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Note: This page contains sample records for the topic "household electricity usage" from the National Library of EnergyBeta (NLEBeta).
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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

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

2

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

3

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

4

"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"...

5

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...

6

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

7

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

8

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...

9

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

10

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...

11

Electrical Usage Characterization of Semiconductor Processing Tools  

E-Print Network [OSTI]

ELECTRICAL USAGE CHARACTERIZATION OF SEMICONDUCTOR PROCESSING TOOLS Scott R. Hinson Associate Engineer Radian Electronic Systems 15705 Long Vista Drive Austin, TX 78751 Abstract This paper presents the basic concepts in performing... be completed using as much detail as possible. The most often cited reason for aUditing process tools is the large discrepancy between the facilities requirements listed on the tool nameplate and the actual measured usage. I have measured systems...

Hinson, S. R.

12

"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

13

"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

14

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

15

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

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

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

16

Identifying Consumer Groups with Satisfactory Characteristics for Electric Mobility Usage  

Science Journals Connector (OSTI)

Who will use an electric car? This question will be addressed by identifying ... that are compatible with a future usage of electric cars. To answer this question a survey in...

Dominik Santner; Dirk Fornahl

2014-01-01T23:59:59.000Z

17

Table HC6.7 Air-Conditioning Usage Indicators by Number of Household Members, 2005  

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

7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 7 Air-Conditioning Usage Indicators by Number of Household Members, 2005 Total........................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Do Not Have Cooling Equipment.......................... 17.8 5.4 5.3 2.7 2.5 2.0 Have Cooling Equipment...................................... 93.3 24.6 29.6 15.7 13.4 10.0 Use Cooling Equipment....................................... 91.4 24.0 29.1 15.5 13.2 9.7 Have Equipment But Do Not Use it...................... 1.9 0.6 0.5 Q 0.2 0.4 Type of Air-Conditioning Equipment 1, 2 Central System................................................... 65.9 15.3 22.6 10.7 9.9 7.3 Without a Heat Pump....................................... 53.5 12.5 17.9 8.7 8.2 6.3 With a Heat Pump............................................ 12.3

18

Table HC6.12 Home Electronics Usage Indicators by Number of Household Members, 2005  

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

2 Home Electronics Usage Indicators by Number of Household Members, 2005 2 Home Electronics Usage Indicators by Number of Household Members, 2005 Total................................................................................ 111.1 30.0 34.8 18.4 15.9 12.0 Personal Computers Do Not Use a Personal Computer............................. 35.5 16.3 9.4 4.0 2.7 3.2 Use a Personal Computer.......................................... 75.6 13.8 25.4 14.4 13.2 8.8 Most-Used Personal Computer Type of PC Desk-top Model..................................................... 58.6 10.0 20.0 11.2 10.1 7.3 Laptop Model........................................................ 16.9 3.7 5.4 3.2 3.1 1.5 Hours Turned on Per Week Less than 2 Hours................................................. 13.6 4.0 4.7 1.7 1.8 1.4 2 to 15 Hours........................................................

19

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

20

RECS Electricity Usage Form_v2 (25418 - Activated, Traditional...  

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

electricity usage for this service address between September 2008 and April 2010. Billing Period Enter the End Date for each billing period MMDDYY Enter the Amount used in kWh...

Note: This page contains sample records for the topic "household electricity usage" 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

Learning Policies For Battery Usage Optimization in Electric Vehicles  

E-Print Network [OSTI]

algorithmic chal- lenge. 1 Introduction Electric vehicles, partially or fully powered by batteries, are oneLearning Policies For Battery Usage Optimization in Electric Vehicles Stefano Ermon, Yexiang Xue for the widespread adoption of electric vehicles. Multi-battery systems that combine a standard battery

Bejerano, Gill

22

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

23

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

24

HeatProbe: A Thermal-based Power Meter for Accounting Disaggregated Electricity Usage  

E-Print Network [OSTI]

on promoting energy consumption awareness [2, 3, 4]. Since utility bills aggregate electricity usage, it is diffi- cult to determine disaggregated energy consumption. If individuals can be made aware}@citi.sinica.edu.tw ABSTRACT To promote energy-saving behavior, disaggregating elec- tricity usage is critical for increasing

Ouhyoung, Ming

25

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

26

Capturing the Usage of the German Car Fleet for a One Year Period to Evaluate the Suitability of Battery Electric Vehicles – A Model based Approach  

Science Journals Connector (OSTI)

Abstract The low driving range of battery electric vehicles (BEV) is often considered as relevant reason for the low BEV sales. In order to verify this assumption, the usage of conventional cars in Germany needs to be analyzed. These analyses may help to make more reliable and realistic statements to what extent German cars could be replaced by \\{BEVs\\} without restrictions for their users. Most travel surveys do only consider a single day or a short period of time in the analysis. Longer time periods should be taken into consideration when analyzing the travel data since the daily car usage is not identical every day. Since there are no representative and detailed car usage surveys over longer periods available a hybrid car usage model was developed to close that gap. This model is mainly based on three mobility surveys: the German Mobility Panel (MOP), the car mileage and fuel consumption survey, and the long distance travel survey INVERMO. We show that 13% of the modeled German private car fleet never exceeds 100 km per day during a full year and could be replaced by \\{BEVs\\} without any usage restrictions for their car owners. Another 16% of the modeled private car fleet is driven more than 100 km on 1-4 days during a full year and can be substituted with slight adjustments. These cars are often second cars of a household and used less intensively (6,600 km/year resp. 7600 km/year) than cars not suited for BEV substitution (14,800 km/year). Households that could replace their cars tend to have a lower disposable income. The crux of the matter, however, is that substitution of conventional cars is often not feasible since the mobility budget of BEV suited households tends to be too low or does not make economic sense due to the low annual mileage.

Christine Weiss; Bastian Chlond; Michael Heilig; Peter Vortisch

2014-01-01T23:59:59.000Z

27

Does environmental concern change the tragedy of the commons? Factors affecting energy saving behaviors and electricity usage  

Science Journals Connector (OSTI)

Abstract Electricity consumption produces private goods, such as heat for homes, but fossil fuel consumption impacts the public goods of clean air and water. While self interests can increase usage, social interests, such as global climate change, can impact an individual's attitude toward energy consumption. This paper examines the tragedy of the commons using household data, and compares the impact of self and social interests in predicting electricity consumption. Using both stated and observed behavioral data, the results show that self interests have a greater impact on energy saving behaviors and electricity use. We extend the analysis to control for an individual's environmental concern and perceived behavioral impact, finding similar results, and supporting the notion that the tragedy of the commons occurs regardless of a person's perception or environmental concern. These findings may explain why pro-environmental attitudes do not necessarily lead to pro-environmental behaviors, and it contributes to our understanding of the motivating factors for energy savings and electricity use by examining both stated and observed behaviors. Policies aimed at electricity reduction may have a greater impact if they focus on private interests, such as pricing, rebates, subsidies, and taxes, rather than social interests alone.

Adrienne M. Ohler; Sherrilyn M. Billger

2014-01-01T23:59:59.000Z

28

Voluntary electricity conservation of households after the Great East Japan Earthquake: A stated preference analysis  

Science Journals Connector (OSTI)

Abstract This paper examines the voluntary electricity-saving awareness of households after the Great East Japan Earthquake and the subsequent accident at the Fukushima nuclear power station. We conduct a conjoint analysis of consumer stated preferences for the settings of air conditioners, refrigerators, and the standby power of electrical appliances, based on a web questionnaire survey administered in the areas supplied by the Tokyo Electric Power Company (TEPCO) and Kansai Electric Power Company (KEPCO). The main findings of this paper are as follows. First, we observe awareness of voluntary electricity conservation among the households in both the TEPCO and KEPCO areas after the disasters. Second, awareness of voluntary power saving is higher in the TEPCO area, which has been directly affected by the electric power shortages, in comparison with the KEPCO area, where there was no such direct impact. Third, if power prices are to be further raised, the consumer responses to the price changes would be small in both areas. Furthermore, we show that the potential voluntary reduction in electric power consumption of a household in the TEPCO area is 26% more than that in the KEPCO area during the summer peak periods.

Makoto Tanaka; Takanori Ida

2013-01-01T23:59:59.000Z

29

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.

30

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

31

Household electricity consumption and CO2 emissions in the Netherlands: A model-based analysis  

Science Journals Connector (OSTI)

Abstract Twenty percent of the total energy consumption in the Netherlands comes from household electricity consumption. This comes from household electric appliances whose number has grown in recent years. The paper explores the effect of smart meter introduction, appliance efficiency and consumer behaviour on reducing electricity consumption in the Netherlands. It does so by combining two perspectives: a sociotechnical approach and a bottom up simulation approach. The range of scenarios explored through simulation in the paper provides an understanding of the interplay between efficiency, smart meter diffusion and consumer behaviour. The results show their effect on electricity consumption and suggest that further effort is required to control and reduce it. Insights from the paper suggest that future studies should disaggregate with respect to a number of factors.

George Papachristos

2015-01-01T23:59:59.000Z

32

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

E-Print Network [OSTI]

Gromer, C. New age of the electric car. Popular Mechanics.VEHICLES strongly favor electric cars, but on the other,electric vehicles, if an electric car was available to buy

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

33

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]

Gromer, C Newage of the electric car. Popular Mechanics.VEHICLES strongly favor electric cars, but on the other,electric vehicles, if an electric car wasavailable to buy

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

34

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

E-Print Network [OSTI]

16. Regional electric vehicles: rebate. high performanceCommunity electric vehicles: lower rebate. priced electric,luxury) * S m a l l Electric Vehicle T a x Rebate Subtract $

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

35

Electricity Production from Anaerobic Digestion of Household Organic Waste in Ontario: Techno-Economic and GHG Emission Analyses  

Science Journals Connector (OSTI)

Electricity Production from Anaerobic Digestion of Household Organic Waste in Ontario: Techno-Economic and GHG Emission Analyses ... The life cycle greenhouse gas (GHG) emissions and economics of electricity generation through anaerobic digestion (AD) of household source-separated organic waste (HSSOW) are investigated within the FiT program. ... AD can potentially provide considerable GHG emission reductions (up to 1 t CO2eq/t HSSOW) at relatively low to moderate cost (-$35 to 160/t CO2eq) by displacing fossil electricity and preventing the emission of landfill gas. ...

David Sanscartier; Heather L. MacLean; Bradley Saville

2011-12-14T23:59:59.000Z

36

Guidelines for Energy Cost Savings Resulting from Tracking and Monitoring Electrical nad Natural Gas Usage, Cost, and Rates  

E-Print Network [OSTI]

This paper discusses how improved energy information in schools and hospitals from tracking and monitoring electrical and natural gas usage, cost, and optional rate structures, can reduce energy costs. Recommendations, methods, and guidelines...

McClure, J. D.; Estes, M. C.; Estes, J. M.

1989-01-01T23:59:59.000Z

37

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]

electric, $2000 (small vehicle) Zero Emissions Vehicle tax rebate.electric, 60 or miles of range, $4000 Zero Emissions Vehicle tax rebate.tax rebate on LEV). Page12, Hybrid electric vehicles: Both

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

38

A functional analysis of electrical load curve modelling for some households specific electricity end-uses  

E-Print Network [OSTI]

domestic end-uses, the development of plug-in hybrid and electric vehicles, the increase of heat pumps heating systems such as heat pumps in new building or which will replace old installed fossil fuels based systems; · integration of new end-uses such as Plug-in Electric Vehicles and an always growing number

Paris-Sud XI, Université de

39

EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day?  

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

EREV and BEV Economic Viability vs. EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day? By Dan Santini Argonne National Laboratory dsantini@anl.gov Remarks are attributable only to the author; not to Argonne or U.S. Department of Energy NAATBatt Conference: The Impact of PEVs on T&D Systems: Challenges and Solutions Dec. 7, 2010 The submitted manuscript has been created by Argonne National Laboratory, a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC, under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up, nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly,

40

Usage of Electric Vehicle Supply Equipment Along the Corridors between the EV Project Major Cities  

SciTech Connect (OSTI)

The report explains how the EVSE are being used along the corridors between the EV Project cities. The EV Project consists of a nationwide collaboration between Idaho National Laboratory (INL), ECOtality North America, Nissan, General Motors, and more than 40 other city, regional and state governments, and electric utilities. The purpose of the EV Project is to demonstrate the deployment and use of approximately 14,000 Level II (208-240V) electric vehicle supply equipment (EVSE) and 300 fast chargers in 16 major cities. This research investigates the usage of all currently installed EV Project commercial EVSE along major interstate corridors. ESRI ArcMap software products are utilized to create geographic EVSE data layers for analysis and visualization of commercial EVSE usage. This research locates the crucial interstate corridors lacking sufficient commercial EVSE and targets locations for future commercial EVSE placement. The results and methods introduced in this research will be used by INL for the duration of the EV Project.

Mindy Kirkpatrick

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Green Computing Wanted: Electricity Consumptions in the IT Industry and by Household Computers in Five Major Chinese Cities  

Science Journals Connector (OSTI)

Exhausted energy consumption becomes a world-wide issue nowadays. Computing contributes a large portion of energy consumption. The concept of green computing has been popularized. Along with the rapid development of China, energy issue becomes more and ... Keywords: energy/electricity consumption, IT industry, household computers, energy efficiency, green computing

Luyang Wang; Tao Wang

2011-08-01T23:59:59.000Z

42

Insecticide-treated net (ITN) ownership, usage, and malaria transmission in the highlands of western Kenya  

E-Print Network [OSTI]

treated net (ITN) ownership, usage, and malaria transmissionand mortality. However, usage varies among households, andsuch variations in actual usage may seriously limit the

2011-01-01T23:59:59.000Z

43

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

44

Household activities through various lenses: crossing surveys, diaries and electric consumption  

E-Print Network [OSTI]

comparison between electricity consumption and behavioralU.S. residential electricity consumption” Energy Policy, 42(of the residential electricity consumption. ” Energy Policy,

Durand-Daubin, Mathieu

2013-01-01T23:59:59.000Z

45

Usage Codes Additional Information  

E-Print Network [OSTI]

Usage Codes 1 5 2 6 3 7 4 8 Additional Information Winches (on deck) Electronics RPM: Max hoistingPresent? Usage Model Ratio Accuracy (m) Type: Electric / Hydraulic / Other _________________ KHz: GPS: Internal Other: Y / N Other: Y / N Y / NOther: Hydrophone Burned on board: Net sensors Usage Manufacturer High

46

Household response to dynamic pricing of electricity: a survey of 15 experiments  

Science Journals Connector (OSTI)

Since the energy crisis of 2000–2001 in the western United States, much attention has been given to boosting demand response in electricity markets. One of the best ... generation costs that could be brought abou...

Ahmad Faruqui; Sanem Sergici

2010-10-01T23:59:59.000Z

47

HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS  

E-Print Network [OSTI]

factors, such as the magnitude of the price increase, the presence of central air conditioning form of direct load control of end-uses such as central air conditioning or electric water heating

48

Understanding Socio-Economic Driving Factors of Indonesian Households Electricity Consumption in Two Urban Areas  

Science Journals Connector (OSTI)

Indonesia is one of the most diverse countries in the world in terms of its society. Therefore, there are several different characteristics in daily practices, including in consuming electricity. In order to unde...

Muhammad Ery Wijaya; Tetsuo Tezuka

2012-01-01T23:59:59.000Z

49

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

50

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

E-Print Network [OSTI]

EV market studies In the absenceof data on actual sales,EV, then we expect 16 to 18% annual of of light-duty vehicle salesEV experiments indicate there is still more than adequatepotential marketsfor electric vehicles to have , exceededthe former 1998CARB mandatefor sales

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

2001-01-01T23:59:59.000Z

51

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.

52

A literature survey on measuring energy usage for miscellaneous electric loads in offices and commercial buildings  

Science Journals Connector (OSTI)

Abstract This paper presents the current state of the art regarding work performed related to the electric energy consumption for Information and Communication Technologies (ICTs) and Miscellaneous Electric Loads (MELs), in office and commercial buildings. Techniques used for measuring the energy consumption of office plug loads, and efforts for saving energy by using this equipment more rationally and efficiently are identified and categorized. Popular methods and techniques for energy metering are discussed, together with efforts to classify and benchmark office equipment. Our study reveals that many issues are still open in this domain, including more accurate, diverse and meaningful energy audits for longer time periods, taking into account device profiles, occupant behavior and environmental context. Finally, there is a need for a global consensus on benchmarking and performance metrics, as well as a need for a coordinated worldwide activity for gathering, sharing, analyzing, visualizing and exposing all the silos of information relating to plug loads in offices and commercial buildings.

Andreas Kamilaris; Balaji Kalluri; Sekhar Kondepudi; Tham Kwok Wai

2014-01-01T23:59:59.000Z

53

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the  

E-Print Network [OSTI]

Variability of Behaviour in Electricity Load Profile Clustering; Who Does Things at the Same Time://ima.ac.uk/dent 2 The James Hutton Institute, Aberdeen, UK Abstract. UK electricity market changes provide opportunities to alter households' electricity usage patterns for the benefit of the overall elec- tricity

Aickelin, Uwe

54

Modelling household electricity consumption.  

E-Print Network [OSTI]

??A number of conclusions are drawn, however given the limited and non-representative na- ture of the data on which the model is calibrated, these can… (more)

de la Rue, Philip Martin

2010-01-01T23:59:59.000Z

55

Usage Demographics 2010  

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

0 NERSC Usage Demographics 2010 Academic Usage Usage by Discipline DOE & Other Lab Usage Usage by Institution Type Last edited: 2012-10-30 13:51:35...

56

Table HC6.12 Home Electronics Usage Indicators by Number of...  

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

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

57

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

58

NERSC Usage Demographics 2013  

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

3 NERSC Usage Demographics 2013 2013 NERSC Usage by Institution Type (MPP Hours in Millions) 2013 NERSC Usage by Discipline (MPP Hours in Millions) 2013 DOE & Other Lab Usage at...

59

Residential Electricity Demand in China -- Can Efficiency Reverse the Growth?  

E-Print Network [OSTI]

for 90% of household electricity consumption in China. Usinggives an annual electricity consumption of 12kWh assumingto look at is electricity consumption at the household

Letschert, Virginie

2010-01-01T23:59:59.000Z

60

Advanced Editor Usage Advanced Editor Usage  

E-Print Network [OSTI]

Advanced Editor Usage Advanced Editor Usage Log in and click the edit icon How to navigate of the events will seek the video to where that event starts Page 1 of 11 #12;Advanced Editor Usage How Editor Usage 3. Type in the new caption name, enter any searchable metadata and click OK (the thumbnail

Benos, Panayiotis "Takis"

Note: This page contains sample records for the topic "household electricity usage" 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

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

62

Understanding household energy consumption patterns: When “West Is Best” in Metro Manila  

Science Journals Connector (OSTI)

This paper addresses the topic of energy and development through a multi-disciplinary and systemic approach that combines environmental considerations with a social understanding of consumption. The focus is on electricity usage in the home and specifically lighting and cooling. Set in the urban mega-polis of Metro Manila, the Philippines, energy consumption is first placed in its biophysical perspective: the energy sources and electricity grid are presented, in relation to the Philippines as well as the region. The research findings then explore the social and cultural drivers behind household electricity consumption, revealing in several examples the strong influence of globalization—understood here as the flow of people, remittances, images and ideas. Policy recommendations are provided, based on the research results, with concluding remarks relevant to other similar contexts.

Marlyne D. Sahakian

2011-01-01T23:59:59.000Z

63

Modeling diffusion of electrical appliances in the residential sector  

E-Print Network [OSTI]

in forecasting electricity consumption in the residentialmodeling, since household electricity consumption is largelyup forecasting of electricity consumption by combining

McNeil, Michael A.

2010-01-01T23:59:59.000Z

64

Microsoft Word - Household Energy Use CA  

Gasoline and Diesel Fuel Update (EIA)

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

65

Microsoft Word - Household Energy Use CA  

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

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

66

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

67

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

68

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

69

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

70

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

71

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

72

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

73

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

74

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

75

Issues in International Energy Consumption Analysis: Electricity...  

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

Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Electricity Usage in India's Housing Sector Release date: November 7, 2014...

76

Commercializing Light-Duty Plug-In/Plug-Out Hydrogen-Fuel-Cell Vehicles: "Mobile Electricity" Technologies, Early California Household Markets, and Innovation Management  

E-Print Network [OSTI]

4 demonstration of a plug-in diesel-electric HUMVEE by thediesel max output (kW) continuous/Me- kW type efficiency electric

Williams, Brett D

2010-01-01T23:59:59.000Z

77

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

78

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

79

Computer usage control  

Science Journals Connector (OSTI)

...Article Computer usage control M. M. Lehman * Department of Computing and Control, Imperial...integrated multiple-computer, multiple operating systems, pricing and usage control mechanism. The original version described in this paper, was......

M. M. Lehman

1973-01-01T23:59:59.000Z

80

Usage Statistics By Group  

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

Usage Statistics Usage Statistics Genepool Cluster Statistics Period: daily weekly monthly quarter yearly 2year Utilization By Group Jobs Pending Last edited: 2013-09-26 18:21:13...

Note: This page contains sample records for the topic "household electricity usage" 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

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

82

Usage Codes Vessel name  

E-Print Network [OSTI]

Usage Codes 1 5 2 6 3 7 4 8 Vessel name Int'l radio call sign (IRCS) Generator Other: Max hoisting Sonar Power (Kw) KHz: KHz: VMS Usage Y / N GPS: Internal / external KHz: KHz: Ratio Accuracy (m Incinerator: Burned on board: Net sensors Hull mounted / towed Wired / wireless Y / N Y / N Usage Manufacturer

83

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"

84

OYEDOTUN, T. D. T. Urban water usages in Egbeda area of Oyo State,  

E-Print Network [OSTI]

OYEDOTUN, T. D. T. Urban water usages in Egbeda area of Oyo State, Nigeria Temitope Dare Timothy, Akungba-Akoko, Ondo State, Nigeria. (E-mail: oyedotuntim@yahoo.com ) Abstract The increasing urbanisation. 149 households were sampled to evaluate their water usages and needs through the use of prepared

Paris-Sud XI, Université de

85

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

86

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...

87

Commercializing Light-Duty Plug-In/Plug-Out Hydrogen-Fuel-Cell Vehicles: "Mobile Electricity" Technologies, Early California Household Markets, and Innovation Management  

E-Print Network [OSTI]

2002. EPRI, "Advanced Batteries for Electric-Drive Vehicles:12 2.2.2.1 PHEV uncertainties: Batteries andwith big propulsion batteries. However, recent activities (

Williams, Brett D

2010-01-01T23:59:59.000Z

88

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

89

APS LOM Shop Usage  

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

LOM Shop Usage User Shop Access - Policies and Procedures User Shop Orientation User Shop Authorization Certification Form User Shop Access List LOM Shop Monthly Inspection Record...

90

Interpreting Standard Usage Empirically.  

E-Print Network [OSTI]

??Writers, editors, and everyday language users look to dictionaries, style guides, usage guides, and other published works to help inform their language decisions. They want… (more)

Frandsen, Jacob F.

2014-01-01T23:59:59.000Z

91

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

92

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

93

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

94

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 *...

95

Derivative Usage and Performance Volatility  

Science Journals Connector (OSTI)

Derivative usage that reduces return volatility is frequently termed hedging, and derivative usage that increases return volatility is called speculation. ... reduce or increase their return volatility with deriv...

Weiying Jia; Yi Kang

2012-01-01T23:59:59.000Z

96

"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

97

Robotics and Energy Usage  

E-Print Network [OSTI]

It is commonly assumed that the use of robots in an industrial plant will cut energy usage, because robots require no heat, light, or air conditioning in their work space. However, in analyzing industrial installations, we have found that...

Hershey, R. L.; Fenton, S. E.; Letzt, A. M.

1983-01-01T23:59:59.000Z

98

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

99

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

100

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

Note: This page contains sample records for the topic "household electricity usage" 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 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

102

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

103

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

104

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

105

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

106

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...

107

Intron Length and Codon Usage  

Science Journals Connector (OSTI)

...The correlation was shown between the length of introns and the codon usage of the coding sequences of the corresponding ... longer introns show the higher bias of codon usage. It is most pronounced in baker's...

Alexander E. Vinogradov

2001-01-01T23:59:59.000Z

108

electricity.pdf  

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

Electricity Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS) 1. Timely submission of this report is mandatory under Public Law 93-275, as amended. 2. This...

109

Usage by Job Size  

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

Usage by Job Usage by Job Size Table Usage by Job Size Table page loading animation Usage Query Interface System All Hopper Edison Carver Planck Matgen Franklin Hopper 1 Magellan Dirac Bassi Jacquard Seaborg User Account (Repo) Execution Queue All Debug Interactive Premium Regular Short Regular Long Regular Small Regular Medium Regular Big Regular Extra Big Killable Low Transfer IO Task Special System Serial Big Memory Westmere === Inactive === Magellan Serial Magellan Short Magellan Small Magellan Medium Magellan Big Magellan Long Regular 1 Regular 1 Long Regular 16 Regular 32 Regular 48 Full Config Seaborg Serial Batch 16 Batch 32 Batch 64 Submit Queue all interactive debug premium regular low DOE Office all ASCR BER BES FES HEP NP Summary for jobs that completed after Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 @ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 : 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59

110

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

111

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

112

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

113

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

114

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

115

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

116

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

117

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.

118

The economic burden of sunscreen usage  

E-Print Network [OSTI]

Economic Burden of Sunscreen Usage Ritika Johal 1 , Michaelprice per ounce. Sunscreen Usage To estimate the daily use

Johal, Ritika; Leo, Michael S; Ma, Brian; Sivamani, Raja K

2014-01-01T23:59:59.000Z

119

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

120

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

Note: This page contains sample records for the topic "household electricity usage" 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

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

122

EV Project Electric Vehicle Charging Infrastructure Summary Report...  

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

Max electricity demand across all days Min electricity demand across all days Electricity demand on single calendar day with highest peak Charging Unit Usage Residential Level 2...

123

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...

124

HPSS Usage Examples at NERSC  

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

Examples Advanced Usage Examples Transferring Data from Batch Jobs Once you have set up your automatic HPSS authentication you can access HPSS within batch scripts. Read More ...

125

Memory Usage Considerations on Franklin  

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

Memory Considerations Memory Considerations Memory Usage Considerations on Franklin Each Franklin compute node has 8 GB (8192 MB) of physical memory, but, not all that memory is...

126

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

127

Definition: Reduced Oil Usage (Not Monetized) | Open Energy Information  

Open Energy Info (EERE)

Usage (Not Monetized) Usage (Not Monetized) Jump to: navigation, search Dictionary.png Reduced Oil Usage (Not Monetized) The functions that provide this benefit eliminate the need to send a line worker or crew to the switch or capacitor locations to operate them eliminate the need for truck rolls to perform diagnosis of equipment condition, and reduce truck rolls for meter reading and measurement purposes. This reduces the fuel consumed by a service vehicle or line truck. The use of plug-in electric vehicles can also lead to this benefit since the electrical energy used by plug-in electric vehicles displaces the equivalent amount of oil.[1] References ↑ SmartGrid.gov 'Description of Benefits' An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline Glossary Definition

128

UK Electricity Consumption and Number of Meters at MLSOA level (2008) |  

Open Energy Info (EERE)

8) 8) Dataset Summary Description The UK Department of Energy and Climate Change (DECC) releases annual statistics on domestic and non-domestic electricity and gas consumption (and number of meters) at the Middle Layer Super Output Authority (MLSOA) and Intermediate Geography Zone (IGZ) level (there are over 950 of these subregions throughout England, Scotland and Wales). Both MLSOAs (England and Wales) and IGZs (Scotland) include a minimum of approximately 2,000 households. The electricity consumption data data is split by ordinary electricity and economy7 electricity usage. All data in this set are classified as UK National Statistics. Related socio-economic data for MLSOA and IGZ levels can be accessed: http://decc.gov.uk/assets/decc/Statistics/regional/mlsoa2008/181-mlsoa-i...

129

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

130

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.

131

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

132

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

133

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

134

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

135

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

136

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

137

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

138

Lincoln Electric System (Residential)- Sustainable Energy Program  

Broader source: Energy.gov [DOE]

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

139

Water Usage Law, Major Water Users (Missouri) | Department of Energy  

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

Water Usage Law, Major Water Users (Missouri) Water Usage Law, Major Water Users (Missouri) Water Usage Law, Major Water Users (Missouri) < Back Eligibility Agricultural Commercial Construction Fed. Government Industrial Institutional Investor-Owned Utility Local Government Municipal/Public Utility Retail Supplier Rural Electric Cooperative Systems Integrator Tribal Government Utility Savings Category Water Buying & Making Electricity Program Info State Missouri Program Type Environmental Regulations Provider Missouri Department of Natural Resources Any water user with the capability to withdraw or divert 100,000 gallons or more per day from any stream, river, lake, well, spring or other water source must register and file for a permit for water withdrawal and diversion from the Department of Natural Resources. Additionally, no major

140

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

E-Print Network [OSTI]

B. Atanasiu (2006). Electricity Consumption and Efficiencywill see their electricity consumption rise significantly.the bulk of household electricity consumption in developing

Letschert, Virginie

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

ELECTRIC  

Office of Legacy Management (LM)

you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY...

142

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...

143

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

144

START Alaska Historical Energy Usage Spreadsheet | Department...  

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

Alaska Historical Energy Usage Spreadsheet START Alaska Historical Energy Usage Spreadsheet Communities applying for the DOE Office of Indian Energy Strategic Technical Assistance...

145

C3Bio.org - Usage: Overview  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Overview Prior 12 Months Usage: Overview Overview Maps Prior 12 Months By...

146

C3Bio.org - Usage: Maps  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Maps Users Currently Online Usage: Maps Overview Maps Users Currently Online...

147

C3Bio.org - Usage: Overview  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Overview By Month Usage: Overview Overview Maps Prior 12 Months By Month By...

148

C3Bio.org - Usage: Overview  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Overview By Quarter Usage: Overview Overview Maps Prior 12 Months By Month By...

149

C3Bio.org - Usage: Overview  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Overview By Fiscal Year Usage: Overview Overview Maps Prior 12 Months By Month...

150

Report on Activities And Usage Statistics of  

E-Print Network [OSTI]

Report on Activities And Usage Statistics of Learning Technology Center Services and Facilities And Usage Statistics of Learning Technology Center Services and Facilities 2009-2010 The purpose

Patzek, Tadeusz W.

151

C3Bio.org - Usage: Overview  

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

(.jpg, .jpeg, .jpe, .bmp, .tif, .tiff, .png, .gif) Submit You are here: Home Usage Overview By Calendar Year Usage: Overview Overview Maps Prior 12 Months By...

152

Memory Usage Considerations on Hopper  

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

Memory Considerations Memory Considerations Memory Usage Considerations on Edison Edison compute nodes have 64 GB of physical memory (2.67GB per core), but, not all that memory is...

153

Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas  

Science Journals Connector (OSTI)

In today’s world of volatile fuel prices and climate concerns, there is little study on the relationship between vehicle ownership patterns and attitudes toward vehicle cost (including fuel prices and feebates) and vehicle technologies. This work provides new data on ownership decisions and owner preferences under various scenarios, coupled with calibrated models to microsimulate Austin’s personal-fleet evolution. Opinion survey results suggest that most Austinites (63%, population-corrected share) support a feebate policy to favor more fuel efficient vehicles. Top purchase criteria are price, type/class, and fuel economy. Most (56%) respondents also indicated that they would consider purchasing a Plug-in Hybrid Electric Vehicle (PHEV) if it were to cost $6000 more than its conventional, gasoline-powered counterpart. And many respond strongly to signals on the external (health and climate) costs of a vehicle’s emissions, more strongly than they respond to information on fuel cost savings. Twenty five-year simulations of Austin’s household vehicle fleet suggest that, under all scenarios modeled, Austin’s vehicle usage levels (measured in total vehicle miles traveled or VMT) are predicted to increase overall, along with average vehicle ownership levels (both per household and per capita). Under a feebate, HEVs, \\{PHEVs\\} and Smart Cars are estimated to represent 25% of the fleet’s VMT by simulation year 25; this scenario is predicted to raise total regional VMT slightly (just 2.32%, by simulation year 25), relative to the trend scenario, while reducing CO2 emissions only slightly (by 5.62%, relative to trend). Doubling the trend-case gas price to $5/gallon is simulated to reduce the year-25 vehicle use levels by 24% and CO2 emissions by 30% (relative to trend). Two- and three-vehicle households are simulated to be the highest adopters of \\{HEVs\\} and \\{PHEVs\\} across all scenarios. The combined share of vans, pickup trucks, sport utility vehicles (SUVs), and cross-over utility vehicles (CUVs) is lowest under the feebate scenario, at 35% (versus 47% in Austin’s current household fleet). Feebate-policy receipts are forecasted to exceed rebates in each simulation year. In the longer term, gas price dynamics, tax incentives, feebates and purchase prices along with new technologies, government-industry partnerships, and more accurate information on range and recharging times (which increase customer confidence in EV technologies) should have added effects on energy dependence and greenhouse gas emissions.

Sashank Musti; Kara M. Kockelman

2011-01-01T23:59:59.000Z

154

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

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

3 Lighting Usage Indicators by Household Income, 2005" 3 Lighting 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" "Lighting Usage Indicators" "Total U.S. Housing Units",111.1,26.7,28.8,20.6,13.1,22,16.6,38.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per Day",91.8,20.8,23.6,17,11.3,19.1,13,30.7 "1.",28.6,9.4,9.1,4.5,2.4,3.2,5.7,12.6 "2.",29.5,6.8,8,5.8,3.7,5.2,4.2,10.2

155

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

156

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

157

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...

158

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

159

Optimal hierarchical pricing schemes for wireless network usage and resource allocation  

E-Print Network [OSTI]

some costs associated with the wireless network usage such as electricity cost, office renting costOptimal hierarchical pricing schemes for wireless network usage and resource allocation Andrey in wireless networks. For instance, before transmitting customer data, a network operator has to buy some

Paris-Sud XI, Université de

160

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

Note: This page contains sample records for the topic "household electricity usage" 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

ELECTRIC  

Office of Legacy Management (LM)

ELECTRIC ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A quantity of at lezst 5 grams would probably be sufficient for our purpose, and this was included in our 3@icntion for license to the Atonic Energy Coskqission.. This license has been approved, 2nd rre would Llp!Jreciate informztion as to how to ?r*oceed to obtain thit: m2teria.l.

162

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

163

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

164

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

165

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

166

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

167

Computer usage and national energy consumption: Results from a field-metering study  

SciTech Connect (OSTI)

The electricity consumption of miscellaneous electronic loads (MELs) in the home has grown in recent years, and is expected to continue rising. Consumer electronics, in particular, are characterized by swift technological innovation, with varying impacts on energy use. Desktop and laptop computers make up a significant share of MELs electricity consumption, but their national energy use is difficult to estimate, given uncertainties around shifting user behavior. This report analyzes usage data from 64 computers (45 desktop, 11 laptop, and 8 unknown) collected in 2012 as part of a larger field monitoring effort of 880 households in the San Francisco Bay Area, and compares our results to recent values from the literature. We find that desktop computers are used for an average of 7.3 hours per day (median = 4.2 h/d), while laptops are used for a mean 4.8 hours per day (median = 2.1 h/d). The results for laptops are likely underestimated since they can be charged in other, unmetered outlets. Average unit annual energy consumption (AEC) for desktops is estimated to be 194 kWh/yr (median = 125 kWh/yr), and for laptops 75 kWh/yr (median = 31 kWh/yr). We estimate national annual energy consumption for desktop computers to be 20 TWh. National annual energy use for laptops is estimated to be 11 TWh, markedly higher than previous estimates, likely reflective of laptops drawing more power in On mode in addition to greater market penetration. This result for laptops, however, carries relatively higher uncertainty compared to desktops. Different study methodologies and definitions, changing usage patterns, and uncertainty about how consumers use computers must be considered when interpreting our results with respect to existing analyses. Finally, as energy consumption in On mode is predominant, we outline several energy savings opportunities: improved power management (defaulting to low-power modes after periods of inactivity as well as power scaling), matching the rated power of power supplies to computing needs, and improving the efficiency of individual components.

Desroches, Louis-Benoit; Fuchs, Heidi; Greenblatt, Jeffery; Pratt, Stacy; Willem, Henry; Claybaugh, Erin; Beraki, Bereket; Nagaraju, Mythri; Price, Sarah; Young, Scott

2014-12-01T23:59:59.000Z

168

Liquidity Constraints and High Electricity Use  

E-Print Network [OSTI]

It is a well established fact that electricity use increases with income. What is less well known is that - despite the positive correlation between electricity use and income - a significant portion of low-income households consume very large...

Brutscher, Philipp-Bastian

2011-02-07T23:59:59.000Z

169

Electric Water Heater Modeling and Control Strategies for Demand Response  

SciTech Connect (OSTI)

Abstract— Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to disturbances. Effective control strategies can significantly relieve the balancing burden of conventional generators and reduce investment on generation and transmission expansion. This paper is aimed at modeling electric water heaters (EWH) in households and tests their response to control strategies to implement DR. The open-loop response of EWH to a centralized signal is studied by adjusting temperature settings to provide regulation services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform in DIgSILENT to perform electromechanical simulation, which contains 147 households in a distribution feeder. Simulation results show the dependence of EWH response on water heater usage . These results provide insight suggestions on the need of control strategies to achieve better performance for demand response implementation. Index Terms— Centralized control, decentralized control, demand response, electrical water heater, smart grid

Diao, Ruisheng; Lu, Shuai; Elizondo, Marcelo A.; Mayhorn, Ebony T.; Zhang, Yu; Samaan, Nader A.

2012-07-22T23:59:59.000Z

170

2/21/2014 Downsizing Wind Energyfor Your Phone | Glacial EnergyBlog -Commercial Electric Savings, Electric Provider, Electric Supplier http://blog.glacialenergy.com/2014/02/19/downsizing-wind-energy-for-your-phone/ 1/2  

E-Print Network [OSTI]

suppliers selling electricity and natural gas to residential, commercial, industrial, and institutional Energy Saving Tips Events General Electricity green roof Household Tips Life Tips Natural Gas New Announcements Community Electrical Safety Electricity Energy Energy Efficiency Energy Innovations Energy News

Chiao, Jung-Chih

171

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

172

Definition: Reduced Electricity Cost | Open Energy Information  

Open Energy Info (EERE)

Cost Jump to: navigation, search Dictionary.png Reduced Electricity Cost Functions that provide this benefit could help alter customer usage patterns (demand response with price...

173

Benchmarking MapReduce Implementations for Application Usage Scenarios  

E-Print Network [OSTI]

Implementations for Application Usage Scenarios Zachariareal- world application usage scenarios, including data-implementations under different usage scenarios. We link the

Fadika, Zacharia

2013-01-01T23:59:59.000Z

174

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

175

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

176

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

177

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

178

Agriculture and Life Sciences Complex Usage Guidelines  

E-Print Network [OSTI]

Agriculture and Life Sciences Complex Usage Guidelines General Policies 1. Pursuant to Texas A Sciences Complex Usage Request Form and submit a copy to the building manager, Paul Gregg (phone: 979-777-2766, email: paul.gregg@ag.tamu.edu, office: AGLS 517F). The AGLS-ALCT Usage Request Form can be found at

179

usage  

Science Journals Connector (OSTI)

This one-of-a-kind reference is unmatched in the breadth and scope of its coverage and serves as the primary reference for students and professionals in computer science and communications. The Dictionary feat...

2001-01-01T23:59:59.000Z

180

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

Science Journals Connector (OSTI)

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

Ana Soares; Álvaro Gomes; Carlos Henggeler Antunes

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Creativity in IS usage and workgroup performance: The mediating role of ambidextrous usage  

Science Journals Connector (OSTI)

Abstract Creativity in the use of information systems (IS) is critical to the performance and long-term success of organizations. Building on an organizational ambidexterity perspective, we investigate ambidexterity in IS usage which is defined as the capacity to simultaneously achieve exploitative usage and explorative usage at a workgroup level. This paper seeks to test the relationships among creative process, usage ambidexterity, and group performance. Based on a sample of 55 workgroups, we found that exploitative usage negatively influences usage ambidexterity while explorative usage positively influences it, and that usage ambidexterity positively influences group performance. Moreover, the findings indicate that usage ambidexterity mediates the effect of exploitative and explorative usage on group performance. Overall, the study contributes to greater clarity and a better understanding of how the creative process influences group performance.

Yumei Luo; Cheng Zhang; Yunjie Xu; Hong Ling

2015-01-01T23:59:59.000Z

182

A comparative evaluation of household preferences for solar photovoltaic standalone and mini-grid system: An empirical study in a costal village of Indian Sundarban  

Science Journals Connector (OSTI)

Solar PhotoVoltaic (SPV) based systems have been widely accepted technology for rural electrification in developing countries. The standalone SPV home lighting system has increasingly been popular among rural households, while SPV mini-grid supply system is being promoted for rural electrification schemes. This study uses data from household survey to explore the impact of household characteristics on the preference for electrical energy from SPV systems. Econometric evidence shows heterogeneity in behavioural pattern for these two SPV systems. The flexibility in use and cost of systems might explain this difference. Household characteristics such as monthly household income, household size, occupational status of household head, number of room and type of house significantly influence household’s decision for SPV standalone home lighting systems. For SPV mini-grid supply household’s income and monthly expenditure on kerosene are significant predictors. The result reported in this paper might be a valuable input for policy makers to frame right policy mix with regard to provide subsidy on rural electrification programmes.

Amit K. Bhandari; Chinmoy Jana

2010-01-01T23:59:59.000Z

183

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

184

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

185

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

186

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

187

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

188

NEWTON: Blood Group Systems Usage  

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

Blood Group Systems Usage Blood Group Systems Usage Name: Kishori Status: student Grade: n/a Location: Outside U.S. Country: India Date: Summer 2013 Question: What is the difference between MN blood group system and ABO bloodgroup system? Although, we nowadays prefer ABO blood groups why do we use MN blood groups in the forensic department? Replies: Humans actually have multiple blood antigens on the surface of our blood cells. Wikipedia says that there are over 50 different blood group antigens. ABO and Rh are just the most dominant. Rh actually has 3 alleles called C, D and E. So one could be CCddee, for example, but clinically, when referring to Rh, only the D antigen is considered. So MN is another system that is also present. The reason it would be considered in forensics is due to population genetics considerations. Certain combinations are found in different percentages depending on what ancestry a person is a part of. Humans evolved in isolation from each other and until relatively recently, were separated due to difficult travel/migration. But even though we can move around the planet easily now, we still carry the history of our ancestry in our DNA. M and N are codominant, like the ABO system.

189

Electricity cost saving comparison due to tariff change and ice thermal storage (ITS) usage based on a hybrid centrifugal-ITS system for buildings: A university district cooling perspective  

Science Journals Connector (OSTI)

Abstract In this paper, the case study of a district cooling system of a university located in a South East Asia region (lat: 01°29?; long: 110°20?E) is presented. In general, the university has high peak ambient temperature of around 32–35 °C coupled with high humidity of about 85% during afternoon period. The total electricity charge for the Universiti Malaysia Sarawak Campus is very high amounting to more than $314,911 per month. In this paper, a few district cooling schemes are investigated to provide “what-if analysis” and in order to minimize the overall electricity charges. Few scenarios designed for the application of centrifugal with and without ice-thermal storage (ITS) systems on the buildings were investigated. It was found that, due to the local tariff status, marginally saving can be achieved in the range of 0.08–3.13% if a new tariff is adopted; and a total of further saving of 1.26–2.43% if ITS is operated. This marginally saving is mainly due to the local tariff conditions and lower local temperature range (?T) which are less favorable as compared with those reported in the literature elsewhere.

Mohammad Omar Abdullah; Lim Pai Yii; Ervina Junaidi; Ghazali Tambi; Mohd Asrul Mustapha

2013-01-01T23:59:59.000Z

190

MagLab - Electricity Meter Tutorial  

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

years later, Thomas Edison developed a model using electrolysis to measure electricity usage; a set-up similar to the one demonstrated in our tutorial on the simple electrical...

191

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

192

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

193

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

194

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

195

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

196

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

197

LHCb Computing Resource usage in 2014 (I)  

E-Print Network [OSTI]

This documents summarizes the usage of computing resources by the LHCb collaboration during the period January 1st- July 31st 2014.

Bozzi, C

2014-01-01T23:59:59.000Z

198

WebUser: mining unexpected web usage  

Science Journals Connector (OSTI)

Web usage mining has been much concentrated on the discovery of relevant user behaviours from web access record data. In this paper, we present WebUser, an approach to discover unexpected usage in web access log. We present a belief-driven method for extracting unexpected web usage sequences, where the belief system consists of a temporal relation and semantics constrained sequence rules acquired with respect to prior knowledge. Our experiments show the effectiveness and usefulness of the proposed approach. Furthermore, discovered rules of unexpected web usage can be used for web content personalisation and recommendation, site structure optimisation and critical event prediction.

Dong Li; Anne Laurent; Pascal Poncelet

2011-01-01T23:59:59.000Z

199

Evolution of codon usage in bacteria.  

E-Print Network [OSTI]

??Initially, this thesis investigates patterns of intragenomic codon usage within the genome of the Delta Proteobacterium Bdellovibrio bacteriovorus. Correspondence analyses revealed the primary factor influencing… (more)

Henry, Ian

2007-01-01T23:59:59.000Z

200

On the evolution of codon usage bias.  

E-Print Network [OSTI]

??The genetic code is redundant, with most amino acids coded by multiple codons. In many organisms, codon usage is biased towards particular codons. A variety… (more)

Shah, Premal R

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Effects of environmental prompts on stair usage.  

E-Print Network [OSTI]

??The objective of this study was to evaluate whether environmental prompts placed in two-story buildings on a university campus would increase stair usage. Three buildings… (more)

Andersen, Lori

2010-01-01T23:59:59.000Z

202

Usage Policies for Decentralised Information Processing.  

E-Print Network [OSTI]

??Owners impose usage restrictions on their information, which can be based e.g. on privacy laws, copyright law or social conventions. Often, information is processed in… (more)

Speiser, Sebastian

2013-01-01T23:59:59.000Z

203

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

204

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

205

Memory Usage Considerations on Hopper  

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

Memory Considerations Memory Considerations Memory Considerations Memory Usage Considerations on Hopper Most Hopper compute nodes have 32 GB of physical memory, but, not all that memory is available to user programs. Compute Node Linux (the kernel), the Lustre file system software, and message passing library buffers all consume memory, as does loading the executable into memory. Thus the precise memory available to an application varies. Approximately 31 GB of memory can be allocated from within an MPI program using all 24 cores per node, i.e., 1.29 GB per MPI task on average. If an application uses 12 MPI tasks per node, then each MPI task could use about 2.58 GB of memory. You may see an error message such as "OOM killer terminated this process." "OOM" means Out of Memory and it means that your code has exhausted the

206

Codon usage divergence of homologous vertebrate genes and codon usage clock  

Science Journals Connector (OSTI)

This paper is concerned with the divergence of synonymous codon usage and its bias in three homologous genes ... species are described in terms of synonymous codon usage divergence and the correlation is found be...

Manyuan Long; John H. Gillespie

1991-01-01T23:59:59.000Z

207

ISSN 1745-9648 Potential Impact of Electricity Reforms on  

E-Print Network [OSTI]

ISSN 1745-9648 Potential Impact of Electricity Reforms on Turkish Households by Necmiddin Finance, Hacettepe University & Catherine Waddams Price ESRC Centre for Competition Policy and Norwich the potential effect of electricity reform on different households, using a series of potential scenarios

Feigon, Brooke

208

Stand-by Electricity Consumption in Japanese Houses  

Science Journals Connector (OSTI)

In recent years as Japanese household electrical appliances have become more multi-functional and high performance, the number of appliances that consume a little electricity even when turned off has grown. There...

Hidetoshi Nakagami; Akio Tanaka…

1999-01-01T23:59:59.000Z

209

University of Florida Cell Phone Usage Log  

E-Print Network [OSTI]

University of Florida Cell Phone Usage Log Information below must be compared to the monthly statement provided by the cell phone service provider. It is required that this log be completed when of the last page of the usage log. Employee's Name:Business Device - Cell Phone Number: Printed Name

Sin, Peter

210

Coal ban could heat up electricity prices  

Science Journals Connector (OSTI)

Coal ban could heat up electricity prices ... The U.S. EPA’s new report on the economic impact of the bill suggests it would cost households $100?140 per year by 2030. ...

Janet Pelley

2009-05-13T23:59:59.000Z

211

Payment Matters? - An Exploratory Study into the Pre-Payment Electricity Metering  

E-Print Network [OSTI]

In this paper we look at the role of pre-payment (in the context of prepayment metering) for household electricity consumption. Using a matching approach, we find that households paying their electricity up-front tend to consume no less electricity...

Brutscher, Philipp-Bastian

2011-02-10T23:59:59.000Z

212

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

213

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

214

UC Libraries Academic e-Book Usage Survey  

E-Print Network [OSTI]

Libraries Academic e-Book Usage Survey Springer e-Book Pilotnot sure of their e-book usage. Of those reporting not usinge-journals. Variations in e-book usage in academic work are

Li, Chan; Poe, Felicia; Potter, Michele; Quigley, Brian; Wilson, Jacqueline

2011-01-01T23:59:59.000Z

215

Universality and Shannon entropy of codon usage  

Science Journals Connector (OSTI)

The distribution functions of codon usage probabilities, computed over all the available GenBank data for 40 eukaryotic biological species and five chloroplasts, are best fitted by the sum of a constant, an exponential, and a linear function in the rank of usage. For mitochondria the analysis is not conclusive. These functions are characterized by parameters that strongly depend on the total guanine and cytosine (GC) content of the coding regions of biological species. It is predicted that the codon usage is the same in all exonic genes with the same GC content. The Shannon entropy for codons, also strongly dependent on the exonic GC content, is computed.

L. Frappat; C. Minichini; A. Sciarrino; P. Sorba

2003-12-24T23:59:59.000Z

216

C3Bio.org - Resources: Workspace: Usage  

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

.tiff, .png, .gif) Submit You are here: Home Resources Tools Workspace Usage 0 questions (Ask a question) 0 review(s) (Review this) 24 users, detailed usage 0...

217

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________  

E-Print Network [OSTI]

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase (rev. 10/2005-ecb) #12;Vehicle Usage Log Instructions General instructions: The details of the use

Yang, Zong-Liang

218

Recent Trends in Car Usage in Advanced Economies - Slower Growth...  

Open Energy Info (EERE)

Trends in Car Usage in Advanced Economies - Slower Growth Ahead? Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Recent Trends in Car Usage in Advanced Economies -...

219

Illinois: High-Energy, Concentration-Gradient Cathode Material for Plug-in Hybrids and All-Electric Vehicles Could Reduce Batteries' Cost and Size  

Broader source: Energy.gov [DOE]

Batteries for electric drive vehicles and renewable energy storage will reduce petroleum usage, improving energy security and reducing harmful emissions.

220

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...

Note: This page contains sample records for the topic "household electricity usage" 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

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

222

General Guidance on Data Usage and Management  

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

General Guidance on Data Usage and Management General Guidance on Data Usage and Management Summary Data Usage Credit Data Management and Documentation: Introduction Our philosophy Data management Record measured values Zero versus missing value Metadata Data documentation Define variables Specify units Provide citations For additional information Summary Ensure long-term preservation of, and full and open access to, high-quality data sets Give proper credit to the researchers providing the data Provide thorough, yet simple, documentation: how the data were produced, what they mean Generate ASCII data and documentation files; they ensure readibility by virtually all users Define variable names and units Point to, or provide, important publications that further document the data Data usage CDIAC fully supports the July 1991 Policy Statements on Data Management for

223

Social Influence Modeling on Smartphone Usage  

Science Journals Connector (OSTI)

This paper presents a probabilistic influence model for smartphone usage; it applies a latent group model to social influence. The probabilistic model is built on the assumption that a time series of students’...

Masaji Katagiri; Minoru Etoh

2011-01-01T23:59:59.000Z

224

Parallel File Systems at HPC Centers: Usage,  

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

File Systems at HPC Centers: Usage, Experiences, and Recommendations William ( Bill) E . A llcock ALCF D irector o f O pera:ons Production Systems: ALCF-2 2 Mira - B GQ s ystem -...

225

Material impacts on operational energy usage  

E-Print Network [OSTI]

Decisions regarding materials and construction of a building are made all the time in the architectural process, but thought is not always given to how those choices may affect the buildings ultimate energy usage and the ...

Love, Andrea, S.M. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

226

Predicting Energy Usage in a Supermarket  

E-Print Network [OSTI]

PREDICTING ENERGY USAGE IN A SUPERMARKET Derek W. Schrock and David E. Claridge Energy Systems Laboratory Mechanical Engineering Department Texas A&M University ABSTRACT Very little is known about the energy using systems in commercial..., solar radiation, lighting and other internal loads [8] and (2) a regression model, with temperature and customer count as variables, to predict the end-use energy usage in restaurants [9]. There has also been specific work accomplished studying...

Schrock, D. W.; Claridge, D. E.

1989-01-01T23:59:59.000Z

227

Electricity 101 | Department of Energy  

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

Resources » Electricity 101 Resources » Electricity 101 Electricity 101 FREQUENTLY ASKED QUESTIONS: Why do other countries use different shaped plugs? Why do outlets have three holes? Why do we have AC electricity? Can we harness lightning as an energy source? Can we have wireless transmission of electricity? SYSTEM: What is electricity? Where does electricity come from? What is the "grid"? How much electricity does a typical household use? How did the electric system evolve? What does the future look like? PEOPLE: Who owns the electric system? Who runs the grid? Who uses electricity? Where can I find out more about potential careers? How can I improve my energy use? POLICY: How is electricity regulated? Where can I find out about State incentives for renewables? What is a national corridor?

228

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

229

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

230

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

231

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

232

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

233

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

234

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

235

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

236

Watt Does It Cost To Use It?  

K-12 Energy Lesson Plans and Activities Web site (EERE)

Students learn how electrical usage is counted and priced. They measure and evaluate energy use and cost of representative household and school electrical items.

237

UK Electricity Consumption and Number of Meters at MLSOA level (2005 -  

Open Energy Info (EERE)

5 - 5 - 2007) Dataset Summary Description The UK Department of Energy and Climate Change (DECC) releases annual statistics on domestic and industrial/commercial electricity and gas consumption (and number of meters) at the Middle Layer Super Output Authority (MLSOA) and Intermediate Geography Zone (IGZ) level (there are over 950 of these subregions throughout England, Scotland and Wales). Both MLSOAs (England and Wales) and IGZs (Scotland) include a minimum of approximately 2,000 households. The domestic electricity consumption data data is split by ordinary electricity and economy7 electricity usage. These data are classified as UK National Statistics. Note about spreadsheets: separate tabs exist for each local authority (LA), but the tabs are hidden. To view data, simply 'unhide' the appropriate tab(s). You do not need to "enable macros" to view the data. Related socio-economic data for MLSOA and IGZ levels can be accessed: http://decc.gov.uk/assets/decc/Statistics/regional/mlsoa2008/181-mlsoa-i...

238

UNCOVERING BASIC WANTS USING THE ROTTERDAM AND AIDS MODELS: THE US HOUSEHOLD ENERGY CONSUMPTION CASE  

E-Print Network [OSTI]

refers to these latent goods as transformed goods or T-goods. Leading researchers have explored this technique of incorporating characteristics. In this study, we revisit this technique by trying to uncover the basic wants behind the demand for gas..., distillate fuel oil, and the liquefied petroleum gases (LPG) by US households. To give some examples, electricity may be used for many basic wants such as lighting, cooking, and cooling. Similarly, without being exhaustive, gas may be used for heating...

Diallo, Ibrahima

2013-05-31T23:59:59.000Z

239

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......

240

The comparative impact of the market penetration of energy-efficient measures: A sensitivity analysis of its impact on minority households  

SciTech Connect (OSTI)

A sensitivity study was made of the potential market penetration of residential energy efficiency as energy service ratio (ESR) improvements occurred in minority households, by age of house. The study followed a Minority Energy Assessment Model analysis of the National Energy Strategy projections of household energy consumption and prices, with majority, black, and Hispanic subgroup divisions. Electricity and total energy consumption and expenditure patterns were evaluated when the households` ESR improvement followed a logistic negative growth (i.e., market penetration) path. Earlier occurrence of ESR improvements meant greater discounted savings over the 22-year period.

Bozinovich, L.V.; Poyer, D.A.; Anderson, J.L.

1993-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

How Usage is Charged at NERSC  

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

usage usage is charged How usage is charged MPP Charging (Computational Systems) When a job runs on a NERSC MPP system, such as Hopper, charges accrue against one of the user's repository allocations. The unit of accounting for these charges is the "MPP Hour". A parallel job is charged for exclusive use of each multi-core node allocated to the job. The MPP charge for such a job is calculated as the product of: the job's elapsed wall-clock time in hours, the number of nodes allocated to the job (regardless of the number actually used), the number of cores available on each allocated node, a machine charge factor (MCF) based on typical performance of the machine relative to Hopper (MCF=1.0), and a queue charge factor (QCF). Queue priority scheduling gives users

242

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

243

A portal for visualizing grid usage.  

SciTech Connect (OSTI)

We introduce a framework for measuring the use of Grid services and exposing simple summary data to an authorized set of Grid users through a JSR168-enabled portal. The sensor framework has been integrated into the Globus Toolkit and allows Grid administrators to have access to a mechanism helping with report and usage statistics. Although the original focus was the reporting of actions in relationship to GridFTP services, the usage service has been expanded to report also on the use of other Grid services.

von Laszewski, G.; DiCarlo, J.; Allcock, B.; Mathematics and Computer Science; Univ. of Chicago

2007-08-25T23:59:59.000Z

244

ASSESSMENT OF HOUSEHOLD CARBON FOOTPRINT REDUCTION POTENTIALS  

E-Print Network [OSTI]

efficiency measures applicable to home energy,  commercial sector electricity and natural gas, industrial 

Masanet, Eric

2010-01-01T23:59:59.000Z

245

Social influence modeling on smartphone usage  

Science Journals Connector (OSTI)

This paper presents a probabilistic influence model for smartphone usage; it applies a latent group model to social influence. The probabilistic model is built on the assumption that a time series of students' application downloads and activations can ... Keywords: NMF, behavior prediction, latent structure analysis, matrix factorization, mobile application, recommendation, user influence

Masaji Katagiri; Minoru Etoh

2011-12-01T23:59:59.000Z

246

Jadeite: Improving API Documentation Using Usage Information  

E-Print Network [OSTI]

Jadeite: Improving API Documentation Using Usage Information Abstract Jadeite is a new Javadoc-like API documentation sys- tem that takes advantage of multiple users' aggregate experience to reduce difficulties that programmers have learning new APIs. Previous studies have shown that programmers often

Myers, Brad A.

247

Reducing the Energy Usage of Oce Applications  

E-Print Network [OSTI]

to distill multimedia content from presentations stored on remote servers, we reduce the energy neededReducing the Energy Usage of OÃ?ce Applications Jason Flinn 1 , Eyal de Lara 2 , M. Satyanarayanan 1 University Abstract. In this paper, we demonstrate how component-based mid- dleware can reduce the energy

Flinn, Jason

248

Affording Gas and Electricity: Self Disconnection and  

E-Print Network [OSTI]

Affording Gas and Electricity: Self Disconnection and Rationing by Prepayment and Low Income Credit interview schedule................................... liv #12;2 Fuel Usage and Consumption Patterns of Low electricity, but this seems to be because gas prepayers have lower average income than electricity prepayers

Feigon, Brooke

249

SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin, Prashant Shenoy, and Jeannie Albrecht  

E-Print Network [OSTI]

SmartCap: Flattening Peak Electricity Demand in Smart Homes Sean Barker, Aditya Mishra, David Irwin--Flattening household electricity demand reduces generation costs, since costs are disproportionately affected by peak demands. While the vast majority of household electrical loads are interactive and have little scheduling

Massachusetts at Amherst, University of

250

C3Bio.org - Resources: Quantum Dot Lab: Usage  

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

.png, .gif) Submit You are here: Home Resources Tools Quantum Dot Lab Usage 0 questions (Ask a question) 0 review(s) (Review this) 15 users, detailed usage 0...

251

Transportation & Work: Exploring Car Usage and Employment Outcomes  

E-Print Network [OSTI]

Transportation & Work: Exploring Car Usage and Employment Outcomes in the LSAL Data Field Area networks. This analysis addresses the role of car usage in employment outcomes such as employment status

Bertini, Robert L.

252

Attachment 2 NSTX Data Usage and Publication Agreement  

E-Print Network [OSTI]

Attachment 2 NSTX Data Usage and Publication Agreement NSTX Research is carried out by a multi agrees to adhere to the following guidelines of the NSTX data usage and results publication. 1

Princeton Plasma Physics Laboratory

253

Attachment 2 NSTX Data Usage and Publication Agreement  

E-Print Network [OSTI]

Attachment 2 NSTX Data Usage and Publication Agreement NSTX is an open, fundamental research of the NSTX data usage and results publication. 1) No Research Team member will be given direct access

Princeton Plasma Physics Laboratory

254

Green Button Helps More Consumers Click with Their Energy Usage...  

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

Button Helps More Consumers Click with Their Energy Usage Data Green Button Helps More Consumers Click with Their Energy Usage Data September 12, 2013 - 2:41pm Addthis At the White...

255

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

256

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

257

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

258

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

259

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

260

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

Note: This page contains sample records for the topic "household electricity usage" 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

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

SciTech Connect (OSTI)

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

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

1997-01-01T23:59:59.000Z

262

Availability, usage and expected contribution of potential nursery habitats for the California halibut  

E-Print Network [OSTI]

locate/ecss Availability, usage and expected contribution ofas well as the distribution (usage) of juvenile ?sh withinof ju- venile ?sh (usage) within those habitats. In this

Fodrie, Fredrick Joel; Mendoza, Guillermo F.

2006-01-01T23:59:59.000Z

263

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

264

Structural proteomics of minimal organisms: conservation of protein fold usage and evolutionary implications  

E-Print Network [OSTI]

e A) Variation in fold usage between organisms, in differentB) Variation in fold usage between minimal organisms onlyConservation of protein fold usage and evolutionary

Chandonia, John-Marc; Kim, Sung-Hou

2006-01-01T23:59:59.000Z

265

Mining data on usage of electronic nicotine delivery systems (ENDS) from YouTube videos  

E-Print Network [OSTI]

Research paper Mining data on usage of electronic nicotineresource for studying ENDS usage. Longer puff duration mayof nicotine to make ENDS usage attractive. We have tested

Talbot, Prue

2013-01-01T23:59:59.000Z

266

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

267

A Decision-Based Analysis of Compressed Air Usage Patterns in Automotive Manufacturing  

E-Print Network [OSTI]

Analysis of Compressed Air Usage Patterns in Automotivefor future compressed air usage. The Cost-of-Ownership andfuture compressed air usage. Environmental Value systems (

Yuan, Chris; Zhang, Teresa; Rangarajan, Arvind; Dornfeld, David; Ziemba, Bill; Whitbeck, Rod

2006-01-01T23:59:59.000Z

268

Cognitive Structures Underlying Gendered Language Usage in Germany: Narration and Linguistic Fieldwork  

E-Print Network [OSTI]

Underlying Gendered Language Usage in Germany: Narration andUnderlying Gendered Language Usage in Germany: Narration andUnderlying Gendered Language Usage in Germany: Narration and

Kolar, Meredith

2011-01-01T23:59:59.000Z

269

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network [OSTI]

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

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

270

Practices, Trends, and Recommendations in Technical Appendix Usage for Selected Data-Intensive Disciplines  

E-Print Network [OSTI]

IN TECHNICAL APPENDIX USAGE FOR SELECTED DATA?INTENSIVEIN TECHNICAL APPENDIX USAGE FOR SELECTED DATA?INTENSIVEIN TECHNICAL APPENDIX USAGE FOR SELECTED DATA?INTENSIVE

2011-01-01T23:59:59.000Z

271

Nonlinear seismic ground response analysis: code usage protocols and verification against vertical array data  

E-Print Network [OSTI]

Response Analysis: Code Usage Protocols and Verificationparameter selection and code usage protocols as well aslinear modeling. Regarding code usage/parameter selection

Stewart, Jonathan P; Kwok, Annie O.L.

2008-01-01T23:59:59.000Z

272

Influences, usage, and outcomes of Internet health information searching: Multivariate results from the Pew surveys  

E-Print Network [OSTI]

INFLUENCES, USAGE, AND OUTCOMES OF INTERNET HEALTHR.E. (2006). Influences, usage, and outcomes of InternetSeeking, p-3 INFLUENCES, USAGE, AND OUTCOMES OF INTERNET

Rice, Ronald E

2006-01-01T23:59:59.000Z

273

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

SciTech Connect (OSTI)

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

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

1998-05-01T23:59:59.000Z

274

Multi-dimensional Exploration of API Usage  

E-Print Network [OSTI]

Abstract—This paper is concerned with understanding API usage in a systematic, explorative manner for the benefit of both API developers and API users. There exist complementary, less explorative methods, e.g., based on code search, code completion, or API documentation. In contrast, our approach is highly interactive and can be seen as an extension of what IDEs readily provide today. Exploration is based on multiple dimensions: i) the hierarchically organized scopes of projects and APIs; ii) metrics of API usage (e.g., number of project classes extending API classes); iii) metadata for APIs; iv) project- versus API-centric views. We also provide the QUAATLAS corpus of Java projects which enhances the existing QUALITAS corpus to enable APIusage analysis. We implemented the exploration approach in an

Coen De Roover; Ralf Lämmel; Ekaterina Pek

275

Demand and Usage in Scotland Update Report to March 2008  

E-Print Network [OSTI]

Woodfuel Demand and Usage in Scotland Update Report to March 2008 #12;Woodfuel Use Update Woodfuel Demand and Usage in Scotland 2008 Contents: 1. The brief 2. Methodology 3. Results 3.1. Operational ­ May 2005" (unpublished report on existing and potential woodfuel usage in the commercial, industrial

276

DSK: k-mer counting with very low memory usage  

Science Journals Connector (OSTI)

......k-mer counting with very low memory usage Guillaume Rizk 1 Dominique Lavenier 2 Rayan...function of the desired memory and disk usage. In Section 3, DSK is used to count all...sequences, k-mer length k, target memory usage M (bits), target disk space D (bits......

Guillaume Rizk; Dominique Lavenier; Rayan Chikhi

2013-03-01T23:59:59.000Z

277

Usage Codes Observer code Vessel code Trip ID  

E-Print Network [OSTI]

Usage Codes 1 5 2 6 3 7 4 8 Observer code Vessel code Trip ID Permit holder name/address Permit / N MMSI No. Y / N Present? Usage Water capacity (m3): Fuel capacity: m3 / tonnes Other: Other: Kw all that apply & note types of materials for each) Capacity: Usage Incinerator: Net mensuration Y / N

278

Use and misuse of correspondence analysis in codon usage studies  

E-Print Network [OSTI]

Use and misuse of correspondence analysis in codon usage studies Guy PerrieÁre* and Jean Thioulouse; Accepted August 22, 2002 ABSTRACT Correspondence analysis has frequently been used for codon usage studies but this method is often misused. Because amino acid composition exerts constraints on codon usage, it is common

Thioulouse, Jean

279

Usage Codes Observer code Vessel code Trip ID  

E-Print Network [OSTI]

Usage Codes 1 5 2 6 3 7 4 8 Sonar Observer code Vessel code Trip ID Additional Information KHz: RPM / Other _______________Global Registry ID:MMSI No. Permit expiration (dd-mm- yy): Y / N Present? Usage contact Diver / dive equipment Usage Manufacturer Hull mounted / towed Catch Y / N Other: Y / N Y / NOther

280

Calculation method for electricity end-use for residential lighting  

Science Journals Connector (OSTI)

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

Eva Rosenberg

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Empirical Characterization and Modeling of Electrical Loads in Smart Homes  

E-Print Network [OSTI]

in data analysis: i) generating device-accurate synthetic traces of building electricity usage, and ii) filtering out loads that generate rapid and random power variations in building electricity data. Keywords--ElectricalEmpirical Characterization and Modeling of Electrical Loads in Smart Homes Sean Barker, Sandeep

Shenoy, Prashant

282

ISSN 1745-9648 The Impact of Electricity Market Reform  

E-Print Network [OSTI]

ISSN 1745-9648 The Impact of Electricity Market Reform on Consumers by Catherine Waddams Price ESRC, University of East Anglia CCP Working Paper 08-7 Abstract: We examine the effect of current electricity, where household expenditure surveys and electricity tariffs are available, we analyse the effects

Feigon, Brooke

283

Codon Usage and tRNA Genes in Eukaryotes: Correlation of Codon Usage Diversity with Translation Efficiency and with CG-Dinucleotide Usage as Assessed by Multivariate Analysis  

Science Journals Connector (OSTI)

The species-specific diversity of codon usage in five eukaryotes (Schizosaccharomyces pombe, Caenorhabditis elegans, Drosophila melanogaster, Xenopus laevis, and Homo sapiens) was investigated with principal com...

Shigehiko Kanaya; Yuko Yamada; Makoto Kinouchi…

2001-10-01T23:59:59.000Z

284

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

285

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

286

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

287

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

288

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

289

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

290

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...

291

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

292

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

293

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network [OSTI]

Race is mixed White & Hispanic Household resides big MSAs 1)Race is mixed White & Hispanic Household resides in big MSAsmixed White & Hispanic MSA has rail Household resides in Big

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

294

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

effects for Asian and Hispanic households, but due to theHouseholds which are solely Black, solely Asian, solely Hispanic,household not retired Dummy: race is Asian Dummy: race is Hispanic

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

295

Unit Cost Electricity | OpenEI  

Open Energy Info (EERE)

8 8 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281518 Varnish cache server Unit Cost Electricity Dataset Summary Description Provides annual energy usage for years 1989 through 2010 for UT at Austin; specifically, electricity usage (kWh), natural gas usage (Mcf), associated costs. Also provides water consumption for 2005 through 2010. Source University of Texas (UT) at Austin, Utilities & Energy Management Date Released Unknown Date Updated Unknown Keywords Electricity Consumption Natural Gas Texas Unit Cost Electricity Unit Cost Natural Gas University Water Data application/vnd.ms-excel icon Energy and Water Use Data for UT-Austin (xls, 32.8 KiB) Quality Metrics

296

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

297

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

298

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

299

Why E-government Usage Lags Behind: Explaining the Gap Between Potential and Actual Usage of Electronic Public Services in the Netherlands  

Science Journals Connector (OSTI)

Most of the EU-15 countries illustrate a gap between potential usage and actual usage of electronic public services. Using a model ... the case of current Dutch electronic governmental service usage. Motivational...

Alexander van Deursen; Jan van Dijk; Wolfgang Ebbers

2006-01-01T23:59:59.000Z

300

Intranet usage, managerial satisfaction and performance impact: an empirical analysis  

Science Journals Connector (OSTI)

This article investigates the relationships between intranet usage, satisfaction as well as their impacts on performance from the managerial perspective which have received little research attention. Data was collected from 150 middle managers in the Malaysian port industry. The structural equation modelling results indicate that both usage and satisfaction significantly predict performance impact. Intranet usage significantly predicts managerial satisfaction and vice-versa; with intranet usage having more impact on satisfaction and that both are positively related. The results provide insights on how the Malaysian port industry and other organisations of a similar structure could improve their intranet adoption.

Mohd Daud Norzaidi; Siong Choy Chong; Mohamed Intan Salwani

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Optimization Online - On the implementation and usage of SDPT3 ...  

E-Print Network [OSTI]

Jun 16, 2010 ... On the implementation and usage of SDPT3 -- a Matlab software package for semidefinite-quadratic-linear programming, version 4.0.

Kim-Chuan Toh

2010-06-16T23:59:59.000Z

302

Impact of asset usage preferences on parallel replacement decisions.  

E-Print Network [OSTI]

??Data from a state department of transportation fleet shows that the usage of a typical asset decreases as it ages. One possible explanation for decreasing… (more)

Wagner, Tristan John

2010-01-01T23:59:59.000Z

303

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network [OSTI]

??The research deals with improved prediction of runway usage for noise forecast. Since the accuracy of the noise forecast depends on the robustness of runway… (more)

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

304

Improved Usage Model for Web Application Reliability Testing .  

E-Print Network [OSTI]

??Testing the reliability of an application usually requires a good usage model that accurately captures the likely sequences of inputs that the application will receive… (more)

Wan, Bo

2012-01-01T23:59:59.000Z

305

An Investigation of ink usage in offset process printing.  

E-Print Network [OSTI]

??With the trend of sustainable printing in the print industry, reducing ink usage is considered a win-win solution for printers who are seeking sustainable printing… (more)

Zhou, Jiayi

2012-01-01T23:59:59.000Z

306

Geothermal: Sponsored by OSTI -- Ways to Minimize Water Usage...  

Office of Scientific and Technical Information (OSTI)

Ways to Minimize Water Usage in Engineered Geothermal Systems Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On HomeBasic Search About...

307

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

E-Print Network [OSTI]

duty vehicle sales. Additional EV sales to commercial andfor limited range, projected EV sales are very low. Marketinclude any potential EV sales to commercial or government

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

308

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]

elude us until newelectric energystorage technologies can beelude us untd newelectric energystorage technologies can be

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

309

Electrical Deregulation - Planning for Success in Texas Schools  

E-Print Network [OSTI]

to understand their energy usage and patterns, district characteristics, deregulation options and pricing, and terms/conditions. This paper provides Texas Schools with specific homework, electrical deregulation options, procurement process, and RFP guidelines...

McClure, J. D.; Schreppler, S.; Bristow, G.

2002-01-01T23:59:59.000Z

310

Usage leading to an abrupt collapse of connectivity  

Science Journals Connector (OSTI)

Network infrastructures are essential for the distribution of resources such as electricity and water. Typical strategies to assess their resilience focus on the impact of a sequence of random or targeted failures of network nodes or links. Here we consider a more realistic scenario, where elements fail based on their usage. We propose a dynamic model of transport based on the Bak–Tang–Wiesenfeld sandpile model where links fail after they have transported more than an amount ? (threshold) of the resource and we investigate it on the square lattice. As we deal with a new model, we provide insight on its fundamental behavior and dependence on parameters. We observe that, for low values of the threshold due to a positive feedback of link failure, an avalanche develops that leads to an abrupt collapse of the lattice. By contrast, for high thresholds the lattice breaks down in an uncorrelated fashion. We determine the critical threshold ?* separating these two regimes and show how it depends on the toppling threshold of the nodes and the mass increment added stepwise to the system. We find that the time of major disconnection is well described with a linear dependence on ?. Furthermore, we propose a lower bound for ?* by measuring the strength of the dynamics leading to abrupt collapses.

D. V. Stäger; N. A. M. Araújo; H. J. Herrmann

2014-10-31T23:59:59.000Z

311

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.

312

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.

313

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

314

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...

315

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...

316

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...

317

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.

318

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

319

Determining Dictionary and Usage Guide Agreement with Real-World Usage: A Diachronic Corpus Study of American English.  

E-Print Network [OSTI]

??Dictionaries and, to a lesser extent, usage guides provide writers, editors, and users of American English information on how to use the language appropriately. Dictionaries,… (more)

Fronk, Amanda Kae

2014-01-01T23:59:59.000Z

320

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

Note: This page contains sample records for the topic "household electricity usage" 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

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

322

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

323

Furman University Justification of Business Usage of Cell Phone  

E-Print Network [OSTI]

Furman University Justification of Business Usage of Cell Phone 1 Name Justification of Business Usage of Cell Phone 2 The type of cell phone coverage must be reasonably workday? Yes_____ No_____ Other business reason that may necessitate use of cell phone, describe

324

Cognitive UWB-OFDM: Combining Ultrawideband with Opportunistic Spectrum Usage  

E-Print Network [OSTI]

wireless world, the number of radio systems increases every day, and efficient spectrum usage becomes problem, cognitive radio proposes an opportunistic spectrum usage approach [3], in which frequency bands that are not being used by their primary (licensed) users are utilized by cognitive radios. Both UWB and cognitive

Arslan, Hüseyin

325

A Genetic Algorithm Approach to Focused Software Usage Testing  

E-Print Network [OSTI]

A Genetic Algorithm Approach to Focused Software Usage Testing Robert M. Patton, Annie S. Wu Orlando, FL, U.S.A. ABSTRACT Because software system testing typically consists of only a very small the test results from a limited amount of testing based on high-level usage models. It can also be very

Wu, Annie S.

326

Improving API Usage through Automatic Detection of Redundant Code  

E-Print Network [OSTI]

Improving API Usage through Automatic Detection of Redundant Code David Kawrykow and Martin P Programming Interfaces (APIs). We have observed many cases where APIs are used in ways that are not the most effective. We developed a technique and tool support to automatically detect such patterns of API usage

Robillard, Martin

327

Detecting Inefficient API Usage David Kawrykow and Martin P. Robillard  

E-Print Network [OSTI]

Detecting Inefficient API Usage David Kawrykow and Martin P. Robillard School of Computer Science (APIs). We have observed many cases where APIs are used in ways that are not efficient. We developed a technique to automatically detect inefficient API usage in software projects. The main hypothesis underlying

Robillard, Martin

328

Ames Electric Department - Residential Energy Efficiency Rebate Programs |  

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

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

329

Evaluation of evolving residential electricity tariffs  

SciTech Connect (OSTI)

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

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

2011-05-15T23:59:59.000Z

330

Hybrid application of biogas and solar resources to fulfill household energy needs: A potentially viable option in rural areas of developing countries  

Science Journals Connector (OSTI)

Abstract The absence of clean cooking facilities and electricity means billions of rural people are deprived of much needed socioeconomic development. Livestock residues (dung) and solar radiation are two renewable energy resources that are abundantly available in rural areas of developing countries. Although it is not feasible for these two resources separately to meet both thermal (cooking) and electricity demands, hybrid applications have not been given due attention. To facilitate integrating these two resources in rural energy planning, and to promote their dissemination through hybrid applications, it is necessary to evaluate their economic merits, and assess their ability to deal with the demands. In this paper, we examine the techno-economic performance of hybrid applications of these two resources by applying a simulation technique using the HOMER tool, and by giving derived cost-saving equations. We also quantify the monetary savings from replacing traditional fuels, and perform a sensitivity analysis on a number of variables (e.g. dung cost, fuelwood cost) to see how they affect the performance of different energy supply alternatives. Furthermore, we examine the practical applicability of the biogas system in the households through a structured survey of 72 ongoing household biogas plants. This study finds that households that have between three and six cattle can potentially meet their cooking and electricity loads through a hybrid implementation of biogas and solar PV (Photovoltaic) system. By replacing conventional fuels households can achieve savings that are more than the total annualized costs incurred for installing new services.

Md. Mizanur Rahman; Mohammad Mahmodul Hasan; Jukka V. Paatero; Risto Lahdelma

2014-01-01T23:59:59.000Z

331

Electric Currents Electric Current  

E-Print Network [OSTI]

coefficient of resistivity Electric Power: = = = Also, = . So, = = 2 = 2 Unit of Power(P): Watt (WChapter 18 Electric Currents #12;Electric Current: Flow of electric charge Current is flow of positive charge. In reality it's the electron moves in solids- Electron current. #12;Ohm's Law : Resistance

Yu, Jaehoon

332

WEEE and portable batteries in residual household waste: Quantification and characterisation of misplaced waste  

SciTech Connect (OSTI)

Highlights: • We analyse 26.1 Mg of residual waste from 3129 Danish households. • We quantify and characterise misplaced WEEE and portable batteries. • We compare misplaced WEEE and batteries to collection through dedicated schemes. • Characterisation showed that primarily small WEEE and light sources are misplaced. • Significant amounts of misplaced batteries were discarded as built-in WEEE. - Abstract: A total of 26.1 Mg of residual waste from 3129 households in 12 Danish municipalities was analysed and revealed that 89.6 kg of Waste Electrical and Electronic Equipment (WEEE), 11 kg of batteries, 2.2 kg of toners and 16 kg of cables had been wrongfully discarded. This corresponds to a Danish household discarding 29 g of WEEE (7 items per year), 4 g of batteries (9 batteries per year), 1 g of toners and 7 g of unidentifiable cables on average per week, constituting 0.34% (w/w), 0.04% (w/w), 0.01% (w/w) and 0.09% (w/w), respectively, of residual waste. The study also found that misplaced WEEE and batteries in the residual waste constituted 16% and 39%, respectively, of what is being collected properly through the dedicated special waste collection schemes. This shows that a large amount of batteries are being discarded with the residual waste, whereas WEEE seems to be collected relatively successfully through the dedicated special waste collection schemes. Characterisation of the misplaced batteries showed that 20% (w/w) of the discarded batteries were discarded as part of WEEE (built-in). Primarily alkaline batteries, carbon zinc batteries and alkaline button cell batteries were found to be discarded with the residual household waste. Characterisation of WEEE showed that primarily small WEEE (WEEE directive categories 2, 5a, 6, 7 and 9) and light sources (WEEE directive category 5b) were misplaced. Electric tooth brushes, watches, clocks, headphones, flashlights, bicycle lights, and cables were items most frequently found. It is recommended that these findings are taken into account when designing new or improving existing special waste collection schemes. Improving the collection of WEEE is also recommended as one way to also improve the collection of batteries due to the large fraction of batteries found as built-in. The findings in this study were comparable to other western European studies, suggesting that the recommendations made in this study could apply to other western European countries as well.

Bigum, Marianne, E-mail: mkkb@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark); Petersen, Claus, E-mail: claus_petersen@econet.dk [Econet A/S, Strandboulevarden 122, 5, 2100 København Ø (Denmark); Christensen, Thomas H., E-mail: thho@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark); Scheutz, Charlotte, E-mail: chas@env.dtu.dk [Technical University of Denmark, Department of Environmental Engineering, Miljøvej 113, 2500 Kgs. Lyngby (Denmark)

2013-11-15T23:59:59.000Z

333

Macrocyclic-, polycyclic-, and nitro musks in cosmetics, household commodities and indoor dusts collected from Japan: Implications for their human exposure  

Science Journals Connector (OSTI)

Abstract This paper reported the occurrence and concentrations of macrocyclic-, polycyclic- and nitro musks in cosmetics and household commodities collected from Japan. The high concentrations and detection frequencies of Musk T, habanolide, and exaltolides were found in commercial products, suggesting their large amounts of production and usage in Japan. Polycyclic musks, HHCB and OTNE, also showed high concentrations in cosmetics and products. The estimated dairy intakes of Musk T and HHCB by the dermal exposure to commercial products were 7.8 and 7.9 ?g/kg/day in human, respectively, and perfume and body lotion are dominant exposure sources. We also analyzed synthetic musks in house dusts. Polycyclic musks, HHCB and OTNE, showed high concentrations in samples, but macrocyclic musks were detected only in a few samples, although these types of musks were highly detected in commercial products. This is probably due to easy-degradation of macrocyclic musks in indoor environment. The dairy intakes of HHCB by dust ingestions were 0.22 ng/kg/day in human, which were approximately five orders of magnitudes lower than those of dermal absorption from commercial household commodities.

Haruhiko Nakata; Mari Hinosaka; Hayato Yanagimoto

2015-01-01T23:59:59.000Z

334

USAGE: a web-based approach towards the analysis of SAGE data  

Science Journals Connector (OSTI)

... Oxford University Press 2000 Original Paper USAGE: a web-based approach towards the analysis of...an application was not available we developed the USAGE package. Results: USAGE is a web-based application that comprises an integrated......

A. H. C. van Kampen; B. D. C. van Schaik; E. Pauws; E. M. C. Michiels; J. M. Ruijter; H. N. Caron; R. Versteeg; S. H. Heisterkamp; J. A. M. Leunissen; F. Baas; M. van der Mee

2000-10-01T23:59:59.000Z

335

Data and analysis on energy usage included: Taking readings on energy each minute  

E-Print Network [OSTI]

Appendix B Data and analysis on energy usage included: § Taking readings on energy each minute § 14 usage at the schools we monitored. The usage is compared to the PIER target, Title 24, and Ashrae 90

336

The long tail: a usage analysis of pre-1993 print biomedical journal literature  

E-Print Network [OSTI]

volumes, will likely require usage studies and the knowledgeThe long tail: a usage analysis of pre-1993 print biomedicalThe research analyzes usage of a major biomedical library’s

Starr, Susan S.; Williams, Jeff

2008-01-01T23:59:59.000Z

337

Rituals of Jouissance in Annie Ernaux’s L’Usage de la Photo  

E-Print Network [OSTI]

Art Moyen: Essai sur les usages sociaux de la photographie.Jouissance in Annie Ernaux's L’Usage de la photo Desire is aof her most recent book, L’Usage de la photo, [Slide 1

Van Arsdall, Lauren

2014-01-01T23:59:59.000Z

338

Video game console usage and national energy consumption: Results from a field-metering study  

E-Print Network [OSTI]

Video game console usage and national energy consumption:data, consoles with non-zero usage are actively used (forthat this estimate of active usage is far lower than our

Desroches, Louis-Benoit

2013-01-01T23:59:59.000Z

339

The role of input revisited: Nativist versus usage-based models  

E-Print Network [OSTI]

215-221. Bybee, J. (2008). Usage-based grammar and secondchildren not understand? A usage-based account of multiwordlanguage acquisition from a usage-based perspective. In P.

Zyzik, Eve

2009-01-01T23:59:59.000Z

340

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

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

Golob, Thomas F; Brownstone, David

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Rituals of Jouissance in Annie Ernaux’s L’Usage de la Photo  

E-Print Network [OSTI]

Ernaux's L’Usage de la photo Desire is a central concern inrecent book, L’Usage de la photo, [Slide 1] suggests much ofmade love. But L’Usage de la photo is not exclusively about

Van Arsdall, Lauren

2014-01-01T23:59:59.000Z

342

POWER PLANT WATER USAGE AND LOSS STUDY - Final  

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

POWER PLANT WATER USAGE AND LOSS STUDY POWER PLANT WATER USAGE AND LOSS STUDY August 2005 Revised May 2007 Prepared for: The United States Department of Energy National Energy Technology Laboratory DOE Gasification Technology Manager: Gary J. Stiegel DOE Project Manager: James R. Longanbach Project Manager: Michael D. Rutkowski Principal Investigators: Michael G. Klett Norma J. Kuehn Ronald L. Schoff Vladimir Vaysman Jay S. White Power Plant Water Usage and Loss Study i August 2005 TABLE OF CONTENTS TABLE OF CONTENTS ...................................................................................................................... I LIST OF TABLES.............................................................................................................................III

343

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.

344

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

345

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

346

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

347

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

348

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

349

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

350

E-Print Network 3.0 - adjunctive antimetabolite usage Sample...  

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

adjunctive antimetabolite usage Search Powered by Explorit Topic List Advanced Search Sample search results for: adjunctive antimetabolite usage Page: << < 1 2 3 4 5 > >> 1...

351

E-Print Network 3.0 - antimicrobial-usage statistics based Sample...  

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

usage statistics based Search Powered by Explorit Topic List Advanced Search Sample search results for: antimicrobial-usage statistics based Page: << < 1 2 3 4 5 > >> 1 Stakeholder...

352

E-Print Network 3.0 - animal antimicrobial usage Sample Search...  

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

antimicrobial usage Search Powered by Explorit Topic List Advanced Search Sample search results for: animal antimicrobial usage Page: << < 1 2 3 4 5 > >> 1 Stakeholder position...

353

Examining usage and parental regulation of mobile phones and their perceived impact on interpersonal family communication.  

E-Print Network [OSTI]

?? This research investigated perceptions of mobile phone usage with regard to interpersonal communication between family members, perceptions of mobile phone usage between family members… (more)

Peetz-Ballweg, Tricia

2011-01-01T23:59:59.000Z

354

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

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

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

355

Predicting energy usage in a supermarket  

E-Print Network [OSTI]

Figure Plan View of the Store Estimated Contribution of the Electrical Energy Using Systems in the Store. . ??. . 9 Schematic of a Typical Compressor and Refrigeration Case. . . . 13 10. Historical Energy Consumption (kWh) and Demand (k... institutional buildings using site and climate data, building system data and user variations such as occupancy and comfort level. He used the following regression equations to predict energy consumption: Consumption = Po+ Pt*(vl) + P&*(v2) + Pz*(v3) + (4*(v4...

Schrock, Derek Wayne

1989-01-01T23:59:59.000Z

356

Solar energy for heat and electricity: the potential for mitigating climate change  

E-Print Network [OSTI]

Solar energy for heat and electricity: the potential for mitigating climate change Dr N.J. Eki that powers the Earth's climate and ecosystem. Harnessing this energy for hot water and electrical power could electricity. solar hot water systems could be used to supply up to 70% of household hot water in the UK

357

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

358

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

359

Table HC6.9 Home Appliances Characteristics by Number of Household Members, 2005  

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

HC6.9 Home Appliances Characteristics by Number of Household Members, 2005 HC6.9 Home Appliances Characteristics by Number of Household Members, 2005 Total U.S.............................................................. 111.1 30.0 34.8 18.4 15.9 12.0 Cooking Appliances Conventional Ovens Use an Oven.................................................. 109.6 29.5 34.4 18.2 15.7 11.8 1................................................................. 103.3 28.4 32.0 17.3 14.7 11.0 2 or More.................................................... 6.2 1.1 2.5 1.0 0.9 0.8 Do Not Use an Oven...................................... 1.5 0.6 0.4 Q Q Q Most-Used Oven Fuel Electric....................................................... 67.9 18.2 22.5 11.2 9.5 6.5 Natural Gas................................................ 36.4 9.9 10.0 6.1 5.6 4.7 Propane/LPG.............................................

360

Energy Usage Information: Lessons from the Credit Reporting Industry.  

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

Energy Usage Information: Lessons from the Credit Reporting Industry. Energy Usage Information: Lessons from the Credit Reporting Industry. Speaker(s): Philip Henderson Date: October 4, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Janie Page There has been much discussion about the use of customer energy usage information to deliver value, such as with benchmarking tools that compare energy use in a building to a peer set, continuous commissioning services that diagnose faults in building systems, and tools that estimate expected savings from upgrades. A utility can use customer information to deliver these kinds of services to its customers directly, but most utilities today do not enable companies to obtain a customer's energy usage information in a systematic, automated way to deliver services to the customer, even if

Note: This page contains sample records for the topic "household electricity usage" 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

An Assessment of the Adequacy of Sunscreen Usage  

Science Journals Connector (OSTI)

...Radiation Protection Dosimetry Article An Assessment of the Adequacy of Sunscreen Usage G.C. Hart A.L. Wright R.G. Cameron Sunscreens are in widespread use as a form of skin protection against solar ultraviolet......

G.C. Hart; A.L. Wright; R.G. Cameron

2000-09-01T23:59:59.000Z

362

Memory Usage Inference for Object-Oriented Programs  

E-Print Network [OSTI]

We present a type-based approach to statically derive symbolic closed-form formulae that characterize the bounds of heap memory usages of programs written in object-oriented languages. Given a program with size and alias ...

Nguyen, Huu Hai

363

Usages and Implied Terms in the United States  

E-Print Network [OSTI]

The Uniform Commercial Code (“UCC” or “Code”) incorporates commercial practices — course of performance, course of dealing, and usage of trade — into the parties’ agreement, with the aim of “reduc[ing] the gap between law and practice and ... insur...

Drahozal, Christopher R.

2012-09-03T23:59:59.000Z

364

Energy Conservation Through Water Usage Reduction in the Semiconductor Industry  

E-Print Network [OSTI]

ENERGY CONSERVATION THROUGH WATER USAGE REDUCTION IN THE SEMICONDUCTOR INDUSTRY Laura Mendicino Kathy McCormack Sarah Gibson Bob Patton Dana Lyon Jeff Covington Engineer Engineer ESrn Manager Engineer Engineer Engineer Motorola Austin, TX...

Mendicino, L.; McCormack, K.; Gibson, S.; Patton, B.; Lyon, D.; Covington, J.

365

Technology readiness and usage: a global-identity perspective  

Science Journals Connector (OSTI)

Extant research also suggests that consumer values and traits affect technology usage through an interaction effect with perceived ease of use, perceived usefulness and enjoyment (Dabholkar and Bagozzi 2002; Srite

Stanford A. Westjohn; Mark J. Arnold…

2009-09-01T23:59:59.000Z

366

RECS Propane Usage Form_v1 (Draft).xps  

Gasoline and Diesel Fuel Update (EIA)

propane usage for this housing unit between September 2008 and April 2010. Delivery Number Enter the Delivery Date for each delivery 1 2 3 4 5 6 7 8 9 10 Enter the Total Dollar...

367

Commercial Building HVAC Energy Usage in Semi-Tropical Climates  

E-Print Network [OSTI]

requirements for commercial buildings. It is then suggested that this computer program would be valuable in determining the changes one could expect in annual energy usage by varying certain building design parameters. Secondly, a small office building actually...

Worbs, H. E.

1987-01-01T23:59:59.000Z

368

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas  

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

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions October 7, 2013 - 11:46am Addthis YOU ARE HERE: Step 2 As Federal agencies work to identify opportunities for right-sizing the fleet and replacing inefficient vehicles with new, efficient, and/or alternatively fueled models to reduce greenhouse gas (GHG) emissions, they should flag potential mission constraints associated with vehicle usage. This may involve further data collection to understand the mission considerations associated with individual vehicles. For instance, in Figure 1, Vehicle 004 appears to be underutilized, having both a low user-to-vehicle ratio and a relatively low time in use per day. However,

369

The impacts of solar water heating in low-income households on the distribution utility’s active, reactive and apparent power demands  

Science Journals Connector (OSTI)

In Brazilian low-income households, water-heating requirements are typically met by electrical showerheads. On average, 73.1% of all residential units in the country are equipped with these resistance-heating devices, with nominal powers ranging from 3 to 8 kW. This situation imposes a considerable burden on the electricity utility companies, since electrical showerheads typically represent the highest load but the lowest utilization (load factor) in a residential consumer unit. Furthermore, typical utilization times coincide with, and contribute to, the electrical power demand peaks in Brazil, rendering these low-cost, high-power electrical devices a high-cost consumer for the electrical system to cater for. For low-income residential consumers, electricity tariffs are subsidized, and utilities must therefore make a considerable investment in infrastructure for a limited return. In this paper we analyze the impacts of solar water heating in low-income households on the distribution utility active, reactive and apparent power demands. We have monitored a statistically representative group of low-income residences equipped with a compact domestic solar water heater in Florianopolis – Brazil for 1 year. We show that in comparison with identical residential units using electrical showerheads, with the adoption of solar water heating the reductions in the active, reactive and apparent power demands on the distribution utility were 49%, 29% and 49% respectively.

Helena F. Naspolini; Ricardo Rüther

2011-01-01T23:59:59.000Z

370

Reduction of Utility Usage in a Glyphosate Intermediate (GI) Unit  

E-Print Network [OSTI]

Reduction of Utility Usage in a Glyphosate Intermediate (GI) Unit Michael L. Sander Manufacturing Technologist Monsanto Company Luling, Louisiana Plant ABSTRACT The Monsanto Company Luling Plant produces glyphosate intermediate (GI... the Utilities area brainstormed ideas and then implemented them across the units. While all utilities were addressed, the group’s primary focus areas were natural gas, nitrogen, and compressed air. Natural gas usage was reduced 28% by optimizing...

Sander, M. L.

2006-01-01T23:59:59.000Z

371

Measuring and prioritising value of mobile phone usage  

Science Journals Connector (OSTI)

The purpose of this research is to measure and prioritise the value of mobile phone usage using employees' perspectives. The Content analysis method and the Analytic Hierarchy Process (AHP) were adopted to collect and analyse data. According ... Keywords: AHP, analytical hierarchy process, cell phones, content analysis, convenience, customer value, m-commerce, mobile commerce, mobile communications, mobile phone usage, mobile phone users, mobile phones, mobile services

Chung-Chu Liu

2010-12-01T23:59:59.000Z

372

file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-3a_  

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

3a. Usage Indicators by Household Income, 3a. Usage Indicators by Household Income, Million U.S. Households, 2001 ___________________________________________________________________________________________________________ | | | | | | | 2001 Household Income | | Eli- | | | | | gible | | |___________________________________| | for | | | | | | | | Fed- |

373

A Dynamic Energy Budget (DEB) model for the energy usage and reproduction of the Icelandic capelin (Mallotus villosus)  

E-Print Network [OSTI]

DEB) model for the energy usage and reproduction of theto capture the growth, energy usage, and roe production of

Einarsson, Baldvin; Birnir, Bjorn; Sigurðsson, Sven Þ.

2010-01-01T23:59:59.000Z

374

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

375

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...

376

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

377

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

378

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...

379

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...

380

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...

Note: This page contains sample records for the topic "household electricity usage" 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

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

382

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

383

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

SciTech Connect (OSTI)

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

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

1984-10-01T23:59:59.000Z

384

Advances in Household Appliances- A Review  

SciTech Connect (OSTI)

An overview of options and potential barriers and risks for reducing the energy consumption, peak demand, and emissions for seven key energy consuming residential products (refrigerator-freezers, dishwashers, clothes washers, clothes dryers, electric ovens, gas ovens and microwave ovens) is presented. The paper primarily concentrates on the potential energy savings from the use of advanced technologies in appliances for the U.S. market. The significance and usefulness of each technology was evaluated in order to prioritize the R&D needs to improve energy efficiency of appliances in view of energy savings, cost, and complexity. The paper provides a snapshot of the future R&D needs for each of the technologies along with the associated barriers. Although significant energy savings may be achieved, one of the major barriers in most cases is high first cost. One way of addressing this issue and promoting the introduction of new technologies is to level the playing field for all manufacturers by establishing Minimum Energy Performance Standards (MEPS) which are not cost prohibitive and promoting energy efficient products through incentives to both manufacturers and consumers.

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

2011-01-01T23:59:59.000Z

385

Solar electricity-a low power technology  

Science Journals Connector (OSTI)

The author examines the future potential of solar power with regard to its applications. He suggests that although the large size and small power output of solar cell electric systems are obstacles to high power usage, realistic low power applications can make a valuable contribution to world energy needs

L.B. Harris

1982-01-01T23:59:59.000Z

386

\\\\files.umn.edu\\DRS\\Shared\\Departmental Information\\Policies and Procedures Fitness Center Usage  

E-Print Network [OSTI]

Center Usage University Recreation and Wellness, and more specifically the Fitness program, has very

Amin, S. Massoud

387

A life cycle approach to the management of household food waste - A Swedish full-scale case study  

SciTech Connect (OSTI)

Research Highlights: > The comparison of three different methods for management of household food waste show that anaerobic digestion provides greater environmental benefits in relation to global warming potential, acidification and ozone depilation compared to incineration and composting of food waste. Use of produced biogas as car fuel provides larger environmental benefits compared to a use of biogas for heat and power production. > The use of produced digestate from the anaerobic digestion as substitution for chemical fertilizer on farmland provides avoidance of environmental burdens in the same ratio as the substitution of fossil fuels with produced biogas. > Sensitivity analyses show that results are highly sensitive to assumptions regarding the environmental burdens connected to heat and energy supposedly substituted by the waste treatment. - Abstract: Environmental impacts from incineration, decentralised composting and centralised anaerobic digestion of solid organic household waste are compared using the EASEWASTE LCA-tool. The comparison is based on a full scale case study in southern Sweden and used input-data related to aspects such as source-separation behaviour, transport distances, etc. are site-specific. Results show that biological treatment methods - both anaerobic and aerobic, result in net avoidance of GHG-emissions, but give a larger contribution both to nutrient enrichment and acidification when compared to incineration. Results are to a high degree dependent on energy substitution and emissions during biological processes. It was seen that if it is assumed that produced biogas substitute electricity based on Danish coal power, this is preferable before use of biogas as car fuel. Use of biogas for Danish electricity substitution was also determined to be more beneficial compared to incineration of organic household waste. This is a result mainly of the use of plastic bags in the incineration alternative (compared to paper bags in the anaerobic) and the use of biofertiliser (digestate) from anaerobic treatment as substitution of chemical fertilisers used in an incineration alternative. Net impact related to GWP from the management chain varies from a contribution of 2.6 kg CO{sub 2}-eq/household and year if incineration is utilised, to an avoidance of 5.6 kg CO{sub 2}-eq/household and year if choosing anaerobic digestion and using produced biogas as car fuel. Impacts are often dependent on processes allocated far from the control of local decision-makers, indicating the importance of a holistic approach and extended collaboration between agents in the waste management chain.

Bernstad, A., E-mail: anna.bernstad@chemeng.lth.se [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden); Cour Jansen, J. la [Department of Chemical Engineering, Box 124, Faculty of Engineering (LTH), Lund University, S-221 00 Lund (Sweden)

2011-08-15T23:59:59.000Z

388

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.

389

Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Rate |  

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

Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Rate Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Rate < Back Eligibility Commercial Residential Savings Category Solar Buying & Making Electricity Wind Maximum Rebate Payment limited to 25% of customers monthly kWh usage Program Info State Iowa Program Type Performance-Based Incentive Rebate Amount $0.20/kWh Provider Farmers Electric Cooperative Farmers Electric Cooperative offers a production incentive to members that install qualifying wind and solar electricity generating systems. Qualifying grid-tied solar and wind energy systems are eligible for a $0.20 per kilowatt-hour (kWh) production incentive for up to 10 years for energy production that offsets up to 25% of monthly energy usage.

390

2011 Radioactive Materials Usage Survey for Unmonitored Point Sources  

SciTech Connect (OSTI)

This report provides the results of the 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources (RMUS), which was updated by the Environmental Protection (ENV) Division's Environmental Stewardship (ES) at Los Alamos National Laboratory (LANL). ES classifies LANL emission sources into one of four Tiers, based on the potential effective dose equivalent (PEDE) calculated for each point source. Detailed descriptions of these tiers are provided in Section 3. The usage survey is conducted annually; in odd-numbered years the survey addresses all monitored and unmonitored point sources and in even-numbered years it addresses all Tier III and various selected other sources. This graded approach was designed to ensure that the appropriate emphasis is placed on point sources that have higher potential emissions to the environment. For calendar year (CY) 2011, ES has divided the usage survey into two distinct reports, one covering the monitored point sources (to be completed later this year) and this report covering all unmonitored point sources. This usage survey includes the following release points: (1) all unmonitored sources identified in the 2010 usage survey, (2) any new release points identified through the new project review (NPR) process, and (3) other release points as designated by the Rad-NESHAP Team Leader. Data for all unmonitored point sources at LANL is stored in the survey files at ES. LANL uses this survey data to help demonstrate compliance with Clean Air Act radioactive air emissions regulations (40 CFR 61, Subpart H). The remainder of this introduction provides a brief description of the information contained in each section. Section 2 of this report describes the methods that were employed for gathering usage survey data and for calculating usage, emissions, and dose for these point sources. It also references the appropriate ES procedures for further information. Section 3 describes the RMUS and explains how the survey results are organized. The RMUS Interview Form with the attached RMUS Process Form(s) provides the radioactive materials survey data by technical area (TA) and building number. The survey data for each release point includes information such as: exhaust stack identification number, room number, radioactive material source type (i.e., potential source or future potential source of air emissions), radionuclide, usage (in curies) and usage basis, physical state (gas, liquid, particulate, solid, or custom), release fraction (from Appendix D to 40 CFR 61, Subpart H), and process descriptions. In addition, the interview form also calculates emissions (in curies), lists mrem/Ci factors, calculates PEDEs, and states the location of the critical receptor for that release point. [The critical receptor is the maximum exposed off-site member of the public, specific to each individual facility.] Each of these data fields is described in this section. The Tier classification of release points, which was first introduced with the 1999 usage survey, is also described in detail in this section. Section 4 includes a brief discussion of the dose estimate methodology, and includes a discussion of several release points of particular interest in the CY 2011 usage survey report. It also includes a table of the calculated PEDEs for each release point at its critical receptor. Section 5 describes ES's approach to Quality Assurance (QA) for the usage survey. Satisfactory completion of the survey requires that team members responsible for Rad-NESHAP (National Emissions Standard for Hazardous Air Pollutants) compliance accurately collect and process several types of information, including radioactive materials usage data, process information, and supporting information. They must also perform and document the QA reviews outlined in Section 5.2.6 (Process Verification and Peer Review) of ES-RN, 'Quality Assurance Project Plan for the Rad-NESHAP Compliance Project' to verify that all information is complete and correct.

Sturgeon, Richard W. [Los Alamos National Laboratory

2012-06-27T23:59:59.000Z

391

MESUR: USAGE-BASED METRICS OF SCHOLARLY IMPACT  

SciTech Connect (OSTI)

The evaluation of scholarly communication items is now largely a matter of expert opinion or metrics derived from citation data. Both approaches can fail to take into account the myriad of factors that shape scholarly impact. Usage data has emerged as a promising complement to existing methods o fassessment but the formal groundwork to reliably and validly apply usage-based metrics of schlolarly impact is lacking. The Andrew W. Mellon Foundation funded MESUR project constitutes a systematic effort to define, validate and cross-validate a range of usage-based metrics of schlolarly impact by creating a semantic model of the scholarly communication process. The constructed model will serve as the basis of a creating a large-scale semantic network that seamlessly relates citation, bibliographic and usage data from a variety of sources. A subsequent program that uses the established semantic network as a reference data set will determine the characteristics and semantics of a variety of usage-based metrics of schlolarly impact. This paper outlines the architecture and methodology adopted by the MESUR project and its future direction.

BOLLEN, JOHAN [Los Alamos National Laboratory; RODRIGUEZ, MARKO A. [Los Alamos National Laboratory; VAN DE SOMPEL, HERBERT [Los Alamos National Laboratory

2007-01-30T23:59:59.000Z

392

Factors affecting the usage of intranet: A confirmatory study  

Science Journals Connector (OSTI)

The extent of intranet implementation and use within individual organizations has significant implications for organizational performance. Previous studies on technology adoption in the workplace suggest that acceptance behavior is influenced by a variety of antecedent factors including individual differences, social influences, beliefs, attitudes, and situational influences. This study reports on an investigation of extended TAM (Technology Acceptance Model) using external factors and subjective norm influencing usage of intranet within organizations. The external factors affecting the perceived ease of use, perceived usefulness, and usage of intranet include technical support, Web experience, task equivocality, and task interdependence. The subjective norm is the mediating variable and external variables indirectly affect usage of intranet indirectly through their effects on subjective norm. Based on a survey of 333 intranet users from 10 major Korean companies, this study uses a structural equation model to test the research model. The results indicate that usage of intranet is influenced by technical support, Web experience, task equivocality, and perceived ease of use. Technical support and Web experience influences the perceived ease of use. Technical support, task equivocality, and task interdependence have positive effects on the subjective norm. Usage of intranet which is a dependent variable in this model, is influenced by technical support, Web experience task interdependence, and perceived ease of use.

Sangjae Lee; Byung Gon Kim

2009-01-01T23:59:59.000Z

393

1. Cooling water is one-third of US water usage Basic approach: (a) estimate power consumption, from which you estimate cooling water usage  

E-Print Network [OSTI]

1. Cooling water is one-third of US water usage Basic approach: (a) estimate power consumption) Water for power consumption I happen to know that total energy usage is roughly 10 kW per person energy usage by a lot. Now we assume that a power plant is 50% efficient. I assumed more than 20%, less

Nimmo, Francis

394

APS Guideline for Hand Tool and Portable Power Tool Usage  

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

Hand Tool and Portable Power Tool Usage Hand Tool and Portable Power Tool Usage Introduction CAT/XSD recognizes that the misuse and improper maintenance of hand tools and portable power tools cause a significant number of injuries to even "experienced" workers. Consequently, CAT/XSD has adopted the following policies and procedures to minimize the hazards associated with the use of such equipment at the APS. These guidelines apply to all use of hand tools and portable power tools by CAT/XSD personnel while performing maintenance or installation activities at the APS. Although CAT/XSD feels that most of the guidelines also apply to tool usage during experimental activities, CAT/XSD will not require that short-term users complete the training described below. Using Tools Safely If you have not had formal training in the use of common tools, either view

395

Ethanol Usage in Urban Public Transportation - Presentation of Results |  

Open Energy Info (EERE)

Ethanol Usage in Urban Public Transportation - Presentation of Results Ethanol Usage in Urban Public Transportation - Presentation of Results Jump to: navigation, search Tool Summary Name: Ethanol Usage in Urban Public Transportation - Presentation of Results Agency/Company /Organization: BioEthanol for Sustainable Transport Focus Area: Fuels & Efficiency Topics: Best Practices Website: cenbio.iee.usp.br/download/publicacoes/SAE_BEST_2010.pdf This paper presents the BioEthanol for Sustainable Transport (BEST) project in Brazil, its partners, and the results from the demonstration tests performed in field, as well as the proposals of public policies that were elaborated and are being implemented. The BEST project was implemented in Sao Paulo as well as eight other cities located in Europe and Asia. How to Use This Tool

396

Application of Electronic Serial Usage Statistics in a National Laboratory  

SciTech Connect (OSTI)

Traditional measures of library performance – walk-in visitors, number of users attending presentations, classes, number of individual subscriptions processed, etc. – do not reflect the increased activity and use of library products and services. The Hanford Technical Library is physically removed from the main campus of Pacific Northwest National Laboratory, and thus necessitates having a robust online presence in order to effectively reach and provide services to library users. Online usage statistics have become vital in convincing Laboratory management to invest funding the library at continuing or increasing levels of demand for library services. E-serial usage statistics in particular give the Hanford Technical Library a myriad of information on user behavior, research trends, collection development, and act as important analytical tools which support resource allocation analysis, reporting, and managerial decision-making. However, there are many problems with publisher and vendor supplied usage statistics and possible solutions are proposed.

Noonan, Christine F.; McBurney, Melissa K.

2007-08-27T23:59:59.000Z

397

Mining Software Usage with the Automatic Library Tracking Database (ALTD)  

SciTech Connect (OSTI)

Tracking software usage is important for HPC centers, computer vendors, code developers and funding agencies to provide more efficient and targeted software support, and to forecast needs and guide HPC software effort towards the Exascale era. However, accurately tracking software usage on HPC systems has been a challenging task. In this paper, we present a tool called Automatic Library Tracking Database (ALTD) that has been developed and put in production on several Cray systems. The ALTD infrastructure prototype automatically and transparently stores information about libraries linked into an application at compilation time and also the executables launched in a batch job. We will illustrate the usage of libraries, compilers and third party software applications on a system managed by the National Institute for Computational Sciences.

Hadri, Bilel [ORNL; Fahey, Mark R [ORNL

2013-01-01T23:59:59.000Z

398

Commercial Building Tenant Energy Usage Aggregation and Privacy  

SciTech Connect (OSTI)

A growing number of building owners are benchmarking their building energy use. This requires the building owner to acquire monthly whole-building energy usage information, which can be challenging for buildings in which individual tenants have their own utility meters and accounts with the utility. Some utilities and utility regulators have turned to aggregation of customer energy use data (CEUD) as a way to give building owners whole-building energy usage data while protecting customer privacy. Meter profile aggregation adds a layer of protection that decreases the risk of revealing CEUD as the number of meters aggregated increases. The report statistically characterizes the similarity between individual energy usage patterns and whole-building totals at various levels of meter aggregation.

Livingston, Olga V.; Pulsipher, Trenton C.; Anderson, David M.; Wang, Na

2014-10-31T23:59:59.000Z

399

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

400

Impact of Industrial Electric Rate Structure on Energy Conservation - A Utility Viewpiont  

E-Print Network [OSTI]

As the price of energy rises, changes in industrial electric rates will have an impact on energy usage and conservation. Utilities interested in reducing system peak demands may reflect this need in the rate structure as an incentive...

Williams, M. M.

1981-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Lakeland Electric - Residential Conservation Rebate Program | Department of  

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

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

402

Solar Electric Light Fund | Open Energy Information  

Open Energy Info (EERE)

Solar Electric Light Fund Solar Electric Light Fund Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Electric Light Fund Agency/Company /Organization: Solar Electric Light Fund Sector: Energy Focus Area: Solar Phase: Create Early Successes Resource Type: Publications, Training materials Website: www.self.org/ Locality: US, Africa, Asia, Latin America Cost: Free The mission of the Solar Electric Light Fund (SELF) is to empower people in developing countries to rise from poverty using energy from the sun. What We Do The Solar Electric Light Fund (SELF) has been working in the field of renewable energy, household energy and decentralized rural electrification for over 18 years. We have a proven track record of managing complex, multi-disciplinary international projects and have worked on renewable

403

Electronic government return assessment by measuring information system usage  

Science Journals Connector (OSTI)

This study attempted to assess the impact of electronic government on back office functions. Information system usage and a multi-level framework are proposed as a measure for back office functions. The study is applied to the Kuwaiti e-government project. The study's findings indicate no significant impact on the back office. However, using the framework and information system usage measure has provided a multi-dimensional picture of the status of the e-government project. Management and research implications of the study's findings are presented.

Helaiel Almutairi

2010-01-01T23:59:59.000Z

404

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

405

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

406

RECS Data Show Decreased Energy Consumption per Household  

Reports and Publications (EIA)

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

2012-01-01T23:59:59.000Z

407

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.

408

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

409

Ozark Border Electric Coop | Open Energy Information  

Open Energy Info (EERE)

Ozark Border Electric Coop Ozark Border Electric Coop Jump to: navigation, search Name Ozark Border Electric Coop Place Missouri Utility Id 14285 Utility Location Yes Ownership C NERC Location SERC NERC SERC 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/Small Power Multi-Phase Commercial Commercial/Small Power Single-Phase Commercial Industrial/Large Power Multi-Phase (Schedule 31) Industrial Industrial/Large Power Multi-Phase (Schedule 63) Industrial Irrigation Service - Summer Use Commercial Irrigation Service -Winter Usage Commercial Irrigation Service Off-Peak (Schedule 40)-Summer Usage Commercial

410

Some Basic WebAssign Usage for Students  

E-Print Network [OSTI]

Some Basic WebAssign Usage for Students Department of Mathematics Purdue University Fall 2012 #12;Useful Web-Sites For student login: http://www.webassign.net/purdue/login.html use your Purdue Career Account information. (The web-site: http://www.webassign.net/ is for instructors' use, not for students

Brown, Johnny E.

411

Some Basic WebAssign Usage for Students  

E-Print Network [OSTI]

Some Basic WebAssign Usage for Students Department of Mathematics Purdue University Fall 2011 #12;Useful Web-Sites For student login: http://www.webassign.net/purdue/login.html use your Purdue Career Account information. (The web-site: http://www.webassign.net/ is for instructors' use, not for students

Cai, Zhiqiang

412

Cryptographic Link Signatures for Spectrum Usage Authentication in Cognitive Radio  

E-Print Network [OSTI]

Cryptographic Link Signatures for Spectrum Usage Authentication in Cognitive Radio Xi Tan, Kapil frequency spectrum was inefficiently utilized. To fully use these spectrums, cognitive radio networks have of cognitive radio is to enable the current fixed spectrum channels assigned by Federal Communica- tions

Du, Wenliang "Kevin"

413

Fuel bundle design for enhanced usage of plutonium fuel  

DOE Patents [OSTI]

A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced.

Reese, Anthony P. (San Jose, CA); Stachowski, Russell E. (Fremont, CA)

1995-01-01T23:59:59.000Z

414

Usage Control in Service-Oriented Architectures Alexander Pretschner1  

E-Print Network [OSTI]

to the present and the past. More recent work has extended the concept to usage control (UC for short; [4 appropriate than enforcement by direct control over the service provider's actions, and present a logical architectures. 1 Introduction The past few years have seen major technological and business trends

Massacci, Fabio

415

Access to and Usage of Offshore Liberty Ship  

E-Print Network [OSTI]

Access to and Usage of Offshore Liberty Ship Reefs in Texas ROBERT B. DITTON, ALAN R. GRAEFE to establish cover and habitat for fisheries. Offshore artificial reef con- struction began in 1935 led many other states to become interested in deploying offshore artificial reefs. The first reef

416

Security Implications of Typical Grid Computing Usage Scenarios Marty Humphrey  

E-Print Network [OSTI]

Security Implications of Typical Grid Computing Usage Scenarios Marty Humphrey Computer Science. A broader goal of these scenarios are to increase the awareness of security issues in Grid Computing. 1 easy and secure ac- cess to the Grid's diverse resources. Infrastructure software such as Legion [6

Thompson, Mary R.

417

Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns  

E-Print Network [OSTI]

Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns Edwin O of two prediction algorithms, thus demonstrating multiple uses for a home automation system. Finally, we Several research efforts are focused on home automation. The Intelligent Room [2] uses an array of sensors

Cook, Diane J.

418

Energy Usage Attitudes of Urban India IBM Research India  

E-Print Network [OSTI]

Energy Usage Attitudes of Urban India Mohit Jain IBM Research India mohitjain@in.ibm.com Deepika@cs.cmu.edu Amarjeet Singh IIIT Delhi, India amarjeet@iiitd.ac.in Abstract-- Though rapid increase in energy factors affecting energy consumption in urban India. However, the small numbers of participants in those

Toronto, University of

419

Determine Vehicle Usage and Refueling Trends to Minimize Greenhouse Gas  

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

Vehicle Usage and Refueling Trends to Minimize Greenhouse Vehicle Usage and Refueling Trends to Minimize Greenhouse Gas Emissions Determine Vehicle Usage and Refueling Trends to Minimize Greenhouse Gas Emissions October 7, 2013 - 11:42am Addthis YOU ARE HERE Step 2 Once a Federal agency has identified its most important mobile greenhouse gas (GHG) emission sources overall, it can work with individual sites to determine vehicle usage and refueling trends. Agencies can compare the results of this analysis to internal standards and requirements to identify GHG mitigation opportunities for assets that are underperforming or underutilized. Two examples of this type of analysis focus on: Alternative fuel consumption Vehicle utilization. Figure 1 - An image of a vertical, stacked bar chart titled 'Alternative Fuel Use in AFVs.' The frequency data axis is labeled 'Gallons of Gasoline Equivalent' with a scale of 0-1,400,000 in increments of 200,000. The stacked bar labeled 'CNG Dual Fuel Vehicles' shows CNG from 0-300,000 gallons and Gasoline from 300,000-800,000 gallons. The stacked bar labeled 'E-85 Flex Fuel Vehicles' shows E85 from 0-1,000,000 gallons and Gasoline from 1,000,000-1,250,000 gallons.

420

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

SciTech Connect (OSTI)

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

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

1988-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

The effect of tree shade on home summer electrical consumption  

E-Print Network [OSTI]

the months and years of the study. 44 Average daily mean temperatures and associated mean total and basal energy consumptions for the months and years of the study period. 46 Average April through October electrical usage per square foot of home area... the months and years of the study. 44 Average daily mean temperatures and associated mean total and basal energy consumptions for the months and years of the study period. 46 Average April through October electrical usage per square foot of home area...

Rudie, Raymond Joseph

2012-06-07T23:59:59.000Z

422

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:

423

"Table HC10.10 Home Appliances Usage Indicators by U.S. Census...  

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

0 Home Appliances Usage Indicators by U.S. Census Regions, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Home Appliances Usage...

424

Towards sustainable material usage : time-dependent evaluation of upgrading technologies for recycling  

E-Print Network [OSTI]

As consumption in the US grows, so does concern about sustainable materials usage. Increasing recycling is a key component within a broad arsenal of strategies for moving towards sustainable materials usage. There are many ...

Gaustad, Gabrielle G

2009-01-01T23:59:59.000Z

425

SciTech Connect: Water Usage for In-Situ Oil Shale Retorting...  

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

Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics Model Citation Details In-Document Search Title: Water Usage for In-Situ Oil Shale Retorting - A Systems Dynamics...

426

Energy Department Announces $4.5 Million to Expand Usage of Alternativ...  

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

4.5 Million to Expand Usage of Alternative Fuels Energy Department Announces 4.5 Million to Expand Usage of Alternative Fuels July 16, 2014 - 11:00am Addthis In support of...

427

Jefferson Lab's Education web site hits new high-usage record...  

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

Jefferson Lab's Education web site hits new high-usage record during 2003 SOL season April 2, 2003 Jefferson Lab's Science Education web site is hitting new highs in usage - on a...

428

Jefferson Lab's Education Web Site Hits New High-Usage Record...  

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

Lab's Education Web Site Hits New High-Usage Record April 22, 2002 Jefferson Lab's Science Education web site hit a new high in usage yesterday. In a 24-hour-period nearly 125,000...

429

Electricity Reliability  

E-Print Network [OSTI]

Electricity Delivery and Energy Reliability High Temperature Superconductivity (HTS) Visualization in the future because they have virtually no resistance to electric current, offering the possibility of new electric power equipment with more energy efficiency and higher capacity than today's systems

430

End-users' experiences with electricity supply from stand-alone mini-grid solar PV power stations in rural areas of western China  

Science Journals Connector (OSTI)

Abstract The aim of this study is to understand electricity supply from stand-alone mini-grid solar PV power stations in remote rural areas of western China from the perspective of ‘end-users’ including: their satisfaction, evaluation of sufficiency of electricity supply, positive experiences, negative experiences, behaviors, and needs. The methodology used for this study adopts the approach of an in-depth case study with field research. Two townships, Saierlong Township in Qinghai Province and Namcuo Township in Tibet Autonomous Region (AR), were selected for the case studies. The methods for collecting data are interviews and household surveys in the field. Based on end-users' experiences, the households in both investigated townships were not satisfied with the electricity service. The main concerns were the insufficiency of electricity supply and unreliable electricity service. The insufficiency of the electricity supply was due to lack of information about local household electricity needs. As for the issue of unreliable electricity service, electricity was not regularly supplied on a daily basis. The duration of daily electricity supply was also not stable. The households were unable to predict the starting and ending times of daily electricity supply. Hence, when planning rural electrification with stand-alone mini-grid solar PV power stations, end-users' electricity demand approach should be taken into consideration, instead of only electricity supply approach.

Chian-Woei Shyu

2013-01-01T23:59:59.000Z

431

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

432

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

433

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

434

Usage of Modern Exponential-Smoothing Models in Network Traffic Modelling  

Science Journals Connector (OSTI)

The article summarized current state of our works regarding usage of exponential smoothing Holt-Winters’ based models for analysis,...

Roman Jašek; Anna Szmit; Maciej Szmit

2013-01-01T23:59:59.000Z

435

Detangling the impacts of age, residential locations and household lifecycle in car usage and ownership in the Osaka metropolitan area, Japan  

Science Journals Connector (OSTI)

Using large cross-sectional datasets that were collected in the Osaka metropolitan area (OMA), Japan, this study systematically analyzes the structural changes ... is developed for individuals that considers age,...

Yi-lin Sun; Yusak O. Susilo; E. Owen D. Waygood…

2014-07-01T23:59:59.000Z

436

Electrical insulation  

Science Journals Connector (OSTI)

n....Material with very low conductivity, which surrounds active electrical devices. Common electrical insulation chemicals are fluorine-containing polymers.

2007-01-01T23:59:59.000Z

437

Electrical Insulation  

Science Journals Connector (OSTI)

n...Material with very low conductivity which surrounds active electrical devices. Common electrical insulation chemicals are fluorine-containing polymers (Dissado LA...

Jan W. Gooch

2011-01-01T23:59:59.000Z

438

What can Captive Whales tell us About their Wild Counterparts? Identification, Usage, and Ontogeny of Contact Calls in Belugas (Delphinapterus leucas)  

E-Print Network [OSTI]

G. (2009). Contact call usage in a wild beluga population:Counterparts? Identification, Usage, and Ontogeny of Contactpredictions about the usage of these signals by wild

Vergara, Valeria; Michaud, Robert; Barrett-Lennard, Lance

2010-01-01T23:59:59.000Z

439

Control of household refrigerators. Part 2: Alternate control approaches for improving temperature performance and reducing energy use  

SciTech Connect (OSTI)

In Part 1 it was shown that conventional control of household refrigerators is achieved by regulating the distribution of air in the freezer compartment to all other parts of the plant. In Part 2 three alternative approaches to the conventional control of a top-mount refrigerator are presented: variable temperature bandwidths, uncoupled compressor and evaporator fan, and the combination of these two. These allowed the plant to achieve near-ideal control with respect to improved temperature performance in each compartment. Automatic airflow dampers were used with the dual controllers to independently regulate refrigerator compartment temperature. Plant performance was simulated using a model that computes the refrigerant and airflow systems behavior. Together, these alternate configurations and approaches define new control algorithms that reveal the plant's optimal control model for improving performance and energy usage relative to conventional controllers. Results based on model simulations are dependent upon the model's accuracy and validity. However, the model validation studies cited here, though limited in scope, do show agreement between simulation and experimental data for the ambient temperatures and thermal load conditions considered. This suggests that these model results are reasonable, and representative of actual plant behavior under these conditions and configurations for a top-mount style refrigerator plant.

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

1999-07-01T23:59:59.000Z

440

Demographic and Psychosocial Correlates of Mobile Phone Ownership and Usage among Youth Living in the Slums of Kampala, Uganda  

E-Print Network [OSTI]

J, et al. Cell phone usage among adolescents in Uganda:Mobile Phone Ownership and Usage among Youth Living in themobile phone ownership and usage. [West J Emerg Med. 2014;

Swahn, Monica H; Braunstein, Sarah; Kasirye, Rogers

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Latent Class Models in action: Bridging social capital & Internet usage  

Science Journals Connector (OSTI)

Abstract This paper explores how Latent Class Models (LCM) can be applied in social research, when the basic assumptions of regression models cannot be validated. We examine the usefulness of this method with data collected from a study on the relationship between bridging social capital and the Internet. Social capital is defined here as the resources that are potentially available in one’s social ties. Bridging is a dimension of social capital, usually related to weak ties (acquaintances), and a source of instrumental resources such as information. The study surveyed a stratified random sample of 417 inhabitants of Lisbon, Portugal. We used LCM to create the variable bridging social capital, but also to estimate the relationship between bridging social capital and Internet usage when we encountered convergence problems with the logistic regression analysis. We conclude by showing a positive relationship between bridging and Internet usage, and by discussing the potential of LCM for social science research.

Barbara Barbosa Neves; Jaime R.S. Fonseca

2015-01-01T23:59:59.000Z

442

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

443

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

444

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

445

Selective Usage of D-Type Cyclins by Ewing’s Tumors and Rhabdomyosarcomas  

Science Journals Connector (OSTI)

...Immunoglobulin Heavy Chain Variable Gene Usage and (Super)-antigen Drive in Chronic...chain variable 3-23 (IGHV3-23) gene usage in chronic lymphocytic leukemia (CLL...of CLL and reports that IGHV3-23 gene usage may have prognostic value independent of...

Jingsong Zhang; Siwen Hu; Deborah E. Schofield; Poul H. B. Sorensen; Timothy J. Triche

2004-09-01T23:59:59.000Z

446

HIV Co-receptor Usage in HIV-related Non-Hodgkin's Lymphoma  

E-Print Network [OSTI]

Access HIV Co-receptor usage in HIV-related non- hodgkin’stested for HIV co- receptor usage and SDF1 3’A polymorphism.CXCR4 and 8 (88.9%) with CCR5 usage, even though most of the

Reid, Erin; Morris, Sheldon R

2012-01-01T23:59:59.000Z

447

Patterns of Protein-Fold Usage in Eight Microbial Genomes: A Comprehensive Structural Census  

E-Print Network [OSTI]

Patterns of Protein-Fold Usage in Eight Microbial Genomes: A Comprehensive Structural Census Mark in terms of patterns of fold usage--whether a given fold occurs in a particular organism. Of the 340 be analyzed through trans- membrane-helix (TM) prediction. All the genomes appear to have similar usage

Gerstein, Mark

448

American Society of Mammalogists Time-Tables in Home Range Usage by Gray Squirrels (Sciurus carolinensis)  

E-Print Network [OSTI]

American Society of Mammalogists Time-Tables in Home Range Usage by Gray Squirrels (Sciurus to Journal of Mammalogy. http://www.jstor.org #12;GENERAL NOTES TIME-TABLESIN HOME RANGE USAGE reportthat free-ranginggray squirrels (Sciurus carolinensis) follow time-tables in usage of their home ranges

Minnesota, University of

449

The Comparison of Usage and Availability Measurements for Evaluating Resource Douglas H. Johnson  

E-Print Network [OSTI]

The Comparison of Usage and Availability Measurements for Evaluating Resource Preference Douglas H~etyof Amenca THE COMPARISON OF USAGE AND AVAILABILITY MEASUREMENTS FOR EVALUATING RESOURCE PREFERENCE1(~n~~.sto\\t.t~,North Dakoto 58401 USA Ah.\\rrclct. Modern ecological research often involves the comparison of the usage

Steury, Todd D.

450

Experimental evidence that migrants adjust usage at a stopover site to trade off  

E-Print Network [OSTI]

Experimental evidence that migrants adjust usage at a stopover site to trade off food and danger experimentally manipulated danger by adding obstruc- tive cover and measured sandpiper usage along this gradient. We compared sandpiper usage along a transect extending 100 m on either side of the obstruction

451

University of California, San Francisco | Public Affairs | Editorial Style Guide Terminology and Usage universityofcalifornia,sanfrancisco  

E-Print Network [OSTI]

and Usage universityofcalifornia,sanfrancisco 03 | 2007 Editorial Style Guide University Publications UCSF providing news and information for campus and community audiences. Here, you'll find some tips on usage' sake. The guide is designed to supplement basic usage as found in the Associated Press Stylebook

Derisi, Joseph

452

Comparison of Correspondence Analysis Methods for Synonymous Codon Usage in Bacteria  

E-Print Network [OSTI]

Comparison of Correspondence Analysis Methods for Synonymous Codon Usage in Bacteria Haruo SUZUKI 21 June 2008; accepted 24 September 2008) Abstract Synonymous codon usage varies both between sources of variation in synonymous codon usage among genes and provides a way to identify horizontally

Forney, Larry J.

453

Improving reviews of conceptual models by extended traceability to captured system usage  

Science Journals Connector (OSTI)

......extended traceability to captured system usage P. Haumer a * M. Jarke a c K. Pohl b...elicited by analysing concrete system-usage scenarios [Pohl, K., Weidenhaupt...understand the basis (concrete system usage) on which the conceptual models were built......

P. Haumer; M. Jarke; K. Pohl; K. Weidenhaupt

2000-09-01T23:59:59.000Z

454

Appendix E: Usage Agreement CAPS -ARPS Version 4.0 363  

E-Print Network [OSTI]

Appendix E: Usage Agreement CAPS - ARPS Version 4.0 363 Signing of this agreement is no longer NO #12;Appendix E: Usage Agreement CAPS - ARPS Version 4.0 364 2. Conditions The organization in (1 Usage On behalf of ____________________________________________

Droegemeier, Kelvin K.

455

Empirical Evidence of Large-Scale Diversity in API Usage of Object-Oriented Software  

E-Print Network [OSTI]

Empirical Evidence of Large-Scale Diversity in API Usage of Object-Oriented Software Diego Mendez. This is not an exception, our experiment provides us with empirical evidence that a large scale diversity exists in "API usage"1 . 1We use the term "API usage" to reuse the same term as close work [5]. In this case, "API

Paris-Sud XI, Université de

456

Mining Succinct and High-Coverage API Usage Patterns from Source Code  

E-Print Network [OSTI]

Mining Succinct and High-Coverage API Usage Patterns from Source Code Jue Wang�* , Yingnong Dang (API) methods. However, these usage patterns are often not well documented. To help developers to get such usage patterns, there are approaches proposed to mine client code of the API methods. However, they lack

Xie, Tao

457

ExPort: Detecting and Visualizing API Usages in Large Source Code Repositories  

E-Print Network [OSTI]

ExPort: Detecting and Visualizing API Usages in Large Source Code Repositories Evan Moritz1, Mario a technique for automatically mining and visualizing API usage examples. In contrast to previous approaches, our technique is capable of finding examples of API usage that occur across several functions

Poshyvanyk, Denys

458

Fuel bundle design for enhanced usage of plutonium fuel  

DOE Patents [OSTI]

A nuclear fuel bundle includes a square array of fuel rods each having a concentration of enriched uranium and plutonium. Each rod of an interior array of the rods also has a concentration of gadolinium. The interior array of rods is surrounded by an exterior array of rods void of gadolinium. By this design, usage of plutonium in the nuclear reactor is enhanced. 10 figs.

Reese, A.P.; Stachowski, R.E.

1995-08-08T23:59:59.000Z

459

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

460

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

SciTech Connect (OSTI)

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

Poyer, D.A.

1992-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "household electricity usage" 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

Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier  

E-Print Network [OSTI]

M a y 2000 Keywords: energy suppliers, mixed logit, tastecustomers' choice among energy suppliers in conjoint-typecustomers' choice o f energy supplier and estimate the value

Revelt, David; Train, Kenneth

2000-01-01T23:59:59.000Z

462

Tailoring Feedback to Users’ Actions in a Persuasive Game for Household Electricity Conservation  

Science Journals Connector (OSTI)

Recent work has begun to focus on the use of games as a platform for energy awareness and eco-feedback research. While technical advancements (wireless sensors, fingerprinting) make timely and tailored feedbac...

Luciano Gamberini; Anna Spagnolli…

2012-01-01T23:59:59.000Z

463

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

E-Print Network [OSTI]

EV market studies In the absence of data on actual sales,EV, then we expect that 16-18%) of annual light-duty vehicle sales

Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

1996-01-01T23:59:59.000Z

464

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

465

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

466

LA REVUE DE L'EPI N 96 LES USAGES PDAGOGIQUES DU LOGICIEL LIBRE LES USAGES PDAGOGIQUES  

E-Print Network [OSTI]

professionnelle quotidienne. La question des usages de ces technologies est au centre des préoccu- pations de chacun : que pouvons-nous faire avec les Technologies de l'Information et de la Communication pour l construction d'un intranet académique par le Conseil régional de Picardie, et nous nous sommes réunis entre

Paris-Sud XI, Université de

467

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

SciTech Connect (OSTI)

This paper revises and extends EPRI report EA-3409, ''Household Appliance Choice: Revision of REEPS Behavioral Models.'' That paper reported the results of an econometric study of major appliance choice in new residential construction. Errors appeared in two tables of that report. We offer revised versions of those tables, and a brief analysis of the consequences and significance of the errors. The present paper also proposes several possible extensions and re-specifications of the models examined by EPRI. Some of these are judged to be highly successful; they both satisfy economic intuition more completely than the original specification and produce a better quality fit to the dependent variable. We feel that inclusion of these modifications produces a more useful set of coefficients for economic modeling than the original specification. This paper focuses on EPRI's models of residential space heating technology choice. That choice was modeled as a nested logit structure, with consumers choosing whether to have central air conditioning or not, and, given that choice, what kind of space heating system to have. The model included five space heating alternatives with central cooling (gas, oil, and electric forced-air; heat pumps; and electric baseboard) and eight alternatives without it (gas, oil, and electric forced-air; gas and oil boilers and non-central systems; and electric baseboard heat). The structure of the nested logit model is shown in Figure 1.

Wood, D.J.; Ruderman, H.; McMahon, J. E.

1989-05-01T23:59:59.000Z

468

A Study of the Electrical Energy Usage Patterns of a Texas Dairy  

E-Print Network [OSTI]

and afternoon milkings. The morning peak occurred two hours prior to Texas Power & Light Company's winter peak hour, and the evening peak is coincident with TP&L's summer peak hour. It was estimated that a savings of approximately 33% on water heating k...

Schneider, K. C.; Pollard, K. W.

1984-01-01T23:59:59.000Z

469

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

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

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

470

A PRACTICAL ONTOLOGY FOR THE LARGE-SCALE MODELING OF SCHOLARLY ARTIFACTS AND THEIR USAGE  

SciTech Connect (OSTI)

The large-scale analysis of scholarly artifact usage is constrained primarily by current practices in usage data archiving, privacy issues concerned with the dissemination of usage data, and the lack of a practical ontology for modeling the usage domain. As a remedy to the third constraint, this article presents a scholarly ontology that was engineered to represent those classes for which large-scale bibliographic and usage data exists, supports usage research, and whose instantiation is scalable to the order of 50 million articles along with their associated artifacts (e.g. authors and journals) and an accompanying 1 billion usage events. The real world instantiation of the presented abstract ontology is a semantic network model of the scholarly community which lends the scholarly process to statistical analysis and computational support. They present the ontology, discuss its instantiation, and provide some example inference rules for calculating various scholarly artifact metrics.

RODRIGUEZ, MARKO A. [Los Alamos National Laboratory; BOLLEN, JOHAN [Los Alamos National Laboratory; VAN DE SOMPEL, HERBERT [Los Alamos National Laboratory

2007-01-30T23:59:59.000Z

471

Evaluation of evolving residential electricity tariffs  

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

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

472

Plug-In Hybrid Electric Vehicles - Prototypes  

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

Prototypes Prototypes A PHEV prototype being prepared for testing. A plug-in electric vehicle (PHEV) prototype is prepared for testing at Argonne National Laboratory. What is a PHEV? A plug-in hybrid electric vehicle, or PHEV, is similar to today's hybrid electric vehicles on the market today, but with a larger battery that is charged both by the vehicle's gasoline engine and from plugging into a standard 110 V electrical outlet for a few hours each day. PHEVs and HEVs both use battery-powered motors and gasoline-powered engines for high fuel efficiency, but PHEVs can further reduce fuel usage by employing electrical energy captured through daily charging. Prototype as Rolling Test Bed As part of Argonne's multifaceted PHEV research program, Argonne researchers have constructed a PHEV prototype that serves as a rolling test

473

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

474

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

475

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.

476

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

477

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

478

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

479

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

480

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.

Note: This page contains sample records for the topic "household electricity usage" 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

Standard for Inert Cryogenic Liquid Usage in the Laboratory Page 1 of 4 Standard for Inert Cryogenic Liquid Usage in the Laboratory  

E-Print Network [OSTI]

Cryogenic Liquid Usage in the Laboratory Page 1 of 4 March 2009 Standard for Inert Cryogenic Liquid Usage in the Laboratory In University workplaces, the storage, handling and dispensing of cryogenic liquids (e.g. liquid-up. Appropriate controls must be implemented wherever cryogenics are in use. This standard outlines some general

Chan, Hue Sun

482

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

483

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?

484

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?

485

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

486

Electricity Markets  

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

Electricity Markets Electricity Markets Researchers in the electricity markets area conduct technical, economic, and policy analysis of energy topics centered on the U.S. electricity sector. Current research seeks to inform public and private decision-making on public-interest issues related to energy efficiency and demand response, renewable energy, electricity resource and transmission planning, electricity reliability and distributed generation resources. Research is conducted in the following areas: Energy efficiency research focused on portfolio planning and market assessment, design and implementation of a portfolio of energy efficiency programs that achieve various policy objectives, utility sector energy efficiency business models, options for administering energy efficiency

487

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

SciTech Connect (OSTI)

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

Brand, Stefanie A.

2010-07-15T23:59:59.000Z

488

Use of nanofiltration to reduce cooling tower water usage.  

SciTech Connect (OSTI)

Nanofiltration (NF) can effectively treat cooling-tower water to reduce water consumption and maximize water usage efficiency of thermoelectric power plants. A pilot is being run to verify theoretical calculations. A side stream of water from a 900 gpm cooling tower is being treated by NF with the permeate returning to the cooling tower and the concentrate being discharged. The membrane efficiency is as high as over 50%. Salt rejection ranges from 77-97% with higher rejection for divalent ions. The pilot has demonstrated a reduction of makeup water of almost 20% and a reduction of discharge of over 50%.

Sanchez, Andres L.; Everett, Randy L.; Jensen, Richard Pearson; Cappelle, Malynda A.; Altman, Susan Jeanne

2010-09-01T23:59:59.000Z

489

Use of Astronomical Literature - A Report on Usage Patterns  

E-Print Network [OSTI]

In this paper we present a number of metrics for usage of the SAO/NASA Astrophysics Data System (ADS). Since the ADS is used by the entire astronomical community, these are indicative of how the astronomical literature is used. We will show how the use of the ADS has changed both quantitatively and qualitatively. We will also show that different types of users access the system in different ways. Finally, we show how use of the ADS has evolved over the years in various regions of the world. The ADS is funded by NASA Grant NNG06GG68G.

Edwin A. Henneken; Michael J. Kurtz; Alberto Accomazzi; Carolyn S. Grant; Donna Thompson; Elizabeth Bohlen; Stephen S. Murray

2008-08-01T23:59:59.000Z

490

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

491

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

492

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

493

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

494

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

495

Infrastructure, Components and System Level Testing and Analysis of Electric Vehicles: Cooperative Research and Development Final Report, CRADA Number CRD-09-353  

SciTech Connect (OSTI)

Battery technology is critical for the development of innovative electric vehicle networks, which can enhance transportation sustainability and reduce dependence on petroleum. This cooperative research proposed by Better Place and NREL will focus on predicting the life-cycle economics of batteries, characterizing battery technologies under various operating and usage conditions, and designing optimal usage profiles for battery recharging and use.

Neubauer, J.

2013-05-01T23:59:59.000Z

496

Electrical Engineer  

Broader source: Energy.gov [DOE]

This position is located in the Office of Electric Reliability. The Office of Electric Reliability helps protect and improve the reliability and security of the nation's bulk power system through...

497

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2010 I Hudson Consulting I October 2010  

E-Print Network [OSTI]

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2010 I Hudson Consulting I October 2010 Woodfuel Demand and Usage in Scotland Report 2010 #12;Woodfuel Usage Update 2 I Wood fuel use in Scotland 2010 I Hudson Consulting I October 2010 Woodfuel Demand and Usage in Scotland Report 2010 www

498

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2012 I Hudson Consulting I November 2012  

E-Print Network [OSTI]

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2012 I Hudson Consulting I November 2012 Woodfuel Demand and Usage in Scotland Report 2012 #12;Woodfuel Usage Update 2 I Wood fuel use in Scotland 2012 I Hudson Consulting I November 2012 Woodfuel Demand and Usage in Scotland Report 2012 www

499

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011  

E-Print Network [OSTI]

Woodfuel Usage Update 1 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011 Woodfuel Demand and Usage in Scotland Report 2011 #12;Woodfuel Usage Update 2 I Wood fuel use in Scotland 2011 I Hudson Consulting I September 2011 Woodfuel Demand and Usage in Scotland Report 2011 www

500

The methods of steam coals usage for coke production  

SciTech Connect (OSTI)

Nowadays, high volatile bituminous coals are broadly used for metallurgical coke production in Russia. The share of such coals in the coking blend is variable from 20 to 40% by weight. There are some large coal deposits in Kuznetskii basin which have coals with low caking tendency. The low caking properties of such coals limit of its application in the coking process. At the same time the usage of low caking coals for coke production would allow flexibility of the feedstock for coke production. Preliminary tests, carried out in COAL-C's lab has shown some differences in coal properties with dependence on the size distribution. That is why the separation of the well-caking fraction from petrographically heterogeneous coals and its further usage in coking process may be promising. Another way for low caking coals application in the coke industry is briquettes production from such coals. This method has been known for a very long time. It may be divided into two possible directions. First is a direct coking of briquettes from the low caking coals. Another way is by adding briquettes to coal blends in defined proportion and combined coking. The possibility of application of coal beneficiation methods mentioned above was investigated in present work.

Korobetskii, I.A.; Ismagilov, M.S.; Nazimov, S.A.; Sladkova, I.L.; Shudrikov, E.S.

1998-07-01T23:59:59.000Z