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 thermal-hydraulics are simulated with a unique, one-dimensional (axial) multiple-bubble liquid metal boiling model. The transient fuel and cladding mechanical oehavior models are integrated with fission product production,release, and transport models. UNIQUE FEATURES: The physical models in SAS4AJSASSYS-1 are highly detailed 1umerical representations of reactor accident conditions based on extensive laboratory and test reactor results. The models are specialized to liquid metal (sodium) cooled fast reactors with oxide or metallic fuel clad with stainless steel.« less

  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. 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...

  5. 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

  6. SAS Output

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

    2. Quantity and Net Summer Capacity of Operable Environmental Equipment, 2004 - 2014 Flue Gas Desulfurization Systems Electrostatic Precipitators Baghouses Select Catalytic and ...

  7. 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

  8. 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

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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:...

  15. 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...

  16. 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.

  17. 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:...

  18. 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...

  19. 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 calculations reveal that the compressor conditions are calculated to approach surge such that the need for a surge control system for each compressor is identified. Thus, it is demonstrated that the S-CO{sub 2} cycle can operate in the initial decay heat removal mode even with autonomous reactor control. Because external power is not needed to drive the compressors, the results show that the S-CO{sub 2} cycle can be used for initial decay heat removal for a lengthy interval in time in the absence of any off-site electrical power. The turbine provides sufficient power to drive the compressors. Combined with autonomous reactor control, this represents a significant safety advantage of the S-CO{sub 2} cycle by maintaining removal of the reactor power until the core decay heat falls to levels well below those for which the passive decay heat removal system is designed. The new control strategy is an alternative to a split-shaft layout involving separate power and compressor turbines which had previously been identified as a promising approach enabling heat removal from a SFR at low power levels. The current results indicate that the split-shaft configuration does not provide any significant benefits for the S-CO{sub 2} cycle over the current single-shaft layout with shaft speed control. It has been demonstrated that when connected to the grid the single-shaft cycle can effectively follow the load over the entire range. No compressor speed variation is needed while power is delivered to the grid. When the system is disconnected from the grid, the shaft speed can be changed as effectively as it would be with the split-shaft arrangement. In the split-shaft configuration, zero generator power means disconnection of the power turbine, such that the resulting system will be almost identical to the single-shaft arrangement. Without this advantage of the split-shaft configuration, the economic benefits of the single-shaft arrangement, provided by just one turbine and lower losses at the design point, are more important to the overall cycle performance. Therefore, the single-shaft

  20. NETL: SOFC Systems Analysis

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

    Systems 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:

  1. 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.

  2. Systems Analysis Workshop Agenda

    Broader source: Energy.gov [DOE]

    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.

  3. 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 ...

  4. 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.

  5. 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....

  6. 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.

  7. 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.

  8. 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...

  9. 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

  10. Analysis, Data Systems, and Education

    Broader source: Energy.gov [DOE]

    Below are the project presentations and respective peer review results for Analysis, Data Systems, and Education.

  11. 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 Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  12. 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.

  13. 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 Projects System Analysis Success Stories Economic Impact Tools National Geothermal ...

  14. 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)

  15. Systems Analysis Workshop Discussion Summary

    Broader source: Energy.gov [DOE]

    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.

  16. Systems Analysis Workshop Welcome & Introductions

    Broader source: Energy.gov [DOE]

    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.

  17. 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

  18. 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.

  19. 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

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

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

    System Oversight Staffing Analysis - Example Safety System Oversight Staffing Analysis - Example Office spreadsheet icon SSO Alternate Staffing Analysis - Example Filled ...

  1. 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.

  2. 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,...

  3. 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.

  4. Miniaturized flow injection analysis system

    DOE Patents [OSTI]

    Folta, James A. (Livermore, CA)

    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.

  5. 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.

  6. 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).

  7. 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.

  8. Hydrogen Systems Analysis Workshop (SAW)

    Broader source: Energy.gov [DOE]

    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...

  9. CSP Systems Analysis | Department of Energy

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

    Concentrating Solar Power CSP Systems Analysis CSP Systems Analysis The SunShot Initiative funds concentrating solar power (CSP) systems research and development (R&D) within ...

  10. 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 ... and development programs and plans, technology options, and potential technical, ...

  11. 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

  12. 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.

  13. 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...

  14. 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. ...

  15. 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 ...

  16. Systems Analysis Workshop List of Attendees

    Broader source: Energy.gov [DOE]

    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.

  17. 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.

  18. 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.

  19. SAS Output

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

    Form EIA-923, "Power Plant Operations Report" and predecessor form(s) including U.S. Energy Information Administration, Form EIA-906, "Power Plant Report;" and Form ...

  20. SAS Output

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

    ... Form EIA-861, "Annual Electric Power Industry Report.", Form EIA-861S, "Annual Electric Power Industry Report (Short Form)" and Form EIA-923, "Power Plant Operations Report

  1. SAS Output

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

    2008 55,731,229 23,614,158 1,288,152 584,001 57,019,381 24,198,159 2009 50,870,451 17,517,112 1,320,144 620,872 52,190,595 18,137,984 2010 43,763,091 18,481,678 1,320,095 ...

  2. SAS Output

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

    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 26.9 2005 11,081 464 2.57 61.21 2.43 24.2 ...

  3. SAS Output

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

    22,604 17,521 4,110 272 702 2013 23,231 16,827 5,494 328 582 2014 31,531 19,652 10,689 451 739 Year 2012 January 1,933 1,495 317 28 93 February 1,544 1,245 218 18 64 March 1,629 ...

  4. 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 ...

  5. 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 ...

  6. 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

  7. SAS Output

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

    2 Stocks of Coal, Petroleum Liquids, and Petroleum Coke: Electric Power Sector, by State, 2014 and 2013 Census Division and State Coal (Thousand Tons) Petroleum Liquids (Thousand Barrels) Petroleum Coke (Thousand Tons) December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change December 2014 December 2013 Percentage Change New England 1,611 1,129 42.7% 4,989 3,613 38.1% 0 0 -- Connecticut W W W 1,498 1,141 31.3% 0 0 -- Maine 0 0 -- W W W 0 0 -- Massachusetts W 582

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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)

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. SAS Output

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

    3. Receipts of Coal 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 2,577 2,917 -12% 526 726 2,019 2,163 0 0 32 28 Connecticut 487 320 52% 0 0 487 320 0 0 0 0 Maine 85 66 30% 0 0 53 38 0 0 32 28

  1. SAS Output

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

    4. Receipts of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Thousand Barrels) 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 4,554 3,177 43% 755 421 3,748 2,730 0 0 50 25 Connecticut 1,092 594 84% 0 0 1,092 594 0 0 0 0 Maine 637 898 -29% 0

  2. 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

  3. SAS Output

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

    6. Receipts of Natural Gas Delivered for Electricity Generation by State, 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 329,008 364,201 -9.7% 1,968 1,600 321,630 348,352 0 0 5,409 14,249 Connecticut 96,817 104,666 -7.5% 0 0 96,817 104,666

  4. SAS Output

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

    7. Average Cost of Coal Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England W W W 4.27 4.21 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

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

    8. Average Cost of Petroleum Liquids Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 17.53 W W 16.96 18.60 17.64 W Connecticut W W W -- -- 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 -- --

  6. SAS Output

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

    9. Average Cost of Petroleum Coke Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England -- -- -- -- -- -- -- Connecticut -- -- -- -- -- -- -- Maine -- -- -- -- -- -- -- Massachusetts -- -- -- -- -- -- -- New Hampshire -- -- -- -- -- -- -- Rhode Island -- -- -- -- -- -- -- Vermont -- --

  7. SAS Output

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

    0. Average Cost of Natural Gas Delivered for Electricity Generation by State, 2014 and 2013 (Dollars per MMBtu) Census Division and State Electric Power Sector Electric Utilities Independent Power Producers Year 2014 Year 2013 Percentage Change Year 2014 Year 2013 Year 2014 Year 2013 New England 6.49 5.89 10% 5.65 7.29 6.50 5.88 Connecticut 6.65 6.06 9.7% -- -- 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

  8. SAS Output

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

    1. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Total (All Sectors) by State, 2014 Bituminous Subbituminous Lignite Census Division and State 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 New England 1,836 1.20 10.1 741 0.09 2.0 0 -- -- Connecticut 0

  9. SAS Output

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

    2. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Electric Utilties by State, 2014 Bituminous Subbituminous Lignite Census Division and State 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 New England 526 2.29 7.8 0 -- -- 0 -- -- Connecticut 0 -- -- 0 --

  10. SAS Output

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

    3. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Independent Power Producers by State, 2014 Bituminous Subbituminous Lignite Census Division and State 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 New England 1,278 0.72 11.1 741 0.09 2.0 0 -- --

  11. SAS Output

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

    4. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Commercial Sector by State, 2014 Bituminous Subbituminous Lignite Census Division and State 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 New England 0 -- -- 0 -- -- 0 -- -- Connecticut 0 -- -- 0 -- -- 0

  12. SAS Output

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

    5. Receipts and Quality of Coal by Rank Delivered for Electricity Generation: Industrial Sector by State, 2014 Bituminous Subbituminous Lignite Census Division and State 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 New England 32 0.94 8.4 0 -- -- 0 -- -- Connecticut 0 -- -- 0 --

  13. 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,

  14. 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

  15. 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

  16. 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

  17. 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

  18. SAS Output

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

    5. Emissions from Energy Consumption at Conventional Power Plants and Combined-Heat-and-Power Plants, by State, 2013 and 2014 (Thousand Metric Tons) Census Division and State Carbon Dioxide (CO2) Sulfur Dioxide (SO2) Nitrogen Oxides (NOx) Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 30,810 33,437 21 31 34 37 Connecticut 8,452 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

  19. 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 MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 52,663 14,272 1,966 20,997 9,263 54,629 23,535 2005 59,000 15,394 930 21,259 10,341 59,930 25,735 2006 63,076 16,006 790

  20. SAS Output

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

    2. Demand-Side Management Program Annual Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) 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 59,000 2006 21,150 28,720 13,155 50 63,076 2007 22,772 30,359 14,038 108 67,278 2008 25,396 34,634 14,766 75 74,871 2009 27,395 34,831 14,610 76 76,912 2010 32,150 37,416 17,259 89 86,914 2011 46,790

  1. SAS Output

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

    3. Demand-Side Management Program Incremental Effects by Program Category, 2004 through 2012 (Table Discontinued) Energy Efficiency Load Management Total Year Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Potential Peak Load Reduction (MW) Actual Peak Load Reduction (MW) Energy Savings (Thousand MWh) Actual Peak Load Reduction (MW) 2004 4,532 1,727 36 3,064 1,163 4,569 2,890 2005 5,879 1,705 137 2,223 1,162 6,016 2,867 2006 5,394 1,268 99 2,817 1,690

  2. SAS Output

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

    4. Demand-Side Management Program Incremental Effects by Program Category, by Sector, 2004 through 2012 (Table Discontinued) 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 2,127 2,281 986 -- 5,394 2007 3,659 2,830 1,178 13 7,680 2008 4,568 4,383 1,477 1 10,428 2009 5,030 4,959 2,918 1 12,907 2010 6,492 5,325 1,771 5 13,592 2011 9,989 8,166 3,261 6 21,421 2012 9,531

  3. SAS Output

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

    5. Demand-Side Management Program Direct and Indirect Costs, 2004 through 2012 (Thousand Dollars) (Table Discontinued) Year Energy Efficiency Load Management Direct Cost Indirect Cost Total Cost 2004 910,816 510,281 1,421,097 132,295 1,560,578 2005 1,180,576 622,287 1,802,863 127,925 1,939,115 2006 1,270,602 663,980 1,934,582 128,886 2,072,962 2007 1,677,969 700,362 2,378,331 160,326 2,604,711 2008 2,137,452 836,359 2,973,811 181,843 3,186,742 2009 2,221,480 944,261 3,165,741 394,193 3,607,076

  4. 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 11,031,419 10,478,997 3,141,213 29,894 24,681,523 2014 11,442,191 11,928,895 3,074,819 19,316 26,465,221 Incremental Annual Savings - Peak Demand Savings (MW) 2013 6,812 11,319 1,463 5 19,599 2014 3,031 2,920 564 2 6,517 Incremental Costs - Customer Incentive (thousand dollars) 2013 1,252,085 1,274,406 345,676 5 2,872,171

  5. 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 84,525,515 128,026,835 38,500,862 448,421 251,464,746 2014 100,729,499 149,493,353 39,631,016 287,925 290,141,793 Life Cycle Savings - Peak Demand Savings (MW) 2013 44,351 70,979 19,524 6 134,861 2014 17,911 46,600 12,248 2 76,760 Life Cycle Costs - Customer Incentive (thousand dollars) 2013 2,698,741 2,875,605 455,357

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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" ...

  14. 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 ...

  15. 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","Con...

  16. 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 ...

  17. 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)" ...

  18. 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,"-",12049,173...

  19. 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","Nu...

  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",...

  1. 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 ...

  2. 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","Sur...

  3. 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 ...

  4. 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" ...

  5. SAS Output

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

    9. Average Sales Price of Coal by State and Underground Mining Method, 2014" "(dollars per short ton)" "Coal-Producing State","Continuous1","Conventional and","Longwall3","Total" ...

  6. 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" ...

  7. 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 ...

  8. 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","Un...

  9. SAS Output

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

    2. Average Sales Price of Coal by Mine Production Range and Mine Type, 2014" "(dollars per short ton)" "Mine Production Range (thousand short tons)","Underground","Surface","Total" ...

  10. 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...

  11. 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 ...

  12. SAS Output

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

    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) ...

  13. SAS Output

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

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

  14. SAS Output

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

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

  15. SAS Output

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

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

  16. SAS Output

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

    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) ...

  17. SAS Output

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

    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 ...

  18. SAS Output

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

    " Franklin",1,9098,"-","-",1,9098 " Gallatin","-","-",1,1919,1,1919 " Hamilton",1,1737,"-","-",1,1737 " Jackson","-","-",1,15,1,15 " Macoupin",1,1634,"-","-",1,1634 ...

  19. SAS Output

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

    "Illinois",22,55842,47.11 " Franklin",1,"w","w" " Gallatin",1,"w","w" " Hamilton",1,"w","w" " Jackson",1,"w","w" " Macoupin",1,"w","w" " Montgomery",1,"w","w" " ...

  20. SAS Output

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

    289 12,454.6 5,169.1 1970-1974 338 17,648.0 6,483.6 1975-1979 93 10,147.5 2,252.6 1980-1984 48 1,019.5 216.3 1985-1989 90 2,781.9 391.0 1990-1994 219 12,124.9 1,584.9 1995-1999 ...

  1. SAS Output

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

    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 ... 6.89 10.55 10.07 2014 12.52 10.74 7.10 10.45 10.44 Year 2012 January 11.41 9.84 6.44 ...

  2. SAS Output

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

    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 ...

  3. SAS Output

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

    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 ... 6.89 10.55 10.07 2014 12.52 10.74 7.10 10.45 10.44 Full-Service Providers 2004 8.91 8.02 ...

  4. SAS Output

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

    ...,22454,3861,82165,21532,281.6 " Honolulu, HI",179816,180315,179281,716657,725127,-1.2 " Los Angeles, CA",61,"-",2622,221,9435,-97.7 " San Francisco, CA","-","-","-",131,109,20.2 " ...

  5. 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 ...

  6. 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 ...

  7. 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 ...

  8. 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 ...

  9. 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 ...

  10. SAS Output

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

    6. Net Generation by Energy Source: Residential Sector, 2014 ... Distributed Generation Period Estimated Distributed Solar ... WWithheld to avoid disclosure of individual company data. ...

  11. SAS Output

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

    Generation Estimated Total Solar Generation Annual Totals 2004 0 0 0 ... WWithheld to avoid disclosure of individual company data. Sources: U.S. Energy Information ...

  12. SAS Output

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

    1,118 4,978 5,113 0 0 All Energy Sources Utility Scale ... 0 0 Estimated Distributed Solar Photovoltaic Distributed ... W Withheld to avoid disclosure of individual company data. ...

  13. SAS Output

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

    ... Plants Report; and Federal Energy Regulatory Commission, FERC ... generation and distributed solar photovoltaic capacity are based on data from Form EIA-826, Form EIA-861 ...

  14. SAS Output

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

    A. Net Generation by Energy Source: Total (All Sectors), ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  15. SAS Output

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

    3.A. Net Generation by Energy Source: Independent Power ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  16. SAS Output

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

    A. Net Generation by Energy Source: Commercial Sector, 2004 ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  17. SAS Output

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

    A. Net Generation by Energy Source: Electric Utilities, 2004 ... Hydroelectric Conventional Solar Renewable Sources Excluding ... Notes: Beginning with 2001 data, non-biogenic municipal ...

  18. SAS Output

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

    10,364.7 2 3.1 96 10,361.6 Solar Thermal and Photovoltaic ... -- -- -- -- -- -- Other Energy Sources 9 109.6 2 1.0 7 ... Notes: These data reflect plans as of December 31, 2014 Coal ...

  19. SAS Output

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

    ... 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 not equal sum of ...

  20. SAS Output

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

    changes in the sample design of Form EIA-923 and the imputation process. - See the EIA-923 section of the Technical Notes for a discussion of the sample design for the Form EIA-923 ...

  1. SAS Output

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

    Inc","AL, CA, CO, FL, GA, KY, OH, TN, TX" "Dakota Gasification Company","ND" "Eastman Chemical Company","TN" "Georgia-Pacific Consumer Products LP","AL, GA, OK, VA, WI" "Holcim ...

  2. 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...

  3. 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

  4. 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

  5. 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"

  6. 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"

  7. 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

  8. 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

  9. SAS Output

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

    4. Average Price of Coal Delivered to End Use Sector by Census Division and State, 2014 and 2013" "(dollars per short ton)" ,2014,,,,2013,,,,"Annual Percent Change" "Census Division","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial","Electric","Other","Coke","Commercial" "and

  10. 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

  11. 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

  12. SAS Output

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

    2. Summary Statistics for the United States, 2004 - 2014 (From Table 2.1.) Number of Ultimate Customers Year Residential Commercial Industrial Transportation Other Total 2004 118,763,768 16,606,783 747,600 1,025 N/A 136,119,176 2005 120,760,839 16,871,940 733,862 518 N/A 138,367,159 2006 122,471,071 17,172,499 759,604 791 N/A 140,403,965 2007 123,949,916 17,377,219 793,767 750 N/A 142,121,652 2008 125,037,837 17,582,382 774,808 726 N/A 143,395,753 2009 125,208,829 17,562,235 757,537 704 N/A

  13. 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

  14. 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

  15. 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

  16. 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

  17. SAS Output

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

    8. Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Thousand Megawatthours) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 47,212 48,369 53,107 44,938 19,107 27,472 557 577 119,983 121,357 Connecticut 12,778 13,135 12,894 13,009 3,515 3,490 169 190 29,354 29,825 Maine 4,661 4,662 3,985 4,016 3,357 3,177 0 0

  18. SAS Output

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

    9. Revenue from Sales of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Million Dollars) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 8,414 7,846 7,806 6,277 2,263 3,365 58 70 18,541 17,558 Connecticut 2,523 2,306 2,005 1,904 454 440 22 20 5,004 4,669 Maine 712 669 506 471 300 265 0 0 1,518 1,406 Massachusetts

  19. SAS Output

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

    0. Average Price of Electricity to Ultimate Customers by End-Use Sector, by State, 2014 and 2013 (Cents per Kilowatthour) Residential Commercial Industrial Transportation All Sectors Census Division and State Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 Year 2014 Year 2013 New England 17.82 16.22 14.70 13.97 11.84 12.25 10.38 12.15 15.45 14.47 Connecticut 19.75 17.55 15.55 14.63 12.92 12.61 13.08 10.31 17.05 15.66 Maine 15.27 14.35 12.70 11.74 8.95 8.34 -- --

  20. 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

  1. 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

  2. SAS Output

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

    4. Green Pricing Customers by End Use Sector, 2005 through 2012 (Table Discontinued) Year Residential Commercial Industrial Transportation Total 2005 871,774 70,303 695 -- 942,772 2006 606,919 35,414 522 1 642,856 2007 773,391 61,608 553 99 835,651 2008 918,284 63,521 987 203 982,995 2009 1,058,185 64,139 1,454 -- 1,123,778 2010 1,137,047 78,128 1,407 -- 1,216,582 2011 1,187,867 89,677 1,440 -- 1,278,984 2012 2,162,230 102,223 1,509 -- 2,265,963 2012 was the last year this data was collected. In

  3. 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

  4. 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

  5. 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

  6. 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

  7. SAS Output

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

    9. Utility Scale Facility Net Generation from Petroleum Liquids 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. SAS Output

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

    6. Utility Scale Facility Net Generation from Hydroelectric (Pumped Storage) 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

  15. 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

  16. 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

  17. 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

  18. SAS Output

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

    0. Utility Scale Facility Net Generation from Geothermal 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

  19. SAS Output

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

    1. Utility Scale Facility Net Generation from Solar Photovoltaic 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

  20. SAS Output

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

    2. Utility Scale Facility Net Generation from Solar Thermal 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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%

  11. SAS Output

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

    B. Capacity Factors for Utility Scale Generators Not Primarily Using Fossil Fuels, January 2013-December 2014 Period Nuclear Conventional Hydropower Wind Solar Photovoltaic Solar Thermal Landfill Gas and Muncipal Solid Waste Other Biomass Including Wood Geothermal Annual Factors 2013 89.9% 38.9% 32.4% NA NA 68.9% 56.7% 73.6% 2014 91.7% 37.3% 34.0% 25.9% 19.8% 68.9% 58.9% 74.0% Year 2013 January 93.9% 42.3% 33.5% NA NA 66.0% 56.5% 76.9% February 90.3% 38.3% 35.4% NA NA 65.2% 56.0% 76.1% March

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. SAS Output

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

    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 Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 20,940,247 15,610,335 4,694,565 42,789 592,559 2005 21,350,382 15,397,688 5,339,188 42,931 570,574 2006 21,059,972 15,211,077 5,250,336 41,612 556,948 2007 21,363,588 15,436,110 5,371,039 42,523 513,916 2008 21,051,706 15,189,050

  1. 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

  2. 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

  3. SAS Output

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

    F. Petroleum Liquids: Consumption for Electricity Generation and 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 1,156,763 651,712 358,685 11,763 134,603 2005 1,160,733 618,811 395,489 9,614 136,820 2006 546,529 335,130 112,052 5,444 93,903 2007 595,191 355,999 147,579 4,259 87,354 2008 377,848 242,379 87,460 3,743 44,266 2009 315,420

  4. 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

  5. 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

  6. 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

  7. SAS Output

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

    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 Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 245,389 116,086 90,747 259 38,297 2005 256,441 115,727 111,098 260 29,356 2006 246,687 102,117 98,314 269 45,987 2007 208,198 77,941 81,845 348 48,064 2008 180,034 64,843 79,856 280 35,055 2009 166,449 77,919 52,428 245 35,856

  8. 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

  9. 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

  10. 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

  11. SAS Output

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

    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 Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 6,912,661 1,857,247 3,749,945 73,744 1,231,725 2005 7,220,520 2,198,098 3,837,717 69,682 1,115,023 2006 7,612,500 2,546,169 3,847,644 69,401 1,149,286 2007 8,181,986 2,808,500 4,219,827 71,560 1,082,099 2008 7,900,986 2,803,283

  12. 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

  13. 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

  14. SAS Output

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

    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 sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 1,360,258 19,973 145,216 1,661 1,193,408 2005 1,352,582 27,373 157,600 1,235 1,166,373 2006 1,399,235 27,455 154,360 1,314 1,216,106 2007 1,335,511 31,568 154,388 2,040 1,147,516 2008 1,262,675 29,150 148,198 1,410

  15. 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

  16. 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

  17. 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

  18. SAS Output

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

    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 Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 70,489 5,373 60,929 2,098 2,089 2005 68,897 5,650 59,144 2,571 1,532 2006 77,004 8,287 64,217 3,937 563 2007 80,697 8,620 68,657 2,875 544 2008 94,768 10,242 81,300 2,879 346 2009 100,261 9,748 87,086 3,089 337 2010 106,681

  19. 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 Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 19,587 444 17,308 1,811 24 2005 19,370 560 17,033 1,753 25 2006 19,629 500 17,343 1,761 25 2007 19,576 553 17,116 1,785 122 2008 19,805 509 17,487 1,809 0 2009 19,669 465 17,048 2,155 0 2010 19,437 402 16,802 2,233 0 2011 16,972 388

  20. 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 Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 2,743 0 651 1,628 464 2005 2,719 0 623 1,536 560 2006 2,840 0 725 1,595 520 2007 2,219 0 768 1,136 315 2008 2,328 0 806 1,514 8 2009 2,426 0 823 1,466 137 2010 2,287 0 819 1,316 152 2011 2,044 0 742 1,148 154 2012 1,986 0 522 1,273 190

  1. 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

  2. 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

  3. SAS Output

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

    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 sectors) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 161,567 3,705 129,562 25,204 3,096 2005 164,635 4,724 131,080 24,914 3,918 2006 168,716 4,078 135,127 25,618 3,893 2007 162,482 4,557 133,509 21,393 3,022 2008 166,723 4,476 136,080 26,108 59 2009 165,755 3,989

  4. 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

  5. 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

  6. SAS Output

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

    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) Electric Utilities Independent Power Producers Commercial Sector Industrial Sector Annual Totals 2004 49,443 2,014 21,294 6,935 19,201 2005 55,862 2,485 17,640 6,763 28,974 2006 54,693 2,611 16,348 6,755 28,980 2007 60,840 2,992 19,155 6,692 32,001 2008 66,139 3,409 22,419 5,227 35,085 2009 66,658 3,679 23,586 5,398

  7. SAS Output

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

    9. Consumption of Coal 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 2,310 2,773 -17% 544 616 1,753 2,144 0 0 13 13 Connecticut 499 419 19% 0 0 499 419 0 0 0 0 Maine 19 15 27% 0 0 10 7 0 0 9 8

  8. SAS Output

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

    0. Consumption of Petroleum Liquids for Electricity Generation by State, by Sector,. 2014 and 2013 (Thousand Barrels) 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 3,673 2,017 82% 509 308 2,976 1,584 138 90 51 35 Connecticut 908 555 64% 17 11 871 535 15 6 6 2 Maine 526 461

  9. 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

  10. 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

  11. SAS Output

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

    3. Consumption of Landfill 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 12,064 8,911 35% 0 0 11,388 8,201 676 711 0 0 Connecticut 531 549 -3.4% 0 0 531 549 0 0 0 0 Maine 860 829 3.8% 0

  12. SAS Output

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

    4. Consumption of Biogenic Municipal Solid Waste 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 3,947 3,913 0.9% 0 0 3,670 3,630 277 283 0 0 Connecticut 1,439 1,416 1.6% 0 0 1,362 1,330 77 86 0 0

  13. SAS Output

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

    ...4346,7250,132284,-94.5 "Southern Total",1590130,2345566,3254385,9855110,13781369,-28.5 " El Paso, TX","-","-","-",12,44,-72.7 " Houston-Galveston, TX","-","-",232716,9,844183,-100 ...

  14. SAS Output

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

    ...,5075809,5756160,20730482,25652035,-19.2 " Charleston, SC",124,148,1030,563,2223,-74.7 " El Paso, TX",25988,44883,167,122874,7552,"NM" " Houston-Galveston, TX",113426,232428,457862...

  15. 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...

  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

    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...

  19. 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...

  20. 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 ...

  1. SAS Output

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

    . Count of Electric Power Industry Power Plants, by Sector, by Predominant Energy Sources ... Producers, Non-Combined Heat and Power Plants 2004 100 173 355 1 29 457 478 5 2 2005 ...

  2. SAS Output

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

    ... tons of coal are exact for the time periods specified." "s Value is less than 0.5 of the table metric, but value is included in any associated totals." "NM Not meaningful due ...

  3. 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 --...

  4. SAS Output

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

    . U.S. Coal Production, 2009 - 2015" "(thousand short tons)" "Year","January - March","April - June","July - September","October - December","Total" 2009,282772,263017,269339,25979...

  5. SAS Output

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

    . Coal Production by State" "(thousand short tons)" ,,,,"Year to Date" "Coal-Producing Region","October - December","July - September","October - December",2015,2014,"Percent" "and ...

  6. SAS Output

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

    Australia","-",60657,75,60994,532,"NM" "Africa Total",50764,"-","-",50773,23,"NM" " South Africa",50764,"-","-",50773,23,"NM" "Total",2704722,2964514,2173992,11318011,11349926,-0.3 ...

  7. SAS Output

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

    ...*",355.59,643.59,550.76,597.94,546.6,9.4 "South America Total","-",135.27,919.64,252.87,17...364.35,295.78,171.67,426.16,175.32,143.1 "Africa Total","-","-",465.66,93.56,92.29,1.4 " ...

  8. SAS Output

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

    ...","-",60.06,295.84,60.25,117.4,-48.7 "Africa Total",85.96,"-","-",86,341.78,-74.8 " South Africa",85.96,"-","-",86,341.78,-74.8 "U.S. Total*",70.48,71.85,85.48,71.61,80.96,-11.5 "* ...

  9. SAS Output

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

    Mexico",14657,14476,31169,88930,248946,-64.3 " Other**",167,346,366,1115,1574,-29.2 "South ... " Other**",63,63,24,128,94,36.2 "Africa Total","-","-",77,27496,27792,-1.1 " ...

  10. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    1997 Household Characteristics RSE Column Factor: Total Four Most Populated States RSE Row Factors New York California Texas Florida 0.4 1.1 1.2 1.4 1.4 Total .............................................................. 101.5 6.8 11.5 7.0 5.9 NF 1997 Household Income Category Less than $5,000 ......................................... 3.8 0.3 0.3 0.3 0.1 16.2 $5,000 to $9,999 ......................................... 9.6 0.9 1.1 0.6 0.7 14.2 $10,000 to $14,999

  11. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    7.A. Net Energy for Load by North American Electric Reliability Corporation Assessment Area, 2004 - 2014, Actual Net Energy (Thousands of Megawatthours) Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region ECAR MAAC MAIN MAPP MISO MRO PJM RFC SERC SPP TRE WECC Contiguous U.S. 2004 220,335 292,725 2,313,180 553,236 283,646 274,760 -- -- 152,975 -- -- 856,734 191,829 289,146 682,053 3,797,439 2005 226,544 303,607 2,385,461 -- -- --

  12. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    9.A. Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Assessment Area, 2004 - 2014, Actual Net Internal Demand (Megawatts) -- Winter Eastern Interconnection ERCOT Western Interconnection All Interconnections Period FRCC NPCC Balance of Eastern Region ECAR MAAC MAIN MAPP MISO MRO PJM RFC SERC SPP TRE WECC Contiguous U.S. 2004 / 2005 41,449 47,859 371,011 91,800 45,565 40,618 -- -- 24,446 -- -- 139,486 29,096 44,010 101,002 605,331 2005 /

  13. SAS Output

    Gasoline and Diesel Fuel Update (EIA)

    0.A. Existing Transmission Capacity by High-Voltage Size, 2014 Voltage Circuit Miles Type Operating (kV) frcc mro npcc rfc serc spp tre wecc Contiguous U.S. -- -- -- -- -- -- -- -- -- Voltage Circuit Counts Type Operating (kV) frcc mro npcc rfc serc spp tre wecc Contiguous U.S. -- -- -- -- -- -- -- -- -- Notes: NERC region and reliability assessment area maps are provided on EIA's Electricity Reliability web page: http://www.eia.gov/cneaf/electricity/page/eia411/eia411.html Circuit miles do not

  14. SAS Output

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

    ....89,83.94,53.54,133.39,109.51,131.25,96.78 2013,182.64,145.52,75.11,59.45,107.55,91.81,101... rounding." "Source: U.S. Department of Commerce, Bureau of the Census, 'Monthly Report ...

  15. SAS Output

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

    ....89,115.12,93.25,104.64,90.39,118.43,96.78 2013,99.68,86.87,96.77,83.18,91.64,81.66,91.46,... "Source: Exports: U.S. Department of Commerce, Bureau of the Census, 'Monthly Report ...

  16. SAS Output

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

    ...534,2329,31563,2415,28006,2394,125746,9159 2013,31835,1429,29427,2756,28589,2398,27809,232... "Source: Exports: U.S. Department of Commerce, Bureau of the Census, 'Monthly Report ...

  17. SAS Output

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

    " Poland","-","-","-","-",95.76,"-" " Portugal","-",46.7,58.11,46.7,58.11,-19.6 " Romania","-","-","-",57.08,"-","-" " Slovakia","-","-","-","-",1971.43,"-" " ...

  18. SAS Output

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

    ...and",116569,44092,69342,565403,661632,-14.5 " Portugal","-","-",82840,"-",82840,"-" " Romania",22912,79319,160396,252657,407715,-38 " Slovakia",73304,"-","-",231503,500451,-53.7 " ...

  19. SAS Output

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

    " Poland","-","-","-","-",58083,"-" " Portugal","-",138480,138460,138480,138460,"s" " Romania","-","-","-",19073,"-","-" " Slovakia","-","-","-","-",28,"-" " Spain",926,832,168506,...

  20. SAS Output

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

    ...9,44092,69342,565403,719715,-21.4 " Portugal","-",138480,221300,138480,221300,-37.4 " Romania",22912,79319,160396,271730,407715,-33.4 " Slovakia",73304,"-","-",231503,500479,-53.7 ...

  1. SAS Output

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

    Poland",78.4,85.73,94.44,95.89,112.1,-14.5 " Portugal","-","-",69.17,"-",69.17,"-" " Romania",71.59,74.22,97.34,100.62,107.59,-6.5 " Slovakia",106.14,"-","-",106.22,110.81,-4.1 " ...

  2. SAS Output

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

    ...land",78.4,85.73,94.44,95.89,110.79,-13.4 " Portugal","-",46.7,62.25,46.7,62.25,-25 " Romania",71.59,74.22,97.34,97.56,107.59,-9.3 " Slovakia",106.14,"-","-",106.22,110.91,-4.2 " ...

  3. SAS Output

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

    " United Kingdom",13,"-",1,19,5,280 "Asia Total",326,1256,372,3318,2263,46.6 " Indonesia",22,65,43,159,164,-3 " Japan",304,1191,329,3159,2099,50.5 "U.S. Total",53597,73734,24...

  4. SAS Output

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

    ...,"-",3804,1989.11,1380.8,44.1 "Asia Total",357.17,349.12,374.14,347.08,349.36,-0.7 " Indonesia",899.5,926.34,802.05,930.28,753.54,23.5 " Japan",317.92,317.61,318.21,317.73,317.78,"...

  5. 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...

  6. 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...

  7. SAS Output

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

    ... Other Energy Sources include batteries, hydrogen, purchased steam, sulfur, tire-derived fuels and other miscellaneous energy sources. In 2011, EIA corrected the NAICS codes of ...

  8. 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 --...

  9. 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...

  10. SAS Output

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

    ... Excludes mines producing less than 25,000 short tons, which are not required to provide data and refuse recovery." "Source: U.S. Energy Information Administration Form EIA-7A, ...

  11. SAS Output

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

    data, and refuse recovery." "- No data reported." "Note: Totals may not equal sum of components because of independent rounding." "Source: U.S. Energy Information ...

  12. SAS Output

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

    Average recovery percentage represents the percentage of coal that can be recovered from ... reported geographic area." "Source: U.S. Energy Information Administration Form EIA-7A, ...

  13. SAS Output

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

    Excluding refuse recovery and mines producing less than 25,000 short tons, which are not ... of independent rounding." "Source: U.S. Energy Information Administration Form EIA-7A, ...

  14. 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...

  15. 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....

  16. 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...

  17. Systems-Level Analysis & Bioenergy Market Assessment

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

    Quad Chart Overview Timeline * Systems Analysis: Ongoing Since 2004 * Market Report o Start: October 2013 o Market Report Finish: September 2017 o 2013 Market Report: 95% ...

  18. NREL: Transportation Research - Systems Analysis and Integration

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

    wireless power transfer for on-road electric vehicles, as depicted in the e-roadway animation. NREL's systems analysis and integration work supports a wide range of...

  19. 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...

  20. 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

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

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Failure analysis issues in microelectromechanical systems (MEMS). Citation Details In-Document Search Title: Failure analysis issues in microelectromechanical systems (MEMS). 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

  2. 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.

  3. 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.

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

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

    Electric Infrastructure Systems Technology Analysis NREL's energy analysis supports distribution and interconnection R&D, which is responsible for distributed resources' system integration. Industrial Distributed Energy Information Resources This link takes you to a directory of white papers and general documents and publications produced by or in conjunction with the EERE Advanced Manufacturing Office's Industrial Distributed Energy activities. Program-specific publications Among these

  5. NREL: Energy Analysis - Technology Systems and Sustainability Analysis

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

    Staff Technology Systems and Sustainability Analysis The following includes summary bios of staff expertise and interests in analysis related to infrastructure and systems; sustainability assessment; technoeconomic assessment; and water requirements. Team Lead: Margaret Mann Administrative Support: Catherine Burke Sertac Akar Chad Augustine Alberta Carpenter Ran Fu Maureen Hand Rebecca Hanes Garvin Heath Kelsey Horowitz Daniel Inman Scott Jenne Parthiv Kurup Eric Lantz Aaron Levine Ahmad

  6. 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.

  7. 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

  8. Introduction to Microelectromechanical Systems (MEMS) failure analysis.

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Introduction to Microelectromechanical Systems (MEMS) failure analysis. Citation Details In-Document Search Title: Introduction to Microelectromechanical Systems (MEMS) failure analysis. No abstract prepared. Authors: Walraven, Jeremy Allen Publication Date: 2010-08-01 OSTI Identifier: 1024452 Report Number(s): SAND2010-5841C TRN: US201119%%385 DOE Contract Number: AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: Proposed for presentation

  9. CSP Systems Analysis | Department of Energy

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

    Systems Analysis CSP Systems Analysis Parabolic Trough Collectors Parabolic Trough Collectors Parabolic trough collectors concentrate the sun's energy on an oil- filled tube running along the focal line of the parabolically shaped trough. Read more Linear Fresnel Reflectors Linear Fresnel Reflectors These mirrors focus sunlight to the top of the structure where molten salt is flowing. The resulting heat is stored and used when the sun is not shining. Read more Power Towers Power Towers This

  10. 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

  11. 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. PDF icon wkshpstoragelasher.pdf ...

  12. Office of Energy Policy and Systems Analysis | Department of...

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

    Office of Energy Policy and Systems Analysis Office of Energy Policy and Systems Analysis ... Latest Fact Sheets Fact Sheet: Advanced Natural Gas Systems Manufacturing R&D Initiative ...

  13. Vulnerability Analysis of Energy Delivery Control Systems (September...

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

    Systems (September 2011) Vulnerability Analysis of Energy Delivery Control Systems (September 2011) The Vulnerability Analysis of Energy Delivery Control Systems report, prepared ...

  14. 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 diagrams, which show at a glance combined uncertainty information, section 9.2 has a new set of simpler graphs that show the impact on fuel cycle costs for once through, 1-tier, and 2-tier scenarios as a function of key input parameters.

  15. 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.

  16. Systems and methods for sample analysis

    SciTech Connect (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.

  17. 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.

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

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

    Security Administration SARA Cadets and Midshipmen Hit the Ground Running As the U.S. military grows in technological sophistication, it is fitting that some of its future leaders are getting a four-to-six-week full-immersion experience at Los Alamos National Laboratory. This summer, through the Service Academies Research Associates (SARA) Program, the Laboratory hosted 17 cadets and midshipmen from the military academies at West Point, Annapolis, and Colorado Springs. LANL offers these

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. Analysis of the Space Propulsion System Problem Using RAVEN ...

    Office of Scientific and Technical Information (OSTI)

    Analysis of the Space Propulsion System Problem Using RAVEN Citation Details In-Document Search Title: Analysis of the Space Propulsion System Problem Using RAVEN You are ...

  5. Distributed Resource Energy Analysis and Management System (DREAMS...

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

    Distributed Resource Energy Analysis and Management System (DREAMS) Development for Real-time Grid Operations Distributed Resource Energy Analysis and Management System (DREAMS) ...

  6. 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 ...

  7. 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...

  8. MEMS-based chemical analysis systems development at Sandia National...

    Office of Scientific and Technical Information (OSTI)

    MEMS-based chemical analysis systems development at Sandia National Labs. Citation Details In-Document Search Title: MEMS-based chemical analysis systems development at Sandia ...

  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. Ground Source Heat Pump System Data Analysis | Department of...

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

    Ground Source Heat Pump System Data Analysis Ground Source Heat Pump System Data Analysis Emerging Technologies Project for the 2013 Building Technologies Office's Program Peer ...

  11. 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.

  12. 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.

  13. 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 ...

  14. 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.

  15. 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.

  16. 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

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. Vulnerability Analysis of Energy Delivery Control Systems

    Energy Savers [EERE]

    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

  6. 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.

  7. 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 ...

  8. 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

  9. Hydrogen 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 Technical Assessment of Organic Liquid Carrier Hydrogen Storage Systems for Automotive Applications Hydrogen ...

  10. 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.

  11. 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 ...

  12. 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 ...

  13. Automated Transportation Logistics and Analysis System (ATLAS) | Department

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

    of Energy Services » Waste Management » Packaging and Transportation » Automated Transportation Logistics and Analysis System (ATLAS) Automated Transportation Logistics and Analysis System (ATLAS) 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 and outbound freight shipments by highway, rail, and air. PDF icon Automated Transportation Logistics and Analysis

  14. 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. PDF icon Onboard Type IV Compressed Hydrogen Storage System Cost Analysis Webinar Slides More Documents &

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

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

    and Testing | Department of Energy 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 activity

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

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

    Energy 1: 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

  17. 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.

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

    Energy Savers [EERE]

    Resolved Energy and Environment Tool (STREET) Model PDF icon UC Davis Models: Geospatial Station Network Design Tool and Hydrogen Infrastructure Rollout Economic Analysis ...

  19. 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.

  20. 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

  1. 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

  2. Systems Analysis | netl.doe.gov

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

    Carbon Capture Reports Options for Improving the Efficiency of Existing Coal Fired Power Plants This analysis evaluates options for improving the efficiency of existing subcritical ...

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

    Office of Scientific and Technical Information (OSTI)

    Resource Type: Conference Resource Relation: Conference: Proposed for presentation at the European Symposium Reliability of Electron Devices Failure Physics and Analysis (ESREF) ...

  4. 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...

  5. Hydrogen Storage Systems Analysis Working Group Meeting: Summary Report

    Broader source: Energy.gov [DOE]

    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.

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

    Office of Scientific and Technical Information (OSTI)

    Title: A posteriori error analysis of parameterized linear systems using spectral methods. Abstract not provided. Authors: Constantine, Paul ; Butler, Troy Publication Date: ...

  7. 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.

  8. 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:...

  9. 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 ...

  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...

  11. Community Energy: Analysis of Hydrogen Distributed Energy Systems...

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

    Community Energy: Analysis of Hydrogen Distributed Energy Systems with Photovoltaics for Load Leveling and Vehicle Refueling D. Steward National Renewable Energy Laboratory J. ...

  12. 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 ...

  13. 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...

  14. 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.

  15. Vulnerability Analysis of Energy Delivery Control Systems - 2011...

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

    Vulnerability Analysis of Energy Delivery Control Systems - 2011 Cybersecurity for energy ... (DOEOE) National Supervisory Control and Data Acquisition (SCADA) Test Bed ...

  16. Automated Transportation Logistics and Analysis System (ATLAS)

    Energy Savers [EERE]

    Department of Energy Automated Office Systems Support (AOSS) Quality Assurance Model Automated Office Systems Support (AOSS) Quality Assurance Model A quality assurance model, including checklists, for activity relative to network and desktop computer support. PDF icon Automated Office Systems Support (AOSS) Quality Assurance Model More Documents & Publications Audit Report: CR-B-97-04 CITSS Project Plan Quality Assurance Checklist Insulated Cladding Systems | Department of Energy

  17. 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...

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

    Broader source: Energy.gov [DOE]

    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.

  19. 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.

  20. Analysis of Hybrid Hydrogen Systems: Final Report

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

    Heat Rate Improvement Potential at Coal- Fired Power Plants May 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Analysis of Heat Rate Improvement Potential at Coal-Fired Power Plants i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

  1. Vulnerability Analysis of Energy Delivery Control Systems

    Energy Savers [EERE]

    ... products alike, and the introduction of Web applications into SCADA systems has created ... vulnerabilities Most likely attack vector Web Human-Machine Interface (HMI) ...

  2. 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.

  3. 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.

  4. Analysis of the Space Propulsion System Problem Using RAVEN (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Analysis of the Space Propulsion System Problem Using RAVEN Citation Details In-Document Search Title: Analysis of the Space Propulsion System Problem Using RAVEN 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

  5. Safety System Oversight Staffing Analysis (Instructions, Blank Sheet and

    Energy Savers [EERE]

    Example Sheet) | Department of Energy Safety System Oversight Staffing Analysis (Instructions, Blank Sheet and Example Sheet) Safety System Oversight Staffing Analysis (Instructions, Blank Sheet and Example Sheet) This Staffing Analysis calculation is completed using an Excel worksheet. Information locations are identified by titles in column or row headings and worksheet locations based on the unmodified blank worksheet. Use caution when making worksheet modifications since changes to the

  6. 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.

  7. 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.

  8. 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.

  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 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

  10. Distributed Resource Energy Analysis and Management System (DREAMS)

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

    Development for Real-time Grid Operations | Department of Energy Distributed Resource Energy Analysis and Management System (DREAMS) Development for Real-time Grid Operations Distributed Resource Energy Analysis and Management System (DREAMS) Development for Real-time Grid Operations Hawaiian Electric Co logo.jpg Hawaii has two different Energy Management Systems (EMS) on the islands of Oahu and Maui, and already has very high solar penetration. This project will design new capabilities for

  11. 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. PDF icon Energy Modeling 101 More Documents & Publications THE VALUE OF ECONOMIC DISPATCH A REPORT TO

  12. 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.

  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. 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.

  18. 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.

  19. Webinar: Automotive and MHE Fuel Cell System Cost Analysis |...

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

    ... costs, they list 33,000 for a system in a class one or two material handling application. ... So if we change our assumptions to match closer to what DTI had in their analysis, ...

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

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

    SASSI is the System for Analysis of Soil-Structure Interaction, a computer code for ... pedigree of the code and its verification and validation history was not fully traceable. ...

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

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

    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 ...

  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. 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.

  4. 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.

  5. 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

  6. Enhanced Accident Tolerant Fuels for LWRS - A Preliminary Systems Analysis

    Office of Scientific and Technical Information (OSTI)

    (Technical Report) | SciTech Connect Enhanced Accident Tolerant Fuels for LWRS - A Preliminary Systems Analysis Citation Details In-Document Search Title: Enhanced Accident Tolerant Fuels for LWRS - A Preliminary Systems Analysis 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

  7. A posteriori error analysis of parameterized linear systems using spectral

    Office of Scientific and Technical Information (OSTI)

    methods. (Journal Article) | SciTech Connect Journal Article: A posteriori error analysis of parameterized linear systems using spectral methods. Citation Details In-Document Search Title: A posteriori error analysis of parameterized linear systems using spectral methods. Abstract not provided. Authors: Constantine, Paul ; Butler, Troy Publication Date: 2011-07-01 OSTI Identifier: 1106467 Report Number(s): SAND2011-4711J 463817 DOE Contract Number: AC04-94AL85000 Resource Type: Journal

  8. 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

  9. 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).

  10. 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.

  11. 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.

  12. 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.

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

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

    Page1 Hierarchy of Various Models Used for Hydrogen and Fuel Cell Analyses Analysis Models and Tools Systems Analysis of Hydrogen & Fuel Cells With a multitude of end-uses-such as distributed power for back-up, primary, and combined heat-and- power systems; automobiles, buses, forklifts and other specialty vehicles; and auxiliary power units and portable electronics-fuel cell applications hold potential to dramatically impact the 21st century clean energy economy. Fuel cells can efficiently

  15. 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 successful research to understand and improve the cost of wind generation technology. As a research laboratory, NREL is a neutral, third party and can provide an unbiased perspective of methodologies and approaches used to estimate direct and indirect economic impacts of offshore wind. Market Analysis NREL's extensive research

  16. 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.

  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.

    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.

  20. 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.

  1. 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.

  2. 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.

  3. 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).

  4. 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).

  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. 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.

  12. 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.

  13. Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis |

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

    Department of Energy 11 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon vss041_daw_2011_o.pdf More Documents & Publications PHEV Engine and Aftertreatment Model Development PHEV Engine and Aftertreatment Model Development Advanced LD Engine Systems and Emissions Control Modeling and 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 systems approved for use in the nuclear power industry by the NRC. (3) Identify and discuss key design issues, features, benefits, and limitations of these NRC approved digital control systems that can be applied as design guidance and correlated to the Monitored Geologic Repository (MGR) design requirements. (4) Identify codes and standards used in the design of these NRC approved digital control systems and discuss their possible applicability to the design of a subsurface nuclear waste repository. (5) Evaluate the NRC approved digital control system's safety, reliability and maintainability features and issues. Apply these to MGR design methodologies and requirements. (6) Provide recommendations for use in developing design criteria in the System Description Documents for the digital control systems of the subsurface nuclear waste repository at Yucca Mountain. (7) Develop recommendations for applying NRC approval methods for digital control systems for the subsurface nuclear waste repository at Yucca Mountain. This analysis will focus on the development of the issues, criteria and methods used and required for identifying the appropriate requirements for digital based control systems. Attention will be placed on development of recommended design criteria for digital controls including interpretation of codes, standards and regulations. Attention will also focus on the use of digital controls and COTS (Commercial Off-the-shelf) technology and equipment in selected NRC approved digital control systems, and as referenced in applicable codes, standards and regulations. The analysis will address design issues related to COTS technology and how they were dealt with in previous NRC approved digital control systems.

  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. Microsoft Word - Int_blends_Rpt1_Updated.doc

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

    .........2-2 2.2.2 Statistical Analysis......Technology RVP Reid vapor pressure SAS Statistical Analysis System (software package) SG ...

  17. 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.

  18. 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)

  19. 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.

  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. 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.

  2. Subtask 1: Total systems analysis, assembly and testing | Center for

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

    Bio-Inspired Solar Fuel Production 1: Total systems analysis, assembly and testing All papers by year Subtask 1 Subtask 2 Subtask 3 Subtask 4 Subtask 5 Gust, D., Moore, T.A., and Moore, A.L. (2013) Artificial photosynthesis, Theoretical and Experimental Plant Physiology, 25, 182-185, http://dx.doi.org/10.1590/S2197-00252013005000002"> Sherman, B.D., Vaughn, M.D., Bergkamp, J.J., Gust, D., Moore, A.L., Moore, T.A. (2014) Evolution of reaction center mimics to systems capable of

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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).

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  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. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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 model shows that fossil thermal plants have fossil energy use and GHG emissions per kWh of electricity output about one order of magnitude higher than renewable power systems, including geothermal power.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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 parameters be held and managed in a single managed data repository, while allows users to customize standard values and perform individual analysis. Server-based calculations can be easily extended, versions and upgrades managed, and any changes are immediately available to all users. This user manual describes how to use and/or modify input database tables, run DANA, view and modify reports.

  3. 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)

  4. f i i j H I - - -

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

    selected tabulations were produced using two different software programs, Table Producing Language (TPL) and Statistical Analysis System (SAS). A final clean edited data tape of...

  5. u

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

    selected tabulations were produced using two different software programs, Table Producing Language (TPL) and Statistical Analysis System (SAS). 122 Energy Information...

  6. Household Vehicles Energy Consumption 1991

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

    selected tabulations were produced using two different software programs, Table Producing Language (TPL) and Statistical Analysis System (SAS). Energy Information Administration...

  7. 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).

  8. 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)

  9. 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 ... PDF icon Pump Life Cycle Costs: A Guide to LCC Analysis for Pumping Systems - Executive ...

  10. 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 ...

  11. NGNP Data Management and Analysis System Analysis and Web Delivery Capabilities

    SciTech Connect (OSTI)

    Cynthia D. Gentillon

    2011-09-01

    Projects for the Very High Temperature Reactor (VHTR) Technology Development Office provide data in support of Nuclear Regulatory Commission licensing of the very high temperature reactor. Fuel and materials to be used in the reactor are tested and characterized to quantify performance in high-temperature and high-fluence environments. The NGNP Data Management and Analysis System (NDMAS) at the Idaho National Laboratory has been established to ensure that VHTR data are (1) qualified for use, (2) stored in a readily accessible electronic form, and (3) analyzed to extract useful results. This document focuses on the third NDMAS objective. It describes capabilities for displaying the data in meaningful ways and for data analysis to identify useful relationships among the measured quantities. The capabilities are described from the perspective of NDMAS users, starting with those who just view experimental data and analytical results on the INL NDMAS web portal. Web display and delivery capabilities are described in detail. Also the current web pages that show Advanced Gas Reactor, Advanced Graphite Capsule, and High Temperature Materials test results are itemized. Capabilities available to NDMAS developers are more extensive, and are described using a second series of examples. Much of the data analysis efforts focus on understanding how thermocouple measurements relate to simulated temperatures and other experimental parameters. Statistical control charts and correlation monitoring provide an ongoing assessment of instrument accuracy. Data analysis capabilities are virtually unlimited for those who use the NDMAS web data download capabilities and the analysis software of their choice. Overall, the NDMAS provides convenient data analysis and web delivery capabilities for studying a very large and rapidly increasing database of well-documented, pedigreed data.

  12. Advanced High Temperature Reactor Systems and Economic Analysis

    SciTech Connect (OSTI)

    Holcomb, David Eugene; Peretz, Fred J; Qualls, A L

    2011-09-01

    The Advanced High Temperature Reactor (AHTR) is a design concept for a large-output [3400 MW(t)] fluoride-salt-cooled high-temperature reactor (FHR). FHRs, by definition, feature low-pressure liquid fluoride salt cooling, coated-particle fuel, a high-temperature power cycle, and fully passive decay heat rejection. The AHTR's large thermal output enables direct comparison of its performance and requirements with other high output reactor concepts. As high-temperature plants, FHRs can support either high-efficiency electricity generation or industrial process heat production. The AHTR analysis presented in this report is limited to the electricity generation mission. FHRs, in principle, have the potential to be low-cost electricity producers while maintaining full passive safety. However, no FHR has been built, and no FHR design has reached the stage of maturity where realistic economic analysis can be performed. The system design effort described in this report represents early steps along the design path toward being able to predict the cost and performance characteristics of the AHTR as well as toward being able to identify the technology developments necessary to build an FHR power plant. While FHRs represent a distinct reactor class, they inherit desirable attributes from other thermal power plants whose characteristics can be studied to provide general guidance on plant configuration, anticipated performance, and costs. Molten salt reactors provide experience on the materials, procedures, and components necessary to use liquid fluoride salts. Liquid metal reactors provide design experience on using low-pressure liquid coolants, passive decay heat removal, and hot refueling. High temperature gas-cooled reactors provide experience with coated particle fuel and graphite components. Light water reactors (LWRs) show the potentials of transparent, high-heat capacity coolants with low chemical reactivity. Modern coal-fired power plants provide design experience with advanced supercritical-water power cycles. The current design activities build upon a series of small-scale efforts over the past decade to evaluate and describe the features and technology variants of FHRs. Key prior concept evaluation reports include the SmAHTR preconceptual design report,1 the PB-AHTR preconceptual design, and the series of early phase AHTR evaluations performed from 2004 to 2006. This report provides a power plant-focused description of the current state of the AHTR. The report includes descriptions and sizes of the major heat transport and power generation components. Component configuration and sizing are based upon early phase AHTR plant thermal hydraulic models. The report also provides a top-down AHTR comparative economic analysis. A commercially available advanced supercritical water-based power cycle was selected as the baseline AHTR power generation cycle both due to its superior performance and to enable more realistic economic analysis. The AHTR system design, however, has several remaining gaps, and the plant cost estimates consequently have substantial remaining uncertainty. For example, the enriched lithium required for the primary coolant cannot currently be produced on the required scale at reasonable cost, and the necessary core structural ceramics do not currently exist in a nuclear power qualified form. The report begins with an overview of the current, early phase, design of the AHTR plant. Only a limited amount of information is included about the core and vessel as the core design and refueling options are the subject of a companion report. The general layout of an AHTR system and site showing the relationship of the major facilities is then provided. Next is a comparative evaluation of the AHTR anticipated performance and costs. Finally, the major system design efforts necessary to bring the AHTR design to a pre-conceptual level are then presented.

  13. Systems analysis and futuristic designs of advanced biofuel factory concepts.

    SciTech Connect (OSTI)

    Chianelli, Russ; Leathers, James; Thoma, Steven George; Celina, Mathias Christopher; Gupta, Vipin P.

    2007-10-01

    The U.S. is addicted to petroleum--a dependency that periodically shocks the economy, compromises national security, and adversely affects the environment. If liquid fuels remain the main energy source for U.S. transportation for the foreseeable future, the system solution is the production of new liquid fuels that can directly displace diesel and gasoline. This study focuses on advanced concepts for biofuel factory production, describing three design concepts: biopetroleum, biodiesel, and higher alcohols. A general schematic is illustrated for each concept with technical description and analysis for each factory design. Looking beyond current biofuel pursuits by industry, this study explores unconventional feedstocks (e.g., extremophiles), out-of-favor reaction processes (e.g., radiation-induced catalytic cracking), and production of new fuel sources traditionally deemed undesirable (e.g., fusel oils). These concepts lay the foundation and path for future basic science and applied engineering to displace petroleum as a transportation energy source for good.

  14. Urban Integrated Industrial Cogeneration Systems Analysis. Phase II final report

    SciTech Connect (OSTI)

    Not Available

    1984-01-01

    Through the Urban Integrated Industrial Cogeneration Systems Analysis (UIICSA), the City of Chicago embarked upon an ambitious effort to identify the measure the overall industrial cogeneration market in the city and to evaluate in detail the most promising market opportunities. This report discusses the background of the work completed during Phase II of the UIICSA and presents the results of economic feasibility studies conducted for three potential cogeneration sites in Chicago. Phase II focused on the feasibility of cogeneration at the three most promising sites: the Stockyards and Calumet industrial areas, and the Ford City commercial/industrial complex. Each feasibility case study considered the energy load requirements of the existing facilities at the site and the potential for attracting and serving new growth in the area. Alternative fuels and technologies, and ownership and financing options were also incorporated into the case studies. Finally, site specific considerations such as development incentives, zoning and building code restrictions and environmental requirements were investigated.

  15. NGNP Data Management and Analysis System Modeling Capabilities

    SciTech Connect (OSTI)

    Cynthia D. Gentillon

    2009-09-01

    Projects for the very-high-temperature reactor (VHTR) program provide data in support of Nuclear Regulatory Commission licensing of the VHTR. Fuel and materials to be used in the reactor are tested and characterized to quantify performance in high temperature and high fluence environments. In addition, thermal-hydraulic experiments are conducted to validate codes used to assess reactor safety. The VHTR Program has established the NGNP Data Management and Analysis System (NDMAS) to ensure that VHTR data are (1) qualified for use, (2) stored in a readily accessible electronic form, and (3) analyzed to extract useful results. This document focuses on the third NDMAS objective. It describes capabilities for displaying the data in meaningful ways and identifying relationships among the measured quantities that contribute to their understanding.

  16. Size-exclusion chromatography system for macromolecular interaction analysis

    DOE Patents [OSTI]

    Stevens, Fred J.

    1988-01-01

    A low pressure, microcomputer controlled system employing high performance liquid chromatography (HPLC) allows for precise analysis of the interaction of two reversibly associating macromolecules such as proteins. Since a macromolecular complex migrates faster than its components during size-exclusion chromatography, the difference between the elution profile of a mixture of two macromolecules and the summation of the elution profiles of the two components provides a quantifiable indication of the degree of molecular interaction. This delta profile is used to qualitatively reveal the presence or absence of significant interaction or to rank the relative degree of interaction in comparing samples and, in combination with a computer simulation, is further used to quantify the magnitude of the interaction in an arrangement wherein a microcomputer is coupled to analytical instrumentation in a novel manner.

  17. Development of an analysis capability for the National Transportation System

    SciTech Connect (OSTI)

    Anson, D.; Nelson, R.

    1997-10-24

    The purpose of this report is to examine the Department of Transportation`s (DOT) National Transportation System (NTS) initiative, to document what has been learned, and to outline a National Transportation Network Analysis Capability (NTNAC) based on a ``TRANSIMS-like`` approach. This study was conducted over a two month period at the end of FY1997. The scope of the effort was carefully defined to accommodate the short time horizon and to provide focus to a very large analytical problem. The objectives were to: (1) define the NTS and the NTS problem; (2) identify problem characteristics; (3) describe an analytical solution based on the TRANSIMS approach; (4) identify data requirements and availability; (5) develop criteria for a scenario to be used in a prototype demonstration; and (6) select a scenario for the prototype demonstration.

  18. Systems analysis of decontamination options for civilian vehicles.

    SciTech Connect (OSTI)

    Foltz, Greg W.; Hoette, Trisha Marie

    2010-11-01

    The objective of this project, which was supported by the Department of Homeland Security (DHS) Science and Technology Directorate (S&T) Chemical and Biological Division (CBD), was to investigate options for the decontamination of the exteriors and interiors of vehicles in the civilian setting in order to restore those vehicles to normal use following the release of a highly toxic chemical. The decontamination of vehicles is especially challenging because they often contain sensitive electronic equipment, multiple materials some of which strongly adsorb chemical agents, and in the case of aircraft, have very rigid material compatibility requirements (i.e., they cannot be exposed to reagents that may cause even minor corrosion). A systems analysis approach was taken examine existing and future civilian vehicle decontamination capabilities.

  19. Detailed End Use Load Modeling for Distribution System Analysis

    SciTech Connect (OSTI)

    Schneider, Kevin P.; Fuller, Jason C.

    2010-04-09

    The field of distribution system analysis has made significant advances in the past ten years. It is now standard practice when performing a power flow simulation to use an algorithm that is capable of unbalanced per-phase analysis. Recent work has also focused on examining the need for time-series simulations instead of examining a single time period, i.e., peak loading. One area that still requires a significant amount of work is the proper modeling of end use loads. Currently it is common practice to use a simple load model consisting of a combination of constant power, constant impedance, and constant current elements. While this simple form of end use load modeling is sufficient for a single point in time, the exact model values are difficult to determine and it is inadequate for some time-series simulations. This paper will examine how to improve simple time invariant load models as well as develop multi-state time variant models.

  20. SYSTEM ANALYSIS OF NUCLEAR-ASSISTED SYNGAS PRODUCTION FROM COAL

    SciTech Connect (OSTI)

    E. A. Harvego; M. G. McKellar; J. E. O'Brien

    2008-09-01

    A system analysis has been performed to assess the efficiency and carbon utilization of a nuclear-assisted coal gasification process. The nuclear reactor is a high-temperature helium-cooled reactor that is used primarily to provide power for hydrogen production via high-temperature electrolysis. The supplemental hydrogen is mixed with the outlet stream from an oxygen-blown coal gasifier to produce a hydrogen-rich gas mixture, allowing most of the carbon dioxide to be converted into carbon monoxide, with enough excess hydrogen to produce a syngas product stream with a hydrogen/carbon monoxide molar ratio of about 2:1. Oxygen for the gasifier is also provided by the high-temperature electrolysis process. Results of the analysis predict 90.5% carbon utilization with a syngas production efficiency (defined as the ratio of the heating value of the produced syngas to the sum of the heating value of the coal plus the high-temperature reactor heat input) of 66.1% at a gasifier temperature of 1866 K for the high-moisture-content lignite coal considered. Usage of lower moisture coals such as bituminous can yield carbon utilization approaching 100% and 70% syngas production efficiency.

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

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

    Power Systems | Department of Energy 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 life-cycle energy and greenhouse gas emissions analysis has been conducted with Argonne National Laboratory's GREET model for geothermal power-generating technologies, including enhanced geothermal, hydrothermal flash, and hydrothermal binary technologies. PDF icon

  2. NGNP Data Management and Analysis System Analysis and Web Delivery Capabilities

    SciTech Connect (OSTI)

    Cynthia D. Gentillon

    2010-09-01

    Projects for the Very High Temperature Reactor Technology Development Office provide data in support of Nuclear Regulatory Commission licensing of the very high temperature reactor. Fuel and materials to be used in the reactor are tested and characterized to quantify performance in high-temperature and high-fluence environments. In addition, thermal-hydraulic experiments are conducted to validate codes used to assess reactor safety. The Very High Temperature Reactor Technology Development Office has established the NGNP Data Management and Analysis System (NDMAS) at the Idaho National Laboratory to ensure that very high temperature reactor data are (1) qualified for use, (2) stored in a readily accessible electronic form, and (3) analyzed to extract useful results. This document focuses on the third NDMAS objective. It describes capabilities for displaying the data in meaningful ways and for data analysis to identify useful relationships among the measured quantities.

  3. Multiscale analysis of nonlinear systems using computational homology

    SciTech Connect (OSTI)

    Konstantin Mischaikow; Michael Schatz; William Kalies; Thomas Wanner

    2010-05-24

    This is a collaborative project between the principal investigators. However, as is to be expected, different PIs have greater focus on different aspects of the project. This report lists these major directions of research which were pursued during the funding period: (1) Computational Homology in Fluids - For the computational homology effort in thermal convection, the focus of the work during the first two years of the funding period included: (1) A clear demonstration that homology can sensitively detect the presence or absence of an important flow symmetry, (2) An investigation of homology as a probe for flow dynamics, and (3) The construction of a new convection apparatus for probing the effects of large-aspect-ratio. (2) Computational Homology in Cardiac Dynamics - We have initiated an effort to test the use of homology in characterizing data from both laboratory experiments and numerical simulations of arrhythmia in the heart. Recently, the use of high speed, high sensitivity digital imaging in conjunction with voltage sensitive fluorescent dyes has enabled researchers to visualize electrical activity on the surface of cardiac tissue, both in vitro and in vivo. (3) Magnetohydrodynamics - A new research direction is to use computational homology to analyze results of large scale simulations of 2D turbulence in the presence of magnetic fields. Such simulations are relevant to the dynamics of black hole accretion disks. The complex flow patterns from simulations exhibit strong qualitative changes as a function of magnetic field strength. Efforts to characterize the pattern changes using Fourier methods and wavelet analysis have been unsuccessful. (4) Granular Flow - two experts in the area of granular media are studying 2D model experiments of earthquake dynamics where the stress fields can be measured; these stress fields from complex patterns of 'force chains' that may be amenable to analysis using computational homology. (5) Microstructure Characterization - We extended our previous work on studying the time evolution of patterns associated with phase separation in conserved concentration fields. (6) Probabilistic Homology Validation - work on microstructure characterization is based on numerically studying the homology of certain sublevel sets of a function, whose evolution is described by deterministic or stochastic evolution equations. (7) Computational Homology and Dynamics - Topological methods can be used to rigorously describe the dynamics of nonlinear systems. We are approaching this problem from several perspectives and through a variety of systems. (8) Stress Networks in Polycrystals - we have characterized stress networks in polycrystals. This part of the project is aimed at developing homological metrics which can aid in distinguishing not only microstructures, but also derived mechanical response fields. (9) Microstructure-Controlled Drug Release - This part of the project is concerned with the development of topological metrics in the context of controlled drug delivery systems, such as drug-eluting stents. We are particularly interested in developing metrics which can be used to link the processing stage to the resulting microstructure, and ultimately to the achieved system response in terms of drug release profiles. (10) Microstructure of Fuel Cells - we have been using our computational homology software to analyze the topological structure of the void, metal and ceramic components of a Solid Oxide Fuel Cell.

  4. Multiscale analysis of nonlinear systems using computational homology

    SciTech Connect (OSTI)

    Konstantin Mischaikow, Rutgers University /Georgia Institute of Technology, Michael Schatz, Georgia Institute of Technology, William Kalies, Florida Atlantic University, Thomas Wanner,George Mason University

    2010-05-19

    This is a collaborative project between the principal investigators. However, as is to be expected, different PIs have greater focus on different aspects of the project. This report lists these major directions of research which were pursued during the funding period: (1) Computational Homology in Fluids - For the computational homology effort in thermal convection, the focus of the work during the first two years of the funding period included: (1) A clear demonstration that homology can sensitively detect the presence or absence of an important flow symmetry, (2) An investigation of homology as a probe for flow dynamics, and (3) The construction of a new convection apparatus for probing the effects of large-aspect-ratio. (2) Computational Homology in Cardiac Dynamics - We have initiated an effort to test the use of homology in characterizing data from both laboratory experiments and numerical simulations of arrhythmia in the heart. Recently, the use of high speed, high sensitivity digital imaging in conjunction with voltage sensitive fluorescent dyes has enabled researchers to visualize electrical activity on the surface of cardiac tissue, both in vitro and in vivo. (3) Magnetohydrodynamics - A new research direction is to use computational homology to analyze results of large scale simulations of 2D turbulence in the presence of magnetic fields. Such simulations are relevant to the dynamics of black hole accretion disks. The complex flow patterns from simulations exhibit strong qualitative changes as a function of magnetic field strength. Efforts to characterize the pattern changes using Fourier methods and wavelet analysis have been unsuccessful. (4) Granular Flow - two experts in the area of granular media are studying 2D model experiments of earthquake dynamics where the stress fields can be measured; these stress fields from complex patterns of 'force chains' that may be amenable to analysis using computational homology. (5) Microstructure Characterization - We extended our previous work on studying the time evolution of patterns associated with phase separation in conserved concentration fields. (6) Probabilistic Homology Validation - work on microstructure characterization is based on numerically studying the homology of certain sublevel sets of a function, whose evolution is described by deterministic or stochastic evolution equations. (7) Computational Homology and Dynamics - Topological methods can be used to rigorously describe the dynamics of nonlinear systems. We are approaching this problem from several perspectives and through a variety of systems. (8) Stress Networks in Polycrystals - we have characterized stress networks in polycrystals. This part of the project is aimed at developing homological metrics which can aid in distinguishing not only microstructures, but also derived mechanical response fields. (9) Microstructure-Controlled Drug Release - This part of the project is concerned with the development of topological metrics in the context of controlled drug delivery systems, such as drug-eluting stents. We are particularly interested in developing metrics which can be used to link the processing stage to the resulting microstructure, and ultimately to the achieved system response in terms of drug release profiles. (10) Microstructure of Fuel Cells - we have been using our computational homology software to analyze the topological structure of the void, metal and ceramic components of a Solid Oxide Fuel Cell.

  5. Pump Life Cycle Costs: A Guide to LCC Analysis for Pumping Systems -

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

    Executive Summary | Department of Energy 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 brochure is a management tool that can help companies minimize waste and maximize energy efficiency for pumping systems. PDF icon Pump Life Cycle Costs: A Guide to LCC Analysis for Pumping Systems - Executive Summary (January 2001) More Documents & Publications Variable Speed

  6. Pressure Systems Stored-Energy Threshold Risk Analysis

    SciTech Connect (OSTI)

    Paulsen, Samuel S.

    2009-08-25

    Federal Regulation 10 CFR 851, which became effective February 2007, brought to light potential weaknesses regarding the Pressure Safety Program at the Pacific Northwest National Laboratory (PNNL). The definition of a pressure system in 10 CFR 851 does not contain a limit based upon pressure or any other criteria. Therefore, the need for a method to determine an appropriate risk-based hazard level for pressure safety was identified. The Laboratory has historically used a stored energy of 1000 lbf-ft to define a pressure hazard; however, an analytical basis for this value had not been documented. This document establishes the technical basis by evaluating the use of stored energy as an appropriate criterion to establish a pressure hazard, exploring a suitable risk threshold for pressure hazards, and reviewing the methods used to determine stored energy. The literature review and technical analysis concludes the use of stored energy as a method for determining a potential risk, the 1000 lbf-ft threshold, and the methods used by PNNL to calculate stored energy are all appropriate. Recommendations for further program improvements are also discussed

  7. Environmental Systems Research and Analysis FY 2000 Annual Report

    SciTech Connect (OSTI)

    David L. Miller; Castle, Peter Myer; Steven J. Piet

    2001-01-01

    The Environmental Systems Research (ESR) Program, a part of the Environmental Systems Research and Analysis (ESRA) Program, was implemented to enhance and augment the technical capabilities of the INEEL. Strengthening the Technical capabilities of the INEEL will provide the technical base to serve effectively as the Environmental Management Laboratory for the Office of Environmental Management (EM). This is a progress report for the third year of the ESR Program (FY 2000). A report of activities is presented for the five ESR research investment areas: (1) Transport Aspects of Selective Mass Transport Agents, (2) Chemistry of Environmental Surfaces, (3) Materials Dynamics, (4) Characterization Science, and (5) Computational Simulation of Mechanical and Chemical Systems. In addition to the five technical areas, the report describes activities in the Science and Technology Foundations element of the program, e.g., interfaces between ESR and the EM Science Program (EMSP) and the EM Focus Areas. The five research areas are subdivided into 18 research projects. FY 2000 research in these 18 projects has resulted in more than 50 technical papers that are in print, in press, in review, or in preparation. Additionally, more than 100 presentations were made at professional society meetings nationally and internationally. Work supported by this program was in part responsible for one of our researchers, Dr. Mason Harrup, receiving the Department of Energy’s “Bright Light” and “Energy at 23” awards. Significant accomplishments were achieved. Non-Destructive Assay hardware and software was deployed at the INEEL, enhancing the quality and efficiency of TRU waste characterization for shipment. The advanced tensiometer has been employed at numerous sites around the complex to determine hydrologic gradients in variably saturated vadose zones. An ion trap, secondary ion mass spectrometer (IT-SIMS) was designed and fabricated to deploy at the INEEL site to measure the chemical speciation of radionuclides and toxic metals on the surfaces of environmentally significant minerals. The FY 2001 program will have a significantly different structure and research content. This report presents the final summary of projects coming to an end in FY 2000 and is a bridge to the FY 2001 program.

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

    Open Energy Info (EERE)

    Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Baseline projection, - Macroeconomic, Pathways analysis Resource Type:...

  9. Reducing the Carbon Footprint of Commercial Refrigeration Systems Using Life Cycle Climate Performance Analysis: From System Design to Refrigerant Options

    SciTech Connect (OSTI)

    Fricke, Brian A; Abdelaziz, Omar; Vineyard, Edward Allan

    2013-01-01

    In this paper, Life Cycle Climate Performance (LCCP) analysis is used to estimate lifetime direct and indirect carbon dioxide equivalent gas emissions of various refrigerant options and commercial refrigeration system designs, including the multiplex DX system with various hydrofluorocarbon (HFC) refrigerants, the HFC/R744 cascade system incorporating a medium-temperature R744 secondary loop, and the transcritical R744 booster system. The results of the LCCP analysis are presented, including the direct and indirect carbon dioxide equivalent emissions for each refrigeration system and refrigerant option. Based on the results of the LCCP analysis, recommendations are given for the selection of low GWP replacement refrigerants for use in existing commercial refrigeration systems, as well as for the selection of commercial refrigeration system designs with low carbon dioxide equivalent emissions, suitable for new installations.

  10. Engineering systems analysis of pressurized fluidized-bed-combustion power systems

    SciTech Connect (OSTI)

    Graves, R.L.; Griffin, F.P.; Lackey, M.E.

    1982-04-01

    This effort was conducted to provde supporting data for the research and development program on pressurized fluidized bed combustor (PFBC) systems being continued under the auspices of the Office of Coal Utilization of DOE. This report deals with the first phase of the effort, designated Task 1, which was scoped to be a somewhat broad review of PFBC technology and an analysis to determine its potential and sensitivity to key development needs. Background information pertaining to the application of PFBC to the market for coal-fired technology is included. The status of development is reviewed and the deficiencies in data are identified. Responses to a survey of PFBC developers are reviewed with emphasis on the high risk areas of the PFBC concept. Some of these problems are: uncertainty of life of gas turbine components; lack of demonstration of load following; and hot solids handling. Some high risk areas, such as the gas cleanup or gas turbine systems, can be relieved by reducing the severity of design conditions such as the turbine inlet temperature. Alternate turbine designs or plant configurations are also possible solutions. Analyses were performed to determine whether the advantages held by PFBC systems in cost, efficiency, and emissions would be nullified by measures taken to reduce risk. In general, the results showed that the attractive features of the PFBC could be preserved.

  11. Analysis of a graphite foam-NaCl latent heat storage system for...

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

    Analysis of a graphite foam-NaCl latent heat storage system for supercritical CO2 power cycles for concentrated solar power Title Analysis of a graphite foam-NaCl latent heat...

  12. Wind energy Computerized Maintenance Management System (CMMS) : data collection recommendations for reliability analysis.

    SciTech Connect (OSTI)

    Peters, Valerie A.; Ogilvie, Alistair; Veers, Paul S.

    2009-09-01

    This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a list of the data needed to support reliability and availability analysis, and gives specific recommendations for a Computerized Maintenance Management System (CMMS) to support automated analysis. This data collection recommendations report was written by Sandia National Laboratories to address the general data requirements for reliability analysis of fielded wind turbines. This report is intended to help the reader develop a basic understanding of what data are needed from a Computerized Maintenance Management System (CMMS) and other data systems, for reliability analysis. The report provides: (1) a list of the data needed to support reliability and availability analysis; and (2) specific recommendations for a CMMS to support automated analysis. Though written for reliability analysis of wind turbines, much of the information is applicable to a wider variety of equipment and a wider variety of analysis and reporting needs.

  13. Storage Systems Analysis Working Group | Department of Energy

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

    design, analysis, engineering, and optimization of reactors; materials properties ... Sunita Satyapal Hydrogen Storage Team Leader DOE Hydrogen and Fuel Cells Program Fuel Cell ...

  14. Automotive and MHE Fuel Cell System Cost Analysis

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

    Vince Contini, Kathya Mahadevan, Fritz Eubanks, Jennifer Smith, Gabe Stout and Mike Jansen Battelle April 16, 2013 Manufacturing Cost Analysis of Fuel Cells for Material Handling ...

  15. Microwave Plasma Monitoring System For Real-Time Elemental Analysis

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

    Analysis The invention apparatus can also be used to monitor for the presence of halogens, sulfur and silicon. Available for Feynman Center (505) 665-9090 Email Microwave...

  16. FAQS Gap Analysis Qualification Card – Mechanical Systems

    Broader source: Energy.gov [DOE]

    Functional Area Qualification Standard Gap Analysis Qualification Cards outline the differences between the last and latest version of the FAQ Standard.

  17. Fuel-Cycle Analysis of Hydrogen-Powered Fuel-Cell Systems with the GREET

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

    Model | Department of Energy 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 Michael Wang of Argonne National Laboratory provides information about an analysis of hydrogen-powered fuel-cell systems. PDF icon fuel_cycle_comparison_forklifts_presentation.pdf More Documents & Publications Fuel Cell Comparison of Distributed Power Generation Technologies

  18. A Closer Look: NREL's Analysis Helps Enable the Energy System of the Future

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

    - Continuum Magazine | NREL Closer Look: NREL's Analysis Helps Enable the Energy System of the Future Putting efficient methods for operating power systems into the hands of industry NREL's science and engineering innovations will help optimize entire energy systems, and the lab's analysis capabilities complement that engineering work by identifying ways to integrate renewable energy effectively and economically. Learn about how NREL research, in partnership with our strong analysis

  19. Intergrating Magnetotellurics, Soil Gas Geochemistry and Structural Analysis to Identify Hidden, High Enthalpy, Extensional Geothermal Systems

    Broader source: Energy.gov [DOE]

    Intergrating Magnetotellurics, Soil Gas Geochemistry and Structural Analysis to Identify Hidden, High Enthalpy, Extensional Geothermal Systems presentation at the April 2013 peer review meeting held in Denver, Colorado.

  20. Systems and Controls Analysis and Testing; Harvesting More Wind Energy with Advanced Controls Technology (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-01-01

    This fact sheet outlines the systems and controls analysis and testing that takes place at the NWTC on the Controls Advanced Research Turbines.