving the home.

Lancaster, Ross; lutzenhiser, Loren; Moezzi, Mithra; Widder, Sarah H.; Chandra, Subrato; Baechler, Michael C.

2012-04-30T23:59:59.000Z

413

Wye Wood: the wider wood : A project description and evaluation page 1 January 2007  

E-Print Network [OSTI]

Wye Wood: the wider wood : A project description and evaluation page 1 January 2007 Wye Wood: the wider wood A project description and evaluation Report written by: Dr Frances Howie Associate Director Parrott Health Development Worker, Wye Wood: the wider wood #12;Wye Wood: the wider wood : A project

414

Residential appliances technology atlas  

SciTech Connect (OSTI)

Residential appliance technology and efficiency opportunities for refrigerators and freezers, cooking appliances, clothes washers and dryers, dishwashers, and some often-ignored household devices such as spas, pool pumps, waterbed heaters, televisions, and home computers are thoroughly covered in this Atlas. The US appliance market, fuel shares, efficiency standards, labeling, and advances in home automation, design for recycling, and CFC issues are also discussed. The resource section contains lists of appliance manufacturers and distributors, and trade, professional, and governmental organizations, a summary of key resources for further information, and an index.

NONE

1994-12-31T23:59:59.000Z

415

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

416

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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

417

All Consumption Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 3. Energy Consumption per Capita by End-Use Sector, Ranked by State, 2011 Rank Residential Sector Commercial Sector Industrial Sector Transportation Sector Total Consumption State Million Btu State Million Btu State Million Btu State Million Btu State Million Btu 1 North Dakota 99.8 District of Columbia 193.1 Louisiana 585.8 Alaska 277.3 Wyoming 974.7 2 West Virginia 90.9 Wyoming 119.2 Wyoming 568.2 Wyoming 200.7 Louisiana 886.5 3 Missouri 89.4 North Dakota 106.9 Alaska 435.7 North Dakota 172.8 Alaska 881.3 4 Tennessee 87.8 Alaska 94.1 North Dakota 388.9 Louisiana 158.0 North Dakota 768.4 5 Kentucky 87.4 Montana 78.4 Iowa 243.4 Oklahoma 122.3 Iowa 493.6

418

Household vehicles energy consumption 1994  

SciTech Connect (OSTI)

Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

NONE

1997-08-01T23:59:59.000Z

419

Energy Information Administration - Transportation Energy Consumption by  

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

Energy Consumption Energy Consumption Transportation Energy Consumption Surveys energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the surveys can be divided into two broad groups: supply surveys, directed to the suppliers and marketers of specific energy sources, that measure the quantities of specific fuels produced for and/or supplied to the market; and consumption surveys, which gather information on the types of energy used by consumer groups along with the consumer characteristics that are associated with energy use. In the transportation sector, EIA's core consumption survey was the Residential Transportation Energy Consumption Survey. RTECS belongs to the consumption group because it collects information directly from the consumer, the household. For roughly a decade, EIA fielded the RTECS--data were first collected in 1983. This survey, fielded for the last time in 1994, was a triennial survey of energy use and expenditures, vehicle miles-traveled (VMT), and vehicle characteristics for household vehicles. For the 1994 survey, a national sample of more than 3,000 households that own or use some 5,500 vehicles provided data.

420

Potential of enzymes for wood debarking  

SciTech Connect (OSTI)

The effect of enzymatic pretreatment on the energy consumption of wood debarking was studied on the laboratory scale using enzymes to degrade the cambial layer. The energy consumed in debarking spruce was decreased as much as 80% after pretreatment with pectinolytic enzymes. In addition to polygalacturonase activity, pectin lyase and xylanase activities were also present in the most efficient enzyme preparation. Due to the complex composition of the cambium and inner phloem, these and other enzymes that hydrolyze the various inner bark components are probably needed for efficient debarking.

Raettoe, M.; Kantelinen, A.; Bailey, M.; Viikari, L. (VTT Biotechnical Lab., Espoo (Finland))

1993-02-01T23:59:59.000Z

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

Residential photovoltaic systems costs  

SciTech Connect (OSTI)

A study of costs associated with the installation and operation of a residential photovoltaic system has been conducted to determine present and projected (1986) status. As a basis for the study, a residential photovoltaic system design projected for 1986 was assumed, consisting of two principal components: a roof-mounted array and a utility-interactive inverter. The scope of the study encompassed both silicon and cadmium sulfide photovoltaic modules. Cost estimates were obtained by a survey and study of reports generated by companies and agencies presently active in each of the subsystem area. Where necessary, supplemental estimates were established as part of this study. The range of estimates for silicon-based systems strongly suggest that such systems will be competitive for new installations and reasonably competitive for retrofit applications. The cadmium-sulfide-based system cost estimates, which are less certain than those for silicon, indicate that these systems will be marginally competitive with silicon-based systems for new construction, but not competitive for retrofit applications. Significant variations from the DOE system price sub-goals were found, however, particularly in the areas of array mounting, wiring and cleaning. Additional development work appears needed in these areas.

Cox, C.H. III

1980-01-01T23:59:59.000Z

422

Building Technologies Office: Residential Building Activities  

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

Residential Building Residential Building Activities to someone by E-mail Share Building Technologies Office: Residential Building Activities on Facebook Tweet about Building Technologies Office: Residential Building Activities on Twitter Bookmark Building Technologies Office: Residential Building Activities on Google Bookmark Building Technologies Office: Residential Building Activities on Delicious Rank Building Technologies Office: Residential Building Activities on Digg Find More places to share Building Technologies Office: Residential Building Activities on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Guidelines for Home Energy Professionals

423

Fact Sheet: Better Buildings Residential Network  

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

bbrn What Is the Residential Network? The Better Buildings Residential Network connects energy efficiency programs and partners to share best practices and learn from one another...

424

Residential Energy Efficiency Technical Update Meeting: August...  

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

Residential Energy Efficiency Technical Update Meeting: August 2011 Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link to the summary...

425

Residential Energy Efficiency Customer Service Best Practices...  

Energy Savers [EERE]

Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call Residential Energy Efficiency Customer Service Best Practices Peer Exchange Call January 22, 2015...

426

Building America Residential Energy Efficiency Technical Update...  

Energy Savers [EERE]

Residential Energy Efficiency Technical Update Meeting: August 2011 Building America Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link...

427

Optimal Sizing for Residential CHP System  

Science Journals Connector (OSTI)

Residential CHP systems have been introduced around Japan recently, ... the process of boosting the adoption of residential CHP systems, both manufacturers and customers are interested...

Hongbo Ren; Weijun Gao; Yingjun Ruan

2007-01-01T23:59:59.000Z

428

Building America Residential Buildings Energy Efficiency Meeting...  

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

Residential Buildings Energy Efficiency Meeting: July 2010 Building America Residential Buildings Energy Efficiency Meeting: July 2010 On this page, you may link to the summary...

429

Quality Assurance for Residential Retrofit Programs | Department...  

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

Quality Assurance for Residential Retrofit Programs Quality Assurance for Residential Retrofit Programs Blue version of the EERE PowerPoint template, for use with PowerPoint 2007....

430

Better Buildings Residential Network | Department of Energy  

Energy Savers [EERE]

more. Residential Network Members Welcome Our Newest Members Cascadia Consulting Group Johnson Environmental The Building Performance Center, Inc. *Residential Network members that...

431

Residential energy gateway system in smart grid.  

E-Print Network [OSTI]

??This project discusses about the residential energy gateway in the Smart Grid. A residential energy gateway is a critical component in the Home Energy Management (more)

Thirumurthy, Vinod Govindswamy

2010-01-01T23:59:59.000Z

432

Better Buildings Residential Network Orientation Peer Exchange...  

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

Better Buildings Residential Network Orientation Peer Exchange Webinar Better Buildings Residential Network Orientation Peer Exchange Webinar September 11, 2014 7:00PM to 8:3...

433

Better Buildings Residential Network Membership Form | Department...  

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

Network Membership Form Better Buildings Residential Network Membership Form Membership form from the U.S. Department of Energy's Better Buildings Residential Network Recommended...

434

Precision wood particle feedstocks  

DOE Patents [OSTI]

Wood particles having fibers aligned in a grain, wherein: the wood particles are characterized by a length dimension (L) aligned substantially parallel to the grain, a width dimension (W) normal to L and aligned cross grain, and a height dimension (H) normal to W and L; the L.times.H dimensions define two side surfaces characterized by substantially intact longitudinally arrayed fibers; the W.times.H dimensions define two cross-grain end surfaces characterized individually as aligned either normal to the grain or oblique to the grain; the L.times.W dimensions define two substantially parallel top and bottom surfaces; and, a majority of the W.times.H surfaces in the mixture of wood particles have end checking.

Dooley, James H; Lanning, David N

2013-07-30T23:59:59.000Z

435

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

436

Residential Ventilation & Energy  

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

5 5 Residential Ventilation & Energy Figure 1: Annual Average Ventilation Costs of the Current U.S. Single-Family Housing Stock ($/year/house). Infiltration and ventilation in dwellings is conventionally believed to account for one-third to one-half of space conditioning energy. Unfortunately, there is not a great deal of measurement data or analysis to substantiate this assumption. As energy conservation improvements to the thermal envelope continue, the fraction of energy consumed by the conditioning of air may increase. Air-tightening programs, while decreasing energy requirements, have the tendency to decrease ventilation and its associated energy penalty at the possible expense of adequate indoor air quality. Therefore, more energy may be spent on conditioning air.

437

Woods In and Around Towns: Phase II  

E-Print Network [OSTI]

Policy WIAT Woods In and Around Towns: Phase II #12;2 | Woods In and Around Towns: Phase II working with Forestry Commission Scotland on Woods In and Around Towns #12;Woods In and Around Towns: Phase II Woods In and Around Towns: Phase II | 3 What is this about? The Woods In and Around Towns (WIAT) Programme provides

438

April, 2006 Allen W. Wood  

E-Print Network [OSTI]

1 April, 2006 Vita Allen W. Wood Academic Address: Philosophy Department, Bldg 90 Stanford University Stanford, CA 94305-2155 Telephone 650-723-2587 Fax 650-723-0985 E-mail: Allen.Wood University, 1999-2000. Professor of Philosophy, Stanford University, 1999-2001 Ward W. and Priscilla B. Woods

Zalta, Edward N.

439

Inaugural 2012 Kristie Ann Wood  

E-Print Network [OSTI]

Inaugural 2012 Kristie Ann Wood Scholarship Award Call for Nominations We are delighted to announce the Inaugural 2012 Kristie Ann Wood Scholarship Award for an Outstanding Women's, Gender, and Sexualities (WGSS Wood, a feminist mother, wife, friend, daughter, and lawyer who is remembered by her loved ones

Alpay, S. Pamir

440

Environmental Impacts of Treated Wood  

E-Print Network [OSTI]

Environmental Impacts of Treated Wood 6495_C000.fm Page iii Wednesday, February 1, 2006 5:48 PM #12 associated with treated wood. Bill Hinkley died on September 12, 2005, shortly before the completion received contributions from many of the world's leading scientists on the subject of treated wood, and we

Florida, University of

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

The Asian Wood Pellet Markets  

E-Print Network [OSTI]

The Asian Wood Pellet Markets Joseph A. Roos and Allen M. Brackley United States Department.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Alaska Wood Utilization Wood Pellet plant in North Pole, Alaska. Clockwise from upper left: pelleting machine; pellets bagged

442

Externality of Consumption  

Science Journals Connector (OSTI)

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

2008-01-01T23:59:59.000Z

443

The Impact of Blowing Agents on Residential Water Heater Performance  

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

The Impact of Blowing Agents on Residential Water Heater Performance The Impact of Blowing Agents on Residential Water Heater Performance Title The Impact of Blowing Agents on Residential Water Heater Performance Publication Type Report LBNL Report Number LBNL-47352 Year of Publication 2001 Authors Lekov, Alexander B., James D. Lutz, Camilla Dunham Whitehead, and James E. McMahon Document Number LBNL-47352 Date Published January 12 Abstract The National Appliance Energy Conservation Act of 1987 (NAECA) requires the U.S. Department of Energy (DOE) to consider amendments to the energy conservation standards to increase energy efficiency in residential water heaters. A driving force affecting efficiency is the ozone-depletion regulation regarding blowing agents for insulation in all water heater fuel types. This paper presents results of cost and efficiency impacts of three potential blowing agents. Residential water heaters are typically insulated with polyurethane foam in the space between the tank and the jacket. Currently, water heater manufacturers use HCFC-141b, an ozone-depleting substance, as a blowing agent. After 2003, as a result of the Montreal Protocol (1993), manufacturers must use blowing agents that do not deplete the ozone layer. The analysis presented in this paper considers three replacement candidates, HFC-245fa, HFC-134a, and cyclopentane by comparing their efficiency and cost effectiveness when applied to water heater insulation. This analysis used computer simulation models and other analytical methods to investigate the efficiency improvements due to different design options, when alternative blowing agents are applied. The calculations were based on the DOE test procedure for residential water heaters. The analysis used average manufacturer, retailer, and installer costs to calculate the total consumer costs. Consumer operating expenses were calculated based on modeled energy consumption under test procedure conditions and U.S. average energy prices. With this information, a cost-efficiency relationship was developed to show the average manufacturer and consumer cost to achieve increased efficiency.

444

The Wood Duck  

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

Wood Duck Wood Duck Nature Bulletin No. 502-A October 13, 1973 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation THE WOOD DUCK Of all the fowl that swim, the Wood Duck is a most unusual bird. They perch in trees like jaybirds, and nest in tree holes like woodpeckers. The hens do not quack like the females of most ducks, and the drakes are dressed in a riot of gaudy colors. Each summer we see dozens of them -- more than any other kind of wild duck -- rear their families of ducklings on and around the streams, ponds, lakes and sloughs of Cook County's forest preserves. Words can scarcely describe the brilliance of the drake's plumage. The head, crest and back glint with iridescent greens, purples and blues. The eyes are red, the throat white, and the bill orange-red. The breast is wine-colored flecked with white, the belly is white, and the sides are buff. The woodie is about midway in size between the mallard and the blue-winged teal. The drakes weigh about a pound and a half. The hen is smaller and plainer, with a gray-brown head and body, a white throat, and a conspicuous white ring around the eye. Her voice is a shrill, squealing "whoo-eek", while the male's is a mere squeak.

445

Rheological Model for Wood  

E-Print Network [OSTI]

Wood as the most important natural and renewable building material plays an important role in the construction sector. Nevertheless, its hygroscopic character basically affects all related mechanical properties leading to degradation of material stiffness and strength over the service life. Accordingly, to attain reliable design of the timber structures, the influence of moisture evolution and the role of time- and moisture-dependent behaviors have to be taken into account. For this purpose, in the current study a 3D orthotropic elasto-plastic, visco-elastic, mechano-sorptive constitutive model for wood, with all material constants being defined as a function of moisture content, is presented. The corresponding numerical integration approach, with additive decomposition of the total strain is developed and implemented within the framework of the finite element method (FEM). Moreover to preserve a quadratic rate of asymptotic convergence the consistent tangent operator for the whole model is derived. Functionality and capability of the presented material model are evaluated by performing several numerical verification simulations of wood components under different combinations of mechanical loading and moisture variation. Additionally, the flexibility and universality of the introduced model to predict the mechanical behavior of different species are demonstrated by the analysis of a hybrid wood element. Furthermore, the proposed numerical approach is validated by comparisons of computational evaluations with experimental results.

Mohammad Masoud Hassani; Falk K. Wittel; Stefan Hering; Hans J. Herrmann

2014-10-15T23:59:59.000Z

446

Woods on Private Estates  

Science Journals Connector (OSTI)

... of Estate Woodlands". Mr. Orde-Powlett first dealt with the value of the existing private woods to Great Britain during the Great War, pointing out that although the Forestry ... can afford to give adequate pay to the staff maintained. Since the majority of the private woodlands are not run on business lines they are under-staffed. If properly run, ...

1937-11-06T23:59:59.000Z

447

Wood Energy in America  

Science Journals Connector (OSTI)

...hydroelectric, geothermal, and biomass sources...to the city's district energy system (7...of wood fuel for heating and cooling of buildings...and dependence on heating oil (21), but...transitions to AWC heating and cooling are technically...Third, expand district-energy systems...

Daniel deB. Richter; Jr.; Dylan H. Jenkins; John T. Karakash; Josiah Knight; Lew R. McCreery; Kasimir P. Nemestothy

2009-03-13T23:59:59.000Z

448

Pervasive Externalities at the Population, Consumption, and Environment Nexus  

Science Journals Connector (OSTI)

...size and n* the average family size of the...equilibrium, the average of all the households...hand, nor is wood fuel easily accessible...recede. The relative prices of alternative...denoted by X: the average consumption level of...N is large, the effect of household hs choice...

Partha S. Dasgupta; Paul R. Ehrlich

2013-04-19T23:59:59.000Z

449

Household Vehicles Energy Consumption 1994 - Appendix C  

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

Introduction This appendix discusses several issues relating to the quality of the Residential Transportation Energy Consumption Survey (RTECS) data and to the interpretation of conclusions based on these data. The first section discusses undercoverage of the vehicle stock in the residential sector. The second section discusses the effects of using July 1994 as a time reference for the survey. The remainder of this appendix discusses the treatment of sampling and nonsampling errors in the RTECS, the quality of specific data items such as the Vehicle Identification Number (VIN) and fuel prices, and poststratification procedures used in the 1994 RTECS. The quality of the data collection and the processing of the data affects the accuracy of estimates based on survey data. All the statistics

450

Better Buildings Neighborhood Program: Better Buildings Residential  

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

Better Better Buildings Residential Network-Current Members to someone by E-mail Share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Facebook Tweet about Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Twitter Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Google Bookmark Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Delicious Rank Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on Digg Find More places to share Better Buildings Neighborhood Program: Better Buildings Residential Network-Current Members on AddThis.com...

451

EIA - International Energy Outlook 2007-Energy Consumption by End-Use  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End Use Sector Energy Consumption by End Use Sector International Energy Outlook 2007 Figure 25. OECD and Non-OECD Transportation Sector Delivered Energy Consumption, 2004-2030 Figure 25 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 26. OECD and Non-OECD Residential Sector Delivered Energy Consumption, 2004-2030 Figure 26 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 27. Growth in OECD and Non-OECD Residential Sector Delivered Energy Consumption by Fuel, 2004 and 2030 Figure 27 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 28. OECD and Non-OECD Commercial Sector Delivered Energy Consumption, 2004-2030 Figure 28 Data. Need help, contact the National Energy Information Center at 202-586-8800.

452

Prospects of energy savings in residential space heating  

Science Journals Connector (OSTI)

This paper presents some insight to the problem of heating of housing in Jordan. Residential space and water heating are dependent particularly upon the combustion of fossil fuels, which thereby contribute significantly to air pollution and the build-up of carbon dioxide in the atmosphere. The results of a recent survey were used to evaluate the energy demand and conservation in Jordanian residential buildings. Space heating accounts for 61% of the total residential energy consumption with kerosene being the most popular fuel used, followed by liquefied petroleum gas (LPG), for heating purposes. Unvented combustion appliances employed to provide space heating produce high levels of combustion by-products that often exceed acceptable concentrations, degraded indoor air quality and cause unnecessary exposure to toxic gases such as carbon monoxide. During 1999, the number of accidents in households due to the use of different energy forms accounted for about 40% of all accidents, except road accidents, in Jordan. In light of the fact that only 5% of dwellings in Jordan have been provided with wall insulation and none employ roof insulation, the overall heat transfer coefficients, and consequently heating loads, were estimated for a typical single house using different constructions for external walls. It is concluded that space heating load can be reduced by about 50%, when economically-viable insulating measures are applied to the building envelopes, i.e. to ceilings and walls. These lead to corresponding reductions in fossil fuels consumption and in emissions of air pollutants.

Jamal O Jaber

2002-01-01T23:59:59.000Z

453

SMUD's Residential Summer Solutions Study  

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

SMUD's Residential Summer Solutions Study SMUD's Residential Summer Solutions Study Speaker(s): Karen Herter Date: August 26, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page In 2009, the DRRC and SMUD teamed up to test the use of dynamic pricing and communicating thermostats in the small commercial sector. The final results showed summer energy savings of 20%, event impacts of 14%, and bill savings of 25%. In 2011, the same team will conduct a similar study involving residential customers with interval meters. The study is designed to inform the transition to the Sacramento smart grid through experimentation with real-time energy use data and communicating thermostats, both with and without dynamic pricing. Three randomly chosen groups of residential customers were offered one of three equipment configuration treatments: (a)

454

Winter Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Residential heating oil prices reflect a similar pattern to that shown in spot prices. However, like other retail petroleum prices, they tend to lag changes in wholesale prices in both directions, with the result that they don't rise as rapidly or as much, but they take longer to recede. This chart shows the residential heating oil prices collected under the State Heating Oil and Propane Program (SHOPP), which only runs during the heating season, from October through March. The spike in New York Harbor spot prices last winter carried through to residential prices throughout New England and the Central Atlantic states. Though the spike actually lasted only a few weeks, residential prices ended the heating season well above where they had started.

455

Residential propane price decreases slightly  

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

propane price decreases slightly The average retail price for propane is 2.38 per gallon, down 3-tenths of a cent from last week, based on the residential heating fuel survey by...

456

Residential heating oil prices decline  

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

propane price increase slightly The average retail price for propane is 2.41 per gallon, up 1-tenth of a cent from last week, based on the residential heating fuel survey by the...

457

Residential heating oil price decreases  

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

05, 2014 Residential heating oil price decreases The average retail price for home heating oil fell 1.9 cents from a week ago to 3.43 per gallon. That's down 39 cents from a year...

458

Residential heating oil price decreases  

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

4 Residential heating oil price decreases The average retail price for home heating oil fell 1.6 cents from a week ago to 3.42 per gallon. That's down 39.5 cents from a year ago,...

459

Residential heating oil prices increase  

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

5, 2014 Residential heating oil prices increase The average retail price for home heating oil rose 6.5 cents from a week ago to 4.24 per gallon. That's up 14.9 cents from a year...

460

Residential heating oil price decreases  

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

6, 2014 Residential heating oil price decreases The average retail price for home heating oil rose 1.6 cents from a week ago to 4.24 per gallon. That's up 8.9 cents from a year...

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


461

Residential heating oil prices increase  

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

3, 2014 Residential heating oil prices increase The average retail price for home heating oil rose 4.4 cents from a week ago to 4.06 per gallon. That's up 4.1 cents from a year...

462

Residential heating oil prices decline  

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

heating oil prices decline The average retail price for home heating oil is 3.48 per gallon. That's down 4.5 cents from a week ago, based on the residential heating fuel survey by...

463

Residential heating oil prices decrease  

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

5, 2014 Residential heating oil prices decrease The average retail price for home heating oil fell 1.8 cents from a week ago to 4.00 per gallon. That's down 2-tenths of a cent...

464

Residential heating oil prices available  

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

ago, based on the U.S. Energy Information Administration's weekly residential heating fuel price survey. Heating oil prices in the New England region are at 3.48 per gallon,...

465

Assumptions to the Annual Energy Outlook 2000 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—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 (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

466

Table N5.1. Selected Byproducts in Fuel Consumption, 1998  

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

1. Selected Byproducts in Fuel Consumption, 1998;" 1. Selected Byproducts in Fuel Consumption, 1998;" " Level: National Data and Regional Totals; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," ","Waste"," ",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars","RSE" "NAICS"," "," ","Furnace/Coke"," ","Petroleum","or","Wood Chips,","and Waste","Row"

467

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

468

Population, Consumption & the Environment  

E-Print Network [OSTI]

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

Columbia University

469

Residential Commercial Industrial Year  

Gasoline and Diesel Fuel Update (EIA)

4 4 Residential Commercial Industrial Year and State Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers Volume (million cubic feet) Consumers 2000 Total ................... 4,996,179 59,252,728 3,182,469 5,010,817 8,142,240 220,251 2001 Total ................... 4,771,340 60,286,364 3,022,712 4,996,446 7,344,219 217,026 2002 Total ................... 4,888,816 61,107,254 3,144,169 5,064,384 7,507,180 205,915 2003 Total ................... R 5,079,351 R 61,871,450 R 3,179,493 R 5,152,177 R 7,150,396 R 205,514 2004 Total ................... 4,884,521 62,469,142 3,141,653 5,135,985 7,250,634 212,191 Alabama ...................... 43,842 806,175 26,418 65,040 169,135 2,800 Alaska.......................... 18,200 104,360 18,373 13,999 46,580 10 Arizona ........................

470

Water and Energy Wasted During Residential Shower Events: Findings from a  

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

Water and Energy Wasted During Residential Shower Events: Findings from a Water and Energy Wasted During Residential Shower Events: Findings from a Pilot Field Study of Hot Water Distribution Systems Speaker(s): James Lutz Date: October 18, 2011 - 12:00pm Location: 90-3122 Heating water is one of the most energy-consumptive activities in a household, accounting for about 49 percent of California's residential natural gas consumption. Data collected during a pilot field study in California indicate that significant amounts of water and energy are wasted while waiting for hot water to be delivered to the point of end use. We calculate the water and energy wasted during shower events from data collected using a wireless sensor network that monitored water flows and temperatures in three single-family residences. The total calculated water

471

Residential Energy-Efficient Technology Adoption, Energy Conservation, Knowledge, and Attitudes: An Analysis of European Countries  

E-Print Network [OSTI]

,000 households in ten EU countries and Norway. Knowledge of energy consumption and energy-efficient technology1 Residential Energy-Efficient Technology Adoption, Energy Conservation, Knowledge, and Attitudes of measures of household energy use behavior are estimated using a unique dataset of approximately 5

Paris-Sud XI, Université de

472

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

473

"2012 Average Monthly Bill- Residential"  

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

Residential" Residential" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",6203726,634.13095,15.713593,99.644755 "Connecticut",1454651,730.85302,17.343298,126.75402 "Maine",703770,530.56349,14.658797,77.774225 "Massachusetts",2699141,627.15845,14.912724,93.52641 "New Hampshire",601697,614.81776,16.070168,98.802249 "Rhode Island",435448,597.34783,14.404061,86.042344 "Vermont",309019,565.03618,17.006075,96.090478 "Middle Atlantic",15727423,700.63673,15.272654,107.00582

474

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

475

Residential Retrofit Design Guide Overview | Department of Energy  

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

Residential Retrofit Design Guide Overview Residential Retrofit Design Guide Overview Residential Retrofit Design Guide Overview Webinar. Res Retro Design Guide Webinar 5-3-11...

476

NREL Residential Buildings Group Partners - Datasets - OpenEI...  

Open Energy Info (EERE)

Residential Buildings ... Dataset Activity Stream NREL Residential Buildings Group Partners This spreadsheet contains a list of all the companies with which NREL's Residential...

477

Sorption of organic gases in residential bedrooms and bathrooms  

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

Sorption of organic gases in residential bedrooms and bathrooms Sorption of organic gases in residential bedrooms and bathrooms Title Sorption of organic gases in residential bedrooms and bathrooms Publication Type Conference Paper LBNL Report Number LBNL-56787 Year of Publication 2005 Authors Singer, Brett C., Alfred T. Hodgson, Toshifumi Hotchi, Katherine Y. Ming, Richard G. Sextro, Emily E. Wood, and Nancy J. Brown Conference Name Proceedings of the 10th International Conference on Indoor Air Quality and Climate - Indoor Air 2005 Volume 2(9) Publisher Tsinghua University Press Conference Location Beijing, China Abstract Experiments were conducted to characterize organic gas sorption in residential bedrooms (n=4), bathrooms (n=2), and a furnished test chamber. Rooms were studied "as-is" with material surfaces and furnishings unaltered. Surface materials were characterized and areas quantified. Experiments included rapid volatilization of a volatile organic compound (VOC) mixture with the room closed and sealed for a 5-h Adsorb phase, followed by 30-min Flush and 2-h closed-room Desorb phases. The mixture included n-alkanes, aromatics, glycol ethers, 2-ethyl-1-hexanol, dichlorobenzene, and organophosphorus compounds. Measured gas-phase concentrations were fit to three variations of a mathematical model that considers sorption occurring at one surface sink and one potential embedded sink. The 2-parameter sink model tracked measurements for most compounds, but improved fits were obtained for some VOCs with a 3-parameter sink-diffusion or a 4-parameter two-sink model. Sorptive partitioning and initial adsorption rates increased with decreasing vapour pressure within each chemical class.

478

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

479

Building Technologies Office: Residential Dishwashers, Dehumidifiers, and  

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

Residential Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting to someone by E-mail Share Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Facebook Tweet about Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Twitter Bookmark Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR Public Meeting on Google Bookmark Building Technologies Office: Residential Dishwashers, Dehumidifiers, and Cooking Products, and Commercial Clothes Washers ANOPR

480

Better Buildings Neighborhood Program: Residential Energy Efficiency  

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

Residential Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 to someone by E-mail Share Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Facebook Tweet about Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Twitter Bookmark Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Google Bookmark Better Buildings Neighborhood Program: Residential Energy Efficiency Solutions: From Innovation to Market Transformation Conference, July 2012 on Delicious

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

Dynamic loss properties of wood  

Science Journals Connector (OSTI)

Internal friction and dielectric lossmeasurements have been made on whole wood on cellulose and on lignin. A prominent ? peak is seen at 200 K for frequencies around 1 Hz. This peak shifts to lower temperatures (near 160 K) when wood is heated to 475 K. We propose that this shift signifies molecular changes characteristic of the first stages of coalification of wood and lignin. Additional comparisons are made with the macromolecular structure of amber oil shale and synthetic polymers.

C. A. Wert; Manford Weller; Dan Caulfield

1984-01-01T23:59:59.000Z

482

Cost-effective and comfort-aware residential energy management under different pricing schemes and weather conditions  

Science Journals Connector (OSTI)

Abstract Nowadays with the emerging of smart micro-grids(SM-Gs) in residential sectors, a large portion of energy consumption can be saved through optimal scheduling of household devices and management of domestic hybrid energy sources. By the aid of such technologies, residential consumers have the capability to mitigate their energy costs and satisfy their own requirements paying less attention to the configuration of the energy supply system. This paper presents a novel residential energy management system (REMS) to improve the efficiency of energy consumption in a typical SM-G taking into account minimum cost of energy as well as maximum user's comfort level as competitive objectives. The optimization model is also formulated as a mixed integer nonlinear problem (MINLP) and its performance is tested under different operating scenarios with real data. The simulation results show that the proposed model not only reduces energy consumption costs, but also ensures a comfortable lifestyle for occupants.

Amjad Anvari-Moghaddam; Hassan Monsef; Ashkan Rahimi-Kian

2015-01-01T23:59:59.000Z

483

SOME POV-RAY TEXTURES AND COLORS T_Wood1 to T_Wood35  

E-Print Network [OSTI]

SOME POV-RAY TEXTURES AND COLORS WOODS.INC T_Wood1 to T_Wood35 STONES.INC T_Stone1 to T_Stone44Pink DarkPurple NeonBlue CoolCopper MandarinOrange LightWood MediumWood DarkWood SpicyPink Semi

Lee, Carl

484

Isocyanate-Wood Adhesive Bond  

Science Journals Connector (OSTI)

We have used infrared spectroscopy to study the reaction between phenyl isocyanate and glucose, cellulose, lignin, and wood. In the latter instance we have investigated oven-dried...

Weaver, F William; Owen, Noel L

1995-01-01T23:59:59.000Z

485

Austin Energy's Residential Solar Rate  

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

Leslie Libby Leslie Libby Austin Energy Project Manager 2020 Utility Scale Solar Goal 175 MW 30 MW PPA at Webberville 2020 Distributed Solar Goal 25 MW Residential - 7.0 MW Commercial - 1.4 MW Municipal and Schools - 1.0 MW TOTAL - 9.4 MW $0 $2 $4 $6 $8 $10 $12 $14 FY04 FY05 FY06 FY07 FY08 FY09 FY10 FY11 FY12 Installed Cost ($/Watt-DC) Residential Commercial Municipal Residential Rebate $2.00/Watt Average Installed Cost $3.75/Watt - SEIA Q2 2012 Report - Austin had the lowest installed cost in the nation ($3.88/W-DC)

486

Successful biomass (wood pellets ) implementation in  

E-Print Network [OSTI]

of primary energy in Estonia ! Wood fuels production ! Pellet firing projects in Estonia ­ SIDA Demo East Production of wood fuels in Estonia in 2002 Regional Energy Centres in Estonia Wood pellets production

487

Causes and Control of Wood Decay,  

E-Print Network [OSTI]

1 Causes and Control of Wood Decay, Degradation & Stain #12;2 Contents Moisture .................................................................................3 Wood Degradation: Causes and Control..............................4 Weathering......................................................................................................4 Naturally Decay-resistant Species...........................................................5 Wood

488

Residential Lighting: Title 24 and Technology Update  

E-Print Network [OSTI]

Residential Lighting: Title 24 and Technology Update Best practices in lighting design to comply the development and deployment of energy-efficient lighting and daylighting technologies in partnership. Effectively apply the residential Title 24 Building Energy Efficiency Standards requirements specific

California at Davis, University of

489

Residential Load Management Program and Pilot  

E-Print Network [OSTI]

In 1986 LCRA embarked on residential load management to control peak summer loads. At that time, LCRA was considered a summer peaking utility, and residential air conditioning and water heating systems were selected for control. The program...

Haverlah, D.; Riordon, K.

1994-01-01T23:59:59.000Z

490

Residential propane price decreases slightly decreases slightly  

Gasoline and Diesel Fuel Update (EIA)

7, 2014 Residential propane price decreases slightly The average retail price for propane is 2.38 per gallon, down 3-tenths of a cent from last week, based on the residential...

491

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...

492

Residential propane price continues to decrease  

Gasoline and Diesel Fuel Update (EIA)

12, 2014 Residential propane price continues to decrease The average retail price for propane fell to 3.76 per gallon, down 13.4 cents from a week ago, based on the residential...

493

Piedmont Natural Gas- Residential Equipment Efficiency Program  

Broader source: Energy.gov [DOE]

Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 201-Residential Service Rate or 221-Residential Service...

494

Residential propane price continues to decrease  

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

0, 2014 Residential propane price decreases The average retail price for propane fell to 3.64 per gallon, down 12.7 cents from a week ago, based on the residential heating fuel...

495

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

and clothes drying. In addition to the major equipment-driven and clothes drying. In addition to the major equipment-driven end-uses, the average energy consumption per household is projected for other electric and nonelectric Energy Information Administration/Assumptions to the Annual Energy Outlook 2006 19 Pacific East South Central South Atlantic Middle Atlantic New England West South Central West North Central East North Central Mountain AK WA MT WY ID NV UT CO AZ NM TX OK IA KS MO IL IN KY TN MS AL FL GA SC NC WV PA NJ MD DE NY CT VT ME RI MA NH VA WI MI OH NE SD MN ND AR LA OR CA HI Middle Atlantic New England East North Central West North Central Pacific West South Central East South Central South Atlantic Mountain Figure 5. United States Census Divisions Source:Energy Information Administration,Office of Integrated Analysis and Forecasting. Report #:DOE/EIA-0554(2006) Release date: March 2006

496

Residential Condensing Gas Furnaces | Department of Energy  

Office of Environmental Management (EM)

Gas Furnaces Residential Condensing Gas Furnaces Standardized Templates for Reporting Test Results residentialcondensinggasfurnacev1.0.xlsx More Documents & Publications...

497

Presentation: Better Buildings Residential Program Solution Center  

Broader source: Energy.gov [DOE]

Presentation: Better Buildings Residential Program Solution Center, from the U.S. Department of Energy, Better Buildings Neighborhood Program.

498

WRITTEN TESTIMONY OF DR. ROBERT J. WOOD  

E-Print Network [OSTI]

WRITTEN TESTIMONY OF DR. ROBERT J. WOOD DIRECTOR OF THE COOPERATIVE OXFORD LABORATORY NATIONAL Robert Wood, Director of the Cooperative Oxford Laboratory, a cooperative scientific research laboratory

499

Wood, Wisconsin: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

t":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Display map Wood is a town in Wood County, Wisconsin.1 References US Census Bureau Incorporated...

500

Creating Value Wood Products Industry  

E-Print Network [OSTI]

and an information dissemination plan. The program areas are Industrial Process Improvement, Environmental Assessment1 Creating Value for the Wood Products Industry Creating Value for the Wood Products Industry Louisiana Forest Products Development Center #12;2 Louisiana is blessed with quality timberland