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Note: This page contains sample records for the topic "winter 2003-2004 household" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

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...

2

Sustainability Report: National Renewable Energy Laboratory (NREL) 2003 -- 2004  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory's (NREL) Sustainability Report for 2003-2004 highlights the Laboratory's comprehensive sustainability activities. These efforts demonstrate NREL's progress toward achieving overall sustainability goals. Sustainability is an inherent centerpiece of the Laboratory's work. NREL's mission--to develop renewable energy and energy efficiency technologies and practices and transfer knowledge and innovations to address the nation's energy and environmental goals--is synergistic with sustainability. The Laboratory formalized its sustainability activities in 2000, building on earlier ideas--this report summarizes the status of activities in water use, energy use, new construction, green power, transportation, recycling, environmentally preferable purchasing, greenhouse gas emissions, and environmental management.

Not Available

2004-09-01T23:59:59.000Z

3

Geological Aspects Of The 2003-2004 Eruption Of Anatahan Volcano, Northern  

Open Energy Info (EERE)

Geological Aspects Of The 2003-2004 Eruption Of Anatahan Volcano, Northern Geological Aspects Of The 2003-2004 Eruption Of Anatahan Volcano, Northern Mariana Islands Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Geological Aspects Of The 2003-2004 Eruption Of Anatahan Volcano, Northern Mariana Islands Details Activities (0) Areas (0) Regions (0) Abstract: Anatahan Volcano, Northern Mariana Islands, began erupting in May-June 2003. A series of subplinian explosive eruptions of andesite magma began at the Eastern Crater in the eastern part of the summit caldera on the evening of 10 May. Brown tephra was sent mainly westward by strong winds. Small-scale pyroclastic surges were discharged eastward outside the caldera in late May. An andesite lava dome that had once filled the inner crater was fragmented by phreatomagmatic explosions in the middle of June.

4

Anemometer Data (Wind Speed, Direction) for YKHC-Bethel, AK (2003 - 2004) |  

Open Energy Info (EERE)

YKHC-Bethel, AK (2003 - 2004) YKHC-Bethel, AK (2003 - 2004) Dataset Summary Description Wind data collected from YKHC - Bethel in Alaska from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2003 through 2004, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released November 09th, 2010 (4 years ago) Date Updated November 09th, 2010 (4 years ago) Keywords wind wind direction wind speed

5

Anemometer Data (Wind Speed, Direction) for Pascua Yaqui, AZ (2003 - 2004)  

Open Energy Info (EERE)

Pascua Yaqui, AZ (2003 - 2004) Pascua Yaqui, AZ (2003 - 2004) Dataset Summary Description Wind data collected from Pascua Yaqui Indian Reservation in Arizona from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2003 through 2004, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released December 02nd, 2010 (3 years ago) Date Updated December 02nd, 2010 (3 years ago) Keywords wind

6

Walla Walla River Fish Passage Operations Program, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

In the late 1990s, the Confederated Tribes of the Umatilla Indian Reservation, Oregon Department of Fish and Wildlife, and Washington Department of Fish and Wildlife, along with many other agencies, began implementing fisheries restoration activities in the Walla Walla Basin. An integral part of these efforts is to alleviate the inadequate fish migration conditions in the basin. The migration concerns are being addressed by removing diversion structures, constructing fish passage facilities, implementing minimum instream flow requirements, and providing trap and haul efforts when needed. The objective of the Walla Walla River Fish Passage Operations Project is to increase the survival of migrating adult and juvenile salmonids in the Walla Walla River basin. The project is responsible for coordinating operation and maintenance of ladders, screen sites, bypasses, trap facilities, and transportation equipment. In addition, the project provides technical input on passage criteria and passage and trapping facility design and operation. Operation of the various passage facilities and passage criteria guidelines are outlined in an annual operations plan that the project develops. During the 2003-2004 project year, there were 379 adult summer steelhead (Oncorhynchus mykiss), 36 adult bull trout (Salvelinus confluentus); 108 adult and 3 jack spring chinook (O. tshawytscha) enumerated at the Nursery Bridge Dam fishway video counting window between December 21, 2003, and June 30, 2004. Summer steelhead and spring chinook were observed moving upstream while bull trout were observed moving both upstream and downstream of the facility. In addition, the old ladder trap was operated by the WWBNPME project in order to radio tag spring chinook adults. A total of 2 adult summer steelhead, 4 bull trout, and 23 adult spring chinook were enumerated at the west ladder at Nursery Bridge Dam during the trapping operations between May 6 and May 23, 2004. Operation of the Little Walla Walla River juvenile trap for trap and haul purposes was not necessary this year. The project transported adult spring chinook from Threemile Dam to the South Fork Walla Walla Brood Holding Facility. A total of 239 spring chinook were outplanted in August for natural spawning in the basin.

Bronson, James P. (Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources, Pendleton, OR)

2004-12-01T23:59:59.000Z

7

&ENGINEERING 2003 -2004  

E-Print Network (OSTI)

to control. John K. McIver Professor & Associate VP for Research Ph.D., Rochester Interests: Laser physics: Joe Eddie Leyba,AllisonTafoya,and Leslie Vonderheide Develop, build, and test an educational printed.D., Colorado State John A. Gaudet Research Professor Ph.D.,Air Force Tech University Manuel Martínez-Ramón Post

New Mexico, University of

8

Academic Calendars 2003 2004  

E-Print Network (OSTI)

of petroleum. Bioethanol and biodiesel are two kinds of biofuel. Biomass resources can be converted be developed with cheap waste, such as dairy manure, to produce bioethanol (Liao et al., 2008; Predojevic. Conversion rate of sugar was calculated by the following formula: Conversion rate ð%? ¼ ½S ? 0:9=ðm ? c? ?

Grether, Gregory

9

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...

10

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

11

2003-2004 Undergraduate Catalog 2003-2004 Undergraduate Catalog  

E-Print Network (OSTI)

Economics and Agricultural Business r Agronomy and Horticulture r Animal and Range Sciences r Entomology, Plant Pathology, and Weed Science r Family and Consumer Sciences r Fishery and Wildlife Sciences r Hotel, Restaurant, and Tourism Management q College of Arts and Sciences r General Information r Aerospace Studies r

Castillo, Steven P.

12

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 ...

13

Wintering Bees  

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

Wintering Bees Name: Craig Location: NA Country: NA Date: NA Question: Where do bees live in the winter? Replies: Bees live in the hive in the winter. They form an undulating...

14

Short-Term Energy and Winter Fuels Outlook October 2013  

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

and Winter Fuels Outlook October 2013 1 October 2013 Short-Term Energy and Winter Fuels Outlook (STEO) Highlights EIA projects average U.S. household expenditures for natural...

15

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,

16

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

17

Short-Term Energy and Winter Fuels Outlook October 2013  

Gasoline and Diesel Fuel Update (EIA)

and Winter Fuels Outlook October 2013 1 and Winter Fuels Outlook October 2013 1 October 2013 Short-Term Energy and Winter Fuels Outlook (STEO) Highlights  EIA projects average U.S. household expenditures for natural gas and propane will increase by 13% and 9%, respectively, this winter heating season (October 1 through March 31) compared with last winter. Projected U.S. household expenditures are 2% higher for electricity and 2% lower for heating oil this winter. Although EIA expects average expenditures for households that heat with natural gas will be significantly higher than last winter, spending for gas heat will still be lower than the previous 5-year average (see EIA Short-Term Energy and Winter Fuels Outlook slideshow).  Brent crude oil spot prices fell from a recent peak of $117 per barrel in early September to

18

Winter Distillate  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Throughout the summer, gasoline prices have drawn most of the public's attention, but EIA has been concerned over winter heating fuels as well. q Distillate inventories are likely to begin the winter heating season at low levels, which increases the chances of price volatility such as that seen last winter. q Natural gas does not look much better. q Winter Distillate http://www.eia.doe.gov/pub/oil_gas/petroleum/presentati...00/winter_distillate_and_natural_gas_outlook/sld001.htm [8/10/2000 4:35:57 PM] Slide 2 of 25 Notes: Residential heating oil prices on the East Coast (PADD 1) were 39 cents per gallon higher this June than last year (120 v 81 cents per gallon). As many of you already know, the increase is due mainly to increased crude oil prices.

19

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 ...

20

Martin Winter  

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

Winter Winter Chair for Applied Materials Science for Electrochemical Energy Storage and Conversion (at WWU Münster) Leader, NRW-Competence Centre 'Battery Technology' Scientific Director of the MEET Battery Research CenterInstitute of Physical Chemistry (IPC) at WWU Münster martin.winter@uni-muenster.de 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. Prof. Winter's main research interests are in applied electrochemistry, materials electrochemistry and inorganic chemistry and technology. He has been active in the field of batteries and in particular lithium ion

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Microsoft PowerPoint - 2013-Winter Fuels.pptx  

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

DC www.eia.gov U.S. Energy Information Administration Independent Statistics & Analysis Overview Wi t F l O tl k f h h ld * Winter Fuels Outlook focuses on households. * EIA...

22

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 ...

23

Annual Change Report 2003/2004  

SciTech Connect

As part of continuing compliance, the U.S. Environmental Protection Agency (EPA) requires the U.S. Department of Energy (DOE) to provide any change in information since the most recent compliance application. This requirement is identified in Title 40 Code of Federal Regulations (CFR), Section 194.4(b)(4), which states: No later than six months after the administrator issues a certification, and at least annually thereafter, the Department shall report to the Administrator, in writing, any changes in conditions or activities pertaining to the disposal system that were not required to be reported by paragraph (b)(3) of this section and that differ from information contained in the most recent compliance application. In meeting the requirement, the DOE provides an annual report of all changes applicable under the above requirement each November. This annual report informs the EPA of changes to information in the most recent compliance application, or for this report the 1996 Compliance Certification Application (CCA). Significant planned changes must be reported to the EPA prior to implementation by the DOE. In addition, Title 40 CFR, Section 194.4(b)(3) requires that significant unplanned changes be reported to the EPA within 24 hours or ten days, depending on the severity of the activity or condition. To date, there have been no significant unplanned changes to the certification basis. Planned changes have been submitted on an individual basis. All other changes are reported annually. The period covered by this Annual Change Report includes changes that occurred between July 1, 2003, and June 30, 2004. Changes in activities or conditions are reviewed to determine if 40 CFR Section 194.4(b)(3) reporting is necessary. As indicated above, no significant unplanned changes were identified for the time period covered by this report. The enclosed tables list those items identified for reporting under 40 CFR Section 194.4(b)(4). The majority of the changes described in this report are associated with modifications to written plans and procedures for WIPP operations.

Washington Regulatory and Environmental Services; Washington TRU Solutions LLC

2004-11-10T23:59:59.000Z

24

Tevatron alignment issues 2003-2004  

Science Conference Proceedings (OSTI)

It was observed during the early part of Run II that dipole corrector currents in the Tevatron were changing over time. Measurement of the roll for dipoles and quadrupoles confirmed that there was a slow and systematic movement of the magnets from their ideal position. A simple system using a digital protractor and laptop computer was developed to allow roll measurements of all dipoles and quadrupoles. These measurements showed that many magnets in the Tevatron had rolled more than 1 milliradian. To aid in magnet alignment a new survey network was built in the Tevatron tunnel. This network is based on the use of free centering laser tracker. During the measurement of the network coordinates for all dipole, quadrupole and corrector magnets were obtained. This paper discusses roll measurement techniques and data, the old and new Tevatron alignment network.

Volk, J.T.; Annala, J.; Elementi, L.; Gelfand, N.; Gollwitzer, K.E.; Greenwood, J.; Martens, M.; Moore, Craig D.; Nobrega, A.; Russell, A.D.; Shiltsev, V.; Stefanski, R.; Sager, T.; Syphers, M.J.; Wojcik, G.; /Fermilab

2005-01-01T23:59:59.000Z

25

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

26

winter_97  

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

Diesel" on page 2... Diesel" on page 2... See "News Bytes" on page 12... IN THIS ISSUE Coal-Fueled Diesel ..................... 1 Project News Bytes ..................... 1 Large-Scale CFB ........................ 2 Commercial Report ..................... 3 DOE/Industry Seminars .............. 4 NO x Commercial Successes ........ 5 Solid Fuels/Feedstock Program .. 7 International Initiatives ............... 9 International News Bytes .......... 11 Status Bar Chart ........................ 13 Status of Projects ...................... 14 1998 CCT Conference .............. 16 OFFICE OF FOSSIL ENERGY, U.S. DEPARTMENT OF ENERGY • DOE/FE-0215P-27 ISSUE NO. 27, WINTER 1997 COAL-FUELED DIESEL DEMONSTRATION GIVEN GO-AHEAD FOR ALASKA In August, U.S. Department of Energy (DOE) gave final approval to Arthur D. Little to complete

27

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...

28

Winter Crude Oil and  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: While the relatively low stock forecast (although not as low as last winter) adds some extra pressure to prices, the price of crude oil could be the major factor affecting heating oil prices this winter. The current EIA forecast shows residential prices averaging $1.29 this winter, assuming no volatility. The average retail price is about 7 cents less than last winter, but last winter included the price spike in November 2000, December 2000, and January 2001. Underlying crude oil prices are currently expected to be at or below those seen last winter. WTI averaged over $30 per barrel last winter, and is currently forecast to average about $27.50 per barrel this winter. As those of you who watch the markets know, there is tremendous uncertainty in the amount of crude oil supply that will be available this winter. Less

29

Householders 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

30

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

31

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

32

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...

33

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 servicesdepending on factors such as their load pro ...

34

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.

35

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

36

Winter and Holiday Safety  

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

Source: American Academy of Orthopedic Surgeons HOME HOME HOME HOME Do not drink and decorate. Inspect, properly set up, and position ladders. Use a step stool instead of furniture. Be mindful of rearranged furniture. Minimize clutter. LUGGAGE LUGGAGE LUGGAGE LUGGAGE Pack light. Use proper lifting techniques. Do not rush when lifting or carrying heavy suitcases or packages. Take care when placing luggage in overhead compartments. WINTER SPORTS WINTER SPORTS WINTER SPORTS WINTER SPORTS Warm up muscles. Wear appropriate protective gear. Know and abide by winter sports rules. Keep equipment in good working condition and use properly. If you or someone else experiences hypothermia, immediately seek shelter and medical attention.

37

Winters fuels report  

SciTech Connect

The outlook for distillate fuel oil this winter is for increased demand and a return to normal inventory patterns, assuming a resumption of normal, cooler weather than last winter. With industrial production expected to grow slightly from last winter`s pace, overall consumption is projected to increase 3 percent from last winter, to 3.4 million barrels per day during the heating season (October 1, 1995-March 31, 1996). Much of the supply win come from stock drawdowns and refinery production. Estimates for the winter are from the Energy Information Administration`s (EIA) 4th Quarter 1995 Short-Tenn Energy Outlook (STEO) Mid-World Oil Price Case forecast. Inventories in place on September 30, 1995, of 132 million barrels were 9 percent below the unusually high year-earlier level. Inventories of high-sulfur distillate fuel oil, the principal type used for heating, were 13 percent lower than a year earlier. Supply problems are not anticipated because refinery production and the ready availability of imports should be adequate to meet demand. Residential heating off prices are expected to be somewhat higher than last winter`s, as the effects of lower crude oil prices are offset by lower distillate inventories. Heating oil is forecast to average $0.92 per gallon, the highest price since the winter of 1992-93. Diesel fuel (including tax) is predicted to be slightly higher than last year at $1.13 per gallon. This article focuses on the winter assessment for distillate fuel oil, how well last year`s STEO winter outlook compared to actual events, and expectations for the coming winter. Additional analyses include regional low-sulfur and high-sulfur distillate supply, demand, and prices, and recent trends in distillate fuel oil inventories.

1995-10-27T23:59:59.000Z

38

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

39

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

40

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Focus Article Nuclear winter  

E-Print Network (OSTI)

Focus Article Nuclear winter Alan Robock Nuclear winter is the term for a theory describing the climatic effects of nuclear war. Smoke from the fires started by nuclear weapons, especially the black, sooty smoke from cities and industrial facilities, would be heated by the Sun, lofted into the upper

Robock, Alan

42

Winter Morning Air Temperature  

Science Conference Proceedings (OSTI)

Results of temperature measurements, which may be applied to inference of winter temperatures in data-sparse areas, are presented. The morning air temperatures during three winters were measured at 80 places in a 10 km 30 km area along the ...

A. Hogan; M. Ferrick

1997-01-01T23:59:59.000Z

43

Energy-Efficient Cooking for Winter | Department of Energy  

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

Cooking for Winter Cooking for Winter Energy-Efficient Cooking for Winter September 30, 2008 - 4:06pm Addthis Jen Carter What does this mean for me? Use your kitchen more efficiently when the seasons turn cold to help save energy and money at home. When I was growing up, the most poignant harbinger of winter wasn't the smell of fallen leaves or the slowly shortening days; it was the first time I came home from school to find a pot of my mother's homemade chicken soup simmering gently on the stove. That pot would be the first of many. As long as the thermometer outside the kitchen window hovered around freezing, my mother's weekly pot of soup remained a household staple. I've noticed much the same seasonal shift in my own kitchen. When summer's heat starts to make cooking oppressive, I turn off the oven and embrace the

44

Wildlife's Winter Diet  

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

Wildlife's Winter Diet Wildlife's Winter Diet Nature Bulletin No. 659 December 9, 1961 Forest Preserve District of Cook County George W. Dunne, President Roland F, Eisenbeis, Supt. of Conservation WILDLIFE'S WINTER DIET Anyone who regularly feeds wild birds, and counts up the amount of food that they eat in the course of a winter, often wonders how they could get along without his help. In one day of freezing weather two or three dozen small birds commonly clean up a half pound of food -- suet, sunflower seed, cracked corn or small grain. This does not take into account raids by squirrels and rabbits. Winter in this region is a time of food crisis for all warm-blooded wildlife. Most of our summer song birds, especially the insect eaters, avoid cold by migrating to warm climates until spring. Likewise, most waterfowl and shorebirds go south during the months when our waters are locked in ice.

45

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 *...

46

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

47

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

48

Winter Weather Uncertainty  

Gasoline and Diesel Fuel Update (EIA)

5 of 15 5 of 15 Notes: Heating Degree Days (HDDs): The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart indicates the extent to which last winter exhibited below-normal heating degree-days (and thus below-normal heating demand). Temperatures were consistently warmer than normal throughout the 1999-2000 heating season, despite the cold spell in the Northeast spanning January/February. This was particularly true in November 1999, February and March 2001. For the heating season as a whole (October through March), the 1999-2000 winter yielded total HDDs 10.7% below normal (less HDDs means warmer temperatures). Normal temperatures this coming winter would be expected to bring about 11% higher heating demand than we saw last year.

49

Winter Simulation Conference  

Science Conference Proceedings (OSTI)

Welcome to the 2009 Winter Simulation Conference (WSC), recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation. WSC is always located in exciting and dynamic locations ...

Ann Dunkin; Ricki G. Ingalls

2009-12-01T23:59:59.000Z

50

Trees in the winter  

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

Trees in the winter Trees in the winter Name: John H Hersey Age: N/A Location: N/A Country: N/A Date: N/A Question: Why do some trees in the winter lose their leaves and some are able to keep their leaves? Replies: John, You can view the leaves on a tree as its food manufacturing factory. For some trees, especially those which live in areas which become cold in the winter, the 'factories' do their work during the normal growing season and are forced to 'shut-down' over the winter months. There are many evergreens which hold their foliage all year, simply dropping some of them periodically as they age and become less efficient to be replaced by new needles. Larches in the area where I live are conifers which lose their needles, which is quite rare. You can see that foliage on a tree presents a problem: water loss from a tree is greatest in its foliage. A tree has to 'decide' (and this has occurred over millennia by evolution) whether to hold its foliage or shed it. If it decides to hold the foliage, then it must provide a means of insuring conservation of water, especially in the winter months when dry cold winds remove water which is not easily replace due to liquid water in the environment being frozen. Many plant's adaptation has been the production of a waxy cuticle to 'seal-off' the leaf from the environment and reduce water loss. You can understand that in the northern latitude's winters, sunlight duration and intensity drops, and for some plants the best solution has involved shedding the leaves for the winter, and growing a new set of 'factories' in the spring.

51

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

52

Stay Warm and Save Money This Winter with Tips from the Energy Department |  

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

Stay Warm and Save Money This Winter with Tips from the Energy Stay Warm and Save Money This Winter with Tips from the Energy Department Stay Warm and Save Money This Winter with Tips from the Energy Department December 19, 2011 - 1:24pm Addthis Department of Energy headquarters during the winter months. | DOE file photo. Department of Energy headquarters during the winter months. | DOE file photo. What does this mean for me? Help your family save money by saving energy with these tips this winter. Click "start now" on Benefits.gov to find out if you're eligible for government assistance, including energy-related costs. Editor's note: This article was originally posted on Benefits.gov. As the days get shorter and temperatures get cooler, those energy bills seem to just keep going up. The average American spends around $2,000 per household on energy costs

53

Stay Warm and Save Money This Winter with Tips from the Energy Department |  

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

Stay Warm and Save Money This Winter with Tips from the Energy Stay Warm and Save Money This Winter with Tips from the Energy Department Stay Warm and Save Money This Winter with Tips from the Energy Department December 19, 2011 - 1:24pm Addthis Department of Energy headquarters during the winter months. | DOE file photo. Department of Energy headquarters during the winter months. | DOE file photo. What does this mean for me? Help your family save money by saving energy with these tips this winter. Click "start now" on Benefits.gov to find out if you're eligible for government assistance, including energy-related costs. Editor's note: This article was originally posted on Benefits.gov. As the days get shorter and temperatures get cooler, those energy bills seem to just keep going up. The average American spends around $2,000 per household on energy costs

54

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

55

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

56

Energy Spending and Vulnerable Households  

E-Print Network (OSTI)

offthanbefore.Inparticularlargehouseholdswithlow incomesseemtohavebeenadverselyaffectedbythenewtariffstructuressince theyhavecomparablylargeenergyexpenditure(Bennetetal.,2002). 5. VulnerableHouseholdsandEnergySpending The... tariffscanplayanimportantpartinthepublicdebate on eradicating fuel poverty and helping the vulnerable households. Smart metering can provide consumers with information on the actual energy consumptionandmight lead to...

Jamasb, Tooraj; Meier, Helena

2011-01-26T23:59:59.000Z

57

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....

58

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

59

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...

60

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...

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Schedule of Winter Deadlines  

E-Print Network (OSTI)

What's New? UC Online Courses Pilot In upcoming Winter/Spring 2014 terms, the University of California Find-a-Class feature, students are able to search classes and enroll directly from the search page, but it also allows them to enter other mathematics-related fields that require a strong understanding

Williams, Gary A.

62

Winter Safety Information & Tips  

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

7 7 1 WINTER TERMINOLOGY It' s important that you understand winter storm terms so that you can prepare adequately, whether you are walking to the store or driving across the state. * Winter Weather Advisory : Issued when snow, sleet, freezing rain, or combination of precipitation types is expected to cause a significant inconvenience but not serious enough to warrant a warning. * Snow Advisory: - 2-4 inches of snow in a 12 hour period * Freezing Rain Advisory: - Ice accumulations of less than 1/4 inch * Ice Storm Warning: - 1/4 inch or more of ice accumulation January 2007 2 WINTER TERMINOLOGY * Winter Storm Watch: Issued when there is the potential for significant and hazardous winter weather within 48 hours. It does not mean that significant and hazardous winter weather will occur...it only means it is possible. - Significant and hazardous winter weather is defined as: * Over 5

63

Winter Fuels Outlook Conference 2010  

Reports and Publications (EIA)

This presentation at the 2010 Winter Fuels Outlook Conference in Washington, DC, outlined EIA's current forecast for U.S. crude oil, distillate, natural gas, propane and gasoline supply, demand, and markets over the coming winter season.

2010-10-13T23:59:59.000Z

64

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

65

Winter Distillate .and Propane Outlook  

U.S. Energy Information Administration (EIA)

Winter Distillate .and Propane Outlook. Joanne Shore Energy Information Administration State Heating Oil and Propane Program August 2000

66

Vanderbilt University Undergraduate Catalog Calendar 2003/2004  

E-Print Network (OSTI)

Professional Liability Insurance · 624 Training Modules · 624 Health and Hospitalization Insurance · 624

Palmeri, Thomas

67

Gilliam County Riparian Buffers; 2003-2004 Annual Reports.  

DOE Green Energy (OSTI)

Interest appears to be at an all-time high for riparian conservation programs in Gilliam County. With the recently added Herbaceous Buffer and the already established CREP program interest is booming. However, more and more people are turning towards the herbaceous buffer because of expense. The riparian forest buffer is becoming too expensive. Even with the excellent cost share and incentives landowners are having trouble with Farm Service Agency's payment limitation. Because of this payment limitation landowners are not receiving their full rental and incentive payments, usually in year one. This has cooled the installation of riparian forest buffers and peaked interest in the CP-29 (Herbaceous Buffer for Wildlife). Either way, riparian lands are being enhanced and water quality is being improved. Year three should be very similar to the accomplishments of year 2. There has already been several projects proposed that may or may not be approved during year 3. I am currently working on three projects that are all over 2.5 miles long on each side and total anywhere from 60 to 250 acres in size. Along with these three projects there at least seven small projects being proposed. Four of those projects are riparian forest buffers and the remaining are herbaceous buffers.

Coiner, Josh (Gilliam Soil and Water Conservation District, Condon, OR)

2004-06-01T23:59:59.000Z

68

Tobacco Free Initiative - Report of Activities 2003-2004  

E-Print Network (OSTI)

economics including the quadrennial conference of UNCTAD andheld during the eleventh quadrennial conference of UNCTAD in

World Health Organization

2005-01-01T23:59:59.000Z

69

Wasco Riparian Buffer Project, Annual Report 2003-2004.  

DOE Green Energy (OSTI)

This project implements riparian buffer systems in the Mid-Columbia, addressing limiting factors identified in the Deschutes River Sub-basin Summary, March 2, 2001. This project is providing the technical planning support needed to implement at least 20 riparian buffer system contracts on approximately 800 acres covering an estimated 36 miles of anadromous fish streams. During this second year of implementation, 17 buffer contracts were established on 173,462 ft. of stream (25.9 miles). Acreage included in the buffers totaled 891.6 acres. Average buffer width was 112 ft. on each side of the stream. Cumulative totals through the first two project years are 26 buffers on 36.6 stream miles covering 1,283.6 acres. Actual implementation costs, lease payments, and maintenance costs will be borne by existing USDA programs: Conservation Reserve (CRP) and Conservation Reserve Enhancement Programs (CREP). The lease period of each contract may vary from 10 to 15 years. During this year, the average lease period was 14.9 years. The total value of contracts established this year is $1,421,268 compared with $55,504 in BPA contract costs to provide the technical support needed to get the contracts implemented. Cumulative contract value for the first two years is $1,919,451 compared to $103,329 cost to BPA. This project provides technical staffing to conduct assessments and develop conservation plans required for riparian buffer systems to help keep pace with a growing backlog of potential buffer projects. This project meets a critical need in the lower Deschutes and lower John Day River basins and complements the Riparian Buffer project approved for Fifteenmile watershed, Project No. 2001-021-00 begun in fiscal year 2001. This project supports RPA 150 and 153 as required under the Federal Hydropower System biological opinion and benefits the mid-Columbia ESU of steelhead.

Graves, Ron

2003-07-01T23:59:59.000Z

70

Wheeler County Riparian Buffers; 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

Number of Contacts Made--I have contacted 35 landowners in Wheeler County. Of the 35 contacts 12 have resulted in meeting on their property to discuss available options. Included an article in the Annual Report and Wheeler SWCD newsletter mailed to 550 landowners. Contacts are primarily through networking with others here in the office as well as working closely with the NRCS office. Number of Contracts Negotiated--This Project has produced five riparian buffers within the past contract year. Each has greater meaning to the landowner than simply a buffer. In most cases the buffer is providing the landowner with improved grazing management and/or more reliable water source for livestock. Landowners also feel the enhanced wildlife habitat is a bonus to the program. Other Accomplishments--I took part in the John Day Subbasin Planning process and was able to offer assistance into the inventory items related to Wheeler County. I was often the only local representative able to attend the meetings. I assisted the Wheeler SWCD in writing a successful OWEB grant to remove 110 acres of junipers for watershed restoration, range rehabilitation, and economic development. One partner in the project is a manufacturer that uses juniper as their primary construction material. The goal is to create a pilot project that may grow into a self sustaining industry within the county. I also assisted in writing a small grant to improve water usage in the Muddy Creek watershed. I assisted with the Pine Creek Conservation Area ''Twilight Tour'' as well as the Wheeler SWCD ''Annual Meeting and Dinner''. Both events were successful in getting information out about our riparian buffer program. Facilitate office training and utilization of advanced GIS technology and mapping. Problems Encountered During Contract Year--The NRCS Cultural Resources Review process has ground to a halt. It is takes 6 months to get initial results from the Portland offices. Nearly all requests require site surveys that delay the process even further. The Farm Services Agency is not user friendly when it comes to the CREP program. The program has not been designed to fit everyone along a steelhead stream. Crop/Field designations often negate or complicate CREP eligibility along qualifying streams. I spend a great deal of time mediating between FSA and the landowner. I have lost one interested landowner specifically to the fears related to the Oregon Department of State Lands ''Navigability'' study. Outlook for Contract Year 3--I am currently working on a project area that will encompass nearly six miles of steelhead habitat. It is located in the critical Bridge Creek watershed. Another is nearly three miles in the Mountain Creek Watershed. Both projects will take great steps in improving fish habitat. Both are on Steelhead streams. Further out I am working with two landowners for projects in the Butte Creek watershed that will be highly visible and will likely gain the attention of many more landowners. Like all previous projects, there is a great deal of work in future projects in massaging the landowner into feeling comfortable with the riparian buffer program. The potential to do great things with this program is huge in Wheeler County. Continuing outreach and education efforts will help the process.

Homer, Will (Wheeler County Soil and Water Conservation District, John Day, OR)

2006-01-01T23:59:59.000Z

71

Hungry Horse Mitigation; Flathead Lake, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

The Confederated Salish and Kootenai Tribes (CSKT) and Montana Fish Wildlife and Parks (MFWP) wrote the ''Fisheries Mitigation Plan for Losses Attributable to the Construction and Operation of Hungry Horse Dam'' in March 1991 to define the fisheries losses, mitigation alternatives and recommendations to protect, mitigate and enhance resident fish and aquatic habitat affected by Hungry Horse Dam. On November 12, 1991, the Northwest Power Planning Council (NPPC) approved the mitigation plan with minor modifications, called for a detailed implementation plan, and amended measures 903(h)(1) through (7). A long-term mitigation plan was submitted in August 1992, was approved by the Council in 1993, and the first contract for this project was signed on November 11, 1993. The problem this project addresses is the loss of habitat, both in quality and quantity, in the Flathead Lake and River basin resulting from the construction and operation of Hungry Horse Dam. The purpose of the project is to both implement mitigation measures and monitor the biological responses to those measures including those implemented by Project Numbers 9101903 and 9101904. Goals and objectives of the 1994 Fish and Wildlife Program (Section 10.1) addressed by this project are the rebuilding to sustainable levels weak, but recoverable, native populations injured by the hydropower system. The project mitigates the blockage of spawning runs by Hungry Horse Dam by restoring and even creating spawning habitats within direct drainages to Flathead Lake. The project also addresses the altered habitat within Flathead Lake resulting from species shifts and consequent dominance of new species that restricts the potential success of mitigation measures. Specific goals of this project are to create and restore habitat and quantitatively monitor changes in fish populations to verify the efficacy of our mitigation measures. The project consists of three components: monitoring, restoration and research. Monitoring, for example, includes a spring gillnetting series conducted annually in Flathead Lake and builds on an existing data set initiated in 1981. Monitoring of the experimental kokanee reintroduction was a primary activity of this project between 1992 and 1997. Lake trout, whose high densities have precluded successful mitigation of losses of other species in Flathead Lake, have been monitored since 1996 to measure several biological parameters. Results of this work have utility in determining the population status of this key predator in Flathead Lake. The project has also defined the baseline condition of the Flathead Lake fishery in 1992-1993 and has conducted annual lakewide surveys since 1998. The restoration component of the project has addressed several stream channel, riparian, and fish passage problems, and suppression of non-native fish. The research component of the project began in FY 2000 and measured trophic linkages between M. relicta and other species to assist in predicting the results of our efforts to suppress lake trout. Only Objective 1 in the workplan is funded entirely by Hungry Horse Mitigation funds. Additional funds are drawn from other sources to assist in completion of Objectives 2-8.

Hansen, Barry; Evarts, Les (Confederated Salish and Kootenai Tribes of the Flathead Nation, Pablo, MT)

2005-06-01T23:59:59.000Z

72

The Brazen Nose Volume 38 2003-2004  

E-Print Network (OSTI)

- senschaften) Thomas Kempe, Thema ,,Management von wet- terinduzierten Risiken in der Energiewirtschaft

Oxford, University of

73

Annual Report for the Year 2003-2004  

E-Print Network (OSTI)

for the records, the Particle Physics and Astronomy Research Council (PPARC), for the deposit to become permanent. There are close connections between the RGO Archives and other collections in the University Library, particularly with material in the Portsmouth... part of the closed stacks could not be fetched for readers because the pneumatic stacks were out of action. These stacks have been in constant use for over thirty years and are subject to frequent breakdown. When this happens it can take several weeks...

Cambridge University Library

2004-01-01T23:59:59.000Z

74

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

75

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

76

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

77

Caterpillar in Winter  

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

Caterpillar in Winter Caterpillar in Winter Name: Peggy Location: N/A Country: N/A Date: N/A Question: I live in northern New York on the shore of Lake Ontario. The temperature today is 20 degrees. Last night it was 10 below. I found a woolly bear caterpillar walking across the snow. My question is should I leave it there or bring it in for the rest of the winter? How do I take care of it if I bring it in? Why would it come out of hibernation on such a cold day? Thank you. Replies: Why would it be out? Who knows, but it was, and was moving, so I suggest (belatedly of course since this was several days ago) leaving it alone. Small creatures have many remarkable characteristics that allow them to survive, most have been around a lot longer than humans and will probably still be around long after we are gone, and all the help they need from us is to be left alone.

78

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:...

79

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

80

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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...

82

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...

83

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...

84

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

85

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

86

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

87

NASEO 2010 Winter Fuels Outlook Conference October 13, 2010 Washington, DC Richard Newell, Administrator U.S. Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

10 1 10 1 NASEO 2010 Winter Fuels Outlook Conference October 13, 2010 Washington, DC Richard Newell, Administrator U.S. Energy Information Administration EIA Short-Term and Winter Fuels Outlook Richard Newell, NASEO Winter Fuels Conference, October 2010 2 Overview * EIA expects average heating bills to be 3% higher this winter than last - an increase of $24 to a U.S. average of $986 per household * Due to higher fuel prices forecast this winter compared to last - 2% higher electricity prices - 8% higher heating oil prices - 6% higher residential natural gas prices - 11% higher propane prices * Bill increases are moderated by a warmer winter weather forecast for the South, but little change in the Midwest/West; slightly colder in the Northeast * Inventories of fuel oil and natural gas are currently well above typical levels,

88

Winter fuels report  

Science Conference Proceedings (OSTI)

The Winter Fuels Report is intended to provide consise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: Distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplied on a US level; Natural gas supply and disposition and underground storage for the US and consumption for all PADD`s as well as selected National average prices; Residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; Crude oil and petroleum price comparisons for the US and selected cities; and A 6-10 Day and 30-Day outlook for temperature and precipitation and US total heating degree days by city.

Not Available

1995-02-17T23:59:59.000Z

89

Winter fuels report  

SciTech Connect

The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. 27 figs, 12 tabs.

1990-11-29T23:59:59.000Z

90

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 ......................................

91

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 ........................

92

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

93

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

94

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

95

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 ....................................................

96

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

97

`ERICKA' and `ATHENA' Winter Canola  

E-Print Network (OSTI)

`ERICKA' and `ATHENA' Winter Canola (Brassica napus L.) `Ericka' and `Athena' winter canola oil seed (canola-quality) cultivar by the Idaho Agricultural Experiment Station, Moscow, ID 83844 consistently produced seed meal glucosinolate content less than the 30 µmol g-1 "canola-quality" requirement

Brown, Jack

98

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

99

Winter Fuels Market Assessment 2000  

Gasoline and Diesel Fuel Update (EIA)

September 13, 2000 September 13, 2000 Winter Fuels Market Assessment 2000 09/14/2000 Click here to start Table of Contents Winter Fuels Market Assessment 2000 West Texas Intermediate Crude Oil Prices Perspective on Real Monthly World Oil Prices, 1976 - 2000 U.S. Crude Oil Stocks Total OECD Oil Stocks Distillate and Spot Crude Oil Prices Distillate Stocks Expected to Remain Low Distillate Stocks Are Important Part of East Coast Winter Supply Consumer Winter Heating Oil Costs Natural Gas Prices: Well Above Recent Averages Annual Real Natural Gas Prices by Sector End-of-Month Working Gas in .Underground Storage Residential Prices Do Not Reflect the Volatility Seen in Wellhead Prices Consumer Natural Gas Heating Costs Winter Weather Uncertainty Author: John Cook Email: jcook@eia.doe.gov

100

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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...

102

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

103

Winter fuels report  

SciTech Connect

The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition, underground storage, and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. The data will also be available electronically after 5:00 p.m. on Thursday during the heating season through the EIA Electronic Publication System (EPUB). 12 tabs.

1990-10-04T23:59:59.000Z

104

Winter_letter.qxp  

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

O O F F I C E O F F O S S I L E N E R G Y T N M T R A P E D O F E N E R G Y E T A T S D E T I N U S O F A M E R I C A E 2009 WINTER NEWS ORMAT UPDATE GEOTHERMAL ELECTRICAL GENERATION HOLDS PROMISE FOR OLDER OIL FIELDS Ormat's Organic Rankine Cycle generator has been running at full capacity since early September at NPR-3. I n October, Rocky Mountain Oilfield TestingCenter (RMOTC) and Ormat Inc. of Reno, Nevada, announced the first successful generation of electricity using geothermal hot water from a producing oil well. This project is unique in its production of on-site renewable power and has the potential to increase the productivity and longevity of existing U.S. oil fields. Harnessing hot water produced during oil production to power the oil field could lead to more economical access to reserves, espe- cially in older, depleted fields.

105

Winter fuels report  

Science Conference Proceedings (OSTI)

The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: Distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplied on a US level; propane net production, imports and stocks on a US level and for PADD`s I, II, and III; natural gas supply and disposition and underground storage for the US and consumption for all PADD`s; as well as selected National average prices; residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the US and selected cities; and a 6-10 Day, 30-Day, and 90-Day outlook for temperature and precipitation and US total heating degree-days by city.

Not Available

1994-10-01T23:59:59.000Z

106

"Winter is coming"  

E-Print Network (OSTI)

Those that do not sow care little about such mundane things as equinoxes or planting seasons, or even crop rotation for that matter. Wherever and whenever the reavers reave, the mood is always foul and the nights are never warm or pleasant. For the rest of the good folks of Westeros, however, a decent grasp of the long-term weather forecast is a necessity. Many a maester have tried to play the Game of Weather Patterns and foretell when to plant those last turnip seeds, hoping for a few more years of balmy respite. Tried and failed. For other than the somewhat vague (if not outright meaningless) omens of "Winter is Coming", their meteorological efforts have been worse than useless. To right that appalling wrong, here we attempt to explain the apparently erratic seasonal changes in the world of G.R.R.M. A natural explanation for such phenomena is the unique behavior of a circumbinary planet. Thus, by speculating that the planet under scrutiny is orbiting a pair of stars, we utilize the power of numerical three-...

Kostov, Veselin; Hartman, Nikolaus; Guzewich, Scott; Rogers, Justin

2013-01-01T23:59:59.000Z

107

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

108

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

109

Steam Heat: Winter Fountains in the City  

E-Print Network (OSTI)

Joan Brigham Steam Heat: Winter Fountains int h e City Steam is a phenomenon of the winter city. Iteven when the surging steam temporarily blinds them. When I

Brigham, Joan

1990-01-01T23:59:59.000Z

110

Elasticities of Electricity Demand in Urban Indian Households  

E-Print Network (OSTI)

Energy demand, and in particular electricity demand in India has been growing at a very rapid rate over the last decade. Given, current trends in population growth, industrialisation, urbanisation, modernisation and income growth, electricity consumption is expected to increase substantially in the coming decades as well. Tariff reforms could play a potentially important role as a demand side management tool in India. However, the effects of any price revisions on consumption will depend on the price elasticity of demand for electricity. In the past, electricity demand studies for India published in international journals have been based on aggregate macro data at the country or sub-national / state level. In this paper, price and income elasticities of electricity demand in the residential sector of all urban areas of India are estimated for the first time using disaggregate level survey data for over thirty thousand households. Three electricity demand functions have been estimated using monthly data for the following seasons: winter, monsoon and summer. The results show electricity demand is income and price inelastic in all three seasons, and that household, demographic and geographical variables are important in determining electricity demand, something that is not possible to determine using aggregate macro models alone. Key Words Residential electricity demand, price elasticity, income elasticity Short Title Electricity demand in Indian households Acknowledgements: The authors would like to gratefully acknowledge the National Sample Survey Organisation, Department of Statistics of the Government of India, for making available to us the unit level, household survey data. We would also like to thank Prof. Daniel Spreng for his support of our research. 2 1.

Shonali Pachauri

2002-01-01T23:59:59.000Z

111

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.

112

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart...

113

Winter Demand Impacted by Weather  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Heating oil demand is strongly influenced by weather. The "normal" numbers are the expected values for winter 2000-2001 used in EIA's Short-Term Energy Outlook. The chart indicates the extent to which the last winter exhibited below-normal heating degree-days (and thus below-normal heating demand). Temperatures were consistently warmer than normal throughout the 1999-2000 heating season. This was particularly true in November 1999, February 2001 and March 2001. For the heating season as a whole (October through March), the 1999-2000 winter yielded total HDDs 10.7% below normal. Normal temperatures this coming winter would, then, be expected to bring about 11% higher heating demand than we saw last year. Relative to normal, the 1999-2000 heating season was the warmest in

114

Winter_2009_Index.indd  

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

OF FOSSIL ENERGY, U.S. DEPARTMENT OF ENERGY * ISSUE NO. 82, WINTER 2009 A NEWSLETTER ABOUT INNOVATIVE TECHNOLOGIES FOR COAL UTILIZATION ANNUAL INDEX OF ARTICLES Clean Coal Today...

115

Synoptically Driven Arctic Winter States  

Science Conference Proceedings (OSTI)

The dense network of the Surface Heat Budget of the Arctic (SHEBA) observations is used to assess relationships between winter surface and atmospheric variables as the SHEBA site came under the influence of cyclonic and anticyclonic atmospheric ...

Kirstie Stramler; Anthony D. Del Genio; William B. Rossow

2011-03-01T23:59:59.000Z

116

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

117

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

118

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 ................................................................

119

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 ................................................................

120

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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

122

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

123

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 .....................................

124

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

125

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

126

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 .....................................

127

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

128

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 .......................

129

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

130

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

131

EIA Short-Term Energy and Winter Fuels OutlookWinter Fuels Outlook  

U.S. Energy Information Administration (EIA)

Winter Fuels OutlookWinter Fuels Outlook ... for all fossil f elsMarch 31) for all fossil fuels Percent changg()e in fuel bills from last winter (forecast) Fuel bill ...

132

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

133

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

134

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...

135

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 ...

136

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

137

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

138

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 ...

139

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

140

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Tree leaves in the winter  

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

Tree leaves in the winter Tree leaves in the winter Name: ethel Location: N/A Country: N/A Date: N/A Question: Why do leaves fall off of some trees in the winter? Replies: An interesting question, Ethel. Biologists generally try to explain behavior in terms of a response or adaptation to an environmental challenge. The challenge in this example is thought to be snowfall. The idea is that a massive accumulation of snow in a large tree canopy would lead to mechanical damage or breakage of tree limbs or the trunk. Most deciduous trees (those that lose leaves in fall) have broad flat leaves that catch snow quite well. The advantage of this type of leaf is that they also catch the sunlight well in the summer growing season, allowing efficient photosynthesis to support rapid summer growth. The leaves are not needed in the winter because cold temperatures inhibit the enzymes of photosynthesis and prevent significant growth. Another interesting question is how evergreen trees have adapted to similar environmental challenges using a different strategy. Ask me a about it if you are interested.

142

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

143

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 ..................................................

144

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 ..................................................

145

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

146

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

147

Consumer Natural Gas Winter Heating Costs  

Gasoline and Diesel Fuel Update (EIA)

5 of 26 Notes: Mild weather minimized residential gas consumption over most of the past 3 winters. Our projections for more or less normal winter weather through the remainder of...

148

Climate Model for Winter Wheat Yield Simulation  

Science Conference Proceedings (OSTI)

Winter wheat yields were simulated by a model requiring climatic data as input for estimating crop evapotranspiration and phenological development. An assumed relationship between the winter wheat yields and the amount and timing of crop water ...

Kenneth G. Hubbard; R. J. Hanks

1983-04-01T23:59:59.000Z

149

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

U.S. Energy Information Administration (EIA)

LDCs typically buy the natural gas commodity using a variety of servicesdepending on factors such as their load profile/customer mix, geographic location, ...

150

Winter Energy Savings from Lower Thermostat Settings  

Reports and Publications (EIA)

This discussion provides details on the effect of lowering thermostat settings during the winter heating months of 1997.

Information Center

2000-12-12T23:59:59.000Z

151

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

152

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

153

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

154

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 .................................................

155

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 .....................................................

156

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 .....................................................

157

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

158

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 .................................................

159

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

160

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

WINTER  

Annual Energy Outlook 2012 (EIA)

49222.4 49709.1 50541.8 50319.8 6a1 Wind Expected On-Peak 0 0 0 0 0 0 0 0 0 0 0 6a2 Solar Expected On-Peak 0 0 0 0 0 0 0 0 0 0 0 6a3 Hydro Expected On-Peak 55 43.5 43.5 43.5...

162

WINTER  

Annual Energy Outlook 2012 (EIA)

55,087 55,087 55,087 55,087 55,087 6a1 Wind Expected On-Peak 0 0 0 0 0 0 0 0 0 0 0 6a2 Solar Expected On-Peak 0 1 1 1 1 1 1 1 1 1 1 6a3 Hydro Expected On-Peak 44 44 44 44 44 44 44...

163

WINTER  

Annual Energy Outlook 2012 (EIA)

6a and must be < 6a) 54,264 54,264 54,264 54,264 6a1 Wind Expected On-Peak - - - - 6a2 Solar Expected On-Peak - - - - 6a3 Hydro Expected On-Peak 55 55 55 55 6a4 Biomass Expected...

164

Winter  

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

nibbled the tender bark of shrubs, or perhaps where one was chased by a fox or a hunting dog. If it was a fox, his tracks are more pointed and more nearly in a straight line than...

165

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

166

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

167

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

168

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 ......................................

169

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 ...................................

170

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 ......................................

171

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 ...................................

172

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

173

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

174

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

175

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

176

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 ...................................

177

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

178

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

179

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

180

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 "winter 2003-2004 household" 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

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

182

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

183

PPMCSA Presentation on Winter Distillate Outlook  

Gasoline and Diesel Fuel Update (EIA)

PPMCSA Presentation on Winter Distillate Outlook PPMCSA Presentation on Winter Distillate Outlook 09/15/2000 Click here to start Table of Contents Winter Distillate Outlook Distillate Prices Increasing With Crude Oil Factors Driving Prices & Forecast First Factor Impacting Distillate Prices: Crude Oil Prices High Crude Prices Go With Low Inventories Second Price Component: Spread Impacted by Distillate Supply/Demand Balance Distillate Stocks are Low – Especially on the East Coast Distillate Stocks Are Important Part of East Coast Winter Supply Winter Demand Impacted by Weather Warm Winters Held Heating Oil Demand Down While Diesel Grew Distillate Demand Strong in December 1999 Dec 1999 & Jan 2000 Production Fell, But Rebounded with Price Higher Yields Can Be Achieved Unusual Net Imports May Only Be Available at a High Price

184

Winter Distillate and Natural Gas Outlook  

U.S. Energy Information Administration (EIA)

Table of Contents. Winter Distillate and Natural Gas Outlook. Distillate Prices Increasing With Crude Oil. Distillate Outlook. When Will Crude Oil Prices Fall?

185

1998-99 Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

with historical data for last winter, ... production during the coming year is always present. ... needed to maintain reservoir pressure and are not a ...

186

EIA Short -Term and Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook, October 2008 NASEO 2008/09 Winter Fuels Outlook Conference October 7, 2008 Washington, DC Howard Gruenspecht Acting ...

187

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 ...

188

A Winter Weather Index for Estimating Winter Roadway Maintenance Costs in the Midwest  

Science Conference Proceedings (OSTI)

Winter roadway maintenance budget data for the state of Iowa have been combined with available climate data for a 6-yr period to create a winter weather index that provides a useful assessment of winter severity. The weather index can be combined ...

Craig G. Carmichael; William A. Gallus Jr.; Bradley R. Temeyer; Mark K. Bryden

2004-11-01T23:59:59.000Z

189

Winter Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

190

1Georgia Southern University Fact Book 2003--2004 The 2003--2004 Fact Book chronicles Georgia Southern's past year, as well as some markers of  

E-Print Network (OSTI)

by Degree Program (Includes both full-time and part-time Ph.D., M.S. Does not include special students relevance in all that it does and assures that the benefits of its discoveries are widely disseminated

Hutcheon, James M.

191

Microsoft Word - Highlights Bullets.doc  

Gasoline and Diesel Fuel Update (EIA)

February 2004 February 2004 Winter Heating Fuel and Gasoline Costs (Figures 1 to 3) A cold January (6 percent colder than normal nationally and 19 percent colder than normal in the Northeast) kept fuel prices and heating demand high, diminishing the likelihood that cumulative heating costs for the winter will fall below last year's high levels. The current estimate for winter 2003-2004 household heating bills compared to winter 2002-2003 is as follows: natural gas- heated homes: up 11 percent; heating oil users: down 1 percent; propane-heated households: up 7 percent; and homes with electric heat: up about 2 percent. These projections are national average values - actual heating bill changes may vary widely by region due to differences in weather and fuel price

192

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

193

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

194

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

195

FEMP Focus: Winter/Spring 2005 Issue  

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

agencies reported purchasing almost 552 gigawatt-hours of green power, enough renewable electricity to service more than 54,000 average households a year. * More than 150 federal...

196

NASEO 2010 Winter Fuels Outlook Conference October 13, 2010 ...  

U.S. Energy Information Administration (EIA)

EIA Short-Term and Winter Fuels Outlook NASEO 2010 Winter Fuels Outlook Conference October 13, 2010 Washington, DC Richard Newell, Administrator

197

Short-Term Energy Outlook and Winter Fuels Outlook  

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

Short-Term Energy Outlook and Winter Fuels Outlook For NASEO Winter Fuels Outlook Conference November 1, 2013| Washington, DC By Adam Sieminski, Administrator EIA works closely...

198

EIA Short-Term Energy and Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

Winter Fuels Outlook ... (October 1 March 31) for all fossil fuels Percent change in fuel bills from last winter (forecast) Fuel bill . Base case . forecast :

199

EIA Short-Term and Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

EIA Short-Term and Winter Fuels Outlook ... March 31) for fossil fuels but not electricity . Percent change in fuel bills from last winter (forecast) Fuel .

200

EIA Short-Term Energy and Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

Winter Fuels Outlook for National Association of State Energy Officials . ... for all fossil fuels Percent change in fuel bills from last winter (forecast)

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Winter, a valuable cooling energy resource  

DOE Green Energy (OSTI)

Frigid winters can now be thought of as a valuable energy resource. Ice frozen naturally during the winter could prove to be an energy-saving summertime blessing for cost-conscious owners of buildings or homes in the near future. Modern techniques involve freezing large blocks of ice in insulated storage tanks under or near the building to be cooled. Cooling with winter's ice is an idea whose time has come. The author discusses some methods of growing blocks of ice. These methods under development at various research organizations are heat pipes, layer by layer, earth freezing, and water spray.

Gorski, A.J.

1985-01-01T23:59:59.000Z

202

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

203

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

204

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...

205

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

206

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

207

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...

208

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

209

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...

210

01_winter-new.p65  

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

A NEWSLETTER ABOUT INNOVATIVE TECHNOLOGIES FOR COAL UTILIZATION NEWS BYTES OFFICE OF FOSSIL ENERGY, U.S. DEPARTMENT OF ENERGY * DOEFE-0215P-47 ISSUE NO. 47, WINTER 2001 See...

211

Proceedings of the Winter Simulation Conference  

Science Conference Proceedings (OSTI)

Welcome to the 2012 Winter Simulation Conference (WSC), recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation. Our venue of Berlin this year continues the trend of new ...

Oliver Rose; Adelinde M. Uhrmacher

2012-12-01T23:59:59.000Z

212

Infrared Thermometry in Winter Road Maintenance  

Science Conference Proceedings (OSTI)

There is significant interest among road authorities in measuring pavement conditions to perform appropriate winter road maintenance. The most common monitoring methods are based on pavement-mounted sensors. This studys hypothesis is that the ...

Patrik Jonsson; Mats Riehm

2012-06-01T23:59:59.000Z

213

Northern Winter Stationary Waves: Theory and Modeling  

Science Conference Proceedings (OSTI)

A review is provided of stationary wave theory, the theory for the deviations from zonal symmetry of the climate. To help focus the discussion the authors concentrate exclusively on northern winter. Several theoretical issues, including the ...

Isaac M. Held; Mingfang Ting; Hailan Wang

2002-08-01T23:59:59.000Z

214

A Report on Winter Snowpack-Augmentation  

Science Conference Proceedings (OSTI)

Cloud seeding to increase Winter snowpacks over mountainous regions of the western United States have been in existence for almost 40 years. However, our understanding of the physical processes taking place in the clouds in response to this ...

David W. Reynolds

1988-11-01T23:59:59.000Z

215

CHEMICAL ENGINEERING Fall 2013-Winter 2014  

E-Print Network (OSTI)

ADVANCED CHEMICAL ENGINEERING Fall 2013-Winter 2014 Certificate Program CONTINUING AND PROFESSIONAL EDUCATIONCONTINUING AND PROFESSIONAL EDUCATION #12;About the Advanced Chemical Engineering Certificate Program The new Advanced Chemical Engineering Certificate Program offers professionals in chemi- cal engineering

California at Davis, University of

216

1999-2000 Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

supplies of space-heating fuels are expected to be more than adequate to meet winter demand. ... Residential Heating Oil Prices: Weather Scenarios $0.00 $0.20 $0.40 $ ...

217

Natural Gas Winter Outlook 2000-2001  

Reports and Publications (EIA)

This article is based on the Winter Fuels Outlook published in the 4th Quarter Short-Term Energy Outlook and discusses the supply and demand outlook from October 2000 through March 2001.

Information Center

2000-10-01T23:59:59.000Z

218

Winter Weather FAQs | Argonne National Laboratory  

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

winter weather strikes overnight, these communications channels will be updated by 6 a.m., and as often as necessary thereafter. Those who live far from the laboratory may...

219

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

220

EIA Short-Term Energy and Winter Fuels OutlookWinter Fuels Outlook  

U.S. Energy Information Administration (EIA)

Home heating oil retail price includes taxes. 16 Source: EIA Short-Term Energy Outlook, October 2012 Short-Term Energy and Winter Fuels Outlook October 10, 2012.

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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

222

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

223

Microsoft Word - Highlights Bullets.doc  

Gasoline and Diesel Fuel Update (EIA)

January 2004 January 2004 This edition of the Outlook provides projections through 2005 for the first time (details). Winter Heating Fuel and Gasoline Costs (Figures 1 to 3) The outlook for winter 2003-2004 household heating bills compared to winter 2002-2003 is as follows: natural gas-heated homes: up 8 percent; heating oil users: down 4 percent; propane-heated households: up 3 percent; and homes with electric heat: up about 2 percent. These projections are national average values - actual heating bill changes may vary widely by region due to differences in weather and fuel price developments. The December 2003 average motor gasoline price (regular unleaded gasoline) is estimated to have fallen to $1.48 per gallon from $1.51 in November. Due to high

224

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

225

A New East Asian Winter Monsoon Index and Associated Characteristics of the Winter Monsoon  

Science Conference Proceedings (OSTI)

A new East Asian winter monsoon index, which reflects the 300-hPa meridional wind shear associated with the jet stream, was defined to describe the variability of the winter monsoon in midlatitude East Asia. This index represents very well the ...

Jong-Ghap Jhun; Eun-Jeong Lee

2004-02-01T23:59:59.000Z

226

Bradbury Science Museum announces winter opening hours  

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

Bradbury Science Museum winter hours Bradbury Science Museum winter hours Bradbury Science Museum announces winter opening hours Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). December 21, 2010 Bradbury Science Museum Bradbury Science Museum Contact Communications Office (505) 667-7000 Often called "a window to the Laboratory," the museum annually attracts thousands of visitors from all over the world. LOS ALAMOS, New Mexico, December 21, 2010-Los Alamos National Laboratory's Bradbury Science Museum will be closed on Christmas Day (December 25) and New Year's Day (January 1, 2011). On all other days, the museum will observe regular opening hours: from 10 a.m. to 5 p.m. Tuesdays to Saturdays, and from 1 to 5 p.m. Sundays and Mondays. Often called "a window to the Laboratory," the museum annually attracts

227

Propane Assessment for Winter 1995 - 1996  

Gasoline and Diesel Fuel Update (EIA)

Winter Fuels Report Winter Fuels Report Unless otherwise referenced, data in this article are taken from the following: Petroleum Supply Monthly, July 1995, DOE/EIA-0109 (95/09); Petroleum Supply Annual 1994, DOE/EIA-0340, Volumes 1 and 2 and predecessor reports; Petroleum Marketing Annual, July 1994, DOE/EIA-0487 (94); Winter Fuels Report, Week Ending October 6, 1995, DOE/EIA-0538 (95/96-1), and predecessor reports; and Short-Term Energy Outlook, DOE/EIA-0202 (95/3Q) and predecessor reports. All data through 1994 are considered final and are not subject to further revision. *Michael Burdette, an industry analyst on contract to the Energy Information Administration's Office of Oil and Gas, also contributed to this article. 1 Average level and width of average range based on 3 years of monthly data, January 1992 through December 1994. The significance of the

228

Evaluation of Fall Chinook and Chum Salmon Spawning below Bonneville Dam; 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

In 2003 a total of 253 adult fall chinook and 113 chum were sampled for biological data in the Ives and Pierce islands area below Bonneville Dam. Vital statistics were developed from 221 fall chinook and 109 chum samples. The peak redd count for fall chinook was 190. The peak redd count for chum was 262. Peak spawning time for fall chinook was set at approximately 24 November. Peak spawning time for chum occurred approximately 24 November. There were estimated to be a total of 1,533 fall chinook spawning below Bonneville Dam in 2003. The study area's 2003 chum population was estimated to be 688 spawning fish. Temperature unit data suggests that below Bonneville Dam 2003 brood bright stock, fall chinook emergence began on January 6, 2004 and ended 28 April 2004, with peak emergence occurring 13 April. 2003 brood juvenile chum emergence below Bonneville Dam began 22 February and continued through 15 April 2004. Peak chum emergence took place 25 March. A total of 25,433 juvenile chinook and 4,864 juvenile chum were sampled between the dates of 20 January and 28 June 2004 below Bonneville Dam. Juvenile chum migrated from the study area in the 40-55 mm fork length range. Migration of chum occurred during the months of March, April and May. Sampling results suggest fall chinook migration from rearing areas took place during the month of June 2004 when juvenile fall chinook were in the 65 to 80 mm fork length size range. Adult and juvenile sampling below Bonneville Dam provided information to assist in determining the stock of fall chinook and chum spawning and rearing below Bonneville Dam. Based on observed spawning times, adult age and sex composition, juvenile emergence timing, juvenile migration timing and juvenile size at the time of migration, it appears that in 2003 all of the fall chinook using the area below Bonneville Dam were of a late-spawning, bright stock. Observed spawning times, adult age and sex composition, GSI and DNA analysis, juvenile emergence timing, juvenile migration timing and juvenile size at the time of migration suggests chum spawning and rearing below Bonneville dam are similar to stocks of chum found in Hamilton and Hardy creek and are part of the Lower Columbia River Chum ESU.

van der Naald, Wayne; Duff, Cameron; Brooks, Robert (Oregon Department of Fish and Wildlife, Columbia River Section, John Day, OR)

2005-01-01T23:59:59.000Z

229

Oxbow Conservation Area; Middle Fork John Day River, Annual Report 2003-2004.  

DOE Green Energy (OSTI)

In early 2001, the Confederated Tribes of Warm Springs, through their John Day Basin Office, concluded the acquisition of the Oxbow Ranch, now know as the Oxbow Conservation Area (OCA). Under a memorandum of agreement with the Bonneville Power Administration (BPA), the Tribes are required to provided BPA an 'annual written report generally describing the real property interests in the Project, HEP analyses undertaken or in progress, and management activities undertaken or in progress'. The project during 2003 was crippled due to the aftermath of the BPA budget crisis. Some objectives were not completed during the first half of this contract because of limited funds in the 2003 fiscal year. The success of this property purchase can be seen on a daily basis. Water rights were utilized only in the early, high water season and only from diversion points with functional fish screens. After July 1, all of the OCA water rights were put instream. Riparian fences on the river, Ruby and Granite Boulder creeks continued to promote important vegetation to provide shade and bank stabilization. Hundreds of willow, dogwood, Douglas-fir, and cottonwood were planted along the Middle Fork John Day River. Livestock grazing on the property was carefully managed to ensure the protection of fish and wildlife habitat, while promoting meadow vigor and producing revenue for property taxes. Monitoring of property populations, resources, and management activities continued in 2003 to build a database for future management of this and other properties in the region.

Cochran, Brian

2004-02-01T23:59:59.000Z

230

Umatilla Basin Natural Production Monitoring and Evaluation; 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

The Umatilla Basin Natural Production Monitoring and Evaluation Project (UBNPMEP) is funded by Bonneville Power Administration (BPA) as directed by section 4(h) of the Pacific Northwest Electric Power Planning and Conservation Act of 1980 (P. L. 96-501). This project is in accordance with and pursuant to measures 4.2A, 4.3C.1, 7.1A.2, 7.1C.3, 7.1C.4 and 7.1D.2 of the Northwest Power Planning Council's (NPPC) Columbia River Basin Fish and Wildlife Program (NPPC 1994). Work was conducted by the Fisheries Program of the Confederated Tribes of the Umatilla Indian Reservation (CTUIR). UBNPMEP is coordinated with two ODFW research projects that also monitor and evaluate the success of the Umatilla Fisheries Restoration Plan. Our project deals with the natural production component of the plan, and the ODFW projects evaluate hatchery operations (project No. 19000500, Umatilla Hatchery M & E) and smolt outmigration (project No. 198902401, Evaluation of Juvenile Salmonid Outmigration and Survival in the Lower Umatilla River). Collectively these three projects comprehensively monitor and evaluate natural and hatchery salmonid production in the Umatilla River Basin. Table 1 outlines relationships with other BPA supported projects. The need for natural production monitoring has been identified in multiple planning documents including Wy-Kan-Ush-Mi Wa-Kish-Wit Volume I, 5b-13 (CRITFC 1996), the Umatilla Hatchery Master Plan (CTUIR & ODFW 1990), the Umatilla Basin Annual Operation Plan (ODFW and CTUIR 2004), the Umatilla Subbasin Summary (CTUIR & ODFW 2001), the Subbasin Plan (CTUIR & ODFW 2004), and the Comprehensive Research, Monitoring, and Evaluation Plan (Schwartz & Cameron Under Revision). Natural production monitoring and evaluation is also consistent with Section III, Basinwide Provisions, Strategy 9 of the 2000 Columbia River Basin Fish and Wildlife Program (NPPC 1994, NPPC 2004). The need for monitoring the natural production of salmonids in the Umatilla River Basin developed with the efforts to restore natural populations of spring and fall Chinook salmon, (Oncorhynchus tshawytsha) coho salmon and (O. kisutch) and enhance summer steelhead (O. mykiss). The need for restoration began with agricultural development in the early 1900's that extirpated salmon and reduced steelhead runs (BOR 1988). The most notable development was the construction and operation of Three-Mile Falls Dam (3MD) and other irrigation projects that dewatered the Umatilla River during salmon migrations. The Confederated Tribes of the Umatilla Indian Reservation (CTUIR) and the Oregon Department of Fish and Wildlife (ODFW) developed the Umatilla Hatchery Master Plan to restore the historical fisheries in the basin. The plan was completed in 1990 and included the following objectives: (1) Establish hatchery and natural runs of Chinook and coho salmon. (2) Enhance existing summer steelhead populations through a hatchery program. (3) Provide sustainable tribal and non-tribal harvest of salmon and steelhead. (4) Maintain the genetic characteristics of salmonids in the Umatilla River Basin. (5) Produce almost 48,000 adult returns to Three-Mile Falls Dam. The goals were reviewed in 1999 and were changed to 31,500 adult salmon and steelhead returns (Table 2). We conduct core long-term monitoring activities each year as well as two and three-year projects that address special needs for adaptive management. Examples of these projects include adult passage evaluations (Contor et al. 1995, Contor et al. 1996, Contor et al. 1997, Contor et al. 1998), genetic monitoring (Currens & Schreck 1995, Narum et al. 2004), and habitat assessment surveys (Contor et al. 1995, Contor et al. 1996, Contor et al. 1997, Contor et al. 1998). Our project goal is to provide quality information to managers and researchers working to restore anadromous salmonids to the Umatilla River Basin. This is the only project that monitors the restoration of naturally producing salmon and steelhead in the basin.

Schwartz, Jesse D.M.; Contor, Craig C.; Hoverson, Eric (Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources, Pendleton, OR)

2005-10-01T23:59:59.000Z

231

Resident Fish Stock above Chief Joseph and Grand Coulee Dams; 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

In 1980, the United States Congress enacted the Northwest Power Planning and Conservation Act (PL 96-501, 1980), which established the Northwest Power and Conservation Council (NPCC), formerly the Northwest Power Planning Council. The NPCC was directed by Congress to develop a regional Power Plan and also the Columbia River Basin Fish and Wildlife Program (FWP) to restore or replace losses of fish caused by construction and operation of hydroelectric dams in the Columbia River Basin. In developing the FWP, Congress specifically directed NPCC to solicit recommendations for measures to be included in the Program from the region's fish and wildlife agencies and Indian tribes. All measures adopted by the Council were also required to be consistent with the management objectives of the agencies and tribes [Section 4.(h)(6)(A)], the legal rights of Indian tribes in the region [Section 4.(h)(6)(D)] and be based upon and supported by the best available scientific knowledge [Section 4.(h)(6)(B)]. The Resident Fish Stock Status above Chief Joseph and Grand Coulee Dams Project, also known as the Joint Stock Assessment Project (JSAP) specifically addresses NPPC Council measure 10.8B.26 of the 1994 program. The Joint Stock Assessment Project is a management tool using ecosystem principles to manage artificial and native fish assemblages in altered environments existing in the Columbia River System above Chief Joseph and Grand Coulee Dams (Blocked Area). A three-phase approach of this project will enhance the fisheries resources of the Blocked Area by identifying data gaps, filling data gaps with research, and implementing management recommendations based on research results. The Blocked Area fisheries information is housed in a central location, allowing managers to view the entire system while making decisions, rather than basing management decisions on isolated portions of the system. The JSAP is designed and guided jointly by fisheries managers in the Blocked Area. The initial year of the project (1997) identified the need for a central data storage and analysis facility, coordination with the StreamNet project, compilation of Blocked Area fisheries information, and a report on the ecological condition of the Spokane River System. These needs were addressed in 1998 by acquiring a central location with a data storage and analysis system, coordinating a pilot project with StreamNet, compiling fisheries distribution data throughout the Blocked Area, identifying data gaps based on compiled information, and researching the ecological condition of the Spokane River. In order to ensure that any additional information collected throughout the life of this project will be easily stored and manipulated by the central storage facility, it was necessary to develop standardized methodologies between the JSAP fisheries managers. Common collection and analytical methodologies were developed in 1999. The project began addressing identified data gaps throughout the Blocked Area in 1999. Data collection of established projects and a variety of newly developed sampling projects are ongoing. Projects developed and undertaken by JSAP fisheries managers include investigations of the Pend Orielle River and its tributaries, the Little Spokane River and its tributaries, and water bodies within and near the Spokane Indian Reservation. Migration patterns of adfluvial and reservoir fish in Box Canyon Reservoir and its tributaries, a baseline assessment of Boundary Reservoir and its tributaries, ecological assessment of mountain lakes in Pend Oreille County, and assessments of streams and lakes on the Spokane Indian Reservation were completed by 2001. Assessments of the Little Spokane River and its tributaries, Spokane River below Spokane Falls, tributaries to the Pend Oreille River, small lakes in Pend Oreille County, WA, and water bodies within and near the Spokane Indian Reservation were conducted in 2002 and 2003. This work was done in accordance with the scope of work approved by Bonneville Power Administration (BPA).

Connor, Jason M. (Kalispel Tribe of Indians, Usk, WA); McLellan, Jason G. (Washington Department of Fish and Wildlife, Olympia, WA); Butler, Chris (Spokane Tribe of Indians, Wellpinit, WA)

2005-11-01T23:59:59.000Z

232

CLASS OF 1954Reunion Honor Roll of Donors 2003-2004  

E-Print Network (OSTI)

A. Branegan, Jr. '35 ++ D.J. Branning '60 ++ Frederick C. Braun III '63 ++ J. Douglas Breen '68 '91 ++ Stephen A. Bromfeld '72 John A. Broscious '55 ++ David B. Brown `12P Harry K. Brown, Jr. `66 Campo '09P `12P Steven A. Campo '09P `12P ++ Megan J. Capuano '91 ++ Robert W. Cardwell, Jr. `75 Charles

Miami, University of

233

NEHRP Biennial Report 2003-2004 v2 hi-res.qxp  

Science Conference Proceedings (OSTI)

... retrofitting standpipes, elevating tanks, and protecting ground level tanks to ensure ... for revising the above ground steel storage tank seismic design ...

2007-03-01T23:59:59.000Z

234

Clearwater Focus Watershed; Nez Perce Tribe, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

The Nez Perce Tribe Department of Fisheries Resource Management, Watershed Division, approaches watershed restoration with a goal to protect, restore, and enhance a connected network of functioning habitat types capable of supporting all fish life stages. Its goal is also to re-establish normal patterns of production, dispersal, and exchange of genetic information within the 1855 Treaty Area. The Nez Perce Tribe began watershed restoration projects within the Clearwater River Subbasin in 1996. Progress has been made in restoring the sub-basin by excluding cattle from critical riparian areas through fencing, stabilizing stream banks, decommissioning roads, and upgrading culverts. Coordination of these projects is critical to the success of the restoration of the sub-basin. Coordination activities also includes: inter and intra-department coordination, sub-basin assessment and planning, involving government and private organizations, and treaty area coordination.

Jones, Ira (Nez Perce Tribe, Lapwai, ID)

2004-06-01T23:59:59.000Z

235

Second-Tier Database for Ecosystem Focus, 2003-2004 Annual Report.  

SciTech Connect

The Second-Tier Database for Ecosystem Focus (Contract 00004124) provides direct and timely public access to Columbia Basin environmental, operational, fishery and riverine data resources for federal, state, public and private entities essential to sound operational and resource management. The database also assists with juvenile and adult mainstem passage modeling supporting federal decisions affecting the operation of the FCRPS. The Second-Tier Database known as Data Access in Real Time (DART) integrates public data for effective access, consideration and application. DART also provides analysis tools and performance measures for evaluating the condition of Columbia Basin salmonid stocks. These services are critical to BPA's implementation of its fish and wildlife responsibilities under the Endangered Species Act (ESA).

University of Washington, Columbia Basin Research, DART Project Staff, (University of Washington, School of Aquatic and Fishery Sciences, Seattle, WA)

2004-12-01T23:59:59.000Z

236

Radiation oncology career decision variables for graduating trainees seeking positions in 2003-2004  

SciTech Connect

Purpose: Radiation oncology trainees must consider an array of variables when deciding upon an academic or private practice career path. This prospective evaluation of the 2004 graduating radiation oncology trainees, evaluates such variables and provides additional descriptive data. Methods: A survey that included 15 questions (one subjective, eleven categorical, and 3 continuous variables) was mailed to the 144 graduating radiation oncology trainees in United States programs in January of 2004. Questions were designed to gather information regarding factors that may have influenced career path choices. The responses were anonymous, and no identifying information was sought. Survey data were collated and analyzed for differences in both categorical and continuous variables as they related to choice of academic or private practice career path. Results: Sixty seven (47%) of the surveys were returned. Forty-five percent of respondents indicated pursuit of an academic career. All respondents participated in research during training with 73% participating in research publication authorship. Post graduate year-3 was the median in which career path was chosen, and 20% thought that a fellowship position was 'perhaps' necessary to secure an academic position. Thirty percent of the respondents revealed that the timing of the American Board of Radiology examination influenced their career path decision. Eighteen variables were offered as possibly influencing career path choice within the survey, and the top five identified by those seeking an academic path were: (1) colleagues, (2) clinical research, (3) teaching, (4) geography, (5) and support staff. For those seeking private practice, the top choices were: (1) lifestyle, (2) practice environment, (3) patient care, (4) geography, (5) colleagues. Female gender (p = 0.064), oral meeting presentation (p = 0.053), and international meeting presentation (p 0.066) were the variables most significantly associated with pursuing an academic career path. The following variables were ranked significantly differently in hierarchy (p < 0.05) by those seeking an academic versus private practice path with respect to having influence on the career decision: lifestyle, income, case-mix, autonomy, ability to sub-specialize, basic research, clinical research, teaching, patient care, board structure, practice environment, and mentoring. Conclusion: These data offer descriptive information regarding variables that lead to radiation oncology trainee career path decisions. Such information may be of use in modification of training programs to meet future personnel and programmatic needs within the specialty.

Wilson, Lynn D. [Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT (United States)]. E-mail: lynn.wilson@yale.edu; Flynn, Daniel F. [Department of Radiation Oncology, Holy Family Hospital, Methuen, MA (United States); Haffty, Bruce G. [Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT (United States)

2005-06-01T23:59:59.000Z

237

Protect and Restore Mill Creek Watershed; Annual Report 2003-2004.  

DOE Green Energy (OSTI)

The Nez Perce Tribe Department of Fisheries Resource Management, Watershed Division approaches watershed restoration with a ridge-top to ridge-top approach. The Nez Perce Tribe and the Nez Perce National Forest have formed a partnership in completing watershed restoration activities, and through this partnership, more work is accomplished by sharing funding and resources in our effort. The Nez Perce Tribe began watershed restoration projects within the Mill Creek watershed of the South Fork Clearwater River in 2000. Progress has been made in restoring the watershed through excluding cattle from critical riparian areas through fencing. Starting in FY 2002, continuing into 2004, trees were planted in riparian areas in the meadow of the upper watershed. In addition, a complete inventory of culverts at road-stream crossings was completed. Culverts have been prioritized for replacement to accommodate fish passage throughout the watershed, and designs completed on two of the high priority culverts. Maintenance to the previously built fence was also completed.

McRoberts, Heidi (Nez Perce Tribe, Department of Fisheries Resource Management, Lapwai, ID)

2004-06-01T23:59:59.000Z

238

StreamNet; Northwest Aquatic Information Network, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

StreamNet is a cooperative data compilation, development, and distribution project involving the state, tribal and federal fish and wildlife agencies in the Columbia River basin. It is funded by the Bonneville Power Administration (BPA) through the Fish and Wildlife Program (FWP) of the Northwest Power and Conservation Council (NPCC), and is administered by the Pacific States Marine Fisheries Commission (PSMFC). The project is organized to perform three broad functions: Agency support: The project supports staff in the Idaho, Montana, Oregon and Washington state fish and wildlife agencies; the Columbia River Inter Tribal Fish Commission (CRITFC); and the U.S. Fish and Wildlife Service (USFWS) who locate, obtain, quality check and format specific types of fish related data. They convert these data into a standard data exchange format (DEF) and submit them, with references, to the regional StreamNet office. Regional Support: The regional component of StreamNet at PSMFC administers the project, coordinates with the FWP and other regional entities, and disseminates data regionally. As data are received from cooperators they are again quality checked then imported into the StreamNet database. Access to the data is provided on-line via a tabular data query system and interactive map applications at www.streamnet.org. The web site also provides access to independent data sets from other projects, pre-sorted data sets useful for specific purposes (such as for a recent pesticide spraying ruling or subbasin assessments), and general fish information for education purposes. Reference Support: The StreamNet Library, located at CRITFC, maintains access to all reference documents supporting the data in the StreamNet database, and provides full library services for patrons interested in fish and wildlife in the Pacific Northwest. The StreamNet Library also maintains probably the largest collection of agency gray literature related to fish and wildlife resources in the basin. The library participates in the Inter Library Loan program, and can exchange literature worldwide. This report summarizes StreamNet Project activities during fiscal year 2004 (FY-04). Detailed descriptions of accomplishments by individual objective and task are provided in the Project's quarterly progress reports, available on the reports and publications page of the StreamNet web site.

Schmidt, Bruce (Pacific States Marine Fisheries Commission, Portland, OR); Roger, Phil (Columbia River Inter-Tribal Fish Commission, Portland, OR); Butterfield, Bart (Idaho Department of Fish and Game, Boise, ID)

2005-01-01T23:59:59.000Z

239

Natural Production Monitoring and Evaluation; Idaho Department of Fish and Game, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

This report covers the following 3 parts of the Project: Part 1--Monitoring age composition of wild adult spring and summer Chinook salmon returning to the Snake River basin in 2003 to predict smolt-to-adult return rates Part 2--Development of a stock-recruitment relationship for Snake River spring/summer Chinook salmon to forecast natural smolt production Part 3--Improve the precision of smolt-to-adult survival rate estimates for wild steelhead trout by PIT tagging additional juveniles.

Copeland, Timothy; Johnson, June; Bunn, Paul (Idaho Department of Fish and Game, Boise, ID)

2004-12-01T23:59:59.000Z

240

Second-Tier Database for Ecosystem Focus, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

The Second-Tier Database for Ecosystem Focus (Contract 00004124) provides direct and timely public access to Columbia Basin environmental, operational, fishery and riverine data resources for federal, state, public and private entities essential to sound operational and resource management. The database also assists with juvenile and adult mainstem passage modeling supporting federal decisions affecting the operation of the FCRPS. The Second-Tier Database known as Data Access in Real Time (DART) integrates public data for effective access, consideration and application. DART also provides analysis tools and performance measures for evaluating the condition of Columbia Basin salmonid stocks. These services are critical to BPA's implementation of its fish and wildlife responsibilities under the Endangered Species Act (ESA).

University of Washington, Columbia Basin Research, DART Project Staff, (University of Washington, School of Aquatic and Fishery Sciences, Seattle, WA)

2004-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

NEHRP Biennial Report 2003-2004 v2 hi-res.qxp  

Science Conference Proceedings (OSTI)

... The group conducted remote community assistance visits bringing Earthquake Preparedness, TsunamiReady and StormReady,Tsunami ... Idaho ...

2007-03-01T23:59:59.000Z

242

Habitat Evaluation Procedures (HEP) Report; Forrest Conservation Area, Technical Report 2003-2004.  

DOE Green Energy (OSTI)

The Habitat Evaluation Procedure (HEP) study was performed to determine baseline habitat units on the 4,232-acre Forrest Conservation Area managed by the Confederated Tribes of Warm Springs Reservation of Oregon (Tribe) in Grant County, Oregon. The habitat evaluation is required as part of the Memorandum of Agreement between the Confederated Tribes of the Warm Springs and Bonneville Power Administration. Representatives from the Washington Department of Fish and Wildlife and the Tribes conducted the field surveys for the HEP. The survey collected data for habitat variables contained in habitat suitability index (HIS) models for wildlife species; the key species were black-capped chickadee (Poecile atricapilla), mallard (Anas platyrhynchos), mink (Mustela vison), western meadowlark (Sturnella neglecta), mule deer (Odocoileus hemionus), California Quail (Callipepla californica), and yellow warbler (Dendroica petechia). Cover types surveyed were grassland, meadow grassland, conifer forest, riparian tree shrub, shrub steppe, juniper forest, and juniper steppe. Other cover types mapped, but not used in the models were open water, roads, gravel pits, corrals, and residential.

Smith, Brent

2005-01-01T23:59:59.000Z

243

The ALIVE Center (A Local Information & Volunteer Exchange): An Evaluation of the Year 2003-2004.  

E-Print Network (OSTI)

??Volunteerism plays an important role in modern American society with benefits accruing to the community and individuals who volunteer. This thesis evaluated the first year (more)

Kaunisto, Joel

2004-01-01T23:59:59.000Z

244

Umatilla River Fish Passage Operations Program, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

Threemile Falls Dam (Threemile Dam), located near the town of Umatilla, is the major collection and counting point for adult salmonids returning to the Umatilla River. Returning salmon and steelhead were enumerated at Threemile Dam from August 19, 2003 to July 8, 2004. A total of 3,388 summer steelhead (Oncorhynchus mykiss); 1,482 adult, 638 jack, and 2,150 subjack fall chinook (O. tshawytscha); 8,319 adult and 667 jack coho (O. kisutch); and 2,965 adult and 270 jack spring chinook (O. tshawytscha) were counted. All fish were enumerated at the east bank facility. Of the fish counted, 34 summer steelhead and 31 adult and 9 jack spring chinook were hauled upstream from Threemile Dam. There were 3,166 summer steelhead; 1,076 adult, 554 jack and 2,026 subjack fall chinook; 8,213 adult and 647 jack coho; and 2,152 adult and 174 jack spring chinook either released at, or allowed to volitionally migrate past, Threemile Dam. Also, 121 summer steelhead; 388 adult and 19 jack fall chinook; and 561 adult and 29 jack spring chinook were collected for brood. In addition, 239 spring chinook were collected for the outplanting efforts in the Walla Walla Basin. There were also 25 pair hatchery steelhead adults collected for the progeny maker study. The Westland Canal juvenile facility (Westland), located near the town of Echo at rivermile (RM) 27, is the major collection point for outmigrating juvenile salmonids and steelhead kelts. The canal was open for 184 days between January 12 and July 6, 2004. During that period, fish were bypassed back to the river 173 days and were trapped 10 days. An estimated 44 pounds of juvenile fish were transported from Westland to the Umatilla River boat ramp (RM 0.5). Approximately 84% of the juveniles transported were salmonids. No steelhead kelts were hauled from Westland this year. The Threemile Dam west bank juvenile bypass was opened on February 10, 2004 for outmigration sampling and continued until July 7, 2004 when sampling was discontinued. The juvenile bypass ran at the 5 cfs level until the initiation of Phase I on August 15, 2004. The juvenile trap was operated by the Oregon Department of Fish and Wildlife (ODFW) under the Evaluation of Umatilla Juvenile Salmonid Outmigration Project.

Bronson, James P. (Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources, Pendleton, OR); Duke, Bill B. (Oregon Department of Fish and Wildlife, Pendleton, OR)

2005-08-01T23:59:59.000Z

245

Mitigation for the Construction and Operation of Libby Dam, 2003-2004 Annual Report.  

SciTech Connect

''Mitigation for the Construction and Operation of Libby Dam'' is part of the Northwest Power and Conservation Council's (NPCC) resident fish and wildlife program. The program was mandated by the Northwest Planning Act of 1980, and is responsible for mitigating for damages to fish and wildlife caused by hydroelectric development in the Columbia River Basin. The objective of Phase I of the project (1983 through 1987) was to maintain or enhance the Libby Reservoir fishery by quantifying seasonal water levels and developing ecologically sound operational guidelines. The objective of Phase II of the project (1988 through 1996) was to determine the biological effects of reservoir operations combined with biotic changes associated with an aging reservoir. The objectives of Phase III of the project (1996 through present) are to implement habitat enhancement measures to mitigate for dam effects, to provide data for implementation of operational strategies that benefit resident fish, monitor reservoir and river conditions, and monitor mitigation projects for effectiveness. This project completes urgent and high priority mitigation actions as directed by the Kootenai Subbasin Plan. Montana FWP uses a combination of diverse techniques to collect a variety of physical and biological data within the Kootenai River Basin. These data serve several purposes including: the development and refinement of models used in management of water resources and operation of Libby Dam; investigations into the limiting factors of native fish populations, gathering basic life history information, tracking trends in endangered, threatened species, and the assessment of restoration or management activities intended to restore native fishes and their habitats.

Dunnigan, James; DeShazer, Jay; Garrow, Larry (Montana Department of Fish, Wildlife and Parks, Libby, MT)

2004-06-01T23:59:59.000Z

246

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

247

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

248

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

249

Warm winter storms in Central Chile  

Science Conference Proceedings (OSTI)

Central Chile is a densely populated region along the west coast of subtropical South America (30-36S) limited to the east by the Andes. Precipitation is concentrated in austral winter mostly associated with the passage of cold fronts. The ...

R. Garreaud

250

Winter Icing and Storms Project (WISP)  

Science Conference Proceedings (OSTI)

Field studies in support of the Winter Icing and Storms Project (WISP) were conducted in the Colorado Front Range area from 1 February to 31 March 1990(WISP90) and from 15 January to 5 April 1991 (WISP91). The main goals of the project are to ...

Roy Rasmussen; Marcia Politovich; Wayne Sand; Greg Stossmeister; Ben Bernstein; Kim Elmore; John Marwitz; John McGinley; John Smart; Ed Westwater; B. Boba Stankov; Roger Pielke; Steve Rutledge; Doug Wesley; Nick Powell; Don Burrows

1992-07-01T23:59:59.000Z

251

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

252

Crime and the Nations 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

253

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

254

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

255

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

256

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 ...

257

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

258

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

259

U.S. households are incorporating energyefficient 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) ...

260

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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 ...

262

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

263

EIA Short-Term Energy and Winter Fuels OutlookWinter Fuels Outlook  

U.S. Energy Information Administration (EIA)

heating oil electricity South U.S. total wood kerosene/other/no heating 116 million homes 4 Short-Term Energy and Winter Fuels Outlook October 8, 2013

264

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

265

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

266

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

267

Thermodynamic and Circulation Characteristics, of Winter Monsoon Tropical Mesoscale Convection  

Science Conference Proceedings (OSTI)

During the December 1978 field phase of the International Winter Monsoon Experiment (Winter MONEX), a regular diurnal cycle of deep convective activity occurred over the South China Sea immediately to the north of Borneo. The convection was ...

Richad H. Johnson; Donald C. Kriete

1982-12-01T23:59:59.000Z

268

Estimating Winter Design Temperatures from Daily Minimum Temperatures  

Science Conference Proceedings (OSTI)

A methodology has been developed to estimate winter design temperatures (temperatures exceeded a specific number of hours during the December through February winter season-an important design parameter in building construction) from synthetic ...

Nolan J. Doesken; Thomas B. McKee

1983-10-01T23:59:59.000Z

269

Three-Dimensional VHF Lightning Mapping System for Winter Thunderstorms  

Science Conference Proceedings (OSTI)

A three-dimensional (3D) winter lightning mapping system employing very high frequency (VHF) broadband signals was developed for continuous remote observation in winter. VHF broadband pulses radiated by leader progression are received with three ...

Masahide Nishihashi; Ken-ichi Shimose; Kenichi Kusunoki; Syugo Hayashi; Ken-ichiro Arai; Hanako Y. Inoue; Wataru Mashiko; Masako Kusume; Hiroyuki Morishima

2013-02-01T23:59:59.000Z

270

Hawaiian Winter Rainfall and its Relation to the Southern Oscillation  

Science Conference Proceedings (OSTI)

Regression analyses revealed significant variability during the winter months in the relationship between Hawaiian winter rainfall and the Southern Oscillation. Examination of daily surface and upper air charts indicated that the variability ...

Gregory E. Taylor

1984-08-01T23:59:59.000Z

271

Responses of wintering humpback whales to vessel traffic  

Science Conference Proceedings (OSTI)

Responses of humpback whales to vessel traffic were monitored over two winter seasons during 19831984 in Maui

Gordon B. Bauer; Joseph R. Mobley; Louis M. Herman

1993-01-01T23:59:59.000Z

272

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

273

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 Semp, Thomas Huraux, Nicolas Sabouret, Yvon Haradji

2013-05-01T23:59:59.000Z

274

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

275

Microsoft Word - Highlights BulletsFinal.doc  

Gasoline and Diesel Fuel Update (EIA)

December 2003 December 2003 Heating fuel and gasoline costs this winter (Figures 1 to 3) The outlook for winter 2003-2004 household heating bills remains mixed relative to 2002-2003: natural gas-heated homes: up 6 percent; heating oil users: down 4 percent; propane heated households: flat; and homes with electric heat: up about 2 percent. These projections are national average values - actual heating bill changes may vary widely by region due differences in weather and fuel price developments. The November average motor gasoline price (regular unleaded gasoline) fell to $1.51 per gallon. Motor gasoline prices have been drifting downward, as expected, following the late summer price surge. Due to the tight inventory situation, pump prices may level off

276

City of Winter Park Energy Conservation Rebate Program (Florida) |  

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

City of Winter Park Energy Conservation Rebate Program (Florida) City of Winter Park Energy Conservation Rebate Program (Florida) City of Winter Park Energy Conservation Rebate Program (Florida) < Back Eligibility Commercial Residential Savings Category Home Weatherization Commercial Weatherization Heating & Cooling Commercial Heating & Cooling Cooling Manufacturing Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Windows, Doors, & Skylights Solar Water Heating Program Info State Florida Program Type Local Rebate Program Rebate Amount Varies based upon technology and eligible sector The City of Winter Park is now offering rebates to Winter Park electric residential and commercial customers for implementing energy conservation measures. Residential customers can qualify for rebates on duct repair, attic

277

Steven Winter Associates (Consortium for Advanced Residential Buildings) |  

Open Energy Info (EERE)

Winter Associates (Consortium for Advanced Residential Buildings) Winter Associates (Consortium for Advanced Residential Buildings) Jump to: navigation, search Name Steven Winter Associates (Consortium for Advanced Residential Buildings) Place Norwalk, CT Information About Partnership with NREL Partnership with NREL Yes Partnership Type Incubator Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Steven Winter Associates (Consortium for Advanced Residential Buildings) is a company located in Norwalk, CT. References Retrieved from "http://en.openei.org/w/index.php?title=Steven_Winter_Associates_(Consortium_for_Advanced_Residential_Buildings)&oldid=379243" Categories: Clean Energy Organizations

278

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

279

Fall and Winter Energy-Saving Tips | Department of Energy  

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

Fall and Winter Energy-Saving Tips Fall and Winter Energy-Saving Tips Fall and Winter Energy-Saving Tips October 21, 2013 - 8:44am Addthis Simple and inexpensive actions can help you save energy and money during the cool fall and winter months. | Photo courtesy of ©iStockphoto.com. Simple and inexpensive actions can help you save energy and money during the cool fall and winter months. | Photo courtesy of ©iStockphoto.com. This article will help you find strategies to help you save energy during the cool fall and cold winter months. Some of the tips below are free and can be used on a daily basis to increase your savings; others are simple and inexpensive actions you can take to ensure maximum savings through the winter. If you haven't already, conduct an energy assessment to find out where you

280

Fall and Winter Energy-Saving Tips | Department of Energy  

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

Fall and Winter Energy-Saving Tips Fall and Winter Energy-Saving Tips Fall and Winter Energy-Saving Tips October 21, 2013 - 8:44am Addthis Simple and inexpensive actions can help you save energy and money during the cool fall and winter months. | Photo courtesy of ©iStockphoto.com. Simple and inexpensive actions can help you save energy and money during the cool fall and winter months. | Photo courtesy of ©iStockphoto.com. This article will help you find strategies to help you save energy during the cool fall and cold winter months. Some of the tips below are free and can be used on a daily basis to increase your savings; others are simple and inexpensive actions you can take to ensure maximum savings through the winter. If you haven't already, conduct an energy assessment to find out where you

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Winter Fuels Outlook: 2002-2003 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... augmented by generally higher fuel prices, strongly suggests the likelihood that household energy expenses during the 2002-2003 heating season will be up ...

282

Consumer Winter Natural Gas Costs - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Household Gas Heating Costs. Since ... percent more by our calculations for a typical ... coming season they spent less for it due to much lower resid ...

283

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

284

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

285

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

286

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:

287

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:

288

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:

289

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:

290

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:

291

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

292

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

293

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

294

Winter Infiltration Results from the FRTF Laboratory  

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

Florida Florida Winter Infiltration Results from the FRTF Laboratory Building America Stakeholders Meeting Austin, TX March 1-2, 2012 Philip Fairey FLORIDA SOLAR ENERGY CENTER - A Research Institute of the University of Central Florida Project Objectives Under side-by-side, in situ controlled conditions: * Measure effectiveness of various energy retrofit improvements * Produce high-quality empirical data set useful for home energy simulation verification. FLORIDA SOLAR ENERGY CENTER - A Research Institute of the University of Central Florida * Two identical side-by-side 1536 ft 2 , concrete block, slab-on-grade residences * Single pane fenestration, evenly distributed * No concrete block wall insulation

295

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

296

Both Distillate Supply and Demand Reached Extraordinary Levels This Winter  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: This chart shows some critical differences in distillate supply and demand during this winter heating season, in comparison to the past two winters. Typically, distillate demand peaks during the winter months, but "new supply" (refinery production and net imports) cannot increase as much, so the remaining supply needed is drawn from inventories. This pattern is evident in each of the past two winter heating seasons. This winter, however, the pattern was very different, for several reasons: With inventories entering the season at extremely low levels, a "typical" winter stockdraw would have been nearly impossible, particularly in the Northeast, the region most dependent on heating oil. Demand reached near-record levels in December, as colder-than-normal

297

Aspen Winter Conferences on High Energy  

SciTech Connect

The 2011 Aspen Winter Conference on Particle Physics was held at the Aspen Center for Physics from February 12 to February 18, 2011. Ninety-four participants from ten countries, and several universities and national labs attended the workshop titled, ?New Data From the Energy Frontier.? There were 54 formal talks, and a considerable number of informal discussions held during the week. The week?s events included a public lecture (?The Hunt for the Elusive Higgs Boson? given by Ben Kilminster from Ohio State University) and attended by 119 members of the public, and a physics caf? geared for high schoolers that is a discussion with physicists. The 2011 Aspen Winter Conference on Astroparticle physics held at the Aspen Center for Physics was ?Indirect and Direct Detection of Dark Matter.? It was held from February 6 to February 12, 2011. The 70 participants came from 7 countries and attended 53 talks over five days. Late mornings through the afternoon are reserved for informal discussions. In feedback received from participants, it is often these unplanned chats that produce the most excitement due to working through problems with fellow physicists from other institutions and countries or due to incipient collaborations. In addition, Blas Cabrera of Stanford University gave a public lecture titled ?What Makes Up Dark Matter.? There were 183 members of the general public in attendance. Before the lecture, 45 people attended the physics caf? to discuss dark matter. This report provides the attendee lists, programs, and announcement posters for each event.

multiple speakers, presenters listed on link below

2011-02-12T23:59:59.000Z

298

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.

299

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.

300

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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...

302

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...

303

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

304

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...

305

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

306

cctoday_winter_2005_02-06-06.indd  

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

BYTES OFFICE OF FOSSIL ENERGY, U.S. DEPARTMENT OF ENERGY * DOEFE-0699 * ISSUE NO. 65, WINTER 2005 A NEWSLETTER ABOUT INNOVATIVE TECHNOLOGIES FOR COAL UTILIZATION A NEWSLETTER...

307

2008-2009 Winter Fuels Outlook Conference Ronald Reagan Building...  

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

Trade Center More Documents & Publications Clark Atlanta Universities (CAU) Energy Related Research Capabilities 2008-2009 Winter Fuels Outlook Conference Ronald Reagan...

308

Field Demonstration of Automated Demand Response for Both Winter...  

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

Demonstration of Automated Demand Response for Both Winter and Summer Events in Large Buildings in the Pacific Northwest Title Field Demonstration of Automated Demand Response for...

309

Relationship between juvenile steelhead survival and winter habitat availability  

E-Print Network (OSTI)

Ugedal. 2007. Shelter availability affects behaviour, size-and winter habitat availability Eric Huber, Sammy Kayed, andThe establishment and availability of interstitial spaces

Huber, Eric; Kayed, Sammy; Post, Charles

2011-01-01T23:59:59.000Z

310

EIA Short-Term and Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

Washington, DC, October 12, 2011 Source: EIA Short-Term Energy Outlook, October 2011 History : Heating Oil Howard Gruenspecht, Winter Fuels Outlook 14

311

EIA Short-Term and Winter Fuels Outlook  

U.S. Energy Information Administration (EIA)

Washington, DC, October 21, 2011 . EIA expects gasoline prices will track the cost of crude oil, with regular gasoline prices this winter averaging about 34 cents per

312

NASEO 2010 Winter Fuels Outlook Conference October 13, 2010 ...  

U.S. Energy Information Administration (EIA)

10/13/2010: NASEO 2010 Winter Fuels Outlook Conference October 13, 2010 Washington, DC Richard Newell, Administrator U.S. Energy Information Administration

313

Summer and Winter Precipitation in England and Wales: 1874 -...  

Open Energy Info (EERE)

and Wales: 1874 - 2009 This dataset, made available by the UK Department of Energy and Climate Change (DECC), presents summer and winter precipitation for England and Wales, and...

314

Consumer Winter Propane Costs - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The average homeowner in the Midwest can expect their winter bill (from October through March) to be about $50 higher this year over last if normal weather occurs.

315

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

316

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

317

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

318

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

319

Steven Winters Associates Inc | Open Energy Information  

Open Energy Info (EERE)

Inc Inc Jump to: navigation, search Name Steven Winters Associates Inc Address 307 7th Avenue Place New York, New York Zip 10001 Sector Buildings Product Research, design and consulting for high performance buildings Website http://www.swinter.com/ Coordinates 40.746817°, -73.993158° 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":40.746817,"lon":-73.993158,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

320

Last Winter's Price Spike Limited to Northeast  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: This chart shows the day-to-day volatility in spot crude and heating oil prices, and clearly shows the regional nature of the price spike that occurred last winter. Due to a combination of extreme cold weather, low inventories, and refinery and transportation problems, New York Harbor spot prices shot up as high as $1.77 per gallon in a brief period in late January and early February. In June of this year, distillate spreads had dropped to 2.5 cents per gallon as a result of crude oil prices increasing faster than product prices. But by August spreads had strengthened to about 15 cents, and were as high as 21 cents on average in November 2000, which is almost 15 cents above average -- reflecting continued low stocks and the lack of even a normal summer/autumn build in inventories.

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Motor gasolines, winter 1982-83  

Science Conference Proceedings (OSTI)

Analytical data for 1330 samples of motor gasoline, were collected from service stations throughout the country and were analyzed in the laboratories of various refiners, motor manufacturers, and chemical companies. The data were submitted to the Bartlesville Energy Technology Center for study, necessary calculations, and compilation under a cooperative agreement between the Bartlesville Energy Technology Center (BETC) and the American Petroleum Institute (API). The samples represent the products of 28 companies, large and small, which manufacture and supply gasoline. These data are tabulated by groups according to brands (unlabeled) and grades for 17 marketing districts into which the country is divided. A map included in this report, shows marketing areas, districts and sampling locations. The report also includes charts indicating the trends of selected properties of motor fuels since winter 1959-1960 survey for the leaded gasolines, and since winter 1979-1980 survey for the unleaded gasolines. Sixteen octane distribution percent charts for areas 1, 2, 3, and 4 for unleaded antiknock index (R + M)/2 below 90.0, unleaded antiknock index (R + M/2 90.0 and above, leaded antiknock index (R + M)/2 below 93.0, and leaded antiknock index (R + M)/2 93.0 and above grades of gasoline are presented in this report. The antiknock (octane) index (R + M)/2 averages of gasoline sold in this country were 87.3 for unleaded below 90.0, 91.5 for unleaded 90.0 and above, and 89.1 for leaded below 93.0, and no data was reported in this report for leaded gasolines with an antiknock index (R + M)/2 93.0 and above. 21 figures, 5 tables.

Shelton, E.M.

1983-07-01T23:59:59.000Z

322

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.

323

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

324

The Energy Balance of the Winter Boreal Landscape  

Science Conference Proceedings (OSTI)

During the winter of 1993/94 a study to quantify the winter energy balance of the main cover types of the boreal landscape took place. The study was based on the southern edge of boreal forest in Canada. Measurements were made over a mature jack ...

R. J. Harding; J. W. Pomeroy

1996-11-01T23:59:59.000Z

325

Safety and Mobility Impacts of Winter Weather Phase I  

E-Print Network (OSTI)

of a Maintenance Decision Support System (MDSS), many state DOTs, such as the Indiana DOT (INDOT) and the Colorado technologically-enhanced winter maintenance systems (such as RWIS and an MDSS) are clearly beneficial Management and Site Identification While performance assessment is a crucial part of any winter maintenance

Beresnev, Igor

326

Seasonal Winter Weather Forecast for UK December 2000 -February 2001  

E-Print Network (OSTI)

Seasonal Winter Weather Forecast for UK December 2000 - February 2001 Summary and Verification of Authors' Seasonal Forecasts Issued: 23rd March, 2001 by Mark Saunders, Tony Hamilton, and Steve George and less windy winter than average. Forecasts proved successful for temperature and rainfall but windiness

Saunders, Mark

327

Aerial Surveys to Estimate Abundance of Wintering Waterfowl in Mississippi  

E-Print Network (OSTI)

1 Aerial Surveys to Estimate Abundance of Wintering Waterfowl in Mississippi Aaron Pearse, Rick Kaminski, Steve Dinsmore, and Ken Reinecke Monitoring Waterfowl · Banding program · Breeding-ground survey(s) · Hunter surveys · Wintering waterfowl surveys Objectives Design Evaluate Application 1) Sampling 2

Gray, Matthew

328

Winter Is Coming. Get Busy Saving Energy! | Department of Energy  

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

Winter Is Coming. Get Busy Saving Energy! Winter Is Coming. Get Busy Saving Energy! Winter Is Coming. Get Busy Saving Energy! October 18, 2010 - 7:30am Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy It's been a long, hot summer in Washington, D.C., but we're finally starting to slide into autumn and cooler weather. You might have noticed that we've already changed our seasonal tips page over to "Stay Warm, Save Money," so now is a good time to look at your house and car and think about winter. For instance, in summertime, you want to reduce or eliminate the heat that comes from sunlight; in winter, you want to maximize that heat. Solar heat gain can reduce the amount of heat your furnace has to produce; open the curtains during the day and you can save yourself some bucks.

329

Distillate Fuel Oil Assessment for Winter 1996-1997  

Gasoline and Diesel Fuel Update (EIA)

following Energy Information Administration sources: Weekly following Energy Information Administration sources: Weekly Petroleum Status Report, DOE/EIA-0208(96-39); Petroleum Supply Monthly, September 1996, DOE/EIA-0109(96/09); Petroleum Supply Annual 1995, DOE/EIA-0340(95); Petroleum Marketing Monthly, September 1996, DOE/EIA-0380(96/09); Short-Term Energy Outlook, DOE/EIA-0202(96/4Q) and 4th Quarter 1996 Short-Term Integrated Forecasting System; and an address by EIA Administrator Jay E. Hakes on the Fall 1996 Heating Fuel Assessment before the National Association of State Energy Officials, September 16, 1996. Table FE1. Distillate Fuel Oil Demand and Supply Factors, Winter (October - March) 1993-94 Through 1996-97 History STEO Mid Case Factor Winter Winter Winter Winter 1993-94

330

ARM - Field Campaign - Winter Single Column Model IOP  

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

govCampaignsWinter Single Column Model IOP govCampaignsWinter Single Column Model IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Winter Single Column Model IOP 1999.01.19 - 1999.02.08 Lead Scientist : David Randall Data Availability Actual data files for a number of past SCM IOPs are available from the ARM Archive under IOPs/UAV. Cloud and Radiation Products Derived from Satellite Data Colorado State's Single Column Modeling Home Page For data sets, see below. Description A second winter SCM IOP was conducted (1/19 - 2/8/99) to provide additional sampling of winter weather conditions. This was the first SCM IOP where AERIs and ceilometers were installed at the boundary facilities to give retrievals of temperature and moisture to supplement the sounding data. A

331

Winter Fuels Outlook Conference Rescheduled for November 1 | Department of  

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

Winter Fuels Outlook Conference Rescheduled for November 1 Winter Fuels Outlook Conference Rescheduled for November 1 Winter Fuels Outlook Conference Rescheduled for November 1 October 7, 2013 - 9:50am Addthis DOE's Office of Electricity Delivery and Energy Reliability, Energy Information Administration, and the National Association of State Energy Officials will host the 2013 - 2014 Winter Fuels Outlook Conference on November 1 at the National Press Club in Washington, DC. Originally scheduled for October 8, the conference has been rescheduled due to the shutdown of the Federal government. This supply and demand forecast event will address the effects of projected weather and market factors that may affect the supply, distribution and prices of petroleum, natural gas and electricity this winter. For more information and to register for the

332

The Local Winter Storm Scale: A Measure of the Intrinsic Ability of Winter Storms to Disrupt Society  

Science Conference Proceedings (OSTI)

A local winter storm scale (LWSS) is developed to categorize the disruption caused by winter storms using archived surface weather observations from a single location along the U.S. East Coast. Development of LWSS is motivated by the recognition that the ...

Brian J. Cerruti; Steven G. Decker

2011-06-01T23:59:59.000Z

333

Short-Term Energy and Winter Fuels Outlook (STEO)  

U.S. Energy Information Administration (EIA)

Wood. The use of cord wood and wood pellets as the primary residential space heating fuel has increased by 39% since 2004, to about 2.5 million households in 2012.

334

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

335

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

336

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

337

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

338

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.

339

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

340

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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

342

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

343

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

344

Household Energy Expenditure and Income Groups: Evidence from Great Britain  

E-Print Network (OSTI)

and 0.024 for districtheatingHowever,asincomeisnotobserveditseffectcannotbeanalysed. Wuetal.(2004)examinethedemandforspaceheatinginArmenia,Moldova,and Kyrgyz Republic using household survey data. In these countries... andinsomeregionsincomesarenotsufficientto affordspaceheatingfromdistrictheatingsystemsmakingthesesystemsunviable. 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

345

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

346

A Glance at Chinas Household Consumption  

SciTech Connect

Known for its scale, China is the most populous country with the worlds 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

347

EIA Short-Term and Winter Fuels Outlook - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Richard Newell, NASEO Winter Fuels Conference, October 2010 2 Overview EIA expects average heating bills to be 3% higher this winter than last

348

Property:CoolingTowerWaterUseWinterConsumed | Open Energy Information  

Open Energy Info (EERE)

search Property Name CoolingTowerWaterUseWinterConsumed Property Type Number Description Cooling Tower Water use (winter average) (afday) Consumed. Retrieved from "http:...

349

Practical Guide to Vegetable Oil ProcessingChapter 10 Winterization and Fractionation  

Science Conference Proceedings (OSTI)

Practical Guide to Vegetable Oil Processing Chapter 10 Winterization and Fractionation Processing eChapters Processing Press Downloadable pdf of Chapter 10 Winterization and Fractionation from the book ...

350

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

351

Solar and Daytime Infrared Irradiance during Winter Chinooks  

Science Conference Proceedings (OSTI)

Chinook winds bring unseasonably warm temperatures to southern Alberta in the winter. They also melt the snow and evaporate, the surface and near surface soil water. Hitherto, the warmth of the wind had almost exclusively been linked to the ...

Lawrence C. Nkemdirim

1990-03-01T23:59:59.000Z

352

VortexVortex Interactions in the Winter Stratosphere  

Science Conference Proceedings (OSTI)

This paper examines the interaction of oppositely signed vortices in the compressible (non-Boussinesq) quasigeostrophic system, with a view to understanding vortex interactions in the polar winter stratosphere. A series of simplifying ...

R. K. Scott; D. G. Dritschel

2006-02-01T23:59:59.000Z

353

Winter North Atlantic Oscillation Hindcast Skill: 19002001  

Science Conference Proceedings (OSTI)

Recent proposed seasonal hindcast skill estimates for the winter North Atlantic Oscillation (NAO) are derived from different lagged predictors, NAO indices, skill assessment periods, and skill validation methodologies. This creates confusion ...

Christopher G. Fletcher; Mark A. Saunders

2006-11-01T23:59:59.000Z

354

Oscillating relationship between the East Asian winter monsoon and ENSO  

Science Conference Proceedings (OSTI)

This work investigates the interdecadal variations of the relationship between the El Nio-Southern Oscillation (ENSO) and the East Asian winter monsoon (EAWM); further explores possible mechanisms and finally considers a recent switch in the ENSO-...

Shengping He; Huijun Wang

355

EA-1894: Albeni Falls Flexible Winter Lake Operations, Bonner, Idaho |  

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

EA-1894: Albeni Falls Flexible Winter Lake Operations, Bonner, EA-1894: Albeni Falls Flexible Winter Lake Operations, Bonner, Idaho EA-1894: Albeni Falls Flexible Winter Lake Operations, Bonner, Idaho Summary DOE's Bonneville Power Administration and the U.S. Army Corps of Engineers, as co-lead Federal agencies, prepared this EA to evaluate the potential environmental impacts of a proposal to operate Albeni Falls dam during the winter months (approximately December 15th to March 31st) and determine whether the existing Columbia River System Operation Review EIS (DOE/EIS-0170) is adequate or a supplemental or new EIS is required. For more information about this project, see: http://efw.bpa.gov/environmental_services/Document_Library/AFD-FWPO/ http://efw.bpa.gov/environmental_services/Document_Library/System_Operation/ (Link

356

Aircraft Icing Measurements in East Coast Winter Storms  

Science Conference Proceedings (OSTI)

Analysis of the aircraft icing environments of East Coast winter storms have been made from 3 1 flights duringthe second Canadian Atlantic Storms Program. Microphysical parameters have been summarized and are compared to common icing intensity ...

Stewart G. Cober; George A. Isaac; J. W. Strapp

1995-01-01T23:59:59.000Z

357

Distinct Modes of the East Asian Winter Monsoon  

Science Conference Proceedings (OSTI)

Two distinct modes of the East Asian winter monsoon (EAWM) have been identified, and they correspond to real and imaginary parts of the leading mode of the EAWM, respectively. Analyses of these modes used the National Centers for Environment ...

Bingyi Wu; Renhe Zhang; Rosanne DArrigo

2006-08-01T23:59:59.000Z

358

Band Formation in a New England Winter Storm  

Science Conference Proceedings (OSTI)

This case study addresses mechanisms of band formation in a New England winter storm. The structure of the bands and their environment are documented with synoptic observations, radar data, and analyses of instrumented aircraft flights through ...

Dawn G. Wolfsberg; Kerry A. Emanuel; Richard E. Passarelli

1986-08-01T23:59:59.000Z

359

Heat Budget of the Siberian High and the Winter Monsoon  

Science Conference Proceedings (OSTI)

The heat budget of the Siberian high is investigated by using a compositing method. Ninteen cases of strong Siberian highs that moved over China from the northwest were selected from datasets covering five winters (December through February of ...

Yihui Ding; T. N. Krishnamurti

1987-10-01T23:59:59.000Z

360

Rossby Wave Propagation and Teleconnection Patterns in the Austral Winter  

Science Conference Proceedings (OSTI)

Observational evidence of and theoretical support for the Northern and Southern Hemisphere teleconnection patterns in the austral (Southern Hemisphere) winter are examined through an upper troposphere streamfunction teleconnectivity map and time-...

Trcio Ambrizzi; Brian J. Hoskins; Huang-Hsiung Hsu

1995-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

The Zonal Asymmetry of the Southern Hemisphere Winter Storm Track  

Science Conference Proceedings (OSTI)

Atmospheric general circulation model experiments have been performed to investigate how the significant zonal asymmetry in the Southern Hemisphere (SH) winter storm track is forced by sea surface temperature (SST) and orography. An experiment ...

Masaru Inatsu; Brian J. Hoskins

2004-12-01T23:59:59.000Z

362

Understanding Utah Winter Storms: The Intermountain Precipitation Experiment  

Science Conference Proceedings (OSTI)

Winter storms and their prediction are of increasing importance throughout the region of the United States with the fastest growing population, the Intermountain West. Such storms can produce heavy orographic snowfall, lake-effect snowbands, and ...

David M. Schultz; W. James Steenburgh; R. Jeffrey Trapp; John Horel; David E. Kingsmill; Lawrence B. Dunn; W. David Rust; Linda Cheng; Aaron Bansemer; Justin Cox; John Daugherty; David P. Jorgensen; Jos Meitn; Les Showell; Bradley F. Smull; Keli Tarp; Marilu Trainor

2002-02-01T23:59:59.000Z

363

A Further Study of Spectral Energetics in the Winter Atmosphere  

Science Conference Proceedings (OSTI)

The contributions of standing (time-mean) and transient (time-departure) waves to the atmospheric spectral energetics are analyzed using the NMC (National Meteorological Center) data of winter 19761977. It is found that the standing long waves ...

Tsing-Chang Chen

1982-08-01T23:59:59.000Z

364

Atmospheric Ice Crystals over the Antarctic Plateau in Winter  

Science Conference Proceedings (OSTI)

Falling ice crystals were collected daily on a gridded glass slide at South Pole Station, Antarctica, during the Antarctic winter of 1992 and were photographed through a microscope. Nine types of ice crystals are identified, which fall into three ...

Von P. Walden; Stephen G. Warren; Elizabeth Tuttle

2003-10-01T23:59:59.000Z

365

National FCEV Learning Demonstration: Winter 2011 Composite Data Products  

DOE Green Energy (OSTI)

This presentation from the U.S. Department of Energy's National Renewable Energy Laboratory includes the composite data products produced in Winter 2011 as part of the National Fuel Cell Electric Vehicle (FCEV) Learning Demonstration.

Wipke, K.; Sprik, S.; Kurtz, J.; Ramsden, T.; Ainscough, C.; Saur, G.

2012-01-01T23:59:59.000Z

366

Precipitation Types in the Transition Region of Winter Storms  

Science Conference Proceedings (OSTI)

Winter storms often produce snow, freezing rain, and ice pellets. The characteristics and formation of these forms of precipitation as well as their location within storms are reviewed. Phenomena such as accretion and fog can be related to this ...

Ronald E. Stewart

1992-03-01T23:59:59.000Z

367

Temperature Effects on the Winter Daily Electric Load  

Science Conference Proceedings (OSTI)

Here we describe the relationship between average daily temperature and winter-daily electric load, as ascertained on the largest electric district in Italy. In particular, it is shown that a sudden 6C temperature decrease (not a rare event) ...

Paolo Bolzern; Giorgio Fronza; Giuseppe Brusasca

1982-02-01T23:59:59.000Z

368

Proceedings of the 40th Conference on Winter Simulation  

Science Conference Proceedings (OSTI)

The Winter Simulation Conference (WSC) is recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation. WSC is always located in stimulating locations, and in 2008 we are delighted ...

Thomas Jefferson; John W. Fowler; Ricki G. Ingalls; Scott Mason; Ray Hill; Lars Mnch; Oliver Rose

2008-12-01T23:59:59.000Z

369

Proceedings of the 38th conference on Winter simulation  

Science Conference Proceedings (OSTI)

The Winter Simulation Conference (WSC) is recognized as the premiere international conference for simulation professionals in discrete and combined discrete-continuous simulation; WSC is always located in stimulating locations, in 2006 we are delighted ...

L. Felipe Perrone; Barry G. Lawson; Jason Liu; Frederick P. Wieland; David Nicol; Richard Fujimoto

2006-12-01T23:59:59.000Z

370

Australian Winter Mountain Storm Clouds: Precipitation Augmentation Potential  

Science Conference Proceedings (OSTI)

Two Australian winter mountain storm field research projects were conducted by the Commonwealth Scientific and Industrial Research Organisation Division of Atmospheric Research and the Desert Research Institute Atmospheric Sciences Center in the ...

Alexis B. Long; Elizabeth J. Carter

1996-09-01T23:59:59.000Z

371

Using Wind Anomalies to Forecast East Coast Winter Storms  

Science Conference Proceedings (OSTI)

Forecasting major winter storms is a critical function for all weather services. Conventional model-derived fields from numerical weather prediction models most frequently utilized by operational forecasters, such as pressure level geopotential ...

Neil A. Stuart; Richard H. Grumm

2006-12-01T23:59:59.000Z

372

Distillate Stocks Are Important Part of Northeast Winter Supply  

U.S. Energy Information Administration (EIA)

... PADD 1 stocks provided about 15% of supply during the peak winter months of January and ... the Northeast saw the unusual heating oil and diesel price surges as a ...

373

A Climatic Classification for Citrus Winter Survival in China  

Science Conference Proceedings (OSTI)

The citrus tree is susceptible to frost damage. Winter injury to citrus from freezing weather is the major meteorological problem in the northern pail of citrus growing regions in China. Based on meteorological data collected at 120 stations in ...

Huang Shou Bo

1991-05-01T23:59:59.000Z

374

Modeling the Winter Urban Heat Island Over Christchurch, New Zealand  

Science Conference Proceedings (OSTI)

An energy balance model is presented and tested against surface temperature fields observed over Christchurch under clear winter conditions. The fit between observed and simulated fields is shown to be close by night and slightly less so by day. ...

N. J. Tapper; P. D. Tyson; I. F. Owens; W. J. Hastie

1981-04-01T23:59:59.000Z

375

Propagating Atmospheric Patterns Associated with Midwest Winter Precipitation  

Science Conference Proceedings (OSTI)

For winters over eastern North America, complex Hilbert empirical orthogonal function (HEOF) analysis was used to objectively identify propagating patterns in four atmospheric fields that have potential relevance to precipitation: jet streamlevel ...

Courtenay Strong; Jessica Liptak

2012-08-01T23:59:59.000Z

376

Multiscale Structure and Evolution of an Oklahoma Winter Precipitation Event  

Science Conference Proceedings (OSTI)

A significant winter precipitation event occurred on 89 March 1994 in Oklahoma. Snow accumulations greater than 30 cm (12 in.) were measured within a narrow corridor in northern Oklahoma. On the synoptic scale and mesoscale, a correspondence ...

R. Jeffrey Trapp; David M. Schultz; Alexander V. Ryzhkov; Ronald L. Holle

2001-03-01T23:59:59.000Z

377

TransForum - Volume 10, No. 3 - Winter 2010  

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

aprf.html Auto X Prize website: www.progressiveautoxprize.org Electric cars at smart grid charging stations outside Argonne's APRF 19 TransForum 8 Winter 2010 10 19 RESEARCH...

378

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

379

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.

380

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

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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

382

Californias 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

383

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 ...

384

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.Households Choice of Appliance Efficiency Level. Review of

Dale, Larry

2008-01-01T23:59:59.000Z

385

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 ...

386

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

387

Ground Water Quality and Riparian Enhancement Projects in Sherman County, Oregon; Coordination and Technical Assistance, 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

This project was designed to provide technical assistance and project coordination to producers in Sherman County for on the ground water quality and riparian enhancement projects. This is accomplished utilizing the USDA Conservation Reserve Enhancement Program (CREP) in addition to other grant monies to translate the personnel funds in this project to on the ground projects. Two technicians and one watershed council coordinator are funded, either wholly or in part, by funds from this grant. The project area encompasses the whole of Sherman County which is bordered almost entirely by streams providing habitat or migration corridors for endangered fish species including steelhead and Chinook salmon. Of those four streams that comprise Sherman County's boundaries, three are listed on the DEQ 303(d) list of water quality limited streams for exceeding summer temperature limits. Only one stream in the interior of Sherman County is 303(d) listed for temperatures, but is the largest watershed in the County. Temperatures in streams are directly affected by the amount of solar radiation allowed to reach the surface of the water. Practices designed to improve bank-side vegetation, such as the CREP program, will counteract the solar heating of those water quality listed streams, benefiting endangered stocks. CREP and water quality projects are promoted and coordinated with local landowners through locally-led watershed councils. Funding from BPA provides a portion of the salary for a watershed council coordinator who acts to disseminate water quality and USDA program information directly to landowners through watershed council activities. The watershed coordinator acts to educate landowners in water quality and riparian management issues and to secure funds for the implementation of on the ground water quality projects. Actual project implementation is carried out by the two technicians funded by this project. Technicians in Sherman County, in cooperation with the USDA Natural Resources Conservation Service, assist landowners in developing Resource Management Systems (RMS) that address resource concerns in a specified land unit. These RMS plans are developed using a nine step planning process that acts to balance natural resource issues with economic and social needs. Soil, Water, Air, Plants, Animals, and Human resource concerns are the core focus in developing a framework for improving the efficiency and effectiveness of conservation activities in a given planning unit, while working within the guidelines set forth by the National Environmental Policy Act (NEPA), Clean Water Act (CWA), Endangered Species Act (ESA), Magnuson-Stevens Act (MSA), National Historic Preservation Act (NHPA), and other federal, state, and local laws. Implementation of this project has provided technical and implementation assistance for numerous on the ground projects, including over 50 WASCBs, several thousand feet of terraces, numerous spring developments, fencing, 7 implemented CREP contracts, and the development of 8 additional CREP projects slated for enrollment at the beginning of FY '05. Within the past contract year in Sherman County, 589.4 acres of CREP have been enrolled protecting 30.8 miles of riparian habitat. In addition to the increase in on the ground projects, coordination and outreach to solicit conservation projects in Sherman County has increased due to the additional staffing provided by BPA funds. As a result there is an abundance of potential conservation projects for water quality and riparian management improvement. With the sustained availability of coordination and technical assistance provided through this grant, BPA personnel funds will translate to a much higher dollar figure applied on the ground. This project has been very successful in keeping up with the demand for conservation projects within Sherman County.

Faucera, Jason (Sherman County Soil and Water Conservation District, Sherman County, OR)

2004-05-01T23:59:59.000Z

388

Re-Introduction of Lower Columbia River Chum Salmon into Duncan Creek, 2003-2004 Annual Report.  

Science Conference Proceedings (OSTI)

Currently, two methods of reintroduction are being simultaneously evaluated at Duncan Creek. Recolonization is occurring by introducing adult chum salmon from the Lower Gorge (LG) population into Duncan Creek and allowing them to naturally reproduce. The supplementation strategy required adults to be collected and artificially spawned, incubated, reared, and released at the mouth of Duncan Creek. All eggs from the artificial crossings at Washougal Hatchery were incubated and the fry reared to release size at the hatchery. The Duncan Creek chum salmon project was very successful in 2003-04, providing knowledge and experience that will improve program execution in future years. The gear used to collect adult brood stock was changed from tangle nets to beach seines. This increased efficiency and the speed at which adults could be processed in the field, and most likely reduced stress on the adults handled. Certain weaknesses exposed in past seasons still exist and new ones were exposed (e.g. inadequate incubation and rearing space at Washougal Hatchery for any large salvage operation and having to move the rearing troughs outside the raceway in 2004). Egg-to-fry survival rates of 64% and 58% showed that the channels are functioning at the upper end of what can be expected from them. Possibly the most important event this season was the ability to strontium mark and release all naturally-produced fry from the spawning channels. Channel and floodplain modifications reduced the likelihood that floods will damage the channels and negatively impact survival rates.

Hillson, Todd D. (Washington Department of Fish and Wildlife, Olympia, WA)

2004-09-01T23:59:59.000Z

389

White Sturgeon Mitgation and Restoration in the Columbia and Snake Rivers Upstream from Bonneville Dam; 2003-2004 Annual Report.  

DOE Green Energy (OSTI)

We report on our progress from April 2003 through March 2004 on determining the effects of mitigative measures on productivity of white sturgeon populations in the Columbia River downstream from McNary Dam, and on determining the status and habitat requirements of white sturgeon populations in the Columbia and Snake rivers upstream from McNary Dam. This is a multi-year study with many objectives requiring more than one year to complete; therefore, findings from a given year may be part of more significant findings yet to be reported.

Rein, Thomas A.; Hughes, Michele L.; Kern, J. Chris (Oregon Department of Fish and Wildlife, Clackamas, OR)

2005-08-01T23:59:59.000Z

390

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

391

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.

392

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

393

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

394

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

395

Sizing Wind/Photovoltaic Hybrids for Households in Inner Mongolia  

DOE Green Energy (OSTI)

Approximately 140,000 wind turbines currently provide electricity to about one-third of the non-grid-connected households in Inner Mongolia. However, these households often suffer from a lack of power during the low-wind summer months. This report describes an analysis of hybrid wind/photovoltaic (PV) systems for such households. The sizing of the major components is based on a subjective trade-off between the cost of the system and the percent unmet load, as determined by the Hybrid 2 software in conjunction with a simplified time-series model. Actual resource data (wind speed and solar radiation) from the region are processed so as to best represent the scenarios of interest. Small wind turbines of both Chinese and U.S. manufacture are considered in the designs. The results indicate that combinations of wind and PV are more cost-effective than either one alone, and that the relative amount of PV in the design increases as the acceptable unmet load decreases and as the average wind sp eed decreases.

Barley, C. D.; Lew, D. J.; Flowers, L. T.

1997-06-01T23:59:59.000Z

396

Walkin' in a Winter Wonderland | Department of Energy  

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

Walkin' in a Winter Wonderland Walkin' in a Winter Wonderland Walkin' in a Winter Wonderland December 6, 2011 - 4:24pm Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy It's that time again. It's "X shopping days until Christmas," you're maybe a touch stressed from trying to get a lot of work done despite holiday parties and shopping trips, and, to top it off, it's cold out. If you're reading this, you're probably familiar with our Stay Warm Save Money seasonal campaign. We've been sending out energy saving tips for the changing season for years now; we hope you've been able (and willing) to take advantage of that information. If you have, that's great! If you haven't, well, when you take that shopping trip, it might be time to look for a few stocking stuffers:

397

ARM - Field Campaign - Arctic Winter Water Vapor IOP  

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

govCampaignsArctic Winter Water Vapor IOP govCampaignsArctic Winter Water Vapor IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Arctic Winter Water Vapor IOP 2004.03.09 - 2004.04.09 Lead Scientist : Ed Westwater Data Availability http://www.etl.noaa.gov/programs/2004/wviop/data will contain quicklooks of all of the data. For data sets, see below. Summary During the IOP, the Ground-based Scanning Radiometer of NOAA/ETL, and the ARM MicroWave Radiometer and Microwave Profiler, yielded excellent data over a range of conditions. In all, angular-scanned and calibrated radiometric data from 22.345 to 380 GHz were taken. The Precipitable Water Vapor varied about an order of magnitude from 1 to 10 mm, and surface temperatures varied from about -10 to -40 deg. Celcius. Vaisala RS90

398

Are You Keeping Warm This Winter? | Department of Energy  

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

Are You Keeping Warm This Winter? Are You Keeping Warm This Winter? Are You Keeping Warm This Winter? January 23, 2013 - 4:33pm Addthis An efficient heater can save money and energy while keeping you warmer. | Photo by Dennis Schroeder, NREL 20288. An efficient heater can save money and energy while keeping you warmer. | Photo by Dennis Schroeder, NREL 20288. Elizabeth Spencer Communicator, National Renewable Energy Laboratory How can I participate? Get an energy audit and learn about your heating options to warm your home while saving money. Last week, I turned on the weather forecast to find that the entire central United States was hovering somewhere between 5 and 20 degrees. Talk about frigid! I've lived all over the country, and I know how incredibly miserable it is to do anything when the high barely ekes above 0 degrees

399

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

Stocks are normally an important part of East Coast winter Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

400

Are You Keeping Warm This Winter? | Department of Energy  

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

Are You Keeping Warm This Winter? Are You Keeping Warm This Winter? Are You Keeping Warm This Winter? January 23, 2013 - 4:33pm Addthis An efficient heater can save money and energy while keeping you warmer. | Photo by Dennis Schroeder, NREL 20288. An efficient heater can save money and energy while keeping you warmer. | Photo by Dennis Schroeder, NREL 20288. Elizabeth Spencer Communicator, National Renewable Energy Laboratory How can I participate? Get an energy audit and learn about your heating options to warm your home while saving money. Last week, I turned on the weather forecast to find that the entire central United States was hovering somewhere between 5 and 20 degrees. Talk about frigid! I've lived all over the country, and I know how incredibly miserable it is to do anything when the high barely ekes above 0 degrees

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

ARM - Field Campaign - Winter 1994 Single Column Model IOP  

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

govCampaignsWinter 1994 Single Column Model IOP govCampaignsWinter 1994 Single Column Model IOP Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : Winter 1994 Single Column Model IOP 1994.01.01 - 1994.01.31 Lead Scientist : David Randall Data Availability Data Plots from Colorado State University Data Plots from Livermore National Laboratory Actual data files for a number of past SCM IOPs are available from the ARM Archive. For data sets, see below. Description These seasonal SCM IOPs are conducted at the Southern Great Plains to enhance the frequency of observations for SCM uses, particularly vertical soundings of temperature, water vapor, and winds. The SCM IOPs are conducted for a period of 21 days. During that time, radiosondes are launched at the Central Facility and the four boundary facilities eight

402

Winter fuels report. Week ending, October 21, 1994  

Science Conference Proceedings (OSTI)

Demand for distillate fuel oil is expected to show a slight decline this winter (October 1, 1994-March 31, 1995) from last, according to the Energy Information Administration`s (EIA) 4th Quarter 1994 Short-Term Energy Outlook (STEO) Mid-World Oil Price Case forecast. EIA projects winter demand to decline one percent to 3.3 million barrels per day, assuming normal weather conditions. The effects of expected moderate growth in the economy and industrial production will likely be offset by much warmer temperatures than those a year ago. EIA projects prices for both residential heating oil and diesel fuel to be moderately higher than prices last winter. Increases are likely, primarily because crude oil prices are expected to be higher than they were a year earlier (Table FE5).

Zitomer, M.; Griffith, A.; Zyren, J.

1994-10-01T23:59:59.000Z

403

Microsoft Word - DSQ Winter 2010_15mar10.doc  

National Nuclear Security Administration (NNSA)

Winter 2010 Winter 2010 Comments Questions or comments regarding the Defense Science Quarterly should be directed to Terri Batuyong, NA-121.1 (Terri.Batuyong@nnsa.doe.gov). Technical Editor: Christina Coulter Defense Science Quarterly Inside This Issue 1 Message from the Director 2 Recent Stockpile Stewardship Relevant Experiments on the National Ignition Facility 3 High-Resolution UV Holography Lens for Particle Size Distribution Measurements 4 2009 Dawson Award of Excellence 4 NSTec Livermore Operations Energy Milestone 5 H3837: DARHT's First Dual-Axis Shot 5 NLUF Experiment Published in Astrophysical Journal 6 Publication Highlights 7 2010 Stockpile Stewardship Academic Alliance Symposium 8 Stewardship Science Graduate Fellowship Program

404

Physics 116A Winter 2011 The Alternating Series Test  

E-Print Network (OSTI)

Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = # # n=0 (-1) n a n , (1) where all the a n > 0. The alternating series test but property 1 and/or property 2 do not hold, then the alternating series test is inconclusive. Note

California at Santa Cruz, University of

405

Physics 116A Winter 2011 The Alternating Series Test  

E-Print Network (OSTI)

Physics 116A Winter 2011 The Alternating Series Test An alternating series is defined to be a series of the form: S = n=0 (-1)n an , (1) where all the an > 0. The alternating series test is a set and/or property 2 do not hold, then the alternating series test is inconclusive. Note that property 1

California at Santa Cruz, University of

406

A Dynamical Index for the East Asian Winter Monsoon  

Science Conference Proceedings (OSTI)

A new index measuring the East Asian winter monsoon is defined using the mean wind shears of upper-tropospheric zonal wind based on the belief that the physical processes of both higher and lower latitudes, and at both lower and upper troposphere,...

Yueqing Li; Song Yang

2010-08-01T23:59:59.000Z

407

Analysis and Simulation of a Winter Storm over Utah  

Science Conference Proceedings (OSTI)

The evolution of a major winter storm over Utah during 67 January 1992 is analyzed using surface and upper-air observations and satellite imagery. A mesoscale model is used to deduce the dynamical processes that took place during the storm. ...

John D. Horel; Chris V. Gibson

1994-12-01T23:59:59.000Z

408

Intraseasonal Atmospheric Teleconnection Patterns during the Northern Hemisphere Winter  

Science Conference Proceedings (OSTI)

The time-longitude cross section of 3060 day filtered equatorial outgoing longwave radiation indicates many occasions or irregular (or even westward) movement during the five winters of 197984. Such occasions are defined as NE phase, while ...

Takio Murakami

1988-02-01T23:59:59.000Z

409

Weather Support for the 2002 Winter Olympic and Paralympic Games  

Science Conference Proceedings (OSTI)

The 2002 Winter Olympic and Paralympic Games will be hosted by Salt Lake City, Utah, during February-March 2002. Adverse weather during this period may delay sporting events, while snow and ice-covered streets and highways may impede access by ...

J. Horel; T. Potter; L. Dunn; W. J. Steenburgh; M. Eubank; M. Splitt; D. J. Onton

2002-02-01T23:59:59.000Z

410

Ocean Heat Flux in the Central Weddell Sea during Winter  

Science Conference Proceedings (OSTI)

Seasonal sea ice, which plays a pivotal role in airsea interaction in the Weddell Sea (a region of large deep-water formation with potential impact on climate), depends critically on heat flux from the deep ocean. During the austral winter of ...

Miles G. McPhee; Christoph Kottmeier; James H. Morison

1999-06-01T23:59:59.000Z

411

Gravitational Character of Cold Surges during Winter MONEX  

Science Conference Proceedings (OSTI)

The surface pressure, temperature, dew point and wind data over the South China Sea and vicinity during Winter MONEX are examined to determine the timing of the passage of cold surges at various reporting stations. It is found that for more than ...

C-P. Chang; J. E. Millard; G. T. J. Chen

1983-02-01T23:59:59.000Z

412

Winter and Summer Northern Hemisphere Blocking in CMIP5 Models  

Science Conference Proceedings (OSTI)

The frequencies of atmospheric blocking in both winter and summer and the changes in them from the twentieth to the twenty-first centuries as simulated in 12 models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) are analyzed. ...

Giacomo Masato; Brian J. Hoskins; Tim Woollings

2013-09-01T23:59:59.000Z

413

yale environmental news winter 2008 vol. 13, no. 1  

E-Print Network (OSTI)

standards for Yale projects; the purchase of hybrid vehicles; and the placement of thin film photovoltaicyale environmental news winter 2008 · vol. 13, no. 1 The Yale Peabody Museum of Natural History; and achieving a 10% yearly reduction in electricity use in the resi- dential colleges. Yale students and others

414

Surface Features of Winter Monsoon Surges over South China  

Science Conference Proceedings (OSTI)

The surface features associated with two kinds of winter monsoon surges over south China are studied: the easterly surge (ES) and the northerly surge (NS). Surface meteorological parameters over the region 1550N, 90130E for the surges that ...

M. C. Wu; Johnny C. L. Chan

1995-03-01T23:59:59.000Z

415

The Skill of Extended-Range Extratropical Winter Dynamical Forecasts  

Science Conference Proceedings (OSTI)

The global T42 version of the French numerical weather prediction model has been used to produce monthly mean forecasts. A study based on 21 cases of 44-day forecasts (for winter months from 1983 to 1990) is presented. Nine forecasts in this ...

M. Dqu; J. F. Royer

1992-11-01T23:59:59.000Z

416

Indoor Secondary Pollutants from Household Product Emissions in the  

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

Indoor Secondary Pollutants from Household Product Emissions in the Indoor Secondary Pollutants from Household Product Emissions in the Presence of Ozone: A Bench-Scale Chamber Study Title Indoor Secondary Pollutants from Household Product Emissions in the Presence of Ozone: A Bench-Scale Chamber Study Publication Type Journal Article LBNL Report Number LBNL-58785 Year of Publication 2006 Authors Destaillats, Hugo, Melissa M. Lunden, Brett C. Singer, Beverly K. Coleman, Alfred T. Hodgson, Charles J. Weschler, and William W. Nazaroff Journal Environmental Science and Technology Volume 40 Start Page Chapter Pagination 4421-4428 Abstract Ozone-driven chemistry is a major source of indoor secondary pollutants of health concern. This study investigates secondary air pollutants formed from reactions between constituents of household products and ozone. Gas-phase product emissions were introduced along with ozone at constant rates into a 198-L Teflon-lined reaction chamber. Gas-phase concentrations of reactive terpenoids and oxidation products were measured. Formaldehyde was a predominant oxidation byproduct for the three studied products, with yields under most conditions of 20-30% with respect to ozone consumed. Acetaldehyde, acetone, glycolaldehyde, formic acid and acetic acid were each also detected for two or three of the products. Immediately upon mixing of reactants, a scanning mobility particle sizer detected particle nucleation events that were followed by a significant degree of ultrafine particle growth. The production of secondary gaseous pollutants and particles depended primarily on the ozone level and was influenced by other parameters such as the air-exchange rate. Hydroxyl radical concentrations in the range 0.04-200 × 105 molecules cm-3 were measured. OH concentrations were observed to vary strongly with residual ozone level in the chamber, which was in the range 1 - 25 ppb, as is consistent with expectations from a simplified kinetic model. In a separate test, we exposed the dry residue of two products to ozone in the chamber and observed the formation of gas-phase and particle-phase secondary oxidation products

417

Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household  

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

1: January 5, 1: January 5, 2004 Number of Household Vehicles has Grown Significantly to someone by E-mail Share Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Facebook Tweet about Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Twitter Bookmark Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Google Bookmark Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Delicious Rank Vehicle Technologies Office: Fact #301: January 5, 2004 Number of Household Vehicles has Grown Significantly on Digg Find More places to share Vehicle Technologies Office: Fact #301:

418

Weather Support to Deicing Decision Making (WSDDM): A Winter Weather Nowcasting System  

Science Conference Proceedings (OSTI)

This paper describes a winter weather nowcasting system called Weather Support to Deicing Decision Making (WSDDM), designed to provide airline, airport, and air traffic users with winter weather information relevant to their operations. The ...

Roy Rasmussen; Mike Dixon; Frank Hage; Jeff Cole; Chuck Wade; John Tuttle; Starr McGettigan; Thomas Carty; Lloyd Stevenson; Warren Fellner; Shelly Knight; Eli Karplus; Nancy Rehak

2001-04-01T23:59:59.000Z

419

What I Do to Save Energy and Money in the Winter | Department...  

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

What I Do to Save Energy and Money in the Winter What I Do to Save Energy and Money in the Winter October 27, 2009 - 8:00am Addthis Chris Stewart Senior Communicator at DOE's...

420

What caused the winter drought in Western Nepal during recent years?  

Science Conference Proceedings (OSTI)

Western Nepal has experienced consecutive and worsened winter drought conditions since 2000 culminating in a severe drought episode during 2008-2009. In this study, the meteorological conditons and a historical pespective of the winter droughts in ...

Shih-Yu Wang; Jin-Ho Yoon; Robert R. Gillies; Changrae Cho

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

What Caused the Winter Drought in Western Nepal during Recent Years?  

Science Conference Proceedings (OSTI)

Western Nepal has experienced consecutive and worsening winter drought conditions since 2000, culminating in a severe drought episode during 2008/09. In this study, the meteorological conditions and a historical perspective of the winter droughts ...

Shih-Yu Wang; Jin-Ho Yoon; Robert R. Gillies; Changrae Cho

2013-11-01T23:59:59.000Z

422

Can a Convective Cloud Feedback Help to Eliminate Winter Sea Ice at High CO2 Concentrations?  

Science Conference Proceedings (OSTI)

Winter sea ice dramatically cools the Arctic climate during the coldest months of the year and may have remote effects on global climate as well. Accurate forecasting of winter sea ice has significant social and economic benefits. Such ...

Dorian S. Abbot; Chris C. Walker; Eli Tziperman

2009-11-01T23:59:59.000Z

423

Contemporaneous Relationships between Global Radiation and Heating Degree Days during Severe Winters in the United States  

Science Conference Proceedings (OSTI)

The global radiation climate associated with anomalously cold winter months and cold winters is analyzed for the contiguous United States. The radiation data consist of rehabilitated measured and modeled monthly values of global radiation on both ...

Thomas R. Karl; Frank T. Quinlan

1984-03-01T23:59:59.000Z

424

A Parameterization of the Microphysical Processes Forming Many Types of Winter Precipitation  

Science Conference Proceedings (OSTI)

Several types of precipitation, such as freezing rain, ice pellets, and wet snow, are commonly observed during winter storms. The objective of this study is to better understand the formation of these winter precipitation types. To address this ...

Julie M. Thriault; Ronald E. Stewart

2010-05-01T23:59:59.000Z

425

A Simulation of the Winter and Summer Circulations with the NMC Global Spectral Model  

Science Conference Proceedings (OSTI)

The medium range forecast model of the National Meteorological Center (NMC) has been integrated to produce winter and summer simulations. For the winter simulation, the model was initialized with the NMC analysis of 1200 UTC 15 December 1985 and ...

J. L. Kinter III; J. Shukla; L. Marx; E. K. Schneider

1988-09-01T23:59:59.000Z

426

Analysis of Precipitation Augmentation Potential in Winter Orographic Clouds by Use of Aircraft Icing Reports  

Science Conference Proceedings (OSTI)

Aircraft icing reports from northern Utah and southeastern Idaho along with radiosonde and precipitation data for six winter seasons are utilized in an analysis of precipitation augmentation potential in winter orographic clouds. According to ...

Geoffrey E. Hill

1982-02-01T23:59:59.000Z

427

Modeled winter sea ice variability and the North Atlantic Oscillation: a multi-century perspective  

E-Print Network (OSTI)

leading mode in a coupled sea ice-ocen model. J Clim 16:009-0550-7 Modeled winter sea ice variability and the Northrelationship between winter sea ice vari- ability and the

Strong, Courtenay; Magnusdottir, Gudrun

2010-01-01T23:59:59.000Z

428

Australian Winter Storms Experiment (AWSE) I: Supercooled Liquid Water and Precipitation-Enhancement Opportunities  

Science Conference Proceedings (OSTI)

Some results of the first (1988) Australian Winter Storms Experiment are described. The results shed light on precipitation-enhancement opportunities in winter cyclonic storms interacting with the Great Dividing Range of southeast Australia. The ...

Alexis B. Long; Arlen W. Huggins

1992-09-01T23:59:59.000Z

429

Comments on An Operational Ingredients-Based Methodology for Forecasting Midlatitude Winter Season Precipitation  

Science Conference Proceedings (OSTI)

Wetzel and Martin present an ingredients-based methodology for forecasting winter season precipitation. Although they are to be commended for offering a framework for winter-weather forecasting, disagreements arise with some of their specific ...

David M. Schultz; John V. Cortinas Jr.; Charles A. Doswell III

2002-02-01T23:59:59.000Z

430

Objective Winter Temperature Forecasts: An Update and Extension to the Western United States  

Science Conference Proceedings (OSTI)

This study expands on previous studies (Harnack and Landsberg, 1978; Harnack, 1979) in that objective, statistical winter temperature forecast models are tested and verified for three additional winters (197981); models have been formulated and ...

Robert P. Harnack

1982-04-01T23:59:59.000Z

431

Extreme Cold Winter Temperatures in Europe under the Influence of North Atlantic Atmospheric Blocking  

Science Conference Proceedings (OSTI)

North Atlantic atmospheric blocking conditions explain part of the winter climate variability in Europe, being associated with anomalous cold winter temperatures. In this study, the generalized extreme value (GEV) distribution is fitted to monthly ...

Jana Sillmann; Mischa Croci-Maspoli; Malaak Kallache; Richard W. Katz

2011-11-01T23:59:59.000Z

432

Significant Winter Weather Events and Associated Socioeconomic Impacts (Federal Aid Expenditures) across Oklahoma: 200010  

Science Conference Proceedings (OSTI)

Exceptionally severe winter storms that overwhelm local government result in major disaster declarations. Each National Weather Service forecast office in the United States reports winter events for a specific group of counties, known as the ...

Trevor Grout; Yang Hong; Jeffrey Basara; Balabhaskar Balasundaram; Zhenyu Kong; Satish T. S. Bukkapatnam

2012-01-01T23:59:59.000Z

433

Exemplifying Business Opportunities for Improving Data Quality From Corporate Household Research  

E-Print Network (OSTI)

Corporate household (CHH) refers to the organizational information about the structure within the corporation and a variety of inter-organizational relationships. Knowledge derived from this data is ...

Madnick, Stuart

2004-12-10T23:59:59.000Z

434

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 ...

435

Methodology and Estimation of the Welfare Impact of Energy Reforms on Households in Azerbaijan.  

E-Print Network (OSTI)

??ABSTRACT Title of Dissertation: METHODOLOGY AND ESTIMATION OF THE WELFARE IMPACT OF ENERGY REFORMS ON HOUSEHOLDS IN AZERBAIJAN Irina Klytchnikova, Doctor of Philosophy, 2006 Dissertation (more)

Klytchnikova, Irina

2006-01-01T23:59:59.000Z

436

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

U.S. Energy Information Administration (EIA)

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

437

The Other Energy Crisis: Managing Urban Household Energy Use in Senegal  

E-Print Network (OSTI)

for 62 percent of national energy consumption, or over 1 .1energy consumption, and (2) residential, because of the dominant role that households play in national

Leitmann, Josef

1989-01-01T23:59:59.000Z

438

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household...  

Gasoline and Diesel Fuel Update (EIA)

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4 15.9...

439

Table 1. Consumption and Expenditures in U.S. Households, 1997  

U.S. Energy Information Administration (EIA)

A household is assigned to a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station. (5) ...

440

In the UNITED STATES there are 96.6 million households  

U.S. Energy Information Administration (EIA)

In the UNITED STATES there are 96.6 million households 69% are single-family homes; 25% are apartments; and 6% are mobile homes. Housing stock is ...

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

Table 1. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ho ...

442

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.

443

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

444

Table CE1-7c. Total Energy Consumption in U.S. Households by Four ...  

U.S. Energy Information Administration (EIA)

Other Appliances and Lighting ... It does include the small number of households where the fuel for central air-conditioning equipment was something other than ...

445

Household Vehicles Energy Use: Latest Data and Trends - Table A01  

U.S. Energy Information Administration (EIA)

U.S. Per Household Vehicle-Miles Traveled ... and Alternate Fuels, Form EIA-826, "Monthly Electric Utility Sales and Revenue Report with State Distributions."

446

Household Vehicles Energy Use: Latest Data and Trends - Table A01  

U.S. Energy Information Administration (EIA)

Table A1. U.S. Number of Vehicles, Vehicles-Miles, Motor Fuel Consumption and Expenditures, 2001: 2001 Household and Vehicle Characteristics

447

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network (OSTI)

In contrast to a hybrid vehicle whichcombines multiple1994) "Demand Electric Vehicles in Hybrid for Households:or 180 mile hybrid electric vehicle. Natural gas vehicles (

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

448

The impact of physical planning policy on household energy use and greenhouse emissions .  

E-Print Network (OSTI)

??This thesis investigates the impact of physical planning policy on combined transport and dwelling-related energy use by households. Separate analyses and reviews are conducted into (more)

Rickwood, Peter

449

Table AP1. Total Households Using Home Appliances and Lighting by ...  

U.S. Energy Information Administration (EIA)

Total Consumption for Home Appliances and Lighting by Fuels Used, 2005 Quadrillion British Thermal Units (Btu) U.S. Households (millions) Electricity

450

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

451

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

452

Effect of Income on Appliances in U.S. Households, The  

Reports and Publications (EIA)

This web page page entails how people live, the factors that cause the most differences in home lifestyle, including energy use in Geographic Location, Socioeconomics and Household Income.

Michael Laurence

2004-01-01T23:59:59.000Z

453

U.S. household expenditures for gasoline account for nearly 4% of ...  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, ... a rise in average gasoline prices has led to higher overall household gasoline expenditures.

454

Assessing the Environmental Costs and Benefits of Households Electricity Consumption Management.  

E-Print Network (OSTI)

?? In this study the environmental costs and benefits of smart metering technology systems installed in households in Norway have been assessed. Smart metering technology (more)

Segtnan, Ida Lund

2011-01-01T23:59:59.000Z

455

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

E-Print Network (OSTI)

and V. Letschert (2005). Forecasting Electricity Demand in8364 Material World: Forecasting Household ApplianceMcNeil, 2008). Forecasting Diffusion Forecasting Variables

Letschert, Virginie

2010-01-01T23:59:59.000Z

456

An Analysis of the Price Elasticity of Demand for Household Appliances  

E-Print Network (OSTI)

Refrigerators Clothes Washers Dishwashers Economic VariablesWASHERS, AND DISHWASHERS3 Physical Household andclothes washers and dishwashers. In the context of

Dale, Larry

2008-01-01T23:59:59.000Z

457

Table 3. Total Energy Consumption in U.S. Households by ...  

U.S. Energy Information Administration (EIA)

This write-up presents 1997 Residential Energy Consumption and Expenditures by Origin of Householder. In 1997, there were 101.5 million residential ...

458

U.S. household expenditures for gasoline account for nearly 4% ...  

U.S. Energy Information Administration (EIA)

Gasoline expenditures in 2012 for the average U.S. household reached $2,912, or just under 4% of income before taxes, according to EIA estimates.

459

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

SciTech Connect

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

Poyer, D.A.

1992-01-01T23:59:59.000Z

460

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

SciTech Connect

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

Poyer, D.A.

1992-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

A Synoptic Analysis of the Interannual Variability of Winter Cyclone Activity in the Aleutian Low Region  

Science Conference Proceedings (OSTI)

An analysis of cyclone activity in winter associated with years of strong and weak Aleutian low in the North Pacific is presented. From 1958 to 2004, 10 winters with a strong Aleutian low are defined as the strong years, while 8 winters with a ...

Xiaojie Zhu; Jilin Sun; Zhengyu Liu; Qinyu Liu; Jonathan E. Martin

2007-04-01T23:59:59.000Z

462

An evaluation scheme to identify superior cultivars of winter and spring canola  

E-Print Network (OSTI)

An evaluation scheme to identify superior cultivars of winter and spring canola that are suitable for production in the Pacific Northwest. #12;2001 PACIFIC NORTHWEST WINTER CANOLA TRIAL RESULTS Jim B. Davis1 University ABSTRACT A winter rapeseed and canola variety trial with 20 Brassica napus cultivars or advanced

Brown, Jack

463

An evaluation scheme to identify superior cultivars of winter and spring canola  

E-Print Network (OSTI)

An evaluation scheme to identify superior cultivars of winter and spring canola that are suitable-mail: jbrown@uidaho.edu #12;2001-2002 PACIFIC NORTHWEST WINTER CANOLA TRIAL RESULTS Jim B. Davis1 , Jack Brown1 A winter rapeseed and canola variety trial with 21 Brassica napus cultivars or advanced breeding lines

Brown, Jack

464

Comparison of 1983 Great Lakes Winter Weather and Ice Conditions with Previous Years  

Science Conference Proceedings (OSTI)

Winter 1983 was one of the mildest winters in the past 200 years. One result of the unusual winter weather was the mildest overall ice season on the Great Lakes since systematic observations of ice cover extent on the Lakes were initiated some 20-...

Raymond A. Assel; C. Robert Snider; Reginald Lawrence

1985-03-01T23:59:59.000Z

465

Verification of Authors' Seasonal Forecast for Winter 2001/02 NAO and Central England Temperature  

E-Print Network (OSTI)

1 Verification of Authors' Seasonal Forecast for Winter 2001/02 NAO and Central England Temperature of our experimental seasonal forecasts, released on the 16th November 2001, for the winter 2001 Temperature (CET). 1. Winter 2001/02 NAO Forecast Key: NAO Index 1 = Mean sea level pressure difference

Saunders, Mark

466

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Stocks are important in the Northeast because they are the nearest source of supply when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Stocks are normally an important part of East Coast winter distillate supply. Over the last 10 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666,000 barrels per day of stocks, covering almost 36% of demand for that month. On average, stocks supply the East Coast with about 260,000 barrels per day on average in January and 280,000 barrels per day in February. Those supplies represent draws of about 8 million barrels in one month.

467

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Why do stocks matter in the Northeast? They are the nearest source of supply when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 10 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666 MB/D of stocks, covering almost 36% of demand for that month. Stocks supply the East Coast with about 260 MB/D on average in January and 280 MB/D in February. Those supplies represent draws of about 8 million barrels in one month. PADD 1 refineries meet about 25% of demand during January and

468

Distillate Stocks Are Important Part of Northeast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

The weather alone was not enough to cause the price spike. The low The weather alone was not enough to cause the price spike. The low stocks left the area vulnerable to sudden changes in the market, such as the weather change. Why do stocks matter in the Northeast? Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 5 years, PADD 1 stocks provided about 15% of supply during the peak winter months of January and February. They are the closest source of supply to the consumer. PADD 1 depends on about 60% of its supply from distant sources such as the Gulf Coast or imports, which can take several weeks to travel to the Northeast. Even product from East Coast refineries, if capacity is available, may take a week before it is produced and delivered to the regions needing new supply. Thus, stocks must be able

469

An analysis of US propane markets, winter 1996-1997  

SciTech Connect

In late summer 1996, in response to relatively low inventory levels and tight world oil markets, prices for crude oil, natural gas, and products derived from both began to increase rapidly ahead of the winter heating season. Various government and private sector forecasts indicated the potential for supply shortfalls and sharp price increases, especially in the event of unusually severe winter weather. Following a rapid runup in gasoline prices in the spring of 1996, public concerns were mounting about a possibly similar situation in heating fuels, with potentially more serious consequences. In response to these concerns, the Energy Information Administration (EIA) participated in numerous briefings and meetings with Executive Branch officials, Congressional committee members and staff, State Energy Offices, and consumers. EIA instituted a coordinated series of actions to closely monitor the situation and inform the public. This study constitutes one of those actions: an examination of propane supply, demand, and price developments and trends.

1997-06-01T23:59:59.000Z

470

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

471

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 MB/D in January and 280 MB/D in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak months,

472

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

473

Blue Creek Winter Range: Wildlife Mitigation Project Final Environmental Assessment  

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

Creek Winter Range: Creek Winter Range: Wildlife Mitigation Project Final Environmental Assessment I F 8 - Spokane Tribe of Indians Bonneville POWER ADMINISTRATION B r n u r r o N aF THIS D O C ~ I H ~ E E 1% utifi_;'iUzi: w DOVEA-0939 November1 994 Bureay of Indian Affairs DISCLAIMER Portions of this document may be illegible in electronic image products. Images are produced from the best available original document. DISCLAIMER This report 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, make 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

474

Distillate Stocks Are Important Part of Northeast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

1 of 15 1 of 15 Notes: Why do stocks matter in the Northeast? Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 5 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666 MB/D of stocks, covering almost 36% of demand for that month. PADD 1 refineries meet about 25% of demand during January and February, and other PADDs -- mostly PADD 3 -- supply 45-50% of the region’s needs. Imports generally supply about as much as stocks during the peak months, with most of the product coming from Canada, the Virgin Islands and Venezuela. Percentages do not tell the whole story. Stocks supply close to 300

475

Hellsgate Winter Range : Wildlife Mitigation Project. Preliminary Environmental Assessment.  

DOE Green Energy (OSTI)

The Bonneville Power Administration proposes funding the Hellsgate Winter Range Wildlife Mitigation Project in cooperation with the Colville Convederated Tribes and Bureau of Indian Affairs. This Preliminary Environmental Assessment examines the potential environmental effects of acquiring and managing property for wildlife and wildlife habitat within a large project area. The Propose action is intended to meet the need for mitigation of wildlife and wild life habitat that was adversely affected by the construction of Grand Coulee and Chief Joseph Dams and their reservoirs.

United States. Bonneville Power Administration.

1995-01-01T23:59:59.000Z

476

Be a Safe and Efficient Winter Driver | Department of Energy  

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

Be a Safe and Efficient Winter Driver Be a Safe and Efficient Winter Driver Be a Safe and Efficient Winter Driver January 13, 2009 - 8:29am Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy As I write this post, the Midwest and northern states are in the grip of a deep freeze. Temperatures are extremely low, and when wind chill is added in, it's barely possible to set foot outside. But if you are like me, you still need to get to work. For most of the country, that means driving-at least a little, if not an hour-plus commute each way. So why not make your vehicle efficient? We've been advising you on ways to make the home more energy smart, so let's talk about your car for a moment. One of the best ways to be energy smart with your car is also one of the wisest: drive sensibly. Aggressive driving wastes gas. Jackrabbit starts,

477

Be a Safe and Efficient Winter Driver | Department of Energy  

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

Be a Safe and Efficient Winter Driver Be a Safe and Efficient Winter Driver Be a Safe and Efficient Winter Driver January 13, 2009 - 8:29am Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy As I write this post, the Midwest and northern states are in the grip of a deep freeze. Temperatures are extremely low, and when wind chill is added in, it's barely possible to set foot outside. But if you are like me, you still need to get to work. For most of the country, that means driving-at least a little, if not an hour-plus commute each way. So why not make your vehicle efficient? We've been advising you on ways to make the home more energy smart, so let's talk about your car for a moment. One of the best ways to be energy smart with your car is also one of the wisest: drive sensibly. Aggressive driving wastes gas. Jackrabbit starts,

478

Be a Safe and Efficient Winter Driver | Department of Energy  

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

Be a Safe and Efficient Winter Driver Be a Safe and Efficient Winter Driver Be a Safe and Efficient Winter Driver January 13, 2009 - 8:29am Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy As I write this post, the Midwest and northern states are in the grip of a deep freeze. Temperatures are extremely low, and when wind chill is added in, it's barely possible to set foot outside. But if you are like me, you still need to get to work. For most of the country, that means driving-at least a little, if not an hour-plus commute each way. So why not make your vehicle efficient? We've been advising you on ways to make the home more energy smart, so let's talk about your car for a moment. One of the best ways to be energy smart with your car is also one of the wisest: drive sensibly. Aggressive driving wastes gas. Jackrabbit starts,

479

Users and households appliances: design suggestions for a better, sustainable interaction  

Science Conference Proceedings (OSTI)

The Human Machine Interaction has a big role in the user approach with households appliances. During the main phase (the use one), users are called to manage energy choices, often without available efficient information regarding the best behavior they ... Keywords: energy saving, households appliances, interaction design, interfaces, sustainability

Anna Zandanel

2011-09-01T23:59:59.000Z

480

A Comprehensive Model for Evaluation of Carbon Footprint and Greenhouse Gages Emission in Household Biogas Plants  

Science Conference Proceedings (OSTI)

Based on Life Cycle Assessment and other related methods, this paper introduced a comprehensive model for the evaluation of the carbon footprint and greenhouse gases emission in household biogas plants including nearly all the processes of the household ... Keywords: Biogas Plant, Carbon Footprint, Life Cycle, Greenhouse Gas

Jie Zhou; Shubiao Wu; Wanqin Zhang; Changle Pang; Baozhi Wang; Renjie Dong; Li Chen

2012-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "winter 2003-2004 household" 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

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

482

An examination of how households share and coordinate the completion of errands  

Science Conference Proceedings (OSTI)

People often complete tasks and to-dos not only for themselves but also for others in their household. In this work, we examine how household members share and accomplish errands both individually and together. We conducted a three-week diary study with ... Keywords: cooperative errands, coordination, families, roommates

Timothy Sohn; Lorikeet Lee; Stephanie Zhang; David Dearman; Khai Truong

2012-02-01T23:59:59.000Z

483

A spotlight on security and privacy risks with future household robots: attacks and lessons  

Science Conference Proceedings (OSTI)

Future homes will be populated with large numbers of robots with diverse functionalities, ranging from chore robots to elder care robots to entertainment robots. While household robots will offer numerous benefits, they also have the potential to introduce ... Keywords: cyber-physical systems, domestic robots, household robots, multi-robot attack, privacy, robots, security, single-robot attack, ubiquitous robots

Tamara Denning; Cynthia Matuszek; Karl Koscher; Joshua R. Smith; Tadayoshi Kohno

2009-09-01T23:59:59.000Z

484

Household Vehicles Energy Use: Latest Data & Trends  

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

C C : Q U A L I T Y O F T H E D ATA APPENDIX C A P P E N D I X C QUALITY OF THE DATA INTRODUCTION This section discusses several issues relating to the quality of the National Household Travel Survey (NHTS) data and to the interpretation of conclusions based on these data. In particular, the focus of our discussion is on the quality of specific data items, such as the fuel economy and fuel type, that were imputed to the NHTS via a cold-decking imputation procedure. This imputation procedure used vehicle-level information from the NHTSA Corporate Average Fuel Economy files for model year's 1978 through 2001. It is nearly impossible to quantify directly the quality of this imputation procedure because NHTS does not collect the necessary fuel economy information for comparison. At best, we have indirect evidence on the quality of our

485

Load Component Database of Household Appliances and Small Office Equipment  

Science Conference Proceedings (OSTI)

This paper discusses the development of a load component database for household appliances and office equipment. To develop more accurate load models at both transmission and distribution level, a better understanding on the individual behaviors of home appliances and office equipment under power system voltage and frequency variations becomes more and more critical. Bonneville Power Administration (BPA) has begun a series of voltage and frequency tests against home appliances and office equipments since 2005. Since 2006, Researchers at Pacific Northwest National Laboratory has collaborated with BPA personnel and developed a load component database based on these appliance testing results to facilitate the load model validation work for the Western Electricity Coordinating Council (WECC). In this paper, the testing procedure and testing results are first presented. The load model parameters are then derived and grouped. Recommendations are given for aggregating the individual appliance models to feeder level, the models of which are used for distribution and transmission level studies.

Lu, Ning; Xie, YuLong; Huang, Zhenyu; Puyleart, Francis; Yang, Steve

2008-07-24T23:59:59.000Z

486

How Do You Encourage Everyone in Your Household to Save Energy? |  

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

Do You Encourage Everyone in Your Household to Save Energy? Do You Encourage Everyone in Your Household to Save Energy? How Do You Encourage Everyone in Your Household to Save Energy? June 18, 2009 - 5:25pm Addthis Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people-be they roommates, spouses, children, or maybe even yourself-just seem to need some extra reminders to take simple energy-saving steps. How do you encourage everyone in your household to save energy? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. Addthis Related Articles How Have You Helped Someone Else Save Energy?

487

How Do You Encourage Everyone in Your Household to Save Energy? |  

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

Everyone in Your Household to Save Energy? Everyone in Your Household to Save Energy? How Do You Encourage Everyone in Your Household to Save Energy? June 18, 2009 - 5:25pm Addthis Anyone who has decided to save energy at home knows that the entire household needs to be involved if you really want to see savings. Some people-be they roommates, spouses, children, or maybe even yourself-just seem to need some extra reminders to take simple energy-saving steps. How do you encourage everyone in your household to save energy? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. Addthis Related Articles How Have You Helped Someone Else Save Energy?

488

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

489

Energy News: The Structure of Fuel Oil Use in US Households.  

U.S. Energy Information Administration (EIA)

Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, ... home heating oil prices in the Northeast and New England, ...

490

Household Projection and Its Application to Health/Long-Term Care Expenditures in Japan Using INAHSIM-II  

Science Conference Proceedings (OSTI)

Using a microsimulation model named Integrated Analytical Model for Household Simulation (INAHSIM), the author conducted a household projection in Japan for the period of 2010??2050. INAHSIM-II specifically means that the initial population is ... Keywords: dynamic micro simulation, health expenditure, household projection, initial population, long-term care expenditure, transition probabilities

Tetsuo Fukawa

2011-02-01T23:59:59.000Z

491

The 2004 North Slope of Alaska Arctic Winter Radiometric Experiment  

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

2004 North Slope of Alaska 2004 North Slope of Alaska Arctic Winter Radiometric Experiment E. R. Westwater, M. A. Klein, and V. Leuski Cooperative Institute for Research in Environmental Sciences University of Colorado National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado A. J. Gasiewski, T. Uttal, and D. A. Hazen National Oceanic and Atmospheric Administration Environmental Technology Laboratory Boulder, Colorado D. Cimini Remote Sensing Division, CETEMPS Universita' dell'Aquila L'Aquila, Italy V. Mattioli Dipartimento di Ingegneria Elettronica e dell'Informazione Perugia, Italy B. L. Weber and S. Dowlatshahi Science Technology Corporation Boulder, Colorado J. A. Shaw Department of Electrical and Computer Engineering

492

The Determinants of Homeonwership in Presence of Shocks Experienced by Mexican Households  

E-Print Network (OSTI)

Homeownership is both an individual and society objective, because of the positive neighborhood effects associated with areas of higher homeownership. To help realize these positive effects, the Mexican government has several programs directed to increasing homeownership. Many factors, however, may influence homeownership including shocks experienced by households. Shocks such as death in family, illness or accidents, unemployment, and business, crop, or livestock loss affect homeownership if households are unable to cushion the impact of the shock. Government income support programs, however, may help cushion the effect of a shock. The main objective is to determine how shocks that households experience and government income support programs influence homeownership in Mexico. A secondary objective is to determine how socio-demographic variables influence homeownership in Mexico. Based on the Random Utility Model, logit models of homeownership are estimated using data are from the 2002 Mexican National Survey on Living Levels of Households. Two models are estimated; with and without income. Income is excluded because of a large number of households that did not report income. Generally, inferences from the two models are similar. Homeownership appears to not be affected by shocks experienced by households. It appears households are able to cushion the impact of shocks. The two income support programs, the Program of Direct Rural Support of Mexico (PROGRESA) and the Program of Direct Rural Support of Mexico (PROCAMPO), appear to be increasing homeownership. These social welfare programs provide cash transfers to households. For whatever reason, PROGRESA has a larger effect on homeownership than PROCAMPO. Households with older heads have a larger probability of being a homeowner than households with younger heads. No statistically significance relationship exists between education and homeownership. Regional differences are seen in homeownership, with households located in the northwest region having a higher probability of homeownership than other regions. Differences in the significance of variable representing the household heads gender, marital status, and occupation on homeownership exist between logit models that include and do not include current income. The most likely reason for these differences is interactions between the variables and a wealth effect.

Lopez Cabrera, Jesus 1977-

2012-12-01T23:59:59.000Z

493

DOE, EIA, and NASEO Host Winter Fuels Outlook Conference on October 8, 2013  

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

DOE, EIA, and NASEO Host Winter Fuels Outlook Conference on October DOE, EIA, and NASEO Host Winter Fuels Outlook Conference on October 8, 2013 DOE, EIA, and NASEO Host Winter Fuels Outlook Conference on October 8, 2013 September 26, 2013 - 11:12am Addthis DOE's Office of Electricity Delivery and Energy Reliability, Energy Information Administration, and the National Association of State Energy Officials will host the 2013 - 2014 Winter Fuels Outlook Conference on October 8 at the National Press Club in Washington, DC. This supply and demand forecast event will address the effects of projected weather and market factors that may affect the supply, distribution and prices of petroleum, natural gas and electricity this winter. For more information and to register for the event, visit the 2013 Winter Fuels Outlook Conference website.

494

Registration Open for Winter Fuels Outlook Conference on October 12, 2011 |  

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

Registration Open for Winter Fuels Outlook Conference on October Registration Open for Winter Fuels Outlook Conference on October 12, 2011 Registration Open for Winter Fuels Outlook Conference on October 12, 2011 September 19, 2011 - 4:55pm Addthis The U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability, U.S. Energy Information Administration (EIA), and the National Association of State Energy Officials invite you to participate in the 2011 - 2012 Winter Fuels Outlook Conference. This important supply and demand forecast event will be held on Wednesday, October 12, 2011, from 7:30 a.m. - 3:30 p.m. at The Newseum, 555 Pennsylvania Avenue, N.W., Washington, DC 20001. Event Information Winter Fuels Conference Site Preliminary Agenda Online Registration Addthis Related Articles Registration Open for Winter Fuels Outlook Conference on October 10, 2012

495

W:\Wpgraphs\CCT\CCToday Newsletter\04_winter\to printer\04_winter_CCToday_12-16-04.pmd  

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

CSLF Meets in Australia CSLF Meets in Australia .............. 1 News Bytes .................................. 1 Japan's C3 Coal Initiative .............. 3 Upcoming Events ......................... 3 Mercury Measuring Techniques ... 4 Transport Reactor at PSDF ............ 5 Australia's Coal Program ............... 8 Thermoelectric Freshwater Needs .. 9 Oxygen-Based Combustion ......... 10 International Initiatives ............... 12 Status Report .............................. 14 A NEWSLETTER ABOUT INNOVATIVE TECHNOLOGIES FOR COAL UTILIZATION NEWS BYTES OFFICE OF FOSSIL ENERGY, U.S. DEPARTMENT OF ENERGY * DOE/FE-0480* ISSUE NO. 60, WINTER 2004 See "News Bytes" on page 11... See "CSLF" on page 2... In October 2004, the U.S. Depart- ment of Energy announced a second round of project selections under

496

Blue Creek Winter Range : Wildlife Mitigation Project : Final Environmental Assessment.  

DOE Green Energy (OSTI)

Bonneville Power Administration (BPA) proposes to fund that portion of the Washington Wildlife Agreement pertaining to the Blue Creek Winter Range Wildlife Mitigation Project (Project) in a cooperative effort with the Spokane Tribe, Upper Columbia United Tribes, and the Bureau of Indian Affairs (BIA). If fully implemented, the proposed action would allow the sponsors to protect and enhance 2,631 habitat units of big game winter range and riparian shrub habitat on 2,185 hectares (5,400 acres) of Spokane Tribal trust lands, and to conduct long term wildlife management activities within the Spokane Indian Reservation project area. This Final Environmental Assessment (EA) examines the potential environmental effects of securing land and conducting wildlife habitat enhancement and long term management activities within the boundaries of the Spokane Indian Reservation. Four proposed activities (habitat protection, habitat enhancement, operation and maintenance, and monitoring and evaluation) are analyzed. The proposed action is intended to meet the need for mitigation of wildlife and wildlife habitat adversely affected by the construction of Grand Coulee Dam and its reservoir.

United States. Bonneville Power Administration; United States. Bureau of Indian Affairs; Spokane Tribe of the Spokane Reservation, Washington

1994-11-01T23:59:59.000Z

497

Special Topics on Energy Use in Household Transportation  

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

Home Page Welcome to the Energy Information Administration's Residential Transportation Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Home Page Welcome to the Energy Information Administration's Residential Transportation Energy Consumption Home Page. If you need assistance in viewing this page, please call (202) 586-8800 Home > Transportation Home Page > Special Topics Special Topics Change in Method for Estimating Fuel Economy for the 1988 and subsequent RTECS (Released 09/12/2000) Can Household Members Accurately Report How Many Miles Their Vehicles Are Driven? (Released 08/03/2000) Calculate your Regional Gasoline Costs of Driving using the “Transportation Calculator” updated for new model years! Choose your car or SUV and see the gasoline part of the cost of driving in various parts of the country using EIA's current weekly prices. This application uses DOE/EPA's Fuel Economy Guide to set the MPG, but you can change it to compare your estimate of your car's mpg to the average of everyone else who takes the test. (Released 04/11/2000; Updated Yearly for Fuel Economies and Weekly for Fuel Prices)

498

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

499

A Reliable Natural Language Interface to Household Appliances  

E-Print Network (OSTI)

I have always wished that my computer would be as easy to use as my telephone. My wish has come true. I no longer know how to use my telephone. Bjarne Stroustrop (originator of C++) As household appliances grow in complexity and sophistication, they become harder and harder to use, particularly because of their tiny display screens and limited keyboards. This paper describes a strategy for building natural language interfaces to appliances that circumvents these problems. Our approach leverages decades of research on planning and natural language interfaces to databases by reducing the appliance problem to the database problem; the reduction provably maintains desirable properties of the database interface. The paper goes on to describe the implementation and evaluation of the EXACT interface to appliances, which is based on this reduction. EXACT maps each English user request to an SQL query, which is transformed to create a PDDL goal, and uses the Blackbox planner [13] to map the planning problem to a sequence of appliance commands that satisfy the original request. Both theoretical arguments and experimental evaluation show that EXACT is highly reliable.

Alexander Yates

2003-01-01T23:59:59.000Z

500

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