National Library of Energy BETA

Sample records for buildings electricity emission

  1. Buildings Energy Data Book: 6.4 Electric and Generic Quad Carbon Emissions

    Buildings Energy Data Book [EERE]

    1 Emissions of Carbon Dioxide from Electric Utilities (Million Metric Tons) 1990 1,831 1991 1,830 1992 1,843 1993 1,919 1994 1,944 1995 1,960 1996 2,033 1997 2,101 1998 2,192 1999 2,204 2000 2,310 2001 2,273 2002 2,288 2003 2,319 2004 2,352 2005 2,417 2006 2,359 2007 2,426 2008 2,374 2009 2,160 2010 2,271 2011 2,240 2012 2,140 2013 2,094 2014 2,059 2015 2,039 2016 2,053 2017 2,088 2018 2,108 2019 2,130 2020 2,136 2021 2,148 2022 2,165 2023 2,189 2024 2,203 2025 2,234 2026 2,250 2027 2,270 2028

  2. Buildings Energy Data Book: 6.4 Electric and Generic Quad Carbon Emissions

    Buildings Energy Data Book [EERE]

    2 Electric Quad Average Carbon Dioxide Emissions with Average Utility Fuel Mix (Million Metric Tons) (1) Petroleum Natural Gas Coal Nuclear Renewable Total 2010 0.83 10.14 46.45 0.00 0.30 57.72 2011 0.00 0.21 0.00 0.00 0.00 0.21 2012 0.00 0.65 0.00 0.00 0.00 0.65 2013 0.00 0.16 0.00 0.00 0.00 0.16 2014 0.00 0.61 0.00 0.00 0.00 0.61 2015 0.00 1.04 0.00 0.00 0.00 1.04 2016 0.00 0.83 0.00 0.00 0.00 0.83 2017 0.00 0.58 0.00 0.00 0.00 0.58 2018 0.00 0.62 0.00 0.00 0.00 0.62 2019 0.00 0.70 0.00 0.00

  3. UNDP-Low Emission Capacity Building Programme | Open Energy Informatio...

    Open Energy Info (EERE)

    Capacity Building Programme Jump to: navigation, search Logo: UNDP-Low Emission Capacity Building Programme Name UNDP-Low Emission Capacity Building Programme AgencyCompany...

  4. Buildings Energy Data Book: 3.4 Commercial Environmental Emissions

    Buildings Energy Data Book [EERE]

    6 2009 Methane Emissions for U.S. Commercial Buildings Energy Production, by Fuel Type (1) Fuel Type Petroleum 0.5 Natural Gas 26.8 Coal 0.3 Wood 0.4 Electricity (2) 50.5 Total 78.5 Note(s): Source(s): MMT CO2 Equivalent 1) Sources of emissions include oil and gas production, processing, and distribution; coal mining; and utility and site combustion. Carbon Dioxide equivalent units are calculated by converting methane emissions to carbon dioxide emissions (methane's global warming potential is

  5. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

    This paper presents the modeling methodology, projected market penetration, and impact of distributed generation with respect to offsetting future electricity needs and carbon dioxide emissions in the residential and commercial buildings sector in the Annual Energy Outlook 2000 (AEO2000) reference case.

  6. Advanced Residential Buildings Research; Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

    Factsheet describing the Advanced Residential Buildings Research group within NREL's Electricity, Resources, and Buildings Systems Integration Center.

  7. Advanced Commercial Buildings Research; Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

    Factsheet describing the Advanced Commercial Buildings Research group within NREL's Electricity, Resources, and Buildings Systems Integration Center.

  8. Analysis of electric vehicle interconnection with commercial building microgrids

    SciTech Connect (OSTI)

    Stadler, Michael; Mendes, Goncalo; Marnay, Chris; Mé gel, Olivier; Lai, Judy

    2011-04-01

    The outline of this presentation is: (1) global concept of microgrid and electric vehicle (EV) modeling; (2) Lawrence Berkeley National Laboratory's Distributed Energy Resources Customer Adoption Model (DER-CAM); (3) presentation summary - how does the number of EVs connected to the building change with different optimization goals (cost versus CO{sub 2}); (3) ongoing EV modeling for California: the California commercial end-use survey (CEUS) database, objective: 138 different typical building - EV connections and benefits; (4) detailed analysis for healthcare facility: optimal EV connection at a healthcare facility in southern California; and (5) conclusions. Conclusions are: (1) EV Charging/discharging pattern mainly depends on the objective of the building (cost versus CO{sub 2}); (2) performed optimization runs show that stationary batteries are more attractive than mobile storage when putting more focus on CO{sub 2} emissions. Why? Stationary storage is available 24 hours a day for energy management - more effective; (3) stationary storage will be charged by PV, mobile only marginally; (4) results will depend on the considered region and tariff - final work will show the results for 138 different buildings in nine different climate zones and three major utility service territories.

  9. Building a 21st Century Electric Grid | Department of Energy

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

    21st Century Electric Grid Building a 21st Century Electric Grid June 7, 2013 - 4:22pm Addthis Photo courtesy of the Pacific Northwest National Laboratory. Photo courtesy of the ...

  10. Buildings Energy Data Book: 3.4 Commercial Environmental Emissions

    Buildings Energy Data Book [EERE]

    1 Carbon Dioxide Emissions for U.S. Commercial Buildings, by Year (Million Metric Tons) (1) Commercial U.S. Site Growth Rate Growth Rate Com.% Com.% Fossil Electricity Total 2010-Year Total 2010-Year of Total U.S. of Total Global 1980 245 409 653 4,723 14% 3.5% 1981 226 427 653 4,601 14% 3.6% 1982 226 426 653 4,357 15% 3.6% 1983 226 434 659 4,332 15% 3.6% 1984 236 455 691 4,561 15% 3.6% 1985 217 477 695 4,559 15% 3.6% 1986 216 481 698 4,564 15% 3.5% 1987 220 503 723 4,714 15% 3.5% 1988 230 531

  11. Buildings Energy Data Book: 3.4 Commercial Environmental Emissions

    Buildings Energy Data Book [EERE]

    2 2010 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 211.9 211.9 20.4% Space Heating 87.4 10.2 6.7 0.3 17.3 5.6 50.5 160.7 15.5% Space Cooling 2.3 149.1 151.3 14.6% Ventilation 95.2 95.2 9.2% Refrigeration 69.1 69.1 6.7% Electronics 46.4 46.4 4.5% Water Heating 23.2 2.0 2.0 16.2 41.4 4.0% Computers 37.7 37.7 3.6% Cooking 9.5 4.1 13.6 1.3%

  12. Buildings Energy Data Book: 3.4 Commercial Environmental Emissions

    Buildings Energy Data Book [EERE]

    3 2015 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 160.0 160.0 16.6% Space Heating 89.9 9.0 6.2 0.3 15.5 5.5 26.4 137.3 14.2% Space Cooling 1.9 80.0 81.9 8.5% Ventilation 85.0 85.0 8.8% Refrigeration 55.8 55.8 5.8% Electronics 49.9 49.9 5.2% Water Heating 25.5 2.0 2.0 14.3 41.8 4.3% Computers 30.0 30.0 3.1% Cooking 10.2 3.6 13.8 1.4%

  13. Buildings Energy Data Book: 3.4 Commercial Environmental Emissions

    Buildings Energy Data Book [EERE]

    4 2025 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 171.2 171.2 16.1% Space Heating 89.4 7.7 6.3 0.4 14.3 5.5 25.7 135.0 12.7% Ventilation 94.4 94.4 8.9% Space Cooling 1.8 81.5 83.3 7.8% Electronics 63.8 63.8 6.0% Refrigeration 53.7 53.7 5.1% Computers 31.2 31.2 2.9% Water Heating 27.5 2.3 2.3 14.0 43.7 4.1% Cooking 11.0 3.5 14.5 1.4%

  14. Buildings Energy Data Book: 3.4 Commercial Environmental Emissions

    Buildings Energy Data Book [EERE]

    5 2035 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 179.6 179.6 15.5% Space Heating 87.3 6.7 6.6 0.4 13.7 5.5 25.5 132.0 11.4% Ventilation 100.7 100.7 8.7% Space Cooling 1.7 84.1 85.8 7.4% Electronics 72.3 72.3 6.2% Refrigeration 55.6 55.6 4.8% Water Heating 28.8 2.5 2.5 13.3 44.7 3.9% Computers 33.6 33.6 2.9% Cooking 11.9 3.4 15.2 1.3%

  15. Building

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

    DIV. Electricity Consumption and Expenditure Intensities by Census Division, 1999" ,"Electricity Consumption",,,"Electricity Expenditures" ,"per Building (thousand kWh)","per...

  16. System Simulations of Hybrid Electric Vehicles with Focus on Emissions |

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

    Department of Energy System Simulations of Hybrid Electric Vehicles with Focus on Emissions System Simulations of Hybrid Electric Vehicles with Focus on Emissions Comparative simulations of hybrid electric vehicles with gasoline and diesel engines will be conducted with focus on emissions control. PDF icon deer10_gao.pdf More Documents & Publications PHEV Engine and Aftertreatment Model Development Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis PHEV Engine and

  17. Energy efficiency indicators for high electric-load buildings

    SciTech Connect (OSTI)

    Aebischer, Bernard; Balmer, Markus A.; Kinney, Satkartar; Le Strat, Pascale; Shibata, Yoshiaki; Varone, Frederic

    2003-06-01

    Energy per unit of floor area is not an adequate indicator for energy efficiency in high electric-load buildings. For two activities, restaurants and computer centres, alternative indicators for energy efficiency are discussed.

  18. Development of the Electricity Carbon Emission Factors for Russia...

    Open Energy Info (EERE)

    Russia Jump to: navigation, search Name Development of the Electricity Carbon Emission Factors for Russia AgencyCompany Organization European Bank for Reconstruction and...

  19. Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric

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

    Dune Buggy Camp Discovery Helps Kids Build an Electric Dune Buggy to someone by E-mail Share Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Facebook Tweet about Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Twitter Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Google Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune

  20. Material Handling Fuel Cells for Building Electric Peak Shaving Applications

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

    Material Handling Fuel Cells for Building Electric Peak Shaving Applications U.S. Department of Energy Fuel Cell Technologies Office August 11, 2015 Presenter: Michael Penev of NREL DOE Host: Pete Devlin 2 Question and Answer * Please type your question into the question box hydrogenandfuelcells.energy.gov 3 Acknowledgments Fuel Cell Technologies Office, DOE EERE For providing funding for this project and for supporting sustainable hydrogen technology development through analysis, demonstration,

  1. Evaluation of the Contribution of the Building Sector to PM2.5 Emissions in China

    SciTech Connect (OSTI)

    Khanna, Nina; Zhou, Nan; Ke, Jing; Fridley, David

    2014-11-01

    In this study, we quantify the current and potential contribution of China’s building sector to direct primary and indirect PM2.5 emissions and co-benefits of key pollution reduction strategies of energy efficiency, fuel switching and pollution control technologies on PM2.5 emissions reduction. We use a bottom-up end-use accounting model to model residential and commercial buildings’ coal demand for heating and electricity demand in China’s Northern and Transition climate zones from 2010 to 2030. The model is then used to characterize the current coal-based heating (e.g., district heating, combined heat and power generation, small-scale coal-fired boilers) and power generation technologies to estimate direct and indirect PM2.5 emissions. Model scenarios are developed to evaluate and compare the potential co-benefits of efficiency improvements, fuel switching and pollution control technologies in reducing building-related direct and indirect PM2.5 emissions. An alternative pathway of development in which district heating is introduced to China’s Transition zone to meet growing demand for heat is also modeled to evaluate and quantify the potential impact on PM2.5 emissions.

  2. Thermal Systems Group; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-11-01

    Factsheet developed to describe the activites of the Thermal Systems Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  3. Positioning the electric utility to build information infrastructure

    SciTech Connect (OSTI)

    Not Available

    1994-11-01

    In two particular respects (briefly investigated in this study from a lawyer`s perspective), electric utilities appear uniquely well-positioned to contribute to the National Information Infrastructure (NII). First of all, utilities have legal powers derived from their charters and operating authorities, confirmed in their rights-of-way, to carry out activities and functions necessary for delivering electric service. These activities and functions include building telecommunications facilities and undertaking information services that have become essential to managing electricity demand and supply. The economic value of the efficiencies made possible by telecommunications and information could be substantial. How great remains to be established, but by many estimates electric utility applications could fund a significant share of the capital costs of building the NII. Though utilities` legal powers to pursue such efficiencies through telecommunications and information appear beyond dispute, it is likely that the effort to do so will produce substantial excess capacity. Who will benefit from this excess capacity is a potentially contentious political question that demands early resolution. Will this windfall go to the utility, the customer, or no one (because of political paralysis), or will there be some equitable and practical split? A second aspect of inquiry here points to another contemporary issue of very great societal importance that could very well become the platform on which the first question can be resolved fortuitously-how to achieve universal telecommunications service. In the effort to fashion the NII that will now continue, ways and means to maximize the unique potential contribution of electric utilities to meeting important social and economic needs--in particular, universal service--merit priority attention.

  4. Electric power plant emissions and public health

    SciTech Connect (OSTI)

    O'Connor, A.B.; Roy, C.

    2008-02-15

    The generation of electric power is one important source of pollutants such as mercury, sulfur dioxide, nitrogen oxides, and fine particulate matter that can affect the respiratory, cardiovascular, and central nervous systems and cause pregnancy complications. But protecting people from environmental health hazards has become increasingly complex. Air pollutants are often invisible and travel many miles virtually undetected. Nurses can play a critical role in preventive strategies, as well as in the national debate on energy production and dependence on fossil fuels.

  5. Alternative Fuels Data Center: Emissions from Hybrid and Plug-In Electric

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

    Vehicles Emissions from Hybrid and Plug-In Electric Vehicles to someone by E-mail Share Alternative Fuels Data Center: Emissions from Hybrid and Plug-In Electric Vehicles on Facebook Tweet about Alternative Fuels Data Center: Emissions from Hybrid and Plug-In Electric Vehicles on Twitter Bookmark Alternative Fuels Data Center: Emissions from Hybrid and Plug-In Electric Vehicles on Google Bookmark Alternative Fuels Data Center: Emissions from Hybrid and Plug-In Electric Vehicles on Delicious

  6. Gasoline Hybrid Electric Delivery Vehicles Reduce Tailpipe Emissions While

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

    Maintaining Fuel Economy - News Releases | NREL Gasoline Hybrid Electric Delivery Vehicles Reduce Tailpipe Emissions While Maintaining Fuel Economy February 23, 2011 The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) recently completed a yearlong technology evaluation of gasoline hybrid electric (gHEV) trucks compared with conventional diesel vehicles. A report released this week details NREL's efforts to determine the impact of hybridization on performance,

  7. Distributed Energy Resources On-Site Optimization for Commercial Buildings with Electric and Thermal Storage Technologies

    SciTech Connect (OSTI)

    Lacommare, Kristina S H; Stadler, Michael; Aki, Hirohisa; Firestone, Ryan; Lai, Judy; Marnay, Chris; Siddiqui, Afzal

    2008-05-15

    The addition of storage technologies such as flow batteries, conventional batteries, and heat storage can improve the economic as well as environmental attractiveness of on-site generation (e.g., PV, fuel cells, reciprocating engines or microturbines operating with or without CHP) and contribute to enhanced demand response. In order to examine the impact of storage technologies on demand response and carbon emissions, a microgrid's distributed energy resources (DER) adoption problem is formulated as a mixed-integer linear program that has the minimization of annual energy costs as its objective function. By implementing this approach in the General Algebraic Modeling System (GAMS), the problem is solved for a given test year at representative customer sites, such as schools and nursing homes, to obtain not only the level of technology investment, but also the optimal hourly operating schedules. This paper focuses on analysis of storage technologies in DER optimization on a building level, with example applications for commercial buildings. Preliminary analysis indicates that storage technologies respond effectively to time-varying electricity prices, i.e., by charging batteries during periods of low electricity prices and discharging them during peak hours. The results also indicate that storage technologies significantly alter the residual load profile, which can contribute to lower carbon emissions depending on the test site, its load profile, and its adopted DER technologies.

  8. Life Cycle Greenhouse Gas Emissions from Electricity Generation (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-01-01

    Analysts at NREL have developed and applied a systematic approach to review the LCA literature, identify primary sources of variability and, where possible, reduce variability in GHG emissions estimates through a procedure called 'harmonization.' Harmonization of the literature provides increased precision and helps clarify the impacts of specific electricity generation choices, producing more robust results.

  9. Electrically-Assisted Turbocharger Development for Performance and Emissions

    SciTech Connect (OSTI)

    Bailey, Milton

    2000-08-20

    Turbocharger transient lag inherently imposes a tradeoff between a robust engine response to transient load shifts and exhaust emissions. By itself, a well matched turbocharger for an engine has limited flexibility in improving this transient response. Electrically-assisted turbocharging has been seen as an attractive option to improve response and lower transient emissions. This paper presents the results of a multi-year joint CRADA between DDC and ORNL. Virtual lab diesel simulation models characterized the performance improvement potential of an electrically assisted turbocharger technology. Operating requirements to reduce transient duration between load shift time by up to 50% were determined. A turbomachine has been conceptualized with an integrated motor-generator, providing transient burst boost plus energy recovery capability. Numerous electric motor designs were considered, and a prototype motor was developed, fabricated, and is undergoing tests. Power controls have been designed and fabricated.

  10. Using Electricity",,,"Electricity Consumption",,,"Electricity...

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

    . Total Electricity Consumption and Expenditures, 2003" ,"All Buildings* Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of Buildings...

  11. Transmission and Grid Integration: Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

    Factsheet developed to describe the activites of the Transmission and Grid Integration Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  12. Transmission and Grid Integration: Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    2009-09-01

    Factsheet developed to describe the activities of the Transmission and Grid Integration Group within NREL's Electricity, Resources, and Buildings Systems Integration center.

  13. Greater than the Sum of its Parts; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-11-01

    NREL's Electricity, Resources, and Building Systems Integration Center brings together a diverse group of experts performing grid integration and optimization R&D activities.

  14. RESCHEDULED: Webinar on Material Handling Fuel Cells for Building Electric Peak Shaving Applications

    Broader source: Energy.gov [DOE]

    The Fuel Cell Technologies Office will present a live webinar entitled "Material Handling Fuel Cells for Building Electric Peak Shaving Applications".

  15. The added economic and environmental value of plug-in electric vehicles connected to commercial building microgrids

    SciTech Connect (OSTI)

    Stadler, Michael; Momber, Ilan; Megel, Olivier; Gomez, Toms; Marnay, Chris; Beer, Sebastian; Lai, Judy; Battaglia, Vincent

    2010-08-25

    Connection of electric storage technologies to smartgrids or microgrids will have substantial implications for building energy systems. In addition to potentially supplying ancillary services directly to the traditional centralized grid (or macrogrid), local storage will enable demand response. As an economically attractive option, mobile storage devices such as plug-in electric vehicles (EVs) are in direct competition with conventional stationary sources and storage at the building. In general, it is assumed that they can improve the financial as well as environmental attractiveness of renewable and fossil based on-site generation (e.g. PV, fuel cells, or microturbines operating with or without combined heat and power). Also, mobile storage can directly contribute to tariff driven demand response in commercial buildings. In order to examine the impact of mobile storage on building energy costs and carbon dioxide (CO2) emissions, a microgrid/distributed-energy-resources (DER) adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs applying CO2 taxes/CO2 pricing schemes. The problem is solved for a representative office building in the San Francisco Bay Area in 2020. By using employees' EVs for energy management, the office building can arbitrage its costs. But since the car battery lifetime is reduced, a business model that also reimburses car owners for the degradation will be required. In general, the link between a microgrid and an electric vehicle can create a win-win situation, wherein the microgrid can reduce utility costs by load shifting while the electric vehicle owner receives revenue that partially offsets his/her expensive mobile storage investment. For the California office building with EVs connected under a business model that distributes benefits, it is found that the economic impact is very limited relative to the costs of mobile storage for the site analyzed, i.e. cost reductions from electric vehicle connections are modest. Nonetheless, this example shows that some economic benefit is created because of avoided demand charges and on-peak energy. The strategy adopted by the office building is to avoid these high on-peak costs by using energy from the mobile storage in the business hours. CO2 emission reduction strategy results indicate that EVs' contribution at the selected office building are minor.

  16. Semiconductor light source with electrically tunable emission wavelength

    DOE Patents [OSTI]

    Belenky, Gregory (Port Jefferson, NY); Bruno, John D. (Bowie, MD); Kisin, Mikhail V. (Centereach, NY); Luryi, Serge (Setauket, NY); Shterengas, Leon (Centereach, NY); Suchalkin, Sergey (Centereach, NY); Tober, Richard L. (Elkridge, MD)

    2011-01-25

    A semiconductor light source comprises a substrate, lower and upper claddings, a waveguide region with imbedded active area, and electrical contacts to provide voltage necessary for the wavelength tuning. The active region includes single or several heterojunction periods sandwiched between charge accumulation layers. Each of the active region periods comprises higher and lower affinity semiconductor layers with type-II band alignment. The charge carrier accumulation in the charge accumulation layers results in electric field build-up and leads to the formation of generally triangular electron and hole potential wells in the higher and lower affinity layers. Nonequillibrium carriers can be created in the active region by means of electrical injection or optical pumping. The ground state energy in the triangular wells and the radiation wavelength can be tuned by changing the voltage drop across the active region.

  17. DSM Electricity Savings Potential in the Buildings Sector in APP Countries

    SciTech Connect (OSTI)

    McNeil, MIchael; Letschert, Virginie; Shen, Bo; Sathaye, Jayant; de la Ru du Can, Stephane

    2011-01-12

    The global economy has grown rapidly over the past decade with a commensurate growth in the demand for electricity services that has increased a country's vulnerability to energy supply disruptions. Increasing need of reliable and affordable electricity supply is a challenge which is before every Asia Pacific Partnership (APP) country. Collaboration between APP members has been extremely fruitful in identifying potential efficiency upgrades and implementing clean technology in the supply side of the power sector as well established the beginnings of collaboration. However, significantly more effort needs to be focused on demand side potential in each country. Demand side management or DSM in this case is a policy measure that promotes energy efficiency as an alternative to increasing electricity supply. It uses financial or other incentives to slow demand growth on condition that the incremental cost needed is less than the cost of increasing supply. Such DSM measures provide an alternative to building power supply capacity The type of financial incentives comprise of rebates (subsidies), tax exemptions, reduced interest loans, etc. Other approaches include the utilization of a cap and trade scheme to foster energy efficiency projects by creating a market where savings are valued. Under this scheme, greenhouse gas (GHG) emissions associated with the production of electricity are capped and electricity retailers are required to meet the target partially or entirely through energy efficiency activities. Implementation of DSM projects is very much in the early stages in several of the APP countries or localized to a regional part of the country. The purpose of this project is to review the different types of DSM programs experienced by APP countries and to estimate the overall future potential for cost-effective demand-side efficiency improvements in buildings sectors in the 7 APP countries through the year 2030. Overall, the savings potential is estimated to be 1.7 thousand TWh or 21percent of the 2030 projected base case electricity demand. Electricity savings potential ranges from a high of 38percent in India to a low of 9percent in Korea for the two sectors. Lighting, fans, and TV sets and lighting and refrigeration are the largest contributors to residential and commercial electricity savings respectively. This work presents a first estimates of the savings potential of DSM programs in APP countries. While the resulting estimates are based on detailed end-use data, it is worth keeping in mind that more work is needed to overcome limitation in data at this time of the project.

  18. Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems

    SciTech Connect (OSTI)

    Ong, S.; Campbell, C.; Clark, N.

    2012-12-01

    To identify the impacts of regional electricity prices and building type on the economics of solar photovoltaic (PV) systems, 207 rate structures across 77 locations and 16 commercial building types were evaluated. Results for expected solar value are reported for each location and building type. Aggregated results are also reported, showing general trends across various impact categories.

  19. Benchmarking Buildings to Prioritize Sites for Emissions Analysis

    Broader source: Energy.gov [DOE]

    When actual energy use by building type is known, benchmarking the performance of those buildings to industry averages can help establish those with greatest opportunities for GHG reduction. Energy intensity can be used as a basis for benchmarking by building type and can be calculated using actual energy use, representative buildings, or available average estimates from agency energy records. Energy intensity should be compared to industry averages, such as the Commercial Buildings Energy Consumption Survey (CBECS) or an agency specific metered sample by location.

  20. The impact of electric vehicles on CO{sub 2} emissions. Final report

    SciTech Connect (OSTI)

    Bentley, J.M.; Teagan, P.; Walls, D.; Balles, E.; Parish, T.

    1992-05-01

    A number of recent studies have examined the greenhouse gas emissions of various light duty vehicle alternatives in some detail. These studies have highlighted the extreme range of predicted net greenhouse gas emissions depending on scenarios for fuel types, vehicle and power generation efficiencies, the relative greenhouse contributions of emitted gases and a number of uncertainties in fuel chain efficiencies. Despite the potential range of results, most studies have confirmed that electric vehicles generally have significant potential for reducing greenhouse gas emissions relative to gasoline and most alternative fuels under consideration. This report summarizes the results of a study which builds on previous efforts with a particular emphasis on: (1) A detailed analysis of ICEV, FCV, and EV vehicle technology and electric power generation technology. Most previous transportation greenhouse studies have focused on characterization of fuel chains that have relatively high efficiency (65--85%) when compared with power generation (30--40%) and vehicle driveline (13--16%) efficiencies. (2) A direct comparison of EVs, FCVs with gasoline and dedicated alternative fuel, ICEVs using equivalent vehicle technology assumptions with careful attention to likely technology improvements in both types of vehicles. (3) Consideration of fuel cell vehicles and associated hydrogen infrastructure. (4) Extension of analyses for several decades to assess the prospects for EVs with a longer term prospective.

  1. The impact of electric vehicles on CO[sub 2] emissions

    SciTech Connect (OSTI)

    Bentley, J.M.; Teagan, P.; Walls, D.; Balles, E.; Parish, T. , Inc., Cambridge, MA )

    1992-05-01

    A number of recent studies have examined the greenhouse gas emissions of various light duty vehicle alternatives in some detail. These studies have highlighted the extreme range of predicted net greenhouse gas emissions depending on scenarios for fuel types, vehicle and power generation efficiencies, the relative greenhouse contributions of emitted gases and a number of uncertainties in fuel chain efficiencies. Despite the potential range of results, most studies have confirmed that electric vehicles generally have significant potential for reducing greenhouse gas emissions relative to gasoline and most alternative fuels under consideration. This report summarizes the results of a study which builds on previous efforts with a particular emphasis on: (1) A detailed analysis of ICEV, FCV, and EV vehicle technology and electric power generation technology. Most previous transportation greenhouse studies have focused on characterization of fuel chains that have relatively high efficiency (65--85%) when compared with power generation (30--40%) and vehicle driveline (13--16%) efficiencies. (2) A direct comparison of EVs, FCVs with gasoline and dedicated alternative fuel, ICEVs using equivalent vehicle technology assumptions with careful attention to likely technology improvements in both types of vehicles. (3) Consideration of fuel cell vehicles and associated hydrogen infrastructure. (4) Extension of analyses for several decades to assess the prospects for EVs with a longer term prospective.

  2. Quantifying Changes in Building Electricity Use, with Application to Demand Response

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Price, Phillip N.; Kiliccote, Sila; Piette, Mary Ann

    2010-11-17

    We present methods for analyzing commercial and industrial facility 15-minute-interval electric load data. These methods allow building managers to better understand their facility's electricity consumption over time and to compare it to other buildings, helping them to ask the right questions to discover opportunities for demand response, energy efficiency, electricity waste elimination, and peak load management. We primarily focus on demand response. Methods discussed include graphical representations of electric load data, a regression-based electricity load model that uses a time-of-week indicator variable and a piecewise linear and continuous outdoor air temperature dependence, and the definition of various parameters that characterize facility electricity loads and demand response behavior. In the future, these methods could be translated into easy-to-use tools for building managers.

  3. Next-generation building energy management systems and implications for electricity markets.

    SciTech Connect (OSTI)

    Zavala, V. M.; Thomas, C.; Zimmerman, M.; Ott, A.

    2011-08-11

    The U.S. national electric grid is facing significant changes due to aggressive federal and state targets to decrease emissions while improving grid efficiency and reliability. Additional challenges include supply/demand imbalances, transmission constraints, and aging infrastructure. A significant number of technologies are emerging under this environment including renewable generation, distributed storage, and energy management systems. In this paper, we claim that predictive energy management systems can play a significant role in achieving federal and state targets. These systems can merge sensor data and predictive statistical models, thereby allowing for a more proactive modulation of building energy usage as external weather and market signals change. A key observation is that these predictive capabilities, coupled with the fast responsiveness of air handling units and storage devices, can enable participation in several markets such as the day-ahead and real-time pricing markets, demand and reserves markets, and ancillary services markets. Participation in these markets has implications for both market prices and reliability and can help balance the integration of intermittent renewable resources. In addition, these emerging predictive energy management systems are inexpensive and easy to deploy, allowing for broad building participation in utility centric programs.

  4. A Look at Health Care Buildings - How do they use electricity

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

    Electricity Usage Return to: A Look at Health Care Buildings How large are they? How many employees are there? Where are they located? How old are they? Who owns and occupies them?...

  5. Using Whole-Building Electric Load Data in Continuous or Retro-Commissioning

    SciTech Connect (OSTI)

    Price, Phillip N.; Mathieu, Johanna L.; Kiliccote, Sila; Piette, Mary Ann

    2011-07-01

    Whole-building electric load data can often reveal problems with building equipment or operations. In this paper, we present methods for analyzing 15-minute-interval electric load data. These methods allow building operators, energy managers, and commissioning agents to better understand a building's electricity consumption over time and to compare it to other buildings, helping them to 'ask the right questions' to discover opportunities for electricity waste elimination, energy efficiency, peak load management, and demand response. For example: Does the building use too much energy at night, or on hot days, or in the early evening? Knowing the answer to questions like these can help with retro-commissioning or continuous commissioning. The methods discussed here can also be used to assess how building energy performance varies with time. Comparing electric load before and after fixing equipment or changing operations can help verify that the fixes have the intended effect on energy consumption. Analysis methods discussed in this paper include: ways to graphically represent electric load data; the definition of various parameters that characterize facility electricity loads; and a regression-based electricity load model that accounts for both time of week and outdoor air temperature. The methods are illustrated by applying them to data from commercial buildings. We demonstrate the ability to recognize changes in building operation, and to quantify changes in energy performance. Some key findings are: 1) Plotting time series electric load data is useful for understanding electricity consumption patterns and changes to those patterns, but results may be misleading if data from different time intervals are not weather-normalized. 2) Parameter plots can highlight key features of electric load data and may be easier to interpret than plots of time series data themselves. 3) A time-of-week indicator variable (as compared to time-of-day and day-of-week indicator variables) improves the accuracy of regression models of electric load. 4) A piecewise linear and continuous outdoor air temperature dependence can be derived without the use of a change-point model (which would add complexity to the modeling algorithm) or assumptions about when structural changes occur (which could introduce inaccuracy). 5) A model that includes time-of-week and temperature dependence can be used for weather normalization and can determine whether the building is unusually temperature-sensitive, which can indicate problems with HVAC operation.

  6. Table 2.11 Commercial Buildings Electricity Consumption by End...

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

    End Use Space Heating Cooling Ventilation Water Heating Lighting Cooking Refrigeration Office Equipment Computers Other 1 Total All Buildings 167 481 436 88 1,340 24 381 69 156 418 ...

  7. Solar electric buildings: An overview of today`s applications

    SciTech Connect (OSTI)

    1997-02-01

    This brochure presents a broad look at photovoltaic-powered buildings. It includes residential and commercial systems, both stand-alone and connected to utility power, that are located in urban, near-urban, and rural settings around the world. As photovoltaic (PV) technology continues to improve and costs drop, opportunities for PV will multiply. PV systems for buildings, such as those shown here, represent one of the strongest near-term markets.

  8. State Air Emission Regulations That Affect Electric Power Producers (Update) (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01

    Several states have recently enacted air emission regulations that will affect the electricity generation sector. The regulations govern emissions of NOx, SO2, CO2, and mercury from power plants.

  9. Control of Greenhouse Gas Emissions by Optimal DER Technology Investment and Energy Management in Zero-Net-Energy Buildings

    SciTech Connect (OSTI)

    Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; Aki, Hirohisa; Lai, Judy

    2009-08-10

    The U.S. Department of Energy has launched the commercial building initiative (CBI) in pursuit of its research goal of achieving zero-net-energy commercial buildings (ZNEB), i.e. ones that produce as much energy as they use. Its objective is to make these buildings marketable by 2025 such that they minimize their energy use through cutting-edge, energy-efficiency technologies and meet their remaining energy needs through on-site renewable energy generation. This paper examines how such buildings may be implemented within the context of a cost- or CO2-minimizing microgrid that is able to adopt and operate various technologies: photovoltaic modules (PV) and other on-site generation, heat exchangers, solar thermal collectors, absorption chillers, and passive/demand-response technologies. A mixed-integer linear program (MILP) that has a multi-criteria objective function is used. The objective is minimization of a weighted average of the building's annual energy costs and CO2 emissions. The MILP's constraints ensure energy balance and capacity limits. In addition, constraining the building's energy consumed to equal its energy exports enables us to explore how energy sales and demand-response measures may enable compliance with the ZNEB objective. Using a commercial test site in northernCalifornia with existing tariff rates and technology data, we find that a ZNEB requires ample PV capacity installed to ensure electricity sales during the day. This is complemented by investment in energy-efficient combined heat and power (CHP) equipment, while occasional demand response shaves energy consumption. A large amount of storage is also adopted, which may be impractical. Nevertheless, it shows the nature of the solutions and costs necessary to achieve a ZNEB. Additionally, the ZNEB approach does not necessary lead to zero-carbon (ZC) buildings as is frequently argued. We also show a multi-objective frontier for the CA example, whichallows us to estimate the needed technologies and costs for achieving a ZC building or microgrid.

  10. Using Electricity",,,"Electricity Consumption",,,"Electricity...

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

    A. Total Electricity Consumption and Expenditures for All Buildings, 2003" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of...

  11. Electricity",,,"Electricity Consumption",,,"Electricity Expenditures...

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

    C9. Total Electricity Consumption and Expenditures, 1999" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number of Buildings...

  12. Electricity price impacts of alternative Greenhouse gas emission cap-and-trade programs

    SciTech Connect (OSTI)

    Edelston, Bruce; Armstrong, Dave; Kirsch, Laurence D.; Morey, Mathew J.

    2009-07-15

    Limits on greenhouse gas emissions would raise the prices of the goods and services that require such emissions for their production, including electricity. Looking at a variety of emission limit cases and scenarios for selling or allocating allowances to load-serving entities, the authors estimate how the burden of greenhouse gas limits are likely to be distributed among electricity consumers in different states. (author)

  13. Regional versus global? -- Will strategies for reduction of sulfur dioxide emissions from electric utilities increase carbon dioxide emissions?

    SciTech Connect (OSTI)

    Randolph, J.C.; Dolsak, N.

    1996-12-31

    Electric utilities, which are dependent on high-sulfur coal are expected to reduce their SO{sub 2} emissions. The strategies for reduction of SO{sub 2} emissions may result in increased CO{sub 2} emissions. Thereby decrease of regional pollution may cause increase of global pollution. Environmental, political, moral, and economic consequences of the two types of pollution differ significantly. Midwestern electric utilities, USA, which are dependent on high-sulfur coal, are analyzed in the paper. However, the same problem is relevant for some European coal fueled power plants. Strategies for reduction of SO{sub 2} emissions, employed by Midwestern electric utilities to comply with the clean Air Act amendments (CAAA) of 1990 and their possible affects on CO{sub 2} emissions, are presented. The paper focuses on two general strategies for reduction of SO{sub 2} emissions. First is coal-switching or blending with a low-sulfur coal. Second is construction and use of flue-gas desulfurization devices (scrubbers). A combination of both strategies is also a viable option. Switching to low-sulfur coal may result in larger CO{sub 2} emissions because that coal has different characteristics and has to be transported much greater distances. Scrubbers require significant amounts of energy for their operation which requires burning more coal. This increases the level of CO{sub 2} emissions.

  14. Advancing Net-Zero Energy Commercial Buildings; Electricity, Resources, & Building Systems Integration (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-10-01

    This fact sheet provides an overview of the research the National Renewable Energy Laboratory is conducting to achieve net-zero energy buildings (NZEBs). It also includes key definitions of NZEBs and inforamtion about an NZEB database that captures information about projects around the world.

  15. Sri Lanka-Rapid Assessment of City Emissions (RACE) for Low Carbon...

    Open Energy Info (EERE)

    Assessment of City Emissions (RACE) for Low Carbon Cities: Transport and Building Electricity Use Jump to: navigation, search Name Sri Lanka-Rapid Assessment of City Emissions...

  16. Systematic Review and Harmonization of Life Cycle GHG Emission Estimates for Electricity Generation Technologies (Presentation)

    SciTech Connect (OSTI)

    Heath, G.

    2012-06-01

    This powerpoint presentation to be presented at the World Renewable Energy Forum on May 14, 2012, in Denver, CO, discusses systematic review and harmonization of life cycle GHG emission estimates for electricity generation technologies.

  17. Smart buildings with electric vehicle interconnection as buffer for local renewables?

    SciTech Connect (OSTI)

    Stadler, Michael; Cardoso, Goncalo; DeForest, Nicholas; Donadee, Jon; Gomez, Tomaz; Lai, Judy; Marnay, Chris; Megel, Olivier; Mendes, Goncalo; Siddiqui, Afzal

    2011-05-01

    Some conclusions from this presentation are: (1) EV Charging/discharging pattern mainly depends on the objective of the building (cost versus CO{sub 2}); (2) performed optimization runs show that stationary batteries are more attractive than mobile storage when putting more focus on CO{sub 2} emissions because stationary storage is available 24 hours a day for energy management - it's more effective; (3) stationary storage will be charged by PV, mobile only marginally; and (4) results will depend on the considered region and tariff. Final research work will show the results for 138 different buildings in nine different climate zones and three major utility service territories.

  18. Estimating carbon dioxide emission factors for the California electric power sector

    SciTech Connect (OSTI)

    Marnay, Chris; Fisher, Diane; Murtishaw, Scott; Phadke, Amol; Price, Lynn; Sathaye, Jayant

    2002-08-01

    The California Climate Action Registry (''Registry'') was initially established in 2000 under Senate Bill 1771, and clarifying legislation (Senate Bill 527) was passed in September 2001. The Ernest Orlando Lawrence Berkeley National Laboratory (Berkeley Lab) has been asked to provide technical assistance to the California Energy Commission (CEC) in establishing methods for calculating average and marginal electricity emissions factors, both historic and current, as well as statewide and for sub-regions. This study is exploratory in nature. It illustrates the use of three possible approaches and is not a rigorous estimation of actual emissions factors. While the Registry will ultimately cover emissions of all greenhouse gases (GHGs), presently it is focusing on carbon dioxide (CO2). Thus, this study only considers CO2, which is by far the largest GHG emitted in the power sector. Associating CO2 emissions with electricity consumption encounters three major complications. First, electricity can be generated from a number of different primary energy sources, many of which are large sources of CO2 emissions (e.g., coal combustion) while others result in virtually no CO{sub 2} emissions (e.g., hydro). Second, the mix of generation resources used to meet loads may vary at different times of day or in different seasons. Third, electrical energy is transported over long distances by complex transmission and distribution systems, so the generation sources related to electricity usage can be difficult to trace and may occur far from the jurisdiction in which that energy is consumed. In other words, the emissions resulting from electricity consumption vary considerably depending on when and where it is used since this affects the generation sources providing the power. There is no practical way to identify where or how all the electricity used by a certain customer was generated, but by reviewing public sources of data the total emission burden of a customer's electricity supplier can b e found and an average emissions factor (AEF) calculated. These are useful for assigning a net emission burden to a facility. In addition, marginal emissions factors (MEFs) for estimating the effect of changing levels of usage can be calculated. MEFs are needed because emission rates at the margin are likely to diverge from the average. The overall objective of this task is to develop methods for estimating AEFs and MEFs that can provide an estimate of the combined net CO2 emissions from all generating facilities that provide electricity to California electricity customers. The method covers the historic period from 1990 to the present, with 1990 and 1999 used as test years. The factors derived take into account the location and time of consumption, direct contracts for power which may have certain atypical characteristics (e.g., ''green'' electricity from renewable resources), resource mixes of electricity providers, import and export of electricity from utility owned and other sources, and electricity from cogeneration. It is assumed that the factors developed in this way will diverge considerably from simple statewide AEF estimates based on standardized inventory estimates that use conventions inconsistent with the goals of this work. A notable example concerns the treatment of imports, which despite providing a significant share of California's electricity supply picture, are excluded from inventory estimates of emissions, which are based on geographical boundaries of the state.

  19. Optical emission from a small scale model electric arc furnace in 250-600 nm region

    SciTech Connect (OSTI)

    Maekinen, A.; Tikkala, H.; Aksela, H.; Niskanen, J.

    2013-04-15

    Optical emission spectroscopy has been for long proposed for monitoring and studying industrial steel making processes. Whereas the radiative decay of thermal excitations is always taking place in high temperatures needed in steel production, one of the most promising environment for such studies are electric arc furnaces, creating plasma in excited electronic states that relax with intense characteristic emission in the optical regime. Unfortunately, large industrial scale electric arc furnaces also present a challenging environment for optical emission studies and application of the method is not straightforward. To study the usability of optical emission spectroscopy in real electric arc furnaces, we have developed a laboratory scale DC electric arc furnace presented in this paper. With the setup, optical emission spectra of Fe, Cr, Cr{sub 2}O{sub 3}, Ni, SiO{sub 2}, Al{sub 2}O{sub 3}, CaO, and MgO were recorded in the wavelength range 250-600 nm and the results were analyzed with the help of reference data. The work demonstrates that using characteristic optical emission, obtaining in situ chemical information from oscillating plasma of electric arc furnaces is indeed possible. In spite of complications, the method could possibly be applied to industrial scale steel making process in order to improve its efficiency.

  20. Battery-Powered Electric and Hybrid Electric Vehicle Projects to Reduce Greenhouse Gas Emissions: A Resource for Project Development

    SciTech Connect (OSTI)

    National Energy Technology Laboratory

    2002-07-31

    The transportation sector accounts for a large and growing share of global greenhouse gas (GHG) emissions. Worldwide, motor vehicles emit well over 900 million metric tons of carbon dioxide (CO2) each year, accounting for more than 15 percent of global fossil fuel-derived CO2 emissions.1 In the industrialized world alone, 20-25 percent of GHG emissions come from the transportation sector. The share of transport-related emissions is growing rapidly due to the continued increase in transportation activity.2 In 1950, there were only 70 million cars, trucks, and buses on the worlds roads. By 1994, there were about nine times that number, or 630 million vehicles. Since the early 1970s, the global fleet has been growing at a rate of 16 million vehicles per year. This expansion has been accompanied by a similar growth in fuel consumption.3 If this kind of linear growth continues, by the year 2025 there will be well over one billion vehicles on the worlds roads.4 In a response to the significant growth in transportation-related GHG emissions, governments and policy makers worldwide are considering methods to reverse this trend. However, due to the particular make-up of the transportation sector, regulating and reducing emissions from this sector poses a significant challenge. Unlike stationary fuel combustion, transportation-related emissions come from dispersed sources. Only a few point-source emitters, such as oil/natural gas wells, refineries, or compressor stations, contribute to emissions from the transportation sector. The majority of transport-related emissions come from the millions of vehicles traveling the worlds roads. As a result, successful GHG mitigation policies must find ways to target all of these small, non-point source emitters, either through regulatory means or through various incentive programs. To increase their effectiveness, policies to control emissions from the transportation sector often utilize indirect means to reduce emissions, such as requiring specific technology improvements or an increase in fuel efficiency. Site-specific project activities can also be undertaken to help decrease GHG emissions, although the use of such measures is less common. Sample activities include switching to less GHG-intensive vehicle options, such as electric vehicles (EVs) or hybrid electric vehicles (HEVs). As emissions from transportation activities continue to rise, it will be necessary to promote both types of abatement activities in order to reverse the current emissions path. This Resource Guide focuses on site- and project-specific transportation activities. .

  1. Reducing Residential Peak Electricity Demand with Mechanical Pre-Cooling of Building Thermal Mass

    SciTech Connect (OSTI)

    Turner, Will; Walker, Iain; Roux, Jordan

    2014-08-01

    This study uses an advanced airflow, energy and humidity modelling tool to evaluate the potential for residential mechanical pre-cooling of building thermal mass to shift electricity loads away from the peak electricity demand period. The focus of this study is residential buildings with low thermal mass, such as timber-frame houses typical to the US. Simulations were performed for homes in 12 US DOE climate zones. The results show that the effectiveness of mechanical pre-cooling is highly dependent on climate zone and the selected pre-cooling strategy. The expected energy trade-off between cooling peak energy savings and increased off-peak energy use is also shown.

  2. Life Cycle Greenhouse Gas Emissions from Electricity Generation Fact Sheet

    Broader source: Energy.gov [DOE]

    As clean energy increasingly becomes part of the national dialogue, lenders, utilities, and lawmakers need the most comprehensive and accurate information on GHG emissions from various sources of energy to inform policy, planning, and investment decisions. The National Renewable Energy Laboratory (NREL) recently led the Life Cycle Assessment (LCA) Harmonization Project, a study that gives decision makers and investors more precise estimates of life cycle GHG emissions for renewable and conventional generation, clarifying inconsistent and conflicting estimates in the published literature, and reducing uncertainty.

  3. State-level Greenhouse Gas Emission Factors for Electricity Generation, Updated

    Reports and Publications (EIA)

    2001-01-01

    To assist reporters in estimating emissions and emission reductions, The Energy Information Administration (EIA) has made available in the instructions to Forms EIA-1605 and EIA-1605EZ emission coefficients for most commonly used fossil fuels and electricity. These coefficients were based on 1992 emissions and generation data. In 1999, updated coefficients were prepared based on the most recent data (1998) then available; however, the updated coefficients were not included in the instructions for the 1999 data year. This year, they have been updated again, but based on three years worth of data (1997, 1998, and 1999) rather than a single year.

  4. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Alabama" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",113429,135133,186320,213725,288261,368728,466093,474527,472326,424044,468920,460025,479716,532836,567267,598960,591936,609416,554692,537679,573035,537827,532016,534873 "Natural

  5. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Florida" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",90222,83823,91500,119354,176269,216052,211528,216609,226357,259650,264498,286311,297404,417500,460041,508105,512033,464520,430505,458841,468879,540689,522031,480864 "Natural

  6. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Louisiana" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",68216,73702,75879,71513,64087,68625,71467,89748,90139,96242,95639,97918,95986,101453,112255,109681,117039,94470,97854,126282,117281,110572,107938,99934 "Natural

  7. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    York" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",21923,26957,48632,56528,51264,75552,102252,110055,133084,174467,205767,213903,217822,245827,243631,282135,265797,169786,235651,245005,257386,300430,290808,298461 "Natural

  8. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Ohio" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",314945,360893,649158,643705,664660,760207,1022707,1037604,1157246,1150521,1250636,1193241,1191814,1258662,1318060,1426879,1462973,1485827,1209189,2085965,2172699,2204132,2247165,2213291 "Natural

  9. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Oklahoma" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",76673,78406,95907,89405,100412,108043,108024,114991,112210,108869,117506,115993,110039,102417,110454,109339,116982,114705,122615,106452,118616,118121,113826,109400 "Natural

  10. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Pennsylvania" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",262221,259319,338397,419602,635141,851401,958827,903023,1096135,996972,979095,949261,1041860,1113082,1049810,1118338,1159444,1158512,1191338,1209571,1240828,1266369,1269116,1288932 "Natural

  11. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Texas" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",364291,337533,430430,458950,448084,480396,494970,576589,592090,585566,632119,612135,581623,594287,721440,716364,718321,683539,636769,563557,619731,562293,544624,534050 "Natural

  12. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    United States" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",3537968,3625314,4890928,5468885,6100901,8103586,9247549,9774485,10470741,10402086,10679025,10787045,10918087,11761081,12624901,13241327,13459993,13019310,12332252,14768599,15258782,15498937,15696398,15741783 "Natural

  13. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Arkansas" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",74612,77622,73584,67035,68211,73160,71833,72868,65726,78479,71176,70031,74549,76060,78823,77315,86718,97033,84291,72229,66566,70208,70953,73346 "Natural gas",32,43,31,32,28,24,20,22,26,21,32,23,11,21,21,18,18,15,67,17,17,18,17,17

  14. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Alaska" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2913,2945,2496,2411,2528,2657,2436,2377,2224,2352,2003,4545,4179,12561,8368,14490,13929,13523,14632,10598,10080,10152,10210,15458 "Natural gas",10,10,11,11,11,12,11,15,13,15,9,10,10,13,11,13,11,11,9,12,12,10,12,12

  15. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Arizona" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",23613,21336,32674,36693,36140,48338,56547,49229,52823,60439,69394,70766,72877,74807,78901,105738,130165,124044,124899,142176,134872,131544,129444,125036 "Natural gas",79,70,55,67,80,83,86,73,64,79,58,51,58,36,17,17,9,3,7,8,6,10,6,7

  16. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    California" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",659,1067,2192,1784,1685,1521,3276,3458,3317,2740,2961,2100,5191,31138,26808,28804,28716,30315,28932,27401,36452,38256,34966,35118 "Natural gas",311,301,225,267,351,306,355,345,256,293,279,247,338,324,252,217,231,181,200,288,240,265,230,227

  17. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Colorado" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",39974,42818,46853,49433,47566,60452,64793,64512,63888,64999,77596,91396,93908,90489,93098,100573,101386,94727,96615,107836,99745,101864,98418,102580 "Natural gas",27,26,25,26,31,33,35,32,30,26,24,21,24,17,12,11,11,9,11,6,2,1,1,1

  18. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Connecticut" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",770,7247,503,1311,1313,3007,2737,2879,2816,2847,3419,5880,12228,21148,826,6824,12175,11335,11392,9645,9330,10225,11777,12265 "Natural gas",29,34,32,28,19,15,19,23,17,13,9,20,9,10,8,7,6,2,4,6,3,3,4,4

  19. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Delaware" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2144,2597,9185,14461,17149,34942,34981,31295,31826,35971,35101,30385,33021,37580,24745,38077,36947,38142,38042,38863,41801,33932,41672,42428 "Natural gas",45,28,16,3,1,1,1,1,8,0,0,1,1,0,0,0,0,1,0,6,2,3,4,2

  20. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    District of Columbia" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Natural gas",0,0,0," "," "," "," "," "," "," "," "," "," "," "," "," "," "," "," ","

  1. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Georgia" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",90671,111585,201596,232586,271800,530275,680050,682504,642737,577847,569995,545792,527893,537663,539691,547446,536134,498669,508871,581609,714951,793006,802209,887372 "Natural gas",84,493,64,54,45,32,41,25,13,13,9,17,9,12,9,8,10,6,15,1,1,3,6,4

  2. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Hawaii" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2209,1435,1287,1387,1663,1680,1060,1015,1274,1572,1475,2154,1433,12585,3354,4019,4820,4805,4357,3617,3211,2070,278,86 "Other",373,325,426,95,121,93,89,89,110,122,127,106,76,902,582,579,537,455,588,53,50,52,51,49

  3. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Idaho" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",3029,2301,1616,3801,1603,3358,4111,1689,1787,4238,3737,3116,987,2999,3506,3816,3005,3148,3177,5267,6079,6088,2978,6107 "Natural gas",8,4,2,3,2,3,3,2,2,3,3,1,2,2,2,2,2,1,1,2,2,1,1,1

  4. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Illinois" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",203816,190049,228280,255068,261594,379321,332295,339864,386689,422783,406276,405000,442941,533290,806603,915074,927928,828237,722001,838330,856101,888651,883212,931708 "Natural gas",17,25,14,11,10,9,25,20,19,12,12,26,185,12,9,7,3,7,6,14,8,8,6,6

  5. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Indiana" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",272707,285211,381921,423894,422362,611096,728833,834982,883283,876816,817139,788519,806646,901203,970849,1004788,1031517,985754,929710,1254199,1273057,1252700,1466280,1403502 "Natural gas",26,38,28,21,13,12,12,8,9,6,8,11,6,11,13,9,8,9,6,6,4,6,6,8

  6. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Iowa" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",92466,103353,107646,114216,99306,163998,147940,144691,148303,148788,152375,147800,153599,171226,170930,190205,168878,170396,182534,198945,218025,209712,224123,201125 "Natural gas",10,11,6,6,2,4,3,3,2,7,1,2,3,3,3,4,6,4,3,3,3,2,1,1

  7. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Kansas" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",29975,32930,39191,44555,50230,93495,112481,108414,123188,114657,131419,124338,113912,112947,115880,117443,108221,116046,99115,71337,70094,65762,76140,85243 "Natural gas",6,17,6,7,6,6,2,2,2,1,2,3,4,2,64,4,1,2,6,6,4,3,10,7

  8. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Kentucky" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",185073,183247,241651,265949,247826,338318,370877,418872,490422,507490,522200,471904,535303,584707,658445,624913,669016,642197,676214,895584,983464,893411,871431,902063 "Natural gas",7,12,4,2,2,518,478,3,2,0,0,10,3,1,1,0,0,0,0,0,0,0,0,0

  9. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Maine" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",540,292,401,546,476,1538,2006,2016,1840,1726,1423,1117,1593,6269,2349,2978,4015,3934,4090,4323,4505,4521,4465,5574 "Natural gas",8,11,13,14,14,13,13,12,15,20,22,23,22,7,0,0,0,0,0,0,0,0,0,0

  10. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Maryland" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",37512,40857,51044,47095,214124,244867,278286,282500,284301,287448,272978,265412,259499,262294,261255,272677,254326,251603,229197,233251,251845,243295,238056,265492 "Natural gas",12,40,17,4,6,6,4,4,4,3,8,4,3,3,3,2,2,2,2,7,3,4,6,6

  11. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Massachusetts" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",10397,11717,23520,37512,33573,42205,42039,39260,47569,45178,52634,58508,60644,69422,70840,70629,78943,69863,78900,70225,77311,93718,104570,100041 "Natural gas",47,56,57,56,46,49,34,31,44,64,51,30,30,24,22,22,34,20,23,30,24,23,18,18

  12. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Minnesota" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",30926,31068,52422,57174,66187,83399,85598,88204,89899,95334,91757,91775,77334,102028,108278,104657,109711,101136,97511,129370,125407,106236,90988,105228 "Natural gas",15,18,9,11,31,14,7,4,6,4,3,3,3,4,3,3,1,1,1,3,2,3,3,1

  13. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Mississippi" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",77393,37116,43057,54267,40125,65730,67796,75871,66365,68531,68116,66065,69615,88588,78278,78763,76762,94981,82425,77122,89686,94690,97996,106348 "Natural gas",79,99,60,67,61,56,104,105,155,186,32,41,50,22,34,30,12,10,32,32,17,20,24,28

  14. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Missouri" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",157176,149531,208591,255793,258025,278644,276798,279119,293134,292645,280869,247379,239803,214011,264723,301916,318865,368301,348474,537257,481519,683418,746419,794530 "Natural gas",7,15,10,11,7,10,13,10,10,8,7,12,22,9,8,4,0,0,1,1,1,0,2,1

  15. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Montana" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",16726,13490,16901,20469,20711,19989,22596,19849,19767,20971,17185,19797,30725,23733,25315,24694,22706,20068,36432,20996,20385,22070,20386,17702 "Natural gas",1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,1,1

  16. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Nebraska" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",66824,63689,74955,71501,77133,76598,69205,71725,73730,74657,69360,68130,70701,60647,61435,58084,62785,65736,61065,56657,60780,53652,53558,51742 "Natural gas",0,2,0,0,0,1,1,6,3,0,0,0,2,0,0,0,0,0,1,0,0,0,1,1

  17. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Nevada" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",7366,4640,5225,7841,7856,9315,8488,9169,53291,54356,51433,49197,49926,52960,48612,49659,50086,52898,50190,52644,52075,56550,54099,53261 "Natural gas",57,58,49,53,60,55,63,53,45,37,28,21,97,41,12,20,13,18,13,15,12,11,6,7

  18. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Hampshire" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2689,1694,24041,36405,32333,36146,40115,38096,41306,37066,33607,38594,44473,46296,39840,40221,49137,41011,40508,37609,39548,42845,33246,41324 "Natural gas",8,16,15,13,11,14,7,11,10,7,15,0,0,1,0,0,0,0,0,0,0,0," "," "

  19. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Jersey" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2333,2866,4464,15060,12671,38115,50089,61099,69561,51500,50631,48855,50013,80835,63535,61420,73406,67588,58450,50184,56327,55383,57266,69123 "Natural gas",37,73,79,51,32,29,23,25,22,14,29,23,33,40,41,36,41,43,51,49,46,40,30,22

  20. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Mexico" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",17706,16538,17799,16546,19273,22214,26645,31168,30757,38493,51035,50982,62371,69031,73913,81488,82737,78595,75755,63018,57673,58306,50395,59574 "Natural gas",23,22,23,22,21,20,17,18,9,8,9,10,14,11,12,14,11,12,168,9,8,7,8,9

  1. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Carolina" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",51793,63584,81442,127715,123709,246364,392943,482961,516957,488210,481288,481923,473655,497039,497620,532992,556780,522206,439975,415724,472747,424519,374981,378382 "Natural gas",54,43,36,21,9,8,8,4,7,4,8,8,4,2,2,2,1,1,2,1,2,1,1,1

  2. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Dakota" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",56827,87164,94480,127427,132855,136415,137982,130699,138294,150488,141328,141498,156233,153590,191764,195793,178826,178368,210373,152684,147327,146371,189694,146402 "Natural gas",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1

  3. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Oregon" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",13959,11463,13100,15640,11050,11305,14027,8697,12104,12828,13522,12580,18027,14858,17160,13840,7342,6383,6143,16823,14892,16478,10708,7280 "Natural gas",52,39,27,52,63,69,44,32,34,30,28,23,28,24,18,19,10,10,7,9,6,6,4,2

  4. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Rhode Island" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Natural gas",11,19,20,18,17,14,15,15,13,12,18,17,19,15,14,18,14,14,10,11,11,11,7,3 "Other",1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0

  5. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Carolina" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",35219,54683,80578,104316,104355,165245,177379,226662,226553,228180,216716,210658,216996,215214,230523,223531,207801,218040,191445,205896,195251,171280,177034,182269 "Natural gas",26,47,48,25,24,14,12,13,8,8,3,12,1,1,2,2,1,1,1,0,0,0,4,2

  6. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Dakota" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",15332,12825,11249,13129,11929,13720,9194,11957,10723,14375,12596,25263,14439,14224,26837,24162,26742,16418,35460,33368,30740,31866,32623,31176 "Natural gas",1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0 "Other"," ","

  7. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Tennessee" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",78177,89276,144447,143016,130005,234674,265029,290290,297970,341496,370895,374163,396595,500011,533235,563085,614328,610082,570892,849088,895318,843606,796681,838243 "Natural gas",7,20,7,4,1,1,0,0,0,0,2,1,1,3,1,2,1,1,2,1,1,3,1,2

  8. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Utah" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",23545,21953,24864,28075,32614,24593,27565,37366,34547,37057,35348,32849,35716,33918,30837,33609,33601,32715,33485,29978,32977,30210,28162,31653 "Natural gas",17,17,12,12,15,18,19,8,1,3,6,3,3,2,1,1,1,1,3,2,1,1,1,0

  9. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Virginia" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",56438,49857,83949,117386,111860,136911,189547,190542,223296,200877,220539,279910,231117,277674,289507,268063,278805,263005,276636,220087,238627,227184,226261,213816 "Natural gas",40,60,77,44,20,19,17,11,15,12,9,8,12,12,13,12,6,11,14,13,12,6,4,2

  10. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Washington" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",2820,1690,1695,3221,4203,3123,2707,2256,3945,7475,9309,19572,68959,85701,89418,76615,65080,80288,55300,71156,73657,73826,63973,62933 "Natural gas",43,21,19,41,46,43,33,30,29,23,23,22,43,41,17,15,12,19,18,17,12,7,2,2

  11. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    West Virginia" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",93865,91218,107963,116023,184338,315497,388675,470639,483344,492024,558143,526538,681326,625874,713793,695681,701570,694797,630859,1091442,1045752,1102087,1068857,965899 "Natural gas",0,1,2,0,0,0,1,1,1,1,1,21,97,2,3,2,3,2,2,1,1,1,0,1

  12. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Wyoming" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Coal",49564,48004,85490,74270,83774,91179,91675,92333,96307,92960,92260,102300,94749,87414,106527,115147,107547,105501,113255,94338,82028,85538,84633,108365 "Natural gas",1,2,3,1,2,1,2,2,0,0,2,172,3,2,1,1,1,1,1,1,1,1,1,1

  13. Well-to-Wheels Analysis of Energy Use and Greenhouse Gas Emissions of Plug-in Hybrid Electric Vehicles

    Fuel Cell Technologies Publication and Product Library (EERE)

    This report examines energy use and emissions from primary energy source through vehicle operation to help researchers understand the impact of the upstream mix of electricity generation technologies

  14. Table 7. Electric power industry emissions estimates, 1990 through 2013

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

    Vermont" "Emission type", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990 "Sulfur dioxide (short tons)" "Natural gas",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 "Other",37,26,36,40,40,39,24,39,46,47,41,42,47,52,42,45,47,46,44,13,10,9,10,8 "Petroleum",34,26,58,2,2,1,11,8,23,25,28,21,55,137,97,127,50,17,35,17,3,2,0,14

  15. Electricity",,,"Electricity Consumption",,,"Electricity Expenditures...

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

    DIV. Total Electricity Consumption and Expenditures by Census Division, 1999" ,"All Buildings Using Electricity",,,"Electricity Consumption",,,"Electricity Expenditures" ,"Number...

  16. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    1 Buildings Share of U.S. Electricity Consumption/Sales (Percent) Buildings Delivered Total | Total Industry Transportation Total (10^15 Btu) 1980 | 60.9% 38.9% 0.2% 100% | 7.15 1981 | 61.4% 38.5% 0.1% 100% | 7.33 1982 | 64.1% 35.7% 0.2% 100% | 7.12 1983 | 63.8% 36.1% 0.2% 100% | 7.34 1984 | 63.2% 36.7% 0.2% 100% | 7.80 1985 | 63.8% 36.0% 0.2% 100% | 7.93 1986 | 64.8% 35.1% 0.2% 100% | 8.08 1987 | 64.9% 34.9% 0.2% 100% | 8.38 1988 | 65.0% 34.8% 0.2% 100% | 8.80 1989 | 64.8% 35.0% 0.2% 100% |

  17. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    6 Cost of an Electric Quad Used in the Buildings Sector ($2010 Billion) Residential Commercial Buildings Sector 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 11.82 11.82 11.82 11.94 11.68 11.82 10.59 10.83 10.70 11.41 11.58 11.48 11.68 11.33 11.51 11.49 10.77 11.15 11.71 11.67 11.69 11.72 11.52

  18. Analysis of Strategies for Reducing Multiple Emissions from Electric Power Plants with Advanced Technology

    Reports and Publications (EIA)

    2001-01-01

    This analysis responds to a request of Senators James M. Jeffords and Joseph I. Lieberman. This report describes the impacts of technology improvements and other market-based opportunities on the costs of emissions reductions from electricity generators, including nitrogen oxides, sulfur dioxide, mercury, and carbon dioxide.

  19. Carbon Dioxide Emissions from the Generation of Electric Power in the United States 1998

    Reports and Publications (EIA)

    1999-01-01

    The President issued a directive on April 15, 1999, requiring an annual report summarizing carbon dioxide (CO2) emissions produced by electricity generation in the United States, including both utilities and nonutilities. In response, this report is jointly submitted by the U.S. Department of Energy and the U.S. Environmental Protection Agency.

  20. Buildings Energy Data Book

    Buildings Energy Data Book [EERE]

    6.1 Electric Utility Energy Consumption 6.2 Electricity Generation, Transmission, and Distribution 6.3 Natural Gas Production and Distribution 6.4 Electric and Generic Quad Carbon Emissions 6.5 Public Benefit Funds/System Benefit Funds 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and Initialisms Technology Descriptions Building Descriptions Other Data Books Biomass Energy Transportation Energy Power Technologies Hydrogen Download the Entire Book Skip down to

  1. Building-Level Intensities

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

    . Electricity Consumption and Expenditure Intensities for Non-Mall Buildings, 2003" ,"Electricity Consumption",,,,,,"Electricity Expenditures" ,"per Building (thousand kWh)","per...

  2. Short run effects of a price on carbon dioxide emissions from U.S. electric generators

    SciTech Connect (OSTI)

    Adam Newcomer; Seth A. Blumsack; Jay Apt; Lester B. Lave; M. Granger Morgan [Carnegie Mellon University, Pittsburgh, PA (United States). Carnegie Mellon Electricity Industry Center

    2008-05-01

    The price of delivered electricity will rise if generators have to pay for carbon dioxide emissions through an implicit or explicit mechanism. There are two main effects that a substantial price on CO{sub 2} emissions would have in the short run (before the generation fleet changes significantly). First, consumers would react to increased price by buying less, described by their price elasticity of demand. Second, a price on CO{sub 2} emissions would change the order in which existing generators are economically dispatched, depending on their carbon dioxide emissions and marginal fuel prices. Both the price increase and dispatch changes depend on the mix of generation technologies and fuels in the region available for dispatch, although the consumer response to higher prices is the dominant effect. We estimate that the instantaneous imposition of a price of $35 per metric ton on CO{sub 2} emissions would lead to a 10% reduction in CO{sub 2} emissions in PJM and MISO at a price elasticity of -0.1. Reductions in ERCOT would be about one-third as large. Thus, a price on CO{sub 2} emissions that has been shown in earlier work to stimulate investment in new generation technology also provides significant CO{sub 2} reductions before new technology is deployed at large scale. 39 refs., 4 figs., 2 tabs.

  3. Constraint on the polarization of electric dipole emission from spinning dust

    SciTech Connect (OSTI)

    Hoang, Thiem; Martin, P. G.; Lazarian, A.

    2013-12-20

    Planck results have revealed that the electric dipole emission from polycyclic aromatic hydrocarbons (PAHs) is the most reliable explanation for the anomalous microwave emission that interferes with cosmic microwave background (CMB) radiation experiments. The emerging question is to what extent this emission component contaminates the polarized CMB radiation. We present constraints on polarized dust emission for the model of grain-size distribution and grain alignment that best fits the observed extinction and polarization curves. Two stars with a prominent polarization feature at ? = 2175 ŗHD 197770 and HD 147933-4are chosen for our study. For HD 197770, we find that the model with aligned silicate grains plus weakly aligned PAHs can successfully reproduce the 2175 polarization feature; in contrast, for HD 147933-4, we find that the alignment of only silicate grains can account for that feature. The alignment function of PAHs for the best-fit model to the HD 197770 data is used to constrain polarized spinning dust emission. We find that the degree of polarization of spinning dust emission is about 1.6% at frequency ? ? 3 GHz and declines to below 0.9% for ? > 20 GHz. We also predict the degree of polarization of thermal dust emission at 353 GHz to be P {sub em} ? 11% and 14% for the lines of sight to the HD 197770 and HD 147933-4 stars, respectively.

  4. 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.

  5. Reducing emissions from the electricity sector: the costs and benefits nationwide and for the Empire State

    SciTech Connect (OSTI)

    Karen Palmer; Dallas Butraw; Jhih-Shyang Shih

    2005-06-15

    Using four models, this study looks at EPA's Clean Air Interstate Rule (CAIR) as originally proposed, which differs in only small ways from the final rule issued in March 2005, coupled with several approaches to reducing emissions of mercury including one that differs in only small ways from the final rule also issued in March 2005. This study analyzes what costs and benefits each would incur to New York State and to the nation at large. Benefits to the nation and to New York State significantly outweigh the costs associated with reductions in SO{sub 2}, NOx and mercury, and all policies show dramatic net benefits. The manner in which mercury emissions are regulated will have important implications for the cost of the regulation and for emission levels for SO{sub 2} and NOx and where those emissions are located. Contrary to EPA's findings, CAIR as originally proposed by itself would not keep summer emissions of NOx from electricity generators in the SIP region below the current SIP seasonal NOx cap. In the final CAIR, EPA added a seasonal NOx cap to address seasonal ozone problems. The CAIR with the seasonal NOx cap produces higher net benefits. The effect of the different policies on the mix of fuels used to supply electricity is fairly modest under scenarios similar to the EPA's final rules. A maximum achievable control technology (MACT) approach, compared to a trading approach as the way to achieve tighter mercury targets (beyond EPA's proposal), would preserve the role of coal in electricity generation. The evaluation of scenarios with tighter mercury emission controls shows that the net benefits of a maximum achievable control technology (MACT) approach exceed the net benefits of a cap and trade approach. 39 refs., 10 figs., 30 figs., 5 apps.

  6. Building Commissioning: A Golden Opportunity for Reducing Energy Costs and Greenhouse-gas Emissions

    SciTech Connect (OSTI)

    Mills, Evan

    2009-07-16

    The aim of commissioning new buildings is to ensure that they deliver, if not exceed, the performance and energy savings promised by their design. When applied to existing buildings, commissioning identifies the almost inevitable 'drift' from where things should be and puts the building back on course. In both contexts, commissioning is a systematic, forensic approach to quality assurance, rather than a technology per se. Although commissioning has earned increased recognition in recent years - even a toehold in Wikipedia - it remains an enigmatic practice whose visibility severely lags its potential. Over the past decade, Lawrence Berkeley National Laboratory has built the world's largest compilation and meta-analysis of commissioning experience in commercial buildings. Since our last report (Mills et al. 2004) the database has grown from 224 to 643 buildings (all located in the United States, and spanning 26 states), from 30 to 100 million square feet of floorspace, and from $17 million to $43 million in commissioning expenditures. The recorded cases of new-construction commissioning took place in buildings representing $2.2 billion in total construction costs (up from 1.5 billion). The work of many more commissioning providers (18 versus 37) is represented in this study, as is more evidence of energy and peak-power savings as well as cost-effectiveness. We now translate these impacts into avoided greenhouse gases and provide new indicators of cost-effectiveness. We also draw attention to the specific challenges and opportunities for high-tech facilities such as labs, cleanrooms, data centers, and healthcare facilities. The results are compelling. We developed an array of benchmarks for characterizing project performance and cost-effectiveness. The median normalized cost to deliver commissioning was $0.30/ft2 for existing buildings and $1.16/ft2 for new construction (or 0.4% of the overall construction cost). The commissioning projects for which data are available revealed over 10,000 energy-related problems, resulting in 16% median whole-building energy savings in existing buildings and 13% in new construction, with payback time of 1.1 years and 4.2 years, respectively. In terms of other cost-benefit indicators, median benefit-cost ratios of 4.5 and 1.1, and cash-on-cash returns of 91% and 23% were attained for existing and new buildings, respectively. High-tech buildings were particularly cost-effective, and saved higher amounts of energy due to their energy-intensiveness. Projects with a comprehensive approach to commissioning attained nearly twice the overall median level of savings and five-times the savings of the least-thorough projects. It is noteworthy that virtually all existing building projects were cost-effective by each metric (0.4 years for the upper quartile and 2.4 years for the lower quartile), as were the majority of new-construction projects (1.5 years and 10.8 years, respectively). We also found high cost-effectiveness for each specific measure for which we have data. Contrary to a common perception, cost-effectiveness is often achieved even in smaller buildings. Thanks to energy savings valued more than the cost of the commissioning process, associated reductions in greenhouse gas emissions come at 'negative' cost. In fact, the median cost of conserved carbon is negative - -$110 per tonne for existing buildings and -$25/tonne for new construction - as compared with market prices for carbon trading and offsets in the +$10 to +$30/tonne range. Further enhancing the value of commissioning, its non-energy benefits surpass those of most other energy-management practices. Significant first-cost savings (e.g., through right-sizing of heating and cooling equipment) routinely offset at least a portion of commissioning costs - fully in some cases. When accounting for these benefits, the net median commissioning project cost was reduced by 49% on average, while in many cases they exceeded the direct value of the energy savings. Commissioning also improves worker comfort, mitigates indoor air quality problems

  7. Buildings

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

    Superior Energy Performance Policy Interpretation providing a certification pathway for Commercial Buildings May 7, 2015 Question: As a hotel or university campus, can I use the ...

  8. Update on State Air Emission Regulations That Affect Electric Power Producers (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    Several states have recently enacted air emission regulations that will affect the electricity generation sector. The regulations are intended to improve air quality in the states and assist them in complying with the revised 1997 National Ambient Air Quality Standards (NAAQS) for ground-level ozone and fine particulates. The affected states include Connecticut, Massachusetts, Maine, Missouri, New Hampshire, New Jersey, New York, North Carolina, Oregon, Texas, and Washington. The regulations govern emissions of NOx, SO2, CO2, and mercury from power plants.

  9. Plug-in Electric Vehicle Interactions with a Small Office Building: An Economic Analysis using DER-CAM

    SciTech Connect (OSTI)

    Momber, Ilan; Gomez, Toms; Venkataramanan, Giri; Stadler, Michael; Beer, Sebastian; Lai, Judy; Marnay, Chris; Battaglia, Vincent

    2010-06-01

    It is generally believed that plug-in electric vehicles (PEVs) offer environmental and energy security advantages compared to conventional vehicles. Policies are stimulating electric transportation deployment, and PEV adoption may grow significantly. New technology and business models are being developed to organize the PEV interface and their interaction with the wider grid. This paper analyzes the PEVs' integration into a building's Energy Management System (EMS), differentiating between vehicle to macrogrid (V2M) and vehicle to microgrid (V2m) applications. This relationship is modeled by the Distributed Energy Resources Customer Adoption Model (DER-CAM), which finds optimal equipment combinations to meet microgrid requirements at minimum cost, carbon footprint, or other criteria. Results derive battery value to the building and the possibility of a contractual affiliation sharing the benefit. Under simple annual fixed payments and energy exchange agreements, vehicles are primarily used to avoid peak demand charges supplying cheaper off-peak electricity to the building during workdays.

  10. Life Cycle Greenhouse Gas Emissions of Coal-Fired Electricity Generation: Systematic Review and Harmonization

    SciTech Connect (OSTI)

    Whitaker, M.; Heath, G. A.; O'Donoughue, P.; Vorum, M.

    2012-04-01

    This systematic review and harmonization of life cycle assessments (LCAs) of utility-scale coal-fired electricity generation systems focuses on reducing variability and clarifying central tendencies in estimates of life cycle greenhouse gas (GHG) emissions. Screening 270 references for quality LCA methods, transparency, and completeness yielded 53 that reported 164 estimates of life cycle GHG emissions. These estimates for subcritical pulverized, integrated gasification combined cycle, fluidized bed, and supercritical pulverized coal combustion technologies vary from 675 to 1,689 grams CO{sub 2}-equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh) (interquartile range [IQR]= 890-1,130 g CO{sub 2}-eq/kWh; median = 1,001) leading to confusion over reasonable estimates of life cycle GHG emissions from coal-fired electricity generation. By adjusting published estimates to common gross system boundaries and consistent values for key operational input parameters (most importantly, combustion carbon dioxide emission factor [CEF]), the meta-analytical process called harmonization clarifies the existing literature in ways useful for decision makers and analysts by significantly reducing the variability of estimates ({approx}53% in IQR magnitude) while maintaining a nearly constant central tendency ({approx}2.2% in median). Life cycle GHG emissions of a specific power plant depend on many factors and can differ from the generic estimates generated by the harmonization approach, but the tightness of distribution of harmonized estimates across several key coal combustion technologies implies, for some purposes, first-order estimates of life cycle GHG emissions could be based on knowledge of the technology type, coal mine emissions, thermal efficiency, and CEF alone without requiring full LCAs. Areas where new research is necessary to ensure accuracy are also discussed.

  11. Penetration and air-emission-reduction benefits of solar technologies in the electric utilities

    SciTech Connect (OSTI)

    Sutherland, R.J.

    1981-01-01

    The results of a study of four solar energy technologies and the electric utility industry are reported. The purpose of the study was to estimate the penetration by federal region of four solar technologies - wind, biomass, phtovoltaics, and solar thermal - in terms of installed capacity and power generated. The penetration by these technologies occurs at the expense of coal and nuclear power. The displacement of coal plants implies a displacement of their air emissions, such as sulfur dioxide, oxides of nitrogen, and particulate matter. The main conclusion of this study is that solar thermal, photovoltaics, and biomass fail to penetrate significantly by the end of this century in any federal region. Wind energy penetrates the electric utility industry in several regions during the 1990s. Displaced coal and nuclear generation are also estimated by region, as are the corresponding reductions in air emissions. The small-scale penetration by the solar technologies necessarily limits the amount of conventional fuels displaced and the reduction in air emissions. A moderate displacement of sulfur dioxide and the oxides of nitrogen is estimated to occur by the end of this century, and significant lowering of these emissions should occur in the early part of the next century.

  12. Development of Nuclear Renewable Oil Shale Systems for Flexible Electricity and Reduced Fossil Fuel Emissions

    SciTech Connect (OSTI)

    Daniel Curtis; Charles Forsberg; Humberto Garcia

    2015-05-01

    We propose the development of Nuclear Renewable Oil Shale Systems (NROSS) in northern Europe, China, and the western United States to provide large supplies of flexible, dispatchable, very-low-carbon electricity and fossil fuel production with reduced CO2 emissions. NROSS are a class of large hybrid energy systems in which base-load nuclear reactors provide the primary energy used to produce shale oil from kerogen deposits and simultaneously provide flexible, dispatchable, very-low-carbon electricity to the grid. Kerogen is solid organic matter trapped in sedimentary shale, and large reserves of this resource, called oil shale, are found in northern Europe, China, and the western United States. NROSS couples electricity generation and transportation fuel production in a single operation, reduces lifecycle carbon emissions from the fuel produced, improves revenue for the nuclear plant, and enables a major shift toward a very-low-carbon electricity grid. NROSS will require a significant development effort in the United States, where kerogen resources have never been developed on a large scale. In Europe, however, nuclear plants have been used for process heat delivery (district heating), and kerogen use is familiar in certain countries. Europe, China, and the United States all have the opportunity to use large scale NROSS development to enable major growth in renewable generation and either substantially reduce or eliminate their dependence on foreign fossil fuel supplies, accelerating their transitions to cleaner, more efficient, and more reliable energy systems.

  13. Emissions of greenhouse gases from the use of transportation fuels and electricity. Volume 2: Appendixes A--S

    SciTech Connect (OSTI)

    DeLuchi, M.A.

    1993-11-01

    This volume contains the appendices to the report on Emission of Greenhouse Gases from the Use of Transportation Fuels and Electricity. Emissions of methane, nitrous oxide, carbon monoxide, and other greenhouse gases are discussed. Sources of emission including vehicles, natural gas operations, oil production, coal mines, and power plants are covered. The various energy industries are examined in terms of greenhouse gas production and emissions. Those industries include electricity generation, transport of goods via trains, trucks, ships and pipelines, coal, natural gas and natural gas liquids, petroleum, nuclear energy, and biofuels.

  14. Buildings

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

    Superior Energy Performance® Policy Interpretation providing a certification pathway for Commercial Buildings May 7, 2015 Question: As a hotel or university campus, can I use the supporting standards and protocols developed for SEP- Industry to apply for SEP certification? Response: The SEP Administrator is providing this interpretation regarding the types of facilities that can be certified to Superior Energy Performance (SEP). Background: A number of owners/operators of buildings and complex

  15. Life Cycle Greenhouse Gas Emissions of Nuclear Electricity Generation: Systematic Review and Harmonization

    SciTech Connect (OSTI)

    Warner, E. S.; Heath, G. A.

    2012-04-01

    A systematic review and harmonization of life cycle assessment (LCA) literature of nuclear electricity generation technologies was performed to determine causes of and, where possible, reduce variability in estimates of life cycle greenhouse gas (GHG) emissions to clarify the state of knowledge and inform decision making. LCA literature indicates that life cycle GHG emissions from nuclear power are a fraction of traditional fossil sources, but the conditions and assumptions under which nuclear power are deployed can have a significant impact on the magnitude of life cycle GHG emissions relative to renewable technologies. Screening 274 references yielded 27 that reported 99 independent estimates of life cycle GHG emissions from light water reactors (LWRs). The published median, interquartile range (IQR), and range for the pool of LWR life cycle GHG emission estimates were 13, 23, and 220 grams of carbon dioxide equivalent per kilowatt-hour (g CO{sub 2}-eq/kWh), respectively. After harmonizing methods to use consistent gross system boundaries and values for several important system parameters, the same statistics were 12, 17, and 110 g CO{sub 2}-eq/kWh, respectively. Harmonization (especially of performance characteristics) clarifies the estimation of central tendency and variability. To explain the remaining variability, several additional, highly influential consequential factors were examined using other methods. These factors included the primary source energy mix, uranium ore grade, and the selected LCA method. For example, a scenario analysis of future global nuclear development examined the effects of a decreasing global uranium market-average ore grade on life cycle GHG emissions. Depending on conditions, median life cycle GHG emissions could be 9 to 110 g CO{sub 2}-eq/kWh by 2050.

  16. Emissions

    Office of Scientific and Technical Information (OSTI)

    Emissions of Greenhouse Gases from the Use of Transportation Fuels and Electricity Volume 1: Main Text ::_:_ii_i!!._i_!!!i_!!_!_!i!ii_!).._i!iiii!!_i!i_!!_iii!i!_ii_iii!!_i!i!ii_!i!!_!!!_ii!!_)i!i_i_i!!ii!i!_!!ii!!i_!i_!iii_!!i!i_i!i!!_!ii_i!i._!ii_i!i!_i!_!!!i!!_!_!!_!_!!!!i_!_!!!i_:``.!ii!!_i_i_i!!!_!_!_ii_i_!_i_i_!!i!i!i!!!ii:!i_i!_ii!_!!ii_! ,qh_...dllri" :._m..41W..- ,,mm,m_ - Centerfor TransportationResearch Argonne NationalLaboratory Operated by lhe University of Chicago, under

  17. Well-to-Wheels Analysis of Energy Use and Greenhouse Gas Emissions of Plug-in Hybrid Electric Vehicles

    SciTech Connect (OSTI)

    Elgowainy, A.; Han, J.; Poch, L.; Wang, M.; Vyas, A.; Mahalik, M.; Rousseau, A.

    2010-06-01

    This report examines energy use and emissions from primary energy source through vehicle operation to help researchers understand the impact of the upstream mix of electricity generation technologies for recharging plug-in hybrid electric vehicles (PHEVs), as well as the powertrain technology and fuel sources for PHEVs.

  18. Nitrogen oxides emission control options for coal-fired electric utility boilers

    SciTech Connect (OSTI)

    Ravi K. Srivastava; Robert E. Hall; Sikander Khan; Kevin Culligan; Bruce W. Lani

    2005-09-01

    Recent regulations have required reductions in emissions of nitrogen oxides (NOx) from electric utility boilers. To comply with these regulatory requirements, it is increasingly important to implement state-of-the-art NOx control technologies on coal-fired utility boilers. This paper reviews NOx control options for these boilers. It discusses the established commercial primary and secondary control technologies and examines what is being done to use them more effectively. Furthermore, the paper discusses recent developments in NOx controls. The popular primary control technologies in use in the United States are low-NOx burners and overfire air. Data reflect that average NOx reductions for specific primary controls have ranged from 35% to 63% from 1995 emissions levels. The secondary NOx control technologies applied on U.S. coal-fired utility boilers include reburning, selective noncatalytic reduction (SNCR), and selective catalytic reduction (SCR). Thirty-six U.S. coal-fired utility boilers have installed SNCR, and reported NOx reductions achieved at these applications ranged from 15% to 66%. Recently, SCR has been installed at 150 U.S. coal-fired utility boilers. Data on the performance of 20 SCR systems operating in the United States with low-NOx emissions reflect that in 2003, these units achieved NOx emission rates between 0.04 and 0.07 lb/106 Btu. 106 refs., 6 figs., 6 tabs.

  19. Updated greenhouse gas and criteria air pollutant emission factors and their probability distribution functions for electricity generating units

    SciTech Connect (OSTI)

    Cai, H.; Wang, M.; Elgowainy, A.; Han, J.

    2012-07-06

    Greenhouse gas (CO{sub 2}, CH{sub 4} and N{sub 2}O, hereinafter GHG) and criteria air pollutant (CO, NO{sub x}, VOC, PM{sub 10}, PM{sub 2.5} and SO{sub x}, hereinafter CAP) emission factors for various types of power plants burning various fuels with different technologies are important upstream parameters for estimating life-cycle emissions associated with alternative vehicle/fuel systems in the transportation sector, especially electric vehicles. The emission factors are typically expressed in grams of GHG or CAP per kWh of electricity generated by a specific power generation technology. This document describes our approach for updating and expanding GHG and CAP emission factors in the GREET (Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation) model developed at Argonne National Laboratory (see Wang 1999 and the GREET website at http://greet.es.anl.gov/main) for various power generation technologies. These GHG and CAP emissions are used to estimate the impact of electricity use by stationary and transportation applications on their fuel-cycle emissions. The electricity generation mixes and the fuel shares attributable to various combustion technologies at the national, regional and state levels are also updated in this document. The energy conversion efficiencies of electric generating units (EGUs) by fuel type and combustion technology are calculated on the basis of the lower heating values of each fuel, to be consistent with the basis used in GREET for transportation fuels. On the basis of the updated GHG and CAP emission factors and energy efficiencies of EGUs, the probability distribution functions (PDFs), which are functions that describe the relative likelihood for the emission factors and energy efficiencies as random variables to take on a given value by the integral of their own probability distributions, are updated using best-fit statistical curves to characterize the uncertainties associated with GHG and CAP emissions in life-cycle modeling with GREET.

  20. Building.

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

    Plant in ITER refers to plant systems located outside the Tokamak Building. A thick wall of concrete surrounding the main tokamak cryostat and designed to absorb the bulk of any remaining radiation from the plasma or from activated components inside the cryostat. This shields the region outside so that it can be accessed after shutdown for major hands-on repairs. The structure surrounding the plasma in a fusion reactor, within which the fusion-produced neutrons are slowed down, heat is

  1. An expanded review and comparison of greenhouse gas emissions from fossil fuel and geothermal electrical generating facilities

    SciTech Connect (OSTI)

    Booth, R.B.; Neil, P.E.

    1998-12-31

    This paper provides a review of the greenhouse gas emissions due to fossil fuel and geothermal electrical generation and to the emissions of their respective support activities. These support activities consist of, exploration, development, and transportation aspects of the fuel source, including waste management. These support activities could amount to an additional 6% for coal, 22% for oil, 13% for natural gas and 1% for geothermal. The presented methodologies and underlying principles can be used to better define the resultant emissions, rankings and global impacts of these electrical generating industries.

  2. Opt-E-Plus Software for Commercial Building Optimization; Electricity, Resources, & Building Systems Integration (Fact Sheet)

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

    Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC National Renewable Energy Laboratory Innovation for Our Energy Future National Renewable Energy Laborato Innovation for Our Energy Future Horizontal Format-A Horizontal Format-A Reversed Providing Options to Meet Design Goals Opt-E-Plus was developed by NREL to help determine cost- effective, energy-efficient building strategies quickly, taking into account the many factors involved in the

  3. Building America Top Innovations 2012: High-Performance with Solar Electric Reduced Peak Demand

    SciTech Connect (OSTI)

    none,

    2013-01-01

    This Building America Top Innovations profile describes Building America solar home research that has demonstrated the ability to reduce peak demand by 75%. Numerous field studies have monitored power production and system effectiveness.

  4. OPTIMIZING TECHNOLOGY TO REDUCE MERCURY AND ACID GAS EMISSIONS FROM ELECTRIC POWER PLANTS

    SciTech Connect (OSTI)

    Jeffrey C. Quick; David E. Tabet; Sharon Wakefield; Roger L. Bon

    2005-10-01

    Maps showing potential mercury, sulfur, chlorine, and moisture emissions for U.S. coal by county of origin were made from publicly available data (plates 1, 2, 3, and 4). Published equations that predict mercury capture by emission control technologies used at U.S. coal-fired utilities were applied to average coal quality values for 169 U.S. counties. The results were used to create five maps that show the influence of coal origin on mercury emissions from utility units with: (1) hot-side electrostatic precipitator (hESP), (2) cold-side electrostatic precipitator (cESP), (3) hot-side electrostatic precipitator with wet flue gas desulfurization (hESP/FGD), (4) cold-side electrostatic precipitator with wet flue gas desulfurization (cESP/FGD), and (5) spray-dry adsorption with fabric filter (SDA/FF) emission controls (plates 5, 6, 7, 8, and 9). Net (lower) coal heating values were calculated from measured coal Btu values, and estimated coal moisture and hydrogen values; the net heating values were used to derive mercury emission rates on an electric output basis (plate 10). Results indicate that selection of low-mercury coal is a good mercury control option for plants having hESP, cESP, or hESP/FGD emission controls. Chlorine content is more important for plants having cESP/FGD or SDA/FF controls; optimum mercury capture is indicated where chlorine is between 500 and 1000 ppm. Selection of low-sulfur coal should improve mercury capture where carbon in fly ash is used to reduce mercury emissions. Comparison of in-ground coal quality with the quality of commercially mined coal indicates that existing coal mining and coal washing practice results in a 25% reduction of mercury in U.S. coal before it is delivered to the power plant. Further pre-combustion mercury reductions may be possible, especially for coal from Texas, Ohio, parts of Pennsylvania and much of the western U.S.

  5. Federal Buildings Supplemental Survey 1993

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

    6. Electricity Consumption and Expenditure Intensities in FBSS Buildings in Federal Region 3, 1993 Electricity Consumption Electricity Expenditures Distribution of Building-Level...

  6. Chapter 5 - Increasing Efficiency of Buildings Systems and Technologies |

    Office of Environmental Management (EM)

    Department of Energy 5 - Increasing Efficiency of Buildings Systems and Technologies Chapter 5 - Increasing Efficiency of Buildings Systems and Technologies Chapter 5 - Increasing Efficiency of Buildings Systems and Technologies The buildings sector accounts for about 76%* of electricity use and 40% of all U.S. primary energy use and associated greenhouse gas (GHG) emissions, making it essential to reduce energy consumption in buildings in order to meet national energy and environmental

  7. Comparative life-cycle air emissions of coal, domestic natural gas, LNG, and SNG for electricity generation

    SciTech Connect (OSTI)

    Paulina Jaramillo; W. Michael Griffin; H. Scott Matthews

    2007-09-15

    The U.S. Department of Energy (DOE) estimates that in the coming decades the United States' natural gas (NG) demand for electricity generation will increase. Estimates also suggest that NG supply will increasingly come from imported liquefied natural gas (LNG). Additional supplies of NG could come domestically from the production of synthetic natural gas (SNG) via coal gasification-methanation. The objective of this study is to compare greenhouse gas (GHG), SOx, and NOx life-cycle emissions of electricity generated with NG/LNG/SNG and coal. This life-cycle comparison of air emissions from different fuels can help us better understand the advantages and disadvantages of using coal versus globally sourced NG for electricity generation. Our estimates suggest that with the current fleet of power plants, a mix of domestic NG, LNG, and SNG would have lower GHG emissions than coal. If advanced technologies with carbon capture and sequestration (CCS) are used, however, coal and a mix of domestic NG, LNG, and SNG would have very similar life-cycle GHG emissions. For SOx and NOx we find there are significant emissions in the upstream stages of the NG/LNG life-cycles, which contribute to a larger range in SOx and NOx emissions for NG/LNG than for coal and SNG. 38 refs., 3 figs., 2 tabs.

  8. Miscellaneous Electricity Services in the Buildings Sector (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01

    Residential and commercial electricity consumption for miscellaneous services has grown significantly in recent years and currently accounts for more electricity use than any single major end-use service in either sector (including space heating, space cooling, water heating, and lighting). In the residential sector, a proliferation of consumer electronics and information technology equipment has driven much of the growth. In the commercial sector, telecommunications and network equipment and new advances in medical imaging have contributed to recent growth in miscellaneous electricity use.

  9. Building America System Research Plan for Reduction of Miscellaneous Electrical Loads in Zero Energy Homes

    SciTech Connect (OSTI)

    Barley, C. D.; Haley, C.; Anderson, R.; Pratsch, L.

    2008-11-01

    This research plan describes the overall scope of system research that is needed to reduce miscellaneous electrical loads (MEL) in future net zero energy homes.

  10. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    5 2010 Impacts of Saving an Electric Quad (1) Utility Average-Sized Aggregate Number of Units Fuel Input Utility Unit (MW) to Provide the Fuel's Share Plant Fuel Type Shares (%) in 2010 of the Electric Quad (2) Coal 49% 36 Petroleum 1% 96 Natural Gas 19% 141 Nuclear 22% 3 Renewable (3) 10% 184 Total 100% 460 Note(s): Source(s): EIA, Electric Power Annual 2010, Feb. 2012, Table 1.2; and EIA, Annual Energy Outlook 2012 Early Release, Jan. 2012, Table A2 for consumption and Table A8 for electricity

  11. Greenhouse gas emission impacts of electric vehicles under varying driving cycles in various counties and US cities

    SciTech Connect (OSTI)

    Wang, M.Q.; Marr, W.W.

    1994-02-10

    Electric vehicles (EVs) can reduce greenhouse gas emissions, relative to emissions from gasoline-fueled vehicles. However, those studies have not considered all aspects that determine greenhouse gas emissions from both gasoline vehicles (GVs) and EVs. Aspects often overlooked include variations in vehicle trip characteristics, inclusion of all greenhouse gases, and vehicle total fuel cycle. In this paper, we estimate greenhouse gas emission reductions for EVs, including these important aspects. We select four US cities (Boston, Chicago, Los Angeles, and Washington, D.C.) and six countries (Australia, France, Japan, Norway, the United Kingdom, and the United States) and analyze greenhouse emission impacts of EVs in each city or country. We also select six driving cycles developed around the world (i.e., the US federal urban driving cycle, the Economic Community of Europe cycle 15, the Japanese 10-mode cycle, the Los Angeles 92 cycle, the New York City cycle, and the Sydney cycle). Note that we have not analyzed EVs in high-speed driving (e.g., highway driving), where the results would be less favorable to EVs; here, EVs are regarded as urban vehicles only. We choose one specific driving cycle for a given city or country and estimate the energy consumption of four-passenger compact electric and gasoline cars in the given city or country. Finally, we estimate total fuel cycle greenhouse gas emissions of both GVs and EVs by accounting for emissions from primary energy recovery, transportation, and processing; energy product transportation; and powerplant and vehicle operations.

  12. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    7 U.S. Electric Power Sector Cumulative Power Plant Additions Needed to Meet Future Electricity Demand (1) Typical New Number of New Power Plants to Meet Demand Electric Generator Plant Capacity (MW) 2015 2020 2025 2030 2035 Coal Steam 1,300 7 8 8 8 8 Combined Cycle 540 28 29 43 79 130 Combustion Turbine/Diesel 148 62 105 174 250 284 Nuclear Power 2,236 1 3 3 3 4 Pumped Storage 147 (2) 0 0 0 0 0 Fuel Cells 10 0 0 0 0 0 Conventional Hydropower 20 (2) 20 47 81 125 185 Geothermal 50 9 26 41 62 81

  13. Resource Information and Forecasting Group; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-11-01

    Researchers in the Resource Information and Forecasting group at NREL provide scientific, engineering, and analytical expertise to help characterize renewable energy resources and facilitate the integration of these clean energy sources into the electricity grid.

  14. Chapter 5: Increasing Efficiency of Building Systems and Technologies

    Office of Environmental Management (EM)

    5: Increasing Efficiency of Building Systems and Technologies September 2015 Quadrennial Technology Review 5 Increasing Efficiency of Building Systems and Technologies Issues and RDD&D Opportunities The buildings sector accounts for about 76% of electricity use and 40% of all U. S. primary energy use and associated greenhouse gas (GHG) emissions, making it essential to reduce energy consumption in buildings in order to meet national energy and environmental challenges (Chapter 1) and to

  15. Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory

    SciTech Connect (OSTI)

    Parks, K.; Denholm, P.; Markel, T.

    2007-05-01

    The combination of high oil costs, concerns about oil security and availability, and air quality issues related to vehicle emissions are driving interest in plug-in hybrid electric vehicles (PHEVs). PHEVs are similar to conventional hybrid electric vehicles, but feature a larger battery and plug-in charger that allows electricity from the grid to replace a portion of the petroleum-fueled drive energy. PHEVs may derive a substantial fraction of their miles from grid-derived electricity, but without the range restrictions of pure battery electric vehicles. As of early 2007, production of PHEVs is essentially limited to demonstration vehicles and prototypes. However, the technology has received considerable attention from the media, national security interests, environmental organizations, and the electric power industry. The use of PHEVs would represent a significant potential shift in the use of electricity and the operation of electric power systems. Electrification of the transportation sector could increase generation capacity and transmission and distribution (T&D) requirements, especially if vehicles are charged during periods of high demand. This study is designed to evaluate several of these PHEV-charging impacts on utility system operations within the Xcel Energy Colorado service territory.

  16. Well-to-wheels energy use and greenhouse gas emissions analysis of plug-in hybrid electric vehicles.

    SciTech Connect (OSTI)

    Elgowainy, A.; Burnham, A.; Wang, M.; Molburg, J.; Rousseau, A.; Energy Systems

    2009-03-31

    Researchers at Argonne National Laboratory expanded the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model and incorporated the fuel economy and electricity use of alternative fuel/vehicle systems simulated by the Powertrain System Analysis Toolkit (PSAT) to conduct a well-to-wheels (WTW) analysis of energy use and greenhouse gas (GHG) emissions of plug-in hybrid electric vehicles (PHEVs). The WTW results were separately calculated for the blended charge-depleting (CD) and charge-sustaining (CS) modes of PHEV operation and then combined by using a weighting factor that represented the CD vehicle-miles-traveled (VMT) share. As indicated by PSAT simulations of the CD operation, grid electricity accounted for a share of the vehicle's total energy use, ranging from 6% for a PHEV 10 to 24% for a PHEV 40, based on CD VMT shares of 23% and 63%, respectively. In addition to the PHEV's fuel economy and type of on-board fuel, the marginal electricity generation mix used to charge the vehicle impacted the WTW results, especially GHG emissions. Three North American Electric Reliability Corporation regions (4, 6, and 13) were selected for this analysis, because they encompassed large metropolitan areas (Illinois, New York, and California, respectively) and provided a significant variation of marginal generation mixes. The WTW results were also reported for the U.S. generation mix and renewable electricity to examine cases of average and clean mixes, respectively. For an all-electric range (AER) between 10 mi and 40 mi, PHEVs that employed petroleum fuels (gasoline and diesel), a blend of 85% ethanol and 15% gasoline (E85), and hydrogen were shown to offer a 40-60%, 70-90%, and more than 90% reduction in petroleum energy use and a 30-60%, 40-80%, and 10-100% reduction in GHG emissions, respectively, relative to an internal combustion engine vehicle that used gasoline. The spread of WTW GHG emissions among the different fuel production technologies and grid generation mixes was wider than the spread of petroleum energy use, mainly due to the diverse fuel production technologies and feedstock sources for the fuels considered in this analysis. The PHEVs offered reductions in petroleum energy use as compared with regular hybrid electric vehicles (HEVs). More petroleum energy savings were realized as the AER increased, except when the marginal grid mix was dominated by oil-fired power generation. Similarly, more GHG emissions reductions were realized at higher AERs, except when the marginal grid generation mix was dominated by oil or coal. Electricity from renewable sources realized the largest reductions in petroleum energy use and GHG emissions for all PHEVs as the AER increased. The PHEVs that employ biomass-based fuels (e.g., biomass-E85 and -hydrogen) may not realize GHG emissions benefits over regular HEVs if the marginal generation mix is dominated by fossil sources. Uncertainties are associated with the adopted PHEV fuel consumption and marginal generation mix simulation results, which impact the WTW results and require further research. More disaggregate marginal generation data within control areas (where the actual dispatching occurs) and an improved dispatch modeling are needed to accurately assess the impact of PHEV electrification. The market penetration of the PHEVs, their total electric load, and their role as complements rather than replacements of regular HEVs are also uncertain. The effects of the number of daily charges, the time of charging, and the charging capacity have not been evaluated in this study. A more robust analysis of the VMT share of the CD operation is also needed.

  17. NREL Helps Countries Build Stronger Economies with Low-Emission Development

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

    - Continuum Magazine | NREL Photo taken from above looking down between two rows of red, yellow, blue, green and white flags. Below, two women look toward a man as they all walk forward on a white floor dappled with squares of sunshine. NREL's Caroline Uriarte, Andrea Watson, and Dan Bilello stroll below an array of international flags. The three are a few of the laboratory's key players in global partnerships that assist developing countries with low-emission economic development. Through

  18. Clean Energy State Program Guide: Mainstreaming Solar Electricity Strategies for States to Build Local Markets

    Broader source: Energy.gov [DOE]

    A PV mapping tool visually represents a specific site and calculates PV system size and projected electricity production. This report identifies the commercially available solar mapping tools and thoroughly summarizes the source data type and resolution, the visualization software program being used, user inputs, calculation methodology and algorithms, map outputs, and development costs for each map.

  19. Building Technologies Office Overview

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

    Roland Risser Director, Building Technologies Office Building Technologies Office Overview Our Homes and Buildings Use 40% of Our Nation's Energy and 75% of Electricity Energy Use Electricity Use Residential Transportation 21 quads 27 quads Commercial 18 quads Industrial 31 quads U.S. Energy Bill for Buildings: $410 billion per year 2 Building Technologies Office (BTO) Ecosystem Emerging Technologies Building Codes Appliance Standards Residential Buildings Integration Commercial Buildings

  20. Estimates of health risks associated with radionuclide emissions from fossil-fueled steam-electric generating plants. Final report

    SciTech Connect (OSTI)

    Nelson, C.

    1995-08-01

    Under the Title III, Section 112 of the 1990 Clean Air Act Amendment, Congress directed the U.S. Environmental Protection Agency (EPA) to perform a study of the hazards to public resulting from pollutants emitted by electric utility system generating units. Radionuclides are among the groups of pollutants listed in the amendment. This report updates previously published data and estimates with more recently available information regarding the radionuclide contents of fossil fuels, associated emissions by steam-electric power plants, and potential health effects to exposed population groups.

  1. Electrically driven single photon emission from a CdSe/ZnSSe single quantum dot at 200?K

    SciTech Connect (OSTI)

    Quitsch, Wolf; Kmmell, Tilmar; Bacher, Gerd; Gust, Arne; Kruse, Carsten; Hommel, Detlef

    2014-09-01

    High temperature operation of an electrically driven single photon emitter based on a single epitaxial quantum dot is reported. CdSe/ZnSSe/MgS quantum dots are embedded into a p-i-n diode architecture providing almost background free excitonic and biexcitonic electroluminescence from individual quantum dots through apertures in the top contacts. Clear antibunching with g{sup 2}(??=?0)?=?0.28??0.20 can be tracked up to T?=?200?K, representing the highest temperature for electrically triggered single photon emission from a single quantum dot device.

  2. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    5 U.S. Electric Utility and Nonutility Net Summer Electricity Generation Capacity (GW) Coal Steam Other Fossil Combine Cycle Combustion Turbine Nuclear Pumped Total 1980 0.0 1981 0.0 1982 0.0 1983 0.0 1984 0.0 1985 0.0 1986 0.0 1987 0.0 1988 0.0 1989 18.1 1990 19.5 1991 18.4 1992 21.2 1993 21.1 1994 21.2 1995 21.4 1996 21.1 1997 19.3 1998 19.5 1999 19.6 2000 19.5 2001 19.7 2002 20.4 2003 20.5 2004 20.8 2005 21.3 2006 21.5 2007 21.9 2008 21.9 2009 22.2 2010 22.2 2011 22.2 2012 22.2 2013 22.2 2014

  3. Carbon Capture and Water Emissions Treatment System (CCWESTRS) at Fossil-Fueled Electric Generating Plants

    SciTech Connect (OSTI)

    P. Alan Mays; Bert R. Bock; Gregory A. Brodie; L. Suzanne Fisher; J. Devereux Joslin; Donald L. Kachelman; Jimmy J. Maddox; N. S. Nicholas; Larry E. Shelton; Nick Taylor; Mark H. Wolfe; Dennis H. Yankee; John Goodrich-Mahoney

    2005-08-30

    The Tennessee Valley Authority (TVA), the Electric Power Research Institute (EPRI), and the Department of Energy-National Energy Technologies Laboratory (DOE-NETL) are evaluating and demonstrating integration of terrestrial carbon sequestration techniques at a coal-fired electric power plant through the use of Flue Gas Desulfurization (FGD) system gypsum as a soil amendment and mulch, and coal fly ash pond process water for periodic irrigation. From January to March 2002, the Project Team initiated the construction of a 40 ha Carbon Capture and Water Emissions Treatment System (CCWESTRS) near TVA's Paradise Fossil Plant on marginally reclaimed surface coal mine lands in Kentucky. The CCWESTRS is growing commercial grade trees and cover crops and is expected to sequester 1.5-2.0 MT/ha carbon per year over a 20-year period. The concept could be used to meet a portion of the timber industry's needs while simultaneously sequestering carbon in lands which would otherwise remain non-productive. The CCWESTRS includes a constructed wetland to enhance the ability to sequester carbon and to remove any nutrients and metals present in the coal fly ash process water runoff. The CCWESTRS project is a cooperative effort between TVA, EPRI, and DOE-NETL, with a total budget of $1,574,000. The proposed demonstration project began in October 2000 and has continued through December 2005. Additional funding is being sought in order to extend the project. The primary goal of the project is to determine if integrating power plant processes with carbon sequestration techniques will enhance carbon sequestration cost-effectively. This goal is consistent with DOE objectives to provide economically competitive and environmentally safe options to offset projected growth in U.S. baseline emissions of greenhouse gases after 2010, achieve the long-term goal of $10/ton of avoided net costs for carbon sequestration, and provide half of the required reductions in global greenhouse gases by 2025. Other potential benefits of the demonstration include developing a passive technology for water treatment for trace metal and nutrient release reductions, using power plant by-products to improve coal mine land reclamation and carbon sequestration, developing wildlife habitat and green-space around production facilities, generating Total Maximum Daily Load (TMDL) credits for the use of process water, and producing wood products for use by the lumber and pulp and paper industry. Project activities conducted during the five year project period include: Assessing tree cultivation and other techniques used to sequester carbon; Project site assessment; Greenhouse studies to determine optimum plant species and by-product application; Designing, constructing, operating, monitoring, and evaluating the CCWESTRS system; and Reporting (ongoing). The ability of the system to sequester carbon will be the primary measure of effectiveness, measured by accessing survival and growth response of plants within the CCWESTRS. In addition, costs associated with design, construction, and monitoring will be evaluated and compared to projected benefits of other carbon sequestration technologies. The test plan involves the application of three levels each of two types of power plant by-products--three levels of FGD gypsum mulch, and three levels of ash pond irrigation water. This design produces nine treatment levels which are being tested with two species of hardwood trees (sweet gum and sycamore). The project is examining the effectiveness of applications of 0, 8-cm, and 15-cm thick gypsum mulch layers and 0, 13 cm, and 25 cm of coal fly ash water for irrigation. Each treatment combination is being replicated three times, resulting in a total of 54 treatment plots (3 FGD gypsum levels X 3 irrigation water levels x 2 tree species x 3 replicates). Survival and growth response of plant species in terms of sequestering carbon in plant material and soil will be the primary measure of effectiveness of each treatment. Additionally, the ability of the site soils and unsaturated zone subsurface m

  4. Table 6a. Total Electricity Consumption per Effective Occupied...

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

    a. Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total Electricity Consumption...

  5. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    2010 Existing Capacity, by Energy Source (GW) Number of Generator Nameplate Net Summer Net Winter Plant Fuel Type Generators Capacity Capacity Capacity Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Wind Solar Thermal and Photovoltaic Wood and Wood Derived Fuels Geothermal Other Biomass Pumped Storage Other Total Source(s): EIA, Electric Power Annual 2010, Feb. 2012, Table 1.2. 51 1.0 0.9 0.9 18,150 1,138.6 1,039.1 1,078.7 1,574 5.0 4.4 4.4 151 20.5 22.2 22.1 346 7.9

  6. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    2 Net Internal Demand, Capacity Resources, and Capacity Margins in the Contiguous United States (GW) Net Internal Capacity Capacity Demand (1) Resources (2) Margin (3) 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Note(s): Source(s): 778.5 980.3 20.6% 1) Net internal demand represents the system demand that is planned for by the electric power industry`s reliability authority and is equal to internal demand less direct control load

  7. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    3 Electric Capacity Factors, by Year and Fuel Type (1) Conventional Coal Petroleum Natural Gas Nuclear Hydroelectric Solar/PV Wind Total 1990 59% 17% 23% 66% 45% 13% 18% 46% 1991 59% 18% 22% 70% 43% 17% 18% 46% 1992 59% 14% 22% 71% 38% 13% 18% 45% 1993 61% 16% 21% 70% 41% 16% 19% 46% 1994 61% 15% 22% 74% 38% 17% 23% 46% 1995 62% 11% 22% 77% 45% 17% 21% 47% 1996 65% 11% 19% 76% 52% 18% 22% 48% 1997 66% 13% 20% 72% 51% 17% 23% 48% 1998 67% 20% 23% 79% 47% 17% 20% 50% 1999 67% 20% 22% 85% 46% 15%

  8. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    6 U.S. Renewable Electric Utility and Nonutility Net Summer Electricity Generation Capacity (GW) Conv. Hydropower Geothermal Municipal Solid Waste Biomass Solar Thermal Solar PV Wind 1980 81.7 0.9 0.0 0.1 0.0 N.A. N.A. 1981 82.4 0.9 0.0 0.1 0.0 N.A. 0.0 1982 83.0 1.0 0.0 0.1 0.0 N.A. 0.0 1983 83.9 1.2 0.0 0.2 0.0 N.A. 0.0 1984 85.3 1.2 0.0 0.3 0.0 N.A. 0.0 1985 88.9 1.6 0.2 0.2 0.0 N.A. 0.0 1986 89.3 1.6 0.2 0.2 0.0 N.A. 0.0 1987 89.7 1.5 0.2 0.2 0.0 N.A. 0.0 1988 90.3 1.7 0.2 0.2 0.0 N.A. 0.0

  9. Well-to-wheels analysis of energy use and greenhouse gas emissions of plug-in hybrid electric vehicles.

    SciTech Connect (OSTI)

    Elgowainy, A.; Han, J.; Poch, L.; Wang, M.; Vyas, A.; Mahalik, M.; Rousseau, A.

    2010-06-14

    Plug-in hybrid electric vehicles (PHEVs) are being developed for mass production by the automotive industry. PHEVs have been touted for their potential to reduce the US transportation sector's dependence on petroleum and cut greenhouse gas (GHG) emissions by (1) using off-peak excess electric generation capacity and (2) increasing vehicles energy efficiency. A well-to-wheels (WTW) analysis - which examines energy use and emissions from primary energy source through vehicle operation - can help researchers better understand the impact of the upstream mix of electricity generation technologies for PHEV recharging, as well as the powertrain technology and fuel sources for PHEVs. For the WTW analysis, Argonne National Laboratory researchers used the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model developed by Argonne to compare the WTW energy use and GHG emissions associated with various transportation technologies to those associated with PHEVs. Argonne researchers estimated the fuel economy and electricity use of PHEVs and alternative fuel/vehicle systems by using the Powertrain System Analysis Toolkit (PSAT) model. They examined two PHEV designs: the power-split configuration and the series configuration. The first is a parallel hybrid configuration in which the engine and the electric motor are connected to a single mechanical transmission that incorporates a power-split device that allows for parallel power paths - mechanical and electrical - from the engine to the wheels, allowing the engine and the electric motor to share the power during acceleration. In the second configuration, the engine powers a generator, which charges a battery that is used by the electric motor to propel the vehicle; thus, the engine never directly powers the vehicle's transmission. The power-split configuration was adopted for PHEVs with a 10- and 20-mile electric range because they require frequent use of the engine for acceleration and to provide energy when the battery is depleted, while the series configuration was adopted for PHEVs with a 30- and 40-mile electric range because they rely mostly on electrical power for propulsion. Argonne researchers calculated the equivalent on-road (real-world) fuel economy on the basis of U.S. Environmental Protection Agency miles per gallon (mpg)-based formulas. The reduction in fuel economy attributable to the on-road adjustment formula was capped at 30% for advanced vehicle systems (e.g., PHEVs, fuel cell vehicles [FCVs], hybrid electric vehicles [HEVs], and battery-powered electric vehicles [BEVs]). Simulations for calendar year 2020 with model year 2015 mid-size vehicles were chosen for this analysis to address the implications of PHEVs within a reasonable timeframe after their likely introduction over the next few years. For the WTW analysis, Argonne assumed a PHEV market penetration of 10% by 2020 in order to examine the impact of significant PHEV loading on the utility power sector. Technological improvement with medium uncertainty for each vehicle was also assumed for the analysis. Argonne employed detailed dispatch models to simulate the electric power systems in four major regions of the US: the New England Independent System Operator, the New York Independent System Operator, the State of Illinois, and the Western Electric Coordinating Council. Argonne also evaluated the US average generation mix and renewable generation of electricity for PHEV and BEV recharging scenarios to show the effects of these generation mixes on PHEV WTW results. Argonne's GREET model was designed to examine the WTW energy use and GHG emissions for PHEVs and BEVs, as well as FCVs, regular HEVs, and conventional gasoline internal combustion engine vehicles (ICEVs). WTW results are reported for charge-depleting (CD) operation of PHEVs under different recharging scenarios. The combined WTW results of CD and charge-sustaining (CS) PHEV operations (using the utility factor method) were also examined and reported. According to the utility factor method, the share of vehicle miles traveled during CD operation is 25% for PHEV10 and 51% for PHEV40. Argonne's WTW analysis of PHEVs revealed that the following factors significantly impact the energy use and GHG emissions results for PHEVs and BEVs compared with baseline gasoline vehicle technologies: (1) the regional electricity generation mix for battery recharging and (2) the adjustment of fuel economy and electricity consumption to reflect real-world driving conditions. Although the analysis predicted the marginal electricity generation mixes for major regions in the United States, these mixes should be evaluated as possible scenarios for recharging PHEVs because significant uncertainties are associated with the assumed market penetration for these vehicles. Thus, the reported WTW results for PHEVs should be directly correlated with the underlying generation mix, rather than with the region linked to that mix.

  10. Office Buildings - Energy Consumption

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

    Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity,...

  11. Building Energy Code

    Broader source: Energy.gov [DOE]

    The Connecticut Office of the State Building Inspector establishes and enforces building, electrical, mechanical, plumbing and energy code requirements by reviewing, developing, adopting and...

  12. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    1 EPA Criteria Pollutant Emissions Coefficients (Million Short Tons/Delivered Quadrillion Btu, unless otherwise noted) All Buildings | SO2 0.402 0.042 | 0.130 NOx 0.164 0.063 | 0.053 CO 0.057 0.283 | 0.018 Note(s): Source(s): Electricity Electricity (1) Site Fossil Fuel (2) (per primary quad) (1) 1) Emissions of SO2 are 28% lower for 2002 than 1994 estimates since Phase II of the 1990 Clean Air Act Amendments began in 2000. Buildings energy consumption related SO2 emissions dropped 65% from 1994

  13. Reducing Emissions of Sulfur Dioxide, Nitrogen Oxides, and Mercury from Electric Power Plants

    Reports and Publications (EIA)

    2001-01-01

    This analysis responds to a request from Senators Bob Smith, George Voinovich, and Sam Brownback to examine the costs of specific multi-emission reduction strategies.

  14. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    4 U.S. Electricity Net Generation, by Plant Type (Billion kWh) Renewables Growth Rate Hydr(1) Oth(2) Total CHP (3) Tot.(4) 2010-year 1980 276 6 282 N.A. 1981 261 6 267 N.A. 1982 309 5 314 N.A. 1983 332 6 339 N.A. 1984 321 9 330 N.A. 1985 281 11 292 N.A. 1986 291 12 302 N.A. 1987 250 12 262 N.A. 1988 223 12 235 N.A. 1989 269 28 297 42 1990 290 35 324 61 1991 286 38 324 72 1992 250 40 290 91 1993 278 42 320 108 1994 254 42 296 123 1995 305 39 345 141 1996 341 41 382 147 1997 351 41 392 148 1998

  15. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    4 Electric Conversion Factors and Transmission and Distribution (T&D) Losses Average Utility Average Utility Growth Rate Delivery Efficiency (1, 2) Delivery Ratio (Btu/kWh) (2, 3) (2010-year) 1980 29.4% 1981 29.9% 1982 29.7% 1983 29.8% 1984 30.5% 1985 30.4% 1986 30.8% 1987 31.1% 1988 31.1% 1989 30.2% 1990 30.3% 1991 30.5% 1992 30.7% 1993 30.6% 1994 30.9% 1995 30.7% 1996 30.7% 1997 30.8% 1998 30.7% 1999 30.6% 2000 30.7% 2001 31.1% 2002 31.1% 2003 31.3% 2004 31.3% 2005 31.5% 2006 31.7% 2007

  16. Battery Electric Vehicles can reduce greenhouse has emissions and make renewable energy cheaper in India

    SciTech Connect (OSTI)

    Gopal, Anand R; Witt, Maggie; Sheppard, Colin; Harris, Andrew

    2015-07-01

    India's National Mission on Electric Mobility (NMEM) sets a countrywide goal of deploying 6 to 7 million hybrid and electric vehicles (EVs) by 2020. There are widespread concerns, both within and outside the government, that the Indian grid is not equipped to accommodate additional power demand from battery electric vehicles (BEVs). Such concerns are justified on the grounds of India's notorious power sector problems pertaining to grid instability and chronic blackouts. Studies have claimed that deploying BEVs in India will only

  17. A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data

    SciTech Connect (OSTI)

    Hong, Tianzhen; Chang, Wen-Kuei; Lin, Hung-Wen

    2013-05-01

    Buildings consume more than one third of the world?s total primary energy. Weather plays a unique and significant role as it directly affects the thermal loads and thus energy performance of buildings. The traditional simulated energy performance using Typical Meteorological Year (TMY) weather data represents the building performance for a typical year, but not necessarily the average or typical long-term performance as buildings with different energy systems and designs respond differently to weather changes. Furthermore, the single-year TMY simulations do not provide a range of results that capture yearly variations due to changing weather, which is important for building energy management, and for performing risk assessments of energy efficiency investments. This paper employs large-scale building simulation (a total of 3162 runs) to study the weather impact on peak electricity demand and energy use with the 30-year (1980 to 2009) Actual Meteorological Year (AMY) weather data for three types of office buildings at two design efficiency levels, across all 17 ASHRAE climate zones. The simulated results using the AMY data are compared to those from the TMY3 data to determine and analyze the differences. Besides further demonstration, as done by other studies, that actual weather has a significant impact on both the peak electricity demand and energy use of buildings, the main findings from the current study include: 1) annual weather variation has a greater impact on the peak electricity demand than it does on energy use in buildings; 2) the simulated energy use using the TMY3 weather data is not necessarily representative of the average energy use over a long period, and the TMY3 results can be significantly higher or lower than those from the AMY data; 3) the weather impact is greater for buildings in colder climates than warmer climates; 4) the weather impact on the medium-sized office building was the greatest, followed by the large office and then the small office; and 5) simulated energy savings and peak demand reduction by energy conservation measures using the TMY3 weather data can be significantly underestimated or overestimated. It is crucial to run multi-decade simulations with AMY weather data to fully assess the impact of weather on the long-term performance of buildings, and to evaluate the energy savings potential of energy conservation measures for new and existing buildings from a life cycle perspective.

  18. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    2 U.S. Electricity Generation Input Fuel Shares (Percent) Renewables Natural Gas Petroleum Coal Hydro. Oth(2) Total Nuclear Other (3) Total 1980 15.7% 10.8% 50.2% 11.8% 0.2% 12.1% 11.3% (1) 100% 1981 15.4% 9.0% 51.8% 11.2% 0.3% 11.4% 12.3% (1) 100% 1982 13.9% 6.6% 52.6% 13.6% 0.2% 13.8% 13.1% (1) 100% 1983 12.2% 6.3% 53.9% 14.3% 0.3% 14.6% 13.1% (1) 100% 1984 12.6% 5.1% 54.9% 13.2% 0.4% 13.5% 14.0% (1) 100% 1985 12.1% 4.2% 56.2% 11.3% 0.4% 11.8% 15.7% (1) 100% 1986 10.2% 5.6% 55.3% 11.7% 0.5%

  19. Buildings Energy Data Book: 6.1 Electric Utility Energy Consumption

    Buildings Energy Data Book [EERE]

    3 U.S. Electricity Generation Input Fuel Consumption (Quadrillion Btu) Renewables Growth Rate Hydro. Oth(2) Total Nuclear Other (3) Total 2010-Year 1980 2.87 0.06 2.92 2.74 (1) 24.32 1981 2.72 0.06 2.79 3.01 (1) 24.49 1982 3.23 0.05 3.29 3.13 (1) 23.95 1983 3.49 0.07 3.56 3.20 (1) 24.60 1984 3.35 0.09 3.44 3.55 (1) 25.59 1985 2.94 0.11 3.05 4.08 (1) 26.09 1986 3.04 0.12 3.16 4.38 (1) 26.22 1987 2.60 0.13 2.73 4.75 (1) 26.94 1988 2.30 0.12 2.43 5.59 (1) 28.27 1989 2.81 0.41 3.22 5.60 (1) 29.88

  20. Emissions from Medium-Duty Conventional and Diesel-Electric Hybrid Vehicles; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Ragatz, A.; Duran, A.; Thornton, M.; Walkowicz, K.

    2014-04-02

    This presentation discusses the results of emissions testing for medium-duty conventional and diesel-electric hybrid vehicles. Testing was based on a field evaluation approach that utilized the Fleet DNA drive cycle database and NRELs Renewable Fuels and Lubricants (ReFUEL) Laboratory chassis dynamometer. Vehicles tested included parcel delivery (Class 6 step vans), beverage delivery (Class 8 tractors), and parcel delivery (Class 7 box trucks) vehicles, all with intended service class medium/heavy heavy-duty diesel (MHDD).
    Results for fuel economy and tailpipe NOx emissions included: diesel hybrid electric vehicles showed an average fuel economy advantage on identified test cycles: Class 6 Step Vans: 26%; Class 7 Box Trucks: 24.7%; Class 8 Tractors: 17.3%. Vehicle miles traveled is an important factor in determining total petroleum and CO2 displacement. Higher NOx emissions were observed over some test cycles: highly drive cycle dependent; engine-out differences may result from different engine operating point; and selective catalyst reduction temperature may play a role, but does not explain the whole story.

  1. X-ray emission from a nanosecond-pulse discharge in an inhomogeneous electric field at atmospheric pressure

    SciTech Connect (OSTI)

    Zhang Cheng; Shao Tao; Ren Chengyan; Zhang Dongdong; Tarasenko, Victor; Kostyrya, Igor D.; Ma Hao; Yan Ping

    2012-12-15

    This paper describes experimental studies of the dependence of the X-ray intensity on the anode material in nanosecond high-voltage discharges. The discharges were generated by two nanosecond-pulse generators in atmospheric air with a highly inhomogeneous electric field by a tube-plate gap. The output pulse of the first generator (repetitive pulse generator) has a rise time of about 15 ns and a full width at half maximum of 30-40 ns. The output of the second generator (single pulse generator) has a rise time of about 0.3 ns and a full width at half maximum of 1 ns. The electrical characteristics and the X-ray emission of nanosecond-pulse discharge in atmospheric air are studied by the measurement of voltage-current waveforms, discharge images, X-ray count and dose. Our experimental results showed that the anode material rarely affects electrical characteristics, but it can significantly affect the X-ray density. Comparing the density of X-rays, it was shown that the highest x-rays density occurred in the diffuse discharge in repetitive pulse mode, then the spark discharge with a small air gap, and then the corona discharge with a large air gap, in which the X-ray density was the lowest. Therefore, it could be confirmed that the bremsstrahlung at the anode contributes to the X-ray emission from nanosecond-pulse discharges.

  2. Implications of High Renewable Electricity Penetration in the U.S. for Water Use, Greenhouse Gas Emissions, Land-Use, and Materials Supply

    Broader source: Energy.gov [DOE]

    Recent work found that renewable energy could supply 80% of electricity demand in the contiguous United States in 2050 at the hourly level. This paper explores some of the implications of achieving such high levels of renewable electricity for supply chains and the environment in scenarios with renewable supply up to such levels. Transitioning to high renewable electricity supply would lead to significant reductions in greenhouse gas emissions and water use, with only modest land-use implications. While renewable energy expansion implies moderate growth of the renewable electricity supply chains, no insurmountable long-term constraints to renewable electricity technology manufacturing capacity or materials supply are identified.

  3. Enhancement in light emission and electrical efficiencies of a silicon nanocrystal light-emitting diode by indium tin oxide nanowires

    SciTech Connect (OSTI)

    Huh, Chul, E-mail: chuh@etri.re.kr; Kim, Bong Kyu; Ahn, Chang-Geun; Kim, Sang-Hyeob [IT Convergence Technology Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon 305-350 (Korea, Republic of); Choi, Chel-Jong [Department of BIN Fusion Technology, Chonbuk National University, Jeonju 561-756 (Korea, Republic of)

    2014-07-21

    We report an enhancement in light emission and electrical efficiencies of a Si nanocrystal (NC) light-emitting diode (LED) by employing indium tin oxide (ITO) nanowires (NWs). The formed ITO NWs (diameter?electrical characteristics of Si NC LED were significantly improved, which was attributed to an enhancement in the current spreading property due to densely interconnecting ITO NWs. In addition, light output power and wall-plug efficiency from the Si NC LED were enhanced by 45% and 38%, respectively. This was originated from an enhancement in the escape probability of the photons generated in the Si NCs due to multiple scatterings at the surface of ITO NWs acting as a light waveguide. We show here that the use of the ITO NWs can be very useful for realizing a highly efficient Si NC LED.

  4. State-level Greenhouse Gas Emission Factors for Electricity Generation, Updated 2002

    Reports and Publications (EIA)

    2002-01-01

    This report documents the preparation of updated state-level electricity coefficients for carbon dioxide (CO ), methane (CH ), and nitrous oxide (NO), which represent a three-year weighted average for 1998-2000.

  5. Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior

    SciTech Connect (OSTI)

    Kavousian, A; Rajagopal, R; Fischer, M

    2013-06-15

    We propose a method to examine structural and behavioral determinants of residential electricity consumption, by developing separate models for daily maximum (peak) and minimum (idle) consumption. We apply our method on a data set of 1628 households' electricity consumption. The results show that weather, location and floor area are among the most important determinants of residential electricity consumption. In addition to these variables, number of refrigerators and entertainment devices (e.g., VCRs) are among the most important determinants of daily minimum consumption, while number of occupants and high-consumption appliances such as electric water heaters are the most significant determinants of daily maximum consumption. Installing double-pane windows and energy-efficient lights helped to reduce consumption, as did the energy-conscious use of electric heater. Acknowledging climate change as a motivation to save energy showed correlation with lower electricity consumption. Households with individuals over 55 or between 19 and 35 years old recorded lower electricity consumption, while pet owners showed higher consumption. Contrary to some previous studies, we observed no significant correlation between electricity consumption and income level, home ownership, or building age. Some otherwise energy-efficient features such as energy-efficient appliances, programmable thermostats, and insulation were correlated with slight increase in electricity consumption. (C) 2013 Elsevier Ltd. All rights reserved.

  6. Optimizing Technology to Reduce Mercury and Acid Gas Emissions from Electric Power Plants

    SciTech Connect (OSTI)

    Jeffrey C. Quick; David E. Tabet; Sharon Wakefield; Roger L. Bon

    2005-01-31

    Revised maps and associated data show potential mercury, sulfur, and chlorine emissions for U.S. coal by county of origin. Existing coal mining and coal washing practices result in a 25% reduction of mercury in U.S. coal before it is delivered to the power plant. Selection of low-mercury coal is a good mercury control option for plants having hot-side ESP, cold-side ESP, or hot-side ESP/FGD emission controls. Chlorine content is more important for plants having cold-side ESP/FGD or SDA/FF controls; optimum net mercury capture is indicated where chlorine is between 500 and 1000 ppm. Selection of low-sulfur coal should improve mercury capture where carbon in fly ash is used to reduce mercury emissions.

  7. Life Cycle Greenhouse Gas Emissions of Thin-film Photovoltaic Electricity Generation: Systematic Review and Harmonization

    Broader source: Energy.gov [DOE]

    As clean energy increasingly becomes part of the national dialogue, lenders, utilities, and lawmakers need the most comprehensive and accurate information on GHG emissions from various sources of energy to inform policy, planning, and investment decisions. The National Renewable Energy Laboratory (NREL) recently led the Life Cycle Assessment (LCA) Harmonization Project, a study that gives decision makers and investors more precise estimates of life cycle GHG emissions for renewable and conventional generation, clarifying inconsistent and conflicting estimates in the published literature, and reducing uncertainty.

  8. Life Cycle Greenhouse Gas Emissions of Crystalline Silicon Photovoltaic Electricity Generation: Systematic Review and Harmonization

    Broader source: Energy.gov [DOE]

    As clean energy increasingly becomes part of the national dialogue, lenders, utilities, and lawmakers need the most comprehensive and accurate information on GHG emissions from various sources of energy to inform policy, planning, and investment decisions. The National Renewable Energy Laboratory (NREL) recently led the Life Cycle Assessment (LCA) Harmonization Project, a study that gives decision makers and investors more precise estimates of life cycle GHG emissions for renewable and conventional generation, clarifying inconsistent and conflicting estimates in the published literature, and reducing uncertainty.

  9. Life Cycle Greenhouse Gas Emissions of Coal-Fired Electricity Generation: Systematic Review and Harmonization

    Broader source: Energy.gov [DOE]

    As clean energy increasingly becomes part of the national dialogue, lenders, utilities, and lawmakers need the most comprehensive and accurate information on GHG emissions from various sources of energy to inform policy, planning, and investment decisions. The National Renewable Energy Laboratory (NREL) recently led the Life Cycle Assessment (LCA) Harmonization Project, a study that gives decision makers and investors more precise estimates of life cycle GHG emissions for renewable and conventional generation, clarifying inconsistent and conflicting estimates in the published literature, and reducing uncertainty.

  10. Life Cycle Greenhouse Gas Emissions of Nuclear Electricity Generation: Systematic Review and Harmonization

    Broader source: Energy.gov [DOE]

    As clean energy increasingly becomes part of the national dialogue, lenders, utilities, and lawmakers need the most comprehensive and accurate information on GHG emissions from various sources of energy to inform policy, planning, and investment decisions. The National Renewable Energy Laboratory (NREL) recently led the Life Cycle Assessment (LCA) Harmonization Project, a study that gives decision makers and investors more precise estimates of life cycle GHG emissions for renewable and conventional generation, clarifying inconsistent and conflicting estimates in the published literature, and reducing uncertainty.

  11. High-Performance with Solar Electric Reduced Peak Demand: Premier Homes Rancho Cordoba, CA- Building America Top Innovation

    Broader source: Energy.gov [DOE]

    This Building America Innovations profile describes Building America solar home research that has demonstrated the ability to reduce peak demand by 75%. Numerous field studies have monitored power production and system effectiveness.

  12. Analysis of Strategies for Reducing Multiple Emissions from Electric Power Plants: SO2, Nox, CO2

    Reports and Publications (EIA)

    2001-01-01

    This report responds to a request received from Senator David McIntosh on June 29, 2000 to analyze the impacts on energy consumers and producers of coordinated strategies to reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide at U.S. power plants.

  13. Buildings Energy Data Book: 1.5 Generic Fuel Quad and Comparison

    Buildings Energy Data Book [EERE]

    4 Average Annual Carbon Dioxide Emissions for Various Functions Stock Refrigerator (1) kWh - Electricity Stock Electric Water Heater kWh - Electricity Stock Gas Water Heater million Btu - Natural Gas Stock Oil Water Heater million Btu - Fuel Oil Single-Family Home million Btu Mobile Home million Btu Multi-Family Unit in Large Building million Btu Multi-Family Unit in Small Building million Btu School Building million Btu Office Building million Btu Hospital, In-Patient million Btu Stock Vehicles

  14. Emission

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

    Emission intensities and line ratios from a fast neutral helium beam J-W. Ahn a͒ Department of Physics, University of Wisconsin, Madison, Wisconsin 53706, USA D. Craig, b͒ G. Fiksel, and D. J. Den Hartog Department of Physics, University of Wisconsin, Madison, Wisconsin 53706, USA and Center for Magnetic Self-Organization in Laboratory and Astrophysical Plasmas, Madison, Wisconsin 53706, USA J. K. Anderson Department of Physics, University of Wisconsin, Madison, Wisconsin 53706, USA M. G.

  15. Buildings*","Buildings

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

    Water-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Water Heating","Water-Heating ...

  16. Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction

    SciTech Connect (OSTI)

    Malikopoulos, Andreas

    2013-01-01

    Widespread use of alternative hybrid powertrains currently appears inevitable and many opportunities for substantial progress remain. The necessity for environmentally friendly vehicles, in conjunction with increasing concerns regarding U.S. dependency on foreign oil and climate change, has led to significant investment in enhancing the propulsion portfolio with new technologies. Recently, plug-in hybrid electric vehicles (PHEVs) have attracted considerable attention due to their potential to reduce petroleum consumption and greenhouse gas (GHG) emissions in the transportation sector. PHEVs are especially appealing for short daily commutes with excessive stop-and-go driving. However, the high costs associated with their components, and in particular, with their energy storage systems have been significant barriers to extensive market penetration of PEVs. In the research reported here, we investigated the implications of motor/generator and battery size on fuel economy and GHG emissions in a medium duty PHEV. An optimization framework is proposed and applied to two different parallel powertrain configurations, pre-transmission and post-transmission, to derive the Pareto frontier with respect to motor/generator and battery size. The optimization and modeling approach adopted here facilitates better understanding of the potential benefits from proper selection of motor/generator and battery size on fuel economy and GHG emissions. This understanding can help us identify the appropriate sizing of these components and thus reducing the PHEV cost. Addressing optimal sizing of PHEV components could aim at an extensive market penetration of PHEVs.

  17. Compare All CBECS Activities: Electricity Use

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

    Electricity Use Compare Activities by ... Electricity Use Total Electricity Consumption by Building Type Commercial buildings in the U.S. used a total of approximately 908 billion...

  18. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    0 2010 Emissions Summary Table for U.S. Buildings Energy Consumption (Thousand Short Tons) (1) Buildings Buildings Percent Wood/SiteFossil Electricity Total U.S. Total of U.S. Total SO2 (2) 54% NOx 17% CO 5% VOCs 2% PM-2.5 15% PM-10 7% Note(s): Source(s): 1) VOCs = volatile organic compounds; PM-10 = particulate matter less than 10 micrometers in aerodynamic diameter. PM-2.5 = particulate matter less than 2.5 micrometers in aerodynamic diameter. CO and VOCs site fossil emissions mostly from wood

  19. Modeling Electric Vehicle Benefits Connected to Smart Grids

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Mendes, Goncalo; Kloess, Maximillian; Cardoso, Goncalo; Mégel, Olivier; Siddiqui, Afzal

    2011-07-01

    Connecting electric storage technologies to smartgrids will have substantial implications in building energy systems. Local storage will enable demand response. Mobile storage devices in electric vehicles (EVs) are in direct competition with conventional stationary sources at the building. EVs will change the financial as well as environmental attractiveness of on-site generation (e.g. PV, or fuel cells). In order to examine the impact of EVs on building energy costs and CO2 emissions in 2020, a distributed-energy-resources adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs or CO2 emissions. The mixed-integer linear program is applied to a set of 139 different commercial buildings in California and example results as well as the aggregated economic and environmental benefits are reported. The research shows that considering second life of EV batteries might be very beneficial for commercial buildings.

  20. Impacts of Rising Air Temperatures and Emissions Mitigation on Electricity Demand and Supply in the United States. A Multi-Model Comparison

    SciTech Connect (OSTI)

    McFarland, James; Zhou, Yuyu; Clarke, Leon; Sullivan, Patrick; Colman, Jesse; Jaglom, Wendy S.; Colley, Michelle; Patel, Pralit; Eom, Jiyon; Kim, Son H.; Kyle, G. Page; Schultz, Peter; Venkatesh, Boddu; Haydel, Juanita; Mack, Charlotte; Creason, Jared

    2015-06-10

    The electric power sector both affects and is affected by climate change. Numerous studies highlight the potential of the power sector to reduce greenhouse gas emissions. Fewer studies have explored the physical impacts of climate change on the power sector. Our present analysis examines how projected rising temperatures affect the demand for and supply of electricity. We apply a common set of temperature projections to three well-known electric sector models in the United States: the US version of the Global Change Assessment Model (GCAM-USA), the Regional Electricity Deployment System model (ReEDS), and the Integrated Planning Model (IPM®). Incorporating the effects of rising temperatures from a control scenario without emission mitigation into the models raises electricity demand by 1.6 to 6.5 % in 2050 with similar changes in emissions. Moreover, the increase in system costs in the reference scenario to meet this additional demand is comparable to the change in system costs associated with decreasing power sector emissions by approximately 50 % in 2050. This result underscores the importance of adequately incorporating the effects of long-run temperature change in climate policy analysis.

  1. Impacts of Rising Air Temperatures and Emissions Mitigation on Electricity Demand and Supply in the United States. A Multi-Model Comparison

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

    McFarland, James; Zhou, Yuyu; Clarke, Leon; Sullivan, Patrick; Colman, Jesse; Jaglom, Wendy S.; Colley, Michelle; Patel, Pralit; Eom, Jiyon; Kim, Son H.; et al

    2015-06-10

    The electric power sector both affects and is affected by climate change. Numerous studies highlight the potential of the power sector to reduce greenhouse gas emissions. Fewer studies have explored the physical impacts of climate change on the power sector. Our present analysis examines how projected rising temperatures affect the demand for and supply of electricity. We apply a common set of temperature projections to three well-known electric sector models in the United States: the US version of the Global Change Assessment Model (GCAM-USA), the Regional Electricity Deployment System model (ReEDS), and the Integrated Planning Model (IPM®). Incorporating the effectsmore » of rising temperatures from a control scenario without emission mitigation into the models raises electricity demand by 1.6 to 6.5 % in 2050 with similar changes in emissions. Moreover, the increase in system costs in the reference scenario to meet this additional demand is comparable to the change in system costs associated with decreasing power sector emissions by approximately 50 % in 2050. This result underscores the importance of adequately incorporating the effects of long-run temperature change in climate policy analysis.« less

  2. Forest County Potawatomi Tribe Cuts Emissions, Promotes Green Growth |

    Office of Environmental Management (EM)

    Department of Energy Tribe Cuts Emissions, Promotes Green Growth Forest County Potawatomi Tribe Cuts Emissions, Promotes Green Growth February 23, 2012 - 6:29pm Addthis The Forest County Potawatomi Tribe's solar system is providing heating, cooling, and electricity to the Tribe's administration building in Milwaukee, Wisconsin. Photo from the Forest County Potawatomi Tribe. The Forest County Potawatomi Tribe's solar system is providing heating, cooling, and electricity to the Tribe's

  3. Life Cycle Greenhouse Gas Emissions of Trough and Tower Concentrating Solar Power Electricity Generation: Systematic Review and Harmonization

    SciTech Connect (OSTI)

    Burkhardt, J. J.; Heath, G.; Cohen, E.

    2012-04-01

    In reviewing life cycle assessment (LCA) literature of utility-scale concentrating solar power (CSP) systems, this analysis focuses on reducing variability and clarifying the central tendency of published estimates of life cycle greenhouse gas (GHG) emissions through a meta-analytical process called harmonization. From 125 references reviewed, 10 produced 36 independent GHG emissions estimates passing screens for quality and relevance: 19 for parabolic trough (trough) technology and 17 for power tower (tower) technology. The interquartile range (IQR) of published estimates for troughs and towers were 83 and 20 grams of carbon dioxide equivalent per kilowatt-hour (g CO2-eq/kWh),1 respectively; median estimates were 26 and 38 g CO2-eq/kWh for trough and tower, respectively. Two levels of harmonization were applied. Light harmonization reduced variability in published estimates by using consistent values for key parameters pertaining to plant design and performance. The IQR and median were reduced by 87% and 17%, respectively, for troughs. For towers, the IQR and median decreased by 33% and 38%, respectively. Next, five trough LCAs reporting detailed life cycle inventories were identified. The variability and central tendency of their estimates are reduced by 91% and 81%, respectively, after light harmonization. By harmonizing these five estimates to consistent values for global warming intensities of materials and expanding system boundaries to consistently include electricity and auxiliary natural gas combustion, variability is reduced by an additional 32% while central tendency increases by 8%. These harmonized values provide useful starting points for policy makers in evaluating life cycle GHG emissions from CSP projects without the requirement to conduct a full LCA for each new project.

  4. Effect of Heat and Electricity Storage and Reliability on Microgrid Viability:A Study of Commercial Buildings in California and New York States

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Siddiqui, Afzal; Lai, Judy; Coffey, Brian; Aki, Hirohisa

    2008-12-01

    In past work, Berkeley Lab has developed the Distributed Energy Resources Customer Adoption Model (DER-CAM). Given end-use energy details for a facility, a description of its economic environment and a menu of available equipment, DER-CAM finds the optimal investment portfolio and its operating schedule which together minimize the cost of meeting site service, e.g., cooling, heating, requirements. Past studies have considered combined heat and power (CHP) technologies. Methods and software have been developed to solve this problem, finding optimal solutions which take simultaneity into account. This project aims to extend on those prior capabilities in two key dimensions. In this research storage technologies have been added as well as power quality and reliability (PQR) features that provide the ability to value the additional indirect reliability benefit derived from Consortium for Electricity Reliability Technology Solutions (CERTS) Microgrid capability. This project is intended to determine how attractive on-site generation becomes to a medium-sized commercial site if economical storage (both electrical and thermal), CHP opportunities, and PQR benefits are provided in addition to avoiding electricity purchases. On-site electrical storage, generators, and the ability to seamlessly connect and disconnect from utility service would provide the facility with ride-through capability for minor grid disturbances. Three building types in both California and New York are assumed to have a share of their sensitive electrical load separable. Providing enhanced service to this load fraction has an unknown value to the facility, which is estimated analytically. In summary, this project began with 3 major goals: (1) to conduct detailed analysis to find the optimal equipment combination for microgrids at a few promising commercial building hosts in the two favorable markets of California and New York; (2) to extend the analysis capability of DER-CAM to include both heat and electricity storage; and (3) to make an initial effort towards adding consideration of PQR into the capabilities of DER-CAM.

  5. ELECTRIC

    Office of Legacy Management (LM)

    ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A

  6. Optimizing Techology to Reduce Mercury and Acid Gas Emissions from Electric Power Plants

    SciTech Connect (OSTI)

    Jeffrey C. Quick; David E. Tabet; Sharon Wakefield; Roger L. Bon

    2004-01-31

    More than 56,000 coal quality data records from five public data sets have been selected for use in this project. These data will be used to create maps showing where coals with low mercury and acid-gas emissions might be found for power plants classified by air-pollution controls. Average coal quality values, calculated for 51,156 commercial coals by U.S. county-of-origin, are listed in the appendix. Coal moisture values are calculated for commercially shipped coal from 163 U.S. counties, where the raw assay data (including mercury and chlorine values) are reported on a dry basis. The calculated moisture values are verified by comparison with observed moisture values in commercial coal. Moisture in commercial U.S. coal shows provincial variation. For example, high volatile C bituminous rank coal from the Interior province has 3% to 4% more moisture than equivalent Rocky Mountain province coal. Mott-Spooner difference values are calculated for 4,957 data records for coals collected from coal mines and exploration drill holes. About 90% of the records have Mott-Spooner difference values within {+-}250 Btu/lb.

  7. CO2 Capture Using Electric Fields: Low-Cost Electrochromic Film on Plastic for Net-Zero Energy Building

    SciTech Connect (OSTI)

    None

    2010-01-01

    Broad Funding Opportunity Announcement Project: Two faculty members at Lehigh University created a new technique called supercapacitive swing adsorption (SSA) that uses electrical charges to encourage materials to capture and release CO2. Current CO2 capture methods include expensive processes that involve changes in temperature or pressure. Lehigh Universitys approach uses electric fields to improve the ability of inexpensive carbon sorbents to trap CO2. Because this process uses electric fields and not electric current, the overall energy consumption is projected to be much lower than conventional methods. Lehigh University is now optimizing the materials to maximize CO2 capture and minimize the energy needed for the process.

  8. Table 2a. Electricity Consumption and Electricity Intensities...

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

    Administration Home Page Home > Commercial Buildings Home > Sq Ft Tables > Table 2a. Electricity Consumption per Sq Ft Table 2a. Electricity Consumption and Electricity...

  9. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    Carbon Dioxide Emissions for U.S. Buildings, by Year (Million Metric Tons) (1) Buildings U.S. Site Growth Rate Buildings % Buildings % Fossil Electricity Total 2010-Year Total of Total U.S. of Total Global 1980 630 933 1562 - 4723 - 33% 8.5% 1981 586 945 1531 - 4601 - 33% 8.4% 1982 585 938 1523 - 4357 - 35% 8.4% 1983 566 959 1524 - 4332 - 35% 8.4% 1984 584 990 1575 - 4561 - 35% 8.2% 1985 569 1026 1595 - 4559 - 35% 8.2% 1986 558 1033 1592 - 4564 - 35% 8.0% 1987 566 1077 1642 - 4714 - 35% 8.0%

  10. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    8 2010 Carbon Dioxide Emission Coefficients for Buildings (MMT CO2 per Quadrillion Btu) (1) All Residential Commercial Buildings Buildings Buildings Coal Average (2) 95.35 95.35 95.35 Natural Gas Average (2) 53.06 53.06 53.06 Petroleum Products Distillate Fuel Oil/Diesel 73.15 - - Kerosene 72.31 - - Motor Gasoline 70.88 - - Liquefied Petroleum Gas 62.97 - - Residual Fuel Oil 78.80 - - Average (2) 69.62 68.45 71.62 Electricity Consumption (3) Average - Primary (4) 57.43 57.43 57.43 Average - Site

  11. Energy Efficient Buildings Hub

    Broader source: Energy.gov [DOE]

    Science and industry work together to improve energy efficiency and reduce carbon emissions of both new and existing buildings while also stimulating private investment and quality job creation.

  12. Buildings Energy Data Book: 2.4 Residential Environmental Data

    Buildings Energy Data Book [EERE]

    7 2009 Methane Emissions for U.S. Residential Buildings Energy Production, by Fuel Type Fuel Type Petroleum 1.0 Natural Gas 38.8 Coal 0.0 Wood 2.6 Electricity (2) 51.6 Total 94.0 Note(s): Source(s): MMT CO2 Equivalent (1) 1) Sources of emissions include oil and gas production, processing, and distribution; coal mining; and utility and site combustion. Carbon Dioxide equivalent units are calculated by converting methane emissions to carbon dioxide emissions (methane's global warming potential is

  13. Table 11.5b Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas)

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

    b Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Electric Power Sector, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total 1989 1,520,229,870 169,653,294 133,545,718 363,247 4,365,768 1,828,157,897 13,815,263 832 809,873 6,874

  14. Deployment of CCS Technologies across the Load Curve for a Competitive Electricity Market as a Function of CO2 Emissions Permit Prices

    SciTech Connect (OSTI)

    Luckow, Patrick; Wise, Marshall A.; Dooley, James J.

    2011-04-18

    Consistent with other published studies, the modelling presented here reveals that baseload power plants are the first aspects of the electricity sector to decarbonize and are essentially decarbonized once CO2 permit prices exceed a certain threshold ($90/ton CO2 in this study). The decarbonization of baseload electricity is met by significant expansions of nuclear power and renewable energy generation technologies as well as the application of carbon dioxide capture and storage (CCS) technologies applied to both coal and natural gas fired power plants. Relatively little attention has been paid thus far to whether intermediate and peaking units would respond the same way to a climate policy given the very different operational and economic context that these kinds of electricity generation units operate under. In this paper, the authors discuss key aspects of the load segmentation methodology used to imbed a varying electricity demand within the GCAM (a state-of-the-art Integrated Assessment Model) energy and economic modelling framework and present key results on the role CCS technologies could play in decarbonizng subpeak and peak generation (encompassing only the top 10% of the load) and under what conditions. To do this, the authors have modelled two hypothetical climate policies that require 50% and 80% reductions in US emissions from business as usual by the middle of this century. Intermediate electricity generation is virtually decarbonized once carbon prices exceed approximately $150/tonCO2. When CO2 permit prices exceed $160/tonCO2, natural gas power plants with CCS have roughly the same marketshare as conventional gas plants in serving subpeak loads. The penetration of CCS into peak load (upper 6% here) is minimal under the scenarios modeled here suggesting that CO2 emissions from this aspect of the U.S. electricity sector would persist well into the future even with stringent CO2 emission control policies in place.

  15. Effect of Heat and Electricity Storage and Reliability on Microgrid Viability: A Study of Commercial Buildings in California and New York States

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Siddiqui, Afzal; Lai, Judy; Coffey, Brian; Aki, Hirohisa

    2009-03-10

    Berkeley Lab has for several years been developing methods for selection of optimal microgrid systems, especially for commercial building applications, and applying these methods in the Distributed Energy Resources Customer Adoption Model (DER-CAM). This project began with 3 major goals: (1) to conduct detailed analysis to find the optimal equipment combination for microgrids at a few promising commercial building hosts in the two favorable markets of California and New York, (2) to extend the analysis capability of DER-CAM to include both heat and electricity storage, and (3) to make an initial effort towards adding consideration of power quality and reliability (PQR) to the capabilities of DER-CAM. All of these objectives have been pursued via analysis of the attractiveness of a Consortium for Electric Reliability Technology Solutions (CERTS) Microgrid consisting of multiple nameplate 100 kW Tecogen Premium Power Modules (CM-100). This unit consists of an asynchronous inverter-based variable speed internal combustion engine genset with combined heat and power (CHP) and power surge capability. The essence of CERTS Microgrid technology is that smarts added to the on-board power electronics of any microgrid device enables stable and safe islanded operation without the need for complex fast supervisory controls. This approach allows plug and play development of a microgrid that can potentially provide high PQR with a minimum of specialized site-specific engineering. A notable feature of the CM-100 is its time-limited surge rating of 125 kW, and DER-CAM capability to model this feature was also a necessary model enhancement.

  16. Buildings*","Buildings

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

    ... "Buildings with Cooling ......",3625,3469,1188,1794,161,52 "Buildings with Water Heating .",3472,3337,999,1765,226,57 "Buildings with Cooking ......",801,764,223,397,68,8 ...

  17. Analysis of Strategies for Multiple Emissions from Electric Power SO2, NOX, CO2, Mercury and RPS

    Reports and Publications (EIA)

    2001-01-01

    At the request of the Subcommittee, the Energy Information Administration prepared an initial report that focused on the impacts of reducing power sector NOx, SO2, and CO2 emissions. The current report extends the earlier analysis to add the impacts of reducing power sector mercury emissions and introducing renewable portfolio standard (RPS) requirements.

  18. SCENARIOS FOR DEEP CARBON EMISSION REDUCTIONS FROM ELECTRICITY BY 2050 IN WESTERN NORTH AMERICA USING THE SWITCH ELECTRIC POWER SECTOR PLANNING MODEL California's Carbon Challenge Phase II Volume II

    SciTech Connect (OSTI)

    Nelson, James; Mileva, Ana; Johnston, Josiah; Kammen, Daniel; Wei, Max; Greenblatt, Jeffrey

    2014-01-01

    This study used a state-of-the-art planning model called SWITCH for the electric power system to investigate the evolution of the power systems of California and western North America from present-day to 2050 in the context of deep decarbonization of the economy. Researchers concluded that drastic power system carbon emission reductions were feasible by 2050 under a wide range of possible futures. The average cost of power in 2050 would range between $149 to $232 per megawatt hour across scenarios, a 21 to 88 percent increase relative to a business-as-usual scenario, and a 38 to 115 percent increase relative to the present-day cost of power. The power system would need to undergo sweeping change to rapidly decarbonize. Between present-day and 2030 the evolution of the Western Electricity Coordinating Council power system was dominated by implementing aggressive energy efficiency measures, installing renewable energy and gas-fired generation facilities and retiring coal-fired generation. Deploying wind, solar and geothermal power in the 2040 timeframe reduced power system emissions by displacing gas-fired generation. This trend continued for wind and solar in the 2050 timeframe but was accompanied by large amounts of new storage and long-distance high-voltage transmission capacity. Electricity storage was used primarily to move solar energy from the daytime into the night to charge electric vehicles and meet demand from electrified heating. Transmission capacity over the California border increased by 40 - 220 percent by 2050, implying that transmission siting, permitting, and regional cooperation will become increasingly important. California remained a net electricity importer in all scenarios investigated. Wind and solar power were key elements in power system decarbonization in 2050 if no new nuclear capacity was built. The amount of installed gas capacity remained relatively constant between present-day and 2050, although carbon capture and sequestration was installed on some gas plants by 2050.

  19. Buildings","Building Size"

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

    ... Cooling ......",58474,4879,6212,9530,8116,9401,7609,6345,6382 "Buildings with Water Heating .",56115,4280,5748,9000,8088,8887,7527,6258,6327 "Buildings with Cooking ...

  20. Residential Buildings Historical Publications reports, data and...

    Gasoline and Diesel Fuel Update (EIA)

    0 Average Electricity Residential Buildings Consumption Expenditures per Total per Square per per per Total Total Floorspace Building Foot per Household per Square per Household...

  1. Tidal Electric | Open Energy Information

    Open Energy Info (EERE)

    Tidal Electric Place: London, Greater London, United Kingdom Zip: SW19 8UY Product: Developed a technology named 'tidal lagoons' to build tidal electric projects. Coordinates:...

  2. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-03-02

    DOE2.1E-121SUNOS is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS).« less

  3. Life Cycle Greenhouse Gas Emissions of Trough and Tower Concentrating Solar Power Electricity Generation: Systematic Review and Harmonization

    Broader source: Energy.gov [DOE]

    As clean energy increasingly becomes part of the national dialogue, lenders, utilities, and lawmakers need the most comprehensive and accurate information on GHG emissions from various sources of energy to inform policy, planning, and investment decisions. The National Renewable Energy Laboratory (NREL) recently led the Life Cycle Assessment (LCA) Harmonization Project, a study that gives decision makers and investors more precise estimates of life cycle GHG emissions for renewable and conventional generation, clarifying inconsistent and conflicting estimates in the published literature, and reducing uncertainty.

  4. Fuel Mix and Emissions Disclosure

    Broader source: Energy.gov [DOE]

    Electricity suppliers and electricity companies must also provide a fuel mix report to customers twice annually, within the June and December billing cycles. Emissions information must be disclos...

  5. Cooling the greenhouse effect: Options and costs for reducing CO{sub 2} emissions from the American Electric Power Company

    SciTech Connect (OSTI)

    Helme, N.; Popovich, M.G.; Gille, J.

    1993-05-01

    A recent report from the National Academy of Sciences concludes that the earth is likely to face a doubling of preindustrial greenhouse gases in the next half century. This doubling could be expected to push average global temperatures. up from between 1.8 to 9 degrees Fahrenheit. Much of the potential for human impacts on the global climate is linked to fossil fuel consumption. Carbon dioxide emissions from energy consumption in the US totals about one-quarter of the world`s total emissions from energy consumption. Global warming is different from other environmental problems because CO{sub 2} emissions can be captured naturally by trees, grasses, soil, and other plants. In contrast, acid rain emissions reductions can only be accomplished through switching to lower-polluting fuels, conserving energy, or installing costly retrofit technologies. Terrestrial biota, such as trees, plants, grasses and soils, directly affect the CO{sub 2} concentrations in the atmosphere. A number of reports have concluded that forestry and land-use practices can increase CO{sub 2} sequestration and can help reduce or delay the threat of global warming.

  6. Sector-specific issues and reporting methodologies supporting the General Guidelines for the voluntary reporting of greenhouse gases under Section 1605(b) of the Energy Policy Act of 1992. Volume 1: Part 1, Electricity supply sector; Part 2, Residential and commercial buildings sector; Part 3, Industrial sector

    SciTech Connect (OSTI)

    Not Available

    1994-10-01

    DOE encourages you to report your achievements in reducing greenhouse gas emissions and sequestering carbon under this program. Global climate change is increasingly being recognized as a threat that individuals and organizations can take action against. If you are among those taking action, reporting your projects may lead to recognition for you, motivation for others, and synergistic learning for the global community. This report discusses the reporting process for the voluntary detailed guidance in the sectoral supporting documents for electricity supply, residential and commercial buildings, industry, transportation, forestry, and agriculture. You may have reportable projects in several sectors; you may report them separately or capture and report the total effects on an entity-wide report.

  7. Federal Buildings Supplemental Survey 1993

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

    3. Consumption and Expenditures for Sum of Major Fuels, Electricity, and Natural Gas in FBSS Buildings in Federal Region 3, 1993 Sum of Sum of Major Major Electricity Natural...

  8. DOE Announces Webinars on Next Generation Electric Machines,...

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

    Next Generation Electric Machines, Zero Energy Buildings, and More DOE Announces Webinars on Next Generation Electric Machines, Zero Energy Buildings, and More March 26, 2015 - ...

  9. Table 6b. Relative Standard Errors for Total Electricity Consumption...

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

    b. Relative Standard Errors for Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total...

  10. An Overview of the Building Technologies Office

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

    Driving Innovation, Speeding Adoption, Scaling Savings An Overview of the Building Technologies Office Roland Risser Director, Building Technologies Office National Energy Consumption Costs U.S. $410 billion to power 2 National Electricity Use Our homes and buildings use 76% of all U.S. electricity 3 The Opportunity: Energy Savings Potential for Buildings and Homes Reduce building energy use by 50% 4 BTO Budget: FY2013 - Proposed FY2016 $0 $50 $100 $150 $200 $250 $300 Residential Buildings

  11. Buildings interoperability landscape - Draft

    SciTech Connect (OSTI)

    Hardin, Dave B.; Stephan, Eric G.; Wang, Weimin; Corbin, Charles D.; Widergren, Steven E.

    2015-02-01

    Buildings are an integral part of our nation’s energy economy. The advancement in information and communications technology (ICT) has revolutionized energy management in industrial facilities and large commercial buildings. As ICT costs decrease and capabilities increase, buildings automation and energy management features are transforming the small-medium commercial and residential buildings sectors. A vision of a connected world in which equipment and systems within buildings coordinate with each other to efficiently meet their owners’ and occupants’ needs, and where buildings regularly transact business with other buildings and service providers (such as gas and electric service providers) is emerging. However, while the technology to support this collaboration has been demonstrated at various degrees of maturity, the integration frameworks and ecosystems of products that support the ability to easily install, maintain, and evolve building systems and their equipment components are struggling to nurture the fledging business propositions of their proponents.

  12. Better Buildings | Department of Energy

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

    Better Buildings Better Buildings Better Buildings aims to make commercial, public, industrial, and residential buildings 20% more energy efficient over the next decade. This means saving hundreds of billions of dollars on energy bills, reducing GHG emissions, and creating thousands of jobs. Through Better Buildings, public and private sector organizations across the country are working together to share and replicate positive gains in energy efficiency. DOE is currently pursuing strategies

  13. Table 11.2e Carbon Dioxide Emissions From Energy Consumption: Electric Power Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    e Carbon Dioxide Emissions From Energy Consumption: Electric Power Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Geo- thermal Non- Biomass Waste 5 Total 2 Biomass 2 Distillate Fuel Oil 4 Petroleum Coke Residual Fuel Oil Total Wood 6 Waste 7 Total 1949 187 30 2 NA 30 33 NA NA 250 1 NA 1 1950 206 35 2 NA 35 37 NA NA 278 1 NA 1 1951 235 42 2 NA 29 31 NA NA 308 1 NA 1 1952 240 50 2 NA 31 33 NA NA 323 1 NA 1 1953 260 57 3 NA 38 40 NA NA 358 (s) NA (s)

  14. NREL: Buildings Research - Commercial Buildings Research Staff

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

    Commercial Buildings Research Staff Members of the Commercial Buildings research staff have backgrounds in architectural, civil, electrical, environmental, and mechanical engineering, as well as computer science, physics, and chemistry. Brian Ball Kyle Benne Willy Bernal Eric Bonnema Larry Brackney Michael Deru Kristin Field-Macumber Katherine Fleming Stephen Frank Luigi Gentile Polese David Goldwasser Rob Guglielmetti Gregor Henze Adam Hirsch Eric Kozubal Feitau Kung Rois Langner Edwin Lee

  15. NREL: Buildings Research - Residential Buildings Research Staff

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

    Residential Buildings Research Staff Members of the Residential Buildings research staff have backgrounds in architectural, civil, electrical, environmental, and mechanical engineering, as well as environmental design and physics. Kyri Baker Chuck Booten Craig Christensen Dane Christensen Lieko Earle Mike Heaney Scott Horowitz Xin Jin Jeff Maguire Noel Merket Tim Merrigan Lucas Phillips Ben Polly David Roberts Joseph Robertson Stacey Rothgeb Bethany Sparn Eric Wilson Jon Winkler Jason Woods

  16. Application of the Software as a Service Model to the Control of Complex Building Systems

    SciTech Connect (OSTI)

    Stadler, Michael; Donadee, Jon; Marnay, Chris; Lai, Judy; Mendes, Goncalo; Appen, Jan von; Mé gel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

    2011-03-18

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analyzed.

  17. Application of the Software as a Service Model to the Control of Complex Building Systems

    SciTech Connect (OSTI)

    Stadler, Michael; Donadee, Jonathan; Marnay, Chris; Mendes, Goncalo; Appen, Jan von; Megel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

    2011-03-17

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analysed.

  18. Thermal Batteries for Electric Vehicles

    SciTech Connect (OSTI)

    2011-11-21

    HEATS Project: UT Austin will demonstrate a high-energy density and low-cost thermal storage system that will provide efficient cabin heating and cooling for EVs. Compared to existing HVAC systems powered by electric batteries in EVs, the innovative hot-and-cold thermal batteries-based technology is expected to decrease the manufacturing cost and increase the driving range of next-generation EVs. These thermal batteries can be charged with off-peak electric power together with the electric batteries. Based on innovations in composite materials offering twice the energy density of ice and 10 times the thermal conductivity of water, these thermal batteries are expected to achieve a comparable energy density at 25% of the cost of electric batteries. Moreover, because UT Austins thermal energy storage systems are modular, they may be incorporated into the heating and cooling systems in buildings, providing further energy efficiencies and positively impacting the emissions of current building heating/cooling systems.

  19. pre-electricity | OpenEI Community

    Open Energy Info (EERE)

    pre-electricity Home Dc's picture Submitted by Dc(266) Contributor 15 November, 2013 - 13:26 Living Walls ancient building system architect biomimicry building technology cooling...

  20. UNDP/EC-China-Climate Change Capacity Building Program | Open...

    Open Energy Info (EERE)

    UNDPEC-China-Climate Change Capacity Building Program Redirect page Jump to: navigation, search REDIRECT EU-UNDP Low Emission Capacity Building Programme (LECBP) Retrieved from...

  1. Industrial Buildings

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

    Industrial Industrial Manufacturing Buildings Industrialmanufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey...

  2. Buildings*","Buildings

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

    ... "District Chilled Water ......",33,32,6,8,"Q",24,"Q","N" "Water-Heating Energy Sources" "(more than one may apply)" "Electricity ......",1910,1815...

  3. System Simulations of Hybrid Electric Vehicles with Focus on...

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

    System Simulations of Hybrid Electric Vehicles with Focus on Emissions System Simulations of Hybrid Electric Vehicles with Focus on Emissions Comparative simulations of hybrid ...

  4. Distributed Energy Resources for Carbon Emissions Mitigation

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris

    2007-05-01

    The era of publicly mandated GHG emissions restrictions inthe United States has begun with recent legislation in California andseven northeastern states. Commercial and industrial buildings canimprove the carbon-efficiency of end-use energy consumption by installingtechnologies such as on-site cogeneration of electricity and useful heatin combined heat and power systems, thermally-activated cooling, solarelectric and thermal equipment, and energy storage -- collectively termeddistributed energy resources (DER). This research examines a collectionof buildings in California, the Northeast, and the southern United Statesto demonstrate the effects of regional characteristics such as the carbonintensity of central electricity grid, the climate-driven demand forspace heating and cooling, and the availability of solar insolation. Theresults illustrate that the magnitude of a realistic carbon tax ($100/tC)is too small to incent significant carbon-reducing effects oneconomically optimal DER adoption. In large part, this is because costreduction and carbon reduction objectives are roughly aligned, even inthe absence of a carbon tax.

  5. Table C10. Electricity Consumption and Expenditure Intensities...

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

    Electricity Consumption and Expenditure Intensities, 1999" ,"Electricity Consumption",,,,,,"Electricity Expenditures" ,"per Building (thousand kWh)","per Square Foot (kWh)","per...

  6. Type A Accident Investigation Board Report on the July 11, 1996, Electrical Shock at Technical Area 53, Building MPF-14, Los Alamos National Laboratory

    Broader source: Energy.gov [DOE]

    This report is an independent product of an electrical shock accident investigation board appointed by Bruce G. Twining, Manager, Albuquerque Operations Office, Department of Energy.

  7. Jackson Park Hospital Green Building Medical Center

    SciTech Connect (OSTI)

    William Dorsey; Nelson Vasquez

    2010-03-31

    Jackson Park Hospital completed the construction of a new Medical Office Building on its campus this spring. The new building construction has adopted the City of Chicago's recent focus on protecting the environment, and conserving energy and resources, with the introduction of green building codes. Located in a poor, inner city neighborhood on the South side of Chicago, Jackson Park Hospital has chosen green building strategies to help make the area a better place to live and work. The new green building houses the hospital's Family Medicine Residency Program and Specialty Medical Offices. The residency program has been vital in attracting new, young physicians to this medically underserved area. The new outpatient center will also help to allure needed medical providers to the community. The facility also has areas designated to women's health and community education. The Community Education Conference Room will provide learning opportunities to area residents. Emphasis will be placed on conserving resources and protecting our environment, as well as providing information on healthcare access and preventive medicine. The new Medical Office Building was constructed with numerous energy saving features. The exterior cladding of the building is an innovative, locally-manufactured precast concrete panel system with integral insulation that achieves an R-value in excess of building code requirements. The roof is a 'green roof' covered by native plantings, lessening the impact solar heat gain on the building, and reducing air conditioning requirements. The windows are low-E, tinted, and insulated to reduce cooling requirements in summer and heating requirements in winter. The main entrance has an air lock to prevent unconditioned air from entering the building and impacting interior air temperatures. Since much of the traffic in and out of the office building comes from the adjacent Jackson Park Hospital, a pedestrian bridge connects the two buildings, further decreasing the amount of unconditioned air that enters the office building. The HVAC system has an Energy Efficiency Rating 29% greater than required. No CFC based refrigerants were used in the HVAC system, thus reducing the emission of compounds that contribute to ozone depletion and global warming. In addition, interior light fixtures employ the latest energy-efficient lamp and ballast technology. Interior lighting throughout the building is operated by sensors that will automatically turn off lights inside a room when the room is unoccupied. The electrical traction elevators use less energy than typical elevators, and they are made of 95% recycled material. Further, locally manufactured products were used throughout, minimizing the amount of energy required to construct this building. The primary objective was to construct a 30,000 square foot medical office building on the Jackson Park Hospital campus that would comply with newly adopted City of Chicago green building codes focusing on protecting the environment and conserving energy and resources. The energy saving systems demonstrate a state of the-art whole-building approach to energy efficient design and construction. The energy efficiency and green aspects of the building contribute to the community by emphasizing the environmental and economic benefits of conserving resources. The building highlights the integration of Chicago's new green building codes into a poor, inner city neighborhood project and it is designed to attract medical providers and physicians to a medically underserved area.

  8. Commercial Buildings | Department of Energy

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

    Science & Innovation » Energy Efficiency » Commercial Buildings Commercial Buildings At an estimated cost of $38 billion a year, lighting represents the largest source of electricity consumption in U.S. commercial buildings. A new breakthrough by the Energy Department's <a href="/node/712411">National Renewable Energy Lab</a> could help commercial buildings save on lighting and ventilation costs by improving the accuracy of motion detection. At an estimated cost of

  9. Electricity Fuel Basics | Department of Energy

    Office of Environmental Management (EM)

    Vehicles & Fuels » Fuels » Electricity Fuel Basics Electricity Fuel Basics August 19, 2013 - 5:44pm Addthis Electricity used to power vehicles is generally provided by the electricity grid and stored in the vehicle's batteries. Vehicles that run on electricity have no tailpipe emissions. Emissions that can be attributed to electric vehicles are generated during electricity production at the power plant. Charging plug-in electric vehicles at home is as simple as plugging them into an

  10. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-01-24

    DOE2.1E-121 is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS). DOE2.1E-121 contains modifications to DOE2.1E which allows 1000 zones to be modeled.« less

  11. Fuel Mix and Emissions Disclosure | Department of Energy

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

    utility restructuring legislation requires all electric companies and electricity suppliers to provide customers with details regarding the fuel mix and emissions of electric...

  12. EERE & Buildings to Grid Integration

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

    EERE & Buildings to Grid Integration Joe Hagerman, Senior Advisor DOE Building Technologies Office July 22, 2015 EERE: Office of Energy Efficiency and Renewable Energy BTO: Building Technologies Office (Portfolio - RD&D, Deployment, Regulatory) Opportunity to Control Building Loads is Key to Integrating EE & RE effectively with the GRID! Buildings consume 74% electricity produced in the US (CBECS 2009) Buildings have the potential to reduce their consumption by 20%- 30% (18 quads or

  13. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    7 2009 Methane Emissions for U.S. Buildings Energy Production, by Fuel Type (MMT CO2 Equivalent) (1) Fuel Type Residential Commercial Buildings Total Petroleum 1.0 0.5 1.6 Natural Gas 41.0 26.8 67.8 Coal 0.0 0.3 0.3 Wood 2.6 0.4 3.0 Electricity (2) 52.8 50.5 103.3 Total 97.4 78.5 176.0 Note(s): Source(s): 1) Sources of emissions include oil and gas production, processing, and distribution; coal mining; and utility and site combustion. Carbon Dioxide equivalent units are calculated by converting

  14. Mercantile Buildings

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

    Mercantile Characteristics by Activity... Mercantile Mercantile buildings are those used for the sale and display of goods other than food (buildings used for the sales of food are...

  15. Education Buildings

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

    Education Characteristics by Activity... Education Education buildings are buildings used for academic or technical classroom instruction, such as elementary, middle, or high...

  16. Better Buildings

    Broader source: Energy.gov [DOE]

    The Better Buildings Initiative aims to make commercial and industrial buildings 20% more energy efficient by 2020 and accelerate private sector investment in energy efficiency.

  17. City of Greensburg- Green Building Requirement for New Municipal Buildings

    Broader source: Energy.gov [DOE]

    As of 2014, Greensburg is home to the most LEED buildings per capita in the U.S. Other notable clean energy achievements include 100% of the electricity used in the City of Greensburg is renewabl...

  18. Buildings and Climate-Environment | Argonne National Laboratory

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

    Buildings and Climate-Environment Buildings and Climate-Environment Buildings consume over 40% of our nation's total energy and over 75% of its electricity. In order to meet carbon...

  19. Types of Lighting in Commercial Buildings - Introduction

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

    Introduction Lighting is a major consumer of electricity in commercial buildings and a target for energy savings through use of energy-efficient light sources along with other...

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

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

    U.S. Energy Information Administration (EIA) U.S. Energy ... Electricity Sales, revenue and prices, power plants, fuel ... Survey 2012, March 4, 2015. 2012 Commercial Buildings ...

  1. Building America Update - September 10, 2013

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

    issues such as: insulation challenges, optimal strategies of multifamily buildings, electric heating options, off-the-shelf HVAC, duct design and integration, single-family ...

  2. $18.8 Million Award for Power Systems Engineering Research Center Continues Collaboration of 13 Universities and 35 Utilities for Electric Power Research, Building the Nation's Energy Workforce

    Broader source: Energy.gov [DOE]

    The Department of Energy awarded a cooperative agreement on January 16, 2009, to the Arizona State University (ASU) Board of Regents to operate the Power Systems Engineering Research Center (PSERC). PSERC is a collaboration of 13 universities with 35 electricity industry member organizations including utilities, transmission companies, vendors and research organizations.

  3. Evaluating Energy Savings in All-Electric Public Housing in the Pacific Northwest (Fact Sheet), Building America Case Study: Whole-House Solutions for New and Existing Homes, Building Technologies Office (BTO)

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

    and Existing Homes Evaluating Energy Savings in All-Electric Public Housing in the Pacific Northwest Tacoma, Washington PROJECT INFORMATION New Construction: Phase 7 Retrofit Existing: Phases 1-6 Type: Multifamily, affordable Builder: Walsh Construction Size: Phases 1-7, 975 ft 2 to 1,109 ft 2 Years Completed: Phase 7, 2010; Phases 1-6, 2003-2006 Climate Zone: Marine PERFORMANCE DATA Billing analysis savings-Phase 7 versus Phases 1-6: 1,400-3,044 kWh/year Phases 1-6 projected energy savings and

  4. Limiting net greenhouse gas emissions in the United States

    SciTech Connect (OSTI)

    Bradley, R A; Watts, E C; Williams, E R

    1991-09-01

    In 2988 the Congress requested DOE produce a study on carbon dioxide inventory and policy to provide an inventory of emissions sources and to analyze policies to achieve a 20% reduction in carbon dioxide emissions in 5 to 10 years and a 50% reduction in 15 to 20 years. This report presents the results of that study. Energy and environmental technology data were analyzed using computational analysis models. This information was then evaluated, drawing on current scientific understanding of global climate change, the possible consequences of anthropogenic climate change (change caused by human activity), and the relationship between energy production and use and the emission of radiactively important gases. Topics discussed include: energy and environmental technology to reduce greenhouse gas emissions, fossil energy production and electricity generation technologies, nuclear energy technology, renewable energy technologies, energy storage, transmission, and distribution technology, transportation, technology, industrial technology, residential and commercial building technology, greenhouse gas removal technology, approaches to restructuring the demand for energy.

  5. Building America

    SciTech Connect (OSTI)

    Brad Oberg

    2010-12-31

    IBACOS researched the constructability and viability issues of using high performance windows as one component of a larger approach to building houses that achieve the Building America 70% energy savings target.

  6. Modeling analyses of the effects of changes in nitrogen oxides emissions from the electric power sector on ozone levels in the eastern United States

    SciTech Connect (OSTI)

    Edith Gego; Alice Gilliland; James Godowitch

    2008-04-15

    In this paper, we examine the changes in ambient ozone concentrations simulated by the Community Multiscale Air Quality (CMAQ) model for summer 2002 under three different nitrogen oxides (NOx) emission scenarios. Two emission scenarios represent best estimates of 2002 and 2004 emissions; they allow assessment of the impact of the NOx emissions reductions imposed on the utility sector by the NOx State Implementation Plan (SIP) Call. The third scenario represents a hypothetical rendering of what NOx emissions would have been in 2002 if no emission controls had been imposed on the utility sector. Examination of the modeled median and 95th percentile daily maximum 8-hr average ozone concentrations reveals that median ozone levels estimated for the 2004 emission scenario were less than those modeled for 2002 in the region most affected by the NOx SIP Call. Comparison of the 'no-control' with the '2002' scenario revealed that ozone concentrations would have been much higher in much of the eastern United States if the utility sector had not implemented NOx emission controls; exceptions occurred in the immediate vicinity of major point sources where increased NO titration tends to lower ozone levels. 13 refs., 8 figs., 2 tabs.

  7. Building technologies

    SciTech Connect (OSTI)

    Jackson, Roderick

    2014-07-14

    After growing up on construction sites, Roderick Jackson is now helping to make buildings nationwide far more energy efficient.

  8. Building technologies

    ScienceCinema (OSTI)

    Jackson, Roderick

    2014-07-15

    After growing up on construction sites, Roderick Jackson is now helping to make buildings nationwide far more energy efficient.

  9. Electric Power annual 1996: Volume II

    SciTech Connect (OSTI)

    1997-12-01

    This document presents a summary of electric power industry statistics. Data are included on electric utility retail sales of electricity, revenues, environmental information, power transactions, emissions, and demand-side management.

  10. Beardmore Building

    High Performance Buildings Database

    Priest River, ID Originally built in 1922 by Charles Beardmore, the building housed offices, mercantile shops, a ballroom and a theater. After decades of neglect under outside ownership, Brian Runberg, an architect and great-grandson of Charles Beardmore, purchased the building in 2006 and began an extensive whole building historic restoration.

  11. BEETIT: Building Cooling and Air Conditioning

    SciTech Connect (OSTI)

    None

    2010-09-01

    BEETIT Project: The 14 projects that comprise ARPA-Es BEETIT Project, short for Building Energy Efficiency Through Innovative Thermodevices, are developing new approaches and technologies for building cooling equipment and air conditioners. These projects aim to drastically improve building energy efficiency and reduce greenhouse gas emissions such as carbon dioxide (CO2) at a cost comparable to current technologies.

  12. About Buildings-to-Grid Integration | Department of Energy

    Office of Environmental Management (EM)

    Emerging Technologies » Buildings-to-Grid » About Buildings-to-Grid Integration About Buildings-to-Grid Integration As electricity demand continues to increase, integrating buildings and the electricity grid is a key step to increasing energy efficiency. Intermittent and variable generation sources, such as photovoltaic systems, as well as new load sources, such as electric vehicles, are being installed on the grid in increasing numbers and at more distributed locations. At the same time,

  13. Building Energy Efficiency in India: Compliance Evaluation of Energy Conservation Building Code

    SciTech Connect (OSTI)

    Yu, Sha; Evans, Meredydd; Delgado, Alison

    2014-03-26

    India is experiencing unprecedented construction boom. The country doubled its floorspace between 2001 and 2005 and is expected to add 35 billion m2 of new buildings by 2050. Buildings account for 35% of total final energy consumption in India today, and building energy use is growing at 8% annually. Studies have shown that carbon policies will have little effect on reducing building energy demand. Chaturvedi et al. predicted that, if there is no specific sectoral policies to curb building energy use, final energy demand of the Indian building sector will grow over five times by the end of this century, driven by rapid income and population growth. The growing energy demand in buildings is accompanied by a transition from traditional biomass to commercial fuels, particularly an increase in electricity use. This also leads to a rapid increase in carbon emissions and aggravates power shortage in India. Growth in building energy use poses challenges to the Indian government. To curb energy consumption in buildings, the Indian government issued the Energy Conservation Building Code (ECBC) in 2007, which applies to commercial buildings with a connected load of 100 kW or 120kVA. It is predicted that the implementation of ECBC can help save 25-40% of energy, compared to reference buildings without energy-efficiency measures. However, the impact of ECBC depends on the effectiveness of its enforcement and compliance. Currently, the majority of buildings in India are not ECBC-compliant. The United Nations Development Programme projected that code compliance in India would reach 35% by 2015 and 64% by 2017. Whether the projected targets can be achieved depends on how the code enforcement system is designed and implemented. Although the development of ECBC lies in the hands of the national government the Bureau of Energy Efficiency under the Ministry of Power, the adoption and implementation of ECBC largely relies on state and local governments. Six years after ECBCs enactment, only two states and one territory out of 35 Indian states and union territories formally adopted ECBC and six additional states are in the legislative process of approving ECBC. There are several barriers that slow down the process. First, stakeholders, such as architects, developers, and state and local governments, lack awareness of building energy efficiency, and do not have enough capacity and resources to implement ECBC. Second, institution for implementing ECBC is not set up yet; ECBC is not included in local building by-laws or incorporated into the building permit process. Third, there is not a systematic approach to measuring and verifying compliance and energy savings, and thus the market does not have enough confidence in ECBC. Energy codes achieve energy savings only when projects comply with codes, yet only few countries measure compliance consistently and periodic checks often indicate poor compliance in many jurisdictions. China and the U.S. appear to be two countries with comprehensive systems in code enforcement and compliance The United States recently developed methodologies measuring compliance with building energy codes at the state level. China has an annual survey investigating code compliance rate at the design and construction stages in major cities. Like many developing countries, India has only recently begun implementing an energy code and would benefit from international experience on code compliance. In this paper, we examine lessons learned from the U.S. and China on compliance assessment and how India can apply these lessons to develop its own compliance evaluation approach. This paper also provides policy suggestions to national, state, and local governments to improve compliance and speed up ECBC implementation.

  14. Electric Metering | Department of Energy

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

    Electric Metering Electric Metering Saving Money by Saving Energy The Department of Energy has installed meters in the James Forrestal Building that will enable DOE to measure electricity use and costs in its headquarters facility. You may explore this data further by visiting our Forrestal Metering Dashboard at the following website: http://forrestal.nrel.gov The Forrestal electric meters provide daily read-outs and comparison of data on electricity consumption for overhead lighting and power

  15. Buildings-to-Grid Integration | Department of Energy

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

    Buildings-to-Grid Integration Buildings-to-Grid Integration Integrating buildings and the grid increases energy efficiency, supports incorporation of renewable energy, and balances new loads, such as electric vehicles. Integrating buildings and the grid increases energy efficiency, supports incorporation of renewable energy, and balances new loads, such as electric vehicles. The U.S. Department of Energy's Building Technologies Office is coordinating strategies and activities with stakeholders

  16. Table 11.5a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas)

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

    a Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Total (All Sectors), 1989-2010 (Sum of Tables 11.5b and 11.5c; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total 1989 1,573,566,415 218,383,703 145,398,976 363,247 5,590,014 1,943,302,355 14,468,564 1,059 984,406

  17. Table 11.5c Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Commercial and Industrial Sectors, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas)

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

    c Emissions From Energy Consumption for Electricity Generation and Useful Thermal Output: Commercial and Industrial Sectors, 1989-2010 (Subset of Table 11.5a; Metric Tons of Gas) Year Carbon Dioxide 1 Sulfur Dioxide Nitrogen Oxides Coal 2 Natural Gas 3 Petroleum 4 Geo- thermal 5 Non- Biomass Waste 6 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Coal 2 Natural Gas 3 Petroleum 4 Other 7 Total Commercial Sector 8<//td> 1989 2,319,630 1,542,083 637,423 [ –] 803,754 5,302,890 37,398 4

  18. Energy 101: Electric Vehicles

    ScienceCinema (OSTI)

    None

    2013-05-29

    This edition of Energy 101 highlights the benefits of electric vehicles, including improved fuel efficiency, reduced emissions, and lower maintenance costs. For more information on electric vehicles from the Office of Energy Efficiency and Renewable Energy, visit the Vehicle Technologies Program website: http://www1.eere.energy.gov/vehiclesandfuels/

  19. Life-Cycle Evaluation of Concrete Building Construction as a Strategy for Sustainable Cities

    SciTech Connect (OSTI)

    Stadel, Alexander; Gursel, Petek; Masanet, Eric

    2012-01-18

    Structural materials in commercial buildings in the United States account for a significant fraction of national energy use, resource consumption, and greenhouse gas (GHG) emissions. Robust decisions for balancing and minimizing these various environmental effects require that structural materials selections follow a life-cycle, systems modeling approach. This report provides a concise overview of the development and use of a new life-cycle assessment (LCA) model for structural materials in U.S. commercial buildings-the Berkeley Lab Building Materials Pathways (B-PATH) model. B-PATH aims to enhance environmental decision-making in the commercial building LCA, design, and planning communities through the following key features: (1) Modeling of discrete technology options in the production, transportation, construction, and end of life processes associated U.S. structural building materials; (2) Modeling of energy supply options for electricity provision and directly combusted fuels across the building life cycle; (3) Comprehensiveness of relevant building mass and energy flows and environmental indicators; (4) Ability to estimate modeling uncertainties through easy creation of different life-cycle technology and energy supply pathways for structural materials; and (5) Encapsulation of the above features in a transparent public use model. The report summarizes literature review findings, methods development, model use, and recommendations for future work in the area of LCA for commercial buildings.

  20. Better Buildings for a Brighter Future

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

    "Block by block, neighborhood by neighborhood, we will make our communities more energy efficient and help families save money." Dr. Steven Chu, Secretary, U.S. Energy Department Better Buildings for a Better Future Homes and commercial buildings consume 40% of our energy in the United States and are responsible for nearly 40% of the country's greenhouse gas emissions. The Better Buildings Neighborhood Program helps consumers and building owners use energy more efficiently to better

  1. Building Efficiency Report | Department of Energy

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

    Building Efficiency Report Building Efficiency Report Buildings use 40% of total energy in the United States - more than either the industrial or transportation sectors. Technical improvements and cost reductions (see Appendix 3) in building materials, components and energy management systems are enabling progress in reducing the nation's energy consumption and consequent greenhouse gas emissions with payback periods as low as 24 months. With responsibility and funding for the nation's largest

  2. Vacant Buildings

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

    Vacant Characteristics by Activity... Vacant Vacant buildings are those in which more floorspace was vacant than was used for any single commercial activity at the time of the...

  3. Service Buildings

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

    Service Characteristics by Activity... Service Service buildings are those in which some type of service is provided, other than food service or retail sales of goods. Basic...

  4. Other Buildings

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

    Other Characteristics by Activity... Other Other buildings are those that do not fit into any of the specifically named categories. Basic Characteristics See also: Equipment |...

  5. Buildings Database

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

    Energy Efficiency & Renewable Energy EERE Home | Programs & Offices | Consumer Information Buildings Database Welcome Guest Log In | Register | Contact Us Home About All Projects...

  6. Fuel Mix and Emissions Disclosure | Department of Energy

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

    customers the fuel mix of its electricity production and the associated sulfur dioxide, nitrogen oxide, and carbon dioxide emissions emissions, expressed in pounds per 1000...

  7. Monitoring and Characterization of Miscellaneous Electrical Loads in a Large Retail Environment

    SciTech Connect (OSTI)

    Gentile-Polese, L.; Frank, S.; Sheppy, M.; Lobato, C.; Rader, E.; Smith, J.; Long, N.

    2014-02-01

    Buildings account for 40% of primary energy consumption in the United States (residential 22%; commercial 18%). Most (70% residential and 79% commercial) is used as electricity. Thus, almost 30% of U.S. primary energy is used to provide electricity to buildings. Plug loads play an increasingly critical role in reducing energy use in new buildings (because of their increased efficiency requirements), and in existing buildings (as a significant energy savings opportunity). If all installed commercial building miscellaneous electrical loads (CMELs) were replaced with energy-efficient equipment, a potential annual energy saving of 175 TWh, or 35% of the 504 TWh annual energy use devoted to MELs, could be achieved. This energy saving is equivalent to the annual energy production of 14 average-sized nuclear power plants. To meet DOE's long-term goals of reducing commercial building energy use and carbon emissions, the energy efficiency community must better understand the components and drivers of CMEL energy use, and develop effective reduction strategies. These goals can be facilitated through improved data collection and monitoring methodologies, and evaluation of CMELs energy-saving techniques.

  8. Renewable Energy Applications for Existing Buildings: Preprint

    SciTech Connect (OSTI)

    Hayter, S. J.; Kandt, A.

    2011-08-01

    This paper introduces technical opportunities, means, and methods for incorporating renewable energy (RE) technologies into building designs and operations. It provides an overview of RE resources and available technologies used successfully to offset building electrical and thermal energy loads. Methods for applying these technologies in buildings and the role of building energy efficiency in successful RE projects are addressed along with tips for implementing successful RE projects.

  9. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (Japanese translation)

    SciTech Connect (OSTI)

    Zhou, Nan; Marnay, Chris; Firestone, Ryan; Gao, Weijun; Nishida, Masaru

    2004-10-15

    The August 2003 blackout of the northeastern U.S. and CANADA caused great economic losses and inconvenience to New York City and other affected areas. The blackout was a warning to the rest of the world that the ability of conventional power systems to meet growing electricity demand is questionable. Failure of large power systems can lead to serious emergencies. Introduction of on-site generation, renewable energy such as solar and wind power and the effective utilization of exhaust heat is needed, to meet the growing energy demands of the residential and commercial sectors. Additional benefit can be achieved by integrating these distributed technologies into distributed energy resource (DER) systems. This work demonstrates a method for choosing and designing economically optimal DER systems. An additional purpose of this research is to establish a database of energy tariffs, DER technology cost and performance characteristics, and building energy consumption for Japan. This research builds on prior DER studies at the Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) and with their associates in the Consortium for Electric Reliability Technology Solutions (CERTS) and operation, including the development of the microgrid concept, and the DER selection optimization program, the Distributed Energy Resources Customer Adoption Model (DER-CAM). DER-CAM is a tool designed to find the optimal combination of installed equipment and an idealized operating schedule to minimize a site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a test period, usually an historic year. Since hourly electric and thermal energy data are rarely available, they are typically developed by building simulation for each of six end use loads used to model the building: electric-only loads, space heating, space cooling, refrigeration, water heating, and natural-gas-only loads. DER-CAM provides a global optimization, albeit idealized, that shows how the necessary useful energy loads can be provided for at minimum cost by selection and operation of on-site generation, heat recovery, cooling, and efficiency improvements. This study examines five prototype commercial buildings and uses DER-CAM to select the economically optimal DER system for each. The five building types are office, hospital, hotel, retail, and sports facility. Each building type was considered for both 5,000 and 10,000 square meter floor sizes. The energy consumption of these building types is based on building energy simulation and published literature. Based on the optimization results, energy conservation and the emissions reduction were also evaluated. Furthermore, a comparison study between Japan and the U.S. has been conducted covering the policy, technology and the utility tariffs effects on DER systems installations.

  10. Fuel Mix and Emissions Disclosure | Department of Energy

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

    restructuring legislation, Illinois established provisions for the disclosure of fuel mix and emissions data. All electric utilities and alternative retail electric...

  11. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    9 Average Carbon Dioxide Emissions from a Generic Quad in the Buildings Sector with Stock Fuel Mix and Projected Fuel Mix of New Marginal Utility Capacity and Site Energy Consumption (Million Metric Tons) (1) Resid. Comm. Bldgs. Electricity (2) 39.81 44.10 41.75 Petroleum 3.78 2.81 3.34 Natural Gas 12.17 9.55 10.98 Renew. En. (3) 0.00 0.00 0.00 Coal 0.03 0.30 0.15 Total 55.79 56.77 56.23 Note(s): Source(s): Stock 2010 1) Electricity imports from utility consumption were not included since this

  12. Synthesis of crystalline carbon nanofern-like structure by dc-PECVD and study of its electrical and field emission properties

    SciTech Connect (OSTI)

    Banerjee, D.; Chattopadhyay, K.K.

    2012-11-15

    Graphical abstract: Display Omitted Highlights: ? Branched, carbon nanofern like structure have been synthesized on glass substrate via PECVD. ? Ni catalyst played important role in growing such structure. ? The as prepared sample shows good field emission property with turn on field as low as 4.8 V/mm. ? Temperature dependent conductivity of the sample showed non-linearity. -- Abstract: Carbon nanofern-like structure was synthesized by direct current plasma enhanced chemical vapor deposition at 400 C using acetylene as carbon precursor and nickel particle as seed. High resolution transmission electron microscopy (HRTEM) study confirmed the fern-like structure of the as-synthesized sample. It was seen that when nickel was not used a cluster deposition took place without forming any structure. Atomic force microscopy study showed the surface topology of the as-prepared samples. X-ray photoelectron spectroscopy as well as HRTEM studies confirmed the presence of nickel in the carbon matrix. Current (I)voltage (V) characteristics have been taken for three different temperatures. A non-linear IV characteristic was obtained for the fern like sample. Field emission study showed that carbon nanofern showed efficient field emission with a turn-on field as low as 4.8 V/?m. Also, the field emission has been studied for different inter-electrode distances.

  13. Overview BETTER BUILDINGS, BETTER PLANTS

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

    BETTER BUILDINGS, BETTER PLANTS Learn more at energy.gov/eere/amo/better-plants Better Plants Program The U.S. Department of Energy's (DOE's) Better Buildings, Better Plants Program is a voluntary partnership initiative to drive significant energy efficiency improvement across U.S. industry. 151 leading manufacturers are partnering with DOE through Better Plants to improve efficiency, slash carbon emissions, and cut energy costs. Partner Benefits Manufacturers in the Better Plants Program set

  14. Building America: Making Real Progress

    Energy Savers [EERE]

    America: Making Real Progress for U.S. Homes The U.S. Department of Energy (DOE) Building America Program conducts innovative housing research on energy efficiency to benefit the residential building industry and the public. The program has produced more than 100 innovations and accel- erated the adoption of energy-saving technologies. Since 1995, this work has helped households across the nation save up to $54 billion and avoid the emissions of 500 million tons of carbon dioxide. DOE esti-

  15. Regional Analysis of Building Distributed Energy Costs and CO2 Abatement: A U.S. - China Comparison

    SciTech Connect (OSTI)

    Mendes, Goncalo; Feng, Wei; Stadler, Michael; Steinbach, Jan; Lai, Judy; Zhou, Nan; Marnay, Chris; Ding, Yan; Zhao, Jing; Tian, Zhe; Zhu, Neng

    2014-04-09

    The following paper conducts a regional analysis of the U.S. and Chinese buildings? potential for adopting Distributed Energy Resources (DER). The expected economics of DER in 2020-2025 is modeled for a commercial and a multi-family residential building in different climate zones. The optimal building energy economic performance is calculated using the Distributed Energy Resources Customer Adoption Model (DER CAM) which minimizes building energy costs for a typical reference year of operation. Several DER such as combined heat and power (CHP) units, photovoltaics, and battery storage are considered. The results indicate DER have economic and environmental competitiveness potential, especially for commercial buildings in hot and cold climates of both countries. In the U.S., the average expected energy cost savings in commercial buildings from DER CAM?s suggested investments is 17percent, while in Chinese buildings is 12percent. The electricity tariffs structure and prices along with the cost of natural gas, represent important factors in determining adoption of DER, more so than climate. High energy pricing spark spreads lead to increased economic attractiveness of DER. The average emissions reduction in commercial buildings is 19percent in the U.S. as a result of significant investments in PV, whereas in China, it is 20percent and driven by investments in CHP. Keywords: Building Modeling and Simulation, Distributed Energy Resources (DER), Energy Efficiency, Combined Heat and Power (CHP), CO2 emissions 1. Introduction The transition from a centralized and fossil-based energy paradigm towards the decentralization of energy supply and distribution has been a major subject of research over the past two decades. Various concerns have brought the traditional model into question; namely its environmental footprint, its structural inflexibility and inefficiency, and more recently, its inability to maintain acceptable reliability of supply. Under such a troubled setting, distributed energy resources (DER) comprising of small, modular, electrical renewable or fossil-based electricity generation units placed at or near the point of energy consumption, has gained much attention as a viable alternative or addition to the current energy system. In 2010, China consumed about 30percent of its primary energy in the buildings sector, leading the country to pay great attention to DER development and its applications in buildings. During the 11th Five Year Plan (FYP), China has implemented 371 renewable energy building demonstration projects, and 210 photovoltaics (PV) building integration projects. At the end of the 12th FYP, China is targeting renewable energy to provide 10percent of total building energy, and to save 30 metric tons of CO2 equivalents (mtce) of energy with building integrated renewables. China is also planning to implement one thousand natural gas-based distributed cogeneration demonstration projects with energy utilization rates over 70percent in the 12th FYP. All these policy targets require significant DER systems development for building applications. China?s fast urbanization makes building energy efficiency a crucial economic issue; however, only limited studies have been done that examine how to design and select suitable building energy technologies in its different regions. In the U.S., buildings consumed 40percent of the total primary energy in 2010 [1] and it is estimated that about 14 billion m2 of floor space of the existing building stock will be remodeled over the next 30 years. Most building?s renovation work has been on building envelope, lighting and HVAC systems. Although interest has emerged, less attention is being paid to DER for buildings. This context has created opportunities for research, development and progressive deployment of DER, due to its potential to combine the production of power and heat (CHP) near the point of consumption and delivering multiple benefits to customers, such as cost

  16. Global warming implications of facade parameters: A life cycle assessment of residential buildings in Bahrain

    SciTech Connect (OSTI)

    Radhi, Hassan; Sharples, Stephen

    2013-01-15

    On a global scale, the Gulf Corporation Council Countries (GCCC), including Bahrain, are amongst the top countries in terms of carbon dioxide emissions per capita. Building authority in Bahrain has set a target of 40% reduction of electricity consumption and associated CO{sub 2} emissions to be achieved by using facade parameters. This work evaluates how the life cycle CO{sub 2} emissions of buildings are affected by facade parameters. The main focus is placed on direct and indirect CO{sub 2} emissions from three contributors, namely, chemical reactions during production processes (Pco{sub 2}), embodied energy (Eco{sub 2}) and operational energy (OPco{sub 2}). By means of the life cycle assessment (LCA) methodology, it has been possible to show that the greatest environmental impact occurs during the operational phase (80-90%). However, embodied CO{sub 2} emissions are an important factor that needs to be brought into the systems used for appraisal of projects, and hence into the design decisions made in developing projects. The assessment shows that masonry blocks are responsible for 70-90% of the total CO{sub 2} emissions of facade construction, mainly due to their physical characteristics. The highest Pco{sub 2} emissions factors are those of window elements, particularly aluminium frames. However, their contribution of CO{sub 2} emissions depends largely on the number and size of windows. Each square metre of glazing is able to increase the total CO{sub 2} emissions by almost 30% when compared with the same areas of opaque walls. The use of autoclaved aerated concrete (AAC) walls reduces the total life cycle CO{sub 2} emissions by almost 5.2% when compared with ordinary walls, while the use of thermal insulation with concrete wall reduces CO{sub 2} emissions by 1.2%. The outcome of this work offers to the building industry a reliable indicator of the environmental impact of residential facade parameters. - Highlights: Black-Right-Pointing-Pointer Life cycle carbon assessment of facade parameters. Black-Right-Pointing-Pointer Greatest environmental impact occurs during the operational phase. Black-Right-Pointing-Pointer Masonry blocks are responsible for 70-90% of the total CO2 emissions of facade construction. Black-Right-Pointing-Pointer Window contribution of CO2 emissions depends on the number and size of windows. Black-Right-Pointing-Pointer Without insulation, AAC walls offer more savings in CO2 emissions.

  17. Building Interoperability

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

    Page 3 20XX-XX-XX Market Place Needs - Data Fatigue Carbon Emissions Alternative Energy Demand Response Distributed Power IAQ Personal UI Mobile Cloud IT Convergence Charging...

  18. Assessment of Distributed Generation Potential in JapaneseBuildings

    SciTech Connect (OSTI)

    Zhou, Nan; Marnay, Chris; Firestone, Ryan; Gao, Weijun; Nishida,Masaru

    2005-05-25

    To meet growing energy demands, energy efficiency, renewable energy, and on-site generation coupled with effective utilization of exhaust heat will all be required. Additional benefit can be achieved by integrating these distributed technologies into distributed energy resource (DER) systems (or microgrids). This research investigates a method of choosing economically optimal DER, expanding on prior studies at the Berkeley Lab using the DER design optimization program, the Distributed Energy Resources Customer Adoption Model (DER-CAM). DER-CAM finds the optimal combination of installed equipment from available DER technologies, given prevailing utility tariffs, site electrical and thermal loads, and a menu of available equipment. It provides a global optimization, albeit idealized, that shows how the site energy loads can be served at minimum cost by selection and operation of on-site generation, heat recovery, and cooling. Five prototype Japanese commercial buildings are examined and DER-CAM applied to select the economically optimal DER system for each. The five building types are office, hospital, hotel, retail, and sports facility. Based on the optimization results, energy and emission reductions are evaluated. Furthermore, a Japan-U.S. comparison study of policy, technology, and utility tariffs relevant to DER installation is presented. Significant decreases in fuel consumption, carbon emissions, and energy costs were seen in the DER-CAM results. Savings were most noticeable in the sports facility (a very favourable CHP site), followed by the hospital, hotel, and office building.

  19. INL High Performance Building Strategy

    SciTech Connect (OSTI)

    Jennifer D. Morton

    2010-02-01

    High performance buildings, also known as sustainable buildings and green buildings, are resource efficient structures that minimize the impact on the environment by using less energy and water, reduce solid waste and pollutants, and limit the depletion of natural resources while also providing a thermally and visually comfortable working environment that increases productivity for building occupants. As Idaho National Laboratory (INL) becomes the nations premier nuclear energy research laboratory, the physical infrastructure will be established to help accomplish this mission. This infrastructure, particularly the buildings, should incorporate high performance sustainable design features in order to be environmentally responsible and reflect an image of progressiveness and innovation to the public and prospective employees. Additionally, INL is a large consumer of energy that contributes to both carbon emissions and resource inefficiency. In the current climate of rising energy prices and political pressure for carbon reduction, this guide will help new construction project teams to design facilities that are sustainable and reduce energy costs, thereby reducing carbon emissions. With these concerns in mind, the recommendations described in the INL High Performance Building Strategy (previously called the INL Green Building Strategy) are intended to form the INL foundation for high performance building standards. This revised strategy incorporates the latest federal and DOE orders (Executive Order [EO] 13514, Federal Leadership in Environmental, Energy, and Economic Performance [2009], EO 13423, Strengthening Federal Environmental, Energy, and Transportation Management [2007], and DOE Order 430.2B, Departmental Energy, Renewable Energy, and Transportation Management [2008]), the latest guidelines, trends, and observations in high performance building construction, and the latest changes to the Leadership in Energy and Environmental Design (LEED) Green Building Rating System (LEED 2009). The document employs a two-level approach for high performance building at INL. The first level identifies the requirements of the Guiding Principles for Sustainable New Construction and Major Renovations, and the second level recommends which credits should be met when LEED Gold certification is required.

  20. Environmental Assessment of Plug-In Hybrid Electric Vehicles...

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

    Environmental Assessment of Plug-In Hybrid Electric Vehicles Volume 1: Nationwide Greenhouse Gas Emissions Environmental Assessment of Plug-In Hybrid Electric Vehicles Volume 1: ...

  1. Generators for Small Electrical and Thermal Systems

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

    build and test improved electric-power generators for use in residential Combined Heat and Power (CHP) systems, which capture the generator's heat output for space and water...

  2. Energy Department - Electric Power Research Institute Cooperation...

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

    such as carbon dioxide, reductions resulting from these efforts; promotion of digital communication between the electric grid and buildings; testing to develop digital devices ...

  3. Energy Saving Homes and Buildings, Continuum Magazine, Spring 2014 / Issue 6 (Book)

    SciTech Connect (OSTI)

    Not Available

    2014-03-01

    This issue of Continuum focuses on NREL's research to improve the energy efficiency of residential and commercial buildings. Heating, cooling, and lighting our homes and commercial structures account for more than 70% of all electricity used in the United States. That costs homeowners, businesses, and government agencies more than $400 billion annually, about 40% of our nation's total energy costs. Producing that energy contributes almost 40% of our nation's carbon dioxide emissions.By 2030, an estimated 900 billion square feet of new and rebuilt construction will be developed worldwide, providing an unprecedented opportunity to create efficient, sustainable buildings. Increasing the energy performance of our homes alone could potentially eliminate up to 160 million tons of greenhouse gas emissions and lower residential energy bills by $21 billion annually by the end of the decade.

  4. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    4 FY 2007 Federal Buildings Energy Prices and Expenditures, by Fuel Type ($2010) Fuel Type Electricity (1) Natural Gas Fuel Oil Coal Purchased Steam LPG/Propane Other Average Total Note(s): Source(s): 17.05 6028.63 Prices and expenditures are for Goal-Subject buildings. 1) $0.0776/kWh. 2) Energy used in Goal-Subject buildings in FY 2007 accounted for 33.8% of the total Federal energy bill. DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table A-4, p. 93 for prices and

  5. Building Science

    Broader source: Energy.gov [DOE]

    This presentation was given at the Summer 2012 DOE Building America meeting on July 25, 2012, and addressed the question How do we first do no harm with high-r enclosures?Ž

  6. Lodging Buildings

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

    were then asked to place the building into the following more specific categories: a hotel a motel, inn, or resort a retirement home a shelter, orphanage, or children's home a...

  7. Office Buildings

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

    page, please call 202-586-8800. There were enough buildings in the responding sample to report statistics for all of these types except for research and development, which has...

  8. Making America's Buildings Better (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    This fact sheet is an overview of the U.S. Department of Energy's Building Technologies program. Buildings use more energy than any other sector of the U.S. economy? In fact, buildings consume more than 70% of the electricity and more than 50% of the natural gas Americans use. That's why the U.S. Department of Energy's (DOE's) Building Technologies Program (BTP) is working to improve building energy performance through high-impact research, out-reach, and regulatory efforts. These efforts will result in affordable, high-performance homes and commercial buildings. These grid-connected buildings will be more energy efficient than today's typical buildings, with renewable energy providing a portion of the power needs. They will combine energy-smart 'whole building' design and construction, appliances and equipment that minimize plug loads, and cost-effective photovoltaics or other on-site energy systems.

  9. Capacity Building on Sustainable Urban Transport (CAPSUT) | Open...

    Open Energy Info (EERE)

    from the LEDS Global Partnership. When to Use This Tool While building a low emission strategy for your country's transportation system, this tool is most useful during these...

  10. Building America Residential Buildings Energy Efficiency Meeting...

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

    Buildings Energy Efficiency Meeting: July 2010 Building America Residential Buildings ... More Documents & Publications Summary of Gaps and Barriers for Implementing Residential ...

  11. Building America Expert Meeting: Transforming Existing Buildings...

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

    Transforming Existing Buildings through New Media--An Idea Exchange Building America Expert Meeting: Transforming Existing Buildings through New Media--An Idea Exchange This report...

  12. City of Asheville- Efficiency Standards for City Buildings

    Broader source: Energy.gov [DOE]

    In April 2007, the Asheville City Council adopted carbon emission reduction goals and set LEED standards for new city buildings. The council committed to reducing carbon emissions by 2% per year...

  13. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01

    U.S. and China are the worlds top two economics. Together they consumed one-third of the worlds primary energy. It is an unprecedented opportunity and challenge for governments, researchers and industries in both countries to join together to address energy issues and global climate change. Such joint collaboration has huge potential in creating new jobs in energy technologies and services. Buildings in the US and China consumed about 40% and 25% of the primary energy in both countries in 2010 respectively. Worldwide, the building sector is the largest contributor to the greenhouse gas emission. Better understanding and improving the energy performance of buildings is a critical step towards sustainable development and mitigation of global climate change. This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  14. New Jersey SmartStart Buildings- New Construction and Retrofits

    Broader source: Energy.gov [DOE]

    New Jersey SmartStart Buildings is a program sponsored by the New Jersey Board of Public Utilities in partnership with New Jersey’s gas and electric utilities. New Jersey SmartStart Buildings rec...

  15. Commercial Building Energy Efficiency Education Project

    SciTech Connect (OSTI)

    2013-01-13

    The primary objective of this grant is to educate the public about carbon emissions and the energy-saving and job-related benefits of commercial building energy efficiency. investments in Illinois.

  16. Apparatus and procedure to characterize the surface quality of conductors by measuring the rate of cathode emission as a function of surface electric field strength

    DOE Patents [OSTI]

    Mestayer, Mac; Christo, Steve; Taylor, Mark

    2014-10-21

    A device and method for characterizing quality of a conducting surface. The device including a gaseous ionizing chamber having centrally located inside the chamber a conducting sample to be tested to which a negative potential is applied, a plurality of anode or "sense" wires spaced regularly about the central test wire, a plurality of "field wires" at a negative potential are spaced regularly around the sense, and a plurality of "guard wires" at a positive potential are spaced regularly around the field wires in the chamber. The method utilizing the device to measure emission currents from the conductor.

  17. Archive Reference Buildings by Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  18. Future Sulfur Dioxide Emissions

    SciTech Connect (OSTI)

    Smith, Steven J.; Pitcher, Hugh M.; Wigley, Tom M.

    2005-12-01

    The importance of sulfur dioxide emissions for climate change is now established, although substantial uncertainties remain. This paper presents projections for future sulfur dioxide emissions using the MiniCAM integrated assessment model. A new income-based parameterization for future sulfur dioxide emissions controls is developed based on purchasing power parity (PPP) income estimates and historical trends related to the implementation of sulfur emissions limitations. This parameterization is then used to produce sulfur dioxide emissions trajectories for the set of scenarios developed for the Special Report on Emission Scenarios (SRES). We use the SRES methodology to produce harmonized SRES scenarios using the latest version of the MiniCAM model. The implications, and requirements, for IA modeling of sulfur dioxide emissions are discussed. We find that sulfur emissions eventually decline over the next century under a wide set of assumptions. These emission reductions result from a combination of emission controls, the adoption of advanced electric technologies, and a shift away from the direct end use of coal with increasing income levels. Only under a scenario where incomes in developing regions increase slowly do global emission levels remain at close to present levels over the next century. Under a climate policy that limits emissions of carbon dioxide, sulfur dioxide emissions fall in a relatively narrow range. In all cases, the relative climatic effect of sulfur dioxide emissions decreases dramatically to a point where sulfur dioxide is only a minor component of climate forcing by the end of the century. Ecological effects of sulfur dioxide, however, could be significant in some developing regions for many decades to come.

  19. Photovoltaics for Buildings: New Applications and Lessons Learned: Preprint

    SciTech Connect (OSTI)

    Hayter, S.; Torcellini, P.; Deru, M.

    2002-07-01

    Photovoltaics (PV) for buildings system applications are experiencing exponential growth. This increased activity is the result of building owners becoming more confident with this new technology, designers becoming more comfortable incorporating PV into architectural and building electrical designs, decreasing PV system cost, the heightened public awareness of depleting conventional energy resources, and issues related to power reliability and stability. Usually, these systems meet primary objectives to offset building electrical loads, decrease building electrical demand, or provide continuous power supply during utility grid outages; but because of design flaws, installation errors, or improper maintenance, these systems can perform below the design expectations.

  20. Obama Administration Announces New Partners Join the Better Buildings...

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

    Utility partner Pacific Gas and Electric (PG&E) has also committed to offering expanded energy efficiency ... "By joining President Obama's Better Buildings Initiative, these ...

  1. Bill Robinson (Train2Build) | Open Energy Information

    Open Energy Info (EERE)

    Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

  2. Buildings Residential Network Peer Exchange Call Series: Capitalizing...

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

    ... Better Buildings Residential Network Commitment: Provide DOE ... separately from housing unit operations - every saved on ... - no dump fees and electricity generation: win-win ...

  3. Building technologies program. 1995 annual report

    SciTech Connect (OSTI)

    Selkowitz, S.E.

    1996-05-01

    The 1995 annual report discusses laboratory activities in the Building Technology Program. The report is divided into four categories: windows and daylighting, lighting systems, building energy simulation, and advanced building systems. The objective of the Building Technologies program is to assist the U.S. building industry in achieving substantial reductions in building-sector energy use and associated greenhouse gas emissions while improving comfort, amenity, health, and productivity in the building sector. Past efforts have focused on windows and lighting, and on the simulation tools needed to integrate the full range of energy efficiency solutions into achievable, cost-effective design solutions for new and existing buildings. Current research is based on an integrated systems and life-cycle perspective to create cost-effective solutions for more energy-efficient, comfortable, and productive work and living environments. Sixteen subprograms are described in the report.

  4. Augmented Reality Building Operations Tool - Energy Innovation...

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

    to the Department of Energy, buildings use 39% of our total energy, two-thirds of our electricity, and one-eighth of our water. As a result of these fundamental environmental...

  5. EV Everywhere: Reducing Pollution with Electric Vehicles | Department of

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

    Energy Benefits of Electric Vehicles » EV Everywhere: Reducing Pollution with Electric Vehicles EV Everywhere: Reducing Pollution with Electric Vehicles Plug-in electric vehicles (also known as electric cars or EVs) can help keep your town and your world clean. In general, EVs produce fewer emissions that contribute to climate change and smog than conventional vehicles. There are two general categories of vehicle emissions: direct and life cycle. Direct emissions are emitted through the

  6. Buildings Energy Data Book

    Buildings Energy Data Book [EERE]

    3.1 Commercial Sector Energy Consumption 3.2 Commercial Sector Characteristics 3.3 Commercial Sector Expenditures 3.4 Commercial Environmental Emissions 3.5 Commercial Builders and Construction 3.6 Office Building Markets and Companies 3.7 Retail Markets and Companies 3.8 Hospitals and Medical Facilities 3.9 Educational Facilities 3.10 Hotels/Motels 4Federal Sector 5Envelope and Equipment 6Energy Supply 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and

  7. Commercial Building Partnership

    Broader source: Energy.gov [DOE]

    Commercial Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review

  8. Energy Efficient Buildings Hub

    SciTech Connect (OSTI)

    2013-04-01

    Energy Efficient Buildings HUB Lunch Presentation for the 2013 Building Technologies Office's Program Peer Review

  9. Energy Efficient Buildings Hub

    Broader source: Energy.gov [DOE]

    Energy Efficient Buildings HUB Lunch Presentation for the 2013 Building Technologies Office's Program Peer Review

  10. Building America System Research

    Broader source: Energy.gov [DOE]

    Residential Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review

  11. Building Technologies Office Overview

    SciTech Connect (OSTI)

    2013-04-01

    Building Technologies Office Overview Presentation for the 2013 Building Technologies Office's Program Peer Review

  12. Residential Buildings Integration Program

    Broader source: Energy.gov [DOE]

    Residential Buildings Integration Program Presentation for the 2013 Building Technologies Office's Program Peer Review

  13. Building America System Research

    SciTech Connect (OSTI)

    2013-04-01

    Residential Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review

  14. Energy 101: Electric Vehicles | Department of Energy

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

    Electric Vehicles Energy 101: Electric Vehicles Addthis Description This edition of Energy 101 highlights the benefits of electric vehicles, including improved fuel efficiency, reduced emissions, and lower maintenance costs. Text Version Below is the text version for the Energy 101: Electric Vehicles video. The video opens with "Energy 101: Electric Vehicles." This is followed by various shots of different electric vehicles on the road. Wouldn't it be pretty cool to do all of your

  15. Major Fuels","Site Electricity","Natural Gas","Fuel Oil","District...

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

    C1. Total Energy Consumption by Major Fuel, 1999" ,"All Buildings",,"Total Energy Consumption (trillion Btu)",,,,,"Primary Electricity (trillion Btu)" ,"Number of Buildings...

  16. Major Fuels","Electricity",,"Natural Gas","Fuel Oil","District

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

    of Buildings (thousand)","Floorspace (million square feet)","Sum of Major Fuels","Electricity",,"Natural Gas","Fuel Oil","District Heat" ,,,,"Primary","Site" "All Buildings...

  17. EV Everywhere: Electric Drive Systems Bring Power to Plug-in...

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

    the first time a domestic automaker is building electric motors for an electric vehicle ... electric drive system in a plug-in electric vehicle bridges two different types of energy. ...

  18. Metering in Federal Buildings | Department of Energy

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

    & Maintenance » Metering in Federal Buildings Metering in Federal Buildings The U.S. Department of Energy is required by the Energy Policy Act of 2005 and Executive Order 13693 to establish guidelines for agencies to meter their federal buildings for energy (electricity, natural gas, and steam) and water use. To help agencies meet these metering requirements, the Federal Energy Management Program (FEMP) provides guidance materials, an implementation plan template, and a best practices

  19. Buildings Energy Data Book: 5.4 Water Heaters

    Buildings Energy Data Book [EERE]

    4 Water Heater Stock for Commercial Buildings, By Fuel Type Fuel Type Electric 41% Natural Gas 31% Fuel Oil 2% Propane/LPG 3% District Heat 1% No Water Heating 25% Note(s): Souce(s): Percent of Buildings in 2003 (1) (1) Percentages add to 103% because some buildings use more than one fuel for water heating. EIA, 2003 Commercial Buildings Energy Consumption Survey: Buildings Characteristics, June 2006, Table B31, p. 175

  20. Integrated Energy Systems (IES) for Buildings: A Market Assessment

    SciTech Connect (OSTI)

    LeMar, P.

    2002-10-29

    Integrated Energy Systems (IES) combine on-site power or distributed generation technologies with thermally activated technologies to provide cooling, heating, humidity control, energy storage and/or other process functions using thermal energy normally wasted in the production of electricity/power. IES produce electricity and byproduct thermal energy onsite, with the potential of converting 80 percent or more of the fuel into useable energy. IES have the potential to offer the nation the benefits of unprecedented energy efficiency gains, consumer choice and energy security. It may also dramatically reduce industrial and commercial building sector carbon and air pollutant emissions and increase source energy efficiency. Applications of distributed energy and Combined heat and power (CHP) in ''Commercial and Institutional Buildings'' have, however, been historically limited due to insufficient use of byproduct thermal energy, particularly during summer months when heating is at a minimum. In recent years, custom engineered systems have evolved incorporating potentially high-value services from Thermally Activated Technologies (TAT) like cooling and humidity control. Such TAT equipment can be integrated into a CHP system to utilize the byproduct heat output effectively to provide absorption cooling or desiccant humidity control for the building during these summer months. IES can therefore expand the potential thermal energy services and thereby extend the conventional CHP market into building sector applications that could not be economically served by CHP alone. Now more than ever, these combined cooling, heating and humidity control systems (IES) can potentially decrease carbon and air pollutant emissions, while improving source energy efficiency in the buildings sector. Even with these improvements over conventional CHP systems, IES face significant technological and economic hurdles. Of crucial importance to the success of IES is the ability to treat the heating, ventilation, air conditioning, water heating, lighting, and power systems loads as parts of an integrated system, serving the majority of these loads either directly or indirectly from the CHP output. The CHP Technology Roadmaps (Buildings and Industry) have focused research and development on a comprehensive integration approach: component integration, equipment integration, packaged and modular system development, system integration with the grid, and system integration with building and process loads. This marked change in technology research and development has led to the creation of a new acronym to better reflect the nature of development in this important area of energy efficiency: Integrated Energy Systems (IES). Throughout this report, the terms ''CHP'' and ''IES'' will sometimes be used interchangeably, with CHP generally reserved for the electricity and heat generating technology subsystem portion of an IES. The focus of this study is to examine the potential for IES in buildings when the system perspective is taken, and the IES is employed as a dynamic system, not just as conventional CHP. This effort is designed to determine market potential by analyzing IES performance on an hour-by-hour basis, examining the full range of building types, their loads and timing, and assessing how these loads can be technically and economically met by IES.

  1. Buildings","Heated Buildings",,"Cooled Buildings",,"Lit Buildingsc...

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

    ... with Cooling ......",58474,56361,49482,58474,42420,57936,50055 "Buildings with Water Heating .",56115,54204,48070,52589,38844,55586,48125 "Buildings with Cooking ...

  2. EIA - State Electricity Profiles

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

    Alaska Electricity Profile 2013 Table 1. 2013 Summary statistics (Alaska) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 2,384 48 Electric utilities 2,205 39 IPP & CHP 179 50 Net generation (megawatthours) 6,496,822 49 Electric utilities 5,851,727 39 IPP & CHP 645,095 49 Emissions Sulfur dioxide (short tons) 4,202 43 Nitrogen oxide (short tons) 18,043 37 Carbon dioxide (thousand metric tons) 3,768 44 Sulfur dioxide (lbs/MWh) 1.3 29 Nitrogen oxide

  3. EIA - State Electricity Profiles

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

    Arizona Electricity Profile 2013 Table 1. 2013 Summary statistics (Arizona) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 27,910 13 Electric utilities 20,668 12 IPP & CHP 7,242 16 Net generation (megawatthours) 113,325,986 12 Electric utilities 92,740,582 8 IPP & CHP 20,585,405 15 Emissions Sulfur dioxide (short tons) 23,716 31 Nitrogen oxide (short tons) 59,416 15 Carbon dioxide (thousand metric tons) 55,342 16 Sulfur dioxide (lbs/MWh) 0.4 42 Nitrogen

  4. EIA - State Electricity Profiles

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

    California Electricity Profile 2013 Table 1. 2013 Summary statistics (California) Item Value U.S. Rank Primary energy source Natural Gas Net summer capacity (megawatts) 73,772 2 Electric utilities 28,165 4 IPP & CHP 45,607 2 Net generation (megawatthours) 200,077,115 5 Electric utilities 78,407,643 14 IPP & CHP 121,669,472 4 Emissions Sulfur dioxide (short tons) 2,109 48 Nitrogen oxide (short tons) 96,842 5 Carbon dioxide (thousand metric tons) 57,323 13 Sulfur dioxide (lbs/MWh) 0.0 49

  5. EIA - State Electricity Profiles

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

    Colorado Electricity Profile 2013 Table 1. 2013 Summary statistics (Colorado) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 14,769 30 Electric utilities 10,238 28 IPP & CHP 4,531 20 Net generation (megawatthours) 52,937,436 28 Electric utilities 42,508,826 25 IPP & CHP 10,428,610 29 Emissions Sulfur dioxide (short tons) 40,012 27 Nitrogen oxide (short tons) 49,623 21 Carbon dioxide (thousand metric tons) 39,387 20 Sulfur dioxide (lbs/MWh) 1.5 27 Nitrogen

  6. EIA - State Electricity Profiles

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

    Connecticut Electricity Profile 2013 Table 1. 2013 Summary statistics (Connecticut) Item Value U.S. Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,769 35 Electric utilities 152 46 IPP & CHP 8,617 13 Net generation (megawatthours) 35,610,789 38 Electric utilities 50,273 45 IPP & CHP 35,560,516 10 Emissions Sulfur dioxide (short tons) 3,512 45 Nitrogen oxide (short tons) 9,372 45 Carbon dioxide (thousand metric tons) 8,726 41 Sulfur dioxide (lbs/MWh) 0.2 47 Nitrogen

  7. EIA - State Electricity Profiles

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

    Delaware Electricity Profile 2013 Table 1. 2013 Summary statistics (Delaware) Item Value U.S. Rank Primary energy source Natural gas Net summer capacity (megawatts) 3,246 46 Electric utilities 102 47 IPP & CHP 3,144 32 Net generation (megawatthours) 7,760,861 47 Electric utilities 25,986 47 IPP & CHP 7,734,875 34 Emissions Sulfur dioxide (short tons) 2,241 47 Nitrogen oxide (short tons) 2,585 48 Carbon dioxide (thousand metric tons) 4,722 43 Sulfur dioxide (lbs/MWh) 0.6 40 Nitrogen oxide

  8. EIA - State Electricity Profiles

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

    District of Columbia Electricity Profile 2013 Table 1. 2013 Summary statistics (District of Columbia) Item Value U.S. Rank Primary energy source Natural gas Net summer capacity (megawatts) 9 51 Electric utilities IPP & CHP 9 51 Net generation (megawatthours) 65,852 51 Electric utilities IPP & CHP 65,852 51 Emissions Sulfur dioxide (short tons) 0 51 Nitrogen oxide (short tons) 148 51 Carbon dioxide (thousand metric tons) 49 50 Sulfur dioxide (lbs/MWh) 0.0 51 Nitrogen oxide (lbs/MWh) 4.5 3

  9. EIA - State Electricity Profiles

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

    Florida Electricity Profile 2013 Table 1. 2013 Summary statistics (Florida) Item Value U.S. Rank Primary energy source Natural gas Net summer capacity (megawatts) 58,781 3 Electric utilities 50,967 1 IPP & CHP 7,813 15 Net generation (megawatthours) 222,398,924 3 Electric utilities 202,527,297 1 IPP & CHP 19,871,627 18 Emissions Sulfur dioxide (short tons) 117,797 12 Nitrogen oxide (short tons) 88,345 6 Carbon dioxide (thousand metric tons) 108,431 3 Sulfur dioxide (lbs/MWh) 1.1 34

  10. EIA - State Electricity Profiles

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

    Georgia Electricity Profile 2013 Table 1. 2013 Summary statistics (Georgia) Item Value U.S. Rank Primary energy source Natural gas Net summer capacity (megawatts) 38,210 7 Electric utilities 28,875 2 IPP & CHP 9,335 10 Net generation (megawatthours) 120,953,734 10 Electric utilities 107,082,884 4 IPP & CHP 13,870,850 26 Emissions Sulfur dioxide (short tons) 123,735 10 Nitrogen oxide (short tons) 55,462 20 Carbon dioxide (thousand metric tons) 56,812 15 Sulfur dioxide (lbs/MWh) 2.0 20

  11. EIA - State Electricity Profiles

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

    Hawaii Electricity Profile 2013 Table 1. 2013 Summary statistics (Hawaii) Item Value U.S. Rank Primary energy source Petroleum Net summer capacity (megawatts) 2,757 47 Electric utilities 1,821 40 IPP & CHP 937 45 Net generation (megawatthours) 10,267,052 45 Electric utilities 5,748,256 40 IPP & CHP 4,518,796 40 Emissions Sulfur dioxide (short tons) 20,710 33 Nitrogen oxide (short tons) 25,416 31 Carbon dioxide (thousand metric tons) 7,428 42 Sulfur dioxide (lbs/MWh) 4.0 5 Nitrogen oxide

  12. EIA - State Electricity Profiles

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

    Idaho Electricity Profile 2013 Table 1. 2013 Summary statistics (Idaho) Item Value U.S. Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,924 42 Electric utilities 3,394 37 IPP & CHP 1,530 39 Net generation (megawatthours) 15,186,128 43 Electric utilities 9,600,216 36 IPP & CHP 5,585,912 39 Emissions Sulfur dioxide (short tons) 6,565 42 Nitrogen oxide (short tons) 7,627 46 Carbon dioxide (thousand metric tons) 1,942 49 Sulfur dioxide (lbs/MWh) 0.9 37 Nitrogen

  13. EIA - State Electricity Profiles

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

    Illinois Electricity Profile 2013 Table 1. 2013 Summary statistics (Illinois) Item Value U.S. Rank Primary energy source Nuclear Net summer capacity (megawatts) 44,950 4 Electric utilities 5,269 35 IPP & CHP 39,681 4 Net generation (megawatthours) 203,004,919 4 Electric utilities 11,571,734 35 IPP & CHP 191,433,185 3 Emissions Sulfur dioxide (short tons) 203,951 6 Nitrogen oxide (short tons) 63,358 11 Carbon dioxide (thousand metric tons) 97,812 6 Sulfur dioxide (lbs/MWh) 2.0 21 Nitrogen

  14. EIA - State Electricity Profiles

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

    Indiana Electricity Profile 2013 Table 1. 2013 Summary statistics (Indiana) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 27,196 14 Electric utilities 23,309 8 IPP & CHP 3,888 24 Net generation (megawatthours) 110,403,477 13 Electric utilities 96,047,678 7 IPP & CHP 14,355,799 23 Emissions Sulfur dioxide (short tons) 273,718 4 Nitrogen oxide (short tons) 121,681 3 Carbon dioxide (thousand metric tons) 98,895 5 Sulfur dioxide (lbs/MWh) 5.0 2 Nitrogen

  15. EIA - State Electricity Profiles

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

    Iowa Electricity Profile 2013 Table 1. 2013 Summary statistics (Iowa) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 15,929 25 Electric utilities 12,092 21 IPP & CHP 3,837 26 Net generation (megawatthours) 56,670,757 27 Electric utilities 41,932,708 26 IPP & CHP 14,738,048 22 Emissions Sulfur dioxide (short tons) 106,879 14 Nitrogen oxide (short tons) 44,657 25 Carbon dioxide (thousand metric tons) 39,175 21 Sulfur dioxide (lbs/MWh) 3.8 6 Nitrogen oxide

  16. EIA - State Electricity Profiles

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

    Kansas Electricity Profile 2013 Table 1. 2013 Summary statistics (Kansas) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 14,093 32 Electric utilities 11,593 24 IPP & CHP 2,501 35 Net generation (megawatthours) 48,472,581 32 Electric utilities 39,808,763 28 IPP & CHP 8,663,819 32 Emissions Sulfur dioxide (short tons) 30,027 30 Nitrogen oxide (short tons) 30,860 30 Carbon dioxide (thousand metric tons) 33,125 27 Sulfur dioxide (lbs/MWh) 1.2 30 Nitrogen

  17. EIA - State Electricity Profiles

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

    Kentucky Electricity Profile 2013 Table 1. 2013 Summary statistics (Kentucky) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 21,004 21 Electric utilities 19,599 16 IPP & CHP 1,405 40 Net generation (megawatthours) 89,741,021 18 Electric utilities 89,098,127 11 IPP & CHP 642,894 50 Emissions Sulfur dioxide (short tons) 190,782 7 Nitrogen oxide (short tons) 87,201 7 Carbon dioxide (thousand metric tons) 85,304 7 Sulfur dioxide (lbs/MWh) 4.3 4 Nitrogen oxide

  18. EIA - State Electricity Profiles

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

    Louisiana Electricity Profile 2013 Table 1. 2013 Summary statistics (Louisiana) Item Value U.S. Rank Primary energy source Natural gas Net summer capacity (megawatts) 26,228 15 Electric utilities 17,297 17 IPP & CHP 8,931 12 Net generation (megawatthours) 102,010,177 15 Electric utilities 56,226,016 17 IPP & CHP 45,784,161 8 Emissions Sulfur dioxide (short tons) 122,578 11 Nitrogen oxide (short tons) 82,286 9 Carbon dioxide (thousand metric tons) 58,274 12 Sulfur dioxide (lbs/MWh) 2.4 16

  19. EIA - State Electricity Profiles

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

    Maine Electricity Profile 2013 Table 1. 2013 Summary statistics (Maine) Item Value U.S. Rank Primary energy source Natural gas Net summer capacity (megawatts) 4,499 43 Electric utilities 14 49 IPP & CHP 4,485 21 Net generation (megawatthours) 14,030,038 44 Electric utilities 597 49 IPP & CHP 14,029,441 25 Emissions Sulfur dioxide (short tons) 13,365 38 Nitrogen oxide (short tons) 9,607 44 Carbon dioxide (thousand metric tons) 3,675 45 Sulfur dioxide (lbs/MWh) 1.9 23 Nitrogen oxide

  20. EIA - State Electricity Profiles

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

    Maryland Electricity Profile 2013 Table 1. 2013 Summary statistics (Maryland) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 12,339 33 Electric utilities 85 48 IPP & CHP 12,254 8 Net generation (megawatthours) 35,850,812 37 Electric utilities 30,205 46 IPP & CHP 35,820,607 9 Emissions Sulfur dioxide (short tons) 41,539 26 Nitrogen oxide (short tons) 21,995 34 Carbon dioxide (thousand metric tons) 18,950 34 Sulfur dioxide (lbs/MWh) 2.3 17 Nitrogen oxide

  1. EIA - State Electricity Profiles

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

    Massachusetts Electricity Profile 2013 Table 1. 2013 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,678 32 Electric utilities 969 42 IPP & CHP 12,709 7 Net generation (megawatthours) 32,885,021 40 Electric utilities 611,320 44 IPP & CHP 32,273,700 12 Emissions Sulfur dioxide (short tons) 12,339 40 Nitrogen oxide (short tons) 15,150 41 Carbon dioxide (thousand metric tons) 14,735 38 Sulfur dioxide (lbs/MWh) 0.8 38

  2. EIA - State Electricity Profiles

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

    Michigan Electricity Profile 2013 Table 1. 2013 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,128 11 Electric utilities 22,148 9 IPP & CHP 7,981 14 Net generation (megawatthours) 105,417,801 14 Electric utilities 83,171,310 13 IPP & CHP 22,246,490 14 Emissions Sulfur dioxide (short tons) 237,091 5 Nitrogen oxide (short tons) 86,058 8 Carbon dioxide (thousand metric tons) 67,193 10 Sulfur dioxide (lbs/MWh) 4.5 3 Nitrogen oxide

  3. EIA - State Electricity Profiles

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

    Minnesota Electricity Profile 2013 Table 1. 2013 Summary statistics (Minnesota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 15,758 26 Electric utilities 11,901 22 IPP & CHP 3,858 25 Net generation (megawatthours) 51,296,988 31 Electric utilities 41,155,904 27 IPP & CHP 10,141,084 30 Emissions Sulfur dioxide (short tons) 35,625 28 Nitrogen oxide (short tons) 36,972 28 Carbon dioxide (thousand metric tons) 29,255 29 Sulfur dioxide (lbs/MWh) 1.4 28 Nitrogen

  4. EIA - State Electricity Profiles

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

    Mississippi Electricity Profile 2013 Table 1. 2013 Summary statistics (Mississippi) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 15,561 28 Electric utilities 12,842 20 IPP & CHP 2,719 35 Net generation (megawatthours) 52,810,264 29 Electric utilities 45,413,403 23 IPP & CHP 7,396,861 35 Emissions Sulfur dioxide (short tons) 87,718 17 Nitrogen oxide (short tons) 24,490 32 Carbon dioxide (thousand metric tons) 22,633 33 Sulfur dioxide (lbs/MWh) 3.3 9

  5. EIA - State Electricity Profiles

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

    Missouri Electricity Profile 2013 Table 1. 2013 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,801 19 Electric utilities 20,562 15 IPP & CHP 1,239 42 Net generation (megawatthours) 91,626,593 17 Electric utilities 89,217,205 10 IPP & CHP 2,409,387 46 Emissions Sulfur dioxide (short tons) 157,488 8 Nitrogen oxide (short tons) 78,033 10 Carbon dioxide (thousand metric tons) 78,344 8 Sulfur dioxide (lbs/MWh) 3.4 8 Nitrogen oxide

  6. EIA - State Electricity Profiles

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

    Montana Electricity Profile 2013 Table 1. 2013 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,329 41 Electric utilities 2,568 38 IPP & CHP 3,761 27 Net generation (megawatthours) 27,687,326 41 Electric utilities 7,361,898 38 IPP & CHP 20,325,428 16 Emissions Sulfur dioxide (short tons) 16,865 36 Nitrogen oxide (short tons) 21,789 35 Carbon dioxide (thousand metric tons) 16,951 35 Sulfur dioxide (lbs/MWh) 1.2 31 Nitrogen oxide

  7. EIA - State Electricity Profiles

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

    Nebraska Electricity Profile 2013 Table 1. 2013 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,449 36 Electric utilities 7,911 30 IPP & CHP 538 49 Net generation (megawatthours) 37,104,628 34 Electric utilities 35,170,167 30 IPP & CHP 1,934,461 48 Emissions Sulfur dioxide (short tons) 66,884 22 Nitrogen oxide (short tons) 31,505 29 Carbon dioxide (thousand metric tons) 28,043 32 Sulfur dioxide (lbs/MWh) 3.6 7 Nitrogen oxide

  8. EIA - State Electricity Profiles

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

    Nevada Electricity Profile 2013 Table 1. 2013 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,652 34 Electric utilities 7,915 29 IPP & CHP 2,737 34 Net generation (megawatthours) 36,443,874 35 Electric utilities 27,888,008 34 IPP & CHP 8,555,866 33 Emissions Sulfur dioxide (short tons) 7,436 41 Nitrogen oxide (short tons) 16,438 39 Carbon dioxide (thousand metric tons) 15,690 37 Sulfur dioxide (lbs/MWh) 0.4 43 Nitrogen

  9. EIA - State Electricity Profiles

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

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  10. EIA - State Electricity Profiles

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

    Jersey Electricity Profile 2013 Table 1. 2013 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 18,997 22 Electric utilities 544 43 IPP & CHP 18,452 6 Net generation (megawatthours) 64,750,942 24 Electric utilities -122,674 50 IPP & CHP 64,873,616 6 Emissions Sulfur dioxide (short tons) 3,196 46 Nitrogen oxide (short tons) 15,299 40 Carbon dioxide (thousand metric tons) 15,789 36 Sulfur dioxide (lbs/MWh) 0.1 48 Nitrogen oxide

  11. EIA - State Electricity Profiles

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

    Mexico Electricity Profile 2013 Table 1. 2013 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 7,938 38 Electric utilities 5,912 33 IPP & CHP 2,026 36 Net generation (megawatthours) 35,870,965 36 Electric utilities 29,833,095 33 IPP & CHP 6,037,870 37 Emissions Sulfur dioxide (short tons) 17,735 34 Nitrogen oxide (short tons) 59,055 16 Carbon dioxide (thousand metric tons) 28,535 31 Sulfur dioxide (lbs/MWh) 1.0 36 Nitrogen

  12. EIA - State Electricity Profiles

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

    York Electricity Profile 2013 Table 1. 2013 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 39,918 6 Electric utilities 10,736 26 IPP & CHP 29,182 5 Net generation (megawatthours) 136,116,830 8 Electric utilities 33,860,490 31 IPP & CHP 102,256,340 5 Emissions Sulfur dioxide (short tons) 30,947 29 Nitrogen oxide (short tons) 44,824 24 Carbon dioxide (thousand metric tons) 33,456 26 Sulfur dioxide (lbs/MWh) 0.5 41 Nitrogen

  13. EIA - State Electricity Profiles

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

    North Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32

  14. EIA - State Electricity Profiles

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

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  15. EIA - State Electricity Profiles

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

    Ohio Electricity Profile 2013 Table 1. 2013 Summary statistics (Ohio) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 32,482 8 Electric utilities 20,779 11 IPP & CHP 11,703 9 Net generation (megawatthours) 137,284,189 7 Electric utilities 88,763,825 12 IPP & CHP 48,520,364 7 Emissions Sulfur dioxide (short tons) 346,873 2 Nitrogen oxide (short tons) 102,526 4 Carbon dioxide (thousand metrictons) 102,466 4 Sulfur dioxide (lbs/MWh) 5.1 1 Nitrogen oxide (lbs/MWh)

  16. EIA - State Electricity Profiles

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

    Oklahoma Electricity Profile 2013 Table 1. 2013 Summary statistics (Oklahoma) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 23,300 17 Electric utilities 16,951 18 IPP & CHP 6,349 17 Net generation (megawatthours) 73,673,680 22 Electric utilities 53,348,841 18 IPP & CHP 20,324,839 17 Emissions Sulfur dioxide 80,418 19 Nitrogen oxide 57,024 17 Carbon dioxide (thousand metric tons) 46,268 19 Sulfur dioxide (lbs/MWh) 2.2 18 Nitrogen oxide (lbs/MWh) 1.5 19

  17. EIA - State Electricity Profiles

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

    Oregon Electricity Profile 2013 Table 1. 2013 Summary statistics (Oregon) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 15,662 27 Electric utilities 10,973 25 IPP & CHP 4,689 19 Net generation (megawatthours) 59,895,515 26 Electric utilities 43,254,167 24 IPP & CHP 16,641,348 21 Emissions Sulfur dioxide (short tons) 17,511 35 Nitrogen oxide (short tons) 13,803 42 Carbon dioxide (thousand metric tons) 9,500 40 Sulfur dioxide (lbs/MWh) 0.6 39 Nitrogen

  18. EIA - State Electricity Profiles

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

    Pennsylvania Electricity Profile 2013 Table 1. 2013 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 43,040 5 Electric utilities 455 44 IPP & CHP 42,584 3 Net generation (megawatthours) 226,785,630 2 Electric utilities 1,105,740 42 IPP & CHP 225,679,890 2 Emissions Sulfur dioxide (short tons) 276,851 3 Nitrogen oxide (short tons) 151,148 2 Carbon dioxide (thousand metric tons) 108,729 2 Sulfur dioxide (lbs/MWh) 2.4 15 Nitrogen

  19. EIA - State Electricity Profiles

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

    Rhode Island Electricity Profile 2013 Table 1. 2013 Summary statistics (Rhode Island) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 1,809 49 Electric utilities 8 50 IPP & CHP 1,802 38 Net generation (megawatthours) 6,246,807 50 Electric utilities 10,659 48 IPP & CHP 6,236,148 36 Emissions Sulfur dioxide (short tons) 1,271 49 Nitrogen oxide (short tons) 1,161 49 Carbon dioxide (thousand metric tons) 2,838 48 Sulfur dioxide (lbs/MWh) 0.4 44 Nitrogen

  20. EIA - State Electricity Profiles

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

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 23,017 18 Electric utilities 21,039 10 IPP & CHP 1,978 37 Net generation (megawatthours) 95,249,894 16 Electric utilities 91,795,732 9 IPP & CHP 3,454,162 44 Emissions Sulfur dioxide (short tons) 47,671 25 Nitrogen oxide (short tons) 19,035 36 Carbon dioxide (thousand metric tons) 28,809 30 Sulfur dioxide (lbs/MWh) 1.0 35

  1. EIA - State Electricity Profiles

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

    South Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (South Dakota) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,109 45 Electric utilities 3,480 36 IPP & CHP 629 48 Net generation (megawatthours) 10,108,887 46 Electric utilities 8,030,545 37 IPP & CHP 2,078,342 47 Emissions Sulfur dioxide (short tons) 15,347 37 Nitrogen oxide (short tons) 11,430 43 Carbon dioxide (thousand metric tons) 3,228 47 Sulfur dioxide (lbs/MWh) 3.0 12

  2. EIA - State Electricity Profiles

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

    Tennessee Electricity Profile 2013 Table 1. 2013 Summary statistics (Tennessee) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,326 20 Electric utilities 20,635 13 IPP & CHP 690 47 Net generation (megawatthours) 79,651,619 19 Electric utilities 75,988,871 15 IPP & CHP 3,662,748 43 Emissions Sulfur dioxide (short tons) 86,204 18 Nitrogen oxide (short tons) 23,189 33 Carbon dioxide (thousand metric tons) 38,118 22 Sulfur dioxide (lbs/MWh) 2.2 19 Nitrogen oxide

  3. EIA - State Electricity Profiles

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

    Texas Electricity Profile 2013 Table 1. 2013 Summary statistics (Texas) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 109,584 1 Electric utilities 28,705 3 IPP & CHP 80,879 1 Net generation (megawatthours) 433,380,166 1 Electric utilities 96,131,888 6 IPP & CHP 337,248,278 1 Emissions Sulfur Dioxide (short tons) 383,728 1 Nitrogen Oxide short tons) 228,695 1 Carbon Dioxide (thousand metric tons) 257,465 1 Sulfur Dioxide (lbs/MWh) 1.8 25 Nitrogen Oxide

  4. EIA - State Electricity Profiles

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

    Utah Electricity Profile 2013 Table 1. 2013 Summary statistics (Utah) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 7,698 39 Electric utilities 6,669 32 IPP & CHP 1,029 44 Net generation (megawatthours) 42,516,751 33 Electric utilities 39,526,881 29 IPP & CHP 2,989,870 45 Emissions Sulfur Dioxide (short tons) 23,670 32 Nitrogen Oxide (short tons) 62,296 13 Carbon Dioxide (thousand metric tons) 35,699 24 Sulfur Dioxide (lbs/MWh) 1.1 33 Nitrogen Oxide (lbs/MWh)

  5. EIA - State Electricity Profiles

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

    Vermont Electricity Profile 2013 Table 1. 2013 Summary statistics (Vermont) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 1,255 50 Electric utilities 329 45 IPP & CHP 925 46 Net generation (megawatthours) 6,884,910 48 Electric utilities 872,238 43 IPP & CHP 6,012,672 38 Emissions Sulfur Dioxide (short tons) 71 50 Nitrogen Oxide (short tons) 792 50 Carbon Dioxide (thousand metric tons) 15 51 Sulfur Dioxide (lbs/MWh) 0.0 50 Nitrogen Oxide (lbs/MWh) 0.2 51

  6. EIA - State Electricity Profiles

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

    Virginia Electricity Profile 2013 Table 1. 2013 Summary statistics (Virginia) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 24,828 16 Electric utilities 20,601 14 IPP & CHP 4,227 22 Net generation (megawatthours) 76,896,565 20 Electric utilities 63,724,860 16 IPP & CHP 13,171,706 28 Emissions Sulfur Dioxide (short tons) 68,077 21 Nitrogen Oxide (short tons) 39,706 27 Carbon Dioxide (thousand metric tons) 34,686 25 Sulfur Dioxide (lbs/MWh) 1.8 26 Nitrogen

  7. EIA - State Electricity Profiles

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

    Washington Electricity Profile 2013 Table 1. 2013 Summary statistics (Washington) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 30,656 10 Electric utilities 27,070 5 IPP & CHP 3,586 28 Net generation (megawatthours) 114,172,916 11 Electric utilities 100,013,661 5 IPP & CHP 14,159,255 24 Emissions Sulfur Dioxide (short tons) 13,259 39 Nitrogen Oxide (short tons) 17,975 38 Carbon Dioxide (thousand metric tons) 12,543 39 Sulfur Dioxide (lbs/MWh) 0.2 46

  8. EIA - State Electricity Profiles

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

    West Virginia Electricity Profile 2013 Table 1. 2013 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,282 24 Electric utilities 10,625 27 IPP & CHP 5,657 18 Net generation (megawatthours) 75,863,067 21 Electric utilities 46,351,104 22 IPP & CHP 29,511,963 13 Emissions Sulfur Dioxide (short tons) 93,888 15 Nitrogen Oxide (short tons) 60,229 14 Carbon Dioxide (thousand metric tons) 68,862 9 Sulfur Dioxide (lbs/MWh) 2.5 14

  9. EIA - State Electricity Profiles

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

    Wisconsin Electricity Profile 2013 Table 1. 2013 Summary statistics (Wisconsin) Item Value Rank Primary Energy Source Coal Net summer capacity (megawatts) 17,342 23 Electric utilities 13,358 19 IPP & CHP 3,984 23 Net generation (megawatthours) 65,962,792 23 Electric utilities 47,027,455 20 IPP & CHP 18,935,337 19 Emissions Sulfur Dioxide (short tons) 108,306 13 Nitrogen Oxide (short tons) 44,114 26 Carbon Dioxide (thousand metric tons) 47,686 18 Sulfur Dioxide (lbs/MWh) 3.3 10 Nitrogen

  10. EIA - State Electricity Profiles

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

    Wyoming Electricity Profile 2013 Table 1. 2013 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,381 37 Electric utilities 7,279 31 IPP & CHP 1,102 43 Net generation (megawatthours) 52,483,065 30 Electric utilities 48,089,178 19 IPP & CHP 4,393,887 41 Emissions Sulfur Dioxide (short tons) 49,587 24 Nitrogen Oxide (short tons) 55,615 19 Carbon Dioxide (thousand metric tons) 50,687 17 Sulfur Dioxide (lbs/MWh) 1.9 24 Nitrogen Oxide

  11. EIA - State Electricity Profiles

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

    Idaho Electricity Profile 2013 Table 1. 2013 Summary statistics (Idaho) Item Value U.S. Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,924 42 Electric utilities 3,394 37 IPP & CHP 1,530 39 Net generation (megawatthours) 15,186,128 43 Electric utilities 9,600,216 36 IPP & CHP 5,585,912 39 Emissions Sulfur dioxide (short tons) 6,565 42 Nitrogen oxide (short tons) 7,627 46 Carbon dioxide (thousand metric tons) 1,942 49 Sulfur dioxide (lbs/MWh) 0.9 37 Nitrogen

  12. EIA - State Electricity Profiles

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

    Oregon Electricity Profile 2013 Table 1. 2013 Summary statistics (Oregon) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 15,662 27 Electric utilities 10,973 25 IPP & CHP 4,689 19 Net generation (megawatthours) 59,895,515 26 Electric utilities 43,254,167 24 IPP & CHP 16,641,348 21 Emissions Sulfur dioxide (short tons) 17,511 35 Nitrogen oxide (short tons) 13,803 42 Carbon dioxide (thousand metric tons) 9,500 40 Sulfur dioxide (lbs/MWh) 0.6 39 Nitrogen

  13. EIA - State Electricity Profiles

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

    South Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (South Dakota) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 4,109 45 Electric utilities 3,480 36 IPP & CHP 629 48 Net generation (megawatthours) 10,108,887 46 Electric utilities 8,030,545 37 IPP & CHP 2,078,342 47 Emissions Sulfur dioxide (short tons) 15,347 37 Nitrogen oxide (short tons) 11,430 43 Carbon dioxide (thousand metric tons) 3,228 47 Sulfur dioxide (lbs/MWh) 3.0 12

  14. EIA - State Electricity Profiles

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

    United States Electricity Profile 2013 Table 1. 2013 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,060,064 Electric utilities 616,799 IPP & CHP 443,264 Net generation (megawatthours) 4,065,964,067 Electric utilities 2,388,058,409 IPP & CHP 1,677,905,658 Emissions Sulfur Dioxide (short tons) 3,978,753 Nitrogen Oxide (short tons) 2,411,564 Carbon Dioxide (thousand metric tons) 2,172,355 Sulfur Dioxide (lbs/MWh) 2.0 Nitrogen Oxide

  15. EIA - State Electricity Profiles

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

    Washington Electricity Profile 2013 Table 1. 2013 Summary statistics (Washington) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 30,656 10 Electric utilities 27,070 5 IPP & CHP 3,586 28 Net generation (megawatthours) 114,172,916 11 Electric utilities 100,013,661 5 IPP & CHP 14,159,255 24 Emissions Sulfur Dioxide (short tons) 13,259 39 Nitrogen Oxide (short tons) 17,975 38 Carbon Dioxide (thousand metric tons) 12,543 39 Sulfur Dioxide (lbs/MWh) 0.2 46

  16. EIA - State Electricity Profiles

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

    Wyoming Electricity Profile 2013 Table 1. 2013 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,381 37 Electric utilities 7,279 31 IPP & CHP 1,102 43 Net generation (megawatthours) 52,483,065 30 Electric utilities 48,089,178 19 IPP & CHP 4,393,887 41 Emissions Sulfur Dioxide (short tons) 49,587 24 Nitrogen Oxide (short tons) 55,615 19 Carbon Dioxide (thousand metric tons) 50,687 17 Sulfur Dioxide (lbs/MWh) 1.9 24 Nitrogen Oxide

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arkansas Electricity Profile 2013 Table 1. 2013 Summary statistics (Arkansas) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 14,786 29 Electric utilities 11,559 23 IPP & CHP 3,227 31 Net generation (megawatthours) 60,322,492 25 Electric utilities 46,547,772 21 IPP & CHP 13,774,720 27 Emissions Sulfur dioxide (short tons) 88,811 16 Nitrogen oxide (short tons) 45,896 23 Carbon dioxide (thousand metric tons) 37,346 23 Sulfur dioxide (lbs/MWh) 2.9 13 Nitrogen

  18. Building Technologies Office Multi-Year Program Plan

    Energy Savers [EERE]

    ... energy loads, and improving the linkages to the national goals of reducing greenhouse gas emissions and electricity grid ... EPCA - Energy Policy Conservation Act of 1975 EPRI - ...

  19. Btu)","per Building

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

    ,"Number of Buildings (thousand)","Floorspace (million square feet)","Floorspace per Building (thousand square feet)","Total (trillion Btu)","per Building (million Btu)","per...

  20. Building Energy Code

    Broader source: Energy.gov [DOE]

    The Rhode Island Building Code Standards Committee adopts, promulgates and administers the state building code. Compliance is determined through the building permit and inspection process by local...

  1. 1999 Commercial Buildings Characteristics

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

    Data Reports > 2003 Building Characteristics Overview 1999 Commercial Buildings Energy Consumption SurveyCommercial Buildings Characteristics Released: May 2002 Topics: Energy...

  2. Small Buildings = Big Opportunity for Energy Savings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-12-01

    Small buildings have a big impact on energy use. In the United States, 44.6 million small buildings consume 44% of the overall energy used in buildings, presenting an enormous opportunity to cut costs, energy use, and greenhouse gas emissions.

  3. Integrated Building Energy Systems Design Considering Storage Technologies

    SciTech Connect (OSTI)

    Stadler, Michael; Marnay, Chris; Siddiqui, Afzal; Lai, Judy; Aki, Hirohisa

    2009-04-07

    The addition of storage technologies such as flow batteries, conventional batteries, and heat storage can improve the economic, as well as environmental attraction of micro-generation systems (e.g., PV or fuel cells with or without CHP) and contribute to enhanced demand response. The interactions among PV, solar thermal, and storage systems can be complex, depending on the tariff structure, load profile, etc. In order to examine the impact of storage technologies on demand response and CO2 emissions, a microgrid's distributed energy resources (DER) adoption problem is formulated as a mixed-integer linear program that can pursue two strategies as its objective function. These two strategies are minimization of its annual energy costs or of its CO2 emissions. The problem is solved for a given test year at representative customer sites, e.g., nursing homes, to obtain not only the optimal investment portfolio, but also the optimal hourly operating schedules for the selected technologies. This paper focuses on analysis of storage technologies in micro-generation optimization on a building level, with example applications in New York State and California. It shows results from a two-year research projectperformed for the U.S. Department of Energy and ongoing work. Contrary to established expectations, our results indicate that PV and electric storage adoption compete rather than supplement each other considering the tariff structure and costs of electricity supply. The work shows that high electricity tariffs during on-peak hours are a significant driver for the adoption of electric storage technologies. To satisfy the site's objective of minimizing energy costs, the batteries have to be charged by grid power during off-peak hours instead of PV during on-peak hours. In contrast, we also show a CO2 minimization strategy where the common assumption that batteries can be charged by PV can be fulfilled at extraordinarily high energy costs for the site.

  4. Building a Smarter Distribution System in Pennsylvania

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

    Study - PPL Electric Utilities Corporation Smart Grid Investment Grant 1 Building a Smarter Distribution System in Pennsylvania PPL Electric Utilities Corporation (PPL) provides electricity to 1.4 million customers across central and eastern Pennsylvania. Having installed smart meters and other advanced technologies over the last several years, PPL has experience with operating smart grid systems and achieving operational improvements. To further improve quality of service for its customers, PPL

  5. Building America Building Science Translator

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

    Building Science Translator February 2015 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, subcontractors, or affliated partners, make any warranty, express or implied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represent that its use

  6. Office Buildings - Types of Office Buildings

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

    administration building Insurance company headquarters building Local insurance agency Social services office Attorney's office Real estate sales office Government office State...

  7. 1999 Commercial Buildings Characteristics--Building Size

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

    (202) 586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey Top Return to: "1999 CBECS-Commercial Buildings Characteristics" Specific questions...

  8. Buildings Interoperability Planning: Connected Buildings Interoperabil...

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

    Vision Context Steve Widergren PNNL 11 March 2015 Topics Purpose of meeting Buildings automation in the transformative time of connectivity Interoperability - a connected buildings...

  9. Building Technologies Program: Building America Publications

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

    and existing homes provided by the Building America Program.You may also visit the new Solution Center to find expert building science and energy efficiency resources. RSS...

  10. 1999 Commercial Building Characteristics--Building Activity Comparison

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

    Building Activity Comparison Percentage of Floorspace and Buildings by Principal Building Activity, 1999 Percentage of Floorspace and Buildings by Principal Building Activity,...

  11. BSC: Building America, Building Science Consortium - 2015 Peer...

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

    Review BSC: Building America, Building Science Consortium - 2015 Peer Review Presenter: Joe Lstiburek, Building Science Corp. View the Presentation BSC: Building America, Building...

  12. Buildings*","Lit Buildings","Lighting Equipment Types

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

    Lighting Equipment, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Lit Buildings","Lighting Equipment Types (more than one ...

  13. Fact #737: July 23, 2012 Upstream Emissions for Nissan Leaf | Department of

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

    Energy 7: July 23, 2012 Upstream Emissions for Nissan Leaf Fact #737: July 23, 2012 Upstream Emissions for Nissan Leaf The all-electric Nissan Leaf does not emit tailpipe emissions like an internal combustion engine, but there are emissions associated with the production of electricity to fuel the Leaf, called upstream emissions. The Environmental Protection Agency (EPA) has estimated those upstream emissions using information about the electric utility fuel sources. The graph below shows

  14. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    2 2010 Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 272.9 49.0 6.7 18.7 2.6 77.0 6.2 128.2 484.3 21.3% Space Cooling 2.3 340.5 342.8 15.1% Lighting 334.1 334.1 14.7% Water Heating 91.9 9.2 4.6 13.7 98.5 204.1 9.0% Refrigeration (5) 149.8 149.8 6.6% Electronics (6) 143.0 143.0 6.3% Ventilation (7) 95.2 95.2 4.2% Computers 68.2 68.2 3.0% Wet

  15. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    3 2015 Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 270.4 43.9 6.2 16.6 2.1 68.8 6.2 93.0 438.4 21.3% Lighting 243.7 243.7 11.8% Space Cooling 1.9 241.0 242.9 11.8% Water Heating 95.0 7.2 3.1 10.3 89.6 194.9 9.4% Refrigeration (5) 127.5 127.5 6.2% Electronics (6) 101.9 101.9 4.9% Ventilation (7) 85.0 85.0 4.1% Computers 59.9 59.9 2.9% Wet

  16. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    4 2025 Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 263.3 35.5 6.3 15.2 2.0 59.0 6.1 98.9 427.3 19.2% Space Cooling 1.8 258.7 260.5 11.7% Lighting 245.4 245.4 11.0% Water Heating 97.7 5.7 2.5 8.3 97.6 203.7 9.2% Refrigeration (5) 129.5 129.5 5.8% Electronics (6) 122.6 122.6 5.5% Ventilation (7) 94.4 94.4 4.2% Computers 68.8 68.8 3.1% Wet

  17. Buildings Energy Data Book: 1.4 Environmental Data

    Buildings Energy Data Book [EERE]

    5 2035 Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 257.1 29.5 6.6 14.1 1.9 52.1 6.0 102.1 417.3 17.4% Space Cooling 1.7 278.5 280.3 11.7% Lighting 253.9 253.9 10.6% Water Heating 96.0 5.1 2.1 7.3 98.1 201.4 8.4% Electronics (5) 140.4 140.4 5.9% Refrigeration (6) 137.1 137.1 5.7% Ventilation (7) 100.7 100.7 4.2% Computers 75.5 75.5 3.1%

  18. Buildings Energy Data Book: 2.4 Residential Environmental Data

    Buildings Energy Data Book [EERE]

    1 Carbon Dioxide Emissions for U.S. Residential Buildings, by Year (Million Metric Tons) (1) Residential U.S. Site Res.% Res.% Fossil Electricity Total Total of Total U.S. of Total Global 1980 385 525 909 4723 19% 4.9% 1981 361 518 878 4601 19% 4.8% 1982 359 511 870 4357 20% 4.8% 1983 340 525 865 4332 20% 4.7% 1984 349 535 883 4561 19% 4.6% 1985 351 549 901 4559 20% 4.6% 1986 343 551 894 4564 20% 4.5% 1987 346 574 920 4714 20% 4.5% 1988 367 603 970 4939 20% 4.6% 1989 374 606 980 4983 20% 4.6%

  19. Buildings Energy Data Book: 2.4 Residential Environmental Data

    Buildings Energy Data Book [EERE]

    3 2010 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 185.5 38.8 18.7 2.2 59.7 0.7 77.6 323.5 26.3% Space Cooling 0.0 210.2 210.2 17.1% Water Heating 68.7 7.1 4.6 11.7 90.4 170.8 13.9% Lighting 126.0 126.0 10.2% Electronics (5) 96.5 96.5 7.8% Refrigeration (6) 80.7 80.7 6.6% Wet Cleaning (7) 2.9 57.8 60.8 4.9% Cooking 11.4 1.9

  20. Buildings Energy Data Book: 2.4 Residential Environmental Data

    Buildings Energy Data Book [EERE]

    4 2015 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 180.5 34.9 16.6 1.8 53.3 0.6 66.6 301.0 27.4% Space Cooling 0.0 161.1 161.1 14.7% Water Heating 69.6 5.1 3.1 8.2 75.3 153.1 13.9% Lighting 83.7 83.7 7.6% Refrigeration (5) 71.7 71.7 6.5% Electronics (6) 52.0 52.0 4.7% Wet Cleaning (7) 3.2 51.6 54.7 5.0% Cooking 11.5 1.8 1.8

  1. Buildings Energy Data Book: 2.4 Residential Environmental Data

    Buildings Energy Data Book [EERE]

    5 2025 Residential Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Space Heating (4) 173.9 27.9 15.2 1.6 44.7 0.6 73.2 292.3 25.1% Space Cooling 0.0 177.2 177.2 15.2% Water Heating 70.2 3.5 2.5 6.0 83.7 159.9 13.8% Lighting 74.1 74.1 6.4% Refrigeration (5) 75.8 75.8 6.5% Electronics (6) 58.7 58.7 5.1% Wet Cleaning (7) 3.3 47.9 51.2 4.4% Cooking 11.7 1.6 1.6

  2. Solar Applications to Multiple County Buildings Feasibility Study

    Broader source: Energy.gov [DOE]

    This study was requested by Salt Lake County in an effort to obtain a cursory overview of solar electric and solar thermal application possibilities on the rooftops of existing county buildings. The subject buildings represent various County Divisions: Aging Services, Community Services, County Health, County Library, Parks & Recreation, Public Works, County Sheriff and Youth Services. There are fifty two buildings included in the study.

  3. electricity.pdf

    Gasoline and Diesel Fuel Update (EIA)

    Electricity Usage Form 1999 Commercial Buildings Energy Consumption Survey (CBECS) 1. Timely submission of this report is mandatory under Public Law 93-275, as amended. 2. This completed questionnaire is due by 3. Data reported on this questionnaire are for the entire building identified in the label to the right. 4. Data may be submitted directly on this questionnaire or in any other format, such as a computer-generated listing, which provides the same i nformation and is conve nient for y our

  4. Buildings | Open Energy Information

    Open Energy Info (EERE)

    influence a building, including incentives, utilities, weather, climate, and locationground temperature. Municipalities and Renewable Energy Opportunities Building...

  5. Building Envelope Stakeholder Workshop

    Broader source: Energy.gov [DOE]

    Oak Ridge National Laboratory is hosting a building envelope stakeholder workshop on behalf of the DOE Building Technologies Office.

  6. Building America Building Science Education Roadmap

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

    Building Science Education Roadmap April 2013 Contents Introduction ................................................................................................................................ 3 Background ................................................................................................................................. 4 Summit Participants .................................................................................................................... 5 Key Results

  7. Commercial Buildings Energy Consumption Survey - Office Buildings

    Reports and Publications (EIA)

    2010-01-01

    Provides an in-depth look at this building type as reported in the 2003 Commercial Buildings Energy Consumption Survey. Office buildings are the most common type of commercial building and they consumed more than 17% of all energy in the commercial buildings sector in 2003. This special report provides characteristics and energy consumption data by type of office building (e.g. administrative office, government office, medical office) and information on some of the types of equipment found in office buildings: heating and cooling equipment, computers, servers, printers, and photocopiers.

  8. Hybrid and Plug-In Electric Vehicles (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2014-05-01

    Hybrid and plug-in electric vehicles use electricity as their primary fuel or to improve the efficiency of conventional vehicle designs. These vehicles can be divided into three categories: hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), all-electric vehicles (EVs). Together, they have great potential to cut U.S. petroleum use and vehicle emissions.

  9. Energy Department's New Buildings Solution Center Shares Proven Strategies

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

    for Energy Efficiency Programs | Department of Energy Department's New Buildings Solution Center Shares Proven Strategies for Energy Efficiency Programs Energy Department's New Buildings Solution Center Shares Proven Strategies for Energy Efficiency Programs October 28, 2014 - 8:14am Addthis The Energy Department today released a new resource, the Better Buildings Residential Program Solution Center, to share proven methods for reducing energy waste and carbon emissions in U.S. buildings. A

  10. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    1 Building Energy Prices, by Year and Major Fuel Type ($2010 per Million Btu) Residential Buildings Commercial Buildings Building Electricity Natural Gas Petroleum (1) Avg. Electricity Natural Gas Petroleum (2) Avg. Avg. (3) 1980 36.40 8.35 16.77 17.64 37.22 7.70 13.06 18.52 17.99 1981 38.50 8.88 18.35 19.09 39.06 8.29 14.78 20.56 19.68 1982 40.15 10.08 17.28 19.98 40.15 9.40 13.28 21.21 20.48 1983 40.43 11.30 16.08 21.00 39.51 10.43 12.53 21.55 21.23 1984 38.80 11.02 15.61 20.20 38.68 10.00

  11. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    3 Buildings Aggregate Energy Expenditures, by Year and Major Fuel Type ($2010 Billion) (1) Residential Buildings Commercial Buildings Total Building Electricity Natural Gas Petroleum (2) Total Electricity Natural Gas Petroleum (3) Total Expenditures 1980 89.1 40.5 28.9 158.5 70.9 20.5 17.2 108.6 267.2 1981 94.9 41.3 27.8 164.0 79.4 21.4 16.5 117.3 281.3 1982 99.9 47.9 24.5 172.3 83.4 25.1 13.7 122.2 294.5 1983 103.6 51.0 21.4 176.1 83.6 26.1 14.6 124.3 300.4 1984 103.3 51.6 23.6 178.5 87.6 25.9

  12. TOLEDO BETTERS BUILDINGS WITH FINANCING OPTIONS | Department of Energy

    Energy Savers [EERE]

    TOLEDO BETTERS BUILDINGS WITH FINANCING OPTIONS TOLEDO BETTERS BUILDINGS WITH FINANCING OPTIONS TOLEDO BETTERS BUILDINGS WITH FINANCING OPTIONS In June 2010, northwestern Ohio was recovering from a period of both high unemployment and a substantial drop in business activity associated with the nationwide recession. With utility prices for electricity and natural gas at record lows, building energy efficiency improvements were a tough sell. Using $15 million in seed funding from the U.S.

  13. Lime Energy formerly Electric City Corporation | Open Energy...

    Open Energy Info (EERE)

    integrator of energy savings technologies and building automation systems. Specialist in demand response systems. References: Lime Energy (formerly Electric City Corporation)1...

  14. The Swiss Competence Center for Energy Research Heat and Electricity...

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

    on buildings and processes by exploring advanced adiabatic compressed air storage (AA-CAES), pumped heat electric storage (PHES) and high-temperature process heat. iii) Hydrogen...

  15. Geothermal Electric Plant Planned in N.M.

    Broader source: Energy.gov [DOE]

    Publicly traded Raser Technologies Inc. of Provo, Utah, said Wednesday that it is planning to build New Mexico's first commercial geothermal electric generation plant.

  16. Perry Wyoming manure to electricity generation plant | Open Energy...

    Open Energy Info (EERE)

    will build and operate anaerobic digestion systems to convert animal manure into methane for electricity generation. Coordinates: 42.895849, -89.760231 Show Map Loading...

  17. Oncor Electric Delivery - Solar Photovoltaic Standard Offer Program...

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

    Summary Oncor Electric Delivery offers rebates to its customers that install photovoltaic (PV) systems on homes or other buildings.* Oncor customers of all rate classes...

  18. Vectren Energy Delivery of Indiana (Electric)- Commercial New Construction Rebates

    Broader source: Energy.gov [DOE]

    Vectren Energy Delivery offers commercial customers in Indiana electric rebates for the installation of certain types of equipment in newly constructed buildings through its Energy Design Assist...

  19. Coming Full Circle in Florida: Improving Electric Grid Reliability...

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

    Patricia A. Hoffman Patricia A. Hoffman Assistant Secretary, Office of Electricity Delivery & Energy Reliability LEARN MORE Assistant Secretary Hoffman speaks on building a ...

  20. Lighting and Electrical Team Leadership and Project Delivery

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

    Lighting and Electrical Team Leadership and Project Delivery 2014 Building Technologies ... million sq ft of high efficiency parking lighting by February 2014 2. LEEP: 300 million sq ...

  1. Energy Department/Electric Power Research Institute Cooperation...

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

    such as carbon dioxide, reductions resulting from these efforts; promotion of digital communication between the electric grid and buildings; testing to develop digital devices ...

  2. Small Town Using Wind Power to Offset Electricity Costs

    Broader source: Energy.gov [DOE]

    Wind turbines will be used to supply electricity for the town hall, maintenance building, library and help power the town's water system.

  3. Cumberland Valley Electric Cooperative- Energy Efficiency and Renewable Energy Program

    Broader source: Energy.gov [DOE]

    Cumberland Valley Electric offers a number of programs to promote energy conservation. This program offers rebates for air source heat pumps, building insulation (including windows and doors), and...

  4. Building Technologies Office Overview

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

    Roland Risser Director, Building Technologies Office Building Technologies Office Energy Efficiency Starts Here. 2 Building Technologies Office Integrated Approach: Improving Building Performance Research & Development Developing High Impact Technologies Standards & Codes Locking in the Savings Market Stimulation Accelerating Tech-to- Market 3 Building Technologies Office Goal: Reduce building energy use by 50% (compared to a 2010 baseline) 4 Building Technologies Office Working to

  5. Building America

    SciTech Connect (OSTI)

    Brad Oberg

    2010-12-31

    Builders generally use a 'spec and purchase' business management system (BMS) when implementing energy efficiency. A BMS is the overall operational and organizational systems and strategies that a builder uses to set up and run its company. This type of BMS treats building performance as a simple technology swap (e.g. a tank water heater to a tankless water heater) and typically compartmentalizes energy efficiency within one or two groups in the organization (e.g. purchasing and construction). While certain tools, such as details, checklists, and scopes of work, can assist builders in managing the quality of the construction of higher performance homes, they do nothing to address the underlying operational strategies and issues related to change management that builders face when they make high performance homes a core part of their mission. To achieve the systems integration necessary for attaining 40% + levels of energy efficiency, while capturing the cost tradeoffs, builders must use a 'systems approach' BMS, rather than a 'spec and purchase' BMS. The following attributes are inherent in a systems approach BMS; they are also generally seen in quality management systems (QMS), such as the National Housing Quality Certification program: Cultural and corporate alignment, Clear intent for quality and performance, Increased collaboration across internal and external teams, Better communication practices and systems, Disciplined approach to quality control, Measurement and verification of performance, Continuous feedback and improvement, and Whole house integrated design and specification.

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Alabama Table 1. 2013 Summary statistics (Alabama) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 32,353 9 Electric utilities 23,419 7 IPP & CHP 8,934 11 Net generation (megawatthours) 150,572,924 6 Electric utilities 115,027,021 3 IPP & CHP 35,545,903 11 Emissions Sulfur dioxide (short tons) 144,568 9 Nitrogen oxide (short tons) 56,885 18 Carbon dioxide (thousand metric tons) 66,986 11 Sulfur dioxide (lbs/MWh) 1.9 22 Nitrogen oxide (lbs/MWh) 0.8 39

  7. Building Energy Optimization Analysis Method (BEopt) - Building...

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

    Read the Top Innovation profile about BEopt. See an example of a Building America project that used BEopt. Find more case studies of Building America projects across the country ...

  8. Voluntary Green Building Standards for Public Buildings

    Broader source: Energy.gov [DOE]

    NOTE: The program described below is a voluntary program that encourages state agencies to consider using green building standard. The State of Alabama does not have mandatory Green Building...

  9. Building America Webinar: Ventilation in Multifamily Buildings

    Broader source: Energy.gov [DOE]

    This webinar was presented by research team Consortium for Advanced Residential Buildings (CARB), and discussed ventilation strategies for multifamily buildings, including how to successfully implement those strategies through smart design, specification, and construction techniques.

  10. Fact #753: November 12, 2012 Sources of Electricity by State | Department

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

    of Energy 3: November 12, 2012 Sources of Electricity by State Fact #753: November 12, 2012 Sources of Electricity by State Electric vehicles do not create emissions from a tailpipe like conventional vehicles do. The electricity used to fuel electric vehicles is generated at power plants all across the nation. Because each plant that generates electricity can use a different mix of energy sources, the emissions associated with electric vehicle charging can vary significantly depending on

  11. Retail Buildings: Assessing and Reducing Plug and Process Loads in Retail Buildings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-04-01

    Plug and process loads (PPLs) in commercial buildings account for almost 5% of U.S. primary energy consumption. Minimizing these loads is a primary challenge in the design and operation of an energy-efficient building. PPLs are not related to general lighting, heating, ventilation, cooling, and water heating, and typically do not provide comfort to the occupants. They use an increasingly large fraction of the building energy use pie because the number and variety of electrical devices have increased along with building system efficiency. Reducing PPLs is difficult because energy efficiency opportunities and the equipment needed to address PPL energy use in retail spaces are poorly understood.

  12. Office Buildings: Assessing and Reducing Plug and Process Loads in Office Buildings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-04-01

    Plug and process loads (PPLs) in commercial buildings account for almost 5% of U.S. primary energy consumption. Minimizing these loads is a primary challenge in the design and operation of an energy-efficient building. PPLs are not related to general lighting, heating, ventilation, cooling, and water heating, and typically do not provide comfort to the occupants. They use an increasingly large fraction of the building energy use pie because the number and variety of electrical devices have increased along with building system efficiency. Reducing PPLs is difficult because energy efficiency opportunities and the equipment needed to address PPL energy use in office spaces are poorly understood.

  13. Building America Webinar: Ventilation in Multifamily Buildings...

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

    ventilation strategies for multifamily buildings, including how to successfully implement those strategies through smart design, specification, and construction techniques. ...

  14. electric load data | OpenEI Community

    Open Energy Info (EERE)

    electric load data Home Sfomail's picture Submitted by Sfomail(48) Member 17 May, 2013 - 12:03 Commercial and Residential Hourly Load Data Now Available on OpenEI building load...

  15. Building Science-Based Climate Maps - Building America Top Innovation...

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

    Building Science-Based Climate Maps - Building America Top Innovation Building Science-Based Climate Maps - Building America Top Innovation Photo showing climate zone maps based on ...

  16. Types of Lighting in Commercial Buildings - Building Size and...

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

    commercial buildings. Note: Data are for non-mall buildings. Source: Energy Information Administration, 2003 Commercial Buildings Energy Consumption Survey. Office buildings and...

  17. Building America Top Innovations Hall of Fame Profile - Building...

    Energy Savers [EERE]

    Building America Top Innovations Hall of Fame Profile - Building Energy Optimization Analysis Method (BEopt) Building America Top Innovations Hall of Fame Profile - Building Energy...

  18. Buildings","All Buildings with Water Heating","Water-Heating...

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

    5. Water-Heating Energy Sources, Number of Buildings, 1999" ,"Number of Buildings (thousand)" ,"All Buildings","All Buildings with Water Heating","Water-Heating Energy Sources Used ...

  19. Office Buildings: Consumption Tables

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

    and Type of Office Building Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) Dollars per Million Btu All Office Buildings 1,089 1,475 90.5 16.32...

  20. Building Energy Code

    Broader source: Energy.gov [DOE]

    In 2006 Iowa enacted H.F. 2361, requiring the State Building Commissioner to adopt energy conservation requirements based on a nationally recognized building energy code. The State Building Code...

  1. Environmental Assessment of Plug-In Hybrid Electric Vehicles Volume 1:

    Office of Environmental Management (EM)

    Nationwide Greenhouse Gas Emissions | Department of Energy Environmental Assessment of Plug-In Hybrid Electric Vehicles Volume 1: Nationwide Greenhouse Gas Emissions Environmental Assessment of Plug-In Hybrid Electric Vehicles Volume 1: Nationwide Greenhouse Gas Emissions In the most comprehensive environmental assessment of electric transportation to date, the Electric Power Research Institute (EPRI) and the Natural Resources Defense Council (NRDC) are examining the greenhouse gas emissions

  2. Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle

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

    Emissions Data Sources and Assumptions Electricity Printable Version Share this resource Send a link to Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions to someone by E-mail Share Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions on Facebook Tweet about Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions on Twitter Bookmark

  3. Building-Grid Integration Research and Development Innovators Program (BIRD IP)

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Building Technologies Office (BTO) within the Department of Energy (DOE) is seeking graduate students interested in exploring building-grid integration and development (R&D) technology concepts that can improve the operating efficiency of buildings and increase penetration of distributed renewable energy generation, leading to more efficient buildings and cleaner generation of electricity.

  4. Effective O&M Policy in Public Buildings | Department of Energy

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

    Effective O&M Policy in Public Buildings Effective O&M Policy in Public Buildings This webinar covered effective operations and maintenance in public buildings. Transcript PDF icon Presentation More Documents & Publications Preparing for the Arrival of Electric Vehicle Low-to-No Cost Strategy for Energy Efficiency in Public Buildings Energy Code Compliance and Enforcement Best Practices

  5. Buildings Performance Database Overview

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

    Overview Buildings.energy.gov/BPD BuildingsPerformanceDatabase@ee.doe.gov 2 * The BPD statistically analyzes trends in the energy performance and physical & operational characteristics of real commercial and residential buildings. The Buildings Performance Database 3 Design Principles * The BPD contains actual data on existing buildings - not modeled data or anecdotal evidence. * The BPD enables statistical analysis without revealing information about individual buildings. * The BPD cleanses

  6. Commercial Buildings Integration Program

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

    Buildings Integration Program Arah Schuur Program Manager arah.schuur@ee.doe.gov April 2, 2013 Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov Vision Commercial buildings are constructed, operated, renovated and transacted with energy performance in mind and net zero ready commercial buildings are common and cost-effective. Commercial Buildings Integration Program Mission Accelerate voluntary uptake of significant energy performance improvements

  7. Transforming Commercial Building Operations

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

    Transforming Commercial Building Operations Transforming Commercial Building Operations Ron Underhill Pacific Northwest National Laboratory ronald.underhill@pnnl.gov (509)375-9765 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Most buildings are not commissioned (Cx) before occupancy, including HVAC and lighting systems * Buildings often are poorly operated and maintained leading to significant energy waste of 5 to 20%, even when they have building automation systems (BASs) *

  8. Buildings GHG Mitigation Estimator Worksheet, Version 1

    Broader source: Energy.gov [DOE]

    Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.

  9. Fuel Mix and Emissions Disclosure | Department of Energy

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

    Customer Choice and Electric Reliability Act of 2000 (P.A. 141) requires electric suppliers to disclose to customers details related to the fuel mix and emissions, in pounds...

  10. Energy 101: Electric Vehicles | Department of Energy

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

    Electric Vehicles Energy 101: Electric Vehicles January 9, 2012 - 4:22pm Addthis A look at how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. John Schueler John Schueler Former New Media Specialist, Office of Public Affairs While the North American International Auto Show is slated to kick off today in Detroit, and the industry is already abuzz with the latest innovations in electric

  11. Office Buildings - Full Report

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

    administration building Insurance company headquarters building Local insurance agency Social services office Attorney's office Real estate sales office Government office State...

  12. Building Energy Code

    Broader source: Energy.gov [DOE]

    The California Building Standards Commission (BSC) is responsible for administering California's building standards adoption, publication, and implementation. Since 1989, the BSC has published tr...

  13. Model Building Energy Code

    Broader source: Energy.gov [DOE]

    The Energy Efficiency Building Performance Standards (EEBPS) are statewide minimum requirements that all new construction and additions to existing buildings must satisfy. Exceptions include...

  14. Food Sales Buildings

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

    Sales Characteristics by Activity... Food Sales Food sales buildings are buildings that are used for retail or wholesale sale of food. Basic Characteristics See also: Equipment |...

  15. Buildings","Year Constructed"

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

    ... with Cooling ......",58474,2911,4383,7601,9325,11050,12849,10355 "Buildings with Water Heating .",56115,3130,4644,7154,9421,10182,12137,9446 "Buildings with Cooking ...

  16. Buildings | Open Energy Information

    Open Energy Info (EERE)

    work, live, learn, govern, heal, worship, and play in buildings-and they require enormous energy resources. Related Links Buildings Gateway Retrieved from "http:en.openei.orgw...

  17. Ryerson Building Science

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

    Ryerson Building Science -Zone Residence Project Summary - ZONE is a sustainable approach to infill housing in underutilized urban settings Constrained by buildings to the ...

  18. NREL: Buildings Research - Facilities

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

    building technologies and innovations that deliver significant energy savings in buildings, and the new facilities further extend those capabilities. In addition, the NREL...

  19. Ventilation in Multifamily Buildings

    Broader source: Energy.gov [DOE]

    This webinar, hosted by Building America,was conducted on November 1, 2011, and describes ways to save energy in buildings through effective ventilation techniques.

  20. Building Energy Code

    Broader source: Energy.gov [DOE]

    Public Act 093-0936 (Illinois Energy Conservation Code for Commercial Buildings) was signed into law in August, 2004. The Illinois Energy Conservation Code for Commercial Buildings became...

  1. Fuel Mix and Emissions Disclosure | Department of Energy

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

    to disclose to residential and small commercial customers details regarding the fuel mix and emissions of electric generation. Such information is provided to customers four...

  2. U.S. Energy-Related Carbon Dioxide Emissions, 2014

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

    Energy Washington, DC 20585 November 2015 U.S. Energy Information Administration | U.S. ... two factors in the generation of electricity that have allowed emissions to ...

  3. Better Buildings Webinar: Making Utility Energy Efficiency Funds Work for You

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's Better Buildings will host a webinar on innovative collaborations with utilities to bring big energy savings to their building portfolios and help reduce utility peak electricity demand.

  4. 1999 CBECS Principal Building Activities

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

    Data Reports > 2003 Building Characteristics Overview A Look at Building Activities in the 1999 Commercial Buildings Energy Consumption Survey The Commercial Buildings Energy...

  5. Federal Buildings Supplemental Survey -- Overview

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

    Buildings The Federal Buildings Supplemental Survey 1993 provides building-level energy-related characteristics for a special sample of commercial buildings owned by the...

  6. Health Care Buildings: Equipment Table

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

    Equipment Table Buildings, Size and Age Data by Equipment Types for Health Care Buildings Number of Buildings (thousand) Percent of Buildings Floorspace (million square feet)...

  7. Volttron Enabling Vehicle-to-Building Integration

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

    VOLTTRON(tm) Enabling Vehicle- to-Building Integration 1 RICK PRATT, P.I. Pacific Northwest National Laboratory Software Framework for Transactive Energy: VOLTTRON(tm) This presentation does not contain any proprietary, confidential, or otherwise restricted information 2 What makes electric vehicle charging control a good market for VOLTTRON TM ? Managed charging is needed * EV adoption growth expected * Distribution feeder loads limiting with growing electric vehicle population * EV charging

  8. Bonneville Power Ampere Annex Z-995 Building

    High Performance Buildings Database

    Vancouver, WA The Bonneville Power Administration (BPA), a federal agency headquartered in Portland, Oregon, provides about half of the electricity used in the Pacific Northwest and operates more than three-fourths of the region's high-voltage transmission. Because BPA markets power at cost from 31 federal dams, its rates are among the least expensive electricity in the country. The Ampere Annex project is a renovation of an exisiting 60-year-old standard warehouse building located within the Ross Complex.

  9. Electric vehicles

    SciTech Connect (OSTI)

    Not Available

    1990-03-01

    Quiet, clean, and efficient, electric vehicles (EVs) may someday become a practical mode of transportation for the general public. Electric vehicles can provide many advantages for the nation's environment and energy supply because they run on electricity, which can be produced from many sources of energy such as coal, natural gas, uranium, and hydropower. These vehicles offer fuel versatility to the transportation sector, which depends almost solely on oil for its energy needs. Electric vehicles are any mode of transportation operated by a motor that receives electricity from a battery or fuel cell. EVs come in all shapes and sizes and may be used for different tasks. Some EVs are small and simple, such as golf carts and electric wheel chairs. Others are larger and more complex, such as automobile and vans. Some EVs, such as fork lifts, are used in industries. In this fact sheet, we will discuss mostly automobiles and vans. There are also variations on electric vehicles, such as hybrid vehicles and solar-powered vehicles. Hybrid vehicles use electricity as their primary source of energy, however, they also use a backup source of energy, such as gasoline, methanol or ethanol. Solar-powered vehicles are electric vehicles that use photovoltaic cells (cells that convert solar energy to electricity) rather than utility-supplied electricity to recharge the batteries. This paper discusses these concepts.

  10. Two Colorado-Based Electric Cooperatives Selected as 2014 Wind...

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

    jobs across the country, provides cost- competitive energy, and eliminates more than 115 electric metric tons of carbon dioxide emissions which is equal to removing 20 million...

  11. Renewable Electricity Grid Integration Roadmap for Mexico: Supplement...

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

    FOR LOW EMISSION DEVELOPMENT STRATEGIES Renewable Electricity Grid Integration Roadmap for Mexico: Supplement to the IEA Expert Group Report on Recommended Practices for...

  12. EV Everywhere: Electric Vehicle Benefits | Department of Energy

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

    Benefits EV Everywhere: Electric Vehicle Benefits EV Everywhere: Electric Vehicle Benefits Plug-in electric vehicles (also known as electric cars or EVs) are connected, fun, and practical. They can reduce emissions and even save you money. Fueling with electricity offers some advantages not available in conventional internal combustion engine vehicles. Because electric motors react quickly, EVs are very responsive and have very good torque. EVs are often more digitally connected than

  13. Building America Case Study: High Performance Ducts in Hot-Dry...

    Office of Scientific and Technical Information (OSTI)

    the conditioned thermal envelope. To support this activity, in 2013 the Pacific Gas & Electric Company initiated a project with Davis Energy Group (lead for the Building...

  14. Better Buildings Neighborhood Program

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Business Models Guide, October 27, 2011.

  15. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (English Version)

    SciTech Connect (OSTI)

    Zhou, Nan; Marnay, Chris; Firestone, Ryan; Gao, Weijun; Nishida, Masaru

    2004-10-15

    The August 2003 blackout of the northeastern U.S. and CANADA caused great economic losses and inconvenience to New York City and other affected areas. The blackout was a warning to the rest of the world that the ability of conventional power systems to meet growing electricity demand is questionable. Failure of large power systems can lead to serious emergencies. Introduction of on-site generation, renewable energy such as solar and wind power and the effective utilization of exhaust heat is needed, to meet the growing energy demands of the residential and commercial sectors. Additional benefit can be achieved by integrating these distributed technologies into distributed energy resource (DER) systems. This work demonstrates a method for choosing and designing economically optimal DER systems. An additional purpose of this research is to establish a database of energy tariffs, DER technology cost and performance characteristics, and building energy consumption for Japan. This research builds on prior DER studies at the Ernest Orlando Lawrence Berkeley National Laboratory (LBNL) and with their associates in the Consortium for Electric Reliability Technology Solutions (CERTS) and operation, including the development of the microgrid concept, and the DER selection optimization program, the Distributed Energy Resources Customer Adoption Model (DER-CAM). DER-CAM is a tool designed to find the optimal combination of installed equipment and an idealized operating schedule to minimize a site's energy bills, given performance and cost data on available DER technologies, utility tariffs, and site electrical and thermal loads over a test period, usually an historic year. Since hourly electric and thermal energy data are rarely available, they are typically developed by building simulation for each of six end use loads used to model the building: electric-only loads, space heating, space cooling, refrigeration, water heating, and natural-gas-only loads. DER-CAM provides a global optimization, albeit idealized, that shows how the necessary useful energy loads can be provided for at minimum cost by selection and operation of on-site generation, heat recovery, cooling, and efficiency improvements. This study examines five prototype commercial buildings and uses DER-CAM to select the economically optimal DER system for each. The five building types are office, hospital, hotel, retail, and sports facility. Each building type was considered for both 5,000 and 10,000 square meter floor sizes. The energy consumption of these building types is based on building energy simulation and published literature. Based on the optimization results, energy conservation and the emissions reduction were also evaluated. Furthermore, a comparison study between Japan and the U.S. has been conducted covering the policy, technology and the utility tariffs effects on DER systems installations. This study begins with an examination of existing DER research. Building energy loads were then generated through simulation (DOE-2) and scaled to match available load data in the literature. Energy tariffs in Japan and the U.S. were then compared: electricity prices did not differ significantly, while commercial gas prices in Japan are much higher than in the U.S. For smaller DER systems, the installation costs in Japan are more than twice those in the U.S., but this difference becomes smaller with larger systems. In Japan, DER systems are eligible for a 1/3 rebate of installation costs, while subsidies in the U.S. vary significantly by region and application. For 10,000 m{sup 2} buildings, significant decreases in fuel consumption, carbon emissions, and energy costs were seen in the economically optimal results. This was most noticeable in the sports facility, followed the hospital and hotel. This research demonstrates that office buildings can benefit from CHP, in contrast to popular opinion. For hospitals and sports facilities, the use of waste heat is particularly effective for water and space heating. For the other building types, waste heat is most effectively used for both heating and cooling. The same examination was done for the 5,000 m{sup 2} buildings. Although CHP installation capacity is smaller and the payback periods are longer, economic, fuel efficiency, and environmental benefits are still seen. While these benefits remain even when subsidies are removed, the increased installation costs lead to lower levels of installation capacity and thus benefit.

  16. Building a Greener, More Resilient Future in Washington State...

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

    and solar onto the electric grid. The aim is to support greater deployment of these technologies and build a grid that is more efficient, flexible and resilient to the effects of...

  17. Zero emission coal

    SciTech Connect (OSTI)

    Ziock, H.; Lackner, K.

    2000-08-01

    We discuss a novel, emission-free process for producing hydrogen or electricity from coal. Even though we focus on coal, the basic design is compatible with any carbonaceous fuel. The process uses cyclical carbonation of calcium oxide to promote the production of hydrogen from carbon and water. The carbonation of the calcium oxide removes carbon dioxide from the reaction products and provides the additional energy necessary to complete hydrogen production without additional combustion of carbon. The calcination of the resulting calcium carbonate is accomplished using the high temperature waste heat from solid oxide fuel cells (SOFC), which generate electricity from hydrogen fuel. Converting waste heat back to useful chemical energy allows the process to achieve very high conversion efficiency from fuel energy to electrical energy. As the process is essentially closed-loop, the process is able to achieve zero emissions if the concentrated exhaust stream of CO{sub 2} is sequestered. Carbon dioxide disposal is accomplished by the production of magnesium carbonate from ultramafic rock. The end products of the sequestration process are stable naturally occurring minerals. Sufficient rich ultramafic deposits exist to easily handle all the world's coal.

  18. Building America Top Innovations 2012: ENERGY STAR for Homes Support

    SciTech Connect (OSTI)

    none,

    2013-01-01

    This Building America Top Innovations profile describes Building Americas technical support to ENERGY STAR for Homes, which has labeled more than 1.3 million ENERGY STAR homes that have delivered $23 billion in energy cost savings and avoided 210 million tons of green-house emissions.

  19. Energy Efficient Buildings Hub

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

    Henry C. Foley April 3, 2013 Presentation at the U.S. DOE Building Technologies Office Peer Review Meeting Purpose and Objectives * Problem Statement - Building energy efficiency has not increased in recent decades compared to other sectors especially transportation - Building component technologies have become more energy efficient but buildings as a whole have not * Impact of Project - A 20% reduction in commercial building energy use could save the nation four quads of energy annually *

  20. Commercial Buildings Consortium

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

    Commercial Buildings Consortium Sandy Fazeli National Association of State Energy Officials sfazeli@naseo.org; 703-299-8800 ext. 17 April 2, 2013 Supporting Consortium for the U.S. Department of Energy Net-Zero Energy Commercial Buildings Initiative 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * Many energy savings opportunities in commercial buildings remain untapped, underserved by the conventional "invest-design-build- operate"