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Note: This page contains sample records for the topic "household heating bills" 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

Use of electricity billing data to determine household energy use fingerprints  

Science Conference Proceedings (OSTI)

Ways to analyze billing data are discussed. The starting point for these analyses is a method developed at Princeton University. Their Scorekeeping model permits decomposition of total household energy use into its weather- and nonweather-sensitive elements; the weather-sensitive portion is assumed proportional to heating degree days. The Scorekeeping model also allows one to compute weather-adjusted energy consumption for each household based on its billing data and model parameters; this is the model's estimate of annual consumption under long-run weather conditions. The methods discussed here extend the Scorekeeping results to identify additional characteristics of household energy use. In particular, the methods classify households in terms of the intensity with which the particular fuel is used for space heating (primary heating fuel vs supplemental heating fuel vs no heating at all with the fuel). In addition, households that use the particular fuel for air conditioning are identified. In essence, the billing data and model results are used to determine household energy use fingerprints. The billing data and model results can also be used to identify and correct anomalous bills. The automated method discussed here identifies anomalously high or low utility bills, which are then dropped before re-estimation of the Scorekeeping model parameters. Alternatively, a pair of bills may be combined if one is very high and a temporally adjacent bill is very low. The Scorekeeping model is then re-estimated after the two bills are combined into one. The methods permit careful examination and analysis of changes in energy use from one year to another.

Hirst, E.; Goeltz, R.; White, D.

1984-08-01T23:59:59.000Z

2

Table WH1. Total Households Using Water Heating Equipment, 2005 ...  

U.S. Energy Information Administration (EIA)

Table WH1. Total Households Using Water Heating Equipment, 2005 Million U.S. Households Fuels Used (million U.S. households) Number of Water Heaters Used

3

Reduce Your Heating Bills with Better Insulation | Department of Energy  

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

Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation October 3, 2008 - 11:09am Addthis John Lippert If you pay your own energy bills, you don't need to be reminded that energy prices are escalating. Energy price projections for this coming winter are not encouraging. According to the Energy Information Administration, residential natural gas prices during the upcoming heating season (October though March) are projected to average $14.93 per Mcf, an increase of about 17% compared to last year's heating season. Residential heating oil prices are projected to average $4.13 per gallon this winter, an increase of about 25%. What if you live in an all-electric house? Many utilities are continuing to pursue retail electricity rate increases in response to power generation

4

Reduce Your Heating Bills with Better Insulation | Department of Energy  

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

Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation Reduce Your Heating Bills with Better Insulation October 3, 2008 - 11:09am Addthis John Lippert If you pay your own energy bills, you don't need to be reminded that energy prices are escalating. Energy price projections for this coming winter are not encouraging. According to the Energy Information Administration, residential natural gas prices during the upcoming heating season (October though March) are projected to average $14.93 per Mcf, an increase of about 17% compared to last year's heating season. Residential heating oil prices are projected to average $4.13 per gallon this winter, an increase of about 25%. What if you live in an all-electric house? Many utilities are continuing to pursue retail electricity rate increases in response to power generation

5

15 Ways to Save on Your Water Heating Bill | Department of Energy  

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

5 Ways to Save on Your Water Heating Bill 15 Ways to Save on Your Water Heating Bill October 26, 2009 - 3:49pm Addthis Allison Casey Senior Communicator, NREL Sometimes it...

6

15 Ways to Save on Your Water Heating Bill | Department of Energy  

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

15 Ways to Save on Your Water Heating Bill 15 Ways to Save on Your Water Heating Bill 15 Ways to Save on Your Water Heating Bill October 26, 2009 - 3:49pm Addthis Allison Casey Senior Communicator, NREL Sometimes it surprises me to see that the most popular pages on the site are the ones about solar water heaters and demand (or tankless) water heaters. But considering that water heating can account for around 12% of a family's utility bill-the biggest chunk after space heating and cooling-it really shouldn't be that surprising that you want to know how to heat your water more efficiently. Obviously, not everyone is in a position to go out and buy a new water heater, but we can all do something to use less water and save on our bills. Whether you're looking for no-cost habit changes, low-cost purchases or

7

Table SH1. Total Households Using a Space Heating Fuel, 2005 ...  

U.S. Energy Information Administration (EIA)

Total Households Using a Space Heating Fuel, 2005 Million U.S. Households Using a Non-Major Fuel 5 ... Space Heating (millions) Energy Information Administration

8

Table CE2-3c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household4,a Physical Units of Space-Heating Consumption per Household,3 Where the Main Space-Heating Fuel Is:

9

Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

10

Table CE2-12c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

11

Table CE2-4c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3,a Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

12

Table CE2-7c. Space-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Physical Units (PU) per Household3 Physical Units of Space-Heating Consumption per Household,2 Where the Main Space-Heating Fuel Is:

13

Electricity displacement by wood used for space heating in PNWRES (Pacific Northwest Residential Energy Survey) (1983) households  

DOE Green Energy (OSTI)

This report evaluates the amount of electricity for residential space heating displaced by the use of wood in a sample of single-family households that completed the 1983 Pacific Northwest Residential Energy Survey. Using electricity bills and daily weather data from the period of July 1981 to July 1982, it was determined that the average household used 21,800 kWh per year, normalized with respect to weather. If no households had used any wood, electricity use would have increased 9%, to 23,700 kWh; space heating electricity use would also have increased, by 21%, to 47% of total electricity use. In the unlikely event that all households had used a great deal of wood for space heating, electricity use could have dropped by 23.5% from the average use, to 16,700 kWh; space heating electricity use would have dropped by 56%, to 24% of total electricity use. Indications concerning future trends regarding the displacement of electricity by wood use are mixed. On one hand, continuing to weatherize homes in the Pacific Northwest may result in less wood use as households find using electricity more economical. On the other hand, historical trends in replacement decisions regarding old space heating systems show a decided preference for wood. 11 refs., 6 figs., 8 tabs.

White, D.L.; Tonn, B.E.

1988-12-01T23:59:59.000Z

14

Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE2-3e. Space-Heating Energy Expenditures in U.S. Households by Household Income, 2001 RSE Column Factor: Total 2001 Household Income Below Poverty

15

High Water Heating Bills on Lockdown at Idaho Jail | Department of Energy  

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

High Water Heating Bills on Lockdown at Idaho Jail High Water Heating Bills on Lockdown at Idaho Jail High Water Heating Bills on Lockdown at Idaho Jail August 19, 2010 - 12:05pm Addthis The Blaine County Public Safety Facility houses between 60 and 80 prisoners and roughly 30 staffers. | Photo courtesy of Blaine The Blaine County Public Safety Facility houses between 60 and 80 prisoners and roughly 30 staffers. | Photo courtesy of Blaine Lindsay Gsell What does this project do? The new solar thermal hot water system will provide nearly 70 percent of the BTUs required for heating 600,000 gallons of water for the jail annually, saving the county more than $4,000 a year in electricity costs at current rates. In Hailey, Idaho, one 330,000 square foot building - the Blaine County Public Safety Facility - accounts for the county's highest operational

16

Section I: FUEL BILLS - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Section I: FUEL BILLS I-1 In this interview you have told me how your household uses energy. ... What portion of the electric bill is for non-household uses?

17

Table WH2. Total Households by Water Heating Fuels Used, 2005 ...  

U.S. Energy Information Administration (EIA)

Total Households by Water Heating Fuels Used, 2005 ... 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Table WH2.

18

Table SH2. Total Households by Space Heating Fuels Used, 2005 ...  

U.S. Energy Information Administration (EIA)

Total Households by Space Heating Fuels Used, 2005 ... 2005 Residential Energy Consumption Survey: ... Electricity Natural Gas Fuel Oil Kerosene LPG Other

19

Table CE4-7c. Water-Heating Energy Consumption in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE4-7c. Water-Heating Energy Consumption in U.S. Households by Four Most Populated States, 1997 RSE Column Factor: Total U.S. Four Most Populated States

20

Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Table CE2-7e. Space-Heating Energy Expenditures in U.S. Households by Four Most Populated States, 2001 RSE Column Factor: Total U.S. Four Most Populated States

Note: This page contains sample records for the topic "household heating bills" 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 HC7.5 Space Heating Usage Indicators by Household Income, 2005"  

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

5 Space Heating Usage Indicators by Household Income, 2005" 5 Space Heating Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

22

Household heating fuels vary across the country - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas

23

EIA projects record winter household heating oil prices in the ...  

U.S. Energy Information Administration (EIA)

Home; Browse by Tag; Most Popular Tags. electricity; oil/petroleum; liquid fuels; natural gas; prices; states; ... Heating oil prices largely reflect crude oil prices.

24

Model of home heating and calculation of rates of return to household energy conservation investment  

Science Conference Proceedings (OSTI)

This study attempts to find out if households' investments on energy conservation yield expected returns. It first builds a home-heating regression model, then uses the results of the model to calculate the rates of return for households' investments on the energy conservation. The home heating model includes housing characteristics, economic and demographic variables, appliance related variables, and regional dummy variables. Housing characteristic variables are modeled according to the specific physical relationship between the house and its heating requirement. Data from the Residential Energy Consumption Survey (RECS) of 1980-1981 is used for the empirical testing of the model. The model is estimated for single-detached family houses separately for three major home-heating fuel types: electricity, natural gas and fuel oil. Four scenarios are used to calculate rates of return for each household. The results show in the Northern areas the rates of return in most of the cases are a lot higher than market interest rates. In the Western and Southern areas, with few exceptions, the rates of return are lower than market interest rates. The variation of heating degree days and energy prices can affect the rates of return up to 20 percentage points.

Hsueh, L.M.

1984-01-01T23:59:59.000Z

25

Table HC6.5 Space Heating Usage Indicators by Number of Household Members, 2005  

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

5 Space Heating Usage Indicators by Number of Household Members, 2005 5 Space Heating Usage Indicators by Number of Household Members, 2005 Total U.S. Housing Units.................................. 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Heating Equipment..................... 1.2 0.3 0.3 Q 0.2 0.2 Have Space Heating Equipment....................... 109.8 29.7 34.5 18.2 15.6 11.8 Use Space Heating Equipment........................ 109.1 29.5 34.4 18.1 15.5 11.6 Have But Do Not Use Equipment.................... 0.8 Q Q Q Q Q Space Heating Usage During 2005 Heated Floorspace (Square Feet) None............................................................ 3.6 1.0 0.8 0.5 0.5 0.7 1 to 499........................................................ 6.1 3.0 1.6 0.6 0.6 0.3 500 to 999.................................................... 27.7 11.6 8.3 3.6 2.7 1.6 1,000 to 1,499..............................................

26

Table HC6.4 Space Heating Characteristics by Number of Household Members, 2005  

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

4 Space Heating Characteristics by Number of Household Members, 2005 4 Space Heating Characteristics by Number of Household Members, 2005 Total..................................................................... 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Space Heating Equipment............ 1.2 0.3 0.3 Q 0.2 0.2 Have Main Space Heating Equipment............... 109.8 29.7 34.5 18.2 15.6 11.8 Use Main Space Heating Equipment................. 109.1 29.5 34.4 18.1 15.5 11.6 Have Equipment But Do Not Use It................... 0.8 Q Q Q Q Q Main Heating Fuel and Equipment Natural Gas....................................................... 58.2 15.6 18.0 9.5 8.4 6.7 Central Warm-Air Furnace............................. 44.7 10.7 14.3 7.6 6.9 5.2 For One Housing Unit................................ 42.9 10.1 13.8 7.3 6.5 5.2 For Two Housing Units...............................

27

Bill Abolt  

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

Abolt Director Shaw Environmental Bill Abolt has been a leader in developing the market for energy efficiency and green initiatives in the greater Chicago Area. He was Mayor...

28

15 Ways to Save on Your Water Heating Bill | Department of Energy  

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

it surprises me to see that the most popular pages on the site are the ones about solar water heaters and demand (or tankless) water heaters. But considering that water heating can...

29

Status of not-in-kind refrigeration technologies for household space conditioning, water heating and food refrigeration  

Science Conference Proceedings (OSTI)

This paper presents a review of the next generation not-in-kind technologies to replace conventional vapor compression refrigeration technology for household applications. Such technologies are sought to provide energy savings or other environmental benefits for space conditioning, water heating and refrigeration for domestic use. These alternative technologies include: thermoacoustic refrigeration, thermoelectric refrigeration, thermotunneling, magnetic refrigeration, Stirling cycle refrigeration, pulse tube refrigeration, Malone cycle refrigeration, absorption refrigeration, adsorption refrigeration, and compressor driven metal hydride heat pumps. Furthermore, heat pump water heating and integrated heat pump systems are also discussed due to their significant energy saving potential for water heating and space conditioning in households. The paper provides a snapshot of the future R&D needs for each of the technologies along with the associated barriers. Both thermoelectric and magnetic technologies look relatively attractive due to recent developments in the materials and prototypes being manufactured.

Bansal, Pradeep [ORNL; Vineyard, Edward Allan [ORNL; Abdelaziz, Omar [ORNL

2012-01-01T23:59:59.000Z

30

U.S. households forecast to use more heating fuels this ...  

U.S. Energy Information Administration (EIA)

What is the role of coal in the United States? ... 2012 U.S. households ... many located in rural areas. Propane inventories totaled almost 76 million ...

31

Total U.S. Main Space Heating Fuel Used U.S. Using Any Households ...  

U.S. Energy Information Administration (EIA)

Average Heating Degree Days by Main Space Heating Fuel Used, ... 2005 Residential Energy Consumption Survey: ... Any Fuel Natural Gas Fuel Oil Age of Main Heating ...

32

Final report on the use of wood as a heat source and the quality of insulation in Vermont households  

SciTech Connect

The State of Vermont Energy Office conducted a study to provide the quantitative attitudinal and behavioral information essential to assessing the use of wood as a heat source in the state. General results show that 54% of all home owners in Vermont burn wood to some degree, 47% use wood as a supplementary heat source, 9% use wood as a primary source, and the extent to which wood is used does not differ by geographic area. Results on household uses (cooking and heating) are summarized. A summary of queries on insulation attitudes, awareness, and practices shows that a majority of homeowners believe they have adequate insulation, but are unaware of R factor. In Vermont, about one-fourth of homeowners improved their insulation in the last three years. (MCW)

1976-01-01T23:59:59.000Z

33

Space-Heating energy used by households in the residential sector.  

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

Detailed Tables Detailed Tables Energy End Uses Ranked by Energy Consumption, 1989 The following 28 tables present detailed data describing the consumption of and expenditures for energy used by households in the residential sector. The data are presented at the national level, Census region and division levels, for climate zones and for the most populous States, as well as for other selected characteristics of households. This section provides assistance in reading the tables by explaining some of the headings for the categories of data. It also explains the use of the row and column factors to compute the relative standard error of the estimates given in the tables. Organization of the Tables The tables cover consumption and expenditures for six topical areas: Major Energy Source

34

Net Energy Billing | Department of Energy  

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

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

35

Heating costs for most households are forecast to rise from last ...  

U.S. Energy Information Administration (EIA)

Petroleum & Other Liquids. Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas

36

Household Vehicles Energy Consumption 1991  

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

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

37

Household Vehicles Energy Consumption 1994  

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

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

38

omnibus appropriations bill likely  

Science Conference Proceedings (OSTI)

The outlook for spending bills is much like recent years, in which the House and Senate could not complete the normal process of each passing appropriations ...

39

Average U.S. residential summer 2013 electric bill expected to be ...  

U.S. Energy Information Administration (EIA)

The average U.S. household electric bill for June through August is expected to total $395, down 2.5% from last summer and the cheapest in four years.

40

Bill Bradbury Jennifer Anders  

E-Print Network (OSTI)

Idaho James A. Yost Idaho Pat Smith Montana Tom Karier Washington Phil Rockefeller Washington September Anders Vice Chair Montana Henry Lorenzen Oregon W. Bill Booth Idaho James A. Yost Idaho Pat Smith Montana

Note: This page contains sample records for the topic "household heating bills" 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

Alternatives for reducing hot-water bills  

DOE Green Energy (OSTI)

A two stage approach to reducing residential water heating bills is described. In Stage I, simple conservation measures were included to reduce the daily hot water energy consumption and the energy losses from the water tank. Once these savings are achieved, Stage II considers more costly options for further reducing the water heating bill. Four alternatives are considered in Stage II: gas water heaters; solar water heaters (two types); heat pump water heaters; and heat recovery from a heat pump or air conditioner. To account for variations within the MASEC region, information on water heating in Rapid City, Minneapolis, Chicago, Detroit, and Kansas City is presented in detail. Information on geography, major population centers, fuel prices, climate, and state solar incentives is covered. (MCW)

Bennington, G.E.; Spewak, P.C.

1981-06-01T23:59:59.000Z

42

Take a Vacation from Your Energy Bill | Department of Energy  

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

Take a Vacation from Your Energy Bill Take a Vacation from Your Energy Bill Take a Vacation from Your Energy Bill November 16, 2011 - 2:48pm Addthis Kristin Swineford Communication Specialist, Weatherization and Intergovernmental Programs We are always talking about preparing our homes for energy efficiency and taking the right steps to decrease our carbon footprints as homeowners and renters. I realized today that it's already the middle of November, meaning it's time to begin preparing for holiday vacations. I can't think of a better time than now to revisit the ways we can save money on our energy bills this holiday season. In my household, there will be about seven consecutive days in December when no one will be home, not even the dog. Aside from the usual preparations, such as clothing and gift shopping,

43

Distributed energy resources customer adoption modeling with combined heat and power applications  

E-Print Network (OSTI)

case, such as total electricity bill, electricity generationHeat and Power Applications electricity bill for electricityK$ Investment Costs Annual Electricity Bill for Purchases

Siddiqui, Afzal S.; Firestone, Ryan M.; Ghosh, Srijay; Stadler, Michael; Edwards, Jennifer L.; Marnay, Chris

2003-01-01T23:59:59.000Z

44

Average summer electric power bills expected to be lowest in four years  

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

summer electric power bills expected to be lowest in summer electric power bills expected to be lowest in four years The average U.S. household is expected to pay $395 for electricity this summer. That's down 2.5% from last year and the lowest residential summer power bill in four years, according to the new forecast from the U.S. Energy Information Administration. Lower electricity use to meet cooling demand this summer because of forecasted milder temperatures compared with last summer is expected to more than offset higher electricity prices. The result is lower power bills for most U.S. households during the June, July, and August period. However electricity use and prices vary by region. EIA expects residential power bills will be lower in all areas of the country... except for the West South Central region, which includes

45

Rhonda Whiting Bill Bradbury  

E-Print Network (OSTI)

Idaho W. Bill Booth Idaho Henry Lorenzen Oregon Tom Karier Washington Phil Rockefeller Washington August Carrier, U.S. Fish and Wildlife Service; Paul Kline, Idaho Department of Fish and Game; and Sue Ireland, Kootenai Tribe of Idaho, will discuss the recent budget and project management practices letters sent

46

Cut Your Power Bills  

E-Print Network (OSTI)

Electric power bills can often be reduced by careful attention to the inter-relationship between your plant operations and the electric rate schedule on which your bill is based. The pattern of use of electricity by your plant over a given time span is called its load profile. A continuous process operating 365 days a year would have a flat profile whether measured on a daily, weekly, monthly or yearly basis. But most plant profiles ere not flat because operations may not be consistent for three shifts a day, seven days a week, all year. Profile characteristics of interest to your utility are maximum demand, load factor, time of demand peaks and valleys and power factor. After discussing each of these characteristics below, we will discuss how electric rate schedules are designed, how they are analyzed, and where you can look for possible savings.

Greenwood, R. W.

1979-01-01T23:59:59.000Z

47

Upping Efficiency Standards, Lowering Utility Bills | Department of Energy  

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

Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills September 2, 2010 - 4:17pm Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? Using energy-efficient appliances is one of the easiest and most important ways consumers have to save money. Purchasing energy-efficient appliances is one of the easiest and most important ways consumers have to save money, reduce their electricity consumption and help cut down on carbon pollution. We use appliances every day - to cook our food, cool our homes, heat our water and clean our clothes. In fact, for a typical U.S. family, heating and cooling and water heating account for about 50 percent of utility bills. Home appliances and

48

Upping Efficiency Standards, Lowering Utility Bills | Department of Energy  

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

Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills Upping Efficiency Standards, Lowering Utility Bills September 2, 2010 - 4:17pm Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? Using energy-efficient appliances is one of the easiest and most important ways consumers have to save money. Purchasing energy-efficient appliances is one of the easiest and most important ways consumers have to save money, reduce their electricity consumption and help cut down on carbon pollution. We use appliances every day - to cook our food, cool our homes, heat our water and clean our clothes. In fact, for a typical U.S. family, heating and cooling and water heating account for about 50 percent of utility bills. Home appliances and

49

Clean Energy On-Bill Financing (Connecticut) | Department of Energy  

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

Clean Energy On-Bill Financing (Connecticut) Clean Energy On-Bill Financing (Connecticut) Clean Energy On-Bill Financing (Connecticut) < Back Eligibility Residential Savings Category Biofuels Alternative Fuel Vehicles Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Hydrogen & Fuel Cells Water Solar Home Weatherization Heating & Cooling Water Heating Wind Program Info Start Date 4/1/2014 State Connecticut Program Type State Loan Program Provider Clean Energy Finance and Investment Authority By April 1, 2014, the Energy Conservation Management Board and the Clean Energy Finance and Investment Authority (CEFIA) must consult with electric distribution companies and gas companies to develop a residential clean energy on-bill repayment program. The program will be financed by

50

Fort Collins Utilities - Residential On-Bill Financing Program Program  

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

Fort Collins Utilities - Residential On-Bill Financing Program Fort Collins Utilities - Residential On-Bill Financing Program Program (Colorado) Fort Collins Utilities - Residential On-Bill Financing Program Program (Colorado) < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Appliances & Electronics Sealing Your Home Design & Remodeling Windows, Doors, & Skylights Ventilation Construction Commercial Heating & Cooling Heating & Cooling Heating Heat Pumps Water Heating Solar Maximum Rebate $15,000 Program Info State Colorado Program Type Utility Loan Program Rebate Amount $1,000 - $15,000 Fort Collins offers its residential customers low-interest loans that may be used to finance a variety of projects including adding insulation, replacing a furnace, upgrading water and space heating systems, and

51

EIA - Household Transportation report: Household Vehicles ...  

U.S. Energy Information Administration (EIA)

This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of ...

52

U.S. Household Electricity Report  

Reports and Publications (EIA)

Brief analysis reports on the amount of electricity consumed annually by U.S. households for each of several end uses, including space heating and cooling, water heating, lighting, and the operation of more than two dozen appliances.

Barbara Fichman

2005-07-14T23:59:59.000Z

53

Home Performance with ENERGY STAR: Utility Bill Analysis on Homes Participating in Austin Energy's Program  

SciTech Connect

Home Performance with ENERGY STAR (HPwES) is a jointly managed program of the U.S. Department of Energy (DOE) and the U.S. Environmental Protection Agency (EPA). This program focuses on improving energy efficiency in existing homes via a whole-house approach to assessing and improving a home's energy performance, and helping to protect the environment. As a local sponsor for HPwES, Austin Energy's HPwES program offers a complete home energy assessment and a list of recommendations for efficiency improvements, along with cost estimates. The owner can choose to implement only one or the complete set of energy conservation measures. Austin Energy facilitates the process by providing economic incentives to the homeowner through its HPwES Loan program and its HPwES Rebate program. In 2005, the total number of participants in both programs was approximately 1,400. Both programs are only available for improvements made by a participating HPwES contractor. The individual household billing data - encompassing more than 7,000 households - provided by Austin Energy provides a rich data set to estimate the impacts of its HPwES program. The length of the billing histories is sufficient to develop PRISM-type models of electricity use based on several years of monthly bills before and after the installation of the conservation measures. Individual household savings were estimated from a restricted version of a PRISM-type regression model where the reference temperature to define cooling (or heating degree days) was estimated along with other parameters. Because the statistical quality of the regression models varies across individual households, three separate samples were used to measure the aggregate results. The samples were distinguished on the basis of the statistical significance of the estimated (normalized) cooling consumption. A normalized measure of cooling consumption was based on average temperatures observed over the most recent nine-year period ending in 2006. This study provided a statistically rigorous approach to incorporating the variability of expected savings across the households in the sample together with the uncertainty inherent in the regression models used to estimate those savings. While the impact of the regression errors was found to be relatively small in these particular samples, this approach may be useful in future studies using individual household billing data. The median percentage savings for the largest sample of 6,000 households in the analysis was 32%, while the mean savings was 28%. Because the number of households in the sample is very large, the standard error associated with the mean percentage savings are very small, less than 1%. A conservative statement of the average savings is that is falls in the range of 25% to 30% with a high level of certainty. This preliminary analysis provides robust estimates of average program savings, but offers no insight into how savings may vary by type of conservation measure or whether savings vary by the amount of cooling electricity used prior to undertaking the measure. Follow-up researchers may want to analyze the impacts of specific ECMs. Households that use electricity for heating might also be separately analyzed. In potential future work several methodological improvements could also be explored. As mentioned in Section 2, there was no formal attempt to clean the data set of outliers and other abnormal patterns of billing data prior to the statistical analysis. The restriction of a constant reference temperature might also be relaxed. This approach may provide evidence as to whether any 'take-back' efforts are present, whereby thermostat settings are lowered during the summer months after the measures are undertaken (reflected in lower reference temperatures in the post-ECM period). A more extended analysis may also justify the investment in and use of the PRISM software package, which may provide more diagnostic measures with respect to the reference temperature. PRISM also appears to contain some built-in capability to detect outliers and other an

Belzer, D.; Mosey, G.; Dagher, L.; Plympton, P.

2008-01-01T23:59:59.000Z

54

spaceheat_household2001.pdf  

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

3a. Space Heating by Household Income, 3a. Space Heating by Household Income, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Heat Home ..................................... 106.0 18.4 22.7 26.8 38.1 14.6 33.4 3.3 Do Not Heat Home ........................ 1.0 0.3 Q 0.3 0.3 0.3 0.4 23.4 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 35.0 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q 0.2 0.3 22.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 18.4 22.7

55

Category:Billings, MT | Open Energy Information  

Open Energy Info (EERE)

MT MT Jump to: navigation, search Go Back to PV Economics By Location Media in category "Billings, MT" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Billings MT NorthWestern Corporation.png SVFullServiceRestauran... 64 KB SVHospital Billings MT NorthWestern Corporation.png SVHospital Billings MT... 62 KB SVLargeHotel Billings MT NorthWestern Corporation.png SVLargeHotel Billings ... 62 KB SVLargeOffice Billings MT NorthWestern Corporation.png SVLargeOffice Billings... 62 KB SVMediumOffice Billings MT NorthWestern Corporation.png SVMediumOffice Billing... 62 KB SVMidriseApartment Billings MT NorthWestern Corporation.png SVMidriseApartment Bil... 63 KB SVOutPatient Billings MT NorthWestern Corporation.png SVOutPatient Billings ...

56

ac_household2001.pdf  

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

3a. Air Conditioning by Household Income, 3a. Air Conditioning by Household Income, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.9 1.5 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 12.3 17.4 21.5 31.7 9.6 23.4 3.9 Air Conditioners Not Used ............ 2.1 0.4 0.7 0.5 0.5 0.4 0.9 20.8 Households Using Electric Air-Conditioning 2 .......................... 80.8 11.9 16.7 21.0 31.2 9.1 22.6 3.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 6.2 10.7 15.2 25.3 4.5 12.4 5.3 Without a Heat Pump .................. 46.2 4.9 9.1 12.1 20.1 3.6 10.4 6.1 With a Heat Pump

57

Table CE2-5.1u. Space-Heating Energy Consumption and Expenditures ...  

U.S. Energy Information Administration (EIA)

Space-Heating Energy Consumption and Expenditures by Household Member and Demographics, 2001 Household ... Total Households Using a Major Space-Heating

58

Form EIA-457E (2001) -- Household Bottled Gas Usage  

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

F (2001) -- Household Natural Gas Usage Form F (2001) -- Household Natural Gas Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Natural Gas 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

59

Form EIA-457E (2001) -- Household Bottled Gas Usage  

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

E (2001) - Household Electricity Usage Form E (2001) - Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey Answers to Frequently Asked Questions About the Household Electricity 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

60

Building 9213s earliest history ? Bill Sergeant  

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

from Bill Sergeant. Bill's memory is amazing. When I write about the times when Bill was "living the experiences," he often adds valuable content to the history. Such is the case...

Note: This page contains sample records for the topic "household heating bills" 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

Inconsistent pathways of household waste  

Science Conference Proceedings (OSTI)

The aim of this study was to provide policy-makers and waste management planners with information about how recycling programs affect the quantities of specific materials recycled and disposed of. Two questions were addressed: which factors influence household waste generation and pathways? and how reliable are official waste data? Household waste flows were studied in 35 Swedish municipalities, and a wide variation in the amount of waste per capita was observed. When evaluating the effect of different waste collection policies, it was found to be important to identify site-specific factors influencing waste generation. Eleven municipal variables were investigated in an attempt to explain the variation. The amount of household waste per resident was higher in populous municipalities and when net commuting was positive. Property-close collection of dry recyclables led to increased delivery of sorted metal, plastic and paper packaging. No difference was seen in the amount of separated recyclables per capita when weight-based billing for the collection of residual waste was applied, but the amount of residual waste was lower. Sixteen sources of error in official waste statistics were identified and the results of the study emphasize the importance of reliable waste generation and composition data to underpin waste management policies.

Dahlen, Lisa [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden)], E-mail: lisa.dahlen@ltu.se; Aberg, Helena [Department of Food, Health and Environment, University of Gothenburg, P.O. Box 12204, SE, 402 42 Gothenburg (Sweden); Lagerkvist, Anders [Division of Waste Science and Technology, Lulea University of Technology, SE, 971 87 Lulea (Sweden); Berg, Per E.O. [HB Anttilator, Stagnellsgatan 3, SE, 652 23, Karlstad (Sweden)

2009-06-15T23:59:59.000Z

62

Chapter 8, Whole-Building Retrofit with Billing Analysis Evaluation...  

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

on all of the post-period dummy variable components, annual normal or TMY heating, andor cooling degree days for participants with measure k and the mean household characteristics...

63

politics factors into climate bill, too  

Science Conference Proceedings (OSTI)

06/2 - POLITICS FACTORS INTO CLIMATE BILL, TOO. In A 987-page bill, six committees with jurisdiction, a mammoth oil spill to consider, no bipartisan support, ...

64

Section J: HOUSEHOLD CHARACTERISTICS  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey Form EIA-457A (2001)--Household Questionnaire OMB No.: 1905-0092, Expiring February 29, 2004 42 Section J: HOUSEHOLD ...

65

FARM BILL PROGRAMS Background: Why are Farm Bill Programs Important  

E-Print Network (OSTI)

Farm Bill conservation programs have the potential to proactively restore and conserve wildlife habitat and species, both for species already listed, but more importantly, to prevent additional listings. Farm Bill conservation incentives programs are applicable to all ecosystem types where farming, ranching and forestry still take place. Current programs target about 75 % of the rural landscape, thus a multitude of ecosystem types can be addressed. Additionally, the amount of funding authorized in the 2002 Farm Bill for resource conservation is over $5 billion a year, which dwarfs any other item in the federal budget for resource conservation. A portion of this funding is directly aimed at wildlife habitat or species restoration and conservation activities. Lastly, Farm Bill incentive programs are voluntary and preventative in nature, thereby having the potential to supplement a more regulatory approach. Although most are aimed at improving water quality and stemming soil erosion, Farm Bill conservation programs may have indirect beneficial impacts for wildlife habitat. The Wildlife Habitat Incentives Program, the Wetland Reserve Program, and in some places the Conservation Reserve Enhancement Program, are directed at wildlife habitat for both listed and non-listed species at risk. The primary problem with determining the impacts of Farm Bill programs that

George Boody (l

2004-01-01T23:59:59.000Z

66

from Microsoft's Bill Gates. Summer  

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

Power surge (page 2) Developing fuel for next- generation nuclear reactors, with backing from Microsoft's Bill Gates. Summer fun (pages 4-5) All aboard a bus or train and tour Y-12...

67

Factors influencing county level household fuelwood use  

Science Conference Proceedings (OSTI)

This study explains household fuelwood consumption behavior at the county level by linking it to economic and demographic conditions in counties. Using this link, counties are identified where potential fuelwood use problems and benefits are greatest. A probit equation estimates household probability of wood use (percent woodburners in a county heating degree days, household income, nonwood fuel price, fuelwood price, percent forest land, population density, and fraction of households using various types of heating equipment. A linear-in-parameters equation estimates average wood consumed by a woodburner based on county heating degree days, household income, percent forest land, and price of nonwood fuel divided by fuelwood price. Parameters are estimated using fuelwood use data for individual households from a 1908-81 nationwide survey. The probit equation predicts percentage of wood burns well over a wide range of county conditions. The wood consumption equation overpredicts for counties with high income and high population density (over 6000 persons per square mile). The model shows average woodburning per household over all households decreases with increasing population density, and the influence of county economic characteristics varies with density.

Skog, K.E.

1986-01-01T23:59:59.000Z

68

Comparison groups on bills: Automated, personalized energy information  

SciTech Connect

A program called ``Innovative Billing?? has been developed to provide individualized energy information for a mass audience?the entireresidential customer base of an electric or gas utility. Customers receive a graph on the bill that compares that customer?s consumption with othersimilar customers for the same month. The program aims to stimulate customers to make ef?ciency improvements. To group as many as severalmillion customers into small ``comparison groups??, an automated method must be developed drawing solely from the data available to the utility.This paper develops and applies methods to compare the quality of resulting comparison groups.A data base of 114,000 customers from a utility billing system was used to evaluate Innovative Billing comparison groups, comparing fouralternative criteria: house characteristics (?oor area, housing type, and heating fuel); street; meter read route; billing cycle. Also, customers wereinterviewed to see what forms of comparison graphs made most sense and led to fewest errors of interpretation. We ?nd that good qualitycomparison groups result from using street name, meter book, or multiple house characteristics. Other criteria we tested, such as entire cycle, entiremeter book, or single house characteristics such as ?oor area, resulted in poor quality comparison groups. This analysis provides a basis forchoosing comparison groups based on extensive user testing and statistical analysis. The result is a practical set of guidelines that can be used toimplement realistic, inexpensive innovative billing for the entire customer base of an electric or gas utility.

Iyer, Maithili; Kempton, Willett; Payne, Christopher

2006-07-01T23:59:59.000Z

69

Kosciusko REMC - Residential Geothermal and Air-source Heat Pump Rebate  

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

Kosciusko REMC - Residential Geothermal and Air-source Heat Pump Kosciusko REMC - Residential Geothermal and Air-source Heat Pump Rebate Program Kosciusko REMC - Residential Geothermal and Air-source Heat Pump Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heat Pumps Appliances & Electronics Water Heating Maximum Rebate Maximum of two rebates per household Program Info State Indiana Program Type Utility Rebate Program Rebate Amount Geothermal System: $250 Air-Source Heat Pump: $150 Electric Water Heater: $75 - $125 Provider Kosciusko REMC Kosciusko REMC offers rebates (as bill credits) to residential members for the purchase and installation of high efficiency air-source heat pumps, geothermal heat pumps, and electric water heaters. For each purchase of an

70

char_household2001.pdf  

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

Household Tables Household Tables (Million U.S. Households; 24 pages, 122 kb) Contents Pages HC2-1a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 2 HC2-2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 2 HC2-3a. Household Characteristics by Household Income, Million U.S. Households, 2001 2 HC2-4a. Household Characteristics by Type of Housing Unit, Million U.S. Households, 2001 2 HC2-5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC2-6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC2-7a. Household Characteristics by Four Most Populated States, Million U.S. Households, 2001 2

71

spaceheat_household2001.pdf  

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

1a. Space Heating by South Census Region, 1a. Space Heating by South Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.9 1.2 1.4 1.3 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Heat Home .................................................... 106.0 38.8 20.2 6.8 11.8 NE Do Not Heat Home ....................................... 1.0 Q Q Q Q 20.1 No Heating Equipment ................................ 0.5 Q Q Q Q 39.8 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q Q 39.0 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0

72

spaceheat_household2001.pdf  

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

9a. Space Heating by Northeast Census Region, 9a. Space Heating by Northeast Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 20.3 14.8 5.4 NE Heat Home .................................................... 106.0 20.1 14.7 5.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.9 No Heating Equipment ................................ 0.5 Q Q Q 39.5 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.7 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 20.1 14.7 5.4 NE Natural Gas .................................................

73

spaceheat_household2001.pdf  

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

0a. Space Heating by Midwest Census Region, 0a. Space Heating by Midwest Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Heat Home .................................................... 106.0 24.5 17.1 7.4 NE Do Not Heat Home ....................................... 1.0 Q Q Q 19.8 No Heating Equipment ................................ 0.5 Q Q Q 39.2 Have Equipment But Do Not Use It ............................................... 0.4 Q Q Q 38.4 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 24.5 17.1 7.4 NE Natural Gas

74

spaceheat_household2001.pdf  

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

2a. Space Heating by West Census Region, 2a. Space Heating by West Census Region, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.6 1.0 1.6 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Heat Home .................................................... 106.0 22.6 6.7 15.9 NE Do Not Heat Home ....................................... 1.0 0.7 Q 0.7 10.6 No Heating Equipment ................................ 0.5 0.4 Q 0.4 18.1 Have Equipment But Do Not Use It ............................................... 0.4 0.2 Q 0.2 27.5 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 22.6 6.7 15.9 NE Natural Gas .................................................

75

Bill Lewis | Department of Energy  

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

Bill Lewis Bill Lewis About Us Bill Lewis William A. Lewis, Jr. was appointed Deputy Director of the Office of Civil Rights and Diversity in October 2005. Prior to this appointment, Mr. Lewis was named Director, Office of Employee Concerns, as part of a Secretarial Whistleblower initiative on October 1, 1996. The Employee Concerns Office at the United States Department of Energy Headquarters was established to provide the necessary leadership and policy guidance to employee concerns programs at the Department's major facilities. In February 2002, Mr. Lewis was named the National Ombudsman for the Department, a position he held for three years. Prior to these appointments, Mr. Lewis served as the Director of the Office of Science Education Programs. Mr. Lewis joined the Department of Energy in July 1992 and became a member

76

Bill Valdez | Department of Energy  

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

Bill Valdez Bill Valdez About Us Bill Valdez - Principal Deputy Director Mr. Valdez is the Principal Deputy Director of the Office of Economic Impact and Diversity (ED). Mr. Valdez's career with the Department of Energy spans over 17 years, providing him with extensive knowledge in the areas of workforce development, budget planning, diversity and equal opportunity issues, science policy, corporate and strategic planning, and contract management. In his current position, Mr. Valdez plays a pivotal role in setting overall strategic direction for DOE's diversity, minority education, civil rights, and small business initiatives and activities. Mr. Valdez works with Department program offices to develop a corporate funding strategy for minority institutions to ensure that faculty and

77

Heating Alloys  

Science Conference Proceedings (OSTI)

...are used in many varied applications--from small household appliances to large industrial process heating systems and furnaces. In appliances or industrial process heating, the heating elements are usually either open

78

char_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

9a. Household Characteristics by Northeast Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row...

79

Residential energy consumption of low-income and elderly households: how non-discretionary is it  

SciTech Connect

The energy literature is replete with opinions that the poor and elderly have cut their residential energy consumption to a minimum. This paper challenges such conclusions through an analysis of data on a sample of 319 Decatur, Illinois homeowners. The data include utility bill histories and survey information on housing characteristics, energy-related behaviors, attitudes, and socio-economic and demographic characteristics. It shows that residential energy consumption per square foot of living space is significantly higher for the elderly and poor than for other groups of Decatur homeowners. By breaking energy use into seasonal components, the paper estimates consumption for various household uses. This information, combined with the survey data, suggests that both subgroups heat and cool their homes inefficiently, due in part to the conditions of their homes, but also due to energy-related behaviors. The public policy implications of the findings are discussed.

Brown, M.A.; Rollinson, P.A.

1984-01-01T23:59:59.000Z

80

Household energy consumption and expenditures 1993  

Science Conference Proceedings (OSTI)

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

NONE

1995-10-05T23:59:59.000Z

Note: This page contains sample records for the topic "household heating bills" 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

New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program | Department  

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

New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program New Jersey Natural Gas - SAVEGREEN On-Bill Financing Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Construction Commercial Weatherization Design & Remodeling Other Sealing Your Home Ventilation Maximum Rebate $10,000 Program Info State New Jersey Program Type Utility Loan Program Rebate Amount $2,500-$10,000 Provider New Jersey Natural Gas Through the SAVEGREEN Project, New Jersey Natural Gas (NJNG) provides an On-Bill Repayment Program. Qualified customers can borrow $2,500-$10,000 at 0% APR fixed rate for 10 years with no fees, points or closing costs. A variety of equipment and measures may qualify for financing under this

82

ac_household2001.pdf  

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

0a. Air Conditioning by Midwest Census Region, 0a. Air Conditioning by Midwest Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 20.5 13.6 6.8 2.2 Air Conditioners Not Used ........................... 2.1 0.3 Q Q 27.5 Households Using Electric Air-Conditioning 1 ........................................ 80.8 20.2 13.4 6.7 2.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 14.3 9.5 4.8 3.8 Without a Heat Pump ................................ 46.2 13.6 9.0 4.6 3.9 With a Heat Pump .....................................

83

ac_household2001.pdf  

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

8a. Air Conditioning by Urban/Rural Location, 8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 36.8 13.6 18.9 13.6 4.3 Air Conditioners Not Used ........................... 2.1 1.2 0.2 0.4 0.3 21.4 Households Using Electric Air-Conditioning 2 ........................................ 80.8 35.6 13.4 18.6 13.3 4.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 ............................ 57.5 23.6 8.6 15.8 9.4 5.1 Without a Heat Pump ................................ 46.2 19.3 7.4 13.1 6.4 6.3 With a Heat Pump ..................................... 11.3 4.4

84

ac_household2001.pdf  

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

5a. Air Conditioning by Type of Owner-Occupied Housing Unit, 5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using Electric Air-Conditioning 1 .......................... 58.2 57.6 6.3 11.8 5.1 5.3 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 44.7 43.6 3.2 7.1 3.5 7.0 Without a Heat Pump .................. 35.6 35.0 2.4 6.1 2.7 7.7 With a Heat Pump .......................

85

ac_household2001.pdf  

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

6a. Air Conditioning by Type of Rented Housing Unit, 6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning 1 .......................... 22.5 57.6 6.3 11.8 5.1 6.2 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 12.7 43.6 3.2 7.1 3.5 8.5 Without a Heat Pump .................. 10.6 35.0 2.4 6.1 2.7 9.3 With a Heat Pump ....................... 2.2 8.6 0.8 1.0

86

ac_household2001.pdf  

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

1a. Air Conditioning by South Census Region, 1a. Air Conditioning by South Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.4 Households With Electric Air-Conditioning Equipment ...................... 82.9 37.2 19.3 6.4 11.5 1.5 Air Conditioners Not Used ........................... 2.1 0.4 Q Q Q 28.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 36.9 19.0 6.4 11.5 1.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 30.4 16.1 5.0 9.2 2.8 Without a Heat Pump ................................ 46.2 22.1 10.4 3.4 8.3 5.6 With a Heat Pump

87

ac_household2001.pdf  

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

9a. Air Conditioning by Northeast Census Region, 9a. Air Conditioning by Northeast Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.2 1.8 Households With Electric Air-Conditioning Equipment ...................... 82.9 14.5 11.3 3.2 3.3 Air Conditioners Not Used ........................... 2.1 0.3 0.3 Q 28.3 Households Using Electric Air-Conditioning 1 ........................................ 80.8 14.2 11.1 3.2 3.4 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 5.7 4.9 0.8 8.9 Without a Heat Pump ................................ 46.2 5.2 4.5 0.7 9.2 With a Heat Pump .....................................

88

ac_household2001.pdf  

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

2a. Air Conditioning by Year of Construction, 2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.1 1.2 1.1 0.9 Households With Electric Air-Conditioning Equipment ........ 82.9 13.6 16.0 14.7 10.4 10.5 17.6 4.7 Air Conditioners Not Used ............ 2.1 Q 0.3 0.5 0.3 0.4 0.5 27.2 Households Using Electric Air-Conditioning 2 .......................... 80.8 13.4 15.8 14.2 10.1 10.2 17.1 4.7 Type of Electric Air-Conditioning Used Central Air-Conditioning 3 .............. 57.5 12.6 13.7 11.0 7.1 6.6 6.4 5.9 Without a Heat Pump .................. 46.2 10.1 10.4 8.0 6.1 5.9 5.7 7.0 With a Heat Pump ....................... 11.3 2.5 3.3

89

ac_household2001.pdf  

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

4a. Air Conditioning by Type of Housing Unit, 4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1 .......................... 80.8 57.6 6.3 11.8 5.1 4.9 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 .............. 57.5 43.6 3.2 7.1 3.5 6.7 Without a Heat Pump .................. 46.2 35.0 2.4 6.1 2.7 7.7 With a Heat Pump ....................... 11.3 8.6 0.8 1.0 0.8 19.7 Room Air-Conditioning

90

Estimating Air Conditioner Loads Using Available Billing and Weather Data: An Exploratory Analysis  

Science Conference Proceedings (OSTI)

In limited testing, an innovative statistical technique for estimating the effects of residential air conditioners on system loads under various weather conditions produced encouraging results. The simple technique, which uses standard utility billing records and readily available weather data, could offer an inexpensive alternative to household monitoring. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/Applications/DE/Commun...

1985-10-25T23:59:59.000Z

91

Household and environmental characteristics related to household energy-consumption change: A human ecological approach  

Science Conference Proceedings (OSTI)

This study focused on the family household as an organism and on its interaction with the three environments of the human ecosystem (natural, behavioral, and constructed) as these influence energy consumption and energy-consumption change. A secondary statistical analysis of data from the US Department of Energy Residential Energy Consumption Surveys (RECS) was completed. The 1980 and 1983 RECS were used as the data base. Longitudinal data, including household, environmental, and energy-consumption measures, were available for over 800 households. The households were selected from a national sample of owner-occupied housing units surveyed in both years. Results showed a significant( p = household, cooling degree days, heating degree days, year the housing unit was built, and number of stories in the housing unit.

Guerin, D.A.

1988-01-01T23:59:59.000Z

92

EIA - Household Transportation report: Household Vehicles Energy  

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

4 4 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1994 August 1997 Release Next Update: EIA has discontinued this series. Based on the 1994 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. 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

93

Car Sharing within Households –  

E-Print Network (OSTI)

The objective of this paper was to analyse two activities: who rents a car and why? Which households share the driving of their cars? In order to do that, the Parc-Auto (Car-Fleet) database, built from annual postal surveys conducted with a panel of 10,000 French households, has been processed. Among approximately one hundred questions in the survey, two key questions have been crossed against many social, economic, demographic, geographic or time variables. KQ1: “During the last 12 months, did you — or another person from your home — rent a car in France for personal purposes? ” KQ2: “Is this car occasionally used by other persons?” Here are the main findings. Renting households are mainly working, high income households, living in the core of big cities, and in particular in Paris. Most of them have two wage-sheets and two cars, one of which is generally a recent, high power, high quality car. Car rental is mainly an occasional practice. Yet for a minority of renters, it is a sustained habit. Households with more licence holders than cars share the most: about three quarters of them share their cars. On the contrary, single driver-single car households have less opportunity to share: only 15 % share. Household car sharing shed light on the gender role within households: while 58 % of the main users of the shared cars are male, 55 % of secondary users are female. Household car sharing is mainly a regular practice. Finally, without diminishing the merits of innovative transport solutions proposed here and there, it is not a waste of time to give some insight on self established behaviour within households. This reveals that complex patterns have been built over time by the people themselves, to cope with diverse situations that cannot be easily handled by straightforward classifications. The car cannot be reduced to a personal object. Household car sharing also carries strong links with the issue of car dependency. Sifting car availability and choice

Francis Papon; Laurent Hivert

2008-01-01T23:59:59.000Z

94

PRELIMINARY DATA Housing Unit and Household Characteristics  

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

PRELIMINARY DATA Housing Unit and Household Characteristics RSE Column Factor: Total Households (million) Households With Fans (million) Percent of Households With Fans Number of...

95

When Utility Bills Attack! | Department of Energy  

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

When Utility Bills Attack! When Utility Bills Attack! When Utility Bills Attack! March 1, 2010 - 11:05am Addthis Amy Foster Parish It may come as a shock to my college math professor, but where my family's finances are concerned, I'm a budgeter. Just before a new month begins, I take some time to plan for the month's regular bills as well as any special events or holidays that might require setting some extra money aside. I even have a special notebook to track all this financial data (and shopping for a new notebook every year is half the fun of fiscal responsibility). But as proactive as I am with my monthly budgeting, I tend to be reactive when it comes to my monthly utility bills. I take a guess at what my bill will be at the beginning of the month, and then I'm either excited when the

96

Household carbon dioxide production in relation to the greenhouse effect  

SciTech Connect

A survey of 655 households from eastern suburbs of Melbourne was undertaken to determine householders[prime] attitudes to, and understanding of, the greenhouse effect. Carbon dioxide emissions resulting from car, electricity and gas use were computed and household actions which could reduce CO[sub 2] emissions were addressed. Preliminary analysis of the results indicates that householders in this area are aware of, and concerned about, the greenhouse effect, although their understanding of its causes is often poor. Many appreciate the contribution of cars, but are unclear about the relative importance of other household activities. Carbon dioxide emissions from the three sources examined averaged 21[center dot]2 tonnes/year per household and 7[center dot]4 tonnes/year per person. Electricity was the largest contributor (8[center dot]6 tonnes/year), cars the next largest (7[center dot]7 tonnes/year) and gas third (5[center dot] tonnes/year) per household. Emissions varied considerably from household to household. There was a strong positive correlation between availability of economic resources and household CO[sub 2] output from all sources. Carbon dioxide production, particularly from car use, was greater from households which were most distant from a railway station, and from larger households, and numbers of children in the household had little effect on emissions. There were also some economics of scale for households containing more adults. Understanding the causes of the greenhouse bore little relation to change in CO[sub 2] emissions; being concerned about it was associated with a small reduction; but actual actions to reduce car use and household heating, however motivated, produced significant reductions. 12 refs., 9 figs., 6 tabs.

Stokes, D.; Lindsay, A.; Marinopoulos, J.; Treloar, A.; Wescott, G. (Deakin Univ., Clayton (Australia))

1994-03-01T23:59:59.000Z

97

Alternative Underwriting Criteria - Using Utility Bill Payment...  

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

Alternative Underwriting Criteria - Using Utility Bill Payment History as a Proxy for Credit: Case Study on Clean Energy Works Oregon Title Alternative Underwriting Criteria -...

98

Q&A with Bill Christie  

Science Conference Proceedings (OSTI)

Catherine Watkins, associate editor of inform, recently posed a series of questions to the creator of The Lipid Library, William W. Christie Q&A with Bill Christie ...

99

PIA - FBI Billing System | Department of Energy  

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

& Publications PIA - Security Clearance Work Tracking and Budget System Office of Personnel Management (OPM) Billing System PIA, Office of Health, Safety and Security TRAIN-PIA.pdf...

100

A Framework for Corporate Householding  

E-Print Network (OSTI)

Previous research on corporate household and corporate householding has presented examples, literature review, and working definitions. In this paper, we first improve our ...

Madnick, Stuart

2003-03-21T23:59:59.000Z

Note: This page contains sample records for the topic "household heating bills" 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

spaceheat_household2001.pdf  

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

8a. Space Heating by Urban/Rural Location, 8a. Space Heating by Urban/Rural Location, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.6 0.9 1.3 1.3 1.2 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.3 Heat Home .................................................... 106.0 49.1 18.0 21.2 17.8 4.3 Do Not Heat Home ....................................... 1.0 0.7 0.1 0.1 0.1 25.8 No Heating Equipment ................................ 0.5 0.4 0.1 Q 0.1 33.2 Have Equipment But Do Not Use It ............................................... 0.4 0.3 Q Q Q 30.2 Main Heating Fuel and Equipment (Have and Use Equipment) ........................... 106.0 49.1 18.0 21.2 17.8 4.3 Natural Gas

102

spaceheat_household2001.pdf  

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

5a. Space Heating by Type of Owner-Occupied Housing Unit, 5a. Space Heating by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.4 1.9 3.0 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Heat Home ..................................... 72.4 63.0 2.0 1.7 5.7 6.7 Do Not Heat Home ........................ 0.4 0.2 Q Q Q 46.2 No Heating Equipment .................. 0.3 0.2 Q Q Q 39.0 Have Equipment But Do Not Use It ................................ Q Q Q Q Q NF Main Heating Fuel and Equipment (Have and Use Equipment) ............ 72.4 63.0 2.0 1.7 5.7 6.7 Natural Gas

103

spaceheat_household2001.pdf  

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

2a. Space Heating by Year of Construction, 2a. Space Heating by Year of Construction, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.5 1.5 1.1 1.1 1.1 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.3 Heat Home ..................................... 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Do Not Heat Home ........................ 1.0 Q Q Q 0.2 0.3 Q 23.2 No Heating Equipment .................. 0.5 Q Q Q 0.2 Q Q 30.3 Have Equipment But Do Not Use It ................................ 0.4 Q Q Q Q Q Q 37.8 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 15.4 18.2 18.6 13.6 13.9 26.4 4.3 Natural Gas ...................................

104

spaceheat_household2001.pdf  

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

4a. Space Heating by Type of Housing Unit, 4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No Heating Equipment .................. 0.5 0.2 Q 0.3 Q 24.2 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 28.1 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 106.0 73.4 9.4 16.4 6.8 4.5 Natural Gas ...................................

105

spaceheat_household2001.pdf  

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

6a. Space Heating by Type of Rented Housing Unit, 6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home ........................ 0.6 Q Q 0.5 Q 21.4 No Heating Equipment .................. 0.2 Q Q Q Q 84.5 Have Equipment But Do Not Use It ................................ 0.4 Q Q 0.3 Q 36.4 Main Heating Fuel and Equipment (Have and Use Equipment) ............ 33.7 10.4 7.4 14.8 1.1 6.9 Natural Gas ...................................

106

Field test and assessment of thermal energy storage for residential heating  

SciTech Connect

Thermal energy storage (TES) heating units can be connected to the utility grid to accept electricity only during utility off-peak periods and yet provide round-the-clock comfort heating. Their use by an increasingly larger part of the electric-heat market could provide economic and oil-saving benefits. A field test was carried out over two full heating seasons in Vermont and Maine at 45 TES sites and 30 control sites heated by electric baseboard heaters. The TES users were billed under applicable time-of-day (TOD) rates. All sites were instrumented, and measurements of inside and outside temperatures and electrical energy consumption for heating were made and recorded every 15 min. Analysis of the data has led to the following findings and conclusions: Overall technical performance of the TES units was good under extreme weather conditions. Annualized energy use was the same for the TES and the control households. Proper sizing of the storage systems is much more important for storage heaters than for nonstorage heaters. TES users were satisfied with performance. Electric-heat bills were much lower for TES users. Occupancy effects were large and caused wide variations in energy consumption on days that had the same number of heating degree-days. The individual building heat loss determined experimentally from an analysis of the actual energy consumption per heating degreeday was 30% to 50% smaller than that determined by a walkthrough energy audit.

Hersh, H.

1983-12-01T23:59:59.000Z

107

The Honorable Bill Johnson j.  

Office of Legacy Management (LM)

- Department of En&gy, - Department of En&gy, Washington, DC 20585 \APR 0 3 7995 The Honorable Bill Johnson j. 30 Church Street, Rochester, New-York 14614 / Dear MayorJohnson: 'I Secretary of Energy Hazel O'Leary has announced a'nei approach to openness in the Department of'Energy (DDE) and its communications with the public. In, support of this initiative, we are pleased to forward the enclosed info&tion related to the former University of. Rochester site in, your jurisdiction performed work for DOE or its predecessor agencies. Thins information is provided for your information, use, and retqntion. DDE's Formerly Utilized SitesRemedial Action Program.isI responsible for identification of sites used by DOE's predecessor agencies, determining current 'radiological condition.'and, where, it has authority, performing

108

Reducing the Federal Energy Bill  

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

1 1 Reducing the Federal Energy Bill Berkeley Lab's Work with the Federal Energy Management Program It costs billions of dollars and uses more energy than any other entity in the United States. What is it? Answer: the Federal government. In fiscal year 1995, the Federal government spent $8 billion on a net energy consumption of 1.15 quadrillion BTUs. While that may be a lot of energy in absolute terms, the numbers have been improving for years. Compared with fiscal year 1985, the 1995 energy-use figure is down by 22.5%, and the costs are down $2.5 billion. The decline is explained in part by the activities of FEMP (the Federal Energy Management Program) and the efforts of energy-efficiency experts at national laboratories, such as those at Berkeley Lab's Environmental Energy

109

Economic Analysis of Home Heating and Cooling  

E-Print Network (OSTI)

Over the last eleven years Houston Lighting & Power has raised utility rates an average of 17% per year. Over the last 3 1/2 years the utility rates have doubled. According to Houston City Magazine, Houstonians can expect future raises of 20-25% annually due to required construction of new utility plants to accommodate Houston's future growth. Utility costs could, and in many cases do, exceed the monthly mortgage payment. This has caused all to become concerned with what can be done to lower the utility bill for homes. In a typical Gulf Coast home approximately 50% of household utility costs are due to the air conditioning system, another 15-20% of utility costs are attributed to hot water heating. The remaining items in the home including lights, toaster, washer, dryer, etc. are relatively minor compared to these two "energy gulpers". Reducing air conditioning and hot water heating costs are therefore the two items on which homeowners should concentrate.

Wagers, H. L.

1984-01-01T23:59:59.000Z

110

Towards sustainable household energy use in the Netherlands, Int  

E-Print Network (OSTI)

Abstract: Households consume direct energy, using natural gas, heating oil, gasoline and electricity, and consume indirect energy, the energy related to the production of goods and the delivery of services for the households. Past trends and present-day household energy use (direct and indirect) are analysed and described. A comparison of these findings with objectives concerning ecological sustainability demonstrates that present-day household energy use is not sustainable. A scenario towards sustainable household energy use is designed containing far-reaching measures with regard to direct energy use. Scenario evaluation shows a substantial reduction of direct energy use; however, this is not enough to meet the sustainability objectiv es. Based on these results, the possibilities and the limitations are discussed to enable households to make their direct and indirect energy use sustainable on the long run.

Jack Van Der Wal; Henri C. Moll

2001-01-01T23:59:59.000Z

111

ac_household2001.pdf  

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

2001 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.7 1.2 1.2 Households With Electric Air-Conditioning Equipment ...................... 82.9 4.9 6.0 7.4 6.2 2.4 Air Conditioners Not Used ........................... 2.1 0.1 0.8 Q 0.1 23.2 Households Using Electric Air-Conditioning 1 ........................................ 80.8 4.7 5.2 7.4 6.1 2.6 Type of Electric Air-Conditioning Used Central Air-Conditioning 2 ............................ 57.5 1.3 3.9 6.2 5.7 6.7 Without a Heat Pump ................................ 46.2 1.2 3.2 5.5 3.8 8.1 With a Heat Pump ..................................... 11.3 Q 0.8 0.6 1.9 14.7 Room Air-Conditioning ................................ 23.3 3.4 1.2 1.2 0.3 13.6 1 Unit

112

Senate Bill (SB) 1305 - Power Marketing - Sierra Nevada Region...  

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

Senate Bill 1305 Senate Bill 1305 State Senate Bill 1305 is a mandate that requires suppliers of energy to report their sources of generation under certain conditions. Munis must...

113

Table 5B. Commercial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Commercial Average Monthly Bill by Census Division, and State: Table 5B. Commercial Average Monthly Bill by ...

114

Using QECBs for Public Building Upgrades: Reducing Energy Bills...  

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

Public Building Upgrades: Reducing Energy Bills in the City of Philadelphia Title Using QECBs for Public Building Upgrades: Reducing Energy Bills in the City of Philadelphia...

115

Money for Research, Not for Energy Bills: Finding Energy and...  

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

Not for Energy Bills: Finding Energy and Cost Savings in High Performance Computer Facility Designs Title Money for Research, Not for Energy Bills: Finding Energy and Cost...

116

Evaluatoni of Automated Utility Bill Calibration Methods  

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

NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Evaluation of Automated Utility Bill Calibration Methods BA Technical Update Meeting Ben Polly, Joe Robertson 04/30/13 Utility Bill Calibration * "Calibrate" or "true-up" building energy models to utility bill data to increase the accuracy of retrofit savings predictions * Calibration methods typically involve adjusting input parameters * Predict retrofit savings using the adjusted (calibrated) model 2 Background: BESTEST-EX * BESTEST-EX is a suite for testing calibration methods and retrofit savings predictions associated with audit software * Field trials showed that:

117

Table 2. Fuel Oil Consumption and Expeditures in U.S. Households ...  

U.S. Energy Information Administration (EIA)

Fuel Oil Consumption and Expeditures in U.S. Households ... Space Heating - Main or Secondary ... Forms EIA-457 A-G of the 2001 Residential Energy Consumption

118

housingunit_household2001.pdf  

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

Housing Unit Tables Housing Unit Tables (Million U.S. Households; 49 pages, 210 kb) Contents Pages HC1-1a. Housing Unit Characteristics by Climate Zone, Million U.S. Households, 2001 5 HC1-2a. Housing Unit Characteristics by Year of Construction, Million U.S. Households, 2001 4 HC1-3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 4 HC1-4a. Housing Unit Characteristics by Type of Housing Unit, Million U.S. Households, 2001 4 HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 4 HC1-6a. Housing Unit Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 4 HC1-7a. Housing Unit Characteristics by Four Most Populated States, Million U.S. Households, 2001 4

119

usage_household2001.pdf  

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

Usage Indicators Tables Usage Indicators Tables (Million U.S. Households; 60 pages, 247 kb) Contents Pages HC6-1a. Usage Indicators by Climate Zone, Million U.S. Households, 2001 5 HC6-2a. Usage Indicators by Year of Construction, Million U.S. Households, 2001 5 HC6-3a. Usage Indicators by Household Income, Million U.S. Households, 2001 5 HC6-4a. Usage Indicators by Type of Housing Unit, Million U.S. Households, 2001 5 HC6-5a. Usage Indicators by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 5 HC6-6a. Usage Indicators by Type of Rented Housing Unit, Million U.S. Households, 2001 5 HC6-7a. Usage Indicators by Four Most Populated States, Million U.S. Households, 2001 5

120

homeoffice_household2001.pdf  

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

Home Office Equipment Tables Home Office Equipment Tables (Million U.S. Households; 12 pages, 123 kb) Contents Pages HC7-1a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 1 HC7-2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 1 HC7-3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 1 HC7-4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 1 HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 1 HC7-6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 1 HC7-7a. Home Office Equipment by Four Most Populated States, Million U.S. Households, 2001 1

Note: This page contains sample records for the topic "household heating bills" 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

Bill Nye (Energy All Stars Presentation)  

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

Bill Nye the Science Guy delivered this presentation on space and the lessons about climate change that can be gleaned from the other planets in our solar system at the Energy All Stars event on...

122

Household Energy Expenditure and Income Groups: Evidence from Great Britain  

E-Print Network (OSTI)

  and  0.024  for  district heating However, as income is not observed its effect cannot be analysed.  Wu et al. (2004) examine the demand for space heating in Armenia, Moldova, and  Kyrgyz  Republic  using  household  survey  data.  In  these  countries...  and in some regions incomes are not sufficient to  afford space heating from district heating systems making these systems unviable.  We  analyse  electricity,  gas  and  overall  energy  spending  for  a  large  sample  of  households  in  Great  Britain.  We  discern  inflection  points  and  discuss...

Jamasb, Tooraj; Meier, H

123

Household Vehicles Energy Use Cover Page  

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

Household Vehicles Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback *...

124

Model documentation: household model of energy  

Science Conference Proceedings (OSTI)

The Household Model of Energy is an econometric model, meaning that energy use is determined quantitatively with the use of economic variables such as fuel prices and income. HOME is also primarily a structural model, meaning that energy use is determined as the result of interactions of intermediate components such as the number of households, the end use fuel shares and the energy use per household. HOME forecasts energy consumption in all occupied residential structures (households) in the United States on an annual basis through 1990. The forecasts are made based upon a number of initial conditions in 1980, various estimated elasticities, various parameters and assumptions, and a set of forecasted fuel prices and income. In addition to the structural detail, HOME operates on a more disaggregated level. This includes four end-use services (space heating, water heating, air conditioning, and others), up to seven fuel/technology types (dependent upon the end use service), two housing types, four structure vintages, and four Census regions. When the model is run as a module in IFFS, a sharing scheme further disaggregates the model to 10 Federal regions.

Holte, J.A.

1984-02-01T23:59:59.000Z

125

Section D: SPACE HEATING  

U.S. Energy Information Administration (EIA)

2005 Residential Energy Consumption Survey Form EIA-457A (2005)--Household Questionnaire OMB No.: 1905-0092, Expiring May 31, 2008 33 Section D: SPACE HEATING

126

Household Vehicles Energy Consumption 1991  

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

. . Trends in Household Vehicle Stock The 1991 RTECS counted more than 150 million vehicles in use by U.S. households. This chapter examines recent trends in the vehicle stock, as measured by the RTECS and other reputable vehicle surveys. It also provides some details on the type and model year of the household vehicle stock, and identifies regional differences in vehicle stock. Because vehicles are continuously being bought and sold, this chapter also reports findings relating to turnover of the vehicle stock in 1991. Finally, it examines the average vehicle stock in 1991 (which takes into account the acquisition and disposal of household vehicles over the course of the year) and identifies variations in the average number of household vehicles based on differences in household characteristics. Number of Household Vehicles Over the past 8 years, the stock of household vehicles has

127

Household Vehicles Energy Consumption 1991  

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

Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

128

Projecting household energy consumption within a conditional demand framework  

SciTech Connect

Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

Teotia, A.; Poyer, D.

1991-01-01T23:59:59.000Z

129

Projecting household energy consumption within a conditional demand framework  

Science Conference Proceedings (OSTI)

Few models attempt to assess and project household energy consumption and expenditure by taking into account differential household choices correlated with such variables as race, ethnicity, income, and geographic location. The Minority Energy Assessment Model (MEAM), developed by Argonne National Laboratory (ANL) for the US Department of Energy (DOE), provides a framework to forecast the energy consumption and expenditure of majority, black, Hispanic, poor, and nonpoor households. Among other variables, household energy demand for each of these population groups in MEAM is affected by housing factors (such as home age, home ownership, home type, type of heating fuel, and installed central air conditioning unit), demographic factors (such as household members and urban/rural location), and climate factors (such as heating degree days and cooling degree days). The welfare implications of the revealed consumption patterns by households are also forecast. The paper provides an overview of the model methodology and its application in projecting household energy consumption under alternative energy scenarios developed by Data Resources, Inc., (DRI).

Teotia, A.; Poyer, D.

1991-12-31T23:59:59.000Z

130

Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products  

E-Print Network (OSTI)

Household Hazardous Waste Household hazardous waste is the discarded, unused, or leftover portion of household products containing toxic chemicals. These wastes CANNOT be disposed of in regular garbage. Any should be considered hazardous. You cannot treat hazardous wastes like other kinds of garbage

de Lijser, Peter

131

Water Heating | Department of Energy  

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

need to know about saving money on water heating costs Read more Selecting a New Water Heater Tankless? Storage? Solar? Save money on your water heating bill by choosing the right...

132

Characterizing Household Plug Loads through Self-Administered Load Research  

Science Conference Proceedings (OSTI)

Household miscellaneous loads, which include consumer electronics, are the fastest growing segment of household energy use in the United States. Although the relative energy intensity of applications such as heating and cooling is declining, the DOEAnnual Energy Outlook forecasts that the intensity of residential miscellaneous end uses will increase substantially by 2030. Studies by TIAX and Ecos Consulting reveal that miscellaneous devices8212smaller devices in terms of energy draw but growing in usage8...

2009-12-09T23:59:59.000Z

133

Households to pay more than expected to stay warm this winter  

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

stay warm this winter Following a colder-than-expected November, U.S. households are forecast to consume more heating fuels than previously expected....resulting in higher heating...

134

Householder’s Perceptions of Insulation Adequacy and Drafts in the Home in 2001  

E-Print Network (OSTI)

In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality. The analysis of the 2001 RECS data shows that householders in newlyconstructed homes perceived their homes to be better insulated and less drafty than do householders in older homes. Single-family homes are perceived to be better insulated and less drafty than are apartments in buildings with two to four units. Cross-variable comparisons also provide the associations between the level of insulation and winter drafts in the homes with household characteristics and location of the home.

Behjat Hojjati

2004-01-01T23:59:59.000Z

135

Stakeholder Engagement and Outreach: USDA Farm Bill State Workshop  

Wind Powering America (EERE)

Rural Rural Communities Printable Version Bookmark and Share Agricultural & Rural Farm Bill Outreach Articles Wind for Homeowners, Farmers, & Businesses Wind Farms Resources & Tools Native Americans USDA Farm Bill State Workshop Materials The Farm Bill presentations below were used at four Farm Bill Workshops in Montana, February 2004. We encourage state wind working groups to use the presentations below in their state workshops to help farmers, ranchers, and rural small businesses take advantage of the USDA Farm Bill (Section 9006) grants for renewable energy projects. These presentations will help those interested in developing wind projects to organize, write, and submit an application for funding assistance under the Farm Bill. Introduction to Wind Energy Applications

136

Plug-in privacy for Smart Metering billing  

E-Print Network (OSTI)

Smart Metering is a concept that allows to collect fine-grained consumption profiles from customers by replacing traditional electricity meters with Smart Meters in customers' households. The recorded consumption profile is the basis for the calculation of time-dependent tariffs but also allows deduction of the inhabitant's personal schedules and habits. The current reporting of such consumption profiles only protects this data from 3rd parties but falls short to protect the customer's privacy from illegitimate abuse by the supplier itself. We propose a privacy-preserving profile reporting protocol that enables billing for time-dependent tariffs without disclosing the actual data of the consumption profile to the supplier. Our approach relies on a zero-knowledge proof based on Pedersen Commitments performed by a plug-in privacy component that is put into the communication link between Smart Meter and supplier's back-end systems and requires no change to Smart Meter hardware and only little change to the softw...

Jawurek, Marek; Kerschbaum, Florian

2010-01-01T23:59:59.000Z

137

ac_household2001.pdf  

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

Air Conditioning Tables Air Conditioning Tables (Million U.S. Households; 24 pages, 138 kb) Contents Pages HC4-1a. Air Conditioning by Climate Zone, Million U.S. Households, 2001 2 HC4-2a. Air Conditioning by Year of Construction, Million U.S. Households, 2001 2 HC4-3a. Air Conditioning by Household Income, Million U.S. Households, 2001 2 HC4-4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 2 HC4-5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 2 HC4-6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 2 HC4-7a. Air Conditioning by Four Most Populated States, Million U.S. Households, 2001 2 HC4-8a. Air Conditioning by Urban/Rural Location, Million U.S. Households, 2001 2

138

Advanced Billing and Customer Specification Requirements  

Science Conference Proceedings (OSTI)

The ability to bill and serve customers well will be key to whether an energy company ultimately succeeds in the emerging retail marketplace. This document provides the essential planning and implementation framework needed by an energy company to reconstruct its back-office to meet these objectives.

1997-09-24T23:59:59.000Z

139

Senate Bill No. 1 CHAPTER 132  

E-Print Network (OSTI)

, Murray. Electricity: solar energy: net metering. (1) Existing law requires the State Energy Resources sources of energy, including solar resources. Existing law requires the Energy Commission to develop of solar energy and to provide maximum information to the public concerning solar devices. This bill would

140

Assembly Bill No. 1632 CHAPTER 722  

E-Print Network (OSTI)

capability both in and out of state, natural gas interstate and intrastate pipeline capacity, storage and use the commission, in its report, to consider electricity and natural gas forecasting and assessment activities, as specified, in reporting on electricity and natural gas markets. This bill would require the commission

Note: This page contains sample records for the topic "household heating bills" 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

Look Up to See Your Bills Go Down: Making Your Attic More Efficient |  

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

Look Up to See Your Bills Go Down: Making Your Attic More Efficient Look Up to See Your Bills Go Down: Making Your Attic More Efficient Look Up to See Your Bills Go Down: Making Your Attic More Efficient July 18, 2011 - 5:29pm Addthis Allison Casey Senior Communicator, NREL This year at my house, we have been on a quest to make our attic more energy efficient. I think we realized just how much this unseen area contributes to our overall comfort -not to mention what we pay to heat and cool the house. The first thing we did was install more insulation this winter. In addition to the tax credits we'll be able to claim, there were several incentives available from our state and utility that made it a great time for us to make this improvement. Following the installation, we noticed an immediate improvement in the overall comfort of our home and the furnace seemed to

142

Look Up to See Your Bills Go Down: Making Your Attic More Efficient |  

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

Look Up to See Your Bills Go Down: Making Your Attic More Efficient Look Up to See Your Bills Go Down: Making Your Attic More Efficient Look Up to See Your Bills Go Down: Making Your Attic More Efficient July 18, 2011 - 5:29pm Addthis Allison Casey Senior Communicator, NREL This year at my house, we have been on a quest to make our attic more energy efficient. I think we realized just how much this unseen area contributes to our overall comfort -not to mention what we pay to heat and cool the house. The first thing we did was install more insulation this winter. In addition to the tax credits we'll be able to claim, there were several incentives available from our state and utility that made it a great time for us to make this improvement. Following the installation, we noticed an immediate improvement in the overall comfort of our home and the furnace seemed to

143

Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico | Department  

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

Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico November 3, 2010 - 10:00am Addthis Stephen Graff Former Writer & editor for Energy Empowers, EERE What does this mean for me? 150 new jobs. 1200 solar water heaters installed. In Puerto Rico, solar water heaters have been popular for decades. But even with energy savings, not everyone can afford one. Through a new Recovery Act-funded program for the island, more families are showering with water heated by the sun. The U.S. Department of Energy's new Weatherization Assistance Program (WAP) in Puerto Rico has made it a priority to install the systems in homes of income-eligible residents, as part of its weatherization assistance services. The Puerto Rico Energy Affairs Administration (PREAA), which

144

Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network (OSTI)

the ?uctuations in electricity bills that are conceivable.concern about analyzing electricity bill volatility of largeat a The issue of electricity bill volatility from RTP

Borenstein, Severin

2007-01-01T23:59:59.000Z

145

Residential energy consumption and expenditure patterns of black and nonblack households in the United States  

Science Conference Proceedings (OSTI)

Residential energy consumption and expenditures by black and nonblack households are presented by Census region and for the nation based on the Energy Information Administration's 1982-83 Residential Energy Consumption Survey (RECS). Black households were found to have significantly lower levels of electricity consumption at both the national and regional level. Natural gas is the dominant space heating fuel used by black households. Natural gas consumption was typically higher for black households. However, when considering natural gas consumption conditional on natural gas space heating no significant differences were found. 10 refs., 1 fig., 8 tabs.

Vyas, A.D.; Poyer, D.A.

1987-01-01T23:59:59.000Z

146

Household Vehicles Energy Consumption 1991  

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

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

147

ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill...  

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

Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott...

148

Energy Spending and Vulnerable Households  

E-Print Network (OSTI)

 off than before. In particular large households with low  incomes seem to have been adversely affected by the new tariff structures since  they have comparably large energy expenditure (Bennet et al., 2002).    5. Vulnerable Households and Energy Spending  The...  tariffs can play an important part in the public debate  on  eradicating  fuel  poverty  and  helping  the  vulnerable  households.  Smart  metering  can  provide  consumers  with  information  on  the  actual  energy  consumption and might  lead  to...

Jamasb, Tooraj; Meier, Helena

2011-01-26T23:59:59.000Z

149

Household Vehicles Energy Consumption 1991  

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

DOEEIA-0464(91) Distribution Category UC-950 Household Vehicles Energy Consumption 1991 December 1993 Energy Information Administration Office of Energy Markets and End Use U.S....

150

Household Energy Consumption and Expenditures  

Reports and Publications (EIA)

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

Information Center

2008-09-01T23:59:59.000Z

151

Table 5C. Industrial Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Home > Electricity > Electric Sales, Revenue, and Price > Industrial Average Monthly Bill by Census Division, and State: Table 5C. Industrial ...

152

Solar home heating in Michigan  

Science Conference Proceedings (OSTI)

This booklet presents the fundamentals of solar heating for both new and existing homes. A variety of systems for space heating and household water heating are explained, and examples are shown of solar homes and installations in Michigan.

Not Available

1984-01-01T23:59:59.000Z

153

Billings, Montana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Billings, Montana: Energy Resources Billings, Montana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.7832856°, -108.5006904° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.7832856,"lon":-108.5006904,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

154

Billings, Montana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Billings, MT) Billings, MT) Jump to: navigation, search Equivalent URI DBpedia Coordinates 45.7832856°, -108.5006904° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.7832856,"lon":-108.5006904,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

155

char_household2001.pdf  

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

3a. Household Characteristics by Household Income, 3a. Household Characteristics by Household Income, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.6 1.3 1.1 1.0 0.9 1.4 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.3 Household Size 1 Person ....................................... 28.2 9.7 -- -- -- 6.5 11.3 5.7 2 Persons ...................................... 35.1 4.3 -- -- -- 2.0 7.8 5.8 3 Persons ...................................... 17.0 -- 3.3 -- -- 2.2 5.2 7.3 4 Persons ...................................... 15.6 -- 2.2 -- -- -- 4.3 8.1 5 Persons ...................................... 7.1

156

char_household2001.pdf  

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

2a. Household Characteristics by West Census Region, 2a. Household Characteristics by West Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.8 1.1 Total .............................................................. 107.0 23.3 6.7 16.6 NE Household Size 1 Person ...................................................... 28.2 5.6 1.8 3.8 5.4 2 Persons .................................................... 35.1 7.3 1.9 5.5 4.9 3 Persons .................................................... 17.0 3.5 0.9 2.6 7.6 4 Persons .................................................... 15.6 3.5 1.1 2.4 6.4 5 Persons .................................................... 7.1 2.0 0.6 1.4 9.7 6 or More Persons

157

Household Vehicles Energy Consumption 1991  

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

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

158

char_household2001.pdf  

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

0a. Household Characteristics by Midwest Census Region, 0a. Household Characteristics by Midwest Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.7 Total .............................................................. 107.0 24.5 17.1 7.4 NE Household Size 1 Person ...................................................... 28.2 6.7 4.7 2.0 6.2 2 Persons .................................................... 35.1 8.0 5.4 2.6 5.0 3 Persons .................................................... 17.0 3.8 2.7 1.1 7.9 4 Persons .................................................... 15.6 3.5 2.5 1.0 8.1 5 Persons .................................................... 7.1 1.7

159

Comparison of actual and predicted energy savings in Minnesota gas-heated single-family homes  

Science Conference Proceedings (OSTI)

Data available from a recent evaluation of a home energy audit program in Minnesota are sufficient to allow analysis of the actual energy savings achieved in audited homes and of the relationship between actual and predicted savings. The program, operated by Northern States Power in much of the southern half of the state, is part of Minnesota's version of the federal Residential Conservation Service. NSP conducted almost 12 thousand RCS audits between April 1981 (when the progam began) and the end of 1982. The data analyzed here, available for 346 homes that obtained an NSP energy audit, include monthly natural gas bills from October 1980 through April 1983; heating degree day data matched to the gas bills; energy audit reports; and information on household demographics, structure characteristics, and recent conservation actions from mail and telephone surveys. The actual reduction in weather-adjusted natural gas use between years 1 and 3 averaged 19 MBtu across these homes (11% of preprogram consumption); the median value of the saving was 16 MBtu/year. The variation in actual saving is quite large: gas consumption increased in almost 20% of the homes, while gas consumption decreased by more than 50 MBtu/year in more than 10% of the homes. These households reported an average expenditure of almost $1600 for the retrofit measures installed in their homes; the variation in retrofit cost, while large, was not as great as the variation in actual natural gas savings.

Hirst, E.; Goeltz, R.

1984-03-01T23:59:59.000Z

160

Extending Efficiency Services to Underserved Households: NYSERDA...  

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

Extending Efficiency Services to Underserved Households: NYSERDA's Assisted Home Performance with ENERGY STAR Program Title Extending Efficiency Services to Underserved Households:...

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


161

Residential energy use and conservation actions: analysis of disaggregate household data  

Science Conference Proceedings (OSTI)

The Energy Information Administration recently published data they collected from the National Interim Energy Consumption Survey (NIECS). NIECS includes detailed information on 4081 individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances therein, recent conservation actions taken by the household, and fuel consumption and cost for the April 1978 to March 1979 one-year period. This data set provides a new and valuable resource for analysis. The NIECS data on household energy consumption - total energy use, electricity use, and use of the primary space heating fuel, are summarized and analyzed. The regression equations constructed explain roughly half the variation in energy use among households. These equations contain ten or fewer independent variables, the most important of which are fuel price, year house was built, floor area, and heating degree days. Regression equations were developed that estimate the energy saving achieved by each household based on their recent retrofit actions. These equations predict 20 to 40% of the variation among households. Total annual energy use is the most important determinant of retrofit energy saving; other significant variables include age of household head, household income, year house was built, housing tenure, and proxies for the cost of heating and air conditioning the house.

Hirst, E.; Goeltz, R.; Carney, J.

1981-03-01T23:59:59.000Z

162

Household vehicles energy consumption 1994  

SciTech Connect

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

163

EIA - Household Transportation report: Household Vehicles Energy Use:  

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

Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Use: Latest Data & Trends November 2005 Release (Next Update: Discontinued) Based on the 2001 National Household Travel Survey conducted by the U.S. Department of Transportation and augmented by EIA Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses in an effort to maintain consistency with its past residential transportation series, which was discontinued after 1994. This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of this report is to release the latest consumer-based data

164

Modelling the Energy Demand of Households in a Combined  

E-Print Network (OSTI)

. Emissions from passenger transport, households'electricity and heat consumption are growing rapidly despite demand analysis for electricity (e.g. Larsen and Nesbakken, 2004; Holtedahl and Joutz, 2004; Hondroyiannis, 2004) and passenger cars (Meyer et al., 2007). Some recent studies cover the whole residential

Steininger, Karl W.

165

Impacts of Water Quality on Residential Water Heating Equipment  

SciTech Connect

Water heating is a ubiquitous energy use in all residential housing, accounting for 17.7% of residential energy use (EIA 2012). Today, there are many efficient water heating options available for every fuel type, from electric and gas to more unconventional fuel types like propane, solar, and fuel oil. Which water heating option is the best choice for a given household will depend on a number of factors, including average daily hot water use (total gallons per day), hot water draw patterns (close together or spread out), the hot water distribution system (compact or distributed), installation constraints (such as space, electrical service, or venting accommodations) and fuel-type availability and cost. While in general more efficient water heaters are more expensive than conventional water heating technologies, the savings in energy use and, thus, utility bills can recoup the additional upfront investment and make an efficient water heater a good investment over time in most situations, although the specific payback period for a given installation will vary widely. However, the expected lifetime of a water heater in a given installation can dramatically influence the cost effectiveness and savings potential of a water heater and should be considered, along with water use characteristics, fuel availability and cost, and specific home characteristics when selecting the optimum water heating equipment for a particular installation. This report provides recommendations for selecting and maintaining water heating equipment based on local water quality characteristics.

Widder, Sarah H.; Baechler, Michael C.

2013-11-01T23:59:59.000Z

166

Cover Page of Household Vehicles Energy Use: Latest Data & Trends  

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

Household Vehicles Energy Use Cover Page Cover Page of Household Vehicles Energy Use: Latest Data & Trends...

167

Household Vehicles Energy Consumption 1994  

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

W as hi ng to n, DC DOEEIA-0464(94) Distribution Category UC-950 Household Vehicles Energy Consumption 1994 August 1997 Energy Information Administration Office of Energy Markets...

168

ac_household2001.pdf  

Annual Energy Outlook 2012 (EIA)

2a. Air Conditioning by West Census Region, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total...

169

Household vehicles energy consumption 1991  

Science Conference Proceedings (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

170

Household savings and portfolio choice  

E-Print Network (OSTI)

This thesis consists of three essays that examine household savings and portfolio choice behavior. Chapter One analyses the effects of employer matching contributions and tax incentives on participation and contribution ...

Klein, Sean Patrick

2010-01-01T23:59:59.000Z

171

Apartment Hunting - Part II - Keeping those Energy Bills Down |  

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

- Part II - Keeping those Energy Bills Down - Part II - Keeping those Energy Bills Down Apartment Hunting - Part II - Keeping those Energy Bills Down August 23, 2010 - 5:17pm Addthis Kyle Rudzinski Special Assistant to the Director of Technology Advancement and Outreach, EERE I recently went looking for a new apartment. And though my parents may say I'm stingy, I like to think I'm economical. Or better yet, I'm a bargain hunter. I asked myself three main questions when looking for my new place: How far is it from public transit and community businesses? Can I keep my energy bills to a minimum? What's the rent? In the second of two entries on apartment hunting, I discuss things to look for that might help keep your energy bills low. When you think about it, energy bills can, in effect, increase your rent

172

Residential Energy Consumption for Water Heating (2005) Provides...  

Open Energy Info (EERE)

Residential Energy Consumption for Water Heating (2005) Provides total and average annual residential energy consumption for water heating in U.S. households in 2005, measured in...

173

Table 5A. Residential Average Monthly Bill by Census Division ...  

U.S. Energy Information Administration (EIA)

Table 5A. Residential Average Monthly Bill by Census Division, and State, 2009: Census Division State Number of Consumers Average Monthly Consumption ...

174

Table 5B. Commercial average monthly bill by census division...  

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

" Census Division " " State ","Number of Consumers "," Average Monthly Consumption (kWh)","Price (Cents per Kilowatthour)","Average Monthly Bill (Dollar and cents)" "New...

175

Consumer Winter Heating Oil Costs  

Gasoline and Diesel Fuel Update (EIA)

7 of 18 Notes: Using the Northeast as an appropriate regional focus for heating oil, the typical oil-heated household consumes about 680 gallons of oil during the winter, assuming...

176

Econometric analysis of energy use in urban households  

SciTech Connect

This article analyzes the pattern of energy carrier consumption in the residential sector of Bangalore, a major city in south India. A 1,000-household survey was used to study the type of energy carrier used by households in different income groups for different end-uses, such as cooking, water heating, and lighting. The dependence of income on the carrier utilized is established using a carrier dependence index. Using regression analysis, the index analyses the impact of different explanatory variables such as family income, family size, and price of energy carrier on consumption. The results show that income plays an important role not only in the selection of an energy carrier but also on the quantity of consumption per household. Also, a source-service matrix is prepared for Bangalore`s residential sector, which shows the disaggregation of energy consumption by the type of energy carrier and end-use.

Reddy, B.S. [Indira Gandhi Inst. of Development Research, Bombay (India)

1995-05-01T23:59:59.000Z

177

char_household2001.pdf  

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

a. Household Characteristics by Climate Zone, a. Household Characteristics by Climate Zone, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Household Size 1 Person ....................................... 28.2 2.5 8.1 6.5 4.8 6.2 9.9 2 Persons ...................................... 35.1 3.1 9.4 8.2 6.5 7.9 8.7 3 Persons ...................................... 17.0 1.3 4.3 4.0 3.3 4.1 10.7 4 Persons ...................................... 15.6 1.4 3.9 3.4 3.4 3.5 10.5 5 Persons ......................................

178

char_household2001.pdf  

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

6a. Household Characteristics by Type of Rented Housing Unit, 6a. Household Characteristics by Type of Rented Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total Rented Units ........................ 34.3 10.5 7.4 15.2 1.1 6.9 Household Size 1 Person ....................................... 12.3 2.5 2.6 7.0 0.3 10.0 2 Persons ...................................... 9.2 2.5 2.5 4.1 Q 11.8 3 Persons ...................................... 5.4 2.0 1.1 2.0 0.4 13.9 4 Persons ...................................... 3.8 1.6 0.7 1.4 Q 17.7 5 Persons ...................................... 2.0 0.9 0.4 0.6 Q 24.1 6 or More Persons ........................

179

char_household2001.pdf  

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

5a. Household Characteristics by Type of Owner-Occupied Housing Unit, 5a. Household Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.3 0.4 2.0 2.9 1.3 Total Owner-Occupied Units ....... 72.7 63.2 2.1 1.8 5.7 6.7 Household Size 1 Person ....................................... 15.8 12.5 0.8 0.9 1.6 10.3 2 Persons ...................................... 25.9 23.4 0.5 0.5 1.5 10.1 3 Persons ...................................... 11.6 9.6 0.5 Q 1.3 12.1 4 Persons ...................................... 11.8 10.9 Q Q 0.7 15.7 5 Persons ...................................... 5.1 4.5 Q Q 0.4 24.2 6 or More Persons

180

char_household2001.pdf  

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

1a. Household Characteristics by South Census Region, 1a. Household Characteristics by South Census Region, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.1 1.5 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Household Size 1 Person ...................................................... 28.2 9.9 5.0 1.8 3.1 6.3 2 Persons .................................................... 35.1 13.0 6.7 2.5 3.8 4.2 3 Persons .................................................... 17.0 6.6 3.7 1.2 1.7 8.8 4 Persons .................................................... 15.6 6.0 3.3 0.8 1.9 10.7 5 Persons ....................................................

Note: This page contains sample records for the topic "household heating bills" 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

char_household2001.pdf  

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

8a. Household Characteristics by Urban/Rural Location, 8a. Household Characteristics by Urban/Rural Location, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Urban/Rural Location 1 RSE Row Factors City Town Suburbs Rural 0.5 0.8 1.4 1.3 1.4 Total .............................................................. 107.0 49.9 18.0 21.2 17.9 4.1 Household Size 1 Person ...................................................... 28.2 14.6 5.3 4.8 3.6 6.4 2 Persons .................................................... 35.1 15.7 5.7 6.9 6.8 5.4 3 Persons .................................................... 17.0 7.6 2.8 3.5 3.1 7.2 4 Persons .................................................... 15.6 6.8 2.3 4.1 2.4 8.1 5 Persons .................................................... 7.1 3.1 1.3 1.3 1.4 12.3 6 or More Persons

182

homeoffice_household2001.pdf  

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

3a. Home Office Equipment by Household Income, 3a. Home Office Equipment by Household Income, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.4 1.9 1.2 1.0 0.6 1.9 0.9 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 47.6 3.0 Households Using Office Equipment .......................... 96.2 13.2 19.8 25.5 37.7 10.7 38.8 3.2 Personal Computers 2 ................... 60.0 3.7 8.7 16.0 31.6 3.7 17.4 4.6 Number of Desktop PCs 1 .................................................. 45.1 2.8 7.1 12.8 22.4 2.8 13.6 5.1 2 or more .................................... 9.1 0.6 0.7 1.7 6.2 0.6 2.2 13.0 Number of Laptop PCs

183

char_household2001.pdf  

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

2a. Household Characteristics by Year of Construction, 2a. Household Characteristics by Year of Construction, Million U.S. Households, 2001 Household Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.6 1.2 1.0 1.2 1.2 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Household Size 1 Person ....................................... 28.2 2.5 4.5 5.1 4.0 3.7 8.3 7.5 2 Persons ...................................... 35.1 4.8 6.2 6.6 4.5 5.3 7.8 5.8 3 Persons ...................................... 17.0 2.5 3.3 2.9 2.3 1.9 4.1 8.4 4 Persons ...................................... 15.6 3.4 2.8 2.3 1.9 1.8 3.4 9.6 5 Persons ...................................... 7.1 1.6 1.2 1.3 0.6 0.7 1.6 14.3 6 or More Persons

184

E:\BILLS\H6.PP  

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

July 14, 2005 July 14, 2005 Ordered to be printed as passed In the Senate of the United States, June 28, 2005. Resolved, That the bill from the House of Representa- tives (H.R. 6) entitled ''An Act to ensure jobs for our future with secure, affordable, and reliable energy.'', do pass with the following AMENDMENT: Strike out all after the enacting clause and insert: SECTION 1. SHORT TITLE; TABLE OF CONTENTS. 1 (a) SHORT TITLE.-This Act may be cited as the ''En- 2 ergy Policy Act of 2005''. 3 2 HR 6 PAP (b) TABLE OF CONTENTS.-The table of contents of this 1 Act is as follows: 2 Sec. 1. Short title; table of contents. Sec. 2. Definitions. TITLE I-ENERGY EFFICIENCY Subtitle A-Federal Programs Sec. 101. Energy and water saving measures in congressional buildings. Sec. 102. Energy management requirements.

185

Tips: Water Heating | Department of Energy  

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

Tips: Water Heating Tips: Water Heating Tips: Water Heating May 2, 2012 - 4:53pm Addthis Keep Your Energy Bills Out of Hot Water. Insulate your water heater to save energy and money, or choose an on-demand hot water heater to save even more. Keep Your Energy Bills Out of Hot Water. Insulate your water heater to save energy and money, or choose an on-demand hot water heater to save even more. Water heating is the second largest energy expense in your home. It typically accounts for about 18% of your utility bill. There are four ways to cut your water heating bills: use less hot water, turn down the thermostat on your water heater, insulate your water heater, or buy a new, more efficient model. Water Heating Tips Install aerating, low-flow faucets and showerheads. Repair leaky faucets promptly; a leaky faucet wastes gallons of

186

Tips: Water Heating | Department of Energy  

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

Water Heating Water Heating Tips: Water Heating May 2, 2012 - 4:53pm Addthis Keep Your Energy Bills Out of Hot Water. Insulate your water heater to save energy and money, or choose an on-demand hot water heater to save even more. Keep Your Energy Bills Out of Hot Water. Insulate your water heater to save energy and money, or choose an on-demand hot water heater to save even more. Water heating is the second largest energy expense in your home. It typically accounts for about 18% of your utility bill. There are four ways to cut your water heating bills: use less hot water, turn down the thermostat on your water heater, insulate your water heater, or buy a new, more efficient model. Water Heating Tips Install aerating, low-flow faucets and showerheads. Repair leaky faucets promptly; a leaky faucet wastes gallons of

187

Solar heat collector  

Science Conference Proceedings (OSTI)

A solar heat collector is described that pre-heats water for a household hot water heating system, and also heats the air inside a house. The device includes solar heating panels set into an A-shape, and enclosing an area therein containing a water tank and a wristatic fan that utilize the heat of the enclosed air, and transmit the thermal energy therefrom through a water line and an air line into the house.

Sykes, A.B.

1981-07-28T23:59:59.000Z

188

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network (OSTI)

HOW MANY HYBRID HOUSEHOLDS IN THE CALIFORNIA NEW CAR MARKET?average 2.43 cars per household, then the hybrid householdnumber of multi-car households that fit our hybrid household

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

189

A leasing instances based billing model for cloud computing  

Science Conference Proceedings (OSTI)

As a new technology in IT industry, cloud computing has been much focused by both academia and industry. And many topics in cloud computing are under study. However, as one of the most important issue, billing and pricing has been not so much concerned. ... Keywords: billing model, cloud computing, leasing instances, pricing

Qin Yuan; Zhixiang Liu; Junjie Peng; Xing Wu; Jiandun Li; Fangfang Han; Qing Li; Wu Zhang; Xinjin Fan; Shengyuan Kong

2011-05-01T23:59:59.000Z

190

Heating Energy Meter Validation for Apartments  

E-Print Network (OSTI)

Household heat metering is the core of heating system reform. Because of many subjective and objective factors, household heat metering has not been put into practice to a large extent in China. In this article, the research subjects are second-stage buildings of the Kouan residential area in Baotou. Through the collection and processing of heat meters' data, reliability of data is analyzed, the main influencing factors for heat meters are discussed, and recommendations for heating pricing are presented.

Cai, B.; Li, D.; Hao, B.

2006-01-01T23:59:59.000Z

191

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

E-Print Network (OSTI)

a direct comparison of electricity bills between customersincludes both bill credits for electricity exported to thethe meter”). Bill credits for PV electricity production in

Darghouth, Naim

2010-01-01T23:59:59.000Z

192

Household energy in South Asia  

Science Conference Proceedings (OSTI)

This research study on the use of energy in South Asis (India, Pakistan, Sri Lanka and Bangladesh) was sponsored by the Food and Agriculture Organization of the UN, the International Bank for Reconstruction and Development (the World Bank), and the Directorate-General for Development of the Commission of the European Communities. The aim of this book is to improve the understanding of household energy and its linkages, by reviewing the data resources on household energy use, supply, prices and other relevant factors that exist in South Asia.

Leach, G.

1987-01-01T23:59:59.000Z

193

Section D: SPACE HEATING - Energy Information Administration  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey Form EIA-457A (2001)--Household Questionnaire OMB No.: 1905-0092, Expiring February 29, 2004 19 Section D: SPACE HEATING

194

Section E: WATER HEATING - Energy Information Administration  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey Form EIA-457A (2001)--Household Questionnaire OMB No.: 1905-0092, Expiring February 29, 2004 24 Section E: WATER HEATING

195

Appliance Commitment for Household Load Scheduling  

Science Conference Proceedings (OSTI)

This paper presents a novel appliance commitment algorithm that schedules thermostatically-controlled household loads based on price and consumption forecasts considering users comfort settings to meet an optimization objective such as minimum payment or maximum comfort. The formulation of an appliance commitment problem was described in the paper using an electrical water heater load as an example. The thermal dynamics of heating and coasting of the water heater load was modeled by physical models; random hot water consumption was modeled with statistical methods. The models were used to predict the appliance operation over the scheduling time horizon. User comfort was transformed to a set of linear constraints. Then, a novel linear, sequential, optimization process was used to solve the appliance commitment problem. The simulation results demonstrate that the algorithm is fast, robust, and flexible. The algorithm can be used in home/building energy-management systems to help household owners or building managers to automatically create optimal load operation schedules based on different cost and comfort settings and compare cost/benefits among schedules.

Du, Pengwei; Lu, Ning

2011-06-30T23:59:59.000Z

196

Assumptions to the Annual Energy Outlook 2002 - Household Expenditures...  

Annual Energy Outlook 2012 (EIA)

Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and...

197

appl_household2001.pdf  

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

3a. Appliances by Household Income, 3a. Appliances by Household Income, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total 2001 Household Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factors Less than $14,999 $15,000 to $29,999 $30,000 to $49,999 $50,000 or More 0.5 1.4 1.1 1.0 0.8 1.6 1.0 Total ............................................... 107.0 18.7 22.9 27.1 38.3 15.0 33.8 3.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2 1 ................................................ 95.2 17.3 21.1 24.8 32.0 13.8 31.1 3.4 2 or More .................................. 6.5 0.8 0.9 1.3 3.6 0.6 1.5 13.1 Most Used Oven ........................ 101.7 18.0 22.0 26.1 35.6 14.4 32.6 3.2

198

Expected annual electricity bill savings for various PPA price options |  

Open Energy Info (EERE)

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

199

Household energy handbook: an interim guide and reference manual. World Bank technical paper  

SciTech Connect

A standard framework for measuring and assessing technical information on the household energy sector in developing countries is needed. The handbook is intended as a first step toward creating such a framework. Chapter I discusses energy terms and principles underlying the energy units, definitions, and calculations presented in the following chapters. Chapter II describes household consumption patterns and their relationship to income, location, and household-size variables. Chapter III evaluates energy end uses and the technologies that provide cooking, lighting, refrigeration, and space-heating services. Chapter IV examines household energy resources and supplies, focusing on traditional biomass fuels. Finally, Chapter V demonstrates simple assessment methods and presents case studies to illustrate how household energy data can be used in different types of assessments.

Leach, G.; Gowen, M.

1987-01-01T23:59:59.000Z

200

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

E-Print Network (OSTI)

Penetrations on Electricity Bill Savings from ResidentialPENETRATIONS ON ELECTRICITY BILL SAVINGS FROM RESIDENTIALBill Savings In this paper, we have chosen two compensation mechanisms for electricity

Barbose, Galen

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household heating bills" 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

Household Energy Consumption and Expenditures 1993 -- Executive ...  

U.S. Energy Information Administration (EIA)

national level data on energy-related issues on households and energy expenditures in the residential sector.

202

RDI's Wisdom Way Solar Village Final Report: Includes Utility Bill Analysis of Occupied Homes  

DOE Green Energy (OSTI)

7. 2-4 bedrooms, 1,100-1,700 ft2. The design heating loads in the homes were so small that each home is heated with a single, sealed-combustion, natural gas room heater. The cost savings from the simple HVAC systems made possible the tremendous investments in the homes' envelopes. The Consortium for Advanced Residential Buildings (CARB) monitored temperatures and comfort in several homes during the winter of 2009-2010. In the Spring of 2011, CARB obtained utility bill information from 13 occupied homes. Because of efficient lights, appliances, and conscientious home occupants, the energy generated by the solar electric systems exceeded the electric energy used in most homes. Most homes, in fact, had a net credit from the electric utility over the course of a year. On the natural gas side, total gas costs averaged $377 per year (for heating, water heating, cooking, and clothes drying). Total energy costs were even less - $337 per year, including all utility fees. The highest annual energy bill for any home evaluated was $458; the lowest was $171.

Robb Aldrich, Steven Winter Associates

2011-07-01T23:59:59.000Z

203

Omnibus Energy Bill of 2013 (Maine) | Department of Energy  

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

Omnibus Energy Bill of 2013 (Maine) Omnibus Energy Bill of 2013 (Maine) Omnibus Energy Bill of 2013 (Maine) < 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 Buying & Making Electricity Water Wind Program Info State Maine Program Type Climate Policies Generating Facility Rate-Making Green Power Purchasing Interconnection Line Extension Analysis Loan Program Public Benefits Fund Renewables Portfolio Standards and Goals

204

Energy conservation for household refrigerators and water heaters  

Science Conference Proceedings (OSTI)

An energy conservation arrangement for household refrigerators and water heaters, in which the source of cold water to the hot water heater is divided and part is caused to flow through and be warmed in the condenser of the refrigerator. The warmed water is then further heated in the oil cooling loop of the refrigerator compressor, and proceeds then to the top of the hot water tank.

Speicher, T. L.

1984-12-11T23:59:59.000Z

205

Consumer Tips for Lowering Your Utility Bill | Open Energy Information  

Open Energy Info (EERE)

Consumer Tips for Lowering Your Utility Bill Consumer Tips for Lowering Your Utility Bill Jump to: navigation, search Whether you are a residential or commercial customer, your monthly utility bill contains a wide range of data such as how much energy you use, what your current rate is, and detailed fees. Depending on how much information your utility provider offers, you can refer to it along with these tips to reduce your energy use and save money. For in-depth tips on saving energy and money at home, visit EnergySavers.gov. If you have 13 months of historical data on your bill: See if you're using more energy now than you did during the same month last year. Are you using more energy? Look for ways to use less electricity such as purchasing energy efficient appliances and lighting and using a programmable thermostat.

206

DOE - Office of Legacy Management -- Billings Hospital - Small Animal  

Office of Legacy Management (LM)

Billings Hospital - Small Animal Billings Hospital - Small Animal Facility - University of Chicago - IL 01 FUSRAP Considered Sites Site: Billings Hospital, Small Animal Facility, University of Chicago (IL 01) Eliminated from consideration under FUSRAP due to limited scope of activities and 15 day half-life of P-32 Designated Name: Not Designated Alternate Name: Small Animal Facility, U. of Chicago IL.01-1 Location: University of Chicago , Chicago , Illinois IL.01-1 Evaluation Year: 1979 IL.01-1 Site Operations: Nature of operations is not clear. Portions of Billings Hospital were reported to have been used as an animal research facility. IL.01-1 Site Disposition: Eliminated IL.01-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Phosphorus - 32 IL.01-1

207

DOE Names Bill Drummond As New Bonneville Power Administration  

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

Names Bill Drummond As New Bonneville Power Administration Names Bill Drummond As New Bonneville Power Administration Administrator DOE Names Bill Drummond As New Bonneville Power Administration Administrator January 16, 2013 - 7:00pm Addthis News Media Contact (202) 586-4940 WASHINGTON - The Energy Department has chosen Bill Drummond to be the new Administrator for the Bonneville Power Administration (BPA), one of the four Power Marketing Administrations (PMAs) the Department oversees. As BPA's Administrator, Drummond will be responsible for managing the non-profit federal agency, which markets carbon-free power from Columbia River hydroelectic dams and operates the surrounding power grid, distributing wind, nuclear and other energy to the Pacific Northwest and beyond. Drummond's leadership of BPA is part of a larger strategy for

208

Energy Efficiency & On-Bill Financing for Small Businesses  

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

Efficiency Efficiency & On-Bill Financing For Small Businesses Presentation for: Webinar DOE 05/11/2011 5/12/2011 Connecticut Energy Efficiency Fund (CEEF) Connecticut's Energy Efficiency Programs are funded by a Charge on Customer's electric bills. The Programs are designed to help customers manage their energy usage and cost. Objective PROVIDE > COST-EFFECTIVE, turn-key CONSERVATION and LOAD MANAGEMENT SERVICES to SMALL C&I CUSTOMERS. What qualifies as a SMALL BUSINESS? A "Mom & Pop" store with a $150 monthly electric bill up to a mid size manufacturing company with a $20,000 monthly electric bill. Examples: Retail, convenience stores, houses of worship, professional offices, non-profits, gas stations, restaurants, common areas of apartment buildings,

209

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

210

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

211

homeoffice_household2001.pdf  

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

9a. Home Office Equipment by Northeast Census Region, 9a. Home Office Equipment by Northeast Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.1 1.4 1.2 Total .............................................................. 107.0 20.3 14.8 5.4 NE Households Using Office Equipment ......................................... 96.2 17.9 12.8 5.0 1.3 Personal Computers 1 ................................. 60.0 10.9 7.7 3.3 3.1 Number of Desktop PCs 1 ................................................................ 45.1 8.7 6.2 2.5 3.7 2 or more ................................................... 9.1 1.4 0.9 0.5 12.9 Number of Laptop PCs 1 ................................................................

212

Energy and household expenditure patterns  

Science Conference Proceedings (OSTI)

Since households account, either directly or indirectly, for two-thirds of the energy consumed in the US, changes in household activities will affect energy use. Expected changes in prices, personal income, and family spending over the next 20 years are looked at as well as the implications for energy consumption. The analysis shows that direct energy purchases will break with past trends, dropping from 2.6% to 0.2% annual growth for the rest of the century. Growth in spending on energy-using goods is also likely to slow down. The year 2000 will see a marked decrease in the growth of national energy consumption. 58 references, 3 figures, 35 tables.

Lareau, T.J.; Darmstadter, J.

1983-01-01T23:59:59.000Z

213

homeoffice_household2001.pdf  

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

0a. Home Office Equipment by Midwest Census Region, 0a. Home Office Equipment by Midwest Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. Midwest Census Region RSE Row Factors Total Census Division East North Central West North Central 0.5 1.0 1.2 1.6 Total .............................................................. 107.0 24.5 17.1 7.4 NE Households Using Office Equipment ......................................... 96.2 22.4 15.7 6.7 1.3 Personal Computers 1 ................................. 60.0 14.1 9.9 4.2 3.7 Number of Desktop PCs 1 ................................................................ 45.1 10.4 7.2 3.2 3.7 2 or more ................................................... 9.1 2.3 1.6 0.7 10.1 Number of Laptop PCs 1 ................................................................

214

Water Heating | Department of Energy  

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

Water Heating Water Heating Water Heating Infographic: Water Heaters 101 Everything you need to know about saving money on water heating costs Read more Selecting a New Water Heater Tankless? Storage? Solar? Save money on your water heating bill by choosing the right type of energy-efficient water heater for your needs. Read more Sizing a New Water Heater When buying a new water heater, bigger is not always better. Learn how to buy the right size of water heater. Read more You can reduce your monthly water heating bills by selecting the appropriate water heater for your home or pool and by using some energy-efficient water heating strategies. Some simple do-it-yourself projects, like insulating hot water pipes and lowering your water heating temperature, can also help you save money and energy on your water heating.

215

An Introduction to Texas Senate Bill 5  

E-Print Network (OSTI)

Four areas in Texas have been designated by the U.S. Environmental Protection Agency (EPA) as non-attainment areas because ozone levels exceed the National Ambient Air Quality Standards (NAAQS) maximum allowable limits: Beaumont-Port Arthur, El Paso, Dallas-Ft. Worth, and Houston-Galveston-Brazoria. The El Paso area also violates the NAAQS maximum allowable limits for carbon monoxide and respirable particulate matter. These areas face severe sanctions, such as loss of access to federal transportation funds, if attainment is not reached by 2007. Four additional areas in the state are also approaching national ozone limits, including: Austin, Corpus Christi, San Antonio, and the Longview-Tyler-Marshall area. Ozone is formed when oxides of nitrogen (NOx), volatile organic compounds (VOCs), and oxygen (O2) combine in the presence of strong sunlight. In response to this effort the Texas Natural Resource Conservation Commission (TNRCC) developed a strategy with the EPA that reduced VOCs from large regulated, stationary point sources by over 50 percent during the 1990 to 1996 period. Although this first strategy was very successful, levels of ozone failed to meet the national standards, and a second strategy had to be developed to achieve compliance with the ozone standard. In 2001, the Texas State Senate passed Senate Bill 5 (SB 5) to further reduce ozone levels by encouraging the reduction of emissions of NOx by sources that are currently not regulated by the TNRCC, including area sources (e.g., residential emissions), on-road mobile sources (e.g., all types of motor vehicles), and non-road mobile sources (e.g., aircraft, locomotives, etc.). This paper outlines the legislation, and responsibilities of the different government entities and the important role that private industry is being encouraged to play.

Haberl, J. S.; Culp, C.; Yazdani, B.; Fitzpatrick, T.; Turner, W. D.

2002-01-01T23:59:59.000Z

216

Summary of Major Energy Bill Provisions Affecting Federal Energy Managers  

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

of Major Energy Bill Provisions Affecting Federal Energy Managers of Major Energy Bill Provisions Affecting Federal Energy Managers Section Lead Agency Provisions 102. Energy management goals DOE * Annual energy reduction goal of 2% from FY 2006 - FY 2015 * Reporting baseline changed from 1985 to 2003 * In 180 days, DOE issues guidelines * Retention of energy and water savings by agencies * DOE reports annually on progress to the President and Congress

217

Summary of Major Energy Bill Provisions Affecting Federal Energy Managers  

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

of Major Energy Bill Provisions Affecting Federal Energy Managers of Major Energy Bill Provisions Affecting Federal Energy Managers Section Lead Agency Provisions 102. Energy management goals DOE * Annual energy reduction goal of 2% from FY 2006 - FY 2015 * Reporting baseline changed from 1985 to 2003 * In 180 days, DOE issues guidelines * Retention of energy and water savings by agencies * DOE reports annually on progress to the President and Congress

218

Development of the Household Sample for Furnace and Boiler Life-Cycle Cost  

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

Development of the Household Sample for Furnace and Boiler Life-Cycle Cost Development of the Household Sample for Furnace and Boiler Life-Cycle Cost Analysis Title Development of the Household Sample for Furnace and Boiler Life-Cycle Cost Analysis Publication Type Report LBNL Report Number LBNL-55088 Year of Publication 2005 Authors Whitehead, Camilla Dunham, Victor H. Franco, Alexander B. Lekov, and James D. Lutz Document Number LBNL-55088 Pagination 22 Date Published May 31 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Residential household space heating energy use comprises close to half of all residential energy consumption. Currently, average space heating use by household is 43.9 Mbtu for a year. An average, however, does not reflect regional variation in heating practices, energy costs, or fuel type. Indeed, a national average does not capture regional or consumer group cost impacts from changing efficiency levels of heating equipment. The US Department of Energy sets energy standards for residential appliances in, what is called, a rulemaking process. The residential furnace and boiler efficiency rulemaking process investigates the costs and benefits of possible updates to the current minimum efficiency regulations. Lawrence Berkeley National Laboratory (LBNL) selected the sample used in the residential furnace and boiler efficiency rulemaking from publically available data representing United States residences. The sample represents 107 million households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler rulemaking. This paper describes the choice of criteria to select the sample of houses used in the rulemaking process. The process of data extraction is detailed in the appendices and is easily duplicated.The life-cycle cost is calculated in two ways with a household marginal energy price and a national average energy price. The LCC results show that using an national average energy price produces higher LCC savings but does not reflect regional differences in energy price.

219

char_household2001.pdf  

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

2001 2001 Household Characteristics RSE Column Factor: Total U.S. Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.0 1.5 1.5 Total .............................................................. 107.0 7.1 12.3 7.7 6.3 NE Household Size 1 Person ...................................................... 28.2 2.2 2.4 1.8 1.7 7.3 2 Persons .................................................... 35.1 2.2 4.0 2.4 2.0 6.9 3 Persons .................................................... 17.0 1.1 2.0 1.2 1.2 9.5 4 Persons .................................................... 15.6 0.8 1.9 1.3 0.9 11.2 5 Persons .................................................... 7.1 0.4 1.1 0.4 0.5 19.8 6 or More Persons ....................................... 4.0 0.4 0.9 0.4 0.1 16.4 2001 Household Income Category

220

Heating Oil Reserve | Department of Energy  

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

he directed then-Energy Secretary Bill Richardson to establish a two million barrel home heating oil component of the Strategic Petroleum Reserve in the Northeast. The intent was...

Note: This page contains sample records for the topic "household heating bills" 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

Table HC3-1a. Space Heating by Climate Zone, Million U.S ...  

U.S. Energy Information Administration (EIA)

Table HC3-1a. Space Heating by Climate Zone, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Climate Zone1 RSE

222

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

U.S. Energy Information Administration (EIA)

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

223

Table WH11. Expenditures Intensity by Main Water Heating Fuel Used ...  

U.S. Energy Information Administration (EIA)

Main Water Heating Fuel Used (Dollars/number of household members) Electricity Table WH11. Expenditures Intensity by Main Water Heating Fuel Used, 2005

224

Table SH7. Average Consumption for Space Heating by Main Space ...  

U.S. Energy Information Administration (EIA)

Fuel Oil (gallons) Main Space Heating Fuel Used (physical units of consumption per household using the fuel as a main heating source) Table SH7.

225

Table SH8. Average Consumption for Space Heating by Main Space ...  

U.S. Energy Information Administration (EIA)

Fuel Oil Main Space Heating Fuel Used (million Btu of consumption per household using the fuel as a main heating source) Any Major Fuel 4 Table SH8.

226

NREL: Buildings Research - Utility Bill Calibration Test Cases  

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

Utility Bill Calibration Test Cases Utility Bill Calibration Test Cases The diagram below illustrates the utility bill calibration test cases in BESTEST-EX. In these cases, participants are given input ranges and synthetic utility bills. Software tools calibrate key model inputs using the utility bills and then predict energy savings for the different retrofit cases. Participant energy savings predictions using calibrated models are compared to NREL predictions using state-of-the-art building energy simulation programs. For self-testing, participants should not view reference results until after tested software results have been generated. This diagram provides an overview of the BESTEST-EX utility bill calibration case process. On the left side of the diagram is a box labeled "BESTEST-EX Document" with a list that contains two bulleted items. The first bullet reads "Defines a representative existing home and several retrofit measures." The second bullet reads "Provides input ranges for key model inputs." Underneath this list is an image of a house and to the right of the house is a listing of the measures: R-wall=4.5-6.2; ELA=137-216 in2 ; Tsat=60-75°F, etc. Underneath this grouping is another bullet that reads "Presents utility bills that were generated by: A) randomly selecting key model inputs within ranges (values remain hidden); B) running test cases with selected inputs in EnergyPlus, DOE2.1E, and SUNREL." Below this bullet is a bar graph showing energy savings on the y axis and retrofit measure on the x axis. Inside the graph area is text reading "Reference results remains hidden for utility bill calibration cases." An arrow labeled "Results" points horizontally to the right to the results box. From the top half of this box are two arrows that are labeled "Input Ranges" and "Utility Bills" and points horizontally to the right to another smaller box that is labeled "Audit Software Provider." Underneath this heading are three bullets: one reads "Creates model of existing home knowing input ranges from test," the next one reads "Calibrates model inputs using utility bills," and the third one reads "Predicts retrofit energy savings. Underneath these bullets is an image of a house; to the right of this is a bar graph showing energy savings on the y axis and retrofit measure on the x axis. From this box an arrow labeled "Results" points directly below

227

Do Households Smooth Small Consumption Shocks? Evidence from Anticipated and Unanticipated Variation in Home Energy Costs  

E-Print Network (OSTI)

home energy costs are electricity bills. 76% of energy coststo be paying their electricity bills directly, for instanceof the fact that electricity bills comprise almost three-

Cullen, Julie Berry; Friedberg, Leora; Wolfram, Catherine

2005-01-01T23:59:59.000Z

228

Alternative Underwriting Criteria … Using Utility Bill Payment History as a Proxy for Credit: Case Study on Clean Energy Works Oregon  

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

Policy Brief is an excerpt from the report: "Delivering Energy Efficiency to Middle Income Single Policy Brief is an excerpt from the report: "Delivering Energy Efficiency to Middle Income Single Family Households." For the full report and other resources visit: http://middleincome.lbl.gov April 4, 2012 Alternative Underwriting Criteria - Using Utility Bill Payment History as a Proxy for Credit: Case Study on Clean Energy Works Oregon Launched as a Portland-based pilot in April 2010, Clean Energy Works Oregon (CEWO) provides outreach,

229

ac_household2001.pdf  

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

of the annual heating and cooling degree-days. For this report, the heating or cooling degree-days are a measure of how cold or how hot a location is over a period of...

230

Development of the household sample for furnace and boilerlife-cycle cost analysis  

Science Conference Proceedings (OSTI)

Residential household space heating energy use comprises close to half of all residential energy consumption. Currently, average space heating use by household is 43.9 Mbtu for a year. An average, however, does not reflect regional variation in heating practices, energy costs, or fuel type. Indeed, a national average does not capture regional or consumer group cost impacts from changing efficiency levels of heating equipment. The US Department of Energy sets energy standards for residential appliances in, what is called, a rulemaking process. The residential furnace and boiler efficiency rulemaking process investigates the costs and benefits of possible updates to the current minimum efficiency regulations. Lawrence Berkeley National Laboratory (LBNL) selected the sample used in the residential furnace and boiler efficiency rulemaking from publically available data representing United States residences. The sample represents 107 million households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler rulemaking. This paper describes the choice of criteria to select the sample of houses used in the rulemaking process. The process of data extraction is detailed in the appendices and is easily duplicated. The life-cycle cost is calculated in two ways with a household marginal energy price and a national average energy price. The LCC results show that using an national average energy price produces higher LCC savings but does not reflect regional differences in energy price.

Whitehead, Camilla Dunham; Franco, Victor; Lekov, Alex; Lutz, Jim

2005-05-31T23:59:59.000Z

231

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.

2012-06-06T23:59:59.000Z

232

RDI's Wisdom Way Solar Village Final Report: Includes Utility Bill Analysis of Occupied Homes  

SciTech Connect

In 2010, Rural Development, Inc. (RDI) completed construction of Wisdom Way Solar Village (WWSV), a community of ten duplexes (20 homes) in Greenfield, MA. RDI was committed to very low energy use from the beginning of the design process throughout construction. Key features include: 1. Careful site plan so that all homes have solar access (for active and passive); 2. Cellulose insulation providing R-40 walls, R-50 ceiling, and R-40 floors; 3. Triple-pane windows; 4. Airtight construction (~0.1 CFM50/ft2 enclosure area); 5. Solar water heating systems with tankless, gas, auxiliary heaters; 6. PV systems (2.8 or 3.4kWSTC); 7. 2-4 bedrooms, 1,100-1,700 ft2. The design heating loads in the homes were so small that each home is heated with a single, sealed-combustion, natural gas room heater. The cost savings from the simple HVAC systems made possible the tremendous investments in the homes' envelopes. The Consortium for Advanced Residential Buildings (CARB) monitored temperatures and comfort in several homes during the winter of 2009-2010. In the Spring of 2011, CARB obtained utility bill information from 13 occupied homes. Because of efficient lights, appliances, and conscientious home occupants, the energy generated by the solar electric systems exceeded the electric energy used in most homes. Most homes, in fact, had a net credit from the electric utility over the course of a year. On the natural gas side, total gas costs averaged $377 per year (for heating, water heating, cooking, and clothes drying). Total energy costs were even less - $337 per year, including all utility fees. The highest annual energy bill for any home evaluated was $458; the lowest was $171.

Robb Aldrich, Steven Winter Associates

2011-07-01T23:59:59.000Z

233

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7a Glossary U.S. Residential Housing Primary Page Last Revised: July 2009

234

Nationwide Survey on Household Energy Use  

U.S. Energy Information Administration (EIA)

4 ~ Apartment in house or building divided into 2, 3, or 4 apartments ... of your family (living in your household). Include income from all sources--before taxes

235

Alston S. Householder Fellowship | Careers | ORNL  

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

in Scientific Computing honors Dr. Alston S. Householder, founding Director of the Mathematics Division (now Computer Science and Mathematics Division) at the Oak Ridge National...

236

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

237

Home > Households, Buildings & Industry > Energy Efficiency ...  

U.S. Energy Information Administration (EIA)

Glossary Home > Households, Buildings & Industry > Energy Efficiency > Residential Buildings Energy Intensities > Table 4 Total Square Feet of U.S. Housing Units

238

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 5c Glossary U.S. Residential Housing Site Page Last Revised: July 2009

239

Residential Energy Usage by Origin of Householder  

U.S. Energy Information Administration (EIA)

Home > Energy Users > Residential Home Page > Energy Usage by Origin of Householder. Consumption and Expenditures. NOTE: To View and/or Print PDF's ...

240

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities >Table 7b Glossary U.S. Residential Housing Primary Energy Intensity

Note: This page contains sample records for the topic "household heating bills" 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

Home > Households, Buildings & Industry > Energy Efficiency Page ...  

U.S. Energy Information Administration (EIA)

Home > Households, Buildings & Industry > Energy Efficiency Page > Energy Intensities > Table 8b Glossary U.S. Residential Buildings Primary Energy Intensity

242

homeoffice_household2001.pdf  

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

1a. Home Office Equipment by South Census Region, 1a. Home Office Equipment by South Census Region, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total U.S. South Census Region RSE Row Factors Total Census Division South Atlantic East South Central West South Central 0.5 0.8 1.2 1.3 1.6 Total .............................................................. 107.0 38.9 20.3 6.8 11.8 NE Households Using Office Equipment ......................................... 96.2 34.6 18.4 6.0 10.1 1.2 Personal Computers 1 ................................. 60.0 20.7 11.7 3.2 5.8 4.0 Number of Desktop PCs 1 ................................................................ 45.1 15.5 8.6 2.6 4.3 4.9 2 or more ................................................... 9.1 3.1 2.0 0.4 0.7 9.6 Number of Laptop PCs

243

Electricity Prices for Households - EIA  

Gasoline and Diesel Fuel Update (EIA)

Households for Selected Countries1 Households for Selected Countries1 (U.S. Dollars per Kilowatthour) Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA 0.023 NA NA Australia 0.091 0.092 0.094 0.098 NA NA NA NA NA Austria 0.144 0.154 0.152 0.163 0.158 0.158 0.178 0.201 NA Barbados NA NA NA NA NA NA NA NA NA Belgium NA NA NA NA NA NA NA NA NA Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA 0.145 0.171 NA Canada 0.067 0.069 0.070 0.071 0.076 0.078 NA NA NA Chile NA NA NA NA NA NA 0.140 0.195 NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 0.075 0.071 0.074 0.076 0.079 0.079 0.080 0.086 NA Colombia NA NA NA NA NA NA 0.111 0.135 NA

244

homeoffice_household2001.pdf  

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

2a. Home Office Equipment by Year of Construction, 2a. Home Office Equipment by Year of Construction, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.4 1.1 1.1 1.2 1.2 1.0 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Households Using Office Equipment .......................... 96.2 14.9 16.7 17.0 12.2 13.0 22.4 4.4 Personal Computers 2 ................... 60.0 11.0 11.6 10.3 7.2 7.8 12.0 5.3 Number of Desktop PCs 1 .................................................. 45.1 8.0 9.0 7.7 5.3 6.1 9.1 5.8 2 or more .................................... 9.1 1.8 1.6 2.0 1.1 1.0 1.6 11.8 Number of Laptop PCs 1 ..................................................

245

homeoffice_household2001.pdf  

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

a. Home Office Equipment by Climate Zone, a. Home Office Equipment by Climate Zone, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.2 1.1 1.0 Total ............................................... 107.0 9.2 28.6 24.0 21.0 24.1 7.9 Households Using Office Equipment .......................... 96.2 8.4 26.2 21.1 19.0 21.5 7.8 Personal Computers 2 ................... 60.0 5.7 16.7 13.1 12.1 12.6 7.4 Number of Desktop PCs 1 .................................................. 45.1 4.2 12.8 9.6 8.8 9.6 7.8 2 or more .................................... 9.1 0.8 2.4 2.3 2.0 1.7 12.1 Number of Laptop PCs 1 ..................................................

246

Forsyth County Slashes Energy Bills with Upgrades | Department of Energy  

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

Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades September 30, 2010 - 12:04pm Addthis A new energy management system in Forsyth County’s 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County A new energy management system in Forsyth County's 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County Maya Payne Smart Former Writer for Energy Empowers, EERE What are the key facts? Four large projects funded through Recovery Act grant Energy efficient retrofits to save county about $72,000 annually Forsyth County, Georgia has been among the nation's fastest growing counties for the past ten years. Given the growth, officials are working

247

Transparent Prices for Municipal Water: Impact of Pricing and Billing  

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

Transparent Prices for Municipal Water: Impact of Pricing and Billing Transparent Prices for Municipal Water: Impact of Pricing and Billing Practices on Residential Water Use Speaker(s): Sylvestre Gaudin Date: November 29, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: John Busch Jr. Economic Research shows overwhelmingly that residential consumers do not pay much attention to price changes when they make decisions about water use. This weak price sensitivity is often attributed to the intrinsic nature of water as a necessity. However, a large part of water use is the result of choices that could easily be altered without affecting basic welfare. Economic theory points to at least two other reasons why consumers would not be responsive to price changes for water use: the fact that water bills constitute a small portion of their budgets, and the fact that price

248

Forsyth County Slashes Energy Bills with Upgrades | Department of Energy  

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

Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades Forsyth County Slashes Energy Bills with Upgrades September 30, 2010 - 12:04pm Addthis A new energy management system in Forsyth County’s 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County A new energy management system in Forsyth County's 52,057 square foot courthouse is expected to save about $9,000 annually. | Photo courtesy of Forsyth County Maya Payne Smart Former Writer for Energy Empowers, EERE What are the key facts? Four large projects funded through Recovery Act grant Energy efficient retrofits to save county about $72,000 annually Forsyth County, Georgia has been among the nation's fastest growing counties for the past ten years. Given the growth, officials are working

249

Secretary Bodman Promotes Energy Bill to Western Governors | Department of  

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

Promotes Energy Bill to Western Governors Promotes Energy Bill to Western Governors Secretary Bodman Promotes Energy Bill to Western Governors March 1, 2005 - 10:37am Addthis WASHINGTON, DC - U.S. Secretary of Energy Samuel W. Bodman in a speech before the Western Governors Association today expressed the need for Congress to pass comprehensive energy legislation and highlighted the benefits of the proposal for the western United States. Secretary Bodman also discussed a number of important energy initiatives including: nuclear defense; scientific research; oil and gas exploration in Alaska; hydropower; the strengthening of our power grid; further development of renewable energy; hydrogen powered fuel-cell vehicles; and clean-coal power generation. "The energy challenges facing our country today are greater than they have

250

Home Energy Saver: Comparing Your Results to Your Utility Bill  

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

Comparing The Results to The Home's Utility Bill Comparing The Results to The Home's Utility Bill Energy use varies widely, even among seemingly identical homes! This is because of differences in house design, appliances, lifestyles, and comfort requirements. If your Home Energy Saver results differ from your actual energy bills, be sure to first check that all your input values agree with how your home is actually designed and operated. If the total cost differs but energy use is the same, keep in mind that we use a single price for energy, while many utilities use complicated "tariff structures", where the price varies by the time of year and/or day, your level of consumption, or other factors. Any remaining differences are probably due to one or more of the factors below. After reviewing these factors, you may want to modify

251

Baltimore Vet Cuts Energy Bills With Solar | Department of Energy  

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

Baltimore Vet Cuts Energy Bills With Solar Baltimore Vet Cuts Energy Bills With Solar Baltimore Vet Cuts Energy Bills With Solar October 28, 2010 - 5:09pm Addthis Baltimore resident Paul Bennett installed 14 solar panels such as these on his historic row home with the help of a state solar grant and federal tax credit through the Recovery Act. | Energy Department Photo | Baltimore resident Paul Bennett installed 14 solar panels such as these on his historic row home with the help of a state solar grant and federal tax credit through the Recovery Act. | Energy Department Photo | Stephen Graff Former Writer & editor for Energy Empowers, EERE On a 'green' mission last spring, a 62 year-old retiree living on a modest income in Baltimore found himself at the Solar and Wind Expo at the Timonium Fairgrounds in Maryland.

252

Florida Residents See Energy Bill Reductions | Department of Energy  

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

Florida Residents See Energy Bill Reductions Florida Residents See Energy Bill Reductions Florida Residents See Energy Bill Reductions January 27, 2010 - 3:42pm Addthis Indiantown, Florida, has a lot of small-town charm. Its 7,000 residents have acres of citrus groves but only one traffic light in the town. It might be small in size, but Indiantown Non-Profit Housing is making quite an impact across its region. This nonprofit weatherizes the homes of qualifying residents free of charge, and demand for its services is on the rise. "One of the best outcomes is that we can hire additional employees" says Director Donna Carman, referring to the $5.2 million in Recovery Act funds Indiantown Non-Profit Housing has received. The staff has more than doubled from five to 16, meaning that Floridians like 72-year-old Edith

253

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

254

Household energy use in urban Venezuela: Implications from surveys in Maracaibo, Valencia, Merida, and Barcelona-Puerto La Cruz  

Science Conference Proceedings (OSTI)

This report identifies the most important results of a comparative analysis of household commercial energy use in Venezuelan urban cities. The use of modern fuels is widespread among all cities. Cooking consumes the largest share of urban household energy use. The survey documents no use of biomass and a negligible use of kerosene for cooking. LPG, natural gas, and kerosene are the main fuels available. LPG is the fuel choice of low-income households in all cities except Maracaibo, where 40% of all households use natural gas. Electricity consumption in Venezuela`s urban households is remarkably high compared with the levels used in households in comparable Latin American countries and in households of industrialized nations which confront harsher climatic conditions and, therefore, use electricity for water and space heating. The penetration of appliances in Venezuela`s urban households is very high. The appliances available on the market are inefficient, and there are inefficient patterns of energy use among the population. Climate conditions and the urban built form all play important roles in determining the high level of energy consumption in Venezuelan urban households. It is important to acknowledge the opportunities for introducing energy efficiency and conservation in Venezuela`s residential sector, particularly given current economic and financial constraints, which may hamper the future provision of energy services.

Figueroa, M.J.; Sathaye, J.

1993-08-01T23:59:59.000Z

255

The Renewable Energy Guy: Q&A with TV's Bill Nye | Department of Energy  

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

The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye June 10, 2010 - 11:42am Addthis Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Lindsay Gsell For years, Bill Nye entertained children on the educational television series "Bill Nye the Science Guy." Using wacky demonstrations, funny music videos and easy to digest lessons, Nye encouraged children to enjoy and appreciate science. The quirky Nye-a scientist, engineer, comedian, author, and inventor-now works to spread the message of renewable energy, and regularly takes on projects to "green" his own Californian home.

256

The Renewable Energy Guy: Q&A with TV's Bill Nye | Department of Energy  

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

The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye The Renewable Energy Guy: Q&A with TV's Bill Nye June 10, 2010 - 11:42am Addthis Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Bill Nye currently hosts three television shows about science. | Photo courtesy of Bill Nye Lindsay Gsell For years, Bill Nye entertained children on the educational television series "Bill Nye the Science Guy." Using wacky demonstrations, funny music videos and easy to digest lessons, Nye encouraged children to enjoy and appreciate science. The quirky Nye-a scientist, engineer, comedian, author, and inventor-now works to spread the message of renewable energy, and regularly takes on projects to "green" his own Californian home.

257

Laboratory Testing of Demand-Response Enabled Household Appliances  

SciTech Connect

With the advent of the Advanced Metering Infrastructure (AMI) systems capable of two-way communications between the utility's grid and the building, there has been significant effort in the Automated Home Energy Management (AHEM) industry to develop capabilities that allow residential building systems to respond to utility demand events by temporarily reducing their electricity usage. Major appliance manufacturers are following suit by developing Home Area Network (HAN)-tied appliance suites that can take signals from the home's 'smart meter,' a.k.a. AMI meter, and adjust their run cycles accordingly. There are numerous strategies that can be employed by household appliances to respond to demand-side management opportunities, and they could result in substantial reductions in electricity bills for the residents depending on the pricing structures used by the utilities to incent these types of responses.The first step to quantifying these end effects is to test these systems and their responses in simulated demand-response (DR) conditions while monitoring energy use and overall system performance.

Sparn, B.; Jin, X.; Earle, L.

2013-10-01T23:59:59.000Z

258

Characterization of household waste in Greenland  

Science Conference Proceedings (OSTI)

The composition of household waste in Greenland was investigated for the first time. About 2 tonnes of household waste was sampled as every 7th bag collected during 1 week along the scheduled collection routes in Sisimiut, the second largest town in Greenland with about 5400 inhabitants. The collection bags were sorted manually into 10 material fractions. The household waste composition consisted primarily of biowaste (43%) and the combustible fraction (30%), including anything combustible that did not belong to other clean fractions as paper, cardboard and plastic. Paper (8%) (dominated by magazine type paper) and glass (7%) were other important material fractions of the household waste. The remaining approximately 10% constituted of steel (1.5%), aluminum (0.5%), plastic (2.4%), wood (1.0%), non-combustible waste (1.8%) and household hazardous waste (1.2%). The high content of biowaste and the low content of paper make Greenlandic waste much different from Danish household waste. The moisture content, calorific value and chemical composition (55 elements, of which 22 were below detection limits) were determined for each material fraction. These characteristics were similar to what has been found for material fractions in Danish household waste. The chemical composition and the calorific value of the plastic fraction revealed that this fraction was not clean but contained a lot of biowaste. The established waste composition is useful in assessing alternative waste management schemes for household waste in Greenland.

Eisted, Rasmus, E-mail: raei@env.dtu.dk [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark); Christensen, Thomas H. [Department of Environmental Engineering, Technical University of Denmark, Kongens Lyngby (Denmark)

2011-07-15T23:59:59.000Z

259

Plug-in privacy for smart metering billing  

Science Conference Proceedings (OSTI)

Traditional electricity meters are replaced by Smart Meters in customers' households. Smart Meters collect fine-grained utility consumption profiles from customers, which in turn enables the introduction of dynamic, time-of-use tariffs. However, the ...

Marek Jawurek; Martin Johns; Florian Kerschbaum

2011-07-01T23:59:59.000Z

260

appl_household2001.pdf  

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

9a. Appliances by Northeast Census Region, 9a. Appliances by Northeast Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. Northeast Census Region RSE Row Factors Total Census Division Middle Atlantic New England 0.5 1.0 1.3 1.6 Total .............................................................. 107.0 20.3 14.8 5.4 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 19.6 14.5 5.2 1.1 1 .............................................................. 95.2 18.2 13.3 4.9 1.1 2 or More ................................................. 6.5 1.4 1.1 0.3 11.7 Most Used Oven ...................................... 101.7 19.6 14.5 5.2 1.1 Electric .....................................................

Note: This page contains sample records for the topic "household heating bills" 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

appl_household2001.pdf  

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

2a. Appliances by West Census Region, 2a. Appliances by West Census Region, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total U.S. West Census Region RSE Row Factors Total Census Division Mountain Pacific 0.5 1.0 1.7 1.2 Total .............................................................. 107.0 23.3 6.7 16.6 NE Kitchen Appliances Cooking Appliances Oven ......................................................... 101.7 22.1 6.6 15.5 1.1 1 .............................................................. 95.2 20.9 6.4 14.5 1.1 2 or More ................................................. 6.5 1.2 0.2 1.0 14.6 Most Used Oven ...................................... 101.7 22.1 6.6 15.5 1.1 Electric .....................................................

262

Residential energy consumption and expenditure patterns of low-income households in the United States  

SciTech Connect

The principal objective of this study is to compare poor and non-poor households with respect to energy consumption and expenditures, housing characteristics, and energy-related behavior. We based our study on an analysis of a national data base created by the US Department of Energy, the 1982-1983 Residential Energy Consumption Survey (RECS). RECS includes detailed information on individual households: demographic characteristics, energy-related features of the structure, heating equipment and appliances, recent conservation actions taken by the household, and fuel consumption and costs for April 1982-March 1983. We found a number of statistically significant (at the 0.05 level) differences between the two income groups in terms of demographics, heating/cooling/water heating systems, appliance saturation, the thermal integrity of their home, energy conservation behavior, energy consumption, energy expenditures, and the percentage of income spent on energy costs. For example, the non-poor used 22% more energy and paid 25% more money on utilities than the poor; however, the poor spent 20% more energy per square foot than the non-poor and spent about 25% of their income on energy expenditures, compared to 7% for the non-poor. These differences suggest different approaches that might be taken for targeting energy conservation programs to low-income households. Since the poor's ''energy burden'' is large, informational, technical, and financial assistance to low-income households remains an urgent, national priority. 13 refs., 26 tabs.

Vine, E.L.; Reyes, I.

1987-09-01T23:59:59.000Z

263

AMENDED IN SENATE MARCH 27, 2006 SENATE BILL No. 1629  

E-Print Network (OSTI)

Act. The State Contract Act governs contracting between state agencies and private contractors, and other state agencies in overseeing and implementing state contracting procedures and policies. This bill procedures and policies to require authorize a state agency that contracts with a federally funded research

Knowles, David William

264

Two Years Later: Bill Picciano of DOE's Savannah River Site  

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

We checked back in with Bill Picciano, who we last spoke to in October 2009 after he'd recently been hired at the Savannah River Site (SRS) through the Recovery Act. Now he's permanently employed at the Site as an Associate Engineer/Technical Support Specialist - a job he's proud to have.

265

Mann LED Elevator Ligh ng: ECI Savings Table Cost (billed)  

E-Print Network (OSTI)

Cost (billed) Annual Savings $ Equivalent # Homes Electric 63 12 51 81% 1,300 200 1,000 2 tons/per year car bon equivalent annually. Benefits: The new lamps are much cooler, lower energy usage, and will last up to 5 years versus the old lamps that re quired changing many mes per year

Lipson, Michal

266

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

E-Print Network (OSTI)

77 CHAPTER 4 ELECTRICITY BILL SAVINGS FROM RESIDENTIALresidential load and electricity bill by TOU period. (in the customer’s electricity bills. The second chapter of

Darghouth, Naim Richard

2013-01-01T23:59:59.000Z

267

Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership  

E-Print Network (OSTI)

Household Ownership of Car Davidon, W. C. (1959) VariableStudy Report 9: Models of Car Ownership and License Holding.Trinomial Models of Household Car Ownership. Transportation

Bunch, David S.; Kitamura, Ryuichi

1991-01-01T23:59:59.000Z

268

Modeling patterns of hot water use in households  

E-Print Network (OSTI)

7 No Dishwashers . . . . . . . .to households without dishwashers. no_cw is only applied towasher; the absence of a dishwasher; a household consisting

Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

1996-01-01T23:59:59.000Z

269

Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico...  

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

Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico Tapping Solar for Hot Water and Cheaper Bills for Puerto Rico November 3, 2010 - 10:00am Addthis Stephen Graff Former...

270

Gas Mileage of 1984 Vehicles by Bill Dovell Motor Car Company  

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

4 Bill Dovell Motor Car Company Vehicles EPA MPG MODEL City Comb Hwy 1984 Bill Dovell Motor Car Company Dovell 230CE 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 1984...

271

Gas Mileage of 1985 Vehicles by Bill Dovell Motor Car Company  

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

5 Bill Dovell Motor Car Company Vehicles EPA MPG MODEL City Comb Hwy 1985 Bill Dovell Motor Car Company Dovell 230CE 4 cyl, 2.3 L, Automatic 4-spd, Regular Gasoline Compare 1985...

272

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

SciTech Connect

The term ?household carbon footprint? refers to the total annual carbon emissions associated with household consumption of energy, goods, and services. In this project, Lawrence Berkeley National Laboratory developed a carbon footprint modeling framework that characterizes the key underlying technologies and processes that contribute to household carbon footprints in California and the United States. The approach breaks down the carbon footprint by 35 different household fuel end uses and 32 different supply chain fuel end uses. This level of end use detail allows energy and policy analysts to better understand the underlying technologies and processes contributing to the carbon footprint of California households. The modeling framework was applied to estimate the annual home energy and supply chain carbon footprints of a prototypical California household. A preliminary assessment of parameter uncertainty associated with key model input data was also conducted. To illustrate the policy-relevance of this modeling framework, a case study was conducted that analyzed the achievable carbon footprint reductions associated with the adoption of energy efficient household and supply chain technologies.

Kramer, Klaas Jan; Homan, Greg; Brown, Rich; Worrell, Ernst; Masanet, Eric

2009-04-15T23:59:59.000Z

273

Urban household energy use in Thailand  

SciTech Connect

Changes in household fuel and electricity use that accompany urbanization in Third World countries bear large economic and environmental costs. The processes driving the fuel transition, and the policy mechanisms by which it can be influenced, need to be better understood for the sake of forecasting and planning, especially in the case of electricity demand. This study examines patterns of household fuel use and electrical appliance utilization in Bangkok, Chieng Mai and Ayutthaya, Thailand, based on the results of a household energy survey. Survey data are statistically analyzed using a variety of multiple regression techniques to evaluate the relative influence of various household and fuel characteristics on fuel and appliance choice. Results suggest that changes to the value of women's time in urban households, as women become increasingly active in the labor force, have a major influence on patterns of household energy use. The use of the home for small-scale commercial activities, particularly food preparation, also has a significant influence on fuel choice. In general, household income does not prove to be an important factor in fuel and appliance selection in these cities, although income is closely related to total electricity use. The electricity use of individual household appliances is also analyzed using statistical techniques as well as limited direct metering. The technology of appliance production in Thailand is evaluated through interviews with manufacturers and comparisons of product performance. These data are used to develop policy recommendations for improving the efficiency of electrical appliances in Thailand by relying principally on the dynamism of the consumer goods market, rather than direct regulation. The annual electricity savings from the recommended program for fostering rapid adoption of efficient technologies are estimated to reach 1800 GWh by the year 2005 for urban households alone.

Tyler, S.R.

1992-01-01T23:59:59.000Z

274

New NIST Video: Bill Phillips School Talk on the Science of ...  

Science Conference Proceedings (OSTI)

New NIST Video: Bill Phillips School Talk on the Science of Ultracold. From NIST Tech Beat: February 19, 2008. ...

2011-08-29T23:59:59.000Z

275

Did Household Consumption Become More Volatile?  

E-Print Network (OSTI)

I show that after accounting for predictable variation arising from movements in real interest rates, preferences, income shocks, liquidity constraints and measurement errors, volatility of household consumption in the US increased between 1970 and 2004. For households headed by nonwhite and/or poorly educated individuals, this rise was significantly larger. This stands in sharp contrast with the dramatic fall in instability of the aggregate U.S. economy over the same period. Thus, while aggregate shocks affecting households fell over time, idiosyncratic shocks increased. This finding may lead to significant welfare implications.

Olga Gorbachev

2009-01-01T23:59:59.000Z

276

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network (OSTI)

heating Dryer Range/oven Pool heating Spa heating TotalWater heating Space heating Range/oven Dryer Pool/spa Water heating Outdoor lighting Microwave Range/oven Clothes 

Masanet, Eric

2010-01-01T23:59:59.000Z

277

Taking compliance patterns and quality management system (QMS) framework approach to ensure medical billing compliance  

Science Conference Proceedings (OSTI)

The United States Office of Inspector General (OIG) has issued a number of compliance guidelines including third-party medical billing guidelines for healthcare companies in the United States to reduce errors and fraud in the field of medical billing. ... Keywords: ISO 9001, OIG, common audit framework, medical billing compliance patterns, quality management system (QMS)

Syeda Uzma Gardazi, Arshad Ali Shahid

2013-03-01T23:59:59.000Z

278

appl_household2001.pdf  

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

a. Appliances by Climate Zone, a. Appliances by Climate Zone, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Climate Zone 1 RSE Row Factors Fewer than 2,000 CDD and -- 2,000 CDD or More and Fewer than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Fewer than 4,000 HDD 0.4 1.9 1.1 1.1 1.2 1.1 Total .................................................. 107.0 9.2 28.6 24.0 21.0 24.1 7.8 Kitchen Appliances Cooking Appliances Oven .............................................. 101.7 9.1 27.9 23.1 19.4 22.2 7.8 1 ................................................... 95.2 8.7 26.0 21.6 17.7 21.2 7.9 2 or More ..................................... 6.5 0.4 1.9 1.5 1.7 1.0 14.7 Most Used Oven ........................... 101.7 9.1 27.9 23.1 19.4 22.2

279

appl_household2001.pdf  

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

4a. Appliances by Type of Housing Unit, 4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1 ................................................ 95.2 63.7 8.9 16.2 6.3 4.3 2 or More .................................. 6.5 5.4 0.4 0.4 0.2 15.9 Most Used Oven ........................ 101.7 69.1 9.4 16.7 6.6 4.3 Electric ...................................... 63.0 43.3 5.2 10.9 3.6

280

appl_household2001.pdf  

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

5a. Appliances by Type of Owner-Occupied Housing Unit, 5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ........................................... 68.3 59.1 2.0 1.7 5.4 7.0 1 ................................................ 62.9 54.1 2.0 1.6 5.2 7.1 2 or More .................................. 5.4 5.0 Q Q 0.2 22.1 Most Used Oven ........................ 68.3 59.1 2.0 1.7 5.4 7.0 Electric ......................................

Note: This page contains sample records for the topic "household heating bills" 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

appl_household2001.pdf  

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

2a. Appliances by Year of Construction, 2a. Appliances by Year of Construction, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Year of Construction RSE Row Factors 1990 to 2001 1 1980 to 1989 1970 to 1979 1960 to 1969 1950 to 1959 1949 or Before 0.4 1.5 1.2 1.1 1.2 1.1 0.9 Total ............................................... 107.0 15.5 18.2 18.8 13.8 14.2 26.6 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 1 ................................................ 95.2 13.1 16.3 16.6 12.1 12.7 24.3 4.4 2 or More .................................. 6.5 1.2 0.9 1.1 0.7 1.0 1.6 14.8 Most Used Oven ........................ 101.7 14.3 17.2 17.8 12.9 13.7 25.9 4.2 Electric ......................................

282

Microsoft Word - Household Energy Use CA  

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

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average.  Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

283

Microsoft Word - Household Energy Use CA  

Gasoline and Diesel Fuel Update (EIA)

0 20 40 60 80 100 US PAC CA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 US PAC CA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US PAC CA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US PAC CA Expenditures dollars ELECTRICITY ONLY average per household  California households use 62 million Btu of energy per home, 31% less than the U.S. average. The lower than average site consumption results in households spending 30% less for energy than the U.S. average.  Average site electricity consumption in California homes is among the lowest in the nation, as the mild climate in much of the state leads to less reliance on

284

Do Disaster Expectations Explain Household Portfolios?  

E-Print Network (OSTI)

use the American Consumer Expenditure Survey (CEX) for consumption ex- penditure information. The data covers the period between 1983 and 2004. The expenditure information is recorded quarterly with approximately 5000 households in each wave. Every...

Alan, Sule

285

Household gasoline demand in the United States  

E-Print Network (OSTI)

Continuing rapid growth in U.S. gasoline consumption threatens to exacerbate environmental and congestion problems. We use flexible semiparametric and nonparametric methods to guide analysis of household gasoline consumption, ...

Schmalensee, Richard

1995-01-01T23:59:59.000Z

286

Montana | Department of Energy  

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

huge accomplishment -- which was finished ahead of schedule and is saving the average household 400 annually on their heating and cooling bills. September 27, 2011...

287

Wisconsin | Department of Energy  

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

huge accomplishment -- which was finished ahead of schedule and is saving the average household 400 annually on their heating and cooling bills. December 21, 2011 CX-007436:...

288

Press Room - Press Releases - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... solar, wind, geothermal, ... "EIA expects household bills for space-heating fuels will be about 3 percent higher than a year ...

289

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

290

Energy Saver 101: Home Heating | Department of Energy  

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

Energy Saver 101: Home Heating Energy Saver 101: Home Heating Energy Saver 101: Home Heating Space heating is likely the largest energy expense in your home, accounting for about 45 percent of the average American family's energy bills. That means making smart decisions about your home's heating system can have a big impact on your energy bills. Our Energy Saver 101 infographic lays out everything you need to know about home heating -- from how heating systems work and the different types on the market to what to look for when replacing your system and proper maintenance. Download individual sections of the infographic or a high resolution version now. homeHeating.pdf homeHeating_slide-01.png homeHeating_slide-02.png homeHeating_slide-03.png homeHeating_slide-04.png homeHeating_slide-05.png

291

Bill Healy & Tania Ullah Energy and Environment Division ...  

Science Conference Proceedings (OSTI)

... Combined Solar/Geothermal Heat Pump Systems; Multisplit heat pump with minimal duct system; ... 34. “Slinky” geothermal loop. Questions?

2011-12-20T23:59:59.000Z

292

Energy Saver 101: Home Heating | Department of Energy  

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

You are here You are here Home » Energy Saver 101: Home Heating Energy Saver 101: Home Heating Space heating is likely the largest energy expense in your home, accounting for about 45 percent of the average American family's energy bills. That means making smart decisions about your home's heating system can have a big impact on your energy bills. Our Energy Saver 101 infographic lays out everything you need to know about home heating -- from how heating systems work and the different types on the market to what to look for when replacing your system and proper maintenance. Download individual sections of the infographic or a high resolution version now. homeHeating.pdf homeHeating_slide-01.png homeHeating_slide-02.png homeHeating_slide-03.png homeHeating_slide-04.png homeHeating_slide-05.png

293

STEO October 2012 - home heating supplies  

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

Natural gas, propane, and electricity supplies seen plentiful Natural gas, propane, and electricity supplies seen plentiful this winter for U.S. home heating Supplies of the major heating fuels used by most U.S. households are expected to be plentiful this winter, with the possible exception of heating oil, which is consumed mostly by households in the Northeast. Heating oil stocks are expected to be low in the East Coast and Gulf Coast states. And with New York state requiring heating oil with lower sulfur levels for the first time, the heating oil market is expected to be tighter this winter, according to the U.S. Energy Information Administration's new winter fuels forecast. However, U.S. inventories of natural gas, the most common primary heating fuel used by households and a key fuel for electricity generation, is expected to reach 3.9 trillion cubic feet by

294

My Energy Audit, Part 1: Heating | Department of Energy  

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

My Energy Audit, Part 1: Heating My Energy Audit, Part 1: Heating My Energy Audit, Part 1: Heating June 6, 2012 - 2:05pm Addthis Stephanie Price Communicator, National Renewable Energy Laboratory My utility company offers a free energy audit, of which I finally took advantage. It was mostly discussion about different ways to save energy, with inspection of a few areas of the house (not quite as comprehensive as the utility company's website indicated it would be, but it was, after all, free). The auditor had a table of my electric bills for the last two years (I forgot to ask for a copy, but I've got several years' worth of bills, and I've started to create my own table anyway). It clearly showed that my winter bills are very high compared to my summer bills. Since I don't have air conditioning, the difference is primarily due to furnace use during the

295

My Energy Audit, Part 1: Heating | Department of Energy  

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

My Energy Audit, Part 1: Heating My Energy Audit, Part 1: Heating My Energy Audit, Part 1: Heating June 6, 2012 - 2:05pm Addthis Stephanie Price Communicator, National Renewable Energy Laboratory My utility company offers a free energy audit, of which I finally took advantage. It was mostly discussion about different ways to save energy, with inspection of a few areas of the house (not quite as comprehensive as the utility company's website indicated it would be, but it was, after all, free). The auditor had a table of my electric bills for the last two years (I forgot to ask for a copy, but I've got several years' worth of bills, and I've started to create my own table anyway). It clearly showed that my winter bills are very high compared to my summer bills. Since I don't have air conditioning, the difference is primarily due to furnace use during the

296

Patterns of rural household energy use: a study in the White Nile province - the Sudan  

Science Conference Proceedings (OSTI)

The study investigates rural household domestic energy consumption patterns in a semiarid area of the Sudan. It describes the socioeconomic and evironmental context of energy use, provides an estimation of local woody biomass production and evaluates ecological impacts of increased energy demand on the local resource base. It is based on findings derived from field surveys, a systematic questionnaire and participant observations. Findings indicate that households procure traditional fuels by self-collection and purchases. Household members spent on average 20% of their working time gathering fuels. Generally per caput and total annual expenditure and consumption of domestic fuels are determined by household size, physical availability, storage, prices, income, conservation, substitution and competition among fuel resource uses. Households spend on average 16% of their annual income on traditional fuels. Aggregation of fuels on heat equivalent basis and calculation of their contribution shows that on average firewood provides 63%, charcoal 20.7%, dung 10.4%, crop residues 3.4% and kerosene/diesel 2.5% of the total demand for domestic purposes. Estimated total household woodfuel demand exceeds woody biomass available from the local forests. This demand is presently satisfied by a net depletion of the local forests and purchases from other areas. Degradation of the resource base is further exacerbated by development of irrigation along the White Nile River, increasing livestock numbers (overgrazing) and forest clearance for rainfed cultivation. The most promising relevant and appropriate strategies to alleviate rural household domestic energy problems include: conservation of the existing forest, augmentation through village woodlots and community forestry programmes and improvements in end-use (stoves) and conversion (wood to charcoal) technologies.

Abdu, A.S.E.

1985-01-01T23:59:59.000Z

297

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

4 Space Heating Characteristics by Household Income, 2005" 4 Space Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Space Heating Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Do Not Have Space Heating Equipment",1.2,0.5,0.3,0.2,"Q",0.2,0.3,0.6 "Have Main Space Heating Equipment",109.8,26.2,28.5,20.4,13,21.8,16.3,37.9 "Use Main Space Heating Equipment",109.1,25.9,28.1,20.3,12.9,21.8,16,37.3

298

Heating costs for most households are forecast to rise from ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium.

299

U.S. household winter natural gas heating expenditures ...  

U.S. Energy Information Administration (EIA)

Comprehensive data summaries, comparisons, analysis, ... and 5% lower for electric ... variety of services—depending on factors such as their load pro ...

300

Heating costs for most households are forecast to rise ...  

U.S. Energy Information Administration (EIA)

Solar › Energy in Brief ... Although winter temperatures are expected to be similar to last winter nationally, weather in the Northeast is expected to ...

Note: This page contains sample records for the topic "household heating bills" 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

Comparative analysis of energy data bases for household residential and transportation energy use  

SciTech Connect

Survey data bases covering household residential and transportation energy use were reviewed from the perspective of energy policy analysts and data base users. Twenty-three surveys, taken from 1972 to 1985, collected information on household energy consumption and expenditures, energy-using capital stock, and conservation activities. Ten of the surveys covered residential energy use only, including that for space heating and cooling, cooking, water heating, and appliances. Six surveys covered energy use only for household travel in personal vehicles. Seven surveys included data on both of these household energy sectors. Complete energy use data for a household in one year can be estimated only for 1983, using two surveys (one residential and one transportation) taken in the same households. The last nine surveys of the 23 were recent (1983--1985). Review of those nine was based on published materials only. The large-scale surveys generally had less-comprehensive data, while the comprehensive surveys were based on small samples. The surveys were timely and useful for analyzing four types of energy policies: economic regulation, environmental regulation, federal energy production, and direct regulation of energy consumption or production. Future surveys of energy use, such as those of residential energy consumption, should try to link their energy-use questions to large surveys, such as the American Housing Survey, to allow more accurate analysis of comparative impacts of energy policies among population categories of interest (e.g., minority/majority, metropolitan/nonmetropolitan area, census regions, and income class). 78 refs., 9 figs., 29 tabs.

Teotia, A.; Klein, Y.; LaBelle, S.

1988-11-01T23:59:59.000Z

302

Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle  

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

1: January 8, 1: January 8, 2007 Household Vehicle Trips to someone by E-mail Share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Facebook Tweet about Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Twitter Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Google Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Delicious Rank Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Digg Find More places to share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on AddThis.com... Fact #451: January 8, 2007 Household Vehicle Trips In a day, the average household traveled 32.7 miles in 2001 (the latest

303

Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle  

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

2: October 3, 2: October 3, 2005 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on AddThis.com... Fact #392: October 3, 2005 Household Vehicle Ownership Household vehicle ownership has changed significantly over the last 40

304

Heat pump arrangement  

SciTech Connect

The invention concerns a heat pump arrangement for heating of houses. The arrangement comprises a compressor, a condensor and a vaporizer, which is a part of an icing machine. The vaporizer is designed as a heat exchanger and is connected to a circulation system comprising an accumulator, to which the ice slush from the icing machine is delivered. Water from the accumulator is delivered to the icing machine. The water in the accumulator can be heated E.G. By means of a solar energy collector, the outdoor air etc. Surface water or waste water from the household can be delivered to the accumulator and replace the ice slush therein.

Abrahamsson, T.; Hansson, K.

1981-03-03T23:59:59.000Z

305

Table CE4-6.1u. Water-Heating Energy Consumption and Expenditures ...  

U.S. Energy Information Administration (EIA)

Table CE4-6.1u. Water-Heating Energy Consumption and Expenditures by Household Member and Usage Indicators, 2001 Usage Indicators RSE Column Factor:

306

Table WH5. Total Expenditures for Water Heating by Major Fuels ...  

U.S. Energy Information Administration (EIA)

Total Table WH5. Total Expenditures for Water Heating by Major Fuels Used, 2005 Billion Dollars Electricity Natural Gas Fuel Oil LPG U.S. Households

307

Modeling Space Heating Demand in Massachusetts’ Housing Stock and the Implications for Climate Change Mitigation Policy.  

E-Print Network (OSTI)

??This research examines variation in average household energy consumption for space heating in municipalities in Massachusetts in order to explore the magnitude of variation among… (more)

Robinson, Nathan H.

2011-01-01T23:59:59.000Z

308

Table SH5. Total Expenditures for Space Heating by Major Fuels ...  

U.S. Energy Information Administration (EIA)

Space Heating Fuel 4 (millions) Fuel Oil U.S. Households ... 2005 Residential Energy Consumption Survey: Energy Consumption and Expenditures Tables. Natural Gas

309

The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

SciTech Connect

In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

Eisenberg, Joel Fred [ORNL

2008-06-01T23:59:59.000Z

310

The Impact of Carbon Control on Low-Income Household Electricity and Gasoline Expenditures  

SciTech Connect

In July of 2007 The Department of Energy's (DOE's) Energy Information Administration (EIA) released its impact analysis of 'The Climate Stewardship And Innovation Act of 2007,' known as S.280. This legislation, cosponsored by Senators Joseph Lieberman and John McCain, was designed to significantly cut U.S. greenhouse gas emissions over time through a 'cap-and-trade' system, briefly described below, that would gradually but extensively reduce such emissions over many decades. S.280 is one of several proposals that have emerged in recent years to come to grips with the nation's role in causing human-induced global climate change. EIA produced an analysis of this proposal using the National Energy Modeling System (NEMS) to generate price projections for electricity and gasoline under the proposed cap-and-trade system. Oak Ridge National Laboratory integrated those price projections into a data base derived from the EIA Residential Energy Consumption Survey (RECS) for 2001 and the EIA public use files from the National Household Transportation Survey (NHTS) for 2001 to develop a preliminary assessment of impact of these types of policies on low-income consumers. ORNL will analyze the impacts of other specific proposals as EIA makes its projections for them available. The EIA price projections for electricity and gasoline under the S.280 climate change proposal, integrated with RECS and NHTS for 2001, help identify the potential effects on household electric bills and gasoline expenditures, which represent S.280's two largest direct impacts on low-income household budgets in the proposed legislation. The analysis may prove useful in understanding the needs and remedies for the distributive impacts of such policies and how these may vary based on patterns of location, housing and vehicle stock, and energy usage.

Eisenberg, Joel Fred [ORNL

2008-06-01T23:59:59.000Z

311

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

E-Print Network (OSTI)

impact of rate design and net metering on the bill savingselectricity rate through net metering. Given the uncertaintyunder two types of net metering, for each scenario. Results

Barbose, Galen

2013-01-01T23:59:59.000Z

312

Where can I get help paying my utility bills? - FAQ - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Where can I get help paying my utility bills? The U.S. Department of Health and Human Services' Low Income Home Energy Assistance Program (LIHEAP) provides federally ...

313

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

E-Print Network (OSTI)

of rate design and net metering on the bill savings fromelectricity rate through net metering. Given the uncertaintyunder two types of net metering, for each scenario. Results

Barbose, Galen

2013-01-01T23:59:59.000Z

314

Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle  

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

5: February 5, 5: February 5, 2007 Household Vehicle Miles to someone by E-mail Share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Facebook Tweet about Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Twitter Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Google Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Delicious Rank Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Digg Find More places to share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on AddThis.com... Fact #455: February 5, 2007 Household Vehicle Miles The graphs below show the average vehicle miles of travel (VMT) - daily

315

Competition Helps Kids Learn About Energy and Save Their Households...  

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

Competition Helps Kids Learn About Energy and Save Their Households Some Money Competition Helps Kids Learn About Energy and Save Their Households Some Money May 21, 2013 - 2:40pm...

316

Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle  

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

3: January 22, 3: January 22, 2007 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on AddThis.com... Fact #453: January 22, 2007 Household Vehicle Ownership

317

Vehicle Technologies Office: Fact #259: March 17, 2003 Household...  

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

9: March 17, 2003 Household Travel by Gender to someone by E-mail Share Vehicle Technologies Office: Fact 259: March 17, 2003 Household Travel by Gender on Facebook Tweet about...

318

Essays on household decision making in developing countries  

E-Print Network (OSTI)

This dissertation contains three essays on household decision making in the areas of education and health in developing countries. The first chapter explores intra-household decision making in the context of conditional ...

Berry, James W. (James Wesley)

2009-01-01T23:59:59.000Z

319

Development of the Household Sample for Furnace and Boiler Life...  

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

households in the country. The data sample provides the household energy consumption and energy price inputs to the life-cycle cost analysis segment of the furnace and boiler...

320

ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR  

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

ANALYSIS OF CEE HOUSEHOLD SURVEY ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR ® FOR 2012 TABLE OF CONTENTS Acknowledgements .................................................................................. ii Executive Summary ............................................................................ ES-1 Introduction ............................................................................................... 1 Methodology Overview ............................................................................. 2 Key Findings ............................................................................................. 5 Recognition .................................................................................................................. 5 Understanding ........................................................................................................... 12

Note: This page contains sample records for the topic "household heating bills" 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

Household energy handbook: an interim guide and reference manual. World Bank technical paper. Manuel d'energie domestique: memento et guide interimaire  

Science Conference Proceedings (OSTI)

A standard framework for measuring and assessing technical information on the household energy sources in developing countries is needed. This handbook is intended as a first step toward creating such a framework. Chapter 1 discusses energy terms and principals underlying the energy units, definitions, and calculations presented in the following chapters. Chapter 2 describes household consumption patterns and their relationship to income, location and household use variables. Chapter 3 evaluates energy end-uses and the technologies that provide cooking, lighting, refrigeration, and space heating services. Chapter 4 examines household energy resources and supplies, focusing on traditional biomass fuels. Finally, Chapter 5 demonstrates simple assessment methods and presents case studies to illustrate how household energy data can be used in different types of assessments.

Leach, G.; Gowen, M.

1989-01-01T23:59:59.000Z

322

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

Science Conference Proceedings (OSTI)

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

Not Available

1993-03-02T23:59:59.000Z

323

"2012 Average Monthly Bill- Industrial"  

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

Industrial" Industrial" "(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",34164,67854.037,11.83487,8030.4373 "Connecticut",4647,63947.063,12.672933,8103.9685 "Maine",2780,90741.457,7.9819499,7242.9376 "Massachusetts",21145,66710.826,12.566635,8383.3057 "New Hampshire",3444,47247.217,11.83228,5590.423 "Rhode Island",1927,39935.911,10.676724,4263.8471 "Vermont",221,536044.12,9.9796777,53495.475 "Middle Atlantic",45836,126368.14,7.4903534,9465.42 "New Jersey",12729,50817.89,10.516509,5344.2677

324

Participants: William Naughton, COHMED Bill Sherman, NE HLRW Task Force  

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

conference call May 27, 1998 conference call May 27, 1998 Participants: William Naughton, COHMED Bill Sherman, NE HLRW Task Force Bob Fronczak, AAR Mike Butler, UETC Ray English, DOE-NR George Ruberg, UETC Kevin Blackwell, FRA Markus Popa, DOE-RW Sandy Covi, UP The Rail Topic Group is currently in a transitional mode, moving simultaneously toward closure of the two rail information matrices, Comparison of CVSA Recommended National Procedures and Out-Of-Service Criteria for the Enhanced Safety Inspection of Commercial Highway Vehicles Transporting Transuranics, Spent Nuclear Fuel, and High Level Waste to Rail Inspection Standards, and Rail and Highway Regulations Relative to the Transportation of Radioactive Materials and their Applicability to States, Tribes, Shippers, and Carriers, (both

325

"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

326

On Bill Financing: SDG&E/SoCalGas  

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

2 San Diego Gas and Electric Co. and Southern California Gas Company. All copyright and trademark rights reserved. 2 San Diego Gas and Electric Co. and Southern California Gas Company. All copyright and trademark rights reserved. On Bill Financing: SDG&E / SoCalGas Frank Spasaro May 6, 2011 US - China Energy Efficiency Forum OVERVIEW of SDG&E / Southern California Gas * Covers most of the southern parts of California: * 24, 000 square miles * Over 24 million residents * 1.4 million electric meters * 6.65 million gas meters (850k + 5.8 million) California's Energy Action Plan II * In 2005, the CPUC and CEC'S EAP II declared: "[The} goal is for California's energy to be adequate, affordable, technologically advanced, and environmentally sound...[C]ost effective

327

STEO October 2012 - home heating use  

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

Last year's warm U.S. winter temperatures to give way to Last year's warm U.S. winter temperatures to give way to normal, increasing household heating fuel use U.S. households will likely burn more heating fuels to stay warm this winter compared with last year Average household demand for natural gas, the most common primary heating fuel, is expected to be up 14 percent this winter, according to the U.S. Energy Information Administration's new winter fuels forecast. Demand for electricity will be up 8 percent. And demand for heating oil, used mainly in the Northeast, is expected to be 17 percent higher with propane, used mostly in rural areas, also up 17 percent. The primary reason for the boost in heating fuel demand is weather, which is expected to be 20 to 27 percent colder than last winter's unusually warm temperatures in regions of the country

328

Mitigating Carbon Emissions: the Potential of Improving Efficiency of Household Appliances in China  

E-Print Network (OSTI)

Efficiency of Household Appliances in China Jiang Lin8 Appliance Market inEfficiency of Household Appliances in China Executive

Lin, Jiang

2006-01-01T23:59:59.000Z

329

SmartCharge: cutting the electricity bill in smart homes with energy storage  

Science Conference Proceedings (OSTI)

Market-based electricity pricing provides consumers an opportunity to lower their electric bill by shifting consumption to low price periods. In this paper, we explore how to lower electric bills without requiring consumer involvement using an intelligent ... Keywords: battery, electricity, energy, grid

Aditya Mishra; David Irwin; Prashant Shenoy; Jim Kurose; Ting Zhu

2012-05-01T23:59:59.000Z

330

Streaming workload generator for testing billing mediation platform in telecom industry  

Science Conference Proceedings (OSTI)

Billing Mediation Platform (BMP) in Telco is used to process real-time streams of Call Detail Records (CDRs) which can number tens of billions a day. The comprehensive records generated by BMPs can be used for billing and accounting, fraud detection, ...

Eric Bouillet; Parijat Dube

2010-12-01T23:59:59.000Z

331

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

E-Print Network (OSTI)

LBNL-3276E The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV Energy (Solar Energy Technologies Program) and the Office of Electricity Delivery and Energy Reliability of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers

332

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network (OSTI)

heating Elec: Industrial refrigeration Petr: Agricultural estimates for industrial HVAC, refrigeration, and  lighting Commercial Refrigeration NG: Industrial process heating

Masanet, Eric

2010-01-01T23:59:59.000Z

333

Bodman Statement on House Passage of Energy Bill | Department of Energy  

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

House Passage of Energy Bill House Passage of Energy Bill Bodman Statement on House Passage of Energy Bill April 21, 2005 - 10:57am Addthis Washington, DC - Energy Secretary Samuel W. Bodman released the following statement today regarding House passage of energy legislation: "I congratulate the House of Representatives for passing comprehensive energy legislation. This bill will put us on a path to affordable and reliable supplies of energy in the future by improving energy efficiency; increasing domestic energy supplies; diversifying our energy sources to include more renewable energy sources; and modernizing our energy delivery system. For the good of American families, the American economy and America's national security, I call on the Senate to pass energy legislation and get a bill to the President's desk by this summer."

334

Energy Efficiency Tricks to Stop Your Energy Bill from Haunting You |  

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

Tricks to Stop Your Energy Bill from Haunting You Tricks to Stop Your Energy Bill from Haunting You Energy Efficiency Tricks to Stop Your Energy Bill from Haunting You October 21, 2013 - 2:07pm Addthis This Halloween, keep ghosts and goblins at bay -- while saving energy and money -- with these home energy efficiency tricks. | Infographic by Sarah Gerrity, Energy Department. This Halloween, keep ghosts and goblins at bay -- while saving energy and money -- with these home energy efficiency tricks. | Infographic by Sarah Gerrity, Energy Department. Rebecca Matulka Rebecca Matulka Digital Communications Specialist, Office of Public Affairs What are the key facts? The typical American family spends at least $2,000 a year on their home energy bills. Families can save up to 20-30 percent on their energy bills by

335

Bill Richardson Sworn in as Secretary of Energy | National Nuclear Security  

National Nuclear Security Administration (NNSA)

Bill Richardson Sworn in as Secretary of Energy | National Nuclear Security Bill Richardson Sworn in as Secretary of Energy | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Our History > NNSA Timeline > Bill Richardson Sworn in as Secretary of Energy Bill Richardson Sworn in as Secretary of Energy August 18, 1998 Washington, DC Bill Richardson Sworn in as Secretary of Energy

336

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network (OSTI)

by electric and hybrid vehicles", SAE Technical Papers No.household response to hybrid vehicles. Finally, we suggestas electric or hybrid vehicles. Transitions in choices of

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

337

Patterns of residential energy demand by type of household: white, black, Hispanic, and low- and nonlow-income  

SciTech Connect

This report compares patterns of residential energy use by white, black, Hispanic, low-income, and nonlow-income households. The observed downward trend in residential energy demand over the period of this study can be attributed primarily to changes in space-heating energy demand. Demand for space-heating energy has experienced a greater decline than energy demand for other end uses for two reasons: (1) it is the largest end use of residential energy, causing public attention to focus on it and on strategies for conserving it; and (2) space-heating expenditures are large relative to other residential energy expenditures. The price elasticity of demand is thus greater, due to the income effect. The relative demand for space-heating energy, when controlled for the effect of climate, declined significantly over the 1978-1982 period for all fuels studied. Income classes do not differ significantly. In contrast, black households were found to use more energy for space heating than white households were found to use, although those observed differences are statistically significant only for houses heated with natural gas. As expected, the average expenditure for space-heating energy increased significantly for dwellings heated by natural gas and fuel oil. No statistically significant increases were found in electricity expenditures for space heating. Electric space heat is, in general, confined to milder regions of the country, where space heating is relatively less essential. As a consequence, we would expect the electricity demand for space heating to be more price-elastic than the demand for other fuels.

Klein, Y.; Anderson, J.; Kaganove, J.; Throgmorton, J.

1984-10-01T23:59:59.000Z

338

Tips: Heating and Cooling | Department of Energy  

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

Tips: Heating and Cooling Tips: Heating and Cooling Tips: Heating and Cooling May 30, 2012 - 7:38pm Addthis Household Heating Systems: Although several different types of fuels are available to heat our homes, more than half of us use natural gas. | Source: Buildings Energy Data Book 2010, 2.1.1 Residential Primary Energy Consumption, by Year and Fuel Type (Quadrillion Btu and Percent of Total). Household Heating Systems: Although several different types of fuels are available to heat our homes, more than half of us use natural gas. | Source: Buildings Energy Data Book 2010, 2.1.1 Residential Primary Energy Consumption, by Year and Fuel Type (Quadrillion Btu and Percent of Total). Heating and cooling your home uses more energy and costs more money than any other system in your home -- typically making up about 54% of your

339

Household appliance choice: revision of REEPS behavioral models. Final report  

Science Conference Proceedings (OSTI)

This report describes the analysis of household decisions to install space heating, central cooling, and water heating in new housing as well as decisions to own freezers and second refrigerators. This analysis was conducted as part of the enhancements to the Residential End-Use Energy Planning System (REEPS) under EPRI project RP1918-1. The empirical models used in this analysis were the multinomial logit and its generalization the nested logit. The choice model parameters were estimated statistically on national and regional survey data. The results show that capital and operating costs are significant determinants of appliance market penetrations, and the relative magnitudes of the cost coefficients imply discount rates ranging from 3.4 to twenty-one percent. Several tests were conducted to examine the temporal and geographical stability of the key parameters. The estimated parameters have been incorporated into the REEPS computer code. The revised version of REEPS is now available on a limited release basis to EPRI member utilities for testing on their system.

Goett, A.A.

1984-02-01T23:59:59.000Z

340

Comparison groups on bills: Automated, personalized energy information  

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

Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings...

Note: This page contains sample records for the topic "household heating bills" 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

Mitigating Carbon Emissions: the Potential of Improving Efficiencyof Household Appliances in China  

SciTech Connect

China is already the second's largest energy consumer in the world after the United States, and its demand for energy is expected to continue to grow rapidly in the foreseeable future, due to its fast economic growth and its low level of energy use per capita. From 2001 to 2005, the growth rate of energy consumption in China has exceeded the growth rate of its economy (NBS, 2006), raising serious concerns about the consequences of such energy use on local environment and global climate. It is widely expected that China is likely to overtake the US in energy consumption and greenhouse gas (GHG) emissions during the first half of the 21st century. Therefore, there is considerable interest in the international community in searching for options that may help China slow down its growth in energy consumption and GHG emissions through improving energy efficiency and adopting more environmentally friendly fuel supplies such as renewable energy. This study examines the energy saving potential of three major residential energy end uses: household refrigeration, air-conditioning, and water heating. China is already the largest consumer market in the world for household appliances, and increasingly the global production base for consumer appliances. Sales of household refrigerators, room air-conditioners, and water heaters are growing rapidly due to rising incomes and booming housing market. At the same time, the energy use of Chinese appliances is relatively inefficient compared to similar products in the developed economies. Therefore, the potential for energy savings through improving appliance efficiency is substantial. This study focuses particularly on the impact of more stringent energy efficiency standards for household appliances, given that such policies are found to be very effective in improving the efficiency of household appliances, and are well established both in China and around world (CLASP, 2006).

Lin, Jiang

2006-07-10T23:59:59.000Z

342

Information Strategies and Energy Conservation Behavior: A Meta-analysis of Experimental Studies from 1975-2011  

E-Print Network (OSTI)

household pays its own electricity bill. Individuals shouldmonthly residential electricity bill is $110 (EIA 2010), so

Delmas, Magali; Fischlein, Miriam; Asensio, Omar

2013-01-01T23:59:59.000Z

343

Information Strategies and Energy Conservation Behavior: A Meta-analysis of Experimental Studies from 1975-2012  

E-Print Network (OSTI)

household pays its own electricity bill. Individuals shouldmonthly residential electricity bill is $110 (EIA 2010), so

Delmas, Magali A.; Fischlein, Miriam; Asensio, Omar I.

2013-01-01T23:59:59.000Z

344

" Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"  

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

8 Water Heating Characteristics by Household Income, 2005" 8 Water Heating Characteristics by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Water Heating Characteristics" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Number of Water Heaters" "1.",106.3,25.8,28,19.6,12.7,20.2,16,37.3 "2 or More",3.7,0.3,0.5,0.9,0.4,1.7,"Q",0.5 "Do Not Use Hot Water",1.1,0.6,0.3,"Q","N","Q",0.5,0.8

345

A Model of Household Demand for Activity Participation and Mobility  

E-Print Network (OSTI)

household car ownership, car usage, and travel by differentownership demand, and car usage demand. Modal travel demand,mode), car ownership, and car usage for spatial aggregations

Golob, Thomas F.

1996-01-01T23:59:59.000Z

346

Crime and the Nation’s Households, 2000 By  

E-Print Network (OSTI)

experienced 1 or more violent or property crimes in 2000, according to data from the National Crime Victimization Survey (NCVS). About 4.3 million households had members who experienced 1 or more nonfatal violent crimes, including rape, sexual assault, robbery, and aggravated or simple assault. About 14.8 million households experienced 1 or more property crimes — household burglary, motor vehicle theft, or theft. Vandalism, presented for the first time in a Bureau of Justice Statistics (BJS) report, victimized about 6.1 million households. The households that sustained vandalism were counted separately from those experiencing other crimes. Because vandalism is included for the first time, findings are presented in a box on page 4. Beginning in 2001, NCVS victimizations will be measured both with and without vandalism. Measuring the extent to which households are victimized by crime One measure of the impact of crime throughout the Nation is gained through estimating the number and percentage of households victimized Highlights During 2000, 16 % of U.S. households had a member who experienced a crime, with 4 % having a member victimized by violent crime. During 1994, 25 % of households experienced at least one crime; 7 % a violent crime.

Patsy A. Klaus

2002-01-01T23:59:59.000Z

347

Barriers to household investment in residential energy conservation: preliminary assessment  

Science Conference Proceedings (OSTI)

A general assessment of the range of barriers which impede household investments in weatherization and other energy efficiency improvements for their homes is provided. The relationship of similar factors to households' interest in receiving a free energy audits examined. Rates of return that underly household investments in major conservation improvements are assessed. A special analysis of household knowledge of economically attractive investments is provided that compares high payback improvements specified by the energy audit with the list of needed or desirable conservation improvements identified by respondents. (LEW)

Hoffman, W.L.

1982-12-01T23:59:59.000Z

348

Household Responses to the Financial Crisis in Indonesia  

E-Print Network (OSTI)

on farm households in Indonesia and Thailand,” World Bank20. Cameron, Lisa. (1999). “Indonesia: a quarterly review,”The Real Costs of Indonesia's Economic Crisis: Preliminary

Thomas, Duncan; Frankenberg, Elizabeth

2005-01-01T23:59:59.000Z

349

Answers to Frequently Asked Questions About the Household Bottled ...  

U.S. Energy Information Administration (EIA)

Form EIA-457D (2001) -- Household Bottled Gas (LPG or Propane) Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

350

SUPPLEMENTAL ENERGY-RELATED DATA FOR THE 2001 NATIONAL HOUSEHOLD ...  

U.S. Energy Information Administration (EIA)

... vehicle manufacturer, vehicle model, vehicle model year, and vehicle type – several ENERGY INFORMATION ADMINISTRATION/2001 NATIONAL HOUSEHOLD TRAVEL SURVEY K-23 ...

351

Essays on the effects of demographics on household consumption.  

E-Print Network (OSTI)

??My dissertation analyses the relationship between households' consumption behavior and changes in family demographic characteristics. The first paper studies consumption over the period of the… (more)

Stepanova, Ekaterina, 1977-

2006-01-01T23:59:59.000Z

352

Table 1. Household Characteristics by Ceiling Fans, 2001  

U.S. Energy Information Administration (EIA)

A reporting of the number of housing units using ceiling fans in U.S. households as reported in the 2001 Residential Energy Consumption Survey

353

U.S. households are incorporating energy–efficient features ...  

U.S. Energy Information Administration (EIA)

... area of increased efficiency: about 60% of households use at least some energy-efficient compact fluorescent (CFL) or light-emitting diode (LED) ...

354

Analysis of the energy requirement for household consumption.  

E-Print Network (OSTI)

??Humans in households use energy for their activities. This use is both direct, for example electricity and natural gas, but also indirect, for the production,… (more)

Vringer, Kees

2005-01-01T23:59:59.000Z

355

Householder's Perceptions of Insulation Adequacy and Drafts in the ...  

U.S. Energy Information Administration (EIA)

The 2001 RECS was the first RECS to request household perceptions regarding the presence of winter drafts in the home. The data presented in this report ...

356

1997 Residential Energy Consumption and Expenditures per Household ...  

U.S. Energy Information Administration (EIA)

Return to: Residential Home Page . Changes in the 1997 RECS: Housing Unit Type Per Household Member Per Building Increase. Residential Energy Consumption ...

357

Answers to Frequently Asked Questions About the Household ...  

U.S. Energy Information Administration (EIA)

Form EIA-457E (2001) – Household Electricity Usage Form OMB No. 1905-0092, Expiring February 29, 2004 2001 Residential Energy Consumption Survey

358

Cost Avoidance vs. Utility Bill Accounting - Explaining theDiscrepancy Between Guaranteed Savings in ESPC Projects and UtilityBills  

SciTech Connect

Federal agencies often ask if Energy Savings PerformanceContracts (ESPCs) result in the energy and cost savings projected duringthe project development phase. After investing in ESPCs, federal agenciesexpect a reduction in the total energy use and energy cost at the agencylevel. Such questions about the program are common when implementing anESPC project. But is this a fair or accurate perception? Moreimportantly, should the federal agencies evaluate the success or failureof ESPCs by comparing the utility costs before and after projectimplementation?In fact, ESPC contracts employ measurement andverification (M&V) protocols to measure and ensure kilowatt-hour orBTU savings at the project level. In most cases, the translation toenergy cost savings is not based on actual utility rate structure, but acontracted utility rate that takes the existing utility rate at the timethe contract is signed with a clause to escalate the utility rate by afixed percentage for the duration of the contract. Reporting mechanisms,which advertise these savings in dollars, may imply an impact to budgetsat a much higher level depending on actual utility rate structure. FEMPhas prepared the following analysis to explain why the utility billreduction may not materialize, demonstrate its larger implication onagency s energy reduction goals, and advocate setting the rightexpectations at the outset to preempt the often asked question why I amnot seeing the savings in my utility bill?

Kumar, S.; Sartor, D.

2005-08-15T23:59:59.000Z

359

Household energy consumption and expenditures 1987  

SciTech Connect

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

Not Available

1990-01-22T23:59:59.000Z

360

In-vessel composting of household wastes  

Science Conference Proceedings (OSTI)

The process of composting has been studied using five different types of reactors, each simulating a different condition for the formation of compost; one of which was designed as a dynamic complete-mix type household compost reactor. A lab-scale study was conducted first using the compost accelerators culture (Trichoderma viridae, Trichoderma harzianum, Trichorus spirallis, Aspergillus sp., Paecilomyces fusisporus, Chaetomium globosum) grown on jowar (Sorghum vulgare) grains as the inoculum mixed with cow-dung slurry, and then by using the mulch/compost formed in the respective reactors as the inoculum. The reactors were loaded with raw as well as cooked vegetable waste for a period of 4 weeks and then the mulch formed was allowed to maturate. The mulch was analysed at various stages for the compost and other environmental parameters. The compost from the designed aerobic reactor provides good humus to build up a poor physical soil and some basic plant nutrients. This proves to be an efficient, eco-friendly, cost-effective, and nuisance-free solution for the management of household solid wastes.

Iyengar, Srinath R. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: srinathrangamani@yahoo.com; Bhave, Prashant P. [Civil and Environmental Engineering Department, V.J. Technological Institute, H.R. Mahajani Road, Matunga, Mumbai 400 019 (India)]. E-mail: drppbhave@vsnl.net

2006-07-01T23:59:59.000Z

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


361

Iowa Shade Trees Bring Energy Bills Down, Beauty Up | Department of Energy  

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

Iowa Shade Trees Bring Energy Bills Down, Beauty Up Iowa Shade Trees Bring Energy Bills Down, Beauty Up Iowa Shade Trees Bring Energy Bills Down, Beauty Up November 10, 2010 - 9:00am Addthis Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Lindsay Gsell What are the key facts? Iowa non-profit will plant 2,500 trees to encourage energy efficiency Using nearly $160,000 in State Energy Program funding through the Recovery Act Large shade trees can lower cooling bills by up to 30 percent

362

ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred  

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

Announces 2012 Energy Innovation Summit Featuring Bill Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott ARPA-E Announces 2012 Energy Innovation Summit Featuring Bill Gates, Fred Smith and Lee Scott September 9, 2011 - 9:25am Addthis New York, NY - The U.S. Department of Energy's Advanced Research Projects Agency - Energy (ARPA-E) Director, Arun Majumdar, announced yesterday that the Agency will hold its third annual ARPA-E Energy Innovation Summit from February 27 - 29, 2012 at the Gaylord Convention Center just outside Washington, D.C. Bill Gates, founder and chairman of Microsoft; Fred Smith, chairman, president and CEO of FedEx; and Lee Scott, former CEO of Wal-Mart; will join Secretary Chu and Director Majumdar as distinguished keynote speakers. "After two successful Summits, I'm excited to once again bring some of

363

SoCalGas - Non-Residential On-Bill Financing Program | Department of Energy  

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

On-Bill Financing Program On-Bill Financing Program SoCalGas - Non-Residential On-Bill Financing Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Tribal Government Savings Category Other Program Info State California Program Type Utility Loan Program Rebate Amount General Minimum Loan Amount: $5,000/meter minimum Non-Institutional Customers: up to $100,000/meter with 5 year max payback Taxpayer Funded Institutions: up to $250,000/meter with 10 year max payback State of California: up to $1,000,000 with 10 year max payback Provider Southern California Gas Company The SoCalGas On-Bill Financing (OBF) program offers qualified business customers 0% financing from $5,000 to $100,000 per meter for qualifying

364

Planning Bill Nye The Science Guy's Climate Research Lab at Chabot Space  

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

Planning Bill Nye The Science Guy's Climate Research Lab at Chabot Space Planning Bill Nye The Science Guy's Climate Research Lab at Chabot Space and Science Center Speaker(s): Andrew Anway David Bloom Date: September 24, 2008 - 12:00pm Location: 90-3075 Seminar Host/Point of Contact: Allan Chen Sometime in 2009, the Chabot Space and Science Center hopes to debut a new museum exhibition tentatively titled Bill Nye The Science Guy's Climate Research Lab, subtitle, Mission Possible: Reduce the CO2. The interactive show is anchored by science educator Bill Nye the Science Guy, is aimed towards children and families. It will explain the basic science behind climate change, and its potential effects on humans and the rest of the biosphere, while exploring some ways of reducing greenhouse gas emissions, both what we can do now, and advanced technologies that may someday play a

365

SCE - Non-Residential On-Bill Financing Program | Department of Energy  

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

On-Bill Financing Program On-Bill Financing Program SCE - Non-Residential On-Bill Financing Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Schools State Government Tribal Government Savings Category Other Maximum Rebate Taxpayer Funded Institutions: up to $250,000/meter with 5 year max payback Non-Institutional Customers: up to $100,000/meter with 5 year max payback State of California: up to $1,000,000 with 10 year max payback Program Info Start Date 8/2/2010 State California Program Type Utility Loan Program Rebate Amount 5,000 minimum Provider Business Programs The SoCalGas On-Bill Financing (OBF) program offers qualified business customers 0% financing from $5,000 to $100,000 per meter for qualifying

366

VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy |  

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

VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy VIDEO: Bill Gates and Secretary Chu Chat on the Future of Energy March 5, 2012 - 1:24pm Addthis Secretary Chu sits down with Microsoft Founder and Chairman Bill Gates at the 2012 ARPA-E Energy Innovation Summit. April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs Last week, attendees at the 2012 ARPA-E Energy Innovation Summit heard from a variety of leaders from across the research, business and government sectors who spoke at the conference of nearly 2,400. These speakers, along with the startup companies and innovators in attendance, converged outside of Washington, D.C., to offer their take on how America can tackle our energy challenges. One of the top-level highlights from the Summit included this fireside chat

367

Iowa Shade Trees Bring Energy Bills Down, Beauty Up | Department of Energy  

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

Shade Trees Bring Energy Bills Down, Beauty Up Shade Trees Bring Energy Bills Down, Beauty Up Iowa Shade Trees Bring Energy Bills Down, Beauty Up November 10, 2010 - 9:00am Addthis Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Volunteers from the Waverly Trees Forever group are planting windbreak trees on the north side of the mobile home court. Waverly experienced record flooding in 2008. | Photo Courtesy of Trees Forever Lindsay Gsell What are the key facts? Iowa non-profit will plant 2,500 trees to encourage energy efficiency Using nearly $160,000 in State Energy Program funding through the Recovery Act Large shade trees can lower cooling bills by up to 30 percent

368

SDG&E- Non-Residential On-Bill Financing Program  

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

The SDG&E On-Bill Financing (OBF) program offers qualified business customers 0% financing from $5,000 to $100,000 per meter for qualifying natural gas equipment. All institutional customers...

369

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

Open Energy Info (EERE)

Impact of Rate Design and Net Metering on the Bill Savings from Impact of Rate Design and Net Metering on the Bill Savings from Distributed Photovoltaics (PV) for Residential Customers in California Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Impact of Rate Design and Net Metering on the Bill Savings from Distributed Photovoltaics (PV) for Residential Customers in California Focus Area: Renewable Energy Topics: Best Practices Website: eetd.lbl.gov/ea/emp/reports/lbnl-3276e.pdf Equivalent URI: cleanenergysolutions.org/content/impact-rate-design-and-net-metering-b Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation This report analyzes the bill savings from photovoltaic (PV) deployment for residential customers of California's two largest electric utilities -

370

Seeing Savings from an ESPC Project in Fort Polk's Utility Bills  

SciTech Connect

Federal agencies have implemented many energy efficiency projects over the years with direct funding or alternative financing vehicles such as energy savings performance contracts (ESPCs). While it is generally accepted that these projects save energy and costs, the savings are usually not obvious in the utility bills. This is true for many valid technical reasons, even when savings are verified in other ways to the highest degree of certainty. However, any perceived deficiency in the evidence for savings is problematic when auditors or other observers evaluate the outcome of energy projects and the achievements of energy management programs. This report discusses under what circumstances energy savings should or should not be evident in utility bills. In the special case of a large ESPC project at the Army's Fort Polk, the analysis of utility bills carried out by the authors does unequivocally confirm and quantify savings. The data requirements and methods for arriving at definitive answers through utility bill analysis are demonstrated in our discussion of the Fort Polk project. The following paragraphs address why the government generally should not expect to see savings from ESPC projects in their utility bills. We also review lessons learned and best practices for measurement and verification (M&V) that can assure best value for the government and are more practical, straightforward, and cost-effective than utility bill analysis.

Shonder, J.A.

2005-03-08T23:59:59.000Z

371

202-328-5000 www.rff.orgA New Look at Residential Electricity Demand Using Household Expenditure Data  

E-Print Network (OSTI)

We estimate residential electricity demand for different regions of the country, assuming that consumers respond to average electricity prices. We circumvent the need for individual billing information by developing a novel generalized method of moments approach that allows us to estimate demand based on household electricity expenditure data from the Consumer Expenditure Survey, which does not have quantity and price information. We find that price elasticity estimates vary across the four census regions—the South at –1.02 is the most price-elastic region and the Northeast at –0.82 is the least—and are essentially equivalent across income quartiles. In general, these price elasticity estimates are considerably larger in magnitude than those found in other studies using household-level data that assume that consumers respond to marginal prices. We also apply our elasticity estimates in a U.S. climate policy simulation to determine how these elasticity estimates alter consumption and price outcomes compared to the more conservative elasticity estimates commonly used in policy analysis.

Harrison Fell; Shanjun Li; Anthony Paul; Harrison Fell; Shanjun Li; Anthony Paul; Monte Carlo Analysis

2010-01-01T23:59:59.000Z

372

A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409, "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"  

E-Print Network (OSTI)

EPRI EA-3409, "Household Appliance Choice: Revision of REEPSEA",3409: "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPSreport EA-3409, "Household Appliance Choice: Revi- sion of

Wood, D.J.

2010-01-01T23:59:59.000Z

373

Simulating household activities to lower consumption peaks: demonstration  

Science Conference Proceedings (OSTI)

Energy experts need fine-grained dynamics oriented tools to investigate household activities in order to improve power management in the residential sector. This paper presents the SMACH framework for modelling, simulating and analy- sis of household ... Keywords: agent-based modelling, energy, social simulation

Edouard Amouroux, Francois Sempé, Thomas Huraux, Nicolas Sabouret, Yvon Haradji

2013-05-01T23:59:59.000Z

374

Elements of consumption: an abstract visualization of household consumption  

Science Conference Proceedings (OSTI)

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

Stephen Makonin; Philippe Pasquier; Lyn Bartram

2011-07-01T23:59:59.000Z

375

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

E-Print Network (OSTI)

for those who pay an electricity bill and had experienceyour household  electricity bill.   Question  Affordable:about   your household electricity bill.   #  Question  5 

Peffer, Therese E.

2009-01-01T23:59:59.000Z

376

Purchasing a New Energy-Efficient Central Heating System | Department of  

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

Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System October 21, 2008 - 4:00am Addthis John Lippert Energy prices are skyrocketing. According to the Energy Information Administration's October 7, 2008 forecast, heating fuel expenditures for the average household using oil as its primary heating fuel are expected to increase by $449 over last winter. Households using natural gas to heat their homes can expect to pay $155 more this winter, on average, than last year, and those using propane can expect to pay $188 more. Households heating primarily with electricity can expect to pay an average of $89 more. That's a lot of money resulting solely from rising heating expenses. You may long for the "good old days," but when it comes to heating systems,

377

Purchasing a New Energy-Efficient Central Heating System | Department of  

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

Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System October 21, 2008 - 4:00am Addthis John Lippert Energy prices are skyrocketing. According to the Energy Information Administration's October 7, 2008 forecast, heating fuel expenditures for the average household using oil as its primary heating fuel are expected to increase by $449 over last winter. Households using natural gas to heat their homes can expect to pay $155 more this winter, on average, than last year, and those using propane can expect to pay $188 more. Households heating primarily with electricity can expect to pay an average of $89 more. That's a lot of money resulting solely from rising heating expenses. You may long for the "good old days," but when it comes to heating systems,

378

Table AC1. Total Households Using Air-Conditioning Equipment, 2005 ...  

U.S. Energy Information Administration (EIA)

Table AC1. Total Households Using Air-Conditioning Equipment, 2005 Million U.S. Households Type of Air-Conditioning Equipment (millions) Central System

379

Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

E-Print Network (OSTI)

1994) Demand for Electric Vehicles in Hybrid Households: A nand the Household Electric Vehicle Market: A Constraintsthe mar- ket for electric vehicles in California. Presented

Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

1996-01-01T23:59:59.000Z

380

Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

E-Print Network (OSTI)

of Household Income and Appliance Ownership. ECEEE Summerof decreasing prices of appliances, if price data becomesForecasting Household Appliance Ownership in a Growing

Letschert, Virginie

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household heating bills" 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

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

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

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

382

Long-billed curlews on the Yakima Training Center: Information for base realignment  

SciTech Connect

This report summarizes and discusses the results obtained during 1992 from the study of long-billed curlews on the Yakima Training Center (YTC), which Pacific Northwest Laboratory conducted for the US Department of the Army. This study was initiated to provide basic ecological information on YTC long-billed curlews (Numenius americanus). The long-billed curlew is a relatively common spring and summer resident on the YTC. However, other than casual observations, very little is known about the distribution, density, reproductive success, and habitat requirements for this species on the YTC. Until recently the long-billed curlew was a US Fish and Wildlife Service candidate for listing as threatened or endangered; however, on November 21, 1991 it was down-listed to Class IIIc. The Washington Department of Wildlife lists the long-billed curlew as a ``species of special concern.`` Specific objectives of this study were to (1) locate nesting areas, (2) locate brood-rearing areas, (3) evaluate habitat requirements, (4) determine diet, (5) evaluate response to troop activities, (6) evaluate the impact of livestock grazing, (7) estimate the population size, and (8) estimate recruitment rates. Six curlews (four females and two males) were captured and fitted with radio transmitters. These birds were relocated to obtain nesting, habitat use, and feeding information. Road surveys conducted over most of the YTC provided information on the bird`s general distribution, habitat requirements, and nesting and brood-rearing areas.

Hand, K.D.; Cadwell, L.L.; Eberhardt, L.E.

1994-02-01T23:59:59.000Z

383

Energy and Water Development Appropriation Bill, 1987. Introduced in the Senate, Ninety-Ninth Congress, Second Session, September 15, 1986  

SciTech Connect

The Senate Appropriations Committee report on H.R. 5162 includes information pertaining to the bill as well as suggested amendments to the nearly $15.55 billion bill passed by the House. The four titles of the bill cover appropriations for the Army Corps of Engineers, the Departments of Interior and Energy, and independent agencies. Detailed budget items and committee recommendations make up the bulk of the report.

1986-01-01T23:59:59.000Z

384

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network (OSTI)

Use Facility HVAC CHP and/or Cogeneration Process FacilityBoiler Use CHP and/or Cogeneration Process Facility HVAC Endby process heating, cogeneration, and steam systems  in the 

Masanet, Eric

2010-01-01T23:59:59.000Z

385

Money for Research, Not for Energy Bills: Finding Energy and Cost Savings in High Performance Computer Facility Designs  

E-Print Network (OSTI)

Money for Research, Not Energy Bills: Finding Energy andUniversity of California. Money for Research, Not for Energy2014 and potentially siphons money from other priorities to

Sartor, Dale

2011-01-01T23:59:59.000Z

386

FY2013Appropriations Update: House andSenate Committees ApproveEnergy-WaterDevelopment AppropriationsBill  

E-Print Network (OSTI)

allocation. The priorities for the House bill include DOE's nuclear security programs, programs to address water infrastructure, clean energy technologies, and nuclear nonproliferation and nuclear weapons

387

Secretary of Energy Samuel W. Bodman's Statement on the First Meeting of the House-Senate Energy Bill Conference Committee  

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

WASHINGTON, D.C. - Secretary of Energy Samuel W. Bodman today released the following statement on the first meeting of the House-Senate Energy Bill Conference Committee:

388

Day Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Chu and  

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

Day Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Day Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Chu and America's Top Energy Thought Leaders Day Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Chu and America's Top Energy Thought Leaders February 28, 2012 - 7:02am Addthis Washington D.C. - This week, the Advanced Research Projects Agency - Energy (ARPA-E) is hosting its third annual Energy Innovation Summit, which is designed to unite key players from all sectors of America's energy innovation community to share ideas for how to lead the world in the development of next generation clean energy technologies, develop our nation's energy resources, and build an American economy that lasts. Tomorrow's full agenda with speakers is below. For specific press requests, please contact Keri Fulton at keri.fulton@hq.doe.gov.

389

New Infographic and Projects to Keep Your Energy Bills Out of Hot Water |  

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

Infographic and Projects to Keep Your Energy Bills Out of Hot Infographic and Projects to Keep Your Energy Bills Out of Hot Water New Infographic and Projects to Keep Your Energy Bills Out of Hot Water April 19, 2013 - 3:21pm Addthis New Energy Saver 101 infographic lays out the different types of water heaters on the market and will help you figure out how to select the best model for your home. Download a high-resolution version of the infographic. | Infographic by Sarah Gerrity. New Energy Saver 101 infographic lays out the different types of water heaters on the market and will help you figure out how to select the best model for your home. Download a high-resolution version of the infographic. | Infographic by Sarah Gerrity. Rebecca Matulka Rebecca Matulka Digital Communications Specialist, Office of Public Affairs

390

How to Save on Energy Bills When Buying a New Home | Department of Energy  

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

How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home June 26, 2013 - 2:09pm Addthis When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses. This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses.

391

VP 100: Smart Meters Will Help Customers Avoid High Electric Bills |  

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

Smart Meters Will Help Customers Avoid High Electric Bills Smart Meters Will Help Customers Avoid High Electric Bills VP 100: Smart Meters Will Help Customers Avoid High Electric Bills October 4, 2010 - 3:00pm Addthis An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB Kevin Craft What are the key facts? EPB will install approximately 170,000 smart meters and 1,500 automated switches. They have the potential to provide a $300 million value to EPB and customers over a ten-year period. "Last winter I received a call from my son saying he had a $400 electric

392

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

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

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

393

Day Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Chu and  

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

Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Chu and America's Top Energy Thought Leaders Day Two of 2012 ARPA-E Summit Will Feature Bill Gates, Secretary Chu and America's Top Energy Thought Leaders February 28, 2012 - 7:02am Addthis Washington D.C. - This week, the Advanced Research Projects Agency - Energy (ARPA-E) is hosting its third annual Energy Innovation Summit, which is designed to unite key players from all sectors of America's energy innovation community to share ideas for how to lead the world in the development of next generation clean energy technologies, develop our nation's energy resources, and build an American economy that lasts. Tomorrow's full agenda with speakers is below. For specific press requests, please contact Keri Fulton at keri.fulton@hq.doe.gov.

394

Microsoft PowerPoint - 03.2010_Metering Billing MDM America.pptx  

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

METERING BILLING/MDM AMERICA METERING BILLING/MDM AMERICA Back-up Generation Sources (BUGS) Prepared by Steve Pullins March 9, 2010 Metering, Billing/MDM America - San Diego, CA This material is based upon work supported by the Department of Energy under Award Number DE- Department of Energy under Award Number DE AC26-04NT41817 This presentation was prepared as an account of work sponsored by an agency of This presentation was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed or represents

395

Energy Secretary Bodman's Statement on House Passage of the Energy Bill |  

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

Bodman's Statement on House Passage of the Energy Bodman's Statement on House Passage of the Energy Bill Energy Secretary Bodman's Statement on House Passage of the Energy Bill July 28, 2005 - 2:29pm Addthis WASHINGTON, DC - Secretary of Energy Samuel W. Bodman today released the following statement regarding House passage of the Energy Policy Act of 2005: "Ensuring America's future energy security has been a priority for President Bush since his early days in office, and I commend the House of Representatives, particularly Chairman Barton and Ranking Member Dingell, for their efforts on this broad-based legislation that helps achieve that goal. Because of the hard work and thoughtful approach that went into crafting this bipartisan legislation, the House has passed a bill that will reduce energy demand, increase energy supplies, and update our aging energy

396

New Independent Analysis Confirms Climate Bill Costs About a Postage Stamp  

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

Independent Analysis Confirms Climate Bill Costs About a Independent Analysis Confirms Climate Bill Costs About a Postage Stamp a Day New Independent Analysis Confirms Climate Bill Costs About a Postage Stamp a Day August 4, 2009 - 12:00am Addthis Washington, D.C. - A new analysis by the independent, non-partisan Energy Information Agency confirms findings by earlier reports from the Congressional Budget Office and the Environmental Protection Agency that the Waxman-Markey energy and climate legislation will cost Americans roughly the same as a postage stamp a day. The EIA analysis projects an increased cost of about $83 (adjusted for inflation) by 2030 -- or roughly 23 cents a day. Energy Secretary Steven Chu made the following statement: "This new, independent and highly respected analysis confirms the findings

397

Energy Secretary Bodman Heads to West Virginia to Promote Energy Bill |  

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

Heads to West Virginia to Promote Energy Heads to West Virginia to Promote Energy Bill Energy Secretary Bodman Heads to West Virginia to Promote Energy Bill July 7, 2005 - 2:00pm Addthis Secretary Promotes Energizing America for Energy Security BELLE, WV - Secretary of Energy Samuel W. Bodman today traveled to West Virginia to urge the Congress to pass comprehensive energy legislation that is now before them. The bill reflects many of the principles of President Bush's national energy policy including the diversification of America's energy supply to include more alternative and renewable sources; encouraging energy efficiency and conservation; promoting more domestic production in environmentally responsible ways; and modernizing our electricity delivery system to minimize the risk of blackouts. President

398

Utility bill comprehension in the commercial and industrialsector: results of field research  

SciTech Connect

This paper presents the results of interviews conducted with 44 business people in 10 states to examine the use of the utility bill as an information mechanism for providing businesses with the relationship between energy consumption and cost. Our results indicate that there are significant barriers to the use of the utility bill as an information tool for energy consumers. Furthermore, we found significant variations among respondents in the information desired from the bill, and differences in decision-making criteria for investments aimed at reducing energy consumption and for those aimed at other forms of waste minimization. These results call into question the applicability of standard market theories in the purchase of energy by most businesses.

Payne, Christopher T.

2000-06-02T23:59:59.000Z

399

VP 100: Smart Meters Will Help Customers Avoid High Electric Bills |  

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

VP 100: Smart Meters Will Help Customers Avoid High Electric Bills VP 100: Smart Meters Will Help Customers Avoid High Electric Bills VP 100: Smart Meters Will Help Customers Avoid High Electric Bills October 4, 2010 - 3:00pm Addthis An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB An employee installs a smart meter as part of a smart grid initiative by EPB. The project is supporting 390 jobs in the Chattanooga area. | Photo courtesy of EPB Kevin Craft What are the key facts? EPB will install approximately 170,000 smart meters and 1,500 automated switches. They have the potential to provide a $300 million value to EPB and customers over a ten-year period. "Last winter I received a call from my son saying he had a $400 electric

400

How to Save on Energy Bills When Buying a New Home | Department of Energy  

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

How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home How to Save on Energy Bills When Buying a New Home June 26, 2013 - 2:09pm Addthis When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 When considering a new home, keep energy efficiency in mind. | Photo courtesy of Warren Gretz, NREL 08742 This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses. This chart shows how much energy a typical appliance uses per year and its corresponding cost based on national averages. For example, a refrigerator uses almost five times the electricity the average television uses.

Note: This page contains sample records for the topic "household heating bills" 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

Day Three of 2012 ARPA-E Summit Will Feature President Bill Clinton, ARPA-E  

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

Day Three of 2012 ARPA-E Summit Will Feature President Bill Day Three of 2012 ARPA-E Summit Will Feature President Bill Clinton, ARPA-E Director Majumdar, and America's Top Energy Thought Leaders Day Three of 2012 ARPA-E Summit Will Feature President Bill Clinton, ARPA-E Director Majumdar, and America's Top Energy Thought Leaders February 29, 2012 - 6:59am Addthis Washington D.C. - This week, the Advanced Research Projects Agency - Energy (ARPA-E) is hosting its third annual Energy Innovation Summit. With over 2,400 registered attendees, the Summit is designed to unite key players from all sectors of America's energy innovation community to share ideas for how to lead the world in the development of next generation clean energy technologies, develop our nation's energy resources, and build an American economy that lasts.

402

Measurement of nicotine in household dust  

Science Conference Proceedings (OSTI)

An analytical method of measuring nicotine in house dust was optimized and associations among three secondhand smoking exposure markers were evaluated, i.e., nicotine concentrations of both house dust and indoor air, and the self-reported number of cigarettes smoked daily in a household. We obtained seven house dust samples from self-reported nonsmoking homes and 30 samples from smoking homes along with the information on indoor air nicotine concentrations and the number of cigarettes smoked daily from an asthma cohort study conducted by the Johns Hopkins Center for Childhood Asthma in the Urban Environment. House dust nicotine was analyzed by isotope dilution gas chromatography-mass spectrometry (GC/MS). Using our optimized method, the median concentration of nicotine in the dust of self-reported nonsmoking homes was 11.7 ng/mg while that of smoking homes was 43.4 ng/mg. We found a substantially positive association (r=0.67, P<0.0001) between house dust nicotine concentrations and the numbers of cigarettes smoked daily. Optimized analytical methods showed a feasibility to detect nicotine in house dust. Our results indicated that the measurement of nicotine in house dust can be used potentially as a marker of longer term SHS exposure.

Kim, Sungroul [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Institute for Global Tobacco Control, 627 N. Washington Street, 2nd Floor Baltimore, MD 21205 (United States); Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)], E-mail: srkim@jhsph.edu; Aung, Ther; Berkeley, Emily [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Diette, Gregory B. [Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States); Department of Medicine, Johns Hopkins University School of Medicine (United States); Breysse, Patrick N. [Department of Environmental Health Sciences, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205 (United States)

2008-11-15T23:59:59.000Z

403

Water Heating | OpenEI  

Open Energy Info (EERE)

Water Heating Water Heating Dataset Summary Description Provides total and average household expenditures on energy for water heating in the United States in 2005. 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) application/vnd.ms-excel icon 2005_Avg.Expenditures.for_.Water_.Heating_EIA.Sep_.2008.xls (xls, 69.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period 2005 License License Other or unspecified, see optional comment below Comment Rate this dataset Usefulness of the metadata Average vote Your vote

404

Consumer Winter Heating Oil Costs  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: The outlook for heating oil costs this winter, due to high crude oil costs and tight heating oil supplies, breaks down to an expected increase in heating expenditures for a typical oil-heated household of more than $200 this winter, the result of an 18% increase in the average price and an 11% increase in consumption. The consumption increase is due to the colder than normal temperatures experienced so far this winter and our expectations of normal winter weather for the rest of this heating season. Last winter, Northeast heating oil (and diesel fuel) markets experienced an extremely sharp spike in prices when a severe weather situation developed in late January. It is virtually impossible to gauge the probability of a similar (or worse) price shock recurring this winter,

405

Microsoft PowerPoint - Bill Segal.ppt  

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

Inertia Welding Inertia Welding Applications Inertia Welding Inertia Welding Applications Applications It is possible, by using proper procedures and with proper inertia/friction welding equipment, to generate repeatable full strength weld applications. It is possible, by using proper It is possible, by using proper procedures and with proper procedures and with proper inertia/friction welding equipment, inertia/friction welding equipment, to generate repeatable full to generate repeatable full strength weld applications. strength weld applications. Bend and pressure tests show the strength of Inertia Welded transitions. Bi-metal fittings used in pressure vessels, vacuum and heat pipe systems. Stainless steel to aluminum in cryogenic applications. Ordinance applications call for unique

406

Energy Efficiency & On-Bill Financing for Samll Business & Residential  

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

Energy Efficiency Energy Efficiency & On-Bill Financing For Small Businesses & Residential Presentation for: The Second US-China Energy Efficiency Forum Berkeley, California 05/06/2011 May 5-6, 2011|Lawrence Berkeley National Laboratory, Berkeley, California Connecticut Energy Efficiency Fund (CEEF) Connecticut's Energy Efficiency Programs are funded by a Charge on Customer's electric bills. The Programs are designed to help customers manage their energy usage and cost. May 5-6, 2011|Lawrence Berkeley National Laboratory, Berkeley, California Small Business Objective  PROVIDE > COST-EFFECTIVE, turn-key CONSERVATION and LOAD MANAGEMENT SERVICES to SMALL C&I CUSTOMERS.  What qualifies as a SMALL BUSINESS?

407

Appliance Standby Power and Energy Consumption in South African Households  

Open Energy Info (EERE)

Appliance Standby Power and Energy Consumption in South African Households Appliance Standby Power and Energy Consumption in South African Households Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Appliance Standby Power and Energy Consumption in South African Households Focus Area: Appliances & Equipment Topics: Policy Impacts Website: active.cput.ac.za/energy/web/DUE/DOCS/422/Paper%20-%20Shuma-Iwisi%20M. Equivalent URI: cleanenergysolutions.org/content/appliance-standby-power-and-energy-co Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance A modified engineering model is proposed to estimate standby power and energy losses in households. The modified model accounts for the randomness of standby power and energy losses due to unpredicted user appliance operational behavior.

408

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

409

Profiling energy use in households and office spaces  

Science Conference Proceedings (OSTI)

Energy consumption is largely studied in the context of different environments, such as domestic, corporate, industrial, and public sectors. In this paper, we discuss two environments, households and office spaces, where people have an especially ...

Salman Taherian; Marcelo Pias; George Coulouris; Jon Crowcroft

2010-04-01T23:59:59.000Z

410

Household Preferences for Supporting Renewable Energy, and Barriers...  

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

Household Preferences for Supporting Renewable Energy, and Barriers to Green Power Demand Speaker(s): Ryan Wiser Date: May 9, 2002 - 12:00pm Location: Bldg. 90 Nearly 40% of the...

411

Energy Consumption of Refrigerators in Ghana - Outcomes of Household...  

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

Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of...

412

Smoothing consumption across households and time : essays in development economics  

E-Print Network (OSTI)

This thesis studies two strategies that households may use to keep their consumption smooth in the face of fluctuations in income and expenses: credit (borrowing and savings) and insurance (state contingent transfers between ...

Kinnan, Cynthia Georgia

2010-01-01T23:59:59.000Z

413

A Theoretical Basis for Household Energy Conservation UsingProduct...  

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

A Theoretical Basis for Household Energy Conservation Using Product-Integrated Feedback Speaker(s): Teddy McCalley Date: October 11, 2002 - 12:00pm Location: Bldg. 90 Seminar Host...

414

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005  

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

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total........................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Cooling Equipment.......................... 17.8 5.4 5.3 2.7 2.5 2.0 Have Cooling Equipment...................................... 93.3 24.6 29.6 15.7 13.4 10.0 Use Cooling Equipment....................................... 91.4 24.0 29.1 15.5 13.2 9.7 Have Equipment But Do Not Use it...................... 1.9 0.6 0.5 Q 0.2 0.4 Type of Air-Conditioning Equipment 1, 2 Central System................................................... 65.9 15.3 22.6 10.7 9.9 7.3 Without a Heat Pump....................................... 53.5 12.5 17.9 8.7 8.2 6.3 With a Heat Pump............................................ 12.3

415

Measuring the energy efficiency of households: an application of frontier production function analysis  

SciTech Connect

A new method to estimate the energy efficiency of households is presented. Households are viewed as productive units organized to provide the occupants with numerous services requiring fuel as an input: house heating to achieve a desired interior temperature, lighting for recreation, etc. The focus is on the efficiency of energy use, not the demand for energy. The approach to measuring efficiency compares a group of productive units along several dimensions of input resources and service outputs. The comparison identifies a subset of units that are considered efficient because they require the least resources per unit of service provided. The efficient units form a production possibility frontier of best practice in service provision. A regression of the two sets of efficiency scores on other variables reflecting locational, dwelling unit, and occupational characteristics is performed to identify factors accounting for differences in efficiency. The results indicate that the more efficient units used electric heat, had higher ratios of non-electric to electric fuel inputs, were owner-occupied, and were built after 1974. The findings also suggest that both family life cycle and income effects account for efficiency differences.

Baxter, L.W.

1984-01-01T23:59:59.000Z

416

Household waste disposal in Mekelle city, Northern Ethiopia  

SciTech Connect

In many cities of developing countries, such as Mekelle (Ethiopia), waste management is poor and solid wastes are dumped along roadsides and into open areas, endangering health and attracting vermin. The effects of demographic factors, economic and social status, waste and environmental attributes on household solid waste disposal are investigated using data from household survey. Household level data are then analyzed using multinomial logit estimation to determine the factors that affect household waste disposal decision making. Results show that demographic features such as age, education and household size have an insignificant impact over the choice of alternative waste disposal means, whereas the supply of waste facilities significantly affects waste disposal choice. Inadequate supply of waste containers and longer distance to these containers increase the probability of waste dumping in open areas and roadsides relative to the use of communal containers. Higher household income decreases the probability of using open areas and roadsides as waste destinations relative to communal containers. Measures to make the process of waste disposal less costly and ensuring well functioning institutional waste management would improve proper waste disposal.

Tadesse, Tewodros [Agricultural Economics and Rural Policy Group, Wageningen University, Hollandseweg 1 6706 KN Wageningen (Netherlands)], E-mail: tewodroslog@yahoo.com; Ruijs, Arjan [Environmental Economics and Natural Resources Group, Wageningen University, P.O. Box 8130, 6700 EW Wageningen (Netherlands); Hagos, Fitsum [International Water Management Institute (IWMI), Subregional Office for the Nile Basin and East Africa, P.O. Box 5689, Addis Ababa (Ethiopia)

2008-07-01T23:59:59.000Z

417

Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

SciTech Connect

A survey was conducted to determine occupant use of windows and mechanical ventilation devices; barriers that inhibit their use; satisfaction with indoor air quality (IAQ); and the relationship between these factors. A questionnaire was mailed to a stratified random sample of 4,972 single-family detached homes built in 2003, and 1,448 responses were received. A convenience sample of 230 houses known to have mechanical ventilation systems resulted in another 67 completed interviews. Some results are: (1) Many houses are under-ventilated: depending on season, only 10-50% of houses meet the standard recommendation of 0.35 air changes per hour. (2) Local exhaust fans are under-utilized. For instance, about 30% of households rarely or never use their bathroom fan. (3) More than 95% of households report that indoor air quality is ''very'' or ''somewhat'' acceptable, although about 1/3 of households also report dustiness, dry air, or stagnant or humid air. (4) Except households where people cook several hours per week, there is no evidence that households with significant indoor pollutant sources get more ventilation. (5) Except households containing asthmatics, there is no evidence that health issues motivate ventilation behavior. (6) Security and energy saving are the two main reasons people close windows or keep them closed.

Price, Phillip N.; Sherman, Max H.

2006-02-01T23:59:59.000Z

418

Source separation of household waste: A case study in China  

SciTech Connect

A pilot program concerning source separation of household waste was launched in Hangzhou, capital city of Zhejiang province, China. Detailed investigations on the composition and properties of household waste in the experimental communities revealed that high water content and high percentage of food waste are the main limiting factors in the recovery of recyclables, especially paper from household waste, and the main contributors to the high cost and low efficiency of waste disposal. On the basis of the investigation, a novel source separation method, according to which household waste was classified as food waste, dry waste and harmful waste, was proposed and performed in four selected communities. In addition, a corresponding household waste management system that involves all stakeholders, a recovery system and a mechanical dehydration system for food waste were constituted to promote source separation activity. Performances and the questionnaire survey results showed that the active support and investment of a real estate company and a community residential committee play important roles in enhancing public participation and awareness of the importance of waste source separation. In comparison with the conventional mixed collection and transportation system of household waste, the established source separation and management system is cost-effective. It could be extended to the entire city and used by other cities in China as a source of reference.

Zhuang Ying; Wu Songwei; Wang Yunlong [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China); Wu Weixiang [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)], E-mail: weixiang@zju.edu.cn; Chen Yingxu [Department of Environmental Engineering, Zhejiang University, Hangzhou 310029 (China)

2008-07-01T23:59:59.000Z

419

Transferring 2001 National Household Travel Survey  

Science Conference Proceedings (OSTI)

Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL; Schmoyer, Richard L [ORNL; Chin, Shih-Miao [ORNL

2007-05-01T23:59:59.000Z

420

Deep cuts in household greenhouse gas emissions Andrew Blakers  

E-Print Network (OSTI)

an electric light bulb with a power of 100 W for 10 hours then 1,000 watt-hours, or 1 kilowatt hour (k simple measure! 2. Incandescent light bulbs will be phased out over the next few years, but if you do frequently used incandescent light fittings with compact fluorescent lights will reduce your lighting bill

Note: This page contains sample records for the topic "household heating bills" 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

Application Study of a Single House Horizontal Heating System  

E-Print Network (OSTI)

It is imperative to get new heating systems into the market and implement rate structures with heat meters for the purpose of energy conservation and environmental protection. Based on analysis of current heating technology, this paper analyzes the different forms of heating systems suited for single household metering. We introduce especially the single house horizontal spanning system and show how to select the heat flow rate of the radiator. We also study the distribution rule of the heat intermedium of horizontal heating system. To simplify the workload of engineering process and make the design more accurate, a new method for calculating the average temperature of the intermedium and the heat flow rate of this heating system is put forward. Comparison is also made between the system in question and the heating system in series. A few important questions are raised and discussed, such as the computation of combining different forms of radiators, the verification of the pipe radiation, the end of the radiator without spanning pipe, and the selection of the pipe diameter. At the same time, we study the influence of the horizontal heating system on the whole heating network, describe the characteristics of a single household horizontal heating system and the importance of its hydraulic computation, and analyze the influence of the gravitational head to this heating system. We also study the hydraulic condition of the single house horizontal system and the relationship of each party under the adjustment. In addition, the operation of single household horizontal heating system is verified in a real project, and its reliability is testified. This paper provides a method for further research on related issues of a single household metering heating system and is valuable for design, operation and management.

Hang, Y.; Ying, D.

2006-01-01T23:59:59.000Z

422

Towards Occupancy-Driven Heating and Cooling  

E-Print Network (OSTI)

$100­$200 per home in hardware, and less than $0.10 per square foot in office buildings. It will also a 28% reduction per household in the energy required for heating and cooling, at the cost of only $25. This energy savings is a low hanging fruit: a large amount of energy can be saved at a very low cost

Whitehouse, Kamin

423

Oil drilling to use LSU process Show Caption BILL FEIG/THE ADVOCATE  

E-Print Network (OSTI)

BUSINESS Oil drilling to use LSU process Show Caption BILL FEIG/THE ADVOCATE Advocate staff process to make wood-plastic composites has found a new application in the oil and gas business to turn used plastic motor oil containers and wood waste into a strong composite material that can be used

424

GREEDY HEURISTICS FOR DETERMINING A PRODUCT FAMILY BILL OF Radwan El Hadj Khalaf  

E-Print Network (OSTI)

explore this production policy where modules are manufactured in distant location facilities for cost in selecting a set of modules that will be manufactured in distant facilities and shipped in a nearby location on exploring the finished product set and determining the most suitable bill of materials for each one and (2

Paris-Sud XI, Université de

425

NRRI's Bill Berguson promotes fast-growing trees as part of America's new energy future.  

E-Print Network (OSTI)

to increase energy independence with new biorefinery industries and sustainable new crops. A study undertaken Commission with representatives from the union, paper industry, legislature, University, energy company andNRRI's Bill Berguson promotes fast-growing trees as part of America's new energy future. Winter

Netoff, Theoden

426

Delivering Energy Efficiency to Middle Income Single Family Households  

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

Delivering Energy Efficiency to Middle Income Single Family Households Delivering Energy Efficiency to Middle Income Single Family Households Title Delivering Energy Efficiency to Middle Income Single Family Households Publication Type Report Year of Publication 2011 Authors Zimring, Mark, Merrian Borgeson, Ian M. Hoffman, Charles A. Goldman, Elizabeth Stuart, Annika Todd, and Megan A. Billingsley Pagination 102 Date Published 12/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract The question posed in this report is: How can programs motivate these middle income single family households to seek out more comprehensive energy upgrades, and empower them to do so? Research methods included interviews with more than 35 program administrators, policy makers, researchers, and other experts; case studies of programs, based on interviews with staff and a review of program materials and data; and analysis of relevant data sources and existing research on demographics, the financial status of Americans, and the characteristics of middle income American households. While there is no 'silver bullet' to help these households overcome the range of barriers they face, this report describes outreach strategies, innovative program designs, and financing tools that show promise in increasing the attractiveness and accessibility of energy efficiency for this group. These strategies and tools should be seen as models that are currently being honed to build our knowledge and capacity to deliver energy improvements to middle income households. However, the strategies described in this report are probably not sufficient, in the absence of robust policy frameworks, to deliver these improvements at scale. Instead, these strategies must be paired with enabling and complementary policies to reach their full potential.

427

Household solid waste characteristics and management in Chittagong, Bangladesh  

Science Conference Proceedings (OSTI)

Solid waste management (SWM) is a multidimensional challenge faced by urban authorities, especially in developing countries like Bangladesh. We investigated per capita waste generation by residents, its composition, and the households' attitudes towards waste management at Rahman Nagar Residential Area, Chittagong, Bangladesh. The study involved a structured questionnaire and encompassed 75 households from five different socioeconomic groups (SEGs): low (LSEG), lower middle (LMSEG), middle (MSEG), upper middle (UMSEG) and high (HSEG). Wastes, collected from all of the groups of households, were segregated and weighed. Waste generation was 1.3 kg/household/day and 0.25 kg/person/day. Household solid waste (HSW) was comprised of nine categories of wastes with vegetable/food waste being the largest component (62%). Vegetable/food waste generation increased from the HSEG (47%) to the LSEG (88%). By weight, 66% of the waste was compostable in nature. The generation of HSW was positively correlated with family size (r{sub xy} = 0.236, p management initiative. Of the respondents, an impressive 44% were willing to pay US$0.3 to US$0.4 per month to waste collectors and it is recommended that service charge be based on the volume of waste generated by households. Almost a quarter (22.7%) of the respondents preferred 12-1 pm as the time period for their waste to be collected. This study adequately shows that household solid waste can be converted from burden to resource through segregation at the source, since people are aware of their role in this direction provided a mechanism to assist them in this pursuit exists and the burden is distributed according to the amount of waste generated.

Sujauddin, Mohammad [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh)], E-mail: mohammad.sujauddin@gmail.com; Huda, S.M.S. [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Hoque, A.T.M. Rafiqul [Institute of Forestry and Environmental Sciences, Chittagong University, Chittagong-4331 (Bangladesh); Laboratory of Ecology and Systematics (Plant Ecophysiology Section), Faculty of Science, Biology Division, University of the Ryukyus, Okinawa 903-0213 (Japan)

2008-07-01T23:59:59.000Z

428

Consumer Winter Heating Oil Costs  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Using the Northeast as a regional focus for heating oil, the typical oil-heated household consumes about 680 gallons of oil during the winter, assuming that weather is "normal." The previous three winters were warmer than average and generated below normal consumption rates. Last winter, consumers saw large increases over the very low heating oil prices seen during the winter of 1998-1999 but, outside of the cold period in late January/early February they saw relatively low consumption rates due to generally warm weather. Even without particularly sharp cold weather events this winter, we think consumers are likely to see higher average heating oil prices than were seen last winter. If weather is normal, our projections imply New England heating oil

429

Table HC9.4 Space Heating Characteristics by Climate Zone, 2005  

Annual Energy Outlook 2012 (EIA)

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

430

"Table HC9.5 Space Heating Usage Indicators by Climate Zone...  

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

areas, determined according to the 30-year average (1971-2000) of the annual heating and cooling degree-days. A household is assigned to a climate zone according to the 30-year...

431

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

U.S. Energy Information Administration (EIA)

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

432

Heat pipe array heat exchanger  

DOE Patents (OSTI)

A heat pipe arrangement for exchanging heat between two different temperature fluids. The heat pipe arrangement is in a ounterflow relationship to increase the efficiency of the coupling of the heat from a heat source to a heat sink.

Reimann, Robert C. (Lafayette, NY)

1987-08-25T23:59:59.000Z

433

Water Related Energy Use in Households and Cities - an Australian  

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

Water Related Energy Use in Households and Cities - an Australian Water Related Energy Use in Households and Cities - an Australian Perspective Speaker(s): Steven Kenway Date: May 12, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Anita Estner James McMahon This presentation covers the content of recent journal papers and reports focused on the water-energy nexus and the related theory of urban metabolism. This includes (i) a review of the water-energy nexus focused on cities (ii) quantifying water-related energy in cities (iii) modeling household water-related energy use including key factors, sensitivity and uncertainty analysis, and (iv) relevance and implications of the urban metabolism theoretical framework. Steven's work focuses on understanding the indirect connections between urban water management, energy use and

434

EIA - Gasoline and Diesel Fuel report: Household Vehicles Energy  

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

1 1 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued after EIA's 1994 survey. Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. This report, Household Vehicles Energy Consumption 1991, is based on data from the 1991 Residential Transportation Energy Consumption Survey (RTECS). Focusing on vehicle miles traveled (VMT) and energy enduse consumption and expenditures by households for personal transportation, the 1991 RTECS is

435

Energy Consumption of Refrigerators in Ghana - Outcomes of Household  

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

Energy Consumption of Refrigerators in Ghana - Outcomes of Household Energy Consumption of Refrigerators in Ghana - Outcomes of Household Surveys Speaker(s): Essel Ben Hagan Date: July 12, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Robert Van Buskirk Galen Barbose As part of activities to develop refrigerator efficiency standards regulations in Ghana, a national survey on the energy consumption of refrigerators and refrigerator-freezers has been conducted. The survey covered 1000 households in urban, peri-urban and rural communities in various parts of the country. The survey found that, on average, refrigerators and refrigerator-freezers in Ghana use almost three times what is allowed by minimum efficiency standards in the U.S., and a few refrigerators had energy use at levels almost ten times the U.S.

436

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

437

The welfare effects of raising household energy prices in Poland  

Science Conference Proceedings (OSTI)

We examine the welfare effects from increasing household energy prices in Poland. Subsidizing household energy prices, common in the transition economies, is shown to be highly regressive. The wealthy spend a larger portion of their income on energy and consume more energy in absolute terms. We therefore rule out the oft-used social welfare argument for delaying household energy price increases. Raising prices, while targeting relief to the poor through a social assistance program is the first-best response. However, if governments want to ease the adjustment, several options are open, including: in-kind transfers to the poor, vouchers, in-cash transfers, and lifeline pricing for electricity. Our simulations show that if raising prices to efficient levels is not politically feasible at present and social assistance targeting is sufficiently weak, it may be socially better to use lifeline pricing and a large price increase than an overall, but smaller, price increase.

Freund, C.L. [Columbia Univ., New York, NY (United States); Wallich, C.I. [World Bank, Washington, DC (United States)

1996-06-01T23:59:59.000Z

438

Modeling patterns of hot water use in households  

Science Conference Proceedings (OSTI)

This report presents a detailed model of hot water use patterns in individual household. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies. 21 refs., 3 figs., 10 tabs.

Lutz, J.D.; Liu, Xiaomin; McMahon, J.E. [and others

1996-11-01T23:59:59.000Z

439

Modeling patterns of hot water use in households  

SciTech Connect

This report presents a detailed model of hot water use patterns in individual households. The model improves upon an existing model by including the effects of four conditions that were previously unaccounted for: the absence of a clothes washer; the absence of a dishwasher; a household consisting of seniors only; and a household that does not pay for its own hot water use. Although these four conditions can significantly affect residential hot water use, and have been noted in other studies, this is the first time that they have been incorporated into a detailed model. This model allows detailed evaluation of the impact of potential efficiency standards for water heaters and other market transformation policies.

Lutz, James D.; Liu, Xiaomin; McMahon, James E.; Dunham, Camilla; Shown, Leslie J.; McCure, Quandra T.

1996-01-01T23:59:59.000Z

440

Table 2. Percent of Households with Vehicles, Selected Survey Years  

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

Percent of Households with Vehicles, Selected Survey Years " Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08566108 "Household Characteristics" "Census Region and Division" " Northeast",77.22222222,"NA",79.16666667,82.9015544,75.38461538,85.09615385 " New England",88.37209302,"NA",81.81818182,82.9787234,82,88.52459016 " Middle Atlantic ",73.72262774,"NA",78.37837838,82.31292517,74.30555556,83.67346939 " Midwest ",85.51401869,"NA",90.66666667,90.17094017,92.30769231,91.47286822 " East North Central",82,"NA",88.81987578,89.88095238,91.51515152,90.55555556

Note: This page contains sample records for the topic "household heating bills" 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

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

442

Energy 101: Geothermal Heat Pumps | Department of Energy  

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

Energy 101: Geothermal Heat Pumps Energy 101: Geothermal Heat Pumps Energy 101: Geothermal Heat Pumps January 4, 2011 - 12:15pm Addthis An energy-efficient heating and cooling alternative, the geothermal heat pump system moves heat from the ground to a building (or from a building to the ground) through a series of flexible pipe "loops" containing water. This edition of Energy 101 explores the benefits Geothermal and the science behind how it all comes together. John Schueler John Schueler Former New Media Specialist, Office of Public Affairs Quick Facts Heat pump systems can lower energy bills by up to 70% over traditional types of heating systems. During this time of year, many homeowners are searching for ways to reduce steep heating costs. One of the options they should consider during the

443

Energy 101: Geothermal Heat Pumps | Department of Energy  

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

Energy 101: Geothermal Heat Pumps Energy 101: Geothermal Heat Pumps Energy 101: Geothermal Heat Pumps January 4, 2011 - 12:15pm Addthis An energy-efficient heating and cooling alternative, the geothermal heat pump system moves heat from the ground to a building (or from a building to the ground) through a series of flexible pipe "loops" containing water. This edition of Energy 101 explores the benefits Geothermal and the science behind how it all comes together. John Schueler John Schueler Former New Media Specialist, Office of Public Affairs Quick Facts Heat pump systems can lower energy bills by up to 70% over traditional types of heating systems. During this time of year, many homeowners are searching for ways to reduce steep heating costs. One of the options they should consider during the

444

New York Household Travel Patterns: A Comparison Analysis  

SciTech Connect

In 1969, the U. S. Department of Transportation began collecting detailed data on personal travel to address various transportation planning issues. These issues range from assessing transportation investment programs to developing new technologies to alleviate congestion. This 1969 survey was the birth of the Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. In 2001, the survey was renamed to the National Household Travel Survey (NHTS) and collected both daily and longer-distance trips in one survey. In addition to the number of sample households that the national NPTS/NHTS survey allotted to New York State (NYS), the state procured an additional sample of households in both the 1995 and 2001 surveys. In the 1995 survey, NYS procured an addition sample of more than 9,000 households, increasing the final NY NPTS sample size to a total of 11,004 households. Again in 2001, NYS procured 12,000 additional sample households, increasing the final New York NHTS sample size to a total of 13,423 households with usable data. These additional sample households allowed NYS to address transportation planning issues pertinent to geographic areas significantly smaller than for what the national NPTS and NHTS data are intended. Specifically, these larger sample sizes enable detailed analysis of twelve individual Metropolitan Planning Organizations (MPOs). Furthermore, they allowed NYS to address trends in travel behavior over time. In this report, travel data for the entire NYS were compared to those of the rest of the country with respect to personal travel behavior and key travel determinants. The influence of New York City (NYC) data on the comparisons of the state of New York to the rest of the country was also examined. Moreover, the analysis examined the relationship between population density and travel patterns, and the similarities and differences among New York MPOs. The 1995 and 2001 survey data make it possible to examine and identify travel trends over time. This report does not address, however, the causes of the differences and/or trends.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

2007-05-01T23:59:59.000Z

445

A Glance at China’s Household Consumption  

SciTech Connect

Known for its scale, China is the most populous country with the world’s third largest economy. In the context of rising living standards, a relatively lower share of household consumption in its GDP, a strong domestic market and globalization, China is witnessing an unavoidable increase in household consumption, related energy consumption and carbon emissions. Chinese policy decision makers and researchers are well aware of these challenges and keen to promote green lifestyles. China has developed a series of energy policies and programs, and launched a wide?range social marketing activities to promote energy conservation.

Shui, Bin

2009-10-22T23:59:59.000Z

446

Thermo economic comparison of conventional micro combined heat and power systems with  

E-Print Network (OSTI)

heat and power systems (CHP) on this scale is called micro CHP (mCHP). First, the energy consumption-family household. The SOFC-mCHP system provides electricity as well as hot water for use and space heating heating located in larger cities. Secondly, there are CHP systems used in a decentralized form

Liso, Vincenzo

447

Using heat demand prediction to optimise Virtual Power Plant production capacity  

E-Print Network (OSTI)

CHP appliances on the grid in the near future. In case of a microCHP, adding a heat buffer (hot water tank1 Using heat demand prediction to optimise Virtual Power Plant production capacity Vincent Bakker that generate electricity (and heat) at the kilowatt level, which allows them to be installed in households

Al Hanbali, Ahmad

448

Numerical simulation of fluid flow and heat transfer in a water heater  

Science Conference Proceedings (OSTI)

Energy consumption represents a major concern, considering the limited resources and latest targets for lower emissions of carbon dioxide. Therefore design of electric heating elements for household and industry are more and more subject to optimization, ... Keywords: electric heating, finite elements, fluid flow, heat transfer

Mircea Nicoar?; Aurel R?du??; Lauren?iu Roland Cucuruz; Cosmin Locovei

2010-04-01T23:59:59.000Z

449

Bill Klemm Y-12 National Security Complex July 10 2012 SB Summit.pdf  

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

BILL KLEMM BILL KLEMM SR. VP AND DEPUTY GENERAL MANAGER Y-12 NATIONAL SECURITY COMPLEX Y-12's Missions * Deterrence-produce, maintain and protect essential materials and components for U.S. nuclear arsenal * Naval Reactors-provide highly-enriched uranium for naval fuel * Nuclear Nonproliferation-reduce the threat of terrorism Y-12 Today * FY2011 spending - approximately $1 billion * Approx. 8,000 employees (including 4,600 B&W Y-12, 540 WSI, 80 federal staff and 2,350 subcontractors) * 66% of business partners are small businesses * >$1.5 billion subcontracted to small businesses since 2001 Mentor Protégé, $12.9M Large Business, $181.4M Other Small Business, $154.2M Small Business, 77,463 Large Business, 11,769 Procurement Activity - FY2011 Subcontract Awards

450

Outpatient physician billing data for age and setting specific syndromic surveillance of influenza-like illnesses  

Science Conference Proceedings (OSTI)

Syndromic surveillance is a novel automated approach to monitoring influenza activity, but there is no consensus regarding the most informative data sources for use within such a system. By comparing physician billing data from Quebec, Canada and hospital ... Keywords: ACIP, ARIMA, Age factors, Ambulatory care, CCF, CDC, ED, Epidemiology, ICD-9, ILI, Immunization programs, Influenza, Human, Medical Records Systems, Computerized, P&I, Population surveillance, RAMQ, RSV, Seasons, Syndrome

Emily H. Chan; Robyn Tamblyn; Katia M. L. Charland; David L. Buckeridge

2011-04-01T23:59:59.000Z

451

Summary Impacts of Modeled Provisions of the 2003 Conference Energy Bill  

Reports and Publications (EIA)

This service report was undertaken at the February 2, 2004, request of Senator John Sununu to perform an assessment of the Conference Energy Bill of 2003. This report summarizes the CEB provisions that can be analyzed using the National Energy Modeling System (NEMS) and have the potential to affect energy consumption, supply, and prices. The impacts are estimated by comparing the projections with the CEB provisions to the AEO2004 Reference Case.

Andy Kydes

2004-02-01T23:59:59.000Z

452

Department of Energy Provides Nearly $88 Million to Low-Income...  

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

spend 5 percent of their income on paying energy bills, but for lower-income households the costs average 16 percent. These costs can include anything from heating and...

453

Department of Energy Provides Nearly $112 Million to Low-Income...  

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

spend five percent of their income on paying energy bills, but for lower-income households the costs average 16 percent. These costs can include anything from heating and...

454

Energy Department Provides $140.3 Million to Low-Income Families...  

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

spend 3.5 percent of their income on paying energy bills, but for lower-income households the costs average 14 percent. These costs can include anything from heating and...

455

Racial and demographic differences in household travel and fuel purchase behavior  

Science Conference Proceedings (OSTI)

Monthly fuel purchase logs from the Residential Energy Consumption Survey's Household Transportation Panel (TP) were analyzed to determine the relationship between various household characteristics and purchase frequency, tank inventories, vehicle-miles traveled, and fuel expenditures. Multiple classification analysis (MCA) was used to relate observed differences in dependent variables to such index-type household characteristics as income and residence location, and sex, race and age of household head. Because it isolates the net effect of each parameter, after accounting for the effects of all other parameters, MCA is particularly appropriate for this type of analysis. Results reveal clear differences in travel and fuel purchase behavior for four distinct groups of vehicle-owning households. Black households tend to own far fewer vehicles with lower fuel economy, to use them more intensively, to purchase fuel more frequently, and to maintain lower fuel inventories than white households. Similarly, poor households own fewer vehicles with lower fuel economy, but they drive them less intensively, purchase fuel more frequently, and maintain lower fuel inventories than nonpoor households. Elderly households also own fewer vehicles with lower fuel economy. But since they drive them much less intensively, their fuel purchases are much less frequent and their fuel inventories are higher than nonelderly households. Female-headed households also own fewer vehicles but with somewhat higher fuel economy. They drive them less intensively, maintain higher fuel inventories, and purchase fuel less frequently than male-headed households. 13 refs., 8 tabs.

Gur, Y.; Millar, M.

1987-01-01T23:59:59.000Z

456

Arkansan Worker Cuts Bills After Auto Job Layoff | Department of Energy  

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

Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff November 24, 2009 - 3:34pm Addthis Joshua DeLung The wind used to howl around the doors and through the attic of Thomas Lee's house. It's an older brick home with poor insulation located just outside the city limits of Tyronza, Ark. The furnace never seemed to kick off in the winter, and keeping his family warm was a constant battle, Thomas says, one that cost him close to $100 extra each month in the winter. Thomas is 51 years old and lives with his wife and two teenage sons. When his two-bedroom home was weatherized in August, the 15-year U.S. Navy veteran experienced the effects of the Recovery Act first-hand when he could really use it. After his 13-year auto manufacturing job, where he was most recently a

457

Arkansan Worker Cuts Bills After Auto Job Layoff | Department of Energy  

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

Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff Arkansan Worker Cuts Bills After Auto Job Layoff November 24, 2009 - 3:34pm Addthis Joshua DeLung The wind used to howl around the doors and through the attic of Thomas Lee's house. It's an older brick home with poor insulation located just outside the city limits of Tyronza, Ark. The furnace never seemed to kick off in the winter, and keeping his family warm was a constant battle, Thomas says, one that cost him close to $100 extra each month in the winter. Thomas is 51 years old and lives with his wife and two teenage sons. When his two-bedroom home was weatherized in August, the 15-year U.S. Navy veteran experienced the effects of the Recovery Act first-hand when he could really use it. After his 13-year auto manufacturing job, where he was most recently a

458

Design and Implementation of an Enhanced Power Billing System for Electricity Consumers in Nigeria  

E-Print Network (OSTI)

In Nigeria, electricity consumers are often faced with the problems of inaccurate, irrational and delay in monthly billing due to the drawback in reading pattern and human errors. Thus, it is essential to have an efficient and effective system for such purposes via electronic platform with consideration to proximity. This paper presents the design and functional significance of a web-based application with online capability called Power Billing System (PBS). PBS is a solution system developed with Microsoft Visual Web Development IDE; being an Object Oriented Design tool from Microsoft Visual Studio.net collection and Microsoft Access with SQL query for back-end database. It measures accurately the electric power consumed by residential or commercial buildings which is more economical compared to the electromechanical devices. Individual consumer and the utility companies can directly monitor and control electric power supply billing without engaging the services of meter readers. It displays the sale rate of electrical power per unit and the consumed power per minute. It provides environment to maintain the consumer details right from connection and performance information to the management. It is an Intranet and Internet based software solution that ensures timely

Adegboye Adegboyega; Ayeni A. Gabriel; Alawode J. Ademola; Azeta I. Victor; Kaduna Nigeri

2013-01-01T23:59:59.000Z

459

EvoNILM: evolutionary appliance detection for miscellaneous household appliances  

Science Conference Proceedings (OSTI)

To improve the energy awareness of consumers, it is necessary to provide them with information about their energy demand, not just on the household level. Non-intrusive load monitoring (NILM) gives the consumer the opportunity to disaggregate their consumed ... Keywords: evolutionary algorithm, load disaggregation, non-intrusive load monitoring

Dominik Egarter; Wilfried Elmenreich

2013-07-01T23:59:59.000Z

460

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

E-Print Network (OSTI)

Practices in State Net Metering Policies and InterconnectionThe Economic Cost of Net Metering in Maryland: Who Bears theImpact of Rate Design and Net Metering on the Bill Savings

Darghouth, Naim R.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household heating bills" 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

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

E-Print Network (OSTI)

Practices in State Net Metering Policies and InterconnectionThe Economic Cost of Net Metering in Maryland: Who Bears theof Rate Design and Net Metering on the Bill Savings from

Darghouth, Naim R.

2012-01-01T23:59:59.000Z

462

Fuelwood Use by Rural Households in the Brazilian Atlantic Forest  

E-Print Network (OSTI)

Fuelwood is an important source of domestic energy in rural regions of Brazil. In the Zona da Mata of Minas Gerais, native species from the Atlantic Forest are an important source of fuelwood, supplemented by wood from eucalyptus and coffee plantations. The use of native species is complicated by their increasing scarcity and the recent enforcement of forest policies that prohibit the felling of even dead natives trees without a permit. In this study, the factors contributing to the use of fuelwood in this region, despite the simultaneous use of liquid petroleum gas in most households, are explored by examining fuelwood use patterns in four small rural communities in the Zona da Mata Mineira using household surveys and semi-structured interviews. Two hypotheses were tested using a Jacknife regression. The first hypothesis, based on the energy ladder model, tested the predictive power of socioeconomic status in relation to fuelwood use. Two dependent variables were used to represent the importance of fuelwood to a household: the amount of time a household spent collecting fuelwood (Effort) and the number of purposes a household used fuelwood for (Class of Fuelwood Use). Socioeconomic status did explain a statistically significant percentage of the variance in Effort, but not in Class of Fuelwood Use. The second hypothesis tested for a moderating effect of the availability of fuelwood on the relationship between the socioeconomic status of a household and the dependent variables. The interaction between access to fuelwood and socioeconomic status was shown to explain a significant percentage of the variance in Effort, thereby indicating that the effect of socioeconomic status on time spent collecting fuelwood depends on access to fuelwood. However, there was no statistically significant interaction found between Class of Fuelwood Use and fuelwood availability. The Atlantic Forest Policy was found to have little influence on domestic energy decisions made by surveyed households. Few research subjects had a good understanding of the basic tenets of this policy and the Forest Police do not have adequate resources to enforce the policy at this level.

Wilcox-Moore, Kellie J.

2010-05-01T23:59:59.000Z

463

Using unlabeled Wi-Fi scan data to discover occupancy patterns of private households  

Science Conference Proceedings (OSTI)

This poster presents the homeset algorithm, a lightweight approach to estimate occupancy schedules of private households. The algorithm relies on the mobile phones of households' occupants to collect Wi-Fi scans. The scans are then used to determine ...

Wilhelm Kleiminger, Christian Beckel, Anind Dey, Silvia Santini

2013-11-01T23:59:59.000Z

464

California’s Immigrant Households and Public-Assistance Participation in the 1990s - Policy Brief  

E-Print Network (OSTI)

with Dependent Children (AFDC)/California Work Opportunitystate households participating in AFDC/ CalWORKs pro- grams.of noncitizen households received AFDC, compared to 4.5% of

2002-01-01T23:59:59.000Z

465

Table 1. Total Energy Consumption in U.S. Households by Origin ...  

U.S. Energy Information Administration (EIA)

Wood (million cords) ..... 21.4 19.8 0.8 0.6 0.3 19.3 Million Btu per Household3 Total Btu Consumption per Household, Fuels Used: Electricity Primary ...

466

An Analysis of the Price Elasticity of Demand for Household Appliances  

E-Print Network (OSTI)

Customers’ Choice of Appliance Efficiency Level: CombiningThe Effect of Income on Appliances in U.S. Households. U.S.Household’s Choice of Appliance Efficiency Level. Review of

Dale, Larry

2008-01-01T23:59:59.000Z

467

Sand Mountain Electric Cooperative - Residential Heat Pump Loan Program |  

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

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

468

Household Vehicles Energy Use: Latest Data and Trends - Table A04  

U.S. Energy Information Administration (EIA)

... Buildings & Industry > Transportation Surveys > Household Vehicles Energy ... U.S. Vehicles by Model ... Office of Coal, Nuclear, Electric, and Alternate ...

469

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

Science Conference Proceedings (OSTI)

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

Not Available

1993-03-02T23:59:59.000Z

470

Geothermal heating for Caliente, Nevada  

DOE Green Energy (OSTI)

Utilization of geothermal resources in the town of Caliente, Nevada (population 600) has been the objective of two grants. The first grant was awarded to Ferg Wallis, part-owner and operator of the Agua Caliente Trailer Park, to assess the potential of hot geothermal water for heating the 53 trailers in his park. The results from test wells indicate sustainable temperatures of 140/sup 0/ to 160/sup 0/F. Three wells were drilled to supply all 53 trailers with domestic hot water heating, 11 trailers with space heating and hot water for the laundry from the geothermal resource. System payback in terms of energy cost-savings is estimated at less than two years. The second grant was awarded to Grover C. Dils Medical Center in Caliente to drill a geothermal well and pipe the hot water through a heat exchanger to preheat air for space heating. This geothermal preheater served to convert the existing forced air electric furnace to a booster system. It is estimated that the hospital will save an average of $5300 in electric bills per year, at the current rate of $.0275/KWH. This represents a payback of approximately two years. Subsequent studies on the geothermal resource base in Caliente and on the economics of district heating indicate that geothermal may represent the most effective supply of energy for Caliente. Two of these studies are included as appendices.

Wallis, F.; Schaper, J.

1981-02-01T23:59:59.000Z

471

Heat pipe heat amplifier  

SciTech Connect

In a heat pipe combination consisting of a common condenser section with evaporator sections at either end, two working fluids of different vapor pressures are employed to effectively form two heat pipe sections within the same cavity to support an amplifier mode of operation.

Arcella, F.G.

1978-08-15T23:59:59.000Z

472

A life cycle approach to the management of household food waste - A Swedish full-scale case study  

Science Conference Proceedings (OSTI)

Research Highlights: > The comparison of three different methods for management of household food waste show that anaerobic digestion provides greater environmental benefits in relation to global warming potential, acidification and ozone depilation compared to incineration and composting of food waste. Use of produced biogas as car fuel provides larger environmental benefits compared to a use of biogas for heat and power production. > The use of produced digestate from the anaerobic digestion as substitution for chemical fertilizer on farmland provides avoidance of environmental burdens in the same ratio as the substitution of fossil fuels with produced biogas. > Sensitivity analyses show that results are highly sensitive to assumptions regarding the environmental burdens connected to heat and energy supposedly substituted by the waste treatment. - Abstract: Environmental impacts from incineration, decentralised composting and centralised anaerobic digestion of solid organic household waste are compared using the EASEWASTE LCA-tool. The comparison is based on a full scale case study in southern Sweden and used input-data related to aspects such as source-separation behaviour, transport distances, etc. are site-specific. Results show that biological treatment methods - both anaerobic and aerobic, result in net avoidance of GHG-emissions, but give a larger contribution both to nutrient enrichment and acidification when compared to incineration. Results are to a high degree dependent on energy substitution and emissions during biological processes. It was seen that if it is assumed that produced biogas substitute electricity based on Danish coal power, this is preferable before use of biogas as car fuel. Use of biogas for Danish electricity substitution was also determined to be more beneficial compared to incineration of organic household waste. This is a result mainly of the use of plastic bags in the incineration alternative (compared to paper bags in the anaerobic) and the use of biofertiliser (digestate) from anaerobic treatment as substitution of chemical fertilisers used in an incineration alternative. Net impact related to GWP from the management chain varies from a contribution of 2.6 kg CO{sub 2}-eq/household and year if incineration is utilised, to an avoidance of 5.6 kg CO{sub 2}-eq/household and year if choosing anaerobic digestion and using produced biogas as car fuel. Impacts are often dependent on processes allocated far from the control of local decision-makers, indicating the importance of a holistic approach and extended collaboration between agents in the waste management chain.

Bernstad, A., E-mail: anna.bernstad@chemeng.lth.se [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden); Cour Jansen, J. la [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden)

2011-08-15T23:59:59.000Z

473

4240 Carson Street, Suite 102 Denver, CO 80239 www.sre3.com SOLAR ELECTRIC SOLAR WATER HEATING ENERGY AUDITS A/C & HEATING INSULATION LIGHTING  

E-Print Network (OSTI)

4240 Carson Street, Suite 102 Denver, CO 80239 www.sre3.com SOLAR ELECTRIC SOLAR WATER HEATING for homeowners, businesses, and government entities that assist them in lowering utility bills, reducing a unique solutions approach based on the RE3 concept, which includes: · Review ­ current energy usage

Colorado at Boulder, University of

474

Bill Vogel  

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

and Vantage Point Ventures. His areas of interest and area of expertise is renewable smart grids, or the unified management of distributed energy resources and demand response...

475

[BILLING CODE]  

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

[6450-01-P] [6450-01-P] DEPARTMENT OF ENERGY 10 CFR Parts 433 [Docket No.: EERE-2011-BT-STD-0055] RIN 1904-AC60 Energy Efficiency Design Standards for New Federal Commercial and Multi-Family High-Rise Residential Buildings (Final Rule) AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy ACTION: Finding of No Significant Impact. SUMMARY: Section 305(a) of the Energy Conservation and Production Act (ECPA) requires that DOE establish by rule Federal building energy efficiency standards for all Federal commercial and multi-family high-rise residential buildings. EPCA requires the U.S. Department of Energy (DOE) to establish by rule revised Federal building energy efficiency performance standards. (42 U.S.C. 6834(a)(3)(A)) The Final Rule updates the

476

Bill Vogel  

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

Vogel Vogel Director of Apparent Inc, Founder of Trilliant Inc. Apparent Inc. and Trilliant Inc. This speaker was a visiting speaker who delivered a talk or talks on the date(s) shown at the links below. This speaker is not otherwise associated with Lawrence Berkeley National Laboratory, unless specifically identified as a Berkeley Lab staff member. In addition to serving on Apparent's board, Mr. William Vogel is a serial entrepreneur in renewables, smart grid and demand response. He was the founder and CEO of Trilliant Inc., a network that integrates real-time distribution networks with smart metering, demand response and customer information management. Trilliant is owned by a consortium of investors of which include ABB, GE, Mission Point Capital and Vantage Point

477

Bill Gray  

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

in the fields of industrial automation, materials development, materials processing, and communications systems. Velkess and its novel technology is the result of 2 years of...

478

Bill Number &  

Science Conference Proceedings (OSTI)

... HR 501, Implementing the Recommendations of the BP Oil Spill Commission Act of 2011 Markey (D-MA) Introduced 1/26/11 ...

2012-10-07T23:59:59.000Z

479

Bill Golove  

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

Golove EETD - Energy Analysis Dept., End-Use Forecasting Group Lawrence Berkeley National Laboratory This speaker was a visiting speaker who delivered a talk or talks on the...

480

Bill Kelly  

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

Lab staff member. This Speaker's Seminars Volatile Energy Costs and the Floundering Deregulation of Electricity: A Fresh Look at Integrating Supply-Side and Demand-Side Resources...

Note: This page contains sample records for the topic "household heating bills" 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

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

E-Print Network (OSTI)

thermal storage (kWh) electricity bill (k$) NG bill (k$)thermal storage (kWh) electricity bill (k$) NG bill (k$)thermal storage (kWh) electricity bill (k$) NG bill (k$)

Stadler, Michael

2009-01-01T23:59:59.000Z

482

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)

483

Radiant Heating  

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

Radiant heating systems involve supplying heat directly to the floor or to panels in the walls or ceiling of a house. The systems depend largely on radiant heat transfer: the delivery of heat...

484

Water Heating Standing Technical Committee Presentation  

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

Standing Technical Committee Standing Technical Committee Water Heating Residential Energy Efficiency Stakeholder's Meeting February 29, 2012 - Austin, Texas 2 STC Chairman Responsibilities * To maintain the Water Heating Strategic Plan (living document) * To work with stakeholders to identify research activities that resolve gaps & barriers towards achieving Water Heating Strategic Goals * To work with stakeholders to prioritize gaps leading to future BA research efforts * To serve as a collection point for BA research activities and outside research * To facilitate collaboration among BA researchers and the marketplace 3 Water Heating as a Significant End Use According to DOE RECS data, residential water heating represents 20% of the energy delivered to U.S. households. 4 Water Heating Strategic Goals

485

Ventilation Behavior and Household Characteristics in New California Houses  

E-Print Network (OSTI)

Pump Heating Gas Wall Heater Electric Wall Heater Wood stovepump Heating, Gas Wall Heater, Electric Wall He ater, Woodheating, sources of organic chemicals (VOCs) such as pressed wood

Price, Phillip N.; Sherman, Max H.

2006-01-01T23:59:59.000Z

486

Household Vehicles Energy Use: Latest Data & Trends  

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

This page left blank. This page left blank. E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices

487

Household Vehicles Energy Use: Latest Data & Trends  

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

B B : E S T I M AT I O N M E T H O D O L O G I E S APPENDIX B A P P E N D I X B ESTIMATION METHODOLOGIES INTRODUCTION The National Household Travel Survey (NHTS) is the nation's inventory of local and long distance travel, according to the U.S. Department of Transportation. Between April 2001 and May 2002, roughly 26 thousand households 41 were interviewed about their travel, based on the use of over 53 thousand vehicles. Using confidential data collected during those interviews, coupled with EIA's retail fuel prices, external data sources of test 42 fuel economy, and internal procedures for modifying test fuel economy to on-road, in-use fuel economy, EIA has extended this inventory to include the energy used for travel, thereby continuing a data series that was discontinued by EIA in 1994. This appendix presents the methods used for each eligible sampled

488

Household Vehicles Energy Use: Latest Data & Trends  

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

E E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices B and C of this report.

489

Summary Impacts of Modeled Provisions of the 2003 Conference Energy Bill  

Gasoline and Diesel Fuel Update (EIA)

2 2 Summary Impacts of Modeled Provisions of the 2003 Conference Energy Bill February 2004 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This Service Report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requestor.