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


1

Effects of thermal pollution on the soft-bottoms surrounding a power station in the Canary Islands (NE Atlantic ocean)  

Science Journals Connector (OSTI)

The spatial and temporal effects of hot seawater (60–70°C) from a power station on nearby soft-bottom communities were ... coast of Tenerife, Canary Islands, NE Atlantic Ocean). The samples were taken during summ...

Rodrigo Riera; Jorge Núñez; Daniel Martín

2011-12-01T23:59:59.000Z

2

Clouds, Aerosols and Precipitation in the Marine Boundary Layer (CAP-MBL) AMF Deployment Graciosa Island, Azores, NE Atlantic Ocean May 2009-December 2010  

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

the Marine Boundary Layer (CAP-MBL) Graciosa Island, Azores, NE Atlantic Ocean May 2009-December 2010 Rob Wood, University of Washington CAP-MBL Proposal Team AMF Deployment Team Thanks to Mark Miller: AMF Site Scientist Kim Nitschke: AMF Site Manager Importance of Low-Clouds for Climate Imperative that we understand the processes controlling the formation, maintenance and dissipation of low clouds in order to improve their representation in climate models. Which clouds matter for climate sensitivity? Climate Feedbacks Model Intercomparison Project (CFMIP) 12 slab ocean models 2xCO 2 - control Correlation of global mean CRF with local values Mark Webb, Hadley Center 90 N 45 N 0 45 S 90S 0 90 E 180 90 W 0

3

Out of sight, out of mind: Threats to the marine biodiversity of the Canary Islands (NE Atlantic Ocean)  

Science Journals Connector (OSTI)

Abstract Lack of knowledge of the marine realm may bias our perception of the current status and threats to marine biodiversity. Less than 10% of all ecological literature is related to the ocean, and the information we have on marine species that are threatened or on the verge of extinction is scarce. This lack of information is particularly critical for isolated areas such as oceanic archipelagos. Here we review published and grey literature on the current status of marine organisms in the Canary Islands as a case description of the consequences that current out-of-sight out-of-mind attitudes may have on this unique environment. Global change, as represented by coastal development, pollution, exotic species and climate change, are currently affecting the distribution and abundance of Canarian marine organisms, and pose multiple threats to local species and communities. Environmental risks are significant at community and species levels, particularly for threatened species. Failure to address these trends will result in shifts in local biodiversity with important ecological, social, and economic consequences. Scientists, policy makers, educators, and relevant societal groups need to collaborate to reverse deleterious coastal biodiversity trends.

Rodrigo Riera; Mikel A. Becerro; Rick D. Stuart-Smith; Juan D. Delgado; Graham J. Edgar

2014-01-01T23:59:59.000Z

4

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

5

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

6

US NE MA Site Consumption  

Gasoline and Diesel Fuel Update (EIA)

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

7

US NE MA Site Consumption  

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

NE MA NE MA Site Consumption million Btu $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 US NE MA Expenditures dollars ALL ENERGY average per household (excl. transportation) 0 2,000 4,000 6,000 8,000 10,000 12,000 US NE MA Site Consumption kilowatthours $0 $250 $500 $750 $1,000 $1,250 $1,500 US NE MA Expenditures dollars ELECTRICITY ONLY average per household * Massachusetts households use 109 million Btu of energy per home, 22% more than the U.S. average. * The higher than average site consumption results in households spending 22% more for energy than the U.S. average. * Less reliance on electricity for heating, as well as cool summers, keeps average site electricity consumption in the state low relative to other parts of the U.S. However, spending on electricity is closer to the national average due to higher

8

NE Pacific St. NE Pacific St.  

E-Print Network [OSTI]

Lake W ashington Ship Canal NE Pacific St. NE Pacific St. NE Boat St. 15th Ave NE 15thAveNE UniversityWayNE BrooklynAveNE NE Pacific St. MontlakeBlvdNE MontlakeBlvdNE Pacific Place NE University Burke-Gilman Trail METRO NW A CD D EF F GHI H J RR BB CC EE AA Rotunda Cafe Ocean Sciences Hitchcock

9

BooNE: About BooNE  

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

Information BooNE Collaboration BooNE Experiment BooNE vs MiniBooNE Interesting Facts Posters Virtual Tour Picture Gallery News Articles BooNE photo montage Technical Information...

10

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

11

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

12

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

13

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

14

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

15

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

16

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

17

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

18

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

19

NE-23,  

Office of Legacy Management (LM)

t:"'. ? - ' t:"'. ? - ' y5 NE-23, wk$& Dr. Joseph A. Warburton Chainnan, Radiological and Toxicological Safety Board University of Nevada System DRI/ASC, P.O. Box 60220 Reno, Nevada 89506 Dear Dr. Warburton: The Department of Energy (DOE), as part of its Formerly Utilized Sites Remedial Action Program (FUSRAP), has reviewed information on the Mackay School of M ines facility at the University of Nevada, Reno, Nevada, to determine whether it contains residual radioactivity traceable to activities conducted on behalf of the Atomic Energy Commission (a predecessor to DOE). A radiological survey indicated that the radiation levels at the involved portion of the facility are at or near background levtrls. Therefore, no remedial action is required, and DGE is eliminating

20

NE-24  

Office of Legacy Management (LM)

VW- VW- 50 "id AU6 3 1983 NE-24 .' . _ : ' : R&D Decontamination Projects Under the Formerly Utilized Sites Remedial Actlon Program (FUSRAP) '_ F .- ,: 'J,.LaGrone, Manager . Oak Ridge Operations Office As a result of the House-Senate Conference Report and the Energy and Water Appropriations Act for FY 1984, and based on the data in the attached reports indicating radioactive contamination in excess of acceptable guidelines, the sites listed in the attachment and their respective vicinity properties (contaminated with radioactive materials from these sites) are being designated as decontamination research and development projects under the FUSRAP. Each site and the associated vicinity properties should be treated as a separate project. The objective of each project is to decontaminate the vicinity properties

Note: This page contains sample records for the topic "islander households ne" 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

NE-20  

Office of Legacy Management (LM)

hi v. !&-2:. hi v. !&-2:. /qL lo 1 OCT 2 9 1984 NE-20 -. Authorization for Remedial Action of the Ashland 2 Site, Tonawanda, New York f! Joe LaGrone, Manager Oak Ridge Operations Office Based on the Aerial Radiological Survey (Attachment 1) and a "walk-on" radiologlcal survey (Attachment 2 , excerpted from the ORNL draft report "Ground-Level Investigation of Anomalous Gamma Radiation Levels in the Tonawanda, New York, Area," January 1980), the property identified as Ashland 2 is authorized for remedial action. It should be noted that the attached survey data are for designation purposes only and Bechtel National, Inc. (EM), should conduct appropriate comprehensive characterization surveys to determine the extent and magnitude of the

22

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

23

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

24

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

25

Households and Pension  

Science Journals Connector (OSTI)

This chapter deals with two economic issues. First, we examine Japan’s household structure. In the previous chapter ( Chapter 10 ...), we recognized the importance of the ...

Mitsuhiko Iyoda

2010-01-01T23:59:59.000Z

26

HOUSEHOLD SOLAR POWER SYSTEM.  

E-Print Network [OSTI]

?? Photovoltaic power has become one of the most popular research area in new energy field. In this report, the case of household solar power… (more)

Jiang, He

2014-01-01T23:59:59.000Z

27

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

28

Household Vehicles Energy Consumption 1991  

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

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...

29

BooNE: Picture Gallery  

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

Picture Gallery BooNE Collaboration Members of the BooNE collaboration Civil Construction Pictorial progress of BooNE civil construction work Detector Installation Pictorial...

30

BooNE Collaboration  

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

Collaboration The BooNE collaboration consists of approximately sixty-five physicists from 13 institutions. While small on the scale of high energy physics experiments, BooNE...

31

The Household “Pie”  

Science Journals Connector (OSTI)

The discussion of theoretical, conceptual, and methodological concerns in the last three chapters has set the stage for an examination of the total effort that households devote to domestic and market activiti...

Sarah Fenstermaker Berk

1985-01-01T23:59:59.000Z

32

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

33

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

34

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

35

NE Blog Archive  

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

ne/blog-archive 1000 Independence Ave. SWWashington DC ne/blog-archive 1000 Independence Ave. SWWashington DC 20585202-586-5000 en Generation IV International Forum Updates Technology Roadmap and Builds Future Collaboration http://energy.gov/ne/articles/generation-iv-international-forum-updates-technology-roadmap-and-builds-future ne/articles/generation-iv-international-forum-updates-technology-roadmap-and-builds-future" class="title-link">Generation IV International Forum Updates Technology Roadmap and Builds Future Collaboration

36

Household portfolios in Japan  

Science Journals Connector (OSTI)

I provide a detailed description and in-depth analysis of household portfolios in Japan. (1) It is shown that the share of equities in financial wealth and the stock market participation of Japanese households decreased throughout the 1990s. (2) Using survey data, age-related variations in the share of stocks in financial wealth are analyzed. The equity share and stock market participation increase with age among young households, peaking when people reach their 50s, and then stabilizing. However, the share of equities conditional on ownership exhibits no significant age-related pattern, implying that age-related patterns are primarily explained by the decision to hold stocks. A similar mechanism operates to that found in previous studies of Western countries. (3) Owner-occupied housing has a significantly positive effect on stock market participation and on the share of stocks in financial wealth.

Tokuo Iwaisako

2009-01-01T23:59:59.000Z

37

Household Vehicles Energy Use Cover Page  

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

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

38

"Keeping Up" or "Keeping Afloat"? : how American households accumulate wealth  

E-Print Network [OSTI]

having a Black or Hispanic household head, and experiencingBlack households, Hispanic households, poor households, etc.that Black- and Hispanic- headed households appear to be at

Lundy, Jeffrey Dalton

2012-01-01T23:59:59.000Z

39

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

40

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

Note: This page contains sample records for the topic "islander households ne" 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

Household Light Makes Global Heat: High Black Carbon Emissions From Kerosene Wick Lamps  

Science Journals Connector (OSTI)

(3) Lighting is another component of this household energy challenge, with millions of households still relying on simple liquid-fueled lamps, but little is known of the associated environmental and health impacts. ... For laboratory tests, CO2 and CO concentrations were measured in real-time with a Li-COR 6252 (Li-COR Biosciences, Lincoln, NE) and Horiba AIA-220 (Horiba, Kyoto, Japan) nondispersive infrared (NDIR) analyzer, respectively. ...

Nicholas L. Lam; Yanju Chen; Cheryl Weyant; Chandra Venkataraman; Pankaj Sadavarte; Michael A. Johnson; Kirk R. Smith; Benjamin T. Brem; Joseph Arineitwe; Justin E. Ellis; Tami C. Bond

2012-11-19T23:59:59.000Z

42

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

E-Print Network [OSTI]

be damaged when corrosive chemicals are put down the drain. Burning hazardous wastes simply distributes themHousehold 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

de Lijser, Peter

43

Interconnect Issues in NE  

Broader source: Energy.gov [DOE]

Presentation covers interconnect issues in the Northeast and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

44

BooNE: Posters  

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

Posters What's a Neutrino? How neutrinos fit into our understanding of the universe. Recipe for a Neutrino Beam Start with some protons... concocting the MiniBooNE beam. The...

45

20Ne Cross Section  

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

, X) (Current as of 01212015) NSR Reaction E (MeV) Cross Section File X4 Dataset Date Added 1983SC17 20Ne(, ): deduced S-factor of capture 0.55 - 3.2 X4 09152011...

46

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

47

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

48

Household Vehicles Energy Consumption 1991  

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

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

49

Eliyahu Ne'eman  

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

Eliyahu Ne'eman Eliyahu Ne'eman Consulting Engineer on Lighting and Daylighting Lawrence Berkeley National Laboratory 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. Eliyahu Ne'eman is a leading international expert on lighting and daylighting. He has been involved in education, research and practice for over 40 years while working in Israel, UK, Germany and the US(LBNL). He has worked extensively in the area of occupant response in luminous spaces and he has been leading the CIE Task Group that has revised the CIE Museum Lighting Guide. This Speaker's Seminars Control of Damage to Museum Objects by Optical Radiation

50

20Ne Cross Section  

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

p, X) (Current as of 05152012) NSR Reaction Ep (MeV) Cross Section File X4 Dataset Date Added 1981DY03 20Ne(p, p'): for production of -rays threshold - 23 1.63-MeV -rays...

51

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

52

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

53

Asset Pricing with Countercyclical Household Consumption Risk  

E-Print Network [OSTI]

1 Asset Pricing with Countercyclical Household Consumption Risk George M. Constantinides that shocks to household consumption growth are negatively skewed, persistent, and countercyclical and play that drives the conditional cross-sectional moments of household consumption growth. The estimated model

Sadeh, Norman M.

54

BooNE: Booster Neutrino Experiment  

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

Picture Gallery BooNE Collaboration Members of the BooNE collaboration Civil Construction Pictorial progress of BooNE civil construction work Detector Installation Pictorial...

55

Household vehicles energy consumption 1994  

SciTech Connect (OSTI)

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

NONE

1997-08-01T23:59:59.000Z

56

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

57

BooNE: Booster Neutrino Experiment  

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

Collaboration Booster Neutrino Experiment (BooNE) BooNE vs MiniBooNE Interesting Facts Posters Virtual Tour Picture Gallery News Articles Technical Information BooNE Proposal...

58

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

Gasoline and Diesel Fuel Update (EIA)

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

59

Household vehicles energy consumption 1991  

SciTech Connect (OSTI)

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

Not Available

1993-12-09T23:59:59.000Z

60

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

Note: This page contains sample records for the topic "islander households ne" 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

Christmas Island  

Science Journals Connector (OSTI)

... HAVING read with much interest the description of Christmas Island by Captain Aldrich and Mr. Lister, I have endeavoured to interpret some of ... . Lister, I have endeavoured to interpret some of the facts there given in the light of my own examination of similar islands in the Western Pacific. As pointed out ...

H. B. GUPPY

1888-01-05T23:59:59.000Z

62

Communications on energy Household energy conservation  

Science Journals Connector (OSTI)

This study assesses the influence of attitudinal and socio-economic factors on household energy conservation actions. A household interview survey in Regina, Saskatchewan found that respondents perceive an energy problem, although no association with energy conservation actions was determined. Two attitudinal and five socio-economic variables influence household energy conservation. Energy and monetary savings are available to households through energy conservation. Public awareness of household energy conservation through the media can reinforce existing energy conservation actions and encourage new actions.

Fred A. Curtis; P. Simpson-Housley; S. Drever

1984-01-01T23:59:59.000Z

63

Excitation functions of the Ne20+20Ne system  

Science Journals Connector (OSTI)

A differentially pumped windowless Ne20 gas target and a Ne20 beam produced with the ATLAS accelerator at Argonne National Laboratory were used to measure angle-averaged excitation functions for binary decay of Ne20+20Ne into low-lying states of Ne20+20Ne and Mg24+16O, in the region of excitation energy in Ca40 from 51.4 to 58.2 MeV (20Ne beam energies from 61.8 to 75.4 MeV). The Ne20+20Ne mass partition displays little correlated structure and there exists no evidence of intermediate width resonances in these channels with branching ratios comparable to those seen in the Mg24+24Mg system. Angular distributions for the elastic channel are consistent with those obtained using optical-model calculations. The exictation functions for the low-lying channels in Mg24+16O do contain some structures, with widths varying from 400 to 800 keV in the c.m. system.

S. P. Barrow; R.W. Zurmühle; J. T. Murgatroyd; N. G. Wimer; Y. Miao; K. R. Pohl; A. H. Wuosmaa; R. R. Betts; M. Freer; B. Glagola

1995-04-01T23:59:59.000Z

64

Category:Omaha, NE | Open Energy Information  

Open Energy Info (EERE)

Omaha, NE Omaha, NE Jump to: navigation, search Go Back to PV Economics By Location Media in category "Omaha, NE" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Omaha NE Omaha Public Power District.png SVFullServiceRestauran... 63 KB SVHospital Omaha NE Omaha Public Power District.png SVHospital Omaha NE Om... 61 KB SVLargeHotel Omaha NE Omaha Public Power District.png SVLargeHotel Omaha NE ... 61 KB SVLargeOffice Omaha NE Omaha Public Power District.png SVLargeOffice Omaha NE... 63 KB SVMediumOffice Omaha NE Omaha Public Power District.png SVMediumOffice Omaha N... 65 KB SVMidriseApartment Omaha NE Omaha Public Power District.png SVMidriseApartment Oma... 62 KB SVOutPatient Omaha NE Omaha Public Power District.png SVOutPatient Omaha NE ...

65

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

66

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

67

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

68

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

69

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

70

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

71

NE-23 W  

Office of Legacy Management (LM)

>:-1. ,- '"CC3 >:-1. ,- '"CC3 . ' NE-23 .+ W h itm~ l-l& Mr. Victor 3. Canilov, Director Museum of Science and Industry East 57th Street and Lake Shore Drive Chicago, Illinois 60037 Dear kr. Danilov: The Department of Energy (DOE), as part of its Formerly Utilized Sites Remedial Action Program (FUSPSIP), has reviewed information on the Museum cf Science and Industry, Chicago, Illinois, to determine whether it contains residual radioactivity traceable to activities conducted on behalf of the Manhattan Engineer District or the Atomic Energy C o m m ission (predecessors to DOE). A radiological survey indicated that the radiation levels are equal to natural background. Therefore, no remedial action is required, ant DOE is eliminating the Museum of Science and Industry from further

72

Characteristics RSE Column Factor: Households with Children Households...  

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

... 6.1 0.8 2.7 2.6 Q Q Q Q Q Q Q 23.2 Race of Householder White ... 54.8 14.4 27.6 12.8 83.7 3.2 6.7 7.2...

73

Physical activity of adults in households with and without children  

E-Print Network [OSTI]

whites, fewer Hispanics, and higher household incomes thanWhites, fewer Hispanics, and higher household incomes thanWhites, fewer Hispanics, and higher household incomes than

Candelaria, Jeanette Irene

2010-01-01T23:59:59.000Z

74

MiniBooNE Collaboration MiniBooNE Collaboration Yale University  

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

at MiniBooNE at MiniBooNE B. T. Fleming for the B. T. Fleming for the MiniBooNE Collaboration MiniBooNE Collaboration Yale University Yale University The LSND experiment...

75

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

76

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

77

Household Vehicles Energy Consumption 1991  

Gasoline and Diesel Fuel Update (EIA)

or More...... 23.1 15.2 197 12.3 10.7 13.0 1.3 12.8 13.0| 6.7 | Race of Householder | White... 135.3 89.5 1,429 89.2 73.9 89.2 9.1 87.5 89.1| 2.0...

78

The World Distribution of Household Wealth  

E-Print Network [OSTI]

Japan is not a remote prospect. In summary, it is clear that householdJapan Korea, South New Zealand Norway Spain Sweden Switzerland United Kingdom United States Year Unit share of top 2002 household

DAVIES, JAMES B; Shorrocks, Anthony; Sandstrom, Susanna; WOLFF, EDWARD N

2007-01-01T23:59:59.000Z

79

BooNE: Booster Neutrino Experiment  

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

collaboration Find here collaboration lists of MiniBooNE at various stages of the experiment Current MiniBooNE-darkmatter collaboration Original MiniBooNE collaboration From script...

80

BooNE: Booster Neutrino Experiment  

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

Scrapbook Page 2 The BooNE collaboration in winter. A tour of the construction site. Working with the BooNE Horn. BooNE in the winter A tour of the construction site. A day with...

Note: This page contains sample records for the topic "islander households ne" 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

Trip rate comparison of workplace and household surveys  

E-Print Network [OSTI]

Available vs. Trip Rate) 14 El Paso Household Survey (Household Income vs. Trip Rate) . 15 El Paso Workplace Survey (Household Income vs. Trip Rate) . 52 52 53 53 54 54 16 BPA Household Survey (Household Size vs. Trip Rate) . . 17 BPA Workplace... Survey (Household Size vs. Trip Rate) . . 56 56 18 BPA Household Survey (No. of Employees vs. Trip Rate) . . 19 BPA Workplace Survey (No. of Employees vs. Trip Rate) . . 20 BPA Household Survey (Vehicles Available vs. Trip Rate) . . 21 BPA Workplace...

Endres, Stephen Michael

2012-06-07T23:59:59.000Z

82

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

83

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

84

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

85

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

86

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

87

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

88

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

89

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

90

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

91

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

92

For the MicroBooNE Collaboration IPA2013  

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

Status of MicroBooNE Christina Ignarra (MIT) For the MicroBooNE Collaboration IPA2013 May 14, 2013 Motivation for MicroBooNE: MiniBooNE Motivation for MiniBooNE: LSND * LSND...

93

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

94

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

95

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

96

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

97

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

98

BooNE: Booster Neutrino Experiment  

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

CA A Search for numu Disappearance with SciBooNE and MiniBooNE PowerPoint Z. Pavlovic Low Energy Neutrino Oscillations G. Zeller Neutrino-Nucleus Cross Sections G. Mills Neutrino...

99

BooNE: Booster Neutrino Experiment  

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

J.L.Raaf NOON 2004 February 11-15, 2004 Tokyo, Japan MiniBooNE Status NA B. Louis 2004 Venice, Italy MiniBooNE NA G. Zeller 2nd International Workshop on Neutrino-Nucleus...

100

BooNE: Booster Neutrino Experiment  

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

a variety of experiments. image: neutrino event types in oil for the MiniBooNE flux This pie chart shows the resultant event fractions at MiniBooNE before any selection cuts. The...

Note: This page contains sample records for the topic "islander households ne" 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

Household Response To Dynamic Pricing Of Electricity: A Survey...  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

102

NE  

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

h i n g t o n M u l t n o m a h C o . O r e g o n M u l t n o m a h C o . O r e g o n Troutdale N E I O N E L O O P SW PAR K ST NW IVY ST NW ELM ST N W 1 8 T H L O O P S W 5 T H A...

103

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

104

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

105

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

106

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

107

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

108

More efficient household electricity use  

SciTech Connect (OSTI)

The energy efficiency of electric appliances has increased markedly in OECD countries, according to data provided by utilities, appliance associations, appliance manufacturers, and independent analyses of each country we reviewed (US, Sweden, Norway, Holland, Japan, Germany, UK). These improvements have, in part, offset increases in electricity demand due to increasing saturation of appliances. However, we see evidence that the efficiency of new devices has hit a temporary plateau: Appliances sold in 1988, while far more efficient than similar ones sold in the early 1970s, may not be significantly more efficient than those sold in 1987. The reason for this plateau, according to manufacturers we interviewed, is that the simple energy-saving features have been incorporated; more sophisticated efficiency improvements are economically justified by five to ten year paybacks, but unattractive to consumers in most countries who appear to demand paybacks of less than three years. Manufacturers see features other than efficiency --- such as number of storage compartments and automatic ice-makers --- as more likely to boost sales, market share, or profits. If this efficiency plateau'' proves lasting, then electricity use for appliance could begin to grow again as larger and more fancy models appear in households. 38 refs., 10 figs., 1 tab.

Schipper, L.; Hawk, D.V.

1989-12-01T23:59:59.000Z

109

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

110

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

111

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

112

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

113

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 ï‚· 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. ï‚· 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

114

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 ï‚· 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. ï‚· 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

115

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network [OSTI]

Energy Efficiency Potential Study.  Technical Report Energy Efficiency  Potential Study.  Technical Report Energy Efficiency   Renewable Energy Technologies   Transportation   Assessment of Household Carbon Footprint Reduction Potentials is the final report 

Masanet, Eric

2010-01-01T23:59:59.000Z

116

Household energy consumption and expenditures 1993  

SciTech Connect (OSTI)

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

NONE

1995-10-05T23:59:59.000Z

117

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

118

Nevada: Kingston Creek Hydro Project Powers 100 Households  

Broader source: Energy.gov [DOE]

Hydropower project produces enough electricity to annually power nearly 100 typical American households.

119

Overview of NE Research Programs  

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

NE Research Programs NE Research Programs Sue Lesica Office of Nuclear Energy U.S. Department of Energy July 31, 2013 2 R&D Budgets FY 2013 FY 2014 Congressional Request House Mark Senate Mark SMR Licensing Technical Support 62,999 70,000 110,000 70,000 Small Modular Reactor R&D 23,958 20,000 20,000 20,000 Next Generation Nuclear Plant 38,720 0 0 0 LWR Sustainability 24,218 21,500 21,500 21,500 Advanced Reactor Concepts 21,178 31,000 45,000 21,000 Reactor Concepts RD&D 108,075 72,500 86,500 62,500 Modeling and Simulation Hub 24,588 24,300 24,300 24,300 Crosscutting Technology Development 17,242 13,901 27,885 25,437 NEAMS 13,646 9,536 National Scientific Users Facility 14,563 14,563 14,563 14,563 Nuclear Energy Enabling Technologies 70,040 62,300 66,748 62,300

120

Pacific Ocean Islands – Editorial Introduction  

Science Journals Connector (OSTI)

Islands in the Pacific Ocean are of three kinds (Nunn 2005). ... Most of the islands lie in the SW Pacific, but the Galapagos, Clipperton, and Easter ... Island are volcanic islands rising from the East Pacific R...

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Bainbridge Island Data Dashboard  

Broader source: Energy.gov [DOE]

The data dashboard for Bainbridge Island, a partner in the U.S. Department of Energy's Better Buildings Neighborhood Program.

122

Arctic ice islands  

SciTech Connect (OSTI)

The development of offshore oil and gas resources in the Arctic waters of Alaska requires offshore structures which successfully resist the lateral forces due to moving, drifting ice. Ice islands are floating, a tabular icebergs, up to 60 meters thick, of solid ice throughout their thickness. The ice islands are thus regarded as the strongest ice features in the Arctic; fixed offshore structures which can directly withstand the impact of ice islands are possible but in some locations may be so expensive as to make oilfield development uneconomic. The resolution of the ice island problem requires two research steps: (1) calculation of the probability of interaction between an ice island and an offshore structure in a given region; and (2) if the probability if sufficiently large, then the study of possible interactions between ice island and structure, to discover mitigative measures to deal with the moving ice island. The ice island research conducted during the 1983-1988 interval, which is summarized in this report, was concerned with the first step. Monte Carlo simulations of ice island generation and movement suggest that ice island lifetimes range from 0 to 70 years, and that 85% of the lifetimes are less then 35 years. The simulation shows a mean value of 18 ice islands present at any time in the Arctic Ocean, with a 90% probability of less than 30 ice islands. At this time, approximately 34 ice islands are known, from observations, to exist in the Arctic Ocean, not including the 10-meter thick class of ice islands. Return interval plots from the simulation show that coastal zones of the Beaufort and Chukchi Seas, already leased for oil development, have ice island recurrences of 10 to 100 years. This implies that the ice island hazard must be considered thoroughly, and appropriate safety measures adopted, when offshore oil production plans are formulated for the Alaskan Arctic offshore. 132 refs., 161 figs., 17 tabs.

Sackinger, W.M.; Jeffries, M.O.; Lu, M.C.; Li, F.C.

1988-01-01T23:59:59.000Z

123

GREEN HOMES LONG ISLAND  

E-Print Network [OSTI]

GREEN HOMES LONG ISLAND Town of Babylon Steve Bellone, Supervisor green your house, slash your to introduce Long Island Green Homes, an innovative program that will help residents make their homes more energy-efficient and reduce our community's carbon footprint. Why do we call it Long Island Green Homes

Kammen, Daniel M.

124

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

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

125

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

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

126

Discrete Applied Mathematics 121 (2002) 139153 NeST graphs  

E-Print Network [OSTI]

Discrete Applied Mathematics 121 (2002) 139­153 NeST graphs Ryan B. Haywarda; , Paul E. Kearneyb; received in revised form 14 March 2001; accepted 26 March 2001 Abstract We establish results on NeST graphs show the equivalence of proper NeST graphs and unit NeST graphs, the equivalence of ÿxed distance NeST

Hayward, Ryan B.

127

NE - Nuclear Energy - Energy Conservation Plan  

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

NUCLEAR ENERGY (NE) NUCLEAR ENERGY (NE) ENERGY CONSERVATION PLAN NE has heavily emphasized the use of flexiplace, both regular and situational. Since approximately 56 percent of NE staff use flexiplace, our plan is based on the Forrestal/Germantown (FORS/GTN) office spaces, and flexiplace office space. There are other common sense actions and policies that will be used to improve energy efficiency in the offices at both FORS and GTN. In the FORS/GTN office space: 1. Use flexiplace to the maximum extent possible. Saving an average of 1.5 gallons of gasoline per day per person (e.g., 13 miles per work x 2 = 26 miles, an average of 17 mpg), on a normal workday, NE employees save (56 percent of 145 = 71 times 1.2 days per pay period = 85.2 workdays x 1.5 gals = 127.8 gallons/pay

128

Table 5.17. U.S. Number of Households by Vehicle Fuel Expenditures...  

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

5.17. U.S. Number of Households by Vehicle Fuel Expenditures, 1994 (Continued) (Million Households) 1993 Household and 1994 Vehicle Characteristics RSE Column Factor: All...

129

Using census aggregates to proxy for household characteristics: an application to vehicle ownership  

E-Print Network [OSTI]

Instead, Asian and Hispanic households were undersampled byhousehold Age of the householder/Average age of residents Hispanichousehold Age of the householder/Average age of residents Hispanic

Adjemian, Michael; Williams, Jeffrey

2009-01-01T23:59:59.000Z

130

Hartford Neighborhood Healthy Homes Project (NeHHP) Checklist Definitions  

E-Print Network [OSTI]

Hartford Neighborhood Healthy Homes Project (NeHHP) Checklist Definitions Hartford Neighborhood Healthy Homes Project (NeEHP) Modified Visual Assessment from US DHHS Healthy Housing Inspection Manual or breaking stone or brick. #12;Hartford Neighborhood Healthy Homes Project (Ne

Oliver, Douglas L.

131

Survey of Household Energy Use (SHEU)  

E-Print Network [OSTI]

Survey of Household Energy Use (SHEU) 2003 Detailed Statistical Report #12;To obtain additional copies of this or other free publications on energy efficiency, please contact: Energy Publications Office of Energy Efficiency Natural Resources Canada c/o St. Joseph Communications Order Processing Unit

132

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

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

133

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

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

134

Opportunities to reduce greenhouse gas emissions from households in Nigeria  

Science Journals Connector (OSTI)

Efforts to mitigate climate threats should not exclude the household as the household is a major driver of greenhouse gas (GHG) emissions through its consumption...2) emissions from kerosene combustion for lighting

O. Adeoti; S. O. Osho

2012-02-01T23:59:59.000Z

135

Household Wealth in a Cross-Country Perspective  

Science Journals Connector (OSTI)

This paper provides a comparative analysis of household wealth in the United States, the United Kingdom, Japan, France, Germany, Spain, and Italy. ... wealth, looking at the instruments in which households invest...

Laura Bartiloro; Massimo Coletta…

2012-01-01T23:59:59.000Z

136

ANALYSIS OF CEE HOUSEHOLD SURVEY NATIONAL AWARENESS OF ENERGY STAR  

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

137

Home Prices and Household Callan Windsor, Jarkko Jskel and  

E-Print Network [OSTI]

Research Discussion Paper Home Prices and Household Spending Callan Windsor, Jarkko Jääskelä. ISSN 1320-7729 (Print) ISSN 1448-5109 (Online) #12;Home Prices and Household Spending Callan Windsor Abstract This paper explores the positive relationship between home prices and household spending

138

Syntactic Islands in Uyghur  

E-Print Network [OSTI]

negative NON.PST non-past tense NP noun phrase PART participle PL plural POSS possessive SCO Strong Crossover SG singular TP tense phrase VP verb phrase WCO Weak Crossover 1 1. Introduction In this thesis, I... provide a survey of island effects in Modern Standard Uyghur (ISO 639-3: uig)1, consisting of complex noun phrases, wh-islands, coordinate structures, and crossover effects. This investigation includes restrictions on scrambling out of islands and covert...

Major, Travis

2014-05-31T23:59:59.000Z

139

Handling Frame Problems When Address-Based Sampling Is Used for In-Person Household Surveys  

Science Journals Connector (OSTI)

......use as the sampling frame for household surveys. This subset includes...However, around 90 percent of households with PO box addresses also have...recent growth, new construction, Hispanic households, non-English-speaking households......

Graham Kalton; Jennifer Kali; Richard Sigman

2014-09-01T23:59:59.000Z

140

BooNE: Booster Neutrino Experiment  

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

Posters What's a Neutrino? How neutrinos fit into our understanding of the universe. Recipe for a Neutrino Beam Start with some protons... concocting the MiniBooNE beam. The...

Note: This page contains sample records for the topic "islander households ne" 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

BooNE: Booster Neutrino Experiment  

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

linked in their own page with captions. Additional resources are the Talks, Slides and Posters page and the Publications page Experiment Details Data Releases BooNE photo montage...

142

BooNE: Booster Neutrino Experiment  

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

arXiv:0806.1449 General neutrino fluxes vs true neutrino energy, for MiniBooNE: image:muon neutrino flux image:electron neutrino flux image:final muon and electron neutrino...

143

BooNE: Booster Neutrino Experiment  

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

by the MiniBooNE Collaboration: A.A. Aguilar-Arevalo et al., First Measurement of the Muon Antineutrino Double Differential Charged Current Quasi-Elastic Cross Section,...

144

BooNE: Booster Neutrino Experiment  

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

BooNE will investigate the question of neutrino mass by searching for oscillations of muon neutrinos into electron neutrinos. This will be done by directing a muon neutrino beam...

145

A=18Ne (1995TI07)  

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

found. Astrophysical implications are discussed. 3. 14O(, )18Ne Qm 5.112 The thermonuclear reaction rates for this reaction have been estimated (1987WI11) using information...

146

MicroBooNE Proposal Addendum March  

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

by the growing interest in the Mini- BooNE low energy excess, demonstrated by new phenomenology papers appearing on the archive and by dedicated sessions at conferences such as...

147

BooNE: Booster Neutrino Experiment  

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

break the light barrier'' in the oil. Of course, nothing can travel faster than c, the speed of light in a vacuum, but for MiniBooNE light is traveling through oil. The oil...

148

E-Print Network 3.0 - assessing household solid Sample Search...  

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

of Groundwater Contamination from Household Wastewater... 12;Glossary Household Wastewater Treatment These terms may help you make more accurate assessments......

149

MicroBooNE Detector Move  

ScienceCinema (OSTI)

On Monday, June 23, 2014 the MicroBooNE detector -- a 30-ton vessel that will be used to study ghostly particles called neutrinos -- was transported three miles across the Fermilab site and gently lowered into the laboratory's Liquid-Argon Test Facility. This video documents that move, some taken with time-lapse camerad, and shows the process of getting the MicroBooNE detector to its new home.

Flemming, Bonnie; Rameika, Gina

2014-07-15T23:59:59.000Z

150

Fluvial dissection, isostatic uplift, and geomorphological evolution of volcanic islands (Gran Canaria, Canary Islands, Spain)  

Science Journals Connector (OSTI)

Digital analysis of torrential gullies (‘barrancos’) deeply incised into the volcanic Island of Gran Canaria (Canary Islands) allows us to extract the longitudinal profiles and pre-incision surfaces for individual basins, from which morphometric parameters (length, elevation, area, slope) have been calculated. Other derived parameters, such as ridgeline profiles, maximum incision values, volume removed by fluvial erosion, geophysical relief and isostatic uplift, have also been computed. Based on K/Ar ages for the island, well-constrained incision-uplift rates have been calculated by means of the combination of different methodological approaches commonly used in orogens and large mountain ranges. The geomorphological and morphometric analyses reveal that the island is clearly divided into four environmental quadrants determined by the combination of a couple of key-factors: the age of the volcanic surfaces and the climatic conditions. These factors determine a young sector covered with Plio-Quaternary platform-forming lavas (finished at 1.9–1.5 Ma) evolving under contrasting wet (NE) to dry (SE) climates, and an older sector, conserving the residual surfaces of the Miocene shield building (14.5–8.7 Ma) at the ridgelines, also subjected to wet (NW) and dry (SW) climates. Incision is related to the age zonation of the island. Maximum incisions (Gran Canaria. Additional sources of uplift, such as gravitational unloading, lithospheric flexure induced by adjacent islands, and/or volcanic underplating, are required. The theoretical onset of lithospheric bulging beneath Gran Canaria, as exerted by Tenerife, promoted a broad westwards tilting of the former from 3.8–3.5 Ma ago. This overall tilting accelerated fluvial incision, erosional unloading, and, therefore, the sustained differential uplift on the Eastern slope of the island over its last erosional stage. Considering mean uplift rates for the East and West sectors, Eastern values (0.024 mm/yr) are double than those in the West (0.011 mm/yr), supporting the role of lithospheric flexure of adjacent islands as an additional source of uplift. Complex feedback between fluvial unloading, differential uplift, orographic effect, lithospheric flexure, and volcanic underplating, seems to control the geomorphological development of hot-spot volcanic islands, after the gravitational collapse of stratovolcanos during their rejuvenation stage.

Inmaculada Menéndez; Pablo G. Silva; Moises Martín-Betancor; Francisco José Pérez-Torrado; Hervé Guillou; S. Scaillet

2008-01-01T23:59:59.000Z

151

Towards sustainable consumption: do green households have smaller ecological footprints?  

Science Journals Connector (OSTI)

The need for households in rich countries to develop more sustainable consumption patterns is high on the political agenda. An increased awareness of environmental issues among the general public is often presented as an important prerequisite for this change. This article describes how the study team compared the ecological footprints of ''green'' and ''ordinary'' households. These footprint calculations are based on a number of consumption categories that have severe environmental consequences, such as energy and material use in the home, and transport. The comparison is based on a survey of 404 households in the city of Stavanger, where 66 respondents were members of the Environmental Home Guard in Norway. The analysis suggests that, even if the green households have a smaller ecological footprint per household member, this is not caused by their participation in the Home Guard. It merely reflects the fact that green households are larger than ordinary households.

Erling Holden

2004-01-01T23:59:59.000Z

152

Household transitions to energy efficient lighting  

Science Journals Connector (OSTI)

Abstract New energy efficient lighting technologies can significantly reduce household electricity consumption, but adoption has been slow. A unique dataset of German households is used in this paper to examine the factors associated with the replacement of old incandescent lamps (ILs) with new energy efficient compact fluorescent lamps (CFLs) and light emitting diodes (LEDs). The ‘rebound’ effect of increased lamp luminosity in the transition to energy efficient bulbs is analyzed jointly with the replacement decision to account for household self-selection in bulb-type choice. Results indicate that the EU ban on \\{ILs\\} accelerated the pace of transition to \\{CFLs\\} and LEDs, while storage of bulbs significantly dampened the speed of the transition. Higher lighting needs and bulb attributes like energy efficiency, environmental friendliness, and durability spur IL replacement with \\{CFLs\\} or LEDs. Electricity gains from new energy efficient lighting are mitigated by 23% and 47% increases in luminosity for CFL and LED replacements, respectively. Model results suggest that taking the replacement bulb from storage and higher levels of education dampen the magnitude of these luminosity rebounds in IL to CFL transitions.

Bradford Mills; Joachim Schleich

2014-01-01T23:59:59.000Z

153

N E A D A M S P L NE  

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

NE 349TH ST N E 29TH AV E NE 3 59 T H ST N E 2 6 T H A V E N E 36 4T H ST NE LA ND ER HO LM RD N E 33 4 TH S T N E B R O T H E R S R D NE 3 4 5 T H C I R NE 21S T AV E N E F I N A...

154

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

155

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

156

AMCHITICA ISLAND, ALASKA  

Office of Legacy Management (LM)

Environment o Environment o f AMCHITICA ISLAND, ALASKA hlelvin L. hlerritt Sandia Laboratories Albuquerque, New Mexico Editors R. Glen Fuller Battelle Colu~nbus Laboratories Columbus, Ohio Prepared for Division of Military Application Energy Research and Development Administration Published by Technical Infor~nation Center Energy Research and Development Administration Library of Congress Cataloging in Pt~blication Data hlain entry under title: The Environment of Amchitka Island, Alaska "TlD-26712." Bibliography: p. Includrs indcx. 1. Eeology-Alarka-Amchirka Island. 2. Underground nuclear explorions-lIsland. 3. Cannikin Projcct. I. hlerritt, hlelvin Leroy, 1921- 11. Fuiler, Rtxeben Glen, 1910- 111. United Stater. Energy Research and Development

157

Delivering Energy Efficiency to Middle Income Single Family Households  

E-Print Network [OSTI]

Neighborhood Program GETS – Green Energy Training ServicesGJGEI – Green Jobs, Green Energy Initiative CEWO – Cleanincome households. The Green Energy Training Services (GETS)

Zimring, Mark

2012-01-01T23:59:59.000Z

158

Barriers to household investment in residential energy conservation: preliminary assessment  

SciTech Connect (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

159

Economic theory and women's household status: The case of Japan  

Science Journals Connector (OSTI)

Economic development disadvantages wives. Conventional microeconomic theory predicts this. As household incomes rise, wives have incentives to specialize in intangible household production. This may raise total household production according to the theory of comparative advantage, but disproportionately favors husbands in distribution of the gains according to the marginal productivity theory of distribution. Wives may become better off in absolute terms but more dependent financially on their husbands and lose power within the household. Historically, Japanese gender roles became highly specialized and wives’ legal status declined, although other Meiji-era features protected wives. Policies to improve women's status should address the precise economic problem involved.

Barbara J. Redman

2008-01-01T23:59:59.000Z

160

Confronting earthquake risk in Japan—are private households underinsured?  

Science Journals Connector (OSTI)

Despite the fact that Japan is an earthquake-prone country and Japanese ... risk averse, less than half of Japanese households are insured against earthquake risk. Based on...

Franz Waldenberger

2013-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Salmon consumption at the household level in Japan.  

E-Print Network [OSTI]

??The primary purpose of this study is to investigate the salmon demand of Japanese households. The specific goals are to illuminate the substitutional relationship between… (more)

Kikuchi, Akihiro

1987-01-01T23:59:59.000Z

162

Consumer perspectives on household hazardous waste management in Japan  

Science Journals Connector (OSTI)

We give an overview of the management systems of household hazardous waste (HHW) in Japan and discuss the management systems and their...

Misuzu Asari; Shin-ichi Sakai

2011-02-01T23:59:59.000Z

163

NE SARE Arbuscular Mycorrhiza Research following canola  

E-Print Network [OSTI]

NE SARE Arbuscular Mycorrhiza Research Corn grown following canola Corn grown following soybeans The planting of canola, a non-mycorrhizal crop, has been shown to reduce arbuscular mycorrhizal fungi following canola. To address this problem, we intercropped canola with oats, a mycorrhizal crop

Kaye, Jason P.

164

MiniBooNE QE Cross Section Data Release  

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

to the public: CCQE cross sections: MiniBooNE flux table of predicted MiniBooNE muon neutrino flux (Table V) flux-integrated double differential cross section (Figure 13)...

165

Intra-Household Inequality in Transitional Russia Ekaterina Kalugina  

E-Print Network [OSTI]

1 Intra-Household Inequality in Transitional Russia Ekaterina Kalugina Natalia Radtchenko Catherine and satisfaction. Using two different subjective questions of the Russian data RLMS (Russia Longitudinal Monitoring and social changes in Russia, we investigate the dynamics of household behavior. Keywords: subjective data

Paris-Sud XI, Université de

166

Controlling Households' Drilling Fever in France: an economic modeling approach  

E-Print Network [OSTI]

to generate environmental benefits through reducing water use, has produced economic incentives for households; France; households; domestic boreholes; tube well; water pricing. Author-produced version Fourth World negative environmental impact of water price increase in the drinking water sector. Using primary data

Boyer, Edmond

167

Assimilation and differences between the settlement patterns of individual immigrants and immigrant households  

Science Journals Connector (OSTI)

...delineate directions for future household-scale investigations of...Categorization: Individuals or Households? The concentration on the...individual bodies. Of course, household structure and geographic context...children compared with non-Hispanic white children hinge on such...

Mark Ellis; Richard Wright

2005-01-01T23:59:59.000Z

168

Efficient Use of Commercial Lists in U.S. Household Sampling  

Science Journals Connector (OSTI)

......educational attainment, Hispanic ethnicity, household income, and home tenure...on the two persons in the household as well as the Hispanic ethnicity status of the head of household (assuming that the Hispanic ethnicity status of persons......

Richard Valliant; Frost Hubbard; Sunghee Lee; Chiungwen Chang

2014-06-01T23:59:59.000Z

169

A theoretical and simulation-based examination of household vehicle choice through an adoption perspective  

E-Print Network [OSTI]

=2 Senior h =3 Table 17: Japan household income distributionto 2005 Japan Census (millions of households)). CHAPTER 5.same shifts of household dynamics as Japan (i.e. lower birth

Liu, Jenny Hsing-I

2010-01-01T23:59:59.000Z

170

Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions  

Science Journals Connector (OSTI)

...ineffective in reducing household energy consumption. Mass media...10 years. The changes in household behavior outlined above result...European Union countries and Japan, where the household sector is less energy intensive. Analyses similar...

Thomas Dietz; Gerald T. Gardner; Jonathan Gilligan; Paul C. Stern; Michael P. Vandenbergh

2009-01-01T23:59:59.000Z

171

Fox Islands Electric Coop, Inc | Open Energy Information  

Open Energy Info (EERE)

Fox Islands Electric Coop, Inc Fox Islands Electric Coop, Inc Place Maine Utility Id 8780 Utility Location Yes Ownership C NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Service Commercial Large Commercial Service Commercial Large Power Service Commercial Outdoor Lighting Service Lighting Residential Peak Period Service Residential Residential Service Residential Small Power Service Commercial Street Light Service 100HP sodium Lighting Street Light Service 175 Mercury Lighting Average Rates

172

Fishers Island Utility Co Inc | Open Energy Information  

Open Energy Info (EERE)

Utility Co Inc Utility Co Inc Jump to: navigation, search Name Fishers Island Utility Co Inc Place New York Utility Id 6369 Utility Location Yes Ownership I NERC Location NPCC NERC NPCC Yes ISO NE Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Class 5 Commercial Residential Class 1 Residential Residential Class 2 Residential Residential Class 7 Residential Average Rates Residential: $0.3290/kWh Commercial: $0.2550/kWh The following table contains monthly sales and revenue data for Fishers Island Utility Co Inc (New York).

173

Compton profiles of Ne, Ar, and Kr  

Science Journals Connector (OSTI)

Compton profiles of Ne, Ar, and Kr are calculated from ground-state energies and wave functions with full correlation contributions included. The latter is carried out by regarding atoms as inhomogeneous interacting electron-gas systems using the Kohn-Sham self-consistent scheme in the local-density approximation. The calculated values are brought closer to the experimental values from Hartree-Fock results. There are numerical problems for large atoms.

B. Y. Tong and L. Lam

1978-08-01T23:59:59.000Z

174

NE Oregon Wildlife Project "Precious Lands"  

E-Print Network [OSTI]

NE Oregon Wildlife Project "Precious Lands" Managed by The Nez Perce Tribe Angela C. Sondenaa, Ph Oct 1996 Helm 10,306 $2,660,674.00 Sept 1998 Graham Tree farm 158 $402,453.00 Aug 1999 Beach Ranch 1 of shrub sub-canopy Project Goals: 40-70% tree canopy cover 35-65% shrub canopy cover > 3.5 snags 6-10" dbh

175

"Table HC7.10 Home Appliances Usage Indicators by Household...  

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

0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1"...

176

E-Print Network 3.0 - acute household accidental Sample Search...  

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

Evaluating the health benefits of transitions in household energy Summary: ; Household energy; Indoor air pollution; Intervention assessment; Kenya 1. Introduction Acute...

177

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

E-Print Network [OSTI]

of household refrigerators and freezers 2 . Therefore, thesales of the refrigerators and freezers are about 20.6for household refrigerators and freezers has been updated

Lin, Jiang

2006-01-01T23:59:59.000Z

178

Modeling households’ decisions on reconstruction of houses damaged by earthquakes––Japanese case study  

Science Journals Connector (OSTI)

In this study, households’ decisions on reconstruction of damaged houses were modeled, using questionnaire data in Japan. Characteristics of households’ decisions were investigated using parameter estimation resu...

H. Sakakibara; H. Murakami; S. Esaki; D. Mori; H. Nakata

2008-02-01T23:59:59.000Z

179

Midway Islands: Language Situation  

Science Journals Connector (OSTI)

The Midway Islands, a coral atoll in the North Pacific Ocean, is a U.S.-administered wildlife refuge currently closed to the public. The population now consists of about 40 people, the staff of the U.S. Fish and Wildlife Service, a division of the Department of the Interior. The official language of Midway is English.

2006-01-01T23:59:59.000Z

180

Projecting household energy consumption within a conditional demand framework  

SciTech Connect (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

Note: This page contains sample records for the topic "islander households ne" 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

Projecting household energy consumption within a conditional demand framework  

SciTech Connect (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.

1991-01-01T23:59:59.000Z

182

NE Blog Archive | Department of Energy  

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

Blog Archive Blog Archive NE Blog Archive RSS December 31, 2013 GIF Policy Group Meeting in Brussels, Belgium, November 2013 Generation IV International Forum Updates Technology Roadmap and Builds Future Collaboration The Generation IV International Forum (GIF) held its 36th Policy Group (PG) meeting on November 21-22 in Brussels, Belgium. The PG reviewed progress on a number of on-going actions and received progress reports from the GIF Experts Group (EG) and the GIF Senior Industry Advisory Panel (SIAP). December 12, 2013 The basics of small modular reactor technology explained. | Infographic by Sarah Gerrity, Energy Department. Advancing Small Modular Reactors: How We're Supporting Next-Gen Nuclear

183

Microsoft PowerPoint - NE- Milton  

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

University University Program (NEUP) Presentation to Vice Presidents of Research and Development of Historically Black Colleges and Universities Ingrid M. Milton Department of Energy Office of Nuclear Energy July 9, 2009 195725 (2) Overview The Office of Nuclear Energy (NE) is committed to strengthening the Nation's educational programs in nuclear science and engineering. * Established the Nuclear Energy University Program (NEUP). * Award grants and contracts through competitive selection process. NEUP enables universities to maintain and expand their nuclear science curriculum and programs to ensure future availability of technical experts for U.S. nuclear programs. * NEUP is managed by the Center for Advanced Energy Studies (CAES). 2 195725 (3) Nuclear Energy University Program -

184

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.

185

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.

186

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

187

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

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

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

188

Fact #614: March 15, 2010 Average Age of Household Vehicles  

Broader source: Energy.gov [DOE]

The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first...

189

Table 2. Percent of Households with Vehicles, Selected Survey...  

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

or More","NA","NA",93.75,96.42857143,91.27516779,97.46835443 "Race of Householder1" " White",88.61111111,"NA",91.54929577,91.68704156,90.27093596,92.77845777 " Black...

190

Fact #748: October 8, 2012 Components of Household Expenditures...  

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

but then declined until about 2004 when gasoline and motor oil expenditures began to rise again. The share of household expenditures on gasoline and oil was exactly the same...

191

Householder Symposium on Numerical Linear Algebra June 1721, 2002  

E-Print Network [OSTI]

for discussions. This year's symposium is held at Peebles Hotel Hydro in the small town of Peebles (populationHouseholder Symposium on Numerical Linear Algebra June 17­21, 2002 Peebles Hotel Hydro, Scotland

Higham, Nicholas J.

192

The impact of retirement on household consumption in Japan  

Science Journals Connector (OSTI)

Using monthly data from the Japanese Family Income and Expenditure Survey, we examine the impact of retirement on household consumption. We find little evidence of an immediate change in consumption at retirement, on average, in Japan. However, we find a decrease in consumption at retirement for low income households that is concentrated in food and work-related consumption. The availability of substantial retirement bonuses to a large share of Japanese retirees may help smooth consumption at retirement. We find that those households that are more likely to receive such bonuses experience a short-run consumption increase at retirement. However, among households that are less likely to receive a retirement bonus, we find that consumption decreases at retirement.

Melvin Stephens Jr.; Takashi Unayama

2012-01-01T23:59:59.000Z

193

NUCLEAR ISLANDS International Leasing  

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

ISLANDS ISLANDS International Leasing of Nuclear Fuel Cycle Sites to Provide Enduring Assurance of Peaceful Use Christopher E. Paine and Thomas B. Cochran Current International Atomic Energy Agency safeguards do not provide adequate protection against the diversion to military use of materials or technology from certain types of sensitive nuclear fuel cycle facilities. In view of highly enriched uranium's relatively greater ease of use as a nuclear explosive material than plutonium and the significant diseconomies of commercial spent fuel reprocessing, this article focuses on the need for improved international controls over uranium enrichment facilities as the proximate justification for creation of an International Nuclear Fuel Cycle Association (INFCA). In principle, the proposal is equally applicable to alleviating the proliferation concerns provoked by nuclear fuel

194

Rhode Island.indd  

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

Rhode Island Rhode Island www.effi cientwindows.org March 2013 1. Meet the Energy Code and Look for the ENERGY STAR ® Windows must comply with your local energy code. Windows that are ENERGY STAR qualifi ed typically meet or exceed energy code requirements. To verify if specific window energy properties comply with the local code requirements, go to Step 2. 2. Look for Effi cient Properties on the NFRC Label The National Fenestration Rating Council (NFRC) label is needed for verifi cation of energy code compliance (www.nfrc. org). The NFRC label displays whole- window energy properties and appears on all fenestration products which are part of the ENERGY STAR program.

195

Household energy consumption and its demand elasticity in Thailand  

Science Journals Connector (OSTI)

This study concentrates on the analysis of energy consumption, expenditure on oil and LPG use in cars and aims to examine the elasticity effect of various types of oil consumption. By using the Deaton's analysis framework, the cross-sectional data of Thai households economic survey 2009 were used. By defining energy goods in the scope of automobile fuel, the results reflect the low importance of high-quality automobile fuel on all income level households. Thai households tend to vary the quality rather than the quantity of thermal energy. All income groups have a tendency to switch to lower quality fuel. Middle and high-middle households (Q3 and Q4) are the income groups with the greatest tendency to switch to lower-quality fuel when a surge in the price of oil price occurs. The poorest households (Q1) are normally insensitive to a change of energy expenditure in terms of quality and quantity. This finding illustrates the LPG price subsidy policy favours middle and high-middle income households. The price elasticity of energy quantity demand is negative in all income levels. High to middle income families are the most sensitive to changes in the price of energy.

Montchai Pinitjitsamut

2012-01-01T23:59:59.000Z

196

Ventilation Behavior and Household Characteristics in NewCalifornia Houses  

SciTech Connect (OSTI)

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

197

Transferring 2001 National Household Travel Survey  

SciTech Connect (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

198

Microsoft PowerPoint - MiniBooNE Neutrino 2008  

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

Oscillation Searches Steve Brice (Fermilab) for the MiniBooNE Collaboration Neutrino 2008 Neutrino 2008 Steve Brice (FNAL) 2 Outline * Electron Neutrino Appearance - Oscillation...

199

Delivering Energy Efficiency to Middle Income Single Family Households  

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

200

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

E-Print Network [OSTI]

EV,then we expect 13.3 to 15.2% of all light-duty vehicle sales,EV marketpotential for smaller and shorter range velucles represented by our sampleis about 7%of annual, newhght duty vehicle sales.EV body styles" EVs ICEVs Total PAGE 66 THE HOUSEHOLD MA RKET FOR ELECTRIC VEHICLES percent mandatein the year 2003will dependon sales

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

NE Press Releases | Department of Energy  

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

Press Releases Press Releases NE Press Releases RSS December 12, 2013 Energy Department Announces New Investment in Innovative Small Modular Reactor The Energy Department tannounced an award to NuScale Power LLC to support a new project to design, certify and help commercialize innovative small modular reactors in the United States. November 12, 2013 Public Invited to Comment on Draft Environmental Assessment for the Resumption of Transient Testing of Nuclear Fuels and Materials The U.S. Department of Energy invites the public to read and comment on a draft environmental assessment it has prepared for a proposal to resume transient testing of nuclear fuels and materials at either Idaho National Laboratory (INL) or Sandia National Laboratories (SNL). November 4, 2013 Factsheet: Second Meeting of the United States-Japan Bilateral Commission

202

Notices 888 First Street, NE., Washington, DC  

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

11 Federal Register 11 Federal Register / Vol. 76, No. 122 / Friday, June 24, 2011 / Notices 888 First Street, NE., Washington, DC 20426. The filings in the above-referenced proceeding are accessible in the Commission's eLibrary system by clicking on the appropriate link in the above list. They are also available for review in the Commission's Public Reference Room in Washington, DC. There is an eSubscription link on the Web site that enables subscribers to receive e-mail notification when a document is added to a subscribed docket(s). For assistance with any FERC Online service, please e-mail FERCOnlineSupport@ferc.gov or call (866) 208-3676 (toll free). For TTY, call (202) 502-8659. Dated: June 20, 2011. Kimberly D. Bose, Secretary. [FR Doc. 2011-15859 Filed 6-23-11; 8:45 am]

203

Notices 888 First Street NE., Washington, DC  

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

53 Federal Register 53 Federal Register / Vol. 78, No. 56 / Friday, March 22, 2013 / Notices 888 First Street NE., Washington, DC 20426. This filing is accessible on-line at http://www.ferc.gov, using the ''eLibrary'' link and is available for review in the Commission's Public Reference Room in Washington, DC. There is an ''eSubscription'' link on the Web site that enables subscribers to receive email notification when a document is added to a subscribed docket(s). For assistance with any FERC Online service, please email FERCOnlineSupport@ferc.gov, or call (866) 208-3676 (toll free). For TTY, call (202) 502-8659. Comment Date: 5:00 p.m. Eastern Time on April 2, 2013. Dated: March 15, 2013. Kimberly D. Bose, Secretary. [FR Doc. 2013-06602 Filed 3-21-13; 8:45 am] BILLING CODE 6717-01-P

204

Mr. Andrew Wallo, III, NE-23  

Office of Legacy Management (LM)

suite 7900,955 L%l/onr Plaza, S. W., Washingion, D.C. 20024.?174,, Telephone: (202) 488.~ suite 7900,955 L%l/onr Plaza, S. W., Washingion, D.C. 20024.?174,, Telephone: (202) 488.~ Mr. Andrew Wallo, III, NE-23 Division of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 7117~03.87.dy.43 23 September 1987 I j / Dear Mr. Wallo: I ELIMINATION RECOMMENDATION -- COLLEGES AND UN&ITIES I . The attached elimination recommendation was prepared in accordance with your suggestion during our meeting on 22 September!. The recommend includes 26 colleges and universities identified,in Enclosure 4 to Aerospace letter subject: Status of Actions 27 May 1987; three institutions (Tufts and the University of Washington) currently list of sites under consideration; and six institutions tified during a search of Hanford records.

205

M r. Andrew Wallo, III, NE-23  

Office of Legacy Management (LM)

300.955 L*Enfom Plaza, S. Iv.. Washrhington. D.C. 200242174, Tekphonc (202) 300.955 L*Enfom Plaza, S. Iv.. Washrhington. D.C. 200242174, Tekphonc (202) 7117-03.87.cdy.43 23 September 1987 M r. Andrew Wallo, III, NE-23 Division of Facility & Site Deconnnissioning Projects U.S. Department of Energy Germantown, Maryland 20545 Dear M r. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES The attached elimination recommendation was prepared in accordi with your suggestion during our meeting on 22 September. The reconu includes 26 colleges and universities identified.in Enclosure 4 to Aerospace letter subject: Status of Actions - FUSRAP Sites List, da: 27 May 1987; three institutions.(Tufts College, University of Virgil and the University of Washington) currently identified'on the FUSFN list of sites under consideration; and six.institutions recently idI

206

Mr. Andrew Wallo, III, NE-23  

Office of Legacy Management (LM)

9% L'Enfam Plaza, S, W.. Warhin@on, D.C. 2002ijl74j Tekphow (202) 488ddO 9% L'Enfam Plaza, S, W.. Warhin@on, D.C. 2002ijl74j Tekphow (202) 488ddO 7117-03.87.cdy.'i3 23 September 1967 ~ s ~ Mr. Andrew Wallo, III, NE-23 Oivision of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 Dear Mr. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND IJNIVFRSITIES , The attached elimination reconnnendation was prepar!ad in accordance with your suggestion during our meeting on 22 September! The recommendation includes 26 colleges and universities identified,in Enclosure 4 to Aerospace letter subject: Status of Actions - FUSRAP Site List, dated 27 May 1987; three institutions (Tufts College, University of Virginia, and the University of Washington) currently identified!on ithe FUSRAP list of sites under consideration; and six institutions recently iden-

207

REPLY TO ATTN OF NE-301  

Office of Legacy Management (LM)

N\I&?' d,' g N\I&?' d,' g 4 DATE. fdov 2 5 1980 REPLY TO ATTN OF NE-301 .* - memoraadu SUBJECT Remedial Action for Linde Air Products Plant, Tonawanda, New York TO W. E. Mott, EV In view of the General Counsel's reconsideration of the authority to proceed with remedial action on this site and your determination that remedial action is needed to protect the public health and safety, we will include this site in our program for remedial action. of this memorandum. Oak Ridge is requested to do so by copy I am somewhat surprised at the urgency of remedial action which you implied in your memorandum since your previous memorandum designating this site stated that it has a low priority. The site radiological survey report DOE/EV-005/5 concludes that air and water contamination were below the non-occupational

208

MiniBooNE Oscillation Results 2011  

SciTech Connect (OSTI)

The MiniBooNE neutrino oscillation search experiment at Fermilab has recently updated results from a search for {bar {nu}}{sub {mu}} {yields} {bar {nu}}{sub e} oscillations, using a data sample corresponding to 8.58 x 10{sup 20} protons on target in anti-neutrino mode. This high statistics result represent an increase in statistics of 52% compared to result published in 2010. An excess of 57.7 {+-} 28.5 events is observed in the energy range 200 MeV < E{sub {nu}} < 3000 MeV. The data favor LSND-like {bar {nu}}{sub {mu}} {yields} {bar {nu}}{sub e} oscillations over a background only hypothesis at 91.1% confidence level in the energy range 475 < E{sub {nu}} < 3000 MeV.

Djurcic, Zelimir

2012-01-01T23:59:59.000Z

209

Galveston Island and erosion  

E-Print Network [OSTI]

GALVESTON ISLAND AND EROSION A Thesis by JIM MASON BOLLETER Approved as to styIe and content by: . R. Benton (Chairman of Com sttee) Rooert E. Randa (Member) hris opher . Mathewson (Member) Dona d M1cDona d (Head of Department) May 1985... of the seawal 1, a reduced longshore sediment supply from the Mississippi River and, possibly, accelerated sea-level rise. ACKNOWLEDGEMENTS This thesis is the end result of a study funded by the Sea Grant College Program of the National Dceanic...

Bolleter, Jim Mason

2012-06-07T23:59:59.000Z

210

Islands in the landscape  

E-Print Network [OSTI]

The string theory landscape consists of many metastable de Sitter vacua, populated by eternal inflation. Tunneling between these vacua gives rise to a dynamical system, which asymptotically settles down to an equilibrium state. We investigate the effects of sinks to anti-de Sitter space, and show how their existence can change probabilities in the landscape. Sinks can disturb the thermal occupation numbers that would otherwise exist in the landscape and may cause regions that were previously in thermal contact to be divided into separate, thermally isolated islands.

T. Clifton; Andrei Linde; Navin Sivanandam

2007-01-10T23:59:59.000Z

211

NE-23 List of California Sites NE-23 Hattie Car-well, SAN/NSQA Division  

Office of Legacy Management (LM)

NE-23 NE-23 Hattie Car-well, SAN/NSQA Division Attached for your information is the list of California sites we identified in our search of Manhattdn Engineer District records for the Formerly Utilized Sites Remedial Action Program (FUSRAP). None of the facilities listed qualified"fbr'FUSRAP:'~- The only site in California,that was included in FUSRAP was Gilman Hall on the University of California-Berkeley Campus. All California sites that are in our Surplus Facilities Management Prcgram are under San Francisco Operations and are at the Santa Susana Field Laboratory or the University of California-Davis. If you have questions on any of the sites on the list, please call me at FTS 233-5439. /ct( Andrew Walls III. Desiynation and Certification Manager

212

Thematic Review Conservation of Biodiversity on Islands  

E-Print Network [OSTI]

Thematic Review Conservation of Biodiversity on Islands: The contribution of the United Kingdom............................................................................................. 11 3. THE BIODIVERSITY OF ISLANDS INVOLVED WITH DI PROJECTS ........................................................................................... 49 6. THE DARWIN INITIATIVE'S CONTRIBUTION TO THE CBD'S ISLAND BIODIVERSITY PROGRAMME OF WORK

213

NE Pacific Basin --Tagging Data Kate Myers, Ph.D.  

E-Print Network [OSTI]

Ocean B: NE Pacific Basin --Tagging Data Kate Myers, Ph.D. Principal Investigator, High Seas Salmon ocean tagging research on Columbia River salmon and steelhead migrating in the NE Pacific Basin R. Basin in 1995-2004. Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, B

214

Energy Consumption of Refrigerators in Ghana - Outcomes of Household  

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

215

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

216

Water Related Energy Use in Households and Cities - an Australian  

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

217

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

218

An exploratory study of Spanish households' WEEE disposal behaviour  

Science Journals Connector (OSTI)

This paper presents the findings of an exploratory study based on a survey of 1,537 households in Spain. The questionnaire included 23 key questions regarding the number of appliances in use, previous appliances lifetimes, reasons for buying each new appliance and end-of-life handling of discarded appliances. The distribution of the households along a number of relevant factors was analysed and a prototypical household was identified. A non-parametric analysis of the duration of each type of appliance has also been carried out and it was found that television sets are the most durable of the appliances considered. Survival rates for irons fall more rapidly than for microwaves. Moreover, television sets are the most durable of the appliances considered. Replacement rates of personal computers rapidly increase after approximately six to eight years. Finally, a statistical analysis of the respondents motivations for recycling the appliances considered in this study was carried out.

Ester Gutiérrez; Belarmino Adenso-Díaz; Sebastián Lozano; Plácido Moreno

2011-01-01T23:59:59.000Z

219

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

220

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

Note: This page contains sample records for the topic "islander households ne" 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

Small-Scale Solar Grants (Rhode Island)  

Broader source: Energy.gov [DOE]

The Rhode Island Economic Development Corporation (RIEDC) provides incentives for renewable-energy projects. Incentive programs are funded by the Rhode Island Renewable Energy Fund (RIREF) and...

222

Hainan Green Islands Power | Open Energy Information  

Open Energy Info (EERE)

Green Islands Power Jump to: navigation, search Name: Hainan Green Islands Power Place: Hainan Province, China Sector: Solar Product: China-based JV developing on-grid solar...

223

Bainbridge Island Data Dashboard | Department of Energy  

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

Data Dashboard Bainbridge Island Data Dashboard The data dashboard for Bainbridge Island, a partner in the U.S. Department of Energy's Better Buildings Neighborhood Program....

224

Energy demand of German households and saving potential  

Science Journals Connector (OSTI)

The implementation of the principles of sustainable development requires both using potentialities in saving resources and cutting down emissions (efficiency strategies) as well as more conscious patterns of behaviour of the actors involved (sufficiency strategies). Starting from the current situation of annual CO2 emissions of about 10 t and a sustainability goal of 1â??2 t CO2 emissions per inhabitant and year, the question arises in how far households can contribute to achieve this goal. Therefore, in this paper, the environmental impacts of the energy demand of German households will be evaluated by means of describing its status quo and there from deriving saving potentials.

Anke Eber; Dominik Most; Otto Rentz; Thomas Lutzkendorf

2008-01-01T23:59:59.000Z

225

Household solid waste characteristics and management in Chittagong, Bangladesh  

SciTech Connect (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 < 0.05), education level (r{sub xy} = 0.244, p < 0.05) and monthly income (r{sub xy} = 0.671, p < 0.01) of the households. Municipal authorities are usually the responsible agencies for solid waste collection and disposal, but the magnitude of the problem is well beyond the ability of any municipal government to tackle. Hence dwellers were found to take the service from the local waste 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

226

Island Wide Management Corporation  

Office of Legacy Management (LM)

9 1986 9 1986 Island Wide Management Corporation 3000 Marcus Avenue Lake Success, New York 11042 Dear Sir or Madam: I am sending you this letter and the enclosed information as you have been identified by L. I. Trinin of Glick Construction Company as the representatives of the owners of the property that was formerly the site of the Sylvania-Corning Nuclear Corporation in Bayside, New York. The Department of Energy is evaluating the radiological condition of sites that were utilized under the Manhattan Engineer District and/or the Atomic Energy Commission in the early years of nuclear energy development to determine whether they need remedial action and whether the Department has authority to perform such action. As you may know, the former Sylvania-Corning Corporation Bayside site was identified as one such site.

227

Oscillations results from the MiniBooNE experiment Alexis Aguilar...  

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

Alexis Aguilar-Arvalo (ICN-UNAM), for the MiniBooNE collaboration SILAFAE 2010 10 December 2010, Valparaso, Chile 2 Outlook MiniBooNE Motivation MiniBooNE Description...

228

Mr. Andrew Wallo, III, NE-23  

Office of Legacy Management (LM)

300, 955 L'E~~MI Phm.SW.:. Washin@on. LX. 200242174, T~kphonc(202)48ll. 5 300, 955 L'E~~MI Phm.SW.:. Washin@on. LX. 200242174, T~kphonc(202)48ll. 5 7117-03.87.cdy.43 23 September 1987 cA Mr. Andrew Wallo, III, NE-23 Division of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 Dear Mr. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES M/).0-05 pl 0.0% The attached elimination recommendation was prepared in accordance ML.05 with your suggestion during our meeting on 22 September. The recommendation flD.o-02 includes 26 colleges and universities identified.in Enclosure 4 to Aerospace letter subject: Status of Actions - FUSRAP Site List, dated NO.03. 27 May 1987; three institutions (Tufts College, University of Virginia, rJc..of and the University of Washington) currently identified on the FUSRAP

229

CA Mr. Andrew Wallo, III, NE-23  

Office of Legacy Management (LM)

?9OQ, 95.5 L'E&nt Plaza, SW.. W.ashin@.m, D.C. 20024.2174, Tekphone: (202) 488AQOO ?9OQ, 95.5 L'E&nt Plaza, SW.. W.ashin@.m, D.C. 20024.2174, Tekphone: (202) 488AQOO 7117-03.B7.cdy.43 23 September 1987 CA Mr. Andrew Wallo, III, NE-23 Division of Facility & Site Decommissioning Projects U.S. Oepartment of Energy Germantown, Maryland 20545 Dear Mr. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES zh/ ! o-01 lM!tl5 ML)!o-05 PI 77!0> The attached elimination recoannendation was prepared in accordance . -1 rlL.0~ with your suggestion during our meeting on 22 September. The recommendation flD.o-02 includes 26 colleges and universities identified~in Enclosure 4 to Aerospace letter subject: Status of Actions - FUSRAP Site List, dated MO.07. 27 May 1987; three institutions (Tufts College, University of Virginia, UCIIOJ and the University of Washington) currently identified on the FUSRAP

230

MiniBooNE liner integrity study  

SciTech Connect (OSTI)

The civil construction for the MiniBooNE project includes a 50-m decay path and beam absorbers. The decay path is a six-foot diameter corrugated metal pipe (CMP). To prevent activation of the groundwater, the CMP and beam absorbers are surrounded by crushed aggregate, and enclosed in a double-walled geotextile membrane, referred to as the liner. The minimum distance from the beam centerline to the liner is 10 feet. The double-wall construction of the liner forms three regions, the containment volume, the interstitial volume, and the exterior. Each of these volumes is connected to monitoring wells at both the upstream and downstream ends of the decay volume, i.e. a total of six monitoring pipes extend to the surface. To confirm the integrity of the liner system following its placement, the firm Earth Tech was contracted to perform tests. Michael Williams was the primary contact with Earth Tech. The following is the report from Earth Tech, with minor changes in the interest of clarity. A sketch of the decay region is shown; only one of the layers of the liner is shown, and only one monitoring port. At the time of these tests, the excavation in general, but particularly in the vicinity of the monitoring wells had not been backfilled in the final grade, as indicated by the dashed lines.

Ray Stefanski, Phil Martin and Jeff Sims

2001-11-09T23:59:59.000Z

231

Pion inelastic scattering from sup 20 Ne  

SciTech Connect (OSTI)

Angular distributions for {sup 20}Ne({pi}{sup {plus minus}}, {pi}{sup {plus minus}}{prime}) were measured on the Energetic Pion Channel and Spectrometer (EPICS) at the Clinton P. Anderson Meson Physics Facility (LAMPF). Data were taken with both {pi}{sup {plus}} and {pi}{sup {minus}} over an angular range of 12{degree} to 90{degree} for T{sub {pi}}=180 MeV and with {pi}{sup +} from 15{degree} to 90{degree} for T{sub {pi}}=120 MeV. The data were analyzed using both the distorted-wave impulse approximation (DWIA) and the coupled-channels impulse approximation (CCIA) with collective transition densities. In addition, microscopic transition densities were used in the DWIA analysis for states in the lowest rotational bands. The transitions to the 6.73-MeV 0{sup +} and several 1{sup {minus}} states, including the states at 5.79 MeV and 8.71 MeV, were studied using several models for the transition density. Strong evidence for the importance of two-step routes in pion inelastic scattering was seen in several angular distributions, including the 5.79-MeV 1{sup {minus}}, the first three 4{sup +} states, and the 8.78-MeV 6{sup +}. 100 refs., 81 figs., 33 tabs.

Burlein, M. (Pennsylvania Univ., Philadelphia, PA (USA). Dept. of Physics)

1989-12-01T23:59:59.000Z

232

Exploring Neutrino Interactions with MicroBooNE  

E-Print Network [OSTI]

Recently, MiniBooNE observed an electromagnetic excess at low energy. What is the nature of this excess? What about the nature of the low-energy excess at LSND 20 years ago? The MicroBooNE detector will see neutrinos from the same Booster beam at Fermilab as used by MiniBooNE. MicroBooNE's design will enable us to discriminate photons from electrons elucidating the MiniBooNE and LSND low-energy electromagnetic excesses. MicroBooNE is a 170 ton liquid argon time projection chamber (LArTPC) capable of imaging neutrino interactions with the detail of a bubble chamber, but with electronic data acquisition and processing. In addition to shining light on the low-energy excesses and measuring low-energy neutrino cross sections, MicroBooNE is leading the way for a more extensive short-baseline neutrino physics program at Fermilab and it also serves as a R&D project towards a long-baseline multi-kiloton scale LArTPC detector.

Tia Miceli

2014-11-17T23:59:59.000Z

233

Exploring Neutrino Interactions with MicroBooNE  

E-Print Network [OSTI]

Recently, MiniBooNE observed an electromagnetic excess at low energy. What is the nature of this excess? What about the nature of the low-energy excess at LSND 20 years ago? The MicroBooNE detector will see neutrinos from the same Booster beam at Fermilab as used by MiniBooNE. MicroBooNE's design will enable us to discriminate photons from electrons elucidating the MiniBooNE and LSND low-energy electromagnetic excesses. MicroBooNE is a 170 ton liquid argon time projection chamber (LArTPC) capable of imaging neutrino interactions with the detail of a bubble chamber, but with electronic data acquisition and processing. In addition to shining light on the low-energy excesses and measuring low-energy neutrino cross sections, MicroBooNE is leading the way for a more extensive short-baseline neutrino physics program at Fermilab and it also serves as a R&D project towards a long-baseline multi-kiloton scale LArTPC detector.

Miceli, Tia

2014-01-01T23:59:59.000Z

234

The Travel Behavior of Immigrants and Race/Ethnicity Groups: An Analysis of the 2001 National Household Transportation Survey  

E-Print Network [OSTI]

the average household size for Hispanic respondents isper year, while households of black and Hispanic respondentsHispanic” versus “settled” and native born residents. Vehicle ownership is highly correlated with mode choice as households

Handy, Susan L; Tal, Gil

2005-01-01T23:59:59.000Z

235

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

Gasoline and Diesel Fuel Update (EIA)

... 32.8 17.2 307 13.4 16.1 14.2 2.0 21.3 14.1 Race of Householder White... 149.5 78.3 1,774 77.6...

236

THE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD  

E-Print Network [OSTI]

energy-using devices in the average U.S. household that used over 4,700 kWh of electricity, natural gas.46]. The cost of these devices was also statistically significant. Keywords: electricity use; energy efficiency the Canadian Industrial Energy End Use Data and Analysis (CIEEDAC) for their financial support made possible

237

EIS-0006: Wind Turbine Generator System, Block Island, Rhode Island  

Broader source: Energy.gov [DOE]

The U.S. Department of Energy prepared this EIS to evaluate the environmental impacts of installing and operating a large experimental wind turbine, designated the MOD-OA, which is proposed to be installed on a knoll in Rhode Island's New Meadow Hill Swamp, integrated with the adjacent Block Island Power Company power plant and operated to supply electricity to the existing utility network.

238

Household Segmentation in Food Insecurity and Soil Improving Practices in Ghana  

E-Print Network [OSTI]

secure household, and households farming medium quality soil increase the probability of adopting soil improving practices. Application of chemical fertilizers, commercial seeds, and pesticides, along with operating under a seasonal lease tenure...

Nata, Jifar T

2013-08-09T23:59:59.000Z

239

Logistic regression models for predicting trip reporting accuracy in GPS-enhanced household travel surveys  

E-Print Network [OSTI]

This thesis presents a methodology for conducting logistic regression modeling of trip and household information obtained from household travel surveys and vehicle trip information obtained from global positioning systems (GPS) to better understand...

Forrest, Timothy Lee

2007-04-25T23:59:59.000Z

240

Fact #747: October 1, 2012 Behind Housing, Transportation is the Top Household Expenditure  

Broader source: Energy.gov [DOE]

Except for housing, transportation was the largest single expenditure for the average American household in 2010. The average household spends more on transportation in a year than on food. Vehicle...

Note: This page contains sample records for the topic "islander households ne" 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

Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles  

Broader source: Energy.gov [DOE]

Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of...

242

Fact #729: May 28, 2012 Secondary Household Vehicles Travel Fewer Miles  

Broader source: Energy.gov [DOE]

When a household has more than one vehicle, the secondary vehicles travel fewer miles than the primary vehicle. In a two-vehicle household, the second vehicle travels less than half of the miles...

243

A Comparison of Household Budget Allocation Patterns Between Hispanic Americans and Non-Hispanic White Americans  

Science Journals Connector (OSTI)

The budget allocation patterns of Hispanic versus non-Hispanic White households are examined. Annual household expenditure data from 1980 to 1992 are ... Index (1990). The sample includes 588 Hispanic and 8,444 n...

Jessie X. Fan; Virginia Solis Zuiker

1998-06-01T23:59:59.000Z

244

The household production function approach to valuing climate: the case of Japan  

Science Journals Connector (OSTI)

In fact ours is not the first attempt to use the household production function technique empirically to estimate the ... climate and the impact of climate change on households. But our analysis uses repeated cros...

David Maddison; Katrin Rehdanz; Daiju Narita

2013-01-01T23:59:59.000Z

245

Baseline for beached marine debris on Sand Island, Midway Atoll  

Science Journals Connector (OSTI)

Baseline measurements were made of the amount and weight of beached marine debris on Sand Island, Midway Atoll, June 2008–July 2010. On 23 surveys, 32,696 total debris objects (identifiable items and pieces) were collected; total weight was 740.4 kg. Seventy-two percent of the total was pieces; 91% of the pieces were made of plastic materials. Pieces were composed primarily of polyethylene and polypropylene. Identifiable items were 28% of the total; 88% of the identifiable items were in the fishing/aquaculture/shipping-related and beverage/household products-related categories. Identifiable items were lowest during April–August, while pieces were at their lowest during June–August. Sites facing the North Pacific Gyre received the most debris and proportionately more pieces. More debris tended to be found on Sand Island when the Subtropical Convergence Zone was closer to the Atoll. This information can be used for potential mitigation and to understand the impacts of large-scale events such as the 2011 Japanese tsunami.

Christine A. Ribic; Seba B. Sheavly; John Klavitter

2012-01-01T23:59:59.000Z

246

Standby electricity consumption and saving potentials of Turkish households  

Science Journals Connector (OSTI)

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

Mustafa Cagri Sahin; Merih Aydinalp Koksal

2014-01-01T23:59:59.000Z

247

Interconnection Guidelines (Rhode Island) | Department of Energy  

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

Interconnection Guidelines (Rhode Island) Interconnection Guidelines (Rhode Island) Interconnection Guidelines (Rhode Island) < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Multi-Family Residential Nonprofit Residential Schools State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Home Weatherization Wind Program Info State Rhode Island Program Type Interconnection Provider Rhode Island Public Utilities Commission Rhode Island enacted legislation (HB 6222) in June 2011 to standardize the application process for the interconnection of customer-sited renewable-energy systems to the state's distribution grid. Rhode Island's interconnection policy is not nearly as comprehensive as

248

Rhode Island/Geothermal | Open Energy Information  

Open Energy Info (EERE)

Rhode Island Rhode Island Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Rhode Island Geothermal General Regulatory Roadmap Geothermal Power Projects Under Development in Rhode Island No geothermal projects listed. Add a geothermal project. Operational Geothermal Power Plants in Rhode Island No geothermal power plants listed. Add a geothermal energy generation facility. Geothermal Areas in Rhode Island No areas listed. GRR-logo.png Geothermal Regulatory Roadmap for Rhode Island Overview Flowchart The flowcharts listed below were developed as part of the Geothermal Regulatory Roadmap project. The flowcharts cover the major requirements for developing geothermal energy, including, land access, exploration and drilling, plant construction and operation, transmission siting, water

249

Better Buildings Neighborhood Program: Bainbridge Island, Washington  

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

Bainbridge Bainbridge Island, Washington to someone by E-mail Share Better Buildings Neighborhood Program: Bainbridge Island, Washington on Facebook Tweet about Better Buildings Neighborhood Program: Bainbridge Island, Washington on Twitter Bookmark Better Buildings Neighborhood Program: Bainbridge Island, Washington on Google Bookmark Better Buildings Neighborhood Program: Bainbridge Island, Washington on Delicious Rank Better Buildings Neighborhood Program: Bainbridge Island, Washington on Digg Find More places to share Better Buildings Neighborhood Program: Bainbridge Island, Washington on AddThis.com... Better Buildings Residential Network Progress Stories Interviews Videos Events Quick Links to Partner Information AL | AZ | CA | CO | CT FL | GA | IL | IN | LA ME | MD | MA | MI | MO

250

Alternative Fuels Data Center: Rhode Island Information  

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

Rhode Island Rhode Island Information to someone by E-mail Share Alternative Fuels Data Center: Rhode Island Information on Facebook Tweet about Alternative Fuels Data Center: Rhode Island Information on Twitter Bookmark Alternative Fuels Data Center: Rhode Island Information on Google Bookmark Alternative Fuels Data Center: Rhode Island Information on Delicious Rank Alternative Fuels Data Center: Rhode Island Information on Digg Find More places to share Alternative Fuels Data Center: Rhode Island Information on AddThis.com... Rhode Island Information This state page compiles information related to alternative fuels and advanced vehicles in Rhode Island and includes new incentives and laws, alternative fueling station locations, truck stop electrification sites, fuel prices, and local points of contact.

251

Monhegan Island | Open Energy Information  

Open Energy Info (EERE)

Monhegan Island Monhegan Island Jump to: navigation, search Name Monhegan Island Facility Monhegan Island Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Maine State Dept of Conservation Developer DeepCWind Consortium Location Atlantic Ocean ME Coordinates 43.713°, -69.317° 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":43.713,"lon":-69.317,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

252

Carribean Islands | OpenEI  

Open Energy Info (EERE)

Carribean Islands Carribean Islands Dataset Summary Description (Abstract): Monthly Average Solar Resource for horizontal flat-plate collectors, for Mexico, Central America, and the Caribbean Islands. (Purpose): Provide information on the solar resource potential for the data domain. The insolation values represent the average solar energy available to a flat plate collector, such as a photovoltaic panel, oriented horizontally. Source NREL Date Released January 31st, 2004 (10 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Carribean Islands Central America GEF GHI GIS Mexico NREL solar SWERA UNEP Data text/csv icon Download Data (csv, 370.6 KiB) application/zip icon Download Shapefile (zip, 244 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

253

Chikurachki volcano (Kurile Islands, Russia)  

E-Print Network [OSTI]

Chikurachki volcano (Kurile Islands, Russia) the unique volcano with frequent basaltic plinian-Kamchatsky, Russia #12;#12;Historical eruptions of Chikurachki Year 1853-59 1958 1961 1964 1973 1986 2002 Column

Belousov, Alexander

254

Island Cosmology in the Landscape  

E-Print Network [OSTI]

In the eternally inflationary background driven by the metastable vacua of the landscape, it is possible that some local quantum fluctuations with the null energy condition violation can be large enough to stride over the barriers among different vacua, so that create some islands full of radiation in new vacua, and then these emergently thermalized islands will enter into the evolution of standard big bang cosmology. In this paper, we calculate the spectrum of curvature perturbation generated during the emergence of island. We find that generally the spectrum obtained is nearly scale invariant, which can be well related to that of slow roll inflation by a simple duality. This in some sense suggests a degeneracy between their scalar spectra. In addition, we also simply estimate the non-Gaussianity of perturbation, which is naturally large, yet, can lie well in the observational bound. The results shown here indicate that the island emergently thermalized in the landscape can be consistent with our observable universe.

Yun-Song Piao

2008-06-11T23:59:59.000Z

255

Long Island | OpenEI  

Open Energy Info (EERE)

Long Island Long Island Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 79, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Long Island projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Northeast Power Coordinating Council / Long Island- Reference Case (xls, 258.6 KiB)

256

Property:EIA/861/IsoNe | Open Energy Information  

Open Energy Info (EERE)

IsoNe IsoNe Jump to: navigation, search Property Name ISO_NE Property Type Boolean Description Indicates that the organization conducts operations in the New England ISO region [1] References ↑ "EIA Form EIA-861 Final Data File for 2010 - 861 Webfile Layout for 2010.doc" Pages using the property "EIA/861/IsoNe" Showing 25 pages using this property. (previous 25) (next 25) B Bangor Hydro-Electric Co + true + Barton Village, Inc (Utility Company) + true + Bozrah Light & Power Company + true + C Central Maine Power Co + true + Central Vermont Pub Serv Corp + true + CinCap IV, LLC + true + CinCap V LLC + true + Cinergy Capital & Trading, Inc + true + City of Chicopee, Massachusetts (Utility Company) + true + City of Holyoke, Massachusetts (Utility Company) + true +

257

The Ne/O abundance ratio in the quiet Sun  

E-Print Network [OSTI]

Aims: To determine the neon-to-oxygen abundance in the quiet Sun, a proxy for the photospheric abundance ratio. Method: An emission measure method applied to extreme ultraviolet emission lines of Ne IV-VI and O III-V ions observed by the Coronal Diagnostic Spectrometer on the SOHO satellite. Results: The average Ne/O abundance ratio in supergranule cell centre regions is 0.18 +/- 0.05, while in supergranule network regions is 0.16 +/- 0.04. A photospheric Ne/O ratio of 0.17 +/- 0.05 is suggested, in good agreement with the most recent compilation of solar photospheric abundances, but discrepant with a recent Ne/O ratio derived from stellar X-ray spectra and revised neon abundances suggested from solar interior models.

P. R. Young

2005-10-10T23:59:59.000Z

258

The MicroBooNE Experiment - Conference Talks  

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

Short-Baseline Neutrion Oscillation Program Jonathan Asaadi PANIC 2014 August 24-29, 2014 Hamburg, Germany The MicroBooNE Experiment Mitch Soderberg FPC 2014 July 27-August 2,...

259

Frequency and longitudinal trends of household care product use Rebecca E. Moran a  

E-Print Network [OSTI]

SUPERB Indoor environment d-limonene a b s t r a c t The use of household cleaning products and air, frequencies of use of eight types of household cleaning products and air fresheners and the performance. Introduction Household care products, such as cleaning products and air fresheners, are frequently used

Leistikow, Bruce N.

260

The coronal Ne/O abundance of alpha Centauri  

E-Print Network [OSTI]

Recent improvements in the modeling of solar convection and line formation led to downward revisions of the solar photospheric abundances of the lighter elements, which in turn led to changes in the radiative opacity of the solar interior and hence to conflicts with the solar convection zone depth as inferred from helioseismic oscillation frequencies. An increase of the solar Ne/O abundance to values as observed for nearby stars has been proposed as a solution. Because of the absence of strong neon lines in the optical, neon abundances are difficult to measure and the correct solar and stellar Ne/O abundances are currently hotly debated. Based on X-ray spectra obtained with XMM-Newton, we determine a reference value of Ne/O for the inactive, solar-like star alpha Cen (primarily alpha Cen B, which is the dominant component in X-rays), with three independent, line-based methods, using differential emission measure reconstruction and an emission measure-independent method. Our results indicate a value of approx. 0.28 for Ne/O in alpha Cen, approximately twice the value measured for the Sun, but still below the average value obtained for other stars. The low Ne/O abundance of the Sun is peculiar when compared to alpha Cen and other stars; our results emphasize the necessity to obtain more and accurate Ne/O abundance measurements of low activity stars.

C. Liefke; J. H. M. M. Schmitt

2006-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Letter of Intent to Build a MiniBooNE Near Detector:BooNE  

SciTech Connect (OSTI)

There is accumulating evidence for a difference between neutrino and antineutrino oscillations at the {approx}1 eV{sup 2} scale. The MiniBooNE experiment observes an unexplained excess of electron-like events at low energies in neutrino mode, which may be due, for example, to either a neutral current radiative interaction, sterile neutrino decay, or to neutrino oscillations involving sterile neutrinos and which may be related to the LSND signal. No excess of electron-like events (-0.5 {+-} 7.8 {+-} 8.7), however, is observed so far at low energies in antineutrino mode. Furthermore, global 3+1 and 3+2 sterile neutrino fits to the world neutrino and antineutrino data suggest a difference between neutrinos and antineutrinos with significant (sin{sup 2} 2{theta}{sub {mu}{mu}} {approx} 35%) {bar {nu}}{sub {mu}} disappearance. In order to test whether the low-energy excess is due to neutrino oscillations and whether there is a difference between {nu}{sub {mu}} and {bar {nu}}{sub {mu}} disappearance, we propose building a second MiniBooNE detector at (or moving the existing MiniBooNE detector to) a distance of {approx}200 m from the Booster Neutrino Beam (BNB) production target. With identical detectors at different distances, most of the systematic errors will cancel when taking a ratio of events in the two detectors, as the neutrino flux varies as 1/r{sup 2} to a calculable approximation. This will allow sensitive tests of oscillations for both {nu}{sub e} and {bar {nu}} appearance and {nu}{sub {mu}} and {bar {nu}}{sub {mu}} disappearance. Furthermore, a comparison between oscillations in neutrino mode and antineutrino mode will allow a sensitive search for CP and CPT violation in the lepton sector at short baseline ({Delta}m{sup 2} > 0.1 eV{sup 2}). Finally, by comparing the rates for a neutral current (NC) reaction, such as NC {pi}{sup 0} scattering or NC elastic scattering, a direct search for sterile neutrinos will be made. The initial amount of running time requested for the near detector will be a total of {approx}2E20 POT divided between neutrino mode and antineutrino mode, which will provide statistics comparable to what has already been collected in the far detector. A thorough understanding of this short-baseline physics will be of great importance to future long-baseline oscillation experiments.

Stancu, I.; /Alabama U.; Djurcic, Z.; /Argonne; Smith, D.; /Embry-Riddle Aeronautical U.; Ford, R.; Kobilarcik, T.; Marsh, W.; Moore, C.D.; /Fermilab; Grange, J.; Osmanov, B.; Ray, H.; /Florida U.; Garvey, G.T.; /Los Alamos /Louisiana State U. /Michigan U. /Mexico U., ICN

2009-10-12T23:59:59.000Z

262

Production of heavy actinides from interactions of O16, O18, Ne20, and Ne22 with Cm248  

Science Journals Connector (OSTI)

We have measured cross sections for the production of isotopes of Bk through No in bombardments of Cm248 with O16, O18, Ne20, and Ne22 ions at energies near the Coulomb barrier. In general, the peak of the mass-yield curve for each element is about two mass units larger for O18 and Ne22 than for O16 and Ne20, reflecting the neutron excess of the projectiles. The production cross sections and maxima of the actinide isotopic distributions are at least as favorable for production of neutron-rich actinides as those measured for irradiation of U238 and Cm248 with very heavy ions. The observation of so many neutron-rich products between the masses of the target and compound nucleus suggests a direct transfer reaction in which the product nuclide is formed with relatively low excitation which minimizes depletion from prompt fission.NUCLEAR REACTIONS Cm248(O16,18,X), (Ne20,22,X) E(O16,18)=98, 97 MeV, E(Ne20,22=115, 116 MeV); measured ? and isotopic distributions for Z=97-102.

Diana Lee; Hans von Gunten; Barbara Jacak; Matti Nurmia; Yuan-fang Liu; Cheng Luo; Glenn T. Seaborg; Darleane C. Hoffman

1982-01-01T23:59:59.000Z

263

Income inequality and carbon dioxide emissions: The case of Chinese urban households  

Science Journals Connector (OSTI)

This paper draws on Chinese survey data to investigate variations in carbon dioxide emissions across households with different income levels. Rich households generate more emissions per capita than poor households via both their direct energy consumption and their higher expenditure on goods and services that use energy as an intermediate input. An econometric analysis confirms a positive relationship between emissions and income and establishes a slightly increasing marginal propensity to emit (MPE) over the relevant income range. The redistribution of income from rich to poor households is therefore shown to reduce aggregate household emissions, suggesting that the twin pursuits of reducing inequality and emissions can be achieved in tandem.

Jane Golley; Xin Meng

2012-01-01T23:59:59.000Z

264

D:\NE WEB Sites\NE\nerac\nov2001minutes.wpd  

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

November 5-6, 2001, DoubleTree Hotel, Arlington, Virginia November 5-6, 2001, DoubleTree Hotel, Arlington, Virginia NERAC members present: John Ahearne Robert Long Joseph Comfort Warren F. Miller, Jr. Michael L. Corradini Benjamin F. Montoya Jose Luis Cortez Sekazi Mtingwa Allen Croff Lura Powell James Duderstadt (Chair) Richard Reba Marvin Fertel Joy Rempe Beverly Hartline John Taylor Andrew Klein Charles E. Till Dale Klein (Monday only) Neil Todreas NERAC members absent: Thomas Cochran Allen Sessoms Maureen S. Crandall Daniel C. Sullivan Steve Fetter C. Bruce Tarter Leslie Hartz Ashok Thadani (ad hoc) J. Bennett Johnston Joan Woodard Linda C. Knight Also present: Robert Card, Under Secretary, USDOE Nancy Carder, NERAC Staff Charles Forsberg, Researcher, Oak Ridge National Laboratory Norton Haberman, Senior Technical Advisor, NE, USDOE

265

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

266

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

267

RECS Data Show Decreased Energy Consumption per Household  

Reports and Publications (EIA)

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

2012-01-01T23:59:59.000Z

268

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.

269

Long-term behaviour of baled household waste  

Science Journals Connector (OSTI)

This study was carried out at the laboratory scale (approximately 15 l) and using real baled waste of industrial dimensions (about 1 m3), in order to assess the long-term behaviour of baled household waste. The laboratory assays were carried out with real household waste which was fractioned on site, reconstituted in the laboratory and then compacted into 15 l airtight containers (unless stated otherwise). These containers were incubated under different experimental conditions at a constant temperature (28°C). Three assays were conducted over 34 months and two others over 27 months. For the assays incubated in conditions simulating those of real baled waste (confined medium, with no aeration or water flow), a very low microbial activity was observed. The assay incubated in the same conditions but with slight aeration during the first three months in order to simulate imperfectly airtight wrapping, revealed biodegradation which started in a significant manner after 800 days of incubation. The evolution of two real wrapped bales each containing 900 kg of household waste was monitored over 8 months. These bales were produced industrially, one in July 97 and the other in July 98 at the incinerator plant at Agde (France). The bales were then stored outside at the laboratory location and their evolution was monitored mainly by biogas analysis and temperature measurement. No methane formation was observed, revealing the absence of anaerobic biodegradation, thus confirming the laboratory assays.

Fabian Robles-Mart??nez; Rémy Gourdon

2000-01-01T23:59:59.000Z

270

US Virgin Islands-Energy Development in Island Nations (EDIN) Pilot Project  

Open Energy Info (EERE)

US Virgin Islands-Energy Development in Island Nations (EDIN) Pilot Project US Virgin Islands-Energy Development in Island Nations (EDIN) Pilot Project Jump to: navigation, search Logo: US Virgin Islands-Energy Development in Island Nations (EDIN) Pilot Project Name US Virgin Islands-Energy Development in Island Nations (EDIN) Pilot Project Agency/Company /Organization National Renewable Energy Laboratory, United States Department of Energy Partner EDIN Initiative Partners Sector Energy Focus Area Energy Efficiency Topics Background analysis, Low emission development planning Website http://www.edinenergy.org/usvi Country US Virgin Islands Latin America and the Caribbean References National Renewable Energy Laboratory, EERE Supported International Activities FY 2009 Annual Operating Plan (August 25, 2009 Abstract The purpose of the EDIN pilot is to have a meaningful impact in a short duration by developing clean energy technologies, policies, and financing mechanisms for the pilot island with projects whose elements can be repeated on other islands.

271

Long Island STEM Hub Summit  

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

Questionnaire Questionnaire Event Information pulldown Registered Attendees Directions to Event Campus Map (pdf) Local Weather Visiting Brookhaven Disclaimer Event Date December 6, 2011 Event Location SUNY Farmingdale State College 2350 Broadhollow Road Farmingdale, NY 11735-1021 USA Roosevelt Hall Directions | Campus Map (pdf) Event Coordinator Ken White Bus: 631-344-7171 Fax: 631-344-5832 Email: stemhub@bnl.gov Long Island STEM Hub Summit Join us for the Launch of the Long Island Regional STEM Hub Motivation The LI Regional STEM Hub, one of ten forming in the Empire State STEM Learning Network, will focus on preparing students for the Long Island workforce through enhanced science, technology, engineering, and mathematics (STEM) experiences for students and teachers. Academic relevance will serve as the major theme by making it easy for

272

Energy Department Helps Advance Island Clean Energy Goals (Fact...  

Office of Environmental Management (EM)

Department Helps Advance Island Clean Energy Goals U.S. Virgin Islands Signs Solar Deal Worth 65 Million Like many islands around the world, the U.S. Virgin Islands (USVI) is...

273

An Audiomagnetotelluric Survey Over The Chaves Geothermal Field (Ne  

Open Energy Info (EERE)

Page Page Edit History Facebook icon Twitter icon » An Audiomagnetotelluric Survey Over The Chaves Geothermal Field (Ne Portugal) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: An Audiomagnetotelluric Survey Over The Chaves Geothermal Field (Ne Portugal) Details Activities (0) Areas (0) Regions (0) Abstract: In an attempt to define the resistivity model of the Chaves geothermal field in NE Portugal, a detailed survey with scalar audiomagnetotelluric measurements was performed. The soundings were made in the frequency range from 2300 to 4.1 Hz. Electrical resistivity models were derived from the application of 1-D inversion, 2-D trial and error modeling and 2-D inversion procedures. The resistivities inside the geothermal field are low, reaching not more than 30 Ωm and increasing up to 60-150 Ωm

274

Municipal Energy Agency of NE | Open Energy Information  

Open Energy Info (EERE)

Municipal Energy Agency of NE Municipal Energy Agency of NE Jump to: navigation, search Name Municipal Energy Agency of NE Place Nebraska Utility Id 21352 Utility Location Yes Ownership P NERC Location MRO NERC MRO Yes NERC SPP Yes NERC WECC Yes RTO SPP Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Wholesale Marketing Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from

275

Coastal mesoscale changes on Matagorda Island  

E-Print Network [OSTI]

on the coastal geomorphology of Matagorda Island. Based on the statistical and morphometric analysis of the coastal landforms, the island was divided into three distinct sub-environments: an erosional eastern zone, a transitional mixed zone, and a depositional...

Lariscy, Kevin William

2001-01-01T23:59:59.000Z

276

REAP Islanded Grid Wind Power Conference  

Office of Energy Efficiency and Renewable Energy (EERE)

Hosted by Renewable Energy Alaska Project, this three-day conference will show attendees how to learn, network, and share information on wind systems in island and islanded grid environments...

277

Peralkaline acid tendencies in Gran Canaria (Canary Islands)  

Science Journals Connector (OSTI)

The study of a volcanic series from the island of Gran Canaria (Canary Islands) in which alkaline and...

Vicente Araña; Eduardo R. Badiola…

278

Late Quaternary pollen records from Easter Island  

Science Journals Connector (OSTI)

... , K. The Mystery of Easter Island: The Story of an Expedition 165–199 (Sifton, Praed, London, 1919).

J. R. Flenley; Sarah M. King

1984-01-05T23:59:59.000Z

279

Bainbridge Island Summary of Reported Data  

Broader source: Energy.gov [DOE]

Summary of data for Bainbridge Island, a partner in the U.S. Department of Energy's Better Buildings Neighborhood Program.

280

Southern California Channel Islands Bibliography, through 1992  

E-Print Network [OSTI]

pollution San Nicolas Island Atmospheric Sciences/Meteorology/Nuclear Science/Radioactivity/Atmospheric Sciences/Radioactivity/Radioactive Wastes/pollution/

Channel Islands National Marine Sanctuary

1992-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Long Island Solar Farm Project Overview  

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

Island Solar Farm Island Solar Farm Project Overview The Long Island Solar Farm (LISF) is a 32-megawatt solar photovoltaic power plant built through a collaboration including BP Solar, the Long Island Power Authority (LIPA), and the Department of Energy. The LISF, located on the Brookhaven National Laboratory site, began delivering power to the LIPA grid in November 2011, and is currently the largest solar photovoltaic power plant in the Eastern United States. It is generating enough renewable

282

Ne tak jsi mi pskal Kdyzs mi rucku stskal  

E-Print Network [OSTI]

Ne tak Ne tak jsi mi pískal Kdyzs mi rucku stískal A pravils mi svarnás je A traz m peres, mé srdecko dres A pravís mi spatnás je Vybil jsi mn zuby Z mojí slicné huby A pravís mi starás je Vybod jsi mi oci Na lzecku v noci A pravís mi slepás je Not so This is not the song you whistled to me When you

Zapletal, Jindrich

283

Energy Transition Initiative: Islands Playbook  

Office of Energy Efficiency and Renewable Energy (EERE)

The Island Energy Playbook provides an action-oriented guide to successfully initiating, planning, and completing a transition to an energy system that primarily relies on local resources to eliminate a dependence on one or two imported fuels. It is intended to serve as a readily available framework that any community can adapt to organize its own energy transition effort.

284

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

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

285

Indoor Secondary Pollutants from Household Product Emissions in the  

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

286

Greenhouse Gas Implications of Household Energy Technology in Kenya  

Science Journals Connector (OSTI)

Energy and Resources Group, University of California, Berkeley, California 94720-3050, Risk, Resource, and Environmental Management Division, Resources for the Future, 1616 P Street NW, Washington, D.C. 20036, and Goldman School of Public Policy, University of California, Berkeley, California 94720-7320 ... Household energy policy is further complicated because charcoal markets in many sub-Saharan African countries operate within a complex political economy that can be hard to characterize and still more difficult to regulate. ... While charcoal consumption carries a larger burden of GHG emissions than firewood use, it also has more potential to attract investment in GHG mitigation activities. ...

Rob Bailis; Majid Ezzati; Daniel M. Kammen

2003-04-01T23:59:59.000Z

287

Enhanced naphthenic refrigeration oils for household refrigerator systems  

SciTech Connect (OSTI)

Due to industry concerns about the successful employment of hydrofluorocarbon-immiscible hydrocarbon oils in refrigeration systems, enhanced naphthenic refrigeration oils have been developed. These products have been designed to be more dispersible with hydrofluorocarbon (HFC) refrigerants, such as R-134a, in order to facilitate lubricant return to the compressor and to ensure proper energy efficiency of the system. Bench tests and system performance evaluations indicate the feasibility of these oils for use in household refrigeration applications. Results of these evaluations are compared with those obtained with polyol esters and typical naphthenic mineral oils employed in chlorofluorocarbon (CFC) and hydrochlorofluorocarbon (HCFC) refrigeration applications.

Reyes-Gavilan, J.L.; Flak, G.T.; Tritcak, T.R. [Witco Corp., Oakland, NJ (United States); Barbour, C.B. [Americold, Cullman, AL (United States)

1997-12-31T23:59:59.000Z

288

National Park Service- San Miguel Island, California  

Broader source: Energy.gov [DOE]

San Miguel Island is one of five islands that make up Channel Islands National Park on the coast of southern California. The islands comprise 249,353 acres (100,910 hectares) of land and ocean that teems with terrestrial and marine life. The National Park Service (NPS) protects the pristine resources at Channel Islands National Park by conserving, recycling, using alternative fuel vehicles, applying renewable energy, and using resources wisely. It also seeks to replace conventional fuels with renewable energy wherever possible. This applies especially to diesel fuel and petroleum, which must be shipped in from the mainland to generate electricity.

289

Table HC6.10 Home Appliances Usage Indicators by Number of Household...  

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

0 Home Appliances Usage Indicators by Number of Household Members, 2005 Total... 111.1 30.0 34.8 18.4...

290

Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation Policy  

E-Print Network [OSTI]

Differences in 10 Household Automobile Ownership Rates:hauseltoldr lacking automobiles were mmit like! ) to be leftWithout 3 Access to an Automobile. Top Ten Metropolitan

Raphael, S; Berube, A; Deakin, Elizabeth

2006-01-01T23:59:59.000Z

291

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

292

Household environmental monitoring a strategy to help homeowners reduce their environmental impact  

Science Journals Connector (OSTI)

A group of 20 households was established to study whether we can motivate environmentally sustainable behaviour by providing homeowners with a clear picture of their impact, tangible reasons for improvement, and tailored solutions to follow. Reports for each household compared heating fuel, electricity, water, vehicle fuel/waste generation within the group and recommended cost-effective measures to reduce consumption. On average, 26% of the recommended measures were implemented, resulting in an estimated greenhouse gas reduction of about 2 tonnes per household. Wide variations were found between households, demonstrating the potential to reduce environmental impact through lifestyle, conservation, and energy conscious retrofits.

Jane Thompson; Magda Goemans; Peter C. Goemans; Andrzej Wisniowski

2008-01-01T23:59:59.000Z

293

Wealth: Determinants of Savings Net Worth and Housing Net Worth of Pre-Retired Households  

Science Journals Connector (OSTI)

The objectives of this study are to determine effects of household members' characteristics, financial resources, and attitude ... Subsamples of White respondents, Black respondents, and Hispanic respondents were...

Satomi Wakita; Vicki Schram Fitzsimmons…

2000-12-01T23:59:59.000Z

294

Minority and poor households: patterns of travel and transportation fuel use  

SciTech Connect (OSTI)

This report documents the travel behavior and transportation fuel use of minority and poor households in the US, using information from numerous national-level sources. The resulting data base reveals distinctive patterns of household vehicle availability and use, travel, and fuel use and enables us to relate observed differences between population groups to differences in their demographic characteristics and in the attributes of their household vehicles. When income and residence location are controlled, black (and to a lesser extent, Hispanic and poor) households have fewer vehicles regularly available than do comparable white or nonpoor households; moreover, these vehicles are older and larger and thus have significantly lower fuel economy. The net result is that average black, Hispanic, and poor households travel fewer miles per year but use more fuel than do average white and nonpoor households. Certain other findings - notably, that of significant racial differences in vehicle availability and use by low-income households - challenge the conventional wisdom that such racial variations arise solely because of differences in income and residence location. Results of the study suggest important differences - primarily in the yearly fluctuation of income - between black and white low-income households even when residence location is controlled. These variables are not captured by cross-sectional data sets (either the national surveys used in our analysis or the local data sets that are widely used for urban transportation planning).

Millar, M.; Morrison, R.; Vyas, A.

1986-05-01T23:59:59.000Z

295

Fox Islands Wind Project | Open Energy Information  

Open Energy Info (EERE)

Fox Islands Wind Project Fox Islands Wind Project Facility Fox Islands Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Fox Islands Electric Cooperative Developer Fox Islands Electric Cooperative Energy Purchaser Fox Islands Electric Cooperative Location Vinalhaven Island ME Coordinates 44.088391°, -68.857802° 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":44.088391,"lon":-68.857802,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

296

MWRA Deer Island Wind | Open Energy Information  

Open Energy Info (EERE)

MWRA Deer Island Wind MWRA Deer Island Wind Jump to: navigation, search Name MWRA Deer Island Wind Facility MWRA Deer Island Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner MWRA Deer Island Energy Purchaser MWRA Deer Island Location Deer Island MA Coordinates 42.346751°, -70.957006° 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":42.346751,"lon":-70.957006,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

297

Magnetic island evolution in hot ion plasmas  

SciTech Connect (OSTI)

Effects of finite ion temperature on magnetic island evolution are studied by means of numerical simulations of a reduced set of two-fluid equations which include ion as well as electron diamagnetism in slab geometry. The polarization current is found to be almost an order of magnitude larger in hot than in cold ion plasmas, due to the strong shear of ion velocity around the separatrix of the magnetic islands. As a function of the island width, the propagation speed decreases from the electron drift velocity (for islands thinner than the Larmor radius) to values close to the guiding-center velocity (for islands of order 10 times the Larmor radius). In the latter regime, the polarization current is destabilizing (i.e., it drives magnetic island growth). This is in contrast to cold ion plasmas, where the polarization current is generally found to have a healing effect on freely propagating magnetic island.

Ishizawa, A.; Nakajima, N. [National Institute for Fusion Science, Toki 509-5292 (Japan); Waelbroeck, F. L.; Fitzpatrick, R.; Horton, W. [Institute for Fusion Studies, University of Texas at Austin, Austin, Texas 78712 (United States)

2012-07-15T23:59:59.000Z

298

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

SciTech Connect (OSTI)

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

Poyer, D.A.

1992-01-01T23:59:59.000Z

299

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

SciTech Connect (OSTI)

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

Poyer, D.A.

1992-06-01T23:59:59.000Z

300

Control of household refrigerators. Part 1: Modeling temperature control performance  

SciTech Connect (OSTI)

Commercial household refrigerators use simple, cost-effective, temperature controllers to obtain acceptable control. A manually adjusted airflow damper regulates the freezer compartment temperature while a thermostat controls operation of the compressor and evaporator fan to regulate refrigerator compartment temperature. Dual compartment temperature control can be achieved with automatic airflow dampers that function independently of the compressor and evaporator fan thermostat, resulting in improved temperature control quality and energy consumption. Under dual control, freezer temperature is controlled by the thermostat while the damper controls refrigerator temperature by regulating airflow circulation. A simulation model is presented that analyzes a household refrigerator configured with a conventional thermostat and both manual and automatic dampers. The model provides a new paradigm for investigating refrigerator systems and temperature control performance relative to the extensive verification testing that is typically done by manufacturers. The effects of each type of control and damper configuration are compared with respect to energy usage, control quality, and ambient temperature shift criteria. The results indicate that the appropriate control configuration can have significant effects and can improve plant performance.

Graviss, K.J.; Collins, R.L.

1999-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Environmental attitudes and household consumption: an ambiguous relationship  

Science Journals Connector (OSTI)

This article analyses the relationship between environmental attitudes and energy use in the home and for transport by Norwegian households. Quantitative surveys were used to find statistical correlations, and qualitative analyses to reveal mechanisms that influence the ability to behave in an environmentally friendly way. Three theses about attitudes, mechanisms and household consumption are presented. Firstly, a desire to project an environmentally friendly image has little influence on energy use in the home and for transport. Secondly, a sense of powerlessness prevents people from translating positive environmental attitudes into low energy use in the home and for everyday transport. Thirdly, a desire to self-indulge prevents people from translating positive environmental attitudes into low energy use for long distance leisure travel. These results have important implications for environmental policy. Public information and awareness campaigns can give consumers information on how to behave in an environmentally responsible way, but tend only to influence categories of consumption with little environmental impact. Structural change can be used to mitigate the effect of the sense of powerlessness and encourage environmentally friendly behaviour, but the desire to self-indulge is much more difficult to deal with.

Erling Holden; Kristin Linnerud

2010-01-01T23:59:59.000Z

302

Household demand and willingness to pay for hybrid vehicles  

Science Journals Connector (OSTI)

Abstract This paper quantitatively evaluates consumers' willingness to pay for hybrid vehicles by estimating the demand of hybrid vehicles in the U.S. market. Using micro-level data on consumer purchases of hybrid and non-hybrid vehicles from National Household Travel Survey 2009, this paper formulates a mixed logit model of consumers' vehicle choices. Parameter estimates are then used to evaluate consumers' willingness to pay for hybrids. Results suggest that households' willingness to pay for hybrids ranges from $963 to $1718 for different income groups, which is significantly lower than the average price premium (over $5000) of hybrid vehicles, even when taking the fuel costs savings of hybrid vehicles into consideration. The differences reveal that although the market has shown increasing interest in hybrid vehicles, consumers' valuation of the hybrid feature is still not high enough to compensate for the price premium when they make new purchases. Policy simulations are conducted to examine the effects of raising federal tax incentives on the purchase of hybrid vehicles.

Yizao Liu

2014-01-01T23:59:59.000Z

303

TWP Island Cloud Trail Studies  

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

Pacific Island Cloud Trail Studies Pacific Island Cloud Trail Studies W. M. Porch Los Alamos National Laboratory Los Alamos, New Mexico S. Winiecki University of Chicago Chicago, Illinois Introduction Images and surface temperature measurements from the U.S. Department of Energy (DOE) Multi- spectral Thermal Imaging (MTI) satellite are combined with geostationary meteorological satellite (GMS) images during 2000 and 2001 to better understand cloud trail formation characteristics from the Atmospheric Radiation Measurement (ARM) Tropical Western Pacific (TWP) site. Figure 1 shows a comparison on two consecutive days in December 2000. The day for which a cloud trail developed was more moist and cooler at the altitude the cloud developed (about 600 m) and there was very little

304

The Long Island Solar Farm  

Broader source: Energy.gov [DOE]

This technical report provides an in-depth look at the one SunShot Initiative success story, the Long Island Solar Farm project, which is a utility-scale solar array located at Brookhaven National Laboratory in Eastern Long Island, New York. Three aspects of this project make it remarkable: first, it is the largest utility-scale solar power plant in the Eastern United States; second, it is a commercial project built on federally administered public lands; and third, the project was very unlikely to have started in the first place. It is a valuable resource for solar energy research, which will greatly inform large-scale PV solar development in the East.

305

MICROBOONE PHYSICS Ben Carls Fermilab MicroBooNE Physics Outline  

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

PHYSICS Ben Carls Fermilab MicroBooNE Physics Outline * The detector and beam - MicroBooNE TPC - Booster and NuMI beams at Fermilab * Oscillation physics - Shed light on the...

306

E-Print Network 3.0 - api 20ne para Sample Search Results  

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

api 20ne para Search Powered by Explorit Topic List Advanced Search Sample search results for: api 20ne para Page: << < 1 2 3 4 5 > >> 1 Draft of 7282003 IBP Network Function...

307

ARM - Field Campaign - 2001 Philadelphia NE-OPS Air Quality Experiment  

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

Philadelphia NE-OPS Air Quality Experiment Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : 2001 Philadelphia NE-OPS Air...

308

Using Multiple Household Food Inventories to Measure Food Availability in the Home  

E-Print Network [OSTI]

-home assessment included an audio recorded interview on food habits and beliefs. Complete data were collected from all 9 women (32.8 y +/- 6.0; 3 married; 4 +/- 1.6 adults/children in household; 4 SNAP; 6 food insecure) and their households. Weekly grocery...

Sisk, Cheree L.

2010-10-12T23:59:59.000Z

309

Dimethyl ether (DME) from coal as a household cooking fuel in China  

E-Print Network [OSTI]

technologies. Given China's rich coal resources, the production and use of coal-derived DME as a cooking fuelDimethyl ether (DME) from coal as a household cooking fuel in China Eric D. Larson Princeton gas (LPG) as a household cooking fuel. As such, DME is an attractive fuel for clean cooking. DME can

310

Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation Policy  

E-Print Network [OSTI]

Socioeconomic Differences in Household Automobile Ownership Rates: Implications for Evacuation's aftermath concerned the size and composition of the area's populations that lacked access to an automobile for all U.S. metropolitan areas that reside in a household without access to an automobile. Finally, we

Sekhon, Jasjeet S.

311

The Driving Internal Beliefs of Household Internet Adoption among Jordanians and the Role of Cultural Values  

Science Journals Connector (OSTI)

The purpose of this study is to develop and validate a comprehensive model for the determinants of household Internet adoption through identifying the driving internal beliefs of individuals and the effect of cultural values on behavioral intention to ... Keywords: Hofstede's Cultural Dimensions, Household Internet Adoption, Internal Beliefs, Micro Cultural Level, Perceived Risks, Technology Acceptance Model

Amin A. Shaqrah; Khaled Saleh Al Omoush; Raed Musbah Alqirem

2011-01-01T23:59:59.000Z

312

Particle and Gas Emissions from a Simulated Coal-Burning Household Fire Pit  

Science Journals Connector (OSTI)

Particle and Gas Emissions from a Simulated Coal-Burning Household Fire Pit ... Chinese anthracite and bituminous coals produce different amounts of emissions when burned in a fire pit that simulates common rural household use of these fuels. ... Here we present emissions from burning 15 different fuels in a laboratory system designed to mimic the fire pits used in Xuan Wei County, China. ...

Linwei Tian; Donald Lucas; Susan L. Fischer; S. C. Lee; S. Katharine Hammond; Catherine P. Koshland

2008-02-21T23:59:59.000Z

313

Journal: Ecological Applications1 Carbon, nitrogen, and phosphorus fluxes in household ecosystems in the3  

E-Print Network [OSTI]

#12;1 Journal: Ecological Applications1 2 Carbon, nitrogen, and phosphorus fluxes in household Resources Center, Saint Paul, MN 551089 3 University of Minnesota, Department of Ecology, Evolution with several29 components of household activities including air and motor vehicle travel, food consumption,30

Minnesota, University of

314

Flame Retardant Transfers from U.S. Households (Dust and Laundry Wastewater) to the Aquatic Environment  

Science Journals Connector (OSTI)

Analytes were ionized by APPI; dopant (acetone) was introduced (150 ?L/min) by a liquid chromatography pump (LC-20AD, Shimadzu Corporation, Kyoto, Japan). ... We collected repeat dust samples from 292 households in the Northern California Childhood Leukemia Study during two sampling rounds (from 2001 to 2007 and during 2010) using household vacuum cleaners and measured 22 PBDEs using high resoln. ...

Erika D. Schreder; Mark J. La Guardia

2014-09-17T23:59:59.000Z

315

Passive sampling methods to determine household and personal care product use  

E-Print Network [OSTI]

Passive sampling methods to determine household and personal care product use DEBORAH H. BENNETTa, cleaning products, passive sampling, SUPERB, longitudinal. Introduction Personal care and household care products, such as cleaning products and pesticides, are frequently used in most house- holds although

Leistikow, Bruce N.

316

[NeII] emission line profiles from photoevaporative disc winds  

E-Print Network [OSTI]

I model profiles of the [NeII] forbidden emission line at 12.81um, emitted by photoevaporative winds from discs around young, solar-mass stars. The predicted line luminosities (~ 1E-6 Lsun) are consistent with recent data, and the line profiles vary significantly with disc inclination. Edge-on discs show broad (30-40km/s) double-peaked profiles, due to the rotation of the disc, while in face-on discs the structure of the wind results in a narrower line (~10km/s) and a significant blue-shift (5-10km/s). These results suggest that observations of [NeII] line profiles can provide a direct test of models of protoplanetary disc photoevaporation.

R. D. Alexander

2008-09-01T23:59:59.000Z

317

File:EIA-Williston-NE-Gas.pdf | Open Energy Information  

Open Energy Info (EERE)

Williston-NE-Gas.pdf Williston-NE-Gas.pdf Jump to: navigation, search File File history File usage Williston Basin, Northeast Part By 2001 Gas Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(6,600 × 5,100 pixels, file size: 5.95 MB, MIME type: application/pdf) Description Williston Basin, Northeast Part By 2001 Gas Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States Montana, North Dakota, South Dakota File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

318

Long Island Solar Farm | Brookhaven National Laboratory  

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

Long Island Solar Farm Long Island Solar Farm Project Overview The Long Island Solar Farm (LISF) is a 32-megawatt solar photovoltaic power plant built through a collaboration including BP Solar, the Long Island Power Authority (LIPA), and the Department of Energy. The LISF, located on the Brookhaven National Laboratory site, began delivering power to the LIPA grid in November 2011, and is currently the largest solar photovoltaic power plant in the Eastern United States. It is generating enough renewable energy to power approximately 4,500 homes, and is helping New York State meet its clean energy and carbon reduction goals. Project Developer/Owner/Operator: Long Island Solar Farm, LLC (BP Solar & MetLife) Purchaser of Power: Long Island Power Authority (LIPA) purchases 100

319

Rhode Island | Building Energy Codes Program  

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

Rhode Island Rhode Island Last updated on 2013-11-05 Current News 2012 IECC adopted July 1, 2013 Commercial Residential Code Change Current Code 2012 IECC Amendments / Additional State Code Information The Rhode Island commercial code is the 2012 IECC with reference to ASHRAE 90.1-2010. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE 90.1-2007 for Commercial Buildings in the State of Rhode Island (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2012 IECC Effective Date 07/01/2013 Adoption Date 07/01/2013 Code Enforcement Mandatory DOE Determination ASHRAE 90.1-2007: Yes ASHRAE 90.1-2010: Yes Rhode Island DOE Determination Letter, May 31, 2013 Rhode Island State Certification of Commercial and Residential Building Energy Codes

320

Fire Island Wind Project | Open Energy Information  

Open Energy Info (EERE)

Island Wind Project Island Wind Project Jump to: navigation, search Name Fire Island Wind Project Facility Fire Island Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner CIRI Developer Fire Island Wind LLC Energy Purchaser Chugach Location Fire Island AK Coordinates 61.144146°, -150.217652° 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":61.144146,"lon":-150.217652,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "islander households ne" 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

Case Closed on Nauru Island Effect  

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

Closed on Nauru Island Effect Closed on Nauru Island Effect For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight The tiny 4-kilometer-by-6-kilometer island of Nauru is isolated in the equatorial Pacific Ocean with naught but a few small scattered islands for thousands of kilometers around. Thus, the ARM measurements made there are intended to represent the larger surrounding oceanic area. But decades of phosphate mining have left large barren karst fields as the predominant land surface over most of the center of the island, making it much more susceptible to solar heating than typical tropical vegetated surfaces. During the Nauru99 campaign, small cumulus clouds were observed at times forming over the center of the island, advecting over the ARM site

322

A signature for turbulence driven magnetic islands  

SciTech Connect (OSTI)

We investigate the properties of magnetic islands arising from tearing instabilities that are driven by an interchange turbulence. We find that such islands possess a specific signature that permits an identification of their origin. We demonstrate that the persistence of a small scale turbulence maintains a mean pressure profile, whose characteristics makes it possible to discriminate between turbulence driven islands from those arising due to an unfavourable plasma current density gradient. We also find that the island poloidal turnover time, in the steady state, is independent of the levels of the interchange and tearing energy sources. Finally, we show that a mixing length approach is adequate to make theoretical predictions concerning island flattening in the island rotation frame.

Agullo, O.; Muraglia, M.; Benkadda, S. [Aix-Marseille Université, CNRS, PIIM, UMR 7345 Marseille (France); France-Japan Magnetic Fusion Laboratory, LIA 336 CNRS, Marseille (France); Poyé, A. [Univ. Bordeaux, CNRS, CEA, CELIA (Centre Lasers Intenses et Applications), UMR 5107, F-33405 Talence (France); Yagi, M. [Plasma Theory and Simulation Gr., JAEA, Rokkasho (Japan); Garbet, X. [IRFM, CEA, St-Paul-Lez-Durance 13108 (France); Sen, A. [Institute for Plasma Research, Bhat, Gandhinagar 382428 (India)

2014-09-15T23:59:59.000Z

323

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

324

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

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

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?

325

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

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

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?

326

Lifestyle change and energy use in Japan: Household equipment and energy consumption  

Science Journals Connector (OSTI)

Energy use in the Japanese residential sector has more than doubled (on a per-household basis) during the post-war period. Important factors contributing to the increase include changes in the types of housing built, heating, cooling, water-heating equipment, and other appliances. In this paper, the developments of household equipment and living conditions in Japan are described, from their 1950s state to the present. Trends in energy consumption by fuel types and end uses are reviewed over the same period. The past trends are combined with expectations for future developments in household equipment and quality, as well as with international comparisons of household-energy use, to predict further increases in household-energy consumption. The results indicate the importance of a renewed emphasis on energy efficiency in the residential sector.

Hidetoshi Nakagami

1996-01-01T23:59:59.000Z

327

Two-fluid magnetic island dynamics in slab geometry: I -Isolated islands  

E-Print Network [OSTI]

that there be zero net electromagnetic force acting on the island. Finally, the ion polarization current correction determination of the island phase-velocity, and the calculation of the ion and electron fluid flow profiles

Fitzpatrick, Richard

328

Modeling household adoption of earthquake hazard adjustments: a longitudinal panel study of Southern California and Western Washington residents  

E-Print Network [OSTI]

This research, aimed at advancing the theory of environmental hazard adjustment processes by contrasting households from three cities in a high seismic hazard area with households from three other cities in a moderate seismic hazard area...

Arlikatti, Sudha S

2006-10-30T23:59:59.000Z

329

2014 Virginia Polytechnic Institute and State University BSE-158NP Household Water Quality in Loudoun County, Virginia  

E-Print Network [OSTI]

2014 Virginia Polytechnic Institute and State University BSE-158NP Household Water Quality in Loudoun County, Virginia OCTOBER 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

330

2014 Virginia Polytechnic Institute and State University BSE-151NP Household Water Quality in Albemarle County, Virginia  

E-Print Network [OSTI]

2014 Virginia Polytechnic Institute and State University BSE-151NP Household Water Quality in Albemarle County, Virginia APRIL 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

331

2014 Virginia Polytechnic Institute and State University BSE-162NP Household Water Quality in Pittsylvania County, Virginia  

E-Print Network [OSTI]

2014 Virginia Polytechnic Institute and State University BSE-162NP Household Water Quality in Pittsylvania County, Virginia OCTOBER 2013 VIRGINIA HOUSEHOLD WATER QUALITY PROGRAM Erin Ling, Water Quality Extension Associate, and Brian Benham, Extension Specialist and Professor

Liskiewicz, Maciej

332

Community Rating, Cross Subsidies and Underinsurance: Why so many Households in Japan do not Purchase Earthquake Insurance  

Science Journals Connector (OSTI)

Japan is famous for its earthquakes. According to ... survey, however, only 20% of Japanese households purchased an earthquake insurance policy in 2005. Why do so many households in Japan not purchase earthquake ...

Michio Naoi; Miki Seko; Kazuto Sumita

2010-05-01T23:59:59.000Z

333

Three Mile Island: then and now  

SciTech Connect (OSTI)

A review of the Three Mile Island Unit 2 accident is presented. Current activities to clean up the reactor are described.

Trauger, D.B.

1980-01-01T23:59:59.000Z

334

Falkland Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

nlineLabel":"","visitedicon":"" Country Profile Name Falkland Islands Population 2,932 GDP Unavailable Energy Consumption Quadrillion Btu 2-letter ISO code FK 3-letter ISO code...

335

Nauru Island Effect Detection Data Set  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

During Nauru99 it was noted that the island was producing small clouds that advected over the ARM site. The Nauru Island Effect Study was run for 1.5 years and the methodology developed to detect the occurrence. Nauru ACRF downwelling SW, wind direction, and air temperature data are used, along with downwelling SW data from Licor radiometers located on the southern end of the island near the airport landing strip. A statistical analysis and comparison of data from the two locations is used to detect the likely occurrence of an island influence on the Nauru ACRF site data

Long, Chuck

336

Energy Transition Initiative: Islands Playbook (Book) | OSTI...  

Office of Scientific and Technical Information (OSTI)

Energy Transition Initiative: Islands Playbook (Book) Re-direct Destination: Temp Data Fields Not Available Temp Data Storage 3: National Renewable Energy Laboratory (NREL),...

337

Contradiction and grammar : the case of weak islands  

E-Print Network [OSTI]

This thesis is about weak islands. Weak islands are contexts that are transparent to some but not all operator-variable dependencies. For this reason, they are also sometimes called selective islands. Some paradigmatic ...

Abrusán, Márta

2007-01-01T23:59:59.000Z

338

Microsoft Word - rhode_island.doc  

Gasoline and Diesel Fuel Update (EIA)

Rhode Island Rhode Island NERC Region(s) ....................................................................................................... NPCC Primary Energy Source........................................................................................... Gas Net Summer Capacity (megawatts) ....................................................................... 1,782 49 Electric Utilities ...................................................................................................... 7 50 Independent Power Producers & Combined Heat and Power ................................ 1,775 37 Net Generation (megawatthours) ........................................................................... 7,738,719 47

339

Mass Wasting in the Western Galapagos Islands  

E-Print Network [OSTI]

. RESULTS .............................................................................................................. 12 3.1 Cerro Azul Region ........................................................................................ 20 3.2 Le Cumbre... of the western Galapagos Islands ......................................................................... 7 3 Map of the Galapagos Islands with locations of Figures 4-33 ................... 11 4 Cerro Azul sidescan sonar data interpreted...

Hall, Hillary

2012-10-19T23:59:59.000Z

340

Biofuel Feedstock Inter-Island Transportation  

E-Print Network [OSTI]

Biofuel Feedstock Inter-Island Transportation Prepared for the U.S. Department of Energy Office agency thereof. #12;A Comparison of Hawaii's Inter-Island Maritime Transportation of Solid Versus Liquid of Honolulu Advertiser ISO Tank Container, courtesy of Hawaii Intermodal Tank Transport Petroleum products

Note: This page contains sample records for the topic "islander households ne" 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

Marine Algae of the Solomon Islands  

Science Journals Connector (OSTI)

10 September 1970 research-article Marine Algae of the Solomon Islands H. B. S. Womersley A. Bailey An account is given of the benthic marine algae (and sea grasses) collected on the 1965 Royal Society Expedition to the Solomon Islands...

1970-01-01T23:59:59.000Z

342

YOU ARE CORDIALLY INVITED 2011 Long Island  

E-Print Network [OSTI]

and success of the green industry on Long Island. Thanks to Fred Soviero, this year's Leader's Forum, country sausage, seasoned potatoes, coffee, tea, and assorted fruit juices. Following breakfast, the two, and announcements to New York's green industry. Thanks to the Friends of Long Island Horticulture and the NSLGA

Danforth, Bryan Nicholas

343

Island-finding ability of marine turtles  

E-Print Network [OSTI]

of the equatorial Atlantic. To test the hypothesis that turtles use wind-borne cues to locate Ascension Island we back to the island. These find- ings strongly support the hypothesis that wind-borne cues are used that hatch- ling loggerhead turtles (Caretta caretta) have the ability to perceive the inclination

Hays, Graeme

344

Bristol, Rhode Island: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

County, Rhode Island.1 Registered Energy Companies in Bristol, Rhode Island Ocean Wave Energy Company OWECO References US Census Bureau Incorporated place and minor...

345

Power Plant Options Report for Thompson Island prepared by the  

E-Print Network [OSTI]

....................................................................... 2 2.2. Thompson Island electric load.......................................................................... 4 2.3. Thompson Island heating load....................................................................... 7 3. Grid-connected and Autonomous Renewable Power Systems ................................ 9 3

Massachusetts at Amherst, University of

346

Newby Island I Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Island I Biomass Facility Facility Newby Island I Sector Biomass Facility Type Landfill Gas Location Santa Clara County, California Coordinates 37.2938907, -121.7195459...

347

Newby Island II Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Island II Biomass Facility Facility Newby Island II Sector Biomass Facility Type Landfill Gas Location Santa Clara County, California Coordinates 37.2938907, -121.7195459...

348

Bainbridge Island Summary of Reported Data | Department of Energy  

Energy Savers [EERE]

Summary of Reported Data Bainbridge Island Summary of Reported Data Summary of data for Bainbridge Island, a partner in the U.S. Department of Energy's Better Buildings...

349

Anatahan, Northern Mariana Islands- Reconnaissance Geological Observations  

Open Energy Info (EERE)

Anatahan, Northern Mariana Islands- Reconnaissance Geological Observations Anatahan, Northern Mariana Islands- Reconnaissance Geological Observations During And After The Volcanic Crisis Of Spring 1990, And Monitoring Prior To The May 2003 Eruption Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Anatahan, Northern Mariana Islands- Reconnaissance Geological Observations During And After The Volcanic Crisis Of Spring 1990, And Monitoring Prior To The May 2003 Eruption Details Activities (0) Areas (0) Regions (0) Abstract: Anatahan island is 9.5 km east-west by 3.5 km north-south and truncated by an elongate caldera 5 km east-west by 2.5 km north-south. A steep-walled pit crater ~1 km across and ~200 m deep occupies the eastern part of the caldera. The island is the summit region of a mostly submarine stratovolcano. The oldest subaerial rocks (stage 1) are exposed low on the

350

Living on Long Island | Brookhaven National Laboratory  

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

Careers at Brookhaven Careers at Brookhaven Home For Job Seekers Job List Life at Brookhaven Benefits Family Programs Recreation & Fitness Why Brookhaven? For New Hires For Employees Living on Long Island Stretching 118 miles from end to end and measuring no more than 20 miles at its widest point, Long Island was aptly named by Dutch traders who circum-navigated it in the early 1600s. Those early Dutchmen discovered what the native Indians had known for centuries: The temperate climate, the bountiful seas and the fertile land made Long Island a most hospitable home. Local Area Information Long Island Schools Parks Beaches Wineries New York City Today, Brookhaven National Laboratory sits in the geographical center of Long Island. To the west, New York City boasts Broadway shows, museums,

351

Paving materials for heat island mitigation  

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

Paving materials for heat island mitigation Paving materials for heat island mitigation Title Paving materials for heat island mitigation Publication Type Report Year of Publication 1997 Authors Pomerantz, Melvin, Hashem Akbari, Allan Chen, Haider Taha, and Arthur H. Rosenfeld Keywords Cool Pavements, Heat Island Abstract This report summarizes paving materials suitable for urban streets, driveways, parking lots and walkways. The authors evaluate materials for their abilities to reflect sunlight, which will reduce their temperatures. This in turn reduces the excess air temperature of cities (the heat island effect). The report presents the compositions of the materials, their suitability for particular applications, and their approximate costs (in 1996). Both new and resurfacing are described. They conclude that, although light-colored materials may be more expensive than conventional black materials, a thin layer of light-colored pavement may produce energy savings and smog reductions whose long-term worth is greater than the extra cost.

352

Block Island Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Block Island Wind Farm Block Island Wind Farm Jump to: navigation, search Name Block Island Wind Farm Facility Block Island Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status Proposed Developer Deepwater Wind Location Offshore from Block Island RI Coordinates 41.1°, -71.53° 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":41.1,"lon":-71.53,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

353

Ge atom distribution in buried dome islands  

SciTech Connect (OSTI)

Laser-assisted atom probe tomography microscopy is used to provide direct and quantitative compositional measurements of tri-dimensional Ge distribution in Ge dome islands buried by Si. Sub-nanometer spatial resolution 3D imaging shows that islands keep their facets after deposition of the Si cap, and that the island/substrate/Si cap interfaces are abrupt. The core of the domes contains 55% of Ge, while the island shell exhibits a constant composition of 15% of Ge. The {l_brace}113{r_brace} facets of the islands present a Ge enrichment up to 35%. The wetting layer composition is not homogeneous, varying from 9.5% to 30% of Ge.

Portavoce, A.; Berbezier, I.; Ronda, A.; Mangelinck, D. [CNRS, IM2NP, Case 142, 13397 Marseille Cedex 20 (France); Hoummada, K. [Aix-Marseille Universite, IM2NP, Case 142, 13397 Marseille Cedex 20 (France)

2012-04-16T23:59:59.000Z

354

Household equipment of Canadians -- features of the 1993 stock and the 1994 and 1995 purchases: Analysis report  

SciTech Connect (OSTI)

This report reviews the results of three surveys that collected information on household equipment: The 1994 and 1995 Household Equipment Surveys and the 1993 Survey of Household Energy Use. The goal of the report is to highlight the features of energy-consuming equipment bought by Canadian households in 1994 and 1995 in comparison to those owned by households in 1993. Results are presented by type of equipment: Refrigerators, stoves, dishwashers, freezers, automatic washers, automatic dryers, air conditioning systems, heating systems, and water heaters. Appendices include information on survey methodology and a copy of the survey questionnaire.

Not Available

1997-01-01T23:59:59.000Z

355

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)

356

Analysis of household refrigerators for different testing standards  

SciTech Connect (OSTI)

This study highlights the salient differences among various testing standards for household refrigerator-freezers and proposes a methodology for predicting the performance of a single evaporator-based vapor-compression refrigeration system (either refrigerator or freezer) from one test standard (where the test data are available-the reference case) to another (the alternative case). The standards studied during this investigation include the Australian-New Zealand Standard (ANZS), the International Standard (ISO), the American National Standard (ANSI), the Japanese Industrial Standard (JIS), and the Chinese National Standard (CNS). A simple analysis in conjunction with the BICYCLE model (Bansal and Rice 1993) is used to calculate the energy consumption of two refrigerator cabinets from the reference case to the alternative cases. The proposed analysis includes the effect of door openings (as required by the JIS) as well as defrost heaters. The analytical results are found to agree reasonably well with the experimental observations for translating energy consumption information from one standard to another.

Bansal, P.K. [Univ. of Auckland (New Zealand). Dept. of Mechanical Engineering; McGill, I. [Fischer and Paykel Ltd., Auckland (New Zealand)

1995-08-01T23:59:59.000Z

357

Northern Mariana Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Mariana Islands: Energy Resources Mariana Islands: Energy Resources Jump to: navigation, search Name Northern Mariana Islands 2-letter ISO code MP 3-letter ISO code MNP Numeric ISO code 580 Equivalent URI DBpedia GeoNames ID 4041468 Advanced Economy[1] No References CIA World Factbook, Appendix D[2] Wikipedia[3] Geonames[4] This article is a stub. You can help OpenEI by expanding it. The Northern Mariana Islands is a commonwealth in political union with the United States of America. Energy Incentives for Northern Mariana Islands N. Mariana Islands - Building Energy Code (N. Mariana Islands) N. Mariana Islands - Energy Star Rebate Program (N. Mariana Islands) N. Mariana Islands - Renewables Portfolio Standard (N. Mariana Islands) References ↑ IMF World Economic Outlook Database April 2009 -- WEO Groups and

358

Auger-electron and x-ray production in 50- to 2000-keV Ne+Ne collisions  

Science Journals Connector (OSTI)

The production of vacancies in the inner and outer shells of the target and projectile have been studied in Nei+ + Ne collisions in the incident energy range of 45 keV to 2.2 MeV through the observation of K x rays and Auger electrons. Data are given for incident charge states i=0, 1, and 2. Parameters necessary for the analysis of collision kinematics were extracted from previous data and used to investigate these effects on the observed Auger spectra. The kinematic line broadening in the Ne collisions is shown to obscure the peak structure characteristic of the multiple ionization states. The centroid energies and average energy widths of the Auger groups, together with absolute intensities, are reported as a function of the Nei+ energy and electron emission angle for both target and projectile. After kinematic corrections, it is found that target and projectile Auger-electron emission are isotropic to within ± 10% and that the K vacancy created is equally shared between the target and projectile. The average number n¯A of electrons removed from the L shell simultaneous with the K vacancy production is estimated from the centroid Auger-electron energies and compared with previously measured data. It is found that n¯A increases with the Ne+ energy from ?2.5-3.6 over the energy range studied. Absolute cross sections for x-ray and Auger-electron production are reported with an accuracy of about ±15%, and mean fluorescence yields are determined from these cross-section data. The fluorescence yield increases with incident Ne+-ion energy, and is consistent with the observed degree of L-shell ionization. Total K-vacancy production cross sections agree well with available calculations below 200 keV, but the theoretical results underestimate the cross sections at higher energies. This reflects a breakdown of the two-state approximation made in the calculation. Information regarding the coupling of outer-shell molecular orbitals in the entrance channel is extracted from the comparison of the measured data and previous calculations.

N. Stolterfoht, D. Schneider, D. Burch, B. Aagaard, E. Bøving, and B. Fastrup

1975-10-01T23:59:59.000Z

359

Solar disinfection: an approach for low-cost household water treatment technology in Southwestern Ethiopia  

Science Journals Connector (OSTI)

Disinfection of contaminated water using solar radiation (SODIS) is known to inactivate ... study was aiming to test the efficiency of solar disinfection using different water parameters as low-cost household wat...

Awrajaw Dessie; Esayas Alemayehu…

2014-01-01T23:59:59.000Z

360

Metering Campaign on All Cooking End-Uses in 100 Households  

Science Journals Connector (OSTI)

This paper presents the findings of an experimental study performed in 100 French households on the end-use power demand and energy consumption of domestic appliances focusing on cooking appliances [1].

Olivier Sidler

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Monitoring effective use of household water treatment and safe storage technologies in Ethiopia and Ghana  

E-Print Network [OSTI]

Household water treatment and storage (HWTS) technologies dissemination is beginning to scale-up to reach the almost 900 million people without access to an improved water supply (WHO/UNICEF/JMP, 2008). Without well-informed ...

Stevenson, Matthew M

2009-01-01T23:59:59.000Z

362

9 - Chinese healthcare system reforms and household saving patterns: some stylised facts  

Science Journals Connector (OSTI)

Abstract: This chapter aims to evaluate the relationship between one of the recent healthcare reforms in the People’s Republic of China and household decisions both in terms of out-of-pocket expenditure and saving. Evidence on the results achieved by reforms of the health insurance sector in terms of reducing out-of-pocket medical expenditure is still uncertain and contradictory, and very little is known about the effect of these measures on the consumption and saving behaviour of the Chinese population. To shed light on this issue we use data collected by Chinese Household Income Project surveys (CHIPs), through a series of questionnaire-based interviews conducted in urban areas in 1995 and 2002. Our descriptive analysis suggests that there is a positive relationship between public health insurance coverage and household saving. This empirical evidence suggests that public insurance coverage is ineffective as a source of protection against income losses and might induce households to save more.

Vincenzo Atella; Agar Brugiavini; Hao Chen; Noemi Pace

2014-01-01T23:59:59.000Z

363

Household technology adoption in a global marketplace: Incorporating the role of espoused cultural values  

Science Journals Connector (OSTI)

While MATH and the extended MATH have done an excellent job in explaining household technology adoption, there is still room for advancing our understanding of this phenomenon in light of the complexities embo...

Xiaojun Zhang; Likoebe M. Maruping

2008-09-01T23:59:59.000Z

364

Distributional Impacts of Carbon Pricing: A General Equilibrium Approach with Micro-Data for Households  

E-Print Network [OSTI]

Many policies to limit greenhouse gas emissions have at their core efforts to put a price on carbon emissions. Carbon pricing impacts households both by raising the cost of carbon intensive products and by changing factor ...

Rausch, Sebastian

365

Fact #748: October 8, 2012 Components of Household Expenditures on Transportation, 1984-2010  

Broader source: Energy.gov [DOE]

The overall share of annual household expenditures for transportation was lower in 2010 than it was in 1984, reaching its lowest point in 2009 at 15.5%. In the early to mid-1980s when oil prices...

366

Essays on Price Dynamics, Welfare Analysis, Household Food Insecurity in Mexico  

E-Print Network [OSTI]

prices, and determinants of household food insecurity are discussed and presented in three separate essays. In the first essay, the dynamic information flows among prices of important agricultural commodities in the United States (U.S.) and Mexico...

Magana Lemus, David

2013-09-20T23:59:59.000Z

367

Race, median household income, and primary Grade IV glioma treatment patterns  

Science Journals Connector (OSTI)

...behaviors among a population of Hispanic origin. Daisy Gonzalez 1...population subgroups, including Hispanics. Objective: This study assessed...population-based sample of Hispanic women in PR. Methods: This...complex sampling design of households in the San Juan Metropolitan...

Jill S. Barnholtz-Sloan; Vonetta L. Williams; Marc Chamberlain; and Andrew E. Sloan

2006-04-15T23:59:59.000Z

368

Household structure and labor force participation of black, hispanic, and white mothers  

Science Journals Connector (OSTI)

This paper investigates whether the inclusion of nonnuclear adults in a household facilitates the labor force participation of single and married mothers. Results based on a sample of extended and nuclear hous...

Marta Tienda; Jennifer Glass

1985-08-01T23:59:59.000Z

369

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

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

Drivers of U.S. Household Energy Consumption, 1980-2009 February 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy...

370

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network [OSTI]

market share for alternative-fuel vehicles drop from thePreferences for Alternative-Fuel Vehicles”, Brownstone DavidA Dynamic Household Alternative-fuel Vehicle Demand Model

Sheng, Hongyan

1999-01-01T23:59:59.000Z

371

The effect of household characteristics on saving behaviour and the theory of savings in Japan  

Science Journals Connector (OSTI)

The purpose of this paper is to estimate the household saving functions based on cross-section data which contain fruitful informations of individual observations. The paper also attempts to test various theor...

T. Suruga; T. Tachibanaki

1991-01-01T23:59:59.000Z

372

The Relationship Between Life Satisfaction Among Wives and Financial Preparedness of Households in Japan  

Science Journals Connector (OSTI)

The wealth gap between the rich and poor is widening and contributing to Japan’s shrinking middle class. This study examined ... future and life satisfaction and their association with household financial prepare...

Yoko Mimura

2014-02-01T23:59:59.000Z

373

Modelling useful energy demand system as derived from basic needs in the household sector  

Science Journals Connector (OSTI)

Inter-fuel substitution in the household sector depends on whether their target energy use is similar or not. To account ... for the effect of end-use application on energy demand, the concept of useful energy is...

Zahra A. Barkhordar; Yadollah Saboohi

2014-10-01T23:59:59.000Z

374

2013 Annual DOE-NE Materials Research Coordination Meeting | Department of  

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

2013 Annual DOE-NE Materials Research Coordination Meeting 2013 Annual DOE-NE Materials Research Coordination Meeting 2013 Annual DOE-NE Materials Research Coordination Meeting The Reactor Materials element of the Nuclear Energy Enabling Technologies (NEET) program conducted its FY 2013 coordination meeting as a series of four web-conferences to act as a forum for the nuclear materials research community. The purpose of this meeting was to report on current and planned nuclear materials research, identify new areas of collaboration and promote greater coordination among the various Office of Nuclear Energy (NE) programs. Currently, materials research is performed in several NE programs, including NE Advanced Modeling and Simulation (NEAMS), Fuel Cycle Research and Development (FCRD), Advanced Reactor Technologies

375

2013 Annual DOE-NE Materials Research Coordination Meeting | Department of  

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

2013 Annual DOE-NE Materials Research Coordination Meeting 2013 Annual DOE-NE Materials Research Coordination Meeting 2013 Annual DOE-NE Materials Research Coordination Meeting The Reactor Materials element of the Nuclear Energy Enabling Technologies (NEET) program conducted its FY 2013 coordination meeting as a series of four web-conferences to act as a forum for the nuclear materials research community. The purpose of this meeting was to report on current and planned nuclear materials research, identify new areas of collaboration and promote greater coordination among the various Office of Nuclear Energy (NE) programs. Currently, materials research is performed in several NE programs, including NE Advanced Modeling and Simulation (NEAMS), Fuel Cycle Research and Development (FCRD), Advanced Reactor Technologies

376

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

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

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

377

A Mixed Nordic Experience: Implementing Competitive Retail Electricity Markets for Household Customers  

SciTech Connect (OSTI)

Although the Nordic countries were among the first to develop competition in the electricity industry, it took a long time to make retail competition work. In Norway and Sweden a considerable number of households are actively using the market but very few households are active in Finland and Denmark. One problem has been institutional barriers involving metering, limited unbundling of distribution and supply, and limited access to reliable information on contracts and prices. (author)

Olsen, Ole Jess; Johnsen, Tor Arnt; Lewis, Philip

2006-11-15T23:59:59.000Z

378

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

E-Print Network [OSTI]

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 Direct Rural Support of Mexico (PROGRESA) and the Program of Direct Rural Support of Mexico (PROCAMPO), appear to be increasing iii homeownership. These social welfare programs provide cash transfers to households. For whatever reason, PROGRESA...

Lopez Cabrera, Jesus Antonio 1977-

2012-11-05T23:59:59.000Z

379

Applications of demand analysis for the dairy industry using household scanner data  

E-Print Network [OSTI]

Education 7 10 Martial Status 5 11 Male Head Occupation 12 12 Female Head Occupation 12 13 Household Composition 8 14 Race 4 15 Hispanic Origin 2 16 Region 4 17 Scantrack Market Identifier 53 18 Projection Factor 1... classified as either Hispanic or not Hispanic, with 18% being Hispanic and 82% not Hispanic. Since female household heads are considered primary to making food purchase decisions some key statistics about this demographic variable are included. Of all...

Stockton, Matthew C.

2005-02-17T23:59:59.000Z

380

Arsenic Removal from Groundwater by Household Sand Filters:? Comparative Field Study, Model Calculations, and Health Benefits  

Science Journals Connector (OSTI)

Arsenic Removal from Groundwater by Household Sand Filters:? Comparative Field Study, Model Calculations, and Health Benefits ... Simultaneously, raw groundwater from the same households and additional 31 tubewells was sampled to investigate arsenic coprecipitation with hydrous ferric iron from solution, i.e., without contact to sand surfaces. ... Concentra tions of total Fe, Mn, Na, K, Mg, and Ca were quantified by atomic absorption spectroscopy (Shimadzu AA-6800, Kyoto, Japan). ...

Michael Berg; Samuel Luzi; Pham Thi Kim Trang; Pham Hung Viet; Walter Giger; Doris Stüben

2006-07-19T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

N.E. Leonard U. Pisa 18-20 April 2007Slide 1 Cooperative Control  

E-Print Network [OSTI]

1 N.E. Leonard ­ U. Pisa ­ 18-20 April 2007Slide 1 Cooperative Control and Mobile Sensor Networks.princeton.edu/~naomi N.E. Leonard ­ U. Pisa ­ 18-20 April 2007Slide 2 Outline and Key References A. Artificial Potentials-20 April 2007Slide 3 Outline and Key References D. Virtual Tensegrity Structures: B. Nabet and N.E. Leonard

Leonard, Naomi

382

N.E. Leonard U. Pisa 18-20 April 2007Slide 1 Cooperative Control  

E-Print Network [OSTI]

1 N.E. Leonard ­ U. Pisa ­ 18-20 April 2007Slide 1 Cooperative Control and Mobile Sensor Networks.princeton.edu/~naomi N.E. Leonard ­ U. Pisa ­ 18-20 April 2007Slide 2 Outline 1. Introduction to cooperative control.E. Leonard ­ U. Pisa ­ 18-20 April 2007Slide 3 Reference 1. E. Fiorelli, N.E. Leonard, P. Bhatta, D. Paley, R

Leonard, Naomi

383

Bimodal Island Size Distribution in Heteroepitaxial Growth  

Science Journals Connector (OSTI)

A bimodal size distribution of two-dimensional islands is inferred during interface formation in heteroepitaxial growth of bismuth ferrite on (001) oriented SrTiO3 by sputter deposition. Features observed by in situ x-ray scattering are explained by a model where coalescence of islands determines the growth kinetics with negligible surface diffusion on SrTiO3. Small clusters maintain a compact shape as they coalesce, while clusters beyond a critical size impinge to form large irregular connected islands and a population of smaller clusters forms in the spaces between the larger ones.

P.?V. Chinta and R.?L. Headrick

2014-02-20T23:59:59.000Z

384

Juvenile marine fishes of Harbor Island, Texas  

E-Print Network [OSTI]

(December, 1977) Robert Eugene Bonin, B. S. , Heidelberg College Chairman of Advisory Committee: Dr. Thomas Bright A one-year study was made of juvenile marine fishes in the shallow water grass flats of Harbor Island, Texas. Samples were taken at each... the flats of llarbor Island . 91 vi 1 1 LIST OF FIGURES FIGURE PME Location of Harbor Island Location of collection sites. Beam trawl used in study. Seasonal changes in average salinity on the flats 17 Seasonal changes in average water temperature...

Bonin, Robert Eugene

2012-06-07T23:59:59.000Z

385

Emergently Thermalized Islands in the Landscape  

E-Print Network [OSTI]

In this note, we point out that in the eternal inflation driven by the metastable vacua of the landscape, it might be possible that some large and local quantum fluctuations with the null energy condition violation can stride over the barriers between different vacua and straightly create some islands with radiation and matter in new vacua. Then these thermalized islands will evolve with the standard cosmology. We show that such islands may be consistent with our observable universe, while has some distinctly observable signals, which may be tested in coming observations.

Yun-Song Piao

2008-01-08T23:59:59.000Z

386

A Case Study For Geothermal Exploration In The Ne German Basin...  

Open Energy Info (EERE)

Geothermal Exploration In The Ne German Basin- Integrated Interpretation Of Seismic Tomography, Litho-Stratigraphy, Salt Tectonics, And Thermal Structure Jump to: navigation,...

387

U.S. Navy- San Clemente Island, California  

Broader source: Energy.gov [DOE]

San Clemente Island is one of the Channel Islands off the southern coast of California. The U.S. Navy owns the 21-mile long island, making it one of the Navy's largest real estate assets. The Navy uses the island for research, development, testing, evaluation, and training.

388

Definition: Automated Islanding And Reconnection | Open Energy Information  

Open Energy Info (EERE)

Islanding And Reconnection Islanding And Reconnection Jump to: navigation, search Dictionary.png Automated Islanding And Reconnection Automated Islanding and Reconnection Automated islanding and reconnection is achieved by automated separation and subsequent reconnection (autonomous synchronization) of an independently operated portion of the T&D system (i.e., microgrid) from the interconnected electric grid. A microgrid is an integrated energy system consisting of interconnected loads and distributed energy resources which, as an integrated system, can operate in parallel with the grid or as an island.[1] View on Wikipedia Wikipedia Definition Islanding refers to the condition in which a distributed (DG) generator continues to power a location even though electrical grid power

389

Alternative Fuels Data Center: Rhode Island Points of Contact  

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

Rhode Island Points of Rhode Island Points of Contact to someone by E-mail Share Alternative Fuels Data Center: Rhode Island Points of Contact on Facebook Tweet about Alternative Fuels Data Center: Rhode Island Points of Contact on Twitter Bookmark Alternative Fuels Data Center: Rhode Island Points of Contact on Google Bookmark Alternative Fuels Data Center: Rhode Island Points of Contact on Delicious Rank Alternative Fuels Data Center: Rhode Island Points of Contact on Digg Find More places to share Alternative Fuels Data Center: Rhode Island Points of Contact on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Rhode Island Points of Contact The following people or agencies can help you find more information about Rhode Island's clean transportation laws, incentives, and funding

390

Bluewater Wind Rhode Island | Open Energy Information  

Open Energy Info (EERE)

Rhode Island Rhode Island Jump to: navigation, search Name Bluewater Wind Rhode Island Facility Bluewater Wind Rhode Island Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner NRG Bluewater Wind Developer NRG Bluewater Wind Location Atlantic Ocean RI Coordinates 41.357°, -71.152° 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":41.357,"lon":-71.152,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

391

University of Rhode Island | Open Energy Information  

Open Energy Info (EERE)

Rhode Island Rhode Island Jump to: navigation, search Hydro | Hydrodynamic Testing Facilities Name University of Rhode Island Address Department of Ocean Engineering, Sheets Building, Bay Campus Place Narragansett, Rhode Island Zip 02882 Sector Hydro Phone number (401) 874-6139 Website http://www.oce.uri.edu/baycamp Coordinates 41.3983403°, -71.4893013° 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":41.3983403,"lon":-71.4893013,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

392

Island Energy Solutions | Open Energy Information  

Open Energy Info (EERE)

Island Energy Solutions Island Energy Solutions Jump to: navigation, search Name Island Energy Solutions Place Kailua, Hawaii Zip 96734 Product Island Energy Solutions, Inc. is an electrical contracting company, based out of Kailua, Oahu, Hawaii. Coordinates 21.396572°, -157.740068° 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":21.396572,"lon":-157.740068,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

393

Recovery Act State Memos Mariana Islands  

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

the the Northern Mariana Islands to play an important role in the new energy economy of the future. EXAMPLES OF NORTHERN MARIANA ISLANDS FORMULA GRANTS Program Award State Energy Program Weatherization Assistance Program Energy Efficiency Conservation Block Grants Energy Efficiency Appliance Rebate Program $18.7 million $29.4 million $9.6 million $0.1 million The Commonwealth of the Northern Mariana Islands has received $18.7 million in State Energy Program funds to invest in state- and territory- level energy efficiency and renewable energy priorities. The Commonwealth of the Northern Mariana Islands has received over $29.4 million in Weatherization Assistance Program funds to scale-up existing weatherization efforts in the

394

Community Redevelopment Case Study: Jekyll Island  

Broader source: Energy.gov [DOE]

Presentation—given at the April 2012 Federal Utility Partnership Working Group (FUPWG) meeting—features photos from a case study about Jekyll Island's community redevelopment project in Georgia.

395

Offshore Islands Ltd | Open Energy Information  

Open Energy Info (EERE)

Current Catcher Wave Catcher This article is a stub. You can help OpenEI by expanding it. Retrieved from "http:en.openei.orgwindex.php?titleOffshoreIslandsLtd&oldid76931...

396

Faroe Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

"inlineLabel":"","visitedicon":"" Country Profile Name Faroe Islands Population 48,351 GDP 2,450,000,000 Energy Consumption 0.01 Quadrillion Btu 2-letter ISO code FO 3-letter...

397

Energy Audits on Prince Edward Island  

E-Print Network [OSTI]

High energy costs and uncertain supplies force industrial operators to seek out energy waste to keep costs down. The Enersave for Industry and Commerce program assists Prince Edward Island industries through an energy audit and grant program. A...

Hall, N. G.; Gillis, D.

1980-01-01T23:59:59.000Z

398

Metromorphosis : evolution on the urban island  

E-Print Network [OSTI]

Cities are very much alive. Like islands, they provide a natural testing ground for evolution. With more than half of the world's population living in urban areas now, the influence cities have on the planet's life is ...

Vezina, Kenrick (Kenrick Freitas)

2011-01-01T23:59:59.000Z

399

Recovery Act State Memos Rhode Island  

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

Rhode Island Rhode Island For questions about DOE's Recovery Act activities, please contact the DOE Recovery Act Clearinghouse: 1-888-DOE-RCVY (888-363-7289), Monday through Friday, 9 a.m. to 7 p.m. Eastern Time https://recoveryclearinghouse.energy.gov/contactUs.htm. All numbers and projects listed as of June 1, 2010 TABLE OF CONTENTS RECOVERY ACT SNAPSHOT................................................................................... 1 FUNDING ALLOCATION TABLE.............................................................................. 2 ENERGY EFFICIENCY ............................................................................................... 3 RENEWABLE ENERGY ............................................................................................. 4

400

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

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

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

Note: This page contains sample records for the topic "islander households ne" 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

EG&G SURVEY REPORT NE-F-003  

Office of Legacy Management (LM)

EBJG EBJG -ENERGY MEASUREMENTS GROUP EG&G SURVEY REPORT NE-F-003 FEBRUARY 1983 NJT& THE REMOTE SENSING lRtlORlllORY OF THE UNITED STATES DEPARTMENT OF ENERGY AN AERIAL RADIOLOGICAL SURVEY OF AN AREA SURROUNDING THE FORMER M IDDLESEX SAMPLING PLANT IN M IDDLESEX, N E W JERSEY DATE OF SURVEY: M A Y 1978 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, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or

402

PNM Resources 2401 Aztec NE, MS-Z100  

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

PNM Resources PNM Resources 2401 Aztec NE, MS-Z100 Albuquerque, NM 87107 505-241-2025 Fax 505 241-2384 PNMResources.com October 29, 2013 Mr. Christopher Lawrence Office of Electricity Delivery and Energy Reliability (OE-20) U.S. Department of Energy 1000 Independence Avenue, SW Washington, DC 20585 Submitted electronically via email to: Christopher.Lawrence@hq.doe.gov Dear Mr. Lawrence: Subject: Department of Energy (DOE)- Improving Performance of Federal Permitting and Review of Infrastructure Projects, Request for Information, 78 Fed. Reg. 53436 (Aug. 29, 2013) PNM Resources (PNMR) is an energy holding company with 2012 consolidated operating revenues of $1.3 billion. Through its regulated utilities, PNM and TNMP, PNMR serves electricity to more than 739,000 homes and businesses in New

403

CA M r. Andrew Wallo, III. NE-23  

Office of Legacy Management (LM)

i5W 95.5 L' i5W 95.5 L' E&nt plom. S. W.:. Washingr on. D.C. ZOOX2i74, Tekphm: (202) 488-6OGb 7II7-03.87.cdy.43 23 September 1987. Ii CA M r. Andrew Wallo, III. NE-23 Division of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 Dear M r. Wallo: ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES pqq.0' 05 PI ;p.03- The attached elimination recommendation was prepared in accordance ,I ML.05 with your suggestion during our meeting on 22 September. The recommendation flO.O-02 includes 26 colleges and universities identified in Enclosure 4 to Aerospace letter subject: Status of Actions - FUSRAP Site List, dated 27 May 1987; three institutions (Tufts College, University of Virginia, and the University of Washington) currently identified on the FUSRAP

404

Idaho National Laboratory DOE-NE's National Nuclear Capability-  

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

4-2023 4-2023 Idaho National Laboratory DOE-NE's National Nuclear Capability- Developing and Maintaining the INL Infrastructure TEN-YEAR SITE PLAN DOE/ID-11474 Final June 2012 Sustainable INL continues to exceed DOE goals for reduction in the use of petroleum fuels - running its entire bus fleet on biodiesel while converting 75% of its light-duty fleet to E85 fuel. The Energy Systems Laboratory (ESL), slated for completion this year, will be a state-of-the-art laboratory with high-bay lab space where leading bioenergy feedstock processing, advanced battery testing, and hybrid energy systems integration research will be conducted. The Advanced Test Reactor is the world's most advanced nuclear research capability - crucial to (1) the ongoing development of safe, efficient

405

NE-24 Unlverslty of Chicayo Remedial Action Plan  

Office of Legacy Management (LM)

(YJ 4 tlsj .?I2 (YJ 4 tlsj .?I2 416 17 1983 NE-24 Unlverslty of Chicayo Remedial Action Plan 22&d 7 IA +-- E. I.. Keller, Director Technical Services Division Oak Ridge Operations Ufflce In response to your memorandum dated July 29, 1983, the Field Task Proposal/Agreement (FTP/A) received frw Aryonne National Laboratory (ANL) appears to be satisfactory, and this office concurs in the use of ANL to provide the decontamination effort as noted in the FTP/A. The final decontaminatton report should Include the data needed for certiff- cation of the cleanup and any contamination left In place, e.g., sewer lines should be so documented in the permanent records of the University as well as the certification documents and reports. The remedial action to be conducted appears to be clearly InsIgnifIcant from an environmental

406

Photon-emission studies of slow C4+-Ne collisions  

Science Journals Connector (OSTI)

We present absolute term- and level-selective cross sections for specific single- and double-electron capture processes in slow (16 keV) C4+-Ne collisions. The results are deduced through a combined analysis of earlier translational energy-gain data and the present photon-emission cross sections in the region 40–240 nm. We find that double-electron capture is dominated by processes in which two electrons appear to change orbitals in a single interaction of two diabatic quasimolecular potential curves—a type of process which rarely has been isolated before. Furthermore, we observe a strong preference for population of 2s2p over 2p2 configurations in these one-step two-electron capture reactions. This is a remarkable configuration selectivity, since reaction channels leading to 2s2p and 2p2 configurations cross with the incident channel at almost the same internuclear distances.

M.O. Larsson; A. Wännström; M. Wang; A. Arnesen; F. Heijkenskjöld; A. Langereis; B. Nyström; R.W. McCullough; H. Cederquist

1997-03-01T23:59:59.000Z

407

Microsoft PowerPoint - NEAC Battelle NE Capabilities 062408.ppt  

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

R&D Facility Requirements NEAC Meeting Progress Report June 24, 2008 2 Facilitization of U.S. Nuclear R&D Infrastructure Three-step study process: * First, ASNE requested Battelle Memorial Institute to develop Industry- and-University-supported list of capabilities and facilities necessary to conduct a comprehensive nuclear R&D program. (Draft, June 12, 2008) * Second, INL, using input from all DOE and other sources, will determine current facilities and their condition and availability to support next 20 years of nuclear R&D. (Draft, June 30, 2008) * Third, recommendations will be made on priorities and on existing facilities to be maintained/preserved or otherwise supported by NE regardless of location or ownership. (Executive Team Meeting, July 1, 2008)

408

Island Dynamics in the Large-Helical-Device Plasmas  

Science Journals Connector (OSTI)

In the Large Helical Device plasma discharges, the size of an externally imposed island with mode number ( n/m=1/1) decreases substantially when the plasma is collisionless ( ?*?0.1%) at the island location. For the collisional plasmas with finite beta, on the other hand, the size of the island increases. However, there is a threshold in terms of the vacuum island size below which the island enlargement is not seen.

N. Ohyabu et al.

2002-01-22T23:59:59.000Z

409

Block Island Power Co | Open Energy Information  

Open Energy Info (EERE)

Block Island Power Co Block Island Power Co Jump to: navigation, search Name Block Island Power Co Place Rhode Island Utility Id 1857 Utility Location Yes Ownership I NERC Location NPCC NERC NPCC Yes Operates Generating Plant Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Residential: $0.4450/kWh Commercial: $0.4670/kWh The following table contains monthly sales and revenue data for Block Island Power Co (Rhode Island). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS

410

The impact of the Persian Gulf crisis on household energy consumption and expenditure patterns  

SciTech Connect (OSTI)

The Iraqi invasion of the Kingdom of Kuwait on August 2, 1990, and the subsequent war between Iraq and an international alliance led by the United States triggered first immediate and then fluctuating world petroleum prices. Increases in petroleum prices and in U.S. petroleum imports resulted in increases in the petroleum prices paid by U.S. residential, commercial, and industrial consumers. The result was an immediate price shock that reverberated throughout the U.S. economy. The differential impact of these price increases and fluctuations on poor and minority households raised immediate, significant, and potentially long-term research, policy, and management issues for a variety of federal, state, and local government agencies, including the U.S. Department of Energy (DOE). Among these issues are (1) the measurement of variations in the impact of petroleum price changes on poor, nonpoor, minority, and majority households; (2) how to use the existing policy resources and policy innovation to mitigate regressive impacts of petroleum price increases on lower-income households; and (3) how to pursue such policy mitigation through government agencies severely circumscribed by tax and expenditure limitations. Few models attempt to assess household energy consumption and energy expenditure under various alternative price scenarios and with respect to the inclusion of differential household choices correlated with such variables as race, ethnicity, income, and geographic location. This paper provides a preliminary analysis of the nature and extent of potential impacts of petroleum price changes attributable to the Persian Gulf War and its aftermath on majority, black, and Hispanic households and on overlapping poor and nonpoor households. At the time this was written, the Persian Gulf War had concluded with Iraq`s total surrender to all of the resolutions and demands of the United Nations and United States.

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

1994-09-01T23:59:59.000Z

411

Evaluation of the soft measures' effects on ambient water quality improvement and household and industry economies  

Science Journals Connector (OSTI)

Abstract Various ecological footprint calculators, carbon footprint calculators and water footprint calculators have been developed in recent years. The basic concepts of ecological behaviour record notebooks and of carbon dioxide emission calculators have been developed since the late 20th century. The first carbon dioxide emission calculator was developed in 1991. Likewise, water pollutant discharge calculators have been developed to estimate the effects of soft measures introduced into households to reduce pollutant discharge since 2004. The soft measures which have been developed in Japan may consist of a wider framework, household sustainable consumption, which has been developed in Europe, and can be referred to cleaner consumption. In this research, summarisation of the short history of ecological behaviour record notebooks and ecological footprint calculators in Japan since the 1980s was conducted, and the soft measures in households to reduce pollutant discharge were evaluated for their effects on ambient water quality improvement as well as household and industry economies. Effects of the soft measures on related industry economies were investigated using an Input–Output Table analysis and the effects of the imported goods were evaluated with an import effect matrix, which was developed in this research. The effects of the soft measures on household expenditures were estimated to be a decrease by 2.5% or USD 285 person?1 year?1 in 2003–2006. The results show that the soft measures positively affect the chemical fibre industry and significantly affect the detergent industry. Analysis of the import effect matrix proved that the six industries were tightly related through extensive amounts of imported goods. The soft measures in households may lead to household sustainable consumption and thus reduce disadvantageous human impacts on water environments. The effects of the measures introduced to improve the environment should be qualitatively and quantitatively evaluated to avoid redundant concerns and discord between the environment and the economy, which may be worried when the relationship is not well understood.

Yoshiaki Tsuzuki

2014-01-01T23:59:59.000Z

412

Greenhouse gas emissions from home composting of organic household waste  

SciTech Connect (OSTI)

The emission of greenhouse gases (GHGs) is a potential environmental disadvantage of home composting. Because of a lack of reliable GHG emission data, a comprehensive experimental home composting system was set up. The system consisted of six composting units, and a static flux chamber method was used to measure and quantify the GHG emissions for one year composting of organic household waste (OHW). The average OHW input in the six composting units was 2.6-3.5 kg week{sup -1} and the temperature inside the composting units was in all cases only a few degrees (2-10 {sup o}C) higher than the ambient temperature. The emissions of methane (CH{sub 4}) and nitrous oxide (N{sub 2}O) were quantified as 0.4-4.2 kg CH{sub 4} Mg{sup -1} input wet waste (ww) and 0.30-0.55 kg N{sub 2}O Mg{sup -1} ww, depending on the mixing frequency. This corresponds to emission factors (EFs) (including only CH{sub 4} and N{sub 2}O emissions) of 100-239 kg CO{sub 2}-eq. Mg{sup -1} ww. Composting units exposed to weekly mixing had the highest EFs, whereas the units with no mixing during the entire year had the lowest emissions. In addition to the higher emission from the frequently mixed units, there was also an instant release of CH{sub 4} during mixing which was estimated to 8-12% of the total CH{sub 4} emissions. Experiments with higher loads of OHW (up to 20 kg every fortnight) entailed a higher emission and significantly increased overall EFs (in kg substance per Mg{sup -1} ww). However, the temperature development did not change significantly. The GHG emissions (in kg CO{sub 2}-eq. Mg{sup -1} ww) from home composting of OHW were found to be in the same order of magnitude as for centralised composting plants.

Andersen, J.K., E-mail: jka@env.dtu.d [Department of Environmental Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby (Denmark); Boldrin, A.; Christensen, T.H.; Scheutz, C. [Department of Environmental Engineering, Technical University of Denmark, DK-2800, Kongens Lyngby (Denmark)

2010-12-15T23:59:59.000Z

413

THE GENESIS SOLAR WIND CONCENTRATOR TARGET: MASS FRACTIONATION CHARACTERISED BY NE ISOTOPES  

SciTech Connect (OSTI)

The concentrator on Genesis provides samples of increased fluences of solar wind ions for precise determination of the oxygen isotopic composition of the solar wind. The concentration process caused mass fractionation as function of the radial target position. They measured the fractionation using Ne released by UV laser ablation along two arms of the gold cross from the concentrator target to compare measured Ne with modeled Ne. The latter is based on simulations using actual conditions of the solar wind during Genesis operation. Measured Ne abundances and isotopic composition of both arms agree within uncertainties indicating a radial symmetric concentration process. Ne data reveal a maximum concentration factor of {approx} 30% at the target center and a target-wide fractionation of Ne isotopes of 3.8%/amu with monotonously decreasing {sup 20}Ne/{sup 22}Ne ratios towards the center. The experimentally determined data, in particular the isotopic fractionation, differ from the modeled data. They discuss potential reasons and propose future attempts to overcome these disagreements.

WIENS, ROGER C. [Los Alamos National Laboratory; OLINGER, C. [Los Alamos National Laboratory; HEBER, V.S. [Los Alamos National Laboratory; REISENFELD, D.B. [Los Alamos National Laboratory; BURNETT, D.S. [Los Alamos National Laboratory; ALLTON, J.H. [Los Alamos National Laboratory; BAUR, H. [Los Alamos National Laboratory; WIECHERT, U. [Los Alamos National Laboratory; WIELER, R. [Los Alamos National Laboratory

2007-01-02T23:59:59.000Z

414

Sample Curriculum for EECS/NE Joint Major EECS and Nuclear Engineering  

E-Print Network [OSTI]

Sample Curriculum for EECS/NE Joint Major Year EECS and Nuclear Engineering Fall Spring FRESHMAN Math 1A (4 units) Math 1B (4 units) Chemistry 1A (4 units) CS 61B or 61 BL (4 units) Engineering 10 (3 (4 units) Electives (3 units) JUNIOR NE 101 (4 units) Stat 25/Stat134/EE 126 (3-4 units) Engineering

California at Irvine, University of

415

NeXus: A common format for the exchange of neutron and synchroton data  

Science Journals Connector (OSTI)

NeXus is a data format for the exchange of neutron and synchrotron scattering data between facilities and user institutions. It has been developed by an international team of scientists and computer programmers from neutron and X-ray facilities around the world. The NeXus format uses the hierarchical data format (HDF) which is portable, binary, extensible and self-describing. The NeXus format defines the structure and contents of these HDF files in order to facilitate the visualization and analysis of neutron and X-ray data. In addition, an application program interface (API) is being produced in order to simplify the reading and writing of NeXus files. The details of the format are available at ?http://www.neutron.anl.gov/NeXus/?.

P Klosowski; M Koennecke; J.Z Tischler; R Osborn

1997-01-01T23:59:59.000Z

416

EA-1909: South Table Wind Project, Kimball County, NE | Department of  

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

09: South Table Wind Project, Kimball County, NE 09: South Table Wind Project, Kimball County, NE EA-1909: South Table Wind Project, Kimball County, NE Summary DOE's Western Area Power Administration is preparing this EA to evaluate the environmental impacts of interconnecting the proposed South Table Wind Project, which would generate approximately 60 megawatts from about 40 turbines, to Western's existing Archer-Sidney 115-kV Transmission Line in Kimball County, Nebraska. Public Comment Opportunities None available at this time. Documents Available for Download August 28, 2012 EA-1909: Finding of No Significant Impact South Table Wind Project, Kimball County, NE July 16, 2012 EA-1909: Final Environmental Assessment South Table Wind Project, Kimball County, NE February 29, 2012 EA-1909: Draft Environmental Assessment

417

Chemical Characterization and Source Apportionment of Household Fine Particulate Matter in Rural, Peri-urban, and Urban West Africa  

Science Journals Connector (OSTI)

In addition to household’s own fuel, HAP in urban households is affected by the extent of biomass use in the neighborhood, and by traffic-related sources. ... The elemental concentrations of the samples were quantified by energy dispersive X-ray fluorescence (ED-XRF) using a Shimadzu EDX-700HS spectrometer (Shimadzu Corp., Japan) at the Institute of Astronomy, Geophysics and Atmospheric Science, University of Sao Paulo, Brazil. ...

Zheng Zhou; Kathie L. Dionisio; Thiago G. Verissimo; Americo S. Kerr; Brent Coull; Stephen Howie; Raphael E. Arku; Petros Koutrakis; John D. Spengler; Kimberly Fornace; Allison F. Hughes; Jose Vallarino; Samuel Agyei-Mensah; Majid Ezzati

2013-12-18T23:59:59.000Z

418

Snakes of the Lake ErieSnakes of the Lake Erie IslandsIslands  

E-Print Network [OSTI]

and were modified by human activities suchand were modified by human activities such as quarrying and farmingas quarrying and farming #12;Attempts were made to eradicate snakes from the islands #12;#12;...and;· Found throughout Ohio · Locally found in the quarries of Kelleys island and on the shoreline of Johnson

King, Richard B.

419

"Table HC15.3 Household Characteristics by Four Most Populated States, 2005"  

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

3 Household Characteristics by Four Most Populated States, 2005" 3 Household Characteristics by Four Most Populated States, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","Four Most Populated States" "Household Characteristics",,"New York","Florida","Texas","California" "Total",111.1,7.1,7,8,12.1 "Household Size" "1 Person",30,1.8,1.9,2,3.2 "2 Persons",34.8,2.2,2.3,2.4,3.2 "3 Persons",18.4,1.1,1.3,1.2,1.8 "4 Persons",15.9,1,0.9,1,2.3 "5 Persons",7.9,0.6,0.6,0.9,0.9 "6 or More Persons",4.1,0.4,"Q",0.5,0.7 "2005 Annual Household Income Category" "Less than $9,999",9.9,0.8,0.7,0.9,1 "$10,000 to $14,999",8.5,0.8,0.4,0.6,0.7

420

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

SciTech Connect (OSTI)

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

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

2005-05-31T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Feed the Future Bangladesh: Baseline Integrated Household Survey | Data.gov  

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

Feed the Future Bangladesh: Baseline Integrated Household Survey Feed the Future Bangladesh: Baseline Integrated Household Survey Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Feed the Future Bangladesh: Baseline Integrated Household Survey Dataset Summary Description The Bangladesh Integrated Household Survey dataset is a thorough assessment of current standard of food security in Bangladesh taken from 2011-2012. The dataset includes all baseline household surveys made under the USAID-led Feed the Future initiative, a collaborative effort that supports country-owned processes and plans for improving food security and promoting transparency, and within the Zones of Influence as outlined by the Feed the Future Bangladesh plan .The BIHS sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country; and, (c) representative of the Feed the Future (FTF) zone of influence.

422

Household transmission of pandemic 2009 influenza A (H1N1) virus in Osaka, Japan in May 2009  

Science Journals Connector (OSTI)

SummaryObjective To assess household transmission of pandemic influenza A (H1N1) and effectiveness of postexposure prophylaxis (PEP) of antiviral drugs among household contacts of patients during the first pandemic influenza A (H1N1) outbreak in Osaka, Japan in May 2009. Methods Active surveillance of patients and their families was conducted. Public Health Center staff visited each home with an infected patient and advised every household member with regard to precautionary measures, and PEP was provided to household contacts to prevent secondary infection. We analyzed the effectiveness of PEP and characteristics of secondary infection. Results The secondary attack rate (SAR) among household contacts was 3.7%. The SAR among household contacts without PEP was 26.1%. However, the SAR among those with PEP was 0.6%. Only two of 331 household contacts with PEP became infected. One of the two was infected with an oseltamivir-resistant strain. Analysis of SAR by age group showed that those under 20 years of age were at higher risk than those over 20 (relative risk [RR] = 7.9; 95% confidence interval [CI] = 2.24–27.8). Significant differences with respect to sex, number of household contacts, and use of antiviral medications in the index cases were not observed. Conclusions Our present results indicate that PEP is effective for preventing secondary H1N1 infection among household contacts.

N. Komiya; Y. Gu; H. Kamiya; Y. Yahata; Y. Yasui; K. Taniguchi; N. Okabe

2010-01-01T23:59:59.000Z

423

Alternative Fuels Data Center: Rhode Island Laws and Incentives  

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

Rhode Island Laws and Rhode Island Laws and Incentives to someone by E-mail Share Alternative Fuels Data Center: Rhode Island Laws and Incentives on Facebook Tweet about Alternative Fuels Data Center: Rhode Island Laws and Incentives on Twitter Bookmark Alternative Fuels Data Center: Rhode Island Laws and Incentives on Google Bookmark Alternative Fuels Data Center: Rhode Island Laws and Incentives on Delicious Rank Alternative Fuels Data Center: Rhode Island Laws and Incentives on Digg Find More places to share Alternative Fuels Data Center: Rhode Island Laws and Incentives on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Rhode Island Laws and Incentives Listed below are incentives, laws, and regulations related to alternative

424

National Park Service - San Miguel Island, California | Department of  

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

San Miguel Island, California San Miguel Island, California National Park Service - San Miguel Island, California October 7, 2013 - 10:00am Addthis Photo of Wind/Photovoltaic Power System at San Miguel Island San Miguel Island is one of five islands that make up Channel Islands National Park on the coast of southern California. The islands comprise 249,353 acres (100,910 hectares) of land and ocean that teems with terrestrial and marine life. The National Park Service (NPS) protects the pristine resources at Channel Islands National Park by conserving, recycling, using alternative fuel vehicles, applying renewable energy, and using resources wisely. It also seeks to replace conventional fuels with renewable energy wherever possible. This applies especially to diesel fuel and petroleum, which must

425

Rhode Island Stormwater Design and Installation Standards Manual (Rhode  

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

Rhode Island Stormwater Design and Installation Standards Manual Rhode Island Stormwater Design and Installation Standards Manual (Rhode Island) Rhode Island Stormwater Design and Installation Standards Manual (Rhode Island) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Rhode Island Program Type Environmental Regulations

426

"Table HC7.5 Space Heating Usage Indicators by Household Income, 2005"  

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

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

427

Could a Common Household Fungus Reduce Oil Imports? | Department of Energy  

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

Could a Common Household Fungus Reduce Oil Imports? Could a Common Household Fungus Reduce Oil Imports? Could a Common Household Fungus Reduce Oil Imports? June 21, 2011 - 11:37am Addthis A view of Aspergillus niger with the fungus’ DNA highlighted in green | Photo Courtesy of: PNNL. A view of Aspergillus niger with the fungus' DNA highlighted in green | Photo Courtesy of: PNNL. Ben Squires Analyst, Office of Energy Efficiency & Renewable Energy What does this mean for me? The Department's Pacific Northwest National Laboratory (PNNL) are working to harness the natural process that spoils fruits and vegetables as a way to make fuel and other petroleum substitutes from the parts of plants that we can't eat. The genetic bases of the behaviors and abilities of these two industrially relevant fungal strains will allow researchers to exploit

428

Competition Helps Kids Learn About Energy and Save Their Households Some  

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

Competition Helps Kids Learn About Energy and Save Their Households 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 Addthis Students can register now to save energy and win prizes with the Home Energy Challenge. Students can register now to save energy and win prizes with the Home Energy Challenge. Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy How can I participate? Visit HomeEnergyChallenge.org to register for the competition. Third through eighth grade students and teachers will be excited to hear about a competition starting up for next school year that challenges students to learn about energy, develop techniques for saving energy, and

429

"Table HC7.10 Home Appliances Usage Indicators by Household Income, 2005"  

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

0 Home Appliances Usage Indicators by Household Income, 2005" 0 Home Appliances Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ,,"2005 Household Income",,,,,"Below Poverty Line","Eligible for Federal Assistance1" ,"Housing Units (millions)" ,,"Less than $20,000","$20,000 to $39,999","$40,000 to $59,999","$60,000 to $79,999","$80,000 or More" "Home Appliances Usage Indicators" "Total",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Cooking Appliances" "Frequency of Hot Meals Cooked" "3 or More Times A Day",8.2,2.9,2.5,1.3,0.5,1,2.4,4.6 "2 Times A Day",24.6,6.5,7,4.3,3.2,3.6,4.8,10.3 "Once a Day",42.3,8.8,9.8,8.7,5.1,10,5,12.9

430

Could a Common Household Fungus Reduce Oil Imports? | Department of Energy  

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

a Common Household Fungus Reduce Oil Imports? a Common Household Fungus Reduce Oil Imports? Could a Common Household Fungus Reduce Oil Imports? June 21, 2011 - 11:37am Addthis A view of Aspergillus niger with the fungus’ DNA highlighted in green | Photo Courtesy of: PNNL. A view of Aspergillus niger with the fungus' DNA highlighted in green | Photo Courtesy of: PNNL. Ben Squires Analyst, Office of Energy Efficiency & Renewable Energy What does this mean for me? The Department's Pacific Northwest National Laboratory (PNNL) are working to harness the natural process that spoils fruits and vegetables as a way to make fuel and other petroleum substitutes from the parts of plants that we can't eat. The genetic bases of the behaviors and abilities of these two industrially relevant fungal strains will allow researchers to exploit

431

The causes of Japan's ‘lost decade’: The role of household consumption  

Science Journals Connector (OSTI)

In this paper, I analyze the causes of the prolonged slowdown of the Japanese economy in the 1990s and find that the stagnation of investment, especially private fixed investment, was the primary culprit. I then investigate the causes of the stagnation of household consumption during the 1990s and find that the stagnation of household disposable income, the decline in household wealth, and increased uncertainty about the future are among the contributing factors. Finally, I consider whether demand side factors or supply side factors were more important as causes of the prolonged slowdown of the Japanese economy in the 1990s and conclude that the former (especially misguided government policies) were probably more important.

Charles Yuji Horioka

2006-01-01T23:59:59.000Z

432

Examining the Variation of Household Vehicles Holding Behavior in the Chukyo Region in Japan  

Science Journals Connector (OSTI)

Abstract Japan began initial stage of motorization in 1960s. The motorization made life of human highly dependent on private cars. As a result, vehicle holding behavior in the household might have a change during this process. This study examines the variation of the household vehicles owning behavior in the Chukyo region in Japan. The vehicle type is classified into the light motor car and the ordinary motor one. Meanwhile, the impact of the ownership of trucks is not taken into consideration. The person trip survey data in 1971 and 2001 are used as the sample. A bivariate ordered probit model is proposed for analyzing the ownership of two types of private cars. Since the maximal likelihood estimation method was found to be low efficient, the Gibbs sampler algorithm is implemented in this study. The conclusions of this study are listed as follows. Firstly, age of the householder, numbers of workers and number of members (>= 25 years old) were significant factors with same effects both in 1971 and 2001. Secondly, gender of the householder, district, population density and density of railway stations changed their effects from 1971 to 2001. The households with female householder were unwilling to own the light motor car only in 1971.The residents living in Nagoya would not like to own the ordinary motor car in 2001. Population density and density of railway stations affected ownership of the light motor car only in 2001. Lastly, there was a substitution effect on ownership between the light motor car and the ordinary motor one only in 2001.

Jia Yang; Mimi Tian; Tomio Miwa; Takayuki Morikawa

2014-01-01T23:59:59.000Z

433

CA CAIOlf Mr. Andrew Wallo. III, NE-23  

Office of Legacy Management (LM)

kire 7900. 955 L*E,,fa,u PLUG S. W.. Washin@ on. D.C. 20024-2174, Tekphme: (202) 488-6000 kire 7900. 955 L*E,,fa,u PLUG S. W.. Washin@ on. D.C. 20024-2174, Tekphme: (202) 488-6000 7117-03.87.cdy.43 23 September 1987 CA CAIOlf Mr. Andrew Wallo. III, NE-23 Division of Facility & Site Decommissioning Projects U.S. Department of Energy Germantown, Maryland 20545 CT.05 FL .0-o/ lti.Ob id.Or Dear Mr. Wallo: In/. O-01 flA.05 ELIMINATION RECOMMENDATION -- COLLEGES AND UNIVERSITIES Mbj.o-03 I4 v.o+ The attached elimination recommendation was prepared in accordance ML.o= with your suggestion during our meeting on 22 September. The recommendation nO.O-02 includes 26 colleges and universities identified.in Enclosure 4 to Aerospace letter subject: Status of Actions - FUSRAP Site List, dated N0.63' 27 May 1987; three institutions (Tufts College, University of Virginia, kfC900

434

Community Redevelopment Case Study: Jekyll Island  

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

Community Redevelopment Community Redevelopment Case Study: Jekyll Island Jones Hooks, Executive Director Jekyll Island Authority April 12, 2012 Community & Neighborhood Development...  State and Local Programs  Stakeholders  Components  Agendas  Schedule  MONEY  Others... "Nothing Hard Is Ever Easy!" Island Visitation: Long steady decline since 1989 "We always go to Jekyll..." became "We used to go to Jekyll..." Loss of Georgia state association conventions Occupied Room Nights and Total JIA Amenity Revenue/Room Night: FY1988-2008 $- $5.00 $10.00 $15.00 $20.00 $25.00 $30.00 $35.00 $40.00 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 Revenue/Room Night - 50,000 100,000 150,000 200,000

435

Recovery Act State Memos Mariana Islands  

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

Florida Florida to play an important role in the new energy economy of the future. EXAMPLES OF NORTHERN MARIANA ISLANDS FORMULA GRANTS Program Award State Energy Program Weatherization Assistance Program Energy Efficiency Conservation Block Grants Energy Efficiency Appliance Rebate Program $18.7 million $0.8 million $9.6 million $0.1 million The Commonwealth of the Northern Mariana Islands has received $18.7 million in State Energy Program funds to invest in state- and territory-level energy efficiency and renewable energy priorities. The Commonwealth of the Northern Mariana Islands has received over $790,000 in Weatherization Assistance Program funds to scale-up existing weatherization efforts in the

436

Kauai Island Utility Cooperative | Open Energy Information  

Open Energy Info (EERE)

Island Utility Cooperative Island Utility Cooperative Jump to: navigation, search Name Kauai Island Utility Cooperative Place Hawaii Utility Id 10071 Utility Location Yes Ownership C NERC Location HICC Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png D Residential Service Residential General Light and Power Service Schedule G Commercial General Light and Power Service Schedule J Commercial Large Power Secondary Schedule P Industrial Large Power Service Schedule L Industrial

437

Recovery Act State Memos Virgin Islands  

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

Virgin Virgin Islands For questions about DOE's Recovery Act activities, please contact the DOE Recovery Act Clearinghouse: 1-888-DOE-RCVY (888-363-7289), Monday through Friday, 9 a.m. to 7 p.m. Eastern Time https://recoveryclearinghouse.energy.gov/contactUs.htm. All numbers and projects listed as of June 1, 2010 TABLE OF CONTENTS RECOVERY ACT SNAPSHOT................................................................................... 1 FUNDING ALLOCATION TABLE.............................................................................. 2 ENERGY EFFICIENCY ............................................................................................... 3 For total Recovery Act jobs numbers in the U.S. Virgin Islands go to www.recovery.gov

438

Cayman Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Cayman Islands: Energy Resources Cayman Islands: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","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":19.5,"lon":-80.66667,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

439

Rhode Island: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Rhode Island: Energy Resources Rhode Island: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","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":41.5800945,"lon":-71.4774291,"alt":0,"address":"Rhode

440

Marshall Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Marshall Islands: Energy Resources Marshall Islands: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","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":10,"lon":167,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "islander households ne" 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

Photovoltaic applications for remote-island needs  

SciTech Connect (OSTI)

Electric power supply options available to many of the central and south Pacific island governments are severely constrained by remoteness, limited infrastructures, a corrosive natural environment, and the high delivered costs of many conventional energy sources. Photovoltaic energy systems offer a currently available, practical, and cost-effective source of electricity for many stand-alone applications in remote areas of the Pacific. Photovoltaic system definitions and cost analyses are provided for selected applications in the Republic of Palau, the Federated States of Micronesia, the Republic of the Marshall Islands, and the Territory of American Samoa.

Schaller, D.A.

1983-01-01T23:59:59.000Z

442

New methanol plant for Kharg Island  

SciTech Connect (OSTI)

Iran`s National Petrochemical Co. (NPC; Teheran) plans to set up a world scale export-oriented methanol plant on Kharg Island in the Persian Gulf. It says discussions are being held with three Western groups - C. Itoh (Tokyo), H & G (London), and Uhde (Dortmund) - to supply the 660,000-m.t./year facility. The estimated $150-million project would be repaid through export of methanol within three to four years. NPC hopes to conclude talks this year. Strategically located, Kharg Island is described as a good location in peacetime. It already serves as an oil terminal. NPC has an LPG and sulfur complex there.

Alperowicz, N.

1992-04-08T23:59:59.000Z

443

Solomon Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Solomon Islands: Energy Resources Solomon Islands: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","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":-8,"lon":159,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

444

Using the NeWS window system in a Cray environment  

SciTech Connect (OSTI)

NeWS is structured as a single UNIX process, a network server that contains a PostScript interpreter. Client programs, which exist somewhere out on the network, talk to NeWS through byte streams. This paper describes the implementation of such a client interface on a Cray running the UNICOS operating system. With only a modest effort, it is possible to fit a simple PostScript interface to existing mainframe applications, which allows the user to graphically interact with the program from a remote workstation. Some typical applications, which have been structured as NeWS clients, have been described.

Phillips, R.L.; Forslund, D.W.

1987-06-01T23:59:59.000Z

445

Energy Office Grant Helps the Virgin Islands Environmental Resource Station  

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

Office Grant Helps the Virgin Islands Environmental Resource Office Grant Helps the Virgin Islands Environmental Resource Station Install Solar Panels, Improve Efficiency, and Cut Monthly Energy Use Nearly 30% (Fact Sheet), Energy Development in Island Nations, U.S. Virgin Islands (EDIN) Energy Office Grant Helps the Virgin Islands Environmental Resource Station Install Solar Panels, Improve Efficiency, and Cut Monthly Energy Use Nearly 30% (Fact Sheet), Energy Development in Island Nations, U.S. Virgin Islands (EDIN) This fact sheet highlights the energy challenges faced by the Virgin Islands Environmental Resource Station, the renewable energy and energy efficiency solutions implemented, the resulting energy efficiency savings, and other project benefits. 54376.pdf More Documents & Publications USVI Energy Road Map: Charting the Course to a Clean Energy Future

446

Rhode Island Recovery Act State Memo | Department of Energy  

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

Rhode Island Recovery Act State Memo Rhode Island Recovery Act State Memo Rhode Island Recovery Act State Memo Rhode Island has substantial natural resources, including wind and biomass. The American Recovery & Reinvestment Act (ARRA) is making a meaningful down payment on the nation's energy and environmental future. The Recovery Act investments in Rhode Island are supporting a broad range of clean energy projects, from weatherization to smart grid workforce training. Through these investments, Rhode Island's businesses, universities, non-profits, and local governments are creating quality jobs today and positioning Rhode Island to play an important role in the new energy economy of the future. Rhode Island Recovery Act State Memo More Documents & Publications Slide 1 Guam Recovery Act State Memo

447

Virgin Islands Recovery Act State Memo | Department of Energy  

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

Virgin Islands Recovery Act State Memo Virgin Islands Recovery Act State Memo Virgin Islands Recovery Act State Memo The American Recovery & Reinvestment Act( ARRA) is making a meaningful down payment on the nation's energy and environmental future. The Recovery Act investments in the U.S. Virgin Islands are supporting a broad range of clean energy projects from energy efficiency and the smart grid to solar power and biofuels. Through these investments, the U.S. Virgin Islands' businesses, universities, non-profits, and local governments are creating quality jobs today and positioning the U.S. Virgin Islands to play an important role in the new energy economy of the future. Virgin Islands Recovery Act State Memo More Documents & Publications Slide 1 MP_recovery_act_memo__updated.pdf Northern Mariana Islands

448

Rhode Island Renewable Energy Fund (RIREF) | Department of Energy  

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

Rhode Island Renewable Energy Fund (RIREF) Rhode Island Renewable Energy Fund (RIREF) Rhode Island Renewable Energy Fund (RIREF) < Back Eligibility Commercial Industrial Institutional Residential Utility Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Heating & Cooling Commercial Heating & Cooling Solar Heating Water Heating Wind Program Info State Rhode Island Program Type Public Benefits Fund Provider Rhode Island Economic Development Corporation Rhode Island's Public Utilities Restructuring Act of 1996 created the nation's first public benefits fund (PBF) for renewable energy and demand-side management (DSM). The Rhode Island Renewable Energy Fund's (RIREF) renewable-energy component is administered by the Rhode Island Economic Development Corporation (RIEDC), and the fund's demand-side

449

Constellation NewEnergy, Inc (Rhode Island) | Open Energy Information  

Open Energy Info (EERE)

Rhode Island) Jump to: navigation, search Name: Constellation NewEnergy, Inc Place: Rhode Island References: EIA Form EIA-861 Final Data File for 2010 - File220101 EIA Form 861...

450

Community Economic Development Business Program (Prince Edward Island, Canada)  

Broader source: Energy.gov [DOE]

The Community Economic Development Business (CEDB) program has been created as part of the Prince Edward Island Rural Action Plan to support local investment in innovative Prince Edward Island...

451

Islanded Grid Wind Power Conference | Department of Energy  

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

Islanded Grid Wind Power Conference Islanded Grid Wind Power Conference March 4, 2015 8:00AM AKST to March 6, 2015 5:00PM AKST Alaska Pacific University 4101 University Drive...

452

NREL: News Feature - NREL Helping Virgin Islands Cut Fuel Use  

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

- 450 kWh per month compared to 900 kWh. Moving Renewables onto the Grid Virgin Islands Energy Reduction Plan U.S. Virgin Islands Gov. John P. de Jongh, Jr., and other...

453

Alternative Fuels Data Center: Rhode Island Laws and Incentives  

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

to someone by E-mail to someone by E-mail Share Alternative Fuels Data Center: Rhode Island Laws and Incentives on Facebook Tweet about Alternative Fuels Data Center: Rhode Island Laws and Incentives on Twitter Bookmark Alternative Fuels Data Center: Rhode Island Laws and Incentives on Google Bookmark Alternative Fuels Data Center: Rhode Island Laws and Incentives on Delicious Rank Alternative Fuels Data Center: Rhode Island Laws and Incentives on Digg Find More places to share Alternative Fuels Data Center: Rhode Island Laws and Incentives on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Rhode Island Laws and Incentives Listed below are the summaries of all current Rhode Island laws, incentives, regulations, funding opportunities, and other initiatives

454

Long Term Dynamics of Inequalities between French Households concerning Automobile COLLET, Roger; BOUCQ, Elise; MADRE, Jean-Loup; HIVERT, Laurent.  

E-Print Network [OSTI]

Long Term Dynamics of Inequalities between French Households concerning Automobile COLLET, Roger TERM DYNAMICS OF INEQUALITIES BETWEEN FRENCH HOUSEHOLDS CONCERNING AUTOMOBILE Roger Collet, INRETS of automobile. As the curves representing car ownership (number of cars per adult) and car use (annual mileage

Paris-Sud XI, Université de

455

Abstract--Numerous studies have shown that households' consumption is an important part of the total energy consumed  

E-Print Network [OSTI]

appropriate strategies of giving households' effective feedback on their energy consumption. This study, Energy efficiency. I. INTRODUCTION HE energy consumption of households in buildings attracts a lot in the housing sector. Energy consumption in buildings accounts for 39% of Sweden's total final energy

Beigl, Michael

456

Patterns of stove usage after introduction of an advanced cookstove: the long-term application of household sensors  

Science Journals Connector (OSTI)

Household air pollution generated from solid fuel use for cooking is one of the leading risk factors for ill-health globally. ... However, household usage of these stoves and resulting changes in usage of traditional polluting stoves is not well characterized. ...

Ajay Pillarisetti; Mayur Vaswani; Darby Jack; Kalpana Balakrishnan; Michael N. Bates; Narendra K. Arora; Kirk R. Smith

2014-11-12T23:59:59.000Z

457

Effects on minority and low-income households of the EPA proposal to reduce leaded gasoline use  

SciTech Connect (OSTI)

To reduce the potentially harmful environmental effects of lead in the environment, the US Environmental Protection Agency (EPA) has proposed a reduction in the amount of lead used in leaded gasoline. This report examines the potential impacts of such action on minority and low-income households in the US. The benefits of the EPA's proposal would presumably accrue primarily to households that contain small children and that are located in the central cities of metropolitan areas. This is because small children (under age seven) are particularly susceptible to the effects of lead and also because the automobile traffic density in central cities is higher than in any other area. Potential costs are examined in terms of households that own vehicles requiring leaded gasoline. Costs could accrue either because of higher gasoline prices due to reduced lead content or because of higher vehicle repair costs for engines that must use leaded gasoline to prevent excessive wear. Because of their location and number, minority and low-income households with small children would benefit more than the average US household. No costs would be incurred by the relatively large segment of minority and low-income households that own no vehicles. However, the Hispanic and other minority (except black) and low-income households that do own vehicles have a greater than average share of vehicles that require leaded gasoline; costs to these households because of the EPA's proposed action would be comparatively high.

Rose, K.; LaBelle, S.; Winter, R.; Klein, Y.

1985-04-01T23:59:59.000Z

458

University of Rhode Island inAdvance October 26, 2006  

E-Print Network [OSTI]

at the Rhode Island Community Food Bank. On December 3, the Southwest Florida Gators will get together

Rhode Island, University of

459

Tsunami response at Wake Island: azimuthal mode analysis  

E-Print Network [OSTI]

Committee: Dr. Andrew C. Vastano This is sn extension of previous studies (numerical and hydraulic) of the relative amplitude response at Wake Island associated with plane progressive incident waves of stipulated time history, whose spectrum includes... of the island, Van Dorn cautioned that the influence of Wake Island topography on the wave spectrum really remains unknown. In a later study of the same data, by Royer (1969), it was concluded that the island topography may modify waves of certain periods...

Creswell, Wiltie Austin

2012-06-07T23:59:59.000Z

460

The federal energy policy: An example of its potential impact on energy consumption and expenditures in minority and poor households  

SciTech Connect (OSTI)

This report presents an analysis of the relative impacts of the National Energy Strategy on majority and minority households and on nonpoor and poor households. (Minority households are defined as those headed by black or Hispanic persons; poor households are defined as those having combined household income less than or equal to 125% of the Office of Management and Budget`s poverty-income threshold.) Energy consumption and expenditures, and projected energy expenditures as a share of income, for the period 1987 to 2009 are reported. Projected consumptions of electricity and nonelectric energy over this period are also reported for each group. An analysis of how these projected values are affected under different housing growth scenarios is performed. The analysis in this report presents a preliminary set of projections generated under a set of simplifying assumptions. Future analysis will rigorously assess the sensitivity of the projected values to various changes in a number of these assumptions.

Poyer, D.A.

1991-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

Bridge-Node Selection and Loss Recovery in Island Multicast  

E-Print Network [OSTI]

Bridge-Node Selection and Loss Recovery in Island Multicast W.-P. Ken Yiu K.-F. Simon Wong S.-H in their bridge-node selection. H multicast-capable domains (the so-called islands) while overlay connections are used to bridge islands

Chan, Shueng-Han Gary

462

Azania XLII 2007 East Africa, the Comoros Islands and  

E-Print Network [OSTI]

Azania XLII 2007 East Africa, the Comoros Islands and Madagascar before the sixteenth century interior and on outlying islands (Comoros, Madagascar) or were composed of lower classes in urban expansion and private enterprise. #12;16 East Africa, the Comoros Islands and Madagascar before

Paris-Sud XI, Université de

463

current encounters a large island (main islands of Palau) basin-scale currents are driven by winds  

E-Print Network [OSTI]

Summary · current encounters a large island (main islands of Palau) · basin-scale currents are driven by winds · strong boundary currents like Gulf Stream · Palau has a boundary current · current

Johnston, Shaun

464

Household Response To Dynamic Pricing Of Electricity: A Survey Of The  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Focus Area: Crosscutting Topics: Market Analysis Website: www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentatio Equivalent URI: cleanenergysolutions.org/content/household-response-dynamic-pricing-el Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: "Mandates/Targets,Cost Recovery/Allocation,Enabling Legislation" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

465

Environmental and Resource Economics Household Energy Demand in Urban China: Accounting for regional prices and rapid  

E-Print Network [OSTI]

growth, China's energy consumption is rising at one of the fastest rates in the world, almost 8% per year over the period 2000-2010. Residential energy consumption has grown even faster than the national total . Although household energy consumption per capita is still low compared to the developed countries

466

Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data  

Science Journals Connector (OSTI)

Abstract This paper presents a high-resolution bottom-up model of electricity use in an average household based on fit to probability distributions of a comprehensive high-resolution household electricity use data set for detached houses in Sweden. The distributions used in this paper are the Weibull distribution and the Log-Normal distribution. These fitted distributions are analyzed in terms of relative variation estimates of electricity use and standard deviation. It is concluded that the distributions have a reasonable overall goodness of fit both in terms of electricity use and standard deviation. A Kolmogorov–Smirnov test of goodness of fit is also provided. In addition to this, the model is extended to multiple households via convolution of individual electricity use profiles. With the use of the central limit theorem this is analytically extended to the general case of a large number of households. Finally a brief comparison with other models of probability distributions is made along with a discussion regarding the model and its applicability.

Joakim Munkhammar; Jesper Rydén; Joakim Widén

2014-01-01T23:59:59.000Z

467

Reforming Household Energy Markets: Some Welfare Effects in the United Catherine Waddams Price  

E-Print Network [OSTI]

Reforming Household Energy Markets: Some Welfare Effects in the United Kingdom by Catherine Waddams remain vulnerable. The implications of these findings for the future of energy markets both in the UK This paper summarises some early effects of deregulating the UK energy sector, focusing on the effects

Feigon, Brooke

468

Increased Levels of Markers of Microbial Exposure in Homes with Indoor Storage of Organic Household Waste  

Science Journals Connector (OSTI)

...Levels of Markers of Microbial Exposure in Homes with Indoor Storage of Organic Household...might increase microbial exposure in the home environment. In this study we evaluated...House dust samples were collected in 99 homes in The Netherlands selected on the basis...

Inge M. Wouters; Jeroen Douwes; Gert Doekes; Peter S. Thorne; Bert Brunekreef; Dick J. J. Heederik

2000-02-01T23:59:59.000Z

469

Table 5.2. U.S. per Household Vehicle-Miles Traveled, Vehicle...  

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

Years or More ... 13.6 1.8 17.1 907 1,044 4.6 Race of Householder White ... 73.3 1.9 21.7 1,099 1,267 1.8 Black...

470

Table 5.12. U.S. Average Vehicle-Miles Traveled by Household...  

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

... 30.7 Q 26.3 37.2 Q Q Q Q Q Q Q 20.7 Race of Householder White ... 26.0 23.2 25.2 32.6 19.3 16.4 13.3...

471

Home ownership as wealth over the life cycle European Household Motivation for Residential Assets  

E-Print Network [OSTI]

Home ownership as wealth over the life cycle European Household Motivation for Residential Assets Current situation and future prospects INTRODUCTION Encouraging Home Ownership Most countries encourage a country's wealth and the proportion of home owners. 44 Homeownership rates in Western Europe (Source: EMF

Birmingham, University of

472

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

Science Journals Connector (OSTI)

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

Edgar G. Hertwich; Charlotte Roux

2011-08-30T23:59:59.000Z

473

Using Circuit-Level Power Measurements in Household Energy Management Systems  

E-Print Network [OSTI]

Using Circuit-Level Power Measurements in Household Energy Management Systems Alan Marchiori and Qi to accurately measure en- ergy usage in the home. Measuring energy usage is not dif- ficult, however we must decide what to measure. Whole- home energy measurement is cheap and easy to setup be- cause only one

Han, Qi "Chee"

474

Energy Policy 30 (2002) 815826 Evaluating the health benefits of transitions in household energy  

E-Print Network [OSTI]

as the primary source of domestic energy, has put preventive measures to reduce exposure to indoor air pollutionEnergy Policy 30 (2002) 815­826 Evaluating the health benefits of transitions in household energy for the Future, 1616 P Street NW, Washington, DC 20036, USA b Epidemiology and Burden of Disease Unit, Global

Kammen, Daniel M.

475

Finding the creatures of habit; Clustering households based on their flexibility in using electricity  

E-Print Network [OSTI]

electricity Ian Dent, Uwe Aickelin and Tom Rodden School of Computer Science University of Nottingham, UK, AB15 8QH tony.craig@hutton.ac.uk ABSTRACT Changes in the UK electricity market, particularly to change households' electricity usage patterns for the benefit of the overall sys- tem. Users show

Aickelin, Uwe

476

Stranded Vehicles: How Gasoline Taxes Change the Value of Households' Vehicle Assets  

E-Print Network [OSTI]

Stranded Vehicles: How Gasoline Taxes Change the Value of Households' Vehicle Assets Meghan Busse pollution caused by the burning of fossil fuels. Argu- ments against energy taxes, and gasoline taxes more incidence of the tax. We study the effect of a gasoline tax using changes in vehicle values. We construct

Rothman, Daniel

477

Fact #616: March 29, 2010 Household Vehicle-Miles of Travel by Trip Purpose  

Broader source: Energy.gov [DOE]

In 2009, getting to and from work accounted for about 27% of household vehicle-miles of travel (VMT). Work-related business was 8.4% of VMT in 2001, but declined to 6.7% in 2009, possibly due to...

478

Household use of paint and petroleum solvents and the risk of childhood leukemia  

Science Journals Connector (OSTI)

...African American, or non-Hispanic White according to their physician...Screening identified 1,253 Hispanic cases of whom 1,119 (89...random telephone numbers. A household enumeration was obtained for...controls, identified 1,668 Hispanics of whom 1,462 (88) completed...

Ghislaine Scelo; Catherine Metayer; Steve Selvin; Martyn Smith; Melinda Aldrich; Joseph Wiemels; Luoping Zhang; and Patricia Buffler

2008-05-01T23:59:59.000Z

479

Table HC1-3a. Housing Unit Characteristics by Household Income,  

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

3a. Housing Unit Characteristics by Household Income, 3a. Housing Unit Characteristics by Household Income, Million U.S. Households, 2001 Housing Unit 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 Census Region and Division Northeast ...................................... 20.3 3.3 4.2 4.9 7.8 2.6 6.8 6.4 New England .............................. 5.4 0.8 1.1 1.3 2.3 0.6 1.6 9.9 Middle Atlantic ............................ 14.8 2.6 3.2 3.5 5.6 2.0 5.2 7.7 Midwest ......................................... 24.5 3.7 5.2 6.8 8.9 2.8 7.4 5.8 East North Central ......................

480

Energy Transition Initiative: Islands Playbook (Book)  

SciTech Connect (OSTI)

The Island Energy Playbook (the Playbook) provides an action-oriented guide to successfully initiating, planning, and completing a transition to an energy system that primarily relies on local resources to eliminate a dependence on one or two imported fuels. It is intended to serve as a readily available framework that any community can adapt to organize its own energy transition effort.

Not Available

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "islander households ne" 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

EcoCAR: The NeXt Challenge | Department of Energy  

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

EcoCAR: The NeXt Challenge EcoCAR: The NeXt Challenge EcoCAR: The NeXt Challenge May 18, 2010 - 7:30am Addthis While most college students' experience with vehicles goes no further than the beater they picked up for a few thousand dollars, students participating in the EcoCAR: The NeXT Challenge competition get to experience the cutting-edge of driving technology. The competition, which was established by the U.S. Department of Energy and General Motors, is a three year advanced vehicle engineering contest. Yesterday, May 17, was the first day of their Year 2 judging sessions. In EcoCAR, students from 16 universities across North America are competing against each other to build the most environmentally sustainable and practical vehicle. This year's teams have adopted a number of advanced

482

A Case Study For Geothermal Exploration In The Ne German Basin- Integrated  

Open Energy Info (EERE)

Geothermal Exploration In The Ne German Basin- Integrated Geothermal Exploration In The Ne German Basin- Integrated Interpretation Of Seismic Tomography, Litho-Stratigraphy, Salt Tectonics, And Thermal Structure Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Proceedings: A Case Study For Geothermal Exploration In The Ne German Basin- Integrated Interpretation Of Seismic Tomography, Litho-Stratigraphy, Salt Tectonics, And Thermal Structure Details Activities (0) Areas (0) Regions (0) Abstract: Unavailable Author(s): K. Bauer, I. Moeck, B. Norden, A. Schulze, M. H. Weber Published: Publisher Unknown, 2009 Document Number: Unavailable DOI: Unavailable Retrieved from "http://en.openei.org/w/index.php?title=A_Case_Study_For_Geothermal_Exploration_In_The_Ne_German_Basin-_Integrated_Interpretation_Of_Seismic_Tomography,_Litho-Stratigraphy,_Salt_Tectonics,_And_Thermal_Structure&oldid=390106"

483

Fermilab | Newsroom | Press Releases | June 24, 2014: MicroBooNE...  

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

Res | Hi Res The massive MicroBooNE neutrino detector is gently lowered into the main cavern of the Liquid-Argon Test Facility at Fermilab on Monday, June 23. The banner on the...

484

He–Ne and cw CO2 laser long-path systems for gas detection  

Science Journals Connector (OSTI)

This paper describes the design and testing of a laboratory prototype dual He–Ne laser system for the detection of methane leaks from underground pipelines and solid-waste landfill...

Grant, William B

1986-01-01T23:59:59.000Z

485

REPLY TO ATTN OF: NE-24 L SUBJECT: Authorization to Conduct Remedial...  

Office of Legacy Management (LM)

|1 e0i78 DATE: OCT 9 1984 REPLY TO ATTN OF: NE-24 L SUBJECT: Authorization to Conduct Remedial Action at Vicinity Properties In Lodi, New Jersey TO: J. LaGrone, Manager...

486

Search for Muon Neutrino and Antineutrino Disappearance in MiniBooNE  

E-Print Network [OSTI]

The MiniBooNE Collaboration reports a search for ?[subscript ?] and ?? [subscript ?] disappearance in the ?m[superscript 2] region of 0.5–40 ??eV[superscript 2]. These measurements are important for constraining models ...

McGary, Van Thanh

487

MiniBooNE H. A. Tanaka Princeton University Neutrino Factory...  

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

H. A. Tanaka Princeton University Neutrino Factory 2004 Osaka, Japan The MiniBooNE Collaboration University of Alabama: Y.Liu, I.Stancu Bucknell University: S.Koutsoliotas...

488

Thomas-Ehrman effect in a three-body model: $^{16}$Ne case  

E-Print Network [OSTI]

The dynamic mechanism of the Thomas-Ehrman shift is studied in three-cluster systems by example of $^{16}$Ne and $^{16}$C isobaric mirror partners. We predict configuration mixings for $0^+$ and $2^+$ states in $^{16}$Ne and $^{16}$C. Large isospin symmetry breaking on the level of wave function component weights is demonstrated for these states and discussed as three-body mechanism of Thomas-Ehrman shift. It is shown that the description of the Coulomb displacement energies requires a consistency among three parameters: the $^{16}$Ne decay energy $E_T$, the $^{15}$F ground state energy $E_r$, and the configuration mixing parameters for the $^{16}$Ne/$^{16}$C $0^+$ and $2^+$ states. Basing on this analysis we infer the $^{15}$F $1/2^+$ ground state energy to be $E_r=1.39-1.42$ MeV.

Grigorenko, L V; Zhukov, M V

2014-01-01T23:59:59.000Z

489

Thomas-Ehrman effect in a three-body model: $^{16}$Ne case  

E-Print Network [OSTI]

The dynamic mechanism of the Thomas-Ehrman shift is studied in three-cluster systems by example of $^{16}$Ne and $^{16}$C isobaric mirror partners. We predict configuration mixings for $0^+$ and $2^+$ states in $^{16}$Ne and $^{16}$C. Large isospin symmetry breaking on the level of wave function component weights is demonstrated for these states and discussed as three-body mechanism of Thomas-Ehrman shift. It is shown that the description of the Coulomb displacement energies requires a consistency among three parameters: the $^{16}$Ne decay energy $E_T$, the $^{15}$F ground state energy $E_r$, and the configuration mixing parameters for the $^{16}$Ne/$^{16}$C $0^+$ and $2^+$ states. Basing on this analysis we infer the $^{15}$F $1/2^+$ ground state energy to be $E_r=1.39-1.42$ MeV.

L. V. Grigorenko; T. A. Golubkova; M. V. Zhukov

2014-11-07T23:59:59.000Z

490

Dirac Phenomenological Analyses of Unpolarized Proton Inelastic Scattering from $^{22}$Ne  

E-Print Network [OSTI]

Unpolarized 800 MeV proton inelastic scatterings from an s-d shell nucleus $^{22}$Ne are analyzed using phenomenological optical potentials in the Dirac coupled channel formalism. The first-order rotational collective model is used to obtain the transition optical potentials for the low lying excited collective states that belong to the ground state rotational band of the nucleus. The optical potential parameters of Woods-Saxon shape and the deformation parameters of the excited states are varied phenomenologically using the sequential iteration method to reproduce the experimental differential cross section data. The effective central and spin-orbit optical potentials are obtained by reducing the Dirac equations to the Schr\\"odinger-like second-order differential equations and the surface-peaked phenomena are observed at the real effective central potentials when the scattering from $^{22}$Ne is considered. The obtained deformation parameters of the excited states are compared with those of the nonrelativistic calculations and another s-d shell nucleus $^{20}$Ne. The deformation parameters for the $2^+$ and the $4^+$ states of the ground state rotational band at the nucleus $^{22}$Ne are found to be smaller than those of $^{20}$Ne, indicating that the couplings of those states to the ground state are weaker at the nucleus $^{22}$Ne compared to those at the nucleus $^{20}$Ne. The multistep channel coupling effect is confirmed to be important for the $4^+$ state excitation of the ground state rotational band at the proton inelastic scattering from the s-d shell nucleus $^{22}$Ne.

Moon-Won Kim; Sugie Shim

2015-01-04T23:59:59.000Z

491

N.E. Leonard U. Pisa 18-20 April 2007Slide 1 Cooperative Control  

E-Print Network [OSTI]

1 N.E. Leonard ­ U. Pisa ­ 18-20 April 2007Slide 1 Cooperative Control and Mobile Sensor Networks.princeton.edu/~naomi N.E. Leonard ­ U. Pisa ­ 18-20 April 2007Slide 2 Key References [1] Leonard, Paley, Lekien. Pisa ­ 18-20 April 2007Slide 3 5 Scripps Spray Gliders 10 WHOI Slocum Gliders AOSN-II Glider Plan N

Leonard, Naomi

492

Emission of F23 and Ne24 in cluster radioactivity of Pa231  

Science Journals Connector (OSTI)

Using a track-recording phosphate glass detector with a standard deviation ?Z=0.23 charge unit, we collected ?2100 tracks of energetic clusters emitted from Pa231. Of these, 1348 survived cuts on energy, angle of incidence to the detectors, and ?2. All but one of them are consistent with Ne24, and our measured branching ratio, B(Ne/?)=(13.4±1.7)×10-12, for an alpha-decay half-life for Pa231 of 3.28×104 yr. This value of B is a factor of 2.2 greater than was determined by Tretyakova et al., who observed 252 Ne decays. We identify one event as F23, the nucleus predicted by cluster emission models to have the second highest branching ratio for emission from Pa231. This corresponds to a branching ratio B(Ne/F)=1347-940+6440, the 1? limits being governed by inverse Poisson statistics. Published models predict lower values of B(Ne/F), ranging from 3 to 400. Our event, if its 4? deviation from Ne is regarded as sufficient evidence for F, would be the first example of emission of an odd-Z cluster in spontaneous cluster radioactivity.

P. B. Price; R. Bonetti; A. Guglielmetti; C. Chiesa; R. Matheoud; C. Migliorino; K. J. Moody

1992-11-01T23:59:59.000Z

493

N. Mariana Islands - Renewables Portfolio Standard | Department of Energy  

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

N. Mariana Islands - Renewables Portfolio Standard N. Mariana Islands - Renewables Portfolio Standard N. Mariana Islands - Renewables Portfolio Standard < Back Eligibility Utility Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Heating & Cooling Commercial Heating & Cooling Heating Water Heating Wind Program Info Program Type Renewables Portfolio Standard The Commonwealth of the Northern Mariana Islands enacted its Renewables Portfolio Standard in September 2007, in which a certain percentage of its net electricity sales must come from renewable energy. Under the law, the Commonwealth Utilities Corporation (the Islands' only and semi-autonomous public utility provider) must meet the following benchmarks: * 10% of net electricity sales by December 31, 2008

494

Alternative Fuels Data Center: Rhode Island Laws and Incentives for  

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

Biodiesel to someone by E-mail Biodiesel to someone by E-mail Share Alternative Fuels Data Center: Rhode Island Laws and Incentives for Biodiesel on Facebook Tweet about Alternative Fuels Data Center: Rhode Island Laws and Incentives for Biodiesel on Twitter Bookmark Alternative Fuels Data Center: Rhode Island Laws and Incentives for Biodiesel on Google Bookmark Alternative Fuels Data Center: Rhode Island Laws and Incentives for Biodiesel on Delicious Rank Alternative Fuels Data Center: Rhode Island Laws and Incentives for Biodiesel on Digg Find More places to share Alternative Fuels Data Center: Rhode Island Laws and Incentives for Biodiesel on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Rhode Island Laws and Incentives for Biodiesel

495

Northern Mariana Islands - Search - U.S. Energy Information Administration  

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

Northern Mariana Islands Northern Mariana Islands Profile Northern Mariana Islands Northern Mariana Islands Profile Territory Profile and Energy Estimates Change State/Territory Choose a U.S. State or Territory United States Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming U.S. Territories American Samoa Guam Northern Mariana Islands Puerto Rico US Virgin Islands Overview Data State Profiles Economy Reserves & Supply Imports & Exports

496

Asian American Pacific Islander Heritage Month | Department of Energy  

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

Asian American Pacific Islander Heritage Month Asian American Pacific Islander Heritage Month Asian American Pacific Islander Heritage Month May 1, 2013 11:45AM EDT to May 31, 2013 5:45PM EDT nationwide Generations of Asian Americans and Pacific Islanders (AAPIs) have helped make America what it is today. Their histories recall bitter hardships and proud accomplishments -- from the laborers who connected our coasts one-and-a-half centuries ago, to the patriots who fought overseas while their families were interned at home, from those who endured the harsh conditions of Angel Island, to the innovators and entrepreneurs who are driving our Nation's economic growth in Silicon Valley and beyond. Asian American and Pacific Islander Heritage Month offers us an opportunity to celebrate the vast contributions Asian Americans and Pacific Islanders have

497

Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York (Fact Sheet), NREL (National Renewable Energy Laboratory)  

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

Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York Distributed Wind Case Study: Cross Island Farms, Wellesley Island, New York www.nrel.gov Baker and Belding installed a 10-kW Bergey Excel wind turbine in August 2011. Photo from Cross Island Farms, NREL/PIX 19923 Funding Summary * Total cost of wind turbine, including first developer: $82,000 * Total cost of wind turbine, excluding first developer: $73,000 * Total cost of solar: $40,000 * Propane generator: $8,000; including equipment, installation, and propane: $13,000 * USDA REAP grant: $20,506 (~25% of

498

Monomoscoy Island, Massachusetts: Energy Resources | Open Energy  

Open Energy Info (EERE)

Monomoscoy Island, Massachusetts: Energy Resources Monomoscoy Island, Massachusetts: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.5698322°, -70.505028° 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":41.5698322,"lon":-70.505028,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

499

Long Island Power Authority | Open Energy Information  

Open Energy Info (EERE)

Long Island Power Authority Long Island Power Authority Address 333 Earle Ovington Blvd Place Uniondale, New York Zip 11553 Sector Services Product Green Power Marketer Website www.lipower.org/ Coordinates 40.720549°, -73.593524° 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":40.720549,"lon":-73.593524,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

500

Cook Islands: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Cook Islands: Energy Resources Cook Islands: Energy Resources Jump to: navigation, search Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"390px","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":-22.26876,"lon":-158.20312,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}