National Library of Energy BETA

Sample records for dioxide emission estimates

  1. Estimated Carbon Dioxide Emissions in 2008: United States

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-04-01

    Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary

  2. 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.

  3. 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

  4. Improving the Carbon Dioxide Emission Estimates from the Combustion of Fossil Fuels in California

    SciTech Connect (OSTI)

    de la Rue du Can, Stephane; Wenzel, Tom; Price, Lynn

    2008-08-13

    Central to any study of climate change is the development of an emission inventory that identifies and quantifies the State's primary anthropogenic sources and sinks of greenhouse gas (GHG) emissions. CO2 emissions from fossil fuel combustion accounted for 80 percent of California GHG emissions (CARB, 2007a). Even though these CO2 emissions are well characterized in the existing state inventory, there still exist significant sources of uncertainties regarding their accuracy. This report evaluates the CO2 emissions accounting based on the California Energy Balance database (CALEB) developed by Lawrence Berkeley National Laboratory (LBNL), in terms of what improvements are needed and where uncertainties lie. The estimated uncertainty for total CO2 emissions ranges between -21 and +37 million metric tons (Mt), or -6percent and +11percent of total CO2 emissions. The report also identifies where improvements are needed for the upcoming updates of CALEB. However, it is worth noting that the California Air Resources Board (CARB) GHG inventory did not use CALEB data for all combustion estimates. Therefore the range in uncertainty estimated in this report does not apply to the CARB's GHG inventory. As much as possible, additional data sources used by CARB in the development of its GHG inventory are summarized in this report for consideration in future updates to CALEB.

  5. Short-Term Energy Outlook Model Documentation: Carbon Dioxide (CO2) Emissions Model

    Reports and Publications (EIA)

    2009-01-01

    Description of the procedures for estimating carbon dioxide emissions in the Short-Term Energy Outlook

  6. A multiresolution spatial parametrization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions.

    SciTech Connect (OSTI)

    Ray, Jaideep; Lee, Jina; Lefantzi, Sophia; Yadav, Vineet; Michalak, Anna M.; van Bloemen Waanders, Bart Gustaaf; McKenna, Sean Andrew

    2013-04-01

    The estimation of fossil-fuel CO2 emissions (ffCO2) from limited ground-based and satellite measurements of CO2 concentrations will form a key component of the monitoring of treaties aimed at the abatement of greenhouse gas emissions. To that end, we construct a multiresolution spatial parametrization for fossil-fuel CO2 emissions (ffCO2), to be used in atmospheric inversions. Such a parametrization does not currently exist. The parametrization uses wavelets to accurately capture the multiscale, nonstationary nature of ffCO2 emissions and employs proxies of human habitation, e.g., images of lights at night and maps of built-up areas to reduce the dimensionality of the multiresolution parametrization. The parametrization is used in a synthetic data inversion to test its suitability for use in atmospheric inverse problem. This linear inverse problem is predicated on observations of ffCO2 concentrations collected at measurement towers. We adapt a convex optimization technique, commonly used in the reconstruction of compressively sensed images, to perform sparse reconstruction of the time-variant ffCO2 emission field. We also borrow concepts from compressive sensing to impose boundary conditions i.e., to limit ffCO2 emissions within an irregularly shaped region (the United States, in our case). We find that the optimization algorithm performs a data-driven sparsification of the spatial parametrization and retains only of those wavelets whose weights could be estimated from the observations. Further, our method for the imposition of boundary conditions leads to a 10computational saving over conventional means of doing so. We conclude with a discussion of the accuracy of the estimated emissions and the suitability of the spatial parametrization for use in inverse problems with a significant degree of regularization.

  7. Historical Sulfur Dioxide Emissions 1850-2000: Methods and Results

    SciTech Connect (OSTI)

    Smith, Steven J.; Andres, Robert; Conception , Elvira; Lurz, Joshua

    2004-01-25

    A global, self-consistent estimate of sulfur dioxide emissions over the last one and a half century were estimated by using a combination of bottom-up and best available inventory methods including all anthropogenic sources. We find that global sulfur dioxide emissions peaked about 1980 and have generally declined since this time. Emissions were extrapolated to a 1{sup o} x 1{sup o} grid for the time period 1850-2000 at annual resolution with two emission height levels and by season. Emissions are somewhat higher in the recent past in this new work as compared with some comprehensive estimates. This difference is largely due to our use of emissions factors that vary with time to account for sulfur removals from fossil fuels and industrial smelting processes.

  8. How the Carbon Emissions Were Estimated

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

    dioxide emissions are the main component of greenhouse gas emissions caused by human activity. Carbon dioxide is emitted mostly as a byproduct of the combustion of fossil fuels...

  9. Carbon Dioxide Emission Factors for Coal

    Reports and Publications (EIA)

    1994-01-01

    The Energy Information Administration (EIA) has developed factors for estimating the amount of carbon dioxide emitted, accounting for differences among coals, to reflect the changing "mix" of coal in U.S. coal consumption.

  10. Impact of Light-Duty Vehicle Emissions on 21st Century Carbon Dioxide Concentrations

    SciTech Connect (OSTI)

    Smith, Steven J.; Kyle, G. Page

    2007-08-04

    The impact of light-duty passenger vehicle emissions on global carbon dioxide concentrations was estimated using the MAGICC reduced-form climate model combined with the PNNL contribution to the CCSP scenarios product. Our central estimate is that tailpipe light duty vehicle emissions of carbon-dioxide over the 21st century will increase global carbon dioxide concentrations by slightly over 12 ppmv by 2100.

  11. Carbon Dioxide Emissions Associated with Bioenergy and Other...

    Open Energy Info (EERE)

    and Other Biogenic Sources Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Carbon Dioxide Emissions Associated with Bioenergy and Other Biogenic Sources AgencyCompany...

  12. U.S. Energy-Related Carbon Dioxide Emissions, 2014

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

    Related Carbon Dioxide Emissions, 2014 November 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 November 2015 U.S. Energy Information Administration | U.S. Energy-Related Carbon Dioxide Emissions, 2014 1 November 2015 U.S. Energy Information Administration | U.S. Energy-Related Carbon Dioxide Emissions, 2014 2 November 2015 U.S. Energy Information Administration | U.S. Energy-Related Carbon Dioxide Emissions, 2014 3 November 2015 U.S. Energy

  13. CarBen Version 3: Multisector Carbon Dioxide Emissions Accounting...

    Open Energy Info (EERE)

    Name: CarBen Version 3: Multisector Carbon Dioxide Emissions Accounting Tool Focus Area: Geothermal Power Topics: Policy, Deployment, & Program Impact Website: www.netl.doe.gov...

  14. Short-Term Energy Carbon Dioxide Emissions Forecasts August 2009

    Reports and Publications (EIA)

    2009-01-01

    Supplement to the Short-Term Energy Outlook. Short-term projections for U.S. carbon dioxide emissions of the three fossil fuels: coal, natural gas, and petroleum.

  15. U.S. Energy-Related Carbon Dioxide Emissions, 2013

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

    Energy-Related Carbon Dioxide Emissions, 2013 October 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 October 2014 U.S. Energy...

  16. Carbon Dioxide Emissions From Vegetation-Kill Zones Around The...

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Carbon Dioxide Emissions From Vegetation-Kill Zones Around The Resurgent Dome Of Long Valley...

  17. Fact #898: November 9, 2015 World Carbon Dioxide Emissions, 1990...

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

    World Carbon Dioxide Emissions, 1990-2012 Year United States Rest of North America Central & South America Europe Eurasia Middle East Africa India China Rest of Asia & Oceania 1990 ...

  18. Table 21. Total Energy Related Carbon Dioxide Emissions, Projected...

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

    Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual Projected (million metric tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 ...

  19. "Table 21. Total Energy Related Carbon Dioxide Emissions, Projected...

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

    Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual" "Projected" " (million metric tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,200...

  20. Table 5. Per capita energy-related carbon dioxide emissions by...

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

    Per capita energy-related carbon dioxide emissions by State (2000-2011)" "metric tons of carbon dioxide per person" ,,,"Change" ,,,"2000 to 2011"...

  1. Table 2. 2011 State energy-related carbon dioxide emissions by...

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

    2011 State energy-related carbon dioxide emissions by fuel " ,"million metric tons of carbon dioxide",,,,,"shares" "State","Coal","Petroleum","Natural Gas ","Total",,"Coal","Petrol...

  2. Table 3. 2011 State energy-related carbon dioxide emissions by...

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

    2011 State energy-related carbon dioxide emissions by sector " "million metric tons of carbon dioxide" "State","Commercial","Electric Power","Residential","Industrial","Transportat...

  3. Table 1. State energy-related carbon dioxide emissions by year...

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

    State energy-related carbon dioxide emissions by year (2000-2011)" "million metric tons of carbon dioxide" ,,,"Change" ,,,"2000 to 2011" "State",2000,2001,2002,...

  4. Table 11.2a Carbon Dioxide Emissions From Energy Consumption...

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

    a Carbon Dioxide Emissions From Energy Consumption: Residential Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Retail Electricity 5 ...

  5. Module: Estimating Historical Emissions from Deforestation |...

    Open Energy Info (EERE)

    Website: www.leafasia.orgtoolstechnical-guidance-series-estimating-historical Cost: Free Language: English Module: Estimating Historical Emissions from Deforestation Screenshot...

  6. Energy-Related Carbon Dioxide Emissions in U.S. Manufacturing

    Reports and Publications (EIA)

    2006-01-01

    Based on the Manufacturing Energy Consumption Survey (MECS) conducted by the U.S. Department of Energy, Energy Information Administration (EIA), this paper presents historical energy-related carbon dioxide emission estimates for energy-intensive sub-sectors and 23 industries. Estimates are based on surveys of more than 15,000 manufacturing plants in 1991, 1994, 1998, and 2002. EIA is currently developing its collection of manufacturing data for 2006.

  7. Options for reducing carbon dioxide emissions

    SciTech Connect (OSTI)

    Rosenfeld, A.H.; Price, L.

    1991-08-01

    Improvements in energy efficiency can significantly reduce the annual growth in greenhouse gas emissions. Such improvements occur when energy intensity is reduced; no reduction in energy services is required. Using the concept of cost of conserved energy'' to develop conservation supply curves similar to resource supply curves, researchers consistently find that electricity and natural gas savings of nearly 50% of current consumption are possible for US buildings. Such reductions in energy consumption directly reduce emissions of greenhouse gases. To capture these savings, we must continue to develop energy-efficient technologies and strategies. This paper describes three recent energy-efficient technologies that benefited from energy conservation research and development (R D) funding: high-frequency ballasts, compact fluorescent lamps, and low-emissivity windows. Other advanced technologies and strategies of spectrally selective windows, superwindows, electrochromic windows, advanced insulation, low-flow showerheads, improved recessed lamp fixtures, whitening surfaces and planting urban trees, daylighting, and thermal energy storage are also discussed. 33 refs., 9 figs., 3 tabs.

  8. Emissions Tool Estimates the Impact of Emissions on Smart Grid

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

    Infrastructure Investments | Department of Energy Emissions Tool Estimates the Impact of Emissions on Smart Grid Infrastructure Investments Emissions Tool Estimates the Impact of Emissions on Smart Grid Infrastructure Investments July 28, 2016 - 2:59pm Addthis In the face of extreme weather events, states, utilities, and other companies are increasingly seeking ways to boost resiliency while reducing their carbon footprint. The Emissions Quantification Tool (EQT), which was conceived of and

  9. Utilizing the market to control sulfur dioxide emissions

    SciTech Connect (OSTI)

    Loeher, C.F. III

    1995-12-01

    Environmental policy in the United States is evolving; command and control approaches are being slowly replaced with market-based incentives. Market-based regulation is favorable because it provides the regulated community with flexibility in choosing between pollution control options. A recent application of a market-based approach is Title IV of the 1990 Clean Air Act Amendments. This paper evaluates the advantages of utilizing market-based incentives to control sulfur dioxide emissions. The evaluation embodies an extensive methodology, which provides an overview of the policy governing air quality, discusses pollution control philosophies and analyzes their associated advantages and limitations. Further, it describes the development and operation of a market for emissions trading, impediments to the market, and recommends strategies to improve the market. The evaluation concludes by analyzing the results of five empirical simulations demonstrating the cost-effectiveness of employing market-based incentives versus command-and-control regulation for controlling sulfur dioxide emissions. The results of the evaluation indicate that regulatory barriers and market impediments have inhibited allowance trading. However, many of these obstacles have been or are being eliminated through Federal and state regulations, and through enhancement of the market. Results also demonstrate that sulfur dioxide allowance trading can obtain identical levels of environmental protection as command-and-control approaches while realizing cost savings to government and industry.

  10. 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.

  11. Fact #898: November 9, 2015 World Carbon Dioxide Emissions, 1990-2012 -

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

    Dataset | Department of Energy 8: November 9, 2015 World Carbon Dioxide Emissions, 1990-2012 - Dataset Fact #898: November 9, 2015 World Carbon Dioxide Emissions, 1990-2012 - Dataset Excel file and dataset for 2015 World Carbon Dioxide Emissions, 1990-2012 fotw#898_web.xlsx (25.25 KB) More Documents & Publications ESPC Project Performance: Supplemental Data Natural Gas Imports and Exports Third Quarter Report 2015 Financial and Activity Report - December 31, 2009

  12. Table 4. 2011 State energy-related carbon dioxide emission shares...

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

    2011 State energy-related carbon dioxide emission shares by sector " "percent of total" ,"shares" "State","Commercial","Electric Power","Residential","Industrial","Transportation"...

  13. The costs of different energy taxes for stabilizing U. S. carbon dioxide emissions: An application of the Gemini model

    SciTech Connect (OSTI)

    Leary, N.A.; Scheraga, J.D. . Climate Change Div.)

    1993-09-01

    In the absence of policies to mitigate emissions of carbon dioxide, US emissions will grow substantially over the period 1990 to 2030. One option for mitigation of carbon dioxide emissions is to tax energy use. For example, fossil energy might be taxed according to its carbon content, heating value, or market value. Using a partial equilibrium model of US energy markets that combines detailed representation of technological processes with optimizing behavior by energy users and suppliers, the authors compare the costs of using carbon, Btu, and ad valorem taxes as instruments to implement a policy of emission stabilization. The authors also examine the differential impacts of these taxes on the mix of primary energy consumed in the US. The carbon tax induces the substitution of renewables and natural gas for coal and stabilizes carbon dioxide emissions at an estimated annual cost of $125 billion. The Btu tax induces the substitution of renewables for coal, but does not encourage the use of natural gas. The estimated cost of stabilization with the Btu tax is $210 billion per year. The ad valorem tax, like the Btu tax, does not encourage the substitution of natural gas for coal. It also causes a significant shift away from oil in comparison to the carbon tax. The cost of stabilizing emissions with the ad valorem tax is estimated at $450 billion per year.

  14. Emissions Tool Estimates the Impact of Emissions on Smart Grid...

    Energy Savers [EERE]

    The free, web-based calculator aims to estimate the impact of NOx, SO2 and CO2 emissions on smart grid infrastructure investments, taking into account specific context and project ...

  15. Sulfur dioxide emissions from primary copper smelters in the western US

    SciTech Connect (OSTI)

    Mangeng, C.A.; Mead, R.W.

    1980-01-01

    The body of information presented is directed to environmental scientists and policy makers without chemical or metallurgical engineering backgrounds. This paper addresses the problems of reducing sulfur dioxide emissions from primary copper smelters in the western United States and projects the future impact of emissions within a framework of legal, technological, and economic considerations. Methodology used to calculate historical sulfur dioxide emissions is described. Sulfur dioxide emission regulations are outlined as they apply to primary copper smelters. A discussion of available sulfur dioxide control technology and copper smelting processes summarizes the technological and economic problems of reducing copper smelter emissions. Based upon these technological and economic considerations, projections of smelter emissions indicate that compliance with existing legislative requirements will be achieved by 1990. Three smelters are projected to close by 1985.

  16. A synthesis of carbon dioxide emissions from fossil-fuel combustion

    SciTech Connect (OSTI)

    Andres, Robert Joseph; Boden, Thomas A; Breon, F.-M.; Erickson, D; Gregg, J. S.; Jacobson, Andrew; Marland, Gregg; Miller, J.; Oda, T; Raupach, Michael; Rayner, P; Treanton, K.

    2012-01-01

    This synthesis discusses the emissions of carbon dioxide from fossil-fuel combustion and cement production. While much is known about these emissions, there is still much that is unknown about the details surrounding these emissions. This synthesis explores 5 our knowledge of these emissions in terms of why there is concern about them; how they are calculated; the major global efforts on inventorying them; their global, regional, and national totals at different spatial and temporal scales; how they are distributed on global grids (i.e. maps); how they are transported in models; and the uncertainties associated with these different aspects of the emissions. The magnitude of emissions 10 from the combustion of fossil fuels has been almost continuously increasing with time since fossil fuels were first used by humans. Despite events in some nations specifically designed to reduce emissions, or which have had emissions reduction as a byproduct of other events, global total emissions continue their general increase with time. Global total fossil-fuel carbon dioxide emissions are known to within 10% uncertainty (95% 15 confidence interval). Uncertainty on individual national total fossil-fuel carbon dioxide emissions range from a few percent to more than 50 %. The information discussed in this manuscript synthesizes global, regional and national fossil-fuel carbon dioxide emissions, their distributions, their transport, and the associated uncertainties.

  17. Table 8 U.S. Carbon Dioxide Emissions from Residential Sector...

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

    U.S. Carbon Dioxide Emissions from Residential Sector Energy Consumption, 1990-2009" " (Million Metric Tons of Carbon Diioxide)" ,,1990,1991,1992,1993,1994,1995,1996,1997,1998,199...

  18. Current emission trends for nitrogen oxides, sulfur dioxide, and volatile organic compounds by month and state: Methodology and results

    SciTech Connect (OSTI)

    Kohout, E.J.; Miller, D.J.; Nieves, L.A.; Rothman, D.S.; Saricks, C.L.; Stodolsky, F.; Hanson, D.A.

    1990-08-01

    This report presents estimates of monthly sulfur dioxide (SO{sub 2}), nitrogen oxides (NO{sub x}), and nonmethane voltatile organic compound (VOC) emissions by sector, region, and state in the contiguous United States for the years 1975 through 1988. This work has been funded as part of the National Acid Precipitation Assessment Program`s Emissions and Controls Task Group by the US Department of Energy (DOE) Office of Fossil Energy (FE). The DOE project officer is Edward C. Trexler, DOE/FE Office of Planning and Environment.

  19. Current emission trends for nitrogen oxides, sulfur dioxide, and volatile organic compounds by month and state: Methodology and results

    SciTech Connect (OSTI)

    Kohout, E.J.; Miller, D.J.; Nieves, L.A.; Rothman, D.S.; Saricks, C.L.; Stodolsky, F.; Hanson, D.A.

    1990-08-01

    This report presents estimates of monthly sulfur dioxide (SO{sub 2}), nitrogen oxides (NO{sub x}), and nonmethane voltatile organic compound (VOC) emissions by sector, region, and state in the contiguous United States for the years 1975 through 1988. This work has been funded as part of the National Acid Precipitation Assessment Program's Emissions and Controls Task Group by the US Department of Energy (DOE) Office of Fossil Energy (FE). The DOE project officer is Edward C. Trexler, DOE/FE Office of Planning and Environment.

  20. Further Sensitivity Analysis of Hypothetical Policies to Limit Energy-Related Carbon Dioxide Emissions

    Reports and Publications (EIA)

    2013-01-01

    This analysis supplements the Annual Energy Outlook 2013 alternative cases which imposed hypothetical carbon dioxide emission fees on fossil fuel consumers. It offers further cases that examine the impacts of fees placed only on the emissions from electric power facilities, impacts of returning potential revenues to consumers, and two cap-and-trade policies.

  1. Estimating global and North American methane emissions with high...

    Office of Scientific and Technical Information (OSTI)

    methane emissions with high spatial resolution using GOSAT satellite data Citation Details In-Document Search Title: Estimating global and North American methane emissions ...

  2. Estimating the Impact (Energy, Emissions and Economics) of the...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry Citation Details In-Document Search Title: Estimating the Impact (Energy, ...

  3. Energy use and carbon dioxide emissions in the steel sector in key developing countries

    SciTech Connect (OSTI)

    Price, L.K.; Phylipsen, G.J.M.; Worrell, E.

    2001-04-01

    Iron and steel production consumes enormous quantities of energy, especially in developing countries where outdated, inefficient technologies are still used to produce iron and steel. Carbon dioxide emissions from steel production, which range between 5 and 15% of total country emissions in key developing countries (Brazil, China, India, Mexico, and South Africa), will continue to grow as these countries develop and as demand for steel products such as materials, automobiles, and appliances increases. In this report, we describe the key steel processes, discuss typical energy-intensity values for these processes, review historical trends in iron and steel production by process in five key developing countries, describe the steel industry in each of the five key developing countries, present international comparisons of energy use and carbon dioxide emissions among these countries, and provide our assessment of the technical potential to reduce these emissions based on best-practice benchmarking. Using a best practice benchmark, we find that significant savings, in the range of 33% to 49% of total primary energy used to produce steel, are technically possible in these countries. Similarly, we find that the technical potential for reducing intensities of carbon dioxide emissions ranges between 26% and 49% of total carbon dioxide emissions from steel production in these countries.

  4. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013 October 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013 i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are

  5. Methane and carbon dioxide emissions from 40 lakes along a north–south latitudinal transect in Alaska

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

    Sepulveda-Jauregui, A.; Walter Anthony, K. M.; Martinez-Cruz, K.; Greene, S.; Thalasso, F.

    2014-09-12

    Uncertainties in the magnitude and seasonality of various gas emission modes, particularly among different lake types, limit our ability to estimate methane (CH4) and carbon dioxide (CO2) emissions from northern lakes. Here we assessed the relationship between CH4 and CO2 emission modes in 40 lakes along a latitudinal transect in Alaska to physicochemical limnology and geographic characteristics, including permafrost soil type surrounding lakes. Emission modes included Direct Ebullition, Diffusion, Storage flux, and a newly identified Ice-Bubble Storage (IBS) flux. We found that all lakes were net sources of atmospheric CH4 and CO2, but the climate warming impact of lake CH4more » emissions was two times higher than that of CO2. Ebullition and Diffusion were the dominant modes of CH4 and CO2 emissions respectively. IBS, ~ 10% of total annual CH4 emissions, is the release to the atmosphere of seasonally ice-trapped bubbles when lake ice confining bubbles begins to melt in spring. IBS, which has not been explicitly accounted for in regional studies, increased the estimate of springtime emissions from our study lakes by 320%. Geographically, CH4 emissions from stratified, dystrophic interior Alaska thermokarst (thaw) lakes formed in icy, organic-rich yedoma permafrost soils were 6-fold higher than from non-yedoma lakes throughout the rest of Alaska. Total CH4 emission was correlated with concentrations of phosphate and total nitrogen in lake water, Secchi depth and lake area, with yedoma lakes having higher nutrient concentrations, shallower Secchi depth, and smaller lake areas. Our findings suggest that permafrost type plays important roles in determining CH4 emissions from lakes by both supplying organic matter to methanogenesis directly from thawing permafrost and by enhancing nutrient availability to primary production, which can also fuel decomposition and methanogenesis.« less

  6. Carbon Dioxide and Helium Emissions from a Reservoir of Magmatic...

    Open Energy Info (EERE)

    in eastern California. The gas is released mainly as diffuse emissions from normal-temperature soils, but some gas issues from steam vents or leaves the mountain dissolved...

  7. Fast-regenerable sulfur dioxide adsorbents for diesel engine emission control

    DOE Patents [OSTI]

    Li, Liyu [Richland, WA; King, David L [Richland, WA

    2011-03-15

    Disclosed herein are sorbents and devices for controlling sulfur oxides emissions as well as systems including such sorbents and devices. Also disclosed are methods for making and using the disclosed sorbents, devices and systems. In one embodiment the disclosed sorbents can be conveniently regenerated, such as under normal exhaust stream from a combustion engine, particularly a diesel engine. Accordingly, also disclosed are combustion vehicles equipped with sulfur dioxide emission control devices.

  8. Fossil Fuel Carbon Dioxide Emissions Data and Data Plots from Project Vulcan

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

    Gurney, Kevin

    The Vulcan Project is a NASA/DOE funded effort under the North American Carbon Program (NACP) to quantify North American fossil fuel carbon dioxide (CO2) emissions at space and time scales much finer than has been achieved in the past. The purpose is to aid in quantification of the North American carbon budget, to support inverse estimation of carbon sources and sinks, and to support the demands posed by higher resolution CO2 observations (in situ and remotely sensed). The detail and scope of the Vulcan CO2 inventory has also made it a valuable tool for policymakers, demographers, social scientists and the public at large. The Vulcan project has achieved the quantification of the 2002 U.S. fossil fuel CO2 emissions at the scale of individual factories, powerplants, roadways and neighborhoods on an hourly basis. The entire inventory was built on a common 10 km x 10 km grid to facilitate atmospheric modeling. In addition to improvement in space and time resolution, Vulcan is quantified at the level of fuel type, economic sub-sector, and county/state identification. Explore the Vulcan website for the Vulcan gridded data, methodological details, publications, plots and analysis.[Taken from "About Project Vulcan" at http://www.purdue.edu/eas/carbon/vulcan/index.php]Also, see the peer-reviewed paper that provides a "core" description for this project: Gurney, K.R., D. Mendoza, Y. Zhou, M Fischer, S. de la Rue du Can, S. Geethakumar, C. Miller (2009) The Vulcan Project: High resolution fossil fuel combustion CO2 emissions fluxes for the United States, Environ. Sci. Technol., 43, doi:10.1021/es900,806c.

  9. 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.

  10. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

    Reports and Publications (EIA)

    2015-01-01

    This analysis examines some of the factors that influence state-level carbon dioxide emissions from the consumption of fossil fuels. These factors include: the fuel mix — especially in the generation of electricity; the state climate; the population density of the state; the industrial makeup of the state and whether the state is a net exporter or importer of electricity.

  11. 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.

  12. Outstanding field emission properties of wet-processed titanium dioxide coated carbon nanotube based field emission devices

    SciTech Connect (OSTI)

    Xu, Jinzhuo; Ou-Yang, Wei Chen, Xiaohong; Guo, Pingsheng; Piao, Xianqing; Sun, Zhuo; Xu, Peng; Wang, Miao; Li, Jun

    2015-02-16

    Field emission devices using a wet-processed composite cathode of carbon nanotube films coated with titanium dioxide exhibit outstanding field emission characteristics, including ultralow turn on field of 0.383 V μm{sup −1} and threshold field of 0.657 V μm{sup −1} corresponding with a very high field enhancement factor of 20 000, exceptional current stability, and excellent emission uniformity. The improved field emission properties are attributed to the enhanced edge effect simultaneously with the reduced screening effect, and the lowered work function of the composite cathode. In addition, the highly stable electron emission is found due to the presence of titanium dioxide nanoparticles on the carbon nanotubes, which prohibits the cathode from the influence of ions and free radical created in the emission process as well as residual oxygen gas in the device. The high-performance solution-processed composite cathode demonstrates great potential application in vacuum electronic devices.

  13. Estimating Bacteria Emissions from Inversion of Atmospheric Transport...

    Office of Scientific and Technical Information (OSTI)

    Bacteria Emissions from Inversion of Atmospheric Transport: Sensitivity to Modelled Particle Characteristics Citation Details In-Document Search Title: Estimating Bacteria ...

  14. Methane and carbon dioxide emissions from 40 lakes along a north–south latitudinal transect in Alaska

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

    Sepulveda-Jauregui, A.; Walter Anthony, K. M.; Martinez-Cruz, K.; Greene, S.; Thalasso, F.

    2015-06-02

    Uncertainties in the magnitude and seasonality of various gas emission modes, particularly among different lake types, limit our ability to estimate methane (CH4) and carbon dioxide (CO2) emissions from northern lakes. Here we assessed the relationship between CH4 and CO2 emission modes in 40 lakes along a latitudinal transect in Alaska to lakes' physicochemical properties and geographic characteristics, including permafrost soil type surrounding lakes. Emission modes included direct ebullition, diffusion, storage flux, and a newly identified ice-bubble storage (IBS) flux. We found that all lakes were net sources of atmospheric CH4 and CO2, but the climate warming impact of lakemore » CH4 emissions was 2 times higher than that of CO2. Ebullition and diffusion were the dominant modes of CH4 and CO2 emissions, respectively. IBS, ~10% of total annual CH4 emissions, is the release to the atmosphere of seasonally ice-trapped bubbles when lake ice confining bubbles begins to melt in spring. IBS, which has not been explicitly accounted for in regional studies, increased the estimate of springtime emissions from our study lakes by 320%. Geographically, CH4 emissions from stratified, mixotrophic interior Alaska thermokarst (thaw) lakes formed in icy, organic-rich yedoma permafrost soils were 6-fold higher than from non-yedoma lakes throughout the rest of Alaska. The relationship between CO2 emissions and geographic parameters was weak, suggesting high variability among sources and sinks that regulate CO2 emissions (e.g., catchment waters, pH equilibrium). Total CH4 emission was correlated with concentrations of soluble reactive phosphorus and total nitrogen in lake water, Secchi depth, and lake area, with yedoma lakes having higher nutrient concentrations, shallower Secchi depth, and smaller lake areas. Our findings suggest that permafrost type plays important roles in determining CH4 emissions from lakes by both supplying organic matter to methanogenesis directly from

  15. Accounting for Carbon Dioxide Emissions from Biomass Energy Combustion (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01

    Carbon Dioxide (CO2) emissions from the combustion of biomass to produce energy are excluded from the energy-related CO2 emissions reported in Annual Energy Outlook 2010. According to current international convention, carbon released through biomass combustion is excluded from reported energy-related emissions. The release of carbon from biomass combustion is assumed to be balanced by the uptake of carbon when the feedstock is grown, resulting in zero net emissions over some period of time]. However, analysts have debated whether increased use of biomass energy may result in a decline in terrestrial carbon stocks, leading to a net positive release of carbon rather than the zero net release assumed by its exclusion from reported energy-related emissions.

  16. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Alabama" "Emission type", 2014, 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",123615,113429,135133,186320,213725,288261,368728,466093,474527,472326,424044,468920,460025,479716,532836,567267,598960,591936,609416,554692,537679,573035,537827,532016,534873 "Natural

  17. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    California" "Emission type", 2014, 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",1231,659,1067,2192,1784,1685,1521,3276,3458,3317,2740,2961,2100,5191,31138,26808,28804,28716,30315,28932,27401,36452,38256,34966,35118 "Natural

  18. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Florida" "Emission type", 2014, 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",99931,90222,83823,91500,119354,176269,216052,211528,216609,226357,259650,264498,286311,297404,417500,460041,508105,512033,464520,430505,458841,468879,540689,522031,480864 "Natural

  19. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Georgia" "Emission type", 2014, 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",70007,90671,111585,201596,232586,271800,530275,680050,682504,642737,577847,569995,545792,527893,537663,539691,547446,536134,498669,508871,581609,714951,793006,802209,887372 "Natural

  20. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Illinois" "Emission type", 2014, 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",187419,203816,190049,228280,255068,261594,379321,332295,339864,386689,422783,406276,405000,442941,533290,806603,915074,927928,828237,722001,838330,856101,888651,883212,931708 "Natural

  1. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Indiana" "Emission type", 2014, 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",296237,272707,285211,381921,423894,422362,611096,728833,834982,883283,876816,817139,788519,806646,901203,970849,1004788,1031517,985754,929710,1254199,1273057,1252700,1466280,1403502 "Natural

  2. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Kentucky" "Emission type", 2014, 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",199709,185073,183247,241651,265949,247826,338318,370877,418872,490422,507490,522200,471904,535303,584707,658445,624913,669016,642197,676214,895584,983464,893411,871431,902063 "Natural

  3. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Louisiana" "Emission type", 2014, 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",63526,68216,73702,75879,71513,64087,68625,71467,89748,90139,96242,95639,97918,95986,101453,112255,109681,117039,94470,97854,126282,117281,110572,107938,99934 "Natural

  4. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Massachusetts" "Emission type", 2014, 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",3229,10397,11717,23520,37512,33573,42205,42039,39260,47569,45178,52634,58508,60644,69422,70840,70629,78943,69863,78900,70225,77311,93718,104570,100041 "Natural

  5. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Michigan" "Emission type", 2014, 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",156939,200702,203862,230553,252712,294302,362921,358465,346823,362690,354593,369039,358670,370730,396468,406682,453444,439598,409709,388720,425868,392676,374114,405484,400043 "Natural

  6. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Mississippi" "Emission type", 2014, 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",90609,77393,37116,43057,54267,40125,65730,67796,75871,66365,68531,68116,66065,69615,88588,78278,78763,76762,94981,82425,77122,89686,94690,97996,106348 "Natural

  7. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Missouri" "Emission type", 2014, 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",149428,157176,149531,208591,255793,258025,278644,276798,279119,293134,292645,280869,247379,239803,214011,264723,301916,318865,368301,348474,537257,481519,683418,746419,794530 "Natural

  8. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    York" "Emission type", 2014, 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",21804,21923,26957,48632,56528,51264,75552,102252,110055,133084,174467,205767,213903,217822,245827,243631,282135,265797,169786,235651,245005,257386,300430,290808,298461 "Natural

  9. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Ohio" "Emission type", 2014, 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",328298,314945,360893,649158,643705,664660,760207,1022707,1037604,1157246,1150521,1250636,1193241,1191814,1258662,1318060,1426879,1462973,1485827,1209189,2085965,2172699,2204132,2247165,2213291 "Natural

  10. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Oklahoma" "Emission type", 2014, 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",74880,76673,78406,95907,89405,100412,108043,108024,114991,112210,108869,117506,115993,110039,102417,110454,109339,116982,114705,122615,106452,118616,118121,113826,109400 "Natural

  11. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Pennsylvania" "Emission type", 2014, 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",280590,262221,259319,338397,419602,635141,851401,958827,903023,1096135,996972,979095,949261,1041860,1113082,1049810,1118338,1159444,1158512,1191338,1209571,1240828,1266369,1269116,1288932 "Natural

  12. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Carolina" "Emission type", 2014, 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",30379,35219,54683,80578,104316,104355,165245,177379,226662,226553,228180,216716,210658,216996,215214,230523,223531,207801,218040,191445,205896,195251,171280,177034,182269 "Natural

  13. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Texas" "Emission type", 2014, 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",334864,364291,337533,430430,458950,448084,480396,494970,576589,592090,585566,632119,612135,581623,594287,721440,716364,718321,683539,636769,563557,619731,562293,544624,534050 "Natural

  14. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Virginia" "Emission type", 2014, 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",55972,56438,49857,83949,117386,111860,136911,189547,190542,223296,200877,220539,279910,231117,277674,289507,268063,278805,263005,276636,220087,238627,227184,226261,213816 "Natural

  15. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    West Virginia" "Emission type", 2014, 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",102380,93865,91218,107963,116023,184338,315497,388675,470639,483344,492024,558143,526538,681326,625874,713793,695681,701570,694797,630859,1091442,1045752,1102087,1068857,965899 "Natural

  16. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    United States" "Emission type", 2014, 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",3425770,3537968,3625314,4890928,5468885,6100901,8103586,9247549,9774485,10470741,10402086,10679025,10787045,10918087,11761081,12624901,13241327,13459993,13019310,12332252,14768599,15258782,15498937,15696398,15741783 "Natural

  17. sparse-msrf:A package for sparse modeling and estimation of fossil-fuel CO2 emission fields

    SciTech Connect (OSTI)

    2014-10-06

    The software is used to fit models of emission fields (e.g., fossil-fuel CO2 emissions) to sparse measurements of gaseous concentrations. Its primary aim is to provide an implementation and a demonstration for the algorithms and models developed in J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", accepted, Geoscientific Model Development, 2014. The software can be used to estimate emissions of non-reactive gases such as fossil-fuel CO2, methane etc. The software uses a proxy of the emission field being estimated (e.g., for fossil-fuel CO2, a population density map is a good proxy) to construct a wavelet model for the emission field. It then uses a shrinkage regression algorithm called Stagewise Orthogonal Matching Pursuit (StOMP) to fit the wavelet model to concentration measurements, using an atmospheric transport model to relate emission and concentration fields. Algorithmic novelties described in the paper above (1) ensure that the estimated emission fields are non-negative, (2) allow the use of guesses for emission fields to accelerate the estimation processes and (3) ensure that under/overestimates in the guesses do not skew the estimation.

  18. sparse-msrf:A package for sparse modeling and estimation of fossil-fuel CO2 emission fields

    Energy Science and Technology Software Center (OSTI)

    2014-10-06

    The software is used to fit models of emission fields (e.g., fossil-fuel CO2 emissions) to sparse measurements of gaseous concentrations. Its primary aim is to provide an implementation and a demonstration for the algorithms and models developed in J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", accepted, Geoscientific Model Development, 2014. The softwaremore » can be used to estimate emissions of non-reactive gases such as fossil-fuel CO2, methane etc. The software uses a proxy of the emission field being estimated (e.g., for fossil-fuel CO2, a population density map is a good proxy) to construct a wavelet model for the emission field. It then uses a shrinkage regression algorithm called Stagewise Orthogonal Matching Pursuit (StOMP) to fit the wavelet model to concentration measurements, using an atmospheric transport model to relate emission and concentration fields. Algorithmic novelties described in the paper above (1) ensure that the estimated emission fields are non-negative, (2) allow the use of guesses for emission fields to accelerate the estimation processes and (3) ensure that under/overestimates in the guesses do not skew the estimation.« less

  19. Atmospheric Inverse Estimates of Methane Emissions from Central California

    SciTech Connect (OSTI)

    Zhao, Chuanfeng; Andrews, Arlyn E.; Bianco, Laura; Eluszkiewicz, Janusz; Hirsch, Adam; MacDonald, Clinton; Nehrkorn, Thomas; Fischer, Marc L.

    2008-11-21

    Methane mixing ratios measured at a tall-tower are compared to model predictions to estimate surface emissions of CH{sub 4} in Central California for October-December 2007 using an inverse technique. Predicted CH{sub 4} mixing ratios are calculated based on spatially resolved a priori CH{sub 4} emissions and simulated atmospheric trajectories. The atmospheric trajectories, along with surface footprints, are computed using the Weather Research and Forecast (WRF) coupled to the Stochastic Time-Inverted Lagrangian Transport (STILT) model. An uncertainty analysis is performed to provide quantitative uncertainties in estimated CH{sub 4} emissions. Three inverse model estimates of CH{sub 4} emissions are reported. First, linear regressions of modeled and measured CH{sub 4} mixing ratios obtain slopes of 0.73 {+-} 0.11 and 1.09 {+-} 0.14 using California specific and Edgar 3.2 emission maps respectively, suggesting that actual CH{sub 4} emissions were about 37 {+-} 21% higher than California specific inventory estimates. Second, a Bayesian 'source' analysis suggests that livestock emissions are 63 {+-} 22% higher than the a priori estimates. Third, a Bayesian 'region' analysis is carried out for CH{sub 4} emissions from 13 sub-regions, which shows that inventory CH{sub 4} emissions from the Central Valley are underestimated and uncertainties in CH{sub 4} emissions are reduced for sub-regions near the tower site, yielding best estimates of flux from those regions consistent with 'source' analysis results. The uncertainty reductions for regions near the tower indicate that a regional network of measurements will be necessary to provide accurate estimates of surface CH{sub 4} emissions for multiple regions.

  20. Table 11.1 Carbon Dioxide Emissions From Energy Consumption by Source, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    Carbon Dioxide Emissions From Energy Consumption by Source, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal 3 Natural Gas 4 Petroleum Total 2,9 Biomass 2 Aviation Gasoline Distillate Fuel Oil 5 Jet Fuel Kero- sene LPG 6 Lubri- cants Motor Gasoline 7 Petroleum Coke Residual Fuel Oil Other 8 Total Wood 10 Waste 11 Fuel Ethanol 12 Bio- diesel Total 1949 1,118 270 12 140 NA 42 13 7 329 8 244 25 820 2,207 145 NA NA NA 145 1950 1,152 313 14 168 NA 48 16 9 357 8 273 26 918 2,382 147 NA NA

  1. Table 11.2c Carbon Dioxide Emissions From Energy Consumption: Industrial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    c Carbon Dioxide Emissions From Energy Consumption: Industrial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Coal Coke Net Imports Natural Gas 3 Petroleum Retail Elec- tricity 8 Total 2 Biomass 2 Distillate Fuel Oil 4 Kero- sene LPG 5 Lubri- cants Motor Gasoline 6 Petroleum Coke Residual Fuel Oil Other 7 Total Wood 9 Waste 10 Fuel Ethanol 11 Total 1949 500 -1 166 41 18 3 3 16 8 95 25 209 120 995 44 NA NA 44 1950 531 (s) 184 51 20 4 3 18 8 110 26 239 140 1,095 50 NA NA 50

  2. Table 11.2d Carbon Dioxide Emissions From Energy Consumption: Transportation Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    d Carbon Dioxide Emissions From Energy Consumption: Transportation Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Retail Elec- tricity 7 Total 2 Biomass 2 Aviation Gasoline Distillate Fuel Oil 4 Jet Fuel LPG 5 Lubricants Motor Gasoline 6 Residual Fuel Oil Total Fuel Ethanol 8 Biodiesel Total 1949 161 NA 12 30 NA (s) 4 306 91 443 6 611 NA NA NA 1950 146 7 14 35 NA (s) 5 332 95 481 6 640 NA NA NA 1951 129 11 18 42 NA (s) 6 360 102 529 7 675 NA NA NA

  3. Inventory of Carbon Dioxide (CO2) Emissions at Pacific Northwest National Laboratory

    SciTech Connect (OSTI)

    Judd, Kathleen S.; Kora, Angela R.; Shankle, Steve A.; Fowler, Kimberly M.

    2009-06-29

    The Carbon Management Strategic Initiative (CMSI) is a lab-wide initiative to position the Pacific Northwest National Laboratory (PNNL) as a leader in science, technology and policy analysis required to understand, mitigate and adapt to global climate change as a nation. As part of an effort to walk the talk in the field of carbon management, PNNL conducted its first carbon dioxide (CO2) emissions inventory for the 2007 calendar year. The goal of this preliminary inventory is to provide PNNL staff and management with a sense for the relative impact different activities at PNNL have on the labs total carbon footprint.

  4. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Arkansas" "Emission type", 2014, 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",75942,74612,77622,73584,67035,68211,73160,71833,72868,65726,78479,71176,70031,74549,76060,78823,77315,86718,97033,84291,72229,66566,70208,70953,73346 "Natural gas",24,32,43,31,32,28,24,20,22,26,21,32,23,11,21,21,18,18,15,67,17,17,18,17,17

  5. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Alaska" "Emission type", 2014, 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",2678,2913,2945,2496,2411,2528,2657,2436,2377,2224,2352,2003,4545,4179,12561,8368,14490,13929,13523,14632,10598,10080,10152,10210,15458 "Natural gas",13,10,10,11,11,11,12,11,15,13,15,9,10,10,13,11,13,11,11,9,12,12,10,12,12

  6. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Arizona" "Emission type", 2014, 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",22489,23613,21336,32674,36693,36140,48338,56547,49229,52823,60439,69394,70766,72877,74807,78901,105738,130165,124044,124899,142176,134872,131544,129444,125036 "Natural gas",74,79,70,55,67,80,83,86,73,64,79,58,51,58,36,17,17,9,3,7,8,6,10,6,7

  7. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Colorado" "Emission type", 2014, 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",28407,39974,42818,46853,49433,47566,60452,64793,64512,63888,64999,77596,91396,93908,90489,93098,100573,101386,94727,96615,107836,99745,101864,98418,102580 "Natural gas",26,27,26,25,26,31,33,35,32,30,26,24,21,24,17,12,11,11,9,11,6,2,1,1,1

  8. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Connecticut" "Emission type", 2014, 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",908,770,7247,503,1311,1313,3007,2737,2879,2816,2847,3419,5880,12228,21148,826,6824,12175,11335,11392,9645,9330,10225,11777,12265 "Natural gas",29,29,34,32,28,19,15,19,23,17,13,9,20,9,10,8,7,6,2,4,6,3,3,4,4

  9. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    District of Columbia" "Emission type", 2014, 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," "," "," "," "," "," "," "," "," "," "," "," "," "," "," ","

  10. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Hawaii" "Emission type", 2014, 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",792,2209,1435,1287,1387,1663,1680,1060,1015,1274,1572,1475,2154,1433,12585,3354,4019,4820,4805,4357,3617,3211,2070,278,86 "Natural gas",403,373,325,426,95,121,93,89,89,110,122,127,106,76,902,582,579,537,455,588,53,50,52,51,49

  11. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Idaho" "Emission type", 2014, 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",2094,3029,2301,1616,3801,1603,3358,4111,1689,1787,4238,3737,3116,987,2999,3506,3816,3005,3148,3177,5267,6079,6088,2978,6107 "Natural gas",6,8,4,2,3,2,3,3,2,2,3,3,1,2,2,2,2,2,1,1,2,2,1,1,1

  12. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Iowa" "Emission type", 2014, 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",72805,92466,103353,107646,114216,99306,163998,147940,144691,148303,148788,152375,147800,153599,171226,170930,190205,168878,170396,182534,198945,218025,209712,224123,201125 "Natural gas",11,10,11,6,6,2,4,3,3,2,7,1,2,3,3,3,4,6,4,3,3,3,2,1,1

  13. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Kansas" "Emission type", 2014, 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",31498,29975,32930,39191,44555,50230,93495,112481,108414,123188,114657,131419,124338,113912,112947,115880,117443,108221,116046,99115,71337,70094,65762,76140,85243 "Natural gas",4,6,17,6,7,6,6,2,2,2,1,2,3,4,2,64,4,1,2,6,6,4,3,10,7

  14. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Maine" "Emission type", 2014, 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",559,540,292,401,546,476,1538,2006,2016,1840,1726,1423,1117,1593,6269,2349,2978,4015,3934,4090,4323,4505,4521,4465,5574 "Natural gas",8,8,11,13,14,14,13,13,12,15,20,22,23,22,7,0,0,0,0,0,0,0,0,0,0

  15. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Maryland" "Emission type", 2014, 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",36332,37512,40857,51044,47095,214124,244867,278286,282500,284301,287448,272978,265412,259499,262294,261255,272677,254326,251603,229197,233251,251845,243295,238056,265492 "Natural gas",12,12,40,17,4,6,6,4,4,4,3,8,4,3,3,3,2,2,2,2,7,3,4,6,6

  16. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Minnesota" "Emission type", 2014, 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",34022,30926,31068,52422,57174,66187,83399,85598,88204,89899,95334,91757,91775,77334,102028,108278,104657,109711,101136,97511,129370,125407,106236,90988,105228 "Natural gas",7,15,18,9,11,31,14,7,4,6,4,3,3,3,4,3,3,1,1,1,3,2,3,3,1

  17. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Montana" "Emission type", 2014, 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",14254,16726,13490,16901,20469,20711,19989,22596,19849,19767,20971,17185,19797,30725,23733,25315,24694,22706,20068,36432,20996,20385,22070,20386,17702 "Natural gas",0,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,1,1

  18. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Nebraska" "Emission type", 2014, 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",63940,66824,63689,74955,71501,77133,76598,69205,71725,73730,74657,69360,68130,70701,60647,61435,58084,62785,65736,61065,56657,60780,53652,53558,51742 "Natural gas",0,0,2,0,0,0,1,1,6,3,0,0,0,2,0,0,0,0,0,1,0,0,0,1,1

  19. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Nevada" "Emission type", 2014, 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",10164,7366,4640,5225,7841,7856,9315,8488,9169,53291,54356,51433,49197,49926,52960,48612,49659,50086,52898,50190,52644,52075,56550,54099,53261 "Natural gas",52,57,58,49,53,60,55,63,53,45,37,28,21,97,41,12,20,13,18,13,15,12,11,6,7

  20. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Hampshire" "Emission type", 2014, 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",2166,2689,1694,24041,36405,32333,36146,40115,38096,41306,37066,33607,38594,44473,46296,39840,40221,49137,41011,40508,37609,39548,42845,33246,41324 "Natural gas",8,8,16,15,13,11,14,7,11,10,7,15,0,0,1,0,0,0,0,0,0,0,0," ","

  1. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Jersey" "Emission type", 2014, 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",2395,2333,2866,4464,15060,12671,38115,50089,61099,69561,51500,50631,48855,50013,80835,63535,61420,73406,67588,58450,50184,56327,55383,57266,69123 "Natural gas",33,37,73,79,51,32,29,23,25,22,14,29,23,33,40,41,36,41,43,51,49,46,40,30,22

  2. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Mexico" "Emission type", 2014, 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",12014,17706,16538,17799,16546,19273,22214,26645,31168,30757,38493,51035,50982,62371,69031,73913,81488,82737,78595,75755,63018,57673,58306,50395,59574 "Natural gas",43,23,22,23,22,21,20,17,18,9,8,9,10,14,11,12,14,11,12,168,9,8,7,8,9

  3. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Carolina" "Emission type", 2014, 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",43936,51793,63584,81442,127715,123709,246364,392943,482961,516957,488210,481288,481923,473655,497039,497620,532992,556780,522206,439975,415724,472747,424519,374981,378382 "Natural gas",62,54,43,36,21,9,8,8,4,7,4,8,8,4,2,2,2,1,1,2,1,2,1,1,1

  4. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Dakota" "Emission type", 2014, 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",52698,56827,87164,94480,127427,132855,136415,137982,130699,138294,150488,141328,141498,156233,153590,191764,195793,178826,178368,210373,152684,147327,146371,189694,146402 "Natural gas",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1

  5. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Oregon" "Emission type", 2014, 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",7425,13959,11463,13100,15640,11050,11305,14027,8697,12104,12828,13522,12580,18027,14858,17160,13840,7342,6383,6143,16823,14892,16478,10708,7280 "Natural gas",46,52,39,27,52,63,69,44,32,34,30,28,23,28,24,18,19,10,10,7,9,6,6,4,2

  6. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Rhode Island" "Emission type", 2014, 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",10,11,19,20,18,17,14,15,15,13,12,18,17,19,15,14,18,14,14,10,11,11,11,7,3 "Natural gas",2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0

  7. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Dakota" "Emission type", 2014, 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",13839,15332,12825,11249,13129,11929,13720,9194,11957,10723,14375,12596,25263,14439,14224,26837,24162,26742,16418,35460,33368,30740,31866,32623,31176 "Natural gas",1,1,0,0,0,0,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0 "Other","

  8. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Tennessee" "Emission type", 2014, 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",80454,78177,89276,144447,143016,130005,234674,265029,290290,297970,341496,370895,374163,396595,500011,533235,563085,614328,610082,570892,849088,895318,843606,796681,838243 "Natural gas",4,7,20,7,4,1,1,0,0,0,0,2,1,1,3,1,2,1,1,2,1,1,3,1,2

  9. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Utah" "Emission type", 2014, 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",23525,23545,21953,24864,28075,32614,24593,27565,37366,34547,37057,35348,32849,35716,33918,30837,33609,33601,32715,33485,29978,32977,30210,28162,31653 "Natural gas",22,17,17,12,12,15,18,19,8,1,3,6,3,3,2,1,1,1,1,3,2,1,1,1,0

  10. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Washington" "Emission type", 2014, 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",3362,2820,1690,1695,3221,4203,3123,2707,2256,3945,7475,9309,19572,68959,85701,89418,76615,65080,80288,55300,71156,73657,73826,63973,62933 "Natural gas",36,43,21,19,41,46,43,33,30,29,23,23,22,43,41,17,15,12,19,18,17,12,7,2,2

  11. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Wyoming" "Emission type", 2014, 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",45629,49564,48004,85490,74270,83774,91179,91675,92333,96307,92960,92260,102300,94749,87414,106527,115147,107547,105501,113255,94338,82028,85538,84633,108365 "Natural gas",2,1,2,3,1,2,1,2,2,0,0,2,172,3,2,1,1,1,1,1,1,1,1,1,1

  12. The last decade of global anthropogenic sulfur dioxide: 2000-2011 emissions

    SciTech Connect (OSTI)

    Klimont, Z.; Smith, Steven J.; Cofala, Janusz

    2013-01-09

    Evolution of global and regional anthropogenic SO2 emissions in the last decade has been estimated through a bottom-up calculation for recent years. After a strong increase in emissions that peaked about 2006, we estimate a declining trend continuing until 2011. However, there is a strong spatial variability with North America and Europe continuing to reduce emissions with an increasing role of Asia and international shipping. China remains a key contributor but the introduction of stricter emission limits followed by an ambitious program of installing flue gas desulfurization on power plants resulted in significant decline in emissions from energy sector and stabilization of Chinese SO2 emissions. Comparable mitigation strategies are not yet present in several other Asian countries and industrial sectors in general, while emissions from international shipping are expected to start declining soon following agreed reduction of sulfur content of fuel oil. Estimated trends in global SO2 emissions are within the range of RCP projections and uncertainty calculated for the year 2005.

  13. Carbon dioxide emission index as a mean for assessing fuel quality

    SciTech Connect (OSTI)

    Furimsky, E.

    2008-07-01

    Carbon dioxide emission index, defined as the amount of CO{sub 2} released per unit of energy value, was used to rate gaseous, liquid and solid fuels. The direct utilization of natural gas is the most efficient option. The conversion of natural gas to synthesis gas for production of liquid fuels represents a significant decrease in fuel value of the former. The fuel value of liquids, such as gasoline, diesel oil, etc. is lower than that of natural gas. Blending gasoline with ethanol obtained either from bio-mass or via synthesis may decrease fuel value of the blend when CO{sub 2} emissions produced during the production of ethanol are included in total emissions. The introduction of liquid fuels produced by pyrolysis and liquefaction of biomass would result in the increase in the CO{sub 2} emissions. The CO{sub 2} emissions from the utilization of coal and petroleum coke are much higher than those from gaseous and liquid fuels. However, for petroleum coke, this is offset by the high value gaseous and liquid fuels that are simultaneously produced during coking. Conversion of low value fuels such as coal and petroleum coke to a high value chemicals via synthesis gas should be assessed as means for replacing natural gas and making it available for fuel applications.

  14. Incorporation of catalytic dehydrogenation into fischer-tropsch synthesis to significantly reduce carbon dioxide emissions

    DOE Patents [OSTI]

    Huffman, Gerald P.

    2012-11-13

    A new method of producing liquid transportation fuels from coal and other hydrocarbons that significantly reduces carbon dioxide emissions by combining Fischer-Tropsch synthesis with catalytic dehydrogenation is claimed. Catalytic dehydrogenation (CDH) of the gaseous products (C1-C4) of Fischer-Tropsch synthesis (FTS) can produce large quantities of hydrogen while converting the carbon to multi-walled carbon nanotubes (MWCNT). Incorporation of CDH into a FTS-CDH plant converting coal to liquid fuels can eliminate all or most of the CO.sub.2 emissions from the water-gas shift (WGS) reaction that is currently used to elevate the H.sub.2 level of coal-derived syngas for FTS. Additionally, the FTS-CDH process saves large amounts of water used by the WGS reaction and produces a valuable by-product, MWCNT.

  15. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    6 Table 1. State energy-related carbon dioxide emissions by year (2000-2013) million metric tons carbon dioxide Change (2000-2013) State 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 percent Absolute Alabama 142.1 133.5 138.3 139.1 141.3 142.9 145.1 146.5 138.9 119.4 131.8 128.9 122.2 119.8 -15.7% -22.3 Alaska 44.3 43.4 43.5 43.6 46.7 48.0 45.7 43.9 39.3 37.7 38.5 38.4 37.8 36.1 -18.5% -8.2 Arizona 86.0 88.3 87.6 89.4 96.2 96.3 99.2 100.9 101.2 92.2 93.9 91.9 89.9 93.8

  16. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    8 Table 2. 2013 state energy-related carbon dioxide emissions by fuel million metric tons of carbon dioxide Shares State Coal Petroleum Natural Gas Total Coal Petroleum Natural Gas Alabama 53.3 33.2 33.4 119.8 44.5% 27.7% 27.8% Alaska 1.4 17.1 17.7 36.1 3.9% 47.2% 48.9% Arizona 43.0 32.8 18.1 93.8 45.8% 34.9% 19.3% Arkansas 30.9 21.6 15.3 67.8 45.5% 31.9% 22.5% California 3.6 217.7 131.8 353.1 1.0% 61.7% 37.3% Colorado 34.3 30.6 25.6 90.5 37.9% 33.8% 28.2% Connecticut 0.7 20.8 12.7 34.3 2.1%

  17. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    0 Table 3. 2013 state energy-related carbon dioxide emissions by sector million metric tons carbon dioxide State Commercial Electric Power Residential Industrial Transportation Total Alabama 1.8 64.2 2.2 21.3 30.3 119.8 Alaska 2.4 2.6 1.6 17.5 12.0 36.1 Arizona 2.4 54.7 2.4 4.5 29.8 93.8 Arkansas 2.8 35.5 2.2 9.3 18.0 67.8 California 16.0 45.7 27.7 72.9 190.8 353.1 Colorado 3.7 38.6 8.2 13.9 26.3 90.5 Connecticut 3.6 6.8 7.2 2.3 14.4 34.3 Delaware 0.8 4.1 0.9 3.7 3.9 13.4 District of Columbia

  18. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    4 Table 5. Per capita energy-related carbon dioxide emissions by state (2000-2013) metric tons carbon dioxide per person Change (2000-2013) State 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 percent Absolute Alabama 31.9 29.9 30.9 30.9 31.2 31.3 31.3 31.4 29.4 25.1 27.5 26.9 25.4 24.8 -22.4% -7.1 Alaska 70.6 68.4 67.8 67.3 70.9 72.0 67.7 64.6 57.2 53.9 53.9 53.1 51.8 49.0 -30.6% -21.6 Arizona 16.7 16.7 16.2 16.2 17.0 16.5 16.5 16.4 16.1 14.5 14.6 14.2 13.7 14.1 -15.2%

  19. Incorporation of catalytic dehydrogenation into Fischer-Tropsch synthesis to lower carbon dioxide emissions

    DOE Patents [OSTI]

    Huffman, Gerald P

    2012-09-18

    A method for producing liquid fuels includes the steps of gasifying a starting material selected from a group consisting of coal, biomass, carbon nanotubes and mixtures thereof to produce a syngas, subjecting that syngas to Fischer-Tropsch synthesis (FTS) to produce a hyrdrocarbon product stream, separating that hydrocarbon product stream into C1-C4 hydrocarbons and C5+ hydrocarbons to be used as liquid fuels and subjecting the C1-C4 hydrocarbons to catalytic dehydrogenation (CDH) to produce hydrogen and carbon nanotubes. The hydrogen produced by CDH is recycled to be mixed with the syngas incident to the FTS reactor in order to raise the hydrogen to carbon monoxide ratio of the syngas to values of 2 or higher, which is required to produce liquid hydrocarbon fuels. This is accomplished with little or no production of carbon dioxide, a greenhouse gas. The carbon is captured in the form of a potentially valuable by-product, multi-walled carbon nanotubes (MWNT), while huge emissions of carbon dioxide are avoided and very large quantities of water employed for the water-gas shift in traditional FTS systems are saved.

  20. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    2 Table 4. 2013 state energy-related carbon dioxide emission shares by sector percent of total Shares State Commercial Electric Power Residential Industrial Transportation Alabama 1.5% 53.6% 1.8% 17.8% 25.3% Alaska 6.6% 7.3% 4.3% 48.4% 33.3% Arizona 2.5% 58.3% 2.6% 4.8% 31.8% Arkansas 4.2% 52.4% 3.3% 13.6% 26.5% California 4.5% 12.9% 7.9% 20.7% 54.0% Colorado 4.1% 42.6% 9.0% 15.3% 29.0% Connecticut 10.4% 19.8% 21.0% 6.8% 42.1% Delaware 5.7% 30.2% 7.0% 27.8% 29.3% District of Columbia 35.5% 0.0%

  1. Table 7. Electric power industry emissions estimates, 1990 through 2014

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

    Vermont" "Emission type", 2014, 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",0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 "Natural gas",38,37,26,36,40,40,39,24,39,46,47,41,42,47,52,42,45,47,46,44,13,10,9,10,8 "Petroleum",32,34,26,58,2,2,1,11,8,23,25,28,21,55,137,97,127,50,17,35,17,3,2,0,14

  2. Table 11.2b Carbon Dioxide Emissions From Energy Consumption: Commercial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide )

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

    b Carbon Dioxide Emissions From Energy Consumption: Commercial Sector, 1949-2011 (Million Metric Tons of Carbon Dioxide 1) Year Coal Natural Gas 3 Petroleum Retail Electricity 7 Total 2 Biomass 2 Distillate Fuel Oil 4 Kerosene LPG 5 Motor Gasoline 6 Petroleum Coke Residual Fuel Oil Total Wood 8 Waste 9 Fuel Ethanol 10 Total 1949 148 19 16 3 2 7 NA 28 55 58 280 2 NA NA 2 1950 147 21 19 3 2 7 NA 33 66 63 297 2 NA NA 2 1951 125 25 21 4 3 8 NA 34 70 69 289 2 NA NA 2 1952 112 28 22 4 3 8 NA 35 71 73

  3. 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)

  4. MINIMIZING NET CARBON DIOXIDE EMISSIONS BY OXIDATIVE CO-PYROLYSIS OF COAL/BIOMASS BLENDS

    SciTech Connect (OSTI)

    Robert Hurt; Todd Lang

    2001-06-25

    Solid fuels vary significantly with respect to the amount of CO{sub 2} directly produced per unit heating value. Elemental carbon is notably worse than other solid fuels in this regard, and since carbon (char) is an intermediate product of the combustion of almost all solid fuels, there is an opportunity to reduce specific CO{sub 2} emissions by reconfiguring processes to avoid char combustion wholly or in part. The primary goal of this one-year Innovative Concepts project is to make a fundamental thermodynamic assessment of three modes of solid fuel use: (1) combustion, (2) carbonization, and (3) oxidative pyrolysis, for a wide range of coal and alternative solid fuels. This period a large set of thermodynamic calculations were carried out to assess the potential of the three processes. The results show that the net carbon dioxide emissions and the relative ranking of the different processes depends greatly on the particular baseline fossil fuel being displaced by the new technology. As an example, in a baseline natural gas environment, it is thermodynamically more advantageous to carbonize biomass than to combust it, and even more advantageous to oxidatively pyrolyze the biomass.

  5. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    2 Table 9. Net electricity trade index and primary electricity source for states with least and most energy-related carbon dioxide emissions per capita (2000-2013) 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Primary 2011 2012 2013 Source Least CO2 per capita New York 0.9 1.0 0.9 0.9 0.9 0.9 1.0 1.0 1.0 0.9 0.9 1.0 1.0 1.0 Natural Gas Vermont 1.6 1.4 1.3 1.3 1.2 1.2 1.5 1.3 1.5 1.7 1.5 1.6 3.0 3.2 Nuclear California 0.8 0.7 0.7 0.7 0.7 0.7 0.8 0.7 0.7 0.7 0.7 0.7 0.7 0.7 Natural Gas

  6. Microsoft Word - NETL-TRS-1-2013_Geologic Storage Estimates for Carbon Dioxide_20130312.electronic.docx

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

    Comparison of Publicly Available Methods for Development of Geologic Storage Estimates for Carbon Dioxide in Saline Formations 12 March 2013 Office of Fossil Energy NETL-TRS-1-2013 Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy,

  7. The estimation of N{sub 2}O emissions from municipal solid waste incineration facilities: The Korea case

    SciTech Connect (OSTI)

    Park, Sangwon; Choi, Jun-Ho; Park, Jinwon

    2011-08-15

    The greenhouse gases (GHGs) generated in municipal solid waste (MSW) incineration are carbon dioxide (CO{sub 2}), methane (CH{sub 4}), and nitrous oxide (N{sub 2}O). In South Korea case, the total of GHGs from the waste incineration facilities has been increasing at an annual rate 10%. In these view, waste incineration facilities should consider to reduce GHG emissions. This study is designed to estimate the N{sub 2}O emission factors from MSW incineration plants, and calculate the N{sub 2}O emissions based on these factors. The three MSW incinerators examined in this study were either stoker or both stoker and rotary kiln facilities. The N{sub 2}O concentrations from the MSW incinerators were measured using gas chromatography-electron capture detection (GC-ECD) equipment. The average of the N{sub 2}O emission factors for the M01 plant, M02 plant, and M03 plant are 71, 75, and 153 g-N{sub 2}O/ton-waste, respectively. These results showed a significant difference from the default values of the intergovernmental panel on climate change (IPCC), while approaching those values derived in Japan and Germany. Furthermore, comparing the results of this study to the Korea Energy Economics Institute (KEEI) (2007) data on waste incineration, N{sub 2}O emissions from MSW incineration comprised 19% of the total N{sub 2}O emissions.

  8. Estimation of landfill emission lifespan using process oriented modeling

    SciTech Connect (OSTI)

    Ustohalova, Veronika . E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim; Widmann, Renatus

    2006-07-01

    Depending on the particular pollutants emitted, landfills may require service activities lasting from hundreds to thousands of years. Flexible tools allowing long-term predictions of emissions are of key importance to determine the nature and expected duration of maintenance and post-closure activities. A highly capable option represents predictions based on models and verified by experiments that are fast, flexible and allow for the comparison of various possible operation scenarios in order to find the most appropriate one. The intention of the presented work was to develop a experimentally verified multi-dimensional predictive model capable of quantifying and estimating processes taking place in landfill sites where coupled process description allows precise time and space resolution. This constitutive 2-dimensional model is based on the macromechanical theory of porous media (TPM) for a saturated thermo-elastic porous body. The model was used to simulate simultaneously occurring processes: organic phase transition, gas emissions, heat transport, and settlement behavior on a long time scale for municipal solid waste deposited in a landfill. The relationships between the properties (composition, pore structure) of a landfill and the conversion and multi-phase transport phenomena inside it were experimentally determined. In this paper, we present both the theoretical background of the model and the results of the simulations at one single point as well as in a vertical landfill cross section.

  9. Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry

    SciTech Connect (OSTI)

    Love, Lonnie J

    2012-12-01

    The objective of this report is to estimate the impact (energy, emissions and economics) of United Fluid power (hydraulic and pneumatic actuation) is the generation, control, and application of pumped or compressed fluids when this power is used to provide force and motion to mechanisms. This form of mechanical power is an integral part of United States (U.S.) manufacturing and transportation. In 2008, according to the U.S. Census Bureau, sales of fluid power components exceeded $17.7B, sales of systems using fluid power exceeded $226B. As large as the industry is, it has had little fundamental research that could lead to improved efficiency since the late 1960s (prior to the 1970 energy crisis). While there have been some attempts to replace fluid powered components with electric systems, its performance and rugged operating condition limit the impact of simple part replacement. Oak Ridge National Laboratory and the National Fluid Power Association (NFPA) collaborated with 31 industrial partners to collect and consolidate energy specific measurements (consumption, emissions, efficiency) of deployed fluid power systems. The objective of this study was to establish a rudimentary order of magnitude estimate of the energy consumed by fluid powered systems. The analysis conducted in this study shows that fluid powered systems consumed between 2.0 and 2.9 Quadrillion (1015) Btus (Quads) of energy per year; producing between 310 and 380 million metric tons (MMT) of Carbon Dioxide (CO2). In terms of efficiency, the study indicates that, across all industries, fluid power system efficiencies range from less than 9% to as high as 60% (depending upon the application), with an average efficiency of 22%. A review of case studies shows that there are many opportunities to impact energy savings in both the manufacturing and transportation sectors by the development and deployment of energy efficient fluid power components and systems.

  10. A New Method for Production of Titanium Dioxide Pigment - Eliminating CO2 Emission

    SciTech Connect (OSTI)

    Fang, Zhigang Zak

    2013-11-05

    The objective of this project was to demonstrate the potential of a new process technology to reduce the energy consumption and CO{sub 2} emission from the production of titanium dioxide (TiO{sub 2}) pigment. TiO{sub 2} is one of the most commonly used minerals in the chemical manufacturing industry. It has been commercially processed as a pigment since the early 1900's, and has a wide variety of domestic and industrial applications. TiO{sub 2} pigment is currently produced primarily by the use of the so called �chloride process�. A key step of the chloride process relies on high temperature carbo-chlorination of TiO{sub 2} bearing raw materials, hence producing large quantities of CO{sub 2}. The new method uses a chemical/metallurgical sequential extraction methodology to produce pigment grade TiO{sub 2} from high-TiO{sub 2} slag. The specific project objectives were to 1) study and prove the scientific validity of the concept, 2) understand the primary chemical reactions and the efficiency of sequential extraction schemes, 3) determine the properties of TiO{sub 2} produced using the technology, and 4) model the energy consumptions and environmental benefits of the technology. These objectives were successfully met and a new process for producing commercial quality TiO{sub 2} pigment was developed and experimentally validated. The process features a unique combination of established metallurgical processes, including alkaline roasting of titania slag followed by leaching, solvent extraction, hydrolysis, and calcination. The caustic, acidic, and organic streams in the process will also be regenerated and reused in the process, greatly reducing environmental waste. The purpose and effect of each of these steps in producing purified TiO{sub 2} is detailed in the report. The levels of impurities in our pigment meet the requirements for commercial pigment, and are nearly equivalent to those of two commercial pigments. Solvent extraction with an amine extractant

  11. Making appropriate comparisons of estimated and actual costs of reducing SO{sub 2} emissions under Title IV

    SciTech Connect (OSTI)

    Smith, A.E.

    1998-12-31

    A current sentiment within some parts of the environmental policy community is that market-based regulatory approaches such as emissions trading have proven so effective that actual costs will be only a small fraction of what ex ante cost estimation procedures would project. With this line of reasoning, some have dismissed available cost estimates for major proposed new regulations, such as the new PM and ozone NAAQS, as not meaningful for policy decisions. The most commonly used evidence in support of this position is the experience with SO{sub 2} reductions under Title IV of the 1990 Clean Air Act Amendments. In Title IV, a market for emissions allowances has been used to achieve reductions in sulfur dioxides (SO{sub 2}) to ameliorate acid rain. It is commonly asserted today that the cost of achieving the SO{sub 2} emissions reductions has been only one-tenth or less of what Title IV was originally expected to cost. This paper demonstrates that, to the contrary, actual costs for SO{sub 2} reductions remain roughly in line with original estimates associated with Title IV. Erroneous conclusions about Title IV`s costs are due to inappropriate comparisons of a variety of different measures that appear to be comparable only because they are all stated in dollars per ton. Program cost estimates include the total costs of a fully-implemented regulatory program. The very low costs of Title IV that are commonly cited today are neither directly reflective of a fully implemented Title IV, (which is still many years away) nor reflective of all the costs already incurred. Further, a careful review of history finds that the initial cost estimates that many cite were never associated with Title IV. Technically speaking, people are comparing the estimated control costs for the most-costly power plant associated with earlier acid rain regulatory proposals with prices from a market that do not directly reflect total costs.

  12. Emissions of nitrogen oxides from US urban areas: estimation from Ozone Monitoring Instrument retrievals for 2005-2014

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

    Lu, Z.; Streets, D. G.; de Foy, B.; Lamsal, L. N.; Duncan, B. N.; Xing, J.

    2015-05-28

    Satellite remote sensing of tropospheric nitrogen dioxide (NO2) can provide valuable information for estimating surface nitrogen oxides (NOx) emissions. Using an exponentially-modified Gaussian (EMG) method and taking into account the effect of wind on observed NO2 distributions, we estimate three-year moving-average emissions of summertime NOx from 35 US urban areas directly from NO2 retrievals of the Ozone Monitoring Instrument (OMI) during 2005–2014. Following the conclusions of previous studies that the EMG method provides robust and accurate emission estimates under strong-wind conditions, we derive top-down NOx emissions from each urban area by applying the EMG method to OMI data with windmore » speeds greater than 3–5 m s-1. Meanwhile, we find that OMI NO2 observations under weak-wind conditions (i.e., < 3 m s-1) are qualitatively better correlated with the surface NOx source strength in comparison to all-wind OMI maps; and therefore we use them to calculate the satellite-observed NO2 burdens of urban areas and compare with NOx emission estimates. The EMG results show that OMI-derived NOx emissions are highly correlated (R > 0.93) with weak-wind OMI NO2 burdens as well as bottom-up NOx emission estimates over 35 urban areas, implying a linear response of the OMI observations to surface emissions under weak-wind conditions. The simultaneous, EMG-obtained, effective NO2 lifetimes (~3.5 ± 1.3 h), however, are biased low in comparison to the summertime NO2 chemical lifetimes. In general, isolated urban areas with NOx emission intensities greater than ~ 2 Mg h-1 produce statistically significant weak-wind signals in three-year average OMI data. From 2005 to 2014, we estimate that total OMI-derived NOx emissions over all selected US urban areas decreased by 49%, consistent with reductions of 43, 47, 49, and 44% in the total bottom-up NOx emissions, the sum of weak-wind OMI NO2 columns, the total weak-wind OMI NO2 burdens, and the averaged NO2 concentrations

  13. Sulfur dioxide and nitrogen oxides emissions from U.S. pulp and paper mills, 1980-2005

    SciTech Connect (OSTI)

    John E. Pinkerton

    2007-08-15

    Estimates of total SO{sub 2} and NOx emissions from U.S. pulp and paper mills were developed from industry-wide surveys conducted at 5-yr intervals from 1980 to 2005. The following conclusions were drawn from these estimates: (1) Total SO{sub 2} emissions from pulp and paper mills were 340,000 t in 2005. Since 1980, SO{sub 2} emissions have decreased steadily. The decline over the 25-yr period was over 60%. Paper production increased by 50% over the same period. (2) Boilers burning coal and oil are the primary source of SO{sub 2} emissions, with minor contributions from black liquor combustion in kraft recovery furnaces and the burning of noncondensable gases in boilers at kraft pulp mills. Factors contributing to the decline in boiler SO{sub 2} emissions include large reductions in residual oil use, recent decreases in coal use, declines in the average sulfur content of residual oil and coal being burned, and increasing use of flue gas desulfurization systems.(3) NOx emissions from pulp and paper mills were 230,000 t in 2005. NOx emissions were fairly constant through 1995, but then declined by 12% in 2000 and an additional 17% between 2000 and 2005. (4) In 2005, boilers accounted for two-thirds of the NOx emissions, and kraft mill sources approximately 30%. Boiler NOx emissions exhibited very little change through 1995, but decreased by one third in the next 10 yr. The lower emissions resulted from declines in fossil fuel use, a reduction in the EPA emission factors for natural gas combustion in boilers without NOx controls, and more widespread use of combustion modifications and add-on NOx control technologies, particularly on coal-fired boilers subject to EPA's NOx SIP call. Total NOx emissions from kraft mill sources changed little over the 25-yr period. 7 refs., 4 figs., 3 tabs.

  14. Estimating emissions of 20 VOCs. 2: Diffused aeration (Journal...

    Office of Scientific and Technical Information (OSTI)

    Language: English Subject: 54 ENVIRONMENTAL SCIENCES; ORGANIC COMPOUNDS; EMISSION; AERATION; AIR POLLUTION; MASS TRANSFER; VOLATILE MATTER; MATTER; POLLUTION 540120* -- ...

  15. RPS Collaborative Webinar: Using AVERT to Estimate the Emissions Benefits of Clean Energy Policies and Programs

    Office of Energy Efficiency and Renewable Energy (EERE)

    State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it can be challenging and...

  16. State-Level Energy-Related Carbon Dioxide Emissions, 2000-2011...

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

    by sector" was revised to match the values given in Table 3. Paragraph entitled "Emissions by Sector" the following changes were made by state and sector: Vermont...

  17. 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.

  18. Trace Gas Emissions Data from the Carbon Dioxide Information Analysis Center (CDIAC)

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

    CDIAC products are indexed and searchable through a customized interface powered by ORNL's Mercury search engine. Products include numeric data packages, publications, trend data, atlases, and models and can be searched for by subject area, keywords, authors, product numbers, time periods, collection sites, spatial references, etc. Some of the collections may also be included in the CDIAC publication Trends Online: A Compendium of Global Change Data. Most data sets, many with numerous data files, are free to download from CDIAC's ftp area. Collections under the broad heading of Trace Gas Emissions are organized as Fossil-Fuel CO2 Emissions, Land-Use CO2 Emissions, Soil CO2 Emissions, and Methane.

  19. State-Level Energy-Related Carbon Dioxide Emissions, 2000-2012

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

    ... Press Releases Presentations Congressional Testimony Radio Spots Enter Search ... There can also be significant variations in terms of CO2 emissions by sector (Tables 3 ...

  20. Table 10 U.S. Carbon Dioxide Emissions from Industrial Sector...

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

    ... table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  1. Table 9 U.S. Carbon Dioxide Emissions from Commercial Sector...

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

    table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  2. Table 6 U.S. Carbon Dioxide Emissions from Energy and Industry...

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

    ... table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  3. Table 7. U.S. Energy-Related Carbon Dioxide Emissions by End...

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

    table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008," "DOEEIA-0573(2008) (Washington, DC, December ...

  4. Estimation of US urban NOx emissions from OMI

    Office of Scientific and Technical Information (OSTI)

    ... Emissions: Monitoring 15 of Pollution (TEMPO, Chance et al., 2013) and the ... Admin- istration (NASA) as a part of the Air Quality Applied Sciences Team (AQAST) ...

  5. An Analytical Approach for Tail-Pipe Emissions Estimation with...

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

    with Coupled Engine and Aftertreatment System Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September ...

  6. Estimating U.S. Methane Emissions from the Natural Gas Supply Chain. Approaches, Uncertainties, Current Estimates, and Future Studies

    SciTech Connect (OSTI)

    Heath, Garvin; Warner, Ethan; Steinberg, Daniel; Brandt, Adam

    2015-08-01

    A growing number of studies have raised questions regarding uncertainties in our understanding of methane (CH4) emissions from fugitives and venting along the natural gas (NG) supply chain. In particular, a number of measurement studies have suggested that actual levels of CH4 emissions may be higher than estimated by EPA" tm s U.S. GHG Emission Inventory. We reviewed the literature to identify the growing number of studies that have raised questions regarding uncertainties in our understanding of methane (CH4) emissions from fugitives and venting along the natural gas (NG) supply chain.

  7. Catalysts for cleaner combustion of coal, wood and briquettes sulfur dioxide reduction options for low emission sources

    SciTech Connect (OSTI)

    Smith, P.V.

    1995-12-31

    Coal fired, low emission sources are a major factor in the air quality problems facing eastern European cities. These sources include: stoker-fired boilers which feed district heating systems and also meet local industrial steam demand, hand-fired boilers which provide heat for one building or a small group of buildings, and masonary tile stoves which heat individual rooms. Global Environmental Systems is marketing through Global Environmental Systems of Polane, Inc. catalysts to improve the combustion of coal, wood or fuel oils in these combustion systems. PCCL-II Combustion Catalysts promotes more complete combustion, reduces or eliminates slag formations, soot, corrosion and some air pollution emissions and is especially effective on high sulfur-high vanadium residual oils. Glo-Klen is a semi-dry powder continuous acting catalyst that is injected directly into the furnace of boilers by operating personnel. It is a multi-purpose catalyst that is a furnace combustion catalyst that saves fuel by increasing combustion efficiency, a cleaner of heat transfer surfaces that saves additional fuel by increasing the absorption of heat, a corrosion-inhibiting catalyst that reduces costly corrosion damage and an air pollution reducing catalyst that reduces air pollution type stack emissions. The reduction of sulfur dioxides from coal or oil-fired boilers of the hand fired stoker design and larger, can be controlled by the induction of the Glo-Klen combustion catalyst and either hydrated lime or pulverized limestone.

  8. An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled

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

    Engine and Aftertreatment System | Department of Energy An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine and Aftertreatment System An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine and Aftertreatment System Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010. p-06_miao.pdf (500.14 KB) More Documents & Publications Advanced Diesel Engine and

  9. The Smart Grid: An Estimation of the Energy and Carbon Dioxide...

    Open Energy Info (EERE)

    by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery in the United States. The quantitative estimates of...

  10. Reduced carbon emission estimates from fossil fuel combustion and cement production in China

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

    Liu, Z.; Guan, D.; Wei, W.; Davis, S.; Ciais, P.; Bai, J; Peng, S.; Zhang, Q.; Hubacek, K.; Marland, Gregg; et al

    2015-08-19

    Nearly three-quarters of the growth in global carbon emissions from the burning of fossil fuels and cement production between 2010 and 2012 occurred in China. Yet estimates of Chinese emissions remain subject to large uncertainty; inventories of China’s total fossil fuel carbon emissions in 2008 differ by 0.3 gigatonnes of carbon, or 15 per cent. The primary sources of this uncertainty are conflicting estimates of energy consumption and emission factors, the latter being uncertain because of very few actual measurements representative of the mix of Chinese fuels. Here we re-evaluate China’s carbon emissions using updated and harmonized energy consumption andmore » clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal. We find that total energy consumption in China was 10 per cent higher in 2000–2012 than the value reported by China’s national statistics, that emission factors for Chinese coal are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change, and that emissions from China’s cement production are 45 per cent less than recent estimates. Altogether, our revised estimate of China’s CO2 emissions from fossil fuel combustion and cement production is 2.49 gigatonnes of carbon (2 standard deviations = ±7.3 per cent) in 2013, which is 14 per cent lower than the emissions reported by other prominent inventories. Over the full period 2000 to 2013, our revised estimates are 2.9 gigatonnes of carbon less than previous estimates of China’s cumulative carbon emissions. Our findings suggest that overestimation of China’s emissions in 2000–2013 may be larger than China’s estimated total forest sink in 1990–2007 (2.66 gigatonnes of carbon) or China’s land carbon sink in 2000–2009 (2.6 gigatonnes of carbon).« less

  11. Reduced carbon emission estimates from fossil fuel combustion and cement production in China

    SciTech Connect (OSTI)

    Liu, Z.; Guan, D.; Wei, W.; Davis, S.; Ciais, P.; Bai, J; Peng, S.; Zhang, Q.; Hubacek, K.; Marland, Gregg; Andres, Robert Joseph; Crawford-Brown, D.; Lin, J.; Zhao, H.; Hong, C.; Boden, Thomas A.; Feng, K.; Peters, Glen P.; Xi, F.; Liu, J.; Li, Y.; Zhao, Y.; Zeng, Ning; He, K.

    2015-08-19

    Nearly three-quarters of the growth in global carbon emissions from the burning of fossil fuels and cement production between 2010 and 2012 occurred in China. Yet estimates of Chinese emissions remain subject to large uncertainty; inventories of China’s total fossil fuel carbon emissions in 2008 differ by 0.3 gigatonnes of carbon, or 15 per cent. The primary sources of this uncertainty are conflicting estimates of energy consumption and emission factors, the latter being uncertain because of very few actual measurements representative of the mix of Chinese fuels. Here we re-evaluate China’s carbon emissions using updated and harmonized energy consumption and clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal. We find that total energy consumption in China was 10 per cent higher in 2000–2012 than the value reported by China’s national statistics, that emission factors for Chinese coal are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change, and that emissions from China’s cement production are 45 per cent less than recent estimates. Altogether, our revised estimate of China’s CO2 emissions from fossil fuel combustion and cement production is 2.49 gigatonnes of carbon (2 standard deviations = ±7.3 per cent) in 2013, which is 14 per cent lower than the emissions reported by other prominent inventories. Over the full period 2000 to 2013, our revised estimates are 2.9 gigatonnes of carbon less than previous estimates of China’s cumulative carbon emissions. Our findings suggest that overestimation of China’s emissions in 2000–2013 may be larger than China’s estimated total forest sink in 1990–2007 (2.66 gigatonnes of carbon) or China’s land carbon sink in 2000–2009 (2.6 gigatonnes of carbon).

  12. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    20 Table 8. Carbon intensity of the economy by state (2000-2013) metric tons of energy-related carbon dioxide per million chained 2009 dollars of GDP Change (2000-2013) State 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 percent Absolute Alabama 947.5 881.6 889.4 873.7 839.2 825.8 827.1 833.3 791.5 704.6 759.5 734.5 691.6 661.8 -30.2% -285.7 Alaska 1,220.0 1,145.3 1,118.1 1,127.8 1,158.5 1,161.3 1,038.3 949.7 847.3 758.4 793.2 770.3 735.6 730.8 -40.1% -489.2 Arizona 424.8

  13. Evaluation of carbon dioxide emission control strategies in New York State

    SciTech Connect (OSTI)

    Morris, S.C.; Lee, J.; Goldstein, G.; Hill, D.

    1992-01-01

    A MARKAL model was developed for the State of New York. It represents the state's energy system as a set of typical technologies for generating, converting, and using energy as it evolves over a 45-year period. NYMARKAL was applied here in demonstration analyses to explore strategies to reduce CO{sub 2} emissions. NYMARKAL was installed at the State Energy Office and in the Offices of the New York Power Pool. Staff members from both organizations and other state agencies were trained in its use. Example scenarios showed that it is more difficult and more expensive to reduce carbon emissions in New York State than in the United States as a whole. Were a common carbon tax instituted, it would have less effect in New York and most carbon emissions reduction would take place elsewhere in the country where it is more cost-effective. Alternatively, were all states required to reduce CO{sub 2} emission an equal percentage (say by 20%), the cost per unit emissions reduction to New York would be much greater than in the rest of the country.

  14. Evaluation of carbon dioxide emission control strategies in New York State. Final report, 1990--1991

    SciTech Connect (OSTI)

    Morris, S.C.; Lee, J.; Goldstein, G.; Hill, D.

    1992-01-01

    A MARKAL model was developed for the State of New York. It represents the state`s energy system as a set of typical technologies for generating, converting, and using energy as it evolves over a 45-year period. NYMARKAL was applied here in demonstration analyses to explore strategies to reduce CO{sub 2} emissions. NYMARKAL was installed at the State Energy Office and in the Offices of the New York Power Pool. Staff members from both organizations and other state agencies were trained in its use. Example scenarios showed that it is more difficult and more expensive to reduce carbon emissions in New York State than in the United States as a whole. Were a common carbon tax instituted, it would have less effect in New York and most carbon emissions reduction would take place elsewhere in the country where it is more cost-effective. Alternatively, were all states required to reduce CO{sub 2} emission an equal percentage (say by 20%), the cost per unit emissions reduction to New York would be much greater than in the rest of the country.

  15. New York MARKAL: An evaluation of carbon dioxide emission control strategies in New York State

    SciTech Connect (OSTI)

    Hamilton, L.D.

    1992-12-31

    A MARKAL model was developed for the State of New York. It represents the State`s energy system as a set of typical technologies for generating, converting, and using energy as it evolves over a 45-year period. NYMARKAL was applied here in demonstration analyses to explore strategies to reduce CO2 emissions. NYMARKAL was installed at the State Energy Office and in the Offices of the New York Power Pool. Example scenarios showed that it is more difficult and more expensive to reduce carbon emissions in New York State than in the United States as a whole. Were a common carbon tax instituted, it would have less effect in New York and most carbon emissions reduction would take place elsewhere in the country where it is more cost-effective. Alternatively, were all states required to reduce CO2 emission an equal percentage (say by 20%), the cost per unit emissions reduction to New York would be much greater than in the rest of the country.

  16. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    5 Appendix B. Other state-related links The underlying energy data upon which the state-level CO2 calculations are based: http://www.eia.gov/state/seds/. This is the State Energy Data System (SEDS), the main repository for all of EIA's state-based energy data. The state CO2 data that this analysis is based upon: http://www.eia.gov/environment/emissions/state/ This data set contains CO2 emissions data for each state by sector and fuel based on SEDS. State Energy Profiles:

  17. Impact of Increased Use of Hydrogen on Petroleum Consumption and Carbon Dioxide Emissions, The

    Reports and Publications (EIA)

    2008-01-01

    This report responds to a request from Senator Byron L. Dorgan for an analysis of the impacts on U.S. energy import dependence and emission reductions resulting from the commercialization of advanced hydrogen and fuel cell technologies in the transportation and distributed generation markets.

  18. Input quality, trade liberalization, and abatement of carbon-dioxide emissions

    SciTech Connect (OSTI)

    Khanna, M.; Zilberman, D.

    1996-12-31

    This paper introduces a methodology to derive the incentives provided by two alternative policies--an emissions tax vs. liberalization of trade in higher quality coal--for increasing conversion-efficiency of electricity generation and for analyzing their impact on carbon emissions as well as on output of electricity. This methodology is applied empirically to examine the potential for abatement of carbon emissions from existing coal-based plants in the thermal power sector in India through the adoption of higher qualities of coal. The paper provides strong empirical support for achieving a complementarity between the goals of abatement and increased output, through policies which remove distortions in domestic and trade policies. It also demonstrates that abatement induced by an emissions-tax alone leads to a conflict between these goals. The authors examine a situation where the availability of higher quality coal is constrained by domestic and trade barriers. The role of coal quality in improving conversion-efficiency is analyzed when microunits are heterogeneous and have putty-clay technologies. The framework developed here juxtaposes engineering relationships governing plant performance and stylized features of electricity-generating technologies with a behavioral economic model.

  19. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

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

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Qualitymore » Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr⁻¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.« less

  20. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

    SciTech Connect (OSTI)

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Quality Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr⁻¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.

  1. The Impact of Electric Passenger Transport Technology under an Economy-Wide Climate Policy in the United States: Carbon Dioxide Emissions, Coal Use, and Carbon Dioxide Capture and Storage

    SciTech Connect (OSTI)

    Wise, Marshall A.; Kyle, G. Page; Dooley, James J.; Kim, Son H.

    2010-03-01

    Plug-in hybrid electric vehicles (PHEVs) have the potential to be an economic means of reducing direct (or tailpipe) carbon dioxide (CO2) emissions from the transportation sector. However, without a climate policy that places a limit on CO2 emissions from the electric generation sector, the net impact of widespread deployment of PHEVs on overall U.S. CO2 emissions is not as clear. A comprehensive analysis must consider jointly the transportation and electricity sectors, along with feedbacks to the rest of the energy system. In this paper, we use the Pacific Northwest National Laboratory’s MiniCAM model to perform an integrated economic analysis of the penetration of PHEVs and the resulting impact on total U.S. CO2 emissions.

  2. Energy-Related Carbon Dioxide Emissions at the State Level, 2000-2013

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

    8 Table 7. Carbon intensity by state (2000-2013) kilograms of energy-related carbon dioxide per million Btu Change (2000-2013) State 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 percent Absolute Alabama 58.6 58.2 58.0 57.7 57.0 57.8 58.0 58.3 56.1 51.4 53.7 52.1 50.2 49.0 -16.5% -9.6 Alaska 59.7 59.0 59.4 59.4 60.3 60.2 61.2 60.8 60.4 59.8 60.1 60.0 59.5 59.3 -0.7% -0.4 Arizona 55.0 56.0 54.8 55.8 56.1 56.9 57.5 56.3 55.3 54.1 54.7 53.8 52.9 53.9 -2.0% -1.1 Arkansas 57.2

  3. 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.

  4. Potentials for reductions of carbon dioxide emissions of industrial sector in transitional economies -- A case study of implementation of absorption heat devices and co-generation

    SciTech Connect (OSTI)

    Remec, J.; Dolsak, N.

    1996-12-31

    World carbon dioxide emissions, caused by commercial energy-generation, contribute to about 57% of global warming potential. Central and East European (CEE) countries together with former USSR emitted about 25% of the world carbon dioxide emissions, predominantly because of high energy intensity of their industries and dependence on coal. Energy efficiency improvements can reduce the high level of carbon dioxide emissions per unit of output, which significantly exceeds the levels of the industry in the European Union. CEE countries` most pressing environmental goal is a reduction of local air and water pollution. Therefore, when analyzing potentials for the reduction of greenhouse gases emissions in these countries, they need to concentrate on the activities which would also decrease local pollution. The paper focuses on technologies which would reduce the need for fossil fuel burning by improving energy efficiency in industry. Process industries are very energy intensive. Structure changes of the products are carried out with operations which require input and output of heat. Heat demand is usually met by combustion of fossil fuels, cold is produced with electricity. Technical potentials of absorption heat devices (AHD) and co-generation in process industry as well as their market penetration potentials are analyzed for Slovenia, one of the fastest transforming CEE economies.

  5. Fossil Fuel Carbon Dioxide Emissions Data and Data Plots from Project Vulcan

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

    Gurney, Kevin

    Explore the Vulcan website for the Vulcan gridded data, methodological details, publications, plots and analysis.[Taken from "About Project Vulcan" at http://www.purdue.edu/eas/carbon/vulcan/index.php]Also, see the peer-reviewed paper that provides a "core" description for this project: Gurney, K.R., D. Mendoza, Y. Zhou, M Fischer, S. de la Rue du Can, S. Geethakumar, C. Miller (2009) The Vulcan Project: High resolution fossil fuel combustion CO2 emissions fluxes for the United States, Environ. Sci. Technol., 43, doi:10.1021/es900,806c.

  6. Estimating Air Chemical Emissions from Research Activities Using Stack Measurement Data

    SciTech Connect (OSTI)

    Ballinger, Marcel Y.; Duchsherer, Cheryl J.; Woodruff, Rodger K.; Larson, Timothy V.

    2013-02-15

    Current methods of estimating air emissions from research and development (R&D) activities use a wide range of release fractions or emission factors with bases ranging from empirical to semi-empirical. Although considered conservative, the uncertainties and confidence levels of the existing methods have not been reported. Chemical emissions were estimated from sampling data taken from four research facilities over ten years. The approach was to use a Monte Carlo technique to create distributions of annual emission estimates for target compounds detected in source test samples. Distributions were created for each year and building sampled for compounds with sufficient detection frequency to qualify for the analysis. The results using the Monte Carlo technique without applying a filter to remove negative emission values showed almost all distributions spanning zero, and forty percent of the distributions having a negative mean. This indicates that emissions are so low as to be indistinguishable from building background. Application of a filter to allow only positive values in the distribution provided a more realistic value for emissions and increased the distribution mean by an average of sixteen percent. Release fractions were calculated by dividing the emission estimates by a building chemical inventory quantity. Two variations were used for this quantity: chemical usage, and chemical usage plus one-half standing inventory. Filters were applied so that only release fraction values from zero to one were included in the resulting distributions. Release fractions had a wide range among chemicals and among data sets for different buildings and/or years for a given chemical. Regressions of release fractions to molecular weight and vapor pressure showed weak correlations. Similarly, regressions of mean emissions to chemical usage, chemical inventory, molecular weight and vapor pressure also gave weak correlations. These results highlight the difficulties in estimating

  7. Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves

    SciTech Connect (OSTI)

    Wullschleger, Stan D; Gu, Lianhong; Pallardy, Stephen G.; Tu, Kevin; Law, Beverly E.

    2010-01-01

    The Farquhar-von Caemmerer-Berry (FvCB) model of photosynthesis is a change-point model and structurally overparameterized for interpreting the response of leaf net assimilation (A) to intercellular CO{sub 2} concentration (Ci). The use of conventional fitting methods may lead not only to incorrect parameters but also several previously unrecognized consequences. For example, the relationships between key parameters may be fixed computationally and certain fits may be produced in which the estimated parameters result in contradictory identification of the limitation states of the data. Here we describe a new approach that is better suited to the FvCB model characteristics. It consists of four main steps: (1) enumeration of all possible distributions of limitation states; (2) fitting the FvCB model to each limitation state distribution by minimizing a distribution-wise cost function that has desirable properties for parameter estimation; (3) identification and correction of inadmissible fits; and (4) selection of the best fit from all possible limitation state distributions. The new approach implemented theoretical parameter resolvability with numerical procedures that maximally use the information content of the data. It was tested with model simulations, sampled A/Ci curves, and chlorophyll fluorescence measurements of different tree species. The new approach is accessible through the automated website leafweb.ornl.gov.

  8. Meta-Analysis of Estimates of Life Cycle Greenhouse Gas Emissions from Concentrating Solar Power: Preprint

    SciTech Connect (OSTI)

    Heath, G. A.; Burkhardt, J. J.

    2011-09-01

    In reviewing life cycle assessment (LCA) literature of utility-scale CSP systems, this analysis focuses on clarifying central tendency and reducing variability in estimates of life cycle greenhouse gas (GHG) emissions through a meta-analytical process called harmonization. From 125 references reviewed, 10 produced 36 independent GHG emission estimates passing screens for quality and relevance: 19 for parabolic trough technology and 17 for power tower technology. The interquartile range (IQR) of published GHG emission estimates was 83 and 20 g CO2eq/kWh for trough and tower, respectively, with medians of 26 and 38 g CO2eq/kWh. 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. Compared to the published estimates, IQR was reduced by 69% and median increased by 76% for troughs. IQR was reduced by 26% for towers, and median was reduced by 34%. A second level of harmonization was applied to five well-documented trough LC GHG emission estimates, harmonizing to consistent values for GHG emissions embodied in materials and from construction activities. As a result, their median was further reduced by 5%, while the range increased by 6%. In sum, harmonization clarified previous results.

  9. A methodology to estimate greenhouse gases emissions in Life Cycle Inventories of wastewater treatment plants

    SciTech Connect (OSTI)

    Rodriguez-Garcia, G.; Moreira, M.T.

    2012-11-15

    The main objective of this paper is to present the Direct Emissions Estimation Model (DEEM), a model for the estimation of CO{sub 2} and N{sub 2}O emissions from a wastewater treatment plant (WWTP). This model is consistent with non-specific but widely used models such as AS/AD and ASM no. 1 and presents the benefits of simplicity and application over a common WWTP simulation platform, BioWin Registered-Sign , making it suitable for Life Cycle Assessment and Carbon Footprint studies. Its application in a Spanish WWTP indicates direct N{sub 2}O emissions to be 8 times larger than those associated with electricity use and thus relevant for LCA. CO{sub 2} emissions can be of similar importance to electricity-associated ones provided that 20% of them are of non-biogenic origin. - Highlights: Black-Right-Pointing-Pointer A model has been developed for the estimation of GHG emissions in WWTP. Black-Right-Pointing-Pointer Model was consistent with both ASM no. 1 and AS/AD. Black-Right-Pointing-Pointer N{sub 2}O emissions are 8 times more relevant than the one associated with electricity. Black-Right-Pointing-Pointer CO{sub 2} emissions are as important as electricity if 20% of it is non-biogenic.

  10. Optimize carbon dioxide sequestration, enhance oil recovery

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

    Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate ...

  11. Optimize carbon dioxide sequestration, enhance oil recovery

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

    Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate...

  12. Emissions of nitrogen oxides from US urban areas: estimation from Ozone Monitoring Instrument retrievals for 2005-2014

    SciTech Connect (OSTI)

    Lu, Z.; Streets, D. G.; de Foy, B.; Lamsal, L. N.; Duncan, B. N.; Xing, J.

    2015-05-28

    Satellite remote sensing of tropospheric nitrogen dioxide (NO2) can provide valuable information for estimating surface nitrogen oxides (NOx) emissions. Using an exponentially-modified Gaussian (EMG) method and taking into account the effect of wind on observed NO2 distributions, we estimate three-year moving-average emissions of summertime NOx from 35 US urban areas directly from NO2 retrievals of the Ozone Monitoring Instrument (OMI) during 2005–2014. Following the conclusions of previous studies that the EMG method provides robust and accurate emission estimates under strong-wind conditions, we derive top-down NOx emissions from each urban area by applying the EMG method to OMI data with wind speeds greater than 3–5 m s-1. Meanwhile, we find that OMI NO2 observations under weak-wind conditions (i.e., < 3 m s-1) are qualitatively better correlated with the surface NOx source strength in comparison to all-wind OMI maps; and therefore we use them to calculate the satellite-observed NO2 burdens of urban areas and compare with NOx emission estimates. The EMG results show that OMI-derived NOx emissions are highly correlated (R > 0.93) with weak-wind OMI NO2 burdens as well as bottom-up NOx emission estimates over 35 urban areas, implying a linear response of the OMI observations to surface emissions under weak-wind conditions. The simultaneous, EMG-obtained, effective NO2 lifetimes (~3.5 ± 1.3 h), however, are biased low in comparison to the summertime NO2 chemical lifetimes. In general, isolated urban areas with NOx emission intensities greater than ~ 2 Mg h-1 produce statistically significant weak-wind signals in three-year average OMI data. From 2005 to 2014, we estimate that total OMI

  13. Industrial market for sulfur dioxide emission-control systems. Final report. [Forecasting to 2000

    SciTech Connect (OSTI)

    Not Available

    1982-08-01

    Under the postulated EIA medium world oil price scenario, in which oil prices are projected to rise at a real rate of 2.2% per year, coal will represent from 78 to 91% of MFBI fuel consumption by the year 2000, up from the present 16%. This increase would occur even in the absence of FUA, because the cost of coal is substantially lower than the cost of oil or gas. Much of this market will develop in the relatively near to intermediate term (before 1990). Annual installations will be much lower (by about 40%) after that period, reflecting a lower overall steam demand growth rate and the fact that much of the discretionary conversion of gas and oil boilers to coal will have been completed. About 22% of the sales will be for discretionary conversion of oil and gas boilers still having some useful life; the rest will be for nondiscretionary expansion or replacement of worn-out boilers. Under the postulated cost and performance estimates for the competing coal-burning technologies, we expect that AFB combustors and lime spray dryer FGD systems will dominate the market, with 42% of the market in our base case scenario. If the attitudes of the industrial decision-makers are factored into the analyses, particularly their aversion to FGD systems with wet wastes, the AFB and lime spray dryer technologies will capture as much as 73% of the coal-burning market. Costs for the various flue gas desulfurization (FGD) technologies were projected to be sufficiently close that the selection of one over another will depend on site-specific factors such as the availability of waste disposal facilities, the demonstrated reliability of the particular systems, and the vendor's reputation.

  14. Geothermal Electrical Production CO2 Emissions Study

    SciTech Connect (OSTI)

    K. K. Bloomfield; J. N. Moore

    1999-10-01

    Emission of �greenhouse gases� into the environment has become an increasing concern. Deregulation of the electrical market will allow consumers to select power suppliers that utilize �green power.� Geothermal power is classed as �green power� and has lower emissions of carbon dioxide per kilowatt-hour of electricity than even the cleanest of fossil fuels, natural gas. However, previously published estimates of carbon dioxide emissions are relatively old and need revision. This study estimates that the average carbon dioxide emissions from geothermal and fossil fuel power plants are: geothermal 0.18 , coal 2.13, petroleum 1.56 , and natural gas 1.03 pounds of carbon dioxide per kilowatt-hour respectively.

  15. Geothermal Electrical Production CO2 Emissions Study

    SciTech Connect (OSTI)

    Bloomfield, Kevin Kit; Moore, J. N.

    1999-10-01

    Emission of “greenhouse gases” into the environment has become an increasing concern. Deregulation of the electrical market will allow consumers to select power suppliers that utilize “green power.” Geothermal power is classed as “green power” and has power emissions of carbon dioxide per kilowatt-hour of electricity than even the cleanest of fossil fuels, natural gas. However, previously published estimates of carbon dioxide emissions are relatively old and need revision. This study estimates that the average carbon dioxide emissions from geothermal and fossil fuel power plants are: geothermal 0.18 , coal 2.13, petroleum 1.56 , and natural gas 1.03 pounds of carbon dioxide per kilowatt-hour respectively.

  16. Estimates of the Global Indirect Energy-Use Emission Impacts of USA Biofuel Policy

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A

    2012-01-01

    This paper evaluates the indirect energy-use emission implications of increases in the use of biofuels in the USA between 2001 and 2010 as mandates within a dynamic global computable general equilibrium model. The study incorporates explicit markets for biofuels, petroleum and other fossil fuels, and accounts for interactions among all sectors of an 18-region global economy. It considers bilateral trade, as well as the dynamics of capital allocation and investment. Simulation results show that the biofuel mandates in the USA generate an overall reduction in global energy use and emissions over the simulation period from 2001 to 2030. Consequently, the indirect energy-use emission change or emission leakage under the mandate is negative. That is, global emission reductions are larger than the direct emission savings from replacing petroleum with biofuels under the USA RFS2 over the last decade. Under our principal scenario this enhanced the direct emission reduction from biofuels by about 66%. The global change in lifecycle energy-use emissions for this scenario was estimated to be about 93 million tons of CO2e in 2010, 45 million tons of CO2e in 2020, and an increase of 5 million tons of CO2e in 2030, relative to the baseline scenario. Sensitivity results of six alternative scenarios provided additional insights into the pattern of the regional and global effects of biofuel mandates on energy-use emissions.

  17. Emissions of greenhouse gases in the United States 1995

    SciTech Connect (OSTI)

    1996-10-01

    This is the fourth Energy Information Administration (EIA) annual report on US emissions of greenhouse gases. This report presents estimates of US anthropogenic (human-caused) emissions of carbon dioxide, methane, nitrous oxide, and several other greenhouse gases for 1988 through 1994. Estimates of 1995 carbon dioxide, nitrous oxide, and halocarbon emissions are also provided, although complete 1995 estimates for methane are not yet available. Emissions of carbon dioxide increased by 1.9% from 1993 to 1994 and by an additional 0.8% from 1994 to 1995. Most carbon dioxide emissions are caused by the burning of fossil fuels for energy consumption, which is strongly related to economic growth, energy prices, and weather. The US economy grew rapidly in 1994 and slowed in 1995. Estimated emissions of methane increased slightly in 1994, as a result of a rise in emissions from energy and agricultural sources. Estimated nitrous oxide emissions increased by 1.8% in 1995, primarily due to increased use of nitrogen fertilizers and higher output of chemicals linked to nitrous oxide emissions. Estimated emissions of hydrofluorocarbons (HFCs) and perfluorocarbons (PFCs), which are known to contribute to global warming, increased by nearly 11% in 1995, primarily as a result of increasing substitution for chlorofluorocarbons (CFCs). With the exception of methane, the historical emissions estimates presented in this report are only slightly revised from those in last year`s report.

  18. Review of cost estimates for reducing CO2 emissions. Final report, Task 9

    SciTech Connect (OSTI)

    Not Available

    1990-10-01

    Since the ground breaking work of William Nordhaus in 1977, cost estimates for reducing CO{sub 2} emissions have been developed by numerous groups. The various studies have reported sometimes widely divergent cost estimates for reducing CO{sub 2} emissions. Some recent analyses have indicated that large reductions in CO{sub 2} emissions could be achieved at zero or negative costs (e.g. Rocky Mountain Institute 1989). In contrast, a recent study by Alan Manne of Stanford and Richard Richels of the Electric Power Research Institute (Manne-Richels 1989) concluded that in the US the total discounted costs of reducing CO{sub 2} emissions by 20 percent below the 1990 level could be as much as 3.6 trillion dollars over the period from 1990 to 2100. Costs of this order of magnitude would represent about 5 percent of US GNP. The purpose of this briefing paper is to summarize the different cost estimates for CO{sub 2} emission reduction and to identify the key issues and assumptions that underlie these cost estimates.

  19. A comparison of estimates of cost-effectiveness of alternative fuels and vehicles for reducing emissions

    SciTech Connect (OSTI)

    Hadder, G.R.

    1995-11-01

    The cost-effectiveness ratio (CER) is a measure of the monetary value of resources expended to obtain reductions in emissions of air pollutants. The CER can lead to selection of the most effective sequence of pollution reduction options. Derived with different methodologies and technical assumptions, CER estimates for alternative fuel vehicles (AFVs) have varied widely among pervious studies. In one of several explanations of LCER differences, this report uses a consistent basis for fuel price to re-estimate CERs for AFVs in reduction of emissions of criteria pollutants, toxics, and greenhouse gases. The re-estimated CERs for a given fuel type have considerable differences due to non-fuel costs and emissions reductions, but the CERs do provide an ordinal sense of cost-effectiveness. The category with CER less than $5,000 per ton includes compressed natural gas and ed Petroleum gas vehicles; and E85 flexible-fueled vehicles (with fuel mixture of 85 percent cellulose-derived ethanol in gasoline). The E85 system would be much less attractive if corn-derived ethanol were used. The CER for E85 (corn-derived) is higher with higher values placed on the reduction of gas emissions. CER estimates are relative to conventional vehicles fueled with Phase 1 California reformulated gasoline (RFG). The California Phase 2 RFG program will be implemented before significant market penetration by AFVs. CERs could be substantially greater if they are calculated incremental to the Phase 2 RFG program. Regression analysis suggests that different assumptions across studies can sometimes have predictable effects on the CER estimate of a particular AFV type. The relative differences in cost and emissions reduction assumptions can be large, and the effect of these differences on the CER estimate is often not predictable. Decomposition of CERs suggests that methodological differences can make large contributions to CER differences among studies.

  20. Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District: Preprint

    SciTech Connect (OSTI)

    Chen, Yuche; Young, Stanley; Gonder, Jeff; Qi, Xuewei

    2015-12-11

    This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points to the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.

  1. Estimate of Fuel Consumption and GHG Emission Impact from an Automated Mobility District

    SciTech Connect (OSTI)

    Chen, Yuche; Young, Stanley; Qi, Xuewei; Gonder, Jeffrey

    2015-10-19

    This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points to the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.

  2. NMOG Emissions Characterizations and Estimation for Vehicles Using Ethanol-Blended Fuels

    SciTech Connect (OSTI)

    Sluder, Scott; West, Brian H

    2011-10-01

    Ethanol is a biofuel commonly used in gasoline blends to displace petroleum consumption; its utilization is on the rise in the United States, spurred by the biofuel utilization mandates put in place by the Energy Independence and Security Act of 2007 (EISA). The United States Environmental Protection Agency (EPA) has the statutory responsibility to implement the EISA mandates through the promulgation of the Renewable Fuel Standard. EPA has historically mandated an emissions certification fuel specification that calls for ethanol-free fuel, except for the certification of flex-fuel vehicles. However, since the U.S. gasoline marketplace is now virtually saturated with E10, some organizations have suggested that inclusion of ethanol in emissions certification fuels would be appropriate. The test methodologies and calculations contained in the Code of Federal Regulations for gasoline-fueled vehicles have been developed with the presumption that the certification fuel does not contain ethanol; thus, a number of technical issues would require resolution before such a change could be accomplished. This report makes use of the considerable data gathered during the mid-level blends testing program to investigate one such issue: estimation of non-methane organic gas (NMOG) emissions. The data reported in this paper were gathered from over 600 cold-start Federal Test Procedure (FTP) tests conducted on 68 vehicles representing 21 models from model year 2000 to 2009. Most of the vehicles were certified to the Tier-2 emissions standard, but several older Tier-1 and national low emissions vehicle program (NLEV) vehicles were also included in the study. Exhaust speciation shows that ethanol, acetaldehyde, and formaldehyde dominate the oxygenated species emissions when ethanol is blended into the test fuel. A set of correlations were developed that are derived from the measured non-methane hydrocarbon (NMHC) emissions and the ethanol blend level in the fuel. These correlations were

  3. NMOG Emissions Characterization and Estimation for Vehicles Using Ethanol-Blended Fuels

    SciTech Connect (OSTI)

    Sluder, Scott; West, Brian H

    2012-01-01

    Ethanol is a biofuel commonly used in gasoline blends to displace petroleum consumption; its utilization is on the rise in the United States, spurred by the biofuel utilization mandates put in place by the Energy Independence and Security Act of 2007 (EISA). The United States Environmental Protection Agency (EPA) has the statutory responsibility to implement the EISA mandates through the promulgation of the Renewable Fuel Standard. EPA has historically mandated an emissions certification fuel specification that calls for ethanol-free fuel, except for the certification of flex-fuel vehicles. However, since the U.S. gasoline marketplace is now virtually saturated with E10, some organizations have suggested that inclusion of ethanol in emissions certification fuels would be appropriate. The test methodologies and calculations contained in the Code of Federal Regulations for gasoline-fueled vehicles have been developed with the presumption that the certification fuel does not contain ethanol; thus, a number of technical issues would require resolution before such a change could be accomplished. This report makes use of the considerable data gathered during the mid-level blends testing program to investigate one such issue: estimation of non-methane organic gas (NMOG) emissions. The data reported in this paper were gathered from over 600 cold-start Federal Test Procedure (FTP) tests conducted on 68 vehicles representing 21 models from model year 2000 to 2009. Most of the vehicles were certified to the Tier-2 emissions standard, but several older Tier-1 and national low emissions vehicle program (NLEV) vehicles were also included in the study. Exhaust speciation shows that ethanol, acetaldehyde, and formaldehyde dominate the oxygenated species emissions when ethanol is blended into the test fuel. A set of correlations were developed that are derived from the measured non-methane hydrocarbon (NMHC) emissions and the ethanol blend level in the fuel. These correlations were

  4. A Multi-tower Measurement Network Estimate of California's Methane Emissions

    SciTech Connect (OSTI)

    Jeong, Seongeun; Hsu, Ying-Kuang; Andrews, Arlyn E.; Bianco, Laura; Vaca, Patrick; Wilczak, James M.; Fischer, Marc L.

    2013-12-02

    We present an analysis of methane (CH{sub 4}) emissions using atmospheric observations from five sites in California’s Central Valley across different seasons (September 2010 to June 2011). CH{sub 4} emissions for spatial regions and source sectors are estimated by comparing measured CH{sub 4} mixing ratios with transport model (WRF-STILT) predictions based on two 0.1 degree CH{sub 4} (seasonally varying “California-specific” (CALGEM) and a static global (EDGAR42)) prior emission models. Region-specific Bayesian analyses indicate that for California’s Central Valley the CALGEM- and EDGAR42-based inversions provide consistent annual total CH{sub 4} emissions (32.87±2.09 vs. 31.60±2.17 Tg CO{sub 2}eq yr{sup -1}; 68% C.I., assuming uncorrelated errors between regions). Summing across all regions of California, optimized CH{sub 4} emissions are only marginally consistent between CALGEM- and EDGAR42-based inversions (48.35±6.47 vs. 64.97±11.85 Tg CO{sub 2}eq), because emissions from coastal urban regions (where landfill and natural gas emissions are much higher in EDGAR than CALGEM) are not strongly constrained by the measurements. Combining our results with those from a recent study of the South Coast air basin narrows the range of estimates to 43 – 57 Tg CO{sub 2}eq yr{sup -1} (1.3 - 1.8 times higher than the current state inventory). These results suggest that the combination of rural and urban measurements will be necessary to verify future changes in California’s total CH{sub 4} emissions.

  5. Applications of carbon dioxide capture and storage technologies in reducing emissions from fossil-fired power plants

    SciTech Connect (OSTI)

    Balat, M.; Balat, H.; Oz, C.

    2009-07-01

    The aim of this paper is to investigate the global contribution of carbon capture and storage technologies to mitigating climate change. Carbon capture and storage is a technology that comprises the separation of from carbon dioxide industrial- and energy-related sources, transport to a storage location (e.g., saline aquifers and depleted hydrocarbon fields), and long-term isolation from the atmosphere. The carbon dioxides emitted directly at the power stations are reduced by 80 to 90%. In contrast, the life cycle assessment shows substantially lower reductions of greenhouse gases in total (minus 65 to 79%).

  6. A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion

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

    Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.

    2015-04-29

    Atmospheric inversions are frequently used to estimate fluxes of atmospheric greenhouse gases (e.g., biospheric CO2 flux fields) at Earth's surface. These inversions typically assume that flux departures from a prior model are spatially smoothly varying, which are then modeled using a multi-variate Gaussian. When the field being estimated is spatially rough, multi-variate Gaussian models are difficult to construct and a wavelet-based field model may be more suitable. Unfortunately, such models are very high dimensional and are most conveniently used when the estimation method can simultaneously perform data-driven model simplification (removal of model parameters that cannot be reliably estimated) and fitting.more » Such sparse reconstruction methods are typically not used in atmospheric inversions. In this work, we devise a sparse reconstruction method, and illustrate it in an idealized atmospheric inversion problem for the estimation of fossil fuel CO2 (ffCO2) emissions in the lower 48 states of the USA. Our new method is based on stagewise orthogonal matching pursuit (StOMP), a method used to reconstruct compressively sensed images. Our adaptations bestow three properties to the sparse reconstruction procedure which are useful in atmospheric inversions. We have modified StOMP to incorporate prior information on the emission field being estimated and to enforce non-negativity on the estimated field. Finally, though based on wavelets, our method allows for the estimation of fields in non-rectangular geometries, e.g., emission fields inside geographical and political boundaries. Our idealized inversions use a recently developed multi-resolution (i.e., wavelet-based) random field model developed for ffCO2 emissions and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also

  7. Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District: Preprint

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

    Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District Preprint Yuche Chen, Stanley Young, and Jeff Gonder National Renewable Energy Laboratory Xuewei Qi University of California Riverside Presented at the 4th International Conference on Connected Vehicles & Expo (ICCVE 2015) Shenzhen, China October 19-23, 2015 Conference Paper NREL/CP-5400-65257 December 2015 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable

  8. Estimating Bacteria Emissions from Inversion of Atmospheric Transport: Sensitivity to Modelled Particle Characteristics

    SciTech Connect (OSTI)

    Burrows, Susannah M.; Rayner, Perter; Butler, T.; Lawrence, M.

    2013-06-04

    Model-simulated transport of atmospheric trace components can be combined with observed concentrations to obtain estimates of ground-based sources using various inversion techniques. These approaches have been applied in the past primarily to obtain source estimates for long-lived trace gases such as CO2. We consider the application of similar techniques to source estimation for atmospheric aerosols, by using as a case study the estimation of bacteria emissions from different ecosystem regions in the global atmospheric chemistry and climate model ECHAM5/MESSy-Atmospheric Chemistry (EMAC). Simulated particle concentrations in the tropopause region and at high latitudes, as well as transport of particles to tundra and land ice regions are shown to be highly sensitive to scavenging in mixed-phase clouds, which is poorly characterized in most global climate models. This may be a critical uncertainty in correctly simulating the transport of aerosol particles to the Arctic. Source estimation via Monte Carlo Markov Chain is applied to a suite of sensitivity simulations and the global mean emissions are estimated. We present an analysis of the partitioning of uncertainties in the global mean emissions that are attributable to particle size, CCN activity, the ice nucleation scavenging ratios for mixed-phase and cold clouds, and measurement error. Uncertainty due to CCN activity or to a 1 um error in particle size is typically between 10% and 40% of the uncertainty due to data uncertainty, as measured by the 5%-ile to 95%-ile range of the Monte Carlo ensemble. Uncertainty attributable to the ice nucleation scavenging ratio in mized-phase clouds is as high as 10% to 20% of the data uncertainty. Taken together, the four model 20 parameters examined contribute about half as much to the uncertainty in the estimated emissions as do the measurements. This was a surprisingly large contribution from model uncertainty in light of the substantial data uncertainty, which ranges from 81

  9. A sparse reconstruction method for the estimation of multiresolution emission fields via atmospheric inversion

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

    Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.

    2014-08-20

    We present a sparse reconstruction scheme that can also be used to ensure non-negativity when fitting wavelet-based random field models to limited observations in non-rectangular geometries. The method is relevant when multiresolution fields are estimated using linear inverse problems. Examples include the estimation of emission fields for many anthropogenic pollutants using atmospheric inversion or hydraulic conductivity in aquifers from flow measurements. The scheme is based on three new developments. Firstly, we extend an existing sparse reconstruction method, Stagewise Orthogonal Matching Pursuit (StOMP), to incorporate prior information on the target field. Secondly, we develop an iterative method that uses StOMP tomore » impose non-negativity on the estimated field. Finally, we devise a method, based on compressive sensing, to limit the estimated field within an irregularly shaped domain. We demonstrate the method on the estimation of fossil-fuel CO2 (ffCO2) emissions in the lower 48 states of the US. The application uses a recently developed multiresolution random field model and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also reduces the overall computational cost by a factor of two. Further, the sparse reconstruction scheme imposes non-negativity without introducing strong nonlinearities, such as those introduced by employing log-transformed fields, and thus reaps the benefits of simplicity and computational speed that are characteristic of linear inverse problems.« less

  10. The Greenhouse Gas Protocol Initiative: GHG Emissions from Transport...

    Open Energy Info (EERE)

    Outputs include: The tool outputs greenhouse gas emissions (including carbon dioxide, methane, nitrous oxide, carbon dioxide equivalent, and biogenic carbon dioxide) for each...

  11. Bisphosphine dioxides

    DOE Patents [OSTI]

    Moloy, K.G.

    1990-02-20

    A process is described for the production of organic bisphosphine dioxides from organic bisphosphonates. The organic bisphosphonate is reacted with a Grignard reagent to give relatively high yields of the organic bisphosphine dioxide.

  12. Bisphosphine dioxides

    DOE Patents [OSTI]

    Moloy, Kenneth G.

    1990-01-01

    A process for the production of organic bisphosphine dioxides from organic bisphosphonates. The organic bisphosphonate is reacted with a Grignard reagent to give relatively high yields of the organic bisphosphine dioxide.

  13. Large Scale U.S. Unconventional Fuels Production and the Role of Carbon Dioxide Capture and Storage Technologies in Reducing Their Greenhouse Gas Emissions

    SciTech Connect (OSTI)

    Dooley, James J.; Dahowski, Robert T.

    2008-11-18

    This paper examines the role that carbon dioxide capture and storage technologies could play in reducing greenhouse gas emissions if a significant unconventional fuels industry were to develop within the United States. Specifically, the paper examines the potential emergence of a large scale domestic unconventional fuels industry based on oil shale and coal-to-liquids (CTL) technologies. For both of these domestic heavy hydrocarbon resources, this paper models the growth of domestic production to a capacity of 3 MMB/d by 2050. For the oil shale production case, we model large scale deployment of an in-situ retorting process applied to the Eocene Green River formation of Colorado, Utah, and Wyoming where approximately 75% of the high grade oil shale resources within the United States lies. For the CTL case, we examine a more geographically dispersed coal-based unconventional fuel industry. This paper examines the performance of these industries under two hypothetical climate policies and concludes that even with the wide scale availability of cost effective carbon dioxide capture and storage technologies, these unconventional fuels production industries would be responsible for significant increases in CO2 emissions to the atmosphere. The oil shale production facilities required to produce 3MMB/d would result in net emissions to the atmosphere of between 3000-7000 MtCO2 in addition to storing potentially 1000 to 5000 MtCO2 in regional deep geologic formations in the period up to 2050. A similarly sized domestic CTL industry could result in 4000 to 5000 MtCO2 emitted to the atmosphere in addition to potentially 21,000 to 22,000 MtCO2 stored in regional deep geologic formations over the same period up to 2050. Preliminary analysis of regional CO2 storage capacity in locations where such facilities might be sited indicates that there appears to be sufficient storage capacity, primarily in deep saline formations, to accommodate the CO2 from these industries. However

  14. Carbon Dioxide Information Analysis Center (CDIAC)-Fossil Fuel...

    Open Energy Info (EERE)

    Fuel CO2 Emissions Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Carbon Dioxide Information Analysis Center (CDIAC)-Fossil Fuel CO2 Emissions AgencyCompany...

  15. 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...

  16. Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data

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

    Turner, A. J.; Jacob, D. J.; Wecht, K. J.; Maasakkers, J. D.; Lundgren, E.; Andrews, A. E.; Biraud, S. C.; Boesch, H.; Bowman, K. W.; Deutscher, N. M.; et al

    2015-06-30

    We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOSAT) to estimate global and North American methane emissions with 4° × 5° and up to 50 km × 50 km spatial resolution, respectively. GEOS-Chem and GOSAT data are first evaluated with atmospheric methane observations from surface and tower networks (NOAA/ESRL, TCCON) and aircraft (NOAA/ESRL, HIPPO), using the GEOS-Chem chemical transport model as a platform to facilitate comparison of GOSAT with in situ data. This identifies a high-latitude bias between the GOSAT data and GEOS-Chem that we correct via quadratic regression. Our global adjoint-based inversion yields a totalmore » methane source of 539 Tg a−1 with some important regional corrections to the EDGARv4.2 inventory used as a prior. Results serve as dynamic boundary conditions for an analytical inversion of North American methane emissions using radial basis functions to achieve high resolution of large sources and provide error characterization. We infer a US anthropogenic methane source of 40.2–42.7 Tg a−1, as compared to 24.9–27.0 Tg a−1 in the EDGAR and EPA bottom-up inventories, and 30.0–44.5 Tg a−1 in recent inverse studies. Our estimate is supported by independent surface and aircraft data and by previous inverse studies for California. We find that the emissions are highest in the southern–central US, the Central Valley of California, and Florida wetlands; large isolated point sources such as the US Four Corners also contribute. Using prior information on source locations, we attribute 29–44 % of US anthropogenic methane emissions to livestock, 22–31 % to oil/gas, 20 % to landfills/wastewater, and 11–15 % to coal. Wetlands contribute an additional 9.0–10.1 Tg a−1.« less

  17. Estimating Total Energy Consumption and Emissions of China's Commercial and Office Buildings

    SciTech Connect (OSTI)

    Fridley, David; Fridley, David G.; Zheng, Nina; Zhou, Nan

    2008-03-01

    Buildings represent an increasingly important component of China's total energy consumption mix. However, accurately assessing the total volume of energy consumed in buildings is difficult owing to deficiencies in China's statistical collection system and a lack of national surveys. Official statistics suggest that buildings account for about 19% of China's total energy consumption, while others estimate the proportion at 23%, rising to 30% over the next few years. In addition to operational energy, buildings embody the energy used in the in the mining, extraction, harvesting, processing, manufacturing and transport of building materials as well as the energy used in the construction and decommissioning of buildings. This embodied energy, along with a building's operational energy, constitutes the building's life-cycle energy and emissions footprint. This report first provides a review of international studies on commercial building life-cycle energy use from which data are derived to develop an assessment of Chinese commercial building life-cycle energy use, then examines in detail two cases for the development of office building operational energy consumption to 2020. Finally, the energy and emissions implications of the two cases are presented.

  18. Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data

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

    Turner, A. J.; Jacob, D. J.; Wecht, K. J.; Maasakkers, J. D.; Biraud, S. C.; Boesch, H.; Bowman, K. W.; Deutscher, N. M.; Dubey, M. K.; Griffith, D. W. T.; et al

    2015-02-18

    We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOSAT) to constrain global and North American inversions of methane emissions with 4° × 5° and up to 50 km × 50 km spatial resolution, respectively. The GOSAT data are first evaluated with atmospheric methane observations from surface networks (NOAA, TCCON) and aircraft (NOAA/DOE, HIPPO), using the GEOS-Chem chemical transport model as a platform to facilitate comparison of GOSAT with in situ data. This identifies a high-latitude bias between the GOSAT data and GEOS-Chem that we correct via quadratic regression. The surface and aircraft data are subsequently usedmore » for independent evaluation of the methane source inversions. Our global adjoint-based inversion yields a total methane source of 539 Tg a−1 and points to a large East Asian overestimate in the EDGARv4.2 inventory used as a prior. Results serve as dynamic boundary conditions for an analytical inversion of North American methane emissions using radial basis functions to achieve high resolution of large sources and provide full error characterization. We infer a US anthropogenic methane source of 40.2–42.7 Tg a−1, as compared to 24.9–27.0 Tg a−1 in the EDGAR and EPA bottom-up inventories, and 30.0–44.5 Tg a−1 in recent inverse studies. Our estimate is supported by independent surface and aircraft data and by previous inverse studies for California. We find that the emissions are highest in the South-Central US, the Central Valley of California, and Florida wetlands, large isolated point sources such as the US Four Corners also contribute. We attribute 29–44% of US anthropogenic methane emissions to livestock, 22–31% to oil/gas, 20% to landfills/waste water, and 11–15% to coal with an additional 9.0–10.1 Tg a−1 source from wetlands.« less

  19. Kalman-filtered compressive sensing for high resolution estimation of anthropogenic greenhouse gas emissions from sparse measurements.

    SciTech Connect (OSTI)

    Ray, Jaideep; Lee, Jina; Lefantzi, Sophia; Yadav, Vineet; Michalak, Anna M.; van Bloemen Waanders, Bart Gustaaf; McKenna, Sean Andrew

    2013-09-01

    The estimation of fossil-fuel CO2 emissions (ffCO2) from limited ground-based and satellite measurements of CO2 concentrations will form a key component of the monitoring of treaties aimed at the abatement of greenhouse gas emissions. The limited nature of the measured data leads to a severely-underdetermined estimation problem. If the estimation is performed at fine spatial resolutions, it can also be computationally expensive. In order to enable such estimations, advances are needed in the spatial representation of ffCO2 emissions, scalable inversion algorithms and the identification of observables to measure. To that end, we investigate parsimonious spatial parameterizations of ffCO2 emissions which can be used in atmospheric inversions. We devise and test three random field models, based on wavelets, Gaussian kernels and covariance structures derived from easily-observed proxies of human activity. In doing so, we constructed a novel inversion algorithm, based on compressive sensing and sparse reconstruction, to perform the estimation. We also address scalable ensemble Kalman filters as an inversion mechanism and quantify the impact of Gaussian assumptions inherent in them. We find that the assumption does not impact the estimates of mean ffCO2 source strengths appreciably, but a comparison with Markov chain Monte Carlo estimates show significant differences in the variance of the source strengths. Finally, we study if the very different spatial natures of biogenic and ffCO2 emissions can be used to estimate them, in a disaggregated fashion, solely from CO2 concentration measurements, without extra information from products of incomplete combustion e.g., CO. We find that this is possible during the winter months, though the errors can be as large as 50%.

  20. Economic Benefits, Carbon Dioxide (CO2) Emissions Reduction, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Georgia (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-06-01

    The U.S. Department of Energy's Wind Powering America Program is committed to educating state-level policy makers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Georgia. We forecast the cumulative economic benefits from 1000 MW of development in Georgia to be $2.1 billion, annual CO2 reductions are estimated at 3.0 million tons, and annual water savings are 1,628 million gallons.

  1. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Arizona (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Arizona. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in Arizona to be $1.15 billion, annual CO2 reductions are estimated at 2.0 million tons, and annual water savings are 818 million gallons.

  2. Comparison of Methods for Estimating the NOx Emission Impacts of Energy Efficiency and Renewable Energy Projects: Shreveport, Louisiana Case Study (Revised)

    SciTech Connect (OSTI)

    Chambers, A.; Kline, D. M.; Vimmerstedt, L.; Diem, A.; Dismukes, D.; Mesyanzhinov, D.

    2005-07-01

    This is a case study comparing methods of estimating the NOx emission impacts of energy efficiency and renewable energy projects in Shreveport, Louisiana.

  3. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

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

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; et al

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km × 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research andmore » Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 ± 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 ± 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 ± 8.1 Mg CH4/h in the SoCAB.« less

  4. Estimates of global, regional, and national annual CO{sub 2} emissions from fossil-fuel burning, hydraulic cement production, and gas flaring: 1950--1992

    SciTech Connect (OSTI)

    Boden, T.A.; Marland, G.; Andres, R.J.

    1995-12-01

    This document describes the compilation, content, and format of the most comprehensive C0{sub 2}-emissions database currently available. The database includes global, regional, and national annual estimates of C0{sub 2} emissions resulting from fossil-fuel burning, cement manufacturing, and gas flaring in oil fields for 1950--92 as well as the energy production, consumption, and trade data used for these estimates. The methods of Marland and Rotty (1983) are used to calculate these emission estimates. For the first time, the methods and data used to calculate CO, emissions from gas flaring are presented. This C0{sub 2}-emissions database is useful for carbon-cycle research, provides estimates of the rate at which fossil-fuel combustion has released C0{sub 2} to the atmosphere, and offers baseline estimates for those countries compiling 1990 C0{sub 2}-emissions inventories.

  5. Estimating U.S. Methane Emissions from the Natural Gas Supply...

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

    is to develop the empirical foundation for activity factor uncertainty estimation. 6. Transparency and credibility of inventory estimates can be improved by bolstering...

  6. Locating and estimating air emissions from sources of arsenic and arsenic compounds. Final report

    SciTech Connect (OSTI)

    1998-06-01

    This document describes the properties of arsenic and arsenic compounds as air pollutants, defines production and use patterns, identifies source categories of air emissions, and provides emission factors. Arsenic is emitted as an air pollutant from external combustion boilers, municipal and hazardous waste incineration, primary copper and zinc smelting, glass manufacturing, copper ore mining, and primary and secondary lead smelting. Emissions of arsenic from these activities are due to the presence of trace amounts of arsenic in fuels and materials being processed. In such cases, the emissions may be quite variable because the trace presence of arsenic is not constant. Arsenic emissions also occur from agricultural chemical production and application, and also from metal processing due to the use of arsenic in these activities. In addition to the arsenic source information, information is provided that specifies how individual sources of arsenic may be tested to quantify air emissions.

  7. Influence of wind speed averaging on estimates of dimethylsulfide emission fluxes

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

    Chapman, E. G.; Shaw, W. J.; Easter, R. C.; Bian, X.; Ghan, S. J.

    2002-12-03

    The effect of various wind-speed-averaging periods on calculated DMS emission fluxes is quantitatively assessed. Here, a global climate model and an emission flux module were run in stand-alone mode for a full year. Twenty-minute instantaneous surface wind speeds and related variables generated by the climate model were archived, and corresponding 1-hour-, 6-hour-, daily-, and monthly-averaged quantities calculated. These various time-averaged, model-derived quantities were used as inputs in the emission flux module, and DMS emissions were calculated using two expressions for the mass transfer velocity commonly used in atmospheric models. Results indicate that the time period selected for averaging wind speedsmore » can affect the magnitude of calculated DMS emission fluxes. A number of individual marine cells within the global grid show DMS emissions fluxes that are 10-60% higher when emissions are calculated using 20-minute instantaneous model time step winds rather than monthly-averaged wind speeds, and at some locations the differences exceed 200%. Many of these cells are located in the southern hemisphere where anthropogenic sulfur emissions are low and changes in oceanic DMS emissions may significantly affect calculated aerosol concentrations and aerosol radiative forcing.« less

  8. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in North Carolina (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-03-01

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in North Carolina. Although construction and operation of 1000 MW of wind power is a significant effort, seven states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in North Carolina to be $1.1 billion, annual CO2 reductions are estimated at 2.9 million tons, and annual water savings are 1,558 million gallons.

  9. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Maine (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Maine. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in Maine to be $1.3 billion, annual CO2 reductions are estimated at 2.8 million tons, and annual water savings are 1,387 million gallons.

  10. EIA - Greenhouse Gas Emissions - Carbon Dioxide Emissions

    Gasoline and Diesel Fuel Update (EIA)

    Annual Coal Distribution Report > Annual Coal Distribution Archives Annual Coal Distribution Archive Release Date: February 17, 2011 Next Release Date: December 2011 Domestic coal distribution by origin State, destination State, consumer category, method of transportation; foreign coal distribution by major coal-exporting state and method of transportation; and domestic and foreign coal distribution by origin state. Year Domestic and foreign distribution of U.S. coal by State of origin

  11. Experimental estimation of oxidation-induced Si atoms emission on Si(001) surfaces

    SciTech Connect (OSTI)

    Ogawa, Shuichi Tang, Jiayi; Takakuwa, Yuji

    2015-08-15

    Kinetics of Si atoms emission during the oxidation of Si(001) surfaces have been investigated using reflection high energy electron diffraction combined with Auger electron spectroscopy. The area ratio of the 1 × 2 and the 2 × 1 domains on a clean Si(001) surface changed with the oxidation of the surface by Langmuir-type adsorption. This change in the domain ratio is attributed to the emission of Si atoms. We can describe the changes in the domain ratio using the Si emission kinetics model, which states that (1) the emission rate is proportional to the oxide coverage, and (2) the emitted Si atoms migrate on the surface and are trapped at S{sub B} steps. Based on our model, we find experimentally that up to 0.4 ML of Si atoms are emitted during the oxidation of a Si(001) surface at 576 °C.

  12. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

    SciTech Connect (OSTI)

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; Ryerson, Thomas B.; Wofsy, Steve C.; Santoni, Gregory W.; Kort, Eric A.; Fischer, Marc L.; Trainer, Michael

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research and Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 8.1 Mg CH4/h in the SoCAB.

  13. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

    SciTech Connect (OSTI)

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; Ryerson, Thomas B.; Wofsy, Steve C.; Santoni, Gregory W.; Kort, Eric A.; Fischer, Marc L.; Trainer, Michael

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km × 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research and Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 ± 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 ± 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 ± 8.1 Mg CH4/h in the SoCAB.

  14. Carbon dioxide power plant for total emission control and enhanced oil recovery. [Removal, storage, and use of CO/sub 2/

    SciTech Connect (OSTI)

    Horn, F L; Steinberg, M

    1981-08-01

    The design of a compact environmentally acceptable carbon dioxide diluted coal-oxygen fired power plant is described. The plant releases no combustion products to the atmosphere. The oxygen for combustion is separated in an air liquefaction plant and the effluent nitrogen is available for use in oil well production. Recycle carbon dioxide mixed with oxygen replaces the nitrogen for the combustion of coal in the burners. The carbon dioxide produced is used in enhanced oil recovery operations and injected into spent wells and excavated salt cavities for long-term storage. The recovery of CO/sub 2/ from a coal-burning power plant by this method appears to have the lowest energy expenditure and the lowest byproduct cost compared to alternative removal and recovery processes.

  15. Determination of landfill gas composition and pollutant emission rates at fresh kills landfill. Volume 1. Project report. Final report

    SciTech Connect (OSTI)

    1995-12-07

    Air emissions of landfill gas pollutants at Fresh Kills Landfill, located in Staten Island, NY, were estimated based on three weeks of sampling of flow, concentration, and flux at passive vents, gas extraction wells, gas collection plant headers, and the landfill surface conducted by Radian Corporation in 1995. Emission rates were estimated for 202 pollutants, including hydrogen sulfide, mercury vapor, speciated volatile organic compounds, methane, and carbon dioxide. Results indicate that large amounts of mercury enter the methane, and carbon dioxide. Results indicate that large amounts of mercury enter the methane recovery plant. Emission factors based on the results are presented.

  16. Calculators for Estimating Greenhouse Gas Emissions from Public Transit Agency Vehicle Fleet Operations

    SciTech Connect (OSTI)

    Weigel, Brent; Southworth, Frank; Meyer, Michael D

    2010-01-01

    This paper reviews calculation tools available for quantifying the greenhouse gas emissions associated with different types of public transit service, and their usefulness in helping a transit agency to reduce its carbon footprint through informed vehicle and fuel procurement decisions. Available calculators fall into two categories: registry/inventory based calculators most suitable for standardized voluntary reporting, carbon trading, and regulatory compliance; and multi-modal life cycle analysis calculators that seek comprehensive coverage of all direct and indirect emissions. Despite significant progress in calculator development, no single calculator as yet contains all of the information needed by transit agencies to develop a truly comprehensive, life cycle analysis-based accounting of the emissions produced by its vehicle fleet operations, and for a wide range of vehicle/fuel technology options.

  17. The Greenhouse Gas Protocol Initiative: GHG Emissions from Purchased...

    Open Energy Info (EERE)

    Outputs include: The tool outputs greenhouse gas emissions (carbon dioxide, methane, nitrous oxide, and carbon dioxide equivalent) for each facility as well as total...

  18. EIA - Greenhouse Gas Emissions Overview

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

    grasslands 34 Net carbon dioxide sequestration in U.S. urban trees, yard trimmings, and food scraps 35 Emissions of carbon dioxide from biofuelbioenergy use by sector and fuel

  19. Estimation of the time scale of last chance alpha emission using an atomic clock''

    SciTech Connect (OSTI)

    Gallamore, L.; Sarantites, D.G.; Charity, R.J.; Nicolis, N.G.; Sobotka, L.G. ); Beene, J.R.; Halbert, M.L.; Varner, R.L. )

    1994-02-01

    The probability of filling a [ital K]-vacancy, created on the incoming part of the collision, before [alpha]-particle emission is used to time the decay of Yb compound nuclei. These nuclei were produced in the fusion reaction 250 MeV [sup 60]Ni+[sup 100]Mo. In general the nuclear decays are too fast to be timed by this clock, however, [alpha]-particle emitting compound nucleus states have lifetimes sufficiently long for this technique to work when both the [alpha]-particle has low energy and the compound nucleus spin is large. This supports the existence of last, or near last, chance [alpha]-particle emission in the deexcitation of high spin compound nuclei.

  20. Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model

    SciTech Connect (OSTI)

    Greenblatt, Jeffery B.

    2013-10-10

    , targets were less well-defined, but while all three scenarios were able to make significant reductions in ROG, NOx and PM2.5 both statewide and in the two regional air basins, they may nonetheless fall short of what will be required by future federal standards. Specifically, in Scenario 1, regional NOx emissions are approximately three times the estimated targets for both 2023 and 2032, and in Scenarios 2 and 3, NOx emissions are approximately twice the estimated targets. Further work is required in this area, including detailed regional air quality modeling, in order to determine likely pathways for attaining these stringent targets.

  1. Reactivity-controlled compression ignition drive cycle emissions and fuel economy estimations using vehicle system simulations

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

    Curran, Scott J.; Gao, Zhiming; Wagner, Robert M.

    2014-12-22

    In-cylinder blending of gasoline and diesel to achieve reactivity-controlled compression ignition has been shown to reduce NOX and soot emissions while maintaining or improving brake thermal efficiency as compared with conventional diesel combustion. The reactivity-controlled compression ignition concept has an advantage over many advanced combustion strategies in that the fuel reactivity can be tailored to the engine speed and load, allowing stable low-temperature combustion to be extended over more of the light-duty drive cycle load range. In this paper, a multi-mode reactivity-controlled compression ignition strategy is employed where the engine switches from reactivity-controlled compression ignition to conventional diesel combustion whenmore » speed and load demand are outside of the experimentally determined reactivity-controlled compression ignition range. The potential for reactivity-controlled compression ignition to reduce drive cycle fuel economy and emissions is not clearly understood and is explored here by simulating the fuel economy and emissions for a multi-mode reactivity-controlled compression ignition–enabled vehicle operating over a variety of US drive cycles using experimental engine maps for multi-mode reactivity-controlled compression ignition, conventional diesel combustion, and a 2009 port-fuel injected gasoline engine. Drive cycle simulations are completed assuming a conventional mid-size passenger vehicle with an automatic transmission. Multi-mode reactivity-controlled compression ignition fuel economy simulation results are compared with the same vehicle powered by a representative 2009 port-fuel injected gasoline engine over multiple drive cycles. Finally, engine-out drive cycle emissions are compared with conventional diesel combustion, and observations regarding relative gasoline and diesel tank sizes needed for the various drive cycles are also summarized.« less

  2. Reactivity-controlled compression ignition drive cycle emissions and fuel economy estimations using vehicle system simulations

    SciTech Connect (OSTI)

    Curran, Scott J.; Gao, Zhiming; Wagner, Robert M.

    2014-12-22

    In-cylinder blending of gasoline and diesel to achieve reactivity-controlled compression ignition has been shown to reduce NOX and soot emissions while maintaining or improving brake thermal efficiency as compared with conventional diesel combustion. The reactivity-controlled compression ignition concept has an advantage over many advanced combustion strategies in that the fuel reactivity can be tailored to the engine speed and load, allowing stable low-temperature combustion to be extended over more of the light-duty drive cycle load range. In this paper, a multi-mode reactivity-controlled compression ignition strategy is employed where the engine switches from reactivity-controlled compression ignition to conventional diesel combustion when speed and load demand are outside of the experimentally determined reactivity-controlled compression ignition range. The potential for reactivity-controlled compression ignition to reduce drive cycle fuel economy and emissions is not clearly understood and is explored here by simulating the fuel economy and emissions for a multi-mode reactivity-controlled compression ignition–enabled vehicle operating over a variety of US drive cycles using experimental engine maps for multi-mode reactivity-controlled compression ignition, conventional diesel combustion, and a 2009 port-fuel injected gasoline engine. Drive cycle simulations are completed assuming a conventional mid-size passenger vehicle with an automatic transmission. Multi-mode reactivity-controlled compression ignition fuel economy simulation results are compared with the same vehicle powered by a representative 2009 port-fuel injected gasoline engine over multiple drive cycles. Finally, engine-out drive cycle emissions are compared with conventional diesel combustion, and observations regarding relative gasoline and diesel tank sizes needed for the various drive cycles are also summarized.

  3. 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.

  4. EIA - Emissions of Greenhouse Gases in the United States 2009

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

    ‹ Environment Emissions of Greenhouse Gases in the U. S. Release Date: March 31, 2011 | Next Release Date: Report Discontinued | Report Number: DOE/EIA-0573(2009) This report-the eighteenth annual report-presents the U.S. Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. Download the GHG Report Introduction For this report, activity data on coal and natural gas consumption and electricity sales and losses

  5. EIA - Emissions of Greenhouse Gases in the United States 2009

    Gasoline and Diesel Fuel Update (EIA)

    ‹ Environment Emissions of Greenhouse Gases in the U. S. Release Date: March 31, 2011 | Next Release Date: Report Discontinued | Report Number: DOE/EIA-0573(2009) This report-the eighteenth annual report-presents the U.S. Energy Information Administration's latest estimates of emissions for carbon dioxide, methane, nitrous oxide, and other greenhouse gases. Download the GHG Report Introduction For this report, activity data on coal and natural gas consumption and electricity sales and losses

  6. Optimize carbon dioxide sequestration, enhance oil recovery

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

    Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate the potential of storing carbon dioxide in depleted oil fields while simultaneously maximizing oil production. January 8, 2014 Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery. Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery.

  7. Optimize carbon dioxide sequestration, enhance oil recovery

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

    Optimize carbon dioxide sequestration, enhance oil recovery Optimize carbon dioxide sequestration, enhance oil recovery The simulation provides an important approach to estimate the potential of storing carbon dioxide in depleted oil fields while simultaneously maximizing oil production. January 8, 2014 Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery. Schematic of a water-alternating-with-gas flood for CO2 sequestration and enhanced oil recovery.

  8. 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.

  9. The California Climate Action Registry: Development of methodologies for calculating greenhouse gas emissions from electricity generation

    SciTech Connect (OSTI)

    Price, Lynn; Marnay, Chris; Sathaye, Jayant; Muritshaw, Scott; Fisher, Diane; Phadke, Amol; Franco, Guido

    2002-08-01

    The California Climate Action Registry, which will begin operation in Fall 2002, is a voluntary registry for California businesses and organizations to record annual greenhouse gas emissions. Reporting of emissions in the Registry by a participant involves documentation of both ''direct'' emissions from sources that are under the entity's control and ''indirect'' emissions controlled by others. Electricity generated by an off-site power source is considered to be an indirect emission and must be included in the entity's report. Published electricity emissions factors for the State of California vary considerably due to differences in whether utility-owned out-of-state generation, non-utility generation, and electricity imports from other states are included. This paper describes the development of three methods for estimating electricity emissions factors for calculating the combined net carbon dioxide emissions from all generating facilities that provide electricity to Californians. We find that use of a statewide average electricity emissions factor could drastically under- or over-estimate an entity's emissions due to the differences in generating resources among the utility service areas and seasonal variations. In addition, differentiating between marginal and average emissions is essential to accurately estimate the carbon dioxide savings from reducing electricity use. Results of this work will be taken into consideration by the Registry when finalizing its guidance for use of electricity emissions factors in calculating an entity's greenhouse gas emissions.

  10. Determination of landfill gas composition and pollutant emission rates at fresh kills landfill. Volume 2. Appendices to project report. Final report

    SciTech Connect (OSTI)

    1995-12-07

    Air emissions of landfill gas pollutants at Fresh Kills Landfill, located in Staten Island, NY, were estimated based on three weeks of sampling of flow, concentration, and flux at passive vents, gas extraction wells, gas collection plant headers, and the landfill surface conducted by Radian Corporation in 1995. Emission rates were estimated for 202 pollutants, including hydrogen sulfide, mercury vapor, speciated volatile organic compounds, methane, and carbon dioxide. Results indicate that large amounts of mercury enter the methane, and carbon dioxide. Results indicate that large amounts of mercury enter the methane recovery plant. Emission factors based on the results are presented.

  11. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1000 Megawatts (MW) of New Wind Power in Maine

    SciTech Connect (OSTI)

    2008-10-01

    Analysis of the expected impacts of 1000 MW of wind power in Maine, including economic benefits, CO2 emissions reductions, and water conservation.

  12. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1000 Megawatts (MW) of New Wind Power in Arizona

    SciTech Connect (OSTI)

    2008-10-01

    Analysis of the expected impacts of 1000 MW of wind power in Arizona, including economic benefits, CO2 emissions reductions, and water conservation.

  13. Cost-effectiveness of controlling emissions for various alternative-fuel vehicle types, with vehicle and fuel price subsidies estimated on the basis of monetary values of emission reductions

    SciTech Connect (OSTI)

    Wang, M.Q.

    1993-12-31

    Emission-control cost-effectiveness is estimated for ten alternative-fuel vehicle (AFV) types (i.e., vehicles fueled with reformulated gasoline, M85 flexible-fuel vehicles [FFVs], M100 FFVs, dedicated M85 vehicles, dedicated M100 vehicles, E85 FFVS, dual-fuel liquefied petroleum gas vehicles, dual-fuel compressed natural gas vehicles [CNGVs], dedicated CNGVs, and electric vehicles [EVs]). Given the assumptions made, CNGVs are found to be most cost-effective in controlling emissions and E85 FFVs to be least cost-effective, with the other vehicle types falling between these two. AFV cost-effectiveness is further calculated for various cases representing changes in costs of vehicles and fuels, AFV emission reductions, and baseline gasoline vehicle emissions, among other factors. Changes in these parameters can change cost-effectiveness dramatically. However, the rank of the ten AFV types according to their cost-effectiveness remains essentially unchanged. Based on assumed dollars-per-ton emission values and estimated AFV emission reductions, the per-vehicle monetary value of emission reductions is calculated for each AFV type. Calculated emission reduction values ranged from as little as $500 to as much as $40,000 per vehicle, depending on AFV type, dollar-per-ton emission values, and baseline gasoline vehicle emissions. Among the ten vehicle types, vehicles fueled with reformulated gasoline have the lowest per-vehicle value, while EVs have the highest per-vehicle value, reflecting the magnitude of emission reductions by these vehicle types. To translate the calculated per-vehicle emission reduction values to individual AFV users, AFV fuel or vehicle price subsidies are designed to be equal to AFV emission reduction values. The subsidies designed in this way are substantial. In fact, providing the subsidies to AFVs would change most AFV types from net cost increases to net cost decreases, relative to conventional gasoline vehicles.

  14. Development of methodologies for calculating greenhouse gas emissions from electricity generation for the California climate action registry

    SciTech Connect (OSTI)

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

    2002-04-01

    The California Climate Action Registry, which will begin operation in Fall 2002, is a voluntary registry for California businesses and organizations to record annual greenhouse gas emissions. Reporting of emissions in the Registry by a participant involves documentation of both ''direct'' emissions from sources that are under the entity's control and ''indirect'' emissions controlled by others. Electricity generated by an off-site power source is considered to be an indirect emission and must be included in the entity's report. Published electricity emissions factors for the State of California vary considerably due to differences in whether utility-owned out-of-state generation, non-utility generation, and electricity imports from other states are included. This paper describes the development of three methods for estimating electricity emissions factors for calculating the combined net carbon dioxide emissions from all generating facilities that provide electricity to Californians. We fi nd that use of a statewide average electricity emissions factor could drastically under- or over-estimate an entity's emissions due to the differences in generating resources among the utility service areas and seasonal variations. In addition, differentiating between marginal and average emissions is essential to accurately estimate the carbon dioxide savings from reducing electricity use. Results of this work will be taken into consideration by the Registry when finalizing its guidance for use of electricity emissions factors in calculating an entity's greenhouse gas emissions.

  15. Emissions of greenhouse gases in the United States 1996

    SciTech Connect (OSTI)

    1997-10-01

    The Energy Information Administration (EIA) is required by the Energy Policy Act of 1992 to prepare a report on aggregate US national emissions of greenhouse gases for the period 1987--1990, with annual updates thereafter. This report is the fifth annual update, covering national emissions over the period 1989--1995, with preliminary estimates of emissions for 1996. The estimates contained in this report have been revised from those in last year`s report. Emissions estimates for carbon dioxide are reported in metric tons of carbon; estimates for other gases are reported in metric tons of gas. Chapter 1 of this report briefly recapitulates some background information about global climate change and the greenhouse effect and discusses important recent developments in global climate change activities. Chapter 2 through 6 cover emissions of carbon dioxide, methane, nitrous oxide, halocarbons, and criteria pollutants, respectively. Chapter 7 describes potential sequestration and emissions of greenhouse gases as a result of land use changes. Five appendixes are included with this report. 216 refs., 11 figs., 38 tabs.

  16. Mitigating greenhouse gas emissions: Voluntary reporting

    SciTech Connect (OSTI)

    1997-10-01

    The Voluntary Reporting Program, developed pursuant to Section 1605(b) of the Energy Policy Act of 1992, permits corporations, government agencies, households, and voluntary organizations to report on their emissions of greenhouse gases, and on actions taken that have reduced or avoided emissions or sequestered carbon, to the Energy Information Administration (EIA). This, the second annual report of the Voluntary Reporting Program, describes information provided by the participating organizations on their aggregate emissions and emissions reductions, as well as their emissions reduction or avoidance projects, through 1995. This information has been compiled into a database that includes reports from 142 organizations and descriptions of 967 projects that either reduced greenhouse gas emissions or sequestered carbon. Fifty-one reporters also provided estimates of emissions, and emissions reductions achieved, for their entire organizations. The projects described actions taken to reduce emissions of carbon dioxide from energy production and use; to reduce methane and nitrous oxide emissions from energy use, waste management, and agricultural processes; to reduce emissions of halocarbons, such as CFCs and their replacements; and to increase carbon sequestration.

  17. Carbon dioxide and climate

    SciTech Connect (OSTI)

    Not Available

    1990-10-01

    Scientific and public interest in greenhouse gases, climate warming, and global change virtually exploded in 1988. The Department's focused research on atmospheric CO{sub 2} contributed sound and timely scientific information to the many questions produced by the groundswell of interest and concern. Research projects summarized in this document provided the data base that made timely responses possible, and the contributions from participating scientists are genuinely appreciated. In the past year, the core CO{sub 2} research has continued to improve the scientific knowledge needed to project future atmospheric CO{sub 2} concentrations, to estimate climate sensitivity, and to assess the responses of vegetation to rising concentrations of CO{sub 2} and to climate change. The Carbon Dioxide Research Program's goal is to develop sound scientific information for policy formulation and governmental action in response to changes of atmospheric CO{sub 2}. The Program Summary describes projects funded by the Carbon Dioxide Research Program during FY 1990 and gives a brief overview of objectives, organization, and accomplishments.

  18. CAN DUST EMISSION BE USED TO ESTIMATE THE MASS OF THE INTERSTELLAR MEDIUM IN GALAXIES-A PILOT PROJECT WITH THE HERSCHEL REFERENCE SURVEY

    SciTech Connect (OSTI)

    Eales, Stephen; Smith, Matthew W. L.; Auld, Robbie; Davies, Jon; Gear, Walter; Gomez, Haley; Baes, Maarten; De Looze, Ilse; Gentile, Gianfranco; Fritz, Jacopo; Bendo, George J.; Bianchi, Simone; Boselli, Alessandro; Ciesla, Laure; Clements, David; Cooray, Asantha; Cortese, Luca; Galametz, Maud; Hughes, Tom; Madden, Suzanne [Laboratoire AIM, CEA and others

    2012-12-20

    The standard method for estimating the mass of the interstellar medium (ISM) in a galaxy is to use the 21 cm line to trace the atomic gas and the CO 1-0 line to trace the molecular gas. In this paper, we investigate the alternative technique of using the continuum dust emission to estimate the mass of gas in all phases of the ISM. Using Herschel observations of 10 galaxies from the Herschel Reference Survey and the Herschel Virgo Cluster Survey, we show that the emission detected by Herschel is mostly from dust that has a temperature and emissivity index similar to that of dust in the local ISM in our galaxy, with the temperature generally increasing toward the center of each galaxy. We calibrate the dust method using the CO and 21 cm observations to provide an independent estimate of the mass of hydrogen in each galaxy, solving the problem of the uncertain ''X-factor'' for the CO observations by minimizing the dispersion in the ratio of the masses estimated using the two methods. With the calibration for the dust method and the estimate of the X-factor produced in this way, the dispersion in the ratio of the two gas masses is 25%. The calibration we obtain for the dust method is similar to those obtained from Herschel observations of M31 and from Planck observations of the Milky Way. We discuss the practical problems in using this method.

  19. Nitrogen dioxide detection

    DOE Patents [OSTI]

    Sinha, Dipen N.; Agnew, Stephen F.; Christensen, William H.

    1993-01-01

    Method and apparatus for detecting the presence of gaseous nitrogen dioxide and determining the amount of gas which is present. Though polystyrene is normally an insulator, it becomes electrically conductive in the presence of nitrogen dioxide. Conductance or resistance of a polystyrene sensing element is related to the concentration of nitrogen dioxide at the sensing element.

  20. DRIVE CYCLE EFFICIENCY AND EMISSIONS ESTIMATES FOR REACTIVITY CONTROLLED COMPRESSION IGNITION IN A MULTI-CYLINDER LIGHT-DUTY DIESEL ENGINE

    SciTech Connect (OSTI)

    Curran, Scott; Briggs, Thomas E; Cho, Kukwon; Wagner, Robert M

    2011-01-01

    In-cylinder blending of gasoline and diesel to achieve Reactivity Controlled Compression Ignition (RCCI) has been shown to reduce NOx and PM emissions while maintaining or improving brake thermal efficiency as compared to conventional diesel combustion (CDC). The RCCI concept has an advantage over many advanced combustion strategies in that by varying both the percent of premixed gasoline and EGR rate, stable combustion can be extended over more of the light-duty drive cycle load range. Changing the percent premixed gasoline changes the fuel reactivity stratification in the cylinder providing further control of combustion phasing and pressure rise rate than the use of EGR alone. This paper examines the combustion and emissions performance of light-duty diesel engine using direct injected diesel fuel and port injected gasoline to carry out RCCI for steady-state engine conditions which are consistent with a light-duty drive cycle. A GM 1.9L four-cylinder engine with the stock compression ratio of 17.5:1, common rail diesel injection system, high-pressure EGR system and variable geometry turbocharger was modified to allow for port fuel injection with gasoline. Engine-out emissions, engine performance and combustion behavior for RCCI operation is compared against both CDC and a premixed charge compression ignition (PCCI) strategy which relies on high levels of EGR dilution. The effect of percent of premixed gasoline, EGR rate, boost level, intake mixture temperature, combustion phasing and pressure rise rate is investigated for RCCI combustion for the light-duty modal points. Engine-out emissions of NOx and PM were found to be considerably lower for RCCI operation as compared to CDC and PCCI, while HC and CO emissions were higher. Brake thermal efficiency was similar or higher for many of the modal conditions for RCCI operation. The emissions results are used to estimate hot-start FTP-75 emissions levels with RCCI and are compared against CDC and PCCI modes.

  1. Investigation of the carbon dioxide sorption capacity and structural deformation of coal

    SciTech Connect (OSTI)

    Hur, Tae-Bong; Fazio, James; Romanov, Vyacheslav; Harbert, William

    2010-01-01

    Due to increasing atmospheric CO2 concentrations causing the global energy and environmental crises, geological sequestration of carbon dioxide is now being actively considered as an attractive option to mitigate greenhouse gas emissions. One of the important strategies is to use deep unminable coal seams, for those generally contain significant quantities of coal bed methane that can be recovered by CO2 injection through enhanced coal bed natural gas production, as a method to safely store CO2. It has been well known that the adsorbing CO2 molecules introduce structural deformation, such as distortion, shrinkage, or swelling, of the adsorbent of coal organic matrix. The accurate investigations of CO2 sorption capacity as well as of adsorption behavior need to be performed under the conditions that coals deform. The U.S. Department of Energy-National Energy Technology Laboratory and Regional University Alliance are conducting carbon dioxide sorption isotherm experiments by using manometric analysis method for estimation of CO2 sorption capacity of various coal samples and are constructing a gravimetric apparatus which has a visual window cell. The gravimetric apparatus improves the accuracy of carbon dioxide sorption capacity and provides feasibility for the observation of structural deformation of coal sample while carbon dioxide molecules interact with coal organic matrix. The CO2 sorption isotherm measurements have been conducted for moist and dried samples of the Central Appalachian Basin (Russell County, VA) coal seam, received from the SECARB partnership, at the temperature of 55 C.

  2. Carbon Dioxide Utilization Summit

    Broader source: Energy.gov [DOE]

    The 6th Carbon Dioxide Utilization Summit will be held in Newark, New Jersey, from Feb. 24–26, 2016. The conference will look at the benefits and challenges of carbon dioxide utilization. Advanced Algal Systems Program Manager Alison Goss Eng and Technology Manager Devinn Lambert will be in attendance. Dr. Goss Eng will be chairing a round table on Fuels and Chemicals during the Carbon Dioxide Utilization: From R&D to Commercialization discussion session.

  3. Emissions of greenhouse gases in the United States 1997

    SciTech Connect (OSTI)

    1998-10-01

    This is the sixth annual report on aggregate US national emissions of greenhouse gases. It covers emissions over the period 1990--1996, with preliminary estimates of emissions for 1997. Chapter one summarizes some background information about global climate change and the greenhouse effect. Important recent developments in global climate change activities are discussed, especially the third Conference of the Parties to the Framework Convention on Climate Change, which was held in December of 1997 in Kyoto, Japan. Chapters two through five cover emissions of carbon dioxide, methane, nitrous oxide, halocarbons and related gases, respectively. Chapter six describes potential sequestration and emissions of greenhouse gases as a result of land use changes. Six appendices are included in the report. 96 refs., 38 tabs.

  4. H. R. 4177: A Bill to amend the Internal Revenue Code of 1986 to impose an excise tax on sulfur dioxide and nitrogen oxide emissions from utility plants. Introduced in the House of Representatives, One Hundredth First Congress, Second Session, March 5, 1990

    SciTech Connect (OSTI)

    Not Available

    1990-01-01

    The tax imposed would begin in 1991 in the amount of 15 cents per pound of sulfur dioxide released and 10 cents per pound nitrogen oxide, and would increase so that the tax in 1997 and thereafter would be 45 cents per pound of sulfur dioxide and 30 cents per pound of nitrogen oxide released. An inflation adjustment is provided for years after 1997. The tax is imposed on emissions which exceed the exemption level for each pollutant, and these levels are specified herein as pounds exempted per million Btu's of fuel burned. No tax is imposed on units less than 75 megawatts, or units providing less than one-third of the electricity produced to a utility power distribution system for sale.

  5. Carbon Cycle Data from the Carbon Dioxide Information Analysis Center (CDIAC)

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

    CDIAC products are indexed and searchable through a customized interface powered by ORNL's Mercury search engine. Products include numeric data packages, publications, trend data, atlases, models, etc. and can be searched for by subject area, keywords, authors, product numbers, time periods, collection sites, spatial references, etc. Some of the collections may also be included in the CDIAC publication Trends Online: A Compendium of Global Change Data. Most data sets, many with numerous data files, are free to download from CDIAC's ftp area. Information related to carbon cycle includes: • Terrestrial Carbon Sequestration Data Sets • Area and Carbon Content of Sphagnum Since Last Glacial Maximum (2002) (Trends Online) • Carbon Dioxide Emissions from Fossil-Fuel Consumption and Cement Manufacture, (2002) (Trends Online) • Estimates of Monthly CO2 Emissions and Associated 13C/12C Values from Fossil-Fuel Consumption in the U.S.A., (2004) (Trends Online) • Estimates of Annual Fossil-Fuel CO2 Emitted for Each State in the U.S.A. and the District of Columbia for Each Year from 1960 through 2001 (Trends Online) • Global, Regional, and National Annual CO2 Emissions from Fossil-Fuel Burning, Cement Production, and Gas Flaring: 1751-1999 (updated 2002) • Geographic Patterns of Carbon Dioxide Emissions from Fossil-Fuel Burning, Hydraulic Cement Production, and Gas Flaring on a One Degree by One Degree Grid Cell Basis: 1950 to 1990 (1997) • Carbon Dioxide Emission Estimates from Fossil-Fuel Burning, Hydraulic Cement Production, and Gas Flaring for 1995 on a One Degree Grid Cell Basis (1998) • AmeriFlux - Terrestrial Carbon Dioxide, Water Vapor, and Energy Balance Measurements Intergovernmental Panel on Climate Change (IPCC), Working Group 1, 1994: Modelling Results Relating Future Atmospheric CO2 Concentrations to Industrial Emissions (1995) • Interannual Variability in Global Soil Respiration on a 0.5 Degree Grid Cell Basis (1980-1994) (2003) • Global

  6. Method for dissolving plutonium dioxide

    DOE Patents [OSTI]

    Tallent, Othar K.

    1976-01-01

    A method for dissolving plutonium dioxide comprises adding silver ions to a nitric acid-hydrofluoric acid solution to significantly speed up dissolution of difficultly soluble plutonium dioxide.

  7. CARBON DIOXIDE AS A FEEDSTOCK.

    SciTech Connect (OSTI)

    CREUTZ,C.; FUJITA,E.

    2000-12-09

    This report is an overview on the subject of carbon dioxide as a starting material for organic syntheses of potential commercial interest and the utilization of carbon dioxide as a substrate for fuel production. It draws extensively on literature sources, particularly on the report of a 1999 Workshop on the subject of catalysis in carbon dioxide utilization, but with emphasis on systems of most interest to us. Atmospheric carbon dioxide is an abundant (750 billion tons in atmosphere), but dilute source of carbon (only 0.036 % by volume), so technologies for utilization at the production source are crucial for both sequestration and utilization. Sequestration--such as pumping CO{sub 2} into sea or the earth--is beyond the scope of this report, except where it overlaps utilization, for example in converting CO{sub 2} to polymers. But sequestration dominates current thinking on short term solutions to global warming, as should be clear from reports from this and other workshops. The 3500 million tons estimated to be added to the atmosphere annually at present can be compared to the 110 million tons used to produce chemicals, chiefly urea (75 million tons), salicylic acid, cyclic carbonates and polycarbonates. Increased utilization of CO{sub 2} as a starting material is, however, highly desirable, because it is an inexpensive, non-toxic starting material. There are ongoing efforts to replace phosgene as a starting material. Creation of new materials and markets for them will increase this utilization, producing an increasingly positive, albeit small impact on global CO{sub 2} levels. The other uses of interest are utilization as a solvent and for fuel production and these will be discussed in turn.

  8. Adjusted Estimates of Texas Natural Gas Production

    Reports and Publications (EIA)

    2005-01-01

    The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO2) production.

  9. Emissions of greenhouse gases in the United States, 1987--1994

    SciTech Connect (OSTI)

    1995-09-25

    The Energy Information Administration (EIA) is required by the Energy Policy Act of 1992 to prepare a report on aggregate US national emissions of greenhouse gases for the period 1987--1992, with annual updates thereafter. This is the third annual update report,covering national emissions over the period 1987--1993, with preliminary estimates of US carbon dioxide and halocarbon emissions for 1994. Calculating national aggregate emissions(or ``national inventories``) of greenhouse gases is a recently developed form of intellectual endeavor. Greenhouse gas emissions are rarely measured directly or reported to statistical agencies. Thus, to prepare emissions inventories usually requires inferring emissions indirectly from information collected for other purposes. Both the available information and the inferences drawn may be of varying reliability. Chapter 1 of this report briefly recapitulates some background information about global climate change and the greenhouse effect and discusses important recent developments in global climate change activities. Chapters 2 through 6 cover emissions of carbon dioxide, methane, nitrous oxide, halocarbons, and criteria pollutants, respectively. Chapter 7 describes potential sequestration and emissions of greenhouse gases as a result of land use changes.

  10. Influence of Shrinkage and Swelling Properties of Coal on Geologic Sequestration of Carbon Dioxide

    SciTech Connect (OSTI)

    Siriwardane, H.J.; Gondle, R.; Smith, D.H.

    2007-05-01

    The potential for enhanced methane production and geologic sequestration of carbon dioxide in coalbeds needs to be evaluated before large-scale sequestration projects are undertaken. Geologic sequestration of carbon dioxide in deep unmineable coal seams with the potential for enhanced coalbed methane production has become a viable option to reduce greenhouse gas emissions. The coal matrix is believed to shrink during methane production and swell during the injection of carbon dioxide, causing changes in tlie cleat porosity and permeability of the coal seam. However, the influence of swelling and shrinkage, and the geomechanical response during the process of carbon dioxide injection and methane recovery, are not well understood. A three-dimensional swelling and shrinkage model based on constitutive equations that account for the coupled fluid pressure-deformation behavior of a porous medium was developed and implemented in an existing reservoir model. Several reservoir simulations were performed at a field site located in the San Juan basin to investigate the influence of swelling and shrinkage, as well as other geomechanical parameters, using a modified compositional coalbed methane reservoir simulator (modified PSU-COALCOMP). The paper presents numerical results for interpretation of reservoir performance during injection of carbon dioxide at this site. Available measured data at the field site were compared with computed values. Results show that coal swelling and shrinkage during the process of enhanced coalbed methane recovery can have a significant influence on the reservoir performance. Results also show an increase in the gas production rate with an increase in the elastic modulus of the reservoir material and increase in cleat porosity. Further laboratory and field tests of the model are needed to furnish better estimates of petrophysical parameters, test the applicability of thee model, and determine the need for further refinements to the mathematical