National Library of Energy BETA

Sample records for bottom-up energy end-use

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

    Open Energy Info (EERE)

    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 (OSTI)

    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 (OSTI)

    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...

    U.S. 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. Healthcare Energy End-Use Monitoring

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report describes the NREL partnership with two hospitals (MGH and SUNY UMU) to collect data on the energy used for multiple thermal and electrical end-use categories, which can be used to more effectively prioritize and refine the scope of investments in new metering and energy audits.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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

    SciTech Connect (OSTI)

    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.

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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. ...

  13. Healthcare Energy: Using End-Use Data to Inform Decisions

    Broader source: Energy.gov [DOE]

    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 consideration involves new metering, targeted energy audits, or end-use equipment upgrades.

  14. Alternative Strategies for Low Pressure End Uses | Department of Energy

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

    Alternative Strategies for Low Pressure End Uses Alternative Strategies for Low Pressure End Uses This tip sheet outlines alternative strategies for low-pressure end uses as a pathway to reduced compressed air energy costs. COMPRESSED AIR TIP SHEET #11 Alternative Strategies for Low Pressure End Uses (August 2004) (246.6 KB) More Documents & Publications Eliminate Inappropriate Uses of Compressed Air Compressed Air System Control Strategies Engineer End Uses for Maximum Efficiency

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

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

    in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: ...

  16. Energy End-Use Intensities in Commercial Buildings

    U.S. 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....

  17. Energy End-Use Intensities in Commercial Buildings 1989

    U.S. 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...

  18. 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)

  19. Distribution Infrastructure and End Use | Department of Energy

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

    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 fuels that are not compatible with existing petroleum infrastructure. The

  20. Energy end-use intensities in commercial buildings

    SciTech Connect (OSTI)

    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.

  1. United States Industrial Sector Energy End Use Analysis

    SciTech Connect (OSTI)

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

    2012-05-11

    The United States Department of Energys (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 completed

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

    SciTech Connect (OSTI)

    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

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

    U.S. 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...

  4. 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

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

    U.S. 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...

  6. End use energy consumption data base: transportation sector

    SciTech Connect (OSTI)

    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.

  7. Energy End-Use Intensities in Commercial Buildings

    U.S. 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...

  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...

    U.S. 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

    U.S. 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. Energy End-Use Intensities in Commercial Buildings

    U.S. 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...

  13. Energy End-Use Intensities in Commercial Buildings

    U.S. 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...

  14. Energy End-Use Intensities in Commercial Buildings

    U.S. 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...

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

    U.S. 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,...

  16. Energy End-Use Intensities in Commercial Buildings 1992

    U.S. 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,...

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

    Office of Environmental Management (EM)

    (left) and SIP Hut (right).
    Credit: Oak Ridge National Laboratory. When Saving Energy Helps Save Lives National lab researchers are working with U.S. Military to evaluate ...

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

    Energy Savers [EERE]

    through Technical Exchanges | Department of Energy Empowering the Next Generation: Connecting the U.S. and African Nations through Technical Exchanges Empowering the Next Generation: Connecting the U.S. and African Nations through Technical Exchanges July 31, 2014 - 2:55pm Addthis Director Dot Harris meets with Subramania I. Sritharan PhD, P.E., Central State University, and John J. Qu, Ph.D., George Mason University, fellow participants at the May 2014 U.S.-Africa Energy Ministerial in

  19. End-Use Sector Flowcharts, Energy Intensity Indicators

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

    2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. vssp_12_wagner.pdf (1.32 MB) More Documents & Publications Ignition Control for HCCI High-Efficiency Clean Combustion in Light-Duty Multi-Cylinder Diesel Engines Expanding Robust HCCI Operation (Delphi CRADA) Cooling | Department of Energy

    A new approach, called Adaptive-Jet-Cooling, leverages two distinct spray patters of hollow conical sprays

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

    U.S. 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;"

    U.S. 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;"

    U.S. 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;"

    U.S. 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;"

    U.S. 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;"

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

    U.S. 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

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

    U.S. 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

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

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

    Assembly of a Molecular Needle, from the Bottom Up Assembly of a Molecular Needle, from the Bottom Up Print Wednesday, 21 December 2005 00:00 Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the cells they infect. The injected proteins, by mimicking host-cell mechanisms, can then subvert normal cellular function. The type III secretion system (TTSS) is a sophisticated protein complex with an overall shape similar to a hypodermic needle. More

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

    Reports and Publications (EIA)

    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.

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

    SciTech Connect (OSTI)

    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

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

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

    Assembly of a Molecular Needle, from the Bottom Up Print Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the cells they infect. The injected proteins, by mimicking host-cell mechanisms, can then subvert normal cellular function. The type III secretion system (TTSS) is a sophisticated protein complex with an overall shape similar to a hypodermic needle. More than twenty unique types of proteins are required for its assembly, most of which are

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

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

    Assembly of a Molecular Needle, from the Bottom Up Print Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the cells they infect. The injected proteins, by mimicking host-cell mechanisms, can then subvert normal cellular function. The type III secretion system (TTSS) is a sophisticated protein complex with an overall shape similar to a hypodermic needle. More than twenty unique types of proteins are required for its assembly, most of which are

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

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

    Assembly of a Molecular Needle, from the Bottom Up Print Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the cells they infect. The injected proteins, by mimicking host-cell mechanisms, can then subvert normal cellular function. The type III secretion system (TTSS) is a sophisticated protein complex with an overall shape similar to a hypodermic needle. More than twenty unique types of proteins are required for its assembly, most of which are

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

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

    Assembly of a Molecular Needle, from the Bottom Up Print Many pathogenic bacteria use a specialized secretion system to inject virulence proteins directly into the cells they infect. The injected proteins, by mimicking host-cell mechanisms, can then subvert normal cellular function. The type III secretion system (TTSS) is a sophisticated protein complex with an overall shape similar to a hypodermic needle. More than twenty unique types of proteins are required for its assembly, most of which are

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

    Open Energy Info (EERE)

    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...

  16. Bottom-up graphene nanoribbon field-effect transistors

    SciTech Connect (OSTI)

    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 (OSTI)

    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 (OSTI)

    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 (OSTI)

    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 (OSTI)

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

    Open Energy Info (EERE)

    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...

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    U.S. 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

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

    SciTech Connect (OSTI)

    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.

  6. End-Use Sector Flowchart

    Broader source: Energy.gov [DOE]

    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—identified in Figure 1. By clicking on any of the boxes with the word "Sector" in the title will reveal the more detailed structure within that sector.

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

    SciTech Connect (OSTI)

    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

    DOE Patents [OSTI]

    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 (OSTI)

    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 (OSTI)

    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. End-use taxes: Current EIA practices

    SciTech Connect (OSTI)

    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.

  12. 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 (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

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

    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. ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    End Uses of Fuel Consumption, 2010; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. ...

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

    Gasoline and Diesel Fuel Update (EIA)

    2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel ...

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

    U.S. 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 ...

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

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

    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 ...

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

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

    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. ...

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

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

    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 ...

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

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

    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 ...

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

    Gasoline and Diesel Fuel Update (EIA)

    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. ...

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

    SciTech Connect (OSTI)

    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

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

    SciTech Connect (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; 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.

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

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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

  8. Table 3.4 Consumer Price Estimates for Energy by End-Use Sector, 1970-2010 (Dollars per Million Btu)

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

    Consumer 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 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 1.06 1.54 6.51 2.10 0.75 0.90 [R] 6.09 1.97 0.45 0.38 0.98 1.59 2.99 0.84 2.31 2.31 1971 1.12 1.59 6.80 2.24 .80 1.02 6.44 2.15 .50 .41 1.05

  9. " Row: End Uses;"

    U.S. 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

  10. " Row: End Uses;"

    U.S. 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

  11. End Use and Fuel Certification

    Broader source: Energy.gov [DOE]

    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

  12. " Row: End Uses;"

    U.S. 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

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

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

    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: ...

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

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

    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. ...

  15. " Row: End Uses;"

    U.S. 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

  16. " Row: End Uses;"

    U.S. 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

  17. " Row: End Uses;"

    U.S. 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

  18. " Row: End Uses;"

    U.S. 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

  19. 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; ...

  20. 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 (OSTI)

    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.

  1. The Bottom-Up Approach forThermoelectric Nanocomposites, plusƒ |

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

    Energy Damien LaVera Damien LaVera Deputy Director, Office of Public Affairs Today, the Blue Ribbon Commission on America's Nuclear Future issued a draft of its recommendations. The Obama Administration continues to believe that nuclear energy has an important role to play as America moves to a clean energy future. As part of our commitment to restarting the American nuclear industry and creating thousands of new jobs and export opportunities in the process, we are committed to finding a

  2. Biomass Resource Allocation among Competing End Uses

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    U.S. 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" ...

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

    U.S. 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" ...

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

    U.S. 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" ...

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

    U.S. 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" ...

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

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

    2 End Uses of Fuel Consumption, 2006;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." ,,,,,"Distillate" ,,,,,"Fuel Oil",,,"Coal" "NAICS",,,"Net","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End

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

    U.S. 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;"

    U.S. 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. " Row: End Uses within NAICS Codes;"

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

    4 End Uses of Fuel Consumption, 2010;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net

  12. 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

  13. Preliminary CBECS End-Use Estimates

    U.S. 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...

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

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

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

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

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

    1. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Physical Units or Btu." " "," "," ",," ","Distillate"," "," ","Coal"," "," " " "," ",,,,"Fuel Oil",,,"(excluding Coal" " ","

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

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

    2. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Electricity;" " Unit: Trillion Btu." " "," "," ",," ","Distillate"," "," ",," "," " " "," ",,,,"Fuel Oil",,,"Coal",,"RSE" "NAICS"," ","

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

    U.S. 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

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

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

    4. End Uses of Fuel Consumption, 1998;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ",,,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","Net

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

    U.S. 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" " "," ","

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

    U.S. 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"," ","

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

    U.S. 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

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

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

    4 End Uses of Fuel Consumption, 2002;" " Level: National Data; " " Row: End Uses within NAICS Codes;" " Column: Energy Sources, including Net Demand for Electricity;" " Unit: Trillion Btu." " "," ",," ","Distillate"," "," ",," " " "," ","Net Demand",,"Fuel Oil",,,"Coal","RSE" "NAICS"," ","for

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

    U.S. 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)"

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

    U.S. 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

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

    U.S. 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)"

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

    U.S. 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

  7. Realizing Building End-Use Efficiency with Ermerging Technologies

    Broader source: Energy.gov [DOE]

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

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

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

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

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

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

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

  10. Office Buildings - End-Use Equipment

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

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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  13. Biomass Resource Allocation among Competing End Uses

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

    ... and wood-derived fuels, primarily wood pellets, accounted for 12% of total energy ... 85% 100,000 11.76 Woodagricultural pellets Ton 130.00 80% 15,000,000 10.83 ...

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

    SciTech Connect (OSTI)

    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.

  15. 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 ...

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

    U.S. 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" ...

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

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

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

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

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

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

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

    U.S. 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" ...

  20. Estimating Methods for Determining End-Use Water Consumption

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

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

    U.S. 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,...

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

    Gasoline and Diesel Fuel Update (EIA)

    -- -- -- 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...

  3. Energy End-Use Intensities in Commercial Buildings

    U.S. 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...

  4. Energy End-Use Intensities in Commercial Buildings

    Gasoline and Diesel Fuel Update (EIA)

    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...

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

    U.S. 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...

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

    U.S. 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" ...

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

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

    End-use Electricity Demand Volume 3 of 4 Volume 2 PDF Volume 3 PDF Volume 1 PDF Volume 4 PDF NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U.S. Department of Energy DeMeo, E. Renewable Energy Consulting Services, Inc. Reilly, J. Massachusetts Institute of Technology Mai,

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  10. Refining and End Use Study of Coal Liquids

    SciTech Connect (OSTI)

    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.

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

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

    6:35:35 AM" "Back to Contents","Data 1: U.S. Natural Gas Consumption by End Use" ...2","N3035US2","N3025US2","N3045US2" "Date","U.S. Natural Gas Total Consumption ...

  12. REFINING AND END USE STUDY OF COAL LIQUIDS

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: Energy.gov [DOE]

    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).

  16. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  18. 1999 Commercial Buildings Characteristics--End-Use Equipment

    U.S. 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...

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

    Open Energy Info (EERE)

    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...

  20. NREL: Energy Analysis - Kelsey A. W. Horowitz

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

    H. Lee, and G.P. Smestad. 2015. A bottom-up cost analysis of a high concentration PV module. ... Data Analysis and Visualization Group Energy Forecasting and Modeling Group Market and ...

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

    SciTech Connect (OSTI)

    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).

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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 .

  4. Biogas end-use in the European community

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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 (OSTI)

    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"

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

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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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 (OSTI)

    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 (OSTI)

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

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

    may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manu- facturing" "All ...5378,4653,4631,1926,"Q" "District Chilled Water ......",2853,2734,2853,2655,1274,"Q" ...

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

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

    than one may apply)" ,,"Space Heating","Cooling","Water Heating","Cooking","Manufact-uring",,"Space Heating","Cooling","Water Heating","Cooking","Manufact-uring" "All Buildings ...

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

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

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

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

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

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

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

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

  19. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect (OSTI)

    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.

  20. Table A13. Total Consumption of Offsite-Produced Energy for...

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

    3. Total Consumption of Offsite-Produced Energy for Heat, Power, and" " Electricity Generation by Census Region ... Office of Energy Markets and End" "Use, Energy End Use and ...

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

    U.S. 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

  2. Energy by State | Open Energy Information

    Open Energy Info (EERE)

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

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

    SciTech Connect (OSTI)

    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

  4. 1980 survey and evaluation of utility conservation, load management, and solar end-use projects. Volume 3: utility load management projects. Final report

    SciTech Connect (OSTI)

    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.

  5. 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.

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

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

    Updated Buildings Sector Appliance and Equipment Costs and Efficiencies April 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 Equipment Costs and Efficiencies i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are

  7. 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 ...

  8. Energy Analysis by Sector | Department of Energy

    Office of Environmental Management (EM)

    flows to major energy end uses in manufacturing and line colors indicate fuel, steam, electricity, and applied or lost ... compare energy consumption across manufacturing subsectors. ...

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

    U.S. 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 ...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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",...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

  19. Researching Energy Use in Hospitals

    Broader source: 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...

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

    SciTech Connect (OSTI)

    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.

  1. Save Energy Now Webcast: Energy Assessments: What are the Benefits...

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

    ... energy resource management Turbine-PRV management Condensing turbine operations Steam end-use management - Distribution system investigations Condensate and ...

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

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

    ..."Investor-owned",8097075,2268295,2959866,2868914,0 3,"Shell Energy North America (US), L.P.","Investor-owned",1278471,0,0,1278471,0 4,"Colorado River Comm of Nevada","Public",10359...

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

    U.S. 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,

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

    U.S. 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,

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

    U.S. 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,

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

    SciTech Connect (OSTI)

    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.

  7. Software Tools | Department of Energy

    Office of Environmental Management (EM)

    institutional facilities to track their energy consumption, factors related to energy use, and significant energy end-use. ... fuel, steam, or electricity, and identifies the most ...

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

    U.S. 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

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

    U.S. 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

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

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

    Florida" "megawatthours" ,"Entity","Type of provider","All sectors","Residential","Commercial","Industrial","Transportation" 1,"Florida Power & Light Co","Investor-owned",104431096,55224658,46172611,2942385,91442 2,"Duke Energy Florida, Inc","Investor-owned",37240099,19002681,14970106,3267312,0 3,"Tampa Electric

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

    U.S. 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

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

    U.S. 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,

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

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

    2 APPENDIX A FINAL EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference 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

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

    U.S. 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

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

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

    4 APPENDIX C EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Final DISCLAIMER This presentation was prepared as an account of work sponsored by

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

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

    5 APPENDIX D EIA - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case Presented to: U.S. Energy Information Administration Prepared by: Navigant Consulting, Inc. 1200 19th Street, NW, Suite 700 Washington, D.C. 20036 And SAIC 8301 Greensboro Drive McLean, VA 22102 December 19, 2012 Confidential and Proprietary, ©2012 Navigant Consulting, Inc. Do not distribute or copy Advanced Case Final DISCLAIMER This presentation was prepared as an account of work

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

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

    9,"Monthly","6/2016","1/15/1973" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"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)

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

    U.S. 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 -

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

    U.S. 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

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

    SciTech Connect (OSTI)

    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/

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

    SciTech Connect (OSTI)

    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).

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

    Gasoline and Diesel Fuel Update (EIA)

    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...

  10. Table 10.9 Photovoltaic Cell and Module Shipments by Sector and End Use, 1989-2010 (Peak Kilowatts )

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

    Photovoltaic Cell and Module Shipments by Sector and End Use, 1989-2010 (Peak Kilowatts 1 ) Year By Sector By End Use Total Residential Commercial 3 Industrial 4 Electric Power 5 Other 6 Grid-Connected 2 Off-Grid 2 Centralized 7 Distributed 8 Domestic 9 Non-Domestic 10 Total Shipments of Photovoltaic Cells and Modules 11<//td> 1989 1,439 6,057 [R] 3,993 785 551 [12] 1,251 [12] 2,620 8,954 12,825 1990 1,701 8,062 [R] 2,817 826 432 [12] 469 [12] 3,097 10,271 13,837 1991 3,624 5,715 [R] 3,947

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

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential Energy Consumption Survey (RECS) - U.S. Energy Information...

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

    This information is combined with data from energy suppliers to these homes to estimate energy costs and usage for heating, cooling, appliances and other end uses - information ...

  13. Commercial Buildings Energy Consumption and Expenditures 1992

    U.S. 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....

  14. Petroleum Refining (2010 MECS) | Department of Energy

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

    The energy pathway-from primary sources (fuel, steam, and electricity) to facility end use-is shown ... of energy use or compare energy consumption across manufacturing subsectors. ...

  15. Historical Monthly Energy Review

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

    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...

  16. Table 2.6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009

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

    6 Household End Uses: Fuel Types, Appliances, and Electronics, Selected Years, 1978-2009 Appliance Year Change 1978 1979 1980 1981 1982 1984 1987 1990 1993 1997 2001 2005 2009 1980 to 2009 Total Households (millions) 77 78 82 83 84 86 91 94 97 101 107 111 114 32 Percent of Households<//td> Space Heating - Main Fuel 1 Natural Gas 55 55 55 56 57 55 55 55 53 52 55 52 50 -5 Electricity 2 16 17 18 17 16 17 20 23 26 29 29 30 35 17 Liquefied Petroleum Gases 4 5 5 4 5 5 5 5 5 5 5 5 5 0 Distillate

  17. Experts Meeting: Behavioral Economics as Applied to Energy Demand...

    Gasoline and Diesel Fuel Update (EIA)

    ... project energy consumption for marketed energy sources plus distributed solar and geothermal energy. * Both the RDM and CDM include projections of energy consumption by end-use ...

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

    SciTech Connect (OSTI)

    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 (OSTI)

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

    Open Energy Info (EERE)

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

  1. Assessment of Energy Use in Multibuilding Facilities

    U.S. 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...

  2. Buildings and Energy in the 1980s

    U.S. 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...

  3. Who Uses Open Data? | Department of Energy

    Office of Environmental Management (EM)

    to convert energy resources - electricity, water, transportation, materials ... The survey provides region-specific data on end-use energy consumption patterns, such as the type ...

  4. Plastics and Rubber Products (2010 MECS) | Department of Energy

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

    The energy pathway-from primary sources (fuel, steam, and electricity) to facility end use-is shown ... of energy use or compare energy consumption across manufacturing subsectors. ...

  5. Glass and Glass Products (2010 MECS) | Department of Energy

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

    The energy pathway-from primary sources (fuel, steam, and electricity) to facility end use-is shown ... of energy use or compare energy consumption across manufacturing subsectors. ...

  6. 2014-04-30 Public Meeting Presentation Slides: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: 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.

  7. 2014-04-30 Public Meeting Agenda: Physical Characterization of Smart and Grid-Connected Commercial and Residential Buildings End-Use Equipment and Appliances

    Broader source: 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.

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

    Broader source: 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.

  9. Monthly Energy Review - March 2010

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

    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...

  10. Monthly Energy Review - May 2010

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

    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,...

  11. Monthly Energy Review - April 2010

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

    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...

  12. Monthly Energy Review - May 2010

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

    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...

  13. Monthly Energy Review - July 2010

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

    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...

  14. Monthly Energy Review - February 2010

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

    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...

  15. U.S. Energy Information Administration | State Energy Data 2014...

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) arrives at state end-use consumption estimates by individual energy ... net interstate flow of electricity (ELISB) and net imports of electricity (ELNIB). ...

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

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) Estimation of Energy End-use Consumption CBECS 2012 - Release date: March 18, 2016 2012 CBECS The energy end-use consumption tables for the 2012 CBECS (Detailed Tables E1-E 11) provide estimates of the amount of electricity, natural gas, fuel oil, and district heat used for ten end uses: space heating, cooling, ventilation, water heating, lighting, cooking, refrigeration, computing (including servers), office equipment, and other uses. Although details vary

  17. Annual Energy Outlook 2015 - Appendix A

    Gasoline and Diesel Fuel Update (EIA)

    6 Reference case Table A19. Energy-related carbon dioxide emissions by end use (million metric tons) Energy Information Administration / Annual Energy Outlook 2015 Table A19. Energy-related carbon dioxide emissions by end use (million metric tons) Sector and end use Reference case Annual growth 2013-2040 (percent) 2012 2013 2020 2025 2030 2035 2040 Residential Space heating ........................................................ 228 293 248 236 228 218 207 -1.3% Space cooling

  18. Manufacturing Consumption of Energy 1994

    U.S. 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...

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

    U.S. 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

  20. 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,

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

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

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

    SciTech Connect (OSTI)

    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

  3. Manufacturing consumption of energy 1991

    SciTech Connect (OSTI)

    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.

  4. Level: National and Regional Data; Row: Energy Sources; Column...

    Gasoline and Diesel Fuel Update (EIA)

    Consumption Consumption(a) Consumption(b) Total United States Electricity Receipts(c) (million ... Office of Energy Markets and End Use, Energy Consumption Division, ...

  5. 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 ...

  6. ITP Distributed Energy: Combined Heat and Power Market Assessment...

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

    * IndustrialAgriculturalWater End Use Energy Efficiency * Renewable Energy ... A-1&1; APPENDIX B: Electricity Consumption per Employee Estimates ......

  7. Barriers to Industrial Energy Efficiency - Study (Appendix A...

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

    Three groups of energy efficiency technologies and measures were examined: industrial end-use energy efficiency, industrial demand response, and industrial combined heat and power. ...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    SciTech Connect (OSTI)

    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.

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

    Broader source: 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

  14. 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.

  15. Energy Efficiency Program Impact Evaluation Guide

    Broader source: 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.

  16. U.S. Renewable Energy Policy and Industry

    SciTech Connect (OSTI)

    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.

  17. China Energy and Emissions Paths to 2030

    SciTech Connect (OSTI)

    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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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

  20. Next Generation Electric Machines | Department of Energy

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

    In 2013, electricity accounted for approximately 40% of primary energy consumption in the United States and ... manufacturing was responsible for more than a quarter of end-use. ...

  1. EIA - Annual Energy Outlook 2016 Early Release

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

    Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and ... Carbon Dioxide Emissions by End-Use Table 20. Macroeconomic Indicators ...

  2. EIA - Annual Energy Outlook 2014 Early Release

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

    Indicators and Delivered Energy Consumption Table 8. Electricity Supply, Disposition, Prices, and ... Carbon Dioxide Emissions by End-Use Table 20. Macroeconomic Indicators ...

  3. 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 ...

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

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

    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...

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

    Broader source: 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.

  6. Table 2.3 Manufacturing Energy Consumption for Heat, Power, and...

    U.S. 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 ...

  7. Buildings and Energy in the 1980s

    U.S. 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...

  8. Hydrogen Fuel Cell Basics | Department of Energy

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

    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 ...

  9. Buildings Energy Data Book

    Buildings Energy Data Book [EERE]

    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

  10. Household energy consumption and expenditures, 1987

    SciTech Connect (OSTI)

    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.

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

    Energy Savers [EERE]

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

  12. About EIA - Insideeia - U.S. Energy Information Administration...

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

    Survey, which is part of the Residential Energy Consumption Survey (RECS). Their poster compared the major electricity end-use estimates of an engineering calibration model to ...

  13. Chemicals Sector (NAICS 325) Energy and GHG Combustion Emissions...

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

    ... fuel use comprises the remaining 14% of primary energy consumption. ... fuel is consumed onsite in order to generate additional electricity and steam for the manufacturing end uses. ...

  14. Energy Savings Potential and R&D Opportunities for Commercial...

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

    ... 197 Appendix B Electricity Rate Data ... U.S. Primary Energy Consumption by Sector, 2006 ... of Commercial Buildings by End Use, 2006......

  15. Fuel Mix and Emissions Disclosure | Department of Energy

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

    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...

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

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

    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...

  17. Energy-Water Overview

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

    Overview of Emerging Issues and Challenges DOE/EIA 2010 Energy Conference Mike Hightower Sandia National Laboratories mmhight@sandia.gov, 505-844-5499 Energy and Water are ... Interdependent Water for Energy and Energy for Water Energy and power production require water: * Thermoelectric cooling * Hydropower * Energy minerals extraction/mining * Fuel Production (fossil fuels, H 2 , biofuels) * Emission control Water production, processing, distribution, and end-use require energy: * Pumping *

  18. 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

  19. Scenarios of energy demand and efficiency potential for Bulgaria

    SciTech Connect (OSTI)

    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}.

  20. Energy

    Broader source: All U.S. Department of Energy (DOE) Office 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 Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear Energy

  1. Buildings and Energy in the 1980's

    U.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...

  2. 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...

  3. Manufacturing Consumption of Energy 1994

    U.S. 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...

  4. Energy

    Broader source: All U.S. Department of Energy (DOE) Office 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 Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

  5. Energy

    Broader source: All U.S. Department of Energy (DOE) Office 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 Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy Nuclear

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

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

    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 ...

  7. International energy outlook 2006

    SciTech Connect (OSTI)

    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.

  8. Energy Footprint Tool with Sample Data

    Broader source: 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.

  9. Active Integrated Perimeter Building Systems | Department of Energy

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

    Active Integrated Perimeter Building Systems Active Integrated Perimeter Building Systems Integrated systems require seamless data exchange between controlled demand side end uses and supply side resources for optimal energy cost/ carbon minimization, comfort, and indoor environmental quality. Integrated systems require seamless data exchange between controlled demand side end uses and supply side resources for optimal energy cost/ carbon minimization, comfort, and indoor environmental quality.

  10. Forest Products Sector (NAICS 321 and 322) Energy and GHG Combustion...

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

    ... Offsite electricity losses account for 58% of electricity generation energy consumption (731 TBtu). Offsite generated electricity provides 326 TBtu to direct end uses (excludes ...

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

    U.S. 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 ...

  12. ENERGY

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

    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 ...

  13. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    Administration (EIA) U. S. Census Regions and Divisions: census map About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows Tool

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

    U.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-788 of the...

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

    SciTech Connect (OSTI)

    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?

  16. Energy Intensity Indicators: Caveats and Cautions

    Office of Energy Efficiency and Renewable Energy (EERE)

    This website contains a diverse collection of indicators that track changes in energy intensity at the national and end-use sector levels (after taking into account other explanatory factors)....

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

    Gasoline and Diesel Fuel Update (EIA)

    How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: ... ESS gathers data on how much electricity, natural gas, fuel oil, and propane were ...

  18. Healthcare Energy: Massachusetts General Hospital Gray Building

    Broader source: 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.

  19. Energy

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

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

    SciTech Connect (OSTI)

    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.

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

    Gasoline and Diesel Fuel Update (EIA)

    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

  2. Energy

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

    Energy Energy Research into alternative forms of energy, and improving and securing the power grid, is a major national security imperative. News Releases Science Briefs Photos Picture of the Week Publications Social Media Videos Fact Sheets Pajarito Powder, LLC, a fuel-cell-catalyst company based in Albuquerque, is one of the voucher recipients that will partner with Los Alamos. Fuel-cell technology companies win small-business aid Pajarito Powder, LLC, (Albuquerque), NanoSonic (Pembroke, Va.)

  3. Energy

    Office of Legacy Management (LM)

    ..) ".. _,; ,' . ' , ,; Depar?.me.nt ,of.' Energy Washington; DC 20585 : . ' , - $$ o"\ ' ~' ,' DEC ?;$ ;y4,,, ~ ' .~ The Honorable John Kalwitz , 200 E. Wells Street Milwaukee, W~isconsin 53202, . . i :. Dear,Mayor 'Kalwitz: " . " Secretary of Energy Hazel' O'Leary has announceha new,approach 'to,openness in " the Department of Ene~rgy (DOE) and its communications with'the public. In -. support of~this initiative, we areipleased to forward the enclosed information

  4. Current and future industrial energy service characterizations

    SciTech Connect (OSTI)

    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.

  5. Understanding the 2010 Manufacturing Energy and Carbon Footprints

    Broader source: Energy.gov [DOE]

    Each footprint visualizes the flow of energy (in the form of fuel, electricity, or steam) to major end uses in manufacturing, including boilers, power generators, process heaters, process coolers, machine-driven equipment, facility heating, ventilation, and air conditioning (HVAC), and lighting. The footprints present data at two levels of detail. The first page provides a high-level view of primary energy (offsite and onsite), while the second page shows details of how energy is distributed to onsite end uses.

  6. The Global Energy Challenge

    ScienceCinema (OSTI)

    Crabtree, George

    2010-01-08

    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.

  7. 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

  8. 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

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

    SciTech Connect (OSTI)

    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).

  10. Energy

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

    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...

  11. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    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.

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

    Reports and Publications (EIA)

    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.

  13. A National Perspective on Energy and Industry

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

    Using EIA's Energy Consumption Surveys to Analyze Energy Programs and Policies Steven Nadel American Council for an Energy-Efficient Economy EIA 2008 Energy Conference, April 7-8, 2008 The American Council for an Energy Efficient Economy (ACEEE) * Non-profit (501c (3)) dedicated to advancing energy efficiency through research and dissemination. * ~25 staffers in Washington DC, Delaware, Michigan and Wisconsin * Focus on End-Use Efficiency in Industry, Buildings, Utilities, Transportation, &

  14. U.S. Energy Information Administration | Quarterly Coal Report...

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

    U.S. Coal Consumption by End-Use Sector, 2008 - 2014 (thousand short tons) U.S. Energy ... independent power producers) comprises electricity-only and combined-heat-and-power (CHP) ...

  15. Analysis of Energy Efficiency Program Impacts Based on Program...

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

    ... In part this is because the initial end-use areas, although cost-effective, become saturated and this requires a broader effort if further energy savings are to be achieved. In ...

  16. "End Use","for Electricity(a)","Fuel Oil","Diesel Fuel(b)","Natural Gas(c)","NGL(d)","Coke and Breeze)"

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

    8 Relative Standard Errors for Table 5.8;" " Unit: Percents." ,,,"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

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

    Reports and Publications (EIA)

    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.

  18. Alaska Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Indiana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Kentucky Natural Gas Consumption by End Use

    U.S. 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...

  1. Michigan Natural Gas Consumption by End Use

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

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

  2. Oregon Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Florida Natural Gas Consumption by End Use

    U.S. 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...

  4. Minnesota Natural Gas Consumption by End Use

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

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

  5. Montana Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Ohio Natural Gas Consumption by End Use

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

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

  7. Colorado Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  8. California Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Maine Natural Gas Consumption by End Use

    U.S. 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...

  10. Wyoming Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Connecticut Natural Gas Consumption by End Use

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

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

  12. Georgia Natural Gas Consumption by End Use

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

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

  13. Michigan Natural Gas Consumption by End Use

    U.S. 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...

  14. Colorado Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Delaware Natural Gas Consumption by End Use

    U.S. 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...

  16. Vermont Natural Gas Consumption by End Use

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

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

  17. Alaska Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Indiana Natural Gas Consumption by End Use

    U.S. 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...

  19. Maryland Natural Gas Consumption by End Use

    U.S. 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...

  20. Wisconsin Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Utah Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  2. Mississippi Natural Gas Consumption by End Use

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

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

  3. Georgia Natural Gas Consumption by End Use

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

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

  4. Arkansas Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Vermont Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Louisiana Natural Gas Consumption by End Use

    U.S. 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...

  7. Maryland Natural Gas Consumption by End Use

    U.S. 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. Massachusetts Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Virginia Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Louisiana Natural Gas Consumption by End Use

    U.S. 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...

  11. Tennessee Natural Gas Consumption by End Use

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

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

  12. Tennessee Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Alabama Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Nevada Natural Gas Consumption by End Use

    U.S. 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...

  15. Pennsylvania Natural Gas Consumption by End Use

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

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

  16. Florida Natural Gas Consumption by End Use

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Mississippi Natural Gas Consumption by End Use

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

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

  18. Nebraska Natural Gas Consumption by End Use

    U.S. 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...

  19. Wyoming Natural Gas Consumption by End Use

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

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

  20. Utah Natural Gas Consumption by End Use

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

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

  1. Washington Natural Gas Consumption by End Use

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

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

  2. Missouri Natural Gas Consumption by End Use

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

    1,873 1,770 3,351 8,236 1989-2015 Commercial 1,960 2,021 2,299 2,254 3,585 5,631 1989-2015 Industrial 4,605 4,716 4,376 4,527 4,939 5,585 2001-2015 Vehicle Fuel 4 4 4 4 4 4...

  3. Washington Natural Gas Consumption by End Use

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

    1,649 2,519 4,019 9,599 1989-2015 Commercial 2,287 1,996 1,902 2,709 3,462 5,744 1989-2015 Industrial 5,770 5,477 5,625 5,921 6,680 NA 2001-2015 Vehicle Fuel 38 42 42 40 42 40...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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...

  7. Connecticut Natural Gas Consumption by End Use

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

    27,870 20,353 15,426 14,745 16,786 17,440 2001-2015 Residential 8,998 4,902 2,172 1,368 1,120 997 1989-2015 Commercial 7,504 4,556 2,676 2,295 2,379 2,512 1989-2015 Industrial...

  8. Nebraska Natural Gas Consumption by End Use

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

    19,067 15,537 12,431 10,937 9,153 NA 2001-2016 Residential 7,036 4,955 3,172 2,138 1,474 839 1989-2016 Commercial 5,010 3,780 2,543 1,754 1,326 1,019 1989-2016 Industrial 6,919 6,686 6,710 6,518 6,348 NA 2001-2016 Vehicle Fuel 5 5 5 5 5 5 2010-2016 Electric Power 97 112 W 522 W 1,442

  9. Nevada Natural Gas Consumption by End Use

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

    31,756 24,686 22,720 20,955 22,349 25,661 2001-2016 Residential 8,270 5,536 3,452 2,449 1,952 1,486 1989-2016 Commercial 4,301 3,370 2,766 2,390 2,155 1,760 1989-2016 Industrial 1,397 1,253 1,352 1,313 1,272 1,224 2001-2016 Vehicle Fuel 66 60 66 64 92 89 2010-2016 Electric Power 17,722 14,466 15,084 14,739 16,878 21,102

  10. Ohio Natural Gas Consumption by End Use

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

    34,276 114,778 85,486 73,503 50,657 46,879 2001-2016 Residential 54,170 44,070 26,847 21,400 10,492 4,857 1989-2016 Commercial 29,716 23,431 14,886 12,054 6,639 4,160 1989-2016 Industrial 30,442 27,882 25,455 23,410 21,942 20,194 2001-2016 Vehicle Fuel 33 30 33 32 47 46 2010-2016 Electric Power 19,915 19,365 18,265 16,608 11,537 17,623

  11. Oklahoma Natural Gas Consumption by End Use

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

    59,235 44,303 42,383 41,317 44,129 50,161 2001-2016 Residential 12,390 7,858 4,760 2,451 1,817 1,414 1989-2016 Commercial 7,380 5,031 3,417 2,202 2,081 1,556 1989-2016 Industrial 17,678 15,333 16,356 16,267 17,233 15,608 2001-2016 Vehicle Fuel 38 35 38 37 44 43 2010-2016 Electric Power 21,749 16,047 17,812 20,360 22,954 31,539

  12. Oregon Natural Gas Consumption by End Use

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

    27,245 22,360 19,860 12,135 11,000 14,482 2001-2016 Residential 7,032 4,943 4,595 2,280 1,648 1,173 1989-2016 Commercial 4,319 3,194 2,973 1,839 1,438 1,093 1989-2016 Industrial 5,503 4,856 4,991 4,543 4,515 4,214 2001-2016 Vehicle Fuel 17 15 17 17 16 15 2010-2016 Electric Power 10,374 9,351 7,284 3,456 3,384 7,988

  13. Pennsylvania Natural Gas Consumption by End Use

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

    133,446 119,940 96,223 83,241 72,611 76,819 2001-2016 Residential 46,310 38,599 23,070 17,375 9,570 5,241 1989-2016 Commercial 27,618 22,317 13,695 11,037 6,957 4,967 1989-2016 Industrial 23,708 23,498 22,659 21,209 20,216 19,280 2001-2016 Vehicle Fuel 35 31 35 33 37 36 2010-2016 Electric Power 35,776 35,495 36,765 33,585 35,830 47,294

  14. Kentucky Natural Gas Consumption by End Use

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

    1,294 858 858 912 845 1,565 1989-2015 Commercial 1,336 1,075 1,139 1,330 1,154 1,709 1989-2015 Industrial 8,722 8,564 8,478 8,791 8,464 8,840 2001-2015 Vehicle Fuel 0 2 2 2...

  15. Arkansas Natural Gas Consumption by End Use

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

    244,193 271,515 284,076 296,132 282,120 268,453 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 4,091 5,340 6,173 6,599 6,605 6,452 1983-2014 Plant Fuel 489 529 423 622 797 871...

  16. Alabama Natural Gas Consumption by End Use

    U.S. 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...

  17. Idaho Natural Gas Consumption by End Use

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

    78,166 75,647 77,343 83,274 98,843 87,647 1997-2014 Residential 25,531 23,975 26,666 23,924 27,370 24,616 1967-2014 Commercial 15,740 15,033 16,855 15,838 18,485 16,963...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

  9. Wisconsin Natural Gas Consumption by End Use

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

    66,422 57,410 49,673 39,929 NA NA 2001-2016 Residential 24,782 19,769 14,268 11,144 5,012 2,584 1989-2016 Commercial 15,417 13,091 9,179 7,139 4,535 3,134 1989-2016 Industrial 15,948 14,197 12,910 11,800 NA NA 2001-2016 Vehicle Fuel 11 10 11 11 13 12 2010-2016 Electric Power 10,264 10,342 13,305 9,836 9,830 11,626

  10. Iowa Natural Gas Consumption by End Use

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

    40,243 34,191 28,634 22,307 20,896 19,116 2001-2016 Residential 13,190 10,164 6,736 4,552 2,108 1,120 1989-2016 Commercial 8,771 7,041 4,879 3,435 2,066 1,568 1989-2016 Industrial 16,580 15,443 15,476 13,370 14,096 14,144 2001-2016 Vehicle Fuel 2 2 2 2 2 2 2010-2016 Electric Power 1,700 1,542 1,541 948 2,624 2,281

  11. Massachusetts Natural Gas Consumption by End Use

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

    50,460 46,930 39,433 34,409 29,847 26,912 2001-2016 Residential 20,032 18,664 14,183 10,379 5,800 2,893 1989-2016 Commercial 15,256 13,347 10,090 8,352 5,401 3,616 1989-2016 Industrial 5,486 5,065 4,491 4,080 3,114 2,792 2001-2016 Vehicle Fuel 77 70 77 75 68 66 2010-2016 Electric Power 9,608 9,783 10,592 11,523 15,463 17,545

  12. Montana Natural Gas Consumption by End Use

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

    9,465 7,453 NA NA 3,842 NA 2001-2016 Residential 3,276 2,376 2,083 1,336 968 534 1989-2016 Commercial 3,244 2,434 2,271 1,487 1,157 778 1989-2016 Industrial 2,128 1,911 NA NA 1,716 NA 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 816 732 699 W W 798

  13. Maine Natural Gas Consumption by End Use

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

    7,575 71,690 68,266 64,091 60,661 1997-2014 Pipeline & Distribution Use 1,753 2,399 762 844 1,300 1997-2014 Volumes Delivered to Consumers 75,821 69,291 67,504 63,247 59,362 NA ...

  14. Hawaii Natural Gas Consumption by End Use

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

    2,607 2,627 2,619 2,689 2,855 2,928 1997-2014 Pipeline & Distribution Use 2 2 2 3 1 1 2004-2014 Volumes Delivered to Consumers 2,605 2,625 2,616 2,687 2,853 2,927 1997-2014...

  15. Missouri Natural Gas Consumption by End Use

    U.S. 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 ...

  16. Kansas Natural Gas Consumption by End Use

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

    Commercial 1,755 2,731 4,161 5,913 4,247 2,266 1989-2016 Industrial 8,738 8,919 11,086 11,471 9,114 8,667 2001-2016 Vehicle Fuel 1 1 1 1 1 1 2010-2016 Electric Power W W 804 725 ...

  17. Texas Natural Gas Consumption by End Use

    U.S. 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...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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...

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

    U.S. 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 ...

  12. Kansas Natural Gas Consumption by End Use

    U.S. 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...

  13. Arizona Natural Gas Consumption by End Use

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

    9,020 35,358 38,296 42,000 35,461 29,557 2001-2015 Residential 1,805 1,303 1,056 971 1,072 1,334 1989-2015 Commercial 2,204 1,878 1,758 1,654 1,714 1,918 1989-2015 Industrial 1,611...

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

    U.S. 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 ...

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

    U.S. 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 ...

  16. Virginia Natural Gas Consumption by End Use

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

    37,648 33,817 27,516 36,489 44,149 NA 2001-2016 Residential 1,442 1,913 3,395 6,309 7,966 17,223 1989-2016 Commercial 2,587 3,658 4,647 6,019 6,065 11,580 1989-2016 Industrial ...

  17. Arizona Natural Gas Consumption by End Use

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

    369,739 330,914 288,802 332,068 332,073 307,946 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 17 19 17 12 4 3 1983-2014 Pipeline & Distribution Use 20,846 15,447 13,158...

  18. Oklahoma Natural Gas Consumption by End Use

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

    675,727 655,919 691,661 658,569 640,607 1997-2014 Lease and Plant Fuel 1967-1998 Lease Fuel 39,489 40,819 43,727 45,581 50,621 1983-2014 Plant Fuel 23,238 24,938 27,809 32,119 ...

  19. Texas Natural Gas Consumption by End Use

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

    Commercial 10,313 12,553 17,584 22,844 19,794 14,719 1989-2016 Industrial 128,958 134,340 141,897 145,142 132,333 138,685 2001-2016 Vehicle Fuel 300 290 300 333 301 333 2010-2016 ...

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

    U.S. 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...

  1. California Natural Gas Consumption by End Use

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

    222,856 173,160 162,594 146,734 147,269 165,474 2001-2016 Residential 69,466 43,542 39,610 28,072 24,657 21,153 1989-2016 Commercial 26,589 21,340 20,427 17,119 16,382 15,903 1989-2016 Industrial 64,347 58,941 62,711 61,587 63,299 62,742 2001-2016 Vehicle Fuel 1,565 1,413 1,565 1,514 1,447 1,400 2010-2016 Electric Power 60,889 47,924 38,281 38,443 41,483 64,275

  2. Delaware Natural Gas Consumption by End Use

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

    9,040 8,389 8,707 8,781 7,721 9,045 2001-2016 Residential 2,084 1,879 1,135 823 475 231 1989-2016 Commercial 2,003 1,658 1,113 934 695 535 1989-2016 Industrial 2,821 2,517 2,666 2,464 2,643 2,335 2001-2016 Vehicle Fuel 0 0 0 0 0 0 2010-2016 Electric Power 2,132 2,335 3,792 4,559 3,908 5,944

  3. Hawaii Natural Gas Consumption by End Use

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

    259 247 248 256 243 240 2001-2016 Residential 52 47 49 51 44 45 1989-2016 Commercial 159 155 157 162 151 154 1989-2016 Industrial 47 44 41 42 47 41 2001-2016 Vehicle Fuel 1 1 1 1 0 0 2010-2016 Electric Power -- -- -- -- -- --

  4. Idaho Natural Gas Consumption by End Use

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

    3,779 11,067 9,200 4,791 5,641 5,396 2001-2016 Residential 4,467 3,241 2,532 1,291 881 580 1989-2016 Commercial 2,781 2,076 1,705 992 851 653 1989-2016 Industrial 3,647 3,335 3,186 2,494 2,463 2,137 2001-2016 Vehicle Fuel 15 13 15 14 14 14 2010-2016 Electric Power 2,870 2,401 1,763 W 1,431 2,013

  5. Illinois Natural Gas Consumption by End Use

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

    51,423 128,292 97,792 76,907 54,445 NA 2001-2016 Residential 78,595 62,355 41,165 30,201 15,563 9,476 1989-2016 Commercial 35,911 30,543 21,363 15,810 9,712 7,250 1989-2016 Industrial 28,674 26,493 24,050 21,279 19,731 NA 2001-2016 Vehicle Fuel 32 29 32 31 38 37 2010-2016 Electric Power 8,211 8,872 11,181 9,587 9,400 13,205

  6. Minnesota Natural Gas Consumption by End Use

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

    22,872 27,097 35,845 NA NA NA 2001-2016 Residential 2,362 5,207 10,741 18,067 24,809 NA 1989-2016 Commercial 2,786 5,206 8,381 12,550 16,259 14,811 1989-2016 Industrial 11,305 ...

  7. End-Use Taxes: Current EIA Practices

    U.S. 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...

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

    U.S. 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...

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

    U.S. 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...

  10. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    5 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F1. Total world delivered energy consumption by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 9.5 9.5 9.1 8.9 8.7 8.5 8.3 -0.4 Natural gas 19.9 20.8 22.6 24.8 27.1 29.0 30.8 1.5 Coal 4.6 4.4 4.5 4.5 4.4 4.4 4.3 -0.3

  11. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    5 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F11. Delivered energy consumption in Russia by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 0.3 0.3 0.3 0.3 0.3 0.3 0.3 -0.7 Natural gas 2.8 2.7 2.8 2.9 3.1 3.3 3.5 0.8 Coal 0.3 0.3 0.3 0.3 0.2 0.2 0.2 -1.5 Electricity 0.4

  12. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    7 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F13. Delivered energy consumption in China by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 1.2 1.1 1.1 1.1 1.0 1.0 0.9 -1.0 Natural gas 0.9 1.6 2.5 3.5 4.7 5.9 7.1 7.2 Coal 3.0 2.9 3.0 3.0 3.0 3.0 2.9 -0.2 Electricity 1.8

  13. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    9 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F15. Delivered energy consumption in Other Non-OECD Asia by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 0.5 0.5 0.5 0.5 0.6 0.6 0.6 0.3 Natural gas 0.4 0.4 0.6 0.7 0.8 0.9 1.1 3.7 Coal 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.4

  14. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    1 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F17. Delivered energy consumption in Africa by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 0.7 0.7 0.7 0.7 0.7 0.8 0.8 0.5 Natural gas 0.2 0.2 0.3 0.3 0.4 0.5 0.6 3.4 Coal 0.1 0.1 0.1 0.1 0.1 0.2 0.2 2.5 Electricity 0.6

  15. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    3 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F19. Delivered energy consumption in Other Central and South America by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 0.3 0.4 0.3 0.3 0.3 0.3 0.3 -0.1 Natural gas 0.4 0.5 0.6 0.7 0.8 1.0 1.1 3.2 Coal 0.0 0.0 0.0 0.0 0.0 0.0

  16. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    7 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F3. Delivered energy consumption in the United States by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 1.1 1.1 1.0 1.0 0.9 0.9 0.9 -1.0 Natural gas 4.9 4.8 4.6 4.5 4.5 4.3 4.2 -0.5 Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -1.6

  17. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    9 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F5. Delivered energy consumption in Mexico and Chile by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 0.3 0.3 0.3 0.3 0.3 0.3 0.3 0.1 Natural gas 0.1 0.1 0.1 0.1 0.1 0.1 0.1 3.4 Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.2

  18. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    1 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F7. Delivered energy consumption in Japan by end-use sector and fuel, 2010-2040 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 0.6 0.5 0.5 0.5 0.5 0.4 0.4 -1.2 Natural gas 0.4 0.4 0.4 0.5 0.5 0.5 0.5 0.3 Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Electricity 1.1 1.2

  19. International Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    3 U.S. Energy Information Administration | International Energy Outlook 2013 Reference case projections by end-use sector and country grouping Table F9. Delivered energy consumption in Australia/New Zealand by end-use sector and fuel, 2008-2035 (quadrillion Btu) Sector/fuel Projections Average annual percent change, 2010-2040 2010 2015 2020 2025 2030 2035 2040 Residential Liquids 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -- Natural gas 0.1 0.1 0.2 0.2 0.2 0.2 0.2 1.5 Coal 0.0 0.0 0.0 0.0 0.0 0.0 0.0 --

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

    SciTech Connect (OSTI)

    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.

  1. Manufacturing Energy and Carbon Footprints (2006 MECS)

    Broader source: 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.

  2. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    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.

  3. Industrial Facility Combustion Energy Use

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

    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.

  4. Petroleum: An energy profile, 1999

    SciTech Connect (OSTI)

    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.

  5. 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

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

    SciTech Connect (OSTI)

    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.

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

    U.S. 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

  8. 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

  9. Manufacturing Energy and Carbon Footprints (2006 MECS) | Department of

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

    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

  10. ENERGY INFORMATION CLEARINGHOUSE

    SciTech Connect (OSTI)

    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.

  11. International Energy Outlook 2016-Electricity - Energy Information

    Gasoline and Diesel Fuel Update (EIA)

    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

  12. Assessing Internet energy intensity: A review of methods and results

    SciTech Connect (OSTI)

    Coroama, Vlad C.; Hilty, Lorenz M.; Empa, Swiss Federal Laboratories for Materials Science and Technology, Lerchenfeldstr. 5, 9014 St. Gallen; Centre for Sustainable Communications, KTH Royal Institute of Technology, Lindstedtsvgen 5, 100 44 Stockholm

    2014-02-15

    Assessing the average energy intensity of Internet transmissions is a complex task that has been a controversial subject of discussion. Estimates published over the last decade diverge by up to four orders of magnitude from 0.0064 kilowatt-hours per gigabyte (kWh/GB) to 136 kWh/GB. This article presents a review of the methodological approaches used so far in such assessments: i) topdown analyses based on estimates of the overall Internet energy consumption and the overall Internet traffic, whereby average energy intensity is calculated by dividing energy by traffic for a given period of time, ii) model-based approaches that model all components needed to sustain an amount of Internet traffic, and iii) bottomup approaches based on case studies and generalization of the results. Our analysis of the existing studies shows that the large spread of results is mainly caused by two factors: a) the year of reference of the analysis, which has significant influence due to efficiency gains in electronic equipment, and b) whether end devices such as personal computers or servers are included within the system boundary or not. For an overall assessment of the energy needed to perform a specific task involving the Internet, it is necessary to account for the types of end devices needed for the task, while the energy needed for data transmission can be added based on a generic estimate of Internet energy intensity for a given year. Separating the Internet as a data transmission system from the end devices leads to more accurate models and to results that are more informative for decision makers, because end devices and the networking equipment of the Internet usually belong to different spheres of control. -- Highlights: Assessments of the energy intensity of the Internet differ by a factor of 20,000. We review topdown, model-based, and bottomup estimates from literature. Main divergence factors are the year studied and the inclusion of end devices. We argue

  13. Assumptions to the Annual Energy Outlook 2015

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

    47 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy-intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing

  14. 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

  15. 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,

  16. Army Energy and Water Reporting System Assessment

    SciTech Connect (OSTI)

    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

  17. Home Energy Saver v.2.0

    Energy Science and Technology Software Center (OSTI)

    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

  18. Overview of energy-conservation research opportunities

    SciTech Connect (OSTI)

    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. Household energy consumption and expenditures, 1990

    SciTech Connect (OSTI)

    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.

  20. Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012

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

    Definitions and Assumptions A number of key terms are used to interpret the manufacturing energy and carbon footprints. The terms associated with the energy footprint analysis are defined below, in the order they generally appear in the footprint energy flow, starting from offsite energy and then continuing to onsite energy end uses and loss assumptions. Key definitions and assumptions associated with the carbon footprint analysis are shown on pages 7 and 8. Energy Footprint Analysis Definitions

  1. 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

  2. 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,

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

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

    5 Household 1 Energy Consumption and Expenditures by End Use, Selected Years, 1978-2005 Year Space ... 3 Fuel Oil 4 LPG 5 Total Electricity 3 Natural Gas Elec- tricity 3 ...

  4. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update (EIA)

    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...

  5. EIA Energy Efficiency-Table 1b. Fuel Consumption for Selected...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  6. EIA Energy Efficiency-Table 2b. Primary Fuel Consumption for...

    Gasoline and Diesel Fuel Update (EIA)

    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...

  7. Energy 101: Geothermal Energy | Department of Energy

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

    Geothermal Energy Energy 101: Geothermal Energy

  8. 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

  9. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    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.

  10. 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.

  11. 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

  12. Pump Selection Considerations | Department of Energy

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

    Selection Considerations Pump Selection Considerations This tip sheet outlines important pump selection considerations, including fluid properties and pumping system end use requirements. PUMPING SYSTEMS TIP SHEET #2 Pump Selection Considerations (October 2005) (199.99 KB) More Documents & Publications Select an Energy-Efficient Centrifugal Pump Pumping System Assessment Tool Overview Conduct an In-Plant Pumping System Survey

  13. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    SciTech Connect (OSTI)

    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.

  14. Bottoms-Up In-Situ Vitrification Of Hard-to-Treat Buried Mixed Wastes, CRADA Final Report ORNL99-0543

    SciTech Connect (OSTI)

    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

  15. "Bottom-up" meets "top-down" : self-assembly to direct manipulation of nanostructures on length scales from atoms to microns.

    SciTech Connect (OSTI)

    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.

  16. Residential energy use in Mexico: Structure, evolution, environmental impacts, and savings potential

    SciTech Connect (OSTI)

    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.

  17. 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.

  18. Calendar Year 2007 Program Benefits for U.S. EPA Energy Star Labeled Products: Expanded Methodology

    SciTech Connect (OSTI)

    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.

  19. Proceedings of the DOE chemical energy storage and hydrogen energy systems contracts review

    SciTech Connect (OSTI)

    Not Available

    1980-02-01

    Sessions were held on electrolysis-based hydrogen storage systems, hydrogen production, hydrogen storage systems, hydrogen storage materials, end-use applications and system studies, chemical heat pump/chemical energy storage systems, systems studies and assessment, thermochemical hydrogen production cycles, advanced production concepts, and containment materials. (LHK)

  20. Supplement to the Annual Energy Outlook 1993

    SciTech Connect (OSTI)

    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.