National Library of Energy BETA

Sample records for analysis system sas

  1. The SAS4A/SASSYS-1 Safety Analysis Code System

    Energy Science and Technology Software Center (OSTI)

    2012-01-31

    SAS4A/SASSYS-1 is a software simulation tool used to perform deterministic safety analysis of anticipated events as well as design basis and beyond design basis accidents for advanced nuclear reactors. This software can be used to assess the safety of a prescribed reactor design, but it cannot be used to configure a design to meet targeted performance objectives. Detailed, mechanistic models of steady-state and transient thermal,hydraulic, kinetic, and mechanical phenomena are employed to describe the responsemore » of the reactor core, the reactor primary and secondary coolant loops, the reactor control and protection systems and the balance-of-plant to accidents caused by changes in coolantflow, oss of heat rejection, or reactivity insertion. The consequences of single and double-fault accidents can be modeled, including fuel and coolant heating, fuel and cladding mechanical behavior, core reactivity feedbacks, coolant loop performance including natural circulation, and decay heat removal. Analyses are typically terminated upon demonstration of reactor and plant shutdown to permanently coolable conditions or upon violation of design basis margins. The objective of the analysis is to quantify accident consequences as measured by the transient behavior of system performance parameters, such as fuel and cladding temperatures, reactivity, and cladding strain. Originally developed for analysis of sodium cooled reactors with oxide fuel clad by stainless steel, the models In SAS4A/SASSYS-1 were subsequently extended and specialized to metallic fuel clad with advanced alloys and to several other coolant options including lead and LBE. METHOD OF SOLUTION: Each subassembly in the reactor core is represented with single or multiple-pin models. One channel represents one or more fuel pins and many channels are employed for a whole-core representation. Heat transfer in each pin is modeled with a two-dimensional (r/z) heat conduction equation. Single and two-phase coolant

  2. Sunvie SAS | Open Energy Information

    Open Energy Info (EERE)

    Sunvie SAS Jump to: navigation, search Name: Sunvie SAS Place: Montrouge, France Zip: 92120 Product: Installs commercial PV systems on a turnkey basis. References: Sunvie SAS1...

  3. Exosun Sas | Open Energy Information

    Open Energy Info (EERE)

    Sas Place: Martillac, France Zip: 33650 Sector: Solar Product: The company manufactures solar trackers and acts as system integrator for PV plants. It is also developing its own...

  4. Battlefield Utility of Antipersonnel Landmines and Proposed Alternatives (Analysis in Support of the NATO SAS-023 APM Study)

    SciTech Connect (OSTI)

    Crandley, J F; Greenwalt, R J; Magnoli, D E; Randazzo, A S

    2002-02-05

    This study consists of work done in support of the U.S. delegation to the NATO SAS-023 Antipersonnel Landmine Study Group, supplemented by additional work done for the U.S. Office of the Secretary of Defense Antipersonnel Landmine Alternative Concept Exploration Program (Track III). It explores the battlefield utility of current antipersonnel landmines (APL) in both pure and mixed APL/antitank minefields and evaluates the value of military suggested non-materiel alternatives. The historical record is full of examples where the presence (or absence) of antipersonnel landmines made a critical difference in battle. The current generation of military thinkers and writers lack any significant combat experience employing either mixed or antipersonnel minefields, which leaves a critical gap in available expert advice for policy and decision-makers. Because of this lack of experienced-based professional military knowledge, Lawrence Livermore National Laboratory analyzed the employment of antipersonnel landmines in tactical mixed minefields and in protective antipersonnel minefields. The scientific method was employed where hypotheses were generated from the tactics and doctrine of the antipersonnel landmine era and tested in a simulation laboratory. A high-resolution, U.S. Joint Forces Command combat simulation model (the Joint Conflict and Tactical Simulation--JCATS) was used as the laboratory instrument. A realistic European scenario was obtained from a multi-national USAREUR exercise and was approved by the SAS-023 panel members. Additional scenarios were provided by U.S. CINC conferences and were based on Southwest Asia and Northeast Asia. Weapons data was obtained from the U.S. family of Joint Munitions Effectiveness Manuals. The U.S. Army Materiel Systems Analysis Agency conducted a limited verification and validation assessment of JCATS for purposes of this study.

  5. Apollon Solar SAS | Open Energy Information

    Open Energy Info (EERE)

    of new solar technologies and marketing strategies aiming at reducing costs for photovoltaic energy systems for the end user. References: Apollon Solar SAS1 This article is a...

  6. SAS4A/SASSYS-1: Fast Reactor Safety Analysis Code | Argonne National...

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

    The original code development was for sodium-cooled fast reactors, and sodium boiling can be modeled. However, basic core thermal-hydraulics and systems analysis features are ...

  7. SAS Output

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

    Flue Gas Desulfurization Systems Electrostatic Precipitators Baghouses Select Catalytic and Non-Catalytic Reduction Systems Activated Carbon Injection Systems Direct Sorbent ...

  8. SAS Output

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

    3. Quantity and Net Summer Capacity of Operable Cooling Systems, by Energy Source and Cooling System Type, 2004 - 2014 Once-Through Cooling Systems Recirculating Cooling Systems Cooling Ponds Dry Cooling Systems Hybrid Wet and Dry Cooling Systems Other Cooling System Types Energy Source Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer Capacity (MW) Quantity Associated Net Summer

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    ... equal to Internal Demand less Direct Control Load Management and Interruptible Demand. ... Capacity Margin is the amount of unused available capability of an electric power system at ...

  10. SAS Output

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

    1. Sulfur Dioxide Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Tangential Firing Boiler All Other Boiler Types Combustion Turbine Internal Combustion Engine Distillate Fuel Oil* DFO Source: 2, Table 3.1-2a, 3.4-1 & 1.3-1 Lbs per MG

  11. SAS Output

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

    2. Nitrogen Oxides Uncontrolled Emission Factors Fuel, Code, Source and Emission Units Combustion System Type / Firing Configuration Tangential Boiler All Other Boiler Types Fuel EIA Fuel Code Source and Tables (As Appropriate) Emissions Units Lbs = Pounds MMCF = Million Cubic Feet MG = Thousand Gallons Cyclone Firing Boiler Fluidized Bed Firing Boiler Stoker Boiler Dry-Bottom Boilers Wet-Bottom Boilers Dry-Bottom Boilers Wet-Bottom Boilers Combustion Turbine Internal Combustion Engine

  12. Viveole SAS | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: Viveole SAS Place: France Product: Company involved in electricity generation. References: Viveole SAS1 This article is a stub. You can help...

  13. Windcap Energy SAS Hydrocap | Open Energy Information

    Open Energy Info (EERE)

    Windcap Energy SAS Hydrocap Jump to: navigation, search Name: Windcap Energy SAS Hydrocap Region: France Sector: Marine and Hydrokinetic Website: http: This company is listed in...

  14. HYDROCAP ENERGY SAS | Open Energy Information

    Open Energy Info (EERE)

    HYDROCAP ENERGY SAS Jump to: navigation, search Name: HYDROCAP ENERGY SAS Address: 65 Place Nicolas Copernic Technopole Brest Iroise Place: Plozane Zip: 29280 Region: France...

  15. Nass Wind SAS | Open Energy Information

    Open Energy Info (EERE)

    Nass Wind SAS Jump to: navigation, search Name: Nass & Wind SAS Place: PL'MEUR, France Zip: 56270 Sector: Renewable Energy, Wind energy Product: Ploemeur-based renewable energy...

  16. P Energy SAS | Open Energy Information

    Open Energy Info (EERE)

    Energy SAS Jump to: navigation, search Name: P.Energy SAS Place: Padova, Italy Product: Produces complete assembly lines for PV modules. Coordinates: 45.409285, 11.872849 Show...

  17. Ehw Research SAS | Open Energy Information

    Open Energy Info (EERE)

    Ehw-Research SAS Place: La Seyne sur Mer, France Zip: 83500 Product: France-based photovoltaic research company. The firm also produces PV junction boxes. References:...

  18. Sino American Silicon Products Inc SAS | Open Energy Information

    Open Energy Info (EERE)

    Sino American Silicon Products Inc SAS Jump to: navigation, search Name: Sino-American Silicon Products Inc (SAS) Place: Hsinchu, Taiwan, Taiwan Product: Taiwan-based manufacturer...

  19. Workplace Charging Challenge Partner: SAS Institute | Department...

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

    Eco-Commuter parking includes 100 designated PEV spaces with access to 48 charging stations. SAS provides free charging for all employees and visitors. At the beginning of 2014, ...

  20. Quality assurance management plan (QAPP) special analytical support (SAS)

    SciTech Connect (OSTI)

    LOCKREM, L.L.

    1999-05-20

    It is the policy of Special Analytical Support (SAS) that the analytical aspects of all environmental data generated and processed in the laboratory, subject to the Environmental Protection Agency (EPA), U.S. Department of Energy or other project specific requirements, be of known and acceptable quality. It is the intention of this QAPP to establish and assure that an effective quality controlled management system is maintained in order to meet the quality requirements of the intended use(s) of the data.

  1. R2D Ingenierie SAS | Open Energy Information

    Open Energy Info (EERE)

    search Name: R2D Ingenierie SAS Place: Montpellier, France Product: French automation equipment manufacturer for PV cells and semiconductor chips. Coordinates:...

  2. Extension of the supercritical carbon dioxide brayton cycle to low reactor power operation: investigations using the coupled anl plant dynamics code-SAS4A/SASSYS-1 liquid metal reactor code system.

    SciTech Connect (OSTI)

    Moisseytsev, A.; Sienicki, J. J.

    2012-05-10

    Significant progress has been made on the development of a control strategy for the supercritical carbon dioxide (S-CO{sub 2}) Brayton cycle enabling removal of power from an autonomous load following Sodium-Cooled Fast Reactor (SFR) down to decay heat levels such that the S-CO{sub 2} cycle can be used to cool the reactor until decay heat can be removed by the normal shutdown heat removal system or a passive decay heat removal system such as Direct Reactor Auxiliary Cooling System (DRACS) loops with DRACS in-vessel heat exchangers. This capability of the new control strategy eliminates the need for use of a separate shutdown heat removal system which might also use supercritical CO{sub 2}. It has been found that this capability can be achieved by introducing a new control mechanism involving shaft speed control for the common shaft joining the turbine and two compressors following reduction of the load demand from the electrical grid to zero. Following disconnection of the generator from the electrical grid, heat is removed from the intermediate sodium circuit through the sodium-to-CO{sub 2} heat exchanger, the turbine solely drives the two compressors, and heat is rejected from the cycle through the CO{sub 2}-to-water cooler. To investigate the effectiveness of shaft speed control, calculations are carried out using the coupled Plant Dynamics Code-SAS4A/SASSYS-1 code for a linear load reduction transient for a 1000 MWt metallic-fueled SFR with autonomous load following. No deliberate motion of control rods or adjustment of sodium pump speeds is assumed to take place. It is assumed that the S-CO{sub 2} turbomachinery shaft speed linearly decreases from 100 to 20% nominal following reduction of grid load to zero. The reactor power is calculated to autonomously decrease down to 3% nominal providing a lengthy window in time for the switchover to the normal shutdown heat removal system or for a passive decay heat removal system to become effective. However, the

  3. Silicium de Provence SAS Silpro | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name: Silicium de Provence SAS (Silpro) Place: Saint Aubain, France Zip: 04 600 Sector: Solar Product: Consortium set up to run a 4,000 MT solar-grade...

  4. Systems Analysis Workshop Purpose

    Broader source: Energy.gov [DOE]

    Presentation on SAW purpose to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004 to discuss and define role of systems analysis in DOE Hydrogen Program.

  5. NETL: SOFC Systems Analysis

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

    Analysis NETL possesses strong systems analysis and policy support capabilities. Systems analysis support of the SOFC Program consists of conducting various energy analyses that provide input to decisions on issues such as national plans and programs, resource use, environmental and energy security policies, technology options for R&D programs and pathways to the commercialization and deployment of SOFC power systems. Here is a partial listing of SOFC systems analysis: Techno-Economic

  6. Performance Measurement Analysis System

    Energy Science and Technology Software Center (OSTI)

    1989-06-01

    The PMAS4.0 (Performance Measurement Analysis System) is a user-oriented system designed to track the cost and schedule performance of Department of Energy (DOE) major projects (MPs) and major system acquisitions (MSAs) reporting under DOE Order 5700.4A, Project Management System. PMAS4.0 provides for the analysis of performance measurement data produced from management control systems complying with the Federal Government''s Cost and Schedule Control Systems Criteria.

  7. System Analysis Projects

    Broader source: Energy.gov [DOE]

    Geothermal Technologies Office Systems Analysis projects include environmental, regulatory, financial initiatives and efforts that solve non-technical barriers to geothermal deployment.

  8. Aerosol Optical Depth Value-Added Product for the SAS-He Instrument...

    Office of Scientific and Technical Information (OSTI)

    Aerosol Optical Depth Value-Added Product for the SAS-He Instrument Citation Details In-Document Search Title: Aerosol Optical Depth Value-Added Product for the SAS-He Instrument ...

  9. Systems Analysis Sub site

    SciTech Connect (OSTI)

    EERE

    2012-03-16

    Systems analysis provides direction, focus, and support for the development and introduction of hydrogen production, storage, and end-use technologies, and provides a basis for recommendations on a balanced portfolio of activities.

  10. Intelligent Transportation Systems Deployment Analysis System...

    Open Energy Info (EERE)

    Transportation Systems Deployment Analysis System AgencyCompany Organization: Cambridge Systematics Sector: Energy Focus Area: Transportation Resource Type: Software...

  11. Hanau Energies SAS | Open Energy Information

    Open Energy Info (EERE)

    Place: Weinbourg, France Zip: 67340 Sector: Biomass Product: Plans to sell turnkey electrical and thermal distributed power systems using plant biomass technology and PV systems....

  12. Validation of SCALE (SAS2H) isotopic predictions for BWR spent fuel

    SciTech Connect (OSTI)

    Hermann, O.W.; DeHart, M.D.

    1998-09-01

    Thirty spent fuel samples obtained from boiling-water-reactor (BWR) fuel pins have been modeled at Oak Ridge National Laboratory using the SAS2H sequence of the SCALE code system. The SAS2H sequence uses transport methods combined with the depletion and decay capabilities of the ORIGEN-S code to estimate the isotopic composition of fuel as a function of its burnup history. Results of these calculations are compared with chemical assay measurements of spent fuel inventories for each sample. Results show reasonable agreement between measured and predicted isotopic concentrations for important actinides; however, little data are available for most fission products considered to be important for spent fuel concerns (e.g., burnup credit, shielding, source-term calculations, etc.). This work is a follow-up to earlier works that studied the ability to predict spent fuel compositions in pressurized-water-reactor (PWR) fuel pins. Biases and uncertainties associated with BWR isotopic predictions are found to be larger than those of PWR calculations. Such behavior is expected, as the operation of a BWR is significantly more complex than that of a PWR plant, and in general the design of a BWR has a more heterogeneous configuration than that of a PWR. Nevertheless, this work shows that the simple models employed using SAS2H to represent such complexities result in agreement to within 5% (and often less than 1%) or less for most nuclides important for spent fuel applications. On the other hand, however, the set of fuel samples analyzed represent a small subset of the BWR fuel population, and results reported herein may not be representative of the full population of BWR spent fuel.

  13. Validation of SCALE (SAS2H) Isotopic Predictions for BWR Spent Fuel

    SciTech Connect (OSTI)

    Hermann, O.W.

    1998-01-01

    Thirty spent fuel samples obtained from boiling-water-reactor (BWR) fuel pins have been modeled at Oak Ridge National Laboratory using the SAS2H sequence of the SCALE code system. The SAS2H sequence uses transport methods combined with the depletion and decay capabilities of the ORIGEN-S code to estimate the isotopic composition of fuel as a function of its burnup history. Results of these calculations are compared with chemical assay measurements of spent fuel inventories for each sample. Results show reasonable agreement between measured and predicted isotopic concentrations for important actinides; however, little data are available for most fission products considered to be important for spent fuel concerns (e.g., burnup credit, shielding, source-term calculations, etc.). This work is a follow-up to earlier works that studied the ability to predict spent fuel compositions in pressurized-water-reactor (PWR) fuel pins. Biases and uncertainties associated with BWR isotopic predictions are found to be larger than those of PWR calculations. Such behavior is expected, as the operation of a BWR is significantly more complex than that of a PWR plant, and in general the design of a BWR has a more heterogeneous configuration than that of a PWR. Nevertheless, this work shows that the simple models employed using SAS2H to represent such complexities result in agreement to within 5% (and often less than 1%) or less for most nuclides important for spent fuel applications. On the other hand, however, the set of fuel samples analyzed represent a small subset of the BWR fuel population, and results reported herein may not be representative of the full population of BWR spent fuel.

  14. Systems Analysis | Department of Energy

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

    About the Geothermal Technologies Office » Systems Analysis Systems Analysis What is the Systems Analysis program? The Systems Analysis program in the Geothermal Technologies Office focuses primarily on: Environmental issues Policy, regulatory, and financing Economic Analysis and validation Data and Tools that support geothermal exploration and development As a key part of the Systems Analysis portfolio, a two-year, comprehensive Vision Study for geothermal energy development is underway to

  15. Transportation Energy Systems Analysis

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

    Systems Analysis - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear

  16. Neutron activation analysis system

    DOE Patents [OSTI]

    Taylor, M.C.; Rhodes, J.R.

    1973-12-25

    A neutron activation analysis system for monitoring a generally fluid media, such as slurries, solutions, and fluidized powders, including two separate conduit loops for circulating fluid samples within the range of radiation sources and detectors is described. Associated with the first loop is a neutron source that emits s high flux of slow and thermal neutrons. The second loop employs a fast neutron source, the flux from which is substantially free of thermal neutrons. Adjacent to both loops are gamma counters for spectrographic determination of the fluid constituents. Other gsmma sources and detectors are arranged across a portion of each loop for deterMining the fluid density. (Official Gazette)

  17. Status Report on NEAMS System Analysis Module Development

    SciTech Connect (OSTI)

    Hu, R.; Fanning, T. H.; Sumner, T.; Yu, Y.

    2015-12-01

    Under the Reactor Product Line (RPL) of DOE-NE’s Nuclear Energy Advanced Modeling and Simulation (NEAMS) program, an advanced SFR System Analysis Module (SAM) is being developed at Argonne National Laboratory. The goal of the SAM development is to provide fast-running, improved-fidelity, whole-plant transient analyses capabilities. SAM utilizes an object-oriented application framework MOOSE), and its underlying meshing and finite-element library libMesh, as well as linear and non-linear solvers PETSc, to leverage modern advanced software environments and numerical methods. It also incorporates advances in physical and empirical models and seeks closure models based on information from high-fidelity simulations and experiments. This report provides an update on the SAM development, and summarizes the activities performed in FY15 and the first quarter of FY16. The tasks include: (1) implement the support of 2nd-order finite elements in SAM components for improved accuracy and computational efficiency; (2) improve the conjugate heat transfer modeling and develop pseudo 3-D full-core reactor heat transfer capabilities; (3) perform verification and validation tests as well as demonstration simulations; (4) develop the coupling requirements for SAS4A/SASSYS-1 and SAM integration.

  18. System of systems modeling and analysis.

    SciTech Connect (OSTI)

    Campbell, James E.; Anderson, Dennis James; Longsine, Dennis E.; Shirah, Donald N.

    2005-01-01

    This report documents the results of an LDRD program entitled 'System of Systems Modeling and Analysis' that was conducted during FY 2003 and FY 2004. Systems that themselves consist of multiple systems (referred to here as System of Systems or SoS) introduce a level of complexity to systems performance analysis and optimization that is not readily addressable by existing capabilities. The objective of the 'System of Systems Modeling and Analysis' project was to develop an integrated modeling and simulation environment that addresses the complex SoS modeling and analysis needs. The approach to meeting this objective involved two key efforts. First, a static analysis approach, called state modeling, has been developed that is useful for analyzing the average performance of systems over defined use conditions. The state modeling capability supports analysis and optimization of multiple systems and multiple performance measures or measures of effectiveness. The second effort involves time simulation which represents every system in the simulation using an encapsulated state model (State Model Object or SMO). The time simulation can analyze any number of systems including cross-platform dependencies and a detailed treatment of the logistics required to support the systems in a defined mission.

  19. Systems Analysis | Department of Energy

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

    Systems Analysis Systems Analysis Systems analysis provides direction, focus, and support for the development and introduction of hydrogen production, storage, and end-use technologies, and provides a basis for recommendations on a balanced portfolio of activities. All areas of the Fuel Cell Technologies Office-hydrogen production, delivery, storage, fuel cells, technology validation, and safety, codes and standards-rely on the conclusions and recommendations drawn from systems analysis results

  20. Integrated fluorescence analysis system

    DOE Patents [OSTI]

    Buican, Tudor N.; Yoshida, Thomas M.

    1992-01-01

    An integrated fluorescence analysis system enables a component part of a sample to be virtually sorted within a sample volume after a spectrum of the component part has been identified from a fluorescence spectrum of the entire sample in a flow cytometer. Birefringent optics enables the entire spectrum to be resolved into a set of numbers representing the intensity of spectral components of the spectrum. One or more spectral components are selected to program a scanning laser microscope, preferably a confocal microscope, whereby the spectrum from individual pixels or voxels in the sample can be compared. Individual pixels or voxels containing the selected spectral components are identified and an image may be formed to show the morphology of the sample with respect to only those components having the selected spectral components. There is no need for any physical sorting of the sample components to obtain the morphological information.

  1. System Analysis Success Stories | Department of Energy

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

    System Analysis Success Stories System Analysis Success Stories Program Links System Analysis Success Stories Economic Impact Tools National Geothermal Data System (NGDS) Initiative

  2. NREL: Energy Analysis - Technology Systems Analysis

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

    Technology Systems Analysis NREL's Technology Systems Analysis examines RD&D areas in terms of potential costs, benefits, risks, uncertainties, and timeframes. The following pages provide information on specific technology areas: Biomass Building Electric Infrastructure Systems Energy Sciences Geothermal Hydrogen and Fuel Cells Solar Vehicles and Fuels Research Wind Key staff analyst Summary bios of staff expertise and interests Team Lead: Margaret Mann Administrative Support: Catherine

  3. Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...

    Office of Environmental Management (EM)

    Models and Tools: Systems Analysis of Hydrogen and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's systems ...

  4. Solar Energy Systems - Research - Systems Analysis - Smart Grid...

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

    Sunlight Systems Analysis Solar Fuels Research: Systems Analysis Smart grid photovoltaic Systems analysis photovoltaic A team of energy and grid experts from Agronne,...

  5. Analyzing product test data in a relational database using SAS software

    SciTech Connect (OSTI)

    Orman, J.L.

    1991-01-01

    SAS software is being used to analyze product test data stored in an INGRES relational database. The database has been implemented at Allied-Signal in Kansas City on a Digital Equipment Corporation (DEC) VAX computer. The INGRES application development has been a joint project between Sandia National Laboratories and Allied-Signal. Application screens have been developed so that the user can query the database for selected data. Fourth generation language procedures are used to retrieve all data requested. FORTRAN and VAX/VMS DCL (DIGITAL Control Language) procedures are invoked from the application to create SAS data sets and dynamically build SAS programs that are executed to build custom reports or graphically display the retrieved test data along with control and specification limits. A retrieval screen has also been developed which invokes SAS software to calculate the mean and standard deviation of the retrieved data. These parameters are passed back into the application for display and may then be used as an aid in setting new control limits for future test runs. Screens have been developed to provide an interface for the user to select from a library of SAS programs, edit the selected program, and run the program with a user-defined SAS data set as input. This paper will give a brief description of the application screens and provide details of how information is passed between the application and SAS programs.

  6. System Reconfiguration Analysis Program

    Energy Science and Technology Software Center (OSTI)

    1992-06-19

    SYSRAP is a distribution automation applications software package for assessing system reconfiguration opportunities and volt/var control on radial electric distribution feeders.

  7. Advanced CSP Systems Analysis

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

    for assessing system performance and economics of a solar thermal power plant * ... based on impact to performanceeconomics * Continue development of integrated ...

  8. Miniaturized flow injection analysis system

    DOE Patents [OSTI]

    Folta, James A.

    1997-01-01

    A chemical analysis technique known as flow injection analysis, wherein small quantities of chemical reagents and sample are intermixed and reacted within a capillary flow system and the reaction products are detected optically, electrochemically, or by other means. A highly miniaturized version of a flow injection analysis system has been fabricated utilizing microfabrication techniques common to the microelectronics industry. The microflow system uses flow capillaries formed by etching microchannels in a silicon or glass wafer followed by bonding to another wafer, commercially available microvalves bonded directly to the microflow channels, and an optical absorption detector cell formed near the capillary outlet, with light being both delivered and collected with fiber optics. The microflow system is designed mainly for analysis of liquids and currently measures 38.times.25.times.3 mm, but can be designed for gas analysis and be substantially smaller in construction.

  9. Miniaturized flow injection analysis system

    DOE Patents [OSTI]

    Folta, J.A.

    1997-07-01

    A chemical analysis technique known as flow injection analysis is described, wherein small quantities of chemical reagents and sample are intermixed and reacted within a capillary flow system and the reaction products are detected optically, electrochemically, or by other means. A highly miniaturized version of a flow injection analysis system has been fabricated utilizing microfabrication techniques common to the microelectronics industry. The microflow system uses flow capillaries formed by etching microchannels in a silicon or glass wafer followed by bonding to another wafer, commercially available microvalves bonded directly to the microflow channels, and an optical absorption detector cell formed near the capillary outlet, with light being both delivered and collected with fiber optics. The microflow system is designed mainly for analysis of liquids and currently measures 38{times}25{times}3 mm, but can be designed for gas analysis and be substantially smaller in construction. 9 figs.

  10. Canister Model, Systems Analysis

    Energy Science and Technology Software Center (OSTI)

    1993-09-29

    This packges provides a computer simulation of a systems model for packaging nuclear waste and spent nuclear fuel in canisters. The canister model calculates overall programmatic cost, number of canisters, and fuel and waste inventories for the Idaho Chemical Processing Plant (other initial conditions can be entered).

  11. Systems analysis-independent analysis and verification

    SciTech Connect (OSTI)

    Badin, J.S.; DiPietro, J.P.

    1995-09-01

    The DOE Hydrogen Program is supporting research, development, and demonstration activities to overcome the barriers to the integration of hydrogen into the Nation`s energy infrastructure. Much work is required to gain acceptance of hydrogen energy system concepts and to develop them for implementation. A systems analysis database has been created that includes a formal documentation of technology characterization profiles and cost and performance information. Through a systematic and quantitative approach, system developers can understand and address important issues and thereby assure effective and timely commercial implementation. This project builds upon and expands the previously developed and tested pathway model and provides the basis for a consistent and objective analysis of all hydrogen energy concepts considered by the DOE Hydrogen Program Manager. This project can greatly accelerate the development of a system by minimizing the risk of costly design evolutions, and by stimulating discussions, feedback, and coordination of key players and allows them to assess the analysis, evaluate the trade-offs, and to address any emerging problem areas. Specific analytical studies will result in the validation of the competitive feasibility of the proposed system and identify system development needs. Systems that are investigated include hydrogen bromine electrolysis, municipal solid waste gasification, electro-farming (biomass gasifier and PEM fuel cell), wind/hydrogen hybrid system for remote sites, home electrolysis and alternate infrastructure options, renewable-based electrolysis to fuel PEM fuel cell vehicle fleet, and geothermal energy used to produce hydrogen. These systems are compared to conventional and benchmark technologies. Interim results and findings are presented. Independent analyses emphasize quality, integrity, objectivity, a long-term perspective, corporate memory, and the merging of technical, economic, operational, and programmatic expertise.

  12. Data Transfer Software-SAS MetaData Server & Phoenix Integration Model Center

    Energy Science and Technology Software Center (OSTI)

    2010-04-15

    This software is a plug-in that interfaces between the Phoenix Integration's Model Center and the Base SAS 9.2 applications. The end use of the plug-in is to link input and output data that resides in SAS tables or MS SQL to and from "legacy" software programs without recoding. The potential end users are users who need to run legacy code and want data stored in a SQL database.

  13. Arctic Climate Systems Analysis

    SciTech Connect (OSTI)

    Ivey, Mark D.; Robinson, David G.; Boslough, Mark B.; Backus, George A.; Peterson, Kara J.; van Bloemen Waanders, Bart G.; Swiler, Laura Painton; Desilets, Darin Maurice; Reinert, Rhonda Karen

    2015-03-01

    This study began with a challenge from program area managers at Sandia National Laboratories to technical staff in the energy, climate, and infrastructure security areas: apply a systems-level perspective to existing science and technology program areas in order to determine technology gaps, identify new technical capabilities at Sandia that could be applied to these areas, and identify opportunities for innovation. The Arctic was selected as one of these areas for systems level analyses, and this report documents the results. In this study, an emphasis was placed on the arctic atmosphere since Sandia has been active in atmospheric research in the Arctic since 1997. This study begins with a discussion of the challenges and benefits of analyzing the Arctic as a system. It goes on to discuss current and future needs of the defense, scientific, energy, and intelligence communities for more comprehensive data products related to the Arctic; assess the current state of atmospheric measurement resources available for the Arctic; and explain how the capabilities at Sandia National Laboratories can be used to address the identified technological, data, and modeling needs of the defense, scientific, energy, and intelligence communities for Arctic support.

  14. Systems Analysis Workshop Agenda | Department of Energy

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

    Agenda Systems Analysis Workshop Agenda Agenda from DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004 to discuss and define role of systems analysis in DOE Hydrogen Program. saw_agenda.pdf (113.03 KB) More Documents & Publications Systems Analysis Workshop Welcome & Introductions Fuel Pathways Integration Tech Team Systems Analysis Workshop Purpose

  15. Systems analysis - independent analysis and verification

    SciTech Connect (OSTI)

    DiPietro, J.P.; Skolnik, E.G.; Badin, J.S.

    1996-10-01

    The Hydrogen Program of the U.S. Department of Energy (DOE) funds a portfolio of activities ranging from conceptual research to pilot plant testing. The long-term research projects support DOE`s goal of a sustainable, domestically based energy system, and the development activities are focused on hydrogen-based energy systems that can be commercially viable in the near-term. Energetics develops analytic products that enable the Hydrogen Program Manager to assess the potential for near- and long-term R&D activities to satisfy DOE and energy market criteria. This work is based on a pathway analysis methodology. The authors consider an energy component (e.g., hydrogen production from biomass gasification, hybrid hydrogen internal combustion engine (ICE) vehicle) within a complete energy system. The work involves close interaction with the principal investigators to ensure accurate representation of the component technology. Comparisons are made with the current cost and performance of fossil-based and alternative renewable energy systems, and sensitivity analyses are conducted to determine the effect of changes in cost and performance parameters on the projects` viability.

  16. Safety System Oversight Staffing Analysis - Example | Department...

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

    Staffing Analysis - Example Safety System Oversight Staffing Analysis - Example SSO Alternate Staffing Analysis - Example Filled Spreadsheet. (23 KB) More Documents & Publications ...

  17. System Safety Common Cause Analysis

    Energy Science and Technology Software Center (OSTI)

    1992-03-10

    The COMCAN fault tree analysis codes are designed to analyze complex systems such as nuclear plants for common causes of failure. A common cause event, or common mode failure, is a secondary cause that could contribute to the failure of more than one component and violates the assumption of independence. Analysis of such events is an integral part of system reliability and safety analysis. A significant common cause event is a secondary cause common tomore » all basic events in one or more minimal cut sets. Minimal cut sets containing events from components sharing a common location or a common link are called common cause candidates. Components share a common location if no barrier insulates any one of them from the secondary cause. A common link is a dependency among components which cannot be removed by a physical barrier (e.g.,a common energy source or common maintenance instructions).« less

  18. System for analysis of explosives

    DOE Patents [OSTI]

    Haas, Jeffrey S.

    2010-06-29

    A system for analysis of explosives. Samples are spotted on a thin layer chromatography plate. Multi-component explosives standards are spotted on the thin layer chromatography plate. The thin layer chromatography plate is dipped in a solvent mixture and chromatography is allowed to proceed. The thin layer chromatography plate is dipped in reagent 1. The thin layer chromatography plate is heated. The thin layer chromatography plate is dipped in reagent 2.

  19. PNNL Technology Systems Analysis Group | Open Energy Information

    Open Energy Info (EERE)

    PNNL Technology Systems Analysis Group (Redirected from Technology Systems Analysis) Jump to: navigation, search Logo: Technology Systems Analysis Name Technology Systems Analysis...

  20. Safety System Oversight Staffing Analysis (Instructions, Blank...

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

    Safety System Oversight Staffing Analysis (Instructions, Blank Sheet and Example Sheet) This Staffing Analysis calculation is completed using an Excel worksheet. Information ...

  1. Seismic modal analysis and system interaction (Conference) |...

    Office of Scientific and Technical Information (OSTI)

    Conference: Seismic modal analysis and system interaction Citation Details In-Document ... many pressing subjects concerning the design and analysis of nuclear and waste facilities. ...

  2. Failure analysis issues in microelectromechanical systems (MEMS...

    Office of Scientific and Technical Information (OSTI)

    Title: Failure analysis issues in microelectromechanical systems (MEMS). Failure analysis and device characterization of MEMS components are critical steps in understanding the ...

  3. Automated Transportation Logistics and Analysis System (ATLAS...

    Office of Environmental Management (EM)

    Automated Transportation Logistics and Analysis System (ATLAS) ATLAS is an integrated web-based logistics management system allowing users to manage inbound and outbound freight ...

  4. Automated Transportation Logistics and Analysis System (ATLAS...

    Office of Environmental Management (EM)

    The Department of Energy's (DOE's) Automated Transportation Logistics and Analysis System is an integrated web-based logistics management system allowing users to manage inbound ...

  5. Tank waste remediation system mission analysis report

    SciTech Connect (OSTI)

    Acree, C.D.

    1998-01-06

    The Tank Waste Remediation System Mission Analysis Report identifies the initial states of the system and the desired final states of the system. The Mission Analysis Report identifies target measures of success appropriate to program-level accomplishments. It also identifies program-level requirements and major system boundaries and interfaces.

  6. Aerosol Optical Depth Value-Added Product for the SAS-He Instrument

    SciTech Connect (OSTI)

    Ermold, B; Flynn, CJ; Barnard, J

    2013-11-27

    The Shortwave Array Spectroradiometer – Hemispheric (SAS-He) is a ground-based, shadowband instrument that measures the direct and diffuse solar irradiance. In this regard, the instrument is similar to the Multi-Filter Rotating Shadowband Radiometer (MFRSR) – an instrument that has been in the ARM suite of instruments for more than 15 years. However, the two instruments differ significantly in wavelength resolution and range. In particular, the MFRSR only observes the spectrum in six discrete wavelength channels of about 10 nm width from 415 to 940 nm. The SAS-He, in contrast, incorporates two fiber-coupled grating spectrometers: a Si CCD spectrometer with over 2000 pixels covering the range from 325-1040 nm with ~ 2.5 nm resolution ,and an InGaAs array spectrometer with 256 pixels covering the wavelength range from 960-1700 nm with ~ 6 nm resolution.

  7. Radiological Safety Analysis Code System.

    Energy Science and Technology Software Center (OSTI)

    2009-12-22

    Version 03 RSAC-6.2 can be used to model complex accidents and radiological consequences to individuals from the release of radionuclides to the atmosphere. A user can generate a fission product inventory; decay and ingrow the inventory during transport through processes, facilities, and the environment; model the downwind dispersion of the activity; and calculate doses to downwind individuals. Doses are calculated through the inhalation, immersion, ground surface and ingestion pathways. New to RSAC-6.2 are the abilitiesmore » to calculate inhalation from release to a room, inhalation from resuspension of activities, and a new model for dry deposition. Doses can now be calculated as close as 10 meters from the release point. RSAC-6.2 has been subjected to extensive independent verification and validation for use in performing safety-related dose calculations to support safety analysis reports. WinRP 2.0, a windows based overlay to RSAC-6.2, assists users in creating and running RSAC-6.2 input files. RSAC-6, Rev. 6.2 (03/11/02) corrects an earlier issue with RSAC-6, compiled with F77L-EM/32 Fortran 77 Version 5.10, which would not allow the executable to run with XP or VISTA Windows operating systems. Because this version is still in use at some facilities, it is being released through RSICC in addition to the new RSAC 7 (CCC-761).« less

  8. System Analysis and Risk Assessment System.

    Energy Science and Technology Software Center (OSTI)

    2000-11-20

    Version 00 SARA4.16 is a program that allows the user to review the results of a Probabilistic Risk Assessment (PRA) and to perform limited sensitivity analysis on these results. This tool is intended to be used by a less technical oriented user and does not require the level of understanding of PRA concepts required by a full PRA analysis tool. With this program a user can review the information generated by a PRA analyst andmore » compare the results to those generated by making limited modifications to the data in the PRA. Also included in this program is the ability to graphically display the information stored in the database. This information includes event trees, fault trees, P&IDs and uncertainty distributions. SARA 4.16 is incorporated in the SAPHIRE 5.0 code package.« less

  9. Policy Analysis System (Polysys) | Open Energy Information

    Open Energy Info (EERE)

    polysys.html OpenEI Keyword(s): EERE tool, Policy Analysis System, Polysys Language: English References: Agricultural Policy Analysis Center Research Tools1 Model U.S....

  10. PNNL Technology Systems Analysis Group | Open Energy Information

    Open Energy Info (EERE)

    PNNL Technology Systems Analysis Group Jump to: navigation, search Logo: Technology Systems Analysis Name Technology Systems Analysis AgencyCompany Organization Pacific Northwest...

  11. NREL: Concentrating Solar Power Research - Systems Analysis

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

    solar financial models developed and integrated into the System Advisor Model (SAM) software Grid penetration and life-cycle analysis studies The Solar-augment study of...

  12. NREL: Energy Analysis - Electric Infrastructure Systems Technology...

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

    Biomass Buildings Electric Infrastructure Systems Energy Sciences Geothermal Hydrogen and Fuel Cells Solar Vehicles and Fuels Research Wind Geospatial Analysis Key Activities ...

  13. NREL: Transportation Research - Systems Analysis and Integration

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

    NREL's systems analysis and integration team evaluates the impact of emerging technologies on efficiency, performance, cost, and battery life for a full range of ...

  14. CSP Systems Analysis | Department of Energy

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

    Dish engines are some of the most efficient solar-to-electric systems in the world. Read more The SunShot Initiative concentrating solar power (CSP) program funds systems analysis ...

  15. CSP Systems Analysis | Department of Energy

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

    CSP Systems Analysis CSP Systems Analysis The SunShot Initiative funds concentrating solar power (CSP) systems research and development (R&D) within industry and national laboratories to develop and demonstrate integrated CSP systems as well as to evaluate and validate the cost, performance, and durability of concentrating solar power (CSP) technologies. DOE's research program is guided toward the areas of greatest impact based on estimates of current and future CSP plant, subsystems, and

  16. Thermal Analysis of Closed Systems

    Energy Science and Technology Software Center (OSTI)

    1987-10-01

    TAP-LOOP is a finite-difference program designed for steady-state and transient thermal analysis of recirculating fluid loops and associated heat transfer equipment; however, it is not limited to loop analysis. TAP-LOOP was developed to perform scoping and conceptual design analyses for closed test loops in the Fast Flux Test Facility (FFTF), but it can handle a variety of problems which can be described in terms of potentials, sources, sinks, and storage including, in addition to heatmore » transfer problems, studies of potential fluid flow, electrical networks, and stress analysis.« less

  17. Environmental applications of the particle analysis system

    SciTech Connect (OSTI)

    Moritz, E.J.; Hoffman, C.R.

    1993-09-28

    This study demonstrates the applicability of particle counting technology for analysis of various water treatment systems at the Rocky Flats Plant. The Particle Analysis System described in this study determined the water quality of samples from environmental remediation, stormwater treatment, and drinking water treatment operations. Samples were measured in either discrete or on-line mode. This data showed filtration efficiencies, particle counts, particle size distributions, and real-time treatment system performance. Particle counting proved more sensitive than the turbidimetric measurement technique commonly used by the water treatment industry. Particle counting is a two-dimensional measurement of counts and sizes, whereas turbidity is a one-dimensional measurement of water clarity. Samples showing identical turbidities could be distinguished easily with the Particle Analysis System. The Particle Analysis System proved to be an efficient and reliable water quality measurement tool, and it is applicable to a variety of water treatment systems at the Rocky Flats Plant.

  18. Production Facility System Reliability Analysis Report

    SciTech Connect (OSTI)

    Dale, Crystal Buchanan; Klein, Steven Karl

    2015-10-06

    This document describes the reliability, maintainability, and availability (RMA) modeling of the Los Alamos National Laboratory (LANL) design for the Closed Loop Helium Cooling System (CLHCS) planned for the NorthStar accelerator-based 99Mo production facility. The current analysis incorporates a conceptual helium recovery system, beam diagnostics, and prototype control system into the reliability analysis. The results from the 1000 hr blower test are addressed.

  19. Effect of a detailed radial core expansion reactivity feedback model on ATWS calculations using SASSYS/SAS4A

    SciTech Connect (OSTI)

    Wigeland, R.A.

    1986-01-01

    The present emphasis on inherent safety and inherently safe designs for liquid-metal reactors has resulted in a need to represent the various reactivity feedback mechanisms as accurately as possible. In particular, the reactivity feedback from radial core expansion has been found to provide the dominant negative feedback contribution in postulated anticipated transient without scram (ATWS) events. Review of the existing modeling in the SASSYS/SAS4A computer code system revealed that while the modeling may be adequate for the early phases of various unprotected transients, the accuracy would be less than desirable for the extended transients which typically occur for inherently safe designs. The existing model for calculating the reactivity feedback from radial core expansion uses a feedback from radial core expansion uses a feedback coefficient in conjunction with changes in the temperatures of the grid support plate and the above-core load pad. The accuracy of this approach is determined partly by the conditions used in deriving the feedback coefficient, and their relevance to the transient being investigated. Accuracy is also affected by the need to include effects other than those that could be directly related to changes in the grid plate and above-core load pad temperatures, such as subassembly bowing and the potential for clearances to occur between subassemblies in the above-core load pad region. As a result, a detailed model was developed in an attempt to account for these and other effects in a more mechanistic form.

  20. VISION 21 SYSTEMS ANALYSIS METHODOLOGIES

    SciTech Connect (OSTI)

    G.S. Samuelsen; A. Rao; F. Robson; B. Washom

    2003-08-11

    Under the sponsorship of the U.S. Department of Energy/National Energy Technology Laboratory, a multi-disciplinary team led by the Advanced Power and Energy Program of the University of California at Irvine is defining the system engineering issues associated with the integration of key components and subsystems into power plant systems that meet performance and emission goals of the Vision 21 program. The study efforts have narrowed down the myriad of fuel processing, power generation, and emission control technologies to selected scenarios that identify those combinations having the potential to achieve the Vision 21 program goals of high efficiency and minimized environmental impact while using fossil fuels. The technology levels considered are based on projected technical and manufacturing advances being made in industry and on advances identified in current and future government supported research. Included in these advanced systems are solid oxide fuel cells and advanced cycle gas turbines. The results of this investigation will serve as a guide for the U. S. Department of Energy in identifying the research areas and technologies that warrant further support.

  1. SAS Output

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

    Underground Coal Production by State and Mining Method, 2014" "(thousand short tons)" "Coal-Producing State and Region1","Continuous2","Conventional and","Longwall4","Total" ,,"Other3" "Alabama",435,"-",12081,12516 "Arkansas",87,"-","-",87 "Colorado",971,10,17142,18123 "Illinois",16944,1634,34136,52713

  2. SAS Output

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

    0. Average Sales Price of Coal by State, County, and Number of Mines, 2014" "Coal-Producing State and County","Number of Mines","Sales","Average Sales Price" ,,"(thousand short tons)","(dollars per short ton)" "Alabama",32,17359,87.17 " Bibb",1,"w","w" " Franklin",2,"w","w" " Jefferson",9,5764,103.31 " Shelby",2,"w","w"

  3. SAS Output

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

    3. Average Sales Price of U.S. Coal by State and Disposition, 2014" "(dollars per short ton)" "Coal-Producing State","Open Market1","Captive2","Total3" "Alabama",84.48,"-",87.17 "Alaska","w","-","w" "Arizona","w","-","w" "Arkansas","w","w","w" "Colorado",35.68,44.28,38.64

  4. SAS Output

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

    Coal Production by Coalbed Thickness and Mine Type, 2014" "(thousand short tons)" "Coal Thickness (inches)","Underground","Surface","Total" "Under 7","-",922,922 "7 - Under 13","-",2518,2518 "13 - Under 19",343,6236,6579 "19 - Under 25",197,11075,11273 "25 - Under 31",2693,10632,13324 "31 - Under 37",15604,14557,30161 "37 - Under 43",20075,13504,33580

  5. SAS Output

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

    Coal Production and Number of Mines by State and Coal Rank, 2014" "(thousand short tons)" ,"Bituminous",,"Subbituminous",,"Lignite",,"Anthracite",,"Total" "Coal-Producing","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production","Number of

  6. SAS Output

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

    . Coal Production by State, Mine Type, and Union Status, 2014" "(thousand short tons)" ,"Union",,"Nonunion",,"Total" "Coal-Producing","Underground","Surface","Underground","Surface","Underground","Surface" "State and Region1" "Alabama",12081,327,435,3486,12516,3813 "Alaska","-",1502,"-","-","-",1502

  7. SAS Output

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

    Coal Disposition by State, 2014" "(thousand short tons)" "Coal-Producing State","Open Market Sales1","Captive Sales / Transactions2","Exports3","Total" "Alabama",5310,"-",12049,17359 "Alaska",954,"-",554,1508 "Arizona",8182,"-","-",8182 "Arkansas",1,104,9,114 "Colorado",10602,11844,2089,24536 "Illinois",39533,6139,10170,55842

  8. SAS Output

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

    Major U.S. Coal Mines, 2014" "Rank","Mine Name / Operating Company","Mine Type","State","Production (short tons)" 1,"North Antelope Rochelle Mine / Peabody Powder River Mining LLC","Surface","Wyoming",117965515 2,"Black Thunder / Thunder Basin Coal Company LLC","Surface","Wyoming",101016860 3,"Cordero Mine / Cordero Mining

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    5. Revenue and Expense Statistics for U.S. Cooperative Borrower-Owned Electric Utilities, 2003 through 2013 (Million Dollars) Description 2003 2004 2005 2006 2007 2008 Operating...

  10. SAS Output

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

    State","Continuous1","Conventional and","Longwall3","Total" ,,"Other2" "Alabama","w","-","w",89.68 "Arkansas","w","-","-","w" "Colorado","w","-","w",37.28 "Illinois",44.23,"w",4...

  11. SAS Output

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

    mile. Some structures were designed and then built to carry future transmission circuits in order to handle expected growth in new capability requirements. Lines are taken...

  12. SAS Output

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

    1. Average Sales Price of Coal by State and Coal Rank, 2014" "(dollars per short ton)" "Coal-Producing State","Bituminous","Subbituminous","Lignite","Anthracite","Total" ...

  13. SAS Output

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

    B. U.S. Transformer Outages by Type and NERC region, 2013 Outage Type Eastern Interconnection TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages (Sustained) 59.00 --...

  14. SAS Output

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

    B. U.S. Transformer Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2013 Sustained Automatic Outage Counts High-Side Voltage (kV) Eastern...

  15. SAS Output

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

    A. U.S. Transmission Circuit Sustained Automatic Outage Counts and Hours by High-Voltage Size and NERC Region, 2013 Sustained Automatic Outage Counts Voltage Region Type Operating...

  16. SAS Output

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

    ...nation",2016,2015,2015,,,"Change" "North America Total",294.8,204.63,276.27,294.8,276.27,6...,355.59,611.72,791.78,611.72,29.4 "South America Total",501.14,"-",702.17,501.14,702.17,-2...

  17. SAS Output

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

    ...nation",2016,2015,2015,,,"Change" "North America Total",72167,239165,99293,72167,99293,-27... Other**",215,167,303,215,303,-29 "South America Total",21,"-",78,21,78,-73.1 " ...

  18. SAS Output

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

    -- -- -- -- -- -- -- 1.00 1.00 Fire -- -- -- -- -- -- -- -- -- Vandalism, Terrorism, or Malicious Acts -- -- -- -- 2.00 -- -- -- 2.00 Failed AC Substation Equipment --...

  19. SAS Output

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

    28.00 2.00 2.00 23.00 89.00 Fire 1.00 -- 1.00 1.00 3.00 -- -- 50.00 56.00 Vandalism, Terrorism, or Malicious Acts -- -- -- -- 7.00 -- -- -- 7.00 Failed AC Substation Equipment...

  20. SAS Output

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

    A. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric ...

  1. SAS Output

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

    B. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities ...

  2. SAS Output

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

    Demand-Side Management Program Incremental Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand ...

  3. SAS Output

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

    Management Program Direct and Indirect Costs, 2004 through 2012 (Thousand Dollars) (Table Discontinued) Year Energy Efficiency Load Management Direct Cost Indirect Cost ...

  4. SAS Output

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

    . Demand-Side Management Program Annual Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand ...

  5. SAS Output

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

    6. Energy Efficiency Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Incremental Annual Savings - Energy Savings (MWh) 2013 ...

  6. SAS Output

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

    7. Energy Efficiency - Life Cycle Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Life Cycle Savings - Energy Savings (MWh) 2013 ...

  7. SAS Output

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

    Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 17,185 24,290 11,137 50 52,663 2005 18,894 28,073 11,986 47 ...

  8. SAS Output

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

    Year Residential Commercial Industrial Transportation Total Energy Efficiency - Energy Savings (Thousand MWh) 2004 1,827 1,812 894 -- 4,532 2005 2,249 2,559 1,071 -- 5,879 2006 ...

  9. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Net ...

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Circuit ...

  11. SAS Output

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

    Coal Production and Number of Mines by State and Mine Type, 2014 and 2013" "(thousand short tons)" ,2014,,2013,,"Percent Change" "Coal-Producing","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production" "State and Region1" "Alabama",36,16363,39,18620,-7.7,-12.1 " Underground",7,12516,8,13515,-12.5,-7.4 "

  12. SAS Output

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

    Major U.S. Coal Producers, 2014" "Rank","Controlling Company Name","Production (thousand short tons)","Percent of Total Production" 1,"Peabody Energy Corp",189531,19 2,"Arch Coal Inc",135801,13.6 3,"Cloud Peak Energy",85794,8.6 4,"Alpha Natural Resources",80153,8 5,"Murray Energy Corp",62815,6.3 6,"Alliance Resource Partners LP",40964,4.1 7,"Westmoreland Coal Company",35580,3.6

  13. SAS Output

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

    Productive Capacity of Coal Mines by State, 2014 and 2013" "(thousand short tons)" ,2014,,,2013,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",13915,5530,19445,15121,7633,22754,-8,-27.6,-14.5

  14. SAS Output

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

    Capacity Utilization of Coal Mines by State, 2014 and 2013" "(percent)" ,2014,,,2013 "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",89.95,68.96,83.98,89.38,66.73,81.78 "Alaska","-",50.06,50.06,"-",54.39,54.39 "Arizona","-",94.71,94.71,"-",89.44,89.44

  15. SAS Output

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

    Productive Capacity and Capacity Utilization of Underground Coal Mines by State and Mining Method, 2014" "(thousand short tons)" ,"Continuous1",,"Conventional and Other2",,"Longwall3",,"Total" "Coal-Producing","Productive","Capacity","Productive","Capacity","Productive","Capacity","Productive","Capacity"

  16. SAS Output

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

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Mines by State, 2014 and 2013" "(million short tons)" ,2014,,2013 "Coal-Producing","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery","Percent Change" "State","Reserves","Percentage","Reserves","Percentage","Recoverable Coal" ,,,,,"Reserves"

  17. SAS Output

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

    Recoverable Coal Reserves at Producing Mines, Estimated Recoverable Reserves, and Demonstrated Reserve Base by Mining Method, 2014" "(million short tons)" ,"Underground - Minable Coal",,,"Surface - Minable Coal",,,"Total"

  18. SAS Output

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

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2014" "(million short tons)" ,"Continuous1",,"Conventional and Other2",,"Longwall3",,"Total" "Coal-Producing","Recoverable","Average Recovery","Recoverable","Average Recovery","Recoverable","Average Recovery","Recoverable","Average

  19. SAS Output

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

    Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2014" "(million short tons)" ,"Underground",,"Surface",,"Total" "Mine Production Range","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery","Recoverable Coal","Average Recovery" "(thousand short

  20. SAS Output

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

    Average Number of Employees by State and Mine Type, 2014 and 2013" ,2014,,,2013,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State and Region1" "Alabama",2852,842,3694,3077,1135,4212,-7.3,-25.8,-12.3

  1. SAS Output

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

    Number of Employees at Underground and Surface Mines by State and Mine Production Range, 2014" ,"Mine Production Range (thousand short tons)" "Coal-Producing State, Region1","Above 1,000","Above 500","Above 200","Above 100","Above 50","Above 10","Above 0","Zero2","Total Number" "and Mine Type",,"to 1,000","to 500","to 200","to

  2. SAS Output

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

    and Number of Mines by State, County, and Mine Type, 2014" "(thousand short tons)" ,"Underground",,"Surface",,"Total" "Coal-Producing","Number of Mines","Production","Number of Mines","Production","Number of Mines","Production" "State and County" "Alabama",7,12516,29,3847,36,16363 " Bibb","-","-",1,72,1,72 "

  3. SAS Output

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

    Average Number of Employees at Underground and Surface Mines by State and Union Status, 2014" ,"Union",,"Nonunion" "Coal-Producing State","Underground","Surface","Underground","Surface" "and Region1" "Alabama",2653,57,199,743 "Alaska","-",120,"-","-" "Arizona","-",387,"-","-"

  4. SAS Output

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

    Coal Productivity by State and Mine Type, 2014 and 2013" ,"Number of Mining Operations2",,,"Number of Employees3",,,"Average Production per Employee Hour" ,,,,,,,"(short tons)4" "Coal-Producing State, Region1",2014,2013,"Percent",2014,2013,"Percent",2014,2013,"Percent" "and Mine Type",,,"Change",,,"Change",,,"Change"

  5. SAS Output

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

    2. Underground Coal Mining Productivity by State and Mining Method, 2014" "(short tons produced per employee hour)" "Coal-Producing State, Region1 and Mine Type","Continuous2","Conventional and","Longwall4","Total" ,,"Other3" "Alabama",0.92,"-",1.92,1.84 "Arkansas",0.49,"-","-",0.49 "Colorado",3.44,"-",6.49,6.19 "Illinois",4.43,6.73,7.6,6.16

  6. SAS Output

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

    3. Coal Mining Productivity by State, Mine Type, and Mine Production Range, 2014" "(short tons produced per employee hour)" ,"Mine Production Range (thousand short tons)" "Coal-Producing State,","Above 1,000","Above 500","Above 200","Above 100","Above 50","Above 10","10 or Under","Total2" "Region1 and Mine Type",,"to 1,000","to 500","to

  7. SAS Output

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

    4. Coal Mining Productivity by State, Mine Type, and Union Status, 2014" "(short tons produced per employee hour)" ,"Union",,"Nonunion" "Coal-Producing State and Region1","Underground","Surface","Underground","Surface" "Alabama",1.92,2.31,0.85,2 "Alaska","-",5.43,"-","-" "Arizona","-",8.06,"-","-"

  8. SAS Output

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

    5. Coal Consumers in the Manufacturing and Coke Sectors, 2014" "Company Name","Plant Location" "Top Ten Manufacturers" "American Crystal Sugar Co","MN, ND" "Archer Daniels Midland","IA, IL, MN, NE" "Carmeuse Lime Stone Inc","AL, IN, KY, MI, OH, PA, TN, WI" "Cemex Inc","AL, CA, CO, FL, GA, KY, OH, TN, TX" "Dakota Gasification Company","ND" "Eastman Chemical

  9. SAS Output

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

    6. U.S. Coal Consumption by End Use Sector, Census Division, and State, 2014 and 2013" "(thousand short tons)" ,2014,,,,2013,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial",2014,2013,"Percent" "and

  10. SAS Output

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

    7. Year-End Coal Stocks by Sector, Census Division, and State, 2014 and 2013" "(thousand short tons)" ,2014,,,,,2013,,,,,"Total" "Census Division","Electric","Other","Coke","Commercial","Producer","Electric","Other","Coke","Commercial","Producer",2014,2013,"Percent" "and

  11. SAS Output

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

    8. Average Sales Price of Coal by State and Mine Type, 2014 and 2013" "(dollars per short ton)" ,2014,,,2013,,,"Percent Change" "Coal-Producing","Underground","Surface","Total","Underground","Surface","Total","Underground","Surface","Total" "State" "Alabama",89.68,79.42,87.17,88.19,88.24,88.2,1.7,-10,-1.2

  12. SAS Output

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

    the former utility members joined RFC. Reliability First Corporation (RFC) came into existence on January 1, 2006. RFC submitted a consolidated filing covering the historical NERC...

  13. SAS Output

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

    9.B. Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2013 Actual, 2014-2018 Projected Net...

  14. SAS Output

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

    8.B. Summer Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Assessment Area, 2013 Actual, 2014-2018 Projected Net...

  15. SAS Output

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

    Average Price of U.S. Steam Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",40.85,44.62,71.22,40.85,71.22,-42.6 " Canada*",85.43,69.79,74.16,85.43,74.16,15.2 " Dominican

  16. SAS Output

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

    U.S. Metallurgical Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",586002,1478020,446185,586002,446185,31.3 " Canada*",440922,1341068,339057,440922,339057,30 "

  17. SAS Output

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

    Average Price of U.S. Metallurgical Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",91.86,102.82,92.36,91.86,92.36,-0.5 " Canada*",88.1,104.16,87.3,88.1,87.3,0.9 "

  18. SAS Output

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

    U.S. Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","January - March","October - December","January - March",2016,2015,"Percent" ,2016,2015,2015,,,"Change" "Eastern Total",9472145,9165858,13595691,9472145,13595691,-30.3 " Baltimore, MD",3850539,2991709,4886468,3850539,4886468,-21.2 " Buffalo, NY",3381,570146,96786,3381,96786,-96.5 " New

  19. SAS Output

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

    Metallurgical Coal Exports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","January - March","October - December","January - March",2016,2015,"Percent" ,2016,2015,2015,,,"Change" "Eastern Total",7922195,7044057,10183046,7922195,10183046,-22.2 " Baltimore, MD",2990819,1811937,3344676,2990819,3344676,-10.6 " Buffalo, NY",196,566999,95591,196,95591,-99.8

  20. SAS Output

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

    U.S. Coal Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",240168,341205,171698,240168,171698,39.9 " Canada",239440,341189,171631,239440,171631,39.5 " Mexico",728,16,67,728,67,"NM" "South America

  1. SAS Output

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

    Price of U.S. Coal Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",71.92,104.33,107.02,71.92,107.02,-32.8 " Canada",71.93,104.32,107.01,71.93,107.01,-32.8 " Mexico",66.79,360.25,113.43,66.79,113.43,-41.1

  2. SAS Output

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

    Coal Production, 2010 - 2016" "(thousand short tons)" "Year","January - March","April - June","July - September","October - December","Total" 2010,265702,264982,277505,276180,1084368 2011,273478,264291,275006,282853,1095628 2012,266865,241047,258956,249591,1016458 2013,244867,243211,257595,239169,984842 2014,245271,245844,255377,253557,1000049 2015,240189,211130,237263,207355,895936

  3. SAS Output

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

    Coal Imports by Customs District" "(short tons)" ,,,,"Year to Date" "Customs District","January - March","October - December","January - March",2016,2015,"Percent" ,2016,2015,2015,,,"Change" "Eastern Total",312200,225584,520059,312200,520059,-40 " Baltimore, MD","-",10410,"-","-","-","-" " Boston,

  4. SAS Output

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

    1. U.S. Coke Imports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",2763,52115,2035,2763,2035,35.8 " Canada",2763,52115,2035,2763,2035,35.8 "Europe Total",1056,1156,14,1056,14,"NM" "

  5. SAS Output

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

    2. Average Price of U.S. Coke Imports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Origin",2016,2015,2015,,,"Change" "North America Total",181.85,113.11,213.82,181.85,213.82,-15 " Canada",181.85,113.11,213.82,181.85,213.82,-15 "Europe

  6. SAS Output

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

    by State" "(thousand short tons)" ,,,,"Year to Date" "Coal-Producing Region","January - March","October - December","January - March",2016,2015,"Percent" "and State",2016,2015,2015,,,"Change" "Alabama",2446,2298,4022,2446,4022,-39.2 "Alaska",310,328,265,310,265,16.7 "Arizona",1335,1376,1755,1335,1755,-23.9 "Arkansas",11,18,21,11,21,-48

  7. SAS Output

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

    U.S. Coal Exports and Imports, 2010 - 2016" "(thousand short tons)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports" 2010,17807,4803,21965,5058,21074,4680,20870,4811,81716,19353

  8. SAS Output

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

    Average Price of U.S. Coal Exports and Imports, 2010 - 2016" "(dollars per short ton)" ,"January - March",,"April - June",,"July - September",,"October - December",,"Total" "Year","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports","Exports","Imports"

  9. SAS Output

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

    Quantity and Average Price of U.S. Coal Imports by Origin, 2010 - 2016" "(short tons and dollars per short ton)" "Year and Quarter","Australia","Canada","Colombia","Indonesia","China","Venezuela","Other","Total" ,,,,,,,"Countries" 2010,380404,1766896,14583950,1904040,52869,581700,82828,19352687 2011,61745,1680490,9500387,856038,22128,778887,187931,13087606

  10. SAS Output

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

    U.S. Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",1373100,2359203,1865247,1373100,1865247,-26.4 " Canada*",608869,1671121,715703,608869,715703,-14.9 " Dominican Republic",19,"-",1745,19,1745,-98.9

  11. SAS Output

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

    Average Price of U.S. Coal Exports" "(dollars per short ton)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",62.62,81.09,76.28,62.62,76.28,-17.9 " Canada*",87.37,97.37,80.39,87.37,80.39,8.7 " Dominican

  12. SAS Output

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

    U.S. Steam Coal Exports" "(short tons)" ,,,,"Year to Date" "Continent and Country","January - March","October - December","January - March",2016,2015,"Percent" "of Destination",2016,2015,2015,,,"Change" "North America Total",787098,881183,1419062,787098,1419062,-44.5 " Canada*",167947,330053,376646,167947,376646,-55.4 " Dominican

  13. SAS Output

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

    3. Supply and Disposition of Electricity, 2004 through 2014 (From Chapter 2.) Supply (Million Megawatthours) Generation Year Electric Utilities IPP (Non-CHP) IPP (CHP) Commercial Sector Industrial Sector Total Imports Total Supply 2004 2,505 1,119 184 8 154 34 4,005 2005 2,475 1,247 180 8 145 44 4,099 2006 2,484 1,259 165 8 148 43 4,107 2007 2,504 1,324 177 8 143 51 4,208 2008 2,475 1,332 167 8 137 57 4,176 2009 2,373 1,278 159 8 132 52 4,003 2010 2,472 1,339 162 9 144 45 4,170 2011 2,461 1,331

  14. SAS Output

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

    . Number of Ultimate Customers Served by Sector, by Provider, 2004 through 2014 Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 118,763,768 16,606,783 747,600 1,025 136,119,176 2005 120,760,839 16,871,940 733,862 518 138,367,159 2006 122,471,071 17,172,499 759,604 791 140,403,965 2007 123,949,916 17,377,219 793,767 750 142,121,652 2008 125,037,837 17,582,382 774,808 726 143,395,753 2009 125,208,829 17,562,235 757,537 704 143,529,305 2010 125,717,935

  15. SAS Output

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

    2. Sales and Direct Use of Electricity to Ultimate Customers by Sector, by Provider, 2004 through 2014 (Megawatthours) Year Residential Commercial Industrial Transportation Total Direct Use Total End Use Total Electric Industry 2004 1,291,981,578 1,230,424,731 1,017,849,532 7,223,642 3,547,479,483 168,470,002 3,715,949,485 2005 1,359,227,107 1,275,079,020 1,019,156,065 7,506,321 3,660,968,513 150,015,531 3,810,984,044 2006 1,351,520,036 1,299,743,695 1,011,297,566 7,357,543 3,669,918,840

  16. SAS Output

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

    3. Revenue from Sales of Electricity to Ultimate Customers by Sector, by Provider, 2004 through 2014 (Million Dollars) Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 115,577 100,546 53,477 519 270,119 2005 128,393 110,522 58,445 643 298,003 2006 140,582 122,914 62,308 702 326,506 2007 148,295 128,903 65,712 792 343,703 2008 155,496 137,036 70,231 820 363,583 2009 157,044 132,747 62,670 828 353,289 2010 166,778 135,554 65,772 814 368,918 2011 166,714

  17. SAS Output

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

    4. Average Price of Electricity to Ultimate Customers by End-Use Sectors 2004 through 2014 (Cents per kilowatthour) Year Residential Commercial Industrial Transportation Total Total Electric Industry 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 9.54 8.90 2007 10.65 9.65 6.39 9.70 9.13 2008 11.26 10.26 6.96 10.71 9.74 2009 11.51 10.16 6.83 10.66 9.82 2010 11.54 10.19 6.77 10.56 9.83 2011 11.72 10.24 6.82 10.46 9.90 2012 11.88 10.09 6.67 10.21 9.84 2013 12.13

  18. SAS Output

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

    5. Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Thousand Megawatthours) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 1,291,982 1,230,425 1,017,850 7,224 3,547,479 2005 1,359,227 1,275,079 1,019,156 7,506 3,660,969 2006 1,351,520 1,299,744 1,011,298 7,358 3,669,919 2007 1,392,241 1,336,315 1,027,832 8,173 3,764,561 2008 1,380,662 1,336,133 1,009,516 7,653 3,733,965 2009 1,364,758 1,306,853 917,416 7,768

  19. SAS Output

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

    6. Revenue from Sales of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Million Dollars) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 115,577 100,546 53,477 519 270,119 2005 128,393 110,522 58,445 643 298,003 2006 140,582 122,914 62,308 702 326,506 2007 148,295 128,903 65,712 792 343,703 2008 155,496 137,036 70,231 820 363,583 2009 157,044 132,747 62,670 828 353,289 2010 166,778 135,554 65,772 814 368,918 2011 166,714

  20. SAS Output

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

    7. Average Price of Electricity to Ultimate Customers: Total by End-Use Sector, 2004 - December 2014 (Cents per Kilowatthour) Period Residential Commercial Industrial Transportation All Sectors Annual Totals 2004 8.95 8.17 5.25 7.18 7.61 2005 9.45 8.67 5.73 8.57 8.14 2006 10.40 9.46 6.16 9.54 8.90 2007 10.65 9.65 6.39 9.70 9.13 2008 11.26 10.26 6.96 10.71 9.74 2009 11.51 10.16 6.83 10.66 9.82 2010 11.54 10.19 6.77 10.56 9.83 2011 11.72 10.24 6.82 10.46 9.90 2012 11.88 10.09 6.67 10.21 9.84 2013

  1. SAS Output

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

    1. Electric Power Industry - Electricity Purchases, 2004 through 2014 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2005 2,760,043 3,250,298 12,201 69,744 6,092,285 2006 2,605,315 2,793,288 26,628 77,353 5,502,584 2007 2,504,002 2,805,833 24,942 76,646 5,411,422 2008 2,483,927 3,024,730 25,431 78,693 5,612,781 2009 2,364,648 2,564,407 27,922 71,669 5,028,647 2010 2,353,086 3,319,211 23,976 73,861 5,770,134

  2. SAS Output

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

    2. Electric Power Industry - Electricity Sales for Resale, 2004 through 2014 (Thousand Megawatthours) Year Electric Utilities Energy-Only Providers Independent Power Producers Combined Heat and Power U.S. Total 2004 1,923,440 3,756,175 1,053,364 25,996 6,758,975 2005 1,925,710 2,867,048 1,252,796 26,105 6,071,659 2006 1,698,389 2,446,104 1,321,342 27,638 5,493,473 2007 1,603,179 2,476,740 1,368,310 31,165 5,479,394 2008 1,576,976 2,718,661 1,355,017 30,079 5,680,733 2009 1,495,636 2,240,399

  3. SAS Output

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

    3. Electric Power Industry - U.S. Electricity Imports from and Electricity Exports to Canada and Mexico, 2004-2014 (Megawatthours) Canada Mexico U.S. Total Year Imports from Exports to Imports from Exports to Imports Exports 2004 33,007,487 22,482,109 1,202,576 415,754 34,210,063 22,897,863 2005 42,332,039 18,680,237 1,597,275 470,731 43,929,314 19,150,968 2006 41,544,052 23,405,387 1,147,258 865,948 42,691,310 24,271,335 2007 50,118,056 19,559,417 1,277,646 584,175 51,395,702 20,143,592 2008

  4. SAS Output

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

    A. Net Generation by Energy Source: Total (All Sectors), 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  5. SAS Output

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

    B. Net Generation from Renewable Sources: Total (All Sectors), 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  6. SAS Output

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

    A. Net Generation by Energy Source: Electric Utilities, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Annual Totals 2004 1,513,641 62,196 11,498 199,662 374 475,682 245,546 6 3,686 -7,526 467 2,505,231 2005 1,484,855 58,572 11,150 238,204 10 436,296 245,553 16 4,930

  7. SAS Output

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

    B. Net Generation from Renewable Sources: Electric Utilities, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  8. SAS Output

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

    A. Net Generation by Energy Source: Commercial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  9. SAS Output

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

    B. Net Generation from Renewable Sources: Commercial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  10. SAS Output

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

    A. Net Generation by Energy Source: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric and Solar Hydroelectric Pumped Storage Other Total Generation at Utility Scale Facilities Estimated Distributed Solar

  11. SAS Output

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

    B. Net Generation from Renewable Sources: Industrial Sector, 2004 - 2014 (Thousand Megawatthours) Generation at Utility Scale Facilities Distributed Generation Net Generation From Utility Scale Facilities and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and Wood-Derived Fuels Landfill Gas Biogenic Municipal Solid Waste Other Waste Biomass Geothermal Conventional Hydroelectric Total Renewable Generation at Utility Scale Facilities Estimated Distributed Solar

  12. SAS Output

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

    6. Net Generation by Energy Source: Residential Sector, 2014 (Thousand Megawatthours) Distributed Generation Period Estimated Distributed Solar Photovoltaic Generation Annual Totals 2014 4,243 Year 2014 January 226 February 238 March 328 April 361 May 402 June 410 July 431 August 431 September 404 October 382 November 319 December 311 See Glossary for definitions. Values are final. See Technical Notes for a discussion of the sample design for the Form EIA-923 and predecessor forms. Totals may

  13. SAS Output

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

    7. Utility Scale Facility Net Generation by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014 Year 2013

  14. SAS Output

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

    8. Utility Scale Facility Net Generation from Coal by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  15. SAS Output

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

    0. Utility Scale Facility Net Generation from Petroleum Coke by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  16. SAS Output

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

    1. Utility Scale Facility Net Generation from Natural Gas by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  17. SAS Output

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

    2. Utility Scale Facility Net Generation from Other Gases by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year

  18. SAS Output

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

    3. Utility Scale Facility Net Generation from Nuclear Energy by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change

  19. SAS Output

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

    4. Utility Scale Facility Net Generation from Hydroelectric (Conventional) Power by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013

  20. SAS Output

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

    5. Utility Scale Facility Net Generation from Renewable Sources Excluding Hydroelectric by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year

  1. SAS Output

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

    7. Utility Scale Facility Net Generation from Other Energy Sources by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage

  2. SAS Output

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

    8. Utility Scale Facility Net Generation from Wind by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  3. SAS Output

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

    9. Utility Scale Facility Net Generation from Biomass by State, by Sector, 2014 and 2013 (Thousand Megawatthours) All Sectors Electric Power Sector Commercial Sector Industrial Sector Electric Utilities Independent Power Producers Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Generation at Utility Scale Facilities Census Division and State Year 2014 Year 2013 Percentage Change Year 2014

  4. SAS Output

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

    3. Useful Thermal Output by Energy Source: Total Combined Heat and Power (All Sectors), 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 351,871 80,824 16,659 654,242 126,157 667,341 45,456 1,942,550 2005 341,806 79,362 13,021 624,008 138,469 664,691 41,400 1,902,757 2006 332,548 54,224 24,009 603,288 126,049 689,549 49,308 1,878,973 2007 326,803 50,882 25,373 554,394 116,313 651,230 46,822 1,771,816

  5. SAS Output

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

    4. Useful Thermal Output by Energy Source: Electric Power Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 39,014 5,731 2,486 239,416 18,200 17,347 3,822 326,017 2005 39,652 5,571 2,238 239,324 36,694 18,240 3,884 345,605 2006 38,133 4,812 2,253 207,095 22,567 17,284 4,435 296,579 2007 38,260 5,294 1,862 212,705 20,473 19,166 4,459 302,219 2008 37,220 5,479 1,353 204,167

  6. SAS Output

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

    5. Useful Thermal Output by Energy Source: Commercial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas Renewable Sources Other Total Annual Totals 2004 22,450 4,118 165 21,851 0 8,936 6,350 63,871 2005 22,601 3,518 166 20,227 0 8,647 5,921 61,081 2006 22,186 2,092 172 19,370 0.22 9,359 6,242 59,422 2007 22,595 1,640 221 20,040 0 6,651 3,983 55,131 2008 22,991 1,822 177 20,183 0 8,863 6,054 60,091 2009 20,057 1,095 155

  7. SAS Output

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

    . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources within Plant, 2004 through 2014 Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewables Hydroelectric Pumped Storage Other Energy Sources Total (All Sectors) 2004 625 1,143 1,670 46 66 1,425 749 39 28 2005 619 1,133 1,664 44 66 1,422 781 39 29 2006 616 1,148 1,659 46 66 1,421 843 39 29 2007 606 1,163 1,659 46 66 1,424 929 39 25 2008 598 1,170 1,655 43 66 1,423 1,076

  8. SAS Output

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

    A. Existing Net Summer Capacity by Energy Source and Producer Type, 2004 through 2014 (Megawatts) Year Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Other Renewable Sources Hydroelectric Pumped Storage Other Energy Sources Total Total (All Sectors) 2004 313,020.0 59,119.0 371,011.0 2,296.0 99,628.0 77,641.0 18,717.0 20,764.0 746.0 962,942.0 2005 313,380.0 58,548.0 383,061.0 2,063.0 99,988.0 77,541.0 21,205.0 21,347.0 887.0 978,020.0 2006 312,956.0 58,097.0 388,294.0

  9. SAS Output

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

    B. Existing Net Summer Capacity of Other Renewable Sources by Producer Type, 2004 through 2014 (Megawatts) Year Wind Solar Thermal and Photovoltaic Wood and Wood-Derived Fuels Geothermal Other Biomass Total (Other Renewable Sources) Total (All Sectors) 2004 6,456.0 398.0 6,182.0 2,152.0 3,529.0 18,717.0 2005 8,706.0 411.0 6,193.0 2,285.0 3,609.0 21,205.0 2006 11,329.0 411.0 6,372.0 2,274.0 3,727.0 24,113.0 2007 16,515.0 502.0 6,704.0 2,214.0 4,134.0 30,069.0 2008 24,651.0 536.0 6,864.0 2,229.0

  10. SAS Output

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

    3. Existing Capacity by Energy Source, 2014 (Megawatts) Energy Source Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Coal 1,145 325,831.5 299,094.2 300,699.8 Petroleum 3,573 46,897.8 41,135.4 44,739.7 Natural Gas 5,727 495,120.2 432,150.3 464,784.7 Other Gases 93 2,227.6 1,914.3 1,889.9 Nuclear 99 103,860.4 98,569.3 100,610.3 Hydroelectric Conventional 4,029 78,792.9 79,677.3 79,090.6 Wind 1,032 65,300.1 64,231.5 64,325.1 Solar Thermal and Photovoltaic

  11. SAS Output

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

    4. Existing Capacity by Producer Type, 2014 (Megawatts) Producer Type Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Electric Power Sector Electric Utilities 9,510 675,675.4 616,631.5 637,857.0 Independent Power Producers, Non-Combined Heat and Power Plants 6,975 423,782.6 387,561.6 401,581.5 Independent Power Producers, Combined Heat and Power Plants 559 37,890.2 33,362.6 35,972.8 Total 17,044 1,137,348.2 1,037,555.7 1,075,411.3 Commercial and

  12. SAS Output

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

    5. Planned Generating Capacity Changes, by Energy Source, 2015-2019 Generator Additions Generator Retirements Net Capacity Additions Energy Source Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity Number of Generators Net Summer Capacity Year 2015 U.S. Total 704 21,965.9 234 18,351.4 470 3,614.5 Coal 2 52.2 95 13,325.5 -93 -13,273.3 Petroleum 24 24.2 44 902.8 -20 -878.6 Natural Gas 76 6,192.8 61 3,964.2 15 2,228.6 Other Gases -- -- -- -- -- -- Nuclear 1 1,122.0 --

  13. SAS Output

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

    6. Capacity Additions, Retirements and Changes by Energy Source, 2014 (Count, Megawatts) Generator Additions Generator Retirements Energy Source Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Number of Generators Generator Nameplate Capacity Net Summer Capacity Net Winter Capacity Coal 1 106.2 52.0 52.0 53 5,083.4 4,489.7 4,552.3 Petroleum 28 62.2 62.0 62.0 55 1,261.0 1,018.6 1,120.0 Natural Gas 92 9,275.2 8,300.8 8,849.5 87 4,184.5 3,834.4 3,918.8

  14. SAS Output

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

    7.A. Net Summer Capacity of Utility Scale Units by Technology and by State, 2014 and 2013 (Megawatts) Census Division and State Renewable Sources Fossil Fuels Hydroelectric Pumped Storage Other Energy Storage Nuclear All Other Sources All Sources Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 4,577.6 4,403.4 22,853.0 23,564.2 1,775.4 1,753.4 3.0 3.0 4,046.3 4,645.4 52.9 52.9 33,308.2 34,422.3

  15. SAS Output

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

    B. Net Summer Capacity Using Primarily Renewable Energy Sources and by State, 2014 and 2013 (Megawatts) Summer Capacity at Utility Scale Facilities Distributed Capacity Summer Capacity From Utility Scale Facilities and Distributed Capacity Census Division and State Wind Solar Photovoltaic Solar Thermal Conventional Hydroelectric Biomass Sources Geothermal Total Renewable Sources Estimated Distributed Solar Photovoltaic Capacity Estimated Total Solar Photovoltaic Capacity Estimated Total Solar

  16. SAS Output

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

    7.C. Net Summer Capacity of Utility Scale Units Using Primarily Fossil Fuels and by State, 2014 and 2013 (Megawatts) Census Division and State Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Other Natural Gas Coal Petroleum Coke Petroleum Liquids Other Gases Total Fossil Fuels Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 11,742.0 11,720.9 1,110.1

  17. SAS Output

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

    A. Capacity Factors for Utility Scale Generators Primarily Using Fossil Fuels, January 2013-December 2014 Coal Natural Gas Petroleum Period Natural Gas Fired Combined Cycle Natural Gas Fired Combustion Turbine Steam Turbine Internal Combustion Engine Steam Turbine Petroleum Liquids Fired Combustion Turbine Internal Combustion Engine Annual Factors 2013 59.7% 48.2% 4.9% 10.6% 6.1% 12.1% 0.8% 2.2% 2014 61.0% 48.3% 5.2% 10.4% 8.5% 12.5% 1.1% 1.4% Year 2013 January 61.2% 46.3% 3.6% 7.3% 4.6% 10.0%

  18. SAS Output

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

    9. Total Capacity of Distributed and Dispersed Generators by Technology Type, 2005 through 2014 Capacity (MW) Year Internal Combustion Combustion Turbine Steam Turbine Hydro Wind Photovoltaic Storage Other Wind and Other Total Number of Generators Distributed Generators 2005 4,025.0 1,917.0 1,830.0 999.0 -- -- -- -- 995.0 9,766.0 17,371 2006 3,646.0 1,298.0 2,582.0 806.0 -- -- -- -- 1,081.0 9,411.0 5,044 2007 4,624.0 1,990.0 3,596.0 1,051.0 -- -- -- -- 1,441.0 12,702.0 7,103 2008 5,112.0 1,949.0

  19. SAS Output

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

    0. Net Metering Customers and Capacity by Technology Type, by End Use Sector, 2004 through 2014 Capacity (MW) Customers Year Residential Commercial Industrial Transportation Total Residential Commercial Industrial Transportation Total Historical Data 2004 N/A N/A N/A N/A N/A 14,114 1,494 215 3 15,826 2005 N/A N/A N/A N/A N/A 19,244 1,565 337 -- 21,146 2006 N/A N/A N/A N/A N/A 30,689 2,553 376 -- 33,618 2007 N/A N/A N/A N/A N/A 44,450 3,513 391 -- 48,354 2008 N/A N/A N/A N/A N/A 64,400 5,305 304

  20. SAS Output

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

    1. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Natural Gas as the Primary Fuel Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Petroleum Liquids Fuel Switchable Net

  1. SAS Output

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

    2. Fuel-Switching Capacity of Operable Generators Reporting Petroleum Liquids as the Primary Fuel, by Producer Type, 2014 (Megawatts, Percent) Fuel-Switchable Part of Total Producer Type Total Net Summer Capacity of All Generators Reporting Petroleum Liquids as the Primary Fuel Net Summer Capacity of Petroleum Liquids-Fired Generators Reporting the Ability to Switch to Natural Gas Fuel Switchable Capacity as Percent of Total Maximum Achievable Net Summer Capacity Using Natural Gas Electric

  2. SAS Output

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

    3. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Type of Prime Mover, 2014 (Megawatts, Percent) Prime Mover Type Number of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to Petroleum Liquids Steam Generator 178

  3. SAS Output

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

    4. Fuel-Switching Capacity of Operable Generators Reporting Natural Gas as the Primary Fuel, by Year of Initial Commercial Operation, 2014 (Megawatts, Percent) Year of Initial Commercial Operation Number of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Net Summer Capacity of Natural Gas-Fired Generators Reporting the Ability to Switch to Petroleum Liquids Fuel Switchable Net Summer Capacity Reported to Have No Factors that Limit the Ability to Switch to

  4. SAS Output

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

    A. Coal: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,020,523 772,224 240,235 377 7,687 2005 1,041,448 761,349 272,218 377 7,504 2006 1,030,556 753,390 269,412 347 7,408 2007 1,046,795 764,765 276,581 361 5,089 2008 1,042,335 760,326 276,565 369 5,075 2009 934,683 695,615 234,077 317 4,674 2010 979,684 721,431

  5. SAS Output

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

    B. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 24,275 0 3,809 1,540 18,926 2005 23,833 0 3,918 1,544 18,371 2006 23,227 0 3,834 1,539 17,854 2007 22,810 0 3,795 1,566 17,449 2008 22,168 0 3,689 1,652 16,827 2009 20,507 0 3,935 1,481 15,091 2010 21,727 0 3,808 1,406 16,513 2011 21,532 0 3,628 1,321 16,584

  6. SAS Output

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

    D. Coal: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 20,375,751 15,610,335 4,606,584 8,251 150,581 2005 20,801,716 15,397,688 5,250,824 8,314 144,889 2006 20,527,410 15,211,077 5,166,001 7,526 142,807 2007 20,841,871 15,436,110 5,287,202 7,833 110,727 2008 20,548,610 15,189,050 5,242,194 8,070 109,296 2009

  7. SAS Output

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

    E. Coal: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 564,497 0 87,981 34,538 441,978 2005 548,666 0 88,364 34,616 425,685 2006 532,561 0 84,335 34,086 414,140 2007 521,717 0 83,838 34,690 403,189 2008 503,096 0 81,416 36,163 385,517 2009 462,674 0 90,867 32,651 339,156 2010 490,931 0 90,184 30,725 370,022 2011

  8. SAS Output

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

    A. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 165,107 103,793 56,342 760 4,212 2005 165,137 98,223 62,154 580 4,180 2006 73,821 53,529 17,179 327 2,786 2007 82,433 56,910 22,793 250 2,480 2008 53,846 38,995 13,152 160 1,538 2009 43,562 31,847 9,880 184 1,652 2010 40,103 30,806 8,278 164 855

  9. SAS Output

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

    B. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 20,654 0 1,501 1,203 17,951 2005 20,494 0 1,392 1,004 18,097 2006 14,077 0 1,153 559 12,365 2007 13,462 0 1,303 441 11,718 2008 7,533 0 1,311 461 5,762 2009 8,128 0 1,301 293 6,534 2010 4,866 0 1,086 212 3,567 2011 3,826 0 1,004 168 2,654 2012

  10. SAS Output

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

    D. Petroleum Liquids: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,031,954 651,712 350,093 4,544 25,606 2005 1,035,045 618,811 387,355 3,469 25,410 2006 459,392 335,130 105,312 1,963 16,987 2007 512,423 355,999 139,977 1,505 14,942 2008 332,367 242,379 79,816 957 9,215 2009 266,508 196,346 59,277 1,101 9,784 2010

  11. SAS Output

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

    E. Petroleum Liquids: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 124,809 0 8,592 7,219 108,997 2005 125,689 0 8,134 6,145 111,410 2006 87,137 0 6,740 3,481 76,916 2007 82,768 0 7,602 2,754 72,412 2008 45,481 0 7,644 2,786 35,051 2009 48,912 0 7,557 1,802 39,552 2010 29,243 0 6,402 1,297 21,545 2011 22,799 0 5,927

  12. SAS Output

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

    A. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 7,677 4,150 2,985 1 541 2005 8,330 4,130 3,746 1 452 2006 7,363 3,619 3,286 1 456 2007 6,036 2,808 2,715 2 512 2008 5,417 2,296 2,704 1 416 2009 4,821 2,761 1,724 1 335 2010 4,994 3,325 1,354 2 313 2011 5,012 3,449 1,277 1 286 2012 3,675 2,105 756 1

  13. SAS Output

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

    B. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,043 0 237 8 798 2005 783 0 206 8 568 2006 1,259 0 195 9 1,055 2007 1,262 0 162 11 1,090 2008 897 0 119 9 769 2009 1,007 0 126 8 873 2010 1,059 0 98 11 950 2011 1,080 0 112 6 962 2012 1,346 0 113 11 1,222 2013 1,486 0 96 11 1,379 2014 1,283 3 90 16

  14. SAS Output

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

    D. Petroleum Coke: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 216,047 116,086 83,979 33 15,949 2005 234,217 115,727 105,163 33 13,295 2006 208,518 102,117 92,643 33 13,726 2007 170,166 77,941 77,135 45 15,045 2008 152,933 64,843 76,416 37 11,638 2009 136,474 77,919 48,776 32 9,747 2010 141,774 94,331 38,235 44

  15. SAS Output

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

    E. Petroleum Coke: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 29,342 0 6,768 226 22,347 2005 22,224 0 5,935 228 16,061 2006 38,169 0 5,672 236 32,262 2007 38,033 0 4,710 303 33,019 2008 27,100 0 3,441 243 23,416 2009 29,974 0 3,652 213 26,109 2010 31,303 0 2,855 296 28,152 2011 31,943 0 3,244 153 28,546 2012

  16. SAS Output

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

    A. Natural Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 5,674,580 1,809,443 3,265,896 32,839 566,401 2005 6,036,370 2,134,859 3,349,921 33,785 517,805 2006 6,461,615 2,478,396 3,412,826 34,623 535,770 2007 7,089,342 2,736,418 3,765,194 34,087 553,643 2008 6,895,843 2,730,134 3,612,197 33,403 520,109 2009

  17. SAS Output

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

    B. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,052,100 0 388,424 39,233 624,443 2005 984,340 0 384,365 34,172 565,803 2006 942,817 0 330,878 33,112 578,828 2007 872,579 0 339,796 35,987 496,796 2008 793,537 0 326,048 32,813 434,676 2009 816,787 0 305,542 41,275 469,970 2010 821,775 0 301,769

  18. SAS Output

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

    D. Natural Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 5,827,470 1,857,247 3,351,469 33,623 585,132 2005 6,212,116 2,198,098 3,444,875 34,645 534,498 2006 6,643,926 2,546,169 3,508,597 35,473 553,687 2007 7,287,714 2,808,500 3,872,646 34,872 571,697 2008 7,087,191 2,803,283 3,712,872 34,138 536,899 2009

  19. SAS Output

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

    E. Natural Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,085,191 0 398,476 40,122 646,593 2005 1,008,404 0 392,842 35,037 580,525 2006 968,574 0 339,047 33,928 595,599 2007 894,272 0 347,181 36,689 510,402 2008 813,794 0 333,197 33,434 447,163 2009 836,863 0 312,553 42,032 482,279 2010 841,521 0 308,246 47,001

  20. SAS Output

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

    D. Wood / Wood Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 344,134 19,973 130,248 168 193,745 2005 355,250 27,373 138,407 207 189,263 2006 350,074 27,455 135,546 269 186,803 2007 353,025 31,568 132,953 284 188,220 2008 338,786 29,150 130,122 287 179,227 2009 320,444 29,565 130,894 274 159,712 2010

  1. SAS Output

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

    E. Wood / Wood Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,016,124 0 14,968 1,493 999,663 2005 997,331 0 19,193 1,028 977,111 2006 1,049,161 0 18,814 1,045 1,029,303 2007 982,486 0 21,435 1,756 959,296 2008 923,889 0 18,075 1,123 904,690 2009 816,285 0 19,587 1,135 795,563 2010 876,041 0 18,357

  2. SAS Output

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

    A. Landfill Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 143,844 11,250 125,848 4,081 2,665 2005 141,899 11,490 123,064 4,797 2,548 2006 160,033 16,617 136,108 6,644 664 2007 166,774 17,442 144,104 4,598 630 2008 195,777 20,465 169,547 5,235 530 2009 206,792 19,583 180,689 5,931 589 2010 218,331 19,975

  3. SAS Output

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

    B. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,174 0 735 10 1,429 2005 1,923 0 965 435 522 2006 2,051 0 525 1,094 433 2007 1,988 0 386 1,102 501 2008 1,025 0 454 433 138 2009 793 0 545 176 72 2010 1,623 0 1,195 370 58 2011 3,195 0 2,753 351 91 2012 3,189 0 2,788 340 61 2013 831 0 261 423 147

  4. SAS Output

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

    D. Landfill Gas: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 69,331 5,373 60,514 2,093 1,351 2005 67,902 5,650 58,624 2,360 1,269 2006 75,970 8,287 63,950 3,388 345 2007 79,712 8,620 68,432 2,344 316 2008 94,215 10,242 81,029 2,668 276 2009 99,821 9,748 86,773 2,999 301 2010 105,835 10,029 92,763 2,837 205 2011

  5. SAS Output

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

    E. Landfill Gas: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,158 0 415 5 738 2005 994 0 519 212 263 2006 1,034 0 267 549 218 2007 985 0 226 532 228 2008 552 0 271 211 70 2009 440 0 313 91 37 2010 847 0 643 174 30 2011 1,635 0 1,422 165 48 2012 1,630 0 1,441 156 32 2013 414 0 132 206 76 2014 852 88 266 326 173

  6. SAS Output

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

    D. Biogenic Municipal Solid Waste: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 141,577 3,705 124,815 12,909 146 2005 144,339 4,724 126,529 12,923 164 2006 146,987 4,078 129,779 12,964 165 2007 146,308 4,557 127,826 13,043 881 2008 148,452 4,476 130,041 13,934 0 2009 146,971 3,989 126,649 16,333 0 2010 144,934

  7. SAS Output

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

    E. Biogenic Municipal Solid Waste: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,991 0 4,746 12,295 2,950 2005 20,296 0 4,551 11,991 3,754 2006 21,729 0 5,347 12,654 3,728 2007 16,174 0 5,683 8,350 2,141 2008 18,272 0 6,039 12,174 59 2009 18,785 0 6,229 11,535 1,021 2010 17,502 0 6,031 10,333 1,138 2011 16,766 0

  8. SAS Output

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

    D. Other Waste Biomass: Consumption for Electricity Generation, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,215 2,014 9,240 4,308 3,654 2005 17,852 2,485 7,365 4,677 3,325 2006 17,727 2,611 7,788 4,436 2,893 2007 19,083 2,992 8,861 4,049 3,181 2008 24,288 3,409 12,745 3,684 4,450 2009 24,847 3,679 13,231 3,760 4,177 2010 29,996 3,668 14,449 3,790

  9. SAS Output

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

    E. Other Waste Biomass: Consumption for Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 30,228 0 12,055 2,627 15,547 2005 38,010 0 10,275 2,086 25,649 2006 36,966 0 8,561 2,318 26,087 2007 41,757 0 10,294 2,643 28,820 2008 41,851 0 9,674 1,542 30,635 2009 41,810 0 10,355 1,638 29,817 2010 47,153 0 8,436 1,648 37,070 2011 43,483 0

  10. SAS Output

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

    1. Consumption of Petroleum Coke for Electricity Generation by State, by Sector, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0

  11. SAS Output

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

    2. Consumption of Nautral Gas for Electricity Generation by State, by Sector, 2014 and 2013 (Million Cubic Feet) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 356,658 388,323 -8.2% 3,585 2,587 330,872 354,489 9,416 8,407 12,786 22,839 Connecticut 108,833 115,211 -5.5% 121

  12. SAS Output

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

    1. Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, 2004 - 2014 Electric Power Sector Electric Utilities Independent Power Producers Period Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) Coal (Thousand Tons) Petroluem Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) End of Year Stocks 2004 106,669 46,750 937 84,917 29,144 627

  13. SAS Output

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

    3 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by Census Divison, 2014 and 2013 Electric Power Sector Electric Utilities Independent Power Producers Census Division December 2014 December 2013 Percentage Change December 2014 December 2013 December 2014 December 2013 Coal (Thousand Tons) New England 1,611 1,129 42.7% W W W W Middle Atlantic 8,079 5,973 35.3% W 0 W 5,973 East North Central 33,839 28,279 19.7% 23,394 22,076 10,446 6,203 West North Central 20,648

  14. SAS Output

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

    4. Stocks of Coal by Coal Rank: Electric Power Sector, 2004 - 2014 Electric Power Sector Period Bituminous Coal Subbituminous Coal Lignite Coal Total End of Year Stocks 2004 49,022 53,618 4,029 106,669 2005 52,923 44,377 3,836 101,137 2006 67,760 68,408 4,797 140,964 2007 63,964 82,692 4,565 151,221 2008 65,818 91,214 4,556 161,589 2009 91,922 92,448 5,097 189,467 2010 81,108 86,915 6,894 174,917 2011 82,056 85,151 5,179 172,387 2012 86,437 93,833 4,846 185,116 2013 73,113 69,720 5,051 147,884

  15. SAS Output

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

    . Receipts, Average Cost, and Quality of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas All Fossil Fuels Average Cost Average Cost Average Cost Average Cost Period Receipts (Thousand Tons) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Ton) Receipts (Thousand Barrels) Average Sulfur Percent by Weight (Dollars per MMBtu) (Dollars per Barrel) Receipts (Thousand Mcf) (Dollars per MMBtu) (Dollars per MMBtu) 2004 1,002,032 0.97 1.36 27.42

  16. SAS Output

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

    . Receipts and Quality of Coal Delivered for the Electric Power Industry, 2004 through 2014 Bituminous Subbituminous Lignite Period Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight Receipts (Thousand Tons) Average Sulfur Percent by Weight Average Ash Percent by Weight 2004 470,619 1.52 10.4 445,603 0.36 6.0 78,268 1.05 14.2 2005 480,179 1.56 10.5 456,856 0.36 6.2 77,677

  17. SAS Output

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

    3. Average Quality of Fossil Fuel Receipts for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas Period Average Btu per Pound Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Gallon Average Sulfur Percent by Weight Average Ash Percent by Weight Average Btu per Cubic Foot 2004 10,074 0.97 9.0 147,286 1.66 0.2 1,027 2005 10,107 0.98 9.0 146,481 1.61 0.2 1,028 2006 10,063 0.97 9.0 143,883 2.31 0.2 1,027 2007 10,028 0.96 8.8 144,546 2.10 0.1

  18. SAS Output

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

    4. Weighted Average Cost of Fossil Fuels for the Electric Power Industry, 2004 through 2014 Coal Petroleum Natural Gas Total Fossil Bituminous Subbituminous Lignite All Coal Ranks Period Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu) Average Cost (Dollars per MMBtu) Receipts (Trillion Btu)

  19. SAS Output

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

    5. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 15,440,681 758,557 1.34 27.30 0.91 98.2 592,478 93,034 4.80

  20. SAS Output

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

    6. Receipts, Average Cost, and Quality of Fossil Fuels: Electric Utilities, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 107,985 3,817 0.89 25.15 5.10

  1. SAS Output

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

    7 Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 4,410,775 227,700 1.41 27.27 1.13 93.3 337,011

  2. SAS Output

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

    8. Receipts, Average Cost, and Quality of Fossil Fuels: Independent Power Producers, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 73,745 2,609 0.72 20.30

  3. SAS Output

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

    9. Receipts, Average Cost, and Quality of Fossil Fuels: Commercial Sector, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 10,682 451 2.08 49.32 2.48 23.5 3,066 527 6.19 35.96 0.20

  4. SAS Output

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

    0. Receipts, Average Cost, and Quality of Fossil Fuels: Commerical Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 0 0 -- -- -- 0.0 16,176 15,804

  5. SAS Output

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

    1. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 Coal Petroleum Liquids Receipts Average Cost Receipts Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMBtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Barrels) (Dollars per MMBtu) (Dollars per Barrel) Average Sulfur Percent by Weight Percentage of Consumption Annual Totals 2004 326,495 15,324 1.63 34.79 1.43 57.6 25,491 4,107 4.98 30.93

  6. SAS Output

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

    2. Receipts, Average Cost, and Quality of Fossil Fuels: Industrial Sector, 2004 - 2014 (continued) Petroleum Coke Natural Gas All Fossil Fuels Receipts Average Cost Receipts Average Cost Average Cost Period (Billion Btu) (Thousand Tons) (Dollars per MMbtu) (Dollars per Ton) Average Sulfur Percent by Weight Percentage of Consumption (Billion Btu) (Thousand Mcf) (Dollars per MMBtu) (Dollars per Mcf) Percentage of Consumption (Dollars per MMBtu) Annual Totals 2004 14,876 540 0.98 27.01 5.59 40.4

  7. SAS Output

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

    5. Receipts of Petroleum Coke Delivered for Electricity Generation by State, 2014 and 2013 (Thousand Tons) Electric Power Sector Census Division and State All Sectors Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 0 0 -- 0 0 0 0 0 0 0 0 Connecticut 0 0 -- 0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0

  8. SAS Output

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

    8.1. Average Operating Heat Rate for Selected Energy Sources, 2004 through 2014 (Btu per Kilowatthour) Year Coal Petroleum Natural Gas Nuclear 2004 10331 10571 8647 10428 2005 10373 10631 8551 10436 2006 10351 10809 8471 10435 2007 10375 10794 8403 10489 2008 10378 11015 8305 10452 2009 10414 10923 8160 10459 2010 10415 10984 8185 10452 2011 10444 10829 8152 10464 2012 10498 10991 8039 10479 2013 10459 10713 7948 10449 2014 10428 10814 7907 10459 Coal includes anthracite, bituminous,

  9. SAS Output

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

    2. Average Tested Heat Rates by Prime Mover and Energy Source, 2007 - 2014 (Btu per Kilowatthour) Prime Mover Coal Petroluem Natural Gas Nuclear 2007 Steam Generator 10,158 10,398 10,440 10,489 Gas Turbine -- 13,217 11,632 -- Internal Combustion -- 10,447 10,175 -- Combined Cycle W 10,970 7,577 -- 2008 Steam Generator 10,138 10,356 10,377 10,452 Gas Turbine -- 13,311 11,576 -- Internal Combustion -- 10,427 9,975 -- Combined Cycle W 10,985 7,642 -- 2009 Steam Generator 10,150 10,349 10,427 10,459

  10. SAS Output

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

    3. Revenue and Expense Statistics for Major U.S. Investor-Owned Electric Utilities, 2004 through 2014 (Million Dollars) Description 2004 2005 2006 2007 2008 2009 Utility Operating Revenues 238,759 265,652 275,501 270,964 298,962 276,124 ......Electric Utility 213,012 234,909 246,736 240,864 266,124 249,303 ......Other Utility 25,747 30,743 28,765 30,100 32,838 26,822 Utility Operating Expenses 206,960 236,786 245,589 241,198 267,263 244,243 ......Electric Utility 183,121 207,830 218,445 213,076

  11. SAS Output

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

    4. Average Power Plant Operating Expenses for Major U.S. Investor-Owned Electric Utilities, 2004 through 2014 (Mills per Kilowatthour) Operation Maintenance Year Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale Nuclear Fossil Steam Hydro-electric Gas Turbine and Small Scale 2004 8.97 3.13 3.83 4.27 5.38 2.96 2.76 2.14 2005 8.26 3.21 3.95 3.69 5.27 2.98 2.73 1.89 2006 9.03 3.57 3.76 3.51 5.69 3.19 2.70 2.16 2007 9.54 3.63 5.44 3.26 5.79 3.37 3.87 2.42 2008 9.89 3.72 5.78 3.77 6.20

  12. SAS Output

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

    1. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants 2004 through 2014 (Thousand Metric Tons) Year Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) 2004 2,486,982 10,309 4,143 2005 2,543,838 10,340 3,961 2006 2,488,918 9,524 3,799 2007 2,547,032 9,042 3,650 2008 2,484,012 7,830 3,330 2009 2,269,508 5,970 2,395 2010 2,388,596 5,400 2,491 2011 2,287,071 4,845 2,406 2012 2,156,875 3,704 2,148 2013 2,172,355 3,609 2,188 2014 2,166,603

  13. SAS Output

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

    4. Average Costs of Existing Flue Gas Desulfurization Units Operating in Electric Power Sector, 2004 - 2014 Year Average Operation and Maintenance Costs (Dollars per Megawatthour) Average Installed Capital Costs (Dollars per Kilowatt) 2004 1.25 43.25 2005 1.37 142.67 2006 -- 149.62 2007 1.26 240.68 2008 1.44 265.83 2009 1.44 357.46 2010 1.52 360.69 2011 1.79 410.62 2012 1.87 275.49 2013 1.74 235.42 2014 1.84 227.29 Notes: Average Installed Capital Costs reflect units which began operating in the

  14. SAS Output

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

    8. Demand Response - Yearly Energy and Demand Savings Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Number of Customers Enrolled 2013 8,419,233 611,826 155,893 398 9,187,350 2014 8,603,402 605,094 57,129 4 9,265,629 Energy Savings (MWh) 2013 799,743 486,348 115,895 1 1,401,987 2014 881,563 462,337 92,549 -- 1,436,449 Potential Peak Demand Savings (MW) 2013 7,003 5,124 14,800 168 27,095 2014 8,118 6,215 16,505 353 31,191 Actual Peak Demand

  15. SAS Output

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

    9. Demand Response - Program Costs Category, by Sector, 2013 through 2014 Year Residential Commercial Industrial Transportation Total Customer Incentives (thousand dollars) 2013 398,598 286,057 421,208 6,919 1,112,782 2014 345,894 345,435 514,751 11,716 1,217,796 All Other Costs (thousand dollars) 2013 338,353 95,748 50,982 50 485,133 2014 301,389 101,127 45,028 115 447,659

  16. SAS Output

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

    0. Advanced Metering Count by Technology Type, 2007 through 2014 Year Residential Commercial Industrial Transportation Total Automated Meter Reading (AMR) 2007 25,785,782 2,322,329 44,015 109 28,152,235 2008 36,425,943 3,529,985 77,122 13 40,033,063 2009 41,462,111 4,239,531 107,033 11 45,808,686 2010 43,913,225 4,611,877 159,315 626 48,685,043 2011 41,451,888 4,341,105 172,692 77 45,965,762 2012 43,455,437 4,691,018 185,862 125 48,330,822 2013 42,491,242 4,632,744 196,132 1,202 47,321,320 2014

  17. SAS Output

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

    3. Carbon Dioxide Uncontrolled Emission Factors Fuel EIA Fuel Code Factor (Kilograms of CO2 Per Million Btu)*** Notes Bituminous Coal BIT 93.3 Distillate Fuel Oil DFO 73.16 Geothermal GEO 7.71 Jet Fuel JF 70.9 Kerosene KER 72.3 Lignite Coal LIG 97.7 Municipal Solid Waste MSW 41.69 Natural Gas NG 53.07 Petroleum Coke PC 102.1 Propane Gas PG 63.07 Residual Fuel Oil RFO 78.79 Coal-Derived Synthesis Gas SGC 53.07 Assumed to have emissions similar to Natural Gas Synthesis Gas from Petroleum Coke SGP

  18. SAS Output

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

    4. Nitrogen Oxides Control Technology Emissions Reduction Factors Reduction Factor Nitrogen Oxides Control Technology EIA Code Coal Residual Fuel Oil and Distallate Fuel Oil Natural Gas Wood Other Solids Other Liquids Other Gases Other Fuels Burner Out of Service BO 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Low Excess Air LA 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Biased Firing (Alternative Burners) BF 0.15 0.15 0.15 0.15 0.15 0.15 0.15 0.15 Overfire Air OV 0.25 0.25 0.25 0.25 0.25 0.25 0.25 0.25

  19. SAS Output

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

    5. Unit of Measure Equivalents Unit Equivalent Kilowatt (kW) 1,000 (One Thousand) Watts Megawatt (MW) 1,000,000 (One Million) Watts Gigawatt (GW) 1,000,000,000 (One Billion) Watts Terawatt (TW) 1,000,000,000,000 (One Trillion) Watts Gigawatt 1,000,000 (One Million) Kilowatts Thousand Gigawatts 1,000,000,000 (One Billion) Kilowatts Kilowatthours (kWh) 1,000 (One Thousand) Watthours Megawatthours (MWh) 1,000,000 (One Million) Watthours Gigawatthours (GWh) 1,000,000,000 (One Billion) Watthours

  20. SAS Output

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

    Reliability web page: http:www.eia.govcneafelectricitypageeia411eia411.html Projected data are updated annually. Net Energy for Load represents net Balancing...

  1. SAS Output

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

    Weeks Ended" "Coal-Producing Region & State","applicationvnd.ms-excel","applicationvnd.ms-excel","applicationvnd.ms-excel","applicationvnd.ms-excel","application...

  2. SAS Output

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

    per short ton)" "Mine Production Range (thousand short tons)","Underground","Surface","Total" "Over 1,000",53.25,18.86,30.21 "Over 500 to 1,000",71.1,54.14,63.75 "Over 200 ...

  3. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Generation by Energy Source: Independent Power Producers, 2004 - 2014 (Thousand ... Gas Nuclear Hydroelectric Conventional Solar Renewable Sources Excluding Hydroelectric ...

  4. SAS Output

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

    from Renewable Sources: Independent Power Producers, 2004 - 2014 (Thousand ... and Distributed Generation Period Wind Solar Photovoltaic Solar Thermal Wood and ...

  5. SAS Output

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

    15.1% 5.6% 65.4% 60.8% 75.5% Values are final. NA Not Available Notes: Solar Thermal Capacity Factors include generation from plants using concentrated solar power energy storage

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    A. U.S. Transmission Circuit Outages by Type and NERC region, 2013 Outage Type FRCC MRO NPCC RFC SERC SPP TRE WECC Contiguous U.S. Circuit Outage Counts Automatic Outages...

  7. SAS Output

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

    ...1,2730243,2501775,10875372,11870666,-8.4 " Charleston, SC",124,148,1030,563,2223,-74.7 " El Paso, TX",25988,44883,167,122862,7508,"NM" " Houston-Galveston, TX",113426,232428,225146...

  8. SAS Output

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

    6. Useful Thermal Output by Energy Source: Industrial Sector Combined Heat and Power, 2004 - 2014 (Billion Btus) Period Coal Petroleum Liquids Petroleum Coke Natural Gas Other Gas ...

  9. SAS Output

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

    0 0 1,518 1,406 Massachusetts 3,491 3,282 3,827 2,521 1,014 2,169 32 47 8,364 8,020 New Hampshire 791 744 640 611 235 225 0 0 1,666 1,579 Rhode Island 527 481 533 474 114 109 4 3 ...

  10. SAS Output

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

    0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 2 2 -10.6% 0 0 2 2 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 ...

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 526 2.29 7.8 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- ...

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    8,726 2 3 8 9 Maine 3,403 3,675 10 12 8 9 Massachusetts 12,917 14,735 6 11 13 14 New Hampshire 3,458 3,447 3 3 4 5 Rhode Island 2,566 2,838 0.09 1 1 1 Vermont 14 15 0.06 0.07 1 ...

  13. SAS Output

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

    0 -- -- 0 -- -- Maine 0 -- -- 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- ...

  14. SAS Output

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

    W W Maine W W W -- -- W W Massachusetts 18.09 18.16 -0.4% 19.94 21.91 17.75 17.68 New Hampshire W W W 15.16 16.84 W W Rhode Island W W W -- -- W W Vermont -- -- -- -- -- -- -- ...

  15. SAS Output

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

    0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 582 W 1,965 1,496 31.3% 0 0 -- New Hampshire W W W W W W 0 0 -- Rhode Island W 0 W W W W 0 0 -- Vermont 0 0 -- 57 NM NM 0 0 -- ...

  16. SAS Output

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

    0 0 0 0 0 0 0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 0 0 -- 0 0 0 0 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 ...

  17. SAS Output

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

    829 3.8% 0 0 860 829 0 0 0 0 Massachusetts 4,233 4,087 3.6% 0 0 4,233 4,087 0 0 0 0 New Hampshire 1,871 1,839 1.7% 0 0 1,195 1,128 676 711 0 0 Rhode Island 3,980 956 316% 0 0 3,980 ...

  18. SAS Output

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

    -- Maine 85 0.85 8.2 0 -- -- 0 -- -- Massachusetts 1,225 0.72 11.3 0 -- -- 0 -- -- New Hampshire 526 2.29 7.8 0 -- -- 0 -- -- Rhode Island 0 -- -- 254 0.09 2.0 0 -- -- Vermont 0 ...

  19. SAS Output

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

    14% 1 1 476 424 6 6 43 30 Massachusetts 1,646 713 131% 240 126 1,324 546 80 39 1 2 New Hampshire 454 187 143% 216 135 222 41 16 11 0.05 0.19 Rhode Island 113 75 50% 21 22 83 38 NM ...

  20. SAS Output

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

    19 15 27% 0 0 10 7 0 0 9 8 Massachusetts 1,248 1,723 -28% 0 0 1,244 1,718 0 0 5 5 New Hampshire 544 616 -12% 544 616 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 ...

  1. SAS Output

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

    -- 0 -- -- Maine 32 0.94 8.4 0 -- -- 0 -- -- Massachusetts 0 -- -- 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 0 -- -- 0 -- -- Vermont 0 -- -- 0 -- ...

  2. SAS Output

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

    11.86 Massachusetts 17.39 15.83 14.68 14.23 12.74 13.18 8.76 13.06 15.35 14.51 New Hampshire 17.53 16.33 14.34 13.52 11.93 11.40 -- -- 15.22 14.30 Rhode Island 17.17 15.20 ...

  3. SAS Output

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

    -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- -- -- -- -- -- ...

  4. SAS Output

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

    W W Connecticut W W W -- -- W W Maine W W W -- -- W W Massachusetts W W W -- -- W W New Hampshire 4.27 4.21 1.4% 4.27 4.21 -- -- Rhode Island W -- W -- -- W -- Vermont -- -- -- -- ...

  5. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    66 30% 0 0 53 38 0 0 32 28 Massachusetts 1,225 1,805 -32% 0 0 1,225 1,805 0 0 0 0 New Hampshire 526 726 -28% 526 726 0 0 0 0 0 0 Rhode Island 254 0 -- 0 0 254 0 0 0 0 0 Vermont 0 ...

  6. SAS Output

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

    0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts -458 -368 24.5% 0 0 -458 -368 0 0 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 -- 0 0 0 0 ...

  7. SAS Output

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

    -- 6.65 6.06 Maine W W W -- -- W W Massachusetts 6.46 5.75 12% 5.54 6.84 6.47 5.74 New Hampshire W W W 6.05 8.85 W W Rhode Island W 5.67 W -- -- W 5.67 Vermont -- -- -- -- -- -- ...

  8. SAS Output

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

    0 0 Maine 0 0 -- 0 0 0 0 0 0 0 0 Massachusetts 305 105 191.3% 11 4 289 100 5 1 0 0 New Hampshire 0 0 -- 0 0 0 0 0 0 0 0 Rhode Island 10 2 388.5% 0 0 10 2 0 0 0 0 Vermont 24 17 ...

  9. SAS Output

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

    " Massachusetts","w","w","-","-","w","w","-","-",-7.4,"s","-","-" " New Hampshire",108.29,"-","-","-",108.33,"-","-","-","s","-","-","-" " Rhode ...

  10. SAS Output

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

    27.6% 1 1 261 204 2 2 41 32 Massachusetts 1,005 390 157.4% 131 71 793 287 80 31 1 1 New Hampshire 287 105 175.0% 108 62 163 28 16 14 0.07 0.26 Rhode Island 88 51 74.9% 11 11 60 26 ...

  11. SAS Output

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

    5,409 14,249 Massachusetts 126,810 148,736 -15% 1,544 1,245 125,265 147,491 0 0 0 0 New Hampshire 31,309 29,644 5.6% 424 355 30,885 29,289 0 0 0 0 Rhode Island 44,839 46,035 -2.6% ...

  12. SAS Output

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

    -- Maine 53 0.80 8.0 0 -- -- 0 -- -- Massachusetts 1,225 0.72 11.3 0 -- -- 0 -- -- New Hampshire 0 -- -- 0 -- -- 0 -- -- Rhode Island 0 -- -- 254 0.09 2.0 0 -- -- Vermont 0 -- -- ...

  13. SAS Output

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

    11,855 Massachusetts 20,071 20,728 26,076 17,713 7,961 16,463 361 361 54,469 55,265 New Hampshire 4,510 4,554 4,465 4,517 1,969 1,973 0 0 10,944 11,043 Rhode Island 3,070 3,165 ...

  14. SAS Output

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

    0 0 587 873 0 0 50 25 Massachusetts 1,867 1,300 44% 301 154 1,566 1,146 0 0 0 0 New Hampshire 741 354 110% 455 268 287 86 0 0 0 0 Rhode Island 217 31 594% 0 0 217 31 0 0 0 0 ...

  15. SAS Output

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

    0.1% 0 0 112 115 200 196 0 0 Massachusetts 2,071 2,029 2.1% 0 0 2,071 2,029 0 0 0 0 New Hampshire 125 156 -20% 0 0 125 156 0 0 0 0 Rhode Island 0 0 -- 0 0 0 0 0 0 0 0 Vermont 0 0 ...

  16. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    Peak Load by North American Electric Reliability Corporation Assessment Area, 2004 - ... Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity ...

  17. SAS Output

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

    Margins by North American Electric Reliability Assessment Area, 2004 - 2014, Actual ... Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity ...

  18. SAS Output

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

    ... Receipts of coal include imported coal. NA Not available. ... Dual-fired capacity returned to respective fuel categories ... EIA-767, 'Steam-Electric Plant Operation and Design ...

  19. SAS Output

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

    In 2006 the single largest provider of green pricing services in the country discontinued ... Source: U.S. Energy Information Administration, Form EIA-861, "Annual Electric Power ...

  20. SAS Output

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

    Rosebud","-",12756,12756,250,186,276 "1787 Roland","-",12094,12094,464,384,495 "1701 Smith","-",12069,12069,912,912,912 "0280 Blue Creek",11738,190,11928,50,12,52 "1570 ...

  1. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) ...

  2. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    F. Other Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) ...

  3. SAS Output

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

    F. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all ...

  4. SAS Output

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

    F. Natural Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  5. SAS Output

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

    C. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Barrels) Electric Power Sector Period Total (all sectors) ...

  6. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    F. Wood Wood Waste Biomass: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all ...

  7. SAS Output

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

    C. Biogenic Municipal Solid Waste: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all ...

  8. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    F. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  9. SAS Output

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

    F. Petroleum Liquids: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) ...

  10. SAS Output

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

    C. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) Electric ...

  11. SAS Output

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

    C. Landfill Gas: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Million Cubic Feet) Electric Power Sector Period Total (all sectors) ...

  12. SAS Output

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

    1. Total Electric Power Industry Summary Statistics, 2014 and 2013 Net Generation and Consumption of Fuels for ... Solar Thermal and Photovoltaic Utility Scale Facilities 17,691 ...

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    F. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric ...

  14. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    C. Petroleum Coke: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Thousand Tons) Electric Power Sector Period Total (all sectors) ...

  15. SAS Output

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

    F. Coal: Consumption for Electricity Generation and Useful Thermal Output, by Sector, 2004 - 2014 (Billion Btus) Electric Power Sector Period Total (all sectors) Electric Utilities ...

  16. Dynamic Analysis of Nuclear Energy System Strategies

    Energy Science and Technology Software Center (OSTI)

    2004-06-17

    DANESS is an integrated process model for nuclear energy systems allowing the simulation of multiple reactors and fuel cycles in a continuously changing nuclear reactor park configuration. The model is energy demand driven and simulates all nuclear fuel cycle facilites, up to 10 reactors and fuels. Reactor and fuel cycle facility history are traced and the cost of generating energy is calculated per reactor and for total nuclear energy system. The DANESS model aims atmore » performing dynamic systems analysis of nuclear energy development used for integrated analysis of development paths for nuclear energy, parameter scoping for new nuclear energy systems, economic analysis of nuclear energy, government role analysis, and education.« less

  17. Hydrogen Systems Analysis | Department of Energy

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

    Clean Coal » Coal to Liquids » Hydrogen Systems Analysis Hydrogen Systems Analysis Energy analyses provide valuable information, input, and guidance into the decision-making process on important issues such as national energy security and environmental policies, research and development programs and plans, technology options, and potential technical, economic, market, and social barriers to technology deployment. The Hydrogen and Clean Coal Fuels Program, working with the NETL Office of

  18. NREL: Transportation Research - Systems Analysis and Integration

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

    Publications Systems Analysis and Integration Publications NREL publishes technical reports, fact sheets, and other documents about its systems analysis and integration activities. For a complete collection of publications, search NREL's Publications Database or find publications via the following author and keyword selections: Authors: Robb Barnitt Brennan Borlaug Aaron Brooker Evan Burton Yuche Chen Josh Eichman Jeff Gonder Jacob Holden Tony Markel Marc Melaina Michael Penev Laurie Ramroth

  19. Vehicle Systems Analysis Technical Team Roadmap

    SciTech Connect (OSTI)

    2013-06-01

    The mission of the Vehicle Systems Analysis Technical Team (VSATT) is to evaluate the performance and interactions of proposed advanced automotive powertrain components and subsystems, in a vehicle systems context, to inform ongoing research and development activities and maximize the potential for fuel efficiency improvements and emission reduction.

  20. Systems and methods for sample analysis

    DOE Patents [OSTI]

    Cooks, Robert Graham; Li, Guangtao; Li, Xin; Ouyang, Zheng

    2015-01-13

    The invention generally relates to systems and methods for sample analysis. In certain embodiments, the invention provides a system for analyzing a sample that includes a probe including a material connected to a high voltage source, a device for generating a heated gas, and a mass analyzer.

  1. Systems and methods for sample analysis

    SciTech Connect (OSTI)

    Cooks, Robert Graham; Li, Guangtao; Li, Xin; Ouyang, Zheng

    2015-10-20

    The invention generally relates to systems and methods for sample analysis. In certain embodiments, the invention provides a system for analyzing a sample that includes a probe including a material connected to a high voltage source, a device for generating a heated gas, and a mass analyzer.

  2. Fuel Cycle System Analysis Handbook

    SciTech Connect (OSTI)

    Steven J. Piet; Brent W. Dixon; Dirk Gombert; Edward A. Hoffman; Gretchen E. Matthern; Kent A. Williams

    2009-06-01

    This Handbook aims to improve understanding and communication regarding nuclear fuel cycle options. It is intended to assist DOE, Campaign Managers, and other presenters prepare presentations and reports. When looking for information, check here. The Handbook generally includes few details of how calculations were performed, which can be found by consulting references provided to the reader. The Handbook emphasizes results in the form of graphics and diagrams, with only enough text to explain the graphic, to ensure that the messages associated with the graphic is clear, and to explain key assumptions and methods that cause the graphed results. Some of the material is new and is not found in previous reports, for example: (1) Section 3 has system-level mass flow diagrams for 0-tier (once-through), 1-tier (UOX to CR=0.50 fast reactor), and 2-tier (UOX to MOX-Pu to CR=0.50 fast reactor) scenarios - at both static and dynamic equilibrium. (2) To help inform fast reactor transuranic (TRU) conversion ratio and uranium supply behavior, section 5 provides the sustainable fast reactor growth rate as a function of TRU conversion ratio. (3) To help clarify the difference in recycling Pu, NpPu, NpPuAm, and all-TRU, section 5 provides mass fraction, gamma, and neutron emission for those four cases for MOX, heterogeneous LWR IMF (assemblies mixing IMF and UOX pins), and a CR=0.50 fast reactor. There are data for the first 10 LWR recycle passes and equilibrium. (4) Section 6 provides information on the cycle length, planned and unplanned outages, and TRU enrichment as a function of fast reactor TRU conversion ratio, as well as the dilution of TRU feedstock by uranium in making fast reactor fuel. (The recovered uranium is considered to be more pure than recovered TRU.) The latter parameter impacts the required TRU impurity limits specified by the Fuels Campaign. (5) Section 7 provides flows for an 800-tonne UOX separation plant. (6) To complement 'tornado' economic uncertainty

  3. System analysis: Developing tools for the future

    SciTech Connect (OSTI)

    De Jong, K.; clever, J.; Draper, J.V.; Davies, B.; Lonks, A.

    1996-02-01

    This report introduces and evaluates system analysis tools that were developed, or are under development, for the Robotics Technology Development Program (RTDP). Additionally, it discusses system analysis work completed using these tools aimed at completing a system analysis of the retrieval of waste from underground storage tanks on the Hanford Reservation near Richland, Washington. The tools developed and evaluated include a mixture of commercially available tools adapted to RTDP requirements, and some tools developed in house. The tools that are included in this report include: a Process Diagramming Tool, a Cost Modeling Tool, an Amortization Modeling Tool, a graphical simulation linked to the Cost Modeling Tool, a decision assistance tool, and a system thinking tool. Additionally, the importance of performance testing to the RTDP and the results of such testing executed is discussed. Further, the results of the Tank Waste Retrieval (TWR) System Diagram, the TWR Operations Cost Model, and the TWR Amortization Model are presented, and the implication of the results are discussed. Finally, the RTDP system analysis tools are assessed and some recommendations are made regarding continuing development of the tools and process.

  4. Seismic modal analysis and system interaction

    SciTech Connect (OSTI)

    Lin, Chi Wen ); Wang, Chung Yi ); Chen, W.W. ); Gutierrez, B. . Savannah River Site)

    1993-01-01

    Separate abstracts were prepared for the technical papers presented at the American Society of Mechanical Engineers 1993 Pressure Vessels and Piping Conference on July 25--29 in Denver, Colorado. This volume contains sixteen papers presented under the session title of Modal Analysis and Systems Interactions Techniques. The intent of these sessions is to provide a common forum for the researchers to have a broad exchange of views on many pressing subjects concerning the design and analysis of nuclear and waste facilities.

  5. Systems analysis of the CANDU 3 Reactor

    SciTech Connect (OSTI)

    Wolfgong, J.R.; Linn, M.A.; Wright, A.L.; Olszewski, M.; Fontana, M.H.

    1993-07-01

    This report presents the results of a systems failure analysis study of the CANDU 3 reactor design; the study was performed for the US Nuclear Regulatory Commission. As part of the study a review of the CANDU 3 design documentation was performed, a plant assessment methodology was developed, representative plant initiating events were identified for detailed analysis, and a plant assessment was performed. The results of the plant assessment included classification of the CANDU 3 event sequences that were analyzed, determination of CANDU 3 systems that are ``significant to safety,`` and identification of key operator actions for the analyzed events.

  6. On-Board Storage Systems Analysis

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

    Argonne National Laboratory is managed by The University of Chicago for the U.S. Department of Energy On-Board Storage Systems Analysis R. K. Ahluwalia, J-K Peng and T. Q. Hua DOE and FreedomCAR & Fuel Partnership Hydrogen Delivery and On-Board Storage Analysis Workshop Washington, DC 25 January 2006 Work sponsored by U.S. Department of Energy, Energy Efficiency, Renewable Energy: Hydrogen, Fuel Cells & Infrastructure Technologies 2 ANL ANL ' ' s Role in H s Role in H 2 2 Storage Systems

  7. Network and adaptive system of systems modeling and analysis.

    SciTech Connect (OSTI)

    Lawton, Craig R.; Campbell, James E. Dr.; Anderson, Dennis James; Eddy, John P.

    2007-05-01

    This report documents the results of an LDRD program entitled ''Network and Adaptive System of Systems Modeling and Analysis'' that was conducted during FY 2005 and FY 2006. The purpose of this study was to determine and implement ways to incorporate network communications modeling into existing System of Systems (SoS) modeling capabilities. Current SoS modeling, particularly for the Future Combat Systems (FCS) program, is conducted under the assumption that communication between the various systems is always possible and occurs instantaneously. A more realistic representation of these communications allows for better, more accurate simulation results. The current approach to meeting this objective has been to use existing capabilities to model network hardware reliability and adding capabilities to use that information to model the impact on the sustainment supply chain and operational availability.

  8. Integrated systems analysis of the PIUS reactor

    SciTech Connect (OSTI)

    Fullwood, F.; Kroeger, P.; Higgins, J.

    1993-11-01

    Results are presented of a systems failure analysis of the PIUS plant systems that are used during normal reactor operation and postulated accidents. This study was performed to provide the NRC with an understanding of the behavior of the plant. The study applied two diverse failure identification methods, Failure Modes Effects & Criticality Analysis (FMECA) and Hazards & Operability (HAZOP) to the plant systems, supported by several deterministic analyses. Conventional PRA methods were also used along with a scheme for classifying events by initiator frequency and combinations of failures. Principal results of this study are: (a) an extensive listing of potential event sequences, grouped in categories that can be used by the NRC, (b) identification of support systems that are important to safety, and (c) identification of key operator actions.

  9. Energy Policy and Systems Analysis Presentation: Energy Modeling...

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

    Policy and Systems Analysis Presentation: Energy Modeling 101 Energy Policy and Systems Analysis Presentation: Energy Modeling 101 This presentation covers the basics of power ...

  10. Hydrgoen Storage Systems Analysis Working Group Meeting Summary...

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

    Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report Summary report from the May 17, 2007...

  11. Systems biology analysis of Zymomonas mobilis ZM4 ethanol stress...

    Office of Scientific and Technical Information (OSTI)

    Systems biology analysis of Zymomonas mobilis ZM4 ethanol stress responses Citation Details In-Document Search Title: Systems biology analysis of Zymomonas mobilis ZM4 ethanol ...

  12. Cost analysis of energy storage systems for electric utility...

    Office of Scientific and Technical Information (OSTI)

    Cost analysis of energy storage systems for electric utility applications Citation Details In-Document Search Title: Cost analysis of energy storage systems for electric utility ...

  13. Onboard Type IV Compressed Hydrogen Storage System Cost Analysis...

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

    Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar Access the recording and download ...

  14. US DRIVE Vehicle Systems and Analysis Technical Team Roadmap...

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

    Vehicle Systems and Analysis Technical Team Roadmap US DRIVE Vehicle Systems and Analysis Technical Team Roadmap VSATT provides the analytic support and subsystem characterizations ...

  15. System Definition and Analysis: Power Plant Design and Layout...

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

    System Definition and Analysis: Power Plant Design and Layout Citation Details In-Document Search Title: System Definition and Analysis: Power Plant Design and Layout You are ...

  16. Life-Cycle Analysis Results of Geothermal Systems in Comparison...

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

    Life-Cycle Analysis Results of Geothermal Systems in Comparison to Other Power Systems Life-Cycle Analysis Results of Geothermal Systems in Comparison to Other Power Systems A ...

  17. Final Report Computational Analysis of Dynamical Systems

    SciTech Connect (OSTI)

    Guckenheimer, John

    2012-05-08

    This is the final report for DOE Grant DE-FG02-93ER25164, initiated in 1993. This grant supported research of John Guckenheimer on computational analysis of dynamical systems. During that period, seventeen individuals received PhD degrees under the supervision of Guckenheimer and over fifty publications related to the grant were produced. This document contains copies of these publications.

  18. Business System Planning Project, Alternatives Analysis

    SciTech Connect (OSTI)

    EVOSEVICH, S.

    2000-10-30

    The CHG Chief Information Officer (CIO) requested a study of alternatives to the current business system computing environment. This Business Systems Planning (BSP) Project Alternatives Analysis document presents an analysis of the current Project Controls, Work Management, and Business Management systems environment and alternative solutions that support the business functions. The project team has collected requirements and priorities from stakeholders in each business area and documented them in the BSP System Requirements Specification (SRS), RPP-6297. The alternatives analysis process identifies and measures possible solutions in each of the business process areas against the requirements as documented in the SRS. The team gathered input from both internal and external sources to identify and grade the possible solutions. This document captures the results of that activity and recommends a suite of software products. This study was to select the best product based on how well the product met the requirements, not to determine the platform or hardware environment that would be used. Additional analysis documentation can be found in BSP project files.

  19. Pair importance measures in systems analysis

    SciTech Connect (OSTI)

    Youngblood, R.; Xue, D.; Cho, N.

    1986-01-01

    Importance measures in systems unreliability (or unavailability) analysis provide useful information in identifying components which are critical with regard to the availability or reliability of a system. Various importance measures known in the reliability literature are defined for a single component. This paper extends previous work to define importance measures for a pair of components of the system (accident sequence, core damage frequency, or health risks as appropriate), and illustrates the usefulness of these pairwise importance measures in nuclear power plants. The pairwise importance measures are immediately applicable to risk-based evaluation of the technical specifications; in addition, pairwise importances could play an important role in systems interaction studies by highlighting pairs of events between which a coupling would be significant if it existed.

  20. Systems Analysis Workshop List of Attendees | Department of Energy

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

    List of Attendees Systems Analysis Workshop List of Attendees List of Attendees from DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004 to discuss and define role of systems analysis in DOE Hydrogen Program. saw_attendee_list.pdf (142.41 KB) More Documents & Publications Systems Analysis Workshop Agenda 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure Final List of Attendees DOE and FreedomCAR and Fuel Partnership Analysis Workshop

  1. Energy Systems Analysis | Argonne National Laboratory

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

    Energy Systems Analysis All stages of energy production have inputs and outputs. Argonne researchers analyze the total production picture and develop tools for members of the public to use in conducting their own assessments. All stages of energy production have inputs and outputs. Argonne researchers analyze the total production picture and develop tools for members of the public to use in conducting their own assessments. Consumer behavior, economic conditions and market forces interact on

  2. Tank waste remediation system mission analysis report

    SciTech Connect (OSTI)

    Acree, C.D.

    1998-01-09

    This document describes and analyzes the technical requirements that the Tank Waste Remediation System (TWRS) must satisfy for the mission. This document further defines the technical requirements that TWRS must satisfy to supply feed to the private contractors` facilities and to store or dispose the immobilized waste following processing in these facilities. This document uses a two phased approach to the analysis to reflect the two-phased nature of the mission.

  3. Digraph matrix analysis applications to systems interactions

    SciTech Connect (OSTI)

    Alesso, H.P.; Altenbach, T.; Lappa, D.; Kimura, C.; Sacks, I.J.; Ashmore, B.C.; Fromme, D.; Smith, C.F.; Williams, W.

    1984-01-01

    Complex events such as Three Mile Island-2, Brown's Ferry-3 and Crystal River-3 have demonstrated that previously unidentified system interdependencies can be important to safety. A major aspect of these events was dependent faults (common cause/mode failures). The term systems interactions has been introduced by the Nuclear Regulatory Commission (NRC) to identify the concepts of spatial and functional coupling of systems which can lead to system interdependencies. Spatial coupling refers to dependencies resulting from a shared environmental condition; functional coupling refers to both dependencies resulting from components shared between safety and/or support systems, and to dependencies involving human actions. The NRC is currently developing guidelines to search for and evaluate adverse systems interactions at light water reactors. One approach utilizes graph theoretical methods and is called digraph matrix analysis (DMA). This methodology has been specifically tuned to the systems interaction problem. The objective of this paper is to present results from two DMA applications and to contrast them with the results from more traditional fault tree approaches.

  4. Systems Analysis Workshop Welcome & Introductions | Department of Energy

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

    Welcome & Introductions Systems Analysis Workshop Welcome & Introductions Welcome and introduction to the DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004 to discuss and define role of systems analysis in DOE Hydrogen Program. 1_welcome_gardner.pdf (301.92 KB) More Documents & Publications Biogas and Fuel Cells Workshop Agenda Systems Analysis Workshop Agenda Systems Analysis Workshop List of Attendees

  5. Tank waste remediation system mission analysis

    SciTech Connect (OSTI)

    Baynes, P.A.; Woods, J.W.; Collings, J.L.

    1993-03-01

    Mission analysis is an iterative process that expands the mission statement, identifies needed information, and provides sufficient insight to proceed with the necessary, subsequent analyses. The Tank Waste Remediation System (TWRS) mission analysis expands the TWRS Program problem statement: ``remediate tank waste.`` It also and the mission statement: ``store, treat, and immobilize highly radioactive Hanford waste in an environmentally sound, safe, and cost effective manner.`` The mission analysis expands the problem and mission statements to accomplish four primary tasks. First, it defines the mission in enough detail to provide any follow-on work with a consistent foundation. Second, it defines the TWRS boundaries. Third, it identifies the following for TWRS: (1) current conditions, (2) acceptable final conditions, (3) requirement sources for the final product and the necessary systems, (4) organizations authorized to issue requirements, and (5) the criteria to determine when the problem is solved. Finally, it documents the goals to be achieved.This document concludes that tank safety issues should be resolved quickly and tank waste should be treated and immobilized quickly because of the hazardous nature of the tank waste and the age and condition of the existing tanks. In addition, more information is needed (e.g., waste acceptance criteria, condition of existing waste) to complete the TWRS mission analysis.

  6. Tank waste remediation system mission analysis

    SciTech Connect (OSTI)

    Baynes, P.A.; Woods, J.W. ); Collings, J.L. )

    1993-03-01

    Mission analysis is an iterative process that expands the mission statement, identifies needed information, and provides sufficient insight to proceed with the necessary, subsequent analyses. The Tank Waste Remediation System (TWRS) mission analysis expands the TWRS Program problem statement: remediate tank waste.'' It also and the mission statement: store, treat, and immobilize highly radioactive Hanford waste in an environmentally sound, safe, and cost effective manner.'' The mission analysis expands the problem and mission statements to accomplish four primary tasks. First, it defines the mission in enough detail to provide any follow-on work with a consistent foundation. Second, it defines the TWRS boundaries. Third, it identifies the following for TWRS: (1) current conditions, (2) acceptable final conditions, (3) requirement sources for the final product and the necessary systems, (4) organizations authorized to issue requirements, and (5) the criteria to determine when the problem is solved. Finally, it documents the goals to be achieved.This document concludes that tank safety issues should be resolved quickly and tank waste should be treated and immobilized quickly because of the hazardous nature of the tank waste and the age and condition of the existing tanks. In addition, more information is needed (e.g., waste acceptance criteria, condition of existing waste) to complete the TWRS mission analysis.

  7. DShaper: An approach for handling missing low-Q data in pair distribution function analysis of nanostructured systems

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

    Olds, Daniel; Wang, Hsiu -Wen; Page, Katharine L.

    2015-09-04

    In this work we discuss the potential problems and currently available solutions in modeling powder-diffraction based pair-distribution function (PDF) data from systems where morphological feature information content includes distances in the nanometer length scale, such as finite nanoparticles, nanoporous networks, and nanoscale precipitates in bulk materials. The implications of an experimental finite minimum Q-value are addressed by simulation, which also demonstrates the advantages of combining PDF data with small angle scattering data (SAS). We introduce a simple Fortran90 code, DShaper, which may be incorporated into PDF data fitting routines in order to approximate the so-called shape-function for any atomistic model.

  8. Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report |

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

    Department of Energy Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report Summary report from the May 17, 2007 Hydrogen Storage Systems Analysis Working Group Meeting ssawg_may_summary.pdf (167.2 KB) More Documents & Publications Hydrogen Storage Systems Anlaysis Working Group Meeting, December 12, 2006 Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report Hydrogen Storage Systems

  9. Constraint analysis for variational discrete systems

    SciTech Connect (OSTI)

    Dittrich, Bianca; Hhn, Philipp A.; Institute for Theoretical Physics, Universiteit Utrecht, Leuvenlaan 4, NL-3584 CE Utrecht

    2013-09-15

    A canonical formalism and constraint analysis for discrete systems subject to a variational action principle are devised. The formalism is equivalent to the covariant formulation, encompasses global and local discrete time evolution moves and naturally incorporates both constant and evolving phase spaces, the latter of which is necessary for a time varying discretization. The different roles of constraints in the discrete and the conditions under which they are first or second class and/or symmetry generators are clarified. The (non-) preservation of constraints and the symplectic structure is discussed; on evolving phase spaces the number of constraints at a fixed time step depends on the initial and final time step of evolution. Moreover, the definition of observables and a reduced phase space is provided; again, on evolving phase spaces the notion of an observable as a propagating degree of freedom requires specification of an initial and final step and crucially depends on this choice, in contrast to the continuum. However, upon restriction to translation invariant systems, one regains the usual time step independence of canonical concepts. This analysis applies, e.g., to discrete mechanics, lattice field theory, quantum gravity models, and numerical analysis.

  10. Apparatus and system for multivariate spectral analysis

    DOE Patents [OSTI]

    Keenan, Michael R.; Kotula, Paul G.

    2003-06-24

    An apparatus and system for determining the properties of a sample from measured spectral data collected from the sample by performing a method of multivariate spectral analysis. The method can include: generating a two-dimensional matrix A containing measured spectral data; providing a weighted spectral data matrix D by performing a weighting operation on matrix A; factoring D into the product of two matrices, C and S.sup.T, by performing a constrained alternating least-squares analysis of D=CS.sup.T, where C is a concentration intensity matrix and S is a spectral shapes matrix; unweighting C and S by applying the inverse of the weighting used previously; and determining the properties of the sample by inspecting C and S. This method can be used by a spectrum analyzer to process X-ray spectral data generated by a spectral analysis system that can include a Scanning Electron Microscope (SEM) with an Energy Dispersive Detector and Pulse Height Analyzer.

  11. Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report |

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

    Department of Energy Summary of June 11, 2008, biannual meeting of the Hydrogen Storage Systems Analysis Working Group. ssawg_summary_report_0608.pdf (52.38 KB) More Documents & Publications Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report Technical Assessment of Organic Liquid Carrier Hydrogen Storage Systems for Automotive Applications Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report

  12. State analysis of nonlinear systems using local canonical variate analysis

    SciTech Connect (OSTI)

    Hunter, N.F.

    1997-01-01

    There are many instances in which time series measurements are used to derive an empirical model of a dynamical system. State space reconstruction from time series measurement has applications in many scientific and engineering disciplines including structural engineering, biology, chemistry, climatology, control theory, and physics. Prediction of future time series values from empirical models was attempted as early as 1927 by Yule, who applied linear prediction methods to the sunspot values. More recently, efforts in this area have centered on two related aspects of time series analysis, namely prediction and modeling. In prediction future time series values are estimated from past values, in modeling, fundamental characteristics of the state model underlying the measurements are estimated, such as dimension and eigenvalues. In either approach a measured time series, [{bold y}(t{sub i})], i= 1,... N is assumed to derive from the action of a smooth dynamical system, s(t+{bold {tau}})=a(s(t)), where the bold notation indicates the (potentially ) multivariate nature of the time series. The time series is assumed to derive from the state evolution via a measurement function c. {bold y}(t)=c(s(t)) In general the states s(t), the state evolution function a and the measurement function c are In unknown, and must be inferred from the time series measurements. We approach this problem from the standpoint of time series analysis. We review the principles of state space reconstruction. The specific model formulation used in the local canonical variate analysis algorithm and a detailed description of the state space reconstruction algorithm are included. The application of the algorithm to a single-degree-of- freedom Duffing-like Oscillator and the difficulties involved in reconstruction of an unmeasured degree of freedom in a four degree of freedom nonlinear oscillator are presented. The advantages and current limitations of state space reconstruction are summarized.

  13. A posteriori error analysis of parameterized linear systems using...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: A posteriori error analysis of parameterized linear systems using spectral methods. Citation Details In-Document Search Title: A posteriori error analysis of ...

  14. Safety System Oversight Staffing Analysis - Blank Sheet | Department...

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

    Safety System Oversight Staffing Analysis - Blank Sheet This Staffing Analysis calculation is completed using an Excel worksheet. Information locations are identified by titles in ...

  15. Bagless Transfer System Welder Analysis Software

    Energy Science and Technology Software Center (OSTI)

    2003-10-01

    The Bagless Transfer System Welder Analysis Software (BTS WAS) was developed by SRTC for use with the Bagless Transfer System. During the welding process, critical weld parameters such as weld current and voltage, can give valuable informaitoin about the weld. In the past, weld data from the TIG welding process, such as the bagless transfer system in FB-Line, has been monitored using strip chart recorders. The data from the weld process, recorded on the stripmore » chart recorder traces, were reviewed by the supervisor using a procedure and criteria to analyze the weld. This hand checking can be tedious and time consuming. To improve this process, another software package developed by SRTC, the BTS DAS, digitizes the weld data and stores the weld data in a file. The BTS WAS automates the weld analysis process by analyzing the data obtained during the weld process against the same weld criteria that the supervisor currently users. Of course with the automated analysis system the supervisor is still provided the same information in the same chart display format so he can also manually review the data as desired. The BTS WAS reads in a data file that was prevously collected using the BTS DAS software. The software will read the file and parse the data. The user is first prompted to enter the file name. The file is then opened and the operator name and Date/Time of Acquisition are read from the file and displayed on the screen. The binary weld data is then read from the file into an array until the end of the file is reached. The shunt and weld current, voltage, RPM, and position data are displayed on the screen in graphical formats on the front panel. The weld power and resistance are calculated and are also displayed in graphical format on the front panel. Individual tack analysis data is provided for each of the three tacks. The main weld and downslope data is also displayed.« less

  16. Top Event Matrix Analysis Code System.

    Energy Science and Technology Software Center (OSTI)

    2000-06-19

    Version 00 TEMAC is designed to permit the user to easily estimate risk and to perform sensitivity and uncertainty analyses with a Boolean expression such as produced by the SETS computer program. SETS produces a mathematical representation of a fault tree used to model system unavailability. In the terminology of the TEMAC program, such a mathematical representation is referred to as a top event. The analysis of risk involves the estimation of the magnitude ofmore » risk, the sensitivity of risk estimates to base event probabilities and initiating event frequencies, and the quantification of the uncertainty in the risk estimates.« less

  17. Vulnerability Analysis of Energy Delivery Control Systems

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

    0-18381 Vulnerability Analysis of Energy Delivery Control Systems September 2011 Idaho National Laboratory Idaho Falls, Idaho 83415 http://www.inl.gov Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under DOE Idaho Operations Office Contract DE-AC07-05ID14517 The INL is a U.S. Department of Energy National Laboratory operated by Battelle Energy Alliance DISCLAIMER This information was prepared as an account of work sponsored by an agency of the

  18. Vulnerability Analysis of Energy Delivery Control Systems (September 2011)

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

    | Department of Energy Systems (September 2011) Vulnerability Analysis of Energy Delivery Control Systems (September 2011) The Vulnerability Analysis of Energy Delivery Control Systems report, prepared by Idaho National Laboratory, describes the common vulnerabilities on energy sector control systems, and provides recommendations for vendors and owners of those systems to identify and reduce those risks. Vulnerability Analysis of Energy Delivery Control Systems (September 2011) (2.69 MB)

  19. Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells |

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

    Department of Energy Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's systems analysis program uses a consistent set of models and data for transparent analytical evaluations. The following fact sheets provide an overview and individual summaries of the models and tools used for systems analysis of hydrogen and fuel cells. View the Overview Fact Sheet and

  20. Hydrogen Storage Systems Analysis Working Group Meeting: Summary...

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

    More Documents & Publications Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report Technical Assessment of Organic Liquid Carrier Hydrogen Storage Systems for ...

  1. K West integrated water treatment system subproject safety analysis document

    SciTech Connect (OSTI)

    SEMMENS, L.S.

    1999-02-24

    This Accident Analysis evaluates unmitigated accident scenarios, and identifies Safety Significant and Safety Class structures, systems, and components for the K West Integrated Water Treatment System.

  2. System for Analysis of Soil-Structure Interaction (SASSI) Verification...

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

    System for Analysis of Soil-Structure Interaction (SASSI) Verification & Validation (V&V) Problem Set SASSI is the System for Analysis of Soil-Structure Interaction, a computer ...

  3. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Space Dust Analysis Could Provide Clues to Solar System Origins Print Thursday, 18 September 2014 12:34 New studies ...

  4. Life-Cycle Analysis Results of Geothermal Systems in Comparison...

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

    Life-Cycle Analysis Results of Geothermal Systems in Comparison to Other Power Systems A life-cycle energy and greenhouse gas emissions analysis has been conducted with Argonne ...

  5. Hydrogen Systems Analysis Workshop (SAW) | Department of Energy

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

    Systems Analysis Workshop (SAW) Hydrogen Systems Analysis Workshop (SAW) The U.S. Department of Energy sponsored a Hydrogen Systems Analysis Workshop (SAW) in Washington, DC, July 28-29, 2004. Attendees included government officials, analysts, and managers from DOE, the National Laboratories, and two Technical Teams. The purpose of the workshop was to describe and emphasize the importance of systems analysis to the Program, gain a community-wide understanding of the analytical capabilities of

  6. Hydrogen Storage Systems Analysis Meeting: Summary Report, March 29, 2005 |

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

    Department of Energy Meeting: Summary Report, March 29, 2005 Hydrogen Storage Systems Analysis Meeting: Summary Report, March 29, 2005 This report highlights DOE's systems analysis work related to hydrogen storage materials and process development, with a focus on models of on-board and off-board hydrogen storage systems. ssawg_mtg.pdf (110.16 KB) More Documents & Publications Hydrogen Storage Systems Anlaysis Working Group Meeting, December 12, 2006 Hydrgoen Storage Systems Analysis

  7. Systems-Level Analysis & Bioenergy Market Assessment

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

    Systems-Level Analysis & Bioenergy Market Assessment 24 March 2015 BETO Project Peer Review 4.1.2.1 Systems Analysis and Modeling John Lewis National Renewable Energy Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information 3 Systems-Level Analysis * Maintain core analytical capabilities to facilitate and conduct system-wide and cross- system analyses for BETO that enable the development of a sustainable, commercially- viable national

  8. Parametric systems analysis for tandem mirror hybrids

    SciTech Connect (OSTI)

    Lee, J.D.; Chapin, D.L.; Chi, J.W.H.

    1980-09-01

    Fusion fission systems, consisting of fissile producing fusion hybrids combining a tandem mirror fusion driver with various blanket types and net fissile consuming LWR's, have been modeled and analyzed parametrically. Analysis to date indicates that hybrids can be competitive with mined uranium when U/sub 3/O/sub 8/ cost is about 100 $/lb., adding less than 25% to present day cost of power from LWR's. Of the three blanket types considered, uranium fast fission (UFF), thorium fast fission (ThFF), and thorium fission supressed (ThFS), the ThFS blanket has a modest economic advantage under most conditions but has higher support ratios and potential safety advantages under all conditions.

  9. Cost Analysis of Hydrogen Storage Systems | Department of Energy

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

    Hydrogen Storage Systems Cost Analysis of Hydrogen Storage Systems Presentation by Stephen Lasher on cost analysis of hydrogen storage systems. wkshp_storage_lasher.pdf (1.34 MB) More Documents & Publications Analyses of Hydrogen Storage Materials and On-Board Systems Technical Assessment of Organic Liquid Carrier Hydrogen Storage Systems for Automotive Applications Technical Assessment of Compressed Hydrogen Storage Tank Systems for Automotive Applications

  10. Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar |

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

    Department of Energy Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar Access the recording and download the presentation slides from the Fuel Cell Technologies Office webinar "Update to the 700 bar Compressed Hydrogen Storage System Cost Projection" held on February 25, 2016. Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar Slides (2.59 MB) More Documents &

  11. Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report |

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

    Department of Energy The objective of these biannual Working Group meetings is to bring together the DOE research community involved in systems analysis of hydrogen storage materials and processes. ssawg_summary_report.pdf (266.68 KB) More Documents & Publications Hydrgoen Storage Systems Analysis Working Group Meeting Summary Report Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report Hydrogen Storage Systems Anlaysis Working Group Meeting, December 12, 2006

  12. Vehicle Technologies Office: Advanced Battery Development, System Analysis,

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

    and Testing | Department of Energy Advanced Battery Development, System Analysis, and Testing Vehicle Technologies Office: Advanced Battery Development, System Analysis, and Testing To develop better lithium-ion (Li-ion) batteries for plug-in electric vehicles, researchers must integrate the advances made in exploratory battery materials and applied battery research into full battery systems. The Vehicle Technologies Office's (VTO) Advanced Battery Development, System Analysis, and Testing

  13. track 1: systems analysis | geothermal 2015 peer review | Department of

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

    Energy systems analysis | geothermal 2015 peer review track 1: systems analysis | geothermal 2015 peer review At the 2015 Peer Review in May, the Energy Department's Geothermal Technologies Office (GTO) introduced nine Energy Department-funded Systems Analysis projects for review. Research teams pursue and evaluate vital geothermal technical data that can help to locate geothermal reservoirs, target drilling, and tap geothermal systems for energy production. Innovative geothermal tools and

  14. Analysis and control of distributed cooperative systems.

    SciTech Connect (OSTI)

    Feddema, John Todd; Parker, Eric Paul; Wagner, John S.; Schoenwald, David Alan

    2004-09-01

    As part of DARPA Information Processing Technology Office (IPTO) Software for Distributed Robotics (SDR) Program, Sandia National Laboratories has developed analysis and control software for coordinating tens to thousands of autonomous cooperative robotic agents (primarily unmanned ground vehicles) performing military operations such as reconnaissance, surveillance and target acquisition; countermine and explosive ordnance disposal; force protection and physical security; and logistics support. Due to the nature of these applications, the control techniques must be distributed, and they must not rely on high bandwidth communication between agents. At the same time, a single soldier must easily direct these large-scale systems. Finally, the control techniques must be provably convergent so as not to cause undo harm to civilians. In this project, provably convergent, moderate communication bandwidth, distributed control algorithms have been developed that can be regulated by a single soldier. We have simulated in great detail the control of low numbers of vehicles (up to 20) navigating throughout a building, and we have simulated in lesser detail the control of larger numbers of vehicles (up to 1000) trying to locate several targets in a large outdoor facility. Finally, we have experimentally validated the resulting control algorithms on smaller numbers of autonomous vehicles.

  15. Improve Chilled Water System Peformance: Chilled Water System Analysis Tool (CWSAT) Improves Efficiency

    SciTech Connect (OSTI)

    2010-06-25

    This fact sheet describes how the Industrial Technologies Program Chilled Water System Analysis Tool (CWSAT) can help optimize the performance of of industrial chilled water systems.

  16. Benchmark of SCALE (SAS2H) isotopic predictions of depletion analyses for San Onofre PWR MOX fuel

    SciTech Connect (OSTI)

    Hermann, O.W.

    2000-02-01

    The isotopic composition of mixed-oxide (MOX) fuel, fabricated with both uranium and plutonium, after discharge from reactors is of significant interest to the Fissile Materials Disposition Program. The validation of the SCALE (SAS2H) depletion code for use in the prediction of isotopic compositions of MOX fuel, similar to previous validation studies on uranium-only fueled reactors, has corresponding significance. The EEI-Westinghouse Plutonium Recycle Demonstration Program examined the use of MOX fuel in the San Onofre PWR, Unit 1, during cycles 2 and 3. Isotopic analyses of the MOX spent fuel were conducted on 13 actinides and {sup 148}Nd by either mass or alpha spectrometry. Six fuel pellet samples were taken from four different fuel pins of an irradiated MOX assembly. The measured actinide inventories from those samples has been used to benchmark SAS2H for MOX fuel applications. The average percentage differences in the code results compared with the measurement were {minus}0.9% for {sup 235}U and 5.2% for {sup 239}Pu. The differences for most of the isotopes were significantly larger than in the cases for uranium-only fueled reactors. In general, comparisons of code results with alpha spectrometer data had extreme differences, although the differences in the calculations compared with mass spectrometer analyses were not extremely larger than that of uranium-only fueled reactors. This benchmark study should be useful in estimating uncertainties of inventory, criticality and dose calculations of MOX spent fuel.

  17. NREL: Hydrogen and Fuel Cells Research - Systems Analysis

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

    Systems Analysis Graphic showing a map and chart. Hydrogen infrastructure simulation models focus on the spatial and temporal deployment of vehicles and fueling infrastructure to provide insights into investment decisions and policy support options. Image of a generic bar graph. H2FAST: Hydrogen Financial Analysis Scenario Tool Delivers in-depth financial analysis for hydrogen fueling stations. NREL's hydrogen systems analysis activities provide direction, insight, and support for the

  18. Pulse Analysis Spectroradiometer System (PASS) Software - Energy Innovation

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

    Portal Energy Analysis Energy Analysis Find More Like This Return to Search Pulse Analysis Spectroradiometer System (PASS) Software National Renewable Energy Laboratory Contact NREL About This Technology Publications: PDF Document Publication Pulse Analysis Spectroradiometer System for Measuring the Spectral Distribution of Flash Solar Simulators http://www.nrel.gov/docs/fy08osti/43652.pdf (576 KB) Technology Marketing SummaryFlashing artificial light sources are used extensively in

  19. Systems Analysis Workshop Discussion Summary | Department of Energy

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

    Discussion Summary Systems Analysis Workshop Discussion Summary Discussion Summary from DOE Systems Analysis Workshop held in Washington, D.C. July 28-29, 2004 to discuss and define role of systems analysis in DOE Hydrogen Program. 18_saw_discuss_summ.pdf (156.14 KB) More Documents & Publications Hydrogen Transmission and Distribution Workshop Electrolytic Hydrogen Production Workshop Transportation and Stationary Power Integration: Workshop Proceedings

  20. System for Analysis of Soil-Structure Interaction (SASSI) Verification...

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

    the System for Analysis of Soil-Structure Interaction, a computer code for performing finite element analyses of soil-structure interaction during seismic ground motions. It was...

  1. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar...

  2. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar ...

  3. Automotive and MHE Fuel Cell System Cost Analysis

    Broader source: Energy.gov [DOE]

    Presentation slides from the Fuel Cell Technologies Office webinar, Automotive and MHE Fuel Cell System Cost Analysis, held April 16, 2013.

  4. Hydrogen Storage Systems Analysis Working Group Meeting: Summary...

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

    The objective of these biannual Working Group meetings is to bring together the DOE research community involved in systems analysis of hydrogen storage materials and processes. PDF ...

  5. Onboard Type IV Compressed Hydrogen Storage System Cost Analysis...

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

    Onboard Type IV Compressed Hydrogen Storage System Cost Analysis U.S. Department of Energy Fuel Cell Technologies Office February 25, 2016 Presenter: Brian James - Strategic ...

  6. Office of Energy Policy and Systems Analysis Site Upgrade

    Broader source: Energy.gov [DOE]

    Office of Energy Policy and Systems Analysis site is currently being upgraded to better serve on audience. Please check back shortly.

  7. Policy Analysis Modeling System (PAMS) | Open Energy Information

    Open Energy Info (EERE)

    TOOL Name: Policy Analysis Modeling System AgencyCompany Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics:...

  8. NREL: Wind Research - Energy Analysis of Offshore Systems

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

    Energy Analysis of Offshore Systems Chart of cost data for actual and projected offshore wind projects as reported by developers. Enlarge image NREL has a long history of ...

  9. Analysis, Data Systems, and Education | Department of Energy

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

    Below are the project presentations and respective peer review results for Analysis, Data ... University of Utah National Geothermal Data System Architecture Design, Testing and ...

  10. Advanced Tower Analysis and Design System

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

    enhanced metafile, and both 2D and 3D International Graphics Standard for import into CAD systems. Help is available through the Windows help system as well as through a...

  11. Surveillance Analysis Computer System (SACS) software requirements specification (SRS)

    SciTech Connect (OSTI)

    Glasscock, J.A.; Flanagan, M.J.

    1995-09-01

    This document is the primary document establishing requirements for the Surveillance Analysis Computer System (SACS) Database, an Impact Level 3Q system. The purpose is to provide the customer and the performing organization with the requirements for the SACS Project.

  12. Hydrogen Storage Systems Analysis Meeting: Summary Report, March...

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

    systems analysis work related to hydrogen storage materials and process development, with a focus on models of on-board and off-board hydrogen storage systems. ssawgmtg.pdf ...

  13. Integrated Vehicle Thermal Management Systems (VTMS) Analysis...

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

    More Documents & Publications Integrated Vehicle Thermal Management Power Electronic Thermal System Performance and Integration Characterization and Development of Advanced...

  14. Code System for Static and Dynamic Piping System Analysis.

    Energy Science and Technology Software Center (OSTI)

    2000-07-07

    EPIPE is used for design or design evaluation of complex large piping systems. The piping systems can be viewed as a network of straight pipe elements (or tangents) and curved elements (pipe bends) interconnected at joints (or nodes) with intermediate supports and anchors. The system may be subject to static loads such as thermal, dead weight, internal pressure, or dynamic loads such as earthquake motions and flow-induced vibrations, or any combination of these.

  15. Failure analysis issues in microelectromechanical systems (MEMS).

    SciTech Connect (OSTI)

    Walraven, Jeremy Allen

    2005-07-01

    Failure analysis and device characterization of MEMS components are critical steps in understanding the root causes of failure and improving device performance. At the wafer and die level these tasks can be performed with little or no sample preparation. Larger challenges occur after fabrication when the device is packaged, capped, sealed, or otherwise obstructed from view. The challenges and issues of MEMS failure analysis lie in identifying the root cause of failure for these packaged, capped, and sealed devices without perturbing the device or its immediate environment. Novel methods of gaining access to the device or preparing the device for analysis are crucial to accurately determining the root cause of failure. This paper will discuss issues identified in performing root cause failure analysis of packaged MEMS devices, as well as the methods employed to analyze them.

  16. Ground Source Heat Pump System Data Analysis

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

    ...2013 - GSHP Data Analysis in 1 st phase of U.S.-China CERC-BEE - GSHP ARRA Grantee Data Mining 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem ...

  17. Vulnerability Analysis of Energy Delivery Control Systems

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

    ... Attackers can search for vulnerabilities in firewalls, ... organization, measured in terms of confidentiality, ... in which an adversary can enter the system and potentially ...

  18. Route profile analysis system and method

    DOE Patents [OSTI]

    Mullenhoff, D.J.; Wilson, S.W.

    1982-07-29

    A system for recording terrain profile information is disclosed. The system accurately senses incremental distances traveled by a vehicle along with vehicle inclination, recording both with elapsed time. The incremental distances can subsequently be differentiated with respect to time to obtain acceleration. The computer acceleration can then be used to correct the sensed inclination.

  19. Route profile analysis system and method

    DOE Patents [OSTI]

    Mullenhoff, Donald J.; Wilson, Stephen W.

    1986-01-01

    A system for recording terrain profile information is disclosed. The system accurately senses incremental distances traveled by a vehicle along with vehicle inclination, recording both with elapsed time. The incremental distances can subsequently be differentiated with respect to time to obtain acceleration. The acceleration can then be used by the computer to correct the sensed inclination.

  20. Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar

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

    Onboard Type IV Compressed Hydrogen Storage System Cost Analysis U.S. Department of Energy Fuel Cell Technologies Office February 25, 2016 Presenter: Brian James - Strategic Analysis, Inc. DOE Host: Grace Ordaz- Technology Manager, Hydrogen Storage Program 2 | Fuel Cell Technologies Office eere.energy.gov Question and Answer * Please type your questions into the question box 2 Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Funded by the U.S. Department of Energy's Fuel Cell

  1. Analysis of Hybrid Hydrogen Systems: Final Report

    SciTech Connect (OSTI)

    Dean, J.; Braun, R.; Munoz, D.; Penev, M.; Kinchin, C.

    2010-01-01

    Report on biomass pathways for hydrogen production and how they can be hybridized to support renewable electricity generation. Two hybrid systems were studied in detail for process feasibility and economic performance. The best-performing system was estimated to produce hydrogen at costs ($1.67/kg) within Department of Energy targets ($2.10/kg) for central biomass-derived hydrogen production while also providing value-added energy services to the electric grid.

  2. Energy Policy and Systems Analysis Presentation: Energy Modeling 101 |

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

    Department of Energy Policy and Systems Analysis Presentation: Energy Modeling 101 Energy Policy and Systems Analysis Presentation: Energy Modeling 101 This presentation covers the basics of power sector capacity expansion modeling, and briefly touches on other types of modeling and analytical tools available to provide data on the electric power system, including energy efficiency. Energy Modeling 101 (963.35 KB) More Documents & Publications THE VALUE OF ECONOMIC DISPATCH A REPORT TO

  3. Electric System Decision Making in Other Regions: A Preliminary Analysis

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

    Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation | Department of Energy System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation Electric System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation The nation's electricity system is regional in nature,

  4. Integrated dynamic modeling and management system mission analysis

    SciTech Connect (OSTI)

    Lee, A.K.

    1994-12-28

    This document summarizes the mission analysis performed on the Integrated Dynamic Modeling and Management System (IDMMS). The IDMMS will be developed to provide the modeling and analysis capability required to understand the TWRS system behavior in terms of the identified TWRS performance measures. The IDMMS will be used to demonstrate in a verified and validated manner the satisfactory performance of the TWRS system configuration and assurance that the requirements have been satisfied.

  5. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Space Dust Analysis Could Provide Clues to Solar System Origins Print Thursday, 18 September 2014 12:34 New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar particles may be much more complex in structure and composition than previously thought. -The tiny particles could give scientists chemical clues about the origins of our solar system. Amateur Enthusiasts Key to Research

  6. US DRIVE Vehicle Systems and Analysis Technical Team Roadmap | Department

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

    of Energy Vehicle Systems and Analysis Technical Team Roadmap US DRIVE Vehicle Systems and Analysis Technical Team Roadmap VSATT provides the analytic support and subsystem characterizations that guide technology and system selections and assist U.S. DRIVE Technical Teams in determining performance goals and validation metrics. vsatt_roadmap_june2013.pdf (663.74 KB) More Documents & Publications US DRIVE Driving Research and Innovation for Vehicle Efficiency and Energy Sustainability

  7. Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report

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

    Hydrogen Storage Systems Analysis Working Group Meeting Argonne DC Offices L'Enfant Plaza, Washington, DC December 4, 2007 SUMMARY REPORT Compiled by Romesh Kumar Argonne National Laboratory and Kristin Deason Sentech, Inc. January 16, 2008 SUMMARY REPORT Hydrogen Storage Systems Analysis Working Group Meeting December 4, 2007 Argonne DC Offices, L'Enfant Plaza, Washington, DC Meeting Objectives This meeting was one of a continuing series of biannual meetings of the Hydrogen Storage Systems

  8. Integrated Circuit Failure Analysis Hypertext Help System

    Energy Science and Technology Software Center (OSTI)

    1995-02-23

    This software assists a failure analyst performing failure analysis on integrated circuits. The software can also be used to train inexperienced failure analysts. The software also provides a method for storing information and making it easily available to experienced failure analysts.

  9. ..&rrbt, Chief, Industrial Hy&na Branch, HerlthbrSas8byLaboratoly

    Office of Legacy Management (LM)

    tf..@ ..&rrbt, Chief, Industrial Hy&na Branch, HerlthbrSas8byLaboratoly ;,.; , ' 1 ' @@w-w 3, 1954 P. B. Klevin, Indurtrial Hygiexn J5rantah, Barrlei &'afelky Lab0raM~ : . .A , 3 t :;p,: . NATIONAL LEiD OF OHIO ROLLINO OFERATIONS AT SIHONr>s SAW 6 STEEL- Amm', +I& y9, <: '.. SmBoLt HSHtPBK ' -: - St. Louis Area Office at the Simnds Saw and Steel Co., k&port, NJ., on tha &boVe clrtm, I oblruloed tb Mat;Lonal Uad umu&m and thorium roll- ing operations which were

  10. Multi Megawatt Power System Analysis Report

    SciTech Connect (OSTI)

    Longhurst, Glen Reed; Harvego, Edwin Allan; Schnitzler, Bruce Gordon; Seifert, Gary Dean; Sharpe, John Phillip; Verrill, Donald Alan; Watts, Kenneth Donald; Parks, Benjamin Travis

    2001-11-01

    Missions to the outer planets or to near-by planets requiring short times and/or increased payload carrying capability will benefit from nuclear power. A concept study was undertaken to evaluate options for a multi-megawatt power source for nuclear electric propulsion. The nominal electric power requirement was set at 15 MWe with an assumed mission profile of 120 days at full power, 60 days in hot standby, and another 120 days of full power, repeated several times for 7 years of service. Of the numerous options considered, two that appeared to have the greatest promise were a gas-cooled reactor based on the NERVA Derivative design, operating a closed cycle Brayton power conversion system; and a molten lithium-cooled reactor based on SP-100 technology, driving a boiling potassium Rankine power conversion system. This study examined the relative merits of these two systems, seeking to optimize the specific mass. Conclusions were that either concept appeared capable of approaching the specific mass goal of 3-5 kg/kWe estimated to be needed for this class of mission, though neither could be realized without substantial development in reactor fuels technology, thermal radiator mass efficiency, and power conversion and distribution electronics and systems capable of operating at high temperatures. Though the gas-Brayton systems showed an apparent advantage in specific mass, differences in the degree of conservatism inherent in the models used suggests expectations for the two approaches may be similar. Brayton systems eliminate the need to deal with two-phase flows in the microgravity environment of space.

  11. EM threat analysis for wireless systems.

    SciTech Connect (OSTI)

    Burkholder, R. J. (Ohio State University Electroscience Laboratory); Mariano, Robert J.; Schniter, P. (Ohio State University Electroscience Laboratory); Gupta, I. J. (Ohio State University Electroscience Laboratory)

    2006-06-01

    Modern digital radio systems are complex and must be carefully designed, especially when expected to operate in harsh propagation environments. The ability to accurately predict the effects of propagation on wireless radio performance could lead to more efficient radio designs as well as the ability to perform vulnerability analyses before and after system deployment. In this report, the authors--experts in electromagnetic (EM) modeling and wireless communication theory--describe the construction of a simulation environment that is capable of quantifying the effects of wireless propagation on the performance of digital communication.

  12. Analysis of Hybrid Hydrogen Systems: Final Report

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

    U.S. Energy Information Administration Analysis of Heat Rate Improvement Potential at Coal-Fired Power Plants Release date: May 19, 2015 Introduction The thermal efficiency of electricity production is represented by the heat rate, which measures the amount of energy used to generate one kilowatthour of electricity.1 A generating unit with a lower, or more efficient, heat rate can generate the same quantity of electricity while consuming less fuel, compared with a unit with a higher heat

  13. Harmonic analysis of electrical distribution systems

    SciTech Connect (OSTI)

    1996-03-01

    This report presents data pertaining to research on harmonics of electric power distribution systems. Harmonic data is presented on RMS and average measurements for determination of harmonics in buildings; fluorescent ballast; variable frequency drive; georator geosine harmonic data; uninterruptible power supply; delta-wye transformer; westinghouse suresine; liebert datawave; and active injection mode filter data.

  14. An Experimental Metagenome Data Management and AnalysisSystem

    SciTech Connect (OSTI)

    Markowitz, Victor M.; Korzeniewski, Frank; Palaniappan, Krishna; Szeto, Ernest; Ivanova, Natalia N.; Kyrpides, Nikos C.; Hugenholtz, Philip

    2006-03-01

    The application of shotgun sequencing to environmental samples has revealed a new universe of microbial community genomes (metagenomes) involving previously uncultured organisms. Metagenome analysis, which is expected to provide a comprehensive picture of the gene functions and metabolic capacity of microbial community, needs to be conducted in the context of a comprehensive data management and analysis system. We present in this paper IMG/M, an experimental metagenome data management and analysis system that is based on the Integrated Microbial Genomes (IMG) system. IMG/M provides tools and viewers for analyzing both metagenomes and isolate genomes individually or in a comparative context.

  15. Liquid-Filled Piping System Analysis

    Energy Science and Technology Software Center (OSTI)

    1993-07-07

    WHAM6 is used to calculate pressure and velocity transients in liquid-filled piping networks. It can be applied to multiloop complex piping networks consisting of dead ends, elbows, orifices, multiple-branch tees, changes of flow passage cross section, check valves, pumps, pressurizers or tanks, and exit valves or breaks. Hydraulic losses are considered. Transients can be initiated either by closure or opening of one or more exit valves (equivalent to system ruptures) or by a prescribed gasmore » pressure history in a pressurizer tank.« less

  16. Big Data Visual Analytics for Exploratory Earth System Simulation Analysis

    SciTech Connect (OSTI)

    Steed, Chad A.; Ricciuto, Daniel M.; Shipman, Galen M.; Smith, Brian E.; Thornton, Peter E.; Wang, Dali; Shi, Xiaoying; Williams, Dean N.

    2013-12-01

    Rapid increases in high performance computing are feeding the development of larger and more complex data sets in climate research, which sets the stage for so-called big data analysis challenges. However, conventional climate analysis techniques are inadequate in dealing with the complexities of today s data. In this paper, we describe and demonstrate a visual analytics system, called the Exploratory Data analysis ENvironment (EDEN), with specific application to the analysis of complex earth system simulation data sets. EDEN represents the type of interactive visual analysis tools that are necessary to transform data into insight, thereby improving critical comprehension of earth system processes. In addition to providing an overview of EDEN, we describe real-world studies using both point ensembles and global Community Land Model Version 4 (CLM4) simulations.

  17. Modeling and Analysis of CSP Systems (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-08-01

    Fact sheet describing NREL CSP Program capabilities in the area of modeling and analysis of CSP systems: assessing the solar resource, predicting performance and cost, studying environmental impact, and developing modeling software packages.

  18. New airport liquid analysis system undergoes testing at Albuquerque

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

    International Sunport New airport liquid analysis system New airport liquid analysis system undergoes testing at Albuquerque International Sunport A new tool that distinguishes potential-threat liquids from the harmless shampoos and sodas a regular traveler might take aboard an aircraft. December 16, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from

  19. Office of Energy Policy and Systems Analysis | Department of Energy

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

    Office of Energy Policy and Systems Analysis Office of Energy Policy and Systems Analysis The Quadrennial Energy Review The Quadrennial Energy Review The Quadrennial Energy Review (QER) is the first review of our nation's energy infrastructure. (Photo Credit: Dennis Schroeder/NREL) Read more Revolution Now Revolution Now For four key clean energy technologies, the clean energy future has already arrived. Read more Partnership for Energy Sector Climate Resilience Partnership for Energy Sector

  20. Hydrogen Storage Systems Analysis Meeting: Summary Report, March 29, 2005

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

    Hydrogen Storage Systems Analysis Meeting 955 L'Enfant Plaza North, SW, Suite 6000 Washington, DC 20024-2168 March 29, 2005 SUMMARY REPORT Compiled by Romesh Kumar Argonne National Laboratory June 20, 2005 SUMMARY REPORT Hydrogen Storage Systems Analysis Meeting March 29, 2005 955 L'Enfant Plaza, North, SW, Suite 6000 Washington, DC 20024-2168 Meeting Objectives The objective of this meeting was to familiarize the DOE research community involved in hydrogen storage materials and process

  1. Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report

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

    Held in Conjunction with the DOE Hydrogen Program Annual Merit Review Crystal Gateway Marriott, Arlington, VA June 11, 2008 SUMMARY REPORT Compiled by Romesh Kumar Argonne National Laboratory and Elvin Yzugullu Sentech, Inc. July 18, 2008 SUMMARY REPORT Hydrogen Storage Systems Analysis Working Group Meeting June 11, 2008 Crystal Gateway Marriott, Arlington, VA Meeting Objectives This meeting was one of a continuing series of biannual meetings of the Hydrogen Storage Systems Analysis Working

  2. Extending and automating a Systems-Theoretic hazard analysis for requirements generation and analysis.

    SciTech Connect (OSTI)

    Thomas, John

    2012-05-01

    Systems Theoretic Process Analysis (STPA) is a powerful new hazard analysis method designed to go beyond traditional safety techniques - such as Fault Tree Analysis (FTA) - that overlook important causes of accidents like flawed requirements, dysfunctional component interactions, and software errors. While proving to be very effective on real systems, no formal structure has been defined for STPA and its application has been ad-hoc with no rigorous procedures or model-based design tools. This report defines a formal mathematical structure underlying STPA and describes a procedure for systematically performing an STPA analysis based on that structure. A method for using the results of the hazard analysis to generate formal safety-critical, model-based system and software requirements is also presented. Techniques to automate both the analysis and the requirements generation are introduced, as well as a method to detect conflicts between the safety and other functional model-based requirements during early development of the system.

  3. Function analysis for waste information systems

    SciTech Connect (OSTI)

    Sexton, J.L.; Neal, C.T.; Heath, T.C.; Starling, C.D.

    1996-04-01

    This study has a two-fold purpose. It seeks to identify the functional requirements of a waste tracking information system and to find feasible alternatives for meeting those requirements on the Oak Ridge Reservation (ORR) and the Portsmouth (PORTS) and Paducah (PGDP) facilities; identify options that offer potential cost savings to the US government and also show opportunities for improved efficiency and effectiveness in managing waste information; and, finally, to recommend a practical course of action that can be immediately initiated. In addition to identifying relevant requirements, it also identifies any existing requirements that are currently not being completely met. Another aim of this study is to carry out preliminary benchmarking by contacting representative companies about their strategic directions in waste information. The information obtained from representatives of these organizations is contained in an appendix to the document; a full benchmarking effort, however, is beyond the intended scope of this study.

  4. System analysis for sucker-rod pumping

    SciTech Connect (OSTI)

    Schmidt, Z.; Doty, D.R.

    1989-05-01

    Pumping free gas in an oil well can significantly decrease the efficiency of a sucker-rod-pumping installation. Pump placement depth and use of a downhole gas/liquid separator (gas anchor) were found to be significant variables in improving the overall efficiency. A procedure is presented that shows when and to what degree the use of a gas anchor improves the efficiency of a sucker-rod pumping system. It was found that at lower pump intake pressures, the gas anchor usually improves efficiency, but at higher pump intake pressures, use of a gas anchor produces no positive effect. Also, elevating the pump to the highest position that still allows proper pump loading was found to reduce the operating costs of a sucker-rod-pumping installation significantly. Finally, a procedure is presented to calculate directly the pump volumetric efficiency and required volumetric pump displacement rate.

  5. ScienceDirect JOURNAL OF ENVIRONMENTAL RADIOACTIVITY

    Office of Legacy Management (LM)

    ... Marine Pollution Bulletin 36, 19-26. Statistical Analysis System (SAS), 1995. SAS Users' ... Inc., Cary, NC. Seymour, A.H., Nelson, V.A., 1977. Radionuclides in air, water, and biota. ...

  6. Product Lifecycle Management Architecture: A Model Based Systems Engineering Analysis.

    SciTech Connect (OSTI)

    Noonan, Nicholas James

    2015-07-01

    This report is an analysis of the Product Lifecycle Management (PLM) program. The analysis is centered on a need statement generated by a Nuclear Weapons (NW) customer. The need statement captured in this report creates an opportunity for the PLM to provide a robust service as a solution. Lifecycles for both the NW and PLM are analyzed using Model Based System Engineering (MBSE).

  7. Analysis of LNG peakshaving-facility release-prevention systems

    SciTech Connect (OSTI)

    Pelto, P.J.; Baker, E.G.; Powers, T.B.; Schreiber, A.M.; Hobbs, J.M.; Daling, P.M.

    1982-05-01

    The purpose of this study is to provide an analysis of release prevention systems for a reference LNG peakshaving facility. An overview assessment of the reference peakshaving facility, which preceeded this effort, identified 14 release scenarios which are typical of the potential hazards involved in the operation of LNG peakshaving facilities. These scenarios formed the basis for this more detailed study. Failure modes and effects analysis and fault tree analysis were used to estimate the expected frequency of each release scenario for the reference peakshaving facility. In addition, the effectiveness of release prevention, release detection, and release control systems were evaluated.

  8. Vulnerability Analysis of Energy Delivery Control Systems - 2011 |

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

    Department of Energy Systems - 2011 Vulnerability Analysis of Energy Delivery Control Systems - 2011 Cybersecurity for energy delivery systems has emerged as one of the Nation's most serious grid modernization and infrastructure protection issues. Cyber adversaries are becoming increasingly targeted, sophisticated, and better financed. The energy sector must research, develop and deploy new cybersecurity capabilities faster than the adversary can launch new attack tools and techniques. The

  9. SWEPP Assay System Version 2.0 software design description

    SciTech Connect (OSTI)

    East, L.V.; Marwil, E.S.

    1996-08-01

    The Idaho National Engineering Laboratory (INEL) Stored Waste Examination Pilot Plant (SWEPP) operations staff use nondestructive analysis methods to characterize the radiological contents of contact-handled radioactive waste containers. Containers of waste from Rocky Flats Environmental Technology Site and other Department of Energy (DOE) sites are currently stored at SWEPP. Before these containers can be shipped to the Waste Isolation Pilot Plant (WIPP), SWEPP must verify compliance with storage, shipping, and disposal requirements. This program has been in operation since 1985 at the INEL Radioactive Waste Management Complex (RWMC). One part of the SWEPP program measures neutron emissions from the containers and estimates the mass of plutonium and other transuranic (TRU) isotopes present. A Passive/Active Neutron (PAN) assay system developed at the Los Alamos National Laboratory is used to perform these measurements. A computer program named NEUT2 was originally used to perform the data acquisition and reduction functions for the neutron measurements. This program was originally developed at Los Alamos and extensively modified by a commercial vendor of PAN systems and by personnel at the INEL. NEUT2 uses the analysis methodology outlined, but no formal documentation exists on the program itself. The SWEPP Assay System (SAS) computer program replaced the NEUT2 program in early 1994. The SAS software was developed using an `object model` approach and is documented in accordance with American National Standards Institute (ANSI) and Institute of Electrical and Electronic Engineers (IEEE) standards. The new program incorporates the basic analysis algorithms found in NEUT2. Additional functionality and improvements include a graphical user interface, the ability to change analysis parameters without program code modification, an `object model` design approach and other features for improved flexibility and maintainability.

  10. AnalyzeThis: An Analysis Workflow-Aware Storage System

    SciTech Connect (OSTI)

    Sim, Hyogi; Kim, Youngjae; Vazhkudai, Sudharshan S; Tiwari, Devesh; Anwar, Ali; Butt, Ali R; Ramakrishnan, Lavanya

    2015-01-01

    The need for novel data analysis is urgent in the face of a data deluge from modern applications. Traditional approaches to data analysis incur significant data movement costs, moving data back and forth between the storage system and the processor. Emerging Active Flash devices enable processing on the flash, where the data already resides. An array of such Active Flash devices allows us to revisit how analysis workflows interact with storage systems. By seamlessly blending together the flash storage and data analysis, we create an analysis workflow-aware storage system, AnalyzeThis. Our guiding principle is that analysis-awareness be deeply ingrained in each and every layer of the storage, elevating data analyses as first-class citizens, and transforming AnalyzeThis into a potent analytics-aware appliance. We implement the AnalyzeThis storage system atop an emulation platform of the Active Flash array. Our results indicate that AnalyzeThis is viable, expediting workflow execution and minimizing data movement.

  11. Failure modes and effects analysis of fusion magnet systems

    SciTech Connect (OSTI)

    Zimmermann, M; Kazimi, M S; Siu, N O; Thome, R J

    1988-12-01

    A failure modes and consequence analysis of fusion magnet system is an important contributor towards enhancing the design by improving the reliability and reducing the risk associated with the operation of magnet systems. In the first part of this study, a failure mode analysis of a superconducting magnet system is performed. Building on the functional breakdown and the fault tree analysis of the Toroidal Field (TF) coils of the Next European Torus (NET), several subsystem levels are added and an overview of potential sources of failures in a magnet system is provided. The failure analysis is extended to the Poloidal Field (PF) magnet system. Furthermore, an extensive analysis of interactions within the fusion device caused by the operation of the PF magnets is presented in the form of an Interaction Matrix. A number of these interactions may have significant consequences for the TF magnet system particularly interactions triggered by electrical failures in the PF magnet system. In the second part of this study, two basic categories of electrical failures in the PF magnet system are examined: short circuits between the terminals of external PF coils, and faults with a constant voltage applied at external PF coil terminals. An electromagnetic model of the Compact Ignition Tokamak (CIT) is used to examine the mechanical load conditions for the PF and the TF coils resulting from these fault scenarios. It is found that shorts do not pose large threats to the PF coils. Also, the type of plasma disruption has little impact on the net forces on the PF and the TF coils. 39 refs., 30 figs., 12 tabs.

  12. DOE Integrated Security System (DISS) preliminary communication security analysis

    SciTech Connect (OSTI)

    Sweeney, D. J.

    1993-10-01

    The purpose of this analysis is to document a technical approach to improve DOE Integrated Security System (DISS) dial-up communications security and the requirements to address them. This document is not intended as a comprehensive analysis of the security aspects of the DISS computer system but rather as an analysis of the dial-up communications security as it pertains to the use of the DISS database in the new DOE Automated Visitors Access Control System (DAVACS) procedures. Current access controls into the DISS will be discussed with emphasis on the DAVACS procedures. Recommendations will be provided for increasing the dial-up communications security into DISS as it relates to the automated visit procedures. Finally a design for an encrypted dial-up communication link to DISS will be given.

  13. Earthquake warning system for infrastructures : a scoping analysis.

    SciTech Connect (OSTI)

    Brodsky, Nancy S.; O'Connor, Sharon L.; Stamber, Kevin Louis; Kelic, Andjelka; Fogleman, William E.; Vugrin, Eric D.; Corbet, Thomas Frank, Jr.; Brown, Theresa Jean

    2011-09-01

    This report provides the results of a scoping study evaluating the potential risk reduction value of a hypothetical, earthquake early-warning system. The study was based on an analysis of the actions that could be taken to reduce risks to population and infrastructures, how much time would be required to take each action and the potential consequences of false alarms given the nature of the action. The results of the scoping analysis indicate that risks could be reduced through improving existing event notification systems and individual responses to the notification; and production and utilization of more detailed risk maps for local planning. Detailed maps and training programs, based on existing knowledge of geologic conditions and processes, would reduce uncertainty in the consequence portion of the risk analysis. Uncertainties in the timing, magnitude and location of earthquakes and the potential impacts of false alarms will present major challenges to the value of an early-warning system.

  14. Modular Automated Processing System (MAPS) for analysis of biological samples.

    SciTech Connect (OSTI)

    Gil, Geun-Cheol; Chirica, Gabriela S.; Fruetel, Julia A.; VanderNoot, Victoria A.; Branda, Steven S.; Schoeniger, Joseph S.; Throckmorton, Daniel J.; Brennan, James S.; Renzi, Ronald F.

    2010-10-01

    We have developed a novel modular automated processing system (MAPS) that enables reliable, high-throughput analysis as well as sample-customized processing. This system is comprised of a set of independent modules that carry out individual sample processing functions: cell lysis, protein concentration (based on hydrophobic, ion-exchange and affinity interactions), interferent depletion, buffer exchange, and enzymatic digestion of proteins of interest. Taking advantage of its unique capacity for enclosed processing of intact bioparticulates (viruses, spores) and complex serum samples, we have used MAPS for analysis of BSL1 and BSL2 samples to identify specific protein markers through integration with the portable microChemLab{trademark} and MALDI.

  15. Analysis of the Space Propulsion System Problem Using RAVEN

    SciTech Connect (OSTI)

    diego mandelli; curtis smith; cristian rabiti; andrea alfonsi

    2014-06-01

    This paper presents the solution of the space propulsion problem using a PRA code currently under development at Idaho National Laboratory (INL). RAVEN (Reactor Analysis and Virtual control ENviroment) is a multi-purpose Probabilistic Risk Assessment (PRA) software framework that allows dispatching different functionalities. It is designed to derive and actuate the control logic required to simulate the plant control system and operator actions (guided procedures) and to perform both Monte- Carlo sampling of random distributed events and Event Tree based analysis. In order to facilitate the input/output handling, a Graphical User Interface (GUI) and a post-processing data-mining module are available. RAVEN allows also to interface with several numerical codes such as RELAP5 and RELAP-7 and ad-hoc system simulators. For the space propulsion system problem, an ad-hoc simulator has been developed and written in python language and then interfaced to RAVEN. Such simulator fully models both deterministic (e.g., system dynamics and interactions between system components) and stochastic behaviors (i.e., failures of components/systems such as distribution lines and thrusters). Stochastic analysis is performed using random sampling based methodologies (i.e., Monte-Carlo). Such analysis is accomplished to determine both the reliability of the space propulsion system and to propagate the uncertainties associated to a specific set of parameters. As also indicated in the scope of the benchmark problem, the results generated by the stochastic analysis are used to generate risk-informed insights such as conditions under witch different strategy can be followed.

  16. Code System to Calculate Integrated Reliability and Risk Analysis.

    Energy Science and Technology Software Center (OSTI)

    2002-02-18

    Version 04 IRRAS Version 4.16, the latest in a series (2.0, 2.5, 4.0, 4.15), is a program developed for the purpose of performing those functions necessary to create and analyze a complete Probabilistic Risk Assessment (PRA). This program includes functions to allow the user to create event trees and fault trees, to define accident sequences and basic event failure data, to solve system and accident sequence fault trees, to quantify cut sets, and to performmore » uncertainty analysis on the results. Also included in this program are features to allow the analyst to generate reports and displays that can be used to document the results of an analysis. Since this software is a very detailed technical tool, the user of this program should be familiar with PRA concepts and the methods used to perform these analyses. IRRAS Version 4.16 is the latest in the stand-alone IRRAS series (2.0, 2.5, 4.0, 4.15). Be sure to review the PSR-405/ SAPHIRE 7.06 package which was released in January 2000 and includes three programs: the Integrated Reliability and Risk Analysis System (IRRAS), the System Analysis and Risk Assessment (SARA) system, the Models And Results Database (MAR-D) system, and the Fault tree, Event tree and P&ID (FEP) editors.« less

  17. Evaluation of energy system analysis techniques for identifying underground facilities

    SciTech Connect (OSTI)

    VanKuiken, J.C.; Kavicky, J.A.; Portante, E.C.

    1996-03-01

    This report describes the results of a study to determine the feasibility and potential usefulness of applying energy system analysis techniques to help detect and characterize underground facilities that could be used for clandestine activities. Four off-the-shelf energy system modeling tools were considered: (1) ENPEP (Energy and Power Evaluation Program) - a total energy system supply/demand model, (2) ICARUS (Investigation of Costs and Reliability in Utility Systems) - an electric utility system dispatching (or production cost and reliability) model, (3) SMN (Spot Market Network) - an aggregate electric power transmission network model, and (4) PECO/LF (Philadelphia Electric Company/Load Flow) - a detailed electricity load flow model. For the purposes of most of this work, underground facilities were assumed to consume about 500 kW to 3 MW of electricity. For some of the work, facilities as large as 10-20 MW were considered. The analysis of each model was conducted in three stages: data evaluation, base-case analysis, and comparative case analysis. For ENPEP and ICARUS, open source data from Pakistan were used for the evaluations. For SMN and PECO/LF, the country data were not readily available, so data for the state of Arizona were used to test the general concept.

  18. Hybrid energy system cost analysis: San Nicolas Island, California

    SciTech Connect (OSTI)

    Olsen, T.L.; McKenna, E.

    1996-07-01

    This report analyzes the local wind resource and evaluates the costs and benefits of supplementing the current diesel-powered energy system on San Nicolas Island, California (SNI), with wind turbines. In Section 2.0 the SNI site, naval operations, and current energy system are described, as are the data collection and analysis procedures. Section 3.0 summarizes the wind resource data and analyses that were presented in NREL/TP 442-20231. Sections 4.0 and 5.0 present the conceptual design and cost analysis of a hybrid wind and diesel energy system on SNI, with conclusions following in Section 6. Appendix A presents summary pages of the hybrid system spreadsheet model, and Appendix B contains input and output files for the HYBRID2 program.

  19. Computer-aided visualization and analysis system for sequence evaluation

    DOE Patents [OSTI]

    Chee, Mark S.

    1998-08-18

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments are improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device.

  20. Computer-aided visualization and analysis system for sequence evaluation

    DOE Patents [OSTI]

    Chee, Mark S.

    1999-10-26

    A computer system (1) for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area (814) and sample sequences in another area (816) on a display device (3).

  1. Computer-aided visualization and analysis system for sequence evaluation

    DOE Patents [OSTI]

    Chee, Mark S.

    2003-08-19

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device.

  2. Computer-aided visualization and analysis system for sequence evaluation

    DOE Patents [OSTI]

    Chee, Mark S.

    2001-06-05

    A computer system (1) for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments may be improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area (814) and sample sequences in another area (816) on a display device (3).

  3. Computer-aided visualization and analysis system for sequence evaluation

    DOE Patents [OSTI]

    Chee, Mark S.; Wang, Chunwei; Jevons, Luis C.; Bernhart, Derek H.; Lipshutz, Robert J.

    2004-05-11

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments are improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device.

  4. Computer-aided visualization and analysis system for sequence evaluation

    DOE Patents [OSTI]

    Chee, M.S.

    1998-08-18

    A computer system for analyzing nucleic acid sequences is provided. The computer system is used to perform multiple methods for determining unknown bases by analyzing the fluorescence intensities of hybridized nucleic acid probes. The results of individual experiments are improved by processing nucleic acid sequences together. Comparative analysis of multiple experiments is also provided by displaying reference sequences in one area and sample sequences in another area on a display device. 27 figs.

  5. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar particles may be much more complex in structure and composition than previously thought. -The tiny particles could give scientists chemical clues about the origins of our solar system. Amateur Enthusiasts Key to Research Progress The space dust that was captured by NASA's Stardust Interstellar Dust Collector landed in

  6. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar particles may be much more complex in structure and composition than previously thought. -The tiny particles could give scientists chemical clues about the origins of our solar system. Amateur Enthusiasts Key to Research Progress The space dust that was captured by NASA's Stardust Interstellar Dust Collector landed in

  7. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar particles may be much more complex in structure and composition than previously thought. -The tiny particles could give scientists chemical clues about the origins of our solar system. Amateur Enthusiasts Key to Research Progress The space dust that was captured by NASA's Stardust Interstellar Dust Collector landed in

  8. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar particles may be much more complex in structure and composition than previously thought. -The tiny particles could give scientists chemical clues about the origins of our solar system. Amateur Enthusiasts Key to Research Progress The space dust that was captured by NASA's Stardust Interstellar Dust Collector landed in

  9. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar particles may be much more complex in structure and composition than previously thought. -The tiny particles could give scientists chemical clues about the origins of our solar system. Amateur Enthusiasts Key to Research Progress The space dust that was captured by NASA's Stardust Interstellar Dust Collector landed in

  10. Space Dust Analysis Could Provide Clues to Solar System Origins

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

    Space Dust Analysis Could Provide Clues to Solar System Origins Print New studies of space dust captured by NASA's Stardust Interstellar Dust Collector have shown that interstellar particles may be much more complex in structure and composition than previously thought. -The tiny particles could give scientists chemical clues about the origins of our solar system. Amateur Enthusiasts Key to Research Progress The space dust that was captured by NASA's Stardust Interstellar Dust Collector landed in

  11. Pump Life Cycle Costs: A Guide to LCC Analysis for Pumping Systems...

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

    Life Cycle Costs: A Guide to LCC Analysis for Pumping Systems - Executive Summary Pump Life Cycle Costs: A Guide to LCC Analysis for Pumping Systems - Executive Summary This ...

  12. Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint

    SciTech Connect (OSTI)

    Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.

    2012-06-01

    The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.

  13. Multi-State Load Models for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.; Chassin, David P.

    2011-11-01

    Recent work in the field of distribution system analysis has shown that the traditional method of peak load analysis is not adequate for the analysis of emerging distribution system technologies. Voltage optimization, demand response, electric vehicle charging, and energy storage are examples of technologies with characteristics having daily, seasonal, and/or annual variations. In addition to the seasonal variations, emerging technologies such as demand response and plug in electric vehicle charging have the potential to send control signals to the end use loads which will affect how they consume energy. In order to support time-series analysis over different time frames and to incorporate potential control signal inputs it is necessary to develop detailed end use load models which accurately represent the load under various conditions, and not just during the peak load period. This paper will build on previous work on detail end use load modeling in order to outline the method of general multi-state load models for distribution system analysis.

  14. REVIEW OF NRC APPROVED DIGITAL CONTROL SYSTEMS ANALYSIS

    SciTech Connect (OSTI)

    D.W. Markman

    1999-09-17

    Preliminary design concepts for the proposed Subsurface Repository at Yucca Mountain indicate extensive reliance on modern, computer-based, digital control technologies. The purpose of this analysis is to investigate the degree to which the U. S. Nuclear Regulatory Commission (NRC) has accepted and approved the use of digital control technology for safety-related applications within the nuclear power industry. This analysis reviews cases of existing digitally-based control systems that have been approved by the NRC. These cases can serve as precedence for using similar types of digitally-based control technologies within the Subsurface Repository. While it is anticipated that the Yucca Mountain Project (YMP) will not contain control systems as complex as those required for a nuclear power plant, the review of these existing NRC approved applications will provide the YMP with valuable insight into the NRCs review process and design expectations for safety-related digital control systems. According to the YMP Compliance Program Guidance, portions of various NUREGS, Regulatory Guidelines, and nuclear IEEE standards the nuclear power plant safety related concept would be applied to some of the designs on a case-by-case basis. This analysis will consider key design methods, capabilities, successes, and important limitations or problems of selected control systems that have been approved for use in the Nuclear Power industry. An additional purpose of this analysis is to provide background information in support of further development of design criteria for the YMP. The scope and primary objectives of this analysis are to: (1) Identify and research the extent and precedence of digital control and remotely operated systems approved by the NRC for the nuclear power industry. Help provide a basis for using and relying on digital technologies for nuclear related safety critical applications. (2) Identify the basic control architecture and methods of key digital control

  15. Response margins of the dynamic analysis of piping systems

    SciTech Connect (OSTI)

    Johnson, J.J.; Benda, B.J.; Chuang, T.Y.; Smith, P.D.

    1984-04-01

    This report is organized as follows: Section 2 describes the three piping systems of the Zion nuclear power plant which formed the basis of the present study. The auxiliary feedwater (AFW) piping from steam generator to containment, the residual heat removal (RHR) and safety injection piping in the auxiliary building, and the reactor coolant loops (RCL) including a portion of the branch lines were analyzed. Section 3 describes the analysis methods and the analyses performed. Section 4 presents the numerical results; the principal results presented as comparisons of response calculated by best estimate time history analysis methods vs. the SRP response spectrum technique. Section 5 draws conclusions from the results. Appendix A contains a brief description of the mathematical models that defined the structures containing the three piping systems. Response from these models provided input to the piping models. Appendix B provides a detailed derivation of the pseudostatic mode approach to the multisupport time history analysis method used in this study.

  16. GCtool for fuel cell systems design and analysis : user documentation.

    SciTech Connect (OSTI)

    Ahluwalia, R.K.; Geyer, H.K.

    1999-01-15

    GCtool is a comprehensive system design and analysis tool for fuel cell and other power systems. A user can analyze any configuration of component modules and flows under steady-state or dynamic conditions. Component models can be arbitrarily complex in modeling sophistication and new models can be added easily by the user. GCtool also treats arbitrary system constraints over part or all of the system, including the specification of nonlinear objective functions to be minimized subject to nonlinear, equality or inequality constraints. This document describes the essential features of the interpreted language and the window-based GCtool environment. The system components incorporated into GCtool include a gas flow mixer, splitier, heater, compressor, gas turbine, heat exchanger, pump, pipe, diffuser, nozzle, steam drum, feed water heater, combustor, chemical reactor, condenser, fuel cells (proton exchange membrane, solid oxide, phosphoric acid, and molten carbonate), shaft, generator, motor, and methanol steam reformer. Several examples of system analysis at various levels of complexity are presented. Also given are instructions for generating two- and three-dimensional plots of data and the details of interfacing new models to GCtool.

  17. Reliability and availability requirements analysis for DEMO: fuel cycle system

    SciTech Connect (OSTI)

    Pinna, T.; Borgognoni, F.

    2015-03-15

    The Demonstration Power Plant (DEMO) will be a fusion reactor prototype designed to demonstrate the capability to produce electrical power in a commercially acceptable way. Two of the key elements of the engineering development of the DEMO reactor are the definitions of reliability and availability requirements (or targets). The availability target for a hypothesized Fuel Cycle has been analysed as a test case. The analysis has been done on the basis of the experience gained in operating existing tokamak fusion reactors and developing the ITER design. Plant Breakdown Structure (PBS) and Functional Breakdown Structure (FBS) related to the DEMO Fuel Cycle and correlations between PBS and FBS have been identified. At first, a set of availability targets has been allocated to the various systems on the basis of their operating, protection and safety functions. 75% and 85% of availability has been allocated to the operating functions of fuelling system and tritium plant respectively. 99% of availability has been allocated to the overall systems in executing their safety functions. The chances of the systems to achieve the allocated targets have then been investigated through a Failure Mode and Effect Analysis and Reliability Block Diagram analysis. The following results have been obtained: 1) the target of 75% for the operations of the fuelling system looks reasonable, while the target of 85% for the operations of the whole tritium plant should be reduced to 80%, even though all the tritium plant systems can individually reach quite high availability targets, over 90% - 95%; 2) all the DEMO Fuel Cycle systems can reach the target of 99% in accomplishing their safety functions. (authors)

  18. Unmanned deepwater-line repair system passes full-scale trials

    SciTech Connect (OSTI)

    Venzi, S.; Vienna, A. )

    1993-09-06

    The first ever full-scale tests of an unmanned, deepwater-pipeline repair system were successfully conducted last year off the coast of Italy. The Italian gas-transmission company SNAM tested a submersible automatic system (SAS) sealine repair system at a depth of 600 m. The modular SAS allows sealines to be repaired by installation of the Nuovo Pignone mechanical connector. The system's trials simulated complete repair intervention on the 20-in. Trans mediterranean pipeline and provided unprecedented experience to SNAM and to the other involved in this project. The paper discusses the origin of the idea for the SAS, the design of the system, construction and testing, the first sea trials, final deep sea trials, and future developments.

  19. PVUSA instrumentation and data analysis techniques for photovoltaic systems

    SciTech Connect (OSTI)

    Newmiller, J.; Hutchinson, P.; Townsend, T.; Whitaker, C.

    1995-10-01

    The Photovoltaics for Utility Scale Applications (PVUSA) project tests two types of PV systems at the main test site in Davis, California: new module technologies fielded as 20-kW Emerging Module Technology (EMT) arrays and more mature technologies fielded as 70- to 500-kW turnkey Utility-Scale (US) systems. PVUSA members have also installed systems in their service areas. Designed appropriately, data acquisition systems (DASs) can be a convenient and reliable means of assessing system performance, value, and health. Improperly designed, they can be complicated, difficult to use and maintain, and provide data of questionable validity. This report documents PVUSA PV system instrumentation and data analysis techniques and lessons learned. The report is intended to assist utility engineers, PV system designers, and project managers in establishing an objective, then, through a logical series of topics, facilitate selection and design of a DAS to meet the objective. Report sections include Performance Reporting Objectives (including operational versus research DAS), Recommended Measurements, Measurement Techniques, Calibration Issues, and Data Processing and Analysis Techniques. Conclusions and recommendations based on the several years of operation and performance monitoring are offered. This report is one in a series of 1994--1995 PVUSA reports documenting PVUSA lessons learned at the demonstration sites in Davis and Kerman, California. Other topical reports address: five-year assessment of EMTs; validation of the Kerman 500-kW grid support PV plant benefits; construction and safety experience in installing and operating PV systems; balance-of-system design and costs; procurement, acceptance, and rating practices for PV power plants; experience with power conditioning units and power quality.

  20. Analysis of Ultracapacitor-VRLA Energy Storage Systems for Mild Hybrids (Presentation)

    SciTech Connect (OSTI)

    Markel, T.; Pesaran, A.; Sprik, S.

    2005-06-01

    Presents an analysis of VRLA + ultracapacitor use as energy storage systems in mild hybrid vehicles.

  1. Technical analysis of prospective photovoltaic systems in Utah.

    SciTech Connect (OSTI)

    Quiroz, Jimmy Edward; Cameron, Christopher P.

    2012-02-01

    This report explores the technical feasibility of prospective utility-scale photovoltaic system (PV) deployments in Utah. Sandia National Laboratories worked with Rocky Mountain Power (RMP), a division of PacifiCorp operating in Utah, to evaluate prospective 2-megawatt (MW) PV plants in different locations with respect to energy production and possible impact on the RMP system and customers. The study focused on 2-MW{sub AC} nameplate PV systems of different PV technologies and different tracking configurations. Technical feasibility was evaluated at three different potential locations in the RMP distribution system. An advanced distribution simulation tool was used to conduct detailed time-series analysis on each feeder and provide results on the impacts on voltage, demand, voltage regulation equipment operations, and flicker. Annual energy performance was estimated.

  2. Economic analysis of PV hybrid power system: Pinnacles National Monument

    SciTech Connect (OSTI)

    Rosenthal, A.; Durand, S.; Thomas, M.; Post, H.

    1997-11-01

    PV hybrid electric power systems can offer an economically competitive alternative to engine generator (genset) systems in many off-grid applications. Besides the obvious `green` advantages of producing less noise and emissions, the PV hybrid can, in some cases, offer a lower life-cycle cost (LCC) then the genset. This paper evaluates the LCC of the 9.6 kWp PV hybrid power system installed by the National Park Services (NPS) at Pinnacles National Monument, CA. NPS motivation for installation of this hybrid was not based on economics, but rather the need to replace two aging diesel gensets with an alternative that would be quieter, fuel efficient, and more in keeping with new NPS emphasis on sustainable design and operations. In fact, economic analysis shows a lower 20-year LCC for the installed PV hybrid than for simple replacement of the two gensets. The analysis projects are net savings by the PV hybrid system of $83,561 and over 162,000 gallons of propane when compared with the genset-only system. This net savings is independent of the costs associated with environmental emissions. The effects of including emissions costs, according to NPS guidelines, is also discussed. 5 refs., 2 figs., 3 tabs.

  3. A consistent orbital stability analysis for the GJ 581 system

    SciTech Connect (OSTI)

    Joiner, David A.; Sul, Cesar; Kress, Monika E.; Dragomir, Diana; Kane, Stephen R.

    2014-06-20

    We apply a combination of N-body modeling techniques and automated data fitting with Monte Carlo Markov Chain uncertainty analysis of Keplerian orbital models to RV data to determine long-term stability of the planetary system GJ 581. We find that while there are stability concerns with the four-planet model as published by Forveille et al., when uncertainties in the system are accounted for, particularly stellar jitter, the hypothesis that the four-planet model is gravitationally unstable is not statistically significant. Additionally, the system including proposed planet g by Vogt et al. also shows some stability concerns when eccentricities are allowed to float in the orbital fit, yet when uncertainties are included in the analysis, the system including planet g also cannot be proven to be unstable. We present revised reduced ?{sup 2} values for Keplerian astrocentric orbital fits assuming four-planet and five-planet models for GJ 581 under the condition that best fits must be stable, and we find no distinguishable difference by including planet g in the model. Additionally, we present revised orbital element estimates for each, assuming uncertainties due to stellar jitter under the constraint of the system being gravitationally stable.

  4. SAS2H Generated Isotopic Concentrations For B&W 15X15 PWR Assembly (SCPB:N/A)

    SciTech Connect (OSTI)

    J.W. Davis

    1996-08-29

    This analysis is prepared by the Mined Geologic Disposal System (MGDS) Waste Package Development Department (WPDD) to provide pressurized water reactor (PWR) isotopic composition data as a function of time for use in criticality analyses. The objectives of this evaluation are to generate burnup and decay dependant isotopic inventories and to provide these inventories in a form which can easily be utilized in subsequent criticality calculations.

  5. Systems analysis of past, present, and future chemical terrorism scenarios.

    SciTech Connect (OSTI)

    Hoette, Trisha Marie

    2012-03-01

    Throughout history, as new chemical threats arose, strategies for the defense against chemical attacks have also evolved. As a part of an Early Career Laboratory Directed Research and Development project, a systems analysis of past, present, and future chemical terrorism scenarios was performed to understand how the chemical threats and attack strategies change over time. For the analysis, the difficulty in executing chemical attack was evaluated within a framework of three major scenario elements. First, historical examples of chemical terrorism were examined to determine how the use of chemical threats, versus other weapons, contributed to the successful execution of the attack. Using the same framework, the future of chemical terrorism was assessed with respect to the impact of globalization and new technologies. Finally, the efficacy of the current defenses against contemporary chemical terrorism was considered briefly. The results of this analysis justify the need for continued diligence in chemical defense.

  6. Safety analysis report for packaging (onsite) sample pig transport system

    SciTech Connect (OSTI)

    MCCOY, J.C.

    1999-03-16

    This Safety Analysis Report for Packaging (SARP) provides a technical evaluation of the Sample Pig Transport System as compared to the requirements of the U.S. Department of Energy, Richland Operations Office (RL) Order 5480.1, Change 1, Chapter III. The evaluation concludes that the package is acceptable for the onsite transport of Type B, fissile excepted radioactive materials when used in accordance with this document.

  7. NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

    NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.

  8. System and method for high precision isotope ratio destructive analysis

    DOE Patents [OSTI]

    Bushaw, Bruce A; Anheier, Norman C; Phillips, Jon R

    2013-07-02

    A system and process are disclosed that provide high accuracy and high precision destructive analysis measurements for isotope ratio determination of relative isotope abundance distributions in liquids, solids, and particulate samples. The invention utilizes a collinear probe beam to interrogate a laser ablated plume. This invention provides enhanced single-shot detection sensitivity approaching the femtogram range, and isotope ratios that can be determined at approximately 1% or better precision and accuracy (relative standard deviation).

  9. Transportation Routing Analysis Geographic Information System (TRAGIS) User's Manual

    SciTech Connect (OSTI)

    Johnson, PE

    2003-09-18

    The Transportation Routing Analysis Geographic Information System (TRAGIS) model is used to calculate highway, rail, or waterway routes within the United States. TRAGIS is a client-server application with the user interface and map data files residing on the user's personal computer and the routing engine and network data files on a network server. The user's manual provides documentation on installation and the use of the many features of the model.

  10. Cost/benefit analysis for video security systems

    SciTech Connect (OSTI)

    1997-01-01

    Dr. Don Hush and Scott Chapman, in conjunction with the Electrical and Computer Engineering Department of the University of New Mexico (UNM), have been contracted by Los Alamos National Laboratories to perform research in the area of high security video analysis. The first phase of this research, presented in this report, is a cost/benefit analysis of various approaches to the problem in question. This discussion begins with a description of three architectures that have been used as solutions to the problem of high security surveillance. An overview of the relative merits and weaknesses of each of the proposed systems is included. These descriptions are followed directly by a discussion of the criteria chosen in evaluating the systems and the techniques used to perform the comparisons. The results are then given in graphical and tabular form, and their implications discussed. The project to this point has involved assessing hardware and software issues in image acquisition, processing and change detection. Future work is to leave these questions behind to consider the issues of change analysis - particularly the detection of human motion - and alarm decision criteria. The criteria for analysis in this report include: cost; speed; tradeoff issues in moving primative operations from software to hardware; real time operation considerations; change image resolution; and computational requirements.

  11. Uncertainty and sensitivity analysis for photovoltaic system modeling.

    SciTech Connect (OSTI)

    Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk

    2013-12-01

    We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.

  12. A System Degradation Study of 445 Systems Using Year-Over-Year Performance Index Analysis

    Broader source: Energy.gov [DOE]

    This graphic summarizes the results of a study conducted by the SunPower Corporation, to assess the median degradation of a large number of systems. This is important because solar investors need proof of low degradation. The study, a project under DOE's SunShot Initiative, makes use of year-over-year performance index change analysis, a powerful and practical technique for assessing the median degradation of a large fleet of systems, which in this case includes a sample of 445.

  13. Analysis of reactor trips originating in balance of plant systems

    SciTech Connect (OSTI)

    Stetson, F.T.; Gallagher, D.W.; Le, P.T.; Ebert, M.W. )

    1990-09-01

    This report documents the results of an analysis of balance-of-plant (BOP) related reactor trips at commercial US nuclear power plants of a 5-year period, from January 1, 1984, through December 31, 1988. The study was performed for the Plant Systems Branch, Office of Nuclear Reactor Regulation, US Nuclear Regulatory Commission. The objectives of the study were: to improve the level of understanding of BOP-related challenges to safety systems by identifying and categorizing such events; to prepare a computerized data base of BOP-related reactor trip events and use the data base to identify trends and patterns in the population of these events; to investigate the risk implications of BOP events that challenge safety systems; and to provide recommendations on how to address BOP-related concerns in regulatory context. 18 refs., 2 figs., 27 tabs.

  14. Analysis of Photovoltaic System Energy Performance Evaluation Method

    SciTech Connect (OSTI)

    Kurtz, S.; Newmiller, J.; Kimber, A.; Flottemesch, R.; Riley, E.; Dierauf, T.; McKee, J.; Krishnani, P.

    2013-11-01

    Documentation of the energy yield of a large photovoltaic (PV) system over a substantial period can be useful to measure a performance guarantee, as an assessment of the health of the system, for verification of a performance model to then be applied to a new system, or for a variety of other purposes. Although the measurement of this performance metric might appear to be straight forward, there are a number of subtleties associated with variations in weather and imperfect data collection that complicate the determination and data analysis. A performance assessment is most valuable when it is completed with a very low uncertainty and when the subtleties are systematically addressed, yet currently no standard exists to guide this process. This report summarizes a draft methodology for an Energy Performance Evaluation Method, the philosophy behind the draft method, and the lessons that were learned by implementing the method.

  15. Momentum Integral Network Method for Thermal-Hydraulic Systems Analysis.

    Energy Science and Technology Software Center (OSTI)

    2000-11-20

    EPIPE is used for design or design evaluation of complex large piping systems. The piping systems can be viewed as a network of straight pipe elements (or tangents) and curved elements (pipe bends) interconnected at joints (or nodes) with intermediate supports and anchors. The system may be subject to static loads such as thermal, dead weight, internal pressure, or dynamic loads such as earthquake motions and flow-induced vibrations, or any combination of these. MINET (Momentummore » Integral NETwork) was developed for the transient analysis of intricate fluid flow and heat transfer networks, such as those found in the balance of plant in power generating facilities. It can be utilized as a stand-alone program or interfaced to another computer program for concurrent analysis. Through such coupling, a computer code limited by either the lack of required component models or large computational needs can be extended to more fully represent the thermal hydraulic system thereby reducing the need for estimating essential transient boundary conditions. The MINET representation of a system is one or more networks of volumes, segments, and boundaries linked together via heat exchangers only, i.e., heat can transfer between networks, but fluids cannot. Volumes are used to represent tanks or other volume components, as well as locations in the system where significant flow divisions or combinations occur. Segments are composed of one or more pipes, pumps, heat exchangers, turbines, and/or valves each represented by one or more nodes. Boundaries are simply points where the network interfaces with the user or another computer code. Several fluids can be simulated, including water, sodium, NaK, and air.« less

  16. Systems Analysis Programs for Hands-On Integrated Reliability Evaluations.

    Energy Science and Technology Software Center (OSTI)

    2014-08-01

    Version 00 The U.S. Nuclear Regulatory Commission (NRC) has developed a powerful personal computer (PC) software application for performing probabilistic risk assessments (PRAs), called Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) Version 8. Using SAPHIRE 8 on a PC, an analyst can perform a PRA for any complex system, facility, or process. Regarding nuclear power plants, SAPHIRE can be used to model a plant's response to initiating events, quantify associated core damage frequencies,more » and identify important contributors to core damage (Level 1 PRA). It can also be used to evaluate containment failure and release models for severe accident conditions, given that core damage has occurred (Level 2 PRA). It can be used for a PRA assuming that the reactor is at full power, at low power, or at shutdown conditions. Furthermore, it can be used to analyze both internal and external initiating events, and it has special features for transforming models built for internal event analysis to models for external event analysis. It can also be used in a limited manner to quantify risk for release consequences to both the public and the environment (Level 3 PRA). For all of these models, SAPHIRE can evaluate the uncertainty inherent in the probabilistic models. SAPHIRE has evolved with advances in computer technology.« less

  17. Neutron Polarization Analysis for Biphasic Solvent Extraction Systems

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

    Motokawa, Ryuhei; Endo, Hitoshi; Nagao, Michihiro; Heller, William T.

    2016-06-16

    Here we performed neutron polarization analysis (NPA) of extracted organic phases containing complexes, comprised of Zr(NO3)4 and tri-n-butyl phosphate, which enabled decomposition of the intensity distribution of small-angle neutron scattering (SANS) into the coherent and incoherent scattering components. The coherent scattering intensity, containing structural information, and the incoherent scattering compete over a wide range of magnitude of scattering vector, q, specifically when q is larger than q* ≈ 1/Rg, where Rg is the radius of gyration of scatterer. Therefore, it is important to determine the incoherent scattering intensity exactly to perform an accurate structural analysis from SANS data when Rgmore » is small, such as the aforementioned extracted coordination species. Although NPA is the best method for evaluating the incoherent scattering component for accurately determining the coherent scattering in SANS, this method is not used frequently in SANS data analysis because it is technically challenging. In this study, we successfully demonstrated that experimental determination of the incoherent scattering using NPA is suitable for sample systems containing a small scatterer with a weak coherent scattering intensity, such as extracted complexes in biphasic solvent extraction systems.« less

  18. TFCX pumped limiter and vacuum pumping system design and analysis

    SciTech Connect (OSTI)

    Haines, J.R.

    1985-04-01

    Impurity control system design and performance studies were performed in support of the Tokamak Fusion Core Experiment (TFCX) pre-conceptual design. Efforts concentrated on pumped limiter and vacuum pumping system design configuration, thermal/mechanical and erosion lifetime performance of the limiter protective surface, and helium ash removal performance. The reference limiter design forms a continuous toroidal belt at the bottom of the device and features a flat surface with a single leading edge. The vacuum pumping system features large vacuum ducts (diameter approximately 1 m) and high-speed, compound cryopumps. Analysis results indicate that the limiter/vacuum pumping system design provides adequate helium ash removal. Erosion, primarily by disruption-induced vaporization and/or melting, limits the protective surface lifetime to about one calendar year or only about 60 full-power hours of operation. In addition to evaluating impurity control system performance for nominal TFCX conditions, these studies attempt to focus on the key plasma physics and engineering design issues that should be addressed in future research and development programs.

  19. Choosing among alternative recycling systems: An economic analysis

    SciTech Connect (OSTI)

    Stedge, G.D. . Dept. of Agricultural and Applied Economics); Halstead, J.M. . Dept. of Resource Economics and Development)

    1994-03-01

    Due to the increasing concern over the disposal of municipal solid waste, municipalities have begun searching for ways to recycle a larger percentage to their waste stream at a reasonable cost. This report examines bag-based recycling. This system, due to its efficient collection and separation method, and its convenience, should be able to capture a larger share of the waste stream at a lower cost per metric ton than conventional recycling programs. Using a case study approach, a bag-based program is compared with a curbside-sort program and a drop-off program. Using time/motion analysis, a garbage composition study, a household survey, and the recording of set-out rates of a sample of dwelling units, the efficiency of the three programs was defined and estimated. The efficiency of the bag-based system was also estimated for three areas with distinct household densities. Although the curbside-sort program was found to divert a larger percentage of the residential waste stream than the bag-based system, the cost per metric ton of the bag-based system is so much lower that it clearly is the most efficient of the three programs. The drop-off program had a very low cost per metric ton; however, if failed to divert the minimum acceptable level of the waste stream. The bag-based system proved to be more efficient in areas with higher household densities.

  20. Enhanced Accident Tolerant Fuels for LWRS - A Preliminary Systems Analysis

    SciTech Connect (OSTI)

    Gilles Youinou; R. Sonat Sen

    2013-09-01

    The severe accident at Fukushima Daiichi nuclear plants illustrates the need for continuous improvements through developing and implementing technologies that contribute to safe, reliable and cost-effective operation of the nuclear fleet. Development of enhanced accident tolerant fuel contributes to this effort. These fuels, in comparison with the standard zircaloy – UO2 system currently used by the LWR industry, should be designed such that they tolerate loss of active cooling in the core for a longer time period (depending on the LWR system and accident scenario) while maintaining or improving the fuel performance during normal operations, operational transients, and design-basis events. This report presents a preliminary systems analysis related to most of these concepts. The potential impacts of these innovative LWR fuels on the front-end of the fuel cycle, on the reactor operation and on the back-end of the fuel cycle are succinctly described without having the pretension of being exhaustive. Since the design of these various concepts is still a work in progress, this analysis can only be preliminary and could be updated as the designs converge on their respective final version.

  1. Waste Isolation Pilot Plant TruDock crane system analysis

    SciTech Connect (OSTI)

    Morris, B.C.; Carter, M.

    1996-10-01

    The WIPP TruDock crane system located in the Waste Handling Building was identified in the WIPP Safety Analysis Report (SAR), November 1995, as a potential accident concern due to failures which could result in a dropped load. The objective of this analysis is to evaluate the frequency of failure of the TruDock crane system resulting in a dropped load and subsequent loss of primary containment, i.e. drum failure. The frequency of dropped loads was estimated to be 9.81E-03/year or approximately one every 102 years (or, for the 25% contingency, 7.36E-03/year or approximately one every 136 years). The dominant accident contributor was the failure of the cable/hook assemblies, based on failure data obtained from NUREG-0612, as analyzed by PLG, Inc. The WIPP crane system undergoes a rigorous test and maintenance program, crane operation is discontinued following any abnormality, and the crane operator and load spotter are required to be trained in safe crane operation, therefore it is felt that the WIPP crane performance will exceed the data presented in NUREG-0612 and the estimated failure frequency is felt to be conservative.

  2. System diagnostics using qualitative analysis and component functional classification

    DOE Patents [OSTI]

    Reifman, J.; Wei, T.Y.C.

    1993-11-23

    A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system. 5 figures.

  3. System diagnostics using qualitative analysis and component functional classification

    DOE Patents [OSTI]

    Reifman, Jaques; Wei, Thomas Y. C.

    1993-01-01

    A method for detecting and identifying faulty component candidates during off-normal operations of nuclear power plants involves the qualitative analysis of macroscopic imbalances in the conservation equations of mass, energy and momentum in thermal-hydraulic control volumes associated with one or more plant components and the functional classification of components. The qualitative analysis of mass and energy is performed through the associated equations of state, while imbalances in momentum are obtained by tracking mass flow rates which are incorporated into a first knowledge base. The plant components are functionally classified, according to their type, as sources or sinks of mass, energy and momentum, depending upon which of the three balance equations is most strongly affected by a faulty component which is incorporated into a second knowledge base. Information describing the connections among the components of the system forms a third knowledge base. The method is particularly adapted for use in a diagnostic expert system to detect and identify faulty component candidates in the presence of component failures and is not limited to use in a nuclear power plant, but may be used with virtually any type of thermal-hydraulic operating system.

  4. Thermal Storage System for Electric Vehicle Cabin Heating Component and System Analysis

    SciTech Connect (OSTI)

    LaClair, Tim J; Gao, Zhiming; Abdelaziz, Omar; Wang, Mingyu; WolfeIV, Edward; Craig, Timothy

    2016-01-01

    Cabin heating of current electric vehicle (EV) designs is typically provided using electrical energy from the traction battery, since waste heat is not available from an engine as in the case of a conventional automobile. In very cold climatic conditions, the power required for space heating of an EV can be of a similar magnitude to that required for propulsion of the vehicle. As a result, its driving range can be reduced very significantly during the winter season, which limits consumer acceptance of EVs and results in increased battery costs to achieve a minimum range while ensuring comfort to the EV driver. To minimize the range penalty associated with EV cabin heating, a novel climate control system that includes thermal energy storage from an advanced phase change material (PCM) has been designed for use in EVs and plug-in hybrid electric vehicles (PHEVs). The present paper focuses on the modeling and analysis of this electrical PCM-Assisted Thermal Heating System (ePATHS) and is a companion to the paper Design and Testing of a Thermal Storage System for Electric Vehicle Cabin Heating. A detailed heat transfer model was developed to simulate the PCM heat exchanger that is at the heart of the ePATHS and was subsequently used to analyze and optimize its design. The results from this analysis were integrated into a MATLAB Simulink system model to simulate the fluid flow, pressure drop and heat transfer in all components of the ePATHS. The system model was then used to predict the performance of the climate control system in the vehicle and to evaluate control strategies needed to achieve the desired temperature control in the cabin. The analysis performed to design the ePATHS is described in detail and the system s predicted performance in a vehicle HVAC system is presented.

  5. SOLERAS - Solar Energy Water Desalination Project: Catalytic. System design final report. Volume 1. System requirement definition and system analysis

    SciTech Connect (OSTI)

    Not Available

    1986-01-01

    Catalytic Inc. was awarded a contract to conduct a preliminary system design and cost analysis for a brackish water desalination project to be located in Brownsville, Texas. System analyses and economic analyses were performed to define the baseline solar energy desalination system. The baseline system provides an average daily product water capacity of 6000 mT. The baseline system is optimal relative to technological risk, performance, and product water cost. Subsystems and their interfaces have been defined and product water cost projections made for commercial plants in a range of capacities. Science Applications, Inc. (SAI), subcontractor to Catalytic, had responsibility for the solar power system. This, the final report, summarizes the work performed under the Phase I effort.

  6. Life-cycle analysis results of geothermal systems in comparison to other power systems.

    SciTech Connect (OSTI)

    Sullivan, J. L.; Clark, C. E.; Han, J.; Wang, M.; Energy Systems

    2010-10-11

    A life-cycle energy and greenhouse gas emissions analysis has been conducted with Argonne National Laboratory's expanded Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model for geothermal power-generating technologies, including enhanced geothermal, hydrothermal flash, and hydrothermal binary technologies. As a basis of comparison, a similar analysis has been conducted for other power-generating systems, including coal, natural gas combined cycle, nuclear, hydroelectric, wind, photovoltaic, and biomass by expanding the GREET model to include power plant construction for these latter systems with literature data. In this way, the GREET model has been expanded to include plant construction, as well as the usual fuel production and consumption stages of power plant life cycles. For the plant construction phase, on a per-megawatt (MW) output basis, conventional power plants in general are found to require less steel and concrete than renewable power systems. With the exception of the concrete requirements for gravity dam hydroelectric, enhanced geothermal and hydrothermal binary used more of these materials per MW than other renewable power-generation systems. Energy and greenhouse gas (GHG) ratios for the infrastructure and other life-cycle stages have also been developed in this study per kilowatt-hour (kWh) of electricity output by taking into account both plant capacity and plant lifetime. Generally, energy burdens per energy output associated with plant infrastructure are higher for renewable systems than conventional ones. GHG emissions per kWh of electricity output for plant construction follow a similar trend. Although some of the renewable systems have GHG emissions during plant operation, they are much smaller than those emitted by fossil fuel thermoelectric systems. Binary geothermal systems have virtually insignificant GHG emissions compared to fossil systems. Taking into account plant construction and operation, the GREET

  7. Thermal Reactor Code System for Reactor Design and Analysis.

    Energy Science and Technology Software Center (OSTI)

    2003-04-21

    Version: 00 SRAC95 is a general purpose neutronics code system applicable to core analyses of various types of reactors, including cell calculation with burn up, core calculation for any type of thermal reactor; where core burn up calculation and fuel management were done by an auxiliary code. Since the publication of JAERI-1302 for the revised SRAC in 1986, a number of additions and modifications were made for nuclear data libraries and programs. In this version,more » many new functions and data are implemented to support nuclear design studies of advanced reactors. SRAC95 can be used for burnup credit analysis within the ORIGEN2 and SWAT (CCC-714) code system.« less

  8. Data analysis using the Gnu R system for statistical computation

    SciTech Connect (OSTI)

    Simone, James; /Fermilab

    2011-07-01

    R is a language system for statistical computation. It is widely used in statistics, bioinformatics, machine learning, data mining, quantitative finance, and the analysis of clinical drug trials. Among the advantages of R are: it has become the standard language for developing statistical techniques, it is being actively developed by a large and growing global user community, it is open source software, it is highly portable (Linux, OS-X and Windows), it has a built-in documentation system, it produces high quality graphics and it is easily extensible with over four thousand extension library packages available covering statistics and applications. This report gives a very brief introduction to R with some examples using lattice QCD simulation results. It then discusses the development of R packages designed for chi-square minimization fits for lattice n-pt correlation functions.

  9. Sensitivity Analysis of Dynamic Stability Indicators in Power Systems

    SciTech Connect (OSTI)

    Nguyen, Tony B.; Pai, M. A.

    2006-01-01

    Real time stability evaluation and preventive scheduling in power systems offers many challenges in a stressed power system. Through fast simulation of contingencies in real time it is possible to extract suitable information from the data and develop reliable metrics or indices to evaluate proximity of the system to an unstable condition. In this chapter we review the recent applications of the trajectory sensitivity analysis (TSA) technique in developing such indicators. Trajectory sensitivities can be used to compute critical parameters such as clearing time of circuit breakers, tie line flow, etc. in a power system by developing suitable norms for ease of interpretation. Alternatively it can be used along with the notion of Principal Singular Surfaces (PSS) to detect mode of instability (MOI). The TSA technique has the advantage that model complexity is not a limitation and the sensitivities are computed numerically. Suitable metrics are developed from these sensitivities. In addition to computing critical parameters, the TSA technique can be extended to do preventive rescheduling. A brief discussion of other applications of TSA is included as well as future areas of research.

  10. Geographic information system applications in coal transportation analysis

    SciTech Connect (OSTI)

    Elmes, G.

    1996-12-31

    Geographic information systems (GIS) offer great potential to the coal transportation industry for capitalizing on the growing availability of spatially-referenced data. As computer-based systems for the collection, storage, retrieval and analysis of spatial data, generating information products in a variety of formats, GIS have a great capability to improve the efficiency and effectiveness of coal transportation operations, planning, engineering, and facilities management. Currently GIS are used in the transportation industry at large to analyze, and display information about network infrastructure, fleet operations, property ownership, routing and scheduling, and utilities. Current coal transportation applications include consumer service inquiries, train and locomotive scheduling, and evaluation of network usage. The paper describes the significant potential uses of GIS in the coal transportation sector when integrated with optimization and decision support systems, scientific visualization, data forecasting, and strategic system planning approaches. Ultimately consumer demand and the drive for economic efficiency are likely to stimulate the integration and management of spatial information across the entire coal chain.

  11. Development of a gas systems analysis model (GSAM)

    SciTech Connect (OSTI)

    Godec, M.L.

    1995-04-01

    The objectives of developing a Gas Systems Analysis Model (GSAM) are to create a comprehensive, non-proprietary, PC based model of domestic gas industry activity. The system is capable of assessing the impacts of various changes in the natural gas system within North America. The individual and collective impacts due to changes in technology and economic conditions are explicitly modeled in GSAM. Major gas resources are all modeled, including conventional, tight, Devonian Shale, coalbed methane, and low-quality gas sources. The modeling system asseses all key components of the gas industry, including available resources, exploration, drilling, completion, production, and processing practices, both for now and in the future. The model similarly assesses the distribution, storage, and utilization of natural gas in a dynamic market-based analytical structure. GSAM is designed to provide METC managers with a tool to project the impacts of future research, development, and demonstration (RD&D) benefits in order to determine priorities in a rapidly changing, market-driven gas industry.

  12. Analysis of LNG import terminal release prevention systems

    SciTech Connect (OSTI)

    Baker, E G

    1982-04-01

    The release prevention systems of liquefied natural gas (LNG) import terminal were analyzed. A series of potential release scenarios were analyzed to determine the frequency of the release events, the probability these releases are not stopped or isolated by emergency shutdown systems, the estimated release quantities, and the critical components of the system. The two plant areas identified as being most significant with respect to safety are the unloading system and the storage system. Rupture of the main transfer line and gross failure of the storage tanks are the two release scenarios of primary safety interest. Reducing the rate of failure by improved design, better maintenance and testing, or adding redundancy of the critical system components for these plant areas and release scenarios will result in improved safety. Several design alternatives which have the potential to significantly reduce the probability of a large release of LNG occurring at an import terminal are identified. These design alternatives would reduce the probability of a large release of LNG by reducing the expected number of failures which could cause a release or by reducing the magnitude of releases that do occur. All of these alternatives are technically feasible and have been used or considered for use in at least one LNG facility. A more rigorous analysis of the absolute risk of LNG import terminal operation is necessary before the benefits of these design alternatives can be determined. In addition, an economic evaluation of these alternatives must be made so the costs and benefits can be compared. It is concludd that for remotely located facilities many of these alternatives are probably not justified; however, for facilities located in highly populated areas, these alternatives deserve serious consideration.

  13. Systems analysis for the development of small resource recovery systems: system performance data. Final report

    SciTech Connect (OSTI)

    Crnkovich, P G; Helmstetter, A J

    1980-10-01

    The technologies that should be developed to make small-scale solid waste processing facilities attractive and viable for small municipalities with solid waste between 50 and 250 tons per day are identified. The resource recovery systems investigated were divided into three categories: thermal processng, mechanical separation, and biological processing. Thermal processing systems investigated are: excess-air incineration; starved-air incineration/gasification; and pyrolysis (indirect heating). Mechanical processing systems investigated are: coarse refuse derived fuel; materials separation; dust refuse derived fuel; densified refuse derived fuel; and fine refuse derived fuel. Mechanical processing components investigated include: receiving module; primary size reduction module; combustible separation module; refuse derived fuel preparation module; fuel densification; fuel storage module; ferrous separation; and building and facilities. Pretreatment processes and principle methods of bioconversion of MSW dealing with biological processing are investigated. (MCW)

  14. Dairy Analytics and Nutrient Analysis (DANA) Prototype System User Manual

    SciTech Connect (OSTI)

    Sam Alessi; Dennis Keiser

    2012-10-01

    This document is a user manual for the Dairy Analytics and Nutrient Analysis (DANA) model. DANA provides an analysis of dairy anaerobic digestion technology and allows users to calculate biogas production, co-product valuation, capital costs, expenses, revenue and financial metrics, for user customizable scenarios, dairy and digester types. The model provides results for three anaerobic digester types; Covered Lagoons, Modified Plug Flow, and Complete Mix, and three main energy production technologies; electricity generation, renewable natural gas generation, and compressed natural gas generation. Additional options include different dairy types, bedding types, backend treatment type as well as numerous production, and economic parameters. DANA’s goal is to extend the National Market Value of Anaerobic Digester Products analysis (informa economics, 2012; Innovation Center, 2011) to include a greater and more flexible set of regional digester scenarios and to provide a modular framework for creation of a tool to support farmer and investor needs. Users can set up scenarios from combinations of existing parameters or add new parameters, run the model and view a variety of reports, charts and tables that are automatically produced and delivered over the web interface. DANA is based in the INL’s analysis architecture entitled Generalized Environment for Modeling Systems (GEMS) , which offers extensive collaboration, analysis, and integration opportunities and greatly speeds the ability construct highly scalable web delivered user-oriented decision tools. DANA’s approach uses server-based data processing and web-based user interfaces, rather a client-based spreadsheet approach. This offers a number of benefits over the client-based approach. Server processing and storage can scale up to handle a very large number of scenarios, so that analysis of county, even field level, across the whole U.S., can be performed. Server based databases allow dairy and digester

  15. Drift-scale thermomechanical analysis for the retrievability systems study

    SciTech Connect (OSTI)

    Tsai, F.C.

    1996-04-01

    A numerical method was used to estimate the stability of potential emplacement drifts without considering a ground support system as a part of the Thermal Loading Systems Study for the Yucca Mountain Site Characterization Project. The stability of the drift is evaluated with two variables: the level of thermal loading and the diameter of the emplacement drift. The analyses include the thermomechanical effects generated by the excavation of the drift, subsequently by the thermal loads from heat-emitting waste packages, and finally by the thermal reduction resulting from rapid cooling ventilation required for the waste retrieval if required. The Discontinuous Deformation Analysis (DDA) code was used to analyze the thermomechanical response of the rock mass of multiple blocks separated by joints. The result of this stability analysis is used to discuss the geomechanical considerations for the advanced conceptual design (ACD) with respect to retrievability. In particular, based on the rock mass strength of the host rock described in the current version of the Reference Information Base, the computed thermal stresses, generated by 111 MTU/acre thermal loads in the near field at 100 years after waste emplacement, is beyond the criterion for the rock mass strength used to predict the stability of the rock mass surrounding the emplacement drift.

  16. Wind energy conversion system analysis model (WECSAM) computer program documentation

    SciTech Connect (OSTI)

    Downey, W T; Hendrick, P L

    1982-07-01

    Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation. Thus, any user-supplied data for WECS performance, application load, utility rates, or wind resource may be entered into the scratch file to override the default data-base value. After the model and the inputs required from the user and derived from the data base are described, the model output and the various output options that can be exercised by the user are detailed. The general operation is set forth and suggestions are made for efficient modes of operation. Sample listings of various input, output, and data-base files are appended. (LEW)

  17. Power Systems Life Cycle Analysis Tool (Power L-CAT).

    SciTech Connect (OSTI)

    Andruski, Joel; Drennen, Thomas E.

    2011-01-01

    The Power Systems L-CAT is a high-level dynamic model that calculates levelized production costs and tracks environmental performance for a range of electricity generation technologies: natural gas combined cycle (using either imported (LNGCC) or domestic natural gas (NGCC)), integrated gasification combined cycle (IGCC), supercritical pulverized coal (SCPC), existing pulverized coal (EXPC), nuclear, and wind. All of the fossil fuel technologies also include an option for including carbon capture and sequestration technologies (CCS). The model allows for quick sensitivity analysis on key technical and financial assumptions, such as: capital, O&M, and fuel costs; interest rates; construction time; heat rates; taxes; depreciation; and capacity factors. The fossil fuel options are based on detailed life cycle analysis reports conducted by the National Energy Technology Laboratory (NETL). For each of these technologies, NETL's detailed LCAs include consideration of five stages associated with energy production: raw material acquisition (RMA), raw material transport (RMT), energy conversion facility (ECF), product transportation and distribution (PT&D), and end user electricity consumption. The goal of the NETL studies is to compare existing and future fossil fuel technology options using a cradle-to-grave analysis. The NETL reports consider constant dollar levelized cost of delivered electricity, total plant costs, greenhouse gas emissions, criteria air pollutants, mercury (Hg) and ammonia (NH3) emissions, water withdrawal and consumption, and land use (acreage).

  18. Analysis of N-16 concentration in primary cooling system of AP1000...

    Office of Scientific and Technical Information (OSTI)

    Analysis of N-16 concentration in primary cooling system of AP1000 power reactor Citation Details In-Document Search Title: Analysis of N-16 concentration in primary cooling system ...

  19. Manufacturing Cost Analysis of 100 and 250 kW Fuel Cell Systems...

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

    Cost Analysis of 100 and 250 kW Fuel Cell Systems for Primary Power and Combined Heat and ... Manufacturing Cost Analysis of 100 and 250 kW Fuel Cell Systems for Primary Power and ...

  20. Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with...

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

    Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET Model This presentation by ...