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1

CBECS 1989 - Energy End-use Intensities in Commercial Buildings -- Detailed  

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

Publication > Detailed Tables Publication > Detailed Tables 1989 Energy End-Use Intensities Detailed Tables Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. Table Organization The following 13 tables present detailed energy end-use consumption data from the 1989 CBECS. Summary tables for all major fuels (electricity, natural gas, fuel oil, and district heat) appear first, followed by separate tables for each of the four major fuels. Within each energy source’s group of tables, there is a table showing end-use consumption, a table showing end-use intensities (consumption per square foot), and a table (except for fuel oil and district heat) showing the end-use shares of total consumption.

2

The effect of efficiency standards on water use and water heating energy use in the US: A detailed end-use treatment  

SciTech Connect

Water heating is an important end-use, accounting for roughly 16% of total primary energy consumption in the US residential sector. Recently enacted efficiency standards on water heaters and hot water-using equipment (e.g., dishwashers, clothes washers, showerheads, and faucets) will substantially affect the energy use of water heaters in the future. Assessment of current and future utility programs and government policies requires that regulators, resource planners, and forecasters understand the effects of these regulations. In order to quantify these impacts, this paper presents a detailed end-use breakdown of household hot and cold water use developed for the US Department of Energy. This breakdown is based on both previous studies and new data and analysis. It is implemented in a spreadsheet forecasting framework, which allows significant flexibility in specifying end-use demands and linkages between water heaters and hot water-using appliances. We disaggregate total hot and cold water use (gallons per day) into their component parts: showers, baths, faucets (flow dominated and volume dominated), toilets, landscaping/other, dishwashers, and clotheswashers. We then use the end-use breakdown and data on equipment characteristics to assess the impacts of current efficiency standards on hot water use and water heater energy consumption.

Koomey, J.G.; Dunham, C.; Lutz, J.D.

1994-05-01T23:59:59.000Z

3

Energy End-Use Intensities in Commercial Buildings1992 -- Overview/End-Use  

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

> Overview > Overview 1992 Energy End-Use Intensities Overview Energy Consumption by End Use, 1992 Figure on Energy Consumption By End Use, 1992 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1992 Commercial Buildings Energy Consumption Survey. End-Use Estimation Methodology The end-use estimates had two main sources: (1) survey data collected by the Commercial Buildings Energy Consumption Survey (CBECS) and (2) building energy simulations provided by the Facility Energy Decision Screening (FEDS) system. The CBECS provided data on building characteristics and total energy consumption (i.e., for all end uses) for a national sample of commercial buildings. Using data collected by the CBECS, the FEDS engineering modules were used to produce estimates of energy consumption by end use. The FEDS engineering estimates were then statistically adjusted to match the CBECS total energy consumption.

4

China End-Use Energy Demand Modeling  

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

China End-Use Energy Demand Modeling China End-Use Energy Demand Modeling Speaker(s): Nan Zhou Date: October 8, 2009 (All day) Location: 90-3122 As a consequence of soaring energy demand due to the staggering pace of its economic growth, China overtook the United States in 2007 to become the world's biggest contributor to CO2 emissions (IEA, 2007). Since China is still in an early stage of industrialization and urbanization, economic development promises to keep China's energy demand growing strongly. Furthermore, China's reliance on fossil fuel is unlikely to change in the long term, and increased needs will only heighten concerns about energy security and climate change. In response, the Chinese government has developed a series of policies and targets aimed at improving energy efficiency, including both short-term targets and long-term strategic

5

Energy End-Use Intensities in Commercial Buildings 1989  

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

9 Energy End-Use Intensities 1989 Energy End-Use Intensities Overview Full Report Tables National estimates and analysis of energy consumption by fuel (electricity, natural gas,...

6

Energy End-Use Intensities in Commercial Buildings 1992 - Index...  

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

2 Energy End-Use Intensities 1992 Energy End-Use Intensities Overview Tables National estimates of energy consumption by fuel (electricity and natural gas) and end use (heating,...

7

Energy End-Use Intensities in Commercial Buildings 1995 - Index...  

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

1995 End-Use Data 1995 End-Use Data Overview Tables National estimates of energy consumption by fuel (electricity and natural gas) and end use (heating, cooling, lighting, etc.)...

8

Energy end-use intensities in commercial buildings  

SciTech Connect

This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and other. The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand. The source of data for the analysis is the 1989 Commercial Buildings Energy Consumption survey (CBECS), which collected detailed data on energy-related characteristics and energy consumption for a nationally representative sample of approximately 6,000 commercial buildings. The analysis used 1989 CBECS data because the 1992 CBECS data were not yet available at the time the study was initiated. The CBECS data were fed into the Facility Energy Decision Screening (FEDS) system, a building energy simulation program developed by the US Department of Energy`s Pacific Northwest Laboratory, to derive engineering estimates of end-use consumption for each building in the sample. The FEDS estimates were then statistically adjusted to match the total energy consumption for each building. This is the Energy Information Administration`s (EIA) first report on energy end-use consumption in commercial buildings. This report is part of an effort to address customer requests for more information on how energy is used in buildings, which was an overall theme of the 1992 user needs study. The end-use data presented in this report were not available for publication in Commercial Buildings Energy Consumption and Expenditures 1989 (DOE/EIA-0318(89), Washington, DC, April 1992). However, subsequent reports on end-use energy consumption will be part of the Commercial Buildings Energy Consumption and Expenditures series, beginning with a 1992 data report to be published in early 1995.

1994-09-01T23:59:59.000Z

9

Energy End-Use Intensities in Commercial Buildings  

Annual Energy Outlook 2012 (EIA)

2 Distribution Category UC-950 Energy Consumption Series Energy End-Use Intensities in Commercial Buildings September 1994 Energy Information Administration Office of Energy...

10

Energy End-Use Intensities in Commercial Buildings 1992  

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

Overview > Tables Overview > Tables 1992 Energy End-Use Intensities Tables Energy Consumption by End Use, 1992 Figure on Energy Consumption By End Use, 1992 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1992 Commercial Buildings Energy Consumption Survey. divider line To View and/or Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties, visit our Technical Frequently Asked Questions. divider line Tables - (file size 31,655 bytes), pages 6. - requires Adobe Acrobat Reader Consumption of All Major Fuels by End Uses, 1992 Energy End-Use Intensities for All Major Fuels, 1992 Consumption of Electricity by End Uses, 1992 Energy End-Use Intensities for Electricity, 1992

11

Energy End-Use Intensities in Commercial Buildings  

U.S. Energy Information Administration (EIA)

DOE/EIA-0555(94)/2 Distribution Category UC-950 Energy Consumption Series Energy End-Use Intensities in Commercial Buildings September 1994 Energy Information ...

12

Energy End-Use Intensities in Commercial Buildings 1989 -- Executive  

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

9 Energy End-Use Intensities > Executive Summary 9 Energy End-Use Intensities > Executive Summary Executive Summary Energy End Uses Ranked by Energy Consumption, 1989 Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. divider line The demand for energy in U.S. stores, offices, schools, hospitals, and other commercial buildings has been increasing. This report examines energy intensities in commercial buildings for nine end uses: space heating, cooling, ventilation, lighting, water heating, cooking, refrigeration, office equipment, and "other." The objective of this analysis was to increase understanding of how energy is used in commercial buildings and to identify targets for greater energy efficiency which could moderate future growth in demand.

13

1999 Commercial Buildings Characteristics--Energy Sources and End Uses  

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

Energy Sources and End Uses Energy Sources and End Uses Topics: Energy Sources and End Uses End-Use Equipment Conservation Features and Practices Energy Sources and End Uses CBECS collects information that is used to answer questions about the use of energy in the commercial buildings sector. Questions such as: What kind of energy sources are used? What is energy used for? and What kinds of equipment use energy? Energy Sources Nearly all commercial buildings used at least one source of energy for some end use (Figure 1). Electricity was the most commonly used energy source in commercial buildings (94 percent of buildings comprising 98 percent of commercial floorspace). More than half of commercial buildings (57 percent) and two-thirds of commercial floorspace (68 percent) were served by natural gas. Three sources-fuel oil, district heat, and district chilled water-when used, were used more often in larger buildings.

14

Figure 60. Energy intensity of selected commercial end uses ...  

U.S. Energy Information Administration (EIA)

Refrigeration Lighting Heating, cooling, and ventilation Other 2040.00 2011.00 ... Energy intensity of selected commercial end uses, 2011 and 2040 ...

15

Energy End-Use Technologies for the 21st Century  

SciTech Connect

The World Energy Council's recent study examined the potential of energy end-use technologies and of research, development, and demonstration (RD&D) into these technologies on a global scale. Surprises are likely, but nevertheless, current research and development offer a picture of what might happen in the future as new technologies face the competition of the marketplace. Given the breadth of energy end-use technologies and the differences between regions and economic conditions, the study focused on technologies that appear most important from today's vantage point. Globally, robust research and development followed by demonstrations of new end-use technologies can potentially save at least 110 EJ/year by 2020 and over 300 EJ/year by 2050. If achieved, this translates to worldwide energy savings of as much as 25% by 2020 and over 40% by 2050, over what may be required without these technologies. It is almost certain that no single technology, or even a small set of technologies, will dominate in meeting the needs of the globe in any foreseeable timeframe. Absent a significant joint government-industry effort on end-use technology RD&D, the technologies needed will not be ready for the marketplace in the timeframes required with even the most pessimistic scenarios. Based on previous detailed analyses for the United States, an international expenditure of $4 billion per year seems more than justified. The success of new energy end-use technologies depends on new RD&D investments and policy decisions made today. Governments, in close cooperation with industry, must carefully consider RD&D incentives that can help get technologies from the laboratory or test-bed to market. Any short-term impact areas are likely to benefit from focused RD&D. These include electricity transmission and distribution, distributed electricity production, transportation, the production of paper and pulp, iron and steel, aluminum, cement and chemicals, and information and communication technologies. For long-term impact, significant areas include fuel cells, hydrogen fuel, and integrated multi-task energy systems.

Gehl, S; Haegermark, H; Larsen, H; Morishita, M; Nakicenovic, N; Schock, R N; Suntola, T

2005-04-13T23:59:59.000Z

16

India Energy Outlook: End Use Demand in India to 2020  

SciTech Connect

Integrated economic models have been used to project both baseline and mitigation greenhouse gas emissions scenarios at the country and the global level. Results of these scenarios are typically presented at the sectoral level such as industry, transport, and buildings without further disaggregation. Recently, a keen interest has emerged on constructing bottom up scenarios where technical energy saving potentials can be displayed in detail (IEA, 2006b; IPCC, 2007; McKinsey, 2007). Analysts interested in particular technologies and policies, require detailed information to understand specific mitigation options in relation to business-as-usual trends. However, the limit of information available for developing countries often poses a problem. In this report, we have focus on analyzing energy use in India in greater detail. Results shown for the residential and transport sectors are taken from a previous report (de la Rue du Can, 2008). A complete picture of energy use with disaggregated levels is drawn to understand how energy is used in India and to offer the possibility to put in perspective the different sources of end use energy consumption. For each sector, drivers of energy and technology are indentified. Trends are then analyzed and used to project future growth. Results of this report provide valuable inputs to the elaboration of realistic energy efficiency scenarios.

de la Rue du Can, Stephane; McNeil, Michael; Sathaye, Jayant

2009-03-30T23:59:59.000Z

17

Residential end-use energy planning system (REEPS). Final report  

Science Conference Proceedings (OSTI)

The Residential End-Use Energy Planning System (REEPS) is described. REEPS is a forecasting model of residential energy patterns that is capable of evaluating the impacts of a broad range of energy conservation measures. REEPS forecasts appliance installations, operating efficiencies, and utilization patterns for space heating, water heating, air conditioning, and cooking. Each of these decisions is sensitive to energy prices, mandatory policies, and household/dwelling and geographical characteristics. The parameters of these choice models have been estimated statistically from national household survey data. The structure of the choice models and the results of the statistical analysis are reported in detail. REEPS forecasts energy choices for a large number of market segments representing households with different socioeconomic, dwelling, and geographical characteristics. These segments reflect the joint distribution of characteristics in the population. Aggregate forecasts are generated by summing up the decisions for all population segments. This technique provides a consistent method of obtaining aggregate forecasts from disaggregate, nonlinear choice models. Moreover, it permits evaluation of the distributional impacts of prospective conservation policies. The results of simulation of REEPS are described. REEPS forecasts a moderate rise in electricity consumption per household and significant drops in other fuels. These are caused in part by high market penetrations of electric appliances which themselves reflect major shifts in relative energy prices.

Goett, A.; McFadden, D.

1982-07-01T23:59:59.000Z

18

Energy End-Use Flow Maps for the Buildings Sector  

SciTech Connect

Graphical presentations of energy flows are widely used within the industrial sector to depict energy production and use. PNNL developed two energy flow maps, one each for the residential and commercial buildings sectors, in response to a need for a clear, concise, graphical depiction of the flows of energy from source to end-use in the building sector.

Belzer, David B.

2006-12-04T23:59:59.000Z

19

End use energy consumption data base: transportation sector  

SciTech Connect

The transportation fuel and energy use estimates developed a Oak Ridge National Laboratory (ORNL) for the End Use Energy Consumption Data Base are documented. The total data base contains estimates of energy use in the United States broken down into many categories within all sectors of the economy: agriculture, mining, construction, manufacturing, commerce, the household, electric utilities, and transportation. The transportation data provided by ORNL generally cover each of the 10 years from 1967 through 1976 (occasionally 1977 and 1978), with omissions in some models. The estimtes are broken down by mode of transport, fuel, region and State, sector of the economy providing transportation, and by the use to which it is put, and, in the case of automobile and bus travel, by the income of the traveler. Fuel types include natural gas, motor and aviation gasoline, residual and diesel oil, liuqefied propane, liquefied butane, and naphtha- and kerosene-type jet engine fuels. Electricity use is also estimated. The mode, fuel, sector, and use categories themselves subsume one, two, or three levels of subcategories, resulting in a very detailed categorization and definitive accounting.

Hooker, J.N.; Rose, A.B.; Greene, D.L.

1980-02-01T23:59:59.000Z

20

End-use matching of solar energy systems  

SciTech Connect

The choice among available energy sources for a given task requires technical and economic tradeoffs on the part of the individual investor. From the national perspective, however, the effectiveness with which available energy sources are utilized may well become an overriding consideration. End-use matching is a procedure for introducing solar energy into the national energy infrastructure. The result of end-use matching is an identification of the most cost-effective combination of process energy needs, solar collector technology, geographic location, and economics by matching currently available solar system hardware with particular industrial processes and their locations. End-use matching is not intended to be a design tool for a specific plant, but rather a planning tool for determining where and for what general applications solar systems appear economically viable in the near- to immediate-term. This paper discusses the end-use matching methodology and illustrates first and second law thermodynamics analyses applied to a solar system producing process steam.

Kreith, F.; Kearney, D.; Bejan, A.

1979-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "detailed energy end-use" 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

Flywheel Energy Storage for End-Use Power  

Science Conference Proceedings (OSTI)

Power quality represents both a challenge and an opportunity for utilities to provide quality and service to their customers. Flywheel systems are becoming commercially available for solving short-term power quality problems, specifically voltage sags and momentary interruptions, and a variety of products appears particularly attractive for this market. This report provides information on the subject of flywheel energy storage systems to utility personnel responsible for end-use power quality.

1998-12-15T23:59:59.000Z

22

Commercial building end-use energy metering inventory  

SciTech Connect

Pacific Northwest Laboratory conducted a comprehensive inventory of end-use metered data. The inventory did not discover many sources of metered end-use data; however, research into existing data bases and extensive discussions with professionals associated with building energy conservation have enabled a clear characterization to be developed of the types of metered data that are required to further energy conservation in commercial buildings. Based on the results of the inventory and this clarification of data requirements, the adequacy of existing data bases has been assessed, and recommendations have been developed for future federal data collection efforts. A summary of sources of existing metered end-use data is provided in Section 2.1 and its adequacy has been summarized. Collection of further end-use metered data is both desirable and valuable for many areas of building energy conservation research. Empirical data are needed to address many issues which to date have been addressed using only simulation techniques. The adequacy of using simulation techniques for various purposes needs to be assessed through comparison with measured data. While these data are expensive to acquire, it is cost-effective to do so in the long run, and the need is not being served by the private market. The preceding conclusion based on results from the inventory of existing data highlights two important facts: First, although the data are widely desired in the private sector, they are not widely available. Second, where suitable data are publicly available and contain the desired supporting information, their collection has generally been funded by government-sponsored research.

Heidell, J.A.; Mazzucchi, R.P.; Reilly, R.W.

1985-03-01T23:59:59.000Z

23

Energy Information Administration - Table 2. End Uses of Fuel Consumption,  

Gasoline and Diesel Fuel Update (EIA)

2 2 Page Last Modified: June 2010 Table 2. End Uses of Fuel Consumption, 1998, 2002, and 2006 (trillion Btu) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 1998 2002 2006 Total 2 1,672 1,455 1,147 Net Electricity 3 158 184 175 Natural Gas 456 388 326 Coal 48 36 14 Boiler Fuel -- -- -- Coal 8 W 1 Residual Fuel Oil 10 * 4 Natural Gas 52 39 27 Process Heating -- -- -- Net Electricity 74 79 76 Residual Fuel Oil 19 * 11 Natural Gas 369 329 272 Machine Drive -- -- -- Net Electricity 68 86 77 Notes 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 2. 'Total' is the sum of all energy sources listed below, including net steam (the sum of purchases, generation from renewable resources, and net transfers), and other energy that respondents indicated was used to produce heat and power. It is the fuel quantities across all end-uses.

24

Ris Energy Report 4 Interaction between supply and end-use 4 8 Interaction between supply and end-use  

E-Print Network (OSTI)

Risø Energy Report 4 Interaction between supply and end-use 4 8 Interaction between supply and end vary, so we need to find a pricing mechanism that is broadly applicable. The issue of short-term supply balance take place. DR and the security of supply problem thus take different forms depending

25

Energy End-Use Patterns in Full-Service Hotels: A Case Study  

SciTech Connect

The U.S. Department of Energy (DOE) recently initiated a program -- Commercial Building Partnerships (CBP) -- to work with private-sector companies in the design of highly-efficient retrofit and new construction projects. Pacific Northwest National Laboratory (PNNL) is conducting a project with a major hotel company to retrofit a full-service, large hotel with the goal of reducing energy consumption by at least 30%. The first step of the project was an intensive metering and monitoring effort aimed at understanding energy end use patterns in the hotel. About 10% of the guest rooms (32), as well as circuits for most of the end uses in public spaces (lighting, elevators, air handlers and other HVAC system components, and various equipment), were equipped with meters. Data are being collected at 1- or 5-minute intervals and downloaded on a monthly basis for analysis. This paper presents results from the first four months of the monitoring effort, which revealed energy end-use consumption patterns, variability of guest room energy use, daily load curves, monthly variations, and other aspects of hotel energy use. Metered end-use data for hotels at this level of detail are not available from any currently-available public sources. This study presents unique information and insight into energy end-use patterns in the lodging sector of commercial buildings and can also serve as a case study of a complex sub-metering project.

Placet, Marylynn; Katipamula, Srinivas; Liu, Bing; Dirks, James A.; Xie, YuLong; Sullivan, Greg; Walent, Jim; Williamson, Rebecca

2010-06-30T23:59:59.000Z

26

A new approach to estimate commercial sector end-use load shapes and energy use intensities  

SciTech Connect

We discuss the application of an end-use load shape estimation technique to develop annual energy use intensities (EUIs) and hourly end-use load shapes (LSs) for commercial buildings in the Pacific Gas and Electric Company (PG&E) service territory. Results will update inputs for the commercial sector energy and peak demand forecasting models used by PG&E and the California Energy Commission (CEC). EUIs were estimated for 11 building types, up to 10 end uses, 3 fuel types, 2 building vintages, and up to 5 climate regions. The integrated methodology consists of two major parts. The first part is the reconciliation of initial end-use load-shape estimates with measured whole-building load data to produce intermediate EUIs and load shapes, using LBL`s End-use Disaggregation Algorithm, EDA. EDA is a deterministic hourly algorithm that relies on the observed characteristics of the measured hourly whole-building electricity use and disaggregates it into major end-use components. The end-use EUIs developed through the EDA procedure represent a snap-shot of electricity use by building type and end-use for two regions of the PG&E service territory, for the year that disaggregation is performed. In the second part of the methodology, we adjust the EUIs for direct application to forecasting models based on factors such as climatic impacts on space-conditioning EUIs, fuel saturation effects, building and equipment vintage, and price impacts. Core data for the project are detailed on-site surveys for about 800 buildings, mail surveys ({approximately}6000), load research data for over 1000 accounts, and hourly weather data for five climate regions.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1994-08-01T23:59:59.000Z

27

Building Energy Code and End Use Benchmarking: Improving energy...  

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

is experiencing tremendous growth, with gross square footage expected to triple by 2030. While most developed countries have put a heavy emphasis on improving energy...

28

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

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End-Use Sector Energy Consumption by End-Use Sector International Energy Outlook 2007 Chapter 2 - Energy Consumption by End-Use Sector In the IEO2007 projections, end-use energy consumption depends on resource endowment, economic growth, and other political, social, and demographic factors.. One way of looking at the future of world energy markets is to consider trends in energy consumption at the end-use sector level. With the exception of the transportation sector, which is dominated by petroleum-based liquids products at present, the mix of energy use in the residential, commercial, and industrial sectors varies widely by region, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social,

29

Table F4. Delivered energy consumption in Canada by end-use sector ...  

U.S. Energy Information Administration (EIA)

228 U.S. Energy Information Administration International Energy Outloo 2013 Appendix F Table F4. Delivered energy consumption in Canada by end-use sector and fuel ...

30

Project on Restaurant Energy Performance: end-use monitoring and analysis  

Science Conference Proceedings (OSTI)

Although energy bills for restaurants throughout the United States exceed 5 billion dollars annually, very little has been documented with respect to when and how restaurants use energy, or how such use can be reduced cost-effectively. This report summarizes the results of a multiyear collaborative research effort, designed to collect information on end-use energy consumption. Objective is to reveal the quantities and profiles of energy consumption of typical food service operations by time of day and end use. This information, when examined in conjunction with building characteristics, allows detailed study of energy use cause and effect and energy conservation potential. Seven representative monitoring sites were selected, a computerized data acquisition network was designed and implemented, and detailed energy performance was compiled for a 1 year period (July 1983 through June 1984). Each of the seven facilities monitored was selected to represent the seven most common restaurant types and to provide information on a wide variety of commonly used restaurant equipment. Preliminary findings are presented.

Claar, C.N.; Mazzucchi, R.P.; Heidell, J.A.

1985-05-01T23:59:59.000Z

31

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

and equity, 2005, the Energy and Resources Institute (Tables Figures Figure 1. India Primary Energy Supply by fuel7 Figure 2. Final and Primary Energy (including biomass) by

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

32

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

Commercial Building Energy Consumption Survey (CBECS),7 Figure 3. Energy Consumption in the Agriculture Sector (13 Figure 6. Energy Consumption in the Service

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

33

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

Price, 2008 Sectoral Trends in Global Energy Use and Greenhouse GasTrends in Global Energy Use and Greenhouse Gas Emissions (Price

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

34

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

gas oil nuclear hydro Energy output Own Uses Transmissiongas oil nuclear hydro Energy output Own Uses Transmissionenergy equivalence of electricity generated from hydro or

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

35

Energy End-Use Intensities in Commercial Buildings 1989 data -- Publication  

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

End-Use Intensities Executive Summary > Publication and Tables End-Use Intensities Executive Summary > Publication and Tables Publication and Tables Energy End Uses Ranked by Energy Consumption, 1989 Figure on Energy End Uses Ranked by Energy Consumption, 1989 Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A through F of the 1989 Commercial Buildings Energy Consumption Survey. Divider Bar To View and/or Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties, visit our Technical Frequently Asked Questions. Divider Bar You have the option of downloading the entire report or selected sections of the report. Full Report - Energy End-Use Intensities in Commercial Buildings (1989 data) (file size .89 MB) pages: 140

36

Service Report Energy Information Administration Office of Energy Markets and End Use  

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

Energy Information Administration Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, D C 20585 SR/EEUD/86/01 Residential Conservation Measures Energy End Use Division Office of Energy Markets and End Use Energy Information Administration July 1986 This report has not received a complete technical review by the Energy In formation Administration (EIA) and, therefore, should not be represented as an official EIA product. PREFACE This study was undertaken at the request of Senator James A. McClure, Chairman, Committee on Energy and Natural Resources, United States Senate. The purpose of the study is to examine the potential for achieving energy savings in the residential sector through conservation measures. The report is to be submitted

37

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2006;" 6 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

38

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

39

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2010;" 6 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)","Other(e)"

40

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

6 End Uses of Fuel Consumption, 2002;" 6 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal",,"RSE" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Factors"

Note: This page contains sample records for the topic "detailed energy end-use" 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

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

water (3%). Finally oil is a source of energy for theOil Diesel Oil LPG Electricity Source: CEA, 2006; MOSPI,countries, oil remains an important source of energy for

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

42

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

Past Trend and Future Outlook",LBNL forthcoming. de la Rue2006. Building up India: Outlook for Indias real estate,2006a. World Energy Outlook, IEA/OECD, Paris, France.

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

43

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

trends in the iron and steel industry Energy Policy 30 (user is the iron and steel industry representing almost halfTable 9). The Indian steel industry is slowly shifting from

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

44

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

Gasoline and Diesel Fuel Update (EIA)

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

45

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," "," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)","Row"

46

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2010;" 5 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

47

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2002;" 5 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," "," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Other(e)","Row"

48

" Row: End Uses;" " Column: Energy Sources, including Net Electricity;"  

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

5 End Uses of Fuel Consumption, 2006;" 5 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " ",,,,"Fuel Oil",,,"(excluding Coal" " "," ","Net","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)"," " " ","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Other(e)"

49

Residential energy consumption and expenditures by end use for 1978, 1980, and 1981  

Science Conference Proceedings (OSTI)

The end-use estimates of the average household consumption and expenditures are statistical estimates based on the 1978, 1980, and 1981 Residential Enery Consumption Surveys (RECS) conducted by the Energy Information Administration (EIA) rather than on metered observations. The end-use estimates were obtained by developing a set of equations that predict the percentage of energy used for each broad end-use category. The equations were applied separately to each household and to each fuel. The resulting household end-use estimates were averaged to produce estimates of the average end-use consumption and expenditures on a national and regional basis. The accuracy and potential biases of these end-use estimates vary depending on the fuel type, on the year of the survey, and on the type of end use. The figures and tables presented show the amount and the type of energy cosumed, plus the cost of this energy. National averages are given as well as averages for various categories including region, size and age of dwelling, number of heating degree-days, and income. Some of the significant findings; energy trends by end use for all fuels used in the home for 1978, 1980, and 1981; and electricity consumption and expenditures and natural gas consumption and expenditures are discussed.

Johnson, M.

1984-12-01T23:59:59.000Z

50

2012 End-Use Energy Efficiency and Demand Response, EPRI Program 170: Summary of Deliverables  

Science Conference Proceedings (OSTI)

The EPRI research program on End-Use Energy Efficiency and Demand Response (Program 170) is focused on the assessment, testing, and demonstration of energy-efficient and intelligent end-use devices, as well as analytical studies of the economic, environmental, and behavioral aspects of energy efficiency and demand response. The 2012 reports, tools and resources produced in this program are available to employees of funding companies, and can be accessed by clicking on the product number link listed after ..

2013-05-22T23:59:59.000Z

51

Program on Technology Innovation: Opportunities for Advancing End-Use Energy Efficiency  

Science Conference Proceedings (OSTI)

This Strategic Science and Technology project identified promising opportunities to develop technologies that improve end-use energy efficiency and gauged interest within the utility industry and other stakeholders in funding research and development initiatives to develop these opportunities.

2005-05-10T23:59:59.000Z

52

The Value of End-Use Energy Efficiency in Mitigation of U.S. Carbon Emissions  

DOE Green Energy (OSTI)

This report documents a scenario analysis exploring the value of advanced technologies in the U.S. buildings, industrial, and transportation sectors in stabilizing atmospheric greenhouse gas concentrations. The analysis was conducted by staff members of Pacific Northwest National Laboratory (PNNL), working at the Joint Global Change Research Institute (JGCRI) in support of the strategic planning process of the U.S. Department of Energy (U.S. DOE) Office of Energy Efficiency and Renewable Energy (EERE). The conceptual framework for the analysis is an integration of detailed buildings, industrial, and transportation modules into MiniCAM, a global integrated assessment model. The analysis is based on three technology scenarios, which differ in their assumed rates of deployment of new or presently available energy-saving technologies in the end-use sectors. These technology scenarios are explored with no carbon policy, and under two CO2 stabilization policies, in which an economic price on carbon is applied such that emissions follow prescribed trajectories leading to long-term stabilization of CO2 at roughly 450 and 550 parts per million by volume (ppmv). The costs of meeting the emissions targets prescribed by these policies are examined, and compared between technology scenarios. Relative to the reference technology scenario, advanced technologies in all three sectors reduce costs by 50% and 85% for the 450 and 550 ppmv policies, respectively. The 450 ppmv policy is more stringent and imposes higher costs than the 550 ppmv policy; as a result, the magnitude of the economic value of energy efficiency is four times greater for the 450 ppmv policy than the 550 ppmv policy. While they substantially reduce the costs of meeting emissions requirements, advanced end-use technologies do not lead to greenhouse gas stabilization without a carbon policy. This is due mostly to the effects of increasing service demands over time, the high consumption of fossil fuels in the electricity sector, and the use of unconventional feedstocks in the liquid fuel refining sector. Of the three end-use sectors, advanced transportation technologies have the greatest potential to reduce costs of meeting carbon policy requirements. Services in the buildings and industrial sectors can often be supplied by technologies that consume low-emissions fuels such as biomass or, in policy cases, electricity. Passenger transportation, in contrast, is especially unresponsive to climate policies, as the fuel costs are small compared to the time value of transportation and vehicle capital and operating costs. Delaying the transition from reference to advanced technologies by 15 years increases the costs of meeting 450 ppmv stabilization emissions requirements by 21%, but the costs are still 39% lower than the costs assuming reference technology. The report provides a detailed description of the end-use technology scenarios and provides a thorough analysis of the results. Assumptions are documented in the Appendix.

Kyle, G. Page; Smith, Steven J.; Clarke, Leon E.; Kim, Son H.; Wise, Marshall A.

2007-11-27T23:59:59.000Z

53

Data on energy end-use patterns and energy efficiencies in major CO sub 2 emitting countries  

SciTech Connect

This is a report of the basic data regarding energy end-uses and efficiencies in major CO{sub 2} emitting countries. The task is part of the multi-lab carbon dioxide energy system research program. Fossil energy production and use are the largest anthropogenic source of CO{sub 2} emissions. To gain an insight into the relationship between CO{sub 2} emission and energy use, the global energy consumption patterns and the changing energy efficiencies must be better analyzed and understood. This work attempts to collect and organize the data on energy use and energy efficiency for the ten major CO{sub 2} emitting countries: USA, USSR, the People's Republic of China, Japan, the Federal Republic of Germany, the United Kingdom, France, Canada, Italy, and Australia. A wide variety of information sources have been examined. The data base is presented in tabular format. It is documented by three main parts, the first shows the total final energy consumption by fuel type and end-use sector for each nation. The second shows the detailed energy use by fuel type and function for each end-use sector: residential, commercial, transportation and industrial. The third part shows the country-specific energy balances for electricity generation and use. The data base is a living document and will be updated as additional information becomes available. The data base is to be used to accomplish the ultimate objective of improving the reliability of future CO{sub 2}-emissions estimates. 7 refs., 12 tabs.

Cheng, Hsing C.

1990-08-01T23:59:59.000Z

54

Data on energy end-use patterns and energy efficiencies in major CO sub 2 emitting countries  

SciTech Connect

This is a report of the basic data regarding energy end-uses and efficiencies in major CO{sub 2} emitting countries. The task is part of the multi-lab carbon dioxide energy system research program. Fossil energy production and use are the largest anthropogenic source of CO{sub 2} emissions. To gain an insight into the relationship between CO{sub 2} emission and energy use, the global energy consumption patterns and the changing energy efficiencies must be better analyzed and understood. This work attempts to collect and organize the data on energy use and energy efficiency for the ten major CO{sub 2} emitting countries: USA, USSR, the People's Republic of China, Japan, the Federal Republic of Germany, the United Kingdom, France, Canada, Italy, and Australia. A wide variety of information sources have been examined. The data base is presented in tabular format. It is documented by three main parts, the first shows the total final energy consumption by fuel type and end-use sector for each nation. The second shows the detailed energy use by fuel type and function for each end-use sector: residential, commercial, transportation and industrial. The third part shows the country-specific energy balances for electricity generation and use. The data base is a living document and will be updated as additional information becomes available. The data base is to be used to accomplish the ultimate objective of improving the reliability of future CO{sub 2}-emissions estimates. 7 refs., 12 tabs.

Cheng, Hsing C.

1990-08-01T23:59:59.000Z

55

Service Report Enwgy Information Administration Office of Energy Markets and End Use  

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

Enwgy Information Administration Enwgy Information Administration Office of Energy Markets and End Use U;S. Department of Energy Washington, O.C. 20585 ^ ± SR-EEUD--84-I leather izat ion Program Evaluation §]*: b? .. Gerald E. Pealjody of Energy Markets and End Use Energy End Use Division August 20, 1984 This raport has not received a complete technical review by the Energy In formation Administration (E1A) and, therefore, should not be represented as an official EIA product. |||lsS|; program in 198 l^^lRia; study is based -on a scatii;f|^ipiiii|', national samp 1* Of : - households chac aarcicipscac in the pr; 3 §S||tMi-lfc|Sis2?ia covers ;he ^tiecrr^n: of conditions under vhich the p This ,s«;;5^H:«lil-lSi|iuGcaG ac che requesic of :rva

56

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

57

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

2 End Uses of Fuel Consumption, 2006; 2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel -- 41 133 23 2,119 8 547 -- Conventional Boiler Use -- 41 71 17 1,281 8 129 -- CHP and/or Cogeneration Process -- -- 62 6 838 1 417 -- Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487

58

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

59

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

60

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;  

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

1 End Uses of Fuel Consumption, 2006; 1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use -- 12,109 11 3 1,245 2 6 -- CHP and/or Cogeneration Process

Note: This page contains sample records for the topic "detailed energy end-use" 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

Conoco details energy outlook  

Science Conference Proceedings (OSTI)

This paper reports that the U.S., government should adopt policies that encourage U.S. petroleum companies to diversify crude oil sources around the world, says Conoco Inc. That's the key them underlying Conoco's latest world energy outlook through 2000. In its 1989 outlook, Conoco called on the U.S. government to open the Arctic National Wildlife Refuge Coastal Plain to exploration and development and provide a tax credit of $5/bbl of oil equivalent (BOE) for production from U.S. frontier areas as keys to reducing U.S. oil import dependence. Although Conoco included opening the ANWR Coastal Plain and more of the U.S. offshore among U.S. policy recommendations in its current outlook, the company placed the greatest emphasis on incentives for worldwide exploration.

Not Available

1992-06-22T23:59:59.000Z

62

Project on restaurant energy performance: end-use monitoring and analysis. Appendixes I and II  

Science Conference Proceedings (OSTI)

This is the second volume of the report, ''The Porject on Restaurant Energy Performance - End-Use Monitoring and Analysis''. The first volume (PNL-5462) contains a summary and analysis of the metered energy performance data collected by the Project on Restaurant Energy Performance (PREP). Appendix I, presented here, contains monitoring site descriptions, measurement plans, and data summaries for the seven restaurants metered for PREP. Appendix II, also in this volume, is a description of the PREP computer system.

Claar, C.N.; Mazzucchi, R.P.; Heidell, J.A.

1985-05-01T23:59:59.000Z

63

Microsoft Word - US Industrial Sector Energy End Use Analysis_051812.docx  

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

United States Industrial Sector Energy End Use Analysis United States Industrial Sector Energy End Use Analysis Arman Shehabi, William R. Morrow, Eric Masanet This work was supported by the Advanced Manufacturing Office of the Energy Efficiency and Renewable Energy Program through the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. 2 Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process

64

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

65

Energy Information Administration - Energy Efficiency, Table 6b-End Uses of  

Gasoline and Diesel Fuel Update (EIA)

and 2002 > Table 6b and 2002 > Table 6b Table 6b. End Uses of Energy per Ton of Steel, 1998, 2002, and 2006 (thousand Btu per ton) MECS Survey Years Iron and Steel Mills (NAICS1 331111) 19982 20022 20062 Total3 16,957 15,884 17,796 Net Electricity 4 1,602 2,009 4,673 Natural Gas 4,625 4,236 5,969 Coal 487 393 214 Boiler Fuel -- -- -- Coal 81 W 10 Residual Fuel Oil 101 W 266 Natural Gas 527 426 276 Process Heating -- -- -- Net Electricity 751 862 830 Residual Fuel Oil 193 W 112 Natural Gas 3,742 3,592 2,776 Machine Drive -- -- -- Net Electricity 690 939 786 Notes: 1. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills.

66

"Table B25. Energy End Uses, Floorspace for Non-Mall Buildings, 2003"  

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

5. Energy End Uses, Floorspace for Non-Mall Buildings, 2003" 5. Energy End Uses, Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Buildings*","Energy Used For (more than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manu- facturing" "All Buildings* ...............",64783,60028,56940,56478,22237,3138 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",6789,5668,5007,4759,997,"Q" "5,001 to 10,000 ..............",6585,5786,5408,5348,1136,214 "10,001 to 25,000 .............",11535,10387,9922,9562,1954,472 "25,001 to 50,000 .............",8668,8060,7776,7734,2511,"Q"

67

End-use energy consumption estimates for US commercial buildings, 1989  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs within the Department of Energy, by utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1989 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Billing data for electricity and natural gas were first decomposed into weather and nonweather dependent loads. Subsequently, Statistical Adjusted Engineering (SAE) models were estimated by building type with annual data. The SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption. End-use consumption by fuel was estimated for each of the 5,876 buildings in the 1989 CBECS. The report displays the summary results for eleven separate building types as well as for the total US commercial building stock.

Belzer, D.B.; Wrench, L.E.; Marsh, T.L. [Pacific Northwest Lab., Richland, WA (United States)

1993-11-01T23:59:59.000Z

68

End-use energy consumption estimates for U.S. commercial buildings, 1992  

SciTech Connect

An accurate picture of how energy is used in the nation`s stock of commercial buildings can serve a variety of program planning and policy needs of the US Department of Energy, utilities, and other groups seeking to improve the efficiency of energy use in the building sector. This report describes an estimation of energy consumption by end use based upon data from the 1992 Commercial Building Energy Consumption Survey (CBECS). The methodology used in the study combines elements of engineering simulations and statistical analysis to estimate end-use intensities for heating, cooling, ventilation, lighting, refrigeration, hot water, cooking, and miscellaneous equipment. Statistical Adjusted Engineering (SAE) models were estimated by building type. The nonlinear SAE models used variables such as building size, vintage, climate region, weekly operating hours, and employee density to adjust the engineering model predicted loads to the observed consumption (based upon utility billing information). End-use consumption by fuel was estimated for each of the 6,751 buildings in the 1992 CBECS. The report displays the summary results for 11 separate building types as well as for the total US commercial building stock. 4 figs., 15 tabs.

Belzer, D.B.; Wrench, L.E.

1997-03-01T23:59:59.000Z

69

Estimates of Energy Consumption by Building Type and End Use at U.S. Army Installations  

E-Print Network (OSTI)

5-5. 1993 Electricity Consumption Estimates by End Use forft ) 1993 Electricity Consumption Estimates by End Use forTotal) 1993 Electricity Consumption Estimates by End Use for

Konopacki, S.J.

2010-01-01T23:59:59.000Z

70

Average regional end-use energy price projections to the year 2030  

Science Conference Proceedings (OSTI)

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration's (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-01-01T23:59:59.000Z

71

Average regional end-use energy price projections to the year 2030  

SciTech Connect

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration`s (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-12-31T23:59:59.000Z

72

How many people actually see the price signal? Quantifying marketfailures in the end use of energy  

SciTech Connect

"Getting the price right" is a goal of many market-orientedenergy policies. However, there are situations where the consumer payingfor the energy is separate from the owner of the energy-using device.Economists call this a "principal agent problem". A team organised by theInternational Energy Agency examined seven end uses and one sector whereprincipal agent problems existed: refrigerators, water heating, spaceheating, vending machines, commercial HVAC, company cars, lighting, andfirms. These investigations took place in Australia, Japan, theNetherlands, Norway, and the United States. About 2 100 percent of theenergy consumed in the end uses examined was affected by principal agentproblems. The size (and sometimes even the existence) varied greatly fromone country to another but all countries had significant amounts ofenergy affected by principal agent problems. The presence of a marketfailure does not mean that energy use would fall substantially if thefailure were eliminated; however it does suggest that raising energyprices such as in the form of carbon taxes will not necessarily increaseefficiency investments.

Meier, Alan; Eide, Anita

2007-09-01T23:59:59.000Z

73

Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)  

Reports and Publications (EIA)

Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

Information Center

2007-03-11T23:59:59.000Z

74

Project on restaurant energy performance end-use monitoring and analysis  

Science Conference Proceedings (OSTI)

This paper summarizes the results of a research program intended to build an understanding of restaurant energy performance upon an empirical foundation. This discussion provides some background for this effort, brief descriptions of the facilities selected for study, the measurement methods, the empirical findings, an overview of conservation opportunities revealed, and general conclusions. Seven monitoring sites were carefully selected to represent the most common categories of food service by the National Restaurant Association. A microcomputer based data acquisition was designed and implemented to acquire 15-minute interval data on end-use energy consumption, interior temperatures, and external climate conditions for a one year monitoring period. The project archived over 87% of the available data, which has been converted into several formats for dissemination. Restaurants are found to be very intensive users of energy due largely to the frequent usage of food preparation equipment and the high ventilation requirements.

Mazzucchi, R.P.

1986-04-01T23:59:59.000Z

75

Hot Water Electric Energy Use in Single-Family Residences in the Pacific Northwest : Regional End-Use Metering Project (REMP).  

SciTech Connect

The Office of Energy Resources of the Bonneville Power Administration carriers out generation and conservation resource planning. The analysis of historical trends in and determinants of energy consumption is carried out by the office's End-Use Research Section. The End-Use Research Section operates a comprehensive data collection program to provide pertinent information to support demand-side conservation planning, load forecasting, and conservation program development and delivery. Part of this on-going program, commonly known as the End-Use Load and Consumer Assessment Program (ELCAP), was recently renamed the Regional End-Use Metering Project (REMP) to reflect an emphasis on metering rather than analytical activities. REMP is designed to collect electricity usage data through direct monitoring of end-use loads in buildings in the residential and commercial sectors and is conducted for Bonneville by Pacific Northwest Laboratories (Battelle). The detailed summary information in this report is on energy used for water heaters in the residential sector and is based on data collected from September 1985 through December 1990 for 336 of the 499 REMP metered homes. Specific information is provided on annual loads averaged over the years and their variation across residences. Descriptions are given of use as associated with demographic and energy-related characteristics. Summaries are also provided for electricity use by each year, month, and daytype, as well as at peak hot water load and peak system times. This is the second residential report. This report focuses on a specific end use and adds detail to the first report. Subsequent reports are planned on other individual end uses or sets of end uses. 15 refs., 29 figs., 10 tabs.

Taylor, Megan E., Ritland, Keith G., Pratt, R.G.

1991-09-01T23:59:59.000Z

76

The project on restaurant energy performance end-use monitoring and analysis  

SciTech Connect

This paper summarizes the results of a research program intended to build an understanding of restaurant energy performance upon an empirical foundation. This discussion provides some background for the effort, brief descriptions of the facilities selected for study, the methods of measurement, the empirical findings, an overview of conservation opportunities revealed, and general conclusions. Seven monitoring sites were carefully selected to represent the most common categories of food service by the National Restaurant Association. A microcomputer-based data acquisition was designed and implemented to acquire data at 15-minute intervals on end-use energy consumption, interior temperatures, and external climatic conditions for a one-year monitoring period. The project archived over 87% of the available data, which have been converted into several formats for dissemination.

Mazzucchi, R.P.

1986-01-01T23:59:59.000Z

77

Development of an Energy Savings Benchmark for All Residential End-Uses: Preprint  

DOE Green Energy (OSTI)

To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America Research Benchmark in 2003. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines, with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. A series of user profiles, intended to represent the behavior of a''standard'' set of occupants, was created for use in conjunction with the Benchmark. Finally, a set of tools was developed by NREL and other Building America partners to help analysts compare whole-house energy use for a Prototype house to the Benchmark in a fair and consistent manner.

Hendron, R.; Anderson, R.; Christensen, C.; Eastment, M.; Reeves, P.

2004-08-01T23:59:59.000Z

78

Energy end-use metering in two modular office buildings at Fort Irwin, California  

SciTech Connect

This report documents the application of the Mobile Energy Laboratory (MEL) at Fort Irwin for the period 21 December 1989 to 27 January 1992. The purpose of the test was to monitor electrical demands in Buildings 567 and 571 by end use and to monitor the response of the HVAC systems to internal and external loads. Results of two years of monitoring are summarized below. The observed energy-use intensities (EUIs) were 13.7 kWh/ft{sup 2}-yr for Building 567 and 10.4 kWh/ft{sup 2}-yr for Building 571. The corresponding numbers for HVAC energy were 5.9 and 5.3 kWh/ft{sup 2}-yr. Lighting used about 35%, primary HVAC 40% (heating 8%, cooling 32%), supply fans 3% and other equipment (mostly plug loads) about 20% of the total. Over 10% of the primary HVAC energy used in Building 567 was the result of simultaneous heating and cooling. Six energy conservation measures were evaluated: (1) delamping and retrofit of T-12 fluorescent fixtures with T-8 systems; (2) installation of two-speed fans with operation at the lower speed (67% of rated airflow) during occupied periods whenever a unit is not heating or cooling; (3) retrofit of heat pump compressors with two-speed compressors; (4) installation of controls that eliminate non-productive simultaneous heating and cooling and provide improved night and weekend setback; (5) coating the existing black roof material with a white reflective material; and (6) adding an economizer system to provide outside air cooling. The estimated energy savings as a percent of whole-building energy use are: Lighting HVAC Savings -- 26%; Two-Speed Fans -- 2%; Two-Speed Compressors -- 11%; Improved HVAC Controls -- 5%; White Roof Coating -- 5%; Economizer Cooling -- 5 %. The total energy savings that can be achieved through the measures is 49%.

Armstrong, P.R.; Keller, J.M.

1994-01-01T23:59:59.000Z

79

Energy Information Administration - Energy Efficiency-Table 6a- End uses of  

Gasoline and Diesel Fuel Update (EIA)

6a 6a Page Last Modified: June 2010 Table 6a. End Uses of Fuel Consumption per Value of Production, 1998, 2002, and 2006 (thousand Btu per constant 2000 dollar 1) MECS Survey Years Iron and Steel Mills (NAICS2 331111) 1998 3 2002 3 2006 3 Total 4 32.0 30.2 18.7 Net Electricity 5 3.0 3.8 2.8 Natural Gas 8.7 8.1 5.3 Coal 0.9 0.7 0.2 Boiler Fuel -- -- -- Coal 0.2 W 0.02 Residual Fuel Oil 0.2 * 0.1 Natural Gas 1.0 0.8 0.4 Process Heating -- -- -- Net Electricity 1.4 1.6 1.2 Residual Fuel Oil 0.4 * 0.2 Natural Gas 7.1 6.8 4.4 Machine Drive -- -- -- Net Electricity 1.3 1.8 1.3 Notes:1. Value of production is deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills.

80

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

Science Conference Proceedings (OSTI)

This study assesses for California how increasing end-use electrical energy efficiency from installing residential insulation impacts exposures and disease burden from power-plant pollutant emissions. Installation of fiberglass attic insulation in the nearly 3 million electricity-heated homes throughout California is used as a case study. The pollutants nitrous oxides (NO{sub x}), sulfur dioxide (SO{sub 2}), fine particulate matter (PM2.5), benzo(a)pyrene, benzene, and naphthalene are selected for the assessment. Exposure is characterized separately for rural and urban environments using the CalTOX model, which is a key input to the US Environmental Protection Agency (EPA) Tool for the Reduction and Assessment of Chemicals and other environmental Impacts (TRACI). The output of CalTOX provides for urban and rural populations emissions-to-intake factors, which are expressed as an individual intake fraction (iFi). The typical iFi from power plant emissions are on the order of 10{sup -13} (g intake per g emitted) in urban and rural regions. The cumulative (rural and urban) product of emissions, population, and iFi is combined with toxic effects factors to determine human damage factors (HDFs). HDF are expressed as disability adjusted life years (DALYs) per kilogram pollutant emitted. The HDF approach is applied to the insulation case study. Upgrading existing residential insulation to US Department of Energy (DOE) recommended levels eliminates over the assmned 50-year lifetime of the insulation an estimated 1000 DALYs from power-plant emissions per million tonne (Mt) of insulation installed, mostly from the elimination of PM2.5 emissions. In comparison, the estimated burden from the manufacture of this insulation in DALYs per Mt is roughly four orders of magnitude lower than that avoided.

McKone, Thomas E.; Lobscheid, A.B.

2006-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "detailed energy end-use" 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

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

4 End Uses of Fuel Consumption, 2006; 4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

82

Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm  

SciTech Connect

The Southern California Edison Company (SCE) has conducted an extensive metering project in which electricity end use in 53 commercial buildings in Southern California has been measured. The building types monitored include offices, retail stores, groceries, restaurants, and warehouses. One year (June 1989 through May 1990) of the SCE measured hourly end-use data are reviewed in this report. Annual whole-building and end-use energy use intensities (EUIs) and monthly load shapes (LSs) have been calculated for the different building types based on the monitored data. This report compares the monitored buildings' EUIs and LSs to EUIs and LSs determined using whole-building load data and the End-Use Disaggregation Algorithm (EDA). Two sets of EDA determined EUIs and LSs are compared to the monitored data values. The data sets represent: (1) average buildings in the SCE service territory and (2) specific buildings that were monitored.

Akbari, H.; Rainer, L.; Heinemeier, K.; Huang, J.; Franconi, E.

1993-01-01T23:59:59.000Z

83

A Study of Achievable Potential for Transmission and Disitribution Loss Reduction and End-Use Energy Efficiency for Eskom  

Science Conference Proceedings (OSTI)

This report documents the results of a study undertaken to assess the "end-to-end" achievable efficiency potential for Eskoms electrical system. The assessment includes potential energy and demand savings estimates due to transmission and distribution loss reduction measures and implementation of end-use energy-efficiency measures over the period of 20122030.

2012-08-14T23:59:59.000Z

84

Buildings and Energy in the 80's -- Detailed Tables  

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

Detailed Tables Detailed Tables Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980 Residential Energy Consumption Survey and Form EIA-871 of the 1989 Commercial Buildings Energy Consumption Survey. This report introduces several innovations in energy data reporting that complement the previously published triennial reports of the Residential Energy Consumption Survey (RECS) and the Commercial Buildings Energy Consumption Survey (CBECS). (1) Both residential and commercial sector buildings data are presented together in the report. Common units of analysis, the residential or commercial building and floorspace, are used to facilitate comparison.17 (2) Unlike the triennial RECS and CBECS that

85

Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3

86

INTERNATIONAL RESIDENTIAL ENERGY END USE DATA: ANALYSIS OF HISTORICAL AND PRESENT DAY STRUCTURE AND DYNAMICS  

E-Print Network (OSTI)

or about knowledge of the energy problem in general. Manydo not care about energy problems or conservation. A recentuse. THE RESIDENTIAL ENERGY TJSE PROBLEM A characteristic of

Schipper, Lee

2013-01-01T23:59:59.000Z

87

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2  

E-Print Network (OSTI)

State Solid Waste Management Board Energy Analysis ofto Solid Waste Utilization as an Energy Source. Gordianto Solid Waste Utilization as an Energy Source. Washington,

Authors, Various

2011-01-01T23:59:59.000Z

88

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

report LBNL-59669. California Energy Commission, PIER. XXX-Prepared for The California Energy Commission (Contractwas supported by the California Energy Commission and the US

McKone, Thomas E.

2011-01-01T23:59:59.000Z

89

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

explicit analysis of emissions added by electrical energy toanalysis of the emissions added by electrical energy to

McKone, Thomas E.

2011-01-01T23:59:59.000Z

90

CBECS - Buildings and Energy in the 1980's - Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Total Residential and Commercial Primary Consumption by Type of Building Sources: Energy Information Administration, Office of Energy Markets and End Use, EIA-457 of the 1980...

91

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2  

E-Print Network (OSTI)

Conversion and Cogeneration Systems. Berkeley, California: Energy andto usable energy. The least efficient fuel conversion systemconversion systems: in a high par- ticipation scenario, it ranks first, while at a medium level of participation the energy

Authors, Various

2011-01-01T23:59:59.000Z

92

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

gas, oil, and waste-to-energy (WTE) fired electricityoil, natural gas, or waste-to-energy, or WTE), the generalthose plants burning waste-to- energy (WTE) fuels, such as

McKone, Thomas E.

2011-01-01T23:59:59.000Z

93

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

energy efficiency improvements in California . 43 Commercialization Potential (not applicable) . .44 Recommendations 44 Benefits to California .. 45 References .. 46 Glossary

McKone, Thomas E.

2011-01-01T23:59:59.000Z

94

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1  

E-Print Network (OSTI)

energy consumption in each sector (e.g. per capita value of industrial shipments, travel demand, rate of increase

Authors, Various

2011-01-01T23:59:59.000Z

95

Table B19. Energy End Uses, Number of Buildings and Floorspace...  

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

Buildings","Energy Used For (more than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manufact-uring",,"Space Heating","Cooling","Water...

96

Canadian Residential Energy End-use Data and Analysis Centre CREEDAC, Dalhousie University  

E-Print Network (OSTI)

], the Modified STAR-HOUSING database (STAtistically Representative HOUSING Stock) [Scanada, 1992, Thermal the Modified STAR-HOUSING database, the 1993/94 "200-House Audit" project, HOT2000 default values and minor annual unit energy consumption (UEC) of houses in the SHEU database. The accuracy of the annual energy

97

Table 2.5 Household Energy Consumption and Expenditures by End Use ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook ... 1984: 20.66: 4.62: 8.51: 2.00: 35.79: 7.06: 6.63: 6.44: 1.09.58: 14.74: 2.31: 36.36.54: 39.21: 1987: 18.05: 5 ...

98

Assessment of U.S. Electric End-Use Energy Efficiency Potential  

SciTech Connect

Demand-side management holds significant potential to reduce growth in U.S. energy consumption and peak demand, and in a cost-effective manner. But significant policy interventions will be required to achieve these benefits. (author)

Gellings, Clark W.; Wikler, Greg; Ghosh, Debyani

2006-11-15T23:59:59.000Z

99

Manufacturing Consumption of Energy 1994 - Derived measures of end-use  

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

eialogo eialogo Calculation of MECS Energy Measures Reported energy values were used to construct several derived values, which, in turn, were used to prepare the estimates appearing in MECS consumption tables--First Use, Total Inputs, Offsite-Produced. These derived values are displayed in Table 1 and defined as follows: Energy produced offsite and consumed as a fuel. This derived value represents onsite consumption of fuels that were originally produced offsite. That is, they arrived at the establishment as the result of a purchase or were transferred to the establishment from outside sources. As such, this derived value is equivalent to consumption of "purchased" fuels as reported by the Census Bureau for the years 1974-1981. The Census Bureau defines "purchased" fuels to include those actually purchased plus those

100

Property:Project Details | Open Energy Information  

Open Energy Info (EERE)

Details Details Jump to: navigation, search Property Name Project Details Property Type Text Pages using the property "Project Details" Showing 25 pages using this property. (previous 25) (next 25) M MHK Projects/40MW Lewis project + Aquamarine Power is developing its first commercial 40MW Oyster wave farm off the north-west coast of Lewis in Scotland. The company was granted an exclusive option on the site by UK seabed owner The Crown Estate in May 2011. MHK Projects/ADM 3 + 1/4 scale model MHK Projects/ADM 4 + Shore based PTO test MHK Projects/ADM 5 + Framework 7 program of the European Union MHK Projects/AW Energy EMEC + AW Energy successfully demonstrated a 1:3 scale prototype device at EMEC (European Marine Energy Center) in both calm and rough winter conditions. Bottom wave velocity measurements were taken concurrently using a Doppler device.

Note: This page contains sample records for the topic "detailed energy end-use" 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

Understanding Superconducting Magnetic Energy Storage (SMES) technology, applications, and economics, for end-use workshop  

DOE Green Energy (OSTI)

The overall objective of this project was to determine the state-of-the-art and to what extent existing SMES is a viable option in meeting the needs of utilities and their customers for improving electric service power quality. By defining and analyzing SMES electrical/mechanical performance characteristics, and comparing SMES application benefits with competitive stored energy systems, industry will be able to determine SMES unique applications and potential market penetration. Building on this information base, it would also be possible to evaluate the impact of high temperature superconductors (77 K and 20-35 K) on SMES technology applications. The authors of this report constructed a network of industry contacts and research consultants that were used to collect, update, and analyze ongoing SMES R&D and marketing activities in industries, utilities, and equipment manufacturers. These key resources were utilized to assemble performance characteristics on existing SMES, battery, capacitor, flywheel, and high temperature superconductor (HTS) stored energy technologies. From this information, preliminary stored energy system comparisons were accomplished. In this way, the electric load needs would be readily comparable to the potential solutions and applications offered by each aforementioned energy storage technology.

Ferraro, R.J. [Ferraro, Oliver, and Associates, Inc., Knoxville, TN (United States); McConnell, B.W. [Oak Ridge National Lab., TN (United States)

1993-06-01T23:59:59.000Z

102

Letter Report on Testing of Distributed Energy Resource, Microgrid, and End-Use  

E-Print Network (OSTI)

Prius Hybrid vehicles from the Hawaii State Motor Pool become available. These vehicles were converted at no-cost to this project and included in the Hymotion Prius Conversion PHEV Demonstration program run.energy.gov/vehiclesandfuels/avta/pdfs/phev/hymotion_prius_wrapup_inl-ext-11- 23746.pdf. In addition, due

103

Canadian Residential Energy End-use Data and Analysis Centre CREEDAC, Dalhousie University  

E-Print Network (OSTI)

envelope by adding insulation, and the replacement of the existing heating system and appliances by higher 3 1,437 N/A 40 266 0.03 Cooking appliances 11 374 N/A 40 284 0.03 High efficiency lighting 99 719 9 Appliance Upgrade Scenarios Minor Appliance Upgrade Scenarios Energy Savings For the entire housing stock

104

Canadian Residential Energy End-use Data and Analysis Centre CREEDAC, Dalhousie University  

E-Print Network (OSTI)

of the data from the 1997 Survey of Household Energy Use (1997 SHEU) database (Statistics Canada, 1998), the Modified STAR-HOUSING database (STAtistically Representative HOUSING Stock) (Scanada, 1992; Ugursal, 1994), the 1993/94 "200-House Audit" project (NRCan, 1994), the 1994 New Housing Survey (NHS) database (NRCan

105

1995 Detailed Tables  

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

Households, Buildings & Industry > Commercial Buildings Energy Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Summary Table—All Principal Buildings Activities (HTML Format) Background information on detailed tables: Description of Detailed Tables and Categories of Data Statistical Significance of Data

106

Housing Characteristics Detailed Tables - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration. United States Department of Energy 1997 RESIDENTIAL ENERGY CONSUMPTION SURVEY HOUSING CHARACTERISTICS DETAILED DATA TABLES (FINAL)

107

Show details for [Energy Storage III: Materials ...  

Science Conference Proceedings (OSTI)

Show details for [ACerS ACerS Arthur L. Friedberg Memorial Lecture. Show details for [ACerS ACerS Cooper Award...

108

Measured commercial load shapes and energy-use intensities and validation of the LBL end-use disaggregation algorithm. Final report  

SciTech Connect

The Southern California Edison Company (SCE) has conducted an extensive metering project in which electricity end use in 53 commercial buildings in Southern California has been measured. The building types monitored include offices, retail stores, groceries, restaurants, and warehouses. One year (June 1989 through May 1990) of the SCE measured hourly end-use data are reviewed in this report. Annual whole-building and end-use energy use intensities (EUIs) and monthly load shapes (LSs) have been calculated for the different building types based on the monitored data. This report compares the monitored buildings` EUIs and LSs to EUIs and LSs determined using whole-building load data and the End-Use Disaggregation Algorithm (EDA). Two sets of EDA determined EUIs and LSs are compared to the monitored data values. The data sets represent: (1) average buildings in the SCE service territory and (2) specific buildings that were monitored.

Akbari, H.; Rainer, L.; Heinemeier, K.; Huang, J.; Franconi, E.

1993-01-01T23:59:59.000Z

109

Industrial sector end use. Energy Consumption Data Base (ECDB) for 1975 and 1976. Volume I. Summary of 1976 results. Final report  

SciTech Connect

This report is the summary document of a three-volume report. It contains an introduction followed by tables of data containing the following information: 1976 national energy consumption by industry fuel type, and end use; 1976 regional energy consumption by industry fuel type, and census division; 1976 regional energy consumption by industry fuel type, and federal regions; 1976 regional energy consumption by industry fuel type, and PAD district; 1976 state energy consumption by industry fuel type, and by state. (PLG)

1980-12-15T23:59:59.000Z

110

Integrated estimation of commercial sector end-use load shapes and energy use intensities in the PG&E service area  

SciTech Connect

This project represents a unique research effort to address the commercial sector end-use energy forecasting data needs of the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). The object of the project was to develop an updated set of commercial sector end-use energy use intensity (EUI) data that has been fully reconciled with measured data. The research was conducted in two stages. First, we developed reconciled electricity end-use EUIs and load shapes for each of the 11 building types in the inland and coastal regions of the PG&E service territory using information collected in 1986. Second, we developed procedures to translate these results into a consistent set of commercial sector forecasting model inputs recognizing the separate modeling conventions used by PG&E and CEC. EUIs have been developed for: II commercial building types; up to 10 end uses; up to 3 fuel types; 2 and 5 subservice territory forecasting regions (as specified by the PG&E and CEC forecasting models, respectively); and up to 2 distinct vintages corresponding to the period prior to and immediately following the adoption of the first generation of California building and equipment standards. For the electricity end uses, 36 sets of daily load shapes have been developed representing average weekday, average weekend, and peak weekday electricity use for each month of the year by building type for both the inland and coastal climate zones.

Akbari, H.; Eto, J.; Konopacki, S.; Afzal, A.; Heinemeier, K.; Rainer, L.

1993-12-01T23:59:59.000Z

111

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2002;" 8 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal","RSE" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)","Factors"

112

NREL: News - NREL Releases Renewable Energy Data Book Detailing...  

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

Release NR-6113 NREL Releases Renewable Energy Data Book Detailing Growing Industry in 2012 November 21, 2013 The National Renewable Energy Laboratory (NREL) has released the 2012...

113

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

investment, behaviour, energy price, consumers Abstract suggest that raising energy pricessuch as in the form ofconsumers actually see energy prices and are therefore

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

114

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

1991) The Issue of Domestic Energy Market Failure. Canberra,information in energy service markets leading to problemsis a goal of many market-oriented energy policies. However,

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

115

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

to minimize energy and environmental problems by placingprincipal agent problem, energy efficiency, investment,Agent Problem on US Residential Energy Use. Berkeley (CA),

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

116

End-use taxes: Current EIA practices  

Science Conference Proceedings (OSTI)

There are inconsistencies in the EIA published end-use price data with respect to Federal, state, and local government sales and excise taxes; some publications include end-use taxes and others do not. The reason for including these taxes in end-use energy prices is to provide consistent and accurate information on the total cost of energy purchased by the final consumer. Preliminary estimates are made of the effect on prices (bias) reported in SEPER (State Energy Price and Expenditure Report) resulting from the inconsistent treatment of taxes. EIA has undertaken several actions to enhance the reporting of end-use energy prices.

Not Available

1994-08-17T23:59:59.000Z

117

Federal Energy Management Program: FEMP News Archives NewsDetail  

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

News & Events News & Events Site Map Printable Version Share this resource Send a link to Federal Energy Management Program: FEMP News Archives NewsDetail to someone by E-mail Share Federal Energy Management Program: FEMP News Archives NewsDetail on Facebook Tweet about Federal Energy Management Program: FEMP News Archives NewsDetail on Twitter Bookmark Federal Energy Management Program: FEMP News Archives NewsDetail on Google Bookmark Federal Energy Management Program: FEMP News Archives NewsDetail on Delicious Rank Federal Energy Management Program: FEMP News Archives NewsDetail on Digg Find More places to share Federal Energy Management Program: FEMP News Archives NewsDetail on AddThis.com... News Events Back to News News Archives - 2014 There are no news archives for this year.

118

How many people actually see the price signal? Quantifying market failures in the end use of energy  

E-Print Network (OSTI)

the tenant. If energy prices rise (from market fluctuationsenergy consumption that is affected by a market failure and insulated from pricemarket barriers, principal agent problem, energy efficiency, investment, behaviour, energy price,

Meier, Alan; Eide, Anita

2007-01-01T23:59:59.000Z

119

Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting. DE-AC03-76SF00098 #12;i ABSTRACT This report details the data, assumptions and methodology for end-use provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

120

Details Details... The Impact of Market Rules on Emerging "Green" Energy Markets  

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

1812 1812 Details, Details . . . The Impact of Market Rules on Emerging "Green" Energy Markets Ryan Wiser, Steven Pickle, and Joseph Eto Environmental Energy Technologies Division September 1998 The work described in this study was funded by the Assistant Secretary of Energy Efficiency and Renewable Energy, Office of Utility Technologies of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098. For the sake of this paper, green power is defined as electricity that is differentiated based on its environmental attributes. 1 As a practical matter, nearly all such green power products include renewable energy. To the extent that customer purchases of green power offset conventional power supply, net environmental gains can be expected. 1 ABSTRACT

Note: This page contains sample records for the topic "detailed energy end-use" 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

Microsoft Word - Methods for Detailed Energy Data Collection...  

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

provides a detailed energy estimate for each product category, data for shipment, stock, 7 device power consumption, and usage patterns are subject to different, and often...

122

Survey-guided load research: An end-use analysis methodology test  

SciTech Connect

Energy use by end-use equipment is a function of the rated capacity of the equipment, frequency of use, and duration of each use. Many end used include multiple states, each with a different capacity, frequency, and duration. Some equipment provides benefits that are related to other uses, resulting in an indirect linkage between the primary energy-using equipment and the end use. Water heaters are one example. End-use metering of energy-using equipment provides the most accurate measure of energy use. Nevertheless, this energy-use ``signal`` is buried in background ``noise`` due to variations in the capacity, frequency, and duration of each end use and end user. Reliable estimates of energy use depend on a variety of methods to increase the ``signal-to-noise`` ratio (i.e., reduce the variance). Research of the energy consumption of household end-uses contains some inherent sampling problems: intrusiveness, cost, extensive data generated, analyses are time and computationally intensive. The goal of the methodology test described in this paper was to address these problems through a method that focused end-use analyses on a limited set of issues and data for program evaluation purposes. The approach tested used a detailed survey of end-use metered subjects to identify the pattern of end-use behavior as an alternative to estimating the frequency and duration of each use from the end-use data itself.

Warwick, W.M.

1993-08-01T23:59:59.000Z

123

" Row: End Uses;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " ",," ","Distillate"," "," ","Coal"," " " ",,,"Fuel Oil",,,"(excluding Coal" " ","Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)","RSE" " ","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million","Row"

124

A detailed loads comparison of three building energy modeling programs:  

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

detailed loads comparison of three building energy modeling programs: detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Title A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Publication Type Journal Year of Publication 2013 Authors Zhu, Dandan, Tianzhen Hong, Da Yan, and Chuang Wang Date Published 05/2013 Keywords building energy modeling program, building thermal loads, comparison, dest, DOE-2.1E, energyplus Abstract Building energy simulation is widely used to help design energy efficient building envelopes and HVAC systems, develop and demonstrate compliance of building energy codes, and implement building energy rating programs. However, large discrepancies exist between simulation results from different building energy modeling programs (BEMPs). This leads many users and stakeholders

125

End-Use Taxes: Current EIA Practices  

Reports and Publications (EIA)

Addresses the Energy Information Administration's (EIA) current practices in treating taxes in the calculation of end use prices in the State Energy Price and Expenditure Report 1990 (SEPER), and other EIA data publications.

Information Center

1994-08-01T23:59:59.000Z

126

Transportation fuels and engines for optimum energy utilization: An assessment of energy consumption from resources through end use: Final report, Volume 1, August 1985 for the project, Technical assessment of future engines and alternative fuels  

DOE Green Energy (OSTI)

This study was initiated to investigate the potential for improving the resource utilization efficiency in the manufacture and end-use of fuels for transportation. While emphasis is placed on the development of fuels from coal and oil shale and on the engine technologies most suitable for those fuels, petroleum-derived fuels are considered as well. A necessary part of this study was to develop information about the energy efficiency of various steps of fuel processing, both with synthetic fuels and petroleum. The configurations of synthetic fuel processes and petroleum refineries are, of course, seemingly endless in number, so, in order to keep the study at a manageable and affordable scope, only a very limited number of synthetic fuel processes were investigated in detail and only major upgrading process operations were included.

Thomas, R.L.; Cornell, J.J.

1985-08-01T23:59:59.000Z

127

" Row: End Uses;"  

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

8 End Uses of Fuel Consumption, 2010;" 8 End Uses of Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)" ,"Total United States" "TOTAL FUEL CONSUMPTION",2886,79,130,5211,69,868

128

" Row: End Uses;"  

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

7 End Uses of Fuel Consumption, 2006;" 7 End Uses of Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." ,,,"Distillate",,,"Coal" ,,,"Fuel Oil",,,"(excluding Coal" ,"Net Demand","Residual","and","Natural Gas(c)","LPG and","Coke and Breeze)" ,"for Electricity(a)","Fuel Oil","Diesel Fuel(b)","(billion","NGL(d)","(million" "End Use","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)"

129

Power applications of high-temperature superconductivity: Variable speed motors, current switches, and energy storage for end use  

DOE Green Energy (OSTI)

The objective of this project is to conduct joint research and development activities related to certain electric power applications of high-temperature superconductivity (HTS). The new superconductors may allow development of an energy-efficient switch to control current to variable speed motors, superconducting magnetic energy storage (SMES) systems, and other power conversion equipment. Motor types that were considered include induction, permanent magnet, and superconducting ac motors. Because it is impractical to experimentally alter certain key design elements in radial-gap motors, experiments were conducted on an axial field superconducting motor prototype using 4 NbTi magnets. Superconducting magnetic energy storage technology with 0.25--5 kWh stored energy was studied as a viable solution to short duration voltage sag problems on the customer side of the electric meter. The technical performance characteristics of the device wee assembled, along with competing technologies such as active power line conditioners with storage, battery-based uninterruptible power supplies, and supercapacitors, and the market potential for SMES was defined. Four reports were prepared summarizing the results of the project.

Hawsey, R.A. [Oak Ridge National Lab., TN (United States); Banerjee, B.B.; Grant, P.M. [Electric Power Research Inst., Palo Alto, CA (United States)

1996-08-01T23:59:59.000Z

130

Table H2: Fuels and End Uses in Large Hospitals  

U.S. Energy Information Administration (EIA)

District Chilled Water ..... Propane ..... Space-Heating ... Cooling Energy Sources Water-Heating Energy Sources Cooking Energy Sources Energy End Uses (more than

131

Department of Energy Releases Details of Tribal Summit | Department of  

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

WASHINGTON, D.C. - U.S. Department of Energy today released details of the WASHINGTON, D.C. - U.S. Department of Energy today released details of the upcoming Tribal Summit with American Indian and Alaska Native Leaders that will be held on May 4-5, 2011, at the Crystal City Gateway Marriott in Arlington, Va. The summit will build on Secretary Chu's continued commitment to partnering with Native Americans to support the development of clean energy projects on tribal lands that will help reduce energy use, limit carbon pollution, and create new jobs for tribal communities across the country "Tribal Nations are well-positioned to take advantage of the benefits of clean energy. This summit will provide an opportunity for meaningful dialogue between the Department of Energy and Tribal Nations on a broad range of energy and environmental issues," said Secretary Chu. "Working

132

Methods for Detailed Energy Data Collection of Miscellaneous and Electronic  

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

Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Loads in a Commercial Office Building Title Methods for Detailed Energy Data Collection of Miscellaneous and Electronic Loads in a Commercial Office Building Publication Type Report Refereed Designation Unknown LBNL Report Number LBNL-6384E Year of Publication 2013 Authors Lanzisera, Steven, Stephen Dawson-Haggerty, Iris H. Y. Cheung, Jay Taneja, David Culler, and Richard E. Brown Date Published 04/2013 Keywords Commercial Office Building, Data Collection, Electronic loads Abstract Miscellaneous and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings, and this share is projected to increase for the foreseeable future. Our understanding, however, of which devices are most responsible for this energy use is still rudimentary due to the difficulty and expense of performing detailed studies on MELs and their energy use. In order to better understand the energy use of MELs and the design of MELs field metering studies, we conducted a year-long study of MELs in an 89,500 sq. ft. (8310 m2) office building.

133

Methods for detailed energy data collection of miscellaneous and electronic  

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

Methods for detailed energy data collection of miscellaneous and electronic Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building Title Methods for detailed energy data collection of miscellaneous and electronic loads in a commercial office building Publication Type Journal Article Year of Publication 2013 Authors Lanzisera, Steven, Stephen Dawson-Haggerty, Iris H. Y. Cheung, Jay Taneja, David Culler, and Richard E. Brown Journal Building and Environment Volume 65 Start Page 170 Pagination 170 - 177 Date Published 7/2013 ISSN 03601323 Keywords benchmarking, field study, MELs, office buildings, Plug-loads Abstract Miscellaneous and electronic loads (MELs) consume about 20% of the primary energy used in U.S. buildings, and this share is projected to increase for the foreseeable future. Our understanding, however, of which devices are most responsible for this energy use is still rudimentary due to the difficulty and expense of performing detailed studies on MELs and their energy use. In order to better understand the energy use of MELs and the design of MELs field metering studies, we conducted a year-long study of MELs in an 89,500 sq. ft. (8310 m2) office building. We present insights obtained from this study using 455 wireless plug-load power meters including the study design process, the tools needed for success, and key other methodology issues. Our study allowed us to quantify, for the study buildings, how many devices we needed to inventory and meter as well as for how long we needed to collect meter data. We find that the study design of earlier work would not have yielded accurate results in our study building. This paper presents these findings along with a brief summary of the energy related results.

134

Support in statistical analysis and data processing to the Office of Energy Markets and End Use, Energy Information Administration (EIA), at the Dept. of Energy. Final report  

SciTech Connect

Energy consumption and expenditure data were tabulated by various demographic characteristics on regional and divisional levels. The amount of energy used at the household level for space heating and other uses were determined from the monthly utility data on natural gas and electricity usage. Joint consumption of home fuels and motor fuels was tabulated.

Not Available

1984-02-28T23:59:59.000Z

135

1992 CBECS Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Detailed Tables Detailed Tables To download all 1992 detailed tables: Download Acrobat Reader for viewing PDF files. Yellow Arrow Buildings Characteristics Tables (PDF format) (70 tables, 230 pages, file size 1.39 MB) Yellow Arrow Energy Consumption and Expenditures Tables (PDF format) (47 tables, 208 pages, file size 1.28 MB) Yellow Arrow Energy End-Use Tables (PDF format) (6 tables, 6 pages, file size 31.7 KB) Detailed tables for other years: Yellow Arrow 1999 CBECS Yellow Arrow 1995 CBECS Background information on detailed tables: Yellow Arrow Description of Detailed Tables and Categories of Data Yellow Arrow Statistical Significance of Data 1992 Commercial Buildings Energy Consumption Survey (CBECS) Detailed Tables Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables:

136

Department of Energy Releases Details of Tribal Summit | Department of  

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

WASHINGTON, D.C. - U.S. Department of Energy today released details of the upcoming Tribal Summit with American Indian and Alaska Native Leaders that will be held on May 4-5, 2011, at the Crystal City Gateway Marriott in Arlington, Va. The summit will build on Secretary Chu's continued commitment to partnering with Native Americans to support the development of clean energy projects on tribal lands that will help reduce energy use, limit carbon pollution, and create new jobs for tribal communities across the country. "Tribal Nations are well-positioned to take advantage of the benefits of clean energy. This summit will provide an opportunity for meaningful dialogue between the Department of Energy and Tribal Nations on a broad range of energy and environmental issues," said Secretary Chu. "Working

137

Industrial Steam Power Cycles Final End-Use Classification  

E-Print Network (OSTI)

Final end uses of steam include two major classifications: those uses that condense the steam against heat transfer surfaces to provide heat to an item of process or service equipment; and those that require a mass flow of steam for stripping, dilution, a reaction ingredient, etc. These classifications are termed 'Btu' loads or 'Pound' loads. Some final end uses of steam are actually a combination of the two. The classification of steam loads is extremely important to the overall economics of the industrial plant steam system. These economic effects are explained in detail as they impact on both the thermal efficiency and the heat power cycle efficiency of an industrial system. The use of a powerful steam system mass and energy modeling program called MESA (Modular Energy System Analyzer, The MESA Company) in identifying and accurately evaluating these effects is described.

Waterland, A. F.

1983-01-01T23:59:59.000Z

138

ENERGY STAR score details by property type | ENERGY STAR  

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

property type Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy...

139

Part 5: For Detailed Information | Department of Energy  

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

5: For Detailed Information 5: For Detailed Information Part 5: For Detailed Information 42 U.S.C. §9601 et. seq., The Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) of 1980, as amended by the Superfund Amendments and Reauthorization Act of 1986 (SARA) 40 CFR Part 300, National Oil and Hazardous Substance Pollution Contingency Plan (NCP) (March 1990) Executive Order 12580: Superfund Implementation DOE Order 5400.4: CERCLA Requirements Policy on Decommissioning of Department of Energy Facilities Under CERCLA (May 22, 1995) Decommissioning Implementation Guide (May 1995) Guidance on Accelerating CERCLA Environmental Restoration at Federal Facilities (August 1994) This question and Answer Sheet is designed to provide answers to common questions regarding decommissioning under CERCLA. If you have questions or

140

Details, Details... The Impact of Market Rules on Emerging "Green " Energy Markets  

E-Print Network (OSTI)

Green power marketing is creating a customer-driven market for renewable energy resources, including solar, wind, geothermal, biomass, and hydropower. Yet there are a number of market barriers to the creation of a workable green power market, and the ultimate success of retail markets for green power products will depend critically on the detailed market rules established at the onset of restructuring and on a number of market facilitation efforts. By surveying green power marketers and reviewing regulatory filings, this paper identifies and analyzes the types of restructuring market rules and market facilitation efforts that impact the competitive market for electricity services broadly, and the retail market for green power specifically. Taking a marketer perspective as our point of reference, we emphasize those rules and efforts that most effectively target key market barriers and that might be most successful in expanding the market for retail green power products. This information should help those interested in encouraging the development of the green power market during the early years of electricity restructuring.

Ernest Orlando Lawrence; Ryan Wiser; Steven Pickle; Joseph Eto

1998-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "detailed energy end-use" 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

Biomass Resource Allocation among Competing End Uses  

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

Biomass Resource Allocation Biomass Resource Allocation among Competing End Uses Emily Newes, Brian Bush, Daniel Inman, Yolanda Lin, Trieu Mai, Andrew Martinez, David Mulcahy, Walter Short, Travis Simpkins, and Caroline Uriarte National Renewable Energy Laboratory Corey Peck Lexidyne, LLC Technical Report NREL/TP-6A20-54217 May 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Biomass Resource Allocation among Competing End Uses Emily Newes, Brian Bush, Daniel Inman,

142

" Row: End Uses within NAICS Codes;"  

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

1. End Uses of Fuel Consumption, 1998;" 1. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ","Coal"," "," " " "," ",,,,"Fuel Oil",,,"(excluding Coal" " "," "," ","Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)"," ","RSE"

143

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2006;" 2 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

144

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2002;" 2 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

145

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2010;" 4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

146

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2006;" 4 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)"

147

" Row: End Uses within NAICS Codes;"  

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

2. End Uses of Fuel Consumption, 1998;" 2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," "," ","Net","Residual","and",,"LPG and","(excluding Coal"," ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Factors"

148

" Row: End Uses within NAICS Codes;"  

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

4 End Uses of Fuel Consumption, 2002;" 4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Factors"

149

" Row: End Uses within NAICS Codes;"  

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

2 End Uses of Fuel Consumption, 2010;" 2 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f)" ,,"Total United States"

150

Energy-conserving and passive-solar construction details  

DOE Green Energy (OSTI)

Diagrams are presented which show construction details for insulating foundations, walls, joists, roofs, and other components of energy-conserving residential and light commercial buildings; glazing systems; installing thermal mass; rock beds; and a passive hot air collector. The emphasis is on using commercially available building materials in new applications to minimize costs and maximize thermal design. The costs are given which are typical of what builders have incurred in different parts of the country. The thermal performance figures and comments are included. (LEW)

Taylor, R D

1981-04-01T23:59:59.000Z

151

Solid-State Lighting: Residential Lighting End-Use Consumption  

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

Lighting End-Use Consumption Study aims to improve the understanding of lighting energy usage in U.S. residential dwellings using a regional estimation framework. The...

152

Quality Guidelines for Energy System Studies: Detailed Coal Specifications  

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

Q Q U U A A L L I I T T Y Y G G U U I I D D E E L L I I N N E E S S F F O O R R E E N N E E R R G G Y Y S S Y Y S S T T E E M M S S T T U U D D I I E E S S D D e e t t a a i i l l e e d d C C o o a a l l S S p p e e c c i i f f i i c c a a t t i i o o n n s s DOE/NETL-2010/???? DOE/NETL-401/012111 National Energy Technology Laboratory Office of Program Planning and Analysis 2 January 2012 Detailed Coal Specifications Quality Guidelines for Energy System Studies Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

153

Monitoring of Electrical End-Use Loads in Commercial Buildings  

E-Print Network (OSTI)

Southern California Edison is currently conducting a program to collect end-use metered data from commercial buildings in its service area. The data will provide actual measurements of end-use loads and will be used in research and in designing energy management programs oriented toward end-use applications. The focus of the program is on five major types of commercial buildings: offices, grocery stores, restaurants, retail stores, and warehouses. End-use metering equipment is installed at about 50 buildings, distributed among these five types. The buildings selected have average demands of 100 to 300 kW. The metered end-uses vary among building types and include HVAC, lighting, refrigeration. plug loads, and cooking. Procedures have been custom-designed to facilitate collection and validation of the end-use load data. For example, the Load Profile Viewer is a PC-based software program for reviewing and validating the end-use load data.

Martinez, M.; Alereza, T.; Mort, D.

1988-01-01T23:59:59.000Z

154

1999 CBECS Detailed Tables  

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

Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999 Commercial Buildings Energy Consumption Survey (CBECS) are presented in the Building Characteristics tables, which include number of buildings and total floorspace for various Building Characteristics, and Consumption and Expenditures tables, which include energy usage figures for major energy sources. A table of Relative Standard Errors (RSEs) is included as a worksheet tab in each Excel tables. Complete sets of RSE tables are also available in .pdf format. (What is an RSE?) Preliminary End-Use Consumption Estimates for 1999 | Description of 1999 Detailed Tables and Categories of Data

155

Biomass Resource Allocation among Competing End Uses  

DOE Green Energy (OSTI)

The Biomass Scenario Model (BSM) is a system dynamics model developed by the U.S. Department of Energy as a tool to better understand the interaction of complex policies and their potential effects on the biofuels industry in the United States. However, it does not currently have the capability to account for allocation of biomass resources among the various end uses, which limits its utilization in analysis of policies that target biomass uses outside the biofuels industry. This report provides a more holistic understanding of the dynamics surrounding the allocation of biomass among uses that include traditional use, wood pellet exports, bio-based products and bioproducts, biopower, and biofuels by (1) highlighting the methods used in existing models' treatments of competition for biomass resources; (2) identifying coverage and gaps in industry data regarding the competing end uses; and (3) exploring options for developing models of biomass allocation that could be integrated with the BSM to actively exchange and incorporate relevant information.

Newes, E.; Bush, B.; Inman, D.; Lin, Y.; Mai, T.; Martinez, A.; Mulcahy, D.; Short, W.; Simpkins, T.; Uriarte, C.; Peck, C.

2012-05-01T23:59:59.000Z

156

Commercial equipment loads: End-Use Load and Consumer Assessment Program (ELCAP)  

SciTech Connect

The Office of Energy Resources of the Bonneville Power Administration is generally responsible for the agency's power and conservation resource planning. As associated responsibility which supports a variety of office functions is the analysis of historical trends in and determinants of energy consumption. The Office of Energy Resources' End-Use Research Section operates a comprehensive data collection program to provide pertinent information to support demand-side planning, load forecasting, and demand-side program development and delivery. Part of this on-going program is known as the End-Use Load and Consumer Assessment Program (ELCAP), an effort designed to collect electricity usage data through direct monitoring of end-use loads in buildings. This program is conducted for Bonneville by the Pacific Northwest Laboratory. This report provides detailed information on electricity consumption of miscellaneous equipment from the commercial portion of ELCAP. Miscellaneous equipment includes all commercial end-uses except heating, ventilating, air conditioning, and central lighting systems. Some examples of end-uses covered in this report are office equipment, computers, task lighting, refrigeration, and food preparation. Electricity consumption estimates, in kilowatt-hours per square food per year, are provided for each end-use by building type. The following types of buildings are covered: office, retail, restaurant, grocery, warehouse, school, university, and hotel/motel. 6 refs., 35 figs., 12 tabs.

Pratt, R.G.; Williamson, M.A.; Richman, E.E.; Miller, N.E.

1990-07-01T23:59:59.000Z

157

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2010;" 3 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

158

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2002;" 1 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal" " "," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Other(f)","Row"

159

" Row: End Uses within NAICS Codes;"  

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

3. End Uses of Fuel Consumption, 1998;" 3. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal"," " " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)","RSE" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Row"

160

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2006;" 3 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ","Coal" " "," ",,,"Fuel Oil",,,"(excluding Coal" " "," ","Net Demand","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million"

Note: This page contains sample records for the topic "detailed energy end-use" 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

" Row: End Uses within NAICS Codes;"  

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

3 End Uses of Fuel Consumption, 2002;" 3 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" " "," ","for ","Residual","and","Natural ","LPG and","(excluding Coal","RSE" "NAICS"," ","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Gas(d)","NGL(e)","Coke and Breeze)","Row"

162

Energy Conservation: Policy Issues and End-Use Scenarios of Savings Potential -- Part 3, Policy Barriers and Investment Decisions in Industry  

E-Print Network (OSTI)

on Nu- clear and Alternative Energy Systems ( CONAES) andCommittee on Nuclear and Alternative Energy Systems (CONAES)on Nu- clear and Alternative Energy Systems (CONAES) and FEA

Benenson, Peter

2011-01-01T23:59:59.000Z

163

Federal Energy Management Program: FEMP News Archives NewsDetail  

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

October November January Energy Department Awards 10 Million to Develop Advanced Biofuels Pinpointing America's Geothermal Resources with Open Source Data Renewable Energy Tax...

164

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2006;" 1 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

165

" Row: End Uses within NAICS Codes;"  

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

1 End Uses of Fuel Consumption, 2010;" 1 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding Coal" ,,,"Net","Residual","and","Natural Gas(d)","LPG and","Coke and Breeze)" "NAICS",,"Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","NGL(e)","(million","Other(f)" "Code(a)","End Use","(trillion Btu)","(million kWh)","(million bbl)","(million bbl)","cu ft)","(million bbl)","short tons)","(trillion Btu)"

166

Monitoring of electrical end-use loads in commercial buildings  

Science Conference Proceedings (OSTI)

A California utility is currently conducting a program to collect end-use metered data from commercial buildings in its service area. The data will provide actual measurements of end-use loads and will be used in research and in designing energy management programs oriented toward end-use applications. The focus of the program is on five major types of commercial buildings: offices, grocery stores, restaurants, retail stores, and warehouses. End-use metering equipment is installed at about 50 buildings selected have average demands of 100kW to 300 kW. The metered end-uses vary among building types and include HVAC, lighting, refrigeration, plug loads, and cooking. Procedures have been custom-designed to facilitate collection and validation of the end-use load data. PC-based software programs have been developed for reviewing and validating the end-sue load data and for generating reports.

Martinez, M. (Southern California Edison, CA (US)); Alereza, T.; Mort, D. (ADM Associates, Sacramento, CA (US))

1989-01-01T23:59:59.000Z

167

Strategic cost-benefit analysis of energy policies: detailed projections  

DOE Green Energy (OSTI)

Current US energy policy includes many programs directed toward restructuring the energy system in order to decrease US dependence on foreign supplies and to increase our reliance on plentiful and environmentally benign energy forms. However, recent events have led to renewed concern over the direction of current energy policy. This study describes three possible energy strategies and analyzes each in terms of its economic, environmental, and national security benefits and costs. Each strategy is represented by a specific policy. In the first, no additional programs or policies are initiated beyond those currently in effect or announced. The second is directed toward reducing the growth in energy demand, i.e., energy conservation. The third promotes increased domestic supply through accelerated development of synthetic and unconventional fuels. The analysis focuses on the evaluation and comparison of these strategy alternatives with respect to their energy, economic, and environmental consequences. Results indicate that conservation can substantially reduce import dependence and slow the growth of energy demand, with only a small macroeconomic cost and with substantial environmental benefits; the synfuels policy reduces imports by a smaller amount, does not reduce the growth in energy demand, involves substantial environmental costs and slows the rate of economic growth. These relationships could be different if the energy savings per unit cost for conservation are less than anticipated, or if the costs of synthetic fuels can be significantly lowered. Given these uncertainties, both conservation and RD and D support for synfuels should be included in future energy policy. However, between these policy alternatives, conservation appears to be the preferred strategy. The results of this study are presented in three reports (see also BNL--51105 and BNL--51128). 11 references, 3 figures, 61 tables.

Davitian, H.; Groncki, P.J.; Kleeman, P.; Lukachinski, J.

1979-10-01T23:59:59.000Z

168

Residential energy survey provides greater detail on many more ...  

U.S. Energy Information Administration (EIA)

About 70% of households in California use energy-efficient light bulbs, compared to 47% of households in Pennsylvania. Almost half (48%) ...

169

DOE provides detailed onshore wind resource map - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... solar, wind, geothermal, ... Puerto Rico and the U.S. Virgin Islands do not have 80-meter wind maps available but have 50-meter ...

170

1999 Commercial Buildings Energy Consumption Survey Detailed Tables  

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

Consumption and Expenditures Tables Table C1. Total Energy Consumption by Major Fuel ............................................... 124 Table C2. Total Energy Expenditures by Major Fuel................................................ 130 Table C3. Consumption for Sum of Major Fuels ...................................................... 135 Table C4. Expenditures for Sum of Major Fuels....................................................... 140 Table C5. Consumption and Gross Energy Intensity by Census Region for Sum of Major Fuels................................................................................................... 145 Table C6. Expenditures by Census Region for Sum of Major Fuels......................... 150 Table C7. Consumption and Gross Energy Intensity by Building Size for Sum of

171

Detailed Energy Data Collection for Miscellaneous and Electronic...  

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

and varied usage patterns. Few studies have collected field data on the long-term energy use of MELs, due to the difficulty and expense of traditional power meters. Recent...

172

Energy conservation: policy issues and end-use scenarios of savings potential. Part 2. Tradeoffs of municipal solid-waste-processing alternatives  

DOE Green Energy (OSTI)

The objective of this report is to assess the comparative performance and advantages of the various garbage-processing or disposal (landfill) techniques, and to address the issue of large-scale recycling of waste material. Five general methods are discussed: close-in landfill, remote landfill, refuse-derived solid fuel (RDSF), pyrolysis, and incineration. The major issue at this time concerning municipal solid waste disposal is whether to continue with landfill as the primary method or to use some combination of source separation, resource recovery, and energy generation. The constraints surrounding this issue are capital and labor costs, technical feasibility, environmental impacts--especially air pollution--marketability of the derived energy and recycled resources, and public cooperation. (MCW)

Codina, R.; Langlois, C.

1978-09-01T23:59:59.000Z

173

GridLAB-D Technical Support Document: Residential End-Use Module Version 1.0  

SciTech Connect

1.0 Introduction The residential module implements the following end uses and characteristics to simulate the power demand in a single family home: Water heater Lights Dishwasher Range Microwave Refrigerator Internal gains (plug loads) House (heating/cooling loads) The house model considers the following four major heat gains/losses that contribute to the building heating/cooling load: 1. Conduction through exterior walls, roof and fenestration (based on envelope UA) 2. Air infiltration (based on specified air change rate) 3. Solar radiation (based on CLTD model and using tmy data) 4. Internal gains from lighting, people, equipment and other end use objects. The Equivalent Thermal Parameter (ETP) approach is used to model the residential loads and energy consumption. The following sections describe the modeling assumptions for each of the above end uses and the details of power demand calculations in the residential module.

Taylor, Zachary T.; Gowri, Krishnan; Katipamula, Srinivas

2008-07-31T23:59:59.000Z

174

Sec. Chu Announces More 'SunShot' Details | Department of Energy  

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

Sec. Chu Announces More 'SunShot' Details Sec. Chu Announces More 'SunShot' Details Sec. Chu Announces More 'SunShot' Details February 4, 2011 - 1:30pm Addthis Sec. Chu Announces More 'SunShot' Details. | Department of Energy Photo | Courtesy of National Renewable Energy Laboratory | Public Domain | Sec. Chu Announces More 'SunShot' Details. | Department of Energy Photo | Courtesy of National Renewable Energy Laboratory | Public Domain | Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs What does this project do? The SunShot initiative will bring the cost of solar energy down by about 75 percent, making it cost competitive with fossil fuels, like coal, by the end of the decade. Visit the SunShot website for more information. Today, Secretary Chu announced more details of the Department's

175

,"Texas Natural Gas Consumption by End Use"  

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

,"Workbook Contents" ,"Texas Natural Gas Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

176

,"California Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural...

177

,"Tennessee Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural...

178

,"Colorado Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural...

179

,"Washington Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural...

180

,"Virginia Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural...

Note: This page contains sample records for the topic "detailed energy end-use" 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

,"Nebraska Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural...

182

,"Pennsylvania Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania...

183

,"Arkansas Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural...

184

,"Kentucky Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural...

185

,"Mississippi Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural...

186

,"Michigan Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural...

187

,"Delaware Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural...

188

,"Maryland Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural...

189

,"Louisiana Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural...

190

,"Missouri Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural...

191

,"Oklahoma Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural...

192

,"Idaho Natural Gas Consumption by End Use"  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Consumption by End Use",6,"Monthly","102013","1151989" ,"Release...

193

Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1  

Science Conference Proceedings (OSTI)

This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

1994-05-01T23:59:59.000Z

194

End-Use Load and Consumer Assessment Program: Analysis of residential refrigerator/freezer performance  

SciTech Connect

The Bonneville Power Administration (Bonneville) is conducting a large end-use data acquisition program in an effort to understand how energy is utilized in buildings with permanent electric space heating equipment in the Pacific Northwest. The initial portion of effort, known as the End-Use Load and Consumer Assessment Program (ELCAP), was conducted for Bonneville by the Pacific Northwest Laboratory (PNL). The collection of detailed end-use data provided an opportunity to analyze the amount of energy consumed by both refrigerators and separate freezers units located in residential buildings. By obtaining this information, the uncertainty of long- term regional end-use forecasting can be improved and potential utility marketing programs for new appliances with a reduced overall energy demand can be identified. It was found that standby loads derived from hourly averages between 4 a.m. and 5 a.m. reflected the minimum consumption needed to maintain interior refrigerator temperatures at a steady-state condition. Next, an average 24-hour consumption that included cooling loads from door openings and cooling food items was also determined. Later, analyses were conducted to develop a model capable of predicting refrigerator standby loads and 24-hour consumption for comparison with national refrigerator label ratings. Data for 140 residential sites with a refrigeration end-use were screened to develop a sample of 119 residences with pure refrigeration for use in this analysis. To identify those refrigerators that were considered to be pure (having no other devices present on the circuit) in terms of their end-use classification, the screening procedure used a statistical clustering technique that was based on standby loads with 24-hour consumption. 5 refs., 18 figs., 4 tabs.

Ross, B.A.

1991-09-01T23:59:59.000Z

195

Table 5.2 End Uses of Fuel Consumption, 2010;  

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

2 End Uses of Fuel Consumption, 2010; 2 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280

196

Table 5.1 End Uses of Fuel Consumption, 2010;  

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

5.1 End Uses of Fuel Consumption, 2010; 5.1 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process

197

Table 5.7 End Uses of Fuel Consumption, 2010;  

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

7 End Uses of Fuel Consumption, 2010; 7 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 845,727 13 22 5,064 18 39 Indirect Uses-Boiler Fuel 12,979 7 3 2,074 3 26 Conventional Boiler Use 12,979 3 1 712 1 3 CHP and/or Cogeneration Process -- 4 3 1,362 2 23 Direct Uses-Total Process 675,152 4 9 2,549 7 13 Process Heating

198

Table 5.5 End Uses of Fuel Consumption, 2010;  

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

5 End Uses of Fuel Consumption, 2010; 5 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 14,228 714,166 13 22 5,064 18 39 5,435 Indirect Uses-Boiler Fuel -- 7,788 7 3 2,074 3 26 -- Conventional Boiler Use -- 7,788 3 1 712 1 3 -- CHP and/or Cogeneration Process -- 0 4 3 1,362 2 23 -- Direct Uses-Total Process

199

Table 5.6 End Uses of Fuel Consumption, 2010;  

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

6 End Uses of Fuel Consumption, 2010; 6 End Uses of Fuel Consumption, 2010; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 14,228 2,437 79 130 5,211 69 868 5,435 Indirect Uses-Boiler Fuel -- 27 46 19 2,134 10 572 -- Conventional Boiler Use -- 27 20 4 733 3 72 -- CHP and/or Cogeneration Process -- 0 26 15 1,401 7 500 -- Direct Uses-Total Process -- 1,912 26 54 2,623 29 289 -- Process Heating -- 297 25 14 2,362 24 280 -- Process Cooling and Refrigeration -- 182 * Q 25

200

Table 5.4 End Uses of Fuel Consumption, 2010;  

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

4 End Uses of Fuel Consumption, 2010; 4 End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 2,886 79 130 5,211 69 868 Indirect Uses-Boiler Fuel 44 46 19 2,134 10 572 Conventional Boiler Use 44 20 4 733 3 72 CHP and/or Cogeneration Process -- 26 15 1,401 7 500 Direct Uses-Total Process 2,304 26 54 2,623 29 289 Process Heating 318 25 14 2,362 24 280 Process Cooling and Refrigeration

Note: This page contains sample records for the topic "detailed energy end-use" 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

,"Idaho Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas...

202

,"Wyoming Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas...

203

,"Alaska Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas...

204

,"Oregon Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas...

205

,"Alabama Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas...

206

,"Florida Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas...

207

,"Arizona Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas...

208

,"Kansas Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas...

209

,"Montana Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas...

210

,"Nevada Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas...

211

,"Utah Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas...

212

,"Indiana Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas...

213

,"Texas Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas...

214

,"Ohio Natural Gas Consumption by End Use"  

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

Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas...

215

The RECS relies on the respondents to provide the energy related details of their homes  

Gasoline and Diesel Fuel Update (EIA)

Householder's Perceptions of Insulation Adequacy and Householder's Perceptions of Insulation Adequacy and Drafts in the Home in 2001 Behjat Hojjati , PhD Energy Information Administration U.S. Department of Energy 1000 Independence Ave., SW, EI-63 Washington, DC 20585 behjat.hojjati@eia.doe.gov September 2004 Abstract In order to improve the estimation of end-use heating consumption, the Energy Information Administration's (EIA), 2001 Residential Energy Consumption Survey (RECS), for the first time, asked respondents to judge how drafty they perceived their homes to be as a measure of insulation quality. The analysis of the 2001 RECS data shows that householders in newly- constructed homes perceived their homes to be better insulated and less drafty than do householders in older homes. Single-family homes are perceived to be better insulated and less

216

Technology data characterizing refrigeration in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect

In the United States, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of the refrigeration end use in terms of specific technologies, however, is complicated by several factors. First, the number of configurations of refrigeration cases and systems is quite large. Also, energy use is a complex function of the refrigeration-case properties and the refrigeration-system properties. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. Expanding end-use forecasting models so that they address individual technology options requires characterization of the present floorstock in terms of service requirements, energy technologies used, and cost-efficiency attributes of the energy technologies that consumers may choose for new buildings and retrofits. This report describes the process by which we collected refrigeration technology data. The data were generated for COMMEND 4.0 but are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Koomey, J.G.

1995-12-01T23:59:59.000Z

217

Realizing Building End-Use Efficiency with Ermerging Technologies  

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

Realizing Building End-Use Efficiency Realizing Building End-Use Efficiency with Emerging Technologies Jonathan Livingston Livingston Energy Innovations, LLC What is End-Use Efficiency (EE)? * EE is an energy resource * Broadly accepted in the U.S. as the single most effective step toward reducing pollution, power costs and price volatility * Treated as equivalent to supply-side resources * Recognized by states and regions as first priority when costs are comparable (CA, MO, NM, Pacific Northwest) The Northwest Power Act 839b(e)(1). The plan shall, as provided in this paragraph, give priority to resources which the Council determines to be cost-effective. Priority shall be given: first, to conservation; second, to renewable resources; third, to generating resources utilizing waste heat or generating resources of high fuel conversion

218

Energy and Emissions Long Term Outlook A Detailed Simulation of Energy Supply-Demand  

E-Print Network (OSTI)

The paper presents the results of a detailed, bottom-up modeling exercise of Mexicos energy markets. The Energy and Power Evaluation Program (ENPEP), the Wien Automatic System Planning (WASP) and the Energy Demand Model (MODEMA) were used to develop forecasts to 2025. Primary energy supply is projected to grow from 9,313 PJ (1999) to 13,130 PJ (2025). Mexicos crude oil production is expected to increase by 1 % annually to 8,230 PJ. As its domestic crude refining capacity becomes unable to meet the rising demand for petroleum products, imports of oil products will become increasingly important. The Mexican natural gas markets are driven by the strong demand for gas in the power generating and manufacturing industries which significantly outpaces projected domestic production. The result is a potential need for large natural gas imports that may reach approximately 46 % of total gas supplies by 2025. The long-term market outlook for Mexicos electricity industry shows a heavy reliance on naturalgas based generating technologies. Gas-fired generation is forecast to increase 26-fold eventually accounting for over 80 % of total generation by 2025. Alternative results for a constrained-gas scenario show a substantial shift to coal-based generation and the associated effects on the natural gas market. A renewables scenario investigates impacts of additional renewables for power generation (primarily wind plus some solar-photovoltaic). A nuclear scenario analyzes the impacts of additional nuclear power

Juan Quintanilla Martnez; Autnoma Mxico; Centro Mario Molina; Juan Quintanilla Martnez

2005-01-01T23:59:59.000Z

219

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the U.S. residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute (McMenamin et al. 1992). In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70 % of electricity consumption and 30 % of natural gas consumption in the U.S. residential sector (EIA 1993). Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific

J. Hwang; Francis X. Johnson; Richard E. Brown; James W. Hanford; Jonathan G. Koomey

1994-01-01T23:59:59.000Z

220

EIA - Appendix F-Reference Case Projections by End-Use Sector and Country  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) International Energy Outlook 2008 Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) Formats Data Table Titles (1 to 19 complete) Reference Case Projections by End-Use Sector and Country Gruping Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Projections of Nuclear Generating Capacity Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. F1 Total World Delivered Energy Consumption by End-Use Sector and Fuel Table F1. Total World Delivered Energy Consumption by End-Use Sector and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

Note: This page contains sample records for the topic "detailed energy end-use" 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

Office Buildings - End-Use Equipment  

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

End-Use Equipment End-Use Equipment The types of space heating equipment used in office buildings were similar to those of the commercial buildings sector as a whole (Table 8 and Figure 5). Furnaces were most used followed by packaged heating systems. Individual space heaters were third-most used but were primarily used to supplement the building's main heating system. Boilers and district heat systems were more often used in larger buildings. Table 8. Types of Heating Equipment Used in Office Buildings, 2003 Number of Buildings (thousand) Total Floorspace (million square feet) All Buildings* All Office Buildings All Buildings* All Office Buildings All Buildings 4,645 824 64,783 12,208 All Buildings with Space Heating 3,982 802 60,028 11,929 Heating Equipment (more than one may apply)

222

The Potential to Reduce CO2 Emissions by Expanding End-Use Applications of Electricity  

Science Conference Proceedings (OSTI)

Depending on the sources of electricity production, the use of electricity can be a contributing factor to net CO2 emissions. What is less obvious is that using efficient end-use electric technologies has the potential save energy and decrease overall CO2 emissions substantially. The two main mechanisms for saving energy and reducing CO2 emissions with electric end-use technologies are (1) upgrading existing electric technologies, processes, and building energy systems; and (2) expanding end-use applica...

2009-03-30T23:59:59.000Z

223

A detailed calibration of a stack monitor used in the measurement of airborne radionuclides at a high energy proton accelerator  

E-Print Network (OSTI)

A detailed calibration of a stack monitor used in the measurement of airborne radionuclides at a high energy proton accelerator

Vaziri, K; Cossairt, J D; Bhnlein, D J; Elwyn, A J

1996-01-01T23:59:59.000Z

224

Table 4. Sales of Distillate Fuel Oil by End Use, 1999 and 2000 ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration 13 Fuel Oil and Kerosene Sales 2000 Table 4. Sales of Distillate Fuel Oil by End Use, 1999 and 2000 (Thousand Gallons)

225

Technology data characterizing space conditioning in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect

In the US, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of space conditioning end uses in terms of specific technologies is complicated by several factors. First, the number of configurations of heating, ventilating, and air conditioning (HVAC) systems and heating and cooling plants is very large. Second, the properties of the building envelope are an integral part of a building`s HVAC energy consumption characteristics. Third, the characteristics of commercial buildings vary greatly by building type. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. This report describes the process by which the authors collected space-conditioning technology data and then mapped it into the COMMEND 4.0 input format. The data are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Franconi, E.M.; Koomey, J.G.; Greenberg, S.E.; Afzal, A.; Shown, L.

1995-12-01T23:59:59.000Z

226

The Energy Endoscope: Real-time Detailed Energy Accounting for Wireless Sensor Nodes  

E-Print Network (OSTI)

visibility into the energy consumption of 32-bit WirelessTriage: Balancing Energy Consumption and Quality of Serviceinterdependencies in energy consumption between different

Stathopoulos, Thanos; McIntire, Dustin; Kaiser, W J

2007-01-01T23:59:59.000Z

227

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

energy policy initiatives (EIA 1990). Utilities rely on end-use forecasting models in order to assess market trends

Johnson, F.X.

2010-01-01T23:59:59.000Z

228

Detailed Renewable Energy Resource Assessment Data Inventory (US) | OpenEI  

Open Energy Info (EERE)

Detailed Renewable Energy Resource Assessment Data Inventory (US) Detailed Renewable Energy Resource Assessment Data Inventory (US) Dataset Summary Description Detailed inventory of available renewable energy (RE) resource assessment data. Although the type, amount, and regional distribution of resource information vary by resource, assessments are available for each RE category (conducted by DOE and various private and public organizations). Solar, wind and geothermal resources have assessment products available at numerous scales (national, regional, and site specific). Assessments are available for biomass and hydropower resources at a national level, with only limited information available at the regional and site-specific levels. Ocean energy has the least resource assessment information available. This information was compiled by NREL and initially published in the 2006 Report to Congress on Renewable Energy Resource Assessment Information for the United States (Original document courtesy of archive.org). This datasets was last updated in January, 2011. For each assessment, the inventory includes: data name, data type, source, period of record, spatial coverage, spatial resolution, temporal scale, units, stated accuracy, availability, URL, update frequency, and additional notes.

229

The Energy Endoscope: Real-time Detailed Energy Accounting for Wireless Sensor Nodes  

E-Print Network (OSTI)

a tool for pro?ling the energy usage of mobile applications.for directly observing energy usage of multi- ple subsystemsonly if platform energy usage is measured at runtime,

Stathopoulos, Thanos; McIntire, Dustin; Kaiser, W J

2007-01-01T23:59:59.000Z

230

BUDGET DETAILS BOOK FOUR DPRMN OF N RGY U.S. Department of Energy  

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

BUDGET DETAILS BUDGET DETAILS BOOK FOUR DPRMN OF N RGY U.S. Department of Energy Transition Team Budget Book Office of the Chief Financial Officer Office of Budget 1. Budget Overview 2. Funding Tables and Charts 3. Appropriations Subcommittees 4. Program Overviews 5. Major Construction Projects, Activities, and Initiatives 6. Laboratory and State Data Acronyms commonly used in budget documents. ACI American Competitiveness Initiative AEI Advanced Energy Initiative AFP Approved Funding Program (monthly financial plan that dictates how funding is to be executed) AlP Accelerator Improvement Project Ames Ames National Laboratory ANL Argonne National Laboratory B&R Budget and Reference Code BA Budget Authority BAPL Bettis Atomic Power Laboratory BNL Brookhaven National Laboratory BO Budget Outlay

231

Detailed Balance Condition and Effective Free Energy in the Primitive Chain Network Model  

E-Print Network (OSTI)

We consider statistical mechanical properties of the primitive chain network (PCN) model for entangled polymers from its dynamic equations. We show that the dynamic equation for the segment number of the PCN model does not reduce to the standard Langevin equation which satisfies the detailed balance condition. We propose heuristic modifications for the PCN dynamic equation for the segment number, to make it reduce to the standard Langevin equation. We analyse some equilibrium statistical properties of the modified PCN model, by using the effective free energy obtained from the modified PCN dynamic equations. The PCN effective free energy can be interpreted as the sum of the ideal Gaussian chain free energy and the repulsive interaction energy between slip-links. By using the single chain approximation, we calculate several distribution functions of the PCN model. The obtained distribution functions are qualitatively different from ones for the simple slip-link model without any direct interactions between slip-links.

Takashi Uneyama; Yuichi Masubuchi

2011-10-18T23:59:59.000Z

232

Realizing Building End-Use Efficiency with Ermerging Technologies  

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

Information about the implementation of emerging technologies to maximize end-use efficiency in buildings.

233

China's Building Energy Use: A Long-Term Perspective based on a Detailed Assessment  

SciTech Connect

We present here a detailed, service-based model of China's building energy use, nested in the GCAM (Global Change Assessment Model) integrated assessment framework. Using the model, we explore long-term pathways of China's building energy use and identify opportunities of reducing greenhouse gas emissions. The inclusion of a structural model of building energy demands within an integrated assessment framework represents a major methodological advance. It allows for a structural understanding of the drivers of building energy consumption while simultaneously considering the other human and natural system interactions that influence changes in the global energy system and climate. We also explore a range of different scenarios to gain insights into how China's building sector might evolve and what the implications might be for improved building energy technology and carbon policies. The analysis suggests that China's building energy growth will not wane anytime soon, although technology improvement will put downward pressure on this growth. Also, regardless of the scenarios represented, the growth will involve the continued, rapid electrification of the buildings sector throughout the century, and this transition will be accelerated by the implementation of carbon policy.

Eom, Jiyong; Clarke, Leon E.; Kim, Son H.; Kyle, G. Page; Patel, Pralit L.

2012-01-13T23:59:59.000Z

234

China's Building Energy Demand: Long-Term Implications from a Detailed Assessment  

Science Conference Proceedings (OSTI)

We present here a detailed, service-based model of Chinas building energy use, nested in the GCAM (Global Change Assessment Model) integrated assessment framework. Using the model, we explore long-term pathways of Chinas building energy use and identify opportunities of reducing greenhouse gas emissions. The inclusion of a structural model of building energy demands within an integrated assessment framework represents a major methodological advance. It allows for a structural understanding of the drivers of building energy consumption while simultaneously considering the other human and natural system interactions that influence changes in the global energy system and climate. We also explore a range of different scenarios to gain insights into how Chinas building sector might evolve and what the implications might be for improved building energy technology and carbon policies. The analysis suggests that Chinas building energy growth will not wane anytime soon, although technology improvement will put downward pressure on this growth. Also, regardless of the scenarios represented, the growth will involve the continued, rapid electrification of the buildings sector throughout the century, and this transition will be accelerated by the implementation of carbon policy.

Eom, Jiyong; Clarke, Leon E.; Kim, Son H.; Kyle, G. Page; Patel, Pralit L.

2012-10-01T23:59:59.000Z

235

Detailed parametric analyses of heat transfer in CPC solar energy collectors  

SciTech Connect

A detailed parametric analysis of heat transfer in compound parabolic concentrating solar energy collectors has been performed, using a unified model for their optical and thermophysical behaviour. The effects of angular inclination and collector acceptance angles on free convection within the cavity are presented. The circumferential variation of local Nusselt number about the absorber is determined. A convective heat transfer correlation is obtained for the average Nusselt number with respect to Grashof number that takes into account acceptance angle and angular inclination. The developed correlation is extended to truncated compound parabolic concentrators.

Eames, P.C.; Norton, B. (Univ. of Ulster (United Kingdom))

1993-04-01T23:59:59.000Z

236

Distribution Category UC-98 Consumption End-Use A Comparison of Measures  

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

Distribution Category UC-98 Distribution Category UC-98 Consumption End-Use A Comparison of Measures by Consumption and Supply Surveys Energy information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, D.C. 20585 General information concerning the contents of the report may be obtained from Lynda T. Carlson, Director of the Energy End Use Division (202/586-1112). Specific information regarding the contents or preparation of the publication may be obtained from Nancy L. Leach, Chief of the Residential and Commercial Branch (202/586-1114). The Residential Energy Consumption Survey manager and a major contributor to this report is Wendel Thompson (202/586-1119). The report was written by Gerald Peabody (202/586-6160). Energy Consumption by End-Use Sector

237

EIA - Reference Case Projections by End-Use Sector and Region Tables  

Gasoline and Diesel Fuel Update (EIA)

6 > Reference Case Projections by End-Use Sector and Region Tables (2003-2030) 6 > Reference Case Projections by End-Use Sector and Region Tables (2003-2030) International Energy Outlook 2006 Reference Case Projections by End-Use Sector and Region Tables (2003-2030) Formats Data Table Titles (1 to 19 complete) Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table D1 Total World Delivered Energy Consumption Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800.

238

Energy Code Compliance in a Detailed Commercial Building Sample: The Effects of Missing Data  

SciTech Connect

Most commercial buildings in the U.S. are required by State or local jurisdiction to meet energy standards. The enforcement of these standards is not well known and building practice without them on a national scale is also little understood. To provide an understanding of these issues, a database has been developed at PNNL that includes detailed energy related building characteristics of 162 commercial buildings from across the country. For this analysis, the COMcheck? compliance software (developed at PNNL) was used to assess compliance with energy codes among these buildings. Data from the database for each building provided the program input with percentage energy compliance to the ASHRAE/IESNA Standard 90.1-1999 energy as the output. During the data input process it was discovered that some essential data for showing compliance of the building envelope was missed and defaults had to be developed to provide complete compliance information. This need for defaults for some data inputs raised the question of what the effect on documenting compliance could be due to missing data. To help answer this question a data collection effort was completed to assess potential differences. Using the program Dodge View, as much of the missing envelope data as possible was collected from the building plans and the database input was again run through COMcheck?. The outputs of both compliance runs were compared to see if the missing data would have adversely affected the results. Both of these results provided a percentage compliance of each building in the envelope and lighting categories, showing by how large a percentage each building either met or fell short of the ASHRAE/IESNA Standard 90.1-1999 energy code. The results of the compliance runs showed that 57.7 % of the buildings met or exceeded envelope requirements with defaults and that 68 % met or exceeded envelope requirements with the actual data. Also, 53.6 % of the buildings met or surpassed the lighting requirements in both cases. The dataset of 162 buildings is not large enough to accurately apply theses findings to all commercial buildings across the U.S., but it does provide a rough idea of what to generally expect. This database also has other uses such as characterization of commercial buildings by each specific data point and in splitting up the total of 162 buildings into smaller subsets to characterize such groups as large (>5000 sq ft) or small (<5000 sq ft) commercial buildings.

Biyani, Rahul K.; Richman, Eric E.

2003-09-30T23:59:59.000Z

239

,"U.S. Total Sales of Residual Fuel Oil by End Use"  

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

Residual Fuel Oil by End Use" Residual Fuel Oil by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Total Sales of Residual Fuel Oil by End Use",8,"Annual",2012,"6/30/1984" ,"Release Date:","11/15/2013" ,"Next Release Date:","10/31/2014" ,"Excel File Name:","pet_cons_821rsd_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_cons_821rsd_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

240

,"U.S. Adjusted Sales of Residual Fuel Oil by End Use"  

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

Residual Fuel Oil by End Use" Residual Fuel Oil by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Adjusted Sales of Residual Fuel Oil by End Use",8,"Annual",2012,"6/30/1984" ,"Release Date:","11/15/2013" ,"Next Release Date:","10/31/2014" ,"Excel File Name:","pet_cons_821rsda_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_cons_821rsda_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

Note: This page contains sample records for the topic "detailed energy end-use" 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

,"New Mexico Natural Gas Consumption by End Use"  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Consumption by End Use",11,"Annual",2012,"6301967" ,"Release Date:","10...

242

2001 Housing Characteristics Detailed Tables  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey-Housing Characteristics, 2001 Detailed Tables, Energy Information Administration

243

Distributed Energy Resources for Carbon Emissions Mitigation  

E-Print Network (OSTI)

s end-use energy loads, energy tariff structures and fuelEnergy costs are calculated using a detailed representation of utility tariffTariffs, Berkeley Lab Report LBNL-55680. http://tariffs.lbl.gov EIA [Energy

Firestone, Ryan; Marnay, Chris

2008-01-01T23:59:59.000Z

244

Development of an End-Use Sector- Based Low-Carbon Indicator System for  

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

Development of an End-Use Sector- Based Low-Carbon Indicator System for Development of an End-Use Sector- Based Low-Carbon Indicator System for Cities in China Title Development of an End-Use Sector- Based Low-Carbon Indicator System for Cities in China Publication Type Conference Proceedings Year of Publication 2012 Authors Price, Lynn K., Nan Zhou, David Fridley, Hongyou Lu, Nina Zheng, Cecilia Fino-Chen, and Stephanie Ohshita Conference Name the ACEEE's 2012 Summer Study on Energy Efficiency in Buildings Date Published 08/2012 Publisher the American Council for an Energy-Efficient Economy Conference Location Pacific Grove, California, U.S.A. Keywords 12th five year plan, buildings, china, china energy, china energy group, co2 emissions, energy analysis and environmental impacts department, low carbon indicator, policy studies

245

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

factor: first electricity distribution and transmission (Transmission and distribution losses Electricity deliveredTransmission and distribution loses Electricity delivered

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

246

Kyoto - End-Use Energy Demand (Residential & Commercial)  

U.S. Energy Information Administration (EIA)

... the convenience of natural gas heating and the decline in real oil and gas prices over the past decade have led many ... (compact fluorescent ...

247

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

share (71%) from coal, hydro power represents 14%, naturalgenerated from hydro or nuclear power plants is set equal to

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

248

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

rural, k=Kerosene m=rural, k=biogas m =urban, k=LPG m=urban,k=LPG k=wood k=kerosene k=biogas k=electricity k=electricity

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

249

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

MOSPI, 2008, a). quantities of fuel oil and diesel oil usequantity of transport activities (railways mostly). Oil is

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

250

India Energy Outlook: End Use Demand in India to 2020  

E-Print Network (OSTI)

kerosene Coal INDUSTRY electricity Coal oil gas COMMERCIALkerosene Coal INDUSTRY electricity Coal oil gas COMMERCIALin the industry sector and primary electricity represents

de la Rue du Can, Stephane

2009-01-01T23:59:59.000Z

251

End-Use Estimation Methodology - Energy Information Administration  

U.S. Energy Information Administration (EIA)

were assigned small but positive values for their electricity air ... small kitchen appliances (such as toasters, mixers, and can openers), home entertainment ...

252

AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division  

Open Energy Info (EERE)

Delivered Prices by End-Use Sector and Census Division Delivered Prices by End-Use Sector and Census Division Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 137, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural Gas Data application/vnd.ms-excel icon AEO2011: Natural Gas Delivered Prices by End-Use Sector and Census Division- Reference Case (xls, 140.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

253

AEO2011: Natural Gas Consumption by End-Use Sector and Census Division |  

Open Energy Info (EERE)

Consumption by End-Use Sector and Census Division Consumption by End-Use Sector and Census Division Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 136, and contains only the reference case. This dataset is in trillion cubic feet. The data is broken down into residential, commercial, industrial, electric power and transportation. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural gas consumption Data application/vnd.ms-excel icon AEO2011: Natural Gas Consumption by End-Use Sector and Census Division- Reference Case (xls, 138.4 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage

254

Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Estimation of Energy End-use Consumption Estimation of Energy End-use Consumption 2003 CBECS The energy end-use consumption tables for 2003 (Detailed Tables E1-E11 and E1A-E11A) provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, personal computers, office equipment (including servers), and other uses. Although details vary by energy source (Table 1), there are four basic steps in the end-use estimation process: Regressions of monthly consumption on degree-days to establish reference temperatures for the engineering models, Engineering modeling by end use, Cross-sectional regressions to calibrate the engineering estimates and account for additional energy uses, and

255

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting-uses include Heating, Ventilation and Air Conditioning (HVAC). Our analysis uses the modeling framework provided by the HVAC module in the Residential End-Use Energy Planning System (REEPS), which was developed

256

Sec. Chu Announces More 'SunShot' Details | Department of Energy  

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

of Public Affairs What does this project do? The SunShot initiative will bring the cost of solar energy down by about 75 percent, making it cost competitive with fossil fuels,...

257

End-Use Load-Shape Estimation: Methods and Validation  

Science Conference Proceedings (OSTI)

In developing effective demand-side management plans and load forecasts, utilities need information on customer hourly load patterns over a range of end-uses. Such information may be obtained using the two methods described in this report for disaggregating whole-building load data. Both methods have been validated using end-use metered data. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/Applications/DE/Community/index.asp .

1991-02-01T23:59:59.000Z

258

,"U.S. Natural Gas Consumption by End Use"  

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

,,"(202) 586-8800",,,"10312013 3:05:49 PM" "Back to Contents","Data 1: U.S. Natural Gas Consumption by End Use" "Sourcekey","N9140US2","N9160US2","NA1840NUS2","NA18...

259

,"U.S. Natural Gas Consumption by End Use"  

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

,,"(202) 586-8800",,,"10312013 3:05:50 PM" "Back to Contents","Data 1: U.S. Natural Gas Consumption by End Use" "Sourcekey","N9140US2","N9160US2","N9170US2","N3060US2...

260

Refining and End Use Study of Coal Liquids  

SciTech Connect

This report summarizes revisions to the design basis for the linear programing refining model that is being used in the Refining and End Use Study of Coal Liquids. This revision primarily reflects the addition of data for the upgrading of direct coal liquids.

None

1997-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "detailed energy end-use" 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

Annual-cycle thermal energy storage for a community solar system: details of a sensitivity analysis  

DOE Green Energy (OSTI)

This report presents results and conclusions of a simulation and sensitivity analysis of community-sized, annual-cycle thermal-energy-storage (ACTES) solar energy systems. The analysis which is based on an hourly simulation is used to (1) size systems in 10 locations, (2) identify critical design parameters, and (3) provide a basic conceptual approach for future studies and designs. This research is a forerunner to an economic analysis of this particular system (based on large constructed tanks) and a general analysis of the value of ACTES technologies for solar applications. A total of 440 systems were sized for 10 locations in the United States. Three different building types and four different community sizes were modeled. All designs used each of two collector types at each of two different tilt angles. Two linear relationships were derived which simplify system sizing. The average ambient temperature is used to determine average yearly collector efficiency. This parameter combined with estimates of space/DHW loads, storage/distribution losses, and total yearly insolation per square meter allows estimation of collector area. Storage size can be estimated from the winter net load which is based on space and DHW loads, storage and distribution losses, and collector solar heat gain for the winter months.

Baylin, F.; Monte, R.; Sillman, S.

1980-07-01T23:59:59.000Z

262

Economic evaluation of the Annual Cycle Energy System (ACES). Volume II. Detailed results. Final report  

Science Conference Proceedings (OSTI)

The energy effectiveness and the economic viability of the ACES concept are examined. ACES is studied in a variety of different applications and compared to a number of conventional systems. The different applications are studied in two groups: the class of building into which the ACES is incorporated and the climatic region in which the ACES is located. Buildings investigated include single-family and multi-family residences and a commercial office building. The application of ACES to each of these building types is studied in Minneapolis, Atlanta, and Philadelphia. The economic evaluation of the ACES is based on a comparison of the present worth of the ACES to the present worth of conventional systems; namely, electric resistance heating, electric air conditioning, and electric domestic water heating; air-to-air heat pump and electric domestic water heating; oil-fired furnace, electric air conditioning, and electric domestic water heating; and gas-fired furnace, electric air conditioning, and gas domestic water heating.

Not Available

1980-05-01T23:59:59.000Z

263

Product Detail  

Science Conference Proceedings (OSTI)

Jul 1, 1998 ... Heat Transfer Fundamentals for Metal Casting by D.R. ... Print Book: Handbook on Material and Energy Balance Calculations in Metallurgical...

264

REFINING AND END USE STUDY OF COAL LIQUIDS  

DOE Green Energy (OSTI)

This document summarizes all of the work conducted as part of the Refining and End Use Study of Coal Liquids. There were several distinct objectives set, as the study developed over time: (1) Demonstration of a Refinery Accepting Coal Liquids; (2) Emissions Screening of Indirect Diesel; (3) Biomass Gasification F-T Modeling; and (4) Updated Gas to Liquids (GTL) Baseline Design/Economic Study.

Unknown

2002-01-01T23:59:59.000Z

265

CBECS 1993 - Federal Buildings Supplement Survey - Detailed Tables  

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

Publication > Detailed Tables Publication > Detailed Tables Detailed Tables Percent of FBSS Buildings and Floorspace by Selected Agencies, FY 1993 Percent of FBSS Buildings and Floorspace by Selected Agencies, FY 1993 Sources: Energy Information Administration, Energy Markets and End Use, 1993 Federal Buildings Supplemental Survey. Divider Line To View and/or Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties, visit our Technical Frequently Asked Questions. Divider Line You have the option of downloading the entire set of tables or selected tables by data item. Full Set of Tables - Federal Buildings Supplemental Survey, 1993 (file size 770,290 bytes) pages: 123 Detailed Table Information (file size 45,044 bytes) pages: 7, includes:

266

Electricity end-use efficiency: Experience with technologies, markets, and policies throughout the world  

Science Conference Proceedings (OSTI)

In its August meeting in Geneva, the Energy and Industry Subcommittee (EIS) of the Policy Response Panel of the Intergovernmental Panel on Climate Change (IPCC) identified a series of reports to be produced. One of these reports was to be a synthesis of available information on global electricity end-use efficiency, with emphasis on developing nations. The report will be reviewed by the IPCC and approved prior to the UN Conference on Environment and Development (UNCED), Brazil, June 1992. A draft outline for the report was submitted for review at the November 1991 meeting of the EIS. This outline, which was accepted by the EIS, identified three main topics to be addressed in the report: status of available technologies for increasing electricity end-use efficiency; review of factors currently limiting application of end-use efficiency technologies; and review of policies available to increase electricity end-use efficiency. The United States delegation to the EIS agreed to make arrangements for the writing of the report.

Levine, M.D.; Koomey, J.; Price, L. [Lawrence Berkeley Lab., CA (United States); Geller, H.; Nadel, S. [American Council for an Energy-Efficient Economy, Washington, DC (United States)

1992-03-01T23:59:59.000Z

267

Energy Efficiency Improvement and Cost Saving Opportunities for Breweries: An ENERGY STAR(R) Guide for Energy and Plant Managers  

E-Print Network (OSTI)

Energy Markets and End Use, Washington, DC. Energy InformationEnergy Markets and End Use, Washington, DC. Energy Information

Galitsky, Christina; Martin, Nathan; Worrell, Ernst; Lehman, Bryan

2003-01-01T23:59:59.000Z

268

Biogas end-use in the European community  

Science Conference Proceedings (OSTI)

In Europe over the past few years the generation of biogas for energy and environmental purposes has been gaining in importance. Industrial wastewaters, cattle manure, sewage sludges, urban wastes, crop residues, algae and aquatic biomass are all typical of the materials being utilized. In contrast to the extensive inventory of biomethanation processes which has been carried out within the EEC, until recently a detailed, up-to-date investigation of the end-sues of biogas had not been undertaken. To supply the necessary information, the Commission of the European Communities and the Belgian Science Policy Office jointly entrusted a study to the Unit of Bioengineering at the Catholic University of Louvain, Belgium. This book is record of the study and has the following key features: it gives a broad overview of the ongoing use of biogas in Europe; it summarizes available data on storage, purification and engines using biogas; it draws several conclusions concerning the technical and economic viability of the processes; it discusses the problems of using biogas; and it outlines recommendations and future R and D and demonstration projects in the field.

Constant, M.; Naveau, H.; Nyns, E.J. (Unite de Genie Biologique, Universite Catholique de Louvain (BE)); Ferrero, G.L.

1989-01-01T23:59:59.000Z

269

chapter 5. Detailed Tables  

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

5. Detailed Tables 5. Detailed Tables Chapter 5. Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1994 Residential Transportation Energy Consumption Survey. 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.

270

2003 CBECS Detailed Tables: Summary  

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

the Tables | Estimation of Energy End-Use Consumption | CBECS Glossary | FAQs | Other Years: 1999 1995 1992 Complete Set of All Tables (Tables A1-A8, B1-B46, C1-C38, C1A-C38A,...

271

Mixed strategies for energy conservation and alternative energy utilization (solar) in buildings. Final report. Volume II. Detailed results. [New York, Atlanta, Omaha, and Albuquerque  

DOE Green Energy (OSTI)

The mixed-strategy analysis was a tradeoff analysis between energy-conservation methods and an alternative energy source (solar) considering technical and economic benefits. The objective of the analysis was to develop guidelines for: reducing energy requirements; reducing conventional fuel use; and identifying economic alternatives for building owners. The analysis was done with a solar system in place. This makes the study unique in that it is determining the interaction of energy conservation with a solar system. The study, therefore, established guidelines as to how to minimize capital investment while reducing the conventional fuel consumption through either a larger solar system or an energy-conserving technique. To focus the scope of energy-conservation techniques and alternative energy sources considered, five building types (house, apartment buildings, commercial buildings, schools, and office buildings) were selected. Finally, the lists of energy-conservation techniques and alternative energy sources were reduced to lists of manageable size by using technical attributes to select the best candidates for further study. The resultant energy-conservation techniques were described in detail and installed costs determined. The alternative energy source reduced to solar. Building construction characteristics were defined for each building for each of four geographic regions of the country. A mixed strategy consisting of an energy-conservation technique and solar heating/hot water/cooling system was analyzed, using computer simulation to determine the interaction between energy conservation and the solar system. Finally, using FEA fuel-price scenarios and installed costs for the solar system and energy conservation techniques, an economic analysis was performed to determine the cost effectiveness of the combination. (MCW)

None

1977-06-01T23:59:59.000Z

272

Detailed Course Module Description  

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

Course Module Description Course Module Description Module/Learning Objectives Level of Detail in Module by Audience Consumers Gen Ed/ Community College Trades 1. Energy Issues and Building Solutions High High High Learning Objectives: * Define terms of building science, ecological systems, economics of consumption * Relate building science perspective, ecology, social science * Explain historical energy and environmental issues related to buildings * Compare Site and source energy * Examine the health, safety and comfort issues in buildings * Examine the general context for building solutions (zero energy green home with durability as the goal) * Explain a basic overview of alternative energy (total solar flux) - do we have enough energy * Examine cash flow to homeowners

273

Energy efficiency improvement and cost saving opportunities for the Corn Wet Milling Industry: An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

Energy Markets and End Use, Washington, DC. Energy InformationEnergy Markets and End Use, Washington, DC. Energy Information

Galitsky, Christina; Worrell, Ernst; Ruth, Michael

2003-01-01T23:59:59.000Z

274

SOLERAS - Solar Energy Water Desalination Project: Exxon Research and Engineering. System design final report, Volume 2. Appendices baseline plant design details seawater feed (System A)  

Science Conference Proceedings (OSTI)

The details of the design of a conceptual baseline solar desalination plant are provided. Yanbu, Saudi Arabia is the site for the plant. Details are defined for several of the plant subsystems including: energy storage, energy delivery, reverse osmosis/multiple effect distillation, water storage, waste disposal, backup power generation, controls and instrumentation, data acquisition, and facilities and enclosures subsystems. The plant equipment is listed and process flow diagrams are included. Cost estimates and economic analyses of the plant are documented. (BCS)

Not Available

1985-01-01T23:59:59.000Z

275

2003 CBECS Detailed Tables: Summary  

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

2003 Detailed Tables 2003 Detailed Tables 2003 CBECS Detailed Tables most recent available Released: September 2008 Building Characteristics | Consumption & Expenditures | End-Use Consumption In the 2003 CBECS, the survey procedures for strip shopping centers and enclosed malls ("mall buildings") were changed from those used in previous surveys, and, as a result, mall buildings are now excluded from most of the 2003 CBECS tables. Therefore, some data in the majority of the tables are not directly comparable with previous CBECS tables, all of which included mall buildings. Some numbers in the 2003 tables will be slightly lower than earlier surveys since the 2003 figures do not include mall buildings. See "Change in Data Collection Procedures for Malls" for a more detailed explanation.

276

1999 Commercial Buildings Characteristics--End-Use Equipment  

Annual Energy Outlook 2012 (EIA)

Energy Consumption Survey Lighting Equipment Standard fluorescent and incandescent light bulbs were the most widely used types of lighting equipment (Figure 3). The vast...

277

,"U.S. Natural Gas Consumption by End Use"  

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

from Web Page:","http:www.eia.govdnavngngconssumdcunusa.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202)...

278

REFINING AND END USE STUDY OF COAL LIQUIDS  

Science Conference Proceedings (OSTI)

Two direct coal liquids were evaluated by linear programming analysis to determine their value as petroleum refinery feedstock. The first liquid, DL1, was produced from bitiuminous coal using the Hydrocarbon Technologies, Inc.(HTI) two-stage hydrogenation process in Proof of Concept Run No.1, POC-1. The second liquid, DL2,was produced from sub-bituminous coal using a three-stage HTI process in Proof of Concept Run No. 2, POC-2; the third stage being a severe hydrogenation process. A linear programming (LP) model was developed which simulates a generic 150,000 barrel per day refinery in the Midwest U.S. Data from upgrading tests conducted on the coal liquids and related petroleum fractions in the pilot plant testing phase of the Refining and End Use Study was inputed into the model. The coal liquids were compared against a generic petroleum crude feedstock. under two scenarios. In the first scenario, it was assumed that the refinery capacity and product slate/volumes were fixed. The coal liquids would be used to replace a portion of the generic crude. The LP results showed that the DL1 material had essentially the same value as the generic crude. Due to its higher quality, the DL2 material had a value of approximately 0.60 $/barrel higher than the petroleum crude. In the second scenario, it was assumed that a market opportunity exists to increase production by one-third. This requires a refinery expansion. The feedstock for this scenario could be either 100% petroleum crude or a combination of petroleum crude and the direct coal liquids. Linear programming analysis showed that the capital cost of the refinery expansion was significantly less when coal liquids are utilized. In addition, the pilot plant testing showed that both of the direct coal liquids demonstrated superior catalytic cracking and naphtha reforming yields. Depending on the coal liquid flow rate, the value of the DL1 material was 2.5-4.0 $/barrel greater than the base petroleum crude, while the DL2 material was 3.0-4.0 /barrel higher than the crude. Co-processing the coal liquids with lower quality, less expensive petroleum crudes that have higher sulfur, resid and metals contents was also examined. The coal liquids have higher values under this scenario, but the values are dependent on the prices of the alternative crudes.

NONE

1998-08-12T23:59:59.000Z

279

SOLERAS - Solar Energy Water Desalination Project: Exxon Research and Engineering. System design final report. Volume 3. Appendices pilot plan and design details and subsystem direct cost support  

Science Conference Proceedings (OSTI)

Details of the design of a water desalination solar pilot plant in Yanbu, Saudi Arabia are presented. The major subsystems of the plant are defined, including solar energy collection and simulation, energy storage, energy delivery, reverse osmosis/multiple effect distillation, water storage, waste disposal, backup power generators, controls and instrumentation data acquisition, facilities and enclosures, and computers. A list of the plant equipment and a set of process flow diagrams are provided. A cost analysis of the pilot plant is included. (BCS)

Not Available

1985-01-01T23:59:59.000Z

280

Energy Information Administration (EIA)- Commercial Buildings Energy  

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

5 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous 5 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous Building Characteristics Consumption & Expenditures Microdata Methodology Building Characteristics Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. All Principal Buildings Activities Number of Buildings, Total Floorspace, and Total Site and Primary Energy Consumption for All Principal Building Activities, 1995

Note: This page contains sample records for the topic "detailed energy end-use" 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

Computerized data collection for end-use experiments  

SciTech Connect

The author presents a general overview of the use of microprocessors and computers in the collection of data for energy-usage test programs for electric utility research in demand-side management. Southern California Edison has several experiments designed to measure the energy usage of various equipment and appliances in customers' homes and businesses. These projects consist primarily of two types. Some are designed to provide statistically meaningful information on the use of real, commercially available equipment by real customers. Others are designed to study equipment in various phases of development in order to analyze its potential application to energy management. From a data collection standpoint, these projects are very similar. Energy-usage data are collected over relatively short periods (five or fifteen minutes) and stored in a local microprocessor. Other pertinent information such as temperature, humidity, or flow rates may also be collected. The stored data are then routinely transmitted to a central computers.

Shirilau, M.S.

1988-01-01T23:59:59.000Z

282

Refining and end use study of coal liquids  

DOE Green Energy (OSTI)

A conceptual design and ASPEN Plus process flowsheet simulation model was developed for a Battelle biomass-based gasification, Fischer-Tropsch (F-T) liquefaction and combined-cycle power plant. This model was developed in a similar manner to those coal liquefaction models that were developed under DOE contract DE-AC22-91PC90027. As such, this process flowsheet simulation model was designed to be a research guidance tool and not a detailed process design tool. However, it does contain some process design features, such as sizing the F-T synthesis reactors. This model was designed only to predict the effects of various process and operating changes on the overall plant heat and material balances, utilities, capital and operating costs.

Choi, G.

1998-05-01T23:59:59.000Z

283

Microturbines: Technology and End-Use PQ Application Issues  

Science Conference Proceedings (OSTI)

Distributed generation (DG) is predicted to play an increasing role in the electric power system of the near future. One of the recent developments in DG technologies has been the advent of microturbines. Microturbines are small (typically 15-300 kW), high-speed generator power plants that can operate on a variety of fuels, including natural gas, diesel, gasoline, propane, kerosene, or other similar high-energy fossil fuels. Microturbines are also well suited to operate on lower grade (lower energy) fuel...

2001-09-12T23:59:59.000Z

284

An assessment of future energy use and carbon emissions from US residences  

SciTech Connect

This paper explores residential energy futures and their associated carbon emissions using an engineering-economic end-use model. The authors present detailed input assumptions and output results for twenty-four cases, each representing a different combination of electricity supply mix, demand-side policy case, and carbon tax. They describe current and projected future energy use by end-use and fuel, and assess which end-uses are growing most rapidly in importance over time.

Koomey, J.G.; Johnson, F.X.; McMahon, J.E.; Orland, M.C.; Levine, M.D.; Chan, P.; Krause, F.

1993-12-01T23:59:59.000Z

285

Technology data characterizing lighting in commercial buildings: Application to end-use forecasting with commend 4.0  

SciTech Connect

End-use forecasting models typically utilize technology tradeoff curves to represent technology options available to consumers. A tradeoff curve, in general terms, is a functional form which relates efficiency to capital cost. Each end-use is modeled by a single tradeoff curve. This type of representation is satisfactory in the analysis of many policy options. On the other hand, for policies addressing individual technology options or groups of technology options, because individual technology options are accessible to the analyst, representation in such reduced form is not satisfactory. To address this and other analysis needs, the Electric Power Research Institute (EPRI) has enhanced its Commercial End-Use Planning System (COMMEND) to allow modeling of specific lighting and space conditioning (HVAC) technology options. This report characterizes the present commercial floorstock in terms of lighting technologies and develops cost-efficiency data for these lighting technologies. This report also characterizes the interactions between the lighting and space conditioning end uses in commercial buildings in the US In general, lighting energy reductions increase the heating and decrease the cooling requirements. The net change in a building`s energy requirements, however, depends on the building characteristics, operating conditions, and the climate. Lighting/HVAC interactions data were generated through computer simulations using the DOE-2 building energy analysis program.

Sezgen, A.O.; Huang, Y.J.; Atkinson, B.A.; Eto, J.H.; Koomey, J.G.

1994-05-01T23:59:59.000Z

286

Analysis of end-use electricity consumption during two Pacific Northwest cold snaps  

SciTech Connect

The Pacific Northwest has experienced unusually cold weather during two recent heating seasons. Hourly end-use load data was collected from a sample of residential and commercial buildings during both cold snaps. Earlier work documented the changes in end-use load shapes as outdoor temperature became colder. This paper extends analysis of cold snap load shapes by comparing results from both cold snaps, exploring the variability of electricity consumption between sites, and describing the use of load shapes in simulating system load. Load shapes from the first cold snap showed that hot water use shifted to later in the morning during extremely cold weather. This shift in load also occurred during the second cold snap and is similar to the shift observed on a typical weekend. Electricity consumption averaged across many sites can mask widely varying behavior at individual sites. For example, electricity consumption for space heat varies greatly between homes, especially when many homes are able to burn wood. Electricity consumption for space heat is compared between a group of energy-efficient homes and a group of older homes.

Sands, R.D.

1992-10-01T23:59:59.000Z

287

Analysis of end-use electricity consumption during two Pacific Northwest cold snaps  

SciTech Connect

The Pacific Northwest has experienced unusually cold weather during two recent heating seasons. Hourly end-use load data was collected from a sample of residential and commercial buildings during both cold snaps. Earlier work documented the changes in end-use load shapes as outdoor temperature became colder. This paper extends analysis of cold snap load shapes by comparing results from both cold snaps, exploring the variability of electricity consumption between sites, and describing the use of load shapes in simulating system load. Load shapes from the first cold snap showed that hot water use shifted to later in the morning during extremely cold weather. This shift in load also occurred during the second cold snap and is similar to the shift observed on a typical weekend. Electricity consumption averaged across many sites can mask widely varying behavior at individual sites. For example, electricity consumption for space heat varies greatly between homes, especially when many homes are able to burn wood. Electricity consumption for space heat is compared between a group of energy-efficient homes and a group of older homes.

Sands, R.D.

1992-01-01T23:59:59.000Z

288

Realizing Building End-Use Efficiency with Ermerging Technologies  

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

通过新兴技术实现终端能效 通过新兴技术实现终端能效 Jonathan Livingston Livingston Energy Innovations, LLC 第二届中美能效论坛 5月5-6日,2011|劳伦斯伯克利国家实验室,伯克利市,加州 什么是终端能效(EE)? * 能效是一种能源资源 * 在美国广泛认为,就单一措施效果而言,能效是降低污 染、降低发电成本和减少能源价格波动的最有效的方法 * 能效是供应侧资源的一种 * 在价格可比的情况下,各州和地方政府将能效当作他们 的首要选择 (加州、密苏里州、新墨西哥州和美国西北 地区) 西北电力法案 839b(e)(1). 项目规划将把委员会认为是成本有效的资源

289

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

290

Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results  

SciTech Connect

This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

Koomey, J.G.; Brown, R.E.; Richey, R. [and others

1995-12-01T23:59:59.000Z

291

Non-Intrusive Load Monitoring (NILM)Technologies for End-Use Load Disaggregation: Laboratory Evaluation I  

Science Conference Proceedings (OSTI)

This report presents the results of a laboratory evaluation to assess the cost versus accuracy performance of residential non-intrusive load monitoring (NILM) technology. NILM is an evolving technology that can be deployed for utility and customer applications, such as end-use load disaggregation, energy audits, real-time customer information and appliance or load diagnostics. Commercial NILM products for utility and customer applications continue to emerge, although most products available today ...

2013-05-22T23:59:59.000Z

292

Theory of low-energy electron diffraction for detailed structural determination of nanomaterials: Finite-size and disordered structures  

Science Conference Proceedings (OSTI)

We describe how a recent efficient theory of low-energy electron diffraction (LEED) enables the determination of finite-size and disordered nanostructures. Our cluster approach, called NANOLEED, speeds up the computation to scale as n log n, rather than the usual n{sup 3} or n{sup 2}, with n the number of atoms, for example, thereby making nanostructures accessible. To illustrate this method's capability to determine nanoscale structure, we apply it to calculate LEED intensities for Si nanowires of various lengths and thicknesses as well as for various deviations of these nanowires from the ideal Si bulk structure.

Gavaza, G. M.; Tong, S. Y.; Van Hove, M. A. [Department of Physics and Materials Science, City University of Hong Kong (China); Yu, Z. X. [Department of Physics and Materials Science, City University of Hong Kong (China); Department of Physics, Zhongshan University, Guangzhou 510275 (China); Tsang, L. [Department of Electrical Engineering, University of Washington, Seattle, Washington 98195-2350 (United States); Chan, C. H. [Department of Electronic Engineering, City University of Hong Kong (China)

2007-06-15T23:59:59.000Z

293

ANN-based residential water end-use demand forecasting model  

Science Conference Proceedings (OSTI)

Bottom-up urban water demand forecasting based on empirical data for individual water end uses or micro-components (e.g., toilet, shower, etc.) for different households of varying characteristics is undoubtedly superior to top-down estimates originating ... Keywords: Artificial neural network, Residential water demand forecasting, Water demand management, Water end use, Water micro-component

Christopher Bennett; Rodney A. Stewart; Cara D. Beal

2013-03-01T23:59:59.000Z

294

Energy Information Administration (EIA)- Commercial Buildings Energy  

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

2 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous 2 CBECS Survey Data 2003 | 1999 | 1995 | 1992 | Previous Building Characteristics Consumption & Expenditures Microdata Methodology Building Characteristics Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings characteristics tables-number of buildings and amount of floorspace for major building characteristics. Energy consumption and expenditures tables-energy consumption and expenditures for major energy sources. Energy end-use tables-total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Guide to the 1992 CBECS Detailed Tables Released: Nov 1999 Column Categories Row Categories The first set of detailed tables for the 1992 CBECS, Tables A1 through A70,

295

Grid-Connected Integrated Community Energy System. Phase II: detailed feasibility analysis and preliminary design. Final report, Stage 2  

SciTech Connect

The purpose of this study was to determine the economic and environmental feasibility of a Grid-Connected Integrated Community Energy System (ICES) based on a multifuel (gas, oil, treated solid wastes, and coal) design with which to serve any or all the institutions within the Louisiana Medical Complex in cooperation with the Health Education Authority of Louisiana (HEAL). In this context, a preliminary design is presented which consists of ICES plant description and engineering analyses. This demonstration system is capable of meeting 1982 system demands by providing 10,000 tons of air conditioning and, from a boiler plant with a high-pressure steam capacity of 200,000 lb/h, approximately 125,000 lb/h of 185 psig steam to the HEAL institutions, and at the same time generating up to 7600 kW of electrical power as byproduct energy. The plant will consist of multiple-fuel steam boilers, turbine generator, turbine driven chillers and necessary auxiliaries and ancillary systems. The preliminary design for these systems and for the building to house the central plant systems are presented along with equipment and instrumentation schedules and outline specifications for major components. Costs were updated to reflect revised data. The final preliminary cost estimate includes allowances for contingencies and escalation, as well as cost for the plant site and professional fees. This design is for a facility specifically with coal burning capability, recognizing that it is more capital-intensive than a gas/oil facility. In the opinion of the Louisiana Department of Natural Resources (DNR), the relatively modest allocations made for scrubbing and ash removal involve less than is implied in standard industry (EPRI) cost increments of over 30% for these duties. The preliminary environmental assessment is included. (LCL)

1978-11-01T23:59:59.000Z

296

Energy Efficiency Improvement and Cost Saving Opportunities for the Glass Industry. An ENERGY STAR Guide for Energy and Plant Managers  

E-Print Network (OSTI)

Energy Markets and End Use, Washington, DC Energy InformationEnergy Markets and End Use, Washington, DC. Energy InformationEnergy Markets and End Use, Washington, DC. Energy Information

Worrell, Ernst

2008-01-01T23:59:59.000Z

297

Global warming and end-use efficiency implications of replacing CFCs  

SciTech Connect

The direct contribution of CFCs to calculated global warming has been recognized for some time. As a result of the international agreement to phase out CFCs due to stratospheric ozone and the ensuing search for suitable alternatives, there has recently been increased attention on the DIRECT global warming potential (GWP) of the fluorocarbon alternatives as greenhouse gases. However, to date there has been little focus on the INDIRECT global warming effect arising from end-use efficiency changes and associated CO{sub 2} emissions. A study being conducted at Oak Ridge National Laboratory (ORNL) addresses this combined or total global warming impact of viable options to replace CFCs in their major energy-related applications. This paper reviews selected results for air-conditioning, refrigeration, and heat pump applications. The analysis indicates that the CFC user industries have made substantial progress in approaching near-equal energy efficiency with the HCFC/HFC alternative refrigerants. The findings also bring into question the relative importance of the DIRECT (chemical-related) effect in many applications. Replacing CFCs is an important step in reducing the total global warming impact, and at present the HCFC and HFCS appear to offer the best efficiency and lowest total impact of options available in the relatively short time period required for the transition away from CFCs.

Fairchild, P.D.; Fischer, S.K.

1991-12-31T23:59:59.000Z

298

Phase 1: conceptual design. Ocean thermal energy conversion power system development. Volume 2 of 3. Technical details. Final report  

DOE Green Energy (OSTI)

Westinghouse has completed the conceptual design of the Power System for the Ocean Thermal Energy Conversion (OTEC) Demonstration Plant project. This study included the development of a conceptual design for the following three items: first, a full-size power system module for the 100 MWe Demonstration Plant; second, a scaled proof of concept power system; and third, a heat exchanger test article. The study was limited to a closed cycle ammonia power system module, using a water temperature difference of 40/sup 0/F., and a surface platform/ship reference hull. Two power module of 50 MWe each are recommended for the demonstration plant. The 50 MWe module was selected since it has the lowest cost, and since it is of a size which convincingly demonstrates that future economically viable commercial plants, having reliable operation with credible anticipated costs, are possible. A modular, tube bundle approach to heat exchanger design makes large heat exchangers practical and economical. Other power module elements are considered to be within state-of-practice. Technological assessments of all subsystems indicate requirements for verification only, rather than continued research. A complete test program, which will verify the mechanical reliability as well as thermal performance, is recommended.

Not Available

1978-01-30T23:59:59.000Z

299

Energy Information Administration - Energy Efficiency-Table 6a- End uses of  

Gasoline and Diesel Fuel Update (EIA)

a a Table 7a. Offsite-Produced Fuel Consumption per Value Of Production 1998, 2002, and 2006 (Btu per constant 2000 dollar 1) MECS Survey Years Iron and Steel Mills (NAICS2 331111) 19983 20024 20064 Total NA 19,716 12,179 Electricity NA 3,839 2,846 Natural Gas NA 8,052 5,301 Coal NA 747 228 Residual Fuel NA 21 309 Coke and Breeze NA 6,496 3,025 Notes: 1. Value of production is deflated by the chain-type price indices for iron and steel mills shipments. 2. The North American Industry Classification System (NAICS) has replaced the Standard Industrial Classification (SIC) system. NAICS 331111 includes steel works, blast furnaces (including coke ovens), and rolling mills. 3. 1998 data unavailable due to disclosure avoidance procedures in place at the time. 4. Denominators represent the value of production for the entire iron and still mills (NAICS 331111), not those based mainly on electric, natural gas, coal, residual fuel oil or coke.

300

Leveraging Limited Data Resources: Developing Commercial End-Use Information: B.C. Hydro Case Study  

Science Conference Proceedings (OSTI)

Using an innovative strategy, EPRI has combined model-based sampling, building total load research data, audits, DOE-2 models, and borrowed end-use data to produce statistically reliable end-use information for the commercial office sector. This project demonstrates that end-use data can be developed in shorter time, at less expense, with more statistically reliable results than conventionally thought. This report is available only to funders of Program 101A or 101.001. Funders may download this report a...

1996-02-07T23:59:59.000Z

Note: This page contains sample records for the topic "detailed energy end-use" 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

,"U.S. Total Distillate Fuel Oil and Kerosene Sales by End Use...  

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

Distillate Fuel Oil and Kerosene Sales by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

302

"Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel...  

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

,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze)","Other(f...

303

"End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b...  

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

Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke...

304

"End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural...  

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

Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze...

305

"Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel...  

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

","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel Fuel(c)","Natural Gas(d)","NGL(e)","Coke and Breeze...

306

,"U.S. Total Adjusted Sales of Distillate Fuel Oil by End Use...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Total Adjusted Sales of Distillate Fuel Oil by End Use",13,"Annual",2012,"6301984"...

307
308
309

An intelligent pattern recognition model to automate the categorisation of residential water end-use events  

Science Conference Proceedings (OSTI)

The rapid dissemination of residential water end-use (e.g. shower, clothes washer, etc.) consumption data to the customer via a web-enabled portal interface is becoming feasible through the advent of high resolution smart metering technologies. However, ... Keywords: Dynamic time warping algorithm, Gradient vector filtering, Hidden Markov model, Residential water flow trace disaggregation, Water demand management, Water end-use event, Water micro-component

K. A. Nguyen, R. A. Stewart, H. Zhang

2013-09-01T23:59:59.000Z

310

Survey of End-Use Metering Equipment, Sensors, and Designers/Installers  

Science Conference Proceedings (OSTI)

End-use data metering technology has come of age in the last several years, with many new specialized products becoming available. This report represents the first survey of end-use metering and monitoring equipment and of sensors typically used with such equipment. It also surveys organizations that provide design and/or installation services for demand-side management metering and monitoring systems.

1992-10-01T23:59:59.000Z

311

Methodology for Analyzing the Technical Potential for Energy Performance in the U.S. Commercial Buildings Sector with Detailed Energy Modeling: Preprint  

SciTech Connect

This paper summarizes a methodology for developing quantitative answers to the question, ''How low can energy use go within the commercial buildings sector''? The basic process is to take each building in the 1999 CBECS public use data files and create a baseline building energy model for it as if it were being built new in 2005 with code-minimum energy performance.

Griffith, B.; Crawley, D.

2006-11-01T23:59:59.000Z

312

Creating a framework for the successful implementation of energy retrofit projects: a detailed case study of energy retrofits in Atlanta's Chastain Park .  

E-Print Network (OSTI)

??This paper seeks to develop a framework for the successful implementation of energy retrofit projects in all settings, including those with the non-traditional structure and (more)

Pope, Bryan Christopher

2012-01-01T23:59:59.000Z

313

All Consumption Tables - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2009 (Trillion Btu) State Total Energy b Sources End-Use Sectors a

314

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

E-Print Network (OSTI)

Development of a Residential Forecasting Database. Lawrenceand Methodology for End-Use Forecasting with EPRI-REEPS 2.1.and Methodology for End-Use Forecasting with EPRI-REEPS 2.1.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

315

International Energy Outlook 2007  

Gasoline and Diesel Fuel Update (EIA)

System for the Analysis of Global Energy Markets (SAGE) System for the Analysis of Global Energy Markets (SAGE) Projections of world energy consumption and supply in IEO2007 were generated using EIA's SAGE model. SAGE is used to project energy use in detail at the end- use sector level. It is an integrated set of regional models that provide a technology-rich basis for estimating regional energy consumption. For each region, reference case estimates of 42 end-use energy service demands (e.g., car, commercial truck, and heavy truck road travel; residential lighting; steam heat requirements in the paper industry) are developed on the basis of economic and demographic projections. Projections of energy con- sumption to meet the energy demands are estimated on the basis of each region's existing energy use patterns, the existing stock of energy-using equipment, and the characteristics of available new technologies, as well

316

2005 RECS Consumption and Expenditures Detailed Tables  

U.S. Energy Information Administration (EIA)

Detailed Consumption and Expenditures (C&E) tables containing Space Heating, Air-Conditioning, Water Heating, and Appliance residential energy data are now available.

317

Electric Power detailed State data  

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

Detailed State Data Detailed State Data Annual data for 2012 Release Date: November 12, 2013 Next Release Date: November 2014 Revision/Corrections Annual data format 1990 - 2012 Net Generation by State by Type of Producer by Energy Source (EIA-906, EIA-920, and EIA-923)1 XLS 1990 - 2012 Fossil Fuel Consumption for Electricity Generation by Year, Industry Type and State (EIA-906, EIA-920, and EIA-923)2 XLS 1990 - 2011 Existing Nameplate and Net Summer Capacity by Energy Source, Producer Type and State (EIA-860)1, 3 XLS 2011 - 2016 Proposed Nameplate and Net Summer Capacity by Year, Energy Source, and State (EIA-860)1 XLS 1990 - 2011 U.S. Electric Power Industry Estimated Emissions by State (EIA-767, EIA-906, EIA-920, and EIA-923)4 XLS 1990 - 2012 Average Price by State by Provider (EIA-861)5 XLS

318

Trends in Renewable Energy Consumption and Electricity  

Reports and Publications (EIA)

Presents a summary of the nations renewable energy consumption in 2010 along with detailed historical data on renewable energy consumption by energy source and end-use sector. Data presented also includes renewable energy consumption for electricity generation and for non-electric use by energy source, and net summer capacity and net generation by energy source and State. The report covers the period from 2006 through 2010.

2012-12-11T23:59:59.000Z

319

Evaluation of consumer demand for selected end-use markets for cotton  

E-Print Network (OSTI)

The U.S. cotton industry is facing a rapidly diminishing share of the domestic and foreign textile markets. To become more competitive in these markets, the textile industry should know where consumer demand is being directed. The objectives of this study were to quantitatively examine the demand for cotton in twelve selected end-uses from 1973 to 1997. Four structural models were developed to explain demand, two of which were built using the results from directed graphs. Changes in fashion and governmental policy were also assessed during this time period. Economic theory and prior literature suggested that the following factors influence demand at the end-use level: Disposable Personal Income, the Consumer Price Index for Apparel and Upkeep, cotton fiber prices lagged one year, polyester fiber prices lagged one year, and population segmented by age and gender. Regression results indicate that the Consumer Price Index, the lagged polyester prices, and the population variables most significantly contribute to the demand for cotton. A negative polyester coefficient was associated in all cases of significance, characterizing cotton and polyester fiber as complements in end-uses. Out-of-sample forecasts were generated for the years 1993 to 1997, and then evaluated using the Theil's U statistic, the Root Mean Square Error, and the Mean Absolute Percentage Error. The forecasts from the full models, those with all variables, outperformed the directed graph models in terms of predictive power. Differences in significant variables and variability in forecasting accuracy among the different end-uses suggests that there is an inherent difficulty in modeling the demand for a fiber in its end-use. A common saying in the fashion industry is that "the only constant is change." A constantly changing industry thus presents difficulty in quantifying, modeling, and forecasting.

Viator, Catherine Longman

2000-01-01T23:59:59.000Z

320

Current and future industrial energy service characterizations  

DOE Green Energy (OSTI)

Current and future energy demands, end uses, and cost used to characterize typical applications and resultant services in the industrial sector of the United States and 15 selected states are examined. A review and evaluation of existing industrial energy data bases was undertaken to assess their potential for supporting SERI research on: (1) market suitability analysis, (2) market development, (3) end-use matching, (3) industrial applications case studies, and (4) identification of cost and performance goals for solar systems and typical information requirements for industrial energy end use. In reviewing existing industrial energy data bases, the level of detail, disaggregation, and primary sources of information were examined. The focus was on fuels and electric energy used for heat and power purchased by the manufacturing subsector and listed by 2-, 3-, and 4-digit SIC, primary fuel, and end use. Projections of state level energy prices to 1990 are developed using the energy intensity approach. The effects of federal and state industrial energy conservation programs on future industrial sector demands were assessed. Future end-use energy requirements were developed for each 4-digit SIC industry and were grouped as follows: (1) hot water, (2) steam (212 to 300/sup 0/F, each 100/sup 0/F interval from 300 to 1000/sup 0/F, and greater than 1000/sup 0/F), and (3) hot air (100/sup 0/F intervals). Volume I details the activities performed in this effort.

Krawiec, F.; Thomas, T.; Jackson, F.; Limaye, D.R.; Isser, S.; Karnofsky, K.; Davis, T.D.

1980-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "detailed energy end-use" 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

1997 Consumption and Expenditures-Detailed Data Tables  

U.S. Energy Information Administration (EIA)

1997 Resdiential Energy Consumption Survey(RECS)-1997 Consumption and Expenditures-1997 Detailed Tables, Energy Information Administration

322

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

htrbine Steam turbine or boiler IC or reciprocatin~ engme hturbine Steam turbine or boiler 0.15-0.42 c 0.10-0.35 250If a steam turbine or boiler was reported as a cogeneration

McKone, Thomas E.

2011-01-01T23:59:59.000Z

323

Utah Natural Gas Consumption by End Use - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Gas volumes ...

324

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.1  

E-Print Network (OSTI)

consumption and solar water heaters with efficient backups;solar water heating systems with efficent electrical backup heaters

Authors, Various

2011-01-01T23:59:59.000Z

325

Texas Natural Gas Consumption by End Use - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Gas volumes ...

326

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Resource Integrated Database (eGRID v 2.01). US EPA OfficeResource Integrated Database (eGRID) (EPA, 2003) are 4.2 andCalifornia for the year 2000. eGRID relies on AP-42 emission

McKone, Thomas E.

2011-01-01T23:59:59.000Z

327

Table US12. Total Consumption by Energy End Uses, 2005 Quadrillion ...  

U.S. Energy Information Administration (EIA)

Quadrillion British Thermal Units (Btu) U.S. Households (millions) Other Appliances and Lighting Space Heating (Major Fuels) 4 Air-Conditioning 5 Water Heating 6 ...

328

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Tulare Gas Fueled Reciprocating Cogen Engine Gas TurbineGas Turbine Combined Cycle Steam Turbine Cogen Not Cogen NotGas Kern Natural Gas/Eor Gas Turbine Kern Ag. & Woodwaste

McKone, Thomas E.

2011-01-01T23:59:59.000Z

329

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2  

E-Print Network (OSTI)

ton) Community Unsorted Garbage Pick-Up Costs Somerville (5%garbage processing facility -- with separate collection of the recyclable materials through a community pick-up

Authors, Various

2011-01-01T23:59:59.000Z

330

Table 3.4 Consumer Price Estimates for Energy by End-Use ...  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating ... storage, imports and exports, production, prices, sales. Electricity. Sales, revenue and prices ... 1972: 1.18: R 1.61: 7.09: 2.37.86 ...

331

Table 3.6 Consumer Expenditure Estimates for Energy by End-Use ...  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating oil ... storage, imports and exports, production, prices, sales. Electricity. Sales, revenue and prices ... 1972: 6,223: 4,623: 13,034 ...

332

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Woodwaste Natural Gas Steam Turbine Cogen Sierra Tulare GasGas Turbine Combined Cycle Steam Turbine Cogen Not Cogen NotNot Cogen Cogen Cogen Kern Steam Turbine Steam Turbne Lassen

McKone, Thomas E.

2011-01-01T23:59:59.000Z

333

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2  

E-Print Network (OSTI)

to Elec (RDSF) MSW to Elec (Oil) Source Separation *Million~----------- MSW to Elec (Oil) Source Separation(2) *D.C.Oil Bituminous (Incineration) Coal Particulates Sulphur Oxide Carbon Monoxide Hydrocarbon Nitrogen Oxide Source:

Authors, Various

2011-01-01T23:59:59.000Z

334

Table US14. Average Consumption by Energy End Uses, 2005 Million ...  

U.S. Energy Information Administration (EIA)

Million British Thermal Units (Btu) per Household U.S. Households (millions) Other Appliances and Lighting Space Heating 4 Air-Conditioning 5 Water Heating 6 ...

335

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

petroleum coke and/ or crude oil), 86% of this generationsuch as petroleum coke and/ or crude oil within the state ofto petroleum coke and crude oil were not available, the EFj,

McKone, Thomas E.

2011-01-01T23:59:59.000Z

336

Canadian Residential Energy End-use Data and Analysis Centre CREEDAC, Dalhousie University  

E-Print Network (OSTI)

-mail: creedac@dal.ca WWW: http://www.dal.ca/daltech/creedac Appliance Choice Functions (CREEDAC-1999: Merih Aydinalp Alan S. Fung V. Ismet Ugursal April, 1999 #12;Appliance Choice Functions Page i/55...........................................................................................32 #12;Appliance Choice Functions Page ii/55 CREEDAC March 1999 LIST OF TABLES Table 1. The number

337

Canadian Residential Energy End-use Data and Analysis Centre CREEDAC, Dalhousie University  

E-Print Network (OSTI)

of the existing heating system and appliances by higher efficiency units, as well as minor retrofits 51 31 82 50 30 80 310 190 500 1.15 0.88 1.03 Appliance Upgrade Scenarios Replace with high.02 Cooking appliances 11 -71 106 35 0 10 10 -50 70 20 -0.19 0.32 0.04 Minor Appliance Upgrade Scenarios High

338

Canadian Residential Energy End-use Data and Analysis Centre CREEDAC, Dalhousie University  

E-Print Network (OSTI)

-mail:creedac@dal.ca http://www.dal.ca/~daltech ENERGUIDE FOR HOUSES DATABASE ANALYSIS (CREEDAC-2001-04-03) Submitted to Database Analysis CREEDAC Page v LIST OF TABLES Table 1. The typical EnerGuide Rating and corresponding;EGH Database Analysis CREEDAC Page 1 1 INTRODUCTION The objective of this study is to analyze the EnerGuide

339

Table 2.5 Household Energy Consumption and Expenditures by End Use ...  

U.S. Energy Information Administration (EIA)

Air Conditioning: Water Heating: Appliances, 2 Electronics, and Lighting : Natural Gas: Elec-tricity 3: Fuel Oil 4: LPG 5: Total: Electricity 3: Natural Gas: Elec ...

340

Ohio Natural Gas Consumption by End Use - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Gas volumes ...

Note: This page contains sample records for the topic "detailed energy end-use" 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

Table US14. Average Consumption by Energy End Uses, 2005 Million ...  

U.S. Energy Information Administration (EIA)

a climate zone according to the 30-year average annual degree-days for an appropriate nearby weather station.

342

Table US15. Average Expenditures by Energy End Uses, 2005 Dollars ...  

U.S. Energy Information Administration (EIA)

Climate Zone 1 Less than 2,000 CDD and--Greater than 7,000 HDD..... 10.9 1,982 839 90 300 145 671 5,500 to 7,000 HDD ...

343

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Gas Turbine Gas Turbine Combined Cycle Steam Turbine CogenEastridge Sunrise Ii Combined Cycle Expansion Midway-Sunset0.33-0.39 a CHP/cogen/ Combined cycle O.4 b c 0.58-0.84 d

McKone, Thomas E.

2011-01-01T23:59:59.000Z

344

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Cogen Cogen Natural Gas Landfill Gas Tulare Tulare Woodwasteand wood waste, landfill gas, and mlmicipal solid waste andscf digester gas, or Btu/ scf landfill gas. HVs are given in

McKone, Thomas E.

2011-01-01T23:59:59.000Z

345

Table 3.4 Consumer Price Estimates for Energy by End-Use ...  

U.S. Energy Information Administration (EIA)

1999. 6.50 : 7.78 [R] 23.93: 13.15 [R] 5.22 ... includes fuel ethanol blended into motor gasoline. Notes: Prices include taxes where ... includes fu ...

346

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

WTE primary fuel powered electricity generating plants in a)WTE primary fuel powered electricity generating plants in a)plant generating electricity from a specific fuel-technology

McKone, Thomas E.

2011-01-01T23:59:59.000Z

347

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

gas-fired plants, coal-fired plants as well as those plantsd). Because all of the coal-fired plants located in ruralof emissions from coal fired plants (induding petroleum coke

McKone, Thomas E.

2011-01-01T23:59:59.000Z

348

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Spi- Sonora Woodwaste Natural Gas Steam Turbine Cogen SierraCogen Not Cogen Cogen Natural Gas Landfill Gas Tulare TulareMidsun Partners Sekr Cogen Natural Gas Natural Gas o Cogen o

McKone, Thomas E.

2011-01-01T23:59:59.000Z

349

Table 3.6 Consumer Expenditure Estimates for Energy by End-Use ...  

U.S. Energy Information Administration (EIA)

1 Prices are not adjusted for inflation. See "Nominal Dollars" in Glossary. 8 Wood and wood-derived fuels, and biomass waste; excludes fuel ethanol and biodiesel.

350

Table C10. Energy Consumption by End-Use Sector, Ranked by ...  

U.S. Energy Information Administration (EIA)

R A N K I N G S. Title: All Consumption Tables.vp Author: KSM Created Date: 6/27/2013 12:52:48 PM ...

351

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Protection Agency ESP: electrostatic precipitator FFx: fatemultiple cyclone, scrubber, ESP, or baghouse); Pc, drymultiple cyclone, scrubber, ESP, or baghouses); PC, wet-

McKone, Thomas E.

2011-01-01T23:59:59.000Z

352

Michigan Sales of Kerosene by End Use - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum ...

353

Texas Natural Gas Consumption by End Use - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Gas volumes ...

354

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

Natural Gas Natural Gas a) Urban power plants (continued)Natural Gas Natural Gas b) rural power plants (continued)Haynes Natural Gas Los Angeles a) Urban power plants (

McKone, Thomas E.

2011-01-01T23:59:59.000Z

355

ENERGY CONSERVATION: POLICY ISSUES AND END-USE SCENARIOS OF SAVINGS POTENTIAL PT.2  

E-Print Network (OSTI)

Processing Techniques A. Capital Intensity and OperatingPROCESSING TECHNIQUES A. CAPITAL INTENSITY AND OPERATINGconcur about the high capital intensity of large-scale

Authors, Various

2011-01-01T23:59:59.000Z

356

Table A19. Energy-related carbon dioxide emissions by end use ...  

U.S. Energy Information Administration (EIA)

vehicles, laboratory fume hoods, laundry equipment, coffee brewers, water services, pumps, emergency generators, combined heat and power in commercial ...

357

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

location, whether or not cogeneration technologies are used,in rural regions use cogeneration technologies and thisof coal- powered cogeneration plants are not provided by the

McKone, Thomas E.

2011-01-01T23:59:59.000Z

358

Public Health Benefits of End-Use Electrical Energy Efficiency in California: An Exploratory Study  

E-Print Network (OSTI)

fuel, lignite, and petroleum coke and/ or crude oil), 86% ofalternatives such as petroleum coke and/ or crude oil withinEFj,js relevant to petroleum coke and crude oil were not

McKone, Thomas E.

2011-01-01T23:59:59.000Z

359

Refining and end use study of coal liquids. Quarterly report, July-- September 1995  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the US Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed.

NONE

1995-12-31T23:59:59.000Z

360

Table 2.6 Household End Uses: Fuel Types, Appliances, and ...  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook Energy Disruptions International Energy Outlook ... 1984: 1987: 1990: 1993: 1997: 2001 :

Note: This page contains sample records for the topic "detailed energy end-use" 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

Emerging energy-efficient industrial technologies  

E-Print Network (OSTI)

Market Information: Industries End-use(s) Energy typesNotes Market Information: Industries End-use(s) Energy typesNotes Market Information: Industries End-use(s) Energy types

2000-01-01T23:59:59.000Z

362

The End-Use Technology Assessment Project: A Load-Shape Analysis of Ground Source Heat Pumps and Good Cents Homes  

Science Conference Proceedings (OSTI)

Interest is growing in end-use technology applications that promote overall energy efficiency through increased electricity use. This study will help utilities understand the impacts of such applications by providing load-shape information on ground source heat pumps as well as energy-efficient appliances promoted through Good Cents Homes programs. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/Applications/DE/Community/index...

1995-05-27T23:59:59.000Z

363

Measured electric hot water standby and demand loads from Pacific Northwest homes. End-Use Load and Consumer Assessment Program  

SciTech Connect

The Bonneville Power Administration began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983 to obtain metered hourly end-use consumption data for a large sample of new and existing residential and commercial buildings in the Pacific Northwest. Loads and load shapes from the first 3 years of data fro each of several ELCAP residential studies representing various segments of the housing population have been summarized by Pratt et al. The analysis reported here uses the ELCAP data to investigate in much greater detail the relationship of key occupant and tank characteristics to the consumption of electricity for water heating. The hourly data collected provides opportunities to understand electricity consumption for heating water and to examine assumptions about water heating that are critical to load forecasting and conservation resource assessments. Specific objectives of this analysis are to: (A) determine the current baseline for standby heat losses by determining the standby heat loss of each hot water tank in the sample, (B) examine key assumptions affecting standby heat losses such as hot water temperatures and tank sizes and locations, (C) estimate, where possible, impacts on standby heat losses by conservation measures such as insulating tank wraps, pipe wraps, anticonvection valves or traps, and insulating bottom boards, (D) estimate the EF-factors used by the federal efficiency standards and the nominal R-values of the tanks in the sample, (E) develop estimates of demand for hot water for each home in the sample by subtracting the standby load from the total hot water load, (F) examine the relationship between the ages and number of occupants and the hot water demand, (G) place the standby and demand components of water heating electricity consumption in perspective with the total hot water load and load shape.

Pratt, R.G.; Ross, B.A.

1991-11-01T23:59:59.000Z

364

Detailed Test Information  

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

Detailed Test Information Detailed Test Information EPA tests vehicles by running them through a series of driving routines, also called cycles or schedules, that specify vehicle speed for each point in time during the laboratory tests. For 2007 and earlier model year vehicles, only the city and highway schedules were used. Beginning with 2008 models, three additional tests will be used to adjust the city and highway estimates to account for higher speeds, air conditioning use, and colder temperatures. Note: EPA has established testing criteria for electric vehicles and plug-in hybrids that are slightly different than those for conventional vehicles. New Tests City Highway High Speed Air Conditioning Cold Temperature Detailed Comparison EPA Federal Test Procedure (City Schedule): Shows vehicle speed (mph) at each second of test

365

Evaluation of Embedded Solutions for Decreasing Sensitivity of End-Use Equipment to Power Quality Variations  

Science Conference Proceedings (OSTI)

This document provides a conceptual overview of embedded solutions for sensitivity to power quality variations, assesses its benefits, and describes its potential in four end-use equipment categories. The report focuses on the technical and market issues associated with equipment modification provided by original equipment manufacturers (OEMs) to improve equipment tolerance to various power quality phenomena. The report describes approaches and technologies for improving performance, discusses specific i...

1999-12-14T23:59:59.000Z

366

TMS 2011: Exhibitor Details  

Science Conference Proceedings (OSTI)

... and Construction, Refinery and Petrochemical, Ports and Shipyards, Oil and Gas, Power generation and Transmission, Green resource and Energy, etc.

367

Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products  

E-Print Network (OSTI)

Administration, Office of Energy Markets and End Use.Administration, Office of Energy Markets and End Use.Protection Agency: ENERGY STAR Market Share of computers,

Homan, GregoryK

2010-01-01T23:59:59.000Z

368

Calendar Year 2009 Program Benefits for ENERGY STAR Labeled Products  

E-Print Network (OSTI)

Administration, Office of Energy Markets and End Use.Administration, Office of Energy Markets and End Use.ICF Consulting. 2003. Energy Star Market Penetration Report

Homan, Gregory K

2011-01-01T23:59:59.000Z

369

Calendar Year 2007 Program Benefits for ENERGY STAR Labeled Products  

E-Print Network (OSTI)

Administration, Office of Energy Markets and End Use.Administration, Office of Energy Markets and End Use.Protection Agency: ENERGY STAR Market Share of computers,

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

370

Refining and end use study of coal liquids. Quarterly report, January--March 1996  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M. W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the US Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed. The major efforts conducted during the first quarter of 1996 were in the areas of: DL2 light distillate hydrotreating; and DL2 heave distillate catalytic cracking.

NONE

1996-09-01T23:59:59.000Z

371

Refining and end use of coal liquids. Quarterly report, April--June 1994  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellogg Co. as subcontractors, initialed a study on November 1, 1993, for the U.S. Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. This 47-month study, with an approved budget of $4.4 million dollars, is being performed under DOE Contract Number DE-AC22-93PC91029. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An intregral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed.

Not Available

1995-01-01T23:59:59.000Z

372

Refining and end use study of coal liquids. Quarterly report, October 1994--December 1994  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the U.S. Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. This 47-month study, with an approved budget of $4.4 million dollars, is being performed under DOE Contract Number DE-AC22-93PC91029. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed. To enhance management of the study, the work has been divided into two parts, the Basic Program and Option 1.

NONE

1995-05-01T23:59:59.000Z

373

Refining and end use study of coal liquids. Quarterly report, July - September 1996  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M. W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the U.S. Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. This 47-month study, with an approved budget of $4.4 million dollars, is being performed under DOE Contract Number DE-AC22-93PC91029. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed. The major efforts conducted during the third quarter of 1996 were in the areas of hydrotreating production runs and FCC production run. 3 figs., 8 tabs.

NONE

1996-12-31T23:59:59.000Z

374

TMS 2011: Exhibitor Details  

Science Conference Proceedings (OSTI)

... of energy sources, including hydro, nuclear, gas, coal and wind, and it offers a wide range of solutions for power transmission, with a focus on smart grids.

375

TMS 2011: Exhibitor Details  

Science Conference Proceedings (OSTI)

... cement and construction, refinery and petrochemical, ports and shipyards, oil and gas, power generation and transmission, green resource, and energy, etc.

376

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

E-Print Network (OSTI)

Homes End-Use Equipment Type Equipment Market Shares Index Heating ElecFurnace Gas Furnace LPG Furnace OilHomes (millions) End-Use Equipment Type Appliance stock in millions of units Index Heating FJec Furnace Gas Furnace L P G Furnace OilHomes End-Use Equipment Type Units Efficiency for Stock Equipment Index Heating Elec Furnace Btu.out/Wh.in Gas Furnace AFUE LPG Furnace AFUE Oil

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

377

Clean Cities: NewsDetail  

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

Tweet about Clean Cities: NewsDetail on Twitter Bookmark Clean Cities: NewsDetail on Google Bookmark Clean Cities: NewsDetail on Delicious Rank Clean Cities: NewsDetail on Digg...

378

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

Eighth Electric Utility Forecasting Symposium in Baltimore,Development of a Residential Forecasting Database. Lawrenceand Methodology for End-Use Forecasting with EPRI-REEPS 2.1.

Johnson, F.X.

2010-01-01T23:59:59.000Z

379

Financing End-Use Solar Technologies in a Restructured Electricity Industry  

E-Print Network (OSTI)

Efficiency and Renewable Energy, Office of Utility Technologies, Office of Energy Management Division

380

Financing end-use solar technologies in a restructured electricity industry: Comparing the cost of public policies  

DOE Green Energy (OSTI)

Renewable energy technologies are capital intensive. Successful public policies for promoting renewable energy must address the significant resources needed to finance them. Public policies to support financing for renewable energy technologies must pay special attention to interactions with federal, state, and local taxes. These interactions are important because they can dramatically increase or decrease the effectiveness of a policy, and they determine the total cost of a policy to society as a whole. This report describes a comparative analysis of the cost of public policies to support financing for two end-use solar technologies: residential solar domestic hot water heating (SDHW) and residential rooftop photovoltaic (PV) systems. The analysis focuses on the cost of the technologies under five different ownership and financing scenarios. Four scenarios involve leasing the technologies to homeowners in return for a payment that is determined by the financing requirements of each form of ownership. For each scenario, the authors examine nine public policies that might be used to lower the cost of these technologies: investment tax credits (federal and state), production tax credits (federal and state), production incentives, low-interest loans, grants (taxable and two types of nontaxable), direct customer payments, property and sales tax reductions, and accelerated depreciation.

Jones, E.; Eto, J.

1997-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "detailed energy end-use" 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

Policy Drivers for Improving Electricity End-Use Efficiency in the U.S.: An Economic-Engineering Analysis  

E-Print Network (OSTI)

This paper estimates the economically achievable potential for improving electricity end-use efficiency in the U.S. The approach involves identifying a series of energy-efficiency policies aimed at tackling market failures, and then examining their impacts and cost-effectiveness using Georgia Techs version of the National Energy Modeling System (GT-NEMS). By estimating the policy-driven electricity savings and the associated levelized costs, a policy supply curve for electricity efficiency is produced. Each policy is evaluated individually and in an Integrated Policy scenario to examine policy dynamics. The Integrated Policy scenario demonstrates significant achievable potential: 261 TWh (6.5%) of electricity savings in 2020, and 457 TWh (10.2%) in 2035. All eleven policies examined were estimated to have lower levelized costs than average electricity retail prices. Levelized costs range from 0.5 8.0 cent/kWh, with the regulatory and information policies tending to be most cost-effective. Policy impacts on the power sector, carbon dioxide emissions, and energy intensity are also estimated to be significant. *Corresponding author:

Yu Wang; Marilyn A. Brown; Yu Wang

2013-01-01T23:59:59.000Z

382

Emerging energy-efficient industrial technologies  

E-Print Network (OSTI)

an existing Market Information: Industries End-use(s) EnergyGas Boiler Market Information: Industries End-use(s) Energyelectricity Market Information: Industries End-use(s) Energy

2000-01-01T23:59:59.000Z

383

Environmental Life-cycle Assessment of Passenger Transportation: A Detailed Methodology for Energy, Greenhouse Gas and Criteria Pollutant Inventories of Automobiles, Buses, Light Rail, Heavy Rail and Air  

E-Print Network (OSTI)

Environment Agency, 12/2006. [EERE 2002] U.S. LightingVersion: its_report_06.doc) [EERE 2007] 2007 BuildingsRenewable Energy, 2007. [EERE] U.S. Department of Energy,

Chester, Mikhail; Horvath, Arpad

2007-01-01T23:59:59.000Z

384

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

E-Print Network (OSTI)

Natural Gas Oil Lighting 0-1 hrs 1-2 his 2-3 hrs Usage levelgas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs Usagegas Oil Dishwasher End-Use Lighting 0-1 hrs 1-2 hrs Usage

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

385

Calendar Year 2007 Program Benefits for U.S. EPA Energy Star Labeled Products: Expanded Methodology  

E-Print Network (OSTI)

Administration, Office of Energy Markets and End Use.Administration, Office of Energy Markets and End Use.Total Shipments Star Energy Market Star Share Shipments

Sanchez, Marla

2010-01-01T23:59:59.000Z

386

1980 survey and evaluation of utility conservation, load management, and solar end-use projects. Volume 3: utility load management projects. Final report  

DOE Green Energy (OSTI)

The results of the 1980 survey of electric utility-sponsored energy conservation, load management, and end-use solar energy conversion projects are described. The work is an expansion of a previous survey and evaluation and has been jointly sponsored by EPRI and DOE through the Oak Ridge National Laboratory. There are three volumes and a summary document. Each volume presents the results of an extensive survey to determine electric utility involvement in customer-side projects related to the particular technology (i.e., conservation, solar, or load management), selected descriptions of utility projects and results, and first-level technical and economic evaluations.

Not Available

1982-01-01T23:59:59.000Z

387

NREL: Technology Transfer - Updated Report Details an Emerging ...  

Updated Report Details an Emerging CPV Industry January 5, 2010. In November, the National Renewable Energy Laboratory ... Technology Transfer Home;

388

Table 8.9 Electricity End Use, 1949-2011 (Billion Kilowatthours)  

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook ... Company Monthly Statement." - 1984-1996-EIA, Form EIA-861, "Annual Electric Utility Report." - 1997

389

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Carolina" "1. Duke Energy Carolinas, LLC","Investor-Owned",57850382,23089681,22484849,12268802,7050 "2. Progress Energy Carolinas Inc","Investor-Owned",39075352,16820714,13892621,8...

390

Consumption & Efficiency - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... energy sources, end uses, energy management features, ...

391

The Reality and Future Scenarios of Commercial Building Energy Consumption in China  

SciTech Connect

While China's 11th Five Year Plan called for a reduction of energy intensity by 2010, whether and how the energy consumption trend can be changed in a short time has been hotly debated. This research intends to evaluate the impact of a variety of scenarios of GDP growth, energy elasticity and energy efficiency improvement on energy consumption in commercial buildings in China using a detailed China End-use Energy Model. China's official energy statistics have limited information on energy demand by end use. This is a particularly pertinent issue for building energy consumption. The authors have applied reasoned judgments, based on experience of working on Chinese efficiency standards and energy related programs, to present a realistic interpretation of the current energy data. The bottom-up approach allows detailed consideration of end use intensity, equipment efficiency, etc., thus facilitating assessment of potential impacts of specific policy and technology changes on building energy use. The results suggest that: (1) commercial energy consumption in China's current statistics is underestimated by about 44%, and the fuel mix is misleading; (2) energy efficiency improvements will not be sufficient to offset the strong increase in end-use penetration and intensity in commercial buildings; (3) energy intensity (particularly electricity) in commercial buildings will increase; (4) different GDP growth and elasticity scenarios could lead to a wide range of floor area growth trajectories , and therefore, significantly impact energy consumption in commercial buildings.

Zhou, Nan; Lin, Jiang

2007-08-01T23:59:59.000Z

392

The Reality and Future Scenarios of Commercial Building Energy Consumption in China  

SciTech Connect

While China's 11th Five Year Plan called for a reduction of energy intensity by 2010, whether and how the energy consumption trend can be changed in a short time has been hotly debated. This research intends to evaluate the impact of a variety of scenarios of GDP growth, energy elasticity and energy efficiency improvement on energy consumption in commercial buildings in China using a detailed China End-use Energy Model. China's official energy statistics have limited information on energy demand by end use. This is a particularly pertinent issue for building energy consumption. The authors have applied reasoned judgments, based on experience of working on Chinese efficiency standards and energy related programs, to present a realistic interpretation of the current energy data. The bottom-up approach allows detailed consideration of end use intensity, equipment efficiency, etc., thus facilitating assessment of potential impacts of specific policy and technology changes on building energy use. The results suggest that: (1) commercial energy consumption in China's current statistics is underestimated by about 44%, and the fuel mix is misleading; (2) energy efficiency improvements will not be sufficient to offset the strong increase in end-use penetration and intensity in commercial buildings; (3) energy intensity (particularly electricity) in commercial buildings will increase; (4) different GDP growth and elasticity scenarios could lead to a wide range of floor area growth trajectories , and therefore, significantly impact energy consumption in commercial buildings.

Zhou, Nan; Lin, Jiang

2007-08-01T23:59:59.000Z

393

Analysis of the differences in energy simulation results between building information modeling (BIM)-based simulation method and the detailed simulation method  

Science Conference Proceedings (OSTI)

Building Information Modeling (BIM)-based simulation models have been used to automate lengthy building energy modeling processes and it enable fast acquisition of results. Recent improvements of simulation programs have continued to the increase in ...

Seongchan Kim; Jeong-Han Woo

2011-12-01T23:59:59.000Z

394

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

E-Print Network (OSTI)

Richard E. Brown, James W. Hanford, Alan H . Sanstad, andFrancis X . , James W. Hanford, Richard E. Brown, Alan H.place for these end-uses (Hanford et al. 1994, Hwang et al.

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

395

Clean Cities: Clean Cities Financial Opps Details NewsDetail  

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

Financial Opportunities Printable Version Share this resource Send a link to Clean Cities: Clean Cities Financial Opps Details NewsDetail to someone by E-mail Share Clean Cities:...

396

Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program  

E-Print Network (OSTI)

Administration, Office of Energy Markets and End Use.Administration, Office of Energy Markets and End Use.ICF Consulting. 2003. Energy Star Market Penetration Report

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

397

End-use electrification in the residential sector : a general equilibrium analysis of technology advancements  

E-Print Network (OSTI)

The residential sector in the U.S. is responsible for about 20% of the country's primary energy use (EIA, 2011). Studies estimate that efficiency improvements in this sector can reduce household energy consumption by over ...

Madan, Tanvir Singh

2012-01-01T23:59:59.000Z

398

Table E3. Electricity Consumption (Btu) by End Use for Non ...  

U.S. Energy Information Administration (EIA)

Notes: Due to rounding, data may not sum to totals. HVAC = Heating, Ventilation, and Air Conditioning. Source: Energy Information Administration, ...

399

NETL: Gasifipedia - Gasification in Detail  

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

Commercial Gasifiers Commercial Gasifiers Types of Gasifiers Although there are various types of gasifers (gasification reactors), different in design and operational characteristics, there are three main gasifier classifications into which most of the commercially available gasifiers fall. These categories are as follows: Fixed-bed gasifiers (also referred as moving-bed gasifiers) Entrained-flow gasifiers Fluidized-bed gasifiers Commercial gasifiers of GE Energy, ConocoPhillips E-Gas(tm) and Shell SCGP are examples of entrained-flow types. Fixed-or moving-bed gasifiers include that of Lurgi and British Gas Lurgi (BGL). Fluidized-bed gasifiers include the catalytic gasifier technology being commercialized by Great Point Energy, the Winkler gasifier, and the KBR transport gasifiers. For more specific information on these gasifiers, follow the links for the bulleted gasifier types above. NOTE: Although specific gasifiers named above are described in detail throughout this website, it is realized that other gasification technologies exist. The gasifiers discussed herein were not preferentially chosen by NETL.

400

Property Types, Definitions, and Use Detail  

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

Types, Definitions, and Use Details Types, Definitions, and Use Details The property types listed on pages 1 through 7 are eligible to receive the 1-100 ENERGY STAR score. The Use Details marked with an asterisk are required in order to receive a score. Portfolio Manager now contains more than 80 property types to choose from when setting up your property, in order to best identify the primary use of your property. Although the building types for which the 1-100 ENERGY STAR score is currently available will not change, the expanded list of property types that can be selected will offer users more specific and accurate categorization for comparison. See below for the full list of property types available in Portfolio Manager, along with their definitions and the property use details that you will need to enter.

Note: This page contains sample records for the topic "detailed energy end-use" 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

I/O Benchmarking Details  

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

IO Benchmarking Details IO Benchmarking Details These benchmarks are simply the transfer rate for copying some files from an eliza file system to TMPDIR on a batch node. Each...

402

VEHICLE DETAILS AND BATTERY SPECIFICATIONS  

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

Page 1 of 6 VEHICLE DETAILS AND BATTERY SPECIFICATIONS 1 Vehicle Details Base Vehicle: 2013 Chevrolet Volt VIN: 1G1RA6E40DU103929 Propulsion System: Multi-Mode PHEV (EV, Series,...

403

VEHICLE DETAILS AND BATTERY SPECIFICATIONS  

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

Page 1 VEHICLE DETAILS AND BATTERY SPECIFICATIONS 1 Vehicle Details Base Vehicle: 2011 Chevrolet Volt VIN: 1G1RD6E48BU100815 Propulsion System: Multi-Mode PHEV (EV, Series, and...

404

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Frequency Comb, Ultrafast Laser. ...

405

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Iron-Based Superconductors. Description ...

406

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Space Weather Forecasts. Description ...

407

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: Organic Solar Power. Description ...

408

Energy Implications of Minienvironment in Clean Spaces: A Case Study on Minienvironment Energy End-use and Performance  

E-Print Network (OSTI)

6 4.1 Electric Power15 5.3.3 Electric Poweruse in cleanrooms. High electric power density for fans to

Xu, Tengfang

2005-01-01T23:59:59.000Z

409

Energy Implications of Minienvironment in Clean Spaces: A Case Study on Minienvironment Energy End-use and Performance  

E-Print Network (OSTI)

speed at the design condition. fan motors were oversized andDesign-based Estimation Previous studies indicated that the fan-the design airflow rate. This corresponded to the fan power

Xu, Tengfang

2005-01-01T23:59:59.000Z

410

Energy Conservation: Policy Issues and End-Use Scenarios of Savings Potential -- Part 4, Energy Efficient Recreational Travel  

E-Print Network (OSTI)

information is one of the weak links in the modal choiceinformation flow is a very weak link in the decision to use

Cornwall, B.

2011-01-01T23:59:59.000Z

411

Fort Irwin Integrated Resource Assessment. Volume 2, Baseline detail  

SciTech Connect

This report documents the assessment of baseline energy use at Fort Irwin, a US Army Forces Command facility near Barstow, California. It is a companion report to Volume 1, Executive Summary, and Volume 3, Integrated Resource Assessment. The US Army Forces Command (FORSCOM) has tasked the US Department of Energy (DOE) Federal Energy Management Program (FEMP), supported by the Pacific Northwest Laboratory (PNL), to identify, evaluate, and assist in acquiring all cost-effective energy projects at Fort Irwin. This is part of a model program that PNL has designed to support energy-use decisions in the federal sector. This program (1) identifies and evaluates all cost-effective energy projects; (2) develops a schedule at each installation for project acquisition considering project type, size, timing, and capital requirements, as well as energy and dollar savings; and (3) targets 100% of the financing required to implement energy efficiency projects. PNL applied this model program to Fort Irwin. This analysis examines the characteristics of electric, propane gas, and vehicle fuel use for a typical operating year. It records energy-use intensities for the facilities at Fort Irwin by building type and energy end use. It also breaks down building energy consumption by fuel type, energy end use, and building type. A complete energy consumption reconciliation is presented that accounts for all energy use among buildings, utilities, and applicable losses.

Richman, E.E.; Keller, J.M.; Dittmer, A.L.; Hadley, D.L.

1994-01-01T23:59:59.000Z

412

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Puget Sound Energy Inc","Investor-Owned",20904907,10609011,9138486,1153642,3768 "2. Seattle City of","Public",9384736,3094576,5084754,1204764,642 "3. Bonneville Power...

413

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

PEPCO Energy Services","Other Provider",4523378,2999,4520379,"-","-" "5. The Potomac Edison Co","Investor-Owned",4383248,3303277,796849,283122,"-" "Total Sales, Top Five...

414

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Ohio" "1. First Energy Solutions Corp.","Other Provider",29606124,8135208,12599886,8846018,25012 "2. Ohio Power Co","Investor-Owned",26197992,7581485,5816681,12799826,"-" "3....

415

LBL-34044 UC-1600 RESIDENTIAL SECTOR END-USE FORECASTING WITH...  

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

primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast...

416

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Connecticut" "1. Connecticut Light & Power Co","Investor-Owned",9638612,7191790,2053659,273607,119556 "2. Constellation NewEnergy, Inc","Other Provider",3680529,"-",2516320,1164209...

417

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Florida" "1. Florida Power & Light Co","Investor-Owned",105003376,56583308,45194918,3143476,81674 "2. Progress Energy Florida Inc","Investor-Owned",38925066,20524060,15181662,32193...

418

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Michigan" "1. Detroit Edison Co","Investor-Owned",42490936,15726131,16565482,10199323,"-" "2. Consumers Energy Co","Investor-Owned",33290120,12968152,11260844,9061124,"-" "3....

419

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Electric & Power Co","Investor-Owned",81225989,32538497,39986322,8512201,188969 "5. Duke Energy Carolinas, LLC","Investor-Owned",79553460,30374862,28431959,20739589,7050...

420

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

South Carolina Electric&Gas Co","Investor-Owned",22921978,8790593,8268383,5863002,"-" "2. Duke Energy Carolinas, LLC","Investor-Owned",21703078,7285181,5947110,8470787,"-" "3....

Note: This page contains sample records for the topic "detailed energy end-use" 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

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

tor-Owned",9680088,1063589,1522713,7093786,"-" "2. Powder River Energy Corporation","Cooperative",2927689,214210,1161208,1552271,"-" "3. Cheyenne Light Fuel & Power...

422

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Power Co","Investor-Owned",2085395,566573,1020138,498684,"-" "4. Connexus Energy","Cooperative",1961569,1169218,714619,77732,"-" "5. Dakota Electric Association","Cooperative",18...

423

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Power","Investor-Owned",4450617,3054492,1065773,330352,"-" "2. Delaware Electric Cooperative","Cooperative",1262460,1033025,229435,"-","-" "3. Constellation NewEnergy,...

424

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

425

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

may not sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-871A of the 2003 Commercial Buildings Energy Consumption Survey....

426

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F11. Delivered energy consumption in Russia by end-use sector and fuel,...

427

International Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F7. Delivered energy consumption in Japan by end-use sector and fuel,...

428

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

E-Print Network (OSTI)

A functional analysis of electrical load curve modelling for some households specific electricity and the way electrical devices are used will evolve significantly. The energy consumption is likely of electrical devices; · integration of decentralized energy production and stocking (PV modules with battery

Paris-Sud XI, Université de

429

Coordinated Early Deployments of Efficient End-Use Technologies: Phase 1 Final Report  

Science Conference Proceedings (OSTI)

Many electric utilities in the U.S. are facing ever-increasing energy efficiency goals. While compact fluorescent lamps (CFLs) have produced a large share of many utility programs' energy savings, these technologies may no longer be allowed to count toward utility program goals because of the new standards for lighting efficiency set by the Energy Independence and Security Act of 2007. The change in CFL treatment is just one example of why utilities need a steady stream of new technologies for their ener...

2011-12-28T23:59:59.000Z

430

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

District of Columbia" District of Columbia" "1. Potomac Electric Power Co","Investor-Owned",3388490,2014044,1374446,"-","-" "2. Constellation NewEnergy, Inc","Other Provider",2427380,"-",2369901,12091,45388 "3. PEPCO Energy Services","Other Provider",2099946,1012,2098934,"-","-" "4. Washington Gas Energy Services","Other Provider",1759773,39513,1720260,"-","-" "5. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",801256,"-",536225,265031,"-" "Total Sales, Top Five Providers",,10476845,2054569,8099766,277122,45388 "Percent of Total State Sales",,88,97,88,100,14

431

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Maine" Maine" "1. NextEra Energy Power Marketing LLC","Other Provider",3876276,3548267,316308,11701,"-" "2. Dominion Retail Inc","Other Provider",1308742,"-",1308742,"-","-" "3. Constellation NewEnergy, Inc","Other Provider",987998,"-",704002,283996,"-" "4. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",593324,"-",593324,"-","-" "5. Suez Energy Resources North America","Other Provider",483466,"-",483466,"-","-" "Total Sales, Top Five Providers",,7249806,3548267,3405842,295697,"-" "Percent of Total State Sales",,63,81,83,10

432

Cooperative field test program for wind energy systems: Effects of precipitation on wind turbine performance. Detailed test plan and quality assurance plan  

SciTech Connect

The purpose of this research is to examine the effect of precipitation on wind turbine performance. This study will be conducted at the Whisky Run windfarm on the southern Oregon coast. Precipitation has been shown to cause significant degradation in the performance of the MOD-O wind turbine by Corrigan and DeMiglio (1985), who found performance reductions of up to 20% for light rainfall, 30% for moderate rainfall and 36% for snow and drizzle. There are several penalties due to rainfall, but it appears that most of the performance degradation is due to rain induced roughness. The Whisky Run windfarm receives around 60 inches of rain per year most of which occurs from October through April. During the summer months drizzle is an occasional weather phenomena. Pacific Wind Energy (PWE) and Pacific Power and Light (PP&L) propose to examine the effect of precipitation on wind turbine performance. The Whisky Run windfarm is unique among windfarms because the power sales contract is set up such that the wind farm is considered a research project and the participants have agreed to engage in research that will benefit the industry. PP&L will be providing all of the instrumentation except for the recording rate of rain gage. PWE will be performing the analysis of the data and project management.

Not Available

1986-01-06T23:59:59.000Z

433

Table E1. Major Fuel Consumption (Btu) by End Use for Non ...  

U.S. Energy Information Administration (EIA)

HVAC Maintenance ..... 792 29 106 105 13 302 6 83 17 40 91 Energy Management and Control System (EMCS) ..... 280 9 42 47 4 108 1 12 8 18 32 Window and ...

434

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

Indiana" "1. Duke Energy Indiana Inc","Investor-Owned",28258839,9627037,8531725,10100077,"-" "2. Northern Indiana Pub Serv Co","Investor-Owned",16190907,3625579,4086569,8459042,197...

435

Table 3. Top Five Retailers of Electricity, with End Use Sectors...  

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

City City of","Public",2315087,599499,950118,765470,"-" "5. Midwest Energy Inc","Cooperative",1366402,327961,371567,666874,"-" "Total Sales, Top Five Providers",,30303079,10868...

436

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Massachusetts" Massachusetts" "1. Massachusetts Electric Co","Investor-Owned",12522051,8884116,3167592,470343,"-" "2. NSTAR Electric Company","Investor-Owned",8946038,5484797,2382635,1078606,"-" "3. Constellation NewEnergy, Inc","Other Provider",4767773,"-",3478609,1289164,"-" "4. Strategic Energy LLC","Other Provider",3708146,"-",3708146,"-","-" "5. Consolidated Edison Sol Inc","Other Provider",2891778,1290581,1601197,"-","-" "Total Sales, Top Five Providers",,32835786,15659494,14338179,2838113,"-" "Percent of Total State Sales",,57,73,79,17

437

,"U.S. Total Adjusted Distillate Fuel Oil and Kerosene Sales by End Use"  

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

Distillate Fuel Oil and Kerosene Sales by End Use" Distillate Fuel Oil and Kerosene Sales by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Residential",4,"Annual",2012,"6/30/1984" ,"Data 2","Commercial",10,"Annual",2012,"6/30/1984" ,"Data 3","Industrial",9,"Annual",2012,"6/30/1984" ,"Data 4","Farm",4,"Annual",2012,"6/30/1984" ,"Data 5","Electric Power",2,"Annual",2012,"6/30/1984" ,"Data 6","Oil Company",2,"Annual",2012,"6/30/1984"

438

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image No 150 DPI Version 300 DPI Image. Title: Ultrafast Laser Speeds Up Quest for Atomic Control. ...

439

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. 72 DPI Image 150 DPI Image No 300 DPI Version. Title: House; Trees. Description: *BFRL. Subjects (names): ...

440

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Image Gallery : Image Details. No 72 DPI Version No 150 DPI Version 300 DPI Image. Title: Gold Nano Anchors Put Nanowires in Their Place. ...

Note: This page contains sample records for the topic "detailed energy end-use" 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

Hawaii energy strategy project 2: Fossil energy review. Task 2: Fossil energy in Hawaii  

Science Conference Proceedings (OSTI)

In Task 2, the authors establish a baseline for evaluating energy use in Hawaii, and examine key energy and economic indicators. They provide a detailed look at fossil energy imports by type, current and possible sources of oil, gas and coal, quality considerations, and processing/transformation. They present time series data on petroleum product consumption by end-use sector, though they caution the reader that the data is imperfect. They discuss fuel substitutability to identify those end-use categories that are most easily switched to other fuels. They then define and analyze sequential scenarios of fuel substitution in Hawaii and their impacts on patterns of demand. They also discuss energy security--what it means to Hawaii, what it means to neighboring economies, whether it is possible to achieve energy security. 95 figs., 48 tabs.

Breazeale, K. [ed.; Yamaguchi, N.D.; Keeville, H. [and others

1993-12-01T23:59:59.000Z

442

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... BFRL, solar energy, alternative energy, renewable energy, solar roof tiles, solar roof shingles See also http://www.nist.gov/public_affairs/techbeat ...

443

International Energy Outlook 2013  

Annual Energy Outlook 2012 (EIA)

1 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F17. Delivered energy...

444

Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2010  

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

Rhode Island" Rhode Island" "1. The Narragansett Electric Co","Investor-Owned",5287440,3068731,1938910,279799,"-" "2. Constellation NewEnergy, Inc","Other Provider",594900,"-",387627,191168,16105 "3. TransCanada Power Mktg Ltd","Other Provider",501659,"-","-",501659,"-" "4. Hess Retail Natural Gas and Elec. Acctg.","Other Provider",389583,"-",116875,272708,"-" "5. Glacial Energy Holdings","Other Provider",283973,"-",283973,"-","-" "Total Sales, Top Five Providers",,7057555,3068731,2727385,1245334,16105 "Percent of Total State Sales",,90,98,74,100,59

445

Historical Renewable Energy Consumption by Energy Use Sector...  

Open Energy Info (EERE)

Historical Renewable Energy Consumption by Energy Use Sector and Energy Source, 1989-2008 Provides annual renewable energy consumption by source and end use between 1989 and 2008....

446

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

T T he NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS 25 data.

447

Assumptions to the Annual Energy Outlook 2002 - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The distinction between the two sets of manufacturing industries pertains to the level of modeling. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 19). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated

448

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

449

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... BFRL, energy efficiency, energy conservation, commercial chillers, refrigerant, lubricant See also http://www.nist.gov/public_affairs/techbeat ...

450

Rating the energy performance of buildings  

E-Print Network (OSTI)

and includes different energy audit results. In Montreal,from energy end use measurement, walk-through and audits in

Olofsson, Thomas; Meier, Alan; Lamberts, Roberto

2004-01-01T23:59:59.000Z

451

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

U.S. Energy Information Administration (EIA)

Includes hydropower, solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium. ... Major Energy Source; Space-Heating End Use; Air-Conditioning End Use;

452

Refining and end use study of coal liquids. Quarterly report, October--December 1996  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellog Co. as subcontractors, initiated a study on November 1, 1993 for the US Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. The work has been divided into two parts, the Basic Program and Option 1. The objectives of the Basic Program are to characterize the coal liquids, develop an optimized refinery configuration for processing indirect and direct coal liquids, and develop a LP refinery model with the Process Industry Modeling System (PIMS) software. The objectives of Option 1 are to confirm the validity of the optimization work of the Basic Program, produce large quantities of liquid transportation fuel blending stocks, conduct engine emission tests, and determine the value and the processing costs of the coal liquids. The major efforts during the reporting period, October through December 1996, were in the areas of Option 1 blending and Option 1 FCC production run.

NONE

1996-12-31T23:59:59.000Z

453

Refining and end use study of coal liquids. Quarterly report, April--June 1996  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the U.S. Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. This 47-month study, with an approved budget of $4.4 million dollars, is being performed under DOE Contract Number DE-AC22-93PC91029. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards.

NONE

1997-12-31T23:59:59.000Z

454

Residential Energy Consumption and Expenditures -- Detailed Tables ...  

U.S. Energy Information Administration (EIA)

Categories of Data in the Table Rows. The row categories classify data by specific features of the households. The following, listed in alphabetical order, are ...

455

Progress Details 1. 1 Renewable Energy Technologies  

E-Print Network (OSTI)

it without permission. 9-59 9-80E An ideal Stirling engine with air as the working fluid is consideredRT P 9-81 An ideal Stirling engine with air as the working fluid operates between specified pressure

Guo, Zaoyang

456

recs revision details - Energy Information Administration  

U.S. Energy Information Administration (EIA)

For 1978, Treat Natural Gas Air-Conditioning as Electric-Air Conditioning. In December 2000, the following was ...

457

2005 RECS Detailed tables - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Climate Zone (HC9.5) XLS. PDF. Census Regions (HC10.5) XLS. PDF. Northeast Census Divisions (HC11.5) XLS. PDF. Midwest Census Divisions (HC12.5) XLS. PDF ...

458

Detailed Renewable Energy Resource Assessment Data Inventory...  

Open Energy Info (EERE)

(national, regional, and site specific). Assessments are available for biomass and hydropower resources at a national level, with only limited information available at the...

459

Residential Energy Consumption and Expenditures -- Detailed Tables...  

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

in suburban areas fell between 5.85 and 6.21 per million Btu. If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

460

Residential Energy Consumption and Expenditures -- Detailed Tables...  

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

gas estimates, the difference is statistically significant. If you are having any technical problems with this site, please contact the EIA Webmaster at wmaster@eia.doe.gov...

Note: This page contains sample records for the topic "detailed energy end-use" 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

Refining and end use of coal liquids. Quarterly report, January--March 1994  

Science Conference Proceedings (OSTI)

A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An intregral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed. To enhance management of the study, the work has been divided into two parts, the Basic Program and Option 1. The objectives of the Basic Program are to: characterize the coal liquids; develop, an optimized refinery configuration for processing indirect and direct coal liquids; and develop a LP refinery model with the Process Industry Modeling System (PICS) software. The objectives of Option 1 are to: confirm the validity of the optimization work of the Basic Program; produce large quantities of liquid transportation fuel blending stocks; conduct engine emission tests; and determine the value and the processing costs of the coal liquids. The major efforts conducted during the first quarter of 1994 were in the areas of: subcontract preparation and negotiation; and linear programming modeling.

Not Available

1994-08-01T23:59:59.000Z

462

Refining and end use study of coal liquids. Quarterly report, October--December 1995  

Science Conference Proceedings (OSTI)

Bechtel, with South west research Institute, Amoco Oil R&D, and the M. W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the US Department of Energy`s Pittsburgh Energy Technology Center to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. To enhance management of the study, the work has been divided into two parts, the Basic Program and Option 1. The objectives of the Basic Program are to: characterize the coal liquids; develop an optimized refinery configuration for processing indirect and direct coal liquids; and develop a LP refinery model with Process Industry Modeling System software. The objective of Option 1 are to: confirm the validity of the optimization work of the Basic Program; produce large quantities of liquid transportation fuel blending stocks; conduct engine emission tests; and determine the value and the processing costs of the coal liquids. The major effort conducted during the fourth quarter of 1995 were in the areas of: IL catalytic cracking--microactivity tests were conducted on various wax blends; IL wax hydrocracking--a pilot plant run was conducted on a wax/petroleum blend; and DL2 characterization and fractionation.

NONE

1995-12-31T23:59:59.000Z

463

Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand  

DOE Green Energy (OSTI)

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

2012-06-01T23:59:59.000Z

464

Research experiments detailed design review  

DOE Green Energy (OSTI)

The illustrations for the detailed design review of the heliostats for a solar thermal pilot plant are presented. Also included are the program schedule, meeting agenda, and component design features. (MHR)

Not Available

1976-01-01T23:59:59.000Z

465

Energy Flow Models for the Steel Industry  

E-Print Network (OSTI)

Energy patterns in the U. S. steel industry are examined using several models. First is an end-use model based on data in the 1994 Manufacturing Energy Consumption Survey (MECS). Then a seven-step process model is presented and material flow through each step is calibrated against Commerce Dept. data. Third, a detailed energy flow model is presented for coke ovens and blast furnaces, two very energy-intensive steps in our seven step model of steelmaking. This process-step model is calibrated against both our energy end use and material flow models. These models can serve as the base case for simulating changes in energy utilization and waste streams for steelmaking spurred by economic or regulatory conditions or technology innovations.

Hyman, B.; Andersen, J. P.

1998-04-01T23:59:59.000Z

466

Refining and end use study of coal liquids. Second quarter 1995 technical progress report, April--June 1995  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the U.S. Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. This 47-month study, with an approved budget of $4.4 million dollars, is being performed under DOE Contract Number DE-AC22-93PC91029. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products.

NONE

1995-12-01T23:59:59.000Z

467

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... systems and other framed PV roof modules systems will be used to validate or improve energy prediction models. *BFRL, solar energy, alternative ...

468

MetTrans Editorial Details  

Science Conference Proceedings (OSTI)

It spans the entire energy spectrum, from production and generation to transmission to energy storage and conversion. Coverage emphasizes the connection...

469

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Description: These solid-state lights are powered by energy-efficient light emitting diodes ... expected to cut energy needed for lighting by 50 ...

470

Appendix D-1 D-1.1 Buildings Appendix D-1: Detailed results  

E-Print Network (OSTI)

was published, including detailed breakdowns of the residential and commercial miscellaneous end-uses, explicit and cooling, residential water heating, commercial heating and cooling, commercial ventilation, commercial lighting, and commercial water heating. #12;Appendix D-1 D-1.3 Buildings economic potential with respect

471

International Energy Annual 2001 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Office of Energy Markets and End Use U.S. Department of Energy ... Coal includes anthracite, subanthracite, bituminous, subbituminous, lignite, and brown coal.

472

Demand Response-Ready End-Use Devices: Guiding Principles for Defining Criteria to Support Grid Needs  

Science Conference Proceedings (OSTI)

This report describes technology capabilities that support more automated and ubiquitous demand response. It reviews the Demand ResponseReady (DR-Ready) concept and related industry activities that support realization of the concept. In the DR-Ready vision, consumers receive DR-Ready end-use products at the point of purchase, thus eliminating the need for utility truck service visits to retrofit equipment, and thereby significantly reducing the cost of deploying DR-enabling ...

2013-12-21T23:59:59.000Z

473

Level-of-Detail Shaders  

E-Print Network (OSTI)

Current graphics hardware can render objects using simple procedural shaders in real-time. However, detailed, highquality shaders will continue to stress the resources of hardware for some time to come. Shaders written for film production and software renderers may stretch to thousands of lines. The difficulty of rendering efficiently is compounded when there is not just one, but a scene full of shaded objects, surpassing the capability of any hardware to render. This problem has many similarities to the rendering of large models, a problem that has inspired extensive research in geometric level-of-detail and geometric simplification. We introduce an analogous process for shading, shader simplification. Starting from an initial detailed shader, shader simplification produces a new shader with extra level-of-detail parameters that control the shader execution. The resulting level-of-detail shader, can automatically adjust its rendered appearance based on measures of distance, size, or importance as well as physical limits such as rendering time budget or texture usage.

Marc Olano; Bob Kuehne

2003-01-01T23:59:59.000Z

474

The quality of the ELCAP (End-Use Load and Consumer Assessment Program) engineering data set: Background issues  

SciTech Connect

The Bonneville Power Administration (Bonneville) began the End-Use Load and Consumer Assessment Program (ELCAP) in 1983. Prior to beginning ELCAP, there was an abundance of information regarding total power consumption for residential structures in the Pacific Northwest, through billing records for example, and limited information regarding power consumption by various end uses (such as hot water, heating and cooling). This program, conducted for Bonneville by the Pacific Northwest Laboratory, involves collecting and analyzing hourly end-use data in commercial and residential buildings in the Pacific Northwest. The purpose of this document is to provide background information to analyses that may use ELCAP data. In general, the ELCAP data set is extremely high in quality, but analysts should be aware of potential problems that could exist with a data set of this size. This report describes the quality of the ELCAP data and emphasizes the guidelines for data review along with limitations and suggestions regarding engineering and characteristics data including missing data values, procedures for time-stamp assignments, and incomplete integration periods. 3 figs.

Crowder, R.S. III; Miller, N.E.

1990-06-01T23:59:59.000Z

475

Geothermal Technologies Office: Financial Opps Details NewsDetail  

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

and Renewable Energy EERE Home | Programs & Offices | Consumer Information Geothermal Technologies Office Search Search Help Geothermal Technologies Office HOME ABOUT...

476

Refining and end use study of coal liquids. Sixth quarterly technical progress report, December 19, 1994--March 26, 1995  

Science Conference Proceedings (OSTI)

Bechtel, with Southwest Research Institute, Amoco Oil R&D, and the M.W. Kellogg Co. as subcontractors, initiated a study on November 1, 1993, for the U.S. Department of Energy`s (DOE`s) Pittsburgh Energy Technology Center (PETC) to determine the most cost effective and suitable combination of existing petroleum refinery processes needed to make specification transportation fuels or blending stocks, from direct and indirect coal liquefaction product liquids. This 47-month study, with an approved budget of $4.4 million dollars, is being performed under DOE Contract Number DE-AC22-93PC91029. A key objective is to determine the most desirable ways of integrating coal liquefaction liquids into existing petroleum refineries to produce transportation fuels meeting current and future, e.g. year 2000, Clean Air Act Amendment (CAAA) standards. An integral part of the above objectives is to test the fuels or blends produced and compare them with established ASTM fuels. The comparison will include engine tests to ascertain compliance of the fuels produced with CAAA and other applicable fuel quality and performance standards. The final part of the project includes a detailed economic evaluation of the cost of processing the coal liquids to their optimum products. The cost analyses is for the incremental processing cost; in other words, the feed is priced at zero dollars. The study reflects costs for operations using state of the art refinery technology; no capital costs for building new refineries is considered. Some modifications to the existing refinery may be required. Economy of scale dictates the minimum amount of feedstock that should be processed.

NONE

1995-08-01T23:59:59.000Z

477

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... 72 DPI Image 150 DPI Image 300 DPI Image . Title: Energy; Fossil Fuels;Distillation Curves for Complex Fuel Mixtures. ...

478

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Title: Net-Zero House. Description: Net-Zero Energy house: Building Science Corporation *EL. Subjects (names): Topics/Categories: ...

479

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Title: Net-Zero House. Description: LR: Former NIST Director Arden Bement; US Department of Energy Acting Assistant ...

480

Housing Characteristics 1993 - Detailed Tables  

U.S. Energy Information Administration (EIA)

Household Characteristics by Census Region and Climate Zone, Million U.S. Households, 1993 Source: Energy Information Administration, ...

Note: This page contains sample records for the topic "detailed energy end-use" 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

Developing Information on Energy Savings and Associated Costs and Benefits of Energy Efficient Emerging Technologies Applicable in California  

E-Print Network (OSTI)

on energy efficiency, energy savings, market adoption, andIndustries End-use(s) Energy types Market segment 2015Industries End-use(s) Energy types Market segment 2015

Xu, Tengfang

2011-01-01T23:59:59.000Z

482

Household Vehicles Energy Consumption 1991  

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

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

483

Energy Efficiency Indicators Methodology Booklet  

E-Print Network (OSTI)

obtained by national energy consumption surveys. Energyat the national level. Hence, end use energy consumption isconsumption of biomass. The integration of biomass into national energy

Sathaye, Jayant

2010-01-01T23:59:59.000Z

484

Household Energy Consumption and Expenditures  

Reports and Publications (EIA)

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

Information Center

2008-09-01T23:59:59.000Z

485

California Industrial Energy Efficiency Potential  

E-Print Network (OSTI)

Prepared for the California Energy Commission. December. [and F. Coito). 2002. California's Secret Energy Surplus; Theby key end use. Figure 1. California Energy Consumption by

Coito, Fred; Worrell, Ernst; Price, Lynn; Masanet, Eric; Rafael Friedmann; Rufo, Mike

2005-01-01T23:59:59.000Z

486

Advanced Manufacturing Office: NewsDetail  

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

Office: NewsDetail on Twitter Bookmark Advanced Manufacturing Office: NewsDetail on Google Bookmark Advanced Manufacturing Office: NewsDetail on Delicious Rank Advanced...

487

Building Technologies Office: Buildings NewsDetail  

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

NewsDetail on Twitter Bookmark Building Technologies Office: Buildings NewsDetail on Google Bookmark Building Technologies Office: Buildings NewsDetail on Delicious Rank Building...

488

Building Technologies Office: NewsDetail  

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

Office: NewsDetail on Twitter Bookmark Building Technologies Office: NewsDetail on Google Bookmark Building Technologies Office: NewsDetail on Delicious Rank Building...

489

EERE Postdoctoral Research Awards: NewsDetail  

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

NewsDetail on Twitter Bookmark EERE Postdoctoral Research Awards: NewsDetail on Google Bookmark EERE Postdoctoral Research Awards: NewsDetail on Delicious Rank EERE...

490

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS27 data.

491

New Details of Ferroelectric Switching  

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

New Details of Ferroelectric Switching New Details of Ferroelectric Switching All of our current information technology relies on devices that process information as binary ones and zeroes. Ferroelectric materials are of special interest to developers of the next generation of such devices because they exhibit polarized electronic states that can represent bits of information. Moreover, these materials retain their polarization states without consuming electrical power, making ferroelectrics the subject of intense study for nonvolatile memory applications in which data is stored even when the power is turned off. One problem, however, is polarization fatigue: after a number of cycles, the switchable polarization begins to taper off, rendering the device unusable. Recently, a team of researchers

492

" Row: End Uses;"  

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

" Conventional Boiler Use",3199,12,4,1271,2,11,5.6 " CHP andor Cogeneration Process",3515,8,2,834,"*",23,3.8 "Direct Uses-Total Process",768929,10,7,2907,16,17...

493

" Row: End Uses;"  

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

Fuel",12979,7,3,2074,3,26 " Conventional Boiler Use",12979,3,1,712,1,3 " CHP andor Cogeneration Process","--",4,3,1362,2,23 "Direct Uses-Total Process",675152,4,9,2549,7,13 "...

494

" Row: End Uses;"  

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

l",84,133,23,2119,8,547 " Conventional Boiler Use",84,71,17,1281,8,129 " CHP andor Cogeneration Process",0,62,6,838,1,417 "Direct Uses-Total Process",2639,62,52,2788,39,412 "...

495

Residential Energy Consumption Survey (RECS) - Analysis & Projections -  

Gasoline and Diesel Fuel Update (EIA)

EIA household energy use data now includes detail on 16 States EIA household energy use data now includes detail on 16 States RECS 2009 - Release date: March 28, 2011 EIA is releasing new benchmark estimates for home energy use for the year 2009 that include detailed data for 16 States, 12 more than in past EIA residential energy surveys. EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census Regions and nine Divisions. In 1997, EIA produced additional tabulations for the four most populous States (California, New York, Texas, and Florida). A threefold increase in the number of households included in the 2009 RECS offers more accuracy and coverage for understanding energy usage for all estimated States, Regions and Divisions.

496

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... In all units tested, electric heaters used to free ice from molds accounted for about three-quarters of ice-maker energy consumption. *EL. ...

497

NIST Image Gallery: Image Details  

Science Conference Proceedings (OSTI)

... Title: Energy; Biofuels; Distillation curve. Description: Candid portrait of Thomas Bruno using GC-MS on biofuel sample: NIST chemist Tom Bruno ...

498

Improved engineering-economic model of residential energy use. [1970-2000  

SciTech Connect

An improved version of the ORNL residential energy use model was developed to simulate energy use in the residential sector from 1970 through 2000. The model provides considerable detail on annual energy uses by fuel, end use, and housing type; and also estimates annual equipment installations and ownership, equipment energy requirements, structural thermal integrities, fuel expenditures, equipment costs, and costs for improving thermal integrities on new and existing housing units. Thus, the model provides considerable detail on residential energy uses and associated costs. These details are useful for evaluating alternative energy conservation policies, programs, and technologies for their energy and economic effects during the next quarter century. The present version of the model deals with four fuels, eight end uses, and three housing types. Each of these 96 fuel use components is calculated each year as a function of stocks of occupied housing units and new construction, equipment ownership by fuel and end use, thermal integrity of housing units, average unit energy requirements for each equipment type, and usage factors that reflect household behavior. Simulations of energy use from 1960 to 1975 show that the model accurately predicts historical data on aggregate energy use, energy use by fuel, energy use by end use, and equipment ownership market-shares. A reference projection developed with the model shows residential energy use growing from 17.5 GGJ (10/sup 18/ joules) in 1975 to 18.5 GGJ in 1980 and 26.6 GGJ in 2000, with an average annual growth rate of 1.7 percent. Electricity increases its share of the energy budget from 44 percent in 1975 to 67 percent in 2000. Shares provided by gas, oil, and other fuels all decline during this period.

Hirst, E.; Cope, J.; Cohn, S.; Lin, W.; Hoskins, R.

1977-04-01T23:59:59.000Z

499

ENERGY ANALYSIS PROGRAM. CHAPTER FROM THE ENERGY AND ENVIRONMENT DIVISION ANNUAL REPORT 1978  

E-Print Network (OSTI)

Municipal Solid Waste (MSW) energy recovery, andrecovery and energy generation from waste, End Use EnergyMunicipal Solid Waste Three MSW energy recovery systems were

Various, Various,

2011-01-01T23:59:59.000Z

500

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

Analysis: Studies in Residential Energy Demand. AcademicHousing Characteristics 1987, Residential Energy ConsumptionHousing Characteristics 1990, Residential Energy Consumption

Johnson, F.X.

2010-01-01T23:59:59.000Z