National Library of Energy BETA

Sample records for bottom-up energy end-use

  1. Bottom-Up Energy Analysis System (BUENAS) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Baseline projection, - Macroeconomic, Pathways analysis Resource Type:...

  2. Bottom-Up Energy Analysis System - Methodology and Results

    SciTech Connect

    McNeil, Michael A.; Letschert, Virginie E.; Stephane, de la Rue du Can; Ke, Jing

    2012-06-15

    The main objective of the development of BUENAS is to provide a global model with sufficient detail and accuracy for technical assessment of policy measures such as energy efficiency standards and labeling (EES&L) programs. In most countries where energy efficiency policies exist, the initial emphasis is on household appliances and lighting. Often, equipment used in commercial buildings, particularly heating, air conditioning and ventilation (HVAC) is also covered by EES&L programs. In the industrial sector, standards and labeling generally covers electric motors and distribution transformers, although a few more types of industrial equipment are covered by some programs, and there is a trend toward including more of them. In order to make a comprehensive estimate of the total potential impacts, development of the model prioritized coverage of as many end uses commonly targeted by EES&L programs as possible, for as many countries as possible.

  3. Bottom-Up Cost Analysis of a High Concentration PV Module; NREL (National Renewable Energy Laboratory)

    SciTech Connect

    Horowitz, K.; Woodhouse, M.; Lee, H.; Smestad, G.

    2015-04-13

    We present a bottom-up model of III-V multi-junction cells, as well as a high concentration PV (HCPV) module. We calculate $0.65/Wp(DC) manufacturing costs for our model HCPV module design with today’s capabilities, and find that reducing cell costs and increasing module efficiency offer the promising pathways for future cost reductions. Cell costs could be significantly reduced via an increase in manufacturing scale, substrate reuse, and improved manufacturing yields. We also identify several other significant drivers of HCPV module costs, including the Fresnel lens primary optic, module housing, thermal management, and the receiver board. These costs could potentially be lowered by employing innovative module designs.

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

    Energy Information Administration (EIA) (indexed site)

    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:...

  5. Assessment of Historic Trend in Mobility and Energy Use in India Transportation Sector Using Bottom-up Approach

    SciTech Connect

    Zhou, Nan; McNeil, Michael A.

    2009-05-01

    Transportation mobility in India has increased significantly in the past decades. From 1970 to 2000, motorized mobility (passenger-km) has risen by 888%, compared with an 88% population growth (Singh,2006). This contributed to many energy and environmental issues, and an energy strategy incorporates efficiency improvement and other measures needs to be designed. Unfortunately, existing energy data do not provide information on driving forces behind energy use and sometime show large inconsistencies. Many previous studies address only a single transportation mode such as passenger road travel; did not include comprehensive data collection or analysis has yet been done, or lack detail on energy demand by each mode and fuel mix. The current study will fill a considerable gap in current efforts, develop a data base on all transport modes including passenger air and water, and freight in order to facilitate the development of energy scenarios and assess significance of technology potential in a global climate change model. An extensive literature review and data collection has been done to establish the database with breakdown of mobility, intensity, distance, and fuel mix of all transportation modes. Energy consumption was estimated and compared with aggregated transport consumption reported in IEA India transportation energy data. Different scenarios were estimated based on different assumptions on freight road mobility. Based on the bottom-up analysis, we estimated that the energy consumption from 1990 to 2000 increased at an annual growth rate of 7% for the mid-range road freight growth case and 12% for the high road freight growth case corresponding to the scenarios in mobility, while the IEA data only shows a 1.7% growth rate in those years.

  6. India Energy Outlook: End Use Demand in India to 2020

    SciTech Connect

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

    2009-03-30

    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.

  7. Healthcare Energy End-Use Monitoring

    SciTech Connect

    Sheppy, M.; Pless, S.; Kung, F.

    2014-08-01

    NREL partnered with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, including preheat, heating, and reheat; humidification; service water heating; cooling; fans; pumps; lighting; and select plug and process loads. Additional data from medical office buildings were provided for an analysis focused on plug loads. Facility managers, energy managers, and engineers in the healthcare sector will be able to use these results to more effectively prioritize and refine the scope of investments in new metering and energy audits.

  8. Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Cement Sector

    SciTech Connect

    Sathaye, J.; Xu, T.; Galitsky, C.

    2010-08-15

    Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. How to effectively analyze and manage the costs associated with GHG reductions becomes extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models.

  9. Healthcare Energy End-Use Monitoring | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Healthcare Energy End-Use Monitoring Healthcare Energy End-Use Monitoring NREL partnered with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, including preheat, heating, and reheat; humidification; service water heating; cooling; fans; pumps; lighting; and select plug and process loads. Additional data from medical office buildings were provided for an analysis focused on plug loads. Facility managers, energy managers,

  10. Energy End-Use Intensities in Commercial Buildings

    Energy Information Administration (EIA) (indexed site)

    Estimates The end-use estimates had two main sources: the 1989 Commercial Buildings Energy Consumption Survey (CBECS) and the Facility Energy Decision Screening (FEDS) system....

  11. Energy End-Use Intensities in Commercial Buildings 1989

    Energy Information Administration (EIA) (indexed site)

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

  12. Level: National and Regional Data; Row: End Uses; Column: Energy...

    Gasoline and Diesel Fuel Update

    Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. ... from noncombustible renewable resources, minus quantities sold and transferred out. ...

  13. Level: National and Regional Data; Row: End Uses; Column: Energy...

    Gasoline and Diesel Fuel Update

    Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. ... from noncombustible renewable resources, minus quantities sold and transferred out. ...

  14. Residential Lighting End-Use Consumption | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Information Resources » Publications » Market Studies » Residential Lighting End-Use Consumption Residential Lighting End-Use Consumption The U.S. DOE Residential 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 framework allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3)

  15. Energy end-use intensities in commercial buildings

    SciTech Connect

    Not Available

    1994-09-01

    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.

  16. Distribution Infrastructure and End Use | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Research & Development » Demonstration & Market Transformation » Distribution Infrastructure and End Use Distribution Infrastructure and End Use The expanded Renewable Fuel Standard (RFS2) created under the Energy Independence and Security Act (EISA) of 2007 requires 36 billion gallons of biofuels to be blended into transportation fuel by 2022. Meeting the RFS2 target introduces new challenges for U.S. infrastructure, as modifications will be needed to transport and deliver renewable

  17. United States Industrial Sector Energy End Use Analysis

    SciTech Connect

    Shehabi, Arman; Morrow, William R.; Masanet, Eric

    2012-05-11

    The United States Department of Energy’s (DOE) Energy Information Administration (EIA) conducts the Manufacturing Energy Consumption Survey (MECS) to provide detailed data on energy consumption in the manufacturing sector. The survey is a sample of approximately 15,000 manufacturing establishments selected from the Economic Census - Manufacturing Sector. MECS provides statistics on the consumption of energy by end uses (e.g., boilers, process, electric drives, etc.) disaggregated by North American Industry Classification System (NAICS) categories. The manufacturing sector (NAICS Sector 31-33) consists of all manufacturing establishments in the 50 States and the District of Columbia. According to the NAICS, the manufacturing sector comprises establishments engaged in the mechanical, physical, or chemical transformation of materials, substances, or components into new products. The establishments are physical facilities such as plants, factories, or mills. For many of the sectors in the MECS datasets, information is missing because the reported energy use is less than 0.5 units or BTUs, or is withheld to avoid disclosing data for individual establishments, or is withheld because the standard error is greater than 50%. We infer what the missing information likely are using several approximations techniques. First, much of the missing data can be easily calculated by adding or subtracting other values reported by MECS. If this is not possible (e.g. two data are missing), we look at historic MECS reports to help identify the breakdown of energy use in the past and assume it remained the same for the current MECS. Lastly, if historic data is also missing, we assume that 3 digit NAICS classifications predict energy use in their 4, 5, or 6 digit NAICS sub-classifications, or vice versa. Along with addressing data gaps, end use energy is disaggregated beyond the specified MECS allocations using additional industry specific energy consumption data. The result is a

  18. Development of Bottom-up Representation of Industrial Energy Efficiency Technologies in Integrated Assessment Models for the Iron and Steel Sector

    SciTech Connect

    Xu, T.T.; Sathaye, J.; Galitsky, C.

    2010-09-30

    Adoption of efficient end-use technologies is one of the key measures for reducing greenhouse gas (GHG) emissions. With the working of energy programs and policies on carbon regulation, how to effectively analyze and manage the costs associated with GHG reductions become extremely important for the industry and policy makers around the world. Energy-climate (EC) models are often used for analyzing the costs of reducing GHG emissions (e.g., carbon emission) for various emission-reduction measures, because an accurate estimation of these costs is critical for identifying and choosing optimal emission reduction measures, and for developing related policy options to accelerate market adoption and technology implementation. However, accuracies of assessing of GHG-emission reduction costs by taking into account the adoption of energy efficiency technologies will depend on how well these end-use technologies are represented in integrated assessment models (IAM) and other energy-climate models. In this report, we first conduct brief overview on different representations of end-use technologies (mitigation measures) in various energy-climate models, followed by problem statements, and a description of the basic concepts of quantifying the cost of conserved energy including integrating non-regrets options. A non-regrets option is defined as a GHG reduction option that is cost effective, without considering their additional benefits related to reducing GHG emissions. Based upon these, we develop information on costs of mitigation measures and technological change. These serve as the basis for collating the data on energy savings and costs for their future use in integrated assessment models. In addition to descriptions of the iron and steel making processes, and the mitigation measures identified in this study, the report includes tabulated databases on costs of measure implementation, energy savings, carbon-emission reduction, and lifetimes. The cost curve data on mitigation

  19. End-Use Working Group Report | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    End-Use Working Group Report End-Use Working Group Report The Oak Ridge Reservation End Use Working Group, a broadly-based voluntary citizens group, was formed in January 1997 to develop and evaluate guidelines and recommendations for future uses of contaminated areas following the Environmental Management program's remediation of the Oak Ridge Reservation. The purposes of this Final Report of the End Use Working Group are to: Document the history and purpose of the End Use Working Group Outline

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

    Energy Information Administration (EIA) (indexed site)

    End-Use Analyst Contact: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager URL: http:www.eia.govconsumptioncommercialdataarchivecbecscbec-eu1.html separater bar If...

  1. Energy End-Use Intensities in Commercial Buildings1992 -- Overview...

    Energy Information Administration (EIA) (indexed site)

    in the way that variables such as building age and employment density could interact with the engineering estimates of end-use consumption. The SAE equations were...

  2. Engineer End Uses for Maximum Efficiency | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    for Maximum Efficiency (August 2004) More Documents & Publications Maintaining System Air Quality Compressed Air Storage Strategies Alternative Strategies for Low Pressure End Uses

  3. Healthcare Energy: Using End-Use Data to Inform Decisions | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Using End-Use Data to Inform Decisions Healthcare Energy: Using End-Use Data to Inform Decisions The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. See below for ideas about how to use end-use data to inform decisions in your facility. The relative magnitude of the energy consumption of different end uses can be a starting point for prioritizing energy investments and action, whether the scope under

  4. End use energy consumption data base: transportation sector

    SciTech Connect

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

    1980-02-01

    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.

  5. Energy End-Use Intensities in Commercial Buildings

    Energy Information Administration (EIA) (indexed site)

    as buildings of the 1980's. In this section, intensities are based upon the entire building stock, not just those buildings using a particular fuel for a given end use. This...

  6. Level: National and Regional Data; Row: End Uses; Column: Energy...

    Annual Energy Outlook

    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 ...

  7. End-use Breakdown: The Building Energy Modeling Blog | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    End-use Breakdown: The Building Energy Modeling Blog End-use Breakdown: The Building Energy Modeling Blog RSS Welcome to the Building Technologies Office's Building Energy Modeling blog. October 5, 2016 Autodesk Insight360 allows architects to explore the energy impacts of different design choices as they design. Insight360 uses EnergyPlus to calculate heating and cooling loads and now provides the option of using EnergyPlus to evaluate annual energy impacts. Credit: Autodesk. Autodesk Upgrades

  8. Bottoms Up. [report on the Defense Department] (Journal Article...

    Office of Scientific and Technical Information (OSTI)

    Title: Bottoms Up. report on the Defense Department The open quotesBottoms Up ... Country of Publication: United States Language: English Subject: 45 MILITARY TECHNOLOGY, ...

  9. Energy End-Use Intensities in Commercial Buildings1995 -- Overview...

    Energy Information Administration (EIA) (indexed site)

    by the Commercial Buildings Energy Consumption Survey (CBECS) and (2) building energy simulations provided by the Facility Energy Decision Screening (FEDS) system. The...

  10. Energy End-Use Intensities in Commercial Buildings1995 -- Tables

    Energy Information Administration (EIA) (indexed site)

    model using survey data from the 1995 commercial buildings energy consumption survey and building energy simulations provided by the Facility Energy Decision Screening system....

  11. End-use Breakdown: The Building Energy Modeling Blog

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Modeling Blog en EnergyPlus Logo Debuts on Revit Toolbar http:energy.goveerebuildingsarticlesenergyplus-logo-debuts-revit-toolbar

  12. End-Use Sector Flowchart | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    to Industrial Energy Efficiency - Study (Appendix A), June 2015 LARGE INDUSTRIAL FACILITIES BY STATE Energy Use Loss and Opportunities Analysis: U.S. Manufacturing & Mining

  13. Energy End-Use Intensities in Commercial Buildings

    Energy Information Administration (EIA) (indexed site)

    Active Solar: As an energy source, energy from the sun collected and stored using mechanical pumps or fans to circulate heat-laden fluids or air between solar collectors and the...

  14. Energy End-Use Intensities in Commercial Buildings

    Energy Information Administration (EIA) (indexed site)

    2. Energy Use in Commercial Buildings The purpose of this section is to provide an overview of how energy was used in commercial buildings. Focusing on 1989 buildings, the section...

  15. Energy End-Use Intensities in Commercial Buildings

    Energy Information Administration (EIA) (indexed site)

    Intensities The purpose of this section is to provide information on how energy was used for space conditioning--heating, cooling, and ventilation--in commercial...

  16. Energy End-Use Intensities in Commercial Buildings 1989 data...

    Energy Information Administration (EIA) (indexed site)

    Buildings Energy Consumption Survey. Divider Bar To View andor Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties,...

  17. Energy End-Use Intensities in Commercial Buildings 1992

    Energy Information Administration (EIA) (indexed site)

    Energy Consumption Survey. divider line To View andor Print Reports (requires Adobe Acrobat Reader) - Download Adobe Acrobat Reader If you experience any difficulties,...

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

    Energy Information Administration (EIA) (indexed site)

    Price Estimates for Energy by End-Use Sector, 1970-2010 (Dollars 1 per Million Btu) Year Residential Commercial Industrial Transportation Natural Gas 2 Petroleum Retail Electricity ...

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

    Energy Information Administration (EIA) (indexed site)

    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

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

    Energy Information Administration (EIA) (indexed site)

    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" " ","

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

    Energy Information Administration (EIA) (indexed site)

    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" " ","

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

    Energy Information Administration (EIA) (indexed site)

    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" " ","

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

    Energy Information Administration (EIA) (indexed site)

    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" " ","

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

    Energy Information Administration (EIA) (indexed site)

    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" " ","

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

    Energy Information Administration (EIA) (indexed site)

    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" " ","

  6. Table B19. Energy End Uses, Number of Buildings and Floorspace, 1999

    Energy Information Administration (EIA) (indexed site)

    9. Energy End Uses, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,,"Total Floorspace (million square feet)" ,"All Buildings","Energy Used For (more than one may apply)",,,,,"All Buildings","Energy Used For (more than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manufact-uring",,"Space

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

    Energy Information Administration (EIA) (indexed site)

    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

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

    Energy Information Administration (EIA) (indexed site)

    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

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

    Energy Information Administration (EIA) (indexed site)

    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

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

    Reports and Publications

    2007-01-01

    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.

  11. Table 2.3 Manufacturing Energy Consumption for Heat, Power, and Electricity Generation by End Use, 2006

    Energy Information Administration (EIA) (indexed site)

    Manufacturing Energy Consumption for Heat, Power, and Electricity Generation by End Use, 2006 End-Use Category Net Electricity 1 Residual Fuel Oil Distillate Fuel Oil LPG 2 and NGL 3 Natural Gas Coal 4 Total 5 Million Kilowatthours Million Barrels Billion Cubic Feet Million Short Tons Indirect End Use (Boiler Fuel) 12,109 21 4 2 2,059 25 – – Conventional Boiler Use 12,109 11 3 2 1,245 6 – – CHP 6 and/or Cogeneration Process – – 10 1 (s) 814 19 – – Direct End Use All Process Uses 657,810

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

    SciTech Connect

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

    2007-11-27

    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

  13. Bottom-Up Energy Analysis System (BUENAS) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    can be done about it: The Potential of Efficiency in the Residential Sector Residential Electricity Demand in China -Can Efficiency Reverse the Growth? Best Available Technology...

  14. Federal Financial Interventions and Subsidies in Energy Markets 1999: Energy Transformation and End Use

    Reports and Publications

    2008-01-01

    his is the second report prepared in response to a two-part request from the Office of Policy, U.S. Department of Energy, to provide an estimate of U.S. Federal energy subsidies. In its request, the Office of Policy asked the Energy Information Administration (EIA) to update a 1992 EIA report on Federal energy subsidies, including any additions or deletions of Federal subsidies based on Administration and Congressional action since the 1992 report was written, and to provide an estimate of the size of each current subsidy.

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

    Energy Information Administration (EIA) (indexed site)

    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)

  16. Bottom-up graphene nanoribbon field-effect transistors

    SciTech Connect

    Bennett, Patrick B.; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720 ; Pedramrazi, Zahra; Madani, Ali; Chen, Yen-Chia; Crommie, Michael F.; Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720 ; Oteyza, Dimas G. de; Centro de Física de Materiales CSIC Chen, Chen; Fischer, Felix R.; Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720 ; Bokor, Jeffrey; Materials Sciences Division, Lawrence Berkeley National Laboratories, Berkeley, California 94720

    2013-12-16

    Recently developed processes have enabled bottom-up chemical synthesis of graphene nanoribbons (GNRs) with precise atomic structure. These GNRs are ideal candidates for electronic devices because of their uniformity, extremely narrow width below 1 nm, atomically perfect edge structure, and desirable electronic properties. Here, we demonstrate nano-scale chemically synthesized GNR field-effect transistors, made possible by development of a reliable layer transfer process. We observe strong environmental sensitivity and unique transport behavior characteristic of sub-1 nm width GNRs.

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

    SciTech Connect

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

    2006-06-01

    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.

  18. A bottom-up engineering estimate of the aggregate heating andcooling loads of the entire U.S. building stock

    SciTech Connect

    Huang, Yu Joe; Brodrick, Jim

    2000-08-01

    A recently completed project for the U.S. Department of Energy's (DOE) Office of Building Equipment combined DOE-2 results for a large set of prototypical commercial and residential buildings with data from the Energy Information Administration (EIA) residential and commercial energy consumption surveys (RECS, CBECS) to estimate the total heating and cooling loads in U.S. buildings attributable to different shell components such as windows, roofs, walls, etc., internal processes, and space-conditioning systems. This information is useful for estimating the national conservation potentials for DOE's research and market transformation activities in building energy efficiency. The prototypical building descriptions and DOE-2 input files were developed from 1986 to 1992 to provide benchmark hourly building loads for the Gas Research Institute (GRI) and include 112 single-family, 66 multi-family, and 481 commercial building prototypes. The DOE study consisted of two distinct tasks : (1) perform DOE-2 simulations for the prototypical buildings and develop methods to extract the heating and cooling loads attributable to the different building components; and (2) estimate the number of buildings or floor area represented by each prototypical building based on EIA survey information. These building stock data were then multiplied by the simulated component loads to derive aggregated totals by region, vintage, and building type. The heating and cooling energy consumption of the national building stock estimated by this bottom-up engineering approach was found to agree reasonably well with estimates from other sources, although significant differences were found for certain end-uses. The main added value from this study, however, is the insight it provides about the contributing factors behind this energy consumption, and what energy savings can be expected from efficiency improvements for different building components by region, vintage, and building type.

  19. Control Limits for Building Energy End Use Based on Engineering Judgment, Frequency Analysis, and Quantile Regression

    SciTech Connect

    Henze, G. P.; Pless, S.; Petersen, A.; Long, N.; Scambos, A. T.

    2014-02-01

    Approaches are needed to continuously characterize the energy performance of commercial buildings to allow for (1) timely response to excess energy use by building operators; and (2) building occupants to develop energy awareness and to actively engage in reducing energy use. Energy information systems, often involving graphical dashboards, are gaining popularity in presenting energy performance metrics to occupants and operators in a (near) real-time fashion. Such an energy information system, called Building Agent, has been developed at NREL and incorporates a dashboard for public display. Each building is, by virtue of its purpose, location, and construction, unique. Thus, assessing building energy performance is possible only in a relative sense, as comparison of absolute energy use out of context is not meaningful. In some cases, performance can be judged relative to average performance of comparable buildings. However, in cases of high-performance building designs, such as NREL's Research Support Facility (RSF) discussed in this report, relative performance is meaningful only when compared to historical performance of the facility or to a theoretical maximum performance of the facility as estimated through detailed building energy modeling.

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

    SciTech Connect

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

    2006-11-15

    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)

  1. Energy balances in the production and end-use of methanol derived from coal

    SciTech Connect

    1980-12-10

    Analysis is performed for three combinations of fuels, specifically: net petroleum gain (petroleum only); net premium fuel gain (natural gas and petroleum); and net energy gain (includes all fuels; does not include free energy from sun). The base case selected for evaluation was that of an energy-efficient coal-to-methanol plant located in Montana/Wyoming and using the Lurgi conversion process. The following variations of the base coal-methanol case are also analyzed: gasoline from coal with methanol as an intermediate step (Mobil-M); and methanol from coal (Texaco gasification process). For each process, computations are made for the product methanol as a replacement for unleaded gasoline in a conventional spark ignition engine and as a chemical feedstock. For the purpose of the energy analysis, computations are made for three situations regarding mileage of methanol/ gasoline compared to that of regular unleaded gasoline: mileage of the two fuels equal, mileage 4 percent better with gasohol, and mileage 4 percent worse with gasohol. The standard methodology described for the base case applies to all of the variations.

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

    SciTech Connect

    Ferraro, R.J.; McConnell, B.W.

    1993-06-01

    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.

  3. Bottom Up and Country Led: A New Framework for Climate Action...

    OpenEI (Open Energy Information) [EERE & EIA]

    transition strategically to low-carbon economic development while bolstering their resilience to the effects of climate change." References "Bottom Up and Country Led: A New...

  4. Table 2.5 Household Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005

    Energy Information Administration (EIA) (indexed site)

    5 Household 1 Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005 Year Space Heating 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- tricity 3 Fuel Oil 4 LPG 5 Total Natural Gas Elec- tricity 3 LPG 5 Total Consumption (quadrillion Btu)<//td> 1978 4.26 0.40 2.05 0.23 6.94 0.31 1.04 0.29 0.14 0.06 1.53 0.28 1.46 0.03 1.77 1980 3.41 .27 1.30 .23 5.21 .36 1.15 .30 .22

  5. Table 3.6 Consumer Expenditure Estimates for Energy by End-Use Sector, 1970-2010 (Million Dollars )

    Energy Information Administration (EIA) (indexed site)

    Consumer Expenditure Estimates for Energy by End-Use Sector, 1970-2010 (Million Dollars 1) Year Residential Commercial Industrial Transportation Natural Gas 2 Petroleum Retail Electricity 3 Total 4 Natural Gas 2 Petroleum 5 Retail Electricity 3 Total 6,7 Coal Natural Gas 2 Petroleum 5 Biomass 8 Retail Electricity 3 Total 7,9 Petroleum 5 Total 7,10 1970 5,272 4,186 10,352 20,112 1,844 1,440 7,319 10,678 2,082 2,625 6,069 366 5,624 16,691 35,327 35,379 1971 5,702 4,367 11,589 21,934 2,060 1,574

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

    SciTech Connect

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

    1991-09-01

    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.

  7. An integrated top-down and bottom-up strategy for characterization protein isoforms and modifications

    SciTech Connect

    Wu, Si; Tolic, Nikola; Tian, Zhixin; Robinson, Errol W.; Pasa-Tolic, Ljiljana

    2011-04-15

    Bottom-up and top-down strategies are two commonly used methods for mass spectrometry (MS) based protein identification; each method has its own advantages and disadvantages. In this chapter, we describe an integrated top-down and bottom-up approach facilitated by concurrent liquid chromatography-mass spectrometry (LC-MS) analysis and fraction collection for comprehensive high-throughput intact protein profiling. The approach employs a high resolution reversed phase (RP) LC separation coupled with LC eluent fraction collection and concurrent on-line MS with a high field (12 Tesla) Fourier-transform ion cyclotron resonance (FTICR) mass spectrometer. Protein elusion profiles and tentative modified protein identification are made using detected intact protein mass in conjunction with bottom-up protein identifications from the enzymatic digestion and analysis of corresponding LC fractions. Specific proteins of biological interest are incorporated into a target ion list for subsequent off-line gas-phase fragmentation that uses an aliquot of the original collected LC fraction, an aliquot of which was also used for bottom-up analysis.

  8. Oriented bottom-up growth of armchair graphene nanoribbons on germanium

    DOEpatents

    Arnold, Michael Scott; Jacobberger, Robert Michael

    2016-03-15

    Graphene nanoribbon arrays, methods of growing graphene nanoribbon arrays and electronic and photonic devices incorporating the graphene nanoribbon arrays are provided. The graphene nanoribbons in the arrays are formed using a scalable, bottom-up, chemical vapor deposition (CVD) technique in which the (001) facet of the germanium is used to orient the graphene nanoribbon crystals along the [110] directions of the germanium.

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

    SciTech Connect

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

    1994-05-01

    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.

  10. Piezoresistive characterization of bottom-up, n-type silicon microwires undergoing bend deformation

    SciTech Connect

    McClarty, Megan M.; Oliver, Derek R. E-mail: Derek.Oliver@umanitoba.ca; Bruce, Jared P.; Freund, Michael S. E-mail: Derek.Oliver@umanitoba.ca

    2015-01-12

    The piezoresistance of silicon has been studied over the past few decades in order to characterize the material's unique electromechanical properties and investigate their wider applicability. While bulk and top-down (etched) micro- and nano-wires have been studied extensively, less work exists regarding bottom-up grown microwires. A facile method is presented for characterizing the piezoresistance of released, phosphorus-doped silicon microwires that have been grown, bottom-up, via a chemical vapour deposition, vapour-liquid-solid process. The method uses conductive tungsten probes to simultaneously make electrical measurements via direct ohmic contact and apply mechanical strain via bend deformation. These microwires display piezoresistive coefficients within an order of magnitude of those expected for bulk n-type silicon; however, they show an anomalous response at degenerate doping concentrations (?10{sup 20?}cm{sup ?3}) when compared to lower doping concentrations (?10{sup 17?}cm{sup ?3}), with a stronger piezoresistive coefficient exhibited for the more highly doped wires. This response is postulated to be due to the different growth mechanism of bottom-up microwires as compared to top-down.

  11. Alternative Strategies for Low Pressure End Uses

    Energy.gov [DOE]

    This tip sheet outlines alternative strategies for low-pressure end uses as a pathway to reduced compressed air energy costs.

  12. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ... ","Row" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel ...

  13. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ... Coal" "Code(a)","End Use","Total","Electricity(b)","Fuel Oil","Diesel ...

  14. End-use taxes: Current EIA practices

    SciTech Connect

    Not Available

    1994-08-17

    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.

  15. Energy balances in the production and end use of alcohols derived from biomass. A fuels-specific comparative analysis of alternate ethanol production cycles

    SciTech Connect

    Not Available

    1980-10-01

    Considerable public interest and debate have been focused on the so-called energy balance issue involved in the conversion of biomass materials into ethanol for fuel use. This report addresses questions of net gains in premium fuels that can be derived from the production and use of ethanol from biomass, and shows that for the US alcohol fuel program, energy balance need not be a concern. Three categories of fuel gain are discussed in the report: (1) Net petroleum gain; (2) Net premium fuel gain (petroleum and natural gas); and (3) Net energy gain (for all fuels). In this study the investment of energy (in the form of premium fuels) in alcohol production includes all investment from cultivating, harvesting, or gathering the feedstock and raw materials, through conversion of the feedstock to alcohol, to the delivery to the end-user. To determine the fuel gains in ethanol production, six cases, encompassing three feedstocks, five process fuels, and three process variations, have been examined. For each case, two end-uses (automotive fuel use and replacement of petrochemical feedstocks) were scrutinized. The end-uses were further divided into three variations in fuel economy and two different routes for production of ethanol from petrochemicals. Energy requirements calculated for the six process cycles accounted for fuels used directly and indirectly in all stages of alcohol production, from agriculture through distribution of product to the end-user. Energy credits were computed for byproducts according to the most appropriate current use.

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

    SciTech Connect

    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)

    1996-08-01

    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.

  17. Top-down and bottom-up definitions of human failure events in human reliability analysis

    SciTech Connect

    Boring, Ronald Laurids

    2014-10-01

    In the probabilistic risk assessments (PRAs) used in the nuclear industry, human failure events (HFEs) are determined as a subset of hardware failures, namely those hardware failures that could be triggered by human action or inaction. This approach is top-down, starting with hardware faults and deducing human contributions to those faults. Elsewhere, more traditionally human factors driven approaches would tend to look at opportunities for human errors first in a task analysis and then identify which of those errors is risk significant. The intersection of top-down and bottom-up approaches to defining HFEs has not been carefully studied. Ideally, both approaches should arrive at the same set of HFEs. This question is crucial, however, as human reliability analysis (HRA) methods are generalized to new domains like oil and gas. The HFEs used in nuclear PRAs tend to be top-down—defined as a subset of the PRA—whereas the HFEs used in petroleum quantitative risk assessments (QRAs) often tend to be bottom-up—derived from a task analysis conducted by human factors experts. The marriage of these approaches is necessary in order to ensure that HRA methods developed for top-down HFEs are also sufficient for bottom-up applications.

  18. Bottom-up processing and low temperature transport properties of polycrystalline SnSe

    SciTech Connect

    Ge, Zhen-Hua; Wei, Kaya; Lewis, Hutton; Martin, Joshua; Nolas, George S.

    2015-05-15

    A hydrothermal approach was employed to efficiently synthesize SnSe nanorods. The nanorods were consolidated into polycrystalline SnSe by spark plasma sintering for low temperature electrical and thermal properties characterization. The low temperature transport properties indicate semiconducting behavior with a typical dielectric temperature dependence of the thermal conductivity. The transport properties are discussed in light of the recent interest in this material for thermoelectric applications. The nanorod growth mechanism is also discussed in detail. - Graphical abstract: SnSe nanorods were synthesized by a simple hydrothermal method through a bottom-up approach. Micron sized flower-like crystals changed to nanorods with increasing hydrothermal temperature. Low temperature transport properties of polycrystalline SnSe, after SPS densification, were reported for the first time. This bottom-up synthetic approach can be used to produce phase-pure dense polycrystalline materials for thermoelectrics applications. - Highlights: • SnSe nanorods were synthesized by a simple and efficient hydrothermal approach. • The role of temperature, time and NaOH content was investigated. • SPS densification allowed for low temperature transport properties measurements. • Transport measurements indicate semiconducting behavior.

  19. The National Fuel End-Use Efficiency Field Test: Energy Savings and Performance of an Improved Energy Conservation Measure Selection Technique

    SciTech Connect

    Ternes, M.P.

    1991-01-01

    The performance of an advanced residential energy conservation measure (ECM) selection technique was tested in Buffalo, New York, to verify the energy savings and program improvements achieved from use of the technique in conservation programs and provide input into determining whether utility investments in residential gas end-use conservation are cost effective. The technique analyzes a house to identify all ECMs that are cost effective in the building envelope, space-heating system, and water-heating system. The benefit-to-cost ratio (BCR) for each ECM is determined and cost-effective ECMs (BCR > 1.0) are selected once interactions between ECMs are taken into account. Eighty-nine houses with the following characteristics were monitored for the duration of the field test: occupants were low-income, houses were single-family detached houses but not mobile homes, and primary space- and water-heating systems were gas-fired. Forty-five houses received a mix of ECMs as selected by the measure selection technique (audit houses) and 44 served as a control group. Pre-weatherization data were collected from January to April 1988 and post-weatherization data were collected from December 1988 to April 1989. Space- and waterheating gas consumption and indoor temperature were monitored weekly during the two winters. A house energy consumption model and regression analysis were employed to normalize the space-heating energy savings to average outdoor temperature conditions and a 68 F indoor temperature. Space and water-heating energy savings for the audit houses were adjusted by the savings for the control houses. The average savings of 257 therms/year for the audit houses was 17% of the average pre-weatherization house gas consumption and 78% of that predicted. Average space-heating energy savings was 252 therms/year (25% of pre-weatherization space-heating energy consumption and 85% of the predicted value) and average water-heating savings was 5 therms/year (2% of pre

  20. Enhancing Bottom-up and Top-down Proteomic Measurements with Ion Mobility Separations

    SciTech Connect

    Baker, Erin Shammel; Burnum-Johnson, Kristin E.; Ibrahim, Yehia M.; Orton, Daniel J.; Monroe, Matthew E.; Kelly, Ryan T.; Moore, Ronald J.; Zhang, Xing; Theberge, Roger; Costello, Catherine E; Smith, Richard D.

    2015-07-03

    Proteomic measurements with greater throughput, sensitivity and additional structural information enhance the in-depth characterization of complex mixtures and targeted studies with additional information and higher confidence. While liquid chromatography separation coupled with mass spectrometry (LC-MS) measurements have provided information on thousands of proteins in different sample types, the additional of another rapid separation stage providing structural information has many benefits for analyses. Technical advances in ion funnels and multiplexing have enabled ion mobility separations to be easily and effectively coupled with LC-MS proteomics to enhance the information content of measurements. Herein, we report on applications illustrating increased sensitivity, throughput, and structural information by utilizing IMS-MS and LC-IMS-MS measurements for both bottom-up and top-down proteomics measurements.

  1. Enhancing Bottom-up and Top-down Proteomic Measurements with Ion Mobility Separations

    DOE PAGES [OSTI]

    Baker, Erin Shammel; Burnum-Johnson, Kristin E.; Ibrahim, Yehia M.; Orton, Daniel J.; Monroe, Matthew E.; Kelly, Ryan T.; Moore, Ronald J.; Zhang, Xing; Theberge, Roger; Costello, Catherine E.; et al

    2015-07-03

    Proteomic measurements with greater throughput, sensitivity and additional structural information enhance the in-depth characterization of complex mixtures and targeted studies with additional information and higher confidence. While liquid chromatography separation coupled with mass spectrometry (LC-MS) measurements have provided information on thousands of proteins in different sample types, the additional of another rapid separation stage providing structural information has many benefits for analyses. Technical advances in ion funnels and multiplexing have enabled ion mobility separations to be easily and effectively coupled with LC-MS proteomics to enhance the information content of measurements. Finally, herein, we report on applications illustrating increased sensitivity, throughput,more » and structural information by utilizing IMS-MS and LC-IMS-MS measurements for both bottom-up and top-down proteomics measurements.« less

  2. The changing Chinese SEA indicator guidelines: Top-down or bottom-up?

    SciTech Connect

    Gao, Jingjing Christensen, Per; Kørnøv, Lone

    2014-01-15

    In the last decades, China has introduced a set of indicators to guide the Strategic Environmental Assessment (SEA) practice. The most recent indicator system proposed in 2009 is based on sector-specific guidelines and it found its justification in past negative experiences with more general guidelines (from 2003), which were mostly inspired by, or copied from, international experiences. Based on interviews with practitioners, researchers and administrators, we map and analyse the change in the national guidelines. This analysis is based on a description of the indicators that makes it possible to discern different aggregation levels of indicators and then trace the changes occurring under two sets of guidelines. The analysis also reveals the reasons and rationales behind the changes found in the guidelines. This analysis is inspired by implementation theory and a description of some of the more general trends in the development of SEA and other environmental policies in a recent Chinese context. Beside a more top-down, intentional approach specifying indicators for different sectors based on Chinese experiences from the preceding years, another significant change, following the new guidelines, is a more bottom-up approach which gives more discretion to practitioners. This entails a call for practitioners to make decisions on indicators, which involves an interpretation of the ones present in sector guidance. Highlights: • Focusing on the new Chinese national SEA guidelines proposed in 2009 • Mapping and analysing the most recent change in the indicator system • Revealing the reasons and rationales behind the changes found in the new guidelines • A top-down intention specifying indicators for different sectors • A bottom-up effect in giving discretion and interpretation of using indicators.

  3. " Row: End Uses;"

    Energy Information Administration (EIA) (indexed site)

    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

  4. " Row: End Uses;"

    Energy Information Administration (EIA) (indexed site)

    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

  5. End Use and Fuel Certification

    Office of Energy Efficiency and Renewable Energy (EERE)

    Breakout Session 2: Frontiers and Horizons Session 2–B: End Use and Fuel Certification John Eichberger, Vice President of Government Relations, National Association for Convenience Stores

  6. " Row: End Uses;"

    Energy Information Administration (EIA) (indexed site)

    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

  7. " Row: End Uses;"

    Energy Information Administration (EIA) (indexed site)

    7 End Uses of Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: End Uses;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " ",," ","Distillate"," "," ",," " " ","Net Demand",,"Fuel Oil",,,"Coal" " ","for ","Residual","and","Natural

  8. " Row: End Uses;"

    Energy Information Administration (EIA) (indexed site)

    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

  9. " Row: End Uses;"

    Energy Information Administration (EIA) (indexed site)

    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

  10. " Row: End Uses;"

    Energy Information Administration (EIA) (indexed site)

    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

  11. Estimating Methods for Determining End-Use Water Consumption | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy Facilities » Water Efficiency » Estimating Methods for Determining End-Use Water Consumption Estimating Methods for Determining End-Use Water Consumption The Federal Building Metering Guidance specifies buildings with water using processes and whole building water consumption that exceeds 1,000 gallons per day must have a water meter installed. Below are methods for estimating daily water use for typical end-uses that drive building-level, end-use water consumption. Plumbing

  12. Bottom-up coarse-grained models that accurately describe the...

    Office of Scientific and Technical Information (OSTI)

    the CG models accurately reproduce the equilibrium density, compressibility, and average ... CORRELATIONS; DENSITY; ENERGY DENSITY; EQUILIBRIUM; FLUCTUATIONS; HEPTANE; LIQUIDS; ...

  13. Benchmarking Non-Hardware Balance-of-System (Soft) Costs for U.S. Photovoltaic Systems, Using a Bottom-Up Approach and Installer Survey - Second Edition

    SciTech Connect

    Friedman, B.; Ardani, K.; Feldman, D.; Citron, R.; Margolis, R.; Zuboy, J.

    2013-10-01

    This report presents results from the second U.S. Department of Energy (DOE) sponsored, bottom-up data-collection and analysis of non-hardware balance-of-system costs -- often referred to as 'business process' or 'soft' costs -- for U.S. residential and commercial photovoltaic (PV) systems. In service to DOE's SunShot Initiative, annual expenditure and labor-hour-productivity data are analyzed to benchmark 2012 soft costs related to (1) customer acquisition and system design (2) permitting, inspection, and interconnection (PII). We also include an in-depth analysis of costs related to financing, overhead, and profit. Soft costs are both a major challenge and a major opportunity for reducing PV system prices and stimulating SunShot-level PV deployment in the United States. The data and analysis in this series of benchmarking reports are a step toward the more detailed understanding of PV soft costs required to track and accelerate these price reductions.

  14. Biomass Resource Allocation among Competing End Uses

    SciTech Connect

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

    2012-05-01

    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.

  15. Conservative and dissipative force field for simulation of coarse-grained alkane molecules: A bottom-up approach

    SciTech Connect

    Trment, Sbastien; Rousseau, Bernard, E-mail: bernard.rousseau@u-psud.fr [Laboratoire de Chimie-Physique, UMR 8000 CNRS, Universit Paris-Sud, Orsay (France)] [Laboratoire de Chimie-Physique, UMR 8000 CNRS, Universit Paris-Sud, Orsay (France); Schnell, Benot; Petitjean, Laurent; Couty, Marc [Manufacture Franaise des Pneumatiques MICHELIN, Centre de Ladoux, 23 place des Carmes, 63000 Clermont-Ferrand (France)] [Manufacture Franaise des Pneumatiques MICHELIN, Centre de Ladoux, 23 place des Carmes, 63000 Clermont-Ferrand (France)

    2014-04-07

    We apply operational procedures available in the literature to the construction of coarse-grained conservative and friction forces for use in dissipative particle dynamics (DPD) simulations. The full procedure rely on a bottom-up approach: large molecular dynamics trajectories of n-pentane and n-decane modeled with an anisotropic united atom model serve as input for the force field generation. As a consequence, the coarse-grained model is expected to reproduce at least semi-quantitatively structural and dynamical properties of the underlying atomistic model. Two different coarse-graining levels are studied, corresponding to five and ten carbon atoms per DPD bead. The influence of the coarse-graining level on the generated force fields contributions, namely, the conservative and the friction part, is discussed. It is shown that the coarse-grained model of n-pentane correctly reproduces self-diffusion and viscosity coefficients of real n-pentane, while the fully coarse-grained model for n-decane at ambient temperature over-predicts diffusion by a factor of 2. However, when the n-pentane coarse-grained model is used as a building block for larger molecule (e.g., n-decane as a two blobs model), a much better agreement with experimental data is obtained, suggesting that the force field constructed is transferable to large macro-molecular systems.

  16. Table 5.1 End Uses of Fuel Consumption, 2010;

    Energy Information Administration (EIA) (indexed site)

    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

  17. Table 5.3 End Uses of Fuel Consumption, 2010;

    Energy Information Administration (EIA) (indexed site)

    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 Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States 311 - 339 ALL

  18. Table 5.5 End Uses of Fuel Consumption, 2010;

    Energy Information Administration (EIA) (indexed site)

    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

  19. Table 5.6 End Uses of Fuel Consumption, 2010;

    Energy Information Administration (EIA) (indexed site)

    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

  20. Table 5.7 End Uses of Fuel Consumption, 2010;

    Energy Information Administration (EIA) (indexed site)

    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

  1. Table 5.8 End Uses of Fuel Consumption, 2010;

    Energy Information Administration (EIA) (indexed site)

    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 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

  2. ,"California Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","California Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: California Natural Gas Consumption by End Use" ...

  3. ,"Virginia Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Virginia Natural Gas Consumption by End ... 11:05:20 AM" "Back to Contents","Data 1: Virginia Natural Gas Consumption by End Use" ...

  4. ,"Texas Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Texas Natural Gas Consumption by End ... 6:36:11 AM" "Back to Contents","Data 1: Texas Natural Gas Consumption by End Use" ...

  5. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ... Coal" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel ...

  6. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ... Coal","Row" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel ...

  7. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ... Coal","Row" "Code(a)","End Use","for Electricity(b)","Fuel Oil","Diesel ...

  8. ,"Oklahoma Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Oklahoma Natural Gas Consumption by End ... 11:05:14 AM" "Back to Contents","Data 1: Oklahoma Natural Gas Consumption by End Use" ...

  9. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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

  10. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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

  11. Vehicle Technologies Office: Biofuels End-Use Research | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Alternative Fuels » Vehicle Technologies Office: Biofuels End-Use Research Vehicle Technologies Office: Biofuels End-Use Research Biofuels offer Americans viable domestic, environmentally sustainable alternatives to gasoline and diesel. Learn about the basics, benefits, and issues to consider related to biodiesel and ethanol on the Alternative Fuels Data Center. The Vehicle Technologies Office supports research to increase our knowledge of the effects of biofuels on engines and

  12. Preliminary CBECS End-Use Estimates

    Energy Information Administration (EIA) (indexed site)

    For the past three CBECS (1989, 1992, and 1995), we used a statistically-adjusted engineering (SAE) methodology to estimate end-use consumption. The core of the SAE methodology...

  13. ,"Alabama Natural Gas Consumption by End Use"

    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 ...

  14. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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

  15. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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" " "," ","

  16. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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"," ","

  17. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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

  18. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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)"

  19. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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

  20. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    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)"

  1. Realizing Building End-Use Efficiency with Ermerging Technologies

    Energy.gov [DOE]

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

  2. ,"Kentucky Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ,"Excel File Name:","ngconssumdcuskym.xls" ,"Available from Web Page:","http:www.eia.govdnavngngconssumdcuskym.htm" ,"Source:","Energy Information ...

  3. ,"Pennsylvania Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ,"Excel File Name:","ngconssumdcuspam.xls" ,"Available from Web Page:","http:www.eia.govdnavngngconssumdcuspam.htm" ,"Source:","Energy Information ...

  4. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," ... ","RSE" "NAICS"," ","Total","Electricity(b)","Fuel Oil","Diesel ...

  5. Office Buildings - End-Use Equipment

    Annual Energy Outlook

    Information Administration, 2003 Commercial Buildings Energy Consumption Survey. More computers, dedicated servers, printers, and photocopiers were used in office buildings than in...

  6. Bottom-up derivation of conservative and dissipative interactions for coarse-grained molecular liquids with the conditional reversible work method

    SciTech Connect

    Deichmann, Gregor; Marcon, Valentina; Vegt, Nico F. A. van der

    2014-12-14

    Molecular simulations of soft matter systems have been performed in recent years using a variety of systematically coarse-grained models. With these models, structural or thermodynamic properties can be quite accurately represented while the prediction of dynamic properties remains difficult, especially for multi-component systems. In this work, we use constraint molecular dynamics simulations for calculating dissipative pair forces which are used together with conditional reversible work (CRW) conservative forces in dissipative particle dynamics (DPD) simulations. The combined CRW-DPD approach aims to extend the representability of CRW models to dynamic properties and uses a bottom-up approach. Dissipative pair forces are derived from fluctuations of the direct atomistic forces between mapped groups. The conservative CRW potential is obtained from a similar series of constraint dynamics simulations and represents the reversible work performed to couple the direct atomistic interactions between the mapped atom groups. Neopentane, tetrachloromethane, cyclohexane, and n-hexane have been considered as model systems. These molecular liquids are simulated with atomistic molecular dynamics, coarse-grained molecular dynamics, and DPD. We find that the CRW-DPD models reproduce the liquid structure and diffusive dynamics of the liquid systems in reasonable agreement with the atomistic models when using single-site mapping schemes with beads containing five or six heavy atoms. For a two-site representation of n-hexane (3 carbons per bead), time scale separation can no longer be assumed and the DPD approach consequently fails to reproduce the atomistic dynamics.

  7. Constructing Ordered Sensitized Heterojunctions: Bottom-Up Electrochemical Synthesis of p-Type Semiconductors in Oriented n-TiO2 Nanotube Arrays

    SciTech Connect

    Wang, Q.; Zhu, K.; Neale, N. R.; Frank. A. J.

    2009-01-01

    Fabrication of efficient semiconductor-sensitized bulk heterojunction solar cells requires the complete filling of the pore system of one semiconductor (host) material with nanoscale dimensions (<100 nm) with a different semiconductor (guest) material. Because of the small pore size and electrical conductivity of the host material, it is challenging to employ electrochemical approaches to fill the entire pore network. Typically, during the electrochemical deposition process, the guest material blocks the pores of the host, precluding complete pore filling. We describe a general synthetic strategy for spatially controlling the growth of p-type semiconductors in the nanopores of electrically conducting n-type materials. As an illustration of this strategy, we report on the facile electrochemical deposition of p-CuInSe{sub 2} in nanoporous anatase n-TiO{sub 2} oriented nanotube arrays and nanoparticle films. We show that by controlling the ambipolar diffusion length the p-type semiconductors can be deposited from the bottom-up, resulting in complete pore filling.

  8. Biomass Resource Allocation among Competing End Uses

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research & Development » Biomass Feedstocks Biomass Feedstocks An alternate text version of this video is available online. A feedstock is defined as any renewable, biological material that can be used directly as a fuel, or converted to another form of fuel or energy product. Biomass feedstocks are the plant and algal materials used to derive fuels like ethanol, butanol, biodiesel, and other hydrocarbon fuels. Examples of biomass feedstocks include corn starch, sugarcane juice, crop

  9. The Reality and Future Scenarios of Commercial Building Energy Consumption in China

    SciTech Connect

    Zhou, Nan; Lin, Jiang

    2007-08-01

    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.

  10. Engineer End Uses for Maximum Efficiency; Industrial Technologies...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    0 * August 2004 Industrial Technologies Program Suggested Actions * Review compressed air end uses and determine the required level of air pressure. * Review the compressed air end ...

  11. ,"West Virginia Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","West Virginia Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: West Virginia Natural Gas Consumption by End Use" ...

  12. ,"New Hampshire Natural Gas Consumption by End Use"

    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","New Hampshire ...

  13. ,"Rhode Island Natural Gas Consumption by End Use"

    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","Rhode Island ...

  14. ,"New Mexico Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","New Mexico Natural Gas Consumption by End ... AM" "Back to Contents","Data 1: New Mexico Natural Gas Consumption by End Use" ...

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

    Energy Information Administration (EIA) (indexed site)

    Author Contact: Joelle.Michaels@eia.doe.gov Joelle Michaels CBECS Survey Manager URL: http:www.eia.govconsumptioncommercialdataarchivecbecscbecs1d.html separater bar...

  16. End-Use Sector Flowcharts, Energy Intensity Indicators

    Energy.gov [DOE] (indexed site)

    Controls for Economic Dispatch of Combined Cooling, Heating and Power (CHP) Systems ADVANCED MANUFACTURING OFFICE Enabling More Widespread Use of CHP in Light Industrial, Commercial, and Institutional Applications This project developed and demonstrated novel algorithms and dynamic control technology for optimal economic use of CHP systems under 15 MW. Combined cooling, heating and power (CHP) technologies have successfully entered the market for larger (over 20 MW) applications. Smaller

  17. CBECS 1989 - Energy End-use Intensities in Commercial Buildings...

    Energy Information Administration (EIA) (indexed site)

    the sampling error is nonzero and unknown for the particular sample chosen, the sample design permits sampling errors to be estimated. Due to the complexity of the sample design,...

  18. Energy Information Administration - Table 2. End Uses of Fuel...

    Gasoline and Diesel Fuel Update

    -- -- -- 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...

  19. Energy End-Use Intensities in Commercial Buildings

    Energy Information Administration (EIA) (indexed site)

    lighting intensities per lighted square foot-hour (Figure 23). * Food service and health care buildings had the highest water-heating intensities per square foot--more than...

  20. Energy End-Use Intensities in Commercial Buildings

    Gasoline and Diesel Fuel Update

    and stored using mechanical pumps or fans to circulate heat-laden fluids or air between solar collectors and the building. Examples include the use of solar collectors for water...

  1. ,"North Dakota Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","North Dakota Natural Gas Consumption by End ... 10:31:27 AM" "Back to Contents","Data 1: North Dakota Natural Gas Consumption by End Use" ...

  2. Table 5.4 End Uses of Fuel Consumption, 2010;

    Annual Energy Outlook

    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 ...

  3. Table 5.2 End Uses of Fuel Consumption, 2010;

    Energy Information Administration (EIA) (indexed site)

    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 ...

  4. Level: National Data; Row: End Uses within NAICS Codes; Column...

    Energy Information Administration (EIA) (indexed site)

    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 ...

  5. End-Use Opportunity Analysis from Progress Indicator Results for ASHRAE Standard 90.1-2013

    SciTech Connect

    Hart, Philip R.; Xie, YuLong

    2015-02-05

    This report and an accompanying spreadsheet (PNNL 2014a) compile the end use building simulation results for prototype buildings throughout the United States. The results represent he energy use of each edition of ASHRAE Standard 90.1, Energy Standard for Buildings Except Low-Rise Residential Buildings (ASHRAE 2004, 2007, 2010, 2013). PNNL examined the simulation results to determine how the remaining energy was used.

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

    SciTech Connect

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

    2008-07-31

    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.

  7. Refining and End Use Study of Coal Liquids

    SciTech Connect

    1997-10-01

    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.

  8. REFINING AND END USE STUDY OF COAL LIQUIDS

    SciTech Connect

    Unknown

    2002-01-01

    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.

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

    SciTech Connect

    Levine, M.D.; Koomey, J.; Price, L.; Geller, H.; Nadel, S.

    1992-03-01

    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.

  10. Renewable Electricity Futures Study Volume 3: End-Use Electricity Demand

    Office of Energy Efficiency and Renewable Energy (EERE)

    This volume details the end-use electricity demand and efficiency assumptions. The projection of electricity demand is an important consideration in determining the extent to which a predominantly renewable electricity future is feasible. Any scenario regarding future electricity use must consider many factors, including technological, sociological, demographic, political, and economic changes (e.g., the introduction of new energy-using devices; gains in energy efficiency and process improvements; changes in energy prices, income, and user behavior; population growth; and the potential for carbon mitigation).

  11. Substation automation -- a ``bottoms up`` approach

    SciTech Connect

    Thomas, J.

    1996-10-01

    The proliferation of multi-purpose intelligent electronic devices in substations brought the availability of abundant and often overlapping data at the substation. This data can be used for improving the operation and maintenance of the substations and the entire power system. The objective of substation automation is to use technology to gather, consolidate and utilize this data for increasing the efficiency of power system operation and maintenance. Often automation functions are developed and offered around the capabilities of the preferred hardware and software of the integrator. Emphasis is placed on hardware, software and communication protocols rather than need, methodology and application. This can result in over-automation with complex, expensive and ineffective systems, or under-automation that fails to achieve the user`s objectives. The objective is to select appropriate hardware, software and methodology to build the most cost effective system to get the desired results. This paper describes steps to ensure the successful implementation of substation automation.

  12. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect

    Schneider, Kevin P.; Fuller, Jason C.

    2010-04-09

    The field of distribution system analysis has made significant advances in the past ten years. It is now standard practice when performing a power flow simulation to use an algorithm that is capable of unbalanced per-phase analysis. Recent work has also focused on examining the need for time-series simulations instead of examining a single time period, i.e., peak loading. One area that still requires a significant amount of work is the proper modeling of end use loads. Currently it is common practice to use a simple load model consisting of a combination of constant power, constant impedance, and constant current elements. While this simple form of end use load modeling is sufficient for a single point in time, the exact model values are difficult to determine and it is inadequate for some time-series simulations. This paper will examine how to improve simple time invariant load models as well as develop multi-state time variant models.

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

    SciTech Connect

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

    1994-05-01

    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.

  14. 1999 Commercial Buildings Characteristics--End-Use Equipment

    Energy Information Administration (EIA) (indexed site)

    586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey Cooling Equipment Packaged air conditioning units were the predominant type of cooling...

  15. Lawrence Berkeley National Laboratory (LBNL) | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    drug Off-grid LED lighting Resources LBNL Tools BEST-Cement for China Benchmarking and Energy Saving Tool Bottom-Up Energy Analysis System (BUENAS) Climate Change Mitigation in...

  16. Renewable Electricity Futures Study. Volume 3: End-Use Electricity...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... logically be expected to have an impact on the way in which energy is generated, delivered, and used, whether by specific controls or through pricing incentives or disincentives. ...

  17. Level: National Data; Row: End Uses within NAICS Codes; Column...

    Gasoline and Diesel Fuel Update

    within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. ... from noncombustible renewable resources, minus quantities sold and transferred out. ...

  18. Level: National Data; Row: End Uses within NAICS Codes; Column...

    Gasoline and Diesel Fuel Update

    NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. ... from noncombustible renewable resources, minus quantities sold and transferred out. ...

  19. Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates

    SciTech Connect

    Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

    2012-12-01

    The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

  20. Technology data characterizing water heating in commercial buildings: Application to end-use forecasting

    SciTech Connect

    Sezgen, O.; Koomey, J.G.

    1995-12-01

    Commercial-sector conservation analyses have traditionally focused on lighting and space conditioning because of their relatively-large shares of electricity and fuel consumption in commercial buildings. In this report we focus on water heating, which is one of the neglected end uses in the commercial sector. The share of the water-heating end use in commercial-sector electricity consumption is 3%, which corresponds to 0.3 quadrillion Btu (quads) of primary energy consumption. Water heating accounts for 15% of commercial-sector fuel use, which corresponds to 1.6 quads of primary energy consumption. Although smaller in absolute size than the savings associated with lighting and space conditioning, the potential cost-effective energy savings from water heaters are large enough in percentage terms to warrant closer attention. In addition, water heating is much more important in particular building types than in the commercial sector as a whole. Fuel consumption for water heating is highest in lodging establishments, hospitals, and restaurants (0.27, 0.22, and 0.19 quads, respectively); water heating`s share of fuel consumption for these building types is 35%, 18% and 32%, respectively. At the Lawrence Berkeley National Laboratory, we have developed and refined a base-year data set characterizing water heating technologies in commercial buildings as well as a modeling framework. We present the data and modeling framework in this report. The present commercial floorstock is characterized in terms of water heating requirements and technology saturations. Cost-efficiency data for water heating technologies are also developed. These data are intended to support models used for forecasting energy use of water heating in the commercial sector.

  1. Residential and Transport Energy Use in India: Past Trend and Future Outlook

    SciTech Connect

    de la Rue du Can, Stephane; Letschert, Virginie; McNeil, Michael; Zhou, Nan; Sathaye, Jayant

    2009-03-31

    The main contribution of this report is to characterize the underlying residential and transport sector end use energy consumption in India. Each sector was analyzed in detail. End-use sector-level information regarding adoption of particular technologies was used as a key input in a bottom-up modeling approach. The report looks at energy used over the period 1990 to 2005 and develops a baseline scenario to 2020. Moreover, the intent of this report is also to highlight available sources of data in India for the residential and transport sectors. The analysis as performed in this way reveals several interesting features of energy use in India. In the residential sector, an analysis of patterns of energy use and particular end uses shows that biomass (wood), which has traditionally been the main source of primary energy used in households, will stabilize in absolute terms. Meanwhile, due to the forces of urbanization and increased use of commercial fuels, the relative significance of biomass will be greatly diminished by 2020. At the same time, per household residential electricity consumption will likely quadruple in the 20 years between 2000 and 2020. In fact, primary electricity use will increase more rapidly than any other major fuel -- even more than oil, in spite of the fact that transport is the most rapidly growing sector. The growth in electricity demand implies that chronic outages are to be expected unless drastic improvements are made both to the efficiency of the power infrastructure and to electric end uses and industrial processes. In the transport sector, the rapid growth in personal vehicle sales indicates strong energy growth in that area. Energy use by cars is expected to grow at an annual growth rate of 11percent, increasing demand for oil considerably. In addition, oil consumption used for freight transport will also continue to increase .

  2. Biogas end-use in the European community

    SciTech Connect

    Constant, M.; Naveau, H.; Nyns, E.J. ); Ferrero, G.L.

    1989-01-01

    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.

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

    SciTech Connect

    Koomey, J.G.; Brown, R.E.; Richey, R.

    1995-12-01

    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.

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

    Energy Information Administration (EIA) (indexed site)

    Errors for Table 5.8;" " Unit: Percents." ,,,"Distillate" ,,,"Fuel Oil",,,"Coal" ,"Net Demand","Residual","and",,"LPG and","(excluding Coal" "End Use","for ...

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

    Energy Information Administration (EIA) (indexed site)

    Unit: Percents." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for ...

  6. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    SciTech Connect

    Zhou, Nan; Nishida, Masaru; Gao, Weijun

    2008-12-01

    China's rapid economic expansion has propelled it into the ranks of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. Even though the rapid growth is largely attributable to heavy industry, this in turn is driven by rapid urbanization process, by construction materials and equipment produced for use in buildings. Residential energy is mostly used in urban areas, where rising incomes have allowed acquisition of home appliances, as well as increased use of heating in southern China. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modeling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities.

  7. Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook

    SciTech Connect

    Zheng, Nina; Zhou, Nan; Fridley, David

    2010-09-01

    The past decade has seen the development of various scenarios describing long-term patterns of future Greenhouse Gas (GHG) emissions, with each new approach adding insights to our understanding of the changing dynamics of energy consumption and aggregate future energy trends. With the recent growing focus on China's energy use and emission mitigation potential, a range of Chinese outlook models have been developed across different institutions including in China's Energy Research Institute's 2050 China Energy and CO2 Emissions Report, McKinsey & Co's China's Green Revolution report, the UK Sussex Energy Group and Tyndall Centre's China's Energy Transition report, and the China-specific section of the IEA World Energy Outlook 2009. At the same time, the China Energy Group at Lawrence Berkeley National Laboratory (LBNL) has developed a bottom-up, end-use energy model for China with scenario analysis of energy and emission pathways out to 2050. A robust and credible energy and emission model will play a key role in informing policymakers by assessing efficiency policy impacts and understanding the dynamics of future energy consumption and energy saving and emission reduction potential. This is especially true for developing countries such as China, where uncertainties are greater while the economy continues to undergo rapid growth and industrialization. A slightly different assumption or storyline could result in significant discrepancies among different model results. Therefore, it is necessary to understand the key models in terms of their scope, methodologies, key driver assumptions and the associated findings. A comparative analysis of LBNL's energy end-use model scenarios with the five above studies was thus conducted to examine similarities and divergences in methodologies, scenario storylines, macroeconomic drivers and assumptions as well as aggregate energy and emission scenario results. Besides directly tracing different energy and CO{sub 2} savings potential

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

    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"...

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

    Energy Information Administration (EIA) (indexed site)

    Coal" "Code(a)","End Use","Electricity(b)","Fuel Oil","Diesel Fuel(c)"," ...rtation",5,0,11,13,4,0 ," Conventional Electricity Generation",0,0,53,5,2,0 ," Other ...

  10. MARKAL-MACRO: A linked model for energy-economy analysis

    SciTech Connect

    Manne, A.S.; Wene, C.O.

    1992-02-01

    MARKAL-MACRO is an experiment in model linkage for energy and economy analysis. This new tool is intended as an improvement over existing methods for energy strategy assessment. It is designed specifically for estimating the costs and analyzing the technologies proposed for reducing environmental risks such as global climate change or regional air pollution. The greenhouse gas debate illustrates the usefulness of linked energy-economy models. A central issue is the coupling between economic growth, the level of energy demands, and the development of an energy system to supply these demands. The debate is often connected with alternative modeling approaches. The competing philosophies may be labeled ``top-down macroeconomic`` and ``bottom-up engineering`` perspectives. MARKAL is a systems engineering (physical process) analysis built on the concept of a Reference Energy System (RES). MARKAL is solved by means of dynamic linear programming. In most applications, the end use demands are fixed, and an economically efficient solution is obtained by minimizing the present value of energy system`s costs throughout the planning horizon. MACRO is a macroeconomic model with an aggregated view of long-term economic growth. The basis input factors of production are capital, labor and individual forms of energy. MACRO is solved by nonlinear optimization.

  11. MARKAL-MACRO: A linked model for energy-economy analysis

    SciTech Connect

    Manne, A.S. ); Wene, C.O. Chalmers Univ. of Tech., Goeteborg )

    1992-02-01

    MARKAL-MACRO is an experiment in model linkage for energy and economy analysis. This new tool is intended as an improvement over existing methods for energy strategy assessment. It is designed specifically for estimating the costs and analyzing the technologies proposed for reducing environmental risks such as global climate change or regional air pollution. The greenhouse gas debate illustrates the usefulness of linked energy-economy models. A central issue is the coupling between economic growth, the level of energy demands, and the development of an energy system to supply these demands. The debate is often connected with alternative modeling approaches. The competing philosophies may be labeled top-down macroeconomic'' and bottom-up engineering'' perspectives. MARKAL is a systems engineering (physical process) analysis built on the concept of a Reference Energy System (RES). MARKAL is solved by means of dynamic linear programming. In most applications, the end use demands are fixed, and an economically efficient solution is obtained by minimizing the present value of energy system's costs throughout the planning horizon. MACRO is a macroeconomic model with an aggregated view of long-term economic growth. The basis input factors of production are capital, labor and individual forms of energy. MACRO is solved by nonlinear optimization.

  12. Energy for 500 Million Homes: Drivers and Outlook for Residential Energy Consumption in China

    SciTech Connect

    Zhou, Nan; McNeil, Michael A.; Levine, Mark

    2009-06-01

    China's rapid economic expansion has propelled it to the rank of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modelling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities. From this analysis, we can conclude that Chinese residential energy consumption will more than double by 2020, from 6.6 EJ in 2000 to 15.9 EJ in 2020. This increase will be driven primarily by urbanization, in combination with increases in living standards. In the urban and higher income Chinese households of the future, most major appliances will be common, and heated and cooled areas will grow on average. These shifts will offset the relatively modest efficiency gains expected according to current government plans and policies already in place. Therefore, levelling and reduction of growth in residential energy demand in China will require a new set of more aggressive efficiency policies.

  13. Developing an industrial end-use forecast: A case study at the Los Angeles department of water and power

    SciTech Connect

    Mureau, T.H.; Francis, D.M.

    1995-05-01

    The Los Angeles Department of Water and Power (LADWP) uses INFORM 1.0 to forecast industrial sector energy. INFORM 1.0 provides an end-use framework that can be used to forecast electricity, natural gas or other fuels consumption. Included with INFORM 1.0 is a default date set including the input data and equations necessary to solve each model. LADWP has substituted service area specific data for the default data wherever possible. This paper briefly describes the steps LADWP follows in developing those inputs and application in INFORM 1.0.

  14. Table 2.11 Commercial Buildings Electricity Consumption by End Use, 2003 (Trillion Btu)

    Energy Information Administration (EIA) (indexed site)

    1 Commercial Buildings Electricity Consumption by End Use, 2003 (Trillion Btu) End Use Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other 1 Total All Buildings 167 481 436 88 1,340 24 381 69 156 418 3,559 Principal Building Activity Education 15 74 83 11 113 2 16 4 32 21 371 Food Sales 6 12 7 Q 46 2 119 2 2 10 208 Food Service 10 28 24 10 42 13 70 2 2 15 217 Health Care 6 34 42 2 105 1 8 4 10 36 248 Inpatient 3 25 38 2 76 1 4 2 7 21

  15. ,"New Mexico Sales of Distillate Fuel Oil by End Use"

    Energy Information Administration (EIA) (indexed site)

    Sales of Distillate 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","New Mexico Sales of Distillate Fuel Oil by End Use",13,"Annual",2014,"6/30/1984" ,"Release Date:","12/22/2015" ,"Next Release Date:","Last Week of November 2016" ,"Excel

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

    Energy Information Administration (EIA) (indexed site)

    Distillate 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 Distillate Fuel Oil by End Use",13,"Annual",2014,"6/30/1984" ,"Release Date:","12/22/2015" ,"Next Release Date:","Last Week of November 2016" ,"Excel File

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

    Energy Information Administration (EIA) (indexed site)

    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",2014,"6/30/1984" ,"Release Date:","12/22/2015" ,"Next Release Date:","Last Week of November 2016" ,"Excel File

  18. U.S. Adjusted Distillate Fuel Oil and Kerosene Sales by End Use

    Energy Information Administration (EIA) (indexed site)

    Show Data By: End Use Product Area 2009 2010 2011 2012 2013 2014 View History Residential Distillate Fuel Oil 4,328,840 3,897,937 3,713,883 3,223,851 3,714,150 4,041,766 1984-2014 ...

  19. U.S. Distillate Fuel Oil and Kerosene Sales by End Use

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Distillate Fuel Oil and Kerosene Sales by End Use (Thousand Gallons) Area: U.S. East Coast ... Residential Distillate Fuel Oil 4,103,881 3,930,517 3,625,747 3,473,310 3,536,111 ...

  20. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect

    Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

    2010-08-01

    The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

  1. Assembly of a Molecular Needle, from the Bottom Up

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    in gram-negative bacteria (e.g. Yersinia, Shigella, Salmonella, Pseudomonas, and E. coli), which are all characterized by a double-membrane cell wall. The needle complex spans...

  2. Assembly of a Molecular Needle, from the Bottom Up

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    micrograph of the needle complex. The TTSS needle complex is found in gram-negative bacteria (e.g. Yersinia, Shigella, Salmonella, Pseudomonas, and E. coli), which are all...

  3. Assembly of a Molecular Needle, from the Bottom Up

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Genetic sequencing studies seem to indicate that type III secretion systems come from a common ancestor foreign to the bacteria. Crystallographic studies such as the one by Yip...

  4. Assembly of a Molecular Needle, from the Bottom Up

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Inset: Electron micrograph of the needle complex. The TTSS needle complex is found in gram-negative bacteria (e.g. Yersinia, Shigella, Salmonella, Pseudomonas, and E. coli),...

  5. Energy by State | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    per ) Compare By: US States Sector End-Use Sectors Electric Power Sector Energy Source, Consumption Coal Geothermal Energy Hydroelectric Power Natural Gas Nuclear Energy...

  6. Table 3. Top Five Retailers of Electricity, with End Use Sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Five Retailers of Electricity, with End Use Sectors, 2014" "Alaska" "megawatthours" ,"Entity","Type of Provider","All Sectors","Residential","Commercial","Industrial","Transportation" 1,"Golden Valley Elec Assn Inc","Cooperative",1219363,276627,129773,812963,0 2,"Chugach Electric Assn Inc","Cooperative",1134527,513748,563581,57198,0 3,"Anchorage Municipal

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

    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" ,"Data 1","Residential",4,"Annual",2014,"6/30/1984" ,"Data 2","Commercial",10,"Annual",2014,"6/30/1984" ,"Data

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

    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" ,"Data 1","Residential",4,"Annual",2014,"6/30/1984" ,"Data 2","Commercial",10,"Annual",2014,"6/30/1984" ,"Data

  9. Target Allocation Methodology for China's Provinces: Energy Intensity in the 12th FIve-Year Plan

    SciTech Connect

    Ohshita, Stephanie; Price, Lynn

    2011-03-21

    Experience with China's 20% energy intensity improvement target during the 11th Five-Year Plan (FYP) (2006-2010) has shown the challenges of rapidly setting targets and implementing measures to meet them. For the 12th FYP (2011-2015), there is an urgent need for a more scientific methodology to allocate targets among the provinces and to track physical and economic indicators of energy and carbon saving progress. This report provides a sectoral methodology for allocating a national energy intensity target - expressed as percent change in energy per unit gross domestic product (GDP) - among China's provinces in the 12th FYP. Drawing on international experience - especially the European Union (EU) Triptych approach for allocating Kyoto carbon targets among EU member states - the methodology here makes important modifications to the EU approach to address an energy intensity rather than a CO{sub 2} emissions target, and for the wider variation in provincial energy and economic structure in China. The methodology combines top-down national target projections and bottom-up provincial and sectoral projections of energy and GDP to determine target allocation of energy intensity targets. Total primary energy consumption is separated into three end-use sectors - industrial, residential, and other energy. Sectoral indicators are used to differentiate the potential for energy saving among the provinces. This sectoral methodology is utilized to allocate provincial-level targets for a national target of 20% energy intensity improvement during the 12th FYP; the official target is determined by the National Development and Reform Commission. Energy and GDP projections used in the allocations were compared with other models, and several allocation scenarios were run to test sensitivity. The resulting allocations for the 12th FYP offer insight on past performance and offer somewhat different distributions of provincial targets compared to the 11th FYP. Recommendations for reporting

  10. 1980 survey and evaluation of utility conservation, load management, and solar end-use projects. Volume 3: utility load management projects. Final report

    SciTech Connect

    Not Available

    1982-01-01

    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.

  11. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    Energy Information Administration (EIA) (indexed site)

    2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Updated Buildings Sector Appliance and ...

  12. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    Annual Energy Outlook

    ... energy conservation standard advanced notice of proposed rulemaking (lamps ANOPR). ... published a determination that energy conservation standards for HID lamps would be ...

  13. Quadrennial Energy Review Second Installment Electricity: Generation...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Quadrennial Energy Review Second Installment Electricity: Generation to End Use ... Midwest and Florida Regions, Duke Energy Corporation * Mike Langford, National ...

  14. July 11 Public Meeting: Physical Characterization of Grid-Connected Commercial And Residential Building End-Use Equipment And Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

    These documents contain the three slide decks presented at the public meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances, held on July 11, 2014 in Washington, DC.

  15. Public Meeting: Physical Characterization of Smart and Grid-Connected Commercial and Residential Building End-Use Equipment and Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014.

  16. Researching Energy Use in Hospitals

    Energy.gov [DOE]

    Historically, when hospital facility and energy managers have compared alternative energy efficiency investments for various end-use systems, their benchmarks have been limited to end-use estimates...

  17. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Washington" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Puget Sound Energy Inc","Investor-owned",20568948...

  18. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    4,"Duke Energy Progress - (NC)","Investor-owned",6559067,2292609,1804594,2461864,0 5,"Berkeley Electric Coop Inc","Cooperative",2095651,1269704,244465,581482,0 " ","Total ...

  19. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Iowa" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"MidAmerican Energy Co","Investor-owned",20585461,570529...

  20. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Montana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NorthWestern Energy LLC - (MT)","Investor-owned",597...

  1. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Kansas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Westar Energy Inc","Investor-owned",9973395,3434301,4...

  2. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Carolina" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Carolinas, LLC","Investor-owned",567506...

  3. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Ohio" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",41994756...

  4. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Pennsylvania" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"First Energy Solutions Corp.","Investor-owned",...

  5. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Indiana" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Duke Energy Indiana Inc","Investor-owned",28224148,9...

  6. Table 3. Top five retailers of electricity, with end use sectors...

    Energy Information Administration (EIA) (indexed site)

    Texas" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Reliant Energy Retail Services","Investor-owned",38670...

  7. The use of negotiated agreements to improve efficiency of end-use appliances: First results from the European experience

    SciTech Connect

    Bertoldi, P.; Bowie, R.; Hagen, L.

    1998-07-01

    The European Union is pursuing measures to improve end-use equipment efficiency through a variety of policy instruments, in particular for domestic appliances. One of the most effective methods to achieve market transformation is through minimum efficiency performance standards (MEPS). However, after the difficulties and controversy following the adoption of legislation for MEPS for domestic refrigerators/freezers, a new policy instrument, i.e. negotiated agreements by manufacturers, has been investigated and tested for two type of appliances: domestic washing machines and TVs and VCRs. Based on the positive experience of the above two agreements, other products (e.g. dryers, dishwasher, electric water heaters, etc.) will be the subject of future negotiated agreements. Based on the results of the two negotiated agreements, this paper describes the energy efficiency potential, the procedures, and the advantages and disadvantages of negotiated agreements compared to legislated mandatory for MEPS, as developed in the European context. The paper concludes that negotiated agreements are a viable policy option, which allow flexibility in the implementation of the efficiency targets and therefore the adoption of cost-effective solutions for manufacturers. In addition, negotiated agreements can be implemented more quickly compared to mandatory MEPS and they allow a closer monitoring of the results. The main question asked in the paper is whether the negotiated agreements can deliver the results in the long term compared to what could be achieved through legislation. The European experience indicates that this instrument can deliver the results and that it offer a number of advantages compared to MEPS.

  8. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    District of Columbia" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Constellation NewEnergy, Inc","Investor-owned",3556542,40286,3515507,749,0 2,"Potomac Electric Power Co","Investor-owned",3015764,1733437,1282327,0,0 3,"WGL Energy Services,

  9. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Michigan" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"DTE Electric Company","Investor-owned",41923906,14932840,16790364,10199382,1320 2,"Consumers Energy Co","Investor-owned",33253922,12593983,11045552,9614387,0 3,"Constellation Energy Services,

  10. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Hampshire" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Co of NH","Investor-owned",3799020,2390026,1240068,168926,0 2,"Constellation Energy Services, Inc.","Investor-owned",1008956,3870,1005086,0,0 3,"Constellation NewEnergy,

  11. Industrial end-use forecasting that incorporates DSM and air quality

    SciTech Connect

    Tutt, T.; Flory, J.

    1995-05-01

    The California Energy Commission (CEC) and major enregy utilities in California have generally depended on simple aggregate intensity or economic models to forecast energy use in the process industry sector (which covers large industries employing basic processes to transform raw materials, such as paper mills, glass plants, and cement plants). Two recent trends suggests that the time has come to develop a more disaggregate process industry forecasting model. First, recent efforts to improve air quality, especially by the South Coast Air Quality Management District (SCAQMD), could significantly affect energy use by the process industry by altering the technologies and processes employed in order to reduce emissions. Second, there is a renewed interest in Demand-Side Management (DSM), not only for utility least-cost planning, but also for improving the economic competitiveness and environmental compliance of the pro{minus}cess industries. A disaggregate forecasting model is critical to help the CEC and utilities evaluate both the air quality and DSM impacts on energy use. A crucial obstacle to the development and use of these detailed process industry forecasting models is the lack of good data about disaggregate energy use in the sector. The CEC is nearing completion of a project to begin to overcome this lack of data. The project is testing methds of developing detailed energy use data, collecting an initial database for a large portion of southern California, and providing recommendations and direction for further data collection efforts.

  12. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Rhode Island" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"The Narragansett Electric Co","Investor-owned",5006934,2852069,1901360,253505,0 2,"Direct Energy Business","Investor-owned",589515,0,589515,0,0 3,"Constellation NewEnergy, Inc","Investor-owned",469721,0,296950,149198,23573

  13. U.S. Energy Information Administration (EIA) - Pub

    Gasoline and Diesel Fuel Update

    of Energy, U.S. Energy Information Administration. 6. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Residential Lighting End-Use Consumption...

  14. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Connecticut" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Connecticut Light & Power Co","Investor-owned",8945482,6146224,2365991,367962,65305 2,"Constellation NewEnergy, Inc","Investor-owned",2018823,0,1320397,692814,5612 3,"United Illuminating

  15. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Illinois" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Commonwealth Edison Co","Investor-owned",18061768,9114941,7890441,1056386,0 2,"Constellation Energy Services, Inc.","Investor-owned",10686139,5208659,5477480,0,0 3,"Homefield

  16. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Maine" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"NextEra Energy Power Marketing","Investor-owned",1984446,859679,1082377,42390,0 2,"New Brunswick Power Generation Corp.","Investor-owned",2101006,1963787,58020,79199,0 3,"Electricity Maine,

  17. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Maryland" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Baltimore Gas & Electric Co","Investor-owned",12270475,8927905,3147168,195402,0 2,"WGL Energy Services, Inc.","Investor-owned",7202209,1077458,6124751,0,0 3,"Potomac Electric Power

  18. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Massachusetts" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Massachusetts Electric Co","Investor-owned",10602381,7180002,3013034,409068,277 2,"NSTAR Electric Company","Investor-owned",8805023,5064032,3531796,209195,0 3,"Direct Energy

  19. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Nevada" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Nevada Power Co","Investor-owned",21109027,8922759,4638229,7539740,8299 2,"Sierra Pacific Power Co","Investor-owned",8097075,2268295,2959866,2868914,0 3,"Shell Energy North America (US),

  20. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Jersey" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Public Service Elec & Gas Co","Investor-owned",19571938,11374261,7430854,766823,0 2,"Jersey Central Power & Lt Co","Investor-owned",9957517,7264641,2445207,247669,0 3,"Direct Energy

  1. Microsoft Word - Major end uses front page v2 2015-03-31.docx

    Energy Information Administration (EIA) (indexed site)

    3 APPENDIX B FINAL EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case Presented to: U.S. Energy Information Administration Prepared by Navigant Consulting, Inc. 1200 19 St. NW, Suite 700 Washington, D.C. 20036 With SAIC 8301 Greensboro Drive McLean, VA 22102 March 2014 Final DISCLAIMER This presentation was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency

  2. Refining and end use study of coal liquids. Quarterly report, October--December 1996

    SciTech Connect

    1996-12-31

    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.

  3. Refining and end use study of coal liquids. Quarterly report, October--December 1995

    SciTech Connect

    1995-12-31

    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.

  4. Refining and end use study of coal liquids. Quarterly report, July - September 1996

    SciTech Connect

    1996-12-31

    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.

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

    SciTech Connect

    1996-09-01

    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.

  6. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Delaware" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Delmarva Power","Investor-owned",3604764,2673209,902845,28710,0 2,"Delaware Electric Cooperative","Cooperative",1301698,1060347,241351,0,0 3,"Direct Energy Business","Investor-owned",709072,0,709072,0,0 4,"City of Dover -

  7. Table 3. Top five retailers of electricity, with end use sectors, 2014

    Energy Information Administration (EIA) (indexed site)

    Wyoming" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"PacifiCorp","Investor-owned",9568272,1041412,1503050,7023810,0 2,"Powder River Energy Corp","Cooperative",2640812,221881,891312,1527619,0 3,"Cheyenne Light Fuel & Power Co","Investor-owned",1175006,259090,533610,382306,0

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

    Energy Information Administration (EIA) (indexed site)

    11,"Annual",2015,"6/30/1930" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","ng_cons_sum_dcu_nus_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/ng/ng_cons_sum_dcu_nus_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"10/28/2016

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

    Energy Information Administration (EIA) (indexed site)

    9,"Monthly","8/2016","1/15/1973" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","ng_cons_sum_dcu_nus_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/ng/ng_cons_sum_dcu_nus_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202)

  10. Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand

    SciTech Connect

    Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

    2012-06-01

    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).

  11. Refining and end use study of coal liquids I - pilot plant studies

    SciTech Connect

    Erwin, J.; Moulton, D.S.

    1995-12-31

    The Office of Fossil Energy, Pittsburgh Energy Technology Center is examining the ways in which coal liquids may best be integrated into the refinery of the 2000-2015 time frame and what performance and emission properties will prevail among the slate of fuels produced. The study consists of a Basic Program administered by Bechtel Group, Inc. to build a linear programming refinery model and provide processing and fuel properties data through subcontractors Southwest Research Institute, Amoco Oil R&D, and M.W. Kellogg Company. The model will be used in an Option 1 to devise a slate of test fuels meeting advanced specifications, which will be produced and tested for physical ASTM-type properties, engine performance, and vehicle emissions. Three coal liquids will be included: a direct liquid from bituminous coal, another from subbituminous, and a Fischer-Tropsch indirect liquefaction product. This paper reports the work to date on fractions of the first direct liquid including naphtha hydrotreating, heavy distillate hydrotreating, FCC of the heavy distillate hydrotreater products. Also reported are the first stages of work on the indirect liquefaction wax including feed preparation and FCC tests of blends with petroleum FCC feed.

  12. Renewable Electricity Futures Study. Volume 3. End-Use Electricity Demand

    SciTech Connect

    Hostick, Donna; Belzer, David B.; Hadley, Stanton W.; Markel, Tony; Marnay, Chris; Kintner-Meyer, Michael

    2012-06-15

    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). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

  13. Energy Information Administration (EIA)- Commercial Buildings...

    Energy Information Administration (EIA) (indexed site)

    ... of buildings and floorspace PDF XLS Energy sources and end uses Preliminary release date: April 30, 2015 Release date: May 20, 2016 Energy sources and end uses (Tables B22-B33) ...

  14. Energy Information Administration (EIA)- Commercial Buildings...

    Annual Energy Outlook

    | Previous Building Characteristics Consumption & Expenditures Microdata Methodology ... of buildings and floorspace PDF XLS Energy sources and end uses Preliminary release ...

  15. Commercial Buildings Energy Consumption and Expenditures 1992

    Energy Information Administration (EIA) (indexed site)

    Distribution Category UC-950 Commercial Buildings Energy Consumption and Expenditures 1992 April 1995 Energy Information Adminstration Office of Energy Markets and End Use U.S....

  16. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

    Gasoline and Diesel Fuel Update

    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 ...

  17. Historical Monthly Energy Review

    Annual Energy Outlook

    73-92) Distribution Category UC-950 Historical Monthly Energy Review 1973-1992 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

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

    SciTech Connect

    Letschert, Virginie; McNeil, Michael A.

    2008-05-13

    giants', a phenomenon that is expected to continue, accelerate and spread to other countries. This paper explores the potential for slowing energy consumption and greenhouse gas emissions in the residential sector in developing countries and evaluates the potential of energy savings and emissions mitigation through market transformation programs such as, but not limited to Energy Efficiency Standards and Labeling (EES&L). The bottom-up methodology used allows one to identify which end uses and regions have the greatest potential for savings.

  19. The examination of pretreatment and end use technologies for dirty fuels produced from coal gasification, coal pyrolysis, oil shale processing, and heavy oil recovery: Final technology status report

    SciTech Connect

    Raden, D.P.; Page, G.C.

    1987-01-01

    The objective of this study was to identify pretreatment (upgrading) and end use technologies which: (1) reduce environmental, health and safety impacts, (2) reduce pollution control costs, or (3) reduce upgrading costs of ''dirty fuels'' while producing higher value energy products. A comprehensive list of technologies was developed for upgrading the various dirty fuels to higher value and products. Fifty-two process flow concepts were examined and from these four process flow concepts were chosen for further development. These are: heavy oil recovery and in situ hydrotreating; wet air oxidation in a downhole reactor; total raw gas shift; and high density fuels via vacuum devolatilization. Each of these four process flow concepts described exhibit the potential for reducing environmental, health and safety impacts and/or pollution control costs. In addition these concepts utilize dirty fuels to produce an upgraded or higher value energy product. These concepts should be developed and evaluated in greater detail to assess their technical and economical viability. Therefore, it is recommended that a program plan be formulated and a proof-of-concept research program be performed for each process concept. 3 refs., 5 figs., 11 tabs.

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

    SciTech Connect

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

    1991-11-01

    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.

  1. Peru-GEF Nationally Appropriate Mitigation Actions in the Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    (Redirected from UNDP-Peru GEF Nationally Appropriate Mitigation Actions in the Energy Generation and End-Use Sectors)...

  2. Assessment of Energy Use in Multibuilding Facilities

    Energy Information Administration (EIA) (indexed site)

    CBECS asked for district steam or district hot water piped into the building. Source: Energy Information Administration, Office of Energy Markets and End Use, 1979, 1983, 1986 and...

  3. Buildings and Energy in the 1980s

    Energy Information Administration (EIA) (indexed site)

    Air Conditioning: See Energy End Use, Cooling. Authorization Form: A form signed by the respondent authorizing energy supplier companies that serve the building to release...

  4. Monthly Energy Review - March 2010

    Annual Energy Outlook

    March 31, 2010 DOEEIA-0035(201003) Monthly Energy Review March 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  5. Monthly Energy Review - May 2010

    Annual Energy Outlook

    May 27, 2010 DOEEIA-0035(201005) Monthly Energy Review May 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington,...

  6. Monthly Energy Review - April 2010

    Annual Energy Outlook

    April 30, 2010 DOEEIA-0035(201004) Monthly Energy Review April 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  7. Monthly Energy Review - May 2010

    Annual Energy Outlook

    June 30, 2010 DOEEIA-0035(201006) Monthly Energy Review June 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  8. Monthly Energy Review - July 2010

    Annual Energy Outlook

    July 30, 2010 DOEEIA-0035(201007) Monthly Energy Review July 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  9. Monthly Energy Review - February 2010

    Annual Energy Outlook

    February 26, 2010 DOEEIA-0035(201002) Monthly Energy Review February 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  10. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014.

  11. 2014-04-30 Public Meeting Agenda: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Energy.gov [DOE]

    This document is the agenda for the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting being held on April 30, 2014.

  12. Agenda for Public Meeting on the Physical Characterization of Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Energy.gov [DOE]

    Download the agenda below for the July 11 Public Meeting on the Physical Characterization of Grid-Connected Commercial and  Residential Buildings End-Use Equipment and Appliances.

  13. Methodology for Modeling Building Energy Performance across the Commercial Sector

    SciTech Connect

    Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

    2008-03-01

    This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

  14. Industrial sector energy consumption

    Annual Energy Outlook

    Chapter 7 Industrial sector energy consumption Overview The industrial sector uses more delivered energy 294 than any other end-use sector, consuming about 54% of the world's total ...

  15. Manufacturing Consumption of Energy 1994

    Energy Information Administration (EIA) (indexed site)

    2(94) Distribution Category UC-950 Manufacturing Consumption of Energy 1994 December 1997 Energy Information Administration Office of Energy Markets and End Use U.S. Department of...

  16. Energy Intensity Indicators: Overview of Concepts | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Overview of Concepts Energy Intensity Indicators: Overview of Concepts The Energy Intensity Indicators website reports changes in energy intensity in the United States since 1970. The website discusses, and presents data for, energy intensity trends by major end-use sectors, associated subsector for the economy as whole (economywide). Following the conventions used by the Department of Energy's Energy Information Administration, the four major end-use sectors are 1) residential, 2) commercial,

  17. Manufacturing consumption of energy 1991

    SciTech Connect

    Not Available

    1994-12-01

    This report provides estimates on energy consumption in the manufacturing sector of the US economy. These estimates are based on data from the 1991 Manufacturing Energy Consumption Survey (MECS). This survey--administered by the Energy End Use and Integrated Statistics Division, Office of Energy Markets and End Use, Energy Information Administration (EIA)--is the most comprehensive source of national-level data on energy-related information for the manufacturing industries.

  18. Energy Use in China: Sectoral Trends and Future Outlook

    SciTech Connect

    Zhou, Nan; McNeil, Michael A.; Fridley, David; Lin, Jiang; Price,Lynn; de la Rue du Can, Stephane; Sathaye, Jayant; Levine, Mark

    2007-10-04

    This report provides a detailed, bottom-up analysis ofenergy consumption in China. It recalibrates official Chinese governmentstatistics by reallocating primary energy into categories more commonlyused in international comparisons. It also provides an analysis of trendsin sectoral energy consumption over the past decades. Finally, itassesses the future outlook for the critical period extending to 2020,based on assumptions of likely patterns of economic activity,availability of energy services, and energy intensities. The followingare some highlights of the study's findings: * A reallocation of sectorenergy consumption from the 2000 official Chinese government statisticsfinds that: * Buildings account for 25 percent of primary energy, insteadof 19 percent * Industry accounts for 61 percent of energy instead of 69percent * Industrial energy made a large and unexpected leap between2000-2005, growing by an astonishing 50 percent in the 3 years between2002 and 2005. * Energy consumption in the iron and steel industry was 40percent higher than predicted * Energy consumption in the cement industrywas 54 percent higher than predicted * Overall energy intensity in theindustrial sector grew between 2000 and 2003. This is largely due tointernal shifts towards the most energy-intensive sub-sectors, an effectwhich more than counterbalances the impact of efficiency increases. *Industry accounted for 63 percent of total primary energy consumption in2005 - it is expected to continue to dominate energy consumption through2020, dropping only to 60 percent by that year. * Even assuming thatgrowth rates in 2005-2020 will return to the levels of 2000-2003,industrial energy will grow from 42 EJ in 2005 to 72 EJ in 2020. * Thepercentage of transport energy used to carry passengers (instead offreight) will double from 37 percent to 52 percent between 2000 to 2020,.Much of this increase is due to private car ownership, which willincrease by a factor of 15 from 5.1 million in 2000 to 77

  19. Energy Intensity Changes by Sector, 1985-2011 - Alternative Measures...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Source energy attributes all the energy used for electricity generation and transmission to the specific end-use sector, addition to the direct consumption of electricity and ...

  20. ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy...

    Energy Information Administration (EIA) (indexed site)

    A. Fuel Oil Consumption (Btu) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (trillion Btu)",,,,,"Fuel Oil Energy Intensity (thousand Btu...

  1. Buildings and Energy in the 80's -- Overview

    Energy Information Administration (EIA) (indexed site)

    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...

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

    Energy Information Administration (EIA) (indexed site)

    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...

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

    Energy Information Administration (EIA) (indexed site)

    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...

  4. Energy Footprint Tool

    Office of Energy Efficiency and Renewable Energy (EERE)

    Developed by the U.S. Department of Energy, the Energy Footprint Tool can help manufacturing, commercial and institutional facilities to track their energy consumption, factors related to energy use, and significant energy end-use. This is collectively referred to as the facility’s energy footprint.

  5. NREL: Energy Analysis - dGen: Distributed Generation Market Demand Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Distributed Generation Market Demand (dGen) model is a geospatially rich, bottom-up, market-penetration model that simulates the potential adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the continental United States through 2050. The dGen model builds on and provides significant advances over NREL's deprecated Solar Deployment System (SolarDS) model. The dGen model can help develop deployment forecasts for distributed resources,

  6. Table 10.7 Solar Thermal Collector Shipments by Market Sector, End Use, and Type, 2001-2009 (Thousand Square Feet)

    Energy Information Administration (EIA) (indexed site)

    Solar Thermal Collector Shipments by Market Sector, End Use, and Type, 2001-2009 (Thousand Square Feet) Year and Type By Market Sector By End Use Total Residential Commercial 1 Industrial 2 Electric Power 3 Other 4 Pool Heating Water Heating Space Heating Space Cooling Combined Heating 5 Process Heating Electricity Generation Total Shipments 6<//td> 2001 Total 10,125 1,012 17 1 35 10,797 274 70 0 12 34 2 11,189 Low 7 9,885 987 12 0 34 10,782 42 61 0 0 34 0 10,919 Medium 8 240 24 5 0 1 16

  7. Energy Efficiency Program Impact Evaluation Guide

    Energy.gov [DOE]

    This Energy Efficiency Program Impact Evaluation Guide describes and provides guidance on approaches for determining and documenting energy and non-energy benefits resulting from end-use energy efficiency programs and portfolios of programs.

  8. U.S. Renewable Energy Policy and Industry

    SciTech Connect

    Zhou, Ella

    2015-10-01

    From 2005 to 2014, wind and solar power generation has seen an almost tenfold increase in the United States. Such rapid development is the result of a variety of federal and state, top-down and bottom-up drivers, as well as the macro-environment of cost-reduction globally and early adoption in Europe. This presentation, prepared for a meeting with China National Renewable Energy Center and National Energy Administration (of China), is a summary of some of the key drivers for renewable energy deployment in the United States.

  9. China Energy and Emissions Paths to 2030

    SciTech Connect

    Fridley, David; Zheng, Nina; Zhou, Nan; Ke, Jing; Hasanbeigi, Ali; Morrow, Bill; Price, Lynn

    2011-01-14

    After over two decades of staggering economic growth and soaring energy demand, China has started taking serious actions to reduce its economic energy and carbon intensity by setting short and medium-term intensity reduction targets, renewable generation targets and various supporting policies and programs. In better understanding how further policies and actions can be taken to shape China's future energy and emissions trajectory, it is important to first identify where the largest opportunities for efficiency gains and emission reduction lie from sectoral and end-use perspectives. Besides contextualizing China's progress towards reaching the highest possible efficiency levels through the adoption of the most advanced technologies from a bottom-up perspective, the actual economic costs and benefits of adopting efficiency measures are also assessed in this study. This study presents two modeling methodologies that evaluate both the technical and economic potential of raising China's efficiency levels to the technical maximum across sectors and the subsequent carbon and energy emission implications through 2030. The technical savings potential by efficiency measure and remaining gap for improvements are identified by comparing a reference scenario in which China continues the current pace of with a Max Tech scenario in which the highest technically feasible efficiencies and advanced technologies are adopted irrespective of costs. In addition, from an economic perspective, a cost analysis of selected measures in the key industries of cement and iron and steel help quantify the actual costs and benefits of achieving the highest efficiency levels through the development of cost of conserved energy curves for the sectors. The results of this study show that total annual energy savings potential of over one billion tonne of coal equivalent exists beyond the expected reference pathway under Max Tech pathway in 2030. CO2 emissions will also peak earlier under Max Tech

  10. Quadrennial Energy Review - Second Installment Electricity: Generation...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    - Second Installment Electricity: Generation to End-Use Stakeholder Meeting Number 3: ... ancillary service, day-ahead energy, and unit commitment markets while becoming the balancing ...

  11. Tax Credits, Rebates & Savings | Department of Energy

    Energy.gov [DOE] (indexed site)

    end-use customers. This information must be provided to customers quarterly "in plain English." Electricity suppliers must also file a copy of their energy source disclosure...

  12. National Energy Efficiency Evaluation, Measurement and Verification (EM&V) Standard: Scoping Study of Issues and Implementation Requirements

    SciTech Connect

    Schiller Consulting, Inc.; Schiller, Steven R.; Goldman, Charles A.; Galawish, Elsia

    2011-02-04

    This report is a scoping study that identifies issues associated with developing a national evaluation, measurement and verification (EM&V) standard for end-use, non-transportation, energy efficiency activities. The objectives of this study are to identify the scope of such a standard and define EM&V requirements and issues that will need to be addressed in a standard. To explore these issues, we provide and discuss: (1) a set of definitions applicable to an EM&V standard; (2) a literature review of existing guidelines, standards, and 'initiatives' relating to EM&V standards as well as a review of 'bottom-up' versus 'top-down' evaluation approaches; (3) a summary of EM&V related provisions of two recent federal legislative proposals (Congressman Waxman's and Markey's American Clean Energy and Security Act of 2009 and Senator Bingaman's American Clean Energy Leadership Act of 2009) that include national efficiency resource requirements; (4) an annotated list of issues that that are likely to be central to, and need to be considered when, developing a national EM&V standard; and (5) a discussion of the implications of such issues. There are three primary reasons for developing a national efficiency EM&V standard. First, some policy makers, regulators and practitioners believe that a national standard would streamline EM&V implementation, reduce costs and complexity, and improve comparability of results across jurisdictions; although there are benefits associated with each jurisdiction setting its own EM&V requirements based on their specific portfolio and evaluation budgets and objectives. Secondly, if energy efficiency is determined by the US Environmental Protection Agency to be a Best Available Control Technology (BACT) for avoiding criteria pollutant and/or greenhouse gas emissions, then a standard can be required for documenting the emission reductions resulting from efficiency actions. The third reason for a national EM&V standard is that such a standard is

  13. Bottom-up, decision support system development : a wetlandsalinity management application in California's San Joaquin Valley

    SciTech Connect

    Quinn, Nigel W.T.

    2006-05-10

    Seasonally managed wetlands in the Grasslands Basin ofCalifornia's San Joaquin Valley provide food and shelter for migratorywildfowl during winter months and sport for waterfowl hunters during theannual duck season. Surface water supply to these wetland contain saltwhich, when drained to the San Joaquin River during the annual drawdownperiod, negatively impacts downstream agricultural riparian waterdiverters. Recent environmental regulation, limiting discharges salinityto the San Joaquin River and primarily targeting agricultural non-pointsources, now addresses return flows from seasonally managed wetlands.Real-time water quality management has been advocated as a means ofmatching wetland return flows to the assimilative capacity of the SanJoaquin River. Past attempts to build environmental monitoring anddecision support systems to implement this concept have failed forreasons that are discussed in this paper. These reasons are discussed inthe context of more general challenges facing the successfulimplementation of environmental monitoring, modelling and decisionsupport systems. The paper then provides details of a current researchand development project which will ultimately provide wetland managerswith the means of matching salt exports with the available assimilativecapacity of the San Joaquin River, when fully implemented. Manipulationof the traditional wetland drawdown comes at a potential cost to thesustainability of optimal wetland moist soil plant habitat in thesewetlands - hence the project provides appropriate data and a feedback andresponse mechanism for wetland managers to balance improvements to SanJoaquin River quality with internally-generated information on the healthof the wetland resource. The author concludes the paper by arguing thatthe architecture of the current project decision support system, whencoupled with recent advances in environmental data acquisition, dataprocessing and information dissemination technology, holds significantpromise to address some of the problems described earlier in the paperthat have limited past efforts to improve Basin water qualitymanagement.

  14. The Bottom-Up Approach forThermoelectric Nanocomposites, plusƒ...

    Energy.gov [DOE] (indexed site)

    More Documents & Publications Innovative Nano-structuring Routes for Novel Thermoelectric Materials;Phonon Blocking & DOS Engineering Challenges and Opportunities in Thermoelectric ...

  15. A new class of high ZT doped bulk nanothermoelectrics through bottom-up synthesis

    Energy.gov [DOE]

    Reports on synthesis of large quantities of p- and n-type nanocrystals then sintered into bulk samples with high power factors and low thermal conductivity through impurity doping and nanostructuring

  16. Estimates of U.S. Commercial Building Electricity Intensity Trends: Issues Related to End-Use and Supply Surveys

    SciTech Connect

    Belzer, David B.

    2004-09-04

    This report examines measurement issues related to the amount of electricity used by the commercial sector in the U.S. and the implications for historical trends of commercial building electricity intensity (kWh/sq. ft. of floor space). The report compares two (Energy Information Administration) sources of data related to commercial buildings: the Commercial Building Energy Consumption Survey (CBECS) and the reporting by utilities of sales to commercial customers (survey Form-861). Over past two decades these sources suggest significantly different trend rates of growth of electricity intensity, with the supply (utility)-based estimate growing much faster than that based only upon the CBECS. The report undertakes various data adjustments in an attempt to rationalize the differences between these two sources. These adjustments deal with: 1) periodic reclassifications of industrial vs. commercial electricity usage at the state level and 2) the amount of electricity used by non-enclosed equipment (non-building use) that is classified as commercial electricity sales. In part, after applying these adjustments, there is a good correspondence between the two sources over the the past four CBECS (beginning with 1992). However, as yet, there is no satisfactory explanation of the differences between the two sources for longer periods that include the 1980s.

  17. April 30 Public Meeting: Physical Characterization of Smart and Grid-Connected Commercial and Residential Building End-Use Equipment and Appliances

    Energy.gov [DOE]

    These documents contain slide decks presented at the Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances public meeting held on April 30, 2014. The first document includes the first presentation from the meeting: DOE Vision and Objectives. The second document includes all other presentations from the meeting: Terminology and Definitions; End-User and Grid Services; Physical Characterization Framework; Value, Benefits & Metrics.

  18. Buildings and Energy in the 1980s

    Energy Information Administration (EIA) (indexed site)

    Energy Sources and End Uses Energy is an important but often unnoticed contributor to the high levels of productivity and quality of life enjoyed by U.S. residents. Energy is used...

  19. Hydrogen Fuel Cell Basics | Department of Energy

    Energy.gov [DOE] (indexed site)

    is a versatile energy carrier that can be used to power nearly every end-use energy need. The fuel cell-an energy conversion device that can efficiently capture and use the power ...

  20. Buildings Energy Data Book

    Buildings Energy Data Book

    Most Popular Tables PDFXLS 1.1.1 U.S. Residential and Commercial Buildings Total Primary Energy Consumption PDFXLS 3.1.4 2010 Commercial Energy End-Use Splits, by Fuel Type PDFXLS 1.1.3 Buildings Share of U.S. Primary Energy Consumption PDFXLS 3.1.1 Commercial Primary Energy Consumption, by Year and Fuel Type PDFXLS 2.1.1 Residential Primary Energy Consumption, by Year and Fuel Type PDFXLS 3.1.5 2015 Commercial Energy End-Use Splits, by Fuel Type PDFXLS 3.2.1 Total Commercial Floorspace and

  1. Household energy consumption and expenditures, 1987

    SciTech Connect

    Not Available

    1989-10-10

    Household Energy Consumption and Expenditures 1987, Part 1: National Data is the second publication in a series from the 1987 Residential Energy Consumption Survey (RECS). It is prepared by the Energy End Use Division (EEUD) of the Office of Energy Markets and End Use (EMEU), Energy Information Administration (EIA). The EIA collects and publishes comprehensive data on energy consumption in occupied housing units in the residential sector through the RECS. 15 figs., 50 tabs.

  2. Static Sankey Diagram of Process Energy in U.S. Manufacturing...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    energy consumption across manufacturing subsectors. The Process Energy diagram below shows inputs of steam, electricity, and fuel to "process" end uses in the U.S. manufacturing ...

  3. U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis...

    Energy Saver

    energy from supply (fuel, electricity, and steam) to major end-use applications in U.S. manufacturing. ... Information Administration's Manufacturing Energy Consumption Survey. ...

  4. Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency ...

  5. Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion ...

  6. Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2 - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion ...

  7. Manufacturing Energy and Carbon Footprints (2010 MECS) | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Manufacturing Energy and Carbon Footprints (2010 MECS) Manufacturing Energy and Carbon Footprints (2010 MECS) Energy and carbon footprints map energy use and carbon emissions in manufacturing from energy supply to end use. The footprints show where energy is used and lost-and the associated greenhouse gases (GHGs) that are emitted. Each footprint visualizes the flow of energy (in the form of fuel, electricity, or steam) to major end uses in manufacturing, including boilers, power

  8. U.S. Energy Information Administration (EIA) - Ap

    Energy Information Administration (EIA) (indexed site)

    cost of fossil-fuels for electricity generation All consumption & efficiency data reports ... Residential Energy Consumption Survey Household end use consumption of ...

  9. Report Highlights Significant Energy Savings Potential for Commercial...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ... Appliances used in commercial buildings for cooking, cleaning, water heating, and other end-uses account for nearly 22 percent of annual commercial building primary energy usage. ...

  10. Fuel Mix and Emissions Disclosure | Department of Energy

    Energy.gov [DOE] (indexed site)

    end-use customers. This information must be provided to customers quarterly "in plain English." Electricity suppliers must also file a copy of their energy source disclosure...

  11. Assumption to the Annual Energy Outlook 2014 - Commercial Demand...

    Annual Energy Outlook

    chosen to meet the projected service demands for the seven major end uses. Once technologies are chosen, the energy consumed by the equipment stock (both existing and purchased...

  12. CX-014275: Categorical Exclusion Determination | Department of Energy

    Office of Environmental Management (EM)

    275: Categorical Exclusion Determination CX-014275: Categorical Exclusion Determination Reconciling Basin-Scale Top-Down and Bottom-Up Methane Emission Measurements... CX(s) Applied: A9, B3.1 Date: 08/27/2015 Location(s): Colorado Offices(s): National Energy Technology Laboratory Researchers will conduct aerial and ground-based measurements of methane emissions and perform analysis on samples taken. Document(s) Available for Download CX-014275.pdf (152.82 KB) More Documents & Publications

  13. Energy Intensity Indicators: Coverage | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Coverage Energy Intensity Indicators: Coverage This system of energy intensity indicators for total energy covers the economy as a whole and each of the major end-use sectors-transportation, industry, commercial, and residential, as well as the electric power sector. These sectors are shown in Figure 1. More detail for some of these sectors can be obtained by accessing the file "End-Use Sector Flowchart" below Figure 1. Five boxes are shown connected by lines. At the top of a vertical

  14. Scenarios of energy demand and efficiency potential for Bulgaria

    SciTech Connect

    Tzvetanov, P.; Ruicheva, M.; Denisiev, M.

    1996-12-31

    The paper presents aggregated results on macroeconomic and final energy demand scenarios developed within the Bulgarian Country Study on Greenhouse Gas Emissions Mitigation, supported by US Country Studies Program. The studies in this area cover 5 main stages: (1) {open_quotes}Baseline{close_quotes} and {open_quotes}Energy Efficiency{close_quotes} socioeconomic and energy policy philosophy; (2) Modeling of macroeconomic and sectoral development till 2020; (3) Expert assessments on the technological options for energy efficiency increase and GHG mitigation in the Production, Transport and Households and Services Sectors; (4) Bottom-up modeling of final energy demand; and (5) Sectoral and overall energy efficiency potential and policy. Within the Bulgarian Country Study, the presented results have served as a basis for the final integration stage {open_quotes}Assessment of the Mitigation Policy and Measures in the Energy System of Bulgaria{close_quotes}.

  15. Buildings and Energy in the 1980's

    Energy Information Administration (EIA) (indexed site)

    sum to totals. * See "Glossary" for definition of terms used in this report. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-457 of the...

  16. Energy Signal Tool for Decision Support in Building Energy Systems...

    Office of Scientific and Technical Information (OSTI)

    different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing...

  17. Manufacturing Consumption of Energy 1994

    Energy Information Administration (EIA) (indexed site)

    A9. Total Inputs of Energy for Heat, Power, and Electricity Generation by Fuel Type, Census Region, and End Use, 1994: Part 1 (Estimates in Btu or Physical Units) See footnotes at...

  18. U.S. Energy Information Administration (EIA) - Pub

    Annual Energy Outlook

    Increasing energy efficiency reduces the energy intensity of many residential end uses between 2013 and 2040. Total energy consumption for space heating is 4.2 quadrillion Btu in ...

  19. Towards increased policy relevance in energy modeling

    SciTech Connect

    Worrell, Ernst; Ramesohl, Stephan; Boyd, Gale

    2003-07-29

    Historically, most energy models were reasonably equipped to assess the impact of a subsidy or change in taxation, but are often insufficient to assess the impact of more innovative policy instruments. We evaluate the models used to assess future energy use, focusing on industrial energy use. We explore approaches to engineering-economic analysis that could help improve the realism and policy relevance of engineering-economic modeling frameworks. We also explore solutions to strengthen the policy usefulness of engineering-economic analysis that can be built from a framework of multi-disciplinary cooperation. We focus on the so-called ''engineering-economic'' (or ''bottom-up'') models, as they include the amount of detail that is commonly needed to model policy scenarios. We identify research priorities for the modeling framework, technology representation in models, policy evaluation and modeling of decision-making behavior.

  20. International energy outlook 2006

    SciTech Connect

    2006-06-15

    This report presents international energy projections through 2030, prepared by the Energy Information Administration. After a chapter entitled 'Highlights', the report begins with a review of world energy and economic outlook, followed by energy consumption by end-use sector. The next chapter is on world oil markets. Natural gas, world coal market and electricity consumption and supply are then discussed. The final chapter covers energy-related carbon dioxide emissions.

  1. Energy Footprint Tool with Sample Data

    Energy.gov [DOE]

    Developed by the U.S. Department of Energy, the Energy Footprint Tool can help manufacturing, commercial and institutional facilities to track their energy consumption, factors related to energy use, and significant energy end-use. This is collectively referred to as the facility’s energy footprint.

  2. "Table B29. Primary Space-Heating Energy Sources, Total Floorspace...

    Energy Information Administration (EIA) (indexed site)

    ... ......",2853,2734,"Q",339,"Q",2165 "Propane ......",7076,6790,1323,1947,930,"Q" "Other ......",1401,1399,"Q",713,"Q","Q" "Energy End Uses ...

  3. ENERGY

    Energy.gov [DOE] (indexed site)

    U.S. Department of ENERGY Department of Energy Quadrennial Technology Review-2015 Framing Document http:energy.govqtr 2015-01-13 Page 2 The United States faces serious ...

  4. Energy

    Office of Legacy Management (LM)

    Energy Washington; DC 20585 : . ' , - o" ' ' ,' DEC ?; ;y4,,, ' . The Honorable ... Dear,Mayor 'Kalwitz: " . " Secretary of Energy Hazel' O'Leary has announceha new,approach ...

  5. A perspective on the states` role in the Department of Energy`s Office of Environmental Management budget process

    SciTech Connect

    Carter, J.P.; Hinman, P.

    1995-12-31

    Responding in 1994 to proposed budget reductions and predicted funding shortfalls, the Office of Environmental Management at the Department of Energy began working closely with its regulators and stakeholders to prioritize activities. In a series of national and site specific meetings held with representatives of states, the Environmental Protection Agency, Indian tribes and the public, the Department of Energy brought regulators and other stakeholders into its budget development process in a {open_quotes}bottoms up{close_quotes} approach to the prioritization of activities at each of its sites. This paper presents an overview of this process which began last year and will highlight its unique cooperative nature. This paper will assess ways of institutionalizing this process. It also identifies issues to be addressed in resolving matters related to future budgets. Areas of concern to the Department of Energy`s host states and their regulators will be identified as they relate to waste management, cleanup and facility transition activities.

  6. Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Energy National security depends on science and technology. The United States relies on Los Alamos National Laboratory for the best of both. No place on Earth pursues a broader array of world-class scientific endeavors. Energy Overview Charlie McMillan, Director of Los Alamos National Laboratory 0:50 Director McMillan on energy security With energy use increasing across the nation and the world, Los Alamos National Laboratory is using its world-class scientific capabilities to enhance

  7. Buildings and Energy in the 1980's (TABLES)

    Energy Information Administration (EIA) (indexed site)

    sum to totals. * See "Glossary" for definition of terms used in this report. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-788 of the...

  8. Healthcare Energy: Massachusetts General Hospital Gray Building

    Energy.gov [DOE]

    The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. This page contains highlights from monitoring at the Gray Building at Massachusetts General Hospital.

  9. Estimate of Cost-Effective Potential for Minimum Efficiency Performance Standards in 13 Major World Economies Energy Savings, Environmental and Financial Impacts

    SciTech Connect

    Letschert, Virginie E.; Bojda, Nicholas; Ke, Jing; McNeil, Michael A.

    2012-07-01

    This study analyzes the financial impacts on consumers of minimum efficiency performance standards (MEPS) for appliances that could be implemented in 13 major economies around the world. We use the Bottom-Up Energy Analysis System (BUENAS), developed at Lawrence Berkeley National Laboratory (LBNL), to analyze various appliance efficiency target levels to estimate the net present value (NPV) of policies designed to provide maximum energy savings while not penalizing consumers financially. These policies constitute what we call the “cost-effective potential” (CEP) scenario. The CEP scenario is designed to answer the question: How high can we raise the efficiency bar in mandatory programs while still saving consumers money?

  10. Enzyme Design From the Bottom Up: An Active Nickel Electrocatalyst with a Structured Peptide Outer Coordination Sphere

    SciTech Connect

    Reback, Matthew L.; Buchko, Garry W.; Kier, Brandon L.; Ginovska-Pangovska, Bojana; Xiong, Yijia; Lense, Sheri; Hou, Jianbo; Roberts, John A.; Sorensen, Christina M.; Raugei, Simone; Squier, Thomas C.; Shaw, Wendy J.

    2014-02-03

    Functional, peptide-containing metal complexes with a well-defined peptide structure have the potential to enhance molecular catalysts via an enzyme-like outer coordination sphere. Here, we report the synthesis and characterization of an active, peptide-based metal complex built upon the well characterized hydrogen production catalyst, Ni(PPh2NPh)2. The incorporated peptide maintains its B-hairpin structure when appended to the metal core, and the electrocatalytic activity of the peptide-based metal complex (~100,000 s-1) is fully retained. The combination of an active molecular catalyst with a structured peptide outer coordination sphere provides a scaffold that permits the incorporation of features of an enzyme-like outer-coordination sphere necessary to create molecular electrocatalysts with en-hanced functionality.

  11. International Energy Outlook 2016-Industrial sector energy consumption -

    Gasoline and Diesel Fuel Update

    Energy Information Administration 7. Industrial sector energy consumption print version Overview The industrial sector uses more delivered energy [294] than any other end-use sector, consuming about 54% of the world's total delivered energy. The industrial sector can be categorized by three distinct industry types: energy-intensive manufacturing, nonenergy-intensive manufacturing, and nonmanufacturing (Table 7-1). The mix and intensity of fuels consumed in the industrial sector vary across

  12. High-Energy Permanent Magnets for Hybrid Vehicles and Alternative Energy Uses

    SciTech Connect

    Hadjipanayis, George C.; McCallum, William R.; Sellmyer, David J.; Harris, Vincent; Carpenter, Everett E.; Liu, Jinfang

    2013-12-17

    The report summarizes research undertaken by a multidisciplinary team aimed at the development of the next generation high-energy permanent magnets. The principal approach was relied on bottom-up fabrication of anisotropic nanocomposite magnets. Our efforts resulted in further development of the theoretical concept and fabrication principles for the nanocomposites and in synthesis of a range of rare-earth-based hard magnetic nanoparticles. Even though we did not make a breakthrough in the assembly of these hard magnetic particles with separately prepared Fe(Co) nanoparticles and did not obtain a compact nanocomposite magnet, our performed research will help to direct the future efforts, in particular, towards nano-assembly via coating, when the two phases which made the nanocomposite are first organized in core-shell-structured particles. Two other approaches were to synthesize (discover) new materials for the traditional singe-material magnets and the nanocomposite magnets. Integrated theoretical and experimental efforts lead to a significant advance in nanocluster synthesis technique and yielded novel rare-earth-free nanostructured and nanocomposite materials. Examination of fifteen R-Fe-X alloy systems (R = rare earth), which have not been explored earlier due to various synthesis difficulties reveal several new ferromagnetic compounds. The research has made major progress in bottom-up manufacturing of rare-earth-containing nanocomposite magnets with superior energy density and open new directions in development of higher-energy-density magnets that do not contain rare earths. The advance in the scientific knowledge and technology made in the course of the project has been reported in 50 peer-reviewed journal articles and numerous presentations at scientific meetings.

  13. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Reference case projections by end-use sector and country grouping Table F9. Delivered energy consumption in Australia... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Electricity 0.2 0.3 0.3 ...

  14. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update

    Appendix F Table F16. Delivered energy consumption in the Middle East by end-use sector and fuel, ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Electricity 1.1 1.3 1.5 1.6 1.7 1.9 2.0 ...

  15. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Table F12. Delivered energy consumption in Other Non-OECD Europe and Eurasia by end-use sector and fuel, 2010-2040 ... Coal 0.1 0.1 0.1 0.1 0.1 0.1 0.1 -1.4 Electricity 0.5 0.5 0.6 0.7 ...

  16. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Reference case projections by end-use sector and country grouping Table F19. Delivered energy consumption in Other ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Electricity 0.5 0.6 0.6 ...

  17. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Reference case projections by end-use sector and country grouping Table F5. Delivered energy consumption in Mexico and ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.2 Electricity 0.2 0.3 ...

  18. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Reference case projections by end-use sector and country grouping Table F15. Delivered energy consumption in Other ... Coal 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.4 Electricity 1.1 1.3 1.5 ...

  19. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Reference case projections by end-use sector and country grouping Table F3. Delivered energy consumption in the United ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -1.6 Electricity 4.9 4.7 ...

  20. Current and future industrial energy service characterizations

    SciTech Connect

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

    1980-10-01

    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.

  1. The Global Energy Challenge

    ScienceCinema

    Crabtree, George

    2016-07-12

    The expected doubling of global energy demand by 2050 challenges our traditional patterns of energy production, distribution and use.   The continued use of fossil fuels raises concerns about supply, security, environment and climate.  New routes are needed for the efficient conversion of energy from chemical fuel, sunlight, and heat to electricity or hydrogen as an energy carrier and finally to end uses like transportation, lighting, and heating. Opportunities for efficient new energy conversion routes based on nanoscale materials will be presented, with emphasis on the sustainable energy technologies they enable.

  2. Energy

    Annual Energy Outlook

    M onthly Energy Re< view Ila A a m 0 II 8 IIIW *g U In this issue: New data on nuclear electricity in Eastern Europe (Table 10.4) 9'Ij a - Ordering Information This publication...

  3. Motor Energy Savings Potential Report | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Motor Energy Savings Potential Report Motor Energy Savings Potential Report This report describes the current state of motor technology and estimates opportunities for energy savings through application of more advanced technologies in a variety of residential and commercial end uses. The objectives of this report were to characterize the state and type of motor technologies used in residential and commercial appliances and equipment and to identify opportunities to reduce the energy consumption

  4. Healthcare Energy: Spotlight on Medical Equipment | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Medical Equipment Healthcare Energy: Spotlight on Medical Equipment The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. Additional plug load data from medical office buildings were provided by Mazzetti, Inc. See below for a few highlights from monitoring large medical imaging equipment and medical office building plug loads. Graphic showing the average weekday energy use of a CT machine. Graph showing average weekday energy

  5. Energy Efficient Digital Networks

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Efficient Digital Networks Rich Brown Lawrence Berkeley National Laboratory Presentation to DOE State Energy Advisory Board Meeting August 14, 2007 REBrown@LBL.gov - efficientnetworks.LBL.gov Overview * Background on Electronics and Digital Networks * LBNL Project: "Energy Efficient Digital Networks * Future Directions Electronics and Networks * Electronics are an end-use of electricity -"Devices whose primary function is Information (obtain, store, manage, present)" -Includes

  6. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect

    Macumber, D.

    2012-10-01

    Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

  7. SUSTAINABLE DEVELOPMENT IN KAZAKHASTAN: USING OIL AND GAS PRODUCTION BY-PRODUCT SULFUR FOR COST-EFFECTIVE SECONDARY END-USE PRODUCTS.

    SciTech Connect

    KALB, P.D.; VAGIN, S.; BEALL, P.W.; LEVINTOV, B.L.

    2004-09-25

    /l in the Toxicity Characteristic Leaching Procedure). The research and development to deploy Kazakhstan recycled sulfur for secondary applications described in this paper is being conducted with support from the International Science and Technology Center (ISTC) and the U.S. Department of Energy Initiatives for Proliferation Prevention (DOE IPP).

  8. Impacts of Temperature Variation on Energy Demand in Buildings (released in AEO2005)

    Reports and Publications

    2005-01-01

    In the residential and commercial sectors, heating and cooling account for more than 40% of end-use energy demand. As a result, energy consumption in those sectors can vary significantly from year to year, depending on yearly average temperatures.

  9. Issues in International Energy Consumption Analysis: Canadian Energy Demand

    Reports and Publications

    2015-01-01

    The residential sector is one of the main end-use sectors in Canada accounting for 16.7% of total end-use site energy consumption in 2009 (computed from NRCan 2012. pp, 4-5). In this year, the residential sector accounted for 54.5% of buildings total site energy consumption. Between 1990 and 2009, Canadian household energy consumption grew by less than 11%. Nonetheless, households contributed to 14.6% of total energy-related greenhouse gas emissions in Canada in 2009 (computed from NRCan 2012). This is the U.S. Energy Information Administrations second study to help provide a better understanding of the factors impacting residential energy consumption and intensity in North America (mainly the United States and Canada) by using similar methodology for analyses in both countries.

  10. Industrial Geospatial Analysis Tool for Energy Evaluation (IGATE-E)

    SciTech Connect

    Alkadi, Nasr E; Starke, Michael R; Ma, Ookie; Nimbalkar, Sachin U; Cox, Daryl

    2013-01-01

    IGATE-E is an energy analysis tool for industrial energy evaluation. The tool applies statistical modeling to multiple publicly available datasets and provides information at the geospatial resolution of zip code using bottom up approaches. Within each zip code, the current version of the tool estimates electrical energy consumption of manufacturing industries based on each type of industries using DOE s Industrial Assessment Center database (IAC-DB) and DOE s Energy Information Administration Manufacturing Energy Consumption Survey database (EIA-MECS DB), in addition to other commercially available databases such as the Manufacturing News database (MNI, Inc.). Ongoing and future work include adding modules for the predictions of fuel energy consumption streams, manufacturing process steps energy consumption, major energy intensive processes (EIPs) within each industry type among other metrics of interest. The tool provides validation against DOE s EIA-MECS state level energy estimations and permits several statistical examinations. IGATE-E is intended to be a decision support and planning tool to a wide spectrum of energy analysts, researchers, government organizations, private consultants, industry partners, and alike.

  11. Healthcare Energy: Spotlight on Fans and Pumps | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Fans and Pumps Healthcare Energy: Spotlight on Fans and Pumps Chilled water pumps at a central plant. Image by Warren Gretz, NREL/06196 Chilled water pumps at a central plant. Image by Warren Gretz, NREL/06196 The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. See below for a few highlights from monitoring fan and pump energy use. Fans At the Massachusetts General Hospital (MGH) Gray Building, supply, return/exhaust, and

  12. ,"Delaware Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    8817,1663,1627,2865,0,2661 41654,9350,2463,2128,2676,0,2083 41685,8446,2138,1696,2644,0,1968 41713,9361,1858,1502,2871,0,3129 41744,6829,825,740,2340,0,2924 41774,6637,496,615,2477...

  13. Michigan Natural Gas Consumption by End Use

    Annual Energy Outlook

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  14. Oregon Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  15. Minnesota Natural Gas Consumption by End Use

    Annual Energy Outlook

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  16. Montana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  17. Ohio Natural Gas Consumption by End Use

    Annual Energy Outlook

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  18. Vermont Natural Gas Consumption by End Use

    Annual Energy Outlook

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  19. Alaska Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  20. Wisconsin Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  1. Maryland Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  2. Massachusetts Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  3. Virginia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  4. Tennessee Natural Gas Consumption by End Use

    Annual Energy Outlook

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  5. Nevada Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  6. Mississippi Natural Gas Consumption by End Use

    Annual Energy Outlook

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  7. Nebraska Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  8. Utah Natural Gas Consumption by End Use

    Annual Energy Outlook

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New...

  9. ,"Missouri Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 39979,13144,2270,2201,4272,,4401 40009,12199,1930,1901,4243,,4126 40040,12779,1884,1920,4390,,4585 40071,10268,2000,2321,4322,,1626 40101,13672,4317,3170,4983,,1203 ...

  10. ,"Maryland Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ...8,3440,1884,,1201 38883,9251,1972,3084,1899,,2296 38913,11438,1654,2479,1813,,5490 38944,11236,1617,2784,1978,,4856 38975,8042,2121,3434,1374,,1114 39005,11895,4315,4622,1884,,1074 ...

  11. ,"Utah Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ...7787,5612,1540,1026,1902,,1145 37817,6174,1358,902,1911,,2002 37848,6166,1355,973,1955,,1884 37879,6229,1856,1243,1950,,1181 37909,7898,2988,1718,2117,,1076 37940,13299,6914,3783,2...

  12. Colorado Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Commercial 57,658 55,843 51,795 58,787 58,008 54,004 1967-2015 Industrial 114,295 74,407 ...

  13. Pennsylvania Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Pipeline & Distribution Use 47,470 51,220 37,176 37,825 42,093 43,059 1997-2015 ...

  14. Louisiana Natural Gas Consumption by End Use

    Annual Energy Outlook

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Pipeline & Distribution Use 46,892 51,897 49,235 36,737 50,524 34,141 1997-2015 ...

  15. Washington Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Residential 75,554 85,393 79,892 83,365 78,750 71,952 1967-2015 Commercial 51,335 56,487 ...

  16. Oklahoma Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Lease and Plant Fuel 1967-1998 Lease Fuel 39,489 40,819 43,727 45,581 51,127 54,823 ...

  17. Maine Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Volumes Delivered to Consumers 75,821 69,291 67,504 63,247 59,356 51,191 1997-2015 ...

  18. California Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Lease and Plant Fuel 1967-1998 Lease Fuel 64,931 44,379 51,154 49,846 42,989 42,643 ...

  19. Wyoming Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Total ... Commercial 11,153 11,680 10,482 12,013 12,188 12,937 1967-2015 Industrial 43,059 45,462 51...

  20. Missouri Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Lease and Plant Fuel 1967-1998 Lease Fuel 0 0 0 0 * 1984-2014 Pipeline & Distribution Use 5,820 7,049 4,973 5,626 6,184 1997-2014 Volumes Delivered to Consumers 274,361 265,534 ...

  1. Texas Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    85,549 138,429 294,316 274,451 1997-2014 Volumes Delivered to Consumers 2,947,542 3,185,011 3,305,730 3,377,217 3,350,645 3,415,789 1997-2014 Residential 192,153 226,445 199,958...

  2. End-Use Taxes: Current EIA Practices

    Energy Information Administration (EIA) (indexed site)

    However, many States levy taxes on aviation fuel, as shown in Table B3 in Appendix B, based on information obtained from State TaxationRevenue Offices. The use of the national...

  3. ,"Wisconsin Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    67,2429,2389,7792,5,7152 40405,20798,2472,2385,8311,5,7624 40436,16423,2833,2891,8505,5,2189 40466,21523,5597,4616,9601,5,1704 40497,33652,12885,8423,10973,5,1366...

  4. ,"Louisiana Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    32582,,8377,3462 32613,,4724,2362 32643,,2816,1790 32674,,2321,1479 32704,,2189,1399 32735,,2026,1340 32766,,2035,1433 32796,,2513,1568 32827,,4166,2035...

  5. Arizona Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  6. Arkansas Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  7. California Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  8. Alabama Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    454,456 534,779 598,514 666,712 615,407 634,678 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 10,460 10,163 10,367 12,389 12,456 10,055 1983-2014 Plant Fuel 6,470 6,441 6,939...

  9. " Row: End Uses within NAICS Codes;"

    Energy Information Administration (EIA) (indexed site)

    Sources, including Net Demand for Electricity;" " Unit: Physical Units or Btu." " "," ... and Breeze)" "NAICS"," ","for Electricity(b)","Fuel Oil","Diesel ...

  10. ,"Wyoming Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 39736,4922,738,610,3480,,94 39767,5595,1207,908,3394,,86 39797,7419,1929,1386,4005,,100 39828,7385,2040,1589,3639,,117 39859,6193,1754,1416,2927,,96 ...

  11. ,"Idaho Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    34196,,251,360 34227,,310,381 34257,,481,507 34288,,1159,947 34318,,2057,1543 34349,,1929,1510 34380,,1926,1457 34408,,1432,1121 34439,,1001,771 34469,,568,480 34500,,367,377 ...

  12. ,"Indiana Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusinm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  13. ,"Ohio Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusohm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  14. ,"Michigan Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusmim.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  15. ,"Massachusetts Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusmam.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  16. ,"Vermont Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusvtm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  17. ,"Arkansas Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusarm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  18. ,"Iowa Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusiam.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  19. ,"Florida Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusflm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  20. ,"Minnesota Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusmnm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  1. ,"Illinois Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcusilm.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  2. ,"Hawaii Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    Date:","1292016" ,"Next Release Date:","2292016" ,"Excel File Name:","ngconssumdcushim.xls" ,"Available from Web Page:","http:www.eia.govdnavng...

  3. ,"Oregon Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    32978,,1820,1550 33008,,1476,1268 33039,,1206,1157 33069,,704,821 33100,,560,769 ... 37726,13784,3838,2544,5408,,1994 37756,12066,3058,2088,5382,,1537 ...

  4. ,"Alaska Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    33649,,1933,2372 33678,,1764,2319 33709,,1346,1935 33739,,1012,1597 33770,,628,1206 33800,,474,1084 33831,,438,1013 33862,,643,1252 33892,,1209,1790 33923,,1442,1928 ...

  5. ,"Montana Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    33131,,450,347 33161,,1040,782 33192,,1694,1206 33222,,2673,1889 33253,,3533,2425 ...,3279,1081,737,1444,,16 38153,2725,856,647,1206,,16 38183,2154,553,456,1129,,16 ...

  6. ,"Maine Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 38671,4236,102,416,513,,3205 38701,2234,170,664,563,,836 38732,3888,153,605,1206,,1923 38763,4850,166,636,1426,,2622 38791,5239,142,620,2121,,2355 38822,4090,87,355,124...

  7. ,"Mississippi Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 35504,,3058,2114 35535,,1916,1532 35565,,1472,1305 35596,,926,1174 35626,,815,1206 35657,,761,1309 35688,,778,924 35718,,902,1224 35749,,2561,2027 35779,,4355,2937 ...

  8. ,"Tennessee Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 40283,14937,4022,3553,7241,1,119 40313,11682,1468,2245,7020,1,948 40344,12260,1206,2041,6804,1,2209 40374,14350,1036,1878,6882,1,4553 40405,13862,956,1725,7350,1,3829 ...

  9. ,"Nevada Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 37118,14023,996,1238,910,,10878 37149,12067,1034,1655,858,,8520 37179,12854,1245,1383... 40954,22161,5815,3266,972,47,12062 40983,20389,4325,2888,1019,50,12107 ...

  10. Wisconsin Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  11. Mississippi Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 2,237 1,453 1,032 1,207 1,173 930 1989-2016 Industrial 10,101 9,093 9,641 9,766 9,833 9,583 2001-2016 Vehicle Fuel 2 2 2 7 7 8 2010-2016 Electric Power 29,722 26,595 ...

  12. Vermont Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Residential 541 380 357 196 109 89 1989-2016 Commercial 714 516 NA 286 306 345 1989-2016 Industrial 204 204 192 167 151 140 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric ...

  13. Michigan Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 24,800 18,781 14,623 8,703 5,515 5,093 1989-2016 Industrial 18,218 16,587 14,685 12,111 11,431 10,796 2001-2016 Vehicle Fuel 35 38 37 42 40 46 2010-2016 Electric Power ...

  14. Texas Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 19,038 14,740 13,184 10,611 NA 10,294 1989-2016 Industrial 133,542 139,966 128,883 130,670 130,406 NA 2001-2016 Vehicle Fuel 301 333 322 393 380 432 2010-2016 Electric ...

  15. Missouri Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 8,887 5,327 3,314 2,735 2,066 2,159 1989-2016 Industrial 7,176 6,041 5,272 5,146 4,574 4,413 2001-2016 Vehicle Fuel 4 5 4 10 10 11 2010-2016 Electric Power 2,679 2,628 ...

  16. Massachusetts Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 13,214 10,080 8,350 5,404 3,621 3,715 1989-2016 Industrial 5,187 4,478 4,072 3,111 2,790 2,431 2001-2016 Vehicle Fuel 70 77 75 68 66 75 2010-2016 Electric Power 9,783 ...

  17. Alaska Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 1,752 1,664 1,195 825 664 566 1989-2016 Industrial 243 237 183 261 363 307 2001-2016 Vehicle Fuel 1 1 1 1 1 1 2010-2016 Electric Power 1,992 1,911 1,710 1,852 1,895 ...

  18. Louisiana Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 2,921 2,364 2,247 2,219 1,909 1,882 1989-2016 Industrial 81,450 87,558 85,108 87,285 84,591 87,948 2001-2016 Vehicle Fuel 5 5 5 5 5 6 2010-2016 Electric Power 24,771 ...

  19. Colorado Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 7,263 6,179 4,598 3,121 1,838 1,647 1989-2016 Industrial 7,760 7,599 6,680 6,193 5,034 5,168 2001-2016 Vehicle Fuel 27 30 29 31 30 34 2010-2016 Electric Power 6,288 ...

  20. Alabama Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 3,160 1,825 1,497 1,244 1,250 975 1989-2016 Industrial 16,396 16,568 15,753 16,613 15,147 14,695 2001-2016 Vehicle Fuel 19 21 20 36 34 39 2010-2016 Electric Power 29,307 ...

  1. Nebraska Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 3,783 2,546 1,756 1,327 1,020 940 1989-2016 Industrial 6,695 6,718 6,524 6,354 NA 8,194 2001-2016 Vehicle Fuel 5 5 5 5 5 5 2010-2016 Electric Power 112 W 522 W 1,442 ...

  2. Virginia Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 9,234 6,289 5,145 3,556 3,132 2,646 1989-2016 Industrial 7,185 7,482 7,181 NA NA 7,398 2001-2016 Vehicle Fuel 21 23 22 20 19 21 2010-2016 Electric Power 22,761 20,295 ...

  3. Washington Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 5,807 5,496 3,094 2,828 2,441 2,268 1989-2016 Industrial 6,792 6,605 6,305 5,760 5,732 6,014 2001-2016 Vehicle Fuel 42 46 45 46 44 50 2010-2016 Electric Power 7,407 ...

  4. Minnesota Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 14,790 10,266 7,146 4,040 2,736 2,742 1989-2016 Industrial NA 17,566 NA 11,634 11,627 12,285 2001-2016 Vehicle Fuel 4 5 4 6 6 6 2010-2016 Electric Power 5,321 5,397 ...

  5. Maine Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Residential 401 342 258 143 63 52 1989-2016 Commercial 1,199 1,048 789 493 324 294 1989-2016 Industrial NA NA NA NA NA 1,511 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric ...

  6. Oklahoma Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 5,075 3,442 2,215 2,092 1,565 1,495 1989-2016 Industrial 15,430 16,456 16,366 17,335 15,702 15,809 2001-2016 Vehicle Fuel 35 38 37 44 43 49 2010-2016 Electric Power ...

  7. Tennessee Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 7,608 4,369 2,983 2,652 2,032 2,035 1989-2016 Industrial 11,145 10,126 9,521 9,340 9,467 9,264 2001-2016 Vehicle Fuel 9 10 9 21 20 23 2010-2016 Electric Power 6,331 ...

  8. Oregon Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 3,194 2,973 1,839 1,438 1,093 1,026 1989-2016 Industrial 4,859 4,996 4,545 4,518 4,216 4,198 2001-2016 Vehicle Fuel 15 17 17 16 15 17 2010-2016 Electric Power 9,351 ...

  9. Utah Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 5,319 3,970 2,773 2,010 1,075 1,235 1989-2016 Industrial 3,600 3,376 3,569 3,073 3,036 2,822 2001-2016 Vehicle Fuel 22 25 24 24 23 27 2010-2016 Electric Power 4,079 ...

  10. Maryland Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 9,509 6,392 5,411 4,081 3,188 2,823 1989-2016 Industrial 1,428 1,519 1,239 1,179 NA 1,196 2001-2016 Vehicle Fuel 20 22 22 22 22 24 2010-2016 Electric Power 2,318 4,202 ...

  11. Wyoming Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    257 209 1989-2016 Commercial 1,423 NA 1,054 782 441 NA 1989-2016 Industrial 4,438 NA NA 4,595 4,262 4,064 2001-2016 Vehicle Fuel 2 2 2 2 2 3 2010-2016 Electric Power W W W W W W

  12. Ohio Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 23,559 14,966 12,115 6,674 4,182 4,220 1989-2016 Industrial 27,438 25,038 23,038 21,570 19,851 19,309 2001-2016 Vehicle Fuel 30 33 32 47 46 52 2010-2016 Electric Power ...

  13. Arizona Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 3,398 2,770 2,460 2,165 1,910 1,771 1989-2016 Industrial 1,793 1,709 1,577 1,591 1,542 1,335 2001-2016 Vehicle Fuel 173 192 186 206 199 226 2010-2016 Electric Power ...

  14. Arkansas Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 5,497 4,174 3,099 2,837 2,529 2,433 1989-2016 Industrial 7,081 6,968 6,512 6,420 6,028 6,029 2001-2016 Vehicle Fuel 3 3 3 3 3 3 2010-2016 Electric Power 5,839 6,041 ...

  15. Nevada Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 3,365 2,766 2,390 2,155 1,760 1,748 1989-2016 Industrial 1,448 1,562 1,518 1,483 1,433 NA 2001-2016 Vehicle Fuel 60 66 64 92 89 101 2010-2016 Electric Power 14,466 ...

  16. Pennsylvania Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Commercial 22,320 13,699 11,041 7,146 4,967 4,553 1989-2016 Industrial 23,458 22,615 21,166 19,626 19,397 NA 2001-2016 Vehicle Fuel 31 35 33 37 36 41 2010-2016 Electric Power ...

  17. Montana Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    1989-2016 Commercial 2,434 2,272 1,488 1,158 778 745 1989-2016 Industrial 1,918 NA NA 1,723 NA NA 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 732 699 W W 798 1,010

  18. ,"Nebraska Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 38426,11440,5151,3311,2623,,355 38457,8360,3023,1975,2975,,389 38487,6579,1947,1592,2545,,496 38518,5853,990,999,2597,,1268 38548,7874,830,1046,4393,,1606 ...

  19. ,"Washington Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 35869,,8950,5824 35900,,5827,4236 35930,,3221,2738 35961,,2312,2291 35991,,1765,1947 36022,,1574,1818 36053,,1667,1869 36083,,2427,2102 36114,,4731,3442 36144,,7989,5595 ...

  20. ,"Kansas Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ... 36326,,2065,1427 36356,,1479,1628 36387,,1617,1905 36418,,1489,1820 36448,,2658,1947 36479,,3997,2395 36509,,9040,4553 36540,,13149,6732 36571,,11829,6091 36600,,8180,4404 ...

  1. ,"Connecticut Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    34043,,6255,4461 34074,,4043,3038 34104,,1947,1583 34135,,1274,1161 34165,,1040,1122 ...836,987,1723,1623,3,10500 40405,13482,1004,1947,1632,3,8895 40436,12628,951,1787,1591,3,82...

  2. ,"Arizona Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ...113,1904,2289,1975,,14944 37057,17703,1272,1947,1872,,12611 37087,18312,1060,1763,1853,,13... 40831,22244,1504,2125,1629,145,16841 40862,19475,2839,2848,2021,141,11627 ...

  3. Connecticut Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  4. Connecticut Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  5. Delaware Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  6. Delaware Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  7. Florida Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  8. Florida Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  9. Georgia Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  10. Georgia Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  11. Hawaii Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  12. Hawaii Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    48 256 243 240 255 264 2001-2016 Residential 49 51 44 45 45 45 1989-2016 Commercial 157 162 151 154 155 163 1989-2016 Industrial 41 42 47 41 54 56 2001-2016 Vehicle Fuel 1 1 0 0 0 0 2010-2016 Electric Power -- -- -- -- -- --

  13. Idaho Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  14. Idaho Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    ,200 4,791 5,641 5,396 6,284 7,183 2001-2016 Residential 2,532 1,290 881 580 518 492 1989-2016 Commercial 1,706 993 851 653 657 701 1989-2016 Industrial 3,186 2,494 2,463 2,137 2,525 2,253 2001-2016 Vehicle Fuel 15 14 14 14 15 15 2010-2016 Electric Power 1,763 W 1,431 2,013 2,568 3,722

  15. Illinois Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    6,996 75,916 54,482 NA NA 53,400 2001-2016 Residential 41,109 30,185 15,751 9,472 7,782 7,419 1989-2016 Commercial 21,382 15,803 10,496 7,251 7,882 7,896 1989-2016 Industrial 23,292 20,311 18,796 NA NA 17,648 2001-2016 Vehicle Fuel 32 31 38 37 42 42 2010-2016 Electric Power 11,181 9,587 9,400 13,205 22,701 20,395

  16. Indiana Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  17. Indiana Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  18. Iowa Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    8,876 22,989 21,205 19,444 20,538 21,081 2001-2016 Residential 6,558 4,400 2,098 1,115 1,116 1,042 1989-2016 Commercial 4,891 3,413 2,075 1,575 1,707 1,830 1989-2016 Industrial 15,885 14,227 14,405 14,471 14,379 14,383 2001-2016 Vehicle Fuel 2 2 2 2 2 2 2010-2016 Electric Power 1,541 948 2,624 2,281 3,333 3,823

  19. Kansas Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  20. Kentucky Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Gulf of Mexico Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources &

  1. Kentucky Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions,

  2. Kansas Natural Gas Consumption by End Use

    Energy Information Administration (EIA) (indexed site)

    86,973 275,184 279,724 262,316 283,177 285,969 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 15,169 13,461 12,781 17,017 17,110 14,851 1983-2014 Plant Fuel 2,126 2,102 2,246...

  3. ,"Georgia Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    ...,5851,3726,10622,93,22727 41228,52299,12989,6200,12742,90,20277 41258,61950,16188,6843,13500,93,25326 41289,62324,18331,7191,13879,85,22838 41320,63455,19031,7667,12703,77,23978 ...

  4. ,"Colorado Natural Gas Consumption by End Use"

    Energy Information Administration (EIA) (indexed site)

    34288,,8984,6080 34318,,14527,9396 34349,,16252,10134 34380,,15391,9633 34408,,13500,8295 34439,,9732,6300 34469,,6819,4573 34500,,3474,2745 34530,,2546,2268 ...

  5. State energy data report 1994: Consumption estimates

    SciTech Connect

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  6. Manufacturing Energy and Carbon Footprints (2006 MECS)

    Energy.gov [DOE]

    Energy and Carbon Footprints provide a mapping of energy from supply to end use in manufacturing. They show us where energy is used and lost—and where greenhouse gases (GHGs) are emitted. Footprints are available below for 15 manufacturing sectors (representing 94% of all manufacturing energy use) and for U.S. manufacturing as a whole. Analysis of these footprints is also available in the U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis report.

  7. Energy Data Management Webinar Series- Part 1: Energy Data Collection

    Energy.gov [DOE]

    This session will begin with the creation of a comprehensive energy end-use inventory, improving utility data access, and identifying other sources of consumption data. This step in the benchmarking process will help public sector organizations with benchmarking requirements through identifying best data collection and tracking practices.

  8. Industrial Facility Combustion Energy Use

    DOE Data Explorer

    McMillan, Colin

    2016-08-01

    Facility-level industrial combustion energy use is calculated from greenhouse gas emissions data reported by large emitters (>25,000 metric tons CO2e per year) under the U.S. EPA's Greenhouse Gas Reporting Program (GHGRP, https://www.epa.gov/ghgreporting). The calculation applies EPA default emissions factors to reported fuel use by fuel type. Additional facility information is included with calculated combustion energy values, such as industry type (six-digit NAICS code), location (lat, long, zip code, county, and state), combustion unit type, and combustion unit name. Further identification of combustion energy use is provided by calculating energy end use (e.g., conventional boiler use, co-generation/CHP use, process heating, other facility support) by manufacturing NAICS code. Manufacturing facilities are matched by their NAICS code and reported fuel type with the proportion of combustion fuel energy for each end use category identified in the 2010 Energy Information Administration Manufacturing Energy Consumption Survey (MECS, http://www.eia.gov/consumption/manufacturing/data/2010/). MECS data are adjusted to account for data that were withheld or whose end use was unspecified following the procedure described in Fox, Don B., Daniel Sutter, and Jefferson W. Tester. 2011. The Thermal Spectrum of Low-Temperature Energy Use in the United States, NY: Cornell Energy Institute.

  9. Petroleum: An energy profile, 1999

    SciTech Connect

    1999-07-01

    This report prepared by the Energy Information Administration covers the following topics: petroleum production and end-use sectors; resources and reserves; exploration and production; LPG sources and processing; motor gasoline octane enhancement; constructing pipelines; the strategic petroleum reserve; imports and exports; marketing; district descriptions and maps; and refinery processes and facilities. 33 figs., 7 tabs.

  10. Healthcare Energy: Spotlight on Chiller Plants | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Chiller Plants Healthcare Energy: Spotlight on Chiller Plants The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. See below for a few highlights from monitoring chiller plant energy. Image of a chiller plant. Chiller Energy Annual site energy use intensities (EUIs) for chiller energy were estimated to be 27.7 kBtu/ft2-yr for the the Massachusetts General Hospital (MGH) Gray Building and 26.8 kBtu/ft2-yr for the State

  11. Hawaii energy strategy project 2: Fossil energy review. Task 2: Fossil energy in Hawaii

    SciTech Connect

    Breazeale, K.; Yamaguchi, N.D.; Keeville, H.

    1993-12-01

    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.

  12. Issues in International Energy Consumption Analysis: Electricity Usage in

    Energy Information Administration (EIA) (indexed site)

    India's Housing Sector - Energy Information Administration Canadian Energy Demand Electricity Usage in India's Housing Sector SERIES: Issues in International Energy Consumption Analysis Canadian Energy Demand Release date: June 2, 2015 The residential sector is one of the main end-use sectors in Canada accounting for 16.7% of total end-use site energy consumption in 2009 (computed from NRCan 2012. pp, 4-5). In this year, the residential sector accounted for 54.5% of buildings total site

  13. March 2015 National Idling Reduction Network News | Department of Energy

    Energy Saver

    Energy Manufacturing Energy and Carbon Footprints (2006 MECS) Manufacturing Energy and Carbon Footprints (2006 MECS) Energy and Carbon Footprints provide a mapping of energy from supply to end use in manufacturing. They show us where energy is used and lost-and where greenhouse gases (GHGs) are emitted. Footprints are available below for 15 manufacturing sectors (representing 94% of all manufacturing energy use) and for U.S. manufacturing as a whole. Analysis of these footprints is also

  14. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Appendix F Table F18. Delivered energy consumption in Brazil by end-use sector and fuel, 2010-2040 ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Electricity 0.4 0.5 0.6 0.7 0.8 0.9 1.1 3.1 ...

  15. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Appendix F Table F8. Delivered energy consumption in South Korea by end-use sector and fuel, 2010-2040 ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Electricity 0.2 0.2 0.3 0.3 0.3 0.4 0.4 ...

  16. International Energy Outlook 2013

    Annual Energy Outlook

    Table F2. Total OECD delivered energy consumption by end-use sector and fuel, 2010-2040 ... Coal 0.8 0.8 0.7 0.7 0.7 0.6 0.6 -1.4 Electricity 10.6 11.1 11.7 12.5 13.2 13.9 14.6 ...

  17. International Energy Outlook 2013

    Annual Energy Outlook

    Table F17. Delivered energy consumption in Africa by end-use sector and fuel, 2010-2040 (quadrillion ... Coal 0.1 0.1 0.1 0.1 0.1 0.2 0.2 2.5 Electricity 0.6 0.7 0.8 1.0 1.2 1.4 1.7 ...

  18. International Energy Outlook 2013

    Annual Energy Outlook

    Appendix F Table F6. Delivered energy consumption in OECD Europe by end-use sector and fuel, 2010-2040 ... Coal 0.8 0.7 0.7 0.7 0.6 0.6 0.5 -1.3 Electricity 3.3 3.8 4.1 4.4 4.6 4.8 5.0 ...

  19. International Energy Outlook 2013

    Annual Energy Outlook

    Appendix F Table F4. Delivered energy consumption in Canada by end-use sector and fuel, 2010-2040 ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -1.5 Electricity 0.5 0.6 0.6 0.7 0.7 0.8 0.8 ...

  20. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Table F11. Delivered energy consumption in Russia by end-use sector and fuel, 2010-2040 (quadrillion ... Coal 0.3 0.3 0.3 0.3 0.2 0.2 0.2 -1.5 Electricity 0.4 0.5 0.6 0.7 0.8 0.9 1.0 ...

  1. International Energy Outlook 2013

    Annual Energy Outlook

    Table F1. Total world delivered energy consumption by end-use sector and fuel, 2010-2040 ... Coal 4.6 4.4 4.5 4.5 4.4 4.4 4.3 -0.3 Electricity 17.6 20.1 23.1 26.4 30.0 33.9 38.0 ...

  2. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Appendix F Table F14. Delivered energy consumption in India by end-use sector and fuel, 2010-2040 ... Coal 0.1 0.2 0.2 0.2 0.2 0.2 0.3 2.4 Electricity 0.6 1.0 1.3 1.8 2.4 3.0 3.8 6.4 ...

  3. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update

    Table F13. Delivered energy consumption in China by end-use sector and fuel, 2010-2040 (quadrillion ... Coal 3.0 2.9 3.0 3.0 3.0 3.0 2.9 -0.2 Electricity 1.8 2.7 3.8 5.0 6.3 7.8 9.2 ...

  4. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update

    Table F10. Total Non-OECD delivered energy consumption by end-use sector and fuel, 2010-2040 ... Coal 3.8 3.7 3.7 3.8 3.8 3.8 3.7 -0.1 Electricity 7.0 9.0 11.4 14.0 16.9 20.0 23.3 ...

  5. International Energy Outlook 2013

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Table F7. Delivered energy consumption in Japan by end-use sector and fuel, 2010-2040 (quadrillion ... Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Electricity 1.1 1.2 1.2 1.3 1.3 1.3 1.3 0.6 ...

  6. Energy Materials Network Overview

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    30 th , 2016 2 MGI - Framework New Material Innovations for Clean Energy 2X Faster and 2X Cheaper Predictive Simulation Across Scales Synthesis & Characterization Rapid Screening End Use Performance Process Scalability Process Control Real-time Characterization Reliability Validation Data Management & Informatics Coordinated resource network with a suite of capabilities for advanced materials R&D In Support of the Materials Genome Initiative (MGI) 3 Network Requirements 1. WORLD

  7. ENERGY INFORMATION CLEARINGHOUSE

    SciTech Connect

    Ron Johnson

    2003-10-01

    Alaska has spent billions of dollars on various energy-related activities over the past several decades, with projects ranging from smaller utilities used to produce heat and power in rural Alaska to huge endeavors relating to exported resources. To help provide information for end users, utilities, decision makers, and the general public, the Institute of Northern Engineering at UAF established an Energy Information Clearinghouse accessible through the worldwide web in 2002. This clearinghouse contains information on energy resources, end use technologies, policies, related environmental issues, emerging technologies, efficiency, storage, demand side management, and developments in Alaska.

  8. International Energy Outlook 2016-Electricity - Energy Information

    Gasoline and Diesel Fuel Update

    Administration 5. Electricity print version Overview In the International Energy Outlook 2016 (IEO2016) Reference case, world net electricity generation increases 69% by 2040, from 21.6 trillion kilowatthours (kWh) in 2012 to 25.8 trillion kWh in 2020 and 36.5 trillion kWh in 2040. Electricity is the world's fastest-growing form of end-use energy consumption, as it has been for many decades. Power systems have continued to evolve from isolated, small grids to integrated national markets and

  9. EERE's 2016 Budget | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Budget » EERE's 2016 Budget EERE's 2016 Budget The Office of Energy Efficiency and Renewable Energy (EERE) is the U.S. government's primary clean energy technology organization. EERE works with many of America's best innovators and businesses to support high-impact applied research, development, demonstration, and deployment (RDD&D) activities in sustainable transportation, renewable power, and end-use energy efficiency. EERE implements a range of strategies aimed at reducing U.S. reliance

  10. EERE's 2017 Budget | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EERE's 2017 Budget EERE's 2017 Budget The Office of Energy Efficiency and Renewable Energy (EERE) is the U.S. government's primary clean energy technology organization. EERE works with many of America's best innovators and businesses to support high-impact applied research, development, demonstration, and deployment (RDD&D) activities in sustainable transportation, renewable power, and end-use energy efficiency. EERE implements a range of strategies aimed at reducing U.S. reliance on oil,

  11. Healthcare Energy: Spotlight on Reheat and Heating | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Reheat and Heating Healthcare Energy: Spotlight on Reheat and Heating The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. See below for a few highlights from monitoring heating and reheating energy use. Heating Chart.jpg Annual Site Energy Use Intensities Annual site energy use intensities (EUIs) for the "reheat and heating" category were 108.4 kBtu/ft2-yr at the Massachusetts General Hospital (MGH) Gray Building

  12. Army Energy and Water Reporting System Assessment

    SciTech Connect

    Deprez, Peggy C.; Giardinelli, Michael J.; Burke, John S.; Connell, Linda M.

    2011-09-01

    There are many areas of desired improvement for the Army Energy and Water Reporting System. The purpose of system is to serve as a data repository for collecting information from energy managers, which is then compiled into an annual energy report. This document summarizes reported shortcomings of the system and provides several alternative approaches for improving application usability and adding functionality. The U.S. Army has been using Army Energy and Water Reporting System (AEWRS) for many years to collect and compile energy data from installations for facilitating compliance with Federal and Department of Defense energy management program reporting requirements. In this analysis, staff from Pacific Northwest National Laboratory found that substantial opportunities exist to expand AEWRS functions to better assist the Army to effectively manage energy programs. Army leadership must decide if it wants to invest in expanding AEWRS capabilities as a web-based, enterprise-wide tool for improving the Army Energy and Water Management Program or simply maintaining a bottom-up reporting tool. This report looks at both improving system functionality from an operational perspective and increasing user-friendliness, but also as a tool for potential improvements to increase program effectiveness. The authors of this report recommend focusing on making the system easier for energy managers to input accurate data as the top priority for improving AEWRS. The next major focus of improvement would be improved reporting. The AEWRS user interface is dated and not user friendly, and a new system is recommended. While there are relatively minor improvements that could be made to the existing system to make it easier to use, significant improvements will be achieved with a user-friendly interface, new architecture, and a design that permits scalability and reliability. An expanded data set would naturally have need of additional requirements gathering and a focus on integrating

  13. Household energy consumption and expenditures, 1990

    SciTech Connect

    Not Available

    1993-03-02

    This report, Household Energy Consumption and Expenditures 1990, is based upon data from the 1990 Residential Energy Consumption Survey (RECS). Focusing on energy end-use consumption and expenditures of households, the 1990 RECS is the eighth in a series conducted since 1978 by the Energy Information Administration (EIA). Over 5,000 households were surveyed, providing information on their housing units, housing characteristics, energy consumption and expenditures, stock of energy-consuming appliances, and energy-related behavior. The information provided represents the characteristics and energy consumption of 94 million households nationwide.

  14. Home Energy Saver v.2.0

    Energy Science and Technology Software Center

    2008-09-01

    A web-based residential energy calculator. Provides customized estimates of residential energy use, energy bills, and CO2 emissions, based on building description information provided by the user. Energy use is estimated by end-use and device, using engineering models. Space heating and cooling use is based on the DOE-2.1E building simulation model. Other end-uses (water heating, appliances, lighting, and miscellaneous equipment) are based on engineering models developed by LBNL. Users can estimate their household carbon footprint andmore » compare it to average vaules for their neighborhood and other regions, displayed using the Google Maps API. Energy bills can be calculated using either average energy price data or actual utility tariffs (including time-of-use) contained in the LBNL Tariff Analysis Project (TAP). HES includes a link to the TAP energy bill calculator web service. The HES software also includes extensive default input data for required user inputs.« less

  15. Barriers to Industrial Energy Efficiency - Study (Appendix A), June 2015 |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Industrial Energy Efficiency - Study (Appendix A), June 2015 Barriers to Industrial Energy Efficiency - Study (Appendix A), June 2015 This study examines barriers that impede the adoption of energy efficient technologies and practices in the industrial sector, and identifies successful examples and opportunities to overcome these barriers. Three groups of energy efficiency technologies and measures were examined: industrial end-use energy efficiency, industrial demand

  16. Barriers to Industrial Energy Efficiency - Report to Congress, June 2015 |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Barriers to Industrial Energy Efficiency - Report to Congress, June 2015 Barriers to Industrial Energy Efficiency - Report to Congress, June 2015 This report examines barriers that impede the adoption of energy efficient technologies and practices in the industrial sector, and identifies successful examples and opportunities to overcome these barriers. Three groups of energy efficiency technologies and measures were examined: industrial end-use energy efficiency,

  17. 2010 Manufacturing Energy and Carbon Footprints: Scope | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Scope 2010 Manufacturing Energy and Carbon Footprints: Scope This five-page document provides detailed descriptions of the manufacturing sectors examined in the Energy and Carbon Footprints (MECS 2010) Scope of the Manufacturing Energy and Carbon Footprints (MECS 2010) (330.09 KB) More Documents & Publications Manufacturing Energy and Carbon Footprints Scope End-Use Sector Flowchart U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis

  18. Overview of energy-conservation research opportunities

    SciTech Connect

    Hopp, W.J.; Hauser, S.G.; Hane, G.J.; Gurwell, W.E.; Bird, S.P.; Cliff, W.C.; Williford, R.E.; Williams, T.A.; Ashton, W.B.

    1981-12-01

    This document is a study of research opportunities that are important to developing advanced technologies for efficient energy use. The study's purpose is to describe a wide array of attractive technical areas from which specific research and development programs could be implemented. Research areas are presented for potential application in each of the major end-use sectors. The study develops and applies a systematic approach to identifying and screening applied energy conservation research opportunities. To broadly cover the energy end-use sectors, this study develops useful information relating to the areas where federally-funded applied research will most likely play an important role in promoting energy conservation. This study is not designed to produce a detailed agenda of specific recommended research activities. The general information presented allows uniform comparisons of disparate research areas and as such provides the basis for formulating a cost-effective, comprehensive federal-applied energy conservation research strategy. Chapter 2 discusses the various methodologies that have been used in the past to identify research opportunities and details the approach used here. In Chapters 3, 4, and 5 the methodology is applied to the buildings, transportation, and industrial end-use sectors and the opportunities for applied research in these sectors are discussed.Chapter 6 synthesizes the results of the previous three chapters to give a comprehensive picture of applied energy conservation research opportunities across all end-use sectors and presents the conclusions to the report.

  19. EIA Energy Efficiency-Table 1b. Fuel Consumption for Selected...

    Gasoline and Diesel Fuel Update

    b Page Last Modified: May 2010 Table 1b. End Uses of Fuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector...

  20. EIA Energy Efficiency-Table 2b. Primary Fuel Consumption for...

    Gasoline and Diesel Fuel Update

    b Page Last Modified: May 2010 Table 2b. End Uses of Fuel Consumption (Primary 1 Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS...

  1. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update

    Modified: May 2010 Table 2b. End Uses of Fuel Consumption (Primary 1 Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) Note: The Btu conversion factors used for...

  2. Energy 101: Geothermal Energy | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Geothermal Energy Energy 101: Geothermal Energy

  3. Nonneutral features of energy taxation

    SciTech Connect

    Morgan, W.E.; Olson, D.

    1980-10-01

    Nonneutral taxes, those that affect the energy production and distribution industry differently from other industries, are identified and compared with taxes imposed on nonenergy industries. An overview of energy taxation covers taxes at all levels of government, from extraction to end use, including those with a clear intent to have an impact on energy and those that have differential effects while appearing to be neutral. A number of major energy policies essentially act as taxes. These include oil and gas regulation, utility regulation, Federal ownership of mineral deposits, and environmental and pollution regulations. 107 references. (DCK)

  4. Wind Vision | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Wind Vision Wind Vision Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era for Wind Power in the United States The Wind Vision report updates the Department of Energy's 2008 20% Wind Energy by 2030 through analysis of scenarios of wind power supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050. With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with

  5. Estimates of US biomass energy consumption 1992

    SciTech Connect

    Not Available

    1994-05-06

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  6. Energy Intensity Indicators: Indicators for Major Sectors | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy for Major Sectors Energy Intensity Indicators: Indicators for Major Sectors This system of energy intensity indicators for total energy covers the economy as a whole and each of the major end-use sectors - transportation, industry, commercial, and residential, as well as the electric power sector. These sectors are shown in Figure 1. Please go to the menu below the figure to see a more detailed discussion of historical trends in the energy intensity indicator for a particular sector.

  7. Residential Energy Consumption Survey (RECS) - Analysis & Projections -

    Gasoline and Diesel Fuel Update

    U.S. Energy Information Administration (EIA) How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a nationally representative sample of housing units. Specially trained interviewers collect energy characteristics on the housing unit, usage patterns, and household demographics. This information is combined with data from energy suppliers to these homes to estimate

  8. Healthcare Energy: Spotlight on Lighting and Other Electric Loads |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Lighting and Other Electric Loads Healthcare Energy: Spotlight on Lighting and Other Electric Loads Compact fluorescent, light-emitting diode, and energy-saving incandescent light bulbs. | Image by Dennis Schroeder/NREL 19469 Compact fluorescent, light-emitting diode, and energy-saving incandescent light bulbs. | Image by Dennis Schroeder/NREL 19469 The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two

  9. Understanding the 2014 Manufacturing Energy and Carbon Footprints

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Understanding the 2010 Manufacturing Energy and Carbon Footprints The Manufacturing Energy and Carbon Footprints map energy use and combustion greenhouse gas (GHG) emissions from energy supply to end use. Footprints are published for 15 manufacturing sectors (representing 95% of all manufacturing energy use and 94% of U.S. manufacturing combustion GHG emissions) and for U.S. manufacturing as a whole (NAICS 31 - 33). These sectors are described in more detail in the document 2010 Manufacturing

  10. Patterns of US energy demand

    SciTech Connect

    Piper, V.

    1987-08-01

    Patterns of US energy use - both current and projected - define an important part of the context in which energy policy decisions are made. This document attempts to provide a policy-oriented overview of US energy use and demand patterns. Specifically, this document: reviews the patterns of US energy use, with emphasis on those aspects that have implications for US energy security; places US energy use and projected demand in a global context, particularly as it relates to a changing world oil market and the dependency of various sectors of the economy on oil; highlights the important interactions between changes in the US economy and changing energy demand; and provides insight into the functioning of energy end-use markets and future energy demand.

  11. Using energy management systems to obtain building energy data

    SciTech Connect

    Akbari, H.; Flora, D.; Le Coniac, P.

    1986-01-01

    EMS-derived data may offer important advantages, in terms of cost and effort vs data quality, as compared with conventional approaches now being used to analyze end-use performance in large buildings. Of course, using EMS's for performance monitoring will not be equally promising in all commercial buildings nor for all data needs. There must be a computerized energy management system already in place, with appropriate sensing, data storage, and communication capabilities. However, these systems are already becoming standard equipment, especially in buildings larger than 100,000 square feet. It is possible to take advantage of the data available from even a simple EMS to determine some operating characteristics of a commercial building, especially to understand the way the electricity is used. Hourly EMS data help to indicate the weather dependency of the energy use in the building and can be used as constraint in load profile estimations where they are invaluable in establishing an accurate end-use breakdown.

  12. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    SciTech Connect

    Goldman, Charles; Fuller, Merrian C.; Stuart, Elizabeth; Peters, Jane S.; McRae, Marjorie; Albers, Nathaniel; Lutzenhiser, Susan; Spahic, Mersiha

    2010-03-22

    The energy efficiency services sector (EESS) is poised to become an increasingly important part of the U.S. economy. Climate change and energy supply concerns, volatile and increasing energy prices, and a desire for greater energy independence have led many state and national leaders to support an increasingly prominent role for energy efficiency in U.S. energy policy. The national economic recession has also helped to boost the visibility of energy efficiency, as part of a strategy to support economic recovery. We expect investment in energy efficiency to increase dramatically both in the near-term and through 2020 and beyond. This increase will come both from public support, such as the American Recovery and Reinvestment Act (ARRA) and significant increases in utility ratepayer funds directed toward efficiency, and also from increased private spending due to codes and standards, increasing energy prices, and voluntary standards for industry. Given the growing attention on energy efficiency, there is a concern among policy makers, program administrators, and others that there is an insufficiently trained workforce in place to meet the energy efficiency goals being put in place by local, state, and federal policy. To understand the likelihood of a potential workforce gap and appropriate response strategies, one needs to understand the size, composition, and potential for growth of the EESS. We use a bottom-up approach based upon almost 300 interviews with program administrators, education and training providers, and a variety of EESS employers and trade associations; communications with over 50 sector experts; as well as an extensive literature review. We attempt to provide insight into key aspects of the EESS by describing the current job composition, the current workforce size, our projections for sector growth through 2020, and key issues that may limit this growth.

  13. Residential energy use in Mexico: Structure, evolution, environmental impacts, and savings potential

    SciTech Connect

    Masera, O.; Friedmann, R.; deBuen, O.

    1993-05-01

    This article examines the characteristics of residential energy use in Mexico, its environmental impacts, and the savings potential of the major end-uses. The main options and barriers to increase the efficiency of energy use are discussed. The energy analysis is based on a disaggregation of residential energy use by end-uses. The dynamics of the evolution of the residential energy sector during the past 20 years are also addressed when the information is available. Major areas for research and for innovative decision-making are identified and prioritized.

  14. Report Highlights Significant Energy Savings Potential for Commercial Appliances

    Office of Energy Efficiency and Renewable Energy (EERE)

    Appliances used in commercial buildings for cooking, cleaning, water heating, and other end-uses account for nearly 22 percent of annual commercial building primary energy usage. According to a new report from DOE’s Building Technologies Office, energy-saving technologies available today could reduce commercial appliance consumption by 22 percent, with emerging technologies offering even bigger savings potential—36 percent.

  15. Calendar Year 2007 Program Benefits for U.S. EPA Energy Star Labeled Products: Expanded Methodology

    SciTech Connect

    Sanchez, Marla; Homan, Gregory; Lai, Judy; Brown, Richard

    2009-09-24

    This report provides a top-level summary of national savings achieved by the Energy Star voluntary product labeling program. To best quantify and analyze savings for all products, we developed a bottom-up product-based model. Each Energy Star product type is characterized by product-specific inputs that result in a product savings estimate. Our results show that through 2007, U.S. EPA Energy Star labeled products saved 5.5 Quads of primary energy and avoided 100 MtC of emissions. Although Energy Star-labeled products encompass over forty product types, only five of those product types accounted for 65percent of all Energy Star carbon reductions achieved to date, including (listed in order of savings magnitude)monitors, printers, residential light fixtures, televisions, and furnaces. The forecast shows that U.S. EPA?s program is expected to save 12.2 Quads of primary energy and avoid 215 MtC of emissions over the period of 2008?2015.

  16. International energy outlook 1999

    SciTech Connect

    1999-03-01

    This report presents international energy projections through 2020, prepared by the Energy Information Administration. The outlooks for major energy fuels are discussed, along with electricity, transportation, and environmental issues. The report begins with a review of world trends in energy demand. The historical time frame begins with data from 1970 and extends to 1996, providing readers with a 26-year historical view of energy demand. The IEO99 projections covers a 24-year period. The next part of the report is organized by energy source. Regional consumption projections for oil, natural gas, coal, nuclear power, and renewable energy (hydroelectricity, geothermal, wind, solar, and other renewables) are presented in the five fuel chapters, along with a review of the current status of each fuel on a worldwide basis. The third part of the report looks at energy consumption in the end-use sectors, beginning with a chapter on energy use for electricity generation. New to this year`s outlook are chapters on energy use in the transportation sector and on environmental issues related to energy consumption. 104 figs., 87 tabs.

  17. Bottoms-Up In-Situ Vitrification Of Hard-to-Treat Buried Mixed Wastes, CRADA Final Report ORNL99-0543

    SciTech Connect

    Spalding, B. P. [ORNL] [ORNL; Farrar, Lawrence [Montec Research] [Montec Research

    2000-01-01

    This Phase I project was designed to demonstrate feasibility of in situ waste destruction and vitrification technology as a means of remediating hard-to-treat buried radioactive and hazardous wastes and focused on proving viability of the concentric graphite arc melter technique as a robust, safe, and economic tool for use as the IWDV process heat source. Oak Ridge National Laboratory provided technical support to Montec Research including the volatile behavior of elements during silicate melting operations and temperature viscosity modeling of silicate melts. Further research will be needed to develop this technology into a competitive remediation technique

  18. "Bottom-up" meets "top-down" : self-assembly to direct manipulation of nanostructures on length scales from atoms to microns.

    SciTech Connect

    Swartzentruber, Brian Shoemaker

    2009-04-01

    This document is the final SAND Report for the LDRD Project 102660 - 'Bottomup' meets 'top-down': Self-assembly to direct manipulation of nanostructures on length scales from atoms to microns - funded through the Strategic Partnerships investment area as part of the National Institute for Nano-Engineering (NINE) project.

  19. Supplement to the Annual Energy Outlook 1993

    SciTech Connect

    Not Available

    1993-02-17

    The Supplement to the Annual Energy Outlook 1993 is a companion document to the Energy Information Administration`s (EIA) Annual Energy Outlook 1993 (AEO). Supplement tables provide the regional projections underlying the national data and projections in the AEO. The domestic coal, electric power, commercial nuclear power, end-use consumption, and end-use price tables present AEO forecasts at the 10 Federal Region level. World coal tables provide data and projections on international flows of steam coal and metallurgical coal, and the oil and gas tables provide the AEO oil and gas supply forecasts by Oil and Gas Supply Regions and by source of supply. All tables refer to cases presented in the AEO, which provides a range of projections for energy markets through 2010.

  20. Barriers to Industrial Energy Efficiency - Study (Appendix A), June 2015

    SciTech Connect

    2015-06-01

    This study examines barriers that impede the adoption of energy efficient technologies and practices in the industrial sector, and identifies successful examples and opportunities to overcome these barriers. Three groups of energy efficiency technologies and measures were examined: industrial end-use energy efficiency, industrial demand response, and industrial combined heat and power. This study also includes the estimated economic benefits from hypothetical Federal energy efficiency matching grants, as directed by the Act.