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Sample records for generating capacity electricity

  1. EIA - Electricity Generating Capacity

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

    Electricity Generating Capacity Release Date: January 3, 2013 | Next Release: August 2013 Year Existing Units by Energy Source Unit Additions Unit Retirements 2011 XLS XLS XLS 2010 XLS XLS XLS 2009 XLS XLS XLS 2008 XLS XLS XLS 2007 XLS XLS XLS 2006 XLS XLS XLS 2005 XLS XLS XLS 2004 XLS XLS XLS 2003 XLS XLS XLS Source: Form EIA-860, "Annual Electric Generator Report." Related links Electric Power Monthly Electric Power Annual Form EIA-860 Source Data

  2. Economic Dispatch of Electric Generation Capacity | Department...

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

    Economic Dispatch of Electric Generation Capacity A report to congress and the states pursuant to sections 1234 and 1832 of the Energy Polict Act of 2005. PDF icon Economic ...

  3. How and why Tampa Electric Company selected IGCC for its next generating capacity addition

    SciTech Connect (OSTI)

    Pless, D.E. )

    1992-01-01

    As the title indicates, the purpose of this paper is to relate how and why Tampa Electric Company decided to select the Integrated Gasification Combined Cycle (IGCC) for their next capacity addition at Polk Power Station, Polk Unit No. 1. For a complete understanding of this process, it is necessary to review the history related to the initial formulation of the IGCC concept as it was proposed to the Department of Energy (DOE) Clean Coal Initiative Round Three. Further, it is important to understand the relationship between Tampa Electric Company and TECO Pay Services Corporation (TPS). TECO Energy, Inc. is an energy related holding company with headquarters in Tampa, Florida. Tampa Electric Company is the principal, wholly-owned subsidiary of TECO Energy, Inc. Tampa Electric Company is an investor-owned electric utility with about 3200 MW of generation capacity of which 97% is coal fired. Tampa Electric Company serves about 2,000 square miles and approximately 470,000 customers, in west central Florida, primarily in and around Hillsborough County and Tampa, Florida. Tampa Electric Company generating units consist of coal fired units ranging in size from a 110 MW coal fired cyclone unit installed in 1957 to a 450 MW pulverized coal unit with wet limestone flue gas desulfurization installed in 1985. In addition, Tampa Electric Company has six (6) No. 6 oil fired steam units totaling approximately 220 MW. Five (5) of these units, located at the Hookers Point Station, were installed in the late 1940's and early 1950's. Tampa Electric also has about 150 MW of No. 2 oil fired start-up and peaking combustion turbines. The company also owns a 1966 vintage 12 MW natural gas fired steam plant (Dinner Lake) and two nO. 6 oil fired diesel units with heat recovery equipment built in 1983 (Phillips Plant).

  4. Electric generator

    DOE Patents [OSTI]

    Foster, Jr., John S.; Wilson, James R.; McDonald, Jr., Charles A.

    1983-01-01

    1. In an electrical energy generator, the combination comprising a first elongated annular electrical current conductor having at least one bare surface extending longitudinally and facing radially inwards therein, a second elongated annular electrical current conductor disposed coaxially within said first conductor and having an outer bare surface area extending longitudinally and facing said bare surface of said first conductor, the contiguous coaxial areas of said first and second conductors defining an inductive element, means for applying an electrical current to at least one of said conductors for generating a magnetic field encompassing said inductive element, and explosive charge means disposed concentrically with respect to said conductors including at least the area of said inductive element, said explosive charge means including means disposed to initiate an explosive wave front in said explosive advancing longitudinally along said inductive element, said wave front being effective to progressively deform at least one of said conductors to bring said bare surfaces thereof into electrically conductive contact to progressively reduce the inductance of the inductive element defined by said conductors and transferring explosive energy to said magnetic field effective to generate an electrical potential between undeformed portions of said conductors ahead of said explosive wave front.

  5. Utilizing Electric Vehicles to Assist Integration of Large Penetrations of Distributed Photovoltaic Generation Capacity

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Chassin, Forrest S.; Kintner-Meyer, Michael CW; Gowri, Krishnan

    2012-11-30

    Executive Summary Introduction and Motivation This analysis provides the first insights into the leveraging potential of distributed photovoltaic (PV) technologies on rooftop and electric vehicle (EV) charging. Either of the two technologies by themselves - at some high penetrations may cause some voltage control challenges or overloading problems, respectively. But when combined, there at least intuitively could be synergistic effects, whereby one technology mitigates the negative impacts of the other. High penetration of EV charging may overload existing distribution system components, most prominently the secondary transformer. If PV technology is installed at residential premises or anywhere downstream of the secondary transformer, it will provide another electricity source thus, relieving the loading on the transformers. Another synergetic or mitigating effect could be envisioned when high PV penetration reverts the power flow upward in the distribution system (from the homes upstream into the distribution system). Protection schemes may then no longer work and voltage violation (exceeding the voltage upper limited of the ANSI voltage range) may occur. In this particular situation, EV charging could absorb the electricity from the PV, such that the reversal of power flow can be reduced or alleviated. Given these potential mutual synergistic behaviors of PV and EV technologies, this project attempted to quantify the benefits of combining the two technologies. Furthermore, of interest was how advanced EV control strategies may influence the outcome of the synergy between EV charging and distributed PV installations. Particularly, Californian utility companies with high penetration of the distributed PV technology, who have experienced voltage control problems, are interested how intelligent EV charging could support or affect the voltage control

  6. High current capacity electrical connector

    DOE Patents [OSTI]

    Bettis, Edward S.; Watts, Harry L.

    1976-01-13

    An electrical connector is provided for coupling high current capacity electrical conductors such as copper busses or the like. The connector is arranged in a "sandwiched" configuration in which a conductor plate contacts the busses along major surfaces thereof clamped between two stainless steel backing plates. The conductor plate is provided with a plurality of contact buttons affixed therein in a spaced array such that the caps of the buttons extend above the conductor plate surface to contact the busses. When clamping bolts provided through openings in the sandwiched arrangement are tightened, Belleville springs provided under the rim of each button cap are compressed and resiliently force the caps into contact with the busses' contacting surfaces to maintain a predetermined electrical contact area provided by the button cap tops. The contact area does not change with changing thermal or mechanical stresses applied to the coupled conductors.

  7. Renewable Electricity Generation

    SciTech Connect (OSTI)

    2012-09-01

    This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in renewable electricity generation technologies including solar, water, wind, and geothermal.

  8. Thermoacoustic magnetohydrodynamic electrical generator

    DOE Patents [OSTI]

    Wheatley, J.C.; Swift, G.W.; Migliori, A.

    1984-11-16

    A thermoacoustic magnetohydrodynamic electrical generator includes an intrinsically irreversible thermoacoustic heat engine coupled to a magnetohydrodynamic electrical generator. The heat engine includes an electrically conductive liquid metal as the working fluid and includes two heat exchange and thermoacoustic structure assemblies which drive the liquid in a push-pull arrangement to cause the liquid metal to oscillate at a resonant acoustic frequency on the order of 1000 Hz. The engine is positioned in the field of a magnet and is oriented such that the liquid metal oscillates in a direction orthogonal to the field of the magnet, whereby an alternating electrical potential is generated in the liquid metal. Low-loss, low-inductance electrical conductors electrically connected to opposite sides of the liquid metal conduct an output signal to a transformer adapted to convert the low-voltage, high-current output signal to a more usable higher voltage, lower current signal.

  9. Thermoacoustic magnetohydrodynamic electrical generator

    DOE Patents [OSTI]

    Wheatley, John C.; Swift, Gregory W.; Migliori, Albert

    1986-01-01

    A thermoacoustic magnetohydrodynamic electrical generator includes an intrinsically irreversible thermoacoustic heat engine coupled to a magnetohydrodynamic electrical generator. The heat engine includes an electrically conductive liquid metal as the working fluid and includes two heat exchange and thermoacoustic structure assemblies which drive the liquid in a push-pull arrangement to cause the liquid metal to oscillate at a resonant acoustic frequency on the order of 1,000 Hz. The engine is positioned in the field of a magnet and is oriented such that the liquid metal oscillates in a direction orthogonal to the field of the magnet, whereby an alternating electrical potential is generated in the liquid metal. Low-loss, low-inductance electrical conductors electrically connected to opposite sides of the liquid metal conduct an output signal to a transformer adapted to convert the low-voltage, high-current output signal to a more usable higher voltage, lower current signal.

  10. Table 2. Ten largest plants by generation capacity, 2014

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

    Alaska" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Beluga","Natural gas","Chugach Electric Assn Inc",344.4 2,"George M Sullivan Generation ...

  11. Generating electricity from viruses

    SciTech Connect (OSTI)

    Lee, Seung-Wuk

    2013-10-31

    Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.

  12. Generating electricity from viruses

    ScienceCinema (OSTI)

    Lee, Seung-Wuk

    2014-06-23

    Berkeley Lab's Seung-Wuk Lee discusses "Generating electricity from viruses" in this Oct. 28, 2013 talk, which is part of a Science at the Theater event entitled Eight Big Ideas.

  13. Biomass for Electricity Generation

    Reports and Publications (EIA)

    2002-01-01

    This paper examines issues affecting the uses of biomass for electricity generation. The methodology used in the National Energy Modeling System to account for various types of biomass is discussed, and the underlying assumptions are explained.

  14. Proposed changes to generating capacity 1980-1989 for the contiguous United States: as projected by the Regional Electric Reliability Councils in their April 1, 1980 long-range coordinated planning reports to the Department of Energy

    SciTech Connect (OSTI)

    1980-12-01

    The changes in generating capacity projected for 1980 to 1989 are summarized. Tabulated data provide summaries to the information on projected generating unit construction, retirements, and changes, in several different categories and groupings. The new generating units to be completed by the end of 1989 total 699, representing 259,490 megawatts. This total includes 10 wind power and one fuel cell installations totaling 48.5 MW to be completed by the end of 1989. There are 321 units totaling 13,222 MW to be retired. There are capacity changes due to upratings and deratings. Summary data are presented for: total requirement for electric energy generation for 1985; hydroelectric energy production for 1985; nuclear energy production for 1985; geothermal and other energy production for 1985; approximate non-fossil generation for 1985; range of fossil energy requirements for 1985; actual fossil energy sources 1974 to 1979; estimated range of fossil fuel requirements for 1985; coal capacity available in 1985; and computation of fuel use in 1985. Power plant capacity factors are presented. Extensive data on proposed generating capacity changes by individual units in the 9 Regional Electric Reliability Councils are presented.

  15. Capacity Adequacy and Revenue Sufficiency in Electricity Markets...

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

    Capacity Adequacy and Revenue Sufficiency in Electricity Markets with Wind Power Title Capacity Adequacy and Revenue Sufficiency in Electricity Markets with Wind Power Publication...

  16. Thermoacoustic magnetohydrodynamic electrical generator

    SciTech Connect (OSTI)

    Wheatley, J.C.; Swift, G.W.; Migliori, A.

    1986-07-08

    A thermoacoustic magnetohydrodynamic electrical generator is described comprising a magnet having a magnetic field, an elongate hollow housing containing an electrically conductive liquid and a thermoacoustic structure positioned in the liquid, heat exchange means thermally connected to the thermoacoustic structure for inducing the liquid to oscillate at an acoustic resonant frequency within the housing. The housing is positioned in the magnetic field and oriented such that the direction of the magnetic field and the direction of oscillatory motion of the liquid are substantially orthogonal to one another, first and second electrical conductor means connected to the liquid on opposite sides of the housing along an axis which is substantially orthogonal to both the direction of the magnetic field and the direction of oscillatory motion of the liquid, an alternating current output signal is generated in the conductor means at a frequency corresponding to the frequency of the oscillatory motion of the liquid.

  17. Heat capacity, magnetic susceptibility, and electric resistivity...

    Office of Scientific and Technical Information (OSTI)

    Results of low-temperature heat-capacity measurements (2--20 K) on CePdSn and of magnetic-susceptibility and electrical resistivity measurements (4.2--300 K) on CePdSn, GdPdSn, and ...

  18. Electrical pulse generator

    DOE Patents [OSTI]

    Norris, Neil J.

    1979-01-01

    A technique for generating high-voltage, wide dynamic range, shaped electrical pulses in the nanosecond range. Two transmission lines are coupled together by resistive elements distributed along the length of the lines. The conductance of each coupling resistive element as a function of its position along the line is selected to produce the desired pulse shape in the output line when an easily produced pulse, such as a step function pulse, is applied to the input line.

  19. Hydro-electric generator

    SciTech Connect (OSTI)

    Vauthier, P.

    1980-06-03

    The efficiency of a hydro-electric generator is improved by providing open-ended hollow tubes having influx ends proximate the axis and efflux ends proximate the periphery of a fan-bladed turbine. The jets of water developed by rotation of the fanbladed turbine are directed against turbine vanes at the periphery of the fan blades. The device is particularly suitable for mounting in a water current such as in an ocean current or river.

  20. Electricity Generation Cost Simulation Model

    Energy Science and Technology Software Center (OSTI)

    2003-04-25

    The Electricity Generation Cost Simulation Model (GENSIM) is a user-friendly, high-level dynamic simulation model that calculates electricity production costs for variety of electricity generation technologies, including: pulverized coal, gas combustion turbine, gas combined cycle, nuclear, solar (PV and thermal), and wind. The model allows the user to quickly conduct sensitivity analysis on key variables, including: capital, O&M, and fuel costs; interest rates; construction time; heat rates; and capacity factors. The model also includes consideration ofmore » a wide range of externality costs and pollution control options for carbon dioxide, nitrogen oxides, sulfur dioxide, and mercury. Two different data sets are included in the model; one from the U.S. Department of Energy (DOE) and the other from Platt's Research Group. Likely users of this model include executives and staff in the Congress, the Administration and private industry (power plant builders, industrial electricity users and electric utilities). The model seeks to improve understanding of the economic viability of various generating technologies and their emission trade-offs. The base case results using the DOE data, indicate that in the absence of externality costs, or renewable tax credits, pulverized coal and gas combined cycle plants are the least cost alternatives at 3.7 and 3.5 cents/kwhr, respectively. A complete sensitivity analysis on fuel, capital, and construction time shows that these results coal and gas are much more sensitive to assumption about fuel prices than they are to capital costs or construction times. The results also show that making nuclear competitive with coal or gas requires significant reductions in capital costs, to the $1000/kW level, if no other changes are made. For renewables, the results indicate that wind is now competitive with the nuclear option and is only competitive with coal and gas for grid connected applications if one includes the federal production tax credit of 1.8 cents/kwhr.« less

  1. Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants

    Reports and Publications (EIA)

    2013-01-01

    The current and future projected cost and performance characteristics of new electric generating capacity are a critical input into the development of energy projections and analyses.

  2. Electricity Generation | Department of Energy

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

    Electricity Generation Electricity Generation The United States of America continues to generate the most geothermal electricity in the world: more than 3.5 gigawatts, predominantly from the western United States. That's enough to power about three and half million homes! Pictured above, the Raft River geothermal plant is located in Idaho. Source: Geothermal Resources Council The United States of America continues to generate the most geothermal electricity in the world: more than 3.5 gigawatts,

  3. Electrical utilities model for determining electrical distribution capacity

    SciTech Connect (OSTI)

    Fritz, R. L.

    1997-09-03

    In its simplest form, this model was to obtain meaningful data on the current state of the Site`s electrical transmission and distribution assets, and turn this vast collection of data into useful information. The resulting product is an Electrical Utilities Model for Determining Electrical Distribution Capacity which provides: current state of the electrical transmission and distribution systems; critical Hanford Site needs based on outyear planning documents; decision factor model. This model will enable Electrical Utilities management to improve forecasting requirements for service levels, budget, schedule, scope, and staffing, and recommend the best path forward to satisfy customer demands at the minimum risk and least cost to the government. A dynamic document, the model will be updated annually to reflect changes in Hanford Site activities.

  4. ELECTRIC PULSE GENERATOR

    DOE Patents [OSTI]

    Buntenbach, R.W.

    1959-06-01

    S>An electro-optical apparatus is described which produces electric pulses in programmed sequences at times and durations controlled with great accuracy. An oscilloscope CRT is supplied with signals to produce a luminous spot moving in a circle. An opaque mask with slots of variable width transmits light from the spot to a photoelectric transducer. For shorter pulse decay times a CRT screen which emits UV can be used with a UVtransmitting filter and a UV- sensitive photoelectric cell. Pulses are varied by changing masks or by using masks with variable slots. This device may be used in multiple arrangements to produce other pulse aT rangements, or it can be used to trigger an electronic pulse generator. (T.R.H.)

  5. Generation of electrical power

    DOE Patents [OSTI]

    Hursen, Thomas F.; Kolenik, Steven A.; Purdy, David L.

    1976-01-01

    A heat-to-electricity converter is disclosed which includes a radioactive heat source and a thermoelectric element of relatively short overall length capable of delivering a low voltage of the order of a few tenths of a volt. Such a thermoelectric element operates at a higher efficiency than longer higher-voltage elements; for example, elements producing 6 volts. In the generation of required power, thermoelectric element drives a solid-state converter which is controlled by input current rather than input voltage and operates efficiently for a high signal-plus-noise to signal ratio of current. The solid-state converter has the voltage gain necessary to deliver the required voltage at the low input of the thermoelectric element.

  6. INVESTING IN NEW BASE LOAD GENERATING CAPACITY

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

    INVESTING IN NEW BASE LOAD GENERATING CAPACITY Paul L. Joskow April 8, 2008 The views expressed here are my own. They do not reflect the views of the Alfred P. Sloan Foundation, MIT or any other organization with which I am affiliated. THE 25-YEAR VIEW * Significant investment in base-load generating capacity is required over the next 25 years to balance supply and demand efficiently - ~ 200 to 250 Gw (Gross) - Depends on retirements of older steam and peaking units - Depends on demand growth *

  7. Doubling Geothermal Generation Capacity by 2020: A Strategic...

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

    Doubling Geothermal Generation Capacity by 2020: A Strategic Analysis Doubling Geothermal Generation Capacity by 2020: A Strategic Analysis PDF icon NREL Doubling Geothermal ...

  8. Renewable Electricity Generation (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-09-01

    This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in renewable electricity generation technologies including solar, water, wind, and geothermal.

  9. Method for protecting an electric generator

    DOE Patents [OSTI]

    Kuehnle, Barry W.; Roberts, Jeffrey B.; Folkers, Ralph W.

    2008-11-18

    A method for protecting an electrical generator which includes providing an electrical generator which is normally synchronously operated with an electrical power grid; providing a synchronizing signal from the electrical generator; establishing a reference signal; and electrically isolating the electrical generator from the electrical power grid if the synchronizing signal is not in phase with the reference signal.

  10. Low-temperature Stirling Engine for Geothermal Electricity Generation

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Low-temperature Stirling Engine for Geothermal Electricity Generation Citation Details In-Document Search Title: Low-temperature Stirling Engine for Geothermal Electricity Generation Up to 2700 terawatt-hours per year of geothermal electricity generation capacity has been shown to be available within North America, typically with wells drilled into geologically active regions of the earth’s crust where

  11. Monthly Electric Generator data - EIA-860M data file

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

    EIA estimates the current and near-term unit inventory of electric power generating capacity by integrating the information on these surveys along with ongoing EIA research of new ...

  12. 1,"Elm Road Generating Station","Coal","Wisconsin Electric Power...

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

    Wisconsin" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Elm Road Generating Station","Coal","Wisconsin Electric Power Co",1268 2,"Point Beach ...

  13. Table 2. Ten largest plants by generation capacity, 2014

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

    Virginia" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Bath County","Pumped storage","Virginia Electric & Power Co",3003 2,"North ...

  14. Electricity Generating Portfolios with Small Modular Reactors...

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

    Electricity Generating Portfolios with Small Modular Reactors Electricity Generating Portfolios with Small Modular Reactors This paper provides a method for estimating the ...

  15. Policy Makers' Guidebook for Geothermal Electricity Generation...

    Open Energy Info (EERE)

    Electricity Generation Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Makers' Guidebook for Geothermal Electricity Generation AgencyCompany Organization:...

  16. Liupanshui Shuiliandong Electricity Generation Co Ltd | Open...

    Open Energy Info (EERE)

    Liupanshui Shuiliandong Electricity Generation Co Ltd Jump to: navigation, search Name: Liupanshui Shuiliandong Electricity Generation Co.Ltd. Place: Liupanshui City, Guizhou...

  17. Heat capacity, magnetic susceptibility, and electric resistivity of the

    Office of Scientific and Technical Information (OSTI)

    equiatomic ternary compound CePdSn (Journal Article) | SciTech Connect Heat capacity, magnetic susceptibility, and electric resistivity of the equiatomic ternary compound CePdSn Citation Details In-Document Search Title: Heat capacity, magnetic susceptibility, and electric resistivity of the equiatomic ternary compound CePdSn Results of low-temperature heat-capacity measurements (2--20 K) on CePdSn and of magnetic-susceptibility and electrical resistivity measurements (4.2--300 K) on CePdSn,

  18. Electricity Capacity Expansion Modeling, Analysis, and Visualization...

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

    and includes more sectors than ReEDS. For example, it includes modeling of the natural gas and coal supply markets, and a model of electricity load. The ReEDS model...

  19. *NEW!* Doubling Geothermal Generation Capacity by 2020: A Strategic

    Energy Savers [EERE]

    Analysis | Department of Energy *NEW!* Doubling Geothermal Generation Capacity by 2020: A Strategic Analysis *NEW!* Doubling Geothermal Generation Capacity by 2020: A Strategic Analysis PDF icon NREL Doubling Geothermal Capacity.pdf More Documents & Publications Geothermal Exploration Policy Mechanisms Offshore Wind Jobs and Economic Development Impacts in the United States: Four Regional Scenarios track 1: systems analysis | geothermal 2015 peer review

  20. Doubling Geothermal Generation Capacity by 2020: A Strategic Analysis |

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

    Department of Energy Doubling Geothermal Generation Capacity by 2020: A Strategic Analysis Doubling Geothermal Generation Capacity by 2020: A Strategic Analysis PDF icon NREL Doubling Geothermal Capacity.pdf More Documents & Publications Geothermal Exploration Policy Mechanisms Offshore Wind Jobs and Economic Development Impacts in the United States: Four Regional Scenarios track 1: systems analysis | geothermal 2015 peer review

  1. Apparatuses and methods for generating electric fields

    DOE Patents [OSTI]

    Scott, Jill R; McJunkin, Timothy R; Tremblay, Paul L

    2013-08-06

    Apparatuses and methods relating to generating an electric field are disclosed. An electric field generator may include a semiconductive material configured in a physical shape substantially different from a shape of an electric field to be generated thereby. The electric field is generated when a voltage drop exists across the semiconductive material. A method for generating an electric field may include applying a voltage to a shaped semiconductive material to generate a complex, substantially nonlinear electric field. The shape of the complex, substantially nonlinear electric field may be configured for directing charged particles to a desired location. Other apparatuses and methods are disclosed.

  2. Electricity Generation, Transmission and Energy

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

    Generation, Transmission and Energy Storage Systems Utilities and other electricity and transmission providers and regulators often require that equipment be proven safe and reliable before it is permitted on the grid. However, energy storage manufacturers and integrators are often unable to afford or provide the logistics necessary for this long-term testing and monitoring. The Energy Storage Test Pad (ESTP) in conjunction with the Energy Storage Analysis Laboratory (ESAL) provides trusted,

  3. U.S. Nuclear Generation of Electricity

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

    U.S. Nuclear Generation and Generating Capacity Data Released: May 26, 2016 Data for: ... 2004 XLS 2003 XLS P Preliminary U.S. Nuclear Generation: 1957 to latest available EIA ...

  4. Generators for Small Electrical and Thermal Systems

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

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

  5. Annual Electric Generator data - EIA-860 data file

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

    60 detailed data with previous form data (EIA-860A/860B) Release Date: October 21, 2015 Final 2014 data Next Release Date: October 15, 2016 Re-Release 2014 data: February 8, 2016 (CORRECTION) The survey Form EIA-860 collects generator-level specific information about existing and planned generators and associated environmental equipment at electric power plants with 1 megawatt or greater of combined nameplate capacity. Summary level data can be found in the Electric Power Annual. Detailed data

  6. Capacity utilization and fuel consumption in the electric power industry, 1970-1981

    SciTech Connect (OSTI)

    Lewis, E.W.

    1982-07-01

    This report updates the 1980 Energy Information Administration (EIA) publication entitled Trends in the Capacity Utilization and Fuel Consumption of Electric Utility Powerplants, 1970-1978, DOE/EIA-184/32. The analysis covers the period from 1970 through 1981, and examines trends during the period prior to the 1973 Arab oil embargo (1970-1973), after the embargo (1974-1977), and during the immediate past (1978-1981). The report also addresses other factors affecting the electric utility industry since the oil embargo: the reduction in foreign oil supplies as a result of the 1979 Iranian crisis, the 1977 drought in the western United States, the 1978 coal strike by the United Mine Workers Union, and the shutdown of nuclear plants in response to the accident at Three Mile Island. Annual data on electric utility generating capacity, net generation, and fuel consumption are provided to identify changes in patterns of power plant capacity utilization and dispatching.

  7. Capacity Value of PV and Wind Generation in the NV Energy System

    SciTech Connect (OSTI)

    Lu, Shuai; Diao, Ruisheng; Samaan, Nader A.; Etingov, Pavel V.

    2014-03-21

    Calculation of photovoltaic (PV) and wind power capacity values is important for estimating additional load that can be served by new PV or wind installations in the electrical power system. It also is the basis for assigning capacity credit payments in systems with markets. Because of variability in solar and wind resources, PV and wind generation contribute to power system resource adequacy differently from conventional generation. Many different approaches to calculating PV and wind generation capacity values have been used by utilities and transmission operators. Using the NV Energy system as a study case, this report applies peak-period capacity factor (PPCF) and effective load carrying capability (ELCC) methods to calculate capacity values for renewable energy sources. We show the connection between the PPCF and ELCC methods in the process of deriving a simplified approach that approximates the ELCC method. This simplified approach does not require generation fleet data and provides the theoretical basis for a quick check on capacity value results of PV and wind generation. The diminishing return of capacity benefit as renewable generation increases is conveniently explained using the simplified capacity value approach.

  8. Biomass Power Generation Market Capacity is Estimated to Reach...

    Open Energy Info (EERE)

    Biomass Power Generation Market Capacity is Estimated to Reach 122,331.6 MW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150)...

  9. Table 2. Ten largest plants by generation capacity, 2014

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

    Delaware" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Hay Road","Natural gas","Calpine Mid-Atlantic Generation LLC",1136 2,"Edge ...

  10. PUCT Substantive Rule 25.91 Generating Capacity Reports | Open...

    Open Energy Info (EERE)

    PUCT Substantive Rule 25.91 Generating Capacity Reports Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: PUCT Substantive...

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

    Energy Savers [EERE]

    Quadrennial Energy Review Second Installment Electricity: Generation to End-Use ... Ernest Moniz, United States Secretary of Energy As United States Secretary of Energy, Dr. ...

  12. Electricity Generating Portfolios with Small Modular Reactors

    Broader source: Energy.gov [DOE]

    A paper by Geoffrey Rothwell, Ph.D., Stanford University (retired), and Francesco Ganda, Ph.D., Argonne National Laboratory on "Electricity Generating Portfolios with Small Modular Reactors".

  13. Policymakers' Guidebook for Geothermal Electricity Generation (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-02-01

    This document provides an overview of the NREL Geothermal Policymakers' Guidebook for Electricity Generation with information directing people to the Web site for more in-depth information.

  14. Electricity market design for generator revenue sufficiency with...

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

    Electricity market design for generator revenue sufficiency with increased variable generation Title Electricity market design for generator revenue sufficiency with increased...

  15. Methodologies for estimating one-time hazardous waste generation for capacity generation for capacity assurance planning

    SciTech Connect (OSTI)

    Tonn, B.; Hwang, Ho-Ling; Elliot, S.; Peretz, J.; Bohm, R.; Hendrucko, B.

    1994-04-01

    This report contains descriptions of methodologies to be used to estimate the one-time generation of hazardous waste associated with five different types of remediation programs: Superfund sites, RCRA Corrective Actions, Federal Facilities, Underground Storage Tanks, and State and Private Programs. Estimates of the amount of hazardous wastes generated from these sources to be shipped off-site to commercial hazardous waste treatment and disposal facilities will be made on a state by state basis for the years 1993, 1999, and 2013. In most cases, estimates will be made for the intervening years, also.

  16. Identification and definition of unbundled electric generation and transmission services

    SciTech Connect (OSTI)

    Kirby, B.; Hirst, E.; Vancoevering, J.

    1995-03-01

    State and federal regulators, private and public utilities, large and small customers, power brokers and marketers, and others are engaged in major debates about the future structure of the electric industry. Although the outcomes are far from certain, it seems clear that customers will have much greater choices about the electric services they purchase and from whom they buy these services. This report examines the ``ancillary`` services that are today buried within the typical vertically integrated utility. These ancillary services support and make possible the provision of the basic services of generating capacity, energy supply, and power delivery. These ancillary services include: Management of generating units; reserve generating capacity to follow variations in customer loads, to provide capacity and energy when generating units or transmission lines suddenly fall, to maintain electric-system stability, and to provide local-area security; transmission-system monitoring and control; replacement of real power and energy losses; reactive-power management and voltage regulation; transmission reserves; repair and maintenance of the transmission network; metering, billing, and communications; and assurance of appropriate levels of power quality. Our focus in this report, the first output from a larger Oak Ridge National Laboratory project, is on identification and definition of these services. Later work in this project will examine more closely the costs and pricing options for each service.

  17. electric generation | OpenEI Community

    Open Energy Info (EERE)

    Submitted by Graham7781(2017) Super contributor 2 August, 2012 - 13:30 The Transparent Cost Database (TCDB) advanced vehicles electric generation NREL OpenEI renewables tcdb This...

  18. Renewable Electricity Generation | Department of Energy

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

    Renewable Electricity Generation Renewable Electricity Generation Geothermal Geothermal Read more Solar Solar Read more Water Water Read more Wind Wind Read more Our nation has abundant solar, water, wind, and geothermal energy resources, and many U.S. companies are developing, manufacturing, and installing cutting-edge, high-tech renewable energy systems. The Office of Energy Efficiency and Renewable Energy (EERE) leads a large network of researchers and other partners to deliver innovative

  19. THE BIRTH OF NUCLEAR-GENERATED ELECTRICITY

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

    BIRTH OF NUCLEAR-GENERATED ELECTRICITY The first time that electricity was generated from nuclear energy occurred in an experimental breeder reactor in Idaho in 1951. The idea for a breeder reactor (a reactor that could produce more fuel than it uses) first occurred to scientists working on the nation's wartime atomic energy program in the early 1940's. Experimental evidence indicated that the breeding of nuclear fuel was possible in a properly designed reactor, but time and resources were not

  20. Water Constraints in an Electric Sector Capacity Expansion Model

    SciTech Connect (OSTI)

    Macknick, Jordan; Cohen, Stuart; Newmark, Robin; Martinez, Andrew; Sullivan, Patrick; Tidwell, Vince

    2015-07-17

    This analysis provides a description of the first U.S. national electricity capacity expansion model to incorporate water resource availability and costs as a constraint for the future development of the electricity sector. The Regional Energy Deployment System (ReEDS) model was modified to incorporate water resource availability constraints and costs in each of its 134 Balancing Area (BA) regions along with differences in costs and efficiencies of cooling systems. Water resource availability and cost data are from recently completed research at Sandia National Laboratories (Tidwell et al. 2013b). Scenarios analyzed include a business-as-usual 3 This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. scenario without water constraints as well as four scenarios that include water constraints and allow for different cooling systems and types of water resources to be utilized. This analysis provides insight into where water resource constraints could affect the choice, configuration, or location of new electricity technologies.

  1. Modeling Climate-Water Impacts on Electricity Sector Capacity Expansion: Preprint

    SciTech Connect (OSTI)

    Cohen, S. M.; Macknick, J.; Averyt, K.; Meldrum, J.

    2014-05-01

    Climate change has the potential to exacerbate water availability concerns for thermal power plant cooling, which is responsible for 41% of U.S. water withdrawals. This analysis describes an initial link between climate, water, and electricity systems using the National Renewable Energy Laboratory (NREL) Regional Energy Deployment System (ReEDS) electricity system capacity expansion model. Average surface water projections from Coupled Model Intercomparison Project 3 (CMIP3) data are applied to surface water rights available to new generating capacity in ReEDS, and electric sector growth is compared with and without climate-influenced water rights. The mean climate projection has only a small impact on national or regional capacity growth and water use because most regions have sufficient unappropriated or previously retired water rights to offset climate impacts. Climate impacts are notable in southwestern states that purchase fewer water rights and obtain a greater share from wastewater and other higher-cost water resources. The electric sector climate impacts demonstrated herein establish a methodology to be later exercised with more extreme climate scenarios and a more rigorous representation of legal and physical water availability.

  2. Proton Exchange Membrane Fuel Cells for Electrical Power Generation...

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

    Proton Exchange Membrane Fuel Cells for Electrical Power Generation On-Board Commercial Airplanes Proton Exchange Membrane Fuel Cells for Electrical Power Generation On-Board ...

  3. Electric Power Generation from Coproduced Fluids from Oil and...

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

    Electric Power Generation from Coproduced Fluids from Oil and Gas Wells Electric Power Generation from Coproduced Fluids from Oil and Gas Wells The primary objective of this ...

  4. Fact #844: October 27, 2014 Electricity Generated from Coal has...

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

    From 2002 to 2012, most states have reduced their reliance on coal for electricity generation. The figure below shows the percent change in electricity generated by coal and ...

  5. Yangbi Puping Electric Power Generation Co Ltd | Open Energy...

    Open Energy Info (EERE)

    Puping Electric Power Generation Co Ltd Jump to: navigation, search Name: Yangbi Puping Electric Power Generation Co., Ltd Place: Yunnan Province, China Zip: 672500 Sector: Hydro...

  6. Renewable Electricity Generation (Fact Sheet), Office of Energy...

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

    Renewable Electricity Generation (Fact Sheet), Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy (DOE) Renewable Electricity Generation (Fact Sheet), ...

  7. EERE FY 2016 Budget Overview -- Renewable Electricity Generation...

    Office of Environmental Management (EM)

    Renewable Electricity Generation EERE FY 2016 Budget Overview -- Renewable Electricity Generation Office of Energy Efficiency and Renewable Energy FY 2016 Budget Overview --...

  8. Electric Power Generation from Coproduced Fluids from Oil and...

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

    Electric Power Generation from Coproduced Fluids from Oil and Gas Wells Principal ... Electric Power Generation from Coproduced Fluids from Oil and Gas Wells 3 | US DOE ...

  9. EIS-0476: Vogtle Electric Generating Plant in Burke County, GA...

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

    6: Vogtle Electric Generating Plant in Burke County, GA EIS-0476: Vogtle Electric Generating Plant in Burke County, GA February 8, 2012 EIS-0476: Final Environmental Impact ...

  10. New Zealand Interactive Electricity Generation Cost Model 2010...

    Open Energy Info (EERE)

    Interactive Electricity Generation Cost Model 2010 Jump to: navigation, search Tool Summary LAUNCH TOOL Name: New Zealand Interactive Electricity Generation Cost Model 2010 Agency...

  11. Yun Xingfu Electricity Generation and Supply Co Ltd | Open Energy...

    Open Energy Info (EERE)

    Xingfu Electricity Generation and Supply Co Ltd Jump to: navigation, search Name: Yun Xingfu Electricity Generation and Supply Co., Ltd Place: Lincang City, Yunnan Province, China...

  12. Yancheng Chuangneng Straw Electricity Generation Co Ltd | Open...

    Open Energy Info (EERE)

    Yancheng Chuangneng Straw Electricity Generation Co Ltd Jump to: navigation, search Name: Yancheng Chuangneng Straw Electricity Generation Co Ltd Place: Yancheng, Jiangsu Province,...

  13. Category:Electricity Generating Technologies | Open Energy Information

    Open Energy Info (EERE)

    Electricity Generating Technologies Jump to: navigation, search Electricity Generating Technologies Subcategories This category has the following 5 subcategories, out of 5 total. B...

  14. Zhenkang County Jineng Electricity Generation Co Ltd | Open Energy...

    Open Energy Info (EERE)

    Zhenkang County Jineng Electricity Generation Co Ltd Jump to: navigation, search Name: Zhenkang County Jineng Electricity Generation Co., Ltd Place: Lincang, Yunnan Province, China...

  15. Table 11.4 Electricity: Components of Onsite Generation, 2010...

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

    4 Electricity: Components of Onsite Generation, 2010; Level: National and Regional Data; ... Next MECS will be fielded in 2015 Table 11.4 Electricity: Components of Onsite Generation, ...

  16. Implementation of optimum solar electricity generating system

    SciTech Connect (OSTI)

    Singh, Balbir Singh Mahinder Karim, Samsul Ariffin A.; Sivapalan, Subarna; Najib, Nurul Syafiqah Mohd; Menon, Pradeep

    2014-10-24

    Under the 10{sup th} Malaysian Plan, the government is expecting the renewable energy to contribute approximately 5.5% to the total electricity generation by the year 2015, which amounts to 98MW. One of the initiatives to ensure that the target is achievable was to establish the Sustainable Energy Development Authority of Malaysia. SEDA is given the authority to administer and manage the implementation of the feed-in tariff (FiT) mechanism which is mandated under the Renewable Energy Act 2011. The move to establish SEDA is commendable and the FiT seems to be attractive but there is a need to create awareness on the implementation of the solar electricity generating system (SEGS). In Malaysia, harnessing technologies related to solar energy resources have great potential for implementation. However, the main issue that plagues the implementation of SEGS is the intermittent nature of this source of energy. The availability of sunlight is during the day time, and there is a need for electrical energy storage system, so that there is electricity available during the night time as well. The meteorological condition such as clouds, haze and pollution affects the SEGS as well. The PV based SEGS is seems to be promising electricity generating system that can contribute towards achieving the 5.5% target and will be able to minimize the negative effects of utilizing fossil fuels for electricity generation on the environment. Malaysia is committed to Kyoto Protocol, which emphasizes on fighting global warming by achieving stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system. In this paper, the technical aspects of the implementation of optimum SEGS is discussed, especially pertaining to the positioning of the PV panels.

  17. An examination of the costs and critical characteristics of electric utility distribution system capacity enhancement projects

    SciTech Connect (OSTI)

    Balducci, Patrick J.; Schienbein, Lawrence A.; Nguyen, Tony B.; Brown, Daryl R.; Fathelrahman, Eihab M.

    2004-06-01

    This report classifies and analyzes the capital and total costs (e.g., income tax, property tax, depreciation, centralized power generation, insurance premiums, and capital financing) associated with 130 electricity distribution system capacity enhancement projects undertaken during 1995-2002 or planned in the 2003-2011 time period by three electric power utilities operating in the Pacific Northwest. The Pacific Northwest National Laboratory (PNNL), in cooperation with participating utilities, has developed a large database of over 3,000 distribution system projects. The database includes brief project descriptions, capital cost estimates, the stated need for each project, and engineering data. The database was augmented by additional technical (e.g., line loss, existing substation capacities, and forecast peak demand for power in the area served by each project), cost (e.g., operations, maintenance, and centralized power generation costs), and financial (e.g., cost of capital, insurance premiums, depreciations, and tax rates) data. Though there are roughly 3,000 projects in the database, the vast majority were not included in this analysis because they either did not clearly enhance capacity or more information was needed, and not available, to adequately conduct the cost analyses. For the 130 projects identified for this analysis, capital cost frequency distributions were constructed, and expressed in terms of dollars per kVA of additional capacity. The capital cost frequency distributions identify how the projects contained within the database are distributed across a broad cost spectrum. Furthermore, the PNNL Energy Cost Analysis Model (ECAM) was used to determine the full costs (e.g., capital, operations and maintenance, property tax, income tax, depreciation, centralized power generation costs, insurance premiums and capital financing) associated with delivering electricity to customers, once again expressed in terms of costs per kVA of additional capacity. The projects were sorted into eight categories (capacitors, load transfer, new feeder, new line, new substation, new transformer, reconductoring, and substation capacity increase) and descriptive statistics (e.g., mean, total cost, number of observations, and standard deviation) were constructed for each project type. Furthermore, statistical analysis has been performed using ordinary least squares regression analysis to identify how various project variables (e.g., project location, the primary customer served by the project, the type of project, the reason for the upgrade, size of the upgrade) impact the unit cost of the project.

  18. Biomass Fired Electricity Generation Market | OpenEI Community

    Open Energy Info (EERE)

    Fired Electricity Generation Market Home There are currently no posts in this category. Syndicate...

  19. Potential for electricity generation from biomass residues in Cuba

    SciTech Connect (OSTI)

    Lora, E.S.

    1995-11-01

    The purpose of this paper is the study of the availability of major biomass residues in Cuba and the analysis of the electricity generation potential by using different technologies. An analysis of the changes in the country`s energy balance from 1988 up to date is presented, as well as a table with the availability study results and the energy equivalent for the following biomass residues: sugar cane bagasse and trash, rice and coffee husk, corn an cassava stalks and firewood. A total equivalent of 4.42 10{sup 6} tons/year of fuel-oil was obtained. Possible scenarios for the electricity production increase in the sugar industry are presented too. The analysis is carried out for a high stream parameter CEST and two BIG/GT system configurations. Limitations are introduced about the minimal milling capacity of the sugar mills for each technology. The calculated {open_quotes}real{close_quotes} electricity generation potential for BIG/GT systems, based on GE LM5000 CC gas turbines, an actual cane harvest of 58.0 10{sup 6} tons/year, half the available trash utilization and an specific steam consumption of 210 kg/tc, was 18601,0 GWh/year. Finally different alternatives are presented for low-scale electricity generation based on the other available agricultural residues.

  20. Advanced Methods for Incorporating Solar Energy Technologies into Electric Sector Capacity-Expansion Models: Literature Review and Analysis

    SciTech Connect (OSTI)

    Sullivan, P.; Eurek, K.; Margolis, R.

    2014-07-01

    Because solar power is a rapidly growing component of the electricity system, robust representations of solar technologies should be included in capacity-expansion models. This is a challenge because modeling the electricity system--and, in particular, modeling solar integration within that system--is a complex endeavor. This report highlights the major challenges of incorporating solar technologies into capacity-expansion models and shows examples of how specific models address those challenges. These challenges include modeling non-dispatchable technologies, determining which solar technologies to model, choosing a spatial resolution, incorporating a solar resource assessment, and accounting for solar generation variability and uncertainty.

  1. Coal based electric generation comparative technologies report

    SciTech Connect (OSTI)

    Not Available

    1989-10-26

    Ohio Clean Fuels, Inc., (OCF) has licensed technology that involves Co-Processing (Co-Pro) poor grade (high sulfur) coal and residual oil feedstocks to produce clean liquid fuels on a commercial scale. Stone Webster is requested to perform a comparative technologies report for grassroot plants utilizing coal as a base fuel. In the case of Co-Processing technology the plant considered is the nth plant in a series of applications. This report presents the results of an economic comparison of this technology with other power generation technologies that use coal. Technologies evaluated were:Co-Processing integrated with simple cycle combustion turbine generators, (CSC); Co-Processing integrated with combined cycle combustion turbine generators, (CCC); pulverized coal-fired boiler with flue gas desulfurization and steam turbine generator, (PC) and Circulating fluidized bed boiler and steam turbine generator, (CFB). Conceptual designs were developed. Designs were based on approximately equivalent net electrical output for each technology. A base case of 310 MWe net for each technology was established. Sensitivity analyses at other net electrical output sizes varying from 220 MWe's to 1770 MWe's were also performed. 4 figs., 9 tabs.

  2. Enhanced capacity and stability for the separation of cesium in electrically switched ion exchange

    SciTech Connect (OSTI)

    Tawfic, A.F.; Dickson, S.E.; Kim, Y.; Mekky, W.

    2015-03-15

    Electrically switched ion exchange (ESIX) can be used to separate ionic contaminants from industrial wastewater, including that generated by the nuclear industry. The ESIX method involves sequential application of reduction and oxidation potentials to an ion exchange film to induce the respective loading and unloading of cesium. This technology is superior to conventional methods (e.g electrodialysis reversal or reverse osmosis) as it requires very little energy for ionic separation. In previous studies, ESIX films have demonstrated relatively low ion exchange capacities and limited film stabilities over repeated potential applications. In this study, the methodology for the deposition of electro-active films (nickel hexacyanoferrate) on nickel electrodes was modified to improve the ion exchange capacity for cesium removal using ESIX. Cyclic voltammetry was used to investigate the ion exchange capacity and stability. Scanning electron microscopy (SEM) was used to characterize the modified film surfaces. Additionally, the films were examined for the separation of cesium ions. This modified film preparation technique enhanced the ion exchange capacity and improves the film stability compared to previous methods for the deposition of ESIX films. (authors)

  3. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

    SciTech Connect (OSTI)

    Tidball, Rick; Bluestein, Joel; Rodriguez, Nick; Knoke, Stu

    2010-11-01

    The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

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

    Buildings Energy Data Book [EERE]

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

  5. EIS-0416: Ivanpah Solar Electric Generating System in San Bernardino...

    Energy Savers [EERE]

    Ivanpah Solar Electric Generating System (07-AFC-5) Project, Proposal to Construct a 400-m Megawatt Concentrated Solar Power Tower, Thermal-Electric Power Plant, San Bernardino ...

  6. Attend a Webinar on AMO's Next Generation Electric Machines Funding

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

    Opportunity | Department of Energy a Webinar on AMO's Next Generation Electric Machines Funding Opportunity Attend a Webinar on AMO's Next Generation Electric Machines Funding Opportunity March 24, 2015 - 3:09pm Addthis AMO's Next Generation Electric Machines (NGEM) program recently released the Funding Opportunity Announcement (FOA): Next Generation Electric Machines: Megawatt Class Motors. $20 million will fund four to six projects that develop a new generation of energy efficient, high

  7. Table 2. Ten largest plants by generation capacity, 2014

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

    Washington" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079 2,"Chief ...

  8. Table 2. Ten largest plants by generation capacity, 2014

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

    Colorado" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Comanche (CO)","Coal","Public Service Co of Colorado",1410 2,"Craig ...

  9. Table 2. Ten largest plants by generation capacity, 2014

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

    Utah" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Intermountain Power Project","Coal","Los Angeles Department of Water & Power",1800 ...

  10. Table 2. Ten largest plants by generation capacity, 2014

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

    Tennessee" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Cumberland (TN)","Coal","Tennessee Valley Authority",2470 2,"Sequoyah","Nuclear","Tenn...

  11. Table 2. Ten largest plants by generation capacity, 2014

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

    Oklahoma" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Northeastern","Coal","Public Service Co of Oklahoma",1830 2,"Redbud Power ...

  12. Table 2. Ten largest plants by generation capacity, 2014

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

    United States" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079 2,"Palo ...

  13. Table 2. Ten largest plants by generation capacity, 2014

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

    Idaho" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Brownlee","Hydroelectric","Idaho Power Co",744 2,"Dworshak","Hydroelectric","USACE ...

  14. Chena Hot Springs Resort - Electric Power Generation Using Geothermal...

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

    Generation Using Geothermal Fluid Coproduced from Oil andor Gas Wells Chena Hot Springs Resort - Electric Power Generation Using Geothermal Fluid Coproduced from Oil andor Gas ...

  15. Table 2. Ten largest plants by generation capacity, 2014

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

    Louisiana" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Nine Mile Point","Natural gas","Entergy Louisiana LLC",2083.3 2,"Willow Glen","Natural ...

  16. Table 2. Ten largest plants by generation capacity, 2014

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

    District of Columbia" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"US GSA Heating and Transmission","Natural gas","US GSA Heating and ...

  17. Table 2. Ten largest plants by generation capacity, 2014

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

    California" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Dynegy Moss Landing Power Plant","Natural gas","Dynegy -Moss Landing LLC",2529 ...

  18. Optimized Hydrogen and Electricity Generation from Wind

    Broader source: Energy.gov [DOE]

    Several optimizations can be employed to create hydrogen and electricity from a wind energy source. The key element in hydrogen production from an electrical source is an electrolyzer to convert water and electricity into hydrogen and oxygen.

  19. Vogtle Electric Generating Plant ETE Analysis Review

    SciTech Connect (OSTI)

    Diediker, Nona H.; Jones, Joe A.

    2006-12-09

    Under contract with the Nuclear Regulatory Commission (NRC), staff from Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratory (SNL)-Albuquerque reviewed the evacuation time estimate (ETE) analysis dated April 2006 prepared by IEM for the Vogtle Electric Generating Plant (VEGP). The ETE analysis was reviewed for consistency with federal regulations using the NRC guidelines in Review Standard (RS)-002, Supplement 2 and Appendix 4 to NUREG-0654, and NUREG/CR-4831. Additional sources of information referenced in the analysis and used in the review included NUREG/CR-6863 and NUREG/CR-6864. The PNNL report includes general comments, data needs or clarifications, and requests for additional information (RAI) resulting from review of the ETE analysis.

  20. Property:Capacity | Open Energy Information

    Open Energy Info (EERE)

    Capacity Jump to: navigation, search Property Name Capacity Property Type Quantity Description Potential electric energy generation, default units of megawatts. Use this property...

  1. EIS-0416: Ivanpah Solar Electric Generating System in San Bernardino

    Energy Savers [EERE]

    County, CA | Department of Energy 6: Ivanpah Solar Electric Generating System in San Bernardino County, CA EIS-0416: Ivanpah Solar Electric Generating System in San Bernardino County, CA Documents Available for Download October 22, 2010 EIS-0416: EPA Notice of Availability of the Final Environmental Impact Statement Ivanpah Solar Electric Generating System (07-AFC-5) Project, Proposal to Construct a 400-m Megawatt Concentrated Solar Power Tower, Thermal-Electric Power Plant, San Bernardino

  2. Table 2. Ten largest plants by generation capacity, 2014

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

    Power & Light Co",1912 9,"Hines Energy Complex","Natural gas","Duke Energy Florida, Inc",1912 10,"H L Culbreath Bayside Power Station","Natural gas","Tampa Electric Co",1854

  3. Table 2. Ten largest plants by generation capacity, 2014

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

    Sandy","Coal","Kentucky Power Co",1060 9,"Riverside Generating LLC","Natural gas","Riverside Generating Co LLC",825 10,"J K Smith","Natural gas","East Kentucky Power Coop, Inc",784

  4. Electric Power Generation and Water Use Data

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

    Department of Energy Electric Kettle Takes Down Microwave in Final Round of #EnergyFaceoff Electric Kettle Takes Down Microwave in Final Round of #EnergyFaceoff November 24, 2014 - 12:13pm Addthis The electric kettle wins the final round of #EnergyFaceoff. | Graphic by Stacy Buchanan, National Renewable Energy Laboratory The electric kettle wins the final round of #EnergyFaceoff. | Graphic by Stacy Buchanan, National Renewable Energy Laboratory Allison Casey Senior Communicator, NREL How can

  5. Lincoln Electric System - Renewable Generation Rate (Nebraska...

    Open Energy Info (EERE)

    Applicable Sector Commercial, Industrial Eligible Technologies Solar Thermal Electric, Photovoltaics, Landfill Gas, Wind, Biomass, Hydroelectric, Anaerobic Digestion, Small...

  6. Electrical Generation for More-Electric Aircraft using Solid...

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

    Solid Oxide Fuel Cell (SOFC) Technology for Greener Airplanes Solid Oxide Fuel Cell and Power System Development at PNNL Proton Exchange Membrane Fuel Cells for Electrical Power ...

  7. Implications of Lower Natural Gas Prices for Electric Generators in the Southeast, The

    Reports and Publications (EIA)

    2009-01-01

    This supplement to the Energy Information Administration's (EIA) May 2009 Short-Term Energy Outlook (STEO) focuses on changes in the utilization of coal- and natural-gas-fired generation capacity in the electric utility sector as the differential between delivered fuel prices narrows.

  8. Renewable Electricity Generation (Fact Sheet), Office of Energy Efficiency

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

    and Renewable Energy, U.S. Department of Energy (DOE) | Department of Energy Renewable Electricity Generation (Fact Sheet), Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy (DOE) Renewable Electricity Generation (Fact Sheet), Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy (DOE) This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in renewable electricity generation technologies including solar,

  9. Renewable Electricity Generation Success Stories | Department of Energy

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

    Renewable Electricity Generation Success Stories Renewable Electricity Generation Success Stories Renewable Electricity Generation Success Stories The Office of Energy Efficiency and Renewable Energy's (EERE) successes in converting tax dollars into more affordable, effective, and deployable renewable energy sources make it possible to use these technologies in more ways each day. Learn how EERE's investments in geothermal, solar, water, and wind energy translate into more efficient, affordable

  10. EERE FY 2016 Budget Overview -- Renewable Electricity Generation |

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

    Department of Energy Renewable Electricity Generation EERE FY 2016 Budget Overview -- Renewable Electricity Generation Office of Energy Efficiency and Renewable Energy FY 2016 Budget Overview -- Renewable Electricity Generation, a presentation with Doug Hollett, Deputy Assistant Secretary, March 2015. PDF icon FY 2016 Budget Overview Webinar Presentation -- Renewables More Documents & Publications EERE FY 2015 Budget Request Webinar -- Renewable Power Office of Energy Efficiency and

  11. Energy Secretary Ernest Moniz Remarks at Vogtle Electric Generating...

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

    Remarks at Vogtle Electric Generating Plant Loan Guarantee Announcement in Waynesboro, GA ... Of course, Atlanta in particular was on the national news in terms of these incredible ...

  12. Next Generation Electric Machines: Megawatt Class Motors FOA Informational Webinar

    Broader source: Energy.gov [DOE]

    The Next Generation Electric Machines: Megawatt Class Motors FOA Informational Webinar will discuss standard procedures regarding the EERE Office and FOA process.

  13. MHK Technologies/The Ocean Hydro Electricity Generator Plant...

    Open Energy Info (EERE)

    The Ocean Hydro Electricity Generator Plant.jpg Technology Profile Primary Organization Free Flow 69 Technology Type Click here Axial Flow Turbine Technology Description The O H E...

  14. MHK Technologies/Current Electric Generator | Open Energy Information

    Open Energy Info (EERE)

    harnessing the motion of water current to rotate the generator Two forms of magnetic induction and solar cells on the outer housing will produce electricity very efficiently The...

  15. Perry Wyoming manure to electricity generation plant | Open Energy...

    Open Energy Info (EERE)

    will build and operate anaerobic digestion systems to convert animal manure into methane for electricity generation. Coordinates: 42.895849, -89.760231 Show Map Loading...

  16. Adapting On-site Electrical Generation Platforms for Producer Gas

    Broader source: Energy.gov [DOE]

    Internal combustion reciprocating engine generators (gensets) are regularly deployed at distribution centers, small municipal utilities, and public institutions to provide on-site electricity...

  17. Edison Electric Institute State Generation and Transmission Siting...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: Edison Electric Institute State Generation and Transmission Siting...

  18. Renewable Energy for Electricity Generation in Latin America...

    Open Energy Info (EERE)

    and Outlook (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy for Electricity Generation in Latin America: Market, Technologies, and...

  19. Electric Power Generation Systems | netl.doe.gov

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

    Electric Power Generation Systems Coal gasification-based power plants Coal combustion-based power plants Natural gas-fueled power plants Turbines Fuel cells Existing power plants...

  20. Native American Technical Assistance and Training for Renewable Energy Resource Development and Electrical Generation Facilities Management

    SciTech Connect (OSTI)

    A. David Lester

    2008-10-17

    The Council of Energy Resource Tribes (CERT) will facilitate technical expertise and training of Native Americans in renewable energy resource development for electrical generation facilities, and distributed generation options contributing to feasibility studies, strategic planning and visioning. CERT will also provide information to Tribes on energy efficiency and energy management techniques.This project will provide facilitation and coordination of expertise from government agencies and private industries to interact with Native Americans in ways that will result in renewable energy resource development, energy efficiency program development, and electrical generation facilities management by Tribal entities. The intent of this cooperative agreement is to help build capacity within the Tribes to manage these important resources.

  1. Flying Electric Generators | OpenEI Community

    Open Energy Info (EERE)

    by this Institute of Electrical and Electronics Engineers paper handle high power density winds, and are theoretically capable of delivering a constant 30 MW to the grid. At...

  2. Deployment of GTHTR300 Cogeneration for Hydrogen and Electric Generation

    SciTech Connect (OSTI)

    Kazuhiko Kunitomi; Xing Yan; Isao Minatsuki

    2004-07-01

    JAERI (Japan Atomic Energy Research Institute) has started the design study on the GTHTR300-cogeneration (GTHTR300C) aiming at producing electricity by a helium gas turbine and hydrogen by a thermochemical water splitting method (IS process method). The GTHTR300C is a block type High Temperature Gas-cooled Reactor (HTGR) with its reactor thermal power of 600 MW and outlet coolant temperature of 950 deg. C. The Intermediate Heat Exchanger (IHX) is located between the reactor pressure vessel (RPV) and the gas turbine system. The heat capacity of the IHX is 170 MW and is used for hydrogen production. The balance of the reactor thermal power is used for electric generation. The GTHTR300C is designed based on existing technologies for the High Temperature Engineering Test Reactor (HTTR) and the helium turbine power conversion technology under development for the Gas Turbine High Temperature Reactor (GTHTR300). This paper describes the deployment of the GTHTR300C together with the original design features and advantages of the system. (authors)

  3. North Dakota: EERE-Funded Project Recycles Energy, Generates Electricity

    Broader source: Energy.gov [DOE]

    This SEP-funded project in Williston, North Dakota, places generators at oil production well sites to transform wellhead flare gas into high-quality, three-phase electricity,which is then sold to the local rural electric cooperatives. The modern, natural gas-fueled generators burn cleanly with ultra-low emissions ratings that exceed state and federal emissions standards.

  4. Energy Intensity Indicators: Electricity Generation Energy Intensity

    Broader source: Energy.gov [DOE]

    A kilowatt-hour (kWh) of electric energy delivered to the final user has an energy equivalent to 3,412 British thermal units (Btu). Figure E1, below, tracks how much energy was used by the various...

  5. Next Generation Electric Machines | Department of Energy

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

    a step-change that enables more efficient use of electricity, as well as reduced drive system size and weight, ... NGEM: MEGAWATT CLASS MOTORS Five projects were selected in ...

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

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

    ... Today, our member cooperatives provide electricity to over 42 million people in 47 states, many of whom are in "persistent poverty" counties, and they do so in an environment of ...

  7. Funding Opportunity: Next Generation Electric Machines: Megawatt...

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

    that leverage the benefits of state of the art power electronics (i.e., wide band gap devices) with energy efficient, high speed, direct drive, megawatt (MW) class electric ...

  8. " Electricity Generation by Census Region, Industry...

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

    ...,"Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" ...

  9. Funding Opportunity: Next Generation Electric Machines: Megawatt Class

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

    Motors | Department of Energy Funding Opportunity: Next Generation Electric Machines: Megawatt Class Motors Funding Opportunity: Next Generation Electric Machines: Megawatt Class Motors March 19, 2015 - 4:45pm Addthis This Funding Opportunity Announcement (FOA) is focused on developing MV integrated drive systems that leverage the benefits of state of the art power electronics (i.e., wide band gap devices) with energy efficient, high speed, direct drive, megawatt (MW) class electric motors

  10. Unbundling generation and transmission services for competitive electricity markets

    SciTech Connect (OSTI)

    Hirst, E.; Kirby, B.

    1998-01-01

    Ancillary services are those functions performed by the equipment and people that generate, control, and transmit electricity in support of the basic services of generating capacity, energy supply, and power delivery. The Federal Energy Regulatory Commission (FERC) defined such services as those `necessary to support the transmission of electric power from seller to purchaser given the obligations of control areas and transmitting utilities within those control areas to maintain reliable operations of the interconnected transmission system.` The nationwide cost of ancillary services is about $12 billion a year, roughly 10% of the cost of the energy commodity. More important than the cost, however, is the necessity of these services for bulk-power reliability and for the support of commercial transactions. FERC`s landmark Order 888 included a pro forma tariff with provision for six key ancillary services. The Interconnected Operations Services Working Group identified another six services that it felt were essential to the operation of bulk-power systems. Several groups throughput the United States have created or are forming independent system operators, which will be responsible for reliability and commerce. To date, the electricity industry (including traditional vertically integrated utilities, distribution utilities, power markets and brokers, customers, and state and federal regulators) has paid insufficient attention to these services. Although the industry had made substantial progress in identifying and defining the key services, much remains to be doe to specify methods to measure the production, delivery, and consumption of these services; to identify the costs and cost-allocation factors for these services; and to develop market and operating rules for their provision and pricing. Developing metrics, determining costs, and setting pricing rules are important because most of these ancillary services are produced by the same pieces of equipment that produce the basic electricity commodity. Thus, the production of energy and ancillary services is highly interactive, sometimes complementary and sometimes competing. In contrast to today`s typical time-invariant, embedded-cost prices, competitive prices for ancillary services would vary with system loads and spot prices for energy.

  11. Electric Power Generation and Water Use Data

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

    Power Generation and Water Use Data - Sandia Energy Energy Search Icon Sandia Home Locations ... Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power ...

  12. ,"Table 4.B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region,"

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

    B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region," ,"2001-2010 Actual, 2011-2015 Projected" ,"(Megawatts and Percent)" ,"Interconnection","NERC Regional Assesment Area","Net Internal Demand[1] -- Winter" ,,,"Actual",,,,,,,,,,"Projected"

  13. Evaluation of glare at the Ivanpah Solar Electric Generating System

    SciTech Connect (OSTI)

    Ho, C. K.; Sims, C. A.; Christian, J. M.

    2015-06-05

    The Ivanpah Solar Electric Generating System (ISEGS), located on I-15 about 40 miles (60 km) south of Las Vegas, NV, consists of three power towers 459 ft (140 m) tall and over 170,000 reflective heliostats with a rated capacity of 390 MW. In addition, reports of glare from the plant have been submitted by pilots and air traffic controllers and recorded by the Aviation Safety Reporting System and the California Energy Commission since 2013. Aerial and ground-based surveys of the glare were conducted in April, 2014, to identify the cause and to quantify the irradiance and potential ocular impacts of the glare. Results showed that the intense glare viewed from the airspace above ISEGS was caused by heliostats in standby mode that were aimed to the side of the receiver. Evaluation of the glare showed that the retinal irradiance and subtended source angle of the glare from the heliostats in standby were sufficient to cause significant ocular impact (potential for after-image) up to a distance of ~6 miles (10 km), but the values were below the threshold for permanent eye damage. Glare from the receivers had a low potential for after-image at all ground-based monitoring locations outside of the site boundaries. A Letter to Airmen has been issued by the Federal Aviation Administration to notify pilots of the potential glare hazards. Additional measures to mitigate the potential impacts of glare from ISGES are also presented and discussed.

  14. Evaluation of glare at the Ivanpah Solar Electric Generating System

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

    Ho, C. K.; Sims, C. A.; Christian, J. M.

    2015-06-05

    The Ivanpah Solar Electric Generating System (ISEGS), located on I-15 about 40 miles (60 km) south of Las Vegas, NV, consists of three power towers 459 ft (140 m) tall and over 170,000 reflective heliostats with a rated capacity of 390 MW. In addition, reports of glare from the plant have been submitted by pilots and air traffic controllers and recorded by the Aviation Safety Reporting System and the California Energy Commission since 2013. Aerial and ground-based surveys of the glare were conducted in April, 2014, to identify the cause and to quantify the irradiance and potential ocular impacts ofmore » the glare. Results showed that the intense glare viewed from the airspace above ISEGS was caused by heliostats in standby mode that were aimed to the side of the receiver. Evaluation of the glare showed that the retinal irradiance and subtended source angle of the glare from the heliostats in standby were sufficient to cause significant ocular impact (potential for after-image) up to a distance of ~6 miles (10 km), but the values were below the threshold for permanent eye damage. Glare from the receivers had a low potential for after-image at all ground-based monitoring locations outside of the site boundaries. A Letter to Airmen has been issued by the Federal Aviation Administration to notify pilots of the potential glare hazards. Additional measures to mitigate the potential impacts of glare from ISGES are also presented and discussed.« less

  15. A systems model and potential leverage points for base load electric generating options

    SciTech Connect (OSTI)

    Brownson, D.A.; Hanson, D.J.; Price, L.G.; Sebo, D.E.

    1993-09-01

    The mission and structure of electric utilities may change significantly to meet the challenges on the next several decades. In addition, providing electrical energy in an environmentally responsible manner will continue to be a major challenge. The methods of supplying electrical power may change dramatically in the future as utilities search for ways to improve the availability and reliability of electrical power systems. The role of large, base load generating capacity to supply the bulk of a utility`s electrical power is evolving, but it will continue to be important for many years to come. The objective of this study is to examine the systems structure of five base load capacity options available to a utility and identify areas where technological improvements could produce significant changes in their systems. These improvements would enhance the likelihood that these options would be selected for providing future electrical capacity. Technology improvements are identified and discussed, but it was beyond the scope of this work to develop strategies for specific Idaho National Engineering Laboratory involvement.

  16. Treatment of Solar Generation in Electric Utility Resource Planning

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

    Treatment of Solar Generation in Electric Utility Resource Planning John Sterling Solar Electric Power Association Joyce McLaren National Renewable Energy Laboratory Mike Taylor Solar Electric Power Association Karlynn Cory National Renewable Energy Laboratory Technical Report NREL/TP-6A20-60047 October 2013 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is

  17. Fact #799: September 30, 2013 Electricity Generation by Source...

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

    Those emissions are dependent upon the source of electricity generation. Although the ... nearly three-fold while the use of petroleum liquids and coke have dwindled to just 0.6%. ...

  18. Maine: Energy Efficiency Program Helps Generate Town's Electricity

    Broader source: Energy.gov [DOE]

    Energy Efficiency program helps municipalities with their energy bills. Thomaston, Maine, was able to install solar panels to generate 13% of the electricity used by the wastewater treatment facility.

  19. Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants

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

    Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants April 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Updated Capital Cost Estimates for Utility Scale Electricity Generating Plants ii 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

  20. DOE Announces Webinars on Next Generation Electric Machines, Zero Energy

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

    Buildings, and More | Department of Energy Next Generation Electric Machines, Zero Energy Buildings, and More DOE Announces Webinars on Next Generation Electric Machines, Zero Energy Buildings, and More March 26, 2015 - 8:44am Addthis EERE offers webinars to the public on a range of subjects, from adopting the latest energy efficiency and renewable energy technologies, to training for the clean energy workforce. Webinars are free; however, advanced registration is typically required. You can

  1. Cost and Quality of Fuels for Electric Plants - Energy Information...

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

    (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of ...

  2. Role of Energy Storage with Renewable Electricity Generation

    SciTech Connect (OSTI)

    Denholm, P.; Ela, E.; Kirby, B.; Milligan, M.

    2010-01-01

    Renewable energy sources, such as wind and solar, have vast potential to reduce dependence on fossil fuels and greenhouse gas emissions in the electric sector. Climate change concerns, state initiatives including renewable portfolio standards, and consumer efforts are resulting in increased deployments of both technologies. Both solar photovoltaics (PV) and wind energy have variable and uncertain (sometimes referred to as intermittent) output, which are unlike the dispatchable sources used for the majority of electricity generation in the United States. The variability of these sources has led to concerns regarding the reliability of an electric grid that derives a large fraction of its energy from these sources as well as the cost of reliably integrating large amounts of variable generation into the electric grid. In this report, we explore the role of energy storage in the electricity grid, focusing on the effects of large-scale deployment of variable renewable sources (primarily wind and solar energy).

  3. Distributed electrical generation technologies and methods for their economic assessment

    SciTech Connect (OSTI)

    Kreider, J.F.; Curtiss, P.S.

    2000-07-01

    A confluence of events in the electrical generation and transmission industry has produced a new paradigm for distributed electrical generation and distribution in the US Electrical deregulation, reluctance of traditional utilities to commit capital to large central plants and transmission lines, and a suite of new, efficient generation hardware have all combined to bring this about. Persistent environmental concerns have further stimulated several new approaches. In this paper the authors describe the near term distributed generation technologies and their differentiating characteristics along with their readiness for the US market. In order to decide which approaches are well suited to a specific project, an assessment methodology is needed. A technically sound approach is therefore described and example results are given.

  4. Power System Modeling of 20percent Wind-Generated Electricity by 2030

    SciTech Connect (OSTI)

    Bolinger, Mark A; Hand, Maureen; Blair, Nate; Bolinger, Mark; Wiser, Ryan; Hern, Tracy; Miller, Bart; O'Connell, R.

    2008-06-09

    The Wind Energy Deployment System model was used to estimate the costs and benefits associated with producing 20% of the nation's electricity from wind technology by 2030. This generation capacity expansion model selects from electricity generation technologies that include pulverized coal plants, combined cycle natural gas plants, combustion turbine natural gas plants, nuclear plants, and wind technology to meet projected demand in future years. Technology cost and performance projections, as well as transmission operation and expansion costs, are assumed. This study demonstrates that producing 20% of the nation's projected electricity demand in 2030 from wind technology is technically feasible, not cost-prohibitive, and provides benefits in the forms of carbon emission reductions, natural gas price reductions, and water savings.

  5. Table N13.2. Electricity: Components of Onsite Generation, 1998

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

    2. Electricity: Components of Onsite Generation, 1998;" " Level: National and Regional ... use of energy." "Cogeneration includes electricity generated from fossil fuels, such as ...

  6. United States Renewable Electric Power Industry Net Summer Capacity, by Energy Source

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

    Renewable Electric Power Industry Net Summer Capacity, by Energy Source, 2006 - 2010" "(Megawatts)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Geothermal",2274,2214,2229,2382,2405 "Hydro Conventional",77821,77885,77930,78518,78825 "Solar",411,502,536,619,941 "Wind",11329,16515,24651,34296,39135 "Wood/Wood Waste",6372,6704,6864,6939,7037 "MSW/Landfill Gas",3166,3536,3644,3645,3690

  7. United States Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Total Electric Power Industry Net Summer Capacity, by Energy Source, 2006 - 2010" "(Megawatts)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",761603,763994,770221,774279,782176 " Coal",312956,312738,313322,314294,316800 " Petroleum",58097,56068,57445,56781,55647 " Natural Gas",388294,392876,397460,401272,407028 " Other Gases",2256,2313,1995,1932,2700

  8. EIS-0476: Vogtle Electric Generating Plant, Units 3 and 4

    Broader source: Energy.gov [DOE]

    This EIS evaluates the environmental impacts of construction and startup of the proposed Units 3 and 4 at the Vogtle Electric Generating Plant in Burke County, Georgia. DOE adopted two Nuclear Regulatory Commission EISs associated with this project (i.e., NUREG-1872, issued 8/2008, and NUREG-1947, issued 3/2011).

  9. Clean coal technologies in electric power generation: a brief overview

    SciTech Connect (OSTI)

    Janos Beer; Karen Obenshain

    2006-07-15

    The paper talks about the future clean coal technologies in electric power generation, including pulverized coal (e.g., advanced supercritical and ultra-supercritical cycles and fluidized-bed combustion), integrated gasification combined cycle (IGCC), and CO{sub 2} capture technologies. 6 refs., 2 tabs.

  10. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

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

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

    SciTech Connect (OSTI)

    Not Available

    2013-01-01

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

  12. Distributed Generation Dispatch Optimization under VariousElectricity Tariffs

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris

    2007-05-01

    The on-site generation of electricity can offer buildingowners and occupiers financial benefits as well as social benefits suchas reduced grid congestion, improved energy efficiency, and reducedgreenhouse gas emissions. Combined heat and power (CHP), or cogeneration,systems make use of the waste heat from the generator for site heatingneeds. Real-time optimal dispatch of CHP systems is difficult todetermine because of complicated electricity tariffs and uncertainty inCHP equipment availability, energy prices, and system loads. Typically,CHP systems use simple heuristic control strategies. This paper describesa method of determining optimal control in real-time and applies it to alight industrial site in San Diego, California, to examine: 1) the addedbenefit of optimal over heuristic controls, 2) the price elasticity ofthe system, and 3) the site-attributable greenhouse gas emissions, allunder three different tariff structures. Results suggest that heuristiccontrols are adequate under the current tariff structure and relativelyhigh electricity prices, capturing 97 percent of the value of thedistributed generation system. Even more value could be captured bysimply not running the CHP system during times of unusually high naturalgas prices. Under hypothetical real-time pricing of electricity,heuristic controls would capture only 70 percent of the value ofdistributed generation.

  13. Chena Hot Springs Resort - Electric Power Generation Using Geothermal Fluid

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

    Coproduced from Oil and/or Gas Wells | Department of Energy Chena Hot Springs Resort project presentation at the 2013 peer review meeting in Colorado. PDF icon chenahotsprings_peerreview2013.pdf More Documents & Publications Electrical Power Generation Using Geothermal Fluid Co-produced from Oil & Gas Low Temperature Geothermal Energy Low Temperature/Coproduced/Geopressured Subprogram Overview

  14. Magnitude and Variability of Controllable Charge Capacity Provided by Grid Connected Plug-in Electric Vehicles

    SciTech Connect (OSTI)

    Scoffield, Don R; Smart, John; Salisbury, Shawn

    2015-03-01

    As market penetration of plug-in electric vehicles (PEV) increases over time, the number of PEVs charging on the electric grid will also increase. As the number of PEVs increases, their ability to collectively impact the grid increases. The idea of a large body of PEVs connected to the grid presents an intriguing possibility. If utilities can control PEV charging, it is possible that PEVs could act as a distributed resource to provide grid services. The technology required to control charging is available for modern PEVs. However, a system for wide-spread implementation of controllable charging, including robust communication between vehicles and utilities, is not currently present. Therefore, the value of controllable charging must be assessed and weighed against the cost of building and operating such as system. In order to grasp the value of PEV charge control to the utility, the following must be understood: 1. The amount of controllable energy and power capacity available to the utility 2. The variability of the controllable capacity from day to day and as the number of PEVs in the market increases.

  15. Renewable Electricity Futures Study. Volume 2: Renewable Electricity Generation and Storage Technologies

    SciTech Connect (OSTI)

    Augustine, C.; Bain, R.; Chapman, J.; Denholm, P.; Drury, E.; Hall, D.G.; Lantz, E.; Margolis, R.; Thresher, R.; Sandor, D.; Bishop, N.A.; Brown, S.R.; Cada, G.F.; Felker, F.

    2012-06-01

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  16. Renewable Electricity Futures Study. Volume 2. Renewable Electricity Generation and Storage Technologies

    SciTech Connect (OSTI)

    Augustine, Chad; Bain, Richard; Chapman, Jamie; Denholm, Paul; Drury, Easan; Hall, Douglas G.; Lantz, Eric; Margolis, Robert; Thresher, Robert; Sandor, Debra; Bishop, Norman A.; Brown, Stephen R.; Felker, Fort; Fernandez, Steven J.; Goodrich, Alan C.; Hagerman, George; Heath, Garvin; O'Neil, Sean; Paquette, Joshua; Tegen, Suzanne; Young, Katherine

    2012-06-15

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%–90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

  17. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

    Broader source: Energy.gov [DOE]

    From 2002 to 2012, most states have reduced their reliance on coal for electricity generation. The figure below shows the percent change in electricity generated by coal and natural gas for each...

  18. Table 8.11c Electric Net Summer Capacity: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.11b; Kilowatts)

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

    c Electric Net Summer Capacity: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.11b; Kilowatts) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage Renewable Energy Other 8 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power Biomass Geo- thermal Solar/PV 7 Wind Total Wood 5 Waste 6 Electricity-Only Plants 9<//td> 1989 296,541,828 77,966,348 119,304,288 364,000 494,176,464 98,160,610 18,094,424 73,579,794

  19. Fact #844: October 27, 2014 Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #844: Electricity Generated from Coal has Declined while Generation from Natural Gas has Grown

  20. Electricity generation and environmental externalities: Case studies, September 1995

    SciTech Connect (OSTI)

    1995-09-28

    Electricity constitutes a critical input in sustaining the Nation`s economic growth and development and the well-being of its inhabitants. However, there are byproducts of electricity production that have an undesirable effect on the environment. Most of these are emissions introduced by the combustion of fossil fuels, which accounts for nearly 70 percent of the total electricity generated in the United States. The environmental impacts (or damages) caused by these emissions are labeled environmental ``externalities.`` Included in the generic term ``externality`` are benefits or costs resulting as an unintended byproduct of an economic activity that accrue to someone other than the parties involved in the activity. This report provides an overview of the economic foundation of externalities, the Federal and State regulatory approaches, and case studies of the impacts of the externality policies adopted by three States.

  1. Evaluation and Ranking of Geothermal Resources for Electrical Generation or Electrical Offset in Idaho, Montana, Oregon and Washington. Volume II.

    SciTech Connect (OSTI)

    Bloomquist, R. Gordon

    1985-06-01

    This volume contains appendices on: (1) resource assessment - electrical generation computer results; (2) resource assessment summary - direct use computer results; (3) electrical generation (high temperature) resource assessment computer program listing; (4) direct utilization (low temperature) resource assessment computer program listing; (5) electrical generation computer program CENTPLANT and related documentation; (6) electrical generation computer program WELLHEAD and related documentation; (7) direct utilization computer program HEATPLAN and related documentation; (8) electrical generation ranking computer program GEORANK and related documentation; (9) direct utilization ranking computer program GEORANK and related documentation; and (10) life cycle cost analysis computer program and related documentation. (ACR)

  2. Monthly/Annual Energy Review - electricity section

    Reports and Publications (EIA)

    2015-01-01

    Monthly and latest annual statistics on electricity generation, capacity, end-use, fuel use and stocks, and retail price.

  3. Monthly/Annual Energy Review - electricity section

    Reports and Publications (EIA)

    2016-01-01

    Monthly and latest annual statistics on electricity generation, capacity, end-use, fuel use and stocks, and retail price.

  4. Microgrids in the Evolving Electricity Generation and DeliveryInfrastructure

    SciTech Connect (OSTI)

    Marnay, Chris; Venkataramanan, Giri

    2006-02-01

    The legacy paradigm for electricity service in most of the electrified world today is based on the centralized generation-transmission-distribution infrastructure that evolved under a regulated environment. More recently, a quest for effective economic investments, responsive markets, and sensitivity to the availability of resources, has led to various degrees of deregulation and unbundling of services. In this context, a new paradigm is emerging wherein electricity generation is intimately embedded with the load in microgrids. Development and decay of the familiar macrogrid is discussed. Three salient features of microgrids are examined to suggest that cohabitation of micro and macro grids is desirable, and that overall energy efficiency can be increased, while power is delivered to loads at appropriate levels of quality.

  5. Cost and Performance Assumptions for Modeling Electricity Generation Technologies

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

    Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia Subcontract Report NREL/SR-6A20-48595 November 2010 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 *

  6. BUILDOUT AND UPGRADE OF CENTRAL EMERGENCY GENERATOR SYSTEM, GENERATOR 3 AND 4 ELECTRICAL INSTALLATION

    SciTech Connect (OSTI)

    Gary D. Seifert; G. Shawn West; Kurt S. Myers; Jim Moncur

    2006-07-01

    SECTION 01000—SUMMARY OF WORK PART 1—GENERAL 1.1 SUMMARY The work to be performed under this project consists of providing the labor, equipment, and materials to perform "Buildout and Upgrade of Central Emergency Generator System, Generator 3 and 4 Electrical Installation" for the National Aeronautics and Space Administration at the Dryden Flight Research Center (NASA/DFRC), Edwards, California 93523. All modifications to existing substations and electrical distribution systems are the responsibility of the contractor. It is the contractor’s responsibility to supply a complete and functionally operational system. The work shall be performed in accordance with these specifications and the related drawings. The work of this project is defined by the plans and specifications contained and referenced herein. This work specifically includes but is not limited to the following: Scope of Work - Installation 1. Install all electrical wiring and controls for new generators 3 and 4 to match existing electrical installation for generators 1 and 2 and in accordance with drawings. Contractor shall provide as-built details for electrical installation. 2. Install battery charger systems for new generators 3 and 4 to match existing battery charging equipment and installation for generators 1 and 2. This may require exchange of some battery charger parts already on-hand. Supply power to new battery chargers from panel and breakers as shown on drawings. Utilize existing conduits already routed to generators 3 and 4 to field route the new wiring in the most reasonable way possible. 3. Install electrical wiring for fuel/lube systems for new generators 3 and 4 to match existing installation for generators 1 and 2. Supply power to lube oil heaters and fuel system (day tanks) from panel and breakers as shown on drawings. Utilize existing conduits already routed to generators 3 and 4 to field route the new wiring in the most reasonable way possible. Add any conduits necessary to complete wiring to fuel systems. 4. Install power to new dampers/louvers from panel and breakers as shown on drawings. Wiring shall be similar to installation to existing dampers/louvers. Utilize existing conduits already routed to louver areas to field route the new wiring in the most reasonable way possible. Add any conduits necessary to complete wiring to new dampers/louvers. 5. Install power to jacket water heaters for new generators 3 and 4 from panel and breakers as shown on drawings. Utilize existing conduits already routed to generators 3 and 4 to field route the new wiring in the most reasonable way possible. 6. Install new neutral grounding resistor and associated parts and wiring for new generators 3 and 4 to match existing installation for generators 1 and 2. Grounding resistors will be Government Furnished Equipment (GFE). 7. Install two new switchgear sections, one for generator #3 and one for generator #4, to match existing generator #1 cubicle design and installation and in accordance with drawings and existing parts lists. This switchgear will be provided as GFE. 8. Ground all new switchgear, generators 3 and 4, and any other new equipment to match existing grounding connections for generators 1 and 2, switchgear and other equipment. See drawings for additional details. Grounding grid is already existing. Ensure that all grounding meets National Electrical Code requirements. 9. Cummins DMC control for the generator and switchgear syste

  7. Potential Impacts of Plug-in Hybrid Electric Vehicles on Regional Power Generation

    SciTech Connect (OSTI)

    Hadley, Stanton W; Tsvetkova, Alexandra A

    2008-01-01

    Plug-in hybrid electric vehicles (PHEVs) are being developed around the world, with much work aiming to optimize engine and battery for efficient operation, both during discharge and when grid electricity is available for recharging. However, the general expectation has been that the grid will not be greatly affected by the use of PHEVs because the recharging will occur during off-peak hours, or the number of vehicles will grow slowly enough so that capacity planning will respond adequately. This expectation does not consider that drivers will control the timing of recharging, and their inclination will be to plug in when convenient, rather than when utilities would prefer. It is important to understand the ramifications of adding load from PHEVs onto the grid. Depending on when and where the vehicles are plugged in, they could cause local or regional constraints on the grid. They could require the addition of new electric capacity and increase the utilization of existing capacity. Usage patterns of local distribution grids will change, and some lines or substations may become overloaded sooner than expected. Furthermore, the type of generation used to meet the demand for recharging PHEVs will depend on the region of the country and the timing of recharging. This paper analyzes the potential impacts of PHEVs on electricity demand, supply, generation structure, prices, and associated emission levels in 2020 and 2030 in 13 regions specified by the North American Electric Reliability Corporation (NERC) and the U.S. Department of Energy's (DOE's) Energy Information Administration (EIA), and on which the data and analysis in EIA's Annual Energy Outlook 2007 are based (Figure ES-1). The estimates of power plant supplies and regional hourly electricity demand come from publicly available sources from EIA and the Federal Energy Regulatory Commission. Electricity requirements for PHEVs are based on analysis from the Electric Power Research Institute, with an optimistic projection of 25% market penetration by 2020, involving a mixture of sedans and sport utility vehicles. The calculations were done using the Oak Ridge Competitive Electricity Dispatch (ORCED) model, a model developed over the past 12 years to evaluate a wide variety of critical electricity sector issues. Seven scenarios were run for each region for 2020 and 2030, for a total of 182 scenarios. In addition to a base scenario of no PHEVs, the authors modeled scenarios assuming that vehicles were either plugged in starting at 5:00 p.m. (evening) or at 10:00 p.m.(night) and left until fully charged. Three charging rates were examined: 120V/15A (1.4 kW), 120V/20A (2 kW), and 220V/30A (6 kW). Most regions will need to build additional capacity or utilize demand response to meet the added demand from PHEVs in the evening charging scenarios, especially by 2030 when PHEVs have a larger share of the installed vehicle base and make a larger demand on the system. The added demands of evening charging, especially at high power levels, can impact the overall demand peaks and reduce the reserve margins for a region's system. Night recharging has little potential to influence peak loads, but will still influence the amount and type of generation.

  8. Table 8.11b Electric Net Summer Capacity: Electric Power Sector, 1949-2011 (Subset of Table 8.11a; Kilowatts)

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

    b Electric Net Summer Capacity: Electric Power Sector, 1949-2011 (Subset of Table 8.11a; Kilowatts) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage Renewable Energy Other 9 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 5 Biomass Geo- thermal Solar/PV 8 Wind Total Wood 6 Waste 7 1949 NA NA NA NA 44,887,000 0 [5] 18,500,000 13,000 [10] NA NA NA 18,513,000 NA 63,400,000 1950 NA NA NA NA 49,987,000 0 [5] 19,200,000 13,000 [10] NA

  9. Recovery Act: Johnston Rhode Island Combined Cycle Electric Generating Plant Fueled by Waste Landfill Gas

    SciTech Connect (OSTI)

    Galowitz, Stephen

    2013-06-30

    The primary objective of the Project was to maximize the productive use of the substantial quantities of waste landfill gas generated and collected at the Central Landfill in Johnston, Rhode Island. An extensive analysis was conducted and it was determined that utilization of the waste gas for power generation in a combustion turbine combined cycle facility was the highest and best use. The resulting project reflected a cost effective balance of the following specific sub-objectives. 1) Meet environmental and regulatory requirements, particularly the compliance obligations imposed on the landfill to collect, process and destroy landfill gas. 2) Utilize proven and reliable technology and equipment. 3) Maximize electrical efficiency. 4) Maximize electric generating capacity, consistent with the anticipated quantities of landfill gas generated and collected at the Central Landfill. 5) Maximize equipment uptime. 6) Minimize water consumption. 7) Minimize post-combustion emissions. To achieve the Project Objective the project consisted of several components. 1) The landfill gas collection system was modified and upgraded. 2) A State-of-the Art gas clean up and compression facility was constructed. 3) A high pressure pipeline was constructed to convey cleaned landfill gas from the clean-up and compression facility to the power plant. 4) A combined cycle electric generating facility was constructed consisting of combustion turbine generator sets, heat recovery steam generators and a steam turbine. 5) The voltage of the electricity produced was increased at a newly constructed transformer/substation and the electricity was delivered to the local transmission system. The Project produced a myriad of beneficial impacts. 1) The Project created 453 FTE construction and manufacturing jobs and 25 FTE permanent jobs associated with the operation and maintenance of the plant and equipment. 2) By combining state-of-the-art gas clean up systems with post combustion emissions control systems, the Project established new national standards for best available control technology (BACT). 3) The Project will annually produce 365,292 MWh�s of clean energy. 4) By destroying the methane in the landfill gas, the Project will generate CO{sub 2} equivalent reductions of 164,938 tons annually. The completed facility produces 28.3 MWnet and operates 24 hours a day, seven days a week.

  10. The Role of Energy Storage with Renewable Electricity Generation

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

    7187 January 2010 The Role of Energy Storage with Renewable Electricity Generation Paul Denholm, Erik Ela, Brendan Kirby, and Michael Milligan National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-47187 January

  11. Electrical motor/generator drive apparatus and method

    DOE Patents [OSTI]

    Su, Gui Jia

    2013-02-12

    The present disclosure includes electrical motor/generator drive systems and methods that significantly reduce inverter direct-current (DC) bus ripple currents and thus the volume and cost of a capacitor. The drive methodology is based on a segmented drive system that does not add switches or passive components but involves reconfiguring inverter switches and motor stator winding connections in a way that allows the formation of multiple, independent drive units and the use of simple alternated switching and optimized Pulse Width Modulation (PWM) schemes to eliminate or significantly reduce the capacitor ripple current.

  12. EERE FY 2016 Budget Overview -- Renewable Electricity Generation

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

    Doug Hollett, Deputy Assistant Secretary March, 2015 Office of Energy Efficiency and Renewable Energy FY 2016 Budget Overview 2 Major Administration Energy Goals * Reduce GHG emissions by 17% by 2020, 26-28% by 2025 and 83% by 2050 from 2005 baseline * By 2035, generate 80% of electricity from a diverse set of clean energy resources * Double energy productivity by 2030 * Reduce net oil imports by half by 2020 from a 2008 baseline * Reduce CO 2 emissions by 3 billion metric tons cumulatively by

  13. Electric Power Generation from Co-Produced and Other Oil Field...

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

    Electric Power Generation from Co-Produced and Other Oil Field Fluids Electric Power Generation from Co-Produced and Other Oil Field Fluids Co-produced and low-temperature ...

  14. Submerged electricity generation plane with marine current-driven motors

    DOE Patents [OSTI]

    Dehlsen, James G.P.; Dehlsen, James B.; Fleming, Alexander

    2014-07-01

    An underwater apparatus for generating electric power from ocean currents and deep water tides. A submersible platform including two or more power pods, each having a rotor with fixed-pitch blades, with drivetrains housed in pressure vessels that are connected by a transverse structure providing buoyancy, which can be a wing depressor, hydrofoil, truss, or faired tube. The platform is connected to anchors on the seafloor by forward mooring lines and a vertical mooring line that restricts the depth of the device in the water column. The platform operates using passive, rather than active, depth control. The wing depressor, along with rotor drag loads, ensures the platform seeks the desired operational current velocity. The rotors are directly coupled to a hydraulic pump that drives at least one constant-speed hydraulic-motor generator set and enables hydraulic braking. A fluidic bearing decouples non-torque rotor loads to the main shaft driving the hydraulic pumps.

  15. Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies

    SciTech Connect (OSTI)

    Macknick, J.; Newmark, R.; Heath, G.; Hallett, K. C.

    2011-03-01

    Various studies have attempted to consolidate published estimates of water use impacts of electricity generating technologies, resulting in a wide range of technologies and values based on different primary sources of literature. The goal of this work is to consolidate the various primary literature estimates of water use during the generation of electricity by conventional and renewable electricity generating technologies in the United States to more completely convey the variability and uncertainty associated with water use in electricity generating technologies.

  16. EIS-0476: Vogtle Electric Generating Plant in Burke County, GA | Department

    Energy Savers [EERE]

    of Energy 6: Vogtle Electric Generating Plant in Burke County, GA EIS-0476: Vogtle Electric Generating Plant in Burke County, GA February 8, 2012 EIS-0476: Final Environmental Impact Statement Department of Energy Loan Guarantees for Proposed Units 3 and 4 at the Vogtle Electric Generating Plant, Burke County, GA February 25, 2014 EIS-0476: Record of Decision Department of Energy Loan Guarantees for Proposed Units 3 and 4 at the Vogtle Electric Generating Plant, Burke County, GA

  17. Electricity Monthly Update - Energy Information Administration

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

    Electricity Glossary › FAQS › Overview Data Electricity Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Revenue and expense statistics for...

  18. Electric Power Generation from Low to Intermediate Temperature Resources

    SciTech Connect (OSTI)

    Gosnold, William D.

    2015-06-18

    This project was designed to test the concept on the Eland-Lodgepole Field near Dickinson, North Dakota in the Williston Basin. The field is in secondary-recovery water-flood and consists of 12 producing oil wells, 5 water injection wells and one disposal well. Water production at the site averages approximately 320 gallons per minute (20.2 l s-1) and the temperature is 100 ⁰C. Engineers at Ormat estimated power production potential with the existing resource to be approximately 350 kWh. Unfortunately, ownership of the field was transferred from Encore, Inc., to Denbury, Inc., within the first week of the project. After two years of discussion and planning, Denbury decided not to pursue this project due to complications with the site location and its proximity to Patterson Lake. Attempts to find other partners operating in the Williston Basin were unsuccessful. Consequently, we were unable to pursue the primary objective of the project. However, during negations with Denbury and subsequent time spent contacting other potential partners, we focused on objectives 2 and 3 and developed a clear understanding of the potential for co-produced production in the Williston Basin and the best practices for developing similar projects. At least nine water bearing formations with temperatures greater than 90 ⁰C extend over areas of several 10s of km2. The total energy contained in the rock volume of those geothermal aquifers is 283.6 EJ (1 EJ = 1018 J). The total energy contained in the water volume, determined from porosities which range from 2 percent to 8 percent, is 6.8 EJ. The aquifers grouped by 10 ⁰C temperature bins (Table 1) include one or more formations due to the bowl-shape structure of the basin. Table 1. Summary of energy available in geothermal aquifers in the Williston Basin Analysis of overall fluid production from active wells, units, fields and formations in North Dakota showed that few sites co-produce sufficient fluid for significant power production with ORC technology. Average co-produced water for 10,480 wells is 3.2 gallons per minute (gpm). Even excluding the tight formations, Bakken and Three Forks, average co-produced water for the remaining 3,337 is only 5 gpm. The output of the highest producing well is 184 gpm and the average of the top 100 wells is 52 gpm. Due to the depth of the oil producing formations in the Williston Basin, typically 3 km or greater, pumps are operated slowly to prevent watering out thus total fluid production is purposefully maintained at low volumes. There remain potential possibilities for development of geothermal fluids in the Williston Basin. Unitized fields in which water production from several tens of wells is collected at a single site are good possibilities for development. Water production in the unitized fields is greater than 1000 gpm is several areas. A similar possibility occurs where infill-drilling between Bakken and Three Forks horizontal wells has created areas where large volumes of geothermal fluids are available on multi-well pads and in unitized fields. Although the Bakken produces small amounts of water, the water/oil ration is typically less than 1, the oil and water mix produced at the well head can be sent through the heat exchanger on an ORC. It is estimated that several tens of MWh of power could be generated by a distributed system of ORC engines in the areas of high-density drilling in the Bakken Formation. Finally, horizontal drilling in water bearing formations is the other possibility. Several secondary recovery water-flood projects in the basin are producing water above 100 ⁰C at rates of 300 gpm to 850 gpm. Those systems also could produce several tens of MWh of power with ORC technology. Objective 3 of the project was highly successful. The program has produced 5 PhDs, 7 MS, and 3 BS students with theses in geothermal energy. The team has involved 7 faculty in 4 different engineering and science disciplines, ChE, EE, GE, and Geol. The team has produced 26 peer-reviewed papers and 62 presentations at professional meetings. Faculty involved in the program developed five graduate level courses covering different elements in heat flow and geothermal energy that are now offered in the Harold Hamm School of Geology and Geological Engineering. Lessons learned – Keys to developing a successful project;1. Determine target formations; a. Data from oil and gas operators, state oil and gas regulatory agencies, and state geological surveys help to identify producing formations and their properties; 2. Determine the quantity of energy available in the target formations; a. A complete thermal analysis of the basin or region yields the most useful information; b. Critical data include: BHT, heat flow, stratigraphy, lithology, lithological properties, and thermal conductivity, subsurface structure; 3. Determine fluid production potential; a. State oil and gas regulatory agencies, and state geological surveys have data on oil, gas and water production. State Water Commission/Agencies have data on water quality, aquifers, and regulations; b. Consider single horizontal wells, multiple conventional wells, and unitized fields; 4. Calculate energy production capacity of each formation based on different well combination and power plant scenarios. This is a broad overview rather than a site specific analysis; 5. Research and understand the local electrical power industry. Obtain the PPA before committing to the project; 6. Work with the high-level personnel in the oil company partner. Obtain an MOU that addresses all issues in the project including what to expect if the company goes out of business, is bought out, changes management, etc; and 7. Be prepared for project delays.

  19. Computational Needs for the Next Generation Electric Grid Proceedings

    SciTech Connect (OSTI)

    Birman, Kenneth; Ganesh, Lakshmi; Renessee, Robbert van; Ferris, Michael; Hofmann, Andreas; Williams, Brian; Sztipanovits, Janos; Hemingway, Graham; University, Vanderbilt; Bose, Anjan; Stivastava, Anurag; Grijalva, Santiago; Grijalva, Santiago; Ryan, Sarah M.; McCalley, James D.; Woodruff, David L.; Xiong, Jinjun; Acar, Emrah; Agrawal, Bhavna; Conn, Andrew R.; Ditlow, Gary; Feldmann, Peter; Finkler, Ulrich; Gaucher, Brian; Gupta, Anshul; Heng, Fook-Luen; Kalagnanam, Jayant R; Koc, Ali; Kung, David; Phan, Dung; Singhee, Amith; Smith, Basil

    2011-10-05

    The April 2011 DOE workshop, 'Computational Needs for the Next Generation Electric Grid', was the culmination of a year-long process to bring together some of the Nation's leading researchers and experts to identify computational challenges associated with the operation and planning of the electric power system. The attached papers provide a journey into these experts' insights, highlighting a class of mathematical and computational problems relevant for potential power systems research. While each paper defines a specific problem area, there were several recurrent themes. First, the breadth and depth of power system data has expanded tremendously over the past decade. This provides the potential for new control approaches and operator tools that can enhance system efficiencies and improve reliability. However, the large volume of data poses its own challenges, and could benefit from application of advances in computer networking and architecture, as well as data base structures. Second, the computational complexity of the underlying system problems is growing. Transmitting electricity from clean, domestic energy resources in remote regions to urban consumers, for example, requires broader, regional planning over multi-decade time horizons. Yet, it may also mean operational focus on local solutions and shorter timescales, as reactive power and system dynamics (including fast switching and controls) play an increasingly critical role in achieving stability and ultimately reliability. The expected growth in reliance on variable renewable sources of electricity generation places an exclamation point on both of these observations, and highlights the need for new focus in areas such as stochastic optimization to accommodate the increased uncertainty that is occurring in both planning and operations. Application of research advances in algorithms (especially related to optimization techniques and uncertainty quantification) could accelerate power system software tool performance, i.e. speed to solution, and enhance applicability for new and existing real-time operation and control approaches, as well as large-scale planning analysis. Finally, models are becoming increasingly essential for improved decision-making across the electric system, from resource forecasting to adaptive real-time controls to online dynamics analysis. The importance of data is thus reinforced by their inescapable role in validating, high-fidelity models that lead to deeper system understanding. Traditional boundaries (reflecting geographic, institutional, and market differences) are becoming blurred, and thus, it is increasingly important to address these seams in model formulation and utilization to ensure accuracy in the results and achieve predictability necessary for reliable operations. Each paper also embodies the philosophy that our energy challenges require interdisciplinary solutions - drawing on the latest developments in fields such as mathematics, computation, economics, as well as power systems. In this vein, the workshop should be viewed not as the end product, but the beginning of what DOE seeks to establish as a vibrant, on-going dialogue among these various communities. Bridging communication gaps among these communities will yield opportunities for innovation and advancement. The papers and workshop discussion provide the opportunity to learn from experts on the current state-of-the-art on computational approaches for electric power systems, and where one may focus to accelerate progress. It has been extremely valuable to me as I better understand this space, and consider future programmatic activities. I am confident that you too will enjoy the discussion, and certainly learn from the many experts. I would like to thank the authors of the papers for sharing their perspectives, as well as the paper discussants, session recorders, and participants. The meeting would not have been as successful without your commitment and engagement. I also would like to thank Joe Eto and Bob Thomas for their vision and leadership in bringing together such a well-structured and productive forum.

  20. Electrical Generation for More-Electric Aircraft Using Solid Oxide Fuel Cells

    SciTech Connect (OSTI)

    Whyatt, Greg A.; Chick, Lawrence A.

    2012-04-01

    This report examines the potential for Solid-Oxide Fuel Cells (SOFC) to provide electrical generation on-board commercial aircraft. Unlike a turbine-based auxiliary power unit (APU) a solid oxide fuel cell power unit (SOFCPU) would be more efficient than using the main engine generators to generate electricity and would operate continuously during flight. The focus of this study is on more-electric aircraft which minimize bleed air extraction from the engines and instead use electrical power obtained from generators driven by the main engines to satisfy all major loads. The increased electrical generation increases the potential fuel savings obtainable through more efficient electrical generation using a SOFCPU. However, the weight added to the aircraft by the SOFCPU impacts the main engine fuel consumption which reduces the potential fuel savings. To investigate these relationships the Boeing 787­8 was used as a case study. The potential performance of the SOFCPU was determined by coupling flowsheet modeling using ChemCAD software with a stack performance algorithm. For a given stack operating condition (cell voltage, anode utilization, stack pressure, target cell exit temperature), ChemCAD software was used to determine the cathode air rate to provide stack thermal balance, the heat exchanger duties, the gross power output for a given fuel rate, the parasitic power for the anode recycle blower and net power obtained from (or required by) the compressor/expander. The SOFC is based on the Gen4 Delphi planar SOFC with assumed modifications to tailor it to this application. The size of the stack needed to satisfy the specified condition was assessed using an empirically-based algorithm. The algorithm predicts stack power density based on the pressure, inlet temperature, cell voltage and anode and cathode inlet flows and compositions. The algorithm was developed by enhancing a model for a well-established material set operating at atmospheric pressure to reflect the effect of elevated pressure and to represent the expected enhancement obtained using a promising cell material set which has been tested in button cells but not yet used to produce full-scale stacks. The predictions for the effect of pressure on stack performance were based on literature. As part of this study, additional data were obtained on button cells at elevated pressure to confirm the validity of the predictions. The impact of adding weight to the 787-8 fuel consumption was determined as a function of flight distance using a PianoX model. A conceptual design for a SOFC power system for the Boeing 787 is developed and the weight estimated. The results indicate that the power density of the stacks must increase by at least a factor of 2 to begin saving fuel on the 787 aircraft. However, the conceptual design of the power system may still be useful for other applications which are less weight sensitive.

  1. Recovery Act: Brea California Combined Cycle Electric Generating Plant Fueled by Waste Landfill Gas

    SciTech Connect (OSTI)

    Galowitz, Stephen

    2012-12-31

    The primary objective of the Project was to maximize the productive use of the substantial quantities of waste landfill gas generated and collected at the Olinda Landfill near Brea, California. An extensive analysis was conducted and it was determined that utilization of the waste gas for power generation in a combustion turbine combined cycle facility was the highest and best use. The resulting Project reflected a cost effective balance of the following specific sub-objectives: • Meeting the environmental and regulatory requirements, particularly the compliance obligations imposed on the landfill to collect, process and destroy landfill gas • Utilizing proven and reliable technology and equipment • Maximizing electrical efficiency • Maximizing electric generating capacity, consistent with the anticipated quantities of landfill gas generated and collected at the Olinda Landfill • Maximizing equipment uptime • Minimizing water consumption • Minimizing post-combustion emissions • The Project produced and will produce a myriad of beneficial impacts. o The Project created 360 FTE construction and manufacturing jobs and 15 FTE permanent jobs associated with the operation and maintenance of the plant and equipment. o By combining state-of-the-art gas clean up systems with post combustion emissions control systems, the Project established new national standards for best available control technology (BACT). o The Project will annually produce 280,320 MWh’s of clean energy o By destroying the methane in the landfill gas, the Project will generate CO2 equivalent reductions of 164,938 tons annually. The completed facility produces 27.4 MWnet and operates 24 hours a day, seven days a week.

  2. AMO FOA Targets Advanced Components for Next-Generation Electric Machines |

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

    Department of Energy FOA Targets Advanced Components for Next-Generation Electric Machines AMO FOA Targets Advanced Components for Next-Generation Electric Machines March 19, 2015 - 10:21am Addthis AMO's Next Generation Electric Machines (NGEM) program announced up to $20 million is now available to develop a new generation of energy efficient, high power density, high speed integrated MV drive systems for a wide variety of critical energy applications. This Financial Opportunity

  3. EIA's Energy in Brief: How much U.S. electricity is generated from

    Gasoline and Diesel Fuel Update (EIA)

    renewable energy? much U.S. electricity is generated from renewable energy? Last Updated: May 5, 2016 U.S. power plants used renewable energy sources, including water, wind, biomass wood and waste, geothermal, and solar, to generate about 13% of the electricity produced in the United States during 2015. Sources of Renewable Electricity Generation, 2013; chart shaped like an outlet. Renewables are 13% of generation. Renewable breakout: hydropower, 52%; wind, 32%; biomass wood, 8%; biomass

  4. Treatment of Solar Generation in Electric Utility Resource Planning

    SciTech Connect (OSTI)

    Sterling, J.; McLaren, J.; Taylor, M.; Cory, K.

    2013-10-01

    Today's utility planners have a different market and economic context than their predecessors, including planning for the growth of renewable energy. State and federal support policies, solar photovoltaic (PV) price declines, and the introduction of new business models for solar PV 'ownership' are leading to increasing interest in solar technologies (especially PV); however, solar introduces myriad new variables into the utility resource planning decision. Most, but not all, utility planners have less experience analyzing solar than conventional generation as part of capacity planning, portfolio evaluation, and resource procurement decisions. To begin to build this knowledge, utility staff expressed interest in one effort: utility exchanges regarding data, methods, challenges, and solutions for incorporating solar in the planning process. Through interviews and a questionnaire, this report aims to begin this exchange of information and capture utility-provided information about: 1) how various utilities approach long-range resource planning; 2) methods and tools utilities use to conduct resource planning; and, 3) how solar technologies are considered in the resource planning process.

  5. Electric power generation expansion and integration, Micronesia (Yap, Kosrae, Pohnpei, Chuuk) power plants project. Export trade information

    SciTech Connect (OSTI)

    Not Available

    1990-12-01

    The State of Yap in the Federated States of Micronesia is now entirely dependent on oil for electric power generation. The present high costs and limited capacity for electric power generation are major disincentives to the economic development of Yap. Preliminary proposals from two U.S. companies regarding waste-to-energy plants might furnish electricity to Yap below present costs. Yap and its sister state of Kosrae have agreed to jointly seek a grant from the U.S. Trade and Development Program (TDP) to cover three areas: An assessment of projected power generating requirements; A review of generating alternatives with emphasis on waste to energy generation; and An environmental analysis of the waste to energy alternatives. The government in Yap has two objectives: reduce the amount of money spent for diesel fuel now and in the future and make sufficient electricity available at a reasonable price to attract development for the economy of Yap. Officials on both Pohnpei and Kosrae echoed these objectives.

  6. Guide to Purchasing Green Power: Renewable Electricity, Renewable Energy Certificates, and On-Site Renewable Generation

    Broader source: Energy.gov [DOE]

    Document describes renewable electricity, renewable energy certificates, and on-site renewable generation, which agencies and organizations can consider to diversify their energy supply and reduce the environmental impact of their electricity use.

  7. Analysis of Large- Capacity Water Heaters in Electric Thermal Storage Programs

    SciTech Connect (OSTI)

    Cooke, Alan L.; Anderson, David M.; Winiarski, David W.; Carmichael, Robert T.; Mayhorn, Ebony T.; Fisher, Andrew R.

    2015-03-17

    This report documents a national impact analysis of large tank heat pump water heaters (HPWH) in electric thermal storage (ETS) programs and conveys the findings related to concerns raised by utilities regarding the ability of large-tank heat pump water heaters to provide electric thermal storage services.

  8. Comparative health and safety assessment of alternative future electrical-generation systems

    SciTech Connect (OSTI)

    Habegger, L.J.; Gasper, J.R.; Brown, C.D.

    1980-01-01

    The report is an analysis of health and safety risks of seven alternative electrical generation systems, all of which have potential for commercial availability in the post-2000 timeframe. The systems are compared on the basis of expected public and occupational deaths and lost workdays per year associated with 1000 MWe average unit generation. Risks and their uncertainties are estimated for all phases of the energy production cycle, including fuel and raw material extraction and processing, direct and indirect component manufacture, on-site construction, and system operation and maintenance. Also discussed is the potential significance of related major health and safety issues that remain largely unquantifiable. The technologies include: the SPS; a low-Btu coal gasification system with an open-cycle gas turbine combined with a steam topping cycle (CG/CC); a light water fission reactor system without fuel reprocessing (LWR); a liquid metal fast breeder fission reactor system (LMFBR); a central station terrestrial photovoltaic system (CTPV); and a first generation fusion system with magnetic confinement. For comparison with the baseload technologies, risk from a decentralized roof-top photovoltaic system with 6 kWe peak capacity and battery storage (DTPV) was also evaluated.

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

    Buildings Energy Data Book [EERE]

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

  10. Method of generating electricity using an endothermic coal gasifier and MHD generator

    DOE Patents [OSTI]

    Marchant, David D.; Lytle, John M.

    1982-01-01

    A system and method of generating electrical power wherein a mixture of carbonaceous material and water is heated to initiate and sustain the endothermic reaction of carbon and water thereby providing a gasified stream containing carbon monoxide, hydrogen and nitrogen and waste streams of hydrogen sulfide and ash. The gasified stream and an ionizing seed material and pressurized air from a preheater go to a burner for producing ionized combustion gases having a temperature of about 5000.degree. to about 6000.degree. F. which are accelerated to a velocity of about 1000 meters per second and passed through an MHD generator to generate DC power and thereafter through a diffuser to reduce the velocity. The gases from the diffuser go to an afterburner and from there in heat exchange relationship with the gasifier to provide heat to sustain the endothermic reaction of carbon and water and with the preheater to preheat the air prior to combustion with the gasified stream. Energy from the afterburner can also be used to energize other parts of the system.

  11. Electricity - U.S. Energy Information Administration (EIA)

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

    Electricity Glossary › FAQS › Overview Data Electricity Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Revenue and expense statistics for...

  12. Electric Power Annual 2014 - U.S. Energy Information Administration

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

    Electricity Glossary › FAQS › Overview Data Electricity Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Revenue and expense statistics for...

  13. Electric Sales, Revenue, and Average Price 2011 - Energy Information

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

    Administration Electricity Glossary › FAQS › Overview Data Electricity Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Electric power plants generating capacity Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Revenue and

  14. Table 5. Electric power industry generation by primary energy...

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

    Rhode Island" "megawatthours" "Total electric industry", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, ...

  15. Table 5. Electric power industry generation by primary energy...

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

    California" "megawatthours" "Total electric industry", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, ...

  16. Table 5. Electric power industry generation by primary energy...

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

    District of Columbia" "megawatthours" "Total electric industry", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, ...

  17. Table 5. Electric power industry generation by primary energy...

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

    Arizona" "megawatthours" "Total electric industry", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, ...

  18. Table 5. Electric power industry generation by primary energy...

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

    Connecticut" "megawatthours" "Total electric industry", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, ...

  19. Table 5. Electric power industry generation by primary energy...

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

    Arkansas" "megawatthours" "Total electric industry", 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, ...

  20. DOE Quadrennial Energy Review 1.2, Electricity: Generation to...

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

    ... of critical electric infrastructure information shared with FERC and DOE as part of a major transportation bill. ... In addition to enhancing offerings for residential ...

  1. MHK Technologies/Electric Generating Wave Pipe | Open Energy...

    Open Energy Info (EERE)

    Dimensions Technology Nameplate Capacity (MW) Potential 40 500KW 5MW per unit within cluster Cluster quantity unlimited Device Testing Date Submitted 56:42.6 << Return to the MHK...

  2. Clean Energy Technologies: A Preliminary Inventory of the Potential for Electricity Generation

    SciTech Connect (OSTI)

    Bailey, Owen; Worrell, Ernst

    2005-08-03

    The nation's power system is facing a diverse and broad set of challenges. These range from restructuring and increased competitiveness in power production to the need for additional production and distribution capacity to meet demand growth, and demands for increased quality and reliability of power and power supply. In addition, there are growing concerns about emissions from fossil fuel powered generation units and generators are seeking methods to reduce the CO{sub 2} emission intensity of power generation. Although these challenges may create uncertainty within the financial and electricity supply markets, they also offer the potential to explore new opportunities to support the accelerated deployment of cleaner and cost-effective technologies to meet such challenges. The federal government and various state governments, for example, support the development of a sustainable electricity infrastructure. As part of this policy, there are a variety of programs to support the development of ''cleaner'' technologies such as combined heat and power (CHP, or cogeneration) and renewable energy technologies. Energy from renewable energy sources, such as solar, wind, hydro, and biomass, are considered carbon-neutral energy technologies. The production of renewable energy creates no incremental increase in fossil fuel consumption and CO{sub 2} emissions. Electricity and thermal energy production from all renewable resources, except biomass, produces no incremental increase in air pollutants such as nitrogen oxides, sulfur oxides, particulate matter, and carbon monoxide. There are many more opportunities for the development of cleaner electricity and thermal energy technologies called ''recycled'' energy. A process using fossil fuels to produce an energy service may have residual energy waste streams that may be recycled into useful energy services. Recycled energy methods would capture energy from sources that would otherwise be unused and convert it to electricity or useful thermal energy. Recycled energy produces no or little increase in fossil fuel consumption and pollutant emissions. Examples of energy recycling methods include industrial gasification technologies to increase energy recovery, as well as less traditional CHP technologies, and the use of energy that is typically discarded from pressure release vents or from the burning and flaring of waste streams. These energy recovery technologies have the ability to reduce costs for power generation. This report is a preliminary study of the potential contribution of this ''new'' generation of clean recycled energy supply technologies to the power supply of the United States. For each of the technologies this report provides a short technical description, as well as an estimate of the potential for application in the U.S., estimated investment and operation costs, as well as impact on air pollutant emission reductions. The report summarizes the potential magnitude of the benefits of these new technologies. The report does not yet provide a robust cost-benefit analysis. It is stressed that the report provides a preliminary assessment to help focus future efforts by the federal government to further investigate the opportunities offered by new clean power generation technologies, as well as initiate policies to support further development and uptake of clean power generation technologies.

  3. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Renewable Electricity Profile 2010 North Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7

  4. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Pennsylvania Renewable Electricity Profile 2010 Pennsylvania profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2

  5. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Rhode Island Renewable Electricity Profile 2010 Rhode Island profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1

  6. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Renewable Electricity Profile 2010 South Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1

  7. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Renewable Electricity Profile 2010 South Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - -

  8. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee Renewable Electricity Profile 2010 Tennessee profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,417 100.0 Total Net Summer Renewable Capacity 2,847 13.3 Geothermal - - Hydro Conventional 2,624 12.3 Solar - - Wind 29 0.1 Wood/Wood Waste 185 0.9

  9. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont Renewable Electricity Profile 2010 Vermont profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,128 100.0 Total Net Summer Renewable Capacity 408 36.2 Geothermal - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 Wood/Wood Waste 76 6.7 MSW/Landfill Gas 3

  10. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wisconsin Renewable Electricity Profile 2010 Wisconsin profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 17,836 100.0 Total Net Summer Renewable Capacity 1,267 7.1 Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 Wood/Wood Waste 239 1.3

  11. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Wyoming Renewable Electricity Profile 2010 Wyoming profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,986 100.0 Total Net Summer Renewable Capacity 1,722 21.6 Geothermal - - Hydro Conventional 307 3.8 Solar - - Wind 1,415 17.7 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  12. EIA - Renewable Electricity State Profiles

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

    Alabama Renewable Electricity Profile 2010 Alabama profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 32,417 100.0 Total Net Summer Renewable Capacity 3,855 11.9 Geothermal - - Hydro Conventional 3,272 10.1 Solar - - Wind - - Wood/Wood Waste 583 1.8 MSW/Landfill

  13. EIA - Renewable Electricity State Profiles

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

    Alaska Renewable Electricity Profile 2010 Alaska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,067 100.0 Total Net Summer Renewable Capacity 422 20.4 Geothermal - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 Wood/Wood Waste - - MSW/Landfill Gas - -

  14. EIA - Renewable Electricity State Profiles

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

    Arizona Renewable Electricity Profile 2010 Arizona profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,392 100.0 Total Net Summer Renewable Capacity 2,901 11.9 Geothermal - - Hydro Conventional 2,720 10.1 Solar 20 - Wind 128 - Wood/Wood Waste 583 1.8

  15. EIA - Renewable Electricity State Profiles

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

    Connecticut Renewable Electricity Profile 2010 Connecticut profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,284 100.0 Total Net Summer Renewable Capacity 281 3.4 Geothermal - - Hydro Conventional 122 1.5 Solar - - Wind - -

  16. EIA - Renewable Electricity State Profiles

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

    Delaware Renewable Electricity Profile 2010 Delaware profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,389 100.0 Total Net Summer Renewable Capacity 10 0.3 Geothermal - - Hydro Conventional - - Solar - - Wind 2 0.1 Wood/Wood

  17. EIA - Renewable Electricity State Profiles

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

    District of Columbia Renewable Electricity Profile 2010 District of Columbia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source - Primary Renewable Energy Generation Source - Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 790 100.0 Total Net Summer Renewable Capacity - - Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  18. EIA - Renewable Electricity State Profiles

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

    Georgia Renewable Electricity Profile 2010 Georgia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 36,636 100.0 Total Net Summer Renewable Capacity 2,689 7.3 Geothermal - - Hydro Conventional 2,052 5.6 Solar - - Wind - - Wood/Wood Waste 617 1.7 MSW/Landfill Gas

  19. EIA - Renewable Electricity State Profiles

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

    Kansas Renewable Electricity Profile 2010 Kansas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,543 100.0 Total Net Summer Renewable Capacity 1,082 8.6 Geothermal - - Hydro Conventional 3 * Solar - - Wind 1,072 8.5 Wood/Wood Waste - - MSW/Landfill Gas 7 0.1 Other Biomass - -

  20. EIA - Renewable Electricity State Profiles

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

    Louisiana Renewable Electricity Profile 2010 Louisiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,744 100.0 Total Net Summer Renewable Capacity 517 1.9 Geothermal - - Hydro Conventional 192 0.7 Solar - - Wind - - Wood/Wood Waste 311 1.2 MSW/Landfill Gas - -

  1. EIA - Renewable Electricity State Profiles

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

    Maryland Renewable Electricity Profile 2010 Maryland profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,516 100.0 Total Net Summer Renewable Capacity 799 6.4 Geothermal - - Hydro Conventional 590 4.7 Solar 1 * Wind 70 0.6 Wood/Wood Waste 3 * MSW/Landfill Gas

  2. EIA - Renewable Electricity State Profiles

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

    Massachusetts Renewable Electricity Profile 2010 Massachusetts profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,697 100.0 Total Net Summer Renewable Capacity 566 4.1 Geothermal - - Hydro Conventional 262 1.9 Solar 4 * Wind 10 0.1 Wood/Wood

  3. EIA - Renewable Electricity State Profiles

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

    Mississippi Renewable Electricity Profile 2010 Mississippi profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,691 100.0 Total Net Summer Renewable Capacity 235 1.5 Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste 235 1.5 MSW/Landfill Gas - -

  4. EIA - Renewable Electricity State Profiles

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

    Missouri Renewable Electricity Profile 2010 Missouri profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,739 100.0 Total Net Summer Renewable Capacity 1,030 4.7 Geothermal - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 Wood/Wood Waste - - MSW/Landfill Gas

  5. EIA - Renewable Electricity State Profiles

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

    Montana Renewable Electricity Profile 2010 Montana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill

  6. EIA - Renewable Electricity State Profiles

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

    Nebraska Renewable Electricity Profile 2010 Nebraska profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,857 100.0 Total Net Summer Renewable Capacity 443 5.6 Geothermal - - Hydro Conventional 278 3.5 Solar - - Wind 154 2.0 Wood/Wood Waste - - MSW/Landfill Gas 6

  7. EIA - Renewable Electricity State Profiles

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

    Hampshire Renewable Electricity Profile 2010 New Hampshire profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,180 100.0 Total Net Summer Renewable Capacity 671 16.1 Geothermal - - Hydro Conventional 489 11.7 Solar - - Wind 24 0.6 Wood/Wood Waste 129 3.1

  8. EIA - Renewable Electricity State Profiles

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

    Jersey Renewable Electricity Profile 2010 New Jersey profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 18,424 100.0 Total Net Summer Renewable Capacity 230 1.2 Geothermal - - Hydro Conventional 4 * Solar 28 0.2 Wind 8 * Wood/Wood

  9. EIA - Renewable Electricity State Profiles

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

    Carolina Renewable Electricity Profile 2010 North Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7

  10. EIA - Renewable Electricity State Profiles

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

    Pennsylvania Renewable Electricity Profile 2010 Pennsylvania profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2

  11. EIA - Renewable Electricity State Profiles

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

    Rhode Island Renewable Electricity Profile 2010 Rhode Island profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1

  12. EIA - Renewable Electricity State Profiles

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

    Carolina Renewable Electricity Profile 2010 South Carolina profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1

  13. EIA - Renewable Electricity State Profiles

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

    Dakota Renewable Electricity Profile 2010 South Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - -

  14. EIA - Renewable Electricity State Profiles

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

    Tennessee Renewable Electricity Profile 2010 Tennessee profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,417 100.0 Total Net Summer Renewable Capacity 2,847 13.3 Geothermal - - Hydro Conventional 2,624 12.3 Solar - - Wind 29 0.1 Wood/Wood Waste 185 0.9

  15. EIA - Renewable Electricity State Profiles

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

    Vermont Renewable Electricity Profile 2010 Vermont profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,128 100.0 Total Net Summer Renewable Capacity 408 36.2 Geothermal - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 Wood/Wood Waste 76 6.7 MSW/Landfill Gas 3

  16. EIA - Renewable Electricity State Profiles

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

    Virginia Renewable Electricity Profile 2010 Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 24,109 100.0 Total Net Summer Renewable Capacity 1,487 6.2 Geothermal - - Hydro Conventional 866 3.6 Solar - - Wind - - Wood/Wood Waste 331 1.4 MSW/Landfill Gas

  17. EIA - Renewable Electricity State Profiles

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

    West Virginia Renewable Electricity Profile 2010 West Virginia profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 16,495 100.0 Total Net Summer Renewable Capacity 715 4.3 Geothermal - - Hydro Conventional 285 1.7 Solar - - Wind 431 2.6 Wood/Wood Waste - - MSW/Landfill Gas - -

  18. EIA - Renewable Electricity State Profiles

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

    Wisconsin Renewable Electricity Profile 2010 Wisconsin profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 17,836 100.0 Total Net Summer Renewable Capacity 1,267 7.1 Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 Wood/Wood Waste 239 1.3

  19. EIA - Renewable Electricity State Profiles

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

    Wyoming Renewable Electricity Profile 2010 Wyoming profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,986 100.0 Total Net Summer Renewable Capacity 1,722 21.6 Geothermal - - Hydro Conventional 307 3.8 Solar - - Wind 1,415 17.7 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - -

  20. Adapting On-Site Electrical Generation Platforms for Producer Gas - Fact

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

    Sheet, April 2014 | Department of Energy Adapting On-Site Electrical Generation Platforms for Producer Gas - Fact Sheet, April 2014 Adapting On-Site Electrical Generation Platforms for Producer Gas - Fact Sheet, April 2014 The University of Minnesota, Morris, in collaboration with the University of Minnesota Center for Diesel Research, Cummins Power Generation Inc., ALL Power Labs, and Hammel, Green & Abrahamson (HGA), integrated a biomass gasifier and a reciprocating engine generator

  1. Transmission Pricing Issues for Electricity Generation From Renewable Resources

    Reports and Publications (EIA)

    1999-01-01

    This article discusses how the resolution of transmission pricing issues which have arisen under the Federal Energy Regulatory Commission's (FERC) open access environment may affect the prospects for renewable-based electricity.

  2. Sales and Use Tax Exemption for Electrical Generating Equipment

    Broader source: Energy.gov [DOE]

    Indiana does not have a specific sales and use tax exemption for equipment used in the production of renewable electricity. Therefore, such equipment is presumed to be subject to sales and use tax....

  3. Low-temperature Stirling Engine for Geothermal Electricity Generation...

    Office of Scientific and Technical Information (OSTI)

    The electric power output of these engines has been demonstrated at over 2kWe and over 16% thermal conversion efficiency for an input temperature of 215C and a rejection ...

  4. Fact #885: August 10, 2015 Electricity Generation - Planned Additions...

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

    Most of the new solar capacity is in the southwest with the exception of North Carolina ... 12 12 New Jersey 2,230 27 2,257 New Mexico 80 65 728 873 Nevada 1,368 200 25 1,593 ...

  5. Treatment of Solar Generation in Electric Utility Resource Planning (Presentation)

    SciTech Connect (OSTI)

    Cory, K.; Sterling, J.; Taylor, M.; McLaren, J.

    2014-01-01

    Today's utility planners have a different market and economic context than their predecessors, including planning for the growth of renewable energy. Through interviews and a questionnaire, the authors gathered information on utility supply planning and how solar is represented. Utilities were asked to provide their resource planning process details, key assumptions (e.g. whether DG is represented as supply or negative load), modeling methodology (e.g. type of risk analytics and candidate portfolio development), capacity expansion and production simulation model software, and solar project representation (project size, capacity value and integration cost adder). This presentation aims to begin the exchange of information between utilities, regulators and other stakeholders by capturing utility-provided information about: 1) how various utilities approach long-range resource planning; 2) methods and tools utilities use to conduct resource planning; and, 3) how solar technologies are considered in the resource planning process.

  6. Adapting On-Site Electrical Generation Platforms for Producer...

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

    a biomass gasifier and a reciprocating engine generator set into a combined platform, ... Draft White Paper, September 2007 Combined Heat and Power Market Potential for Opportunity ...

  7. Attend a Webinar on AMO's Next Generation Electric Machines Funding...

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

    that develop a new generation of energy efficient, high power density, high speed, integrated medium voltage drive systems for a wide variety of critical energy applications. ...

  8. Renewable Electricity Generation and Delivery at the Sacramento...

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

    (CEC), helped build a solar power system, biogas generation from waste systems, and ... facility completed construction on a biogas enhancement facility that co-digests ...

  9. Emissions Associated with Electric Vehicle Charging: Impact of Electricity Generation Mix, Charging Infrastructure Availability, and Vehicle Type

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

    Emissions Associated with Electric Vehicle Charging: Impact of Electricity Generation Mix, Charging Infrastructure Availability, and Vehicle Type Joyce McLaren, John Miller, Eric O'Shaughnessy, Eric Wood, and Evan Shapiro National Renewable Energy Laboratory Technical Report NREL/TP-6A20-64852 April 2016 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at

  10. A system dynamic modeling approach for evaluating municipal solid waste generation, landfill capacity and related cost management issues

    SciTech Connect (OSTI)

    Kollikkathara, Naushad; Feng Huan; Yu Danlin

    2010-11-15

    As planning for sustainable municipal solid waste management has to address several inter-connected issues such as landfill capacity, environmental impacts and financial expenditure, it becomes increasingly necessary to understand the dynamic nature of their interactions. A system dynamics approach designed here attempts to address some of these issues by fitting a model framework for Newark urban region in the US, and running a forecast simulation. The dynamic system developed in this study incorporates the complexity of the waste generation and management process to some extent which is achieved through a combination of simpler sub-processes that are linked together to form a whole. The impact of decision options on the generation of waste in the city, on the remaining landfill capacity of the state, and on the economic cost or benefit actualized by different waste processing options are explored through this approach, providing valuable insights into the urban waste-management process.

  11. South Dakota Renewable Electric Power Industry Statistics

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

    Dakota Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 10,050 100.0 Total

  12. Mississippi Renewable Electric Power Industry Statistics

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

    Mississippi Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,691 100.0 Total Net Summer Renewable Capacity 235 1.5 Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste 235 1.5 MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 54,487 100.0 Total Renewable Net

  13. Missouri Renewable Electric Power Industry Statistics

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

    Missouri Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,739 100.0 Total Net Summer Renewable Capacity 1,030 4.7 Geothermal - - Hydro Conventional 564 2.6 Solar - - Wind 459 2.1 Wood/Wood Waste - - MSW/Landfill Gas 8 * Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 92,313 100.0 Total Renewable

  14. Montana Renewable Electric Power Industry Statistics

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

    Montana Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 5,866 100.0 Total Net Summer Renewable Capacity 3,085 52.6 Geothermal - - Hydro Conventional 2,705 46.1 Solar - - Wind 379 6.5 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 29,791 100.0 Total

  15. Alabama Renewable Electric Power Industry Statistics

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

    Alabama Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 32,417 100.0 Total Net Summer Renewable Capacity 3,855 11.9 Geothermal - - Hydro Conventional 3,272 10.1 Solar - - Wind - - Wood/Wood Waste 583 1.8 MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 152,151 100.0 Total

  16. Alaska Renewable Electric Power Industry Statistics

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

    Alaska Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,067 100.0 Total Net Summer Renewable Capacity 422 20.4 Geothermal - - Hydro Conventional 414 20.1 Solar - - Wind 7 0.4 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 6,760 100.0 Total Renewable Net

  17. Delaware Renewable Electric Power Industry Statistics

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

    Delaware Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,389 100.0 Total Net Summer Renewable Capacity 10 0.3 Geothermal - - Hydro Conventional - - Solar - - Wind 2 0.1 Wood/Wood Waste - - MSW/Landfill Gas 8 0.2 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 5,628

  18. West Virginia Renewable Electric Power Industry Statistics

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

    West Virginia Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 16,495 100.0 Total Net Summer Renewable Capacity 715 4.3 Geothermal - - Hydro Conventional 285 1.7 Solar - - Wind 431 2.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 80,789 100.0 Total Renewable Net

  19. Use of Geothermal Energy for Electric Power Generation

    SciTech Connect (OSTI)

    Mashaw, John M.; Prichett, III, Wilson

    1980-10-23

    The National Rural Electric Cooperative Association and its 1,000 member systems are involved in the research, development and utilization of many different types of supplemental and alternative energy resources. We share a strong commitment to the wise and efficient use of this country's energy resources as the ultimate answer to our national prosperity and economic growth. WRECA is indebted to the United States Department of Energy for funding the NRECA/DOE Geothermal Workshop which was held in San Diego, California in October, 1980. We would also like to express our gratitude to each of the workshop speakers who gave of their time, talent and experience so that rural electric systems in the Western U. S. might gain a clearer understanding of the geothermal potential in their individual service areas. The participants were also presented with practical, expert opinion regarding the financial and technical considerations of using geothermal energy for electric power production. The organizers of this conference and all of those involved in planning this forum are hopeful that it will serve as an impetus toward the full utilization of geothermal energy as an important ingredient in a more energy self-sufficient nation. The ultimate consumer of the rural electric system, the member-owner, expects the kind of leadership that solves the energy problems of tomorrow by fully utilizing the resources at our disposal today.

  20. Electrical Generation for More-Electric Aircraft using Solid Oxide Fuel Cells

    Broader source: Energy.gov [DOE]

    This study, completed by Pacific Northwest National Laboratory, examines approaches to providing electrical power on board commercial aircraft using solid oxide fuel (SOFC) technology.

  1. Electric power generating plant having direct-coupled steam and compressed-air cycles

    DOE Patents [OSTI]

    Drost, M.K.

    1981-01-07

    An electric power generating plant is provided with a Compressed Air Energy Storage (CAES) system which is directly coupled to the steam cycle of the generating plant. The CAES system is charged by the steam boiler during off peak hours, and drives a separate generator during peak load hours. The steam boiler load is thereby levelized throughout an operating day.

  2. Electric power generating plant having direct coupled steam and compressed air cycles

    DOE Patents [OSTI]

    Drost, Monte K.

    1982-01-01

    An electric power generating plant is provided with a Compressed Air Energy Storage (CAES) system which is directly coupled to the steam cycle of the generating plant. The CAES system is charged by the steam boiler during off peak hours, and drives a separate generator during peak load hours. The steam boiler load is thereby levelized throughout an operating day.

  3. An integrated assessment of global and regional water demands for electricity generation to 2095

    SciTech Connect (OSTI)

    Davies, Evan; Kyle, G. Page; Edmonds, James A.

    2013-02-01

    Electric power plants currently account for approximately one-half of the global industrial water withdrawal. While continued expansion of the electric sector seems likely into the future, the consequent water demands are quite uncertain, and will depend on highly variable water intensities by electricity technologies, at present and in the future. Using GCAM, an integrated assessment model of energy, agriculture, and climate change, we first establish lower-bound, median, and upper-bound estimates for present-day electric sector water withdrawals and consumption by individual electric generation technologies in each of 14 geopolitical regions, and compare them with available estimates of regional industrial or electric sector water use. We then explore the evolution of global and regional electric sector water use over the next century, focusing on uncertainties related to withdrawal and consumption intensities for a variety of electric generation technologies, rates of change of power plant cooling system types, and rates of adoption of a suite of water-saving technologies. Results reveal that the water withdrawal intensity of electricity generation is likely to decrease in the near term with capital stock turnover, as wet towers replace once-through flow cooling systems and advanced electricity generation technologies replace conventional ones. An increase in consumptive use accompanies the decrease in water withdrawal rates; however, a suite of water conservation technologies currently under development could compensate for this increase in consumption. Finally, at a regional scale, water use characteristics vary significantly based on characteristics of the existing capital stock and the selection of electricity generation technologies into the future.

  4. The Market for Coal Based Electric Power Generation

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

    Roadmap "CURC/EPRI/DOE Consensus Roadmap" Background Information Go to Roadmap http://www.netl.doe.gov/coalpower/ccpi/pubs/CCT-Roadmap-Background.pdf 04/20/04 The Clean Coal Technology Roadmap is the U.S. Department of Energy's plan to develop the technology needed for future energy plants that use coal to produce electricity and, when economically favored, transportation fuels, and other valuable energy products as well; have near-zero emissions including CO 2 ; are highly efficient;

  5. Water demands for electricity generation in the U.S.: Modeling...

    Office of Scientific and Technical Information (OSTI)

    Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus This content will become publicly available on March 11, 2018 Title: ...

  6. 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.

  7. If I generate 20 percent of my national electricity from wind...

    Open Energy Info (EERE)

    If I generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

  8. EERE Success Story—Maine: Energy Efficiency Program Helps Generate Town's Electricity

    Broader source: Energy.gov [DOE]

    Energy Efficiency program helps municipalities with their energy bills. Thomaston, Maine, was able to install solar panels to generate 13% of the electricity used by the wastewater treatment facility.

  9. Short-Term Energy Outlook Model Documentation: Electricity Generation and Fuel Consumption Models

    Gasoline and Diesel Fuel Update (EIA)

    Model Documentation: Electricity Generation and Fuel Consumption Models January 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | STEO Model Documentation: Electricity Generation and Fuel Consumption Models 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

  10. Water demands for electricity generation in the U.S.: Modeling different

    Office of Scientific and Technical Information (OSTI)

    scenarios for the water-energy nexus (Journal Article) | SciTech Connect Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus Citation Details In-Document Search This content will become publicly available on March 11, 2018 Title: Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus Authors: Liu, Lu ; Hejazi, Mohamad ; Patel, Pralit ; Kyle, Page ; Davies, Evan ; Zhou, Yuyu ;

  11. Water demands for electricity generation in the U.S.: Modeling different

    Office of Scientific and Technical Information (OSTI)

    scenarios for the water-energy nexus (Journal Article) | DOE PAGES Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus This content will become publicly available on March 11, 2018 Title: Water demands for electricity generation in the U.S.: Modeling different scenarios for the water-energy nexus Authors: Liu, Lu ; Hejazi, Mohamad ; Patel, Pralit ; Kyle, Page ; Davies, Evan ; Zhou, Yuyu ; Clarke, Leon ; Edmonds, James Publication

  12. Electric Power Generation from Co-Produced and Other Oil Field Fluids |

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

    Department of Energy Co-produced and low-temperature demonstration projects presentation at the 2013 peer review meeting held in Denver, Colorado. PDF icon coproduced_demoprojects_peerreview2013.pdf More Documents & Publications Chena Hot Springs Resort - Electric Power Generation Using Geothermal Fluid Coproduced from Oil and/or Gas Wells Electrical Power Generation Using Geothermal Fluid Co-produced from Oil & Gas track 1: Low Temp | geothermal 2015 peer review

  13. Electric Power Generation from Coproduced Fluids from Oil and Gas Wells |

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

    Department of Energy The primary objective of this project is to demonstrate the technical and economic feasibility of generating electricity from non-conventional low temperature (150 to 300º F) geothermal resources in oil and gas settings. PDF icon low_gosnold_coproduced_fluids.pdf More Documents & Publications Electric Power Generation from Co-Produced and Other Oil Field Fluids AAPG Low-Temperature Webinar Low Temperature/Coproduced/Geopressured Subprogram Overview

  14. Generator Bidding Strategies in a Competitive Electricity Market with Derating and Bid-Segment Considerations

    SciTech Connect (OSTI)

    Lu, Ning; Chow, Joe H.; Desrochers, Alan A.

    2009-07-31

    This paper develops optimal generator bidding strategies in a competitive electricity market. Starting from a generators cost curve, basic bidding concepts such as the break-even bid curve and the maximum profit bid curve can be readily derived. The maximum profit bid curve can be extended to account for generator availability and derating. In addition, multiple-segment block energy bids can be optimized based on the maximum profit curve and the probabilistic distribution of market clearing prices.

  15. District of Columbia Renewable Electric Power Industry Statistics

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

    District of Columbia Primary Renewable Energy Capacity Source - Primary Renewable Energy Generation Source - Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 790 100.0 Total Net Summer Renewable Capacity - - Geothermal - - Hydro Conventional - - Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 200 100.0 Total Renewable Net Generation - - Geothermal - - Hydro

  16. Wind Gains ground, hitting 33 GW of installed capacity

    SciTech Connect (OSTI)

    2010-06-15

    The U.S. currently has 33 GW of installed wind capacity. Wind continues to gain ground, accounting for 42 percent of new capacity additions in the US in 2008.Globally, there are now 146 GW of wind capacity with an impressive and sustained growth trajectory that promises to dominate new generation capacities in many developing countries. The U.S., however, lags many European countries, with wind providing roughly 2 percent of electricity generation.

  17. Feasibility Study of Biomass Electrical Generation on Tribal Lands

    SciTech Connect (OSTI)

    Tom Roche; Richard Hartmann; Joohn Luton; Warren Hudelson; Roger Blomguist; Jan Hacker; Colene Frye

    2005-03-29

    The goals of the St. Croix Tribe are to develop economically viable energy production facilities using readily available renewable biomass fuel sources at an acceptable cost per kilowatt hour ($/kWh), to provide new and meaningful permanent employment, retain and expand existing employment (logging) and provide revenues for both producers and sellers of the finished product. This is a feasibility study including an assessment of available biomass fuel, technology assessment, site selection, economics viability given the foreseeable fuel and generation costs, as well as an assessment of the potential markets for renewable energy.

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

    Broader source: Energy.gov [DOE]

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

  19. Role of Energy Storage with Renewable Electricity Generation (Report Summary) (Presentation)

    SciTech Connect (OSTI)

    Denholm, P.; Ela, E.; Kirby, B.; Milligan, M.

    2010-03-01

    Renewable energy sources, such as wind and solar, have vast potential to reduce dependence on fossil fuels and greenhouse gas emissions in the electric sector. Climate change concerns, state initiatives including renewable portfolio standards, and consumer efforts are resulting in increased deployments of both technologies. Both solar photovoltaics (PV) and wind energy have variable and uncertain (sometimes referred to as "intermittent") output, which are unlike the dispatchable sources used for the majority of electricity generation in the United States. The variability of these sources has led to concerns regarding the reliability of an electric grid that derives a large fraction of its energy from these sources as well as the cost of reliably integrating large amounts of variable generation into the electric grid. In this report, we explore the role of energy storage in the electricity grid, focusing on the effects of large-scale deployment of variable renewable sources (primarily wind and solar energy).

  20. Table 8.12a Electric Noncoincident Peak Load and Capacity Margin: Summer Peak Period, 1986-2011 (Megawatts, Except as Noted)

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

    a Electric Noncoincident Peak Load and Capacity Margin: Summer Peak Period, 1986-2011 (Megawatts, Except as Noted) Year Noncoincident Peak Load 1 by North American Electric Reliability Corporation (NERC) 2 Regional Assessment Area Capacity Margin 21 (percent) Eastern Interconnection ERCOT 4 Western Inter- connection All Inter- connections FRCC 5 NPCC 6 Balance of Eastern Region 3 ECAR 7,8 MAAC 8,9 MAIN 8,10 MAPP 11 MISO 12 MRO 13 PJM 14 RFC 8,15 SERC 16 SPP 17 Subtotal TRE 18 WECC 19 Total 20

  1. Table 8.12b Electric Noncoincident Peak Load and Capacity Margin: Winter Peak Period, 1986-2011 (Megawatts, Except as Noted)

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

    b Electric Noncoincident Peak Load and Capacity Margin: Winter Peak Period, 1986-2011 (Megawatts, Except as Noted) Year Noncoincident Peak Load 1 by North American Electric Reliability Corporation (NERC) 2 Regional Assessment Area Capacity Margin 21 (percent) Eastern Interconnection ERCOT 4 Western Inter- connection All Inter- connections FRCC 5 NPCC 6 Balance of Eastern Region 3 ECAR 7,8 MAAC 8,9 MAIN 8,10 MAPP 11 MISO 12 MRO 13 PJM 14 RFC 8,15 SERC 16 SPP 17 Subtotal TRE 18 WECC 19 Total 20

  2. Method and apparatus for generating electric power by waves

    SciTech Connect (OSTI)

    Watabe, T.; Dote, Y.; Kondo, H.; Matsuda, T.; Takagi, M.; Yano, K.

    1984-12-25

    At least one caisson which is part or all of a breakwater forms a water chamber therein whose closure is a pendulum having a natural period in rocking or oscillating the same as a period of stationary wave surges caused in the water chamber by rocking movement of the pendulum owing to wave force impinging against the pendulum. At least one double-acting piston and cylinder assembly is connected to the pendulum, so that when a piston of the assembly is reciprocatively moved by the pendulum, pressure difference between cylinder chambers on both sides of the piston of the assembly controls a change-over valve which in turn controls hydraulic pressure discharged from the cylinder chambers to be supplied to a plurality of hydraulic motors respectively having accumulators of a type wherein accumulated pressure and volume of the hydraulic liquid are proportional to each other, whereby driving a common generator alternately by the hydraulic motors.

  3. Connecticut Renewable Electric Power Industry Statistics

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

    Connecticut Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,284 100.0 Total Net Summer Renewable Capacity 281 3.4 Geothermal - - Hydro Conventional 122 1.5 Solar - - Wind - - Wood/Wood Waste - - MSW/Landfill Gas 159 1.9 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net

  4. Table 8.11d Electric Net Summer Capacity: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.11a; Kilowatts)

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

    d Electric Net Summer Capacity: Commercial and Industrial Sectors, 1989-2011 (Subset of Table 8.11a; Kilowatts) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage Renewable Energy Other 8 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power Biomass Geo- thermal Solar/PV 7 Wind Total Wood 5 Waste 6 Commercial Sector 9<//td> 1989 258,193 191,487 578,797 – 1,028,477 [–] – 17,942 13,144 166,392 [–] – – 197,478 – 1,225,955 1990

  5. Single channel double-duct liquid metal electrical generator using a magnetohydrodynamic device

    DOE Patents [OSTI]

    Haaland, Carsten M.; Deeds, W. Edward

    1999-01-01

    A single channel double-duct liquid metal electrical generator using a magnetohydrodynamic (MHD) device. The single channel device provides useful output AC electric energy. The generator includes a two-cylinder linear-piston engine which drives liquid metal in a single channel looped around one side of the MHD device to form a double-duct contra-flowing liquid metal MHD generator. A flow conduit network and drive mechanism are provided for moving liquid metal with an oscillating flow through a static magnetic field to produce useful AC electric energy at practical voltages and currents. Variable stroke is obtained by controlling the quantity of liquid metal in the channel. High efficiency is obtained over a wide range of frequency and power output.

  6. Single channel double-duct liquid metal electrical generator using a magnetohydrodynamic device

    DOE Patents [OSTI]

    Haaland, C.M.; Deeds, W.E.

    1999-07-13

    A single channel double-duct liquid metal electrical generator using a magnetohydrodynamic (MHD) device. The single channel device provides useful output AC electric energy. The generator includes a two-cylinder linear-piston engine which drives liquid metal in a single channel looped around one side of the MHD device to form a double-duct contra-flowing liquid metal MHD generator. A flow conduit network and drive mechanism are provided for moving liquid metal with an oscillating flow through a static magnetic field to produce useful AC electric energy at practical voltages and currents. Variable stroke is obtained by controlling the quantity of liquid metal in the channel. High efficiency is obtained over a wide range of frequency and power output. 5 figs.

  7. Variable Renewable Generation can Provide Balancing Control to the Electric Power System (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-09-01

    As wind and solar plants become more common in the electric power system, they may be called on to provide grid support services to help maintain system reliability. For example, through the use of inertial response, primary frequency response, and automatic generation control (also called secondary frequency response), wind power can provide assistance in balancing the generation and load on the system. These active power (i.e., real power) control services have the potential to assist the electric power system in times of disturbances and during normal conditions while also potentially providing economic value to consumers and variable renewable generation owners. This one-page, two-sided fact sheet discusses the grid-friendly support and benefits renewables can provide to the electric power system.

  8. Bottling Electricity: Storage as a Strategic Tool for Managing Variability and Capacity Concerns in the Modern Grid

    Energy Savers [EERE]

    ELECTRICITY ADVISORY COMMITTEE MISSION The mission of the Electricity Advisory Committee is to provide advice to the U.S. Department of Energy in implementing the Energy Policy Act of 2005, executing the Energy Independence and Security Act of 2007, and modernizing the nation's electricity delivery infrastructure. ELECTRICITY ADVISORY COMMITTEE GOALS The goals of the Electricity Advisory Committee are to provide advice on: * Electricity policy issues pertaining to the U.S. Department of Energy

  9. Developing a tool to estimate water withdrawal and consumption in electricity generation in the United States.

    SciTech Connect (OSTI)

    Wu, M.; Peng, J.

    2011-02-24

    Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.

  10. Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation

    SciTech Connect (OSTI)

    Ela, E.; Milligan, M.; Bloom, A.; Botterud, A.; Townsend, A.; Levin, T.

    2014-09-01

    Variable generation such as wind and photovoltaic solar power has increased substantially in recent years. Variable generation has unique characteristics compared to the traditional technologies that supply energy in the wholesale electricity markets. These characteristics create unique challenges in planning and operating the power system, and they can also influence the performance and outcomes from electricity markets. This report focuses on two particular issues related to market design: revenue sufficiency for long-term reliability and incentivizing flexibility in short-term operations. The report provides an overview of current design and some designs that have been proposed by industry or researchers.

  11. Production Tax Credit for Renewable Electricity Generation (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    In the late 1970s and early 1980s, environmental and energy security concerns were addressed at the federal level by several key pieces of energy legislation. Among them, the Public Utility Regulatory Policies Act of 1978 (PURPA), P.L. 95-617, required regulated power utilities to purchase alternative electricity generation from qualified generating facilities, including small-scale renewable generators; and the Investment Tax Credit (ITC), P.L. 95-618, part of the Energy Tax Act of 1978, provided a 10% federal tax credit on new investment in capital-intensive wind and solar generation technologies.

  12. Table E13.2. Electricity: Components of Onsite Generation, 1998

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

    2. Electricity: Components of Onsite Generation, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Onsite-Generation Components;" " Unit: Million Kilowatthours." " ",,,"Renewable Energy" ,,,"(excluding Wood",,"RSE" "Economic","Total Onsite",,"and",,"Row"

  13. South Korean energy outlook: Coal and electricity focus

    SciTech Connect (OSTI)

    Young, E.M.; Johnson, C.J.; Li, B.

    1995-03-01

    This paper concisely outlines the capacity for Korea to generate electricity by using coal. Resources (native and imported) as well as facilities are reviewed.

  14. A model for estimation of potential generation of waste electrical and electronic equipment in Brazil

    SciTech Connect (OSTI)

    Araujo, Marcelo Guimaraes; Magrini, Alessandra; Mahler, Claudio Fernando; Bilitewski, Bernd

    2012-02-15

    Highlights: Black-Right-Pointing-Pointer Literature of WEEE generation in developing countries is reviewed. Black-Right-Pointing-Pointer We analyse existing estimates of WEEE generation for Brazil. Black-Right-Pointing-Pointer We present a model for WEEE generation estimate. Black-Right-Pointing-Pointer WEEE generation of 3.77 kg/capita year for 2008 is estimated. Black-Right-Pointing-Pointer Use of constant lifetime should be avoided for non-mature market products. - Abstract: Sales of electrical and electronic equipment are increasing dramatically in developing countries. Usually, there are no reliable data about quantities of the waste generated. A new law for solid waste management was enacted in Brazil in 2010, and the infrastructure to treat this waste must be planned, considering the volumes of the different types of electrical and electronic equipment generated. This paper reviews the literature regarding estimation of waste electrical and electronic equipment (WEEE), focusing on developing countries, particularly in Latin America. It briefly describes the current WEEE system in Brazil and presents an updated estimate of generation of WEEE. Considering the limited available data in Brazil, a model for WEEE generation estimation is proposed in which different methods are used for mature and non-mature market products. The results showed that the most important variable is the equipment lifetime, which requires a thorough understanding of consumer behavior to estimate. Since Brazil is a rapidly expanding market, the 'boom' in waste generation is still to come. In the near future, better data will provide more reliable estimation of waste generation and a clearer interpretation of the lifetime variable throughout the years.

  15. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  16. Research Initiative Will Demonstrate Low Temperature Geothermal Electrical Power Generation Systems Using Oilfield Fluids

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's (DOE) Geothermal Technologies Office (GTO) is announcing a new collaboration with the Office of Fossil Energy (FE) to demonstrate the versatility, reliability, and deployment capabilities of low-temperature geothermal electrical power generation systems using co-produced water from oilfield operations at the Rocky Mountain Oilfield Testing Center (RMOTC) in Wyoming.

  17. A Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies

    SciTech Connect (OSTI)

    Macknick, Jordan; Newmark, Robin; Heath, Garvin; Hallett, K. C.

    2011-03-01

    This report provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. The presented water factors may be useful in modeling and policy analyses where reliable power plant level data are not available.

  18. EIS-0416: Ivanpah Solar Electric Generating System, San Bernardino County, California

    Broader source: Energy.gov [DOE]

    This EIS analyzes DOE's decision to support a proposal from Solar Partners I, II, IV, and VIII, limited liability corporations formed by BrightSource Energy (BrightSource), to construct and operate a solar thermal electric generating facility in San Bernardino County, California on BLM Land.

  19. Method and apparatus for improving the performance of a nuclear power electrical generation system

    DOE Patents [OSTI]

    Tsiklauri, Georgi V.; Durst, Bruce M.

    1995-01-01

    A method and apparatus for improving the efficiency and performance a of nuclear electrical generation system that comprises the addition of steam handling equipment to an existing plant that results in a surprising increase in plant performance. More particularly, a gas turbine electrical generation system with heat recovery boiler is installed along with a high pressure and a low pressure mixer superheater. Depending upon plant characteristics, the existing moisture separator reheater (MSR) can be either augmented or done away with. The instant invention enables a reduction in T.sub.hot without a derating of the reactor unit, and improves efficiency of the plant's electrical conversion cycle. Coupled with this advantage is a possible extension of the plant's fuel cycle length due to an increased electrical conversion efficiency. The reduction in T.sub.hot further allows for a surprising extension of steam generator life. An additional advantage is the reduction in erosion/corrosion of secondary system components including turbine blades and diaphragms. The gas turbine generator used in the instant invention can also replace or augment existing peak or emergency power needs.

  20. 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.

  1. Method and apparatus for steam mixing a nuclear fueled electricity generation system

    DOE Patents [OSTI]

    Tsiklauri, Georgi V.; Durst, Bruce M.

    1996-01-01

    A method and apparatus for improving the efficiency and performance of a nuclear electrical generation system that comprises the addition of steam handling equipment to an existing plant that results in a surprising increase in plant performance. More particularly, a gas turbine electrical generation system with heat recovery boiler is installed along with a micro-jet high pressure and a low pressure mixer superheater. Depending upon plant characteristics, the existing moisture separator reheater (MSR) can be either augmented or done away with. The instant invention enables a reduction in T.sub.hot without a derating of the reactor unit, and improves efficiency of the plant's electrical conversion cycle. Coupled with this advantage is a possible extension of the plant's fuel cycle length due to an increased electrical conversion efficiency. The reduction in T.sub.hot further allows for a surprising extension of steam generator life. An additional advantage is the reduction in erosion/corrosion of secondary system components including turbine blades and diaphragms. The gas turbine generator used in the instant invention can also replace or augment existing peak or emergency power needs. Another benefit of the instant invention is the extension of plant life and the reduction of downtime due to refueling.

  2. Electricity-producing heating apparatus utilizing a turbine generator in a semi-closed brayton cycle

    DOE Patents [OSTI]

    Labinov, Solomon D.; Christian, Jeffrey E.

    2003-10-07

    The present invention provides apparatus and methods for producing both heat and electrical energy by burning fuels in a stove or boiler using a novel arrangement of a surface heat exchanger and microturbine-powered generator and novel surface heat exchanger. The equipment is particularly suited for use in rural and relatively undeveloped areas, especially in cold regions and highlands.

  3. The Role of Electricity Markets and Market Design in Integrating Solar Generation: Solar Integration Series. 2 of 3 (Brochure)

    SciTech Connect (OSTI)

    Solar Energy Technologies Program

    2011-05-03

    The second out of a series of three fact sheets describing the role of electricity markets and market design in integrating solar generation.

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

    Buildings Energy Data Book [EERE]

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

  5. Using Electric Vehicles to Mitigate Imbalance Requirements Associated with an Increased Penetration of Wind Generation

    SciTech Connect (OSTI)

    Tuffner, Francis K.; Kintner-Meyer, Michael CW

    2011-10-10

    The integration of variable renewable generation sources continues to be a significant area of focus for power system planning. Renewable portfolio standards and initiatives to reduce the dependency on foreign energy sources drive much of the deployment. Unfortunately, renewable energy generation sources like wind and solar tend to be highly variable in nature. To counter the energy imbalance caused by this variability, wind generation often requires additional balancing resources to compensate for the variability in the electricity production. With the expected electrification of transportation, electric vehicles may offer a new load resource for meeting all, or part, of the imbalance created by the renewable generation. This paper investigates a regulation-services-based battery charging method on a population of plug-in hybrid electric vehicles to meet the power imbalance requirements associated with the introduction of 11 GW of additional wind generation into the Northwest Power Pool. It quantifies the number of vehicles required to meet the imbalance requirements under various charging assumptions.

  6. Impact of Generator Flexibility on Electric System Costs and Integration of Renewable Energy

    SciTech Connect (OSTI)

    Palchak, D.; Denholm, P.

    2014-07-01

    Flexibility of traditional generators plays an important role in accommodating the increased variability and uncertainty of wind and solar on the electric power system. Increased flexibility can be achieved with changes to operational practices or upgrades to existing generation. One challenge is in understanding the value of increasing flexibility, and how this value may change given higher levels of variable generation. This study uses a commercial production cost model to measure the impact of generator flexibility on the integration of wind and solar generators. We use a system that is based on two balancing areas in the Western United States with a range of wind and solar penetrations between 15% and 60%, where instantaneous penetration of wind and solar is limited to 80%.

  7. Transient stability enhancement of electric power generating systems by 120-degree phase rotation

    DOE Patents [OSTI]

    Cresap, Richard L.; Taylor, Carson W.; Kreipe, Michael J.

    1982-01-01

    A method and system for enhancing the transient stability of an intertied three-phase electric power generating system. A set of power exporting generators (10) is connected to a set of power importing generators (20). When a transient cannot be controlled by conventional stability controls, and imminent loss of synchronism is detected (such as when the equivalent rotor angle difference between the two generator sets exceeds a predetermined value, such as 150 degrees), the intertie is disconnected by circuit breakers. Then a switch (30) having a 120-degree phase rotation, or a circuit breaker having a 120-degree phase rotation is placed in the intertie. The intertie is then reconnected. This results in a 120-degree reduction in the equivalent rotor angle difference between the two generator sets, making the system more stable and allowing more time for the conventional controls to stabilize the transient.

  8. Impact of Generator Flexibility on Electric System Costs and Integration of Renewable Energy

    Broader source: Energy.gov [DOE]

    Flexibility of traditional generators plays an important role in accommodating the increased variability and uncertainty of wind and solar on the electric power system. Increased flexibility can be achieved with changes to operational practices or upgrades to existing generation. One challenge is in understanding the value of increasing flexibility, and how this value may change given higher levels of variable generation. This study uses a commercial production cost model to measure the impact of generator flexibility on the integration of wind and solar generators. We use a system that is based on two balancing areas in the Western United States with a range of wind and solar penetrations between 15% and 60%, where instantaneous penetration of wind and solar is limited to 80%.

  9. Table 8.2c Electricity Net Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.2b; Thousand Kilowatthours)

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

    c Electricity Net Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.2b; Thousand Kilowatthours) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage 5 Renewable Energy Other 10 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 6 Biomass Geo- thermal Solar/ PV 9 Wind Total Wood 7 Waste 8 Electricity-Only Plants 11<//td> 1989 1553997999 158,347,542 266,917,576 – 1,979,263,117 529,354,717 [6]

  10. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Renewable Electricity Profile 2010 California full profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood

  11. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    York Renewable Electricity Profile 2010 New York profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 39,357 100.0 Total Net Summer Renewable Capacity 6,033 15.3 Geothermal - - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 Wood/Wood Waste 86 0.2

  12. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Renewable Electricity Profile 2010 Ohio profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 33,071 100.0 Total Net Summer Renewable Capacity 231 0.7 Geothermal - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * Wood/Wood Waste 60 0.2 MSW/Landfill Gas 48 0.1

  13. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oklahoma Renewable Electricity Profile 2010 Oklahoma profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,022 100.0 Total Net Summer Renewable Capacity 2,412 11.5 Geothermal - - Hydro Conventional 858 4.1 Solar - - Wind 1,480 7.0 Wood/Wood Waste 58 0.3 MSW/Landfill Gas 16 0.1 Other Biomass

  14. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oregon Renewable Electricity Profile 2010 Oregon profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6

  15. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas Renewable Electricity Profile 2010 Texas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 108,258 100.0 Total Net Summer Renewable Capacity 10,985 10.1 Geothermal - - Hydro Conventional 689 0.6 Solar 14 * Wind 9,952 9.2 Wood/Wood Waste 215 0.2 MSW/Landfill Gas 88 0.1 Other Biomass 28

  16. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    United States Renewable Electricity Profile 2010 United States profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,039,137 100.0 Total Net Summer Renewable Capacity 132,711 12.8 Geothermal 2,405 0.2 Hydro Conventional 78,825 7.6 Solar 941 0.1 Wind 39,135 3.8

  17. EIA - Renewable Electricity State Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Washington Renewable Electricity Profile 2010 Washington profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 30,478 100.0 Total Net Summer Renewable Capacity 23,884 78.4 Geothermal - - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 Wood/Wood Waste 368 1.2

  18. EIA - Renewable Electricity State Profiles

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

    California Renewable Electricity Profile 2010 California full profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood

  19. EIA - Renewable Electricity State Profiles

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

    Colorado Renewable Electricity Profile 2010 Colorado profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,777 100.0 Total Net Summer Renewable Capacity 2,010 14.6 Geothermal - - Hydro Conventional 662 4.8 Solar 41 0.3 Wind 1,294 9.4 Wood/Wood Waste - - MSW/Landfill Gas 3 * Other Biomass 10

  20. EIA - Renewable Electricity State Profiles

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

    Florida Renewable Electricity Profile 2010 Florida profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 59,222 100.0 Total Net Summer Renewable Capacity 1,182 2.0 Geothermal - - Hydro Conventional 55 0.1 Solar 123 0.2 Wind - - Wood/Wood Waste 344 0.6

  1. EIA - Renewable Electricity State Profiles

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

    Hawaii Renewable Electricity Profile 2010 Hawaii profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Other Biomass Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,536 100.0 Total Net Summer Renewable Capacity 340 13.4 Geothermal 31 1.2 Hydro Conventional 24 0.9 Solar 2 0.1 Wind 62 2.4 Wood/Wood Waste - - MSW/Landfill Gas 60 2.4 Other Biomass

  2. EIA - Renewable Electricity State Profiles

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

    Idaho Renewable Electricity Profile 2010 Idaho profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,990 100.0 Total Net Summer Renewable Capacity 3,140 78.7 Geothermal 10 0.3 Hydro Conventional 2,704 67.8 Solar - - Wind 352 8.8 Wood/Wood Waste 68 1.7 MSW/Landfill

  3. EIA - Renewable Electricity State Profiles

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

    Illinois Renewable Electricity Profile 2010 Illinois profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 44,127 100.0 Total Net Summer Renewable Capacity 2,112 4.8 Geothermal - - Hydro Conventional 34 0.1 Solar 9 * Wind 1,946 4.4 Wood/Wood Waste - - MSW/Landfill Gas 123 0.3 Other Biomass - -

  4. EIA - Renewable Electricity State Profiles

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

    Indiana Renewable Electricity Profile 2010 Indiana profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,638 100.0 Total Net Summer Renewable Capacity 1,452 5.3 Geothermal - - Hydro Conventional 60 0.2 Solar - - Wind 1,340 4.8 Wood/Wood Waste - - MSW/Landfill Gas 53 0.2 Other Biomass s *

  5. EIA - Renewable Electricity State Profiles

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

    Iowa Renewable Electricity Profile 2010 Iowa profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,592 100.0 Total Net Summer Renewable Capacity 3,728 25.5 Geothermal - - Hydro Conventional 144 1.0 Solar - - Wind 3,569 24.5 Wood/Wood Waste - - MSW/Landfill Gas 11 0.1 Other Biomass 3 *

  6. EIA - Renewable Electricity State Profiles

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

    Maine Renewable Electricity Profile 2010 Maine profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,430 100.0 Total Net Summer Renewable Capacity 1,692 38.2 Geothermal - - Hydro Conventional 738 16.6 Solar - - Wind 263 5.9 Wood/Wood Waste 600 13.6 MSW/Landfill Gas

  7. EIA - Renewable Electricity State Profiles

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

    Michigan Renewable Electricity Profile 2010 Michigan profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 29,831 100.0 Total Net Summer Renewable Capacity 807 2.7 Geothermal - - Hydro Conventional 237 0.8 Solar - - Wind 163 0.5 Wood/Wood Waste 232 0.8 MSW/Landfill Gas

  8. EIA - Renewable Electricity State Profiles

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

    Minnesota Renewable Electricity Profile 2010 Minnesota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,715 100.0 Total Net Summer Renewable Capacity 2,588 17.6 Geothermal - - Hydro Conventional 193 1.3 Solar - - Wind 2,009 13.7 Wood/Wood Waste 177 1.2 MSW/Landfill Gas 134 0.9 Other

  9. EIA - Renewable Electricity State Profiles

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

    Nevada Renewable Electricity Profile 2010 Nevada profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 11,421 100.0 Total Net Summer Renewable Capacity 1,507 13.2 Geothermal 319 2.8 Hydro Conventional 1,051 9.2 Solar 137 1.2 Wind - - Wood/Wood Waste - - MSW/Landfill

  10. EIA - Renewable Electricity State Profiles

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

    Mexico Renewable Electricity Profile 2010 New Mexico profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,130 100.0 Total Net Summer Renewable Capacity 818 10.1 Geothermal - - Hydro Conventional 82 1.0 Solar 30 0.4 Wind 700 8.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 6 0.1

  11. EIA - Renewable Electricity State Profiles

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

    York Renewable Electricity Profile 2010 New York profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 39,357 100.0 Total Net Summer Renewable Capacity 6,033 15.3 Geothermal - - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 Wood/Wood Waste 86 0.2

  12. EIA - Renewable Electricity State Profiles

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

    Dakota Renewable Electricity Profile 2010 North Dakota profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 6,188 100.0 Total Net Summer Renewable Capacity 1,941 31.4 Geothermal - - Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 10

  13. EIA - Renewable Electricity State Profiles

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

    Ohio Renewable Electricity Profile 2010 Ohio profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 33,071 100.0 Total Net Summer Renewable Capacity 231 0.7 Geothermal - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * Wood/Wood Waste 60 0.2 MSW/Landfill Gas 48 0.1

  14. EIA - Renewable Electricity State Profiles

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

    Oklahoma Renewable Electricity Profile 2010 Oklahoma profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,022 100.0 Total Net Summer Renewable Capacity 2,412 11.5 Geothermal - - Hydro Conventional 858 4.1 Solar - - Wind 1,480 7.0 Wood/Wood Waste 58 0.3 MSW/Landfill Gas 16 0.1 Other Biomass

  15. EIA - Renewable Electricity State Profiles

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

    Oregon Renewable Electricity Profile 2010 Oregon profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6

  16. EIA - Renewable Electricity State Profiles

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

    Texas Renewable Electricity Profile 2010 Texas profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 108,258 100.0 Total Net Summer Renewable Capacity 10,985 10.1 Geothermal - - Hydro Conventional 689 0.6 Solar 14 * Wind 9,952 9.2 Wood/Wood Waste 215 0.2 MSW/Landfill Gas 88 0.1 Other Biomass 28

  17. EIA - Renewable Electricity State Profiles

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

    Utah Renewable Electricity Profile 2010 Utah profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,497 100.0 Total Net Summer Renewable Capacity 528 7.0 Geothermal 42 0.6 Hydro Conventional 255 3.4 Solar - - Wind 222 3.0 Wood/Wood Waste - - MSW/Landfill Gas 9 0.1

  18. EIA - Renewable Electricity State Profiles

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

    Washington Renewable Electricity Profile 2010 Washington profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 30,478 100.0 Total Net Summer Renewable Capacity 23,884 78.4 Geothermal - - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 Wood/Wood Waste 368 1.2

  19. EIA - Renewable Electricity State Profiles

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

    United States Renewable Electricity Profile 2010 United States profile Table 1. Summary Renewable Electric Power Industry Statistics (2010) Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,039,137 100.0 Total Net Summer Renewable Capacity 132,711 12.8 Geothermal 2,405 0.2 Hydro Conventional 78,825 7.6 Solar 941 0.1 Wind 39,135 3.8

  20. North Dakota Renewable Electric Power Industry Statistics

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

    Dakota Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 6,188 100.0 Total Net Summer Renewable Capacity 1,941 31.4 Geothermal - - Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 10 0.2 Generation (thousand megawatthours) Total Electricity Net Generation 34,740 100.0 Total Renewable Net Generation 6,150

  1. Oklahoma Renewable Electric Power Industry Statistics

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

    Oklahoma Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 21,022 100.0 Total Net Summer Renewable Capacity 2,412 11.5 Geothermal - - Hydro Conventional 858 4.1 Solar - - Wind 1,480 7.0 Wood/Wood Waste 58 0.3 MSW/Landfill Gas 16 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 72,251 100.0 Total Renewable Net Generation

  2. New Mexico Renewable Electric Power Industry Statistics

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

    Mexico Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 8,130 100.0 Total Net Summer Renewable Capacity 818 10.1 Geothermal - - Hydro Conventional 82 1.0 Solar 30 0.4 Wind 700 8.6 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 6 0.1 Generation (thousand megawatthours) Total Electricity Net Generation 36,252 100.0 Total Renewable Net Generation 2,072 5.7

  3. Colorado Renewable Electric Power Industry Statistics

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

    Colorado Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,777 100.0 Total Net Summer Renewable Capacity 2,010 14.6 Geothermal - - Hydro Conventional 662 4.8 Solar 41 0.3 Wind 1,294 9.4 Wood/Wood Waste - - MSW/Landfill Gas 3 * Other Biomass 10 0.1 Generation (thousand megawatthours) Total Electricity Net Generation 50,721 100.0 Total Renewable Net Generation

  4. Illinois Renewable Electric Power Industry Statistics

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

    Illinois Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 44,127 100.0 Total Net Summer Renewable Capacity 2,112 4.8 Geothermal - - Hydro Conventional 34 0.1 Solar 9 * Wind 1,946 4.4 Wood/Wood Waste - - MSW/Landfill Gas 123 0.3 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 201,352 100.0 Total Renewable Net Generation 5,257

  5. Indiana Renewable Electric Power Industry Statistics

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

    Indiana Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,638 100.0 Total Net Summer Renewable Capacity 1,452 5.3 Geothermal - - Hydro Conventional 60 0.2 Solar - - Wind 1,340 4.8 Wood/Wood Waste - - MSW/Landfill Gas 53 0.2 Other Biomass s * Generation (thousand megawatthours) Total Electricity Net Generation 125,181 100.0 Total Renewable Net Generation 3,699 3.0

  6. Iowa Renewable Electric Power Industry Statistics

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

    Iowa Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,592 100.0 Total Net Summer Renewable Capacity 3,728 25.5 Geothermal - - Hydro Conventional 144 1.0 Solar - - Wind 3,569 24.5 Wood/Wood Waste - - MSW/Landfill Gas 11 0.1 Other Biomass 3 * Generation (thousand megawatthours) Total Electricity Net Generation 57,509 100.0 Total Renewable Net Generation 10,309

  7. Kansas Renewable Electric Power Industry Statistics

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

    Kansas Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,543 100.0 Total Net Summer Renewable Capacity 1,082 8.6 Geothermal - - Hydro Conventional 3 * Solar - - Wind 1,072 8.5 Wood/Wood Waste - - MSW/Landfill Gas 7 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 47,924 100.0 Total Renewable Net Generation 3,473 7.2

  8. Wyoming Renewable Electric Power Industry Statistics

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

    Wyoming Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,986 100.0 Total Net Summer Renewable Capacity 1,722 21.6 Geothermal - - Hydro Conventional 307 3.8 Solar - - Wind 1,415 17.7 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 48,119 100.0 Total Renewable Net Generation 4,271 8.9

  9. Electricity prices in a competitive environment: Marginal cost pricing of generation services and financial status of electric utilities. A preliminary analysis through 2015

    SciTech Connect (OSTI)

    1997-08-01

    The emergence of competitive markets for electricity generation services is changing the way that electricity is and will be priced in the United States. This report presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated {open_quotes}cost-of-service{close_quotes} pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity patterns, production costs, and the financial integrity of electricity suppliers? This study is not intended to be a cost-benefit analysis of wholesale or retail competition, nor does this report include an analysis of the macroeconomic impacts of competitive electricity prices.

  10. Puget Sound Area Electric Reliability Plan. Appendix B : Local Generation Evaluation : Draft Environmental Impact Statement.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1991-09-01

    The information and data contained in this Appendix was extracted from numerous sources. The principle sources used for technical data were Bonneville Power Administration's 1990 Resource Program along with its technical appendix, and Chapter 8 of the Draft 1991 Northwest Conservation and Electric Power Plan. All cost data is reported 1988 dollars unless otherwise noted. This information was supplemented by other data developed by Puget Sound utilities who participated on the Local Generation Team. Identifying generating resources available to the Puget Sound area involved a five step process: (1) listing all possible resources that might contribute power to the Puget Sound area, (2) characterizing the technology/resource status, cost and operating characteristics of these resources, (3) identifying exclusion criteria based on the needs of the overall Puget Sound Electric Reliability Plan study, (4) applying these criteria to the list of resources, and (5) summarizing of the costs and characteristics of the final list of resources. 15 refs., 20 tabs.

  11. Advanced gas turbines: The choice for low-cost, environmentally superior electric power generation

    SciTech Connect (OSTI)

    Zeh, C.M.

    1996-08-01

    In July 1993, the US Department of Energy (DOE) initiated an ambitious 8-year program to advance state-of-the-art gas turbine technology for land-based electric power generation. The program, known as the Advanced Turbine System (ATS) Program, is a joint government/industry program with the objective to demonstrate advanced industrial and utility gas turbine systems by the year 2000. The goals of the ATS Program are to develop gas turbine systems capable of providing low-cost electric power, while maintaining environmental superiority over competing power generation options. A progress report on the ATS Program pertaining to program status at DOE will be presented and reviewed in this paper. The technical challenges, advanced critical technology requirements, and systems designs meeting the goals of the program will be described and discussed.

  12. Process for generating electricity in a pressurized fluidized-bed combustor system

    DOE Patents [OSTI]

    Kasper, Stanley

    1991-01-01

    A process and apparatus for generating electricity using a gas turbine as part of a pressurized fluidized-bed combustor system wherein coal is fed as a fuel in a slurry in which other constituents, including a sulfur sorbent such as limestone, are added. The coal is combusted with air in a pressurized combustion chamber wherein most of the residual sulfur in the coal is captured by the sulfur sorbent. After particulates are removed from the flue gas, the gas expands in a turbine, thereby generating electric power. The spent flue gas is cooled by heat exchange with system combustion air and/or system liquid streams, and the condensate is returned to the feed slurry.

  13. Design of a low-cost thermoacoustic electricity generator and its experimental verification

    SciTech Connect (OSTI)

    Backhaus, Scott N; Yu, Z; Jaworski, A J

    2010-01-01

    This paper describes the design and testing of a low cost thermoacoustic generator. A travelling-wave thermoacoustic engine with a configuration of a looped-tube resonator is designed and constructed to convert heat to acoustic power. A commercially available, low-cost loudspeaker is adopted as the alternator to convert the engine's acoustic power to electricity. The whole system is designed using linear thermoacoustic theory. The optimization of different parts of the thermoacoustic generator, as well as the matching between the thermoacoustic engine and the alternator are discussed in detail. A detailed comparison between the preliminary test results and linear thermoacoustic predictions is provided.

  14. ReEDS Modeling of the President's 2020 U.S. Renewable Electricity Generation Goal (Presentation)

    SciTech Connect (OSTI)

    Zinaman, O.; Mai, T.; Lantz, E.; Gelman, R.; Porro, G.

    2014-05-01

    President Obama announced in 2012 an Administration Goal for the United States to double aggregate renewable electricity generation from wind, solar, and geothermal sources by 2020. This analysis, using the Regional Energy Deployment System (ReEDS) model, explores a full range of future renewable deployment scenarios out to 2020 to assess progress and outlook toward this goal. Under all modeled conditions, consisting of 21 scenarios, the Administration Goal is met before 2020, and as early as 2015.

  15. Eighteen-Month Final Evaluation of UPS Second Generation Diesel Hybrid Electric Delivery Vans

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

    Eighteen-Month Final Evaluation of UPS Second Generation Diesel Hybrid-Electric Delivery Vans M. Lammert and K. Walkowicz National Renewable Energy Laboratory Technical Report NREL/TP-5400-55658 September 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov

  16. Office of Energy Efficiency and Renewable Energy Fiscal Year 2014 Budget Rollout … Renewable Electricity Generation

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

    April 30, 2013 Office of Energy Efficiency and Renewable Energy Fiscal Year 2014 Budget Rollout - Renewable Electricity Generation 2 EERE's National Mission To create American leadership in the global transition to a clean energy economy 1) High-Impact Research, Development, and Demonstration to Make Clean Energy as Affordable and Convenient as Traditional Forms of Energy 2) Breaking Down Barriers to Market Entry 3 Why Clean Energy Matters To America * Winning the most important global economic

  17. Interim Project Results: United Parcel Service's Second-Generation Hybrid-Electric Delivery Vans (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-01-01

    This fact sheet describes the performance evaluation of United Parcel Service's second-generation hybrid-electric delivery vans. The Fleet Test and Evaluation Team at the National Renewable Energy Laboratory (NREL) is evaluating the 18-month, in-service performance of 11 of these vans along with 11 comparable conventional diesel vans operating in Minneapolis, Minnesota. As a complement to the field study, the team recently completed fuel economy and emissions testing at NREL's Renewable Fuels and Lubricants (ReFUEL) laboratory.

  18. Table A28. Components of Onsite Electricity Generation by Census Region, Cens

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

    Components of Onsite Electricity Generation by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" ,,,"Renewables" ,,,"(excluding Wood",,"RSE" " "," "," ","and"," ","Row" "Economic Characteristics(a)","Total","Cogeneration(b)","Other

  19. Table 8.11a Electric Net Summer Capacity: Total (All Sectors), 1949-2011 (Sum of Tables 8.11b and 8.11d; Kilowatts)

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

    a Electric Net Summer Capacity: Total (All Sectors), 1949-2011 (Sum of Tables 8.11b and 8.11d; Kilowatts) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage Renewable Energy Other 9 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 5 Biomass Geo- thermal Solar/PV 8 Wind Total Wood 6 Waste 7 1949 NA NA NA NA 44,887,000 0 [5] 18,500,000 13,000 [10] NA NA NA 18,513,000 NA 63,400,000 1950 NA NA NA NA 49,987,000 0 [5] 19,200,000 13,000

  20. An assessment of ocean thermal energy conversion as an advanced electric generation methodology

    SciTech Connect (OSTI)

    Heydt, G.T. . School of Electrical Engineering)

    1993-03-01

    Ocean thermal energy conversion (OTEC) is a process that employs the temperature difference between surface and deep ocean water to alternately evaporate and condense a working fluid. In the open-cycle OTEC configuration, the working fluid is seawater. In the closed-cycle configuration, a working fluid such as propane is used. In this paper, OTEC is assessed for its practical merits for electric power generation. The process is not new--and its history is reviewed. Because the OTEC principle operates under a small net temperature difference regime, rather large amounts of seawater and working fluid are required. The energy requirements for pumping these fluids may be greater than the energy recovered from the OTEC engine itself. The concept of net power production is discussed. The components of a typical OTEC plant are discussed with emphasis on the evaporator heat exchanger. Operation of an OTEC electric generating station is discussed, including transient operation. Perhaps the most encouraging aspect of OTEC is the recent experiments and efforts at the Natural Energy Laboratory--Hawaii (NELH). The NELH work is summarized in the paper. Remarks are made on bottlenecks and the future of OTEC as an advanced electric generation methodology.

  1. 2014 Data Book Shows Increased Use of Renewable Electricity ...

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

    Book shows that U.S. renewable electricity grew to 15.5 percent of total installed capacity and 13.5 percent of total electricity generation. Published annually by the National...

  2. Project Overview: United Parcel Service's Second-Generation Hybrid-Electric Delivery Vans (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-11-01

    This fact sheet describes UPS second generation hybrid-electric delivery vehicles as compared to conventional delivery vehicles. Medium-duty commercial vehicles such as moving trucks, beverage-delivery trucks, and package-delivery vans consume almost 2,000 gal of fuel per year on average. United Parcel Service (UPS) operates hybrid-electric package-delivery vans to reduce the fuel use and emissions of its fleet. In 2008, the National Renewable Energy Laboratory's (NREL's) Fleet Test and Evaluation Team evaluated the first generation of UPS' hybrid delivery vans. These hybrid vans demonstrated 29%-37% higher fuel economy than comparable conventional diesel vans, which contributed to UPS' decision to add second-generation hybrid vans to its fleet. The Fleet Test and Evaluation Team is now evaluating the 18-month, in-service performance of 11 second-generation hybrid vans and 11 comparable conventional diesel vans operated by UPS in Minneapolis, Minnesota. The evaluation also includes testing fuel economy and emissions at NREL's Renewable Fuels and Lubricants (ReFUEL) Laboratory and comparing diesel particulate filter (DPF) regeneration. In addition, a followup evaluation of UPS' first-generation hybrid vans will show how those vehicles performed over three years of operation. One goal of this project is to provide a consistent comparison of fuel economy and operating costs between the second-generation hybrid vans and comparable conventional vans. Additional goals include quantifying the effects of hybridization on DPF regeneration and helping UPS select delivery routes for its hybrid vans that maximize the benefits of hybrid technology. This document introduces the UPS second-generation hybrid evaluation project. Final results will be available in mid-2012.

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

    Buildings Energy Data Book [EERE]

    7 Characteristics of New and Stock Generating Capacities, by Plant Type Total Capital Costs Size Overnight Costs (2) of Typical New Plant New Plant Type (MW) (2010 $/kW) ($2010 million) Scrubbed Coal 1300 2809 3652 Integrated Coal-Gasification Combined Cycle (IGCC) 1200 3182 3818 IGCC w/Carbon Sequestration 520 5287 2749 Conv. Gas/Oil Combined Cycle 540 967 522 Adv. Gas/Oil Combined Cycle 400 991 396 Conv. Combustion Turbine 85 961 82 Adv. Combustion Turbine 210 658 138 Fuel Cell 10 6752 68

  4. Next Generation of Renewable Electricity Policy: How Rapid Change is Breaking Down Conventional Policy Categories

    SciTech Connect (OSTI)

    Couture, T. D.; Jacobs, D.; Rickerson, W.; Healey, V.

    2015-02-01

    A number of policies have been used historically in order to stimulate the growth of the renewable electricity sector. This paper examines four of these policy instruments: competitive tendering, sometimes called renewable electricity auctions, feed-in tariffs, net metering and net billing, and tradable renewable energy certificates. In recent years, however, a number of changes to both market circumstances and to policy priorities have resulted in numerous policy innovations, including the emergence of policy hybrids. With no common language for these evolving policy mechanisms, policymakers have generally continued to use the same traditional policy labels, occasionally generating confusion as many of these new policies no longer look, or act, like their traditional predecessors. In reviewing these changes, this paper makes two separate but related claims: first, policy labels themselves are breaking down and evolving. As a result, policy comparisons that rely on the conventional labels may no longer be appropriate, or advisable. Second, as policymakers continue to adapt, we are in effect witnessing the emergence of the next generation of renewable electricity policies, a change that could have significant impacts on investment, as well as on market growth in both developed and developing countries.

  5. Proposed guidelines for reporting performance of a solar dish/Stirling electric generation system

    SciTech Connect (OSTI)

    Stine, W.B.; Powell, M.A.

    1992-12-31

    Experimental performance data from dish/Stirling system testing can be analyzed to generate a system performance model. An approach to developing an experimentally based performance model of a dish/Stirling system is given. Two methods for analyzing the experimental data are described. To provide information that will permit comparison of dish/Stirling systems, it is necessary to define many of the details involved in calculating system performance data such as the net system output and system solar-to-electric efficiency. This paper describes a set of guidelines for these calculations, based on past experience, especially with the Vanguard dish/Stirling system. Also presented are a set of rating conditions at which a maximum value for system efficiency can be calculated. Comparison between systems of their rated peak solar-to-electric efficiency is made possible when these rating conditions are in common use by manufacturers and testing agencies.

  6. New York Renewable Electric Power Industry Statistics

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

    York Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 39,357 100.0 Total Net Summer Renewable Capacity 6,033 15.3 Geothermal - - Hydro Conventional 4,314 11.0 Solar - - Wind 1,274 3.2 Wood/Wood Waste 86 0.2 MSW/Landfill Gas 359 0.9 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 136,962 100.0 Total

  7. North Carolina Renewable Electric Power Industry Statistics

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

    Carolina Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 27,674 100.0 Total Net Summer Renewable Capacity 2,499 9.0 Geothermal - - Hydro Conventional 1,956 7.1 Solar 35 0.1 Wind - - Wood/Wood Waste 481 1.7 MSW/Landfill Gas 27 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 128,678 100.0 Total

  8. Ohio Renewable Electric Power Industry Statistics

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

    Ohio Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 33,071 100.0 Total Net Summer Renewable Capacity 231 0.7 Geothermal - - Hydro Conventional 101 0.3 Solar 13 * Wind 7 * Wood/Wood Waste 60 0.2 MSW/Landfill Gas 48 0.1 Other Biomass 2 * Generation (thousand megawatthours) Total Electricity Net Generation 143,598 100.0 Total Renewable

  9. Oregon Renewable Electric Power Industry Statistics

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

    Oregon Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,261 100.0 Total Net Summer Renewable Capacity 10,684 74.9 Geothermal - - Hydro Conventional 8,425 59.1 Solar - - Wind 2,004 14.1 Wood/Wood Waste 221 1.6 MSW/Landfill Gas 31 0.2 Other Biomass 3 * Generation (thousand megawatthours) Total Electricity Net Generation 55,127 100.0

  10. Pennsylvania Renewable Electric Power Industry Statistics

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

    Pennsylvania Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 45,575 100.0 Total Net Summer Renewable Capacity 1,984 4.4 Geothermal - - Hydro Conventional 747 1.6 Solar 9 * Wind 696 1.5 Wood/Wood Waste 108 0.2 MSW/Landfill Gas 424 0.9 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 229,752 100.0

  11. South Carolina Renewable Electric Power Industry Statistics

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

    Carolina Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 23,982 100.0 Total Net Summer Renewable Capacity 1,623 6.8 Geothermal - - Hydro Conventional 1,340 5.6 Solar - - Wind - - Wood/Wood Waste 255 1.1 MSW/Landfill Gas 29 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 104,153 100.0 Total

  12. Louisiana Renewable Electric Power Industry Statistics

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

    Louisiana Primary Renewable Energy Capacity Source Wood/Wood Waste Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,744 100.0 Total Net Summer Renewable Capacity 517 1.9 Geothermal - - Hydro Conventional 192 0.7 Solar - - Wind - - Wood/Wood Waste 311 1.2 MSW/Landfill Gas - - Other Biomass 14 0.1 Generation (thousand megawatthours) Total Electricity Net Generation 102,885 100.0 Total Renewable Net

  13. Maine Renewable Electric Power Industry Statistics

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

    Maine Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,430 100.0 Total Net Summer Renewable Capacity 1,692 38.2 Geothermal - - Hydro Conventional 738 16.6 Solar - - Wind 263 5.9 Wood/Wood Waste 600 13.6 MSW/Landfill Gas 57 1.3 Other Biomass 35 0.8 Generation (thousand megawatthours) Total Electricity Net Generation 17,019 100.0 Total

  14. Maryland Renewable Electric Power Industry Statistics

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

    Maryland Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 12,516 100.0 Total Net Summer Renewable Capacity 799 6.4 Geothermal - - Hydro Conventional 590 4.7 Solar 1 * Wind 70 0.6 Wood/Wood Waste 3 * MSW/Landfill Gas 135 1.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 43,607 100.0 Total Renewable

  15. Massachusetts Renewable Electric Power Industry Statistics

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

    Massachusetts Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 13,697 100.0 Total Net Summer Renewable Capacity 566 4.1 Geothermal - - Hydro Conventional 262 1.9 Solar 4 * Wind 10 0.1 Wood/Wood Waste 26 0.2 MSW/Landfill Gas 255 1.9 Other Biomass 9 0.1 Generation (thousand megawatthours) Total Electricity Net Generation

  16. Michigan Renewable Electric Power Industry Statistics

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

    Michigan Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 29,831 100.0 Total Net Summer Renewable Capacity 807 2.7 Geothermal - - Hydro Conventional 237 0.8 Solar - - Wind 163 0.5 Wood/Wood Waste 232 0.8 MSW/Landfill Gas 176 0.6 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 111,551 100.0 Total

  17. Minnesota Renewable Electric Power Industry Statistics

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

    Minnesota Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 14,715 100.0 Total Net Summer Renewable Capacity 2,588 17.6 Geothermal - - Hydro Conventional 193 1.3 Solar - - Wind 2,009 13.7 Wood/Wood Waste 177 1.2 MSW/Landfill Gas 134 0.9 Other Biomass 75 0.5 Generation (thousand megawatthours) Total Electricity Net Generation 53,670 100.0 Total Renewable Net

  18. Nebraska Renewable Electric Power Industry Statistics

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

    Nebraska Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,857 100.0 Total Net Summer Renewable Capacity 443 5.6 Geothermal - - Hydro Conventional 278 3.5 Solar - - Wind 154 2.0 Wood/Wood Waste - - MSW/Landfill Gas 6 0.1 Other Biomass 5 0.1 Generation (thousand megawatthours) Total Electricity Net Generation 36,630 100.0 Total Renewable

  19. Nevada Renewable Electric Power Industry Statistics

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

    Nevada Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 11,421 100.0 Total Net Summer Renewable Capacity 1,507 13.2 Geothermal 319 2.8 Hydro Conventional 1,051 9.2 Solar 137 1.2 Wind - - Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 35,146 100.0 Total

  20. New Hampshire Renewable Electric Power Industry Statistics

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

    New Hampshire Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 4,180 100.0 Total Net Summer Renewable Capacity 671 16.1 Geothermal - - Hydro Conventional 489 11.7 Solar - - Wind 24 0.6 Wood/Wood Waste 129 3.1 MSW/Landfill Gas 29 0.7 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 22,196 100.0 Total

  1. New Jersey Renewable Electric Power Industry Statistics

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

    Jersey Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 18,424 100.0 Total Net Summer Renewable Capacity 230 1.2 Geothermal - - Hydro Conventional 4 * Solar 28 0.2 Wind 8 * Wood/Wood Waste - - MSW/Landfill Gas 171 0.9 Other Biomass 20 0.1 Generation (thousand megawatthours) Total Electricity Net Generation

  2. Arizona Renewable Electric Power Industry Statistics

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

    Arizona Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 26,392 100.0 Total Net Summer Renewable Capacity 2,901 11.0 Geothermal - - Hydro Conventional 2,720 10.3 Solar 20 0.1 Wind 128 0.5 Wood/Wood Waste 29 0.1 MSW/Landfill Gas 4 * Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 111,751 100.0 Total

  3. Arkansas Renewable Electric Power Industry Statistics

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

    Arkansas Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 15,981 100.0 Total Net Summer Renewable Capacity 1,667 10.4 Geothermal - - Hydro Conventional 1,341 8.4 Solar - - Wind - - Wood/Wood Waste 312 2.0 MSW/Landfill Gas 9 0.1 Other Biomass 6 * Generation (thousand megawatthours) Total Electricity Net Generation 61,000 100.0 Total

  4. Florida Renewable Electric Power Industry Statistics

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

    Florida Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Wood/Wood Waste Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 59,222 100.0 Total Net Summer Renewable Capacity 1,182 2.0 Geothermal - - Hydro Conventional 55 0.1 Solar 123 0.2 Wind - - Wood/Wood Waste 344 0.6 MSW/Landfill Gas 491 0.8 Other Biomass 171 0.3 Generation (thousand megawatthours) Total Electricity Net Generation

  5. Georgia Renewable Electric Power Industry Statistics

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

    Georgia Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 36,636 100.0 Total Net Summer Renewable Capacity 2,689 7.3 Geothermal - - Hydro Conventional 2,052 5.6 Solar - - Wind - - Wood/Wood Waste 617 1.7 MSW/Landfill Gas 17 * Other Biomass 4 * Generation (thousand megawatthours) Total Electricity Net Generation 137,577 100.0 Total

  6. Hawaii Renewable Electric Power Industry Statistics

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

    Hawaii Primary Renewable Energy Capacity Source Other Biomass Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 2,536 100.0 Total Net Summer Renewable Capacity 340 13.4 Geothermal 31 1.2 Hydro Conventional 24 0.9 Solar 2 0.1 Wind 62 2.4 Wood/Wood Waste - - MSW/Landfill Gas 60 2.4 Other Biomass 162 6.4 Generation (thousand megawatthours) Total Electricity Net Generation 10,836 100.0 Total Renewable Net

  7. Idaho Renewable Electric Power Industry Statistics

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

    Idaho Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,990 100.0 Total Net Summer Renewable Capacity 3,140 78.7 Geothermal 10 0.3 Hydro Conventional 2,704 67.8 Solar - - Wind 352 8.8 Wood/Wood Waste 68 1.7 MSW/Landfill Gas - - Other Biomass 6 0.2 Generation (thousand megawatthours) Total Electricity Net Generation 12,025 100.0 Total

  8. Kentucky Renewable Electric Power Industry Statistics

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

    Kentucky Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 20,453 100.0 Total Net Summer Renewable Capacity 893 4.4 Geothermal - - Hydro Conventional 824 4.0 Solar - - Wind - - Wood/Wood Waste 52 0.3 MSW/Landfill Gas 17 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 98,218 100.0 Total Renewable

  9. Utah Renewable Electric Power Industry Statistics

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

    Utah Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 7,497 100.0 Total Net Summer Renewable Capacity 528 7.0 Geothermal 42 0.6 Hydro Conventional 255 3.4 Solar - - Wind 222 3.0 Wood/Wood Waste - - MSW/Landfill Gas 9 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 42,249 100.0 Total Renewable

  10. Vermont Renewable Electric Power Industry Statistics

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

    Vermont Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,128 100.0 Total Net Summer Renewable Capacity 408 36.2 Geothermal - - Hydro Conventional 324 28.7 Solar - - Wind 5 0.5 Wood/Wood Waste 76 6.7 MSW/Landfill Gas 3 0.3 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 6,620 100.0 Total Renewable

  11. Virginia Renewable Electric Power Industry Statistics

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

    Virginia Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 24,109 100.0 Total Net Summer Renewable Capacity 1,487 6.2 Geothermal - - Hydro Conventional 866 3.6 Solar - - Wind - - Wood/Wood Waste 331 1.4 MSW/Landfill Gas 290 1.2 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 72,966 100.0 Total

  12. Washington Renewable Electric Power Industry Statistics

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

    Washington Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 30,478 100.0 Total Net Summer Renewable Capacity 23,884 78.4 Geothermal - - Hydro Conventional 21,181 69.5 Solar 1 * Wind 2,296 7.5 Wood/Wood Waste 368 1.2 MSW/Landfill Gas 39 0.1 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 103,473

  13. Wisconsin Renewable Electric Power Industry Statistics

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

    Wisconsin Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 17,836 100.0 Total Net Summer Renewable Capacity 1,267 7.1 Geothermal - - Hydro Conventional 492 2.8 Solar - - Wind 449 2.5 Wood/Wood Waste 239 1.3 MSW/Landfill Gas 76 0.4 Other Biomass 12 0.1 Generation (thousand megawatthours) Total Electricity Net Generation 64,314 100.0 Total

  14. 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.

  15. Representation of the Solar Capacity Value in the ReEDS Capacity Expansion Model: Preprint

    SciTech Connect (OSTI)

    Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

    2014-08-01

    An important emerging issue is the estimation of renewables' contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to resource variability. Reliability-based methods, particularly, effective load-carrying capacity (ELCC), are considered to be the most robust techniques for addressing this resource variability. The Regional Energy Deployment System (ReEDS) capacity expansion model and other long-term electricity capacity planning models require an approach to estimating CV for generalized PV and system configurations with low computational and data requirements. In this paper we validate treatment of solar photovoltaic (PV) capacity value by ReEDS capacity expansion model by comparing model results to literature for a range of energy penetration levels. Results from the ReEDS model are found to compare well with both comparisons--despite not being resolved at an hourly scale.

  16. Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation

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

    Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation E. Ela, 1 M. Milligan, 1 A. Bloom, 1 A. Botterud, 2 A. Townsend, 1 and T. Levin 2 1 National Renewable Energy Laboratory 2 Argonne National Laboratory Technical Report NREL/TP-5D00-61765 September 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost

  17. Impact of Generator Flexibility on Electric System Costs and Integration of Renewable Energy

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

    Impact of Generator Flexibility on Electric System Costs and Integration of Renewable Energy D. Palchak and P. Denholm Technical Report NREL/TP-6A20-62275 July 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National Renewable

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

    Reports and Publications (EIA)

    2001-01-01

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

  19. United States Renewable Electric Power Industry Net Generation, by Energy Source

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

    Renewable Electric Power Industry Net Generation, by Energy Source, 2006 - 2010" "(Thousand Megawatthours)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Geothermal",14568,14637,14840,15009,15219 "Hydro Conventional",289246,247510,254831,273445,260203 "Solar",508,612,864,891,1212 "Wind",26589,34450,55363,73886,94652 "Wood/Wood Waste",38762,39014,37300,36050,37172 "MSW Biogenic/Landfill

  20. United States Total Electric Power Industry Net Generation, by Energy Source

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

    Total Electric Power Industry Net Generation, by Energy Source, 2006 - 2010" "(Thousand Megawatthours)" "United States" "Energy Source",2006,2007,2008,2009,2010 "Fossil",2885295,2992238,2926731,2726452,2883361 " Coal",1990511,2016456,1985801,1755904,1847290 " Petroleum",64166,65739,46243,38937,37061 " Natural Gas",816441,896590,882981,920979,987697 " Other Gases",14177,13453,11707,10632,11313

  1. BAE/Orion Hybrid Electric Buses at New York City Transit: A Generational Comparison

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

    BAE/Orion Hybrid Electric Buses at New York City Transit A Generational Comparison R. Barnitt Technical Report NREL/TP-540-42217 Revised March 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No.

  2. High-Efficiency Solar Cells for Large-Scale Electricity Generation & Design Considerations for the Related Optics (Presentation)

    SciTech Connect (OSTI)

    Kurtz, S.; Olson, J.; Geisz, J.; Friedman, D.; McMahon, W.; Ptak, A.; Wanlass, M.k; Kibbler, A.; Kramer, C.; Ward, S.; Duda, A.; Young, M.; Carapella, J.

    2007-09-17

    The photovoltaic industry has been growing exponentially at an average rate of about 35%/year since 1979. Recently, multijunction concentrator cell efficiencies have surpassed 40%. Combined with concentrating optics, these can be used for electricity generation.

  3. Proceedings of the Computational Needs for the Next Generation Electric Grid Workshop, April 19-20, 2011

    Broader source: Energy.gov [DOE]

    The April 2011 DOE workshop, “Computational Needs for the Next Generation Electric Grid,” brought together some of the Nation’s leading researchers and experts to identify computational challenges...

  4. Preconstruction schedules, costs, and permit requirements for electric power generating resources in the Pacific Northwest

    SciTech Connect (OSTI)

    Hendrickson, P.L.; Smith, S.A.; Thurman, A.G.; Watts, R.L.; Weakley, S.A.

    1990-07-01

    This report was prepared for the Generation Programs Branch, Office of Energy Resources, Bonneville Power Administration (BPA). The principal objective of the report is to assemble in one document preconstruction cost, schedule, and permit information for twelve specific generating resources. The report is one of many documents that provide background information for BPA's Resource Program, which is designed to identify the type and amount of new resources that BPA may have to add over the next twenty years to maintain an adequate and reliable electric power supply in the Pacific Northwest. A predecessor to this report is a 1982 report prepared by the Pacific Northwest Laboratory (PNL) for the Northwest Power Planning Council (the Council''). The 1982 report had a similar, but not identical, content and format. 306 refs., 14 figs., 22 tabs.

  5. Insidious vapors: infrared determination of NO/sub 2/ generated in a high-voltage electric arc

    SciTech Connect (OSTI)

    Carlson, E.M.; LeFevre, P.G.; Williams, R.C.

    1984-11-01

    A study of the quantities of nitrogen dioxide generated by a high-voltage electric discharge was conducted. The amount of nitrogen dioxide present was measured using infrared spectroscopy. Paraffin was used to protect the KBr sample cell from damage and NO/sub 2/. The relative toxicities of phosgene and NO/sub 2/, both generated by arcing of electrical equipment, are presented. 10 references, 2 figures, 2 tables.

  6. Potential Applications for Nuclear Energy besides Electricity Generation: AREVA Global Perspective of HTR Potential Market

    SciTech Connect (OSTI)

    Soutworth, Finis; Gauthier, Jean-Claude; Lecomte, Michel; Carre, Franck

    2007-07-01

    Energy supply is increasingly showing up as a major issue for electricity supply, transportation, settlement, and process heat industrial supply including hydrogen production. Nuclear power is part of the solution. For electricity supply, as exemplified in Finland and France, the EPR brings an immediate answer; HTR could bring another solution in some specific cases. For other supply, mostly heat, the HTR brings a solution inaccessible to conventional nuclear power plants for very high or even high temperature. As fossil fuels costs increase and efforts to avoid generation of Greenhouse gases are implemented, a market for nuclear generated process heat will develop. Following active developments in the 80's, HTR have been put on the back burner up to 5 years ago. Light water reactors are widely dominating the nuclear production field today. However, interest in the HTR technology was renewed in the past few years. Several commercial projects are actively promoted, most of them aiming at electricity production. ANTARES is today AREVA's response to the cogeneration market. It distinguishes itself from other concepts with its indirect cycle design powering a combined cycle power plant. Several reasons support this design choice, one of the most important of which is the design flexibility to adapt readily to combined heat and power applications. From the start, AREVA made the choice of such flexibility with the belief that the HTR market is not so much in competition with LWR in the sole electricity market but in the specific added value market of cogeneration and process heat. In view of the volatility of the costs of fossil fuels, AREVA's choice brings to the large industrial heat applications the fuel cost predictability of nuclear fuel with the efficiency of a high temperature heat source free of greenhouse gases emissions. The ANTARES module produces 600 MWth which can be split into the required process heat, the remaining power drives an adapted prorated electric plant. Depending on the process heat temperature and power needs, up to 80 % of the nuclear heat is converted into useful power. An important feature of the design is the standardization of the heat source, as independent as possible of the process heat application. This should expedite licensing. The essential conditions for success include: 1. Timely adapted licensing process and regulations, codes and standards for such application and design; 2. An industry oriented R and D program to meet the technological challenges making the best use of the international collaboration. Gen IV could be the vector; 3. Identification of an end user (or a consortium of) willing to fund a FOAK. (authors)

  7. Magnesium and Manganese Silicides For Efficient And Low Cost Thermo-Electric Power Generation

    SciTech Connect (OSTI)

    Trivedi, Sudhir B.; Kutcher, Susan W.; Rosemeier, Cory A.; Mayers, David; Singh, Jogender

    2013-12-02

    Thermoelectric Power Generation (TEPG) is the most efficient and commercially deployable power generation technology for harvesting wasted heat from such things as automobile exhausts, industrial furnaces, and incinerators, and converting it into usable electrical power. We investigated the materials magnesium silicide (Mg2Si) and manganese silicide (MnSi) for TEG. MgSi2 and MnSi are environmentally friendly, have constituent elements that are abundant in the earth's crust, non-toxic, lighter and cheaper. In Phase I, we successfully produced Mg2Si and MnSi material with good TE properties. We developed a novel technique to synthesize Mg2Si with good crystalline quality, which is normally very difficult due to high Mg vapor pressure and its corrosive nature. We produced n-type Mg2Si and p-type MnSi nanocomposite pellets using FAST. Measurements of resistivity and voltage under a temperature gradient indicated a Seebeck coefficient of roughly 120 V/K on average per leg, which is quite respectable. Results indicated however, that issues related to bonding resulted in high resistivity contacts. Determining a bonding process and bonding material that can provide ohmic contact from room temperature to the operating temperature is an essential part of successful device fabrication. Work continues in the development of a process for reproducibly obtaining low resistance electrical contacts.

  8. Results from the OECD report on international projections of electricity generating costs

    SciTech Connect (OSTI)

    Paffenbarger, J.A.; Bertel, E.

    1998-07-01

    The International Energy Agency and Nuclear Energy Agency of the OECD have periodically undertaken a joint study on electricity generating costs in OECD Member countries and selected non-Member countries. This paper presents key results from the 1998 update of this study. Experts from 19 countries drawn from electric utility companies and government provided data on capital costs, operating and maintenance costs, and fuel costs from which levelized electricity generating costs (US cents/kWh) for baseload power plants were estimated in each country using a common set of economic assumptions. Light water nuclear power plants, pulverized coal plants, and natural gas-fired combined cycle gas turbines were the principal options evaluated. five and 10% discount rates, 40-year operating lifetime, and 75% annual load factor were the base assumptions, with sensitivity analyses on operating lifetime and load factor. Fuel costs and fuel escalation were provided individually by country, with a sensitivity case to evaluate costs assuming no real fuel price escalation over plant lifetimes. Of the three principal fuel/technology options, none is predominantly the cheapest option for all economic assumptions. However, fossil-fueled options are generally estimated to be the least expensive option. The study confirms that gas-fired combined cycles have improved their economic performance in most countries in recent years and are strong competitors to nuclear and coal-fired plants. Eleven out of the 18 countries with two or more options show gas-fired plants to be the cheapest option at 10% discount rate. Coal remains a strong competitor to gas when lower discount rates are used. Nuclear is the least expensive at both 5 and 10% discount rate in only two countries. Generally, with gas prices above 5 US$/GJ, nuclear plants constructed at overnight capital costs below 1 650 $/kWe have the potential to be competitive only at lower discount rates.

  9. Table 8.5c Consumption of Combustible Fuels for Electricity Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.5b)

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

    5c Consumption of Combustible Fuels for Electricity Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.5b) Year Coal 1 Petroleum Natural Gas 6 Other Gases 7 Biomass Other 10 Distillate Fuel Oil 2 Residual Fuel Oil 3 Other Liquids 4 Petroleum Coke 5 Total 5 Wood 8 Waste 9 Short Tons Barrels Short Tons Barrels Thousand Cubic Feet Billion Btu Billion Btu Billion Btu Electricity-Only Plants 11<//td> 1989 767,378,330 25,574,094 241,960,194 3,460 517,385 270,124,673

  10. Life Cycle analysis data and results for geothermal and other electricity generation technologies

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

    Sullivan, John

    2013-06-04

    Life cycle analysis (LCA) is an environmental assessment method that quantifies the environmental performance of a product system over its entire lifetime, from cradle to grave. Based on a set of relevant metrics, the method is aptly suited for comparing the environmental performance of competing products systems. This file contains LCA data and results for electric power production including geothermal power. The LCA for electric power has been broken down into two life cycle stages, namely plant and fuel cycles. Relevant metrics include the energy ratio and greenhouse gas (GHG) ratios, where the former is the ratio of system input energy to total lifetime electrical energy out and the latter is the ratio of the sum of all incurred greenhouse gases (in CO2 equivalents) divided by the same energy output. Specific information included herein are material to power (MPR) ratios for a range of power technologies for conventional thermoelectric, renewables (including three geothermal power technologies), and coproduced natural gas/geothermal power. For the geothermal power scenarios, the MPRs include the casing, cement, diesel, and water requirements for drilling wells and topside piping. Also included herein are energy and GHG ratios for plant and fuel cycle stages for the range of considered electricity generating technologies. Some of this information are MPR data extracted directly from the literature or from models (eg. ICARUS a subset of ASPEN models) and others (energy and GHG ratios) are results calculated using GREET models and MPR data. MPR data for wells included herein were based on the Argonne well materials model and GETEM well count results.

  11. Life Cycle analysis data and results for geothermal and other electricity generation technologies

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

    Sullivan, John

    Life cycle analysis (LCA) is an environmental assessment method that quantifies the environmental performance of a product system over its entire lifetime, from cradle to grave. Based on a set of relevant metrics, the method is aptly suited for comparing the environmental performance of competing products systems. This file contains LCA data and results for electric power production including geothermal power. The LCA for electric power has been broken down into two life cycle stages, namely plant and fuel cycles. Relevant metrics include the energy ratio and greenhouse gas (GHG) ratios, where the former is the ratio of system input energy to total lifetime electrical energy out and the latter is the ratio of the sum of all incurred greenhouse gases (in CO2 equivalents) divided by the same energy output. Specific information included herein are material to power (MPR) ratios for a range of power technologies for conventional thermoelectric, renewables (including three geothermal power technologies), and coproduced natural gas/geothermal power. For the geothermal power scenarios, the MPRs include the casing, cement, diesel, and water requirements for drilling wells and topside piping. Also included herein are energy and GHG ratios for plant and fuel cycle stages for the range of considered electricity generating technologies. Some of this information are MPR data extracted directly from the literature or from models (eg. ICARUS a subset of ASPEN models) and others (energy and GHG ratios) are results calculated using GREET models and MPR data. MPR data for wells included herein were based on the Argonne well materials model and GETEM well count results.

  12. Life Cycle analysis data and results for geothermal and other electricity generation technologies

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

    Sullivan, John

    2013-06-04

    Life cycle analysis (LCA) is an environmental assessment method that quantifies the environmental performance of a product system over its entire lifetime, from cradle to grave. Based on a set of relevant metrics, the method is aptly suited for comparing the environmental performance of competing products systems. This file contains LCA data and results for electric power production including geothermal power. The LCA for electric power has been broken down into two life cycle stages, namely plant and fuel cycles. Relevant metrics include the energy ratio and greenhouse gas (GHG) ratios, where the former is the ratio of system input energy to total lifetime electrical energy out and the latter is the ratio of the sum of all incurred greenhouse gases (in CO2 equivalents) divided by the same energy output. Specific information included herein are material to power (MPR) ratios for a range of power technologies for conventional thermoelectric, renewables (including three geothermal power technologies), and coproduced natural gas/geothermal power. For the geothermal power scenarios, the MPRs include the casing, cement, diesel, and water requirements for drilling wells and topside piping. Also included herein are energy and GHG ratios for plant and fuel cycle stages for the range of considered electricity generating technologies. Some of this information are MPR data extracted directly from the literature or from models (eg. ICARUS – a subset of ASPEN models) and others (energy and GHG ratios) are results calculated using GREET models and MPR data. MPR data for wells included herein were based on the Argonne well materials model and GETEM well count results.

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

    SciTech Connect (OSTI)

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

    2012-04-01

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

  14. Electricity Capacity Expansion Modeling, Analysis, and Visualization. A Summary of High-Renewable Modeling Experience for China

    SciTech Connect (OSTI)

    Blair, Nate; Zhou, Ella; Getman, Dan; Arent, Douglas J.

    2015-10-01

    Mathematical and computational models are widely used for the analysis and design of both physical and financial systems. Modeling the electric grid is of particular importance to China for three reasons. First, power-sector assets are expensive and long-lived, and they are critical to any country's development. China's electric load, transmission, and other energy-related infrastructure are expected to continue to grow rapidly; therefore it is crucial to understand and help plan for the future in which those assets will operate (NDRC ERI 2015). Second, China has dramatically increased its deployment of renewable energy (RE), and is likely to continue further accelerating such deployment over the coming decades. Careful planning and assessment of the various aspects (technical, economic, social, and political) of integrating a large amount of renewables on the grid is required. Third, companies need the tools to develop a strategy for their own involvement in the power market China is now developing, and to enable a possible transition to an efficient and high RE future.

  15. Implications of Low Electricity Demand Growth

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

    etc. - From 2012-2040, electric generating capacity additions decline by about 50% ... Other Renewables Solar Wind Natural gasoil Nuclear Hydro Other Coal 0 5 10 15 20 25 30 ...

  16. Rhode Island Renewable Electric Power Industry Statistics

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

    Rhode Island Primary Renewable Energy Capacity Source Municipal Solid Waste/Landfill Gas Primary Renewable Energy Generation Source Municipal Solid Waste/Landfill Gas Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 1,782 100.0 Total Net Summer Renewable Capacity 28 1.6 Geothermal - - Hydro Conventional 3 0.2 Solar - - Wind 2 0.1 Wood/Wood Waste - - MSW/Landfill Gas 24 1.3 Other Biomass - - Generation (thousand megawatthours) Total Electricity Net

  17. California Renewable Electric Power Industry Statistics

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

    California Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 67,328 100.0 Total Net Summer Renewable Capacity 16,460 24.4 Geothermal 2,004 3.0 Hydro Conventional 10,141 15.1 Solar 475 0.7 Wind 2,812 4.2 Wood/Wood Waste 639 0.9 MSW/Landfill Gas 292 0.4 Other Biomass 97 0.1 Generation (thousand megawatthours) Total Electricity Net

  18. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    a. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per million Btu in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,1.4699,1.4799,1.53,1.57,1.58,1.57,1.61,1.63,1.68,1.69,1.7,1.72,1.7,1.76,1.79,1.81,1.88,1.92 "AEO

  19. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47

  20. Laser or charged-particle-beam fusion reactor with direct electric generation by magnetic flux compression

    DOE Patents [OSTI]

    Lasche, G.P.

    1983-09-29

    The invention is a laser or particle-beam-driven fusion reactor system which takes maximum advantage of both the very short pulsed nature of the energy release of inertial confinement fusion (ICF) and the very small volumes within which the thermonuclear burn takes place. The pulsed nature of ICF permits dynamic direct energy conversion schemes such as magnetohydrodynamic (MHD) generation and magnetic flux compression; the small volumes permit very compact blanket geometries. By fully exploiting these characteristics of ICF, it is possible to design a fusion reactor with exceptionally high power density, high net electric efficiency, and low neutron-induced radioactivity. The invention includes a compact blanket design and method and apparatus for obtaining energy utilizing the compact blanket.

  1. Methodology for comparing the health effects of electricity generation from uranium and coal fuels

    SciTech Connect (OSTI)

    Rhyne, W.R.; El-Bassioni, A.A.

    1981-12-08

    A methodology was developed for comparing the health risks of electricity generation from uranium and coal fuels. The health effects attributable to the construction, operation, and decommissioning of each facility in the two fuel cycle were considered. The methodology is based on defining (1) requirement variables for the materials, energy, etc., (2) effluent variables associated with the requirement variables as well as with the fuel cycle facility operation, and (3) health impact variables for effluents and accidents. The materials, energy, etc., required for construction, operation, and decommissioning of each fuel cycle facility are defined as primary variables. The materials, energy, etc., needed to produce the primary variable are defined as secondary requirement variables. Each requirement variable (primary, secondary, etc.) has associated effluent variables and health impact variables. A diverging chain or tree is formed for each primary variable. Fortunately, most elements reoccur frequently to reduce the level of analysis complexity. 6 references, 11 figures, 6 tables.

  2. NWTC Aerodynamics Studies Improve Energy Capture and Lower Costs of Wind-Generated Electricity

    SciTech Connect (OSTI)

    2015-08-01

    Researchers at the National Wind Technology Center (NWTC) at the National Renewable Energy Laboratory (NREL) have expanded wind turbine aerodynamic research from blade and rotor aerodynamics to wind plant and atmospheric inflow effects. The energy capture from wind plants is dependent on all of these aerodynamic interactions. Research at the NWTC is crucial to understanding how wind turbines function in large, multiple-row wind plants. These conditions impact the cumulative fatigue damage of turbine structural components that ultimately effect the useful lifetime of wind turbines. This work also is essential for understanding and maximizing turbine and wind plant energy production. Both turbine lifetime and wind plant energy production are key determinants of the cost of wind-generated electricity.

  3. Multi-attribute criteria applied to electric generation energy system analysis LDRD.

    SciTech Connect (OSTI)

    Kuswa, Glenn W.; Tsao, Jeffrey Yeenien; Drennen, Thomas E.; Zuffranieri, Jason V.; Paananen, Orman Henrie; Jones, Scott A.; Ortner, Juergen G.; Brewer, Jeffrey D.; Valdez, Maximo M.

    2005-10-01

    This report began with a Laboratory-Directed Research and Development (LDRD) project to improve Sandia National Laboratories multidisciplinary capabilities in energy systems analysis. The aim is to understand how various electricity generating options can best serve needs in the United States. The initial product is documented in a series of white papers that span a broad range of topics, including the successes and failures of past modeling studies, sustainability, oil dependence, energy security, and nuclear power. Summaries of these projects are included here. These projects have provided a background and discussion framework for the Energy Systems Analysis LDRD team to carry out an inter-comparison of many of the commonly available electric power sources in present use, comparisons of those options, and efforts needed to realize progress towards those options. A computer aid has been developed to compare various options based on cost and other attributes such as technological, social, and policy constraints. The Energy Systems Analysis team has developed a multi-criteria framework that will allow comparison of energy options with a set of metrics that can be used across all technologies. This report discusses several evaluation techniques and introduces the set of criteria developed for this LDRD.

  4. Electric-field-induced spin wave generation using multiferroic magnetoelectric cells

    SciTech Connect (OSTI)

    Cherepov, Sergiy; Khalili Amiri, Pedram; Alzate, Juan G.; Wong, Kin; Lewis, Mark; Upadhyaya, Pramey; Nath, Jayshankar; Bao, Mingqiang; Wang, Kang L.; Bur, Alexandre; Wu, Tao; Carman, Gregory P.; Khitun, Alexander

    2014-02-24

    In this work, we report on the demonstration of voltage-driven spin wave excitation, where spin waves are generated by multiferroic magnetoelectric (ME) cell transducers driven by an alternating voltage, rather than an electric current. A multiferroic element consisting of a magnetostrictive Ni film and a piezoelectric [Pb(Mg{sub 1/3}Nb{sub 2/3})O{sub 3}]{sub (1?x)}[PbTiO{sub 3}]{sub x} substrate was used for this purpose. By applying an AC voltage to the piezoelectric, an oscillating electric field is created within the piezoelectric material, which results in an alternating strain-induced magnetic anisotropy in the magnetostrictive Ni layer. The resulting anisotropy-driven magnetization oscillations propagate in the form of spin waves along a 5??m wide Ni/NiFe waveguide. Control experiments confirm the strain-mediated origin of the spin wave excitation. The voltage-driven spin wave excitation, demonstrated in this work, can potentially be used for low-dissipation spin wave-based logic and memory elements.

  5. Table 8.4b Consumption for Electricity Generation by Energy Source: Electric Power Sector, 1949-2011 (Subset of Table 8.4a; Billion Btu)

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

    b Consumption for Electricity Generation by Energy Source: Electric Power Sector, 1949-2011 (Subset of Table 8.4a; Billion Btu) Year Fossil Fuels Nuclear Electric Power 5 Renewable Energy Other 9 Electricity Net Imports 10 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 5 Biomass Geo- thermal 5 Solar/PV 5,8 Wind 5 Total Wood 6 Waste 7 1949 1,995,055 414,632 569,375 NA 2,979,062 0 1,349,185 5,803 NA NA NA NA 1,354,988 NA 5,420 4,339,470 1950 2,199,111

  6. Southeast Regional Assessment Study: an assessment of the opportunities of solar electric power generation in the Southeastern United States

    SciTech Connect (OSTI)

    1980-07-01

    The objective of this study was to identify and assess opportunities for demonstration and large scale deployment of solar electric facilities in the southeast region and to define the technical, economic, and institutional factors that can contribute to an accelerated use of solar energy for electric power generation. Graphs and tables are presented indicating the solar resource potential, siting opportunities, energy generation and use, and socioeconomic factors of the region by state. Solar electric technologies considered include both central station and dispersed solar electric generating facilities. Central stations studied include solar thermal electric, wind, photovoltaic, ocean thermal gradient, and biomass; dispersed facilities include solar thermal total energy systems, wind, and photovoltaic. The value of solar electric facilities is determined in terms of the value of conventional facilities and the use of conventional fuels which the solar facilities can replace. Suitable cost and risk sharing mechanisms to accelerate the commercialization of solar electric technologies in the Southeast are identified. The major regulatory and legal factors which could impact on the commercialization of solar facilities are reviewed. The most important factors which affect market penetration are reviewed, ways to accelerate the implementation of these technologies are identified, and market entry paths are identified. Conclusions and recommendations are presented. (WHK)

  7. High Wind Penetration Impact on U.S. Wind Manufacturing Capacity and Critical Resources

    SciTech Connect (OSTI)

    Laxson, A.; Hand, M. M.; Blair, N.

    2006-10-01

    This study used two different models to analyze a number of alternative scenarios of annual wind power capacity expansion to better understand the impacts of high levels of wind generated electricity production on wind energy manufacturing and installation rates.

  8. Application of Spatial Data Modeling and Geographical Information Systems (GIS) for Identification of Potential Siting Options for Various Electrical Generation Sources

    SciTech Connect (OSTI)

    Mays, Gary T; Belles, Randy; Blevins, Brandon R; Hadley, Stanton W; Harrison, Thomas J; Jochem, Warren C; Neish, Bradley S; Omitaomu, Olufemi A; Rose, Amy N

    2012-05-01

    Oak Ridge National Laboratory (ORNL) initiated an internal National Electric Generation Siting Study, which is an ongoing multiphase study addressing several key questions related to our national electrical energy supply. This effort has led to the development of a tool, OR-SAGE (Oak Ridge Siting Analysis for power Generation Expansion), to support siting evaluations. The objective in developing OR-SAGE was to use industry-accepted approaches and/or develop appropriate criteria for screening sites and employ an array of Geographic Information Systems (GIS) data sources at ORNL to identify candidate areas for a power generation technology application. The initial phase of the study examined nuclear power generation. These early nuclear phase results were shared with staff from the Electric Power Research Institute (EPRI), which formed the genesis and support for an expansion of the work to several other power generation forms, including advanced coal with carbon capture and storage (CCS), solar, and compressed air energy storage (CAES). Wind generation was not included in this scope of work for EPRI. The OR-SAGE tool is essentially a dynamic visualization database. The results shown in this report represent a single static set of results using a specific set of input parameters. In this case, the GIS input parameters were optimized to support an economic study conducted by EPRI. A single set of individual results should not be construed as an ultimate energy solution, since US energy policy is very complex. However, the strength of the OR-SAGE tool is that numerous alternative scenarios can be quickly generated to provide additional insight into electrical generation or other GIS-based applications. The screening process divides the contiguous United States into 100 x 100 m (1-hectare) squares (cells), applying successive power generation-appropriate site selection and evaluation criteria (SSEC) to each cell. There are just under 700 million cells representing the contiguous United States. If a cell meets the requirements of each criterion, the cell is deemed a candidate area for siting a specific power generation form relative to a reference plant for that power type. Some SSEC parameters preclude siting a power plant because of an environmental, regulatory, or land-use constraint. Other SSEC assist in identifying less favorable areas, such as proximity to hazardous operations. All of the selected SSEC tend to recommend against sites. The focus of the ORNL electrical generation source siting study is on identifying candidate areas from which potential sites might be selected, stopping short of performing any detailed site evaluations or comparisons. This approach is designed to quickly screen for and characterize candidate areas. Critical assumptions supporting this work include the supply of cooling water to thermoelectric power generation; a methodology to provide an adequate siting footprint for typical power plant applications; a methodology to estimate thermoelectric plant capacity while accounting for available cooling water; and a methodology to account for future ({approx}2035) siting limitations as population increases and demands on freshwater sources change. OR-SAGE algorithms were built to account for these critical assumptions. Stream flow is the primary thermoelectric plant cooling source evaluated in this study. All cooling was assumed to be provided by a closed-cycle cooling (CCC) system requiring makeup water to account for evaporation and blowdown. Limited evaluations of shoreline cooling and the use of municipal processed water (gray) cooling were performed. Using a representative set of SSEC as input to the OR-SAGE tool and employing the accompanying critical assumptions, independent results for the various power generation sources studied were calculated.

  9. Peculiarity of convergence of shock wave generated by underwater electrical explosion of ring-shaped wire

    SciTech Connect (OSTI)

    Shafer, D.; Toker, G. R.; Gurovich, V. Tz.; Gleizer, S.; Krasik, Ya. E.

    2013-05-15

    Nanosecond timescale underwater electrical wire explosions of ring-shaped Cu wires were investigated using a pulsed generator with a current amplitude up to 50 kA. It was shown that this type of wire explosion results in the generation of a toroidal shock wave (SW). Time- and space-resolved optical diagnostics were used to determine azimuthal uniformity of the shock wave front and its velocity. It was found that the shock wave preserves its circular front shape in the range of radii 50?m

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

    SciTech Connect (OSTI)

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

    1998-12-31

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

  11. Keeping Nuclear as a Viable Option for Electric Power Generation in the Brazilian Matrix

    SciTech Connect (OSTI)

    Henning, F.

    2004-10-06

    This paper discusses all alternatives that are part of the general solution for the electric energy problem in Brazil.

  12. President Obama Announces $2.4 Billion in Funding to Support Next Generation Electric Vehicles

    Broader source: Energy.gov [DOE]

    DOE Support for Advanced Battery Manufacturing and Electric Vehicle Deployment to Create Tens of Thousands of U.S. Jobs

  13. Generation | Department of Energy

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

    Generation Generation Southeastern’s Power Operations employees perform the tasks of declaring, scheduling, dispatching, and accounting for capacity and energy generated at the 22 hydroelectric projects in the agency’s 11-state marketing area. Southeastern has Certified System Operators, meeting the criteria set forth by the North American Electric Reliability Corporation. Southeastern's Power Operations employees perform the tasks of declaring, scheduling, dispatching, and accounting

  14. Use of High Temperature Electrochemical Cells for Co-Generation of Chemicals and Electricity

    SciTech Connect (OSTI)

    Scott Barnett

    2007-09-30

    In this project, two key issues were addressed to show the feasibility of electrochemical partial oxidation (EPOx) in a SOFC. First, it was demonstrated that SOFCs can reliably operate directly with natural gas. These results are relevant to both direct-natural-gas SOFCs, where the aim is solely electrical power generation, and to EPOx. Second, it must be shown that SOFCs can work effectively as partial oxidation reactors, i.e, that they can provide high conversion efficiency of natural gas to syngas. The results of this study in both these areas look extremely promising. The main results are summarized briefly: (1) Stability and coke-free direct-methane SOFC operation is promoted by the addition of a thin porous inert barrier layer to the anode and the addition of small amounts of CO{sub 2} or air to the fuel stream; (2) Modeling results readily explained these improvements by a change in the gas composition at the Ni-YSZ anode to a non-coking condition; (3) The operation range for coke-free operation is greatly increased by using a cell geometry with a thin Ni-YSZ anode active layer on an inert porous ceramic support, i.e., (Sr,La)TiO{sub 3} or partially-stabilized zirconia (in segmented-in-series arrays); (4) Ethane and propane components in natural gas greatly increase coking both on the SOFC anode and on gas-feed tubes, but this can be mitigated by preferentially oxidizing these components prior to introduction into the fuel cell, the addition of a small amount of air to the fuel, and/or the use of ceramic-supported SOFC; (5) While a minimum SOFC current density was generally required to prevent coking, current interruptions of up to 8 minutes yielded only slight anode coking that caused no permanent damage and was completely reversible when the cell current was resumed; (6) Stable direct-methane SOFC operation was demonstrated under EPOx conditions in a 350 h test; (7) EPOx operation was demonstrated at 750 C that yielded 0.9 W/cm{sup 2} and a syngas production rate of 30 sccm/cm{sup 2}, and the reaction product composition was close to the equilibrium prediction during the early stages of cell testing; (8) The methane conversion to syngas continuously decreased during the first 100 h of cell testing, even though the cell electrical characteristics did not change, due to a steady decrease in the reforming activity of Ni-YSZ anodes; (9) The stability of methane conversion was substantially improved via the addition of a more stable reforming catalyst to the SOFC anode; (10) Modeling results indicated that a SOFC with anode barrier provides similar non-coking performance as an internal reforming SOFC, and provides a simpler approach with no need for a high-temperature exhaust-gas recycle pump; (11) Since there is little or no heat produced in the EPOx reaction, overall efficiency of the SOFC operated in this mode can, in theory, approach 100%; and (12) The combined value of the electricity and syngas produced allows the EPOx generator to be economically viable at a >2x higher cost/kW than a conventional SOFC.

  15. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    b. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per million Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1.50 1.55 1.64 1.73 1.78 1.82 1.92 2.01 2.13 2.22 2.30 2.41 2.46 2.64 2.78 2.90 3.12 3.30 AEO 1995 1.42 1.46 1.49 1.55 1.59 1.62 1.67 1.76 1.80 1.89 1.97 2.05 2.13 2.21 2.28 2.38 2.50 AEO 1996 1.35 1.35 1.37 1.39 1.42 1.46 1.50 1.56 1.62 1.67 1.75

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

    SciTech Connect (OSTI)

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

    2011-08-11

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

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

    Buildings Energy Data Book [EERE]

    0 Top 10 U.S. States by Existing Wind Power Capacities Capacity Under Construction State (MW) (%) (MW) Texas 9,727 27% 350 Iowa 3,670 10% 0 California 2,739 7% 443 Oregon 2,095 6% 201 Washington 1,964 5% 735 Illinois 1,848 5% 587 Minnesota 1,818 5% 677 New York 1,274 3% 95 Colorado 1,248 3% 552 Indiana 1,238 3% 99 U.S. Total Note(s): Source(s): Existing Capacity 36,698 6,925 Estimates of existing capacity and capacity under construction are current as of September 2010. Does not include small

  18. DOE Awards Cooperative Agreement for Innovative Electric Generation Facility with Pre-Combustion CO2 Capture and Storage

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy has awarded a cooperative agreement to Summit Texas Clean Energy LLC for the Texas Clean Energy Project to design, build, and demonstrate an integrated gasification combined cycle electric generating facility, complete with co-production of high-value products and carbon capture and storage.

  19. ELECTRIC

    Office of Legacy Management (LM)

    you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY

  20. Florida's electric industry and solar electric technologies

    SciTech Connect (OSTI)

    Camejo, N.

    1983-12-01

    The Florida Electric Industry is in a process of diversifying its generation technology and its fuel mix. This is being done in an effort to reduce oil consumption, which in 1981 accounted for 46.5% of the electric generation by fuel type. This does not compare well with the rest of the nation where oil use is lower. New coal and nuclear units are coming on line, and probably more will be built in the near future. However, eventhough conservation efforts may delay their construction, new power plants will have to be built to accomodate the growing demand for electricity. Other alternatives being considered are renewable energy resources. The purpose of this paper is to present the results of a research project in which 10 electric utilities in Florida and the Florida Electric Power Coordinating Group rated six Solar Electric options. The Solar Electric options considered are: 1) Wind, 2) P.V., 3) Solar thermal-electric, 4) OTEC, 5) Ocean current, and 6) Biomass. The questionaire involved rating the economic and technical feasibility, as well as, the potential environmental impact of these options in Florida. It also involved rating the difficulty in overcoming institutional barriers and assessing the status of each option. A copy of the questionaire is included after the references. The combined capacity of the participating utilities represent over 90% of the total generating capacity in Florida. A list of the participating utilities is also included. This research was done in partial fulfillment for the Mater's of Science Degree in Coastal Zone Management. This paper is complementary to another paper (in these condensed conference proceedings) titled COASTAL ZONE ENERGY MANAGEMENT: A multidisciplinary approach for the integration of Solar Electric Systems with Florida's power generation system, which present a summary of the Master's thesis.

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

    SciTech Connect (OSTI)

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

    2012-07-06

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

  2. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest

    SciTech Connect (OSTI)

    Wiser, Ryan H; Wiser, Ryan H; Fripp, Matthias

    2008-05-01

    Wind power production is variable, but also has diurnal and seasonal patterns. These patterns differ between sites, potentially making electric power from some wind sites more valuable for meeting customer loads or selling in wholesale power markets. This paper investigates whether the timing of wind significantly affects the value of electricity from sites in California and the Northwestern United States. We use both measured and modeled wind data and estimate the time-varying value of wind power with both financial and load-based metrics. We find that the potential difference in wholesale market value between better-correlated and poorly correlated wind sites is modest, on the order of 5-10 percent. A load-based metric, power production during the top 10 percent of peak load hours, varies more strongly between sites, suggesting that the capacity value of different wind projects could vary by as much as 50 percent based on the timing of wind alone.

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

    Buildings Energy Data Book [EERE]

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

  4. Power System Modeling of 20% Wind-Generated Electricity by 2030 (Presentation)

    SciTech Connect (OSTI)

    Hand, M.; Blair, N.; Bolinger, M.; Wiser, R.; O'Connell, R.; Hern, T.; Miller, B.

    2008-07-01

    This presentation describes the methods used to analyze the potential for provided 20% of our nation's electricity demand with wind energy by 2030

  5. San Diego Solar Panels Generate Clean Electricity Along with Clean Water

    Broader source: Energy.gov [DOE]

    Thanks to San Diego's ambitious solar energy program, the Otay Water Treatment Plant may soon be able to do that with net zero electricity consumption.

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

    SciTech Connect (OSTI)

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

    2012-04-01

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

  7. Representation of Solar Capacity Value in the ReEDS Capacity Expansion Model

    SciTech Connect (OSTI)

    Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

    2014-03-01

    An important issue for electricity system operators is the estimation of renewables' capacity contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to the resource variability. Reliability-based methods, particularly assessment of the Effective Load-Carrying Capacity, are considered to be the most robust and widely-accepted techniques for addressing this resource variability. This report compares estimates of solar PV capacity value by the Regional Energy Deployment System (ReEDS) capacity expansion model against two sources. The first comparison is against values published by utilities or other entities for known electrical systems at existing solar penetration levels. The second comparison is against a time-series ELCC simulation tool for high renewable penetration scenarios in the Western Interconnection. Results from the ReEDS model are found to compare well with both comparisons, despite being resolved at a super-hourly temporal resolution. Two results are relevant for other capacity-based models that use a super-hourly resolution to model solar capacity value. First, solar capacity value should not be parameterized as a static value, but must decay with increasing penetration. This is because -- for an afternoon-peaking system -- as solar penetration increases, the system's peak net load shifts to later in the day -- when solar output is lower. Second, long-term planning models should determine system adequacy requirements in each time period in order to approximate LOLP calculations. Within the ReEDS model we resolve these issues by using a capacity value estimate that varies by time-slice. Within each time period the net load and shadow price on ReEDS's planning reserve constraint signals the relative importance of additional firm capacity.

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

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

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

  9. 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.

  10. Surface area generation and droplet size control in solvent extraction systems utilizing high intensity electric fields

    DOE Patents [OSTI]

    Scott, Timothy C.; Wham, Robert M.

    1988-01-01

    A method and system for solvent extraction where droplets are shattered by a high intensity electric field. These shattered droplets form a plurality of smaller droplets which have a greater combined surface area than the original droplet. Dispersion, coalescence and phase separation are accomplished in one vessel through the use of the single pulsing high intensity electric field. Electric field conditions are chosen so that simultaneous dispersion and coalescence are taking place in the emulsion formed in the electric field. The electric field creates a large amount of interfacial surface area for solvent extraction when the droplet is disintegrated and is capable of controlling droplet size and thus droplet stability. These operations take place in the presence of a counter current flow of the continuous phase.

  11. Water demands for electricity generation in the U.S.: Modeling different scenarios for the water–energy nexus

    SciTech Connect (OSTI)

    Liu, Lu; Hejazi, Mohamad I.; Patel, Pralit L.; Kyle, G. Page; Davies, Evan; Zhou, Yuyu; Clarke, Leon E.; Edmonds, James A.

    2015-05-01

    Water withdrawal for electricity generation in the United States accounts for approximately half the total freshwater withdrawal. With steadily growing electricity demands, a changing climate, and limited water supplies in many water-scarce states, meeting future energy and water demands poses a significant socio-economic challenge. Employing an integrated modeling approach that can capture the energy-water interactions at regional and national scales is essential to improve our understanding of the key drivers that govern those interactions and the role of national policies. In this study, the Global Change Assessment Model (GCAM), a technologically-detailed integrated model of the economy, energy, agriculture and land use, water, and climate systems, was extended to model the electricity and water systems at the state level in the U.S. (GCAM-USA). GCAM-USA was employed to estimate future state-level electricity generation and consumption, and their associated water withdrawals and consumption under a set of six scenarios with extensive details on the generation fuel portfolio, cooling technology mix, and their associated water use intensities. Six scenarios of future water demands of the U.S. electric-sector were explored to investigate the implications of socioeconomics development and growing electricity demands, climate mitigation policy, the transition of cooling systems, electricity trade, and water saving technologies. Our findings include: 1) decreasing water withdrawals and substantially increasing water consumption from both climate mitigation and the conversion from open-loop to closed-loop cooling systems; 2) open trading of electricity benefiting energy scarce yet demand intensive states; 3) within state variability under different driving forces while across state homogeneity under certain driving force ; 4) a clear trade-off between water consumption and withdrawal for the electricity sector in the U.S. The paper discusses this withdrawal-consumption trade-off in the context of current national policies and regulations that favor decreasing withdrawals (increasing consumptive use), and the role of water saving technologies. The highly-resolved nature of this study both geographically and technologically provides a useful platform to address scientific and policy relevant and emerging issues at the heart of the water-energy nexus in the U.S.

  12. World nuclear capacity and fuel cycle requirements, November 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-30

    This analysis report presents the current status and projections of nuclear capacity, generation, and fuel cycle requirements for all countries in the world using nuclear power to generate electricity for commercial use. Long-term projections of US nuclear capacity, generation, fuel cycle requirements, and spent fuel discharges for three different scenarios through 2030 are provided in support of the Department of Energy`s activities pertaining to the Nuclear Waste Policy Act of 1982 (as amended in 1987). The projections of uranium requirements also support the Energy Information Administration`s annual report, Domestic Uranium Mining and Milling Industry: Viability Assessment.

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

    SciTech Connect (OSTI)

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

    2005-08-30

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

  14. EIA - State Electricity Profiles

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

    Arkansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Arkansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,754 30 Electric utilities 11,526 23 IPP & CHP 3,227 29 Net generation (megawatthours) 61,592,137 24 Electric utilities 48,752,895 18 IPP & CHP 12,839,241 28 Emissions Sulfur dioxide (short tons) 89,528 15 Nitrogen oxide (short tons) 47,048 20 Carbon dioxide (thousand metric tons) 37,289 23 Sulfur dioxide (lbs/MWh) 2.9 9 Nitrogen oxide

  15. EIA - State Electricity Profiles

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

    Washington Electricity Profile 2014 Table 1. 2014 Summary statistics (Washington) Item Value Rank Primary energy source Hydroelectric Net summer capacity (megawatts) 30,949 10 Electric utilities 27,376 5 IPP & CHP 3,573 26 Net generation (megawatthours) 116,334,363 11 Electric utilities 102,294,256 5 IPP & CHP 14,040,107 24 Emissions Sulfur Dioxide (short tons) 13,716 36 Nitrogen Oxide (short tons) 18,316 40 Carbon Dioxide (thousand metric tons) 12,427 398 Sulfur Dioxide (lbs/MWh) 0.2 44

  16. EIA - State Electricity Profiles

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

    West Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,276 25 Electric utilities 11,981 21 IPP & CHP 4,295 21 Net generation (megawatthours) 81,059,577 19 Electric utilities 63,331,833 15 IPP & CHP 17,727,743 17 Emissions Sulfur Dioxide (short tons) 102,406 12 Nitrogen Oxide (short tons) 72,995 11 Carbon Dioxide (thousand metric tons) 73,606 9 Sulfur Dioxide (lbs/MWh) 2.5 14

  17. EIA - State Electricity Profiles

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

    Wisconsin Electricity Profile 2014 Table 1. 2014 Summary statistics (Wisconsin) Item Value Rank Primary Energy Source Coal Net summer capacity (megawatts) 17,166 23 Electric utilities 14,377 18 IPP & CHP 2,788 32 Net generation (megawatthours) 61,064,796 25 Electric utilities 47,301,782 20 IPP & CHP 13,763,014 26 Emissions Sulfur Dioxide (short tons) 81,239 17 Nitrogen Oxide (short tons) 39,597 27 Carbon Dioxide (thousand metric tons) 43,750 19 Sulfur Dioxide (lbs/MWh) 2.7 12 Nitrogen

  18. EIA - State Electricity Profiles

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

    Wyoming Electricity Profile 2014 Table 1. 2014 Summary statistics (Wyoming) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,458 37 Electric utilities 7,233 32 IPP & CHP 1,225 43 Net generation (megawatthours) 49,696,183 32 Electric utilities 45,068,982 23 IPP & CHP 4,627,201 41 Emissions Sulfur Dioxide (short tons) 45,704 24 Nitrogen Oxide (short tons) 49,638 18 Carbon Dioxide (thousand metric tons) 47,337 17 Sulfur Dioxide (lbs/MWh) 1.8 22 Nitrogen Oxide

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Arizona Electricity Profile 2014 Table 1. 2014 Summary statistics (Arizona) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 28,249 13 Electric utilities 21,311 11 IPP & CHP 6,938 17 Net generation (megawatthours) 112,257,187 13 Electric utilities 94,847,135 8 IPP & CHP 17,410,053 19 Emissions Sulfur dioxide (short tons) 22,597 32 Nitrogen oxide (short tons) 56,726 17 Carbon dioxide (thousand metric tons) 53,684 16 Sulfur dioxide (lbs/MWh) 0.4 41 Nitrogen oxide

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    California Electricity Profile 2014 Table 1. 2014 Summary statistics (California) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 74,646 2 Electric utilities 28,201 4 IPP & CHP 46,446 2 Net generation (megawatthours) 198,807,622 5 Electric utilities 71,037,135 14 IPP & CHP 127,770,487 4 Emissions Sulfur dioxide (short tons) 3,102 46 Nitrogen oxide (short tons) 98,348 5 Carbon dioxide (thousand metric tons) 57,223 14 Sulfur dioxide (lbs/MWh) 0.0 49

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Colorado Electricity Profile 2014 Table 1. 2014 Summary statistics (Colorado) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,933 29 Electric utilities 10,204 28 IPP & CHP 4,729 18 Net generation (megawatthours) 53,847,386 30 Electric utilities 43,239,615 26 IPP & CHP 10,607,771 30 Emissions Sulfur dioxide (short tons) 28,453 30 Nitrogen oxide (short tons) 44,349 24 Carbon dioxide (thousand metric tons) 38,474 22 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Connecticut Electricity Profile 2014 Table 1. 2014 Summary statistics (Connecticut) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 8,832 35 Electric utilities 161 45 IPP & CHP 8,671 12 Net generation (megawatthours) 33,676,980 38 Electric utilities 54,693 45 IPP & CHP 33,622,288 11 Emissions Sulfur dioxide (short tons) 1,897 47 Nitrogen oxide (short tons) 8,910 45 Carbon dioxide (thousand metric tons) 7,959 41 Sulfur dioxide (lbs/MWh) 0.1 46 Nitrogen oxide

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Delaware Electricity Profile 2014 Table 1. 2014 Summary statistics (Delaware) Item Value U.S. rank Primary energy source Natural gas Net summer capacity (megawatts) 3,086 46 Electric utilities 102 46 IPP & CHP 2,984 31 Net generation (megawatthours) 7,703,584 47 Electric utilities 49,050 46 IPP & CHP 7,654,534 35 Emissions Sulfur dioxide (short tons) 824 48 Nitrogen oxide (short tons) 2,836 48 Carbon dioxide (thousand metric tons) 4,276 43 Sulfur dioxide (lbs/MWh) 0.2 45 Nitrogen oxide

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    District of Columbia Electricity Profile 2014 Table 1. 2014 Summary statistics (District of Columbia) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 9 51 Electric utilities IPP & CHP 9 51 Net generation (megawatthours) 67,612 51 Electric utilities IPP & CHP 67,612 51 Emissions Sulfur dioxide (short tons) 0 51 Nitrogen oxide (short tons) 147 51 Carbon dioxide (thousand metric tons) 48 50 Sulfur dioxide (lbs/MWh) 0.0 51 Nitrogen oxide (lbs/MWh) 4.3 3

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Florida Electricity Profile 2014 Table 1. 2014 Summary statistics (Florida) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 59,440 3 Electric utilities 51,775 1 IPP & CHP 7,665 15 Net generation (megawatthours) 230,015,937 2 Electric utilities 211,970,587 1 IPP & CHP 18,045,350 15 Emissions Sulfur dioxide (short tons) 126,600 10 Nitrogen oxide (short tons) 91,356 6 Carbon dioxide (thousand metric tons) 111,549 2 Sulfur dioxide (lbs/MWh) 1.1 30 Nitrogen

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Georgia Electricity Profile 2014 Table 1. 2014 Summary statistics (Georgia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 38,250 7 Electric utilities 28,873 3 IPP & CHP 9,377 10 Net generation (megawatthours) 125,837,224 10 Electric utilities 109,523,336 4 IPP & CHP 16,313,888 20 Emissions Sulfur dioxide (short tons) 105,998 11 Nitrogen oxide (short tons) 58,144 14 Carbon dioxide (thousand metric tons) 62,516 12 Sulfur dioxide (lbs/MWh) 1.7 24 Nitrogen oxide

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hawaii Electricity Profile 2014 Table 1. 2014 Summary statistics (Hawaii) Item Value Rank Primary energy source Petroleum Net summer capacity (megawatts) 2,672 47 Electric utilities 1,732 40 IPP & CHP 939 45 Net generation (megawatthours) 10,204,158 46 Electric utilities 5,517,389 39 IPP & CHP 4,686,769 40 Emissions Sulfur dioxide (short tons) 21,670 33 Nitrogen oxide (short tons) 26,928 31 Carbon dioxide (thousand metric tons) 7,313 42 Sulfur dioxide (lbs/MWh) 4.2 4 Nitrogen oxide

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Illinois Electricity Profile 2014 Table 1. 2014 Summary statistics (Illinois) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 44,727 4 Electric utilities 5,263 35 IPP & CHP 39,464 4 Net generation (megawatthours) 202,143,878 4 Electric utilities 10,457,398 36 IPP & CHP 191,686,480 3 Emissions Sulfur dioxide (short tons) 187,536 6 Nitrogen oxide (short tons) 58,076 15 Carbon dioxide (thousand metric tons) 96,624 6 Sulfur dioxide (lbs/MWh) 1.9 20 Nitrogen

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Indiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Indiana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 27,499 14 Electric utilities 23,319 7 IPP & CHP 4,180 23 Net generation (megawatthours) 115,395,392 12 Electric utilities 100,983,285 6 IPP & CHP 14,412,107 22 Emissions Sulfur dioxide (short tons) 332,396 3 Nitrogen oxide (short tons) 133,412 3 Carbon dioxide (thousand metric tons) 103,391 3 Sulfur dioxide (lbs/MWh) 5.8 1 Nitrogen oxide

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Iowa Electricity Profile 2014 Table 1. 2014 Summary statistics (Iowa) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,507 24 Electric utilities 12,655 20 IPP & CHP 3,852 25 Net generation (megawatthours) 56,853,282 28 Electric utilities 43,021,954 27 IPP & CHP 13,831,328 25 Emissions Sulfur dioxide (short tons) 74,422 19 Nitrogen oxide (short tons) 41,793 25 Carbon dioxide (thousand metric tons) 39,312 21 Sulfur dioxide (lbs/MWh) 2.6 13 Nitrogen oxide

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kansas Electricity Profile 2014 Table 1. 2014 Summary statistics (Kansas) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 14,227 31 Electric utilities 11,468 24 IPP & CHP 2,759 33 Net generation (megawatthours) 49,728,363 31 Electric utilities 39,669,629 29 IPP & CHP 10,058,734 31 Emissions Sulfur dioxide (short tons) 31,550 29 Nitrogen oxide (short tons) 29,014 29 Carbon dioxide (thousand metric tons) 31,794 29 Sulfur dioxide (lbs/MWh) 1.3 29 Nitrogen oxide

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Kentucky Electricity Profile 2014 Table 1. 2014 Summary statistics (Kentucky) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,878 21 Electric utilities 19,473 15 IPP & CHP 1,405 40 Net generation (megawatthours) 90,896,435 17 Electric utilities 90,133,403 10 IPP & CHP 763,032 49 Emissions Sulfur dioxide (short tons) 204,873 5 Nitrogen oxide (short tons) 89,253 7 Carbon dioxide (thousand metric tons) 85,795 7 Sulfur dioxide (lbs/MWh) 4.5 3 Nitrogen oxide

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Louisiana Electricity Profile 2014 Table 1. 2014 Summary statistics (Louisiana) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 26,657 15 Electric utilities 18,120 16 IPP & CHP 8,537 13 Net generation (megawatthours) 104,229,402 15 Electric utilities 58,518,271 17 IPP & CHP 45,711,131 8 Emissions Sulfur dioxide (short tons) 96,240 14 Nitrogen oxide (short tons) 83,112 8 Carbon dioxide (thousand metric tons) 57,137 15 Sulfur dioxide (lbs/MWh) 1.8 21

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maine Electricity Profile 2014 Table 1. 2014 Summary statistics (Maine) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 4,470 43 Electric utilities 10 49 IPP & CHP 4,460 20 Net generation (megawatthours) 13,248,710 44 Electric utilities 523 49 IPP & CHP 13,248,187 27 Emissions Sulfur dioxide (short tons) 10,990 38 Nitrogen oxide (short tons) 8,622 46 Carbon dioxide (thousand metric tons) 3,298 46 Sulfur dioxide (lbs/MWh) 1.7 25 Nitrogen oxide (lbs/MWh)

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Maryland Electricity Profile 2014 Table 1. 2014 Summary statistics (Maryland) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 12,264 33 Electric utilities 85 47 IPP & CHP 12,179 8 Net generation (megawatthours) 37,833,652 35 Electric utilities 20,260 47 IPP & CHP 37,813,392 9 Emissions Sulfur dioxide (short tons) 41,370 26 Nitrogen oxide (short tons) 20,626 35 Carbon dioxide (thousand metric tons) 20,414 34 Sulfur dioxide (lbs/MWh) 2.2 18 Nitrogen oxide

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Massachusetts Electricity Profile 2014 Table 1. 2014 Summary statistics (Massachusetts) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 13,128 32 Electric utilities 971 42 IPP & CHP 12,157 9 Net generation (megawatthours) 31,118,591 40 Electric utilities 679,986 43 IPP & CHP 30,438,606 12 Emissions Sulfur dioxide (short tons) 6,748 41 Nitrogen oxide (short tons) 13,831 43 Carbon dioxide (thousand metric tons) 12,231 39 Sulfur dioxide (lbs/MWh) 0.4 40

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Michigan Electricity Profile 2014 Table 1. 2014 Summary statistics (Michigan) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,435 12 Electric utilities 22,260 9 IPP & CHP 8,175 14 Net generation (megawatthours) 106,816,991 14 Electric utilities 84,075,322 12 IPP & CHP 22,741,669 13 Emissions Sulfur dioxide (short tons) 173,521 7 Nitrogen oxide (short tons) 77,950 9 Carbon dioxide (thousand metric tons) 64,062 11 Sulfur dioxide (lbs/MWh) 3.2 7 Nitrogen oxide

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Electricity Profile 2014 Table 1. 2014 Summary statistics (Minnesota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 15,621 28 Electric utilities 11,557 22 IPP & CHP 4,064 24 Net generation (megawatthours) 56,998,330 27 Electric utilities 45,963,271 22 IPP & CHP 11,035,059 29 Emissions Sulfur dioxide (short tons) 39,272 27 Nitrogen oxide (short tons) 38,373 28 Carbon dioxide (thousand metric tons) 32,399 28 Sulfur dioxide (lbs/MWh) 1.4 27 Nitrogen

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mississippi Electricity Profile 2014 Table 1. 2014 Summary statistics (Mississippi) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 16,090 26 Electric utilities 13,494 19 IPP & CHP 2,597 34 Net generation (megawatthours) 55,127,092 29 Electric utilities 47,084,382 21 IPP & CHP 8,042,710 34 Emissions Sulfur dioxide (short tons) 101,093 13 Nitrogen oxide (short tons) 23,993 32 Carbon dioxide (thousand metric tons) 24,037 33 Sulfur dioxide (lbs/MWh) 3.7 5

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Missouri Electricity Profile 2014 Table 1. 2014 Summary statistics (Missouri) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 21,790 19 Electric utilities 20,538 13 IPP & CHP 1,252 42 Net generation (megawatthours) 87,834,468 18 Electric utilities 85,271,253 11 IPP & CHP 2,563,215 46 Emissions Sulfur dioxide (short tons) 149,842 9 Nitrogen oxide (short tons) 77,749 10 Carbon dioxide (thousand metric tons) 75,735 8 Sulfur dioxide (lbs/MWh) 3.4 6 Nitrogen oxide

  1. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Montana Electricity Profile 2014 Table 1. 2014 Summary statistics (Montana) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,330 41 Electric utilities 3,209 38 IPP & CHP 3,121 30 Net generation (megawatthours) 30,257,616 41 Electric utilities 12,329,411 35 IPP & CHP 17,928,205 16 Emissions Sulfur dioxide (short tons) 14,426 34 Nitrogen oxide (short tons) 20,538 36 Carbon dioxide (thousand metric tons) 17,678 36 Sulfur dioxide (lbs/MWh) 1.0 34 Nitrogen oxide

  2. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nebraska Electricity Profile 2014 Table 1. 2014 Summary statistics (Nebraska) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 8,732 36 Electric utilities 7,913 30 IPP & CHP 819 46 Net generation (megawatthours) 39,431,291 34 Electric utilities 36,560,960 30 IPP & CHP 2,870,331 45 Emissions Sulfur dioxide (short tons) 63,994 22 Nitrogen oxide (short tons) 27,045 30 Carbon dioxide (thousand metric tons) 26,348 31 Sulfur dioxide (lbs/MWh) 3.2 8 Nitrogen oxide

  3. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Nevada Electricity Profile 2014 Table 1. 2014 Summary statistics (Nevada) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 10,485 34 Electric utilities 8,480 29 IPP & CHP 2,006 35 Net generation (megawatthours) 36,000,537 37 Electric utilities 27,758,728 33 IPP & CHP 8,241,809 33 Emissions Sulfur dioxide (short tons) 10,229 40 Nitrogen oxide (short tons) 18,606 39 Carbon dioxide (thousand metric tons) 16,222 37 Sulfur dioxide (lbs/MWh) 0.4 38 Nitrogen

  4. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Hampshire Electricity Profile 2013 Table 1. 2013 Summary statistics (New Hampshire) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 4,413 44 Electric utilities 1,121 41 IPP & CHP 3,292 30 Net generation (megawatthours) 19,778,520 42 Electric utilities 2,266,903 41 IPP & CHP 17,511,617 20 Emissions Sulfur dioxide (short tons) 3,733 44 Nitrogen oxide (short tons) 5,057 47 Carbon dioxide (thousand metric tons) 3,447 46 Sulfur dioxide (lbs/MWh) 0.4 45 Nitrogen

  5. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Jersey Electricity Profile 2014 Table 1. 2014 Summary statistics (New Jersey) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 19,399 22 Electric utilities 544 43 IPP & CHP 18,852 7 Net generation (megawatthours) 68,051,086 23 Electric utilities -117,003 50 IPP & CHP 68,168,089 7 Emissions Sulfur dioxide (short tons) 3,369 44 Nitrogen oxide (short tons) 15,615 41 Carbon dioxide (thousand metric tons) 17,905 35 Sulfur dioxide (lbs/MWh) 0.1 47 Nitrogen oxide

  6. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Mexico Electricity Profile 2014 Table 1. 2014 Summary statistics (New Mexico) Item Value U.S. Rank Primary energy source Coal Net summer capacity (megawatts) 8,072 39 Electric utilities 6,094 33 IPP & CHP 1,978 37 Net generation (megawatthours) 32,306,210 39 Electric utilities 26,422,867 34 IPP & CHP 5,883,343 38 Emissions Sulfur dioxide (short tons) 12,064 37 Nitrogen oxide (short tons) 46,192 22 Carbon dioxide (thousand metric tons) 24,712 32 Sulfur dioxide (lbs/MWh) 0.7 37 Nitrogen

  7. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    York Electricity Profile 2014 Table 1. 2014 Summary statistics (New York) Item Value Rank Primary energy source Natural Gas Net summer capacity (megawatts) 40,404 6 Electric utilities 10,989 27 IPP & CHP 29,416 5 Net generation (megawatthours) 137,122,202 7 Electric utilities 34,082 31 IPP & CHP 103,039,347 5 Emissions Sulfur dioxide (short tons) 31,878 28 Nitrogen oxide (short tons) 46,971 21 Carbon dioxide (thousand metric tons) 33,240 26 Sulfur dioxide (lbs/MWh) 0.5 39 Nitrogen oxide

  8. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2013 Table 1. 2013 Summary statistics (North Carolina) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 30,048 12 Electric utilities 26,706 6 IPP & CHP 3,342 29 Net generation (megawatthours) 125,936,293 9 Electric utilities 116,317,050 2 IPP & CHP 9,619,243 31 Emissions Sulfur dioxide (short tons) 71,293 20 Nitrogen oxide (short tons) 62,397 12 Carbon dioxide (thousand metric tons) 56,940 14 Sulfur dioxide (lbs/MWh) 1.1 32 Nitrogen

  9. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Dakota Electricity Profile 2013 Table 1. 2013 Summary statistics (North Dakota) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 6,566 40 Electric utilities 5,292 34 IPP & CHP 1,274 41 Net generation (megawatthours) 35,021,673 39 Electric utilities 31,044,374 32 IPP & CHP 3,977,299 42 Emissions Sulfur dioxide (short tons) 56,854 23 Nitrogen oxide (short tons) 48,454 22 Carbon dioxide (thousand metric tons) 30,274 28 Sulfur dioxide (lbs/MWh) 3.2 11 Nitrogen oxide

  10. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Ohio Electricity Profile 2014 Table 1. 2014 Summary statistics (Ohio) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 31,507 9 Electric utilities 11,134 26 IPP & CHP 20,372 6 Net generation (megawatthours) 134,476,405 8 Electric utilities 43,290,512 25 IPP & CHP 91,185,893 7 Emissions Sulfur dioxide (short tons) 355,108 1 Nitrogen oxide (short tons) 105,688 4 Carbon dioxide (thousand metrictons) 98,650 5 Sulfur dioxide (lbs/MWh) 5.3 2 Nitrogen oxide (lbs/MWh)

  11. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Oklahoma Electricity Profile 2014 Table 1. 2014 Summary statistics (Oklahoma) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 24,048 17 Electric utilities 17,045 17 IPP & CHP 7,003 16 Net generation (megawatthours) 70,155,504 22 Electric utilities 48,096,026 19 IPP & CHP 22,059,478 14 Emissions Sulfur dioxide 78,556 18 Nitrogen oxide 44,874 23 Carbon dioxide (thousand metric tons) 43,994 18 Sulfur dioxide (lbs/MWh) 2.2 17 Nitrogen oxide (lbs/MWh) 1.3 26

  12. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Pennsylvania Electricity Profile 2014 Table 1. 2014 Summary statistics (Pennsylvania) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 42,723 5 Electric utilities 39 48 IPP & CHP 42,685 3 Net generation (megawatthours) 221,058,365 3 Electric utilities 90,994 44 IPP & CHP 220,967,371 2 Emissions Sulfur dioxide (short tons) 297,598 4 Nitrogen oxide (short tons) 141,486 2 Carbon dioxide (thousand metric tons) 101,361 4 Sulfur dioxide (lbs/MWh) 2.7 11 Nitrogen oxide

  13. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Rhode Island Electricity Profile 2014 Table 1. 2014 Summary statistics (Rhode Island) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 1,810 49 Electric utilities 8 50 IPP & CHP 1,803 38 Net generation (megawatthours) 6,281,748 49 Electric utilities 10,670 48 IPP & CHP 6,271,078 36 Emissions Sulfur dioxide (short tons) 100 49 Nitrogen oxide (short tons) 1,224 49 Carbon dioxide (thousand metric tons) 2,566 48 Sulfur dioxide (lbs/MWh) 0.0 48 Nitrogen oxide

  14. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Carolina Electricity Profile 2014 Table 1. 2014 Summary statistics (South Carolina) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 22,824 18 Electric utilities 20,836 12 IPP & CHP 1,988 36 Net generation (megawatthours) 97,158,465 16 Electric utilities 93,547,004 9 IPP & CHP 3,611,461 43 Emissions Sulfur dioxide (short tons) 43,659 25 Nitrogen oxide (short tons) 21,592 34 Carbon dioxide (thousand metric tons) 33,083 27 Sulfur dioxide (lbs/MWh) 0.9 35

  15. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Tennessee Electricity Profile 2014 Table 1. 2014 Summary statistics (Tennessee) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 20,998 20 Electric utilities 20,490 14 IPP & CHP 508 47 Net generation (megawatthours) 79,506,886 20 Electric utilities 76,986,629 13 IPP & CHP 2,520,257 47 Emissions Sulfur dioxide (short tons) 89,357 16 Nitrogen oxide (short tons) 23,913 33 Carbon dioxide (thousand metric tons) 41,405 20 Sulfur dioxide (lbs/MWh) 2.2 16 Nitrogen oxide

  16. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Texas Electricity Profile 2014 Table 1. 2014 Summary statistics (Texas) Item Value Rank Primary energy source Natural gas Net summer capacity (megawatts) 112,914 1 Electric utilities 29,113 2 IPP & CHP 83,800 1 Net generation (megawatthours) 437,629,668 1 Electric utilities 94,974,953 7 IPP & CHP 342,654,715 1 Emissions Sulfur Dioxide (short tons) 349,245 2 Nitrogen Oxide short tons) 229,580 1 Carbon Dioxide (thousand metric tons) 254,488 1 Sulfur Dioxide (lbs/MWh) 1.6 26 Nitrogen Oxide

  17. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    United States Electricity Profile 2014 Table 1. 2014 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,068,422 Electric utilities 616,632 IPP & CHP 451,791 Net generation (megawatthours) 4,093,606,005 Electric utilities 2,382,473,495 IPP & CHP 1,711,132,510 Emissions Sulfur Dioxide (short tons) 3,842,005 Nitrogen Oxide (short tons) 2,400,375 Carbon Dioxide (thousand metric tons) 2,160,342 Sulfur Dioxide (lbs/MWh) 1.9 Nitrogen Oxide

  18. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Vermont Electricity Profile 2014 Table 1. 2014 Summary statistics (Vermont) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 650 50 Electric utilities 337 44 IPP & CHP 313 49 Net generation (megawatthours) 7,031,394 48 Electric utilities 868,079 42 IPP & CHP 6,163,315 37 Emissions Sulfur Dioxide (short tons) 71 50 Nitrogen Oxide (short tons) 737 50 Carbon Dioxide (thousand metric tons) 14 51 Sulfur Dioxide (lbs/MWh) 0.0 50 Nitrogen Oxide (lbs/MWh) 0.2 51

  19. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (Virginia) Item Value Rank Primary energy source Nuclear Net summer capacity (megawatts) 26,292 16 Electric utilities 22,062 10 IPP & CHP 4,231 22 Net generation (megawatthours) 77,137,438 21 Electric utilities 62,966,914 16 IPP & CHP 14,170,524 23 Emissions Sulfur Dioxide (short tons) 68,550 20 Nitrogen Oxide (short tons) 40,656 26 Carbon Dioxide (thousand metric tons) 33,295 25 Sulfur Dioxide (lbs/MWh) 1.8 23 Nitrogen

  20. EIA - State Electricity Profiles

    Gasoline and Diesel Fuel Update (EIA)

    West Virginia Electricity Profile 2014 Table 1. 2014 Summary statistics (West Virginia) Item Value Rank Primary energy source Coal Net summer capacity (megawatts) 16,276 25 Electric utilities 11,981 21 IPP & CHP 4,295 21 Net generation (megawatthours) 81,059,577 19 Electric utilities 63,331,833 15 IPP & CHP 17,727,743 17 Emissions Sulfur Dioxide (short tons) 102,406 12 Nitrogen Oxide (short tons) 72,995 11 Carbon Dioxide (thousand metric tons) 73,606 9 Sulfur Dioxide (lbs/MWh) 2.5 14