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Sample records for wind atlas analysis

  1. Wind Atlas Analysis and Application Program (WAsP) | Open Energy...

    Open Energy Info (EERE)

    Atlas Analysis and Application Program (WAsP) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Atlas Analysis and Application Program (WAsP) AgencyCompany...

  2. European Wind Atlas: Offshore | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontenteuropean-wind-atlas-offshore,http:c Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This...

  3. European Wind Atlas: Onshore | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontenteuropean-wind-atlas-onshore,http:cl Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This...

  4. European Wind Atlas: France | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontenteuropean-wind-atlas-france,http:cle Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This...

  5. Wind Energy Resource Atlas of Armenia

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

    G. Scott, S. Haymes, D. Heimiller, R. George National Renewable Energy Laboratory Wind Energy Resource Atlas of Armenia July 2003 * NRELTP-500-33544 Wind Energy Resource...

  6. Philippines Wind Energy Resource Atlas Development

    SciTech Connect (OSTI)

    Elliott, D.

    2000-11-29

    This paper describes the creation of a comprehensive wind energy resource atlas for the Philippines. The atlas was created to facilitate the rapid identification of good wind resource areas and understanding of the salient wind characteristics. Detailed wind resource maps were generated for the entire country using an advanced wind mapping technique and innovative assessment methods recently developed at the National Renewable Energy Laboratory.

  7. Global Atlas for Solar and Wind Energy | Open Energy Information

    Open Energy Info (EERE)

    Atlas for Solar and Wind Energy Jump to: navigation, search Tool Summary Name: Global Atlas for Solar and Wind Energy AgencyCompany Organization: International Renewable Energy...

  8. Wind Energy Atlas of Brazil | Open Energy Information

    Open Energy Info (EERE)

    Atlas of Brazil Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Energy Atlas of Brazil Focus Area: Renewable Energy Topics: Potentials & Scenarios Website:...

  9. Wind Resource Atlas of Oaxaca | Open Energy Information

    Open Energy Info (EERE)

    characteristics and distribution of wind resources in Oaxaca, Mexico, at a wind power density of 50 meters above ground. The detailed wind resource maps contained in the atlas...

  10. Canadian Wind Energy Atlas Potential Website | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentcanadian-wind-energy-atlas-potential- Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance...

  11. Wind Energy Resource Atlas of the Philippines

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; George, R.; Haymes, S.; Heimiller, D.; Scott, G.; McCarthy, E.

    2001-03-06

    This report contains the results of a wind resource analysis and mapping study for the Philippine archipelago. The study's objective was to identify potential wind resource areas and quantify the value of those resources within those areas. The wind resource maps and other wind resource characteristic information will be used to identify prospective areas for wind-energy applications.

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

    Office of Environmental Management (EM)

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

  13. Wind Energy Resource Atlas of the Dominican Republic

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

    October 2001 * NRELTP-500-27602 Wind Energy Resource Atlas of the Dominican Republic D. Elliott M. Schwartz R. George S. Haymes D. Heimiller G. Scott National Renewable Energy...

  14. Wind energy resource atlas. Volume 10. Alaska region

    SciTech Connect (OSTI)

    Wise, J.L.; Wentink, T. Jr.; Becker, R. Jr.; Comiskey, A.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-12-01

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each subregion of Alaska. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a state scale is given. The results of the wind energy assessments for each subregion are assembled into an overview and summary of the various features of the Alaska wind energy resource. An outline to the descriptions of the wind resource given for each subregion is included. Assessments for individual subregions are presented as separate chapters. The subregion wind energy resources are described in greater detail than is the Alaska wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the subregion chapters.

  15. Wind energy resource atlas. Volume 9. The Southwest Region

    SciTech Connect (OSTI)

    Simon, R.L.; Norman, G.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-11-01

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in Nevada and California. Background on how the wind resource is assessed and on how the results of the assessment should be interpreted is presented. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled into an overview and summary of the various features of the regional wind energy resource. An introduction and outline to the descriptions of the wind resource given for each state are given. Assessments for individual states are presented as separate chapters. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed.

  16. Wind energy resource atlas. Volume 2. The North Central Region

    SciTech Connect (OSTI)

    Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01

    The North Central atlas assimilates six collections of wind resource data: one for the region and one for each of the five states that compose the North Central region (Iowa, Minnesota, Nebraska, North Dakota, and South Dakota). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and that data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and international wind speed and power, and hourly average wind speed for each season. Other graphs present speed direction and duration frequencies of the wind at these locations.

  17. Wind energy resource atlas. Volume 7. The south central region

    SciTech Connect (OSTI)

    Edwards, R.L.; Graves, L.F.; Sprankle, A.C.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01

    This atlas of the south central region combines seven collections of wind resource data: one for the region, and one for each of the six states (Arkansas, Kansas, Louisiana, Missouri, Oklahoma, and Texas). At the state level, features of the climate, topography, and wind resource are discussed in greater detail than that provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  18. Articles about Wind Program Analysis

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

    6301 Articles about Wind Program Analysis en New Report Shows Domestic Offshore Wind Industry Potential, 21 Projects Planned in U.S. Waters http:energy.goveerearticles...

  19. Wind Energy Resource Atlas of Armenia (CD-ROM)

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

    Resource Atlas of Armenia (CD-ROM) http:www.nrel.govdocsfy03osti33877CD.zip (ZIP 31.9 MB) NRELCD-500-33877 July 2003 Instructions: The URL above links to a zipped archive...

  20. ATLAS

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

    ATLAS Basics The basics of ATLAS computing at PDSF Read More » Data Transfer DQ2 is the ATLAS data management and transfer tool. Read More » File Systems ATLAS has space on 4 elizas: 35TB on /eliza1, 35TB on /eliza2, 12TB on /eliza4 and 142TB on /eliza18. Read More » Running on Carver ATLAS software is obtained via cvmfs which is installed on PDSF nodes. There is presently no cvmfs installation available on Carver so it is not possible to run ATLAS jobs on Carver at this time. However, the

  1. NREL: Energy Analysis - Wind Technology Analysis

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

    Wind and Hydropower Technology Analysis Wind and hydropower analysis supports advanced technologies that convert more of the nation's wind into electricity. Grid Operational Impact Analysis The wind program will address the variable, normally uncontrollable nature of wind power plant output, and the additional needs that its operation imposes on the overall grid. At present, the generation and transmission operational impacts that occur due to wind variability are not well quantified. This

  2. Atlas Multimedia Educational Lab for Interactive Analysis

    Energy Science and Technology Software Center (OSTI)

    2008-04-01

    AMELIA is an application with focus on particle physics processes in ATLAS. This will allow students and othe users to decode the collision events that unfold after the head-on collisions of protons at the Large hadron Collider. AMELIA uses the Irrlicht engine for the 3D graphics and wxWidgets for the interface. It uses the best aspects of technical animation and allows users to control 3D representations of collision events and to manipulate 3D models ofmore » the detector and see how particles are detected as they pass through. It allows the user to rotate, zoom and select virtual pieces of the ATLAS detector and events. The characteristics of the events (momentum etc.) can also be read, and one can select tracks for analysis, activate context-oriented media, etc. This framework intends to integrate different types of media into a single product. This way, videos, animations, sound, interactive visualization and data analysis will be bound together in the same package.-« less

  3. Wind energy resource atlas. Volume 8. The southern Rocky Mountain region

    SciTech Connect (OSTI)

    Andersen, S.R.; Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01

    The Southern Rocky Mountain atlas assimilates five collections of wind resource data: one for the region and one for each of the four states that compose the Southern Rocky Mountain region (Arizona, Colorado, New Mexico, and Utah). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  4. Wind energy resources atlas. Volume 1. Northwest region

    SciTech Connect (OSTI)

    Elliott, D.L.; Barchet, W.R.

    1980-04-01

    Information is presented concering regional wind energy resource assessment; regional features; and state features for Idaho, Montana, Oregon, Washington, and Wyoming.

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

    Energy Savers [EERE]

    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

  6. Wind Energy Resource Atlas. Volume 11. Hawaii and Pacific Islands Region

    SciTech Connect (OSTI)

    Schroeder, T.A.; Hori, A.M.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01

    This atlas of the wind energy resource is composed of introductory and background information, and assessments of the wind resource in each division of the region. Background on how the wind resource is assessed and on how the results of the assessment should be inerpreted is presented. An introduction and outline to the descriptions of the wind resource for each division are provided. Assessments for individual divisions are presented as separate chapters. Much of the information in the division chapters is given in graphic or tabular form. The sequences for each chapter are similar, but some presentations used for Hawaii are inappropriate or impractical for presentation with the Pacific Islands. Hawaii chapter figure and tables are cited below and appropriate Pacific Islands figure and table numbers are included in brackets ().

  7. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps

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

    Additional Resources Wind Prospector A web-based GIS applications designed to support resource assessment and data exploration associated with wind development. Wind Maps NREL's Geospatial Data Science Team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and is documented in the Wind Energy Resource Atlas of the United

  8. On the Fatigue Analysis of Wind Turbines

    SciTech Connect (OSTI)

    Sutherland, Herbert J.

    1999-06-01

    Modern wind turbines are fatigue critical machines that are typically used to produce electrical power from the wind. Operational experiences with these large rotating machines indicated that their components (primarily blades and blade joints) were failing at unexpectedly high rates, which led the wind turbine community to develop fatigue analysis capabilities for wind turbines. Our ability to analyze the fatigue behavior of wind turbine components has matured to the point that the prediction of service lifetime is becoming an essential part of the design process. In this review paper, I summarize the technology and describe the ''best practices'' for the fatigue analysis of a wind turbine component. The paper focuses on U.S. technology, but cites European references that provide important insights into the fatigue analysis of wind turbines.

  9. Offshore Wind Market and Economic Analysis Report 2013 | Department of

    Energy Savers [EERE]

    Energy Offshore Wind Market and Economic Analysis Report 2013 Offshore Wind Market and Economic Analysis Report 2013 Offshore Wind Market and Economic Analysis Report 2013 Analysis of the U.S. wind market, including analysis of developments in wind technology, changes in policy, and effect on economic impact, regional development, and job creation. Published in October 2013. PDF icon offshore_wind_market_and_economic_analysis_10_2013.pdf More Documents & Publications 2014 Offshore Wind

  10. Hydrogen Storage in Wind Turbine Towers: Cost Analysis and Conceptual...

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

    in Wind Turbine Towers: Cost Analysis and Conceptual Design Hydrogen Storage in Wind Turbine Towers: Cost Analysis and Conceptual Design Preprint PDF icon 34851.pdf More Documents...

  11. SMART Wind Turbine Rotor: Data Analysis and Conclusions | Department of

    Energy Savers [EERE]

    Energy Data Analysis and Conclusions SMART Wind Turbine Rotor: Data Analysis and Conclusions Data analysis and conclusions from the SMART Rotor project, a wind turbine rotor with integrated trailing-edge flaps designed for active control of the rotor aerodynamics. PDF icon SMART Wind Turbine Rotor: Data Analysis and Conclusions More Documents & Publications SMART Wind Turbine Rotor: Data Analysis and Conclusions SMART Wind Turbine Rotor: Design and Field Test SMART Wind Turbine Rotor:

  12. Offshore Wind Market and Economic Analysis

    Energy Savers [EERE]

    February 22, 2013 Offshore Wind Market and Economic Analysis Page ii Document Number DE-EE0005360 U.S. Offshore Wind Market and Economic Analysis Annual Market Assessment Document Number DE-EE0005360 Prepared for: U.S. Department of Energy Michael Hahn Patrick Gilman Prepared by: Navigant Consulting, Inc. Lisa Frantzis, Principal Investigator Lindsay Battenberg Mark Bielecki Charlie Bloch Terese Decker Bruce Hamilton Aris Karcanias Birger Madsen Jay Paidipati Andy Wickless Feng Zhao Navigant

  13. Loads Analysis of Several Offshore Floating Wind Turbine Concepts

    SciTech Connect (OSTI)

    Robertson, A. N.; Jonkman, J. M.

    2011-10-01

    This paper presents a comprehensive dynamic-response analysis of six offshore floating wind turbine concepts.

  14. Argonne Physics Division - ATLAS

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

    Floorplan ATLAS Floorplan

  15. Distributed Wind Site Analysis Tool (DSAT) | Open Energy Information

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentdistributed-wind-site-analysis-tool-d Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance The...

  16. Advanced Coal Wind Hybrid: Economic Analysis

    SciTech Connect (OSTI)

    Phadke, Amol; Goldman, Charles; Larson, Doug; Carr, Tom; Rath, Larry; Balash, Peter; Yih-Huei, Wan

    2008-11-28

    Growing concern over climate change is prompting new thinking about the technologies used to generate electricity. In the future, it is possible that new government policies on greenhouse gas emissions may favor electric generation technology options that release zero or low levels of carbon emissions. The Western U.S. has abundant wind and coal resources. In a world with carbon constraints, the future of coal for new electrical generation is likely to depend on the development and successful application of new clean coal technologies with near zero carbon emissions. This scoping study explores the economic and technical feasibility of combining wind farms with advanced coal generation facilities and operating them as a single generation complex in the Western US. The key questions examined are whether an advanced coal-wind hybrid (ACWH) facility provides sufficient advantages through improvements to the utilization of transmission lines and the capability to firm up variable wind generation for delivery to load centers to compete effectively with other supply-side alternatives in terms of project economics and emissions footprint. The study was conducted by an Analysis Team that consists of staff from the Lawrence Berkeley National Laboratory (LBNL), National Energy Technology Laboratory (NETL), National Renewable Energy Laboratory (NREL), and Western Interstate Energy Board (WIEB). We conducted a screening level analysis of the economic competitiveness and technical feasibility of ACWH generation options located in Wyoming that would supply electricity to load centers in California, Arizona or Nevada. Figure ES-1 is a simple stylized representation of the configuration of the ACWH options. The ACWH consists of a 3,000 MW coal gasification combined cycle power plant equipped with carbon capture and sequestration (G+CC+CCS plant), a fuel production or syngas storage facility, and a 1,500 MW wind plant. The ACWH project is connected to load centers by a 3,000 MW transmission line. In the G+CC+CCS plant, coal is gasified into syngas and CO{sub 2} (which is captured). The syngas is burned in the combined cycle plant to produce electricity. The ACWH facility is operated in such a way that the transmission line is always utilized at its full capacity by backing down the combined cycle (CC) power generation units to accommodate wind generation. Operating the ACWH facility in this manner results in a constant power delivery of 3,000 MW to the load centers, in effect firming-up the wind generation at the project site.

  17. Hydrogen Storage in Wind Turbine Towers: Cost Analysis and Conceptual

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

    Design | Department of Energy in Wind Turbine Towers: Cost Analysis and Conceptual Design Hydrogen Storage in Wind Turbine Towers: Cost Analysis and Conceptual Design Preprint PDF icon 34851.pdf More Documents & Publications U.S. Wind Energy Manufacturing & Supply Chain: A Competitiveness Analysis Final Report DE-EE0005380 - Assessment of Offshore Wind Farm Effects on Sea Surface, Subsurface and Airborne Electronic Systems Technical Assessment of Cryo-Compressed Hydrogen Storage Tank

  18. Articles about Wind Program Analysis | Department of Energy

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

    Wind Program Analysis Articles about Wind Program Analysis RSS Below are stories about research efforts featured by the U.S. Department of Energy (DOE) Wind Program. September 29, 2015 New Report Shows Domestic Offshore Wind Industry Potential, 21 Projects Planned in U.S. Waters The Energy Department today released a new report showing strong progress for the U.S. offshore wind market-including the start of construction of the nation's first commercial-scale offshore wind farm, one of 21

  19. 2014 Offshore Wind Market and Economic Analysis | Department of Energy

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

    4 Offshore Wind Market and Economic Analysis 2014 Offshore Wind Market and Economic Analysis The objective of this report is to provide a comprehensive annual assessment of the U.S. offshore wind market.This 3rd annual report focuses on new developments that have occurred in 2014. The report provides stakeholders with a reliable and consistent data source addressing entry barriers and U.S. competitiveness in the offshore wind market. Available for download are both the full report and the

  20. Offshore Wind Market and Economic Analysis

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

    RPS renewable portfolio standard RTO regional transmission organization SAP site assessment plan UPR unsaturated polyester resin WAB Wind Agency Bremerhaven WEA Wind Energy...

  1. ATLAS: A Small, Light Weight, Time-Synchronized Wind-Turbine Data Acquistion System

    SciTech Connect (OSTI)

    Berg, D.E.; Robertson, P.; Zayas, J.

    1998-11-09

    Wind energy researchers at Sandia National Laboratories have developed a small, lightweight, time- synchronized, robust data acquisition system to acquire long-term time-series data on a wind turbine rotor. A commercial data acquisition module is utilized to acquire data simultaneously from multip!e strain-gauge, analog, and digital channels. Acquisition of rotor data at precisely the same times as acquisition of ground data is ensured by slaving the acquisition clocks on the rotor- based data unit and ground-based units to the Global Positioning Satellite (GPS) system with commercial GPS receiver units and custom-built and programmed programmable logic devices. The acquisition clocks will remain synchronized within two microseconds indefinitely. Field tests have confirmed that synchronization can be maintained at rotation rates in excess of 350 rpm, Commercial spread-spectrum radio modems are used to transfer the rotor data to a ground- based computer concurrently with data acquisition, permitting continuous acquisition of data over a period of several hours, days or even weeks.

  2. Offshore Wind Market and Economic Analysis Report 2013

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

    and Economic Analysis Page 16 Document Number DE-EE0005360 by combining an excellent wind source and efficient large capacity turbines with the design, fabrication, and...

  3. Wind/Wave Misalignment in the Loads Analysis of a Floating Offshore Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Barj, L.; Stewart, S.; Stewart, G.; Lackner, M.; Jonkman, J.; Robertson, A.

    2014-02-01

    Wind resources far from the shore and in deeper seas have encouraged the offshore wind industry to look into floating platforms. The International Electrotechnical Commission (IEC) is developing a new technical specification for the design of floating offshore wind turbines that extends existing design standards for land-based and fixed-bottom offshore wind turbines. The work summarized in this paper supports the development of best practices and simulation requirements in the loads analysis of floating offshore wind turbines by examining the impact of wind/wave misalignment on the system loads under normal operation. Simulations of the OC3-Hywind floating offshore wind turbine system under a wide range of wind speeds, significant wave heights, peak-spectral periods and wind/wave misalignments have been carried out with the aero-servo-hydro-elastic tool FAST [4]. The extreme and fatigue loads have been calculated for all the simulations. The extreme and fatigue loading as a function of wind/wave misalignment have been represented as load roses and a directional binning sensitivity study has been carried out. This study focused on identifying the number and type of wind/wave misalignment simulations needed to accurately capture the extreme and fatigue loads of the system in all possible metocean conditions considered, and for a down-selected set identified as the generic US East Coast site. For this axisymmetric platform, perpendicular wind and waves play an important role in the support structure and including these cases in the design loads analysis can improve the estimation of extreme and fatigue loads. However, most structural locations see their highest extreme and fatigue loads with aligned wind and waves. These results are specific to the spar type platform, but it is expected that the results presented here will be similar to other floating platforms.

  4. 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

  5. 2014 Offshore Wind Market & Economic Analysis Cover Photo | Department of

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

    Energy 4 Offshore Wind Market & Economic Analysis Cover Photo 2014 Offshore Wind Market & Economic Analysis Cover Photo Image icon Navigant 2014 Offshore Wind Market and Economic Analysis.JPG More Documents & Publications U.S. Wind Energy Manufacturing & Supply Chain Cover Photo Offshore Wind Projects 2014 Offshore Wind Market and Economic Analysis Wind Program Home About the Program Research & Development WINDExchange Financial Opportunities Information Resources News

  6. 2014 Offshore Wind Market and Economic Analysis

    SciTech Connect (OSTI)

    Hamilton, Bruce

    2014-08-25

    The objective of this report is to provide a comprehensive annual assessment of the U.S. offshore wind market.This 3rd annual report focuses on new developments that have occurred in 2014. The report provides stakeholders with a reliable and consistent data source addressing entry barriers and U.S. competitiveness in the offshore wind market. Available for download are both the full report and the report's underlying data.

  7. Offshore Wind Market and Economic Analysis Report 2013

    Energy Savers [EERE]

    October 17, 2013 Offshore Wind Market and Economic Analysis Page ii Document Number DE-EE0005360 U.S. Offshore Wind Market and Economic Analysis Annual Market Assessment Document Number DE-EE0005360 Prepared for: U.S. Department of Energy Michael Hahn Patrick Gilman Prepared by: Navigant Consulting, Inc. Bruce Hamilton, Principal Investigator Lindsay Battenberg Mark Bielecki Charlie Bloch Terese Decker Lisa Frantzis Jay Paidipati Andy Wickless Feng Zhao Navigant Consortium Member Organizations

  8. Initial Economic Analysis of Utility-scale Wind Integration in Hawaii |

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

    Department of Energy Initial Economic Analysis of Utility-scale Wind Integration in Hawaii Initial Economic Analysis of Utility-scale Wind Integration in Hawaii Summarizes analysis of the economic characteristics of the utility-scale wind configuration project that has been referred to as the "Big Wind" project. PDF icon Initial Economic Analysis of Utility-scale Wind Integration in Hawaii More Documents & Publications OAHU Wind Integration And Transmission Study: Summary

  9. Wear Analysis of Wind Turbine Gearbox Bearings

    SciTech Connect (OSTI)

    Blau, Peter Julian; Walker, Larry R; Xu, Hanbing; Parten, Randy J; Qu, Jun; Geer, Tom

    2010-04-01

    The objective of this effort was to investigate and characterize the nature of surface damage and wear to wind turbine gearbox bearings returned from service in the field. Bearings were supplied for examination by S. Butterfield and J. Johnson of the National Wind Technology Center (NREL), Boulder, Colorado. Studies consisted of visual examination, optical and electron microscopy, dimensional measurements of wear-induced macro-scale and micro-scale features, measurements of macro- and micro-scale hardness, 3D imaging of surface damage, studies of elemental distributions on fracture surfaces, and examinations of polished cross-sections of surfaces under various etched and non-etched conditions.

  10. Sensitivity Analysis of Offshore Wind Cost of Energy (Poster)

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; Graf, P.; Scott, G.; Damiami, R.; Hand, M.; Meadows, R.; Musial, W.; Moriarty, P.; Veers, P.

    2012-10-01

    No matter the source, offshore wind energy plant cost estimates are significantly higher than for land-based projects. For instance, a National Renewable Energy Laboratory (NREL) review on the 2010 cost of wind energy found baseline cost estimates for onshore wind energy systems to be 71 dollars per megawatt-hour ($/MWh), versus 225 $/MWh for offshore systems. There are many ways that innovation can be used to reduce the high costs of offshore wind energy. However, the use of such innovation impacts the cost of energy because of the highly coupled nature of the system. For example, the deployment of multimegawatt turbines can reduce the number of turbines, thereby reducing the operation and maintenance (O&M) costs associated with vessel acquisition and use. On the other hand, larger turbines may require more specialized vessels and infrastructure to perform the same operations, which could result in higher costs. To better understand the full impact of a design decision on offshore wind energy system performance and cost, a system analysis approach is needed. In 2011-2012, NREL began development of a wind energy systems engineering software tool to support offshore wind energy system analysis. The tool combines engineering and cost models to represent an entire offshore wind energy plant and to perform system cost sensitivity analysis and optimization. Initial results were collected by applying the tool to conduct a sensitivity analysis on a baseline offshore wind energy system using 5-MW and 6-MW NREL reference turbines. Results included information on rotor diameter, hub height, power rating, and maximum allowable tip speeds.

  11. NREL-Philippine Wind Farm Analysis and Site Selection Analysis...

    Open Energy Info (EERE)

    National Renewable Energy Laboratory Sector: Energy Focus Area: Renewable Energy, Wind Topics: Co-benefits assessment, - Energy Access, Low emission development...

  12. NREL: Wind Research - International Wind Resource Maps

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

    International Wind Resource Maps NREL is helping to develop high-resolution projections of wind resources worldwide. This allows for more accurate siting of wind turbines and has led to the recognition of higher class winds in areas where none were thought to exist. This page provides access to NREL-developed wind resource maps and atlases for several countries. NREL's wind mapping projects have been supported by the U.S. Department of Energy, U.S. Agency for International Development, and

  13. U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis

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

    Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis Prepared for: U.S. Department of Energy GLWN, Global Wind Network 4855 W. 130 th St. Cleveland, OH 44135 216-588-1440 www.glwn.org June 15, 2014 U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis This page intentionally left blank U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis Document

  14. SMART Wind Turbine Rotor: Data Analysis and Conclusions | Department of

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

    Energy Data Analysis and Conclusions SMART Wind Turbine Rotor: Data Analysis and Conclusions This report documents the data post-processing and analysis performed to date on the field test data. Results include the control capability of the trailing edge flaps, the combined structural and aerodynamic damping observed through application of step actuation with ensemble averaging, direct observation of time delays associated with aerodynamic response, and techniques for characterizing an

  15. Articles about Wind Program Analysis | Department of Energy

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

    (DOE) Wind Program. October 1, 2013 DOE to Host a Booth at Offshore WINDPOWER The Wind Program will be exhibiting at the American Wind Energy Association (AWEA) Offshore...

  16. SMART wind turbine rotor. Data analysis and conclusions

    SciTech Connect (OSTI)

    Berg, Jonathan Charles; Barone, Matthew Franklin; Yoder, Nathanael C.

    2014-01-01

    The Wind Energy Technologies department at Sandia National Laboratories has developed and field tested a wind turbine rotor with integrated trailing-edge flaps designed for active control of the rotor aerodynamics. The SMART Rotor project was funded by the Wind and Water Power Technologies Office of the U.S. Department of Energy (DOE) and was conducted to demonstrate active rotor control and evaluate simulation tools available for active control research. This report documents the data post-processing and analysis performed to date on the field test data. Results include the control capability of the trailing edge flaps, the combined structural and aerodynamic damping observed through application of step actuation with ensemble averaging, direct observation of time delays associated with aerodynamic response, and techniques for characterizing an operating turbine with active rotor control.

  17. 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)

  18. Wind Turbine Gearbox Condition Monitoring Round Robin Study - Vibration Analysis

    SciTech Connect (OSTI)

    Sheng, S.

    2012-07-01

    The Gearbox Reliability Collaborative (GRC) at the National Wind Technology Center (NWTC) tested two identical gearboxes. One was tested on the NWTCs 2.5 MW dynamometer and the other was field tested in a turbine in a nearby wind plant. In the field, the test gearbox experienced two oil loss events that resulted in damage to its internal bearings and gears. Since the damage was not severe, the test gearbox was removed from the field and retested in the NWTCs dynamometer before it was disassembled. During the dynamometer retest, some vibration data along with testing condition information were collected. These data enabled NREL to launch a Wind Turbine Gearbox Condition Monitoring Round Robin project, as described in this report. The main objective of this project was to evaluate different vibration analysis algorithms used in wind turbine condition monitoring (CM) and find out whether the typical practices are effective. With involvement of both academic researchers and industrial partners, the project sets an example on providing cutting edge research results back to industry.

  19. Continuous Reliability Enhancement for Wind (CREW) Database and Analysis

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

    Program (CREW) Database and Analysis Program - 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

  20. SMART Wind Turbine Rotor: Data Analysis and Conclusions

    Energy Savers [EERE]

    712 Unlimited Release Printed January 2014 SMART Wind Turbine Rotor: Data Analysis and Conclusions Jonathan C. Berg, Matthew F. Barone, and Nathanael C. Yoder Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration

  1. 2012 & 2013 Offshore Wind Market & Economic Analysis Reports | Department

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

    of Energy 2 & 2013 Offshore Wind Market & Economic Analysis Reports 2012 & 2013 Offshore Wind Market & Economic Analysis Reports The objective of these report is to provide a comprehensive annual assessment of the U.S. offshore wind market. Available for download are the 2012 & 2013 Offshore Wind Market & Economic Analysis full reports prepared by Navigant Consulting. The 2012 report contains the following significant analyses which are not present in the 2013 or 2014

  2. Analysis of wind power ancillary services characteristics with German 250-MW wind data

    SciTech Connect (OSTI)

    Ernst, B.

    1999-12-09

    With the increasing availability of wind power worldwide, power fluctuations have become a concern for some utilities. Under electric industry restructuring in the US, the impact of these fluctuations will be evaluated by examining provisions and costs of ancillary services for wind power. This paper analyzes wind power in the context of ancillary services, using data from a German 250 Megawatt Wind project.

  3. Initial Economic Analysis of Utility-Scale Wind Integration in Hawaii

    SciTech Connect (OSTI)

    Not Available

    2012-03-01

    This report summarizes an analysis, conducted by the National Renewable Energy Laboratory (NREL) in May 2010, of the economic characteristics of a particular utility-scale wind configuration project that has been referred to as the 'Big Wind' project.

  4. 2012-2014 Offshore Wind Market and Economic Analysis Reports | Department

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

    of Energy -2014 Offshore Wind Market and Economic Analysis Reports 2012-2014 Offshore Wind Market and Economic Analysis Reports These reports authored by the Navigant Consortium provide a comprehensive annual assessment of the U.S. offshore wind market from 2012 to 2014. The reports provides stakeholders with a reliable and consistent data source addressing entry barriers and U.S. competitiveness in the offshore wind market. The 2012 edition contains significant policy and economic analyses,

  5. U.S. Wind Energy Manufacturing & Supply Chain: A Competitiveness Analysis |

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

    Department of Energy U.S. Wind Energy Manufacturing & Supply Chain: A Competitiveness Analysis U.S. Wind Energy Manufacturing & Supply Chain: A Competitiveness Analysis The Global Wind Network (GLWN) assessed the key factors that determine wind energy component manufacturing costs and pricing on a global basis in order to provide a better understanding of the factors that will help enhance the competitiveness of U.S. manufacturers, and reduce installed system costs. GLWN Cover

  6. Analysis of Mesoscale Model Data for Wind Integration (Poster)

    SciTech Connect (OSTI)

    Schwartz, M.; Elliott, D.; Lew, D.; Corbus, D.; Scott, G.; Haymes, S.; Wan, Y. H.

    2009-05-01

    Supports examination of implications of national 20% wind vision, and provides input to integration and transmission studies for operational impact of large penetrations of wind on the grid.

  7. Analysis of Wind Power Ramping Behavior in ERCOT

    SciTech Connect (OSTI)

    Wan, Y. H.

    2011-03-01

    This report analyzes the wind power ramping behavior using 10-minute and hourly average wind power data from ERCOT and presents statistical properties of the large ramp events.

  8. Lifting surface performance analysis for horizontal axis wind turbines

    SciTech Connect (OSTI)

    Kocurek, D.

    1987-06-01

    This report describes how numerical lifting-surface theory is applied to the calculation of a horizontal-axis wind turbine's aerodynamic characteristics and performance. The report also describes how such an application is implemented as a computer program. The method evolved from rotary-wing and helicopter applications and features a detailed, prescribed wake. The wake model extends from a hovering-rotor experimental generalization to include the effect of the windmill brake state on the radial and axial displacement rates of the trailing vortex system. Performance calculations are made by coupling the lifting-surface circulation solution to a blade-element analysis that incorporates two-dimensional airfoil characteristics as functions of angle of attack and Reynolds number. Several analytical stall models are also provided to extend the airfoil characteristics beyond the limits of available data. Although this work focuses on the steady-performance problem, the method includes ways to investigate the effects of wind-shear profile, tower shadow, and off-axis shaft alignment. Correlating the method to measured wind-turbine performance, and comparing it to blade-element momentum theory calculations, validate and highlight the extreme sensitivity of predictions to the quality of early post-stall airfoil behavior.

  9. Analysis of Offshore Wind Energy Leasing Areas for the Rhode Island/Massachusetts Wind Energy Area

    SciTech Connect (OSTI)

    Musial, W.; Elliott, D.; Fields, J.; Parker, Z.; Scott, G.

    2013-04-01

    The National Renewable Energy Laboratory (NREL), under an interagency agreement with the Bureau of Ocean Energy Management (BOEM), is providing technical assistance to BOEM on the identification and delineation of offshore leasing areas for offshore wind energy development within the Atlantic Coast Wind Energy Areas (WEAs) established by BOEM in 2012. This report focuses on NREL's evaluation of BOEM's Rhode Island/Massachusetts (RIMA) WEA leasing areas. The objective of the NREL evaluation was to assess the proposed delineation of the two leasing areas and determine if the division is reasonable and technically sound. Additionally, the evaluation aimed to identify any deficiencies in the delineation. As part of the review, NREL performed the following tasks: 1. Performed a limited review of relevant literature and RIMA call nominations. 2. Executed a quantitative analysis and comparison of the two proposed leasing areas 3. Conducted interviews with University of Rhode Island (URI) staff involved with the URI Special Area Management Plan (SAMP) 4. Prepared this draft report summarizing the key findings.

  10. A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities on

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

    Surrounding Property Values in the United States | Department of Energy A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities on Surrounding Property Values in the United States A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities on Surrounding Property Values in the United States This report summarizes a new analysis, building on previously published research, about wind energy's effects on residential property values. This study helps fill research gaps by

  11. Supplemental Modeling and Analysis Report, Atlas Corporation Moab Mill, Moab, Utah

    SciTech Connect (OSTI)

    Easterly, CE

    2001-11-05

    The purpose of this report is to provide additional numerical modeling and data evaluation for the Atlas tailings pile near Moab, Utah. A previous report (Tailings Pile Seepage Model: The Atlas Corporation Moab Mill, Moab, Utah, January 9, 1998) prepared for the Nuclear Regulatory Commission (NRC) by Oak Ridge National Laboratory/Grand Junction (ORNL/GJ) presented the results of steady-state modeling of water flow and subsequent discharge to the underlying groundwater system. At the request of the Fish and Wildlife Service (FWS), this model was expanded to evaluate the impact of drainage from the tailings pile in addition to recharge from precipitation in a transient mode simulation. In addition, the FWS requested transient simulations of contaminant transport in the alluvial aquifer. Subsequently, NRC requested an evaluation of additional hydrologic issues related to the results presented in the Tailings Pile Seepage Model (ORNL/GJ 1998a) and the Limited Groundwater Investigation (ORNL/GJ 1998b). Funding for the report was provided by the U.S. Department of Energy. The following section lists the individual tasks with subsequent sections providing the results. A map for the Atlas Moab Mill site is presented in Fig. 1.1.

  12. A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities...

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

    This report summarizes a new analysis, building on previously published research, about wind energy's effects on residential property values. This study helps fill research gaps by ...

  13. Offshore Wind Market and Economic Analysis Report 2013

    SciTech Connect (OSTI)

    Frantzis, Lisa

    2013-10-01

    The objective of this report is to provide a comprehensive annual assessment of the U.S. offshore wind market.

  14. Argonne Physics Division - ATLAS

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

    User Info Contacts Visitor Info User Agreement Training Requirements Experimental Equipment Safety Data Management Users Group ATLAS Users Workshop 2009 25 Years of ATLAS Gretina Workshop ATLAS Users Workshop 2014 ATLAS Strategic Plan (2014) Targetlab The ATLAS User Program As the Nation's leading low-energy, stable beam accelerator facility, ATLAS has a diverse and vigorous user program. In a typical year, between 100 and 200 outside users will come to ATLAS to perform experiments. Researchers

  15. LBNL/NREL Analysis Predicts Record Low LCOE for Wind Energy in 2012-2013 |

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

    Department of Energy LBNL/NREL Analysis Predicts Record Low LCOE for Wind Energy in 2012-2013 LBNL/NREL Analysis Predicts Record Low LCOE for Wind Energy in 2012-2013 February 24, 2012 - 11:27am Addthis This is an excerpt from the First Quarter 2012 edition of the Wind Program R&D Newsletter. A recent analysis conducted by the Lawrence Berkley National Laboratory (LBNL) and the National Renewable Energy Laboratory (NREL) suggests that lower capital costs and continued increases in wind

  16. 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.

  17. Wind turbine reliability : a database and analysis approach.

    SciTech Connect (OSTI)

    Linsday, James; Briand, Daniel; Hill, Roger Ray; Stinebaugh, Jennifer A.; Benjamin, Allan S.

    2008-02-01

    The US wind Industry has experienced remarkable growth since the turn of the century. At the same time, the physical size and electrical generation capabilities of wind turbines has also experienced remarkable growth. As the market continues to expand, and as wind generation continues to gain a significant share of the generation portfolio, the reliability of wind turbine technology becomes increasingly important. This report addresses how operations and maintenance costs are related to unreliability - that is the failures experienced by systems and components. Reliability tools are demonstrated, data needed to understand and catalog failure events is described, and practical wind turbine reliability models are illustrated, including preliminary results. This report also presents a continuing process of how to proceed with controlling industry requirements, needs, and expectations related to Reliability, Availability, Maintainability, and Safety. A simply stated goal of this process is to better understand and to improve the operable reliability of wind turbine installations.

  18. Wind Energy

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

    Wind Energy - CompositeTesting-BNaughton Permalink Gallery New report highlights key composite testing trends for more reliable and lower cost wind blade designs News, Partnership, Publications, Renewable Energy, Research & Capabilities, Wind Energy, Wind News New report highlights key composite testing trends for more reliable and lower cost wind blade designs Sandia National Laboratories recently published "Analysis of SNL/MSU/DOE Fatigue Database Trends for Wind Turbine Blade

  19. Computational design and analysis of flatback airfoil wind tunnel experiment.

    SciTech Connect (OSTI)

    Mayda, Edward A.; van Dam, C.P.; Chao, David D.; Berg, Dale E.

    2008-03-01

    A computational fluid dynamics study of thick wind turbine section shapes in the test section of the UC Davis wind tunnel at a chord Reynolds number of one million is presented. The goals of this study are to validate standard wind tunnel wall corrections for high solid blockage conditions and to reaffirm the favorable effect of a blunt trailing edge or flatback on the performance characteristics of a representative thick airfoil shape prior to building the wind tunnel models and conducting the experiment. The numerical simulations prove the standard wind tunnel corrections to be largely valid for the proposed test of 40% maximum thickness to chord ratio airfoils at a solid blockage ratio of 10%. Comparison of the computed lift characteristics of a sharp trailing edge baseline airfoil and derived flatback airfoils reaffirms the earlier observed trend of reduced sensitivity to surface contamination with increasing trailing edge thickness.

  20. Argonne Physics Division - ATLAS

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

    Facility User Info Proposals Beam Schedule Safety Gammasphere GRETINA FMA CARIBU HELIOS AGFA AIRIS Targetlab Workshop 2009 25 Years of ATLAS Gretina Workshop Workshop 2014 ATLAS Strategic Plan (2014) ATLAS Gus Savard Guy Savard, Scientific Director of ATLAS Welcome to ATLAS, the Argonne Tandem Linac Accelerator System. ATLAS is the world's first superconducting linear accelerator for heavy ions at energies in the vicinity of the Coulomb barrier. This is the energy domain best suited to study the

  1. Carbon Storage Atlas - Fifth Edition (Atlas V) (2015)

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

    Carbon Storage Atlas - Fifth Edition (Atlas V) (2015) Atlas V Complete Document [PDF-73.1MB] Carbon Storage Atlas - Fifth Edition (Atlas V) (2015) The U.S. Department of Energy's (DOE) National Energy Technology Laboratory (NETL) is proud to release the fifth edition of the Carbon Storage Atlas (Atlas V). Production of Atlas V is the result of collaboration among carbon storage experts from local, State, and Federal agencies, as well as industry and academia. Atlas V provides a coordinated

  2. Analysis of Alternative Extensions of the Existing Production Tax Credit for Wind Generators

    Reports and Publications (EIA)

    2007-01-01

    Requestor: Ms. Janice Mays, Chief Counsel, Committee on Ways & Means, U.S. House of Representatives This is a letter response requesting analysis of alternative extensions of the existing production tax credit (PTC) that would apply to wind generators only.

  3. Loads Analysis of a Floating Offshore Wind Turbine Using Fully Coupled Simulation: Preprint

    SciTech Connect (OSTI)

    Jonkman, J. M.; Buhl, M. L., Jr.

    2007-06-01

    This paper presents the use of fully coupled aero-hydro-servo-elastic simulation tools to perform a loads analysis of a 5-MW offshore wind turbine supported by a barge with moorings, one of many promising floating platform concepts.

  4. Western Wind and Solar Integration Study: Hydropower Analysis

    SciTech Connect (OSTI)

    Acker, T.; Pete, C.

    2012-03-01

    The U.S. Department of Energy's (DOE) study of 20% Wind Energy by 2030 was conducted to consider the benefits, challenges, and costs associated with sourcing 20% of U.S. energy consumption from wind power by 2030. This study found that with proactive measures, no insurmountable barriers were identified to meet the 20% goal. Following this study, DOE and the National Renewable Energy Laboratory (NREL) conducted two more studies: the Eastern Wind Integration and Transmission Study (EWITS) covering the eastern portion of the U.S., and the Western Wind and Solar Integration Study (WWSIS) covering the western portion of the United States. The WWSIS was conducted by NREL and research partner General Electric (GE) in order to provide insight into the costs, technical or physical barriers, and operational impacts caused by the variability and uncertainty of wind, photovoltaic, and concentrated solar power when employed to serve up to 35% of the load energy in the WestConnect region (Arizona, Colorado, Nevada, New Mexico, and Wyoming). WestConnect is composed of several utility companies working collaboratively to assess stakeholder and market needs to and develop cost-effective improvements to the western wholesale electricity market. Participants include the Arizona Public Service, El Paso Electric Company, NV Energy, Public Service of New Mexico, Salt River Project, Tri-State Generation and Transmission Cooperative, Tucson Electric Power, Xcel Energy and the Western Area Power Administration.

  5. Argonne Physics Division - ATLAS

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

    ATLAS 25th Anniversary Celebration Presentations Summary of the History of ATLAS W. F. Henning Reminiscences 1: From Whence did ATLAS arise? J. P. Schiffer Reminiscences 2: ATLAS 25th Anniversary Celebration R. Pardo Reminiscences 3: The Argonne-Notre Dame Gamma-ray Facility U. Garg Reminiscences 4: Atom Trap at ATLAS Z. T. Lu The Impact of ATLAS on SRF Development and Applications R. E. Laxdel Technical Challenges in Low-velocity SRF Development M. Kelly Offsprings of ATLAS - the Florida State

  6. Argonne Physics Division - ATLAS

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

    General Safety Considerations at ATLAS For onsite emergencies, call 911 on the internal phones (or 252-1911 on cell phones) Important general safety topics: ATLAS requires that everyone in the facility must have successfully completed the ATLAS Site Specific Training and the ATLAS Radiation Worker I equivalent training within the past two years. Please contact the ATLAS User Administrative Assistant (Barbara Weller) at extension 2-4044 if you need to take this training. The only exception to the

  7. Argonne Physics Division - ATLAS

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

    25 Years of ATLAS First Circulation Agenda Registration Attendees Presentations Photos of the Meeting Photos of History The ATLAS Research at ATLAS Dear Friend, This is the second notice for the symposium to celebrate the 25th anniversary of the dedication of ATLAS which took place on June 25, 1985. The 1-1/2 day symposium will highlight the challenging scientific issues that ATLAS has tackled and the technical breakthroughs that made these possible. Then, a forward look at the technical and

  8. Argonne Physics Division - ATLAS

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

    Facility Stable Beams Radioactive Beams CARIBU Beams Floorplan Phone Map Experimental Equipment Control System (internal) The ATLAS Facility ATLAS Operations Group The ATLAS Operations Group. ATLAS (the Argonne Tandem Linac Accelerator System) is the world's first superconducting accelerator for projectiles heavier than the electron. This unique system is a DOE National Collaborative Research Facility open to scientists from all over the world. ATLAS consists of a sequence of machines where each

  9. Argonne Physics Division - ATLAS

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

    Beam Schedule CARIBU Schedule ATLAS Future CARIBU Future Scheduling Considerations ATLAS Archive CARIBU Archive ATLAS Schedules Beamtime at ATLAS is normally scheduled in two-month blocks. We make every effort to produce an accurate schedule at least two weeks prior to its approval in a scheduling meeting. The scheduling process is continuously ongoing with communication between ATLAS personnel and the Principal Investigator (PI) of each experiment approved by the PAC. Follow the link at the

  10. Argonne Physics Division - ATLAS

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

    09 Agenda & Talks FirstAnnouncement SecondAnnouncement Registration Form Registered Participants ATLAS Upgrade Equipment Initiatives Stable Beams Radioactive Beams CARIBU Beams Workshop Reports ATLAS Strategic Plan (2009) CARIBU Proposal Dear ATLAS User, This is the third message regarding the ATLAS workshop of August 8-9, 2009. Information regarding the workshop, including previous announcements can be found at: http://www.phy.anl.gov/atlas/workshop09/index.html IF YOU HAVE NOT REGISTERED

  11. United States Atlas of Renewable Resources

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

    The Atlas is an interactive application of the renewable energy resources in the contiguous United States, Alaska and Hawaii. It illustrates the geographic distribution of wind, solar, geothermal, and biomass resources, as well as other pertinent information such as transportation network and administrative boundaries.[Copied from http://www.nrel.gov/gis/maps.html

  12. Numeric-modeling sensitivity analysis of the performance of wind turbine arrays

    SciTech Connect (OSTI)

    Lissaman, P.B.S.; Gyatt, G.W.; Zalay, A.D.

    1982-06-01

    An evaluation of the numerical model created by Lissaman for predicting the performance of wind turbine arrays has been made. Model predictions of the wake parameters have been compared with both full-scale and wind tunnel measurements. Only limited, full-scale data were available, while wind tunnel studies showed difficulties in representing real meteorological conditions. Nevertheless, several modifications and additions have been made to the model using both theoretical and empirical techniques and the new model shows good correlation with experiment. The larger wake growth rate and shorter near wake length predicted by the new model lead to reduced interference effects on downstream turbines and hence greater array efficiencies. The array model has also been re-examined and now incorporates the ability to show the effects of real meteorological conditions such as variations in wind speed and unsteady winds. The resulting computer code has been run to show the sensitivity of array performance to meteorological, machine, and array parameters. Ambient turbulence and windwise spacing are shown to dominate, while hub height ratio is seen to be relatively unimportant. Finally, a detailed analysis of the Goodnoe Hills wind farm in Washington has been made to show how power output can be expected to vary with ambient turbulence, wind speed, and wind direction.

  13. Analysis of Wind Turbine Simulation Models: Assessment of Simplified versus Complete Methodologies: Preprint

    SciTech Connect (OSTI)

    Honrubia-Escribano, A.; Jimenez-Buendia, F.; Molina-Garcia, A.; Fuentes-Moreno, J. A.; Muljadi, Eduard; Gomez-Lazaro, E.

    2015-09-14

    This paper presents the current status of simplified wind turbine models used for power system stability analysis. This work is based on the ongoing work being developed in IEC 61400-27. This international standard, for which a technical committee was convened in October 2009, is focused on defining generic (also known as simplified) simulation models for both wind turbines and wind power plants. The results of the paper provide an improved understanding of the usability of generic models to conduct power system simulations.

  14. Sensitivity Analysis of Wind Plant Performance to Key Turbine Design Parameters: A Systems Engineering Approach; Preprint

    SciTech Connect (OSTI)

    Dykes, K.; Ning, A.; King, R.; Graf, P.; Scott, G.; Veers, P.

    2014-02-01

    This paper introduces the development of a new software framework for research, design, and development of wind energy systems which is meant to 1) represent a full wind plant including all physical and nonphysical assets and associated costs up to the point of grid interconnection, 2) allow use of interchangeable models of varying fidelity for different aspects of the system, and 3) support system level multidisciplinary analyses and optimizations. This paper describes the design of the overall software capability and applies it to a global sensitivity analysis of wind turbine and plant performance and cost. The analysis was performed using three different model configurations involving different levels of fidelity, which illustrate how increasing fidelity can preserve important system interactions that build up to overall system performance and cost. Analyses were performed for a reference wind plant based on the National Renewable Energy Laboratory's 5-MW reference turbine at a mid-Atlantic offshore location within the United States.

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

    SciTech Connect (OSTI)

    Peters, Valerie A.; Ogilvie, Alistair B.

    2012-01-01

    This report addresses the general data requirements for reliability analysis of fielded wind turbines and other wind plant equipment. The report provides a rationale for why this data should be collected, a list of the data needed to support reliability and availability analysis, and specific data 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 operating wind turbines. This report is intended to help develop a basic understanding of the data needed for reliability analysis from a Computerized Maintenance Management System (CMMS) and other data systems. The report provides a rationale for why this data should be collected, a list of the data needed to support reliability and availability analysis, and 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 analysis and reporting needs. The 'Motivation' section of this report provides a rationale for collecting and analyzing field data for reliability analysis. The benefits of this type of effort can include increased energy delivered, decreased operating costs, enhanced preventive maintenance schedules, solutions to issues with the largest payback, and identification of early failure indicators.

  16. Renewable Energy Atlas of the United States

    SciTech Connect (OSTI)

    Kuiper, J.; Hlava, K.; Greenwood, H.; Carr, A.

    2013-12-13

    The Renewable Energy Atlas (Atlas) of the United States is a compilation of geospatial data focused on renewable energy resources, federal land ownership, and base map reference information. This report explains how to add the Atlas to your computer and install the associated software. The report also includes: A description of each of the components of the Atlas; Lists of the Geographic Information System (GIS) database content and sources; and A brief introduction to the major renewable energy technologies. The Atlas includes the following: A GIS database organized as a set of Environmental Systems Research Institute (ESRI) ArcGIS Personal GeoDatabases, and ESRI ArcReader and ArcGIS project files providing an interactive map visualization and analysis interface.

  17. North Wind Power Company 2-kilowatt high-reliability wind system. Phase I. Design and analysis. Technical report

    SciTech Connect (OSTI)

    Mayer, D J; Norton, Jr, J H

    1981-07-01

    Results are presented of Phase I of a program to design a 2kW high reliability wind turbine for use in remote locations and harsh environments. In phase I of the program, a predecessor of the proposed design was procured and tested in a wind tunnel and in the freestream to observe operational characteristics. An analytical procedure was developed for designing and modelling the proposed variable axis rotor control system (VARCS). This was then verified by extensive mobile testing of pre-prototype components. A low speed three phase alternator with a Lundel type rotor was designed. Prototypes were fabricated and tested to refine calculation procedures and develop an effective alternator with appropriate characteristics. A solid state field switching regulator was designed and tested successfully. All necessary support elements were designed and engineered. A complete analysis of system reliability was conducted including failure mode and effects analyses and reliability, maintenance and safety analyses. Cost estimates were performed for a mature product in production rates of 1000 per year. Analysis and testing conducted throughout the first phase is included.

  18. Argonne Physics Division - ATLAS

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

    Experiment Safety Considerations at ATLAS For onsite emergencies, call 911 on the internal phones (or 252-1911 on cell phones) Equipment Safety Reviews are required whenever new equipment is brought in for an experiment. The review is conducted by the Physics Division safety committee. If you plan to bring in your own detectors or other equipment for an experiment, it will need to reviewed. If a safety review is required for your equipment, you will need to fill out a Hazard Analysis form. Forms

  19. Argonne Physics Division - ATLAS

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

    April 22-23, 2011 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are...

  20. Argonne Physics Division - ATLAS

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

    April 2-3, 2010 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are...

  1. Argonne Physics Division - ATLAS

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

    Future ATLAS Schedule Please contact Mrs. Barbara Weller (bweller@anl.gov) or go to here for your travel arrangement as far in advance of your arrival as possible. Future ATLAS Schedule

  2. Argonne Physics Division - ATLAS

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

    ATLAS Data Management Plan This information is provided to inform users of the data management policies of ATLAS. All proposals for funding to the Office of Science require a data management plan. The Principal Investigator (PI) of any experiment performed at ATLAS is the owner of the data produced in his/her specific experiment. In this capacity, the PI is the main point of contact for all aspects of an experiment including data handling and storage, record keeping, etc. ATLAS Users who

  3. Argonne Physics Division - ATLAS

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

    Training Requirements for ATLAS Users All ATLAS Users must fulfill certain training requirements before they are allowed to have unescorted access to the ATLAS facility. These requirements are: Argonne Radiation Worker I Training ATLAS Site Specific Safety Training These training courses are computer based and will need to be completed every two years. The material covered in the training and the tests that must be completed with passing scores of 80% are available only on computers in the

  4. Argonne Physics Division - ATLAS

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

    The ATLAS User Group Executive Committee The current membership of the ATLAS User Group Executive Committee is: Dan Bardayan University of Notre Dame dbardaya@nd.edu Catherine Deibel Louisiana State University deibel@lsu.edu Nicholas Scielzo (chair) Lawrence Livermore National Lab scielzo1@llnl.gov Alan Wuosmaa University of Connecticut alan.wuosmaa@uconn.edu The ATLAS User Group Charter: The ATLAS User Group shall be formed from the members of the nuclear physics, nuclear chemistry and atomic

  5. U.S. Wind Energy Manufacturing and Supply Chain: A Competitiveness Analysis

    SciTech Connect (OSTI)

    Fullenkamp, Patrick H; Holody, Diane S

    2014-06-15

    The goal of the project was to develop a greater understanding of the key factors determining wind energy component manufacturing costs and pricing on a global basis in order to enhance the competitiveness of U.S. manufacturers, and to reduce installed systems cost. Multiple stakeholders including DOE, turbine OEMs, and large component manufactures will all benefit by better understanding the factors determining domestic competitiveness in the emerging offshore and next generation land-based wind industries. Major objectives of this project were to: 1. Carry out global cost and process comparisons for 5MW jacket foundations, blades, towers, and permanent magnet generators; 2. Assess U.S. manufacturers’ competitiveness and potential for cost reduction; 3. Facilitate informed decision-making on investments in U.S. manufacturing; 4. Develop an industry scorecard representing the readiness of the U.S. manufacturers’ to produce components for the next generations of wind turbines, nominally 3MW land-based and 5MW offshore; 5. Disseminate results through the GLWN Wind Supply Chain GIS Map, a free website that is the most comprehensive public database of U.S. wind energy suppliers; 6. Identify areas and develop recommendations to DOE on potential R&D areas to target for increasing domestic manufacturing competitiveness, per DOE’s Clean Energy Manufacturing Initiative (CEMI). Lists of Deliverables 1. Cost Breakdown Competitive Analyses of four product categories: tower, jacket foundation, blade, and permanent magnet (PM) generator. The cost breakdown for each component includes a complete Bill of Materials with net weights; general process steps for labor; and burden adjusted by each manufacturer for their process categories of SGA (sales general and administrative), engineering, logistics cost to a common U.S. port, and profit. 2. Value Stream Map Competitiveness Analysis: A tool that illustrates both information and material flow from the point of getting a customer order at the manufacturing plant; to the orders being forwarded by the manufacturing plant to the material suppliers; to the material being received at the manufacturing plant and processed through the system; to the final product being shipped to the Customer. 3. Competitiveness Scorecard: GLWN developed a Wind Industry Supply Chain Scorecard that reflects U.S. component manufacturers’ readiness to supply the next generation wind turbines, 3MW and 5MW, for land-based and offshore applications. 4. Wind Supply Chain Database & Map: Expand the current GLWN GIS Wind Supply Chain Map to include offshore elements. This is an on-line, free access, wind supply chain map that provides a platform for identifying active and emerging suppliers for the land-based and offshore wind industry, including turbine component manufacturers and wind farm construction service suppliers.

  6. Depth profiling analysis of solar wind helium collected in diamond-like carbon film from Genesis

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

    Bajo, Ken-ichi; Olinger, Chad T.; Jurewicz, Amy J.G.; Burnett, Donald S.; Sakaguchi, Isao; Suzuki, Taku; Itose, Satoru; Ishihara, Morio; Uchino, Kiichiro; Wieler, Rainer; et al

    2015-10-01

    The distribution of solar-wind ions in Genesis mission collectors, as determined by depth profiling analysis, constrains the physics of ion solid interactions involving the solar wind. Thus, they provide an experimental basis for revealing ancient solar activities represented by solar-wind implants in natural samples. We measured the first depth profile of ⁴He in a collector; the shallow implantation (peaking at <20 nm) required us to use sputtered neutral mass spectrometry with post-photoionization by a strong field. The solar wind He fluence calculated using depth profiling is ~8.5 x 10¹⁴ cm⁻². The shape of the solar wind ⁴He depth profile ismore » consistent with TRIM simulations using the observed ⁴He velocity distribution during the Genesis mission. It is therefore likely that all solar-wind elements heavier than H are completely intact in this Genesis collector and, consequently, the solar particle energy distributions for each element can be calculated from their depth profiles. Ancient solar activities and space weathering of solar system objects could be quantitatively reproduced by solar particle implantation profiles.« less

  7. Solar wind conditions leading to efficient radiation belt electron acceleration: A superposed epoch analysis

    SciTech Connect (OSTI)

    Li, W.; Thorne, R. M.; Bortnik, J.; Baker, D. N.; Reeves, G. D.; Kanekal, S. G.; Spence, H. E.; Green, J. C.

    2015-09-07

    In this study by determining preferential solar wind conditions leading to efficient radiation belt electron acceleration is crucial for predicting radiation belt electron dynamics. Using Van Allen Probes electron observations (>1 MeV) from 2012 to 2015, we identify a number of efficient and inefficient acceleration events separately to perform a superposed epoch analysis of the corresponding solar wind parameters and geomagnetic indices. By directly comparing efficient and inefficient acceleration events, we clearly show that prolonged southward Bz, high solar wind speed, and low dynamic pressure are critical for electron acceleration to >1 MeV energies in the heart of the outer radiation belt. We also evaluate chorus wave evolution using the superposed epoch analysis for the identified efficient and inefficient acceleration events and find that chorus wave intensity is much stronger and lasts longer during efficient electron acceleration events, supporting the scenario that chorus waves play a key role in MeV electron acceleration.

  8. Argonne Physics Division - ATLAS

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

    The ATLAS Program Advisory Committee (PAC) Since ATLAS is a National User Facility and available for experiments to anyone in the world, all experiments to be performed at ATLAS must be reviewed and approved by the ATLAS PAC. The PAC consists of 5-7 internationally recognized nuclear physicists, most of whom come from outside Argonne. The PAC members are appointed by the Scientific Director of ATLAS and typically serve for a term of two years. The PAC normally meets twice per year. At roughly

  9. Argonne Physics Division - ATLAS

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

    This is the second announcement of the ATLAS User Group Meeting that will take place on August 8-9, 2009. As stated in our original message (http://www.phy.anl.gov/atlas/workshop09/FirstAnnouncement.html), the workshop will be an opportunity to: (1) update everyone on the new capabilities of ATLAS and (2) refine the vision of the future of ATLAS. It is essential that this workshop be attended by as many users as possible as it will define the very future of the facility. In other words, if ATLAS

  10. Renewable energy atlas of the United States.

    SciTech Connect (OSTI)

    Kuiper, J.A.; Hlava, K.Greenwood, H.; Carr, A.

    2012-05-01

    The Renewable Energy Atlas (Atlas) of the United States is a compilation of geospatial data focused on renewable energy resources, federal land ownership, and base map reference information. It is designed for the U.S. Department of Agriculture Forest Service (USFS) and other federal land management agencies to evaluate existing and proposed renewable energy projects. Much of the content of the Atlas was compiled at Argonne National Laboratory (Argonne) to support recent and current energy-related Environmental Impact Statements and studies, including the following projects: (1) West-wide Energy Corridor Programmatic Environmental Impact Statement (PEIS) (BLM 2008); (2) Draft PEIS for Solar Energy Development in Six Southwestern States (DOE/BLM 2010); (3) Supplement to the Draft PEIS for Solar Energy Development in Six Southwestern States (DOE/BLM 2011); (4) Upper Great Plains Wind Energy PEIS (WAPA/USFWS 2012, in progress); and (5) Energy Transport Corridors: The Potential Role of Federal Lands in States Identified by the Energy Policy Act of 2005, Section 368(b) (in progress). This report explains how to add the Atlas to your computer and install the associated software; describes each of the components of the Atlas; lists the Geographic Information System (GIS) database content and sources; and provides a brief introduction to the major renewable energy technologies.

  11. A sensitivity analysis of the treatment of wind energy in the AEO99 version of NEMS

    SciTech Connect (OSTI)

    Osborn, Julie G; Wood, Frances; Richey, Cooper; Sanders, Sandy; Short, Walter; Koomey, Jonathan

    2001-01-01

    Each year, the U.S. Department of Energy's Energy Information Administration (EIA) publishes a forecast of the domestic energy economy in the Annual Energy Outlook (AEO). During the forecast period of the AEO (currently through 2020), renewable energy technologies have typically not achieved significant growth. The contribution of renewable technologies as electric generators becomes more important, however, in scenarios analyzing greenhouse gas emissions reductions or significant technological advancements. We examined the economic assumptions about wind power used for producing forecasts with the National Energy Modeling System (NEMS) to determine their influence on the projected capacity expansion of this technology. This analysis should help illustrate to policymakers what types of issues may affect wind development, and improve the general understanding of the NEMS model itself. Figure 1 illustrates the model structure and factors relevant to wind deployment. We found that NEMS uses various cost multipliers and constraints to represent potential physical and economic limitations to growth in wind capacity, such as resource depletion, costs associated with rapid manufacturing expansion, and grid stability with high levels of capacity from intermittent resources. The model's flexibility allows the user to make alternative assumptions about the magnitude of these factors. While these assumptions have little effect on the Reference Case forecast for the 1999 edition of the AEO, they can make a dramatic difference when wind is more attractive, such as under a carbon permit trading system. With $100/ton carbon permits, the wind capacity projection for 2020 ranges from 15 GW in the unaltered model (AEO99 Reference Case) to 168 GW in the extreme case when all the multipliers and constraints examined in this study are removed. Furthermore, if modifications are made to the model allowing inter-regional transmission of electricity, wind capacity is forecast to reach 214 GW when all limitations are removed. The figures in the upper end of these ranges are not intended to be viewed as reasonable projections, but their magnitude illustrates the importance of the parameters governing the growth of wind capacity and resource availability in forecasts using NEMS. In addition, many uncertainties exist regarding these assumptions that potentially affect the growth of wind power. We suggest several areas in which to focus future research in order to better model the potential development of this resource. Because many of the assumptions related to wind in the model are also used for other renewable technologies, these suggestions could be applied to other renewable resources as well.

  12. Simulation-Length Requirements in the Loads Analysis of Offshore Floating Wind Turbines: Preprint

    SciTech Connect (OSTI)

    Haid, L.; Stewart, G.; Jonkman, J.; Robertson, A.; Lackner, M.; Matha, D.

    2013-06-01

    The goal of this paper is to examine the appropriate length of a floating offshore wind turbine (FOWT) simulation - a fundamental question that needs to be answered to develop design requirements. To examine this issue, a loads analysis of an example FOWT was performed in FAST with varying simulation lengths. The offshore wind system used was the OC3-Hywind spar buoy, which was developed for use in the International Energy Agency Code Comparison Collaborative Project and supports NREL's offshore 5-megawatt baseline turbine. Realistic metocean data from the National Oceanic and Atmospheric Administration and repeated periodic wind files were used to excite the structure. The results of the analysis clearly show that loads do not increase for longer simulations. In regards to fatigue, a sensitivity analysis shows that the procedure used for counting half cycles is more important than the simulation length itself. Based on these results, neither the simulation length nor the periodic wind files affect response statistics and loads for FOWTs (at least for the spar studied here); a result in contrast to the offshore oil and gas industry, where running simulations of at least 3 hours in length is common practice.

  13. NREL Releases BioEnergy Atlas - a Comprehensive Biomass Mapping

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

    Application - News Releases | NREL NREL Releases BioEnergy Atlas - a Comprehensive Biomass Mapping Application September 28, 2010 BioEnergy Atlas, a Web portal that provides access to two bioenergy analysis and mapping tools, was released today by the U.S. Department of Energy's National Renewable Energy Laboratory (NREL). The visualization screening tools, BioPower and BioFuels Atlas, allow users to layer related bioenergy data onto a single map to gather information on biomass feedstocks,

  14. SMART Wind Turbine Rotor: Data Analysis and Conclusions

    SciTech Connect (OSTI)

    Berg, Jonathan C.; Barone, Matthew F.; Yoder, Nathanael C.

    2014-01-29

    This report documents the data post-processing and analysis performed to date on the field test data. Results include the control capability of the trailing edge flaps, the combined structural and aerodynamic damping observed through application of step actuation with ensemble averaging, direct observation of time delays associated with aerodynamic response, and techniques for characterizing an operating turbine with active rotor control.

  15. RE Atlas | Open Energy Information

    Open Energy Info (EERE)

    RE Atlas Jump to: navigation, search Tool Summary LAUNCH TOOL Name: RE Atlas AgencyCompany Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Renewable...

  16. Variance Analysis of Wind and Natural Gas Generation under Different Market Structures: Some Observations

    SciTech Connect (OSTI)

    Bush, B.; Jenkin, T.; Lipowicz, D.; Arent, D. J.; Cooke, R.

    2012-01-01

    Does large scale penetration of renewable generation such as wind and solar power pose economic and operational burdens on the electricity system? A number of studies have pointed to the potential benefits of renewable generation as a hedge against the volatility and potential escalation of fossil fuel prices. Research also suggests that the lack of correlation of renewable energy costs with fossil fuel prices means that adding large amounts of wind or solar generation may also reduce the volatility of system-wide electricity costs. Such variance reduction of system costs may be of significant value to consumers due to risk aversion. The analysis in this report recognizes that the potential value of risk mitigation associated with wind generation and natural gas generation may depend on whether one considers the consumer's perspective or the investor's perspective and whether the market is regulated or deregulated. We analyze the risk and return trade-offs for wind and natural gas generation for deregulated markets based on hourly prices and load over a 10-year period using historical data in the PJM Interconnection (PJM) from 1999 to 2008. Similar analysis is then simulated and evaluated for regulated markets under certain assumptions.

  17. Argonne Physics Division - ATLAS

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

    Scheduling Considerations Beamtime at ATLAS is normally scheduled in two-month blocks. We make every effort to produce an accurate schedule at least two weeks prior to its approval in a scheduling meeting. The scheduling process is continuously ongoing with communication between ATLAS personnel and the Principal Investigator (PI) of each experiment approved by the PAC. The overriding consideration in developing the ATLAS schedule is to optimize the productive use of beam time. This involves

  18. Argonne Physics Division - ATLAS

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

    Proposed ATLAS efficiency and intensity upgrade Guy Savard and Robert V. F. Janssens June 12, 2009 The ATLAS facility is on a constant quest to improve and increase the capabilities it offers to its Users. ATLAS currently provides beams of essentially all stable isotopes at energies in the vicinity of the Coulomb barrier. These can be used in conjunction with a suite of state-of-the-art instruments such as Gammasphere, the Fragment Mass Analyzer (FMA), the Canadian Penning Trap mass spectrometer

  19. Argonne Physics Division - ATLAS

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

    The ATLAS User Program - Visitor Information Site Access: Researchers who plan to come to Argonne for an ATLAS experiment are required to complete certain forms. All ATLAS Users need to have a Guest Facilities User Agreement completed and signed (click here). The amount of lead time needed and complexity involved will depend on their status. In any case, Users should contact either Mrs. Barbara Weller (bweller@anl.gov) or the ATLAS User Liaison Physicist, Shaofei Zhu (zhu@anl.gov) as far in

  20. Argonne Physics Division - ATLAS

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

    PAC and Proposals Call for Proposals PAC Members Proposal Info Approved Experiments ATLAS Proposal Submission A call for ATLAS Proposals is made 2-3 times per year, depending on the backlog of approved experiments and the available beam time. The formal call for proposals will be issued by e-mail to our list of ATLAS Users approximately two months prior to the PAC meeting. To join the list of ATLAS Users and receive the call for proposals anouncements, please contact Ms. Barbara Weller at

  1. Argonne Physics Division - ATLAS

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

    14 First Announcement SecondAnnouncement Registration Form Questionnaires Agenda Equipment Initiatives AGFA AIRIS.pdf CHICO2 DGS.pdf FMA GODDESS GRETINA HELIOS PhoswichWall TapeStation ATLAS Strategic Plan (2009) ATLAS Strategic Plan (2014) Registered Participants ATLAS USERS MEETING: AGENDA May 15-16, 2014 Bldg 203, Auditoium Thursday May 15 8:00 – 8:15 Registration & Coffee 8:15 – 8:30 Welcome & introduction to the meeting (A. Wuosmaa, R.V.F. Janssens) ATLAS/CARIBU Building

  2. NASTRAN-based computer program for structural dynamic analysis of horizontal axis wind turbines

    SciTech Connect (OSTI)

    Lobitz, D.W.

    1984-01-01

    This paper describes a computer program developed for structural dynamic analysis of horizontal axis wind turbines (HAWTs). It is based on the finite element method through its reliance on NASTRAN for the development of mass, stiffness, and damping matrices of the tower and rotor, which are treated in NASTRAN as separate structures. The tower is modeled in a stationary frame and the rotor in one rotating at a constant angular velocity. The two structures are subsequently joined together (external to NASTRAN) using a time-dependent transformation consistent with the hub configuration. Aerodynamic loads are computed with an established flow model based on strip theory. Aeroelastic effects are included by incorporating the local velocity and twisting deformation of the blade in the load computation. The turbulent nature of the wind, both in space and time, is modeled by adding in stochastic wind increments. The resulting equations of motion are solved in the time domain using the implicit Newmark-Beta integrator. Preliminary comparisons with data from the Boeing/NASA MOD2 HAWT indicate that the code is capable of accurately and efficiently predicting the response of HAWTs driven by turbulent winds.

  3. Analysis of Transportation and Logistics Challenges Affecting the Deployment of Larger Wind Turbines: Summary of Results

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

    Analysis of Transportation and Logistics Challenges Affecting the Deployment of Larger Wind Turbines: Summary of Results J. Cotrell, T. Stehly, J. Johnson, J. O. Roberts, Z. Parker, G. Scott, and D. Heimiller Technical Report NREL/TP-5000-61063 January 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy

  4. Initial Economic Analysis of Utility-scale Wind Integration in Hawaii, NREL (National Renewable Energy Laboratory)

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

    and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. INITIAL ECONOMIC ANALYSIS OF UTILITY-SCALE WIND INTEGRATION IN HAWAII NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any informa-

  5. Ewiiaapaayp Band of Kumeyaay Indians - Wind Meteorological Tower Deployment and Data Measurement and Analysis

    Office of Environmental Management (EM)

    Band of Kumeyaay Indians Meteorlogical Tower Deployment and Data Measurement and Analysis Ewiiaapaayp Indian Reservation * The Ewiiaapaayp Reservation is divided between the 4,542.5-acre land parcel near Mt. Laguna that is approximately 47 miles east of San Diego and 19 miles east of Alpine, and the 10-acre land parcel at 4054/4058 Willows Road in Alpine, CA, an unincorporated community of east San Diego County. The Project * The Tribe continues its assessment of its wind resource and

  6. BNL ATLAS Grid Computing

    ScienceCinema (OSTI)

    Michael Ernst

    2010-01-08

    As the sole Tier-1 computing facility for ATLAS in the United States and the largest ATLAS computing center worldwide Brookhaven provides a large portion of the overall computing resources for U.S. collaborators and serves as the central hub for storing,

  7. Atlas Material Testing Solutions | Open Energy Information

    Open Energy Info (EERE)

    Atlas Material Testing Solutions Jump to: navigation, search Name: Atlas Material Testing Solutions Place: Chicago, IL Zip: 60613 Website: atlas-mts.com Coordinates: 41.9529209,...

  8. The Impact of Wind Power Projects on Residential Property Values in the United States: A Multi-Site Hedonic Analysis

    SciTech Connect (OSTI)

    Hoen, Ben; Wiser, Ryan; Cappers, Peter; Thayer, Mark; Sethi, Gautam

    2009-12-01

    This report uses statistical analysis to evaluate the impact of wind power projects on property values, and fails to uncovers conclusive evidence of the existence of any widespread property value impacts.

  9. NREL: Innovation Impact - Wind

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

    Wind Energy Menu Home Home Solar Solar Wind Wind Analysis Analysis Bioenergy Bioenergy Buildings Buildings Transportation Transportation Manufacturing Manufacturing Energy Systems Integration Energy Systems Integration Wind turbines must withstand powerful aerodynamic forces unlike any other propeller-drive machines. Close NREL's work with industry has improved the efficiency and durability of turbine blades and gearboxes. Innovations include: Specialized airfoils Variable-speed turbines

  10. Solar wind conditions leading to efficient radiation belt electron acceleration: A superposed epoch analysis

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

    Li, W.; Thorne, R. M.; Bortnik, J.; Baker, D. N.; Reeves, G. D.; Kanekal, S. G.; Spence, H. E.; Green, J. C.

    2015-09-07

    In this study by determining preferential solar wind conditions leading to efficient radiation belt electron acceleration is crucial for predicting radiation belt electron dynamics. Using Van Allen Probes electron observations (>1 MeV) from 2012 to 2015, we identify a number of efficient and inefficient acceleration events separately to perform a superposed epoch analysis of the corresponding solar wind parameters and geomagnetic indices. By directly comparing efficient and inefficient acceleration events, we clearly show that prolonged southward Bz, high solar wind speed, and low dynamic pressure are critical for electron acceleration to >1 MeV energies in the heart of the outermore » radiation belt. We also evaluate chorus wave evolution using the superposed epoch analysis for the identified efficient and inefficient acceleration events and find that chorus wave intensity is much stronger and lasts longer during efficient electron acceleration events, supporting the scenario that chorus waves play a key role in MeV electron acceleration.« less

  11. Model Development and Loads Analysis of a Wind Turbine on a Floating Offshore Tension Leg Platform

    SciTech Connect (OSTI)

    Matha, D.; Fischer, T.; Kuhn, M.; Jonkman, J.

    2010-02-01

    This report presents results of the analysis of a 5-MW wind turbine located on a floating offshore tension leg platform (TLP) that was conducted using the fully coupled time-domain aero-hydro-servo-elastic design code FAST with AeroDyn and HydroDyn. Models in this code are of greater fidelity than most of the models that have been used to analyze floating turbines in the past--which have neglected important hydrodynamic and mooring system effects. The report provides a description of the development process of a TLP model, which is a modified version of a Massachusetts Institute of Technology design derived from a parametric linear frequency-domain optimization process. An extensive loads and stability analysis for ultimate and fatigue loads according to the procedure of the International Electrotechnical Commission offshore wind turbine design standard was performed with the verified TLP model. Response statistics, extreme event tables, fatigue lifetimes, and selected time histories of design-driving extreme events are analyzed and presented. Loads for the wind turbine on the TLP are compared to those of an equivalent land-based turbine in terms of load ratios. Major instabilities for the TLP are identified and described.

  12. Analysis of Cycling Costs in Western Wind and Solar Integration Study

    SciTech Connect (OSTI)

    Jordan, G.; Venkataraman, S.

    2012-06-01

    The Western Wind and Solar Integration Study (WWSIS) examined the impact of up to 30% penetration of variable renewable generation on the Western Electricity Coordinating Council system. Although start-up costs and higher operating costs because of part-load operation of thermal generators were included in the analysis, further investigation of additional costs associated with thermal unit cycling was deemed worthwhile. These additional cycling costs can be attributed to increases in capital as well as operations and maintenance costs because of wear and tear associated with increased unit cycling. This analysis examines the additional cycling costs of the thermal fleet by leveraging the results of WWSIS Phase 1 study.

  13. Philippine Wind Farm Analysis and Site Selection Analysis, 1 January 2000 - 31 December 2000

    SciTech Connect (OSTI)

    Conover, K.

    2001-12-01

    The U.S. Department of Energy (DOE), through the National Renewable Energy Laboratory (NREL), has been working in partnership with the U.S. Agency for International Development (USAID) in an ongoing process to quantify the Philippine wind energy potential and foster wind farm development. As part of that process, NREL retained Global Energy Concepts, LLC (GEC) to review and update the policy needs as well as develop a site-screening process applicable for the Philippines. GEC worked closely with the Philippines National Power Corporation (NPC) in completing this work. This report provides the results of the policy needs and site selection analyses conducted by GEC.

  14. Argonne Physics Division - ATLAS

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

    Radiation Safety at ATLAS For onsite emergencies, call 911 on the internal phones (or 630-252-1911 on cell phones) Safety Aspects of radiation safety at ATLAS: Health Physics Coverage at ATLAS is provided by Argonne National Laboratory. Health Physics personnel must be notified if there is a possible contamination incident, or if target and/or detectors are to be removed from a beam line following an experiment. HP Contact information: Angel Garcia (HP Technician): 2-9179 (4-1352 pager) Dave

  15. Argonne Physics Division - ATLAS

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

    The purpose of this note is to announce an important workshop for the ATLAS users to be held at Argonne National Laboratory on AUGUST 8 and 9, 2009. As you are aware, major changes are in store for the ATLAS facility. First, the Energy Upgrade and the CARIBU (CAlifornium Rare Ion Breeder Upgrade) projects are nearing completion. In addition, the role of ATLAS for the low-energy nuclear physics community needs to be revisited in light of the decision to site the Facility for Rare Isotope Beams

  16. Argonne Physics Division - ATLAS

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

    REGISTRATION FORM Name: First Middle Last Organization: Department: Business Address: Street City State Zip Country Business Phone: Fax: E-mail: Citizenship: Additional information is needed for on-site access for non-US citizens who are not ATLAS Users. To download the form as a word document or pdf file, please go to the ATLAS user website (http://www.phy.anl.gov/atlas/users/visitor_info.html). Please return information to Barbara Weller by July 10, 2009. REGISTRATION Fees (If paying by check,

  17. Wind-electric icemaking project: Analysis and dynamometer testing. Volume 1

    SciTech Connect (OSTI)

    Holz, R.; Gervorgian, V.; Drouilhet, S.; Muljadi, E.

    1998-07-01

    The wind/hybrid systems group at the National Renewable Energy Laboratory has been researching the most practical and cost-effective methods for producing ice from off-grid wind-electric power systems. The first phase of the project, conducted in 1993--1994, included full-scale dynamometer and field testing of two different electric ice makers directly connected to a permanent magnet alternator. The results of that phase were encouraging and the second phase of the project was launched in which steady-state and dynamic numerical models of these systems were developed and experimentally validated. The third phase of the project was the dynamometer testing of the North Star ice maker, which is powered by a 12-kilowatt Bergey Windpower Company, Inc., alternator. This report describes both the second and third project phases. Also included are detailed economic analyses and a discussion of the future prospects of wind-electric ice-making systems. The main report is contained in Volume 1. Volume 2 consists of the report appendices, which include the actual computer programs used in the analysis and the detailed test results.

  18. Analysis of Debris Trajectories at the Scaled Wind Farm Technology (SWiFT) Facility

    SciTech Connect (OSTI)

    White, Jonathan R.; Burnett, Damon J.

    2016-01-01

    Sandia National Laboratories operates the Scaled Wind Farm Technology Facility (SWiFT) on behalf of the Department of Energy Wind and Water Power Technologies Office. An analysis was performed to evaluate the hazards associated with debris thrown from one of SWiFT’s operating wind turbines, assuming a catastrophic failure. A Monte Carlo analysis was conducted to assess the complex variable space associated with debris throw hazards that included wind speed, wind direction, azimuth and pitch angles of the blade, and percentage of the blade that was separated. In addition, a set of high fidelity explicit dynamic finite element simulations were performed to determine the threshold impact energy envelope for the turbine control building located on-site. Assuming that all of the layered, independent, passive and active engineered safety systems and administrative procedures failed (a 100% failure rate of the safety systems), the likelihood of the control building being struck was calculated to be less than 5/10,000 and ballistic simulations showed that the control building would not provide passive protection for the majority of impact scenarios. Although options exist to improve the ballistic resistance of the control building, the recommendation is not to pursue them because there is a low probability of strike and there is an equal likelihood personnel could be located at similar distances in other areas of the SWiFT facility which are not passively protected, while the turbines are operating. A fenced exclusion area has been created around the turbines which restricts access to the boundary of the 1/100 strike probability. The overall recommendation is to neither relocate nor improve passive protection of the control building as the turbine safety systems have been improved to have no less than two independent, redundant, high quality engineered safety systems. Considering this, in combination with a control building strike probability of less than 5/10,000, the overall probability of turbine debris striking the control building is less than 1/1,000,000.

  19. Ramping Performance Analysis of the Kahuku Wind-Energy Battery Storage System

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

    Ramping Performance Analysis of the Kahuku Wind-Energy Battery Storage System V. Gevorgian and D. Corbus Management Report NREL/MP-5D00-59003 November 2013 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National Renewable Energy

  20. ATLAS Metadata Task Force

    SciTech Connect (OSTI)

    ATLAS Collaboration; Costanzo, D.; Cranshaw, J.; Gadomski, S.; Jezequel, S.; Klimentov, A.; Lehmann Miotto, G.; Malon, D.; Mornacchi, G.; Nemethy, P.; Pauly, T.; von der Schmitt, H.; Barberis, D.; Gianotti, F.; Hinchliffe, I.; Mapelli, L.; Quarrie, D.; Stapnes, S.

    2007-04-04

    This document provides an overview of the metadata, which are needed to characterizeATLAS event data at different levels (a complete run, data streams within a run, luminosity blocks within a run, individual events).

  1. A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities on Surrounding Property Values in the United States

    SciTech Connect (OSTI)

    Hoen, Ben; Wiser, Ryan; Cappers, Peter; Brown, Jason P.; Jackson, Thomas; Thayer, Mark A.

    2013-08-21

    This report summarizes a new analysis, building on previously published research, about wind energys effects on residential property values. This study helps fill research gaps by collecting and analyzing data from 27 counties across nine U.S. states, related to 67 different wind facilities, and constructs a pooled model that investigates average effects near the turbines across the sample while controlling for local variables, such as sale prices of nearby homes.

  2. A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities on Surrounding Property Values in the United States

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

    LBNL-6362E ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY A Spatial Hedonic Analysis of the Effects of Wind Energy Facilities on Surrounding Property Values in the United States Ben Hoen, Jason P. Brown, Thomas Jackson, Ryan Wiser, Mark Thayer and Peter Cappers Environmental Energy Technologies Division August 2013 Download from http://emp.lbl.gov/reports/re This work was supported by the Office of Energy Efficiency and Renewable Energy (Wind and Water Power Technologies Office) of the

  3. Argonne Physics Division - ATLAS

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

    Electrical Safety Considerations at ATLAS For onsite emergencies, call 911 on the internal phones (or 252-1911 on cell phones) Electricity will probably present the greatest hazard potential of your visit to Argonne. Argonne and ATLAS have very specific requirements concerning working on or near electrical equipment. This generally means that you cannot work on a piece of equipment if the cover is off and current carrying conductors or components at 50V or greater are exposed. The preferred way

  4. Argonne Physics Division - ATLAS

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

    Experimental Equipment Information There are several major pieces of experimental equipment at ATLAS. These are listed below along with contact information for the system experts: Gammasphere (Mike Carpenter) Fragment Mass Analyzer (Cary Davids or Darek Seweryniak ) Helical Orbit Spectrometer (Birger Back) Enge Split Pole Spectrograph (Ernst Rehm) Canadian Penning Trap (Guy Savard) Large Scattering Chamber (Shaofei Zhu) Atom Trap at ATLAS (Zheng-Tian Lu or Peter Mueller) There are additional

  5. Argonne Physics Division - ATLAS

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

    Equipment Initiatives at ATLAS Birger B. Back June 10, 2009. HELIOS Description: The Helical Orbit Spectrometer (HELIOS) is a novel spectrometer that will enable us to carry out detailed nuclear structure studies via inverse kinematics reactions using re-accelerated, neutron-rich beams from the new CARIBU injector as well as radioactive beams produced by the in-flight method at ATLAS. The spectrometer design has several advantages over conventional techniques using large-area Si detectors. These

  6. Argonne Physics Division - ATLAS

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

    2014 ATLAS User’s Meeting: May 15-16, 2014 Dear Colleagues, The ATLAS accelerator complex at Argonne National Laboratory restarted operation after an extended shutdown to complete its intensity and efficiency upgrade. This upgrade project consisted of a reconfigured injection line and a positive-ion injector that now includes a high-intensity CW RFQ for initial acceleration. In addition, a major reconfiguration of the booster section was also part of the project. A new cryostat with

  7. Argonne Physics Division - ATLAS

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

    Safety General Radiation Electrical Experiment Safety at ATLAS The Management and Staff at ATLAS and Argonne National Laboratory are fully dedicated to integrating safety into all aspects of work at our facilities. We believe that it is completely possible, and absolutely essenital, to carry out effective research programs without compromising safety. Indeed, the process of incorporating safety into accelerator operations and experimental research begins at the earliest stages. All experiments,

  8. Collegiate Wind Competition Wind Tunnel Specifications | Department...

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

    Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Teams competing...

  9. An Exploration of Wind Energy & Wind Turbines

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    This unit, which includes both a pre and post test on wind power engages students by allowing them to explore connections between wind energy and other forms of energy. Students learn about and examine the overall design of a wind turbine and then move forward with an assessment of the energy output as factors involving wind speed, direction and blade design are altered. Students are directed to work in teams to design, test and analyze components of a wind turbine such as blade length, blade shape, height of turbine, etc Student worksheets are included to facilitate the design and analysis process. Learning Goals: Below are the learning targets for the wind energy unit.

  10. NREL: Wind Research - Facilities

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

    Facilities Our facilities are designed to meet the wind industry's critical research needs with state-of-the-art design and testing facilities. NREL's unique and highly versatile facilities at the National Wind Technology Center offer research and analysis of wind turbine components and prototypes rated from 400 watts to 3 megawatts. Satellite facilities support the growth of wind energy development across the United States. National Wind Technology Center Facilities Our facilities are contained

  11. Wind Vision | Department of Energy

    Office of Environmental Management (EM)

    Wind Vision Wind Vision Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era for Wind Power in the United States The Wind Vision report updates the Department of Energy's 2008 20% Wind Energy by 2030 through analysis of scenarios of wind power supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050. With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with

  12. Wind Vision | Department of Energy

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

    Wind Vision Wind Vision Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era for Wind Power in the United States The Wind Vision report updates the Department of Energy's 2008 20% Wind Energy by 2030 through analysis of scenarios of wind power supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050. With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with

  13. Wind Vision | Department of Energy

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

    Wind Vision Wind Vision Wind Vision Introduction U.S. Wind Power Impacts Roadmap Download Wind Vision: A New Era for Wind Power in the United States The Wind Vision report updates the Department of Energy's 2008 20% Wind Energy by 2030 through analysis of scenarios of wind power supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050. With more than 4.5% of the nation's electricity supplied by wind energy today, the Department of Energy has collaborated with

  14. Sandia Energy - Wind Generator Modeling

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

    Wind Generator Modeling Home Infrastructure Security Renewable Energy Energy Surety Energy Grid Integration News Wind Energy News & Events SMART Grid Systems Analysis Modeling...

  15. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison (Presentation)

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B.; Miettinen, J.; Holttinen, H.; Gomez-Lozaro, E.; Cutululis, N.; Litong-Palima, M.; Sorensen, P.; Lovholm, A.; Berge, E.; Dobschinski, J.

    2013-10-01

    This presentation summarizes the work to investigate the uncertainty in wind forecasting at different times of year and compare wind forecast errors in different power systems using large-scale wind power prediction data from six countries: the United States, Finland, Spain, Denmark, Norway, and Germany.

  16. BioPower Atlas and BioFuels Atlas | Open Energy Information

    Open Energy Info (EERE)

    Atlas and BioFuels Atlas Jump to: navigation, search Tool Summary LAUNCH TOOL Name: BioPower Atlas and BioFuels Atlas AgencyCompany Organization: National Renewable Energy...

  17. Depth profiling analysis of solar wind helium collected in diamond-like carbon film from Genesis

    SciTech Connect (OSTI)

    Bajo, Ken-ichi; Olinger, Chad T.; Jurewicz, Amy J.G.; Burnett, Donald S.; Sakaguchi, Isao; Suzuki, Taku; Itose, Satoru; Ishihara, Morio; Uchino, Kiichiro; Wieler, Rainer; Yurimoto, Hisayoshi

    2015-10-01

    The distribution of solar-wind ions in Genesis mission collectors, as determined by depth profiling analysis, constrains the physics of ion solid interactions involving the solar wind. Thus, they provide an experimental basis for revealing ancient solar activities represented by solar-wind implants in natural samples. We measured the first depth profile of ⁴He in a collector; the shallow implantation (peaking at <20 nm) required us to use sputtered neutral mass spectrometry with post-photoionization by a strong field. The solar wind He fluence calculated using depth profiling is ~8.5 x 10¹⁴ cm⁻². The shape of the solar wind ⁴He depth profile is consistent with TRIM simulations using the observed ⁴He velocity distribution during the Genesis mission. It is therefore likely that all solar-wind elements heavier than H are completely intact in this Genesis collector and, consequently, the solar particle energy distributions for each element can be calculated from their depth profiles. Ancient solar activities and space weathering of solar system objects could be quantitatively reproduced by solar particle implantation profiles.

  18. Economic analysis of wind-powered farmhouse and farm building heating systems. Final report

    SciTech Connect (OSTI)

    Stafford, R.W.; Greeb, F.J.; Smith, M.F.; Des Chenes, C.; Weaver, N.L.

    1981-01-01

    The study evaluated the break-even values of wind energy for selected farmhouses and farm buildings focusing on the effects of thermal storage on the use of WECS production and value. Farmhouse structural models include three types derived from a national survey - an older, a more modern, and a passive solar structure. The eight farm building applications that were analyzed include: poultry-layers, poultry-brooding/layers, poultry-broilers, poultry-turkeys, swine-farrowing, swine-growing/finishing, dairy, and lambing. These farm buildings represent the spectrum of animal types, heating energy use, and major contributions to national agricultural economic values. All energy analyses were based on hour-by-hour computations which allowed for growth of animals, sensible and latent heat production, and ventilation requirements. Hourly or three-hourly weather data obtained from the National Climatic Center was used for the nine chosen analysis sites, located throughout the United States and corresponding to regional agricultural production centers.

  19. NETL NATCARB - Atlas | netl.doe.gov

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

    NATCARB/Atlas Carbon Storage Atlas - Fifth Edition (Atlas V) (2015) Carbon Storage Atlas The primary purpose of the U.S. Department of Energy (DOE) Carbon Storage Atlas is to provide a coordinated update of carbon capture and storage (CCS) potential across the United States and other portions of North America. DOE has released five versions of the atlas with the most recent, "DOE's Carbon Storage Atlas - Fifth Edition (Atlas V)," made publicly available in August 2015. Atlas V contains

  20. Analysis of the value of battery storage with wind and photovoltaic generation to the Sacramento Municipal Utility District

    SciTech Connect (OSTI)

    Zaininger, H.W. [Zaininger Engineering Co., Inc., Roseville, CA (United States)

    1998-08-01

    This report describes the results of an analysis to determine the economic and operational value of battery storage to wind and photovoltaic (PV) generation technologies to the Sacramento Municipal Utility District (SMUD) system. The analysis approach consisted of performing a benefit-cost economic assessment using established SMUD financial parameters, system expansion plans, and current system operating procedures. This report presents the results of the analysis. Section 2 describes expected wind and PV plant performance. Section 3 describes expected benefits to SMUD associated with employing battery storage. Section 4 presents preliminary benefit-cost results for battery storage added at the Solano wind plant and the Hedge PV plant. Section 5 presents conclusions and recommendations resulting from this analysis. The results of this analysis should be reviewed subject to the following caveat. The assumptions and data used in developing these results were based on reports available from and interaction with appropriate SMUD operating, planning, and design personnel in 1994 and early 1995 and are compatible with financial assumptions and system expansion plans as of that time. Assumptions and SMUD expansion plans have changed since then. In particular, SMUD did not install the additional 45 MW of wind that was planned for 1996. Current SMUD expansion plans and assumptions should be obtained from appropriate SMUD personnel.

  1. Argonne Physics Division - ATLAS

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

    Dear Friend, Please, mark the dates of Friday October 22 and Saturday October 23, 2010! We are planning a symposium to celebrate the 25th anniversary of the dedication of ATLAS which took place on June 25, 1985. ATLAS was the world's first superconducting linac for ions. Since its dedication as a National User Facility, more than a thousand experiments by well over 2000 users world-wide, have taken advantage of the unique capabilities it provides. The 1-1/2 day symposium will highlight the

  2. Argonne Physics Division - ATLAS

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

    ATLAS USERS WORKSHOP: AGENDA Saturday, August 8 (Bldg. 203 Auditorium) 8:45 - 9:15 Registration & Coffee 9:15 - 9:30 Welcome & introduction to the meeting: W. Loveland An updated Strategic Plan: Why? R. Janssens 9:30 - 10:00 Status of ATLAS (& Energy Upgrade) R. Pardo 10:00 - 10:30 Status of CARIBU R. Pardo & G. Savard 10:30 - 10:45 Coffee 10:45 - 12:45 Status report on existing equipment & Planned Upgrades*: 10:45 - 11:00 HELIOS A. Wuosmaa 11:00 - 11:15 Gammasphere M.

  3. Argonne Physics Division - ATLAS

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

    2014 ATLAS User’s Meeting: May 15-16, 2014 Dear Colleagues, The ATLAS accelerator complex at Argonne National Laboratory is restarting operation after an extended shutdown to complete its intensity and efficiency upgrade. This upgrade project consisted of a reconfigured injection line and a positive-ion injector that now includes a high-intensity CW RFQ for initial acceleration. In addition, a major reconfiguration of the booster section was also part of the project. A new cryostat with

  4. Argonne Physics Division - ATLAS

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

    CARIBU Proposal Presentation The CAlifornium Rare Isotope Breeder Upgrade (CARIBU) On Februry 23, 2005 a proposal was introduced to the Office of Nuclear Physics at the Department of Energy to upgrade the capabilities of ATLAS in the area of physics with rare isotopes. A copy of the proposal for the CAlifornium Rare Isotope Breeder Upgrade (CARIBU) can be found here in PDF Format. Click here to see a PDF version of the Cf Upgrade presentation from the ATLAS User Group Workshop July 31-August 1,

  5. West Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Winds Wind Farm Jump to: navigation, search Name West Winds Wind Farm Facility West Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  6. Eastern Wind Integration and Transmission Study -- Preliminary Findings: Preprint

    SciTech Connect (OSTI)

    Corbus, D.; Milligan, M.; Ela, E.; Schuerger, M.; Zavadil, B.

    2009-09-01

    This paper reviews the Eastern Wind Integration and Transmission Study, the development of wind datasets, the transmission analysis, and the results of wind integration analysis for four scenarios.

  7. Variables Affecting Economic Development of Wind Energy

    SciTech Connect (OSTI)

    Lantz, E.; Tegen, S.

    2008-07-01

    NREL's JEDI Wind model performed an analysis of wind-power-related economic development drivers. Economic development benefits for wind and coal were estimated using NREL's JEDI Wind and JEDI Coal models.

  8. Empirical Analysis of the Variability of Wind Generation in India: Implications for Grid Integration

    SciTech Connect (OSTI)

    Phadke, Amol; Abhyankar, NIkit; Rao, Poorvi

    2014-06-17

    We analyze variability in load and wind generation in India to assess its implications for grid integration of large scale wind projects using actual wind generation and load data from two states in India, Karnataka and Tamil Nadu. We compare the largest variations in load and net load (load ?wind, i.e., load after integrating wind) that the generation fleet has to meet. In Tamil Nadu, where wind capacity is about 53percent of the peak demand, we find that the additional variation added due to wind over the current variation in load is modest; if wind penetration reaches 15percent and 30percent by energy, the additional hourly variation is less than 0.5percent and 4.5percent of the peak demand respectively for 99percent of the time. For wind penetration of 15percent by energy, Tamil Nadu system is found to be capable of meeting the additional ramping requirement for 98.8percent of the time. Potential higher uncertainty in net load compared to load is found to have limited impact on ramping capability requirements of the system if coal plants can me ramped down to 50percent of their capacity. Load and wind aggregation in Tamil Nadu and Karnataka is found to lower the variation by at least 20percent indicating the benefits geographic diversification. These findings suggest modest additional flexible capacity requirements and costs for absorbing variation in wind power and indicate that the potential capacity support (if wind does not generate enough during peak periods) may be the issue that has more bearing on the economics of integrating wind

  9. Argonne Physics Division - ATLAS

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

    The ATLAS Program Advisory Committee (PAC) Current PAC Membership: Gordon Ball TRIUMF Dan Bardayan University of Notre Dame Peter Butler University of Liverpool Michael Carpenter Argonne National Laboratory Alexandra Gade Michigan State University Walter Loveland (Chair) Oregon State University Ingo Wiedenhoever Florida State University Alan Wuosmaa (UEC Chair) University of Connecticut

  10. An Analysis of Wind Power Development in the Town of Hull, MA

    SciTech Connect (OSTI)

    Adams, Christopher

    2013-06-30

    Over the past three decades the Town of Hull, MA has solidified its place in U.S. wind energy history through its leadership in community-based generation. This is illustrated by its commissioning of the first commercial-scale wind turbine on the Atlantic coastline, the first suburban-sited turbine in the continental United States, pursuit of community-based offshore wind, and its push toward creating an energy independent community. The town's history and demographics are briefly outlined, followed by experience in projects to provide wind power, including pre-construction and feasibility efforts, financial aspects, and market/industry factors.

  11. Screening Analysis for the Environmental Risk Evaluation System Fiscal Year 2011 Report Environmental Effects of Offshore Wind Energy

    SciTech Connect (OSTI)

    Copping, Andrea E.; Hanna, Luke A.

    2011-11-01

    Potential environmental effects of offshore wind (OSW) energy development are not well understood, and yet regulatory agencies are required to make decisions in spite of substantial uncertainty about environmental impacts and their long-term consequences. An understanding of risks associated with interactions between OSW installations and avian and aquatic receptors, including animals, habitats, and ecosystems, can help define key uncertainties and focus regulatory actions and scientific studies on interactions of most concern. During FY 2011, Pacific Northwest National Laboratory (PNNL) scientists adapted and applied the Environmental Risk Evaluation System (ERES), first developed to examine the effects of marine and hydrokinetic energy devices on aquatic environments, to offshore wind development. PNNL scientists conducted a risk screening analysis on two initial OSW cases: a wind project in Lake Erie and a wind project off the Atlantic coast of the United States near Atlantic City, New Jersey. The screening analysis revealed that top-tier stressors in the two OSW cases were the dynamic effects of the device (e.g., strike), accidents/disasters, and effects of the static physical presence of the device, such as alterations in bottom habitats. Receptor interactions with these stressors at the highest tiers of risk were dominated by threatened and endangered animals. Risk to the physical environment from changes in flow regime also ranked high. Peer review of this process and results will be conducted during FY 2012. The ERES screening analysis provides an assessment of the vulnerability of environmental receptors to stressors associated with OSW installations; a probability analysis is needed to determine specific risk levels to receptors. As more data become available that document effects of offshore wind farms on specific receptors in U.S. coastal and Great Lakes waters, probability analyses will be performed.

  12. Atlas Solar Innovations | Open Energy Information

    Open Energy Info (EERE)

    Innovations Jump to: navigation, search Logo: Atlas Solar Innovations Name: Atlas Solar Innovations Address: 2640 NW 15th Court Place: Pompano Beach, Florida Zip: 33069 Sector:...

  13. Template:AtlasTabs | Open Energy Information

    Open Energy Info (EERE)

    AtlasTabs Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleTemplate:AtlasTabs&oldid686795...

  14. Biofuels Atlas (United States) | Open Energy Information

    Open Energy Info (EERE)

    Atlas (United States) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Biofuels Atlas (United States) Focus Area: Clean Transportation Topics: Potentials & Scenarios...

  15. River Hydrokinetic Resource Atlas | Open Energy Information

    Open Energy Info (EERE)

    dress":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map Language: English River Hydrokinetic Resource Atlas Screenshot References: EPRI1 River Atlas2 The...

  16. U.S. Wind Energy Manufacturing & Supply Chain: A Competitive Analysis

    SciTech Connect (OSTI)

    Fullenkamp, Patrick

    2014-06-15

    The Global Wind Network (GLWN) assessed the key factors that determine wind energy component manufacturing costs and pricing on a global basis in order to provide a better understanding of the factors that will help enhance the competitiveness of U.S. manufacturers, and reduce installed system costs.

  17. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Revised final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1983-03-01

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in this study was the Los Angeles Department of Water and Power, and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  18. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1982-08-01

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in the study was the Los Angeles Department of Water and Power and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  19. Wind Integration

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

    Wind Generation - ScheduledActual Balancing Reserves - Deployed Near Real-time Wind Animation Wind Projects under Review Growth Forecast Fact Sheets Working together to address...

  20. BioFuels Atlas Presentation

    Office of Energy Efficiency and Renewable Energy (EERE)

    Kristi Moriarity's presentation on NREL's BioFuels Atlas from the May 12, 2011, Clean Cities and Biomass Program State webinar.

  1. Carbon Sequestration Atlas IV Video

    ScienceCinema (OSTI)

    Rodosta, Traci

    2014-06-27

    The Carbon Sequestration Atlas is a collection of all the storage sites of CO2 such as, petroleum, natural gas, coal, and oil shale.

  2. Carbon Sequestration Atlas IV Video

    SciTech Connect (OSTI)

    Rodosta, Traci

    2013-04-19

    The Carbon Sequestration Atlas is a collection of all the storage sites of CO2 such as, petroleum, natural gas, coal, and oil shale.

  3. Prairie Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Prairie Winds Wind Farm Facility Prairie Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  4. WESTCARB Carbon Atlas

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

    The West Coast Regional Carbon Sequestration Partnership (known as WESTCARB) was established in Fall 2003. It is one of seven research partnerships co-funded by DOE to characterize regional carbon sequestration opportunities and conduct pilot-scale validation tests. The California Energy Commission manages WESTCARB and is a major co-funder. WESTCARB is characterizing the extent and capacity of geologic formations capable of storing CO2, known as sinks. Results are entered into a geographic information system (GIS) database, along with the location of major CO2-emitting point sources in each of the six WESTCARB states, enabling researchers and the public to gauge the proximity of candidate CO2 storage sites to emission sources and the feasibility of linking them via pipelines. Specifically, the WESTCARB GIS database (also known as the carbon atlas) stores layers of geologic information about potential underground storage sites, such as porosity and nearby fault-lines and aquifers. Researchers use these data, along with interpreted geophysical data and available oil and gas well logs to estimate the region's potential geologic storage capacity. The database also depicts existing pipeline routes and rights-of-way and lands that could be off-limits, which can aid the development of a regional carbon management strategy. The WESTCARB Carbon Atlas, which is accessible to the public, provides a resource for public discourse on practical solutions for regional CO2 management. A key WESTCARB partner, the Utah Automated Geographic Reference Center, has developed data serving procedures to enable the WESTCARB Carbon Atlas to be integrated with those from other regional partnerships, thereby supporting the U.S. Department of Energy's national carbon atlas, NATCARB

  5. Argonne Physics Division - ATLAS

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

    Stable Beams Available from ATLAS Updated August, 2009 Beam currents listed in the table were obtained with naturally occurring material for the given isotope. The maximum energy quoted corresponds to the that computed with the optimal charge state. Higher energies are possible by using another charge state or by double stripping. a Other isotopes available with currents proportional to their abundance. For more beam current isotopically enriched material may be used, but the User should, in

  6. Argonne Physics Division - ATLAS

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

    Stable Beams Available from ATLAS Updated August, 2009 Beam currents listed in the table were obtained with naturally occurring material for the given isotope. The maximum energy quoted corresponds to the that computed with the optimal charge state. Higher energies are possible by using another charge state or by double stripping. a Other isotopes available with currents proportional to their abundance. For more beam current isotopically enriched material may be used, but the User should, in

  7. Argonne Physics Division - ATLAS

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

    AGFA Proposal AGFA - Argonne Gas Filled Analyzer AGFA, the Argonne Gas-filled Fragment Analyzer is a state-of-the art gas-filled separator at ATLAS, which is being developed in collaboration among the Argonne Physics Division, Hebrew University, Jerusalem, University of Massachusetts, Lowell, University of Maryland, University of Edinburgh, Lawrence Berkeley National Laboratory and Oregon State University. This separator will be used for a wide range of studies, e.g. 1) in conjunction with

  8. Analysis of Transportation and Logistics Challenges Affecting the Deployment of Larger Wind Turbines: Summary of Results

    SciTech Connect (OSTI)

    Cotrell, J.; Stehly, T.; Johnson, J.; Roberts, J. O.; Parker, Z.; Scott, G.; Heimiller, D.

    2014-01-01

    There is relatively little literature that characterizes transportation and logistics challenges and the associated effects on U.S. wind markets. The objectives of this study were to identify the transportation and logistics challenges, assess the associated impacts, and provide recommendations for strategies and specific actions to address the challenges. The authors primarily relied on interviews with wind industry project developers, original equipment manufacturers, and transportation and logistics companies to obtain the information and industry perspectives needed for this study. They also reviewed published literature on trends and developments in increasing wind turbine size, logistics, and transportation issues.

  9. Theory manual for FAROW version 1.1: A numerical analysis of the Fatigue And Reliability Of Wind turbine components

    SciTech Connect (OSTI)

    WUBTERSTEUBMSTEVEB R.; VEERS,PAUL S.

    2000-01-01

    Because the fatigue lifetime of wind turbine components depends on several factors that are highly variable, a numerical analysis tool called FAROW has been created to cast the problem of component fatigue life in a probabilistic framework. The probabilistic analysis is accomplished using methods of structural reliability (FORM/SORM). While the workings of the FAROW software package are defined in the user's manual, this theory manual outlines the mathematical basis. A deterministic solution for the time to failure is made possible by assuming analytical forms for the basic inputs of wind speed, stress response, and material resistance. Each parameter of the assumed forms for the inputs can be defined to be a random variable. The analytical framework is described and the solution for time to failure is derived.

  10. Analysis of Transportation and Logistics Challenges Affecting the Deployment of Larger Wind Turbines: Summary of Results

    Broader source: Energy.gov [DOE]

    The objectives of this study were to identify the transportation and logistics challenges, assess the associated impacts, and provide recommendations for strategies and specific actions to address wind challenges.

  11. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Gomez-Lazaro, E.; Lovholm, A. L.; Berge, E.; Miettinen, J.; Holttinen, H.; Cutululis, N.; Litong-Palima, M.; Sorensen, P.; Dobschinski, J.

    2013-10-01

    One of the critical challenges of wind power integration is the variable and uncertain nature of the resource. This paper investigates the variability and uncertainty in wind forecasting for multiple power systems in six countries. An extensive comparison of wind forecasting is performed among the six power systems by analyzing the following scenarios: (i) wind forecast errors throughout a year; (ii) forecast errors at a specific time of day throughout a year; (iii) forecast errors at peak and off-peak hours of a day; (iv) forecast errors in different seasons; (v) extreme forecasts with large overforecast or underforecast errors; and (vi) forecast errors when wind power generation is at different percentages of the total wind capacity. The kernel density estimation method is adopted to characterize the distribution of forecast errors. The results show that the level of uncertainty and the forecast error distribution vary among different power systems and scenarios. In addition, for most power systems, (i) there is a tendency to underforecast in winter; and (ii) the forecasts in winter generally have more uncertainty than the forecasts in summer.

  12. Wind Electrolysis: Hydrogen Cost Optimization

    SciTech Connect (OSTI)

    Saur, G.; Ramsden, T.

    2011-05-01

    This report describes a hydrogen production cost analysis of a collection of optimized central wind based water electrolysis production facilities. The basic modeled wind electrolysis facility includes a number of low temperature electrolyzers and a co-located wind farm encompassing a number of 3MW wind turbines that provide electricity for the electrolyzer units.

  13. Analysis of Unit-Level Changes in Operations with Increased SPP Wind from EPRI/LCG Balancing Study

    SciTech Connect (OSTI)

    Hadley, Stanton W

    2012-01-01

    Wind power development in the United States is outpacing previous estimates for many regions, particularly those with good wind resources. The pace of wind power deployment may soon outstrip regional capabilities to provide transmission and integration services to achieve the most economic power system operation. Conversely, regions such as the Southeastern United States do not have good wind resources and will have difficulty meeting proposed federal Renewable Portfolio Standards with local supply. There is a growing need to explore innovative solutions for collaborating between regions to achieve the least cost solution for meeting such a renewable energy mandate. The Department of Energy funded the project 'Integrating Midwest Wind Energy into Southeast Electricity Markets' to be led by EPRI in coordination with the main authorities for the regions: SPP, Entergy, TVA, Southern Company and OPC. EPRI utilized several subcontractors for the project including LCG, the developers of the model UPLAN. The study aims to evaluate the operating cost benefits of coordination of scheduling and balancing for Southwest Power Pool (SPP) wind transfers to Southeastern Electric Reliability Council (SERC) Balancing Authorities (BAs). The primary objective of this project is to analyze the benefits of regional cooperation for integrating mid-western wind energy into southeast electricity markets. Scenarios were defined, modeled and investigated to address production variability and uncertainty and the associated balancing of large quantities of wind power in SPP and delivery to energy markets in the southern regions of the SERC. DOE funded Oak Ridge National Laboratory to provide additional support to the project, including a review of results and any side analysis that may provide additional insight. This report is a unit-by-unit analysis of changes in operations due to the different scenarios used in the overall study. It focuses on the change in capacity factors and the number of start-ups required for each unit since those criteria summarize key aspects of plant operations, how often are they called upon and how much do they operate. The primary analysis of the overall project is based on security-constrained unit commitment (SCUC) and economic dispatch (SCED) simulations of the SPP-SERC regions as modeled for the year 2022. The SCUC/SCED models utilized for the project were developed through extensive consultation with the project utility partners, to ensure the various regions and operational practices are represented as best as possible in the model. SPP, Entergy, Oglethorpe Power Company (OPC), Southern Company, and the Tennessee Valley Authority (TVA) actively participated in the project providing input data for the models and review of simulation results and conclusions. While other SERC utility systems are modeled, the listed SERC utilities were explicitly included as active participants in the project due to the size of their load and relative proximity to SPP for importing wind energy.

  14. Wind Power Opportunities in St. Thomas, USVI: A Site-Specific Evaluation and Analysis

    SciTech Connect (OSTI)

    Lantz, E.; Warren, A.; Roberts, J. O.; Gevorgian, V.

    2012-09-01

    This NREL technical report utilizes a development framework originated by NREL and known by the acronym SROPTTC to assist the U.S. Virgin Islands in identifying and understanding concrete opportunities for wind power development in the territory. The report covers each of the seven components of the SROPTTC framework: Site, Resource, Off-take, Permitting, Technology, Team, and Capital as they apply to wind power in the USVI and specifically to a site in Bovoni, St. Thomas. The report concludes that Bovoni peninsula is a strong candidate for utility-scale wind generation in the territory. It represents a reasonable compromise in terms of wind resource, distance from residences, and developable terrain. Hurricane risk and variable terrain on the peninsula and on potential equipment transport routes add technical and logistical challenges but do not appear to represent insurmountable barriers. In addition, integration of wind power into the St. Thomas power system will present operational challenges, but based on experience in other islanded power systems, there are reasonable solutions for addressing these challenges.

  15. An Analysis of Wind Power Development in the Town of Hull, MA, Appendix 2: LaCapra Financial Study

    SciTech Connect (OSTI)

    Adams, Christopher

    2013-06-30

    The financial analysis and summary results presented in this document represent a first cut at an economic assessment of the proposed Hull Offshore Wind Project. Wind turbine price increases have outpaced the materials and labor price pressures faced by nonrenewable power plant developers due to increased demands on a limited pool of turbine manufacturers and offshore installation companies. Moreover, given the size of the proposed offshore facility, it may be difficult to contract with turbine manufacturers and/or foundation companies given the size and scope of competing worldwide demand. The results described in this report assume that such conditions will not significantly impact the prices that will have to be received from the output of the project; rather, the project size may require as a prerequisite that Hull be able to piggyback on other offshore efforts. The financial estimates provided here necessarily feature a range due to uncertainty in a number of project assumptions as well as overall uncertainty in offshore wind costs. Nevertheless, taken together, the analysis provides a ballpark revenue requirement of approximately $157/MWh for the municipal financing option, with higher estimates possible assuming escalation in costs to levels higher than assumed here.

  16. Argonne Physics Division - ATLAS

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

    Radioactive Beams Delivered by ATLAS Updated July, 2009 a Beams produced using the "In-flight" method (Rev. Sci. Instrum. 71, 380 (2008)) (see below). b Beams produced using the "Two-accelerator" or "Batch" method (see below). c Allowed maximum radiation may limit beam current. d Used so far for implantation only. Ion Half-Life Reaction Intensity (ions/sec/pnA) Opening Angle (degrees) Production Energy (MeV) Max. Rate (ions/sec) 6Hea,c 0.807 sec d(7Li,6He)3He 150 19

  17. Argonne Physics Division - ATLAS

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

    Contact Information Shaofei Zhu ATLAS User Liaison Physicist zhu@anl.gov (630) 252-4412 Shaofei Zhu Barbara Weller Administrative Secretary bweller@anl.gov (630) 252-4044 Barbara Weller Tom Mullen Safety Engineer tpmullen@anl.gov (630) 252-2879 Tom Mullen John P. Greene Target Making greene@anl.gov (630) 252-5364 Target Lab Homepage John Greene Beamline and Equipment Support John Rohrer rohrer@phy.anl.gov (630) 252-4047 John Rohrer Detector Support Dale Henderson (STA) henderson@phy.anl.gov

  18. Argonne Physics Division - ATLAS

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

    Radioactive Beams Delivered by ATLAS Updated July, 2009 a Beams produced using the "In-flight" method (see below). b Beams produced using the "Two-accelerator" or "Batch" method (see below). c Allowed maximum radiation may limit beam current. d Used so far for implantation only. Ion Half-Life Reaction Intensity (ions/sec/pnA) Opening Angle (degrees) Production Energy (MeV) Max. Rate (ions/sec) 6Hea,c 0.807 sec d(7Li,6He)3He 150 19 75 1 x 104 8Lia,c 0.838 sec

  19. Electrical Power Grid Delivery Dynamic Analysis: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer; Michael E. Reed

    2011-11-01

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  20. Wind Vision Chapter 1: Introduction to the Wind Vision

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

    1 2 1 Introduction to the Wind Vision Summary The Wind Vision consists of four components: The Wind Vision and its associated analysis represent a technical update and expansion of a U.S. Department of Energy (DOE) report published in 2008, 20% Wind Energy by 2030 -Increasing Wind Energy's Contribution to U.S. Electricity Supply[1] (hereafter referred to as 20% Wind Energy by 2030). Major changes have occurred in the electric power sector since the 2000s, when 20% Wind Energy by 2030 was

  1. LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011

    SciTech Connect (OSTI)

    Dunne, F.; Simley, E.; Pao, L.Y.

    2011-10-01

    This report examines the accuracy of measurements that rely on Doppler LIDAR systems to determine their applicability to wind turbine feed-forward control systems and discusses feed-forward control system designs that use preview wind measurements. Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feed-forward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. The first half of this report examines the accuracy of different measurement scenarios that rely on coherent continuous-wave or pulsed Doppler LIDAR systems to determine their applicability to feed-forward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Continuous-wave and pulsed LIDAR models based on typical commercially available units were used in the studies present in this report. The second half of this report discusses feed-forward control system designs that use preview wind measurements. Combined feedback/feed-forward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent above-rated winds. The feed-forward controllers are designed to reduce fatigue loads, increasing turbine lifetime and therefore reducing the cost of energy. Three feed-forward designs are studied: non-causal series expansion, Preview Control, and optimized FIR filter. The input to the feed-forward controller is a measurement of incoming wind speeds that could be provided by LIDAR. Non-causal series expansion and Preview Control methods reduce blade root loads but increase tower bending in simulation results. The optimized FIR filter reduces loads overall, keeps pitch rates low, and maintains rotor speed regulation and power capture, while using imperfect wind measurements provided by the spinning continuous-wave LIDAR model.

  2. Development and Analysis of a Swept Blade Aeroelastic Model for a Small Wind Turbine (Presentation)

    SciTech Connect (OSTI)

    Preus, R.; Damiani, R.; Lee, S.; Larwood, S.

    2014-06-01

    As part of the U.S. Department-of-Energy-funded Competitiveness Improvement Project, the National Renewable Energy Laboratory (NREL) developed new capabilities for aeroelastic modeling of precurved and preswept blades for small wind turbines. This presentation covers the quest for optimized rotors, computer-aided engineering tools, a case study, and summary of the results.

  3. Prediction and analysis of infra and low-frequency noise of upwind horizontal axis wind turbine using statistical wind speed model

    SciTech Connect (OSTI)

    Lee, Gwang-Se; Cheong, Cheolung

    2014-12-15

    Despite increasing concern about low-frequency noise of modern large horizontal-axis wind turbines (HAWTs), few studies have focused on its origin or its prediction methods. In this paper, infra- and low-frequency (the ILF) wind turbine noise are closely examined and an efficient method is developed for its prediction. Although most previous studies have assumed that the ILF noise consists primarily of blade passing frequency (BPF) noise components, these tonal noise components are seldom identified in the measured noise spectrum, except for the case of downwind wind turbines. In reality, since modern HAWTs are very large, during rotation, a single blade of the turbine experiences inflow with variation in wind speed in time as well as in space, breaking periodic perturbations of the BPF. Consequently, this transforms acoustic contributions at the BPF harmonics into broadband noise components. In this study, the ILF noise of wind turbines is predicted by combining Lowson’s acoustic analogy with the stochastic wind model, which is employed to reproduce realistic wind speed conditions. In order to predict the effects of these wind conditions on pressure variation on the blade surface, unsteadiness in the incident wind speed is incorporated into the XFOIL code by varying incident flow velocities on each blade section, which depend on the azimuthal locations of the rotating blade. The calculated surface pressure distribution is subsequently used to predict acoustic pressure at an observing location by using Lowson’s analogy. These predictions are compared with measured data, which ensures that the present method can reproduce the broadband characteristics of the measured low-frequency noise spectrum. Further investigations are carried out to characterize the IFL noise in terms of pressure loading on blade surface, narrow-band noise spectrum and noise maps around the turbine.

  4. Analysis of SNL/MSU/DOE fatigue database trends for wind turbine blade materials.

    SciTech Connect (OSTI)

    Mandell, John F.; Ashwill, Thomas D.; Wilson, Timothy J.; Sears, Aaron T.; Agastra, Pancasatya; Laird, Daniel L.; Samborsky, Daniel D.

    2010-12-01

    This report presents an analysis of trends in fatigue results from the Montana State University program on the fatigue of composite materials for wind turbine blades for the period 2005-2009. Test data can be found in the SNL/MSU/DOE Fatigue of Composite Materials Database which is updated annually. This is the fifth report in this series, which summarizes progress of the overall program since its inception in 1989. The primary thrust of this program has been research and testing of a broad range of structural laminate materials of interest to blade structures. The report is focused on current types of infused and prepreg blade materials, either processed in-house or by industry partners. Trends in static and fatigue performance are analyzed for a range of materials, geometries and loading conditions. Materials include: sixteen resins of three general types, five epoxy based paste adhesives, fifteen reinforcing fabrics including three fiber types, three prepregs, many laminate lay-ups and process variations. Significant differences in static and fatigue performance and delamination resistance are quantified for particular materials and process conditions. When blades do fail, the likely cause is fatigue in the structural detail areas or at major flaws. The program is focused strongly on these issues in addition to standard laminates. Structural detail tests allow evaluation of various blade materials options in the context of more realistic representations of blade structure than do the standard test methods. Types of structural details addressed in this report include ply drops used in thickness tapering, and adhesive joints, each tested over a range of fatigue loading conditions. Ply drop studies were in two areas: (1) a combined experimental and finite element study of basic ply drop delamination parameters for glass and carbon prepreg laminates, and (2) the development of a complex structured resin-infused coupon including ply drops, for comparison studies of various resins, fabrics and pry drop thicknesses. Adhesive joint tests using typical blade adhesives included both generic testing of materials parameters using a notched-lap-shear test geometry developed in this study, and also a series of simulated blade web joint geometries fabricated by an industry partner.

  5. Wind Simulation

    Energy Science and Technology Software Center (OSTI)

    2008-12-31

    The Software consists of a spreadsheet written in Microsoft Excel that provides an hourly simulation of a wind energy system, which includes a calculation of wind turbine output as a power-curve fit of wind speed.

  6. WindLogics Inc | Open Energy Information

    Open Energy Info (EERE)

    Product: WindLogics provides wind resource analysis and long-period variability forecasting services. References: WindLogics Inc1 This article is a stub. You can help OpenEI...

  7. atlasUserMeeting14

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

    GRETINA Mario Cromaz, LBNL Work supported under contract number DE-AC02-05CH11231. 2014 ATLAS User's Meeting ANL - May 15-16, 2014 The GRETINA Spectrometer 2 * first generation...

  8. BioFuels Atlas (Presentation)

    SciTech Connect (OSTI)

    Moriarty, K.

    2011-02-01

    Presentation for biennial merit review of Biofuels Atlas, a first-pass visualization tool that allows users to explore the potential of biomass-to-biofuels conversions at various locations and scales.

  9. wind energy

    National Nuclear Security Administration (NNSA)

    5%2A en Pantex to Become Wind Energy Research Center http:nnsa.energy.govfieldofficesnponpopressreleasespantex-become-wind-energy-research-center

  10. Dynamic Analysis of Wind Turbine Planetary Gears Using an Extended Harmonic Balance Approach: Preprint

    SciTech Connect (OSTI)

    Guo, Y.; Keller, J.; Parker, R. G.

    2012-06-01

    The dynamics of wind turbine planetary gears with gravity effects are investigated using an extended harmonic balance method that extends established harmonic balance formulations to include simultaneous internal and external excitations. The extended harmonic balance method with arc-length continuation and Floquet theory is applied to a lumped-parameter planetary gear model including gravity, fluctuating mesh stiffness, bearing clearance, and nonlinear tooth contact to obtain the planetary gear dynamic response. The calculated responses compare well with time domain integrated mathematical models and experimental results. Gravity is a fundamental vibration source in wind turbine planetary gears and plays an important role in system dynamics, causing hardening effects induced by tooth wedging and bearing-raceway contacts. Bearing clearance significantly reduces the lowest resonant frequencies of translational modes. Gravity and bearing clearance together lowers the speed at which tooth wedging occurs lower than the resonant frequency.

  11. CFD analysis of rotating two-bladed flatback wind turbine rotor.

    SciTech Connect (OSTI)

    van Dam, C.P.; Chao, David D.; Berg, Dale E.

    2008-04-01

    The effects of modifying the inboard portion of the NREL Phase VI rotor using a thickened, flatback version of the S809 design airfoil are studied using a three-dimensional Reynolds-averaged Navier-Stokes method. A motivation for using such a thicker airfoil design coupled with a blunt trailing edge is to alleviate structural constraints while reducing blade weight and maintaining the power performance of the rotor. The calculated results for the baseline Phase VI rotor are benchmarked against wind tunnel results obtained at 10, 7, and 5 meters per second. The calculated results for the modified rotor are compared against those of the baseline rotor. The results of this study demonstrate that a thick, flatback blade profile is viable as a bridge to connect structural requirements with aerodynamic performance in designing future wind turbine rotors.

  12. 20% Wind Energy by 2030

    SciTech Connect (OSTI)

    Not Available

    2008-07-01

    This analysis explores one clearly defined scenario for providing 20% of our nations electricity demand with wind energy by 2030 and contrasts it to a scenario of no new wind power capacity.

  13. Consumer Energy Atlas

    SciTech Connect (OSTI)

    Not Available

    1980-06-01

    This first edition of the Atlas provides, in reference form, a central source of information to consumers on key contacts concerned with energy in the US. Energy consumers need information appropriate to local climates and characteristics - best provided by state and local governments. The Department of Energy recognizes the authority of state and local governments to manage energy programs on their own. Therefore, emphasis has been given to government organizations on both the national and state level that influence, formulate, or administer policies affecting energy production, distribution, and use, or that provide information of interest to consumers and non-specialists. In addition, hundreds of non-government energy-related membership organizations, industry trade associations, and energy publications are included.

  14. Argonne Physics Division - ATLAS

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

    Approved ATLAS Experiments Sorted by PAC meetings: November 6-7, 2015 March 8-9, 2015 September 19, 2014 November 22-23, 2013 December 14-15, 2012 January 13-14, 2012 April 22-23, 2011 April 2-3, 2010 June 26-27, 2009 June 27-28, 2008 November 2-3, 2007 September 15-16, 2006 January 20-21, 2006 May 20-21, 2005 June 4-5, 2004 September 19-20, 2003 February 7-8, 2003 May 3, 2002 October 5, 2001 March 2, 2001 Sep 11, 2000 March 3, 2000 October 11, 1999 May 21, 1999 November 9. 1998 May 8, 1998

  15. Siting guidelines for utility application of wind turbines. Final report

    SciTech Connect (OSTI)

    Pennell, W.T.

    1983-01-01

    Utility-oriented guidelines are described for identifying viable sites for wind turbines. Topics and procedures are also discussed that are important in carrying out a wind turbine siting program. These topics include: a description of the Department of Energy wind resource atlases; procedures for predicting wind turbine performance at potential sites; methods for analyzing wind turbine economics; procedures for estimating installation and maintenance costs; methods for anlayzing the distribution of wind resources over an area; and instrumentation for documenting wind behavior at potential sites. The procedure described is applicable to small and large utilities. Although the procedure was developed as a site-selection tool, it can also be used by a utility who wishes to estimate the potential for wind turbine penetration into its future generation mix.

  16. ATLAS upgrade June09_v3

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

    ATLAS efficiency and intensity upgrade Guy Savard and Robert V. F. Janssens June 12, 2009 The ATLAS facility is on a constant quest to improve and increase the capabilities it...

  17. Global Atlas | OpenEI Community

    Open Energy Info (EERE)

    Global Atlas Home Graham7781's picture Submitted by Graham7781(2017) Super contributor 11 February, 2013 - 15:18 IRENA launches global atlas of renewable energy potential data...

  18. Wind power: executive summary on research on network wind power over the Pacific Northwest. Progress report, October 1979-September 1980

    SciTech Connect (OSTI)

    Baker, R.W.; Hewson, E.W.

    1980-10-01

    This research in FY80 is composed of six primary tasks. These tasks include data collection and analysis, wind flow studies around an operational wind turbine generator (WTG), kite anemometer calibration, wind flow analysis and prediction, the Klickitat County small wind energy conversion system (SWECS) program, and network wind power analysis. The data collection and analysis task consists of four sections, three of which deal with wind flow site surveys and the fourth with collecting and analyzing wind data from existing data stations.

  19. ATLAS_Strategic_Plan_14_August _9

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

    ATLAS Accelerator Facility Physics Division Argonne National Laboratory Argonne, IL June 2014 2 Introduction This strategic plan is developed jointly by the ATLAS user community and the Physics Division at Argonne National Laboratory. This plan is a public document, hence available to the entire ATLAS user community, and is updated as the need arises. In practice, the community discusses this plan at regular ATLAS Users Workshops, the most recent of which was held on May 15-16, 2014. The users'

  20. Lower Sioux Wind Feasibility & Development

    SciTech Connect (OSTI)

    Minkel, Darin

    2012-04-01

    This report describes the process and findings of a Wind Energy Feasibility Study (Study) conducted by the Lower Sioux Indian Community (Community). The Community is evaluating the development of a wind energy project located on tribal land. The project scope was to analyze the critical issues in determining advantages and disadvantages of wind development within the Community. This analysis addresses both of the Community's wind energy development objectives: the single turbine project and the Commerical-scale multiple turbine project. The main tasks of the feasibility study are: land use and contraint analysis; wind resource evaluation; utility interconnection analysis; and project structure and economics.

  1. Incorporation of Multi-Member Substructure Capabilities in FAST for Analysis of Offshore Wind Turbines: Preprint

    SciTech Connect (OSTI)

    Song, H.; Robertson, A.; Jonkman, J.; Sewell, D.

    2012-05-01

    FAST, developed by the National Renewable Energy Laboratory (NREL), is an aero-hydro-servo-elastic tool widely used for analyzing onshore and offshore wind turbines. This paper discusses recent modifications made to FAST to enable the examination of offshore wind turbines with fixed-bottom, multi-member support structures (which are commonly used in transitional-depth waters).; This paper addresses the methods used for incorporating the hydrostatic and hydrodynamic loading on multi-member structures in FAST through its hydronamic loading module, HydroDyn. Modeling of the hydrodynamic loads was accomplished through the incorporation of Morison and buoyancy loads on the support structures. Issues addressed include how to model loads at the joints of intersecting members and on tapered and tilted members of the support structure. Three example structures are modeled to test and verify the solutions generated by the modifications to HydroDyn, including a monopile, tripod, and jacket structure. Verification is achieved through comparison of the results to a computational fluid dynamics (CFD)-derived solution using the commercial software tool STAR-CCM+.

  2. Wind Resource Assessment of Gujarat (India)

    SciTech Connect (OSTI)

    Draxl, C.; Purkayastha, A.; Parker, Z.

    2014-07-01

    India is one of the largest wind energy markets in the world. In 1986 Gujarat was the first Indian state to install a wind power project. In February 2013, the installed wind capacity in Gujarat was 3,093 MW. Due to the uncertainty around existing wind energy assessments in India, this analysis uses the Weather Research and Forecasting (WRF) model to simulate the wind at current hub heights for one year to provide more precise estimates of wind resources in Gujarat. The WRF model allows for accurate simulations of winds near the surface and at heights important for wind energy purposes. While previous resource assessments published wind power density, we focus on average wind speeds, which can be converted to wind power densities by the user with methods of their choice. The wind resource estimates in this study show regions with average annual wind speeds of more than 8 m/s.

  3. Modal analysis and SHM investigation of CX-100 wind turbine blade

    SciTech Connect (OSTI)

    Deines, Krystal E; Marinone, Timothy; Schultz, Ryan A; Farinholt, Kevin M; Park, Gyuhae

    2011-01-24

    This paper presents the dynamic characterization of a CX100 blade using modal testing. Obtaining a thorough dynamic characterization of these turbine blades is important because they are complex structures, making them difficult to monitor for damage initiation and subsequent growth. This dynamic characterization was compared to a numerical model developed for validation. Structural Health Monitoring (SHM) techniques involving Lamb wave propagation, frequency response functions, and impedance based methods were also used to provide insight into blade dynamic response. SHM design parameters such as traveling distance of the wave, sensing region of the sensor and the power requirements were examined. Results obtained during modal and SHM testing will provide a baseline for future damage detection and mitigation techniques for wind turbine blades.

  4. ATLAS Science and Technology Review

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

    th Anniversary Celebration October 22-23, 2010 Physics Division, Argonne National Laboratory Building 203, Auditorium Friday, October 22: The Past as Prologue 8:00 - 8:30 Registration and coffee Chair: R.V.F. Janssens 8:30 - 8:45 Welcome by Laboratory Director and ALD E. Isaacs/S. Streiffer 8:45 - 9:30 Summary of the History of ATLAS W.F. Henning Chair: B.B. Back 9:30 - 10:30 Reminiscences 10:30 - 10:50 Break Chair: J. Nolen 10:50 - 11:25 The Impact of ATLAS on SRF Development and Applications

  5. Model Development and Loads Analysis of an Offshore Wind Turbine on a Tension Leg Platform with a Comparison to Other Floating Turbine Concepts: April 2009

    SciTech Connect (OSTI)

    Matha, D.

    2010-02-01

    This report presents results of the analysis of a 5-MW wind turbine located on a floating offshore tension leg platform (TLP) that was conducted using the fully coupled time-domain aero-hydro-servo-elastic design code FAST with AeroDyn and HydroDyn. The report also provides a description of the development process of the TLP model. The model has been verified via comparisons to frequency-domain calculations. Important differences have been identified between the frequency-domain and time-domain simulations, and have generated implications for the conceptual design process. An extensive loads and stability analysis for ultimate and fatigue loads according to the procedure of the IEC 61400-3 offshore wind turbine design standard was performed with the verified TLP model. This report compares the loads for the wind turbine on the TLP to those of an equivalent land-based turbine. Major instabilities for the TLP are identified and described.

  6. Assessing the Impacts of Reduced Noise Operations of Wind Turbines on Neighbor Annoyance: A Preliminary Analysis in Vinalhaven, Maine

    SciTech Connect (OSTI)

    Hoen, Ben; Wiser, Ryan; Eckholdt, Haftan

    2010-06-23

    Neighbors living near the 3 turbine, 4.5 MW Vinalhaven, Maine wind power facility, which began operations in late 2009, have complained that the noise from the turbines is unwelcome and annoying. Fox Islands Wind, the owner of the facility, hypothesized that implementing a Noise Reduced Operation (NRO) for the turbines, which effectively limits the turbines maximum rpm and power output, would reduce the sound levels produced by the turbines, and therefore might also reduce the degree to which the neighbors report being annoyed by those sounds. To test this hypothesis in a preliminary fashion, a pilot study was conducted in early 2010, the results of which are the subject of this brief report. The study included asking near-by residents - those within roughly 3000 feet - to rate the sounds and the degree to which they were annoyed by them using logs which they filled out at multiple times during the day on as many days as were possible in the 35 day study period in February and March, 2010. Meanwhile, FIW adjusted the NRO settings of the turbines in a random fashion in the evenings during the same period, but in a pattern that the respondents were not made aware of. Ultimately, nine individuals turned in roughly 200 log entries (i.e., responses), each of which was time coded to allow testing if the response was correlated with the wind facility operating conditions at that time. The analysis of these data found small, non-statistically-significant differences in self-reported turbine loudness and annoyance ratings between the periods when the NRO was enacted and when it was not, after controlling for many of the relationships that could independently influence perceived loudness and annoyance (e.g., wind direction, time of day). Possible explanations for these small differences in self-reported turbine loudness and annoyance ratings include: the relative difference in sound output from the turbines when NRO was engaged and when it was not was small; and/or that differences in turbine sound outputs that did exist might have been masked by higher (non-turbine) wind sound levels that were coincident with NRO periods. Because this preliminary test only included a small portion of the population surrounding the turbines, the sample of self-reported ratings was itself very small. In addition, the conditions varied greatly over the study period, as described in the report that follows. Consequently, the results presented here should be considered preliminary, and further data collection and analysis are warranted. The main findings of this preliminary study are: (1) As planned, periods in which the NRO was engaged were found to have noticeably lower turbine rotational speeds (rpm), based on turbine operational data. (2) 11% of responses overall indicated that the turbines were perceived as either 'very' or 'extremely' loud at the time they were logged, and roughly two thirds of those (7% overall) indicated the sounds to be 'very' or 'extremely' annoying. (3) Self-reported turbine loudness and annoyance ratings were higher during the night and when the wind was from the North (participants in the study were located to the east and south of the turbines). (4) Self-reported turbine loudness and annoyance ratings were generally found to be lower during the NRO periods, but these observed differences are relatively small in magnitude, and are not statistically significant. (5) There is some limited evidence that high-speed surface winds mask self-reported turbine loudness and annoyance ratings. Therefore, because NRO settings are only engaged during periods of high winds, the true effects of the NRO adjustments might be diluted to some degree. (6) The results of this preliminary assessment should not be applied to the full population of homeowners near the turbines in Vinalhaven, Maine because the potentially most-sensitive individuals (those most vocal of their dislike of the turbine sounds) opted not to participate in the study, and because the study did not include the relatively large number of individuals who primarily visit the

  7. Cisco Wind Energy Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cisco Wind Energy Wind Farm Jump to: navigation, search Name Cisco Wind Energy Wind Farm Facility Cisco Wind Energy Sector Wind energy Facility Type Commercial Scale Wind Facility...

  8. Wind Farm

    Broader source: Energy.gov [DOE]

    The wind farm in Greensburg, Kansas, was completed in spring 2010, and consists of ten 1.25 megawatt (MW) wind turbines that supply enough electricity to power every house, business, and municipal...

  9. Wind Power

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

    Wind Power As the accompanying map of New Mexico shows, the best wind power generation potential near WIPP is along the Delaware Mountain ridge line of the southern Guadalupe...

  10. Wind Energy

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

    Stationary Power/Energy Conversion Efficiency/Wind Energy - Wind EnergyTara Camacho-Lopez2016-02-16T22:30:00+00:00 Conducting applied research to increase the viability of wind technology by improving wind turbine performance, reliability, and reducing the cost of energy. Advancing the state of knowledge in the areas of materials, structurally efficient airfoil designs, active-flow aerodynamic control, and sensors. Rotor Innovation Advancing rotor technology such that they capture more energy,

  11. 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.

  12. NREL: Wind Research - Small Wind Turbine Development

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

    Small Wind Turbine Development A photo of Southwest Windpower's Skystream wind turbine in front of a home. PIX14936 Southwest Windpower's Skystream wind turbine. A photo of the Endurance wind turbine. PIX15006 The Endurance wind turbine. A photo of the Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. PIX07301 The Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. NREL supports continued market expansion of small wind

  13. Analysis of the Technical and Economic Potential for Mid-Scale Distributed Wind: December 2007 - October 31, 2008

    SciTech Connect (OSTI)

    Kwartin, R.; Wolfrum, A.; Granfield, K.; Kagel, A.; Appleton, A.

    2008-12-01

    This report examines the status, restrainers, drivers, and estimated development potential of mid-scale (10 kW - 5000 kW) distributed wind energy projects.

  14. Atlas Lighting: Order (2015-CE-48001) | Department of Energy

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

    Order (2015-CE-48001) Atlas Lighting: Order (2015-CE-48001) July 7, 2015 DOE ordered Atlas Lighting Products to pay a $6,000 civil penalty after finding Atlas Lighting had failed to certify that certain models of illuminated exit signs comply with the applicable energy conservation standards. The Order adopted a Compromise Agreement, which reflected settlement terms between DOE and Atlas Lighting. PDF icon Atlas Lighting: Order (2015-CE-48001) More Documents & Publications Atlas Lighting:

  15. Document issued in preparation for the ATLAS User Workshop 2006

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

    Dear ATLAS User, The ATLAS Strategic Plan articulates priorities, scientific justification for new initiatives, and the correlation of scientific campaigns with scientific goals, in the context of long- term plans for the ATLAS facility. The current ATLAS Strategic Plan was crafted in 2009 by the Executive Committee of the ATLAS Users group and the management of the Physics Division, with input from the User community through a dedicated workshop. The current plan can be found on the ATLAS

  16. Sandia and Atlas-Copco Secoroc Advance to Phase 2 in Their Geothermal

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

    Energy Project Atlas-Copco Secoroc Advance to Phase 2 in Their Geothermal Energy Project - 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

  17. Wind Measurements from Arc Scans with Doppler Wind Lidar

    SciTech Connect (OSTI)

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of its high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.

  18. Wind Measurements from Arc Scans with Doppler Wind Lidar

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

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of itsmore » high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.« less

  19. ATLAS diboson excesses from the stealth doublet model (Journal...

    Office of Scientific and Technical Information (OSTI)

    ATLAS diboson excesses from the stealth doublet model Title: ATLAS diboson excesses from the stealth doublet model Authors: Chao, Wei Search DOE PAGES for author "Chao, Wei" Search...

  20. 2010 Carbon Sequestration Atlas of the United States and Canada...

    Open Energy Info (EERE)

    10 Carbon Sequestration Atlas of the United States and Canada: Third Edition Jump to: navigation, search Tool Summary LAUNCH TOOL Name: 2010 Carbon Sequestration Atlas of the...

  1. Solar Atlas (PACA Region - France) | Open Energy Information

    Open Energy Info (EERE)

    Atlas (PACA Region - France) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Atlas (PACA Region - France) AgencyCompany Organization: MINES ParisTech Sector:...

  2. Ontario Renewable Energy Atlas (Canada) | Open Energy Information

    Open Energy Info (EERE)

    Renewable Energy Atlas (Canada) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Ontario Renewable Energy Atlas (Canada) Focus Area: Renewable Energy Topics: Potentials &...

  3. DOE - NNSA/NFO -- Photo Library ATLAS

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

    ATLAS NNSA/NFO Language Options U.S. DOE/NNSA - Nevada Field Office Photo Library - ATLAS Pulsed-Power Generator The ATLAS pulsed-power generator is one of many alternatives to underground nuclear testing. Pulsed power can concentrate high total energies on larger (centimeter-scale) experimental targets for relatively long periods of times compared to other Stockpile Stewardship experiments. Instructions: Click the photograph THUMBNAIL to view the photograph details Click the Category, Number,

  4. ATLAS_Strategic_Plan_09_v5

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

    Argonne Tandem Linac Accelerator System Physics Division Argonne National Laboratory Argonne, IL November 2009 2 Introduction This strategic plan is developed jointly by the ATLAS user community and the Physics Division at Argonne National Laboratory. This plan is a public document, hence available to the entire ATLAS user community, and is updated as the need arises. In practice, the community discusses this plan at regular ATLAS Users Workshops, the most recent of which was held on August 8-9,

  5. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  6. ATLAS APPROVED IN-BEAM EXPERIMENTS

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

    7 785 Baktash Band Termination, Superdeformation and Complex Clusters in 32S 5 TOTAL 82 ATLAS APPROVED SOURCE EXPERIMENTS (Depending on Gammasphere Availability) Exp Spokesperson...

  7. Wind Power Forecasting Data

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

    Operations Call 2012 Retrospective Reports 2012 Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email...

  8. Offshore Wind

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

    Lab Photovoltaic Systems Evaluation Laboratory PV Regional ... Facility Geomechanics and Drilling Labs National ... Twitter Google + Vimeo GovDelivery SlideShare Offshore Wind ...

  9. NREL: Wind Research - Wind Career Map Shows Wind Industry Career...

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

    Wind Career Map Shows Wind Industry Career Opportunities, Paths A screenshot of the wind career map showing the various points on a chart that show different careers in the wind...

  10. Wind Powering America Initiative (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-01-01

    The U.S. Department of Energy's Wind Powering America initiative engages in technology market acceptance, barrier reduction, and technology deployment support activities. This fact sheet outlines ways in which the Wind Powering America team works to reduce barriers to appropriate wind energy deployment, primarily by focusing on six program areas: workforce development, communications and outreach, stakeholder analysis and resource assessment, wind technology technical support, wind power for Native Americans, and federal sector support and collaboration.

  11. NREL: Wind Research - Systems Engineering Home Page

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

    Systems Engineering Wind Research The National Wind Technology Center (NWTC) wind energy systems engineering initiative has developed an analysis platform to leverage its research capabilities toward integrating wind energy engineering and cost models across wind plants. This platform captures the important interactions between various subsystems to achieve a better understanding of how to improve system-level performance and achieve system-level cost reductions. The initiative's goal is to

  12. Upgrading the ATLAS control system

    SciTech Connect (OSTI)

    Munson, F.H.; Ferraretto, M.

    1993-09-01

    Heavy-ion accelerators are tools used in the research of nuclear and atomic physics. The ATLAS facility at the Argonne National Laboratory is one such tool. The ATLAS control system serves as the primary operator interface to the accelerator. A project to upgrade the control system is presently in progress. Since this is an upgrade project and not a new installation, it was imperative that the development work proceed without interference to normal operations. An additional criteria for the development work was that the writing of additional ``in-house`` software should be kept to a minimum. This paper briefly describes the control system being upgraded, and explains some of the reasons for the decision to upgrade the control system. Design considerations and goals for the new system are described, and the present status of the upgrade is discussed.

  13. Portsmouth Abbey School Wind Turbine Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Abbey School Wind Turbine Wind Farm Jump to: navigation, search Name Portsmouth Abbey School Wind Turbine Wind Farm Facility Portsmouth Abbey School Wind Turbine Sector Wind energy...

  14. Harbec Plastic Wind Turbine Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Harbec Plastic Wind Turbine Wind Farm Jump to: navigation, search Name Harbec Plastic Wind Turbine Wind Farm Facility Harbec Plastic Wind Turbine Sector Wind energy Facility Type...

  15. Stetson Wind Expansion Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Stetson Wind Expansion Wind Farm Jump to: navigation, search Name Stetson Wind Expansion Wind Farm Facility Stetson Wind Expansion Sector Wind energy Facility Type Commercial Scale...

  16. Wind Power Partners '94 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    4 Wind Farm Jump to: navigation, search Name Wind Power Partners '94 Wind Farm Facility Wind Power Partners '94 Sector Wind energy Facility Type Commercial Scale Wind Facility...

  17. Wethersfield Wind Power Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wethersfield Wind Power Wind Farm Jump to: navigation, search Name Wethersfield Wind Power Wind Farm Facility Wethersfield Wind Power Sector Wind energy Facility Type Commercial...

  18. State Fair Wind Energy Education Center Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Fair Wind Energy Education Center Wind Farm Jump to: navigation, search Name State Fair Wind Energy Education Center Wind Farm Facility Wind Energy Education Center Sector Wind...

  19. Wind Turbine System State Awareness - Energy Innovation Portal

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

    Marketing SummaryResearchers at the Los Alamos National Laboratory Intelligent Wind Turbine Program are developing a multi-physics modeling approach for the analysis of wind...

  20. The Economics of Wind Energy | Open Energy Information

    Open Energy Info (EERE)

    Organization: European Wind Energy Association Sector: Energy Focus Area: Renewable Energy, Wind Topics: Market analysis Resource Type: Publications Website: www.ewea.org...

  1. Sandia Energy - Increasing the Scaled Wind Farm Technology Facility...

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

    Power Production Home Renewable Energy Energy SWIFT Facilities Partnership News Wind Energy News & Events Systems Analysis Increasing the Scaled Wind Farm Technology...

  2. Sandia Energy - Scaled Wind Farm Technology Facility Baselining...

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

    Project Accelerates Work Home Renewable Energy Energy SWIFT Facilities Partnership News Wind Energy News & Events Systems Analysis Scaled Wind Farm Technology Facility Baselining...

  3. Danielson Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Danielson Wind Facility Danielson Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Juhl Wind...

  4. Kawailoa Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Kawailoa Wind Facility Kawailoa Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  5. Palouse Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Palouse Wind Facility Palouse Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  6. Harbor Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Harbor Wind Facility Harbor Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Harbor Wind LLC...

  7. Kahuku Wind | Open Energy Information

    Open Energy Info (EERE)

    Kahuku Wind Jump to: navigation, search Name Kahuku Wind Facility Kahuku Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  8. Wiota Wind | Open Energy Information

    Open Energy Info (EERE)

    Wiota Wind Jump to: navigation, search Name Wiota Wind Facility Wiota Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Wiota Wind Energy LLC...

  9. Bravo Wind | Open Energy Information

    Open Energy Info (EERE)

    Bravo Wind Jump to: navigation, search Name Bravo Wind Facility Bravo Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status Proposed Developer Bravo Wind LLC...

  10. Auwahi Wind | Open Energy Information

    Open Energy Info (EERE)

    Auwahi Wind Jump to: navigation, search Name Auwahi Wind Facility Auwahi Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner BP Wind Energy...

  11. Traer Wind | Open Energy Information

    Open Energy Info (EERE)

    Traer Wind Jump to: navigation, search Name Traer Wind Facility Traer Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Norsemen Wind Energy LLC...

  12. Sheffield Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Sheffield Wind Facility Sheffield Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  13. Rollins Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Rollins Wind Facility Rollins Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  14. Vector and Scalar Bosons at DØ and ATLAS

    SciTech Connect (OSTI)

    Lammers, Sabine Sabine

    2014-09-26

    Vector Boson Fusion (VBF) has never been measured in hadron collisions, but it is one of the most sensitive modes for low mass Standard Model Higgs production at ATLAS. The objective of this proposal is to measure VBF production of W and Z bosons at the DØ Experiment taking place at the Tevatron Collider near Chicago, Illinois, and at the ATLAS Experiment, running at the Large Hadron Collider in Geneva, Switzerland. The framework developed in these measurements will be used to discover and study the Higgs Boson produced through the same mechanism (VBF) at ATLAS. The 10 f b−1 dataset recently collected by the DØ experiment provides a unique opportunity to observe evidence of VBF production of W Bosons, which will provide the required theoretical knowledge - VBF cross sections - and experimental knowledge - tuning of measurement techniques - on which to base the VBF measurements at the LHC. At the time of this writing, the ATLAS experiment has recorded 5 fb−1 of data at √s = 7 TeV, and expects to collect at least another 5 in 2012. Assuming Standard Model cross sections, this dataset will allow for the observation of VBF production of W, Z and Higgs bosons. The major challenges for the first observation of VBF interactions are: developing highly optimized forward jet identification algorithms, and accurately modeling both rates and kinematics of background processes. With the research program outlined in this grant proposal, I plan to address each of these areas, paving the way for VBF observation. The concentration on VBF production for the duration of this grant will be at ATLAS where the anticipated high pileup rates necessitates a cleaner signal. My past experience with forward jet identification at the ZEUS experiment, and with W+(n)Jets measurements at DØ , puts me in a unique position to lead this effort. The proposed program will have a dual focus: on DØ where the VBF analysis effort is mature and efforts of a postdoc will be required to bring the VBF W analysis to a paper, and at ATLAS where a graduate student will begin the effort. I therefore request funding for a student and a postdoc, as well as summer support for myself, for the four year duration of the grant proposal. I also request travel funds to facilitate interactions with my group, presentation at conferences, and a modest amount of money to purchase computing resources.

  15. Wyoming Wind Power Project (generation/wind)

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

    Wind Power > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Wyoming Wind Power Project (Foote Creek Rim I and II) Thumbnail image of wind...

  16. Research on data from the ATLAS experiment at CERN

    SciTech Connect (OSTI)

    Purohit, Milind V.

    2015-07-31

    In this report senior investigator Prof. Milind V. Purohit describes research done with data from the ATLAS experiment at CERN. This includes preparing papers on the performance of the CSC detector, searches for SUSY using a new modern ''big data'' technique, and a search for supersymmetry (SUSY) using the "zero leptons razor" (0LRaz) technique. The prediction of the W=Z+jets background processes by the ATLAS simulation prior to the fit is found to be overestimated in the phase space of interest. In all new signal regions presented in this analysis the number of events observed is consistent with the post-fit SM expectations. Assuming R-parity conservation, the limit on the gluino mass exceeds 1150 GeV at 95% confidence level, for an LSP mass smaller than 100 GeV. Other USC personnel who participated in this project during the period of this grant were a graduate student, Anton Kravchenko.

  17. Controlling Wind Turbines for Secondary Frequency Regulation: An Analysis of AGC Capabilities Under New Performance Based Compensation Policy: Preprint

    SciTech Connect (OSTI)

    Aho, J.; Pao, L. Y.; Fleming, P.; Ela, E.

    2015-02-01

    As wind energy becomes a larger portion of the world's energy portfolio there has been an increased interest for wind turbines to control their active power output to provide ancillary services which support grid reliability. One of these ancillary services is the provision of frequency regulation, also referred to as secondary frequency control or automatic generation control (AGC), which is often procured through markets which recently adopted performance-based compensation. A wind turbine with a control system developed to provide active power ancillary services can be used to provide frequency regulation services. Simulations have been performed to determine the AGC tracking performance at various power schedule set-points, participation levels, and wind conditions. The performance metrics used in this study are based on those used by several system operators in the US. Another metric that is analyzed is the damage equivalent loads (DELs) on turbine structural components, though the impacts on the turbine electrical components are not considered. The results of these single-turbine simulations show that high performance scores can be achieved when there is sufficient wind resource available. The capability of a wind turbine to rapidly and accurately follow power commands allows for high performance even when tracking rapidly changing AGC signals. As the turbine de-rates to meet decreased power schedule set-points there is a reduction in the DELs, and the participation in frequency regulation has a negligible impact on these loads.

  18. European Wind Energy Conference Exhibition

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

    European Wind Energy Conference & Exhibition 2009 Parc Chanot, Marseille, France 16-19 March 2009 ACTIVE AERODYNAMIC BLADE CONTROL DESIGN FOR LOAD REDUCTION ON LARGE WIND TURBINES David G. Wilson ∗ , Dale E. Berg, Mathew F. Barone, Jonathan C. Berg, Brian R. Resor and Don W. Lobitz Energy Systems Analysis ∗ / Wind Energy Technology Sandia National Laboratories, P.O. Box 5800 Albuquerque, New Mexico 87185-1108 Email: {dwilso,deberg,mbarone,jcberg,brresor,dwlobit}@sandia.gov ABSTRACT

  19. Analysis of events with b-jets and a pair of leptons of the same charge in pp collisions at √s = 8 TeV with the ATLAS detector

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

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; et al

    2015-10-22

    An analysis is presented of events containing jets including at least one b -tagged jet, sizeable missing transverse momentum, and at least two leptons including a pair of the same electric charge, with the scalar sum of the jet and lepton transverse momenta being large. A data sample with an integrated luminosity of 20.3 fb–1 of pp collisions at √s = 8 TeV recorded by the ATLAS detector at the Large Hadron Collider is used. Standard Model processes rarely produce these final states, but there are several models of physics beyond the Standard Model that predict an enhanced rate ofmore » production of such events; the ones considered here are production of vector-like quarks, enhanced four-top-quark production, pair production of chiral b'-quarks, and production of two positively charged top quarks. Eleven signal regions are defined; subsets of these regions are combined when searching for each class of models. In the three signal regions primarily sensitive to positively charged top quark pair production, the data yield is consistent with the background expectation. There are more data events than expected from background in the set of eight signal regions defined for searching for vector-like quarks and chiral b'-quarks, but the significance of the discrepancy is less than two standard deviations. Furthermore, the discrepancy reaches 2.5 standard deviations in the set of five signal regions defined for searching for four-top-quark production. The results are used to set 95% CL limits on various models.« less

  20. Analysis of events with b-jets and a pair of leptons of the same charge in pp collisions at ?s = 8 TeV with the ATLAS detector

    SciTech Connect (OSTI)

    Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; AbouZeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Affolder, A. A.; Agatonovic-Jovin, T.; Aguilar-Saavedra, J. A.; Agustoni, M.; Ahlen, S. P.; Ahmadov, F.; Aielli, G.; Akerstedt, H.; kesson, T. P. A.; Akimoto, G.; Akimov, A. V.; Alberghi, G. L.; Albert, J.; Albrand, S.; Alconada Verzini, M. J.; Aleksa, M.; Aleksandrov, I. N.; Alexa, C.; Alexander, G.; Alexopoulos, T.; Alhroob, M.; Alimonti, G.; Alio, L.; Alison, J.; Alkire, S. P.; Allbrooke, B. M. M.; Allport, P. P.; Aloisio, A.; Alonso, A.; Alonso, F.; Alpigiani, C.; Altheimer, A.; Alvarez Gonzalez, B.; lvarez Piqueras, D.; Alviggi, M. G.; Amako, K.; Amaral Coutinho, Y.; Amelung, C.; Amidei, D.; Amor Dos Santos, S. P.; Amorim, A.; Amoroso, S.; Amram, N.; Amundsen, G.; Anastopoulos, C.; Ancu, L. S.; Andari, N.; Andeen, T.; Anders, C. F.; Anders, G.; Anderson, K. J.; Andreazza, A.; Andrei, V.; Angelidakis, S.; Angelozzi, I.; Anger, P.; Angerami, A.; Anghinolfi, F.; Anisenkov, A. V.; Anjos, N.; Annovi, A.; Antonelli, M.; Antonov, A.; Antos, J.; Anulli, F.; Aoki, M.; Aperio Bella, L.; Arabidze, G.; Arai, Y.; Araque, J. P.; Arce, A. T. H.; Arduh, F. A.; Arguin, J-F.; Argyropoulos, S.; Arik, M.; Armbruster, A. J.; Arnaez, O.; Arnal, V.; Arnold, H.; Arratia, M.; Arslan, O.; Artamonov, A.; Artoni, G.; Asai, S.; Asbah, N.; Ashkenazi, A.; sman, B.; Asquith, L.; Assamagan, K.; Astalos, R.; Atkinson, M.; Atlay, N. B.; Auerbach, B.; Augsten, K.; Aurousseau, M.; Avolio, G.; Axen, B.; Ayoub, M. K.; Azuelos, G.; Baak, M. A.; Baas, A. E.; Bacci, C.; Bachacou, H.; Bachas, K.; Backes, M.; Backhaus, M.; Badescu, E.; Bagiacchi, P.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J. T.; Baker, O. K.; Balek, P.; Balestri, T.; Balli, F.; Banas, E.; Banerjee, Sw.; Bannoura, A. A. E.; Bansil, H. S.; Barak, L.; Baranov, S. P.; Barberio, E. L.; Barberis, D.; Barbero, M.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnes, S. L.; Barnett, B. M.; Barnett, R. M.; Barnovska, Z.; Baroncelli, A.; Barone, G.; Barr, A. J.; Barreiro, F.; Barreiro Guimares da Costa, J.; Bartoldus, R.; Barton, A. E.; Bartos, P.; Bassalat, A.; Basye, A.; Bates, R. L.; Batista, S. J.; Batley, J. R.; Battaglia, M.; Bauce, M.; Bauer, F.; Bawa, H. S.; Beacham, J. B.; Beattie, M. D.; Beau, T.; Beauchemin, P. H.; Beccherle, R.; Bechtle, P.; Beck, H. P.; Becker, K.; Becker, M.; Becker, S.; Beckingham, M.; Becot, C.; Beddall, A. J.; Beddall, A.; Bednyakov, V. A.; Bee, C. P.; Beemster, L. J.; Beermann, T. A.; Begel, M.; Behr, J. K.; Belanger-Champagne, C.; Bell, P. J.; Bell, W. H.; Bella, G.; Bellagamba, L.; Bellerive, A.; Bellomo, M.; Belotskiy, K.; Beltramello, O.; Benary, O.; Benchekroun, D.; Bender, M.; Bendtz, K.; Benekos, N.; Benhammou, Y.; Benhar Noccioli, E.; Benitez Garcia, J. A.; Benjamin, D. P.; Bensinger, J. R.; Bentvelsen, S.; Beresford, L.; Beretta, M.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Beringer, J.; Bernard, C.; Bernard, N. R.; Bernius, C.; Bernlochner, F. U.; Berry, T.; Berta, P.; Bertella, C.; Bertoli, G.; Bertolucci, F.; Bertsche, C.; Bertsche, D.; Besana, M. I.; Besjes, G. J.; Bessidskaia Bylund, O.; Bessner, M.; Besson, N.; Betancourt, C.; Bethke, S.; Bevan, A. J.; Bhimji, W.; Bianchi, R. M.; Bianchini, L.; Bianco, M.; Biebel, O.; Bieniek, S. P.; Biglietti, M.; Bilbao De Mendizabal, J.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Black, C. W.; Black, J. E.; Black, K. M.; Blackburn, D.; Blair, R. E.; Blanchard, J. -B.; Blanco, J. E.; Blazek, T.; Bloch, I.; Blocker, C.; Blum, W.; Blumenschein, U.; Bobbink, G. J.; Bobrovnikov, V. S.; Bocchetta, S. S.; Bocci, A.; Bock, C.; Boehler, M.; Bogaerts, J. A.; Bogdanchikov, A. G.; Bohm, C.; Boisvert, V.; Bold, T.; Boldea, V.; Boldyrev, A. S.; Bomben, M.; Bona, M.; Boonekamp, M.; Borisov, A.; Borissov, G.; Borroni, S.; Bortfeldt, J.; Bortolotto, V.; Bos, K.; Boscherini, D.; Bosman, M.; Boudreau, J.; Bouffard, J.; Bouhova-Thacker, E. V.; Boumediene, D.; Bourdarios, C.; Bousson, N.; Boutouil, S.; Boveia, A.; Boyd, J.; Boyko, I. R.; Bozic, I.; Bracinik, J.; Brandt, A.; Brandt, G.; Brandt, O.; Bratzler, U.; Brau, B.; Brau, J. E.; Braun, H. M.; Brazzale, S. F.; Brendlinger, K.; Brennan, A. J.; Brenner, L.; Brenner, R.; Bressler, S.; Bristow, K.; Bristow, T. M.; Britton, D.; Britzger, D.; Brochu, F. M.; Brock, I.; Brock, R.; Bronner, J.; Brooijmans, G.; Brooks, T.; Brooks, W. K.; Brosamer, J.; Brost, E.; Brown, J.; Bruckman de Renstrom, P. A.; Bruncko, D.; Bruneliere, R.; Bruni, A.; Bruni, G.; Bruschi, M.; Bryngemark, L.; Buanes, T.; Buat, Q.; Buchholz, P.; Buckley, A. G.; Buda, S. I.; Budagov, I. A.; Buehrer, F.; Bugge, L.

    2015-10-22

    An analysis is presented of events containing jets including at least one b -tagged jet, sizeable missing transverse momentum, and at least two leptons including a pair of the same electric charge, with the scalar sum of the jet and lepton transverse momenta being large. A data sample with an integrated luminosity of 20.3 fb1 of pp collisions at ?s = 8 TeV recorded by the ATLAS detector at the Large Hadron Collider is used. Standard Model processes rarely produce these final states, but there are several models of physics beyond the Standard Model that predict an enhanced rate of production of such events; the ones considered here are production of vector-like quarks, enhanced four-top-quark production, pair production of chiral b'-quarks, and production of two positively charged top quarks. Eleven signal regions are defined; subsets of these regions are combined when searching for each class of models. In the three signal regions primarily sensitive to positively charged top quark pair production, the data yield is consistent with the background expectation. There are more data events than expected from background in the set of eight signal regions defined for searching for vector-like quarks and chiral b'-quarks, but the significance of the discrepancy is less than two standard deviations. Furthermore, the discrepancy reaches 2.5 standard deviations in the set of five signal regions defined for searching for four-top-quark production. The results are used to set 95% CL limits on various models.

  1. Network Wind Power Over the Pacific Northwest. Progress Report, October 1979-September 1980.

    SciTech Connect (OSTI)

    Baker, Robert W.; Hewson, E. Wendell

    1980-10-01

    The research in FY80 is composed of six primary tasks. These tasks include data collection and analysis, wind flow studies around an operational wind turbine generator (WTG), kite anemometer calibration, wind flow analysis and prediction, the Klickitat County small wind energy conversion system (SWECS) program, and network wind power analysis. The data collection and analysis task consists of four sections, three of which deal with wind flow site surveys and the fourth with collecting and analyzing wind data from existing data stations. This report also includes an appendix which contains mean monthly wind speed data summaries, wind spectrum summaries, time series analysis plots, and high wind summaries.

  2. The National Wind Energy Skills Assessment and Preparing for the Future Wind Workforce; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Tegen, Suzanne

    2015-07-10

    A robust workforce is essential to growing domestic wind manufacturing capabilities. This presentation provides an overview of an NREL analysis of wind-focused education at American colleges and universities. The second part of the presentation discusses DOE/NREL workforce-related projects, such as the Wind Career Map, the Collegiate Wind Competition, and the Wind for Schools project.

  3. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

    The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

  4. ATLAS Enhanced Capabilities and Questions | Department of Energy

    Energy Savers [EERE]

    ATLAS Enhanced Capabilities and Questions ATLAS Enhanced Capabilities and Questions Enhanced Capabilities ATLAS provides an enterprise wide solution for managing DOE's transportation activities. ATLAS combined and enhanced the existing tools in a reliable, efficient, user friendly and secure cloud platform. ATLAS tools and electronic forms were designed by expert users to promote compliance in an intuitive (logical and easy to use) format and to provide easy access for qualified users.

  5. WINDExchange: Selling Wind Power

    Wind Powering America (EERE)

    Market Sectors Printable Version Bookmark and Share Utility-Scale Wind Distributed Wind Motivations for Buying Wind Power Buying Wind Power Selling Wind Power Selling Wind Power Owners of wind turbines interconnected directly to the transmission or distribution grid, or that produce more power than the host consumes, can sell wind power as well as other generation attributes. Wind-Generated Electricity Electricity generated by wind turbines can be used to cover on-site energy needs

  6. From whence did ATLAS arise?

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

    whence did ATLAS arise? (the quarter century: ~1960-85) Once upon a time, there was an Argonne tandem (started ~1960) Here is a typical schedule from the 60-s. 2 We even had an outside user program: 3 We had one of the first computer-based (ASI 2100) data acquisition systems (8192 words of memory, 4096 for a data array, 3111 for the program): 4 The research program was very productive for about a decade, focusing on the systematic exploration of nuclear structure and reactions with light ions: 5

  7. wind turbines

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

    wind turbines - 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

  8. ANALYSIS OF THE PERFORMANCE AND COST EFFECTIVENESS OF NINE SMALL WIND ENERGY CONVERSION SYSTEMS FUNDED BY THE DOE SMALL GRANTS PROGRAM

    SciTech Connect (OSTI)

    Kay, J.

    1982-04-01

    This report presents an analysis of the technical performance and cost effectiveness of nine small wind energy conversion systems (SWECS) funded during FY 1979 by the U.S. Department of Energy. Chapter 1 gives an analytic framework with which to evaluate the systems. Chapter 2 consists of a review of each of the nine projects, including project technical overviews, estimates of energy savings, and results of economic analysis. Chapter 3 summarizes technical, economic, and institutional barriers that are likely to inhibit widespread dissemination of SWECS technology.

  9. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

    2014-04-04

    The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directions, and flight altitudes of nocturnal migrating species. Our work focused on the design and development of custom built marine radar that used t-bar and parabolic dish antennas. The marine radar used in the project was Furuno (XANK250) which was coupled with a XIR3000B digitizing card from Russell Technologies for collection of the radar data. The radar data was processed by open source radR processing software using different computational techniques and methods. Additional data from thermal IR imaging cameras were collected to detect heat emitted from objects and provide information on movements of birds and bats, data which we used for different animal flight behavior analysis. Lastly, the data from the acoustic recorders were used to provide the number of bird calls for assessing patterns and peak passage rates during migration. The development of the geospatial database included collection of different data sources that are used to support offshore wind turbine development. Many different data sets were collected and organized using initial version of web-based repository software tools that can accommodate distribution of rectified pertinent data sets such as the lake depth, lake bottom engineering parameters, extent of ice, navigation pathways, wind speed, important bird habitats, fish efforts and other layers that are relevant for supporting robust offshore wind turbine developments. Additional geospatial products developed during the project included few different prototypes for offshore wind farm suitability which can involve different stakeholders and participants for solving complex planning problems and building consensus. Some of the prototypes include spatial decision support system (SDSS) for collaborative decision making, a web-based Participatory Geographic Information System (PGIS) framework for evaluating importance of different decision alternatives using different evaluation criteria, and an Android application for collection of field data using mobile and tablet devices . In summary, the simulations of two- and three-blade wind turbines suggested that two-bladed machines could produce comparable annual energy as the three-blade wind turbines but have a lighter tower top weight, which leads to lower cost of energy. In addition, the two-blade rotor configuration potentially costs 20% less than a three blade configuration that produces the same power at the same site. The cost model analysis predicted a potential cost savings of approximately 15% for offshore two-blade wind turbines. The foundation design for a wind turbine in Lake Erie is likely to be driven by ice loads based on the currently available ice data and ice mechanics models. Hence, for Lake Eire, the cost savings will be somewhat smaller than the other lakes in the Great Lakes. Considering the size of cranes and vessels currently available in the Great Lakes, the cost optimal wind turbine size should be 3 MW, not larger. The surveillance data from different monitoring systems suggested that bird and bat passage rates per hour were comparable during heavy migrations in both spring and fall seasons while passage rates were significantly correlated to wind directions and wind speeds. The altitude of migration was higher during heavy migrations and higher over water relative to over land. Notable portions of migration on some spring nights occurred parallel the shoreline, often moving perpendicular to southern winds. The birds approaching the Western basin have a higher propensity to cross than birds approaching the Central basin of Lake Erie and as such offshore turbine development might be a better option further east towards Cleveland than in the Western basin. The high stopover density was more strongly associated with migration volume the following night rather than the preceding night. The processed mean scalar wind speeds with temporal resolutions as fine as 10-minute intervals near turbine height showed that August is the month with the weakest winds while December is the month, which typically has the strongest winds. The ice data suggests that shallow western basin of Lake Erie has higher ice cover duration many times exceeding 90 days during some winters.

  10. Dynamic Analysis of Electrical Power Grid Delivery: Using Prime Mover Engines to Balance Dynamic Wind Turbine Output

    SciTech Connect (OSTI)

    Diana K. Grauer

    2011-10-01

    This paper presents an investigation into integrated wind + combustion engine high penetration electrical generation systems. Renewable generation systems are now a reality of electrical transmission. Unfortunately, many of these renewable energy supplies are stochastic and highly dynamic. Conversely, the existing national grid has been designed for steady state operation. The research team has developed an algorithm to investigate the feasibility and relative capability of a reciprocating internal combustion engine to directly integrate with wind generation in a tightly coupled Hybrid Energy System. Utilizing the Idaho National Laboratory developed Phoenix Model Integration Platform, the research team has coupled demand data with wind turbine generation data and the Aspen Custom Modeler reciprocating engine electrical generator model to investigate the capability of reciprocating engine electrical generation to balance stochastic renewable energy.

  11. Economic analysis of wind-powered refrigeration cooling/water-heating systems in food processing. Final report

    SciTech Connect (OSTI)

    Garling, W.S.; Harper, M.R.; Merchant-Geuder, L.; Welch, M.

    1980-03-01

    Potential applications of wind energy include not only large central turbines that can be utilized by utilities, but also dispersed systems for farms and other applications. The US Departments of Energy (DOE) and Agriculture (USDA) currently are establishing the feasibility of wind energy use in applications where the energy can be used as available, or stored in a simple form. These applications include production of hot water for rural sanitation, heating and cooling of rural structures and products, drying agricultural products, and irrigation. This study, funded by USDA, analyzed the economic feasibility of wind power in refrigeration cooling and water heating systems in food processing plants. Types of plants included were meat and poultry, dairy, fruit and vegetable, and aquaculture.

  12. World Bank eAtlas of Global Development | Open Energy Information

    Open Energy Info (EERE)

    World Bank eAtlas of Global Development1 "This eAtlas, a new online companion to Atlas of Global Development, third edition, builds on the Atlas topics, allowing you to...

  13. The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis

    SciTech Connect (OSTI)

    Eric Lantz

    2012-09-21

    To gain an understanding of the long-term county-level impacts from a large sample of wind power projects and to understand the potential significance of methodological criticisms, the U.S. Department of Agriculture, the Lawrence Berkeley National Laboratory, and the National Renewable Energy Laboratory recently joined efforts to complete a first-of-its-kind study that quantifies the annual impact on county-level personal income resulting from wind power installations in nearly 130 counties across 12 states. The results of this study as well as a comparison with the prior county-level estimates generated from input-output models, are summarized in the fact sheet.

  14. Milford Wind Corridor Phase I (Clipper) Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Clipper) Wind Farm Jump to: navigation, search Name Milford Wind Corridor Phase I (Clipper) Wind Farm Facility Milford Wind Corridor Phase I (Clipper) Sector Wind energy Facility...

  15. JD Wind 6 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    JD Wind 6 Wind Farm Jump to: navigation, search Name JD Wind 6 Wind Farm Facility JD Wind 6 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  16. JD Wind 7 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    JD Wind 7 Wind Farm Jump to: navigation, search Name JD Wind 7 Wind Farm Facility JD Wind 7 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  17. Michigan Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name Michigan Wind II Wind Farm Facility Michigan Wind II Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  18. Metro Wind LLC Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind LLC Wind Farm Jump to: navigation, search Name Metro Wind LLC Wind Farm Facility Metro Wind LLC Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  19. Microsoft Word - Wind RD Brief_FINAL.doc

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

    Planning, Budget and Analysis U.S. Department of Energy * Office of Energy Efficiency and Renewable Energy DOE Wind Energy R&D is Linked to Innovations Within and Outside Wind Power Industry, Study Finds Advances in today's commercial wind energy generation are extensively linked to the Department of Energy's (DOE) three decades of investments in wind energy research, according to an independent evaluation study. Prior to DOE's Wind Energy Program, wind technology performed poorly, cost

  20. An Earth-Friendly Wind Vision | Department of Energy

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

    An Earth-Friendly Wind Vision An Earth-Friendly Wind Vision April 22, 2015 - 7:30am Addthis An Earth-Friendly Wind Vision Wind energy is a clean, domestic energy source that requires little to no water and creates no air pollution when compared with conventional energy technologies. In the Energy Department's new Wind Vision Report, a collaborative effort of more than 250 experts informed a comprehensive analysis that quantified the future national benefits of wind power, including reduced

  1. Garnet Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Garnet Wind Facility Garnet Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Azusa Light & Water...

  2. Lime Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Lime Wind Facility Lime Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Joseph Millworks Inc...

  3. Fairhaven Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Fairhaven Wind Facility Fairhaven Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Solaya Energy Palmer...

  4. Scituate Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Scituate Wind Facility Scituate Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Solaya Energy ...

  5. Pacific Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Pacific Wind Facility Pacific Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner enXco Developer...

  6. Galactic Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Galactic Wind Facility Galactic Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Epic Systems...

  7. Rockland Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Rockland Wind Facility Rockland Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Ridgeline...

  8. Greenfield Wind | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name Greenfield Wind Facility Greenfield Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Greenfield Wind Power...

  9. Willmar Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Willmar Wind Facility Willmar Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Willmar...

  10. Wind Program News

    SciTech Connect (OSTI)

    2012-01-06

    Stay current on the news about the wind side of the Wind and Water Power Program and important wind energy events around the U.S.

  11. Energy 101: Wind Turbines

    ScienceCinema (OSTI)

    None

    2013-05-29

    See how wind turbines generate clean electricity from the power of the wind. Highlighted are the various parts and mechanisms of a modern wind turbine.

  12. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C. (Glastonbury, CT)

    1982-01-01

    A wind turbine of the type having an airfoil blade (15) mounted on a flexible beam (20) and a pitch governor (55) which selectively, torsionally twists the flexible beam in response to wind turbine speed thereby setting blade pitch, is provided with a limiter (85) which restricts unwanted pitch change at operating speeds due to torsional creep of the flexible beam. The limiter allows twisting of the beam by the governor under excessive wind velocity conditions to orient the blades in stall pitch positions, thereby preventing overspeed operation of the turbine. In the preferred embodiment, the pitch governor comprises a pendulum (65,70) which responds to changing rotor speed by pivotal movement, the limiter comprising a resilient member (90) which engages an end of the pendulum to restrict further movement thereof, and in turn restrict beam creep and unwanted blade pitch misadjustment.

  13. NREL: Wind Research - News Release Archives

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

    News Archives - 2014 November 6, 2014 NREL Analyzes Floating Offshore Wind Technology for Statoil NREL engineers traveled to Oslo, Norway, to meet with Statoil representatives regarding NREL's analysis of Statoil's Hywind II offshore floating wind turbine design. November 3, 2014 NREL/DOE Develop Collaboration with Japan's Offshore Wind Programs A delegation from the offshore wind technical teams of the Energy Department and its National Renewable Energy Laboratory recently traveled to Japan to

  14. NREL: Wind Research - Wind Resource Assessment

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

    Wind Resource Assessment A map of the United States is color-coded to indicate the high winds at 80 meters. This map shows the wind resource at 80 meters for both land-based and...

  15. Modeling Sensitivities to the 20% Wind Scenario Report with the WinDS Model

    SciTech Connect (OSTI)

    Blair, N.; Hand, M.; Short, W.; Sullivan, P.

    2008-06-01

    In May 2008, DOE published '20% Wind Energy by 2030', a report which describes the costs and benefits of producing 20% of the nation's projected electricity demand in 2030 from wind technology. The total electricity system cost resulting from this scenario was modestly higher than a scenario in which no additional wind was installed after 2006. NREL's Wind Deployment System (WinDS) model was used to support this analysis. With its 358 regions, explicit treatment of transmission expansion, onshore siting considerations, shallow- and deep-water wind resources, 2030 outlook, explicit financing assumptions, endogenous learning, and stochastic treatment of wind resource variability, WinDS is unique in the level of detail it can bring to this analysis. For the 20% Wind Energy by 2030 analysis, the group chose various model structures (such as the ability to wheel power within an interconnect), and the wind industry agreed on a variety of model inputs (such as the cost of transmission or new wind turbines). For this paper, the analysis examined the sensitivity of the results to variations in those input values and model structure choices. These included wind cost and performance improvements over time, seasonal/diurnal wind resource variations, transmission access and costs, siting costs, conventional fuel cost trajectories, and conventional capital costs.

  16. NREL: Wind Research - Offshore Wind Research

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

    Standards and Testing NREL's Offshore Wind Testing Capabilities 35 years of wind turbine testing experience Custom high speed data acquisition system integrated for offshore...

  17. Wind Integration National Dataset (WIND) Toolkit

    Broader source: Energy.gov [DOE]

    For utility companies, grid operators and other stakeholders interested in wind energy integration, collecting large quantities of high quality data on wind energy resources is vitally important....

  18. Solar and Wind Energy Resource Assessment (SWERA)

    Open Energy Info (EERE)

    Wiki Page Solar and Wind Energy Resource Assessment A United Nations Environment Programme facilitated effort. Getting Started Data Sets Analysis Tools About SWERA Loading.....

  19. NREL: Wind Research - Gearbox Reliability Collaborative

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

    impact on the cost of wind farm operations. In 2007, NREL initiated the Gearbox Reliability Collaborative (GRC). The project combines analysis, field testing, dynamometer...

  20. Argonne Physics Division - ATLAS - PAC December 14-15, 2012

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

    December 14-15, 2012 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments...

  1. Argonne Physics Division - ATLAS - PAC January 13-14, 2012

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

    January 13-14, 2012 ATLAS PAC Meeting Please note: Because of the pressure on ATLAS beam time, the PAC ranked the approved experiments in two categories. Priority I experiments are...

  2. Analysis of Precipitation (Rain and Snow) Levels and Straight-line Wind Speeds in Support of the 10-year Natural Phenomena Hazards Review for Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Kelly, Elizabeth J.; Dewart, Jean Marie; Deola, Regina

    2015-12-10

    This report provides site-specific return level analyses for rain, snow, and straight-line wind extreme events. These analyses are in support of the 10-year review plan for the assessment of meteorological natural phenomena hazards at Los Alamos National Laboratory (LANL). These analyses follow guidance from Department of Energy, DOE Standard, Natural Phenomena Hazards Analysis and Design Criteria for DOE Facilities (DOE-STD-1020-2012), Nuclear Regulatory Commission Standard Review Plan (NUREG-0800, 2007) and ANSI/ ANS-2.3-2011, Estimating Tornado, Hurricane, and Extreme Straight-Line Wind Characteristics at Nuclear Facility Sites. LANL precipitation and snow level data have been collected since 1910, although not all years are complete. In this report the results from the more recent data (19902014) are compared to those of past analyses and a 2004 National Oceanographic and Atmospheric Administration report. Given the many differences in the data sets used in these different analyses, the lack of statistically significant differences in return level estimates increases confidence in the data and in the modeling and analysis approach.

  3. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  4. An atlas of thermal data for biomass and other fuels

    SciTech Connect (OSTI)

    Gaur, S.; Reed, T.B.

    1995-06-01

    Biomass is recognized as a major source of renewable energy. In order to convert biomass energy to more useful forms, it is necessary to have accurate scientific data on the thermal properties of biomass. This Atlas has been written to supply a uniform source of that information. In the last few decades Thermal analysis (TA) tools such as thermogravimetry, differential thermal analysis, thermo mechanical analysis, etc. have become more important. The data obtained from these techniques can provide useful information in terms of reaction mechanism, kinetic parameters, thermal stability, phase transformation, heat of reaction, etc. for gas-solid and gas-liquid systems. Unfortunately, there are no ASTM standards set for the collection of these types of data using TA techniques and therefore, different investigators use different conditions which suit their requirements for measuring this thermal data. As a result, the information obtained from different laboratories is not comparable. This Atlas provides the ability to compare new laboratory results with a wide variety of related data available in the literature and helps ensure consistency in using these data.

  5. Preliminary analysis of the audible noise of constant-speed, horizontal-axis wind-turbine generators

    SciTech Connect (OSTI)

    Keast, D. N.; Potter, R. C.

    1980-07-01

    An analytical procedure has been developed for calculating certain aerodynamic sound levels produced by large, horizontal-axis wind-turbine generators (WTG's) such as the DOE/NASA Mods-0, -0A, -1, and -2. This preliminary procedure is based upon very limited field data from the Mod-0. It postulates a noise component due to the (constant) rotation of the blades of the WTG, plus a wake-noise component that increases with the square of the power produced by the WTG. Mechanical sound from machinery, and low-frequency impulsive sounds produced by blade interaction with the wake of the support tower are not considered.

  6. Wind Energy

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

    2 - 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 Energy Nuclear

  7. Wind News

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

    Page 2 - 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 Energy

  8. Wind News

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

    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 Energy Nuclear

  9. North Dakota Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name North Dakota Wind II Wind Farm Facility North Dakota Wind II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  10. Venture Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name Venture Wind II Wind Farm Facility Venture Wind II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  11. MinWind I & II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    I & II Wind Farm Jump to: navigation, search Name MinWind I & II Wind Farm Facility MinWind I & II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  12. JD Wind 4 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    4 Wind Farm Jump to: navigation, search Name JD Wind 4 Wind Farm Facility JD Wind 4 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner John...

  13. JD Wind 5 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    5 Wind Farm Jump to: navigation, search Name JD Wind 5 Wind Farm Facility JD Wind 5 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner John...

  14. Cow Branch Wind Energy Center Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cow Branch Wind Energy Center Wind Farm Jump to: navigation, search Name Cow Branch Wind Energy Center Wind Farm Facility Cow Branch Wind Energy Center Sector Wind energy Facility...

  15. JD Wind 1 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name JD Wind 1 Wind Farm Facility JD Wind 1 Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner DWSJohn...

  16. Fatal Flaw Analysis of Utility-Scale Wind Turbine Generators at the West Haymarket Joint Public Agency. A Study Prepared in Partnership with the Environmental Protection Agency for the RE-Powering America's Land Initiative: Siting Renewable Energy on Potentially Contaminated Land and Mine Sites

    SciTech Connect (OSTI)

    Roberts, J. O.; Mosey, G.

    2013-08-01

    Fatal flaw analysis of utility-scale wind turbines at the West Haymarket Joint Public Agency brownfields site in Lincoln, Nebraska, funded by EPA.

  17. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01

    This presentation covers opportunities for wind technology; wind energy market trends; an overview of the National Wind Technology Center near Boulder, Colorado; wind energy price and cost trends; wind turbine technology improvements; and wind resource characterization improvements.

  18. GL Wind | Open Energy Information

    Open Energy Info (EERE)

    GL Wind Jump to: navigation, search Name GL Wind Facility GL Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner GL Wind Developer Juhl...

  19. Wind energy | Open Energy Information

    Open Energy Info (EERE)

    Wind energy (Redirected from Wind power) Jump to: navigation, search Wind energy is a form of solar energy.1 Wind energy (or wind power) describes the process by which wind is...

  20. Simulation of winds as seen by a rotating vertical axis wind turbine blade

    SciTech Connect (OSTI)

    George, R.L.

    1984-02-01

    The objective of this report is to provide turbulent wind analyses relevant to the design and testing of Vertical Axis Wind Turbines (VAWT). A technique was developed for utilizing high-speed turbulence wind data from a line of seven anemometers at a single level to simulate the wind seen by a rotating VAWT blade. Twelve data cases, representing a range of wind speeds and stability classes, were selected from the large volume of data available from the Clayton, New Mexico, Vertical Plane Array (VPA) project. Simulations were run of the rotationally sampled wind speed relative to the earth, as well as the tangential and radial wind speeds, which are relative to the rotating wind turbine blade. Spectral analysis is used to compare and assess wind simulations from the different wind regimes, as well as from alternate wind measurement techniques. The variance in the wind speed at frequencies at or above the blade rotation rate is computed for all cases, and is used to quantitatively compare the VAWT simulations with Horizontal Axis Wind Turbine (HAWT) simulations. Qualitative comparisons are also made with direct wind measurements from a VAWT blade.

  1. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30

    New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.

  2. Wind Farm Monitoring at Storm Lake I Wind Power Project -- Equipment Only: Cooperative Research and Development Final Report, CRADA Number CRD-10-369

    SciTech Connect (OSTI)

    Gevorgian, Vahan

    2015-07-09

    Long-term, high-resolution wind turbine and wind power plant output data are important to assess the impact of wind power on grid operations and to derive meaningful statistics for better understanding of the variability of wind power. These data are used for many research and analysis activities consistent with the Wind Program mission.

  3. First Wind (Formerly UPC Wind) (Oregon) | Open Energy Information

    Open Energy Info (EERE)

    First Wind (Formerly UPC Wind) Address: 1001 S.W. Fifth Avenue Place: Portland, Oregon Zip: 97204 Region: Pacific Northwest Area Sector: Wind energy Product: Wind power developer...

  4. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Office of Environmental Management (EM)

    2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional Energy Job Fair 2015 Iowa Wind Power Conference and Iowa Wind Energy Association Midwest Regional...

  5. Wind tunnel performance data for the Darrieus wind turbine with...

    Office of Scientific and Technical Information (OSTI)

    Wind tunnel performance data for the Darrieus wind turbine with NACA 0012 blades Citation Details In-Document Search Title: Wind tunnel performance data for the Darrieus wind...

  6. 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology...

    Energy Savers [EERE]

    - Chapter 2: Wind Turbine Technology Summary Slides 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology Summary Slides Summary slides for wind turbine technology, its ...

  7. A National Offshore Wind Strategy: Creating an Offshore Wind...

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

    A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in the United States A National Offshore Wind Strategy: Creating an Offshore Wind Energy Industry in ...

  8. DOE Offers Conditional Commitment to Cape Wind Offshore Wind...

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

    Offers Conditional Commitment to Cape Wind Offshore Wind Generation Project DOE Offers Conditional Commitment to Cape Wind Offshore Wind Generation Project September 11, 2014 - ...

  9. Wind Powering America Webinar: Wind Power Economics: Past, Present...

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

    Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends Wind Powering America Webinar: Wind Power Economics: Past, Present, and Future Trends November ...

  10. For Cape Wind, Summer Breeze Makes Offshore Wind Feel Fine |...

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

    For Cape Wind, Summer Breeze Makes Offshore Wind Feel Fine For Cape Wind, Summer Breeze Makes ... one of the world's largest wind farms, the Department's Loan Programs Office ...

  11. Brazos Wind Ranch Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Shell Wind EnergyMitsui Developer Cielo Wind PowerOrion Energy Energy Purchaser Green...

  12. Microsoft PowerPoint - ATLAS_upgrade_physics_program

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

    Savard Argonne National Laboratory and University of Chicago Science with the ATLAS Efficiency and Intensity Upgrade ATLAS Users Meeting August 8-9 2009 2 G. Savard 2009 ATLAS S&T Review May 18-19, 2009 Outline Evolving landscape for low-energy nuclear physics Self-assessment of ATLAS present and near future program Process followed to evaluate near and longer term physics program needs and role in community Option proposed - Physics - Machine - Instrumentation 3 G. Savard 2009 ATLAS S&T

  13. Large-Scale Uncertainty and Error Analysis for Time-dependent Fluid/Structure Interactions in Wind Turbine Applications

    SciTech Connect (OSTI)

    Alonso, Juan J.; Iaccarino, Gianluca

    2013-08-25

    The following is the final report covering the entire period of this aforementioned grant, June 1, 2011 - May 31, 2013 for the portion of the effort corresponding to Stanford University (SU). SU has partnered with Sandia National Laboratories (PI: Mike S. Eldred) and Purdue University (PI: Dongbin Xiu) to complete this research project and this final report includes those contributions made by the members of the team at Stanford. Dr. Eldred is continuing his contributions to this project under a no-cost extension and his contributions to the overall effort will be detailed at a later time (once his effort has concluded) on a separate project submitted by Sandia National Laboratories. At Stanford, the team is made up of Profs. Alonso, Iaccarino, and Duraisamy, post-doctoral researcher Vinod Lakshminarayan, and graduate student Santiago Padron. At Sandia National Laboratories, the team includes Michael Eldred, Matt Barone, John Jakeman, and Stefan Domino, and at Purdue University, we have Prof. Dongbin Xiu as our main collaborator. The overall objective of this project was to develop a novel, comprehensive methodology for uncertainty quantification by combining stochastic expansions (nonintrusive polynomial chaos and stochastic collocation), the adjoint approach, and fusion with experimental data to account for aleatory and epistemic uncertainties from random variable, random field, and model form sources. The expected outcomes of this activity were detailed in the proposal and are repeated here to set the stage for the results that we have generated during the time period of execution of this project: 1. The rigorous determination of an error budget comprising numerical errors in physical space and statistical errors in stochastic space and its use for optimal allocation of resources; 2. A considerable increase in efficiency when performing uncertainty quantification with a large number of uncertain variables in complex non-linear multi-physics problems; 3. A solution to the long-time integration problem of spectral chaos approaches; 4. A rigorous methodology to account for aleatory and epistemic uncertainties, to emphasize the most important variables via dimension reduction and dimension-adaptive refinement, and to support fusion with experimental data using Bayesian inference; 5. The application of novel methodologies to time-dependent reliability studies in wind turbine applications including a number of efforts relating to the uncertainty quantification in vertical-axis wind turbine applications. In this report, we summarize all accomplishments in the project (during the time period specified) focusing on advances in UQ algorithms and deployment efforts to the wind turbine application area. Detailed publications in each of these areas have also been completed and are available from the respective conference proceedings and journals as detailed in a later section.

  14. National Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: National Wind Place: Minneapolis, Minnesota Zip: 55402 Sector: Wind energy Product: Wind project developer in the upper Midwest and Plains...

  15. Solar Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: Solar Wind Place: Krasnodar, Romania Zip: 350000 Sector: Solar, Wind energy Product: Russia-based PV product manufacturer. Solar Wind...

  16. Coriolis Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Logo: Coriolis Wind Name: Coriolis Wind Place: Great Falls, Virginia Zip: 22066 Product: Mid-Scale Wind Turbine Year Founded: 2007 Website:...

  17. Jasper Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: Jasper Wind Place: Athens, Greece Sector: Solar, Wind energy Product: Athens-based wind and solar project developer. Coordinates: 37.97615,...

  18. Royal Wind | Open Energy Information

    Open Energy Info (EERE)

    Name: Royal Wind Place: Denver, Colorado Sector: Wind energy Product: Vertical Wind Turbines Year Founded: 2008 Website: www.RoyalWindTurbines.com Coordinates: 39.7391536,...

  19. Wind Energy | Department of Energy

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

    Wind Energy Wind Energy Below are resources for Tribes on wind energy technologies. 2012 Market Report on Wind Technologies in Distributed Applications Includes a breakdown of ...

  20. Horn Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name: Horn Wind Place: Windthorst, Texas Zip: 76389 Sector: Wind energy Product: Texas-based company that develops community-based industrial wind...

  1. Atlas of major Appalachian basin gas plays

    SciTech Connect (OSTI)

    Aminian, K.; Avary, K.L.; Baranoski, M.T.; Flaherty, K.; Humphreys, M.; Smosna, R.A.

    1995-06-01

    This regional study of gas reservoirs in the Appalachian basin has four main objectives: to organize all of the -as reservoirs in the Appalachian basin into unique plays based on common age, lithology, trap type and other geologic similarities; to write, illustrate and publish an atlas of major gas plays; to prepare and submit a digital data base of geologic, engineering and reservoir parameters for each gas field; and technology transfer to the oil and gas industry during the preparation of the atlas and data base.

  2. WINDExchange: Siting Wind Turbines

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers Economic Development Siting Resources & Tools Siting Wind Turbines This page provides resources about wind turbine siting. American Wind Wildlife Institute The American Wind Wildlife Institute (AWWI) facilitates timely and responsible development of wind energy, while protecting wildlife and wildlife habitat. AWWI was created and is sustained by a unique collaboration of environmentalists, conservationists,

  3. Eastern Wind Integration and Transmission Study: Executive Summary and

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

    Project Overview | Department of Energy Eastern Wind Integration and Transmission Study: Executive Summary and Project Overview Eastern Wind Integration and Transmission Study: Executive Summary and Project Overview This study evaluates the future operational and integration impacts of three different 20 percent wind energy penetration scenarios and one 30 percent wind penetration scenario, including a high-level analysis of transmission to deliver the wind energy to load centers, in the

  4. Operational Impacts of Large Deployments of Offshore Wind (Poster)

    SciTech Connect (OSTI)

    Ibanez, E.; Heaney, M.

    2014-10-01

    The potential operational impact of deploying 54 GW of offshore wind in the United States was examined. The capacity was not evenly distributed; instead, it was concentrated in regions with better wind quality and close to load centers (Table 1). A statistical analysis of offshore wind power time series was used to assess the effect on the power system. The behavior of offshore wind resembled that of onshore wind, despite the former presenting higher capacity factors, more consistent power output across seasons, and higher variability levels. Thus, methods developed to manage onshore wind variability can be extended and applied to offshore wind.

  5. SMART Wind Turbine Rotor: Design and Field Test | Department of Energy

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

    Design and Field Test SMART Wind Turbine Rotor: Design and Field Test This report documents the design, fabrication, and testing of the SMART Wind Turbine Rotor. This work established hypothetical approaches for integrating active aerodynamic devices (AADs) into the wind turbine structure and controllers. PDF icon smart_wind_turbine_design_pdf. More Documents & Publications SMART Wind Turbine Rotor: Design and Field Test SMART Wind Turbine Rotor: Data Analysis and Conclusions SMART Wind

  6. NREL: Wind Research - Site Wind Resource Characteristics

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

    Site Wind Resource Characteristics A graphic showing the location of National Wind Technology Center and its wind power class 2. Click on the image to view a larger version. Enlarge image This graphic shows the wind power class at the National Wind Technology Center. You can download a printable copy. The National Wind Technology Center (NWTC) is on the Great Plains just miles from the Rocky Mountains. The site is flat and covered with short grasses. The terrain and lack of obstructions make the

  7. Crow Lake Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Crow Lake Wind Facility Crow Lake Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Prairie Winds...

  8. Wildcat Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wildcat Ridge Wind Farm Facility Wildcat Ridge Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Midwest Wind Energy Developer Midwest Wind...

  9. Radial Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    search Name Radial Wind Farm Facility Radial Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Radial Wind Developer Radial Wind Location...

  10. Wind Vision: A New Era for Wind Power in the United States (Highlights); U.S. Department of Energy (DOE), NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    2015-03-01

    This is a four-part Wind Vision project, consisting of Wind Vision Highlights, Executive Summary, a Full Report, and Appendix. The U.S. Department of Energy (DOE) Wind Program, in close cooperation with the wind industry, led a comprehensive analysis to evaluate future pathways for the wind industry. The Wind Vision report updates and expands upon the DOE's 2008 report, 20% Wind Energy by 2030, and defines the societal, environmental, and economic benefits of wind power in a scenario with wind energy supplying 10% of national end-use electricity demand by 2020, 20% by 2030, and 35% by 2050.

  11. NREL: Wind Research - News

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

    Wind Technology Center at NREL provides a number of wind news sources to help you stay up-to-date with its activities, research, and new developments. NREL Wind News See...

  12. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2007-05-01

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  13. Model Wind Ordinance

    Broader source: Energy.gov [DOE]

    In July, 2008 the North Carolina Wind Working Group, a coalition of state government, non-profit and wind industry organizations, published a model wind ordinance to provide guidance for...

  14. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01

    Wind Power Today is an annual publication that provides an overview of the wind energy research conducted by the U.S. Department of Energy Wind and Hydropower Technologies Program.

  15. Solar and Wind Easements

    Broader source: Energy.gov [DOE]

    In April 2011, the provisions related to wind easements were repealed by House Bill 295 (2011) and replaced with more extensive wind easements provisions.  This legislation defines wind energy ri...

  16. Wind Energy Integration: Slides

    Wind Powering America (EERE)

    provide information about integrating wind energy into the electricity grid. Wind Energy Integration Photo by Dennis Schroeder, NREL 25907 Wind energy currently contributes significant power to energy portfolios around the world. *U.S. Department of Energy. (August 2015). 2014 Wind Technologies Market Report. Wind Energy Integration In 2014, Denmark led the way with wind power supplying roughly 39% of the country's electricity demand. Ireland, Portugal, and Spain provided more than 20% of their

  17. Wind | Department of Energy

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

    Wind Wind Wind The United States is home to one of the largest and fastest growing wind markets in the world. To stay competitive in this sector, the Energy Department invests in wind research and development projects, both on land and offshore, to advance technology innovations, create job opportunities and boost economic growth. Moving forward, the U.S. wind industry remains a critical part of the Energy Department's all-of-the-above energy strategy to cut carbon pollution, diversify our

  18. Cape Verde Archipelago Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Energy, Wind Topics Finance, Market analysis, Background analysis Website http:www.europa-eu-un.orgar Program Start 2010 Country Cape Verde UN Region Western Africa References...

  19. DOE Announces Webinars on the Distributed Wind Power Market,...

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

    Lighting Retrofits Financial Analysis Tool, and More DOE Announces Webinars on the Distributed Wind Power Market, Lighting Retrofits Financial Analysis Tool, and More August 16, ...

  20. NREL: Wind Research - Offshore Wind Turbine Research

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

    Offshore Wind Turbine Research Photo of a European offshore wind farm. Photo by Siemens For more than eight years, NREL has worked with the U.S. Department of Energy (DOE) to...

  1. Wind Vision Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Facility Status In Service Owner Wind Vision Developer Wind Vision Location St. Ansgar IA Coordinates 43.348224, -92.888816 Show Map Loading map... "minzoom":false,"mappings...

  2. Systems Performance Analyses of Alaska Wind-Diesel Projects; Selawik, Alaska (Fact Sheet)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01

    This fact sheet summarizes a systems performance analysis of the wind-diesel project in Selawik, Alaska. Data provided for this project include community load data, wind turbine output, diesel plant output, thermal load data, average wind speed, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, and estimated fuel savings.

  3. Systems Performance Analyses of Alaska Wind-Diesel Projects; Kotzebue, Alaska (Fact Sheet)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01

    This fact sheet summarizes a systems performance analysis of the wind-diesel project in Kotzebue, Alaska. Data provided for this project include wind turbine output, average wind speed, average net capacity factor, and optimal net capacity factor based on Alaska Energy Authority wind data, estimated fuel savings, and wind system availability.

  4. Cherokee Wind

    Office of Environmental Management (EM)

    Cherokee Wind Presenter: Carol Wyatt Cherokee Nation Businesses, Inc. DOE Tribal Energy Program October 26, 2010 KA W PA W N EE TO NK AW A PO NC A OT OE -M IS S OU RI CH E RO KE E Acr es: 2,633 .348 CH E RO KE E Acr es: 1,641 .687 CHEROKEE NATION Kay County Chilocco Property DATA SOU RC ES: US Census Bureau (T iger Files ) D OQQ's , USGS D RG's, USGS Cherokee Nation Realty D epartment C herokee N ation GeoD ata C enter Date: 12/19/01 e:\project\land\c hilocc o N E W S Tribal Land Chilocco

  5. Wind Program: Publications

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

    Resources Publications Advanced Search Browse by Topic Mail Requests Help Energy Basics Wind Energy FAQs Small Wind Systems FAQs Multimedia Related Links Feature featured...

  6. Wind Turbine Tribology Seminar

    Broader source: Energy.gov [DOE]

    Wind turbine reliability issues are often linked to failures of contacting components, such as bearings, gears, and actuators. Therefore, special consideration to tribological design in wind...

  7. Wind energy bibliography

    SciTech Connect (OSTI)

    1995-05-01

    This bibliography is designed to help the reader search for information on wind energy. The bibliography is intended to help several audiences, including engineers and scientists who may be unfamiliar with a particular aspect of wind energy, university researchers who are interested in this field, manufacturers who want to learn more about specific wind topics, and librarians who provide information to their clients. Topics covered range from the history of wind energy use to advanced wind turbine design. References for wind energy economics, the wind energy resource, and environmental and institutional issues related to wind energy are also included.

  8. Scale Models & Wind Turbines

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

    Turbines * Readings about Cape Wind and other offshore and onshore siting debates for wind farms * Student Worksheet * A number of scale model items: Ken, Barbie or other dolls...

  9. Requirements for Wind Development

    Broader source: Energy.gov [DOE]

    In 2015 Oklahoma amended the Oklahoma Wind Energy Development Act. The amendments added new financial security requirements, setback requirements, and notification requirements for wind energy...

  10. NREL: Wind Research - Testing

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

    Testing Photo of a large wind turbine blade sticking out of the structural testing laboratory; it is perpendicular to a building at the National Wind Technology Center. A...

  11. NREL: Wind Research - Publications

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

    Publications The NREL wind research program develops publications about its R&D projects, accomplishments, and goals in wind energy technologies. Here you will find links to some...

  12. Sandia Energy Wind News

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

    Sandia Wake-Imaging System Successfully Deployed at Scaled Wind Farm Technology Facility http:energy.sandia.govsandia-wake-imaging-system-successfully-deployed-at-scaled-wind-fa...

  13. WINDExchange: Distributed Wind

    Wind Powering America (EERE)

    Distributed Wind Photo of a small wind turbine next to a farm house with a colorful sunset in the background. The distributed wind market includes wind turbines and projects of many sizes, from small wind turbines less than 1 kilowatt (kW) to multi-megawatt wind farms. The term "distributed wind" describes off-grid or grid-connected wind turbines at homes, farms and ranches, businesses, public and industrial facilities, and other sites. The turbines can provide all of the power used at

  14. Articles about Wind Siting

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

    energy.gov Model Examines Cumulative Impacts of Wind Energy Development on the Greater Sage-Grouse http:energy.goveerewindarticlesmodel-examines-cumulative-impacts-wind-ener...

  15. NREL: Wind Research - News

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

    National Wind Technology Center (NWTC), the country's premier wind energy technology research facility. September 23, 2015 Small Businesses Invited to Participate in DOE National...

  16. Wind for Schools (Poster)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2010-05-01

    As the United States dramatically expands wind energy deployment, the industry is challenged with developing a skilled workforce and addressing public resistance. Wind Powering America's Wind for Schools project addresses these issues by developing Wind Application Centers (WACs) at universities; WAC students assist in implementing school wind turbines and participate in wind courses, by installing small wind turbines at community "host" schools, by implementing teacher training with interactive curricula at each host school. This poster provides an overview of the first two years of the Wind for Schools project, primarily supporting activities in Colorado, Kansas, Nebraska, South Dakota, Montana, and Idaho.

  17. Small Wind Conference 2015

    Broader source: Energy.gov [DOE]

    The Small Wind Conference brings together small wind installers, site assessors, manufacturers, dealers and distributors, supply chain stakeholders, educators, public benefits program managers, and...

  18. Wind | Department of Energy

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

    and fastest growing wind markets in the world. To stay competitive in this sector, the Energy Department invests in wind research and development projects, both on land and...

  19. An Enabling Framework for Wind Power in Colombia: What are the...

    Open Energy Info (EERE)

    Energy, Wind Topics: Market analysis, Pathways analysis Resource Type: Publications, Lessons learnedbest practices, Case studiesexamples Website: tech-action.org...

  20. NREL: Wind Research - Offshore Wind Resource Characterization

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

    Wind Resource Characterization Map of the United States, showing the wind potential of offshore areas across the country. Enlarge image US offshore wind speed estimates at 90-m height NREL scientists and engineers are leading efforts in resource mapping, remote sensor measurement and development, and forecasting that are essential for the development of offshore wind. Resource Mapping For more than 15 years, NREL's meteorologists, engineers, and Geographic Information System experts have led the

  1. Chaninik Wind Group: Harnessing Wind, Building Capacity

    Office of Environmental Management (EM)

    Chaninik Wind Group: Harnessing Wind, Building Capacity Installation of Village Energy Information System Smart Grid Controller, Thermal Stoves and Meters to Enhance the Efficiency of Wind- Diesel Hybrid Power Generation in Tribal Regions of Alaska Department of Energy Tribal Energy Program Review November 16-20, 2009 The Chananik Wind Group Our goal is to become the "heartbeat of our region." Department of Energy Tribal Energy Program Review November 16-20, 2009 Department of Energy

  2. Chaninik Wind Group: Wind Heat Smart Grids

    Office of Environmental Management (EM)

    Systems in Kongiganak, Kwigillingok and Tuntutuliak *95 kW Windmatic wind turbines *Electric Thermal Storage(ETS) devices *Community-wide Smart Metering and Smart Grid control Wind Heat System Components * ETS heat output at high is equivalent to a Toyostove Laser 56 * $.10 per kwh is equivalent to buying diesel at $2.90 per gallon * Current diesel price in Kongiganak: $6.95 per gallon Chaninik Wind Group Wind Heat System SCADA Kongiganak Energy Summary 2013 Example - Kongiganak ETS Fuel

  3. Wind Energy Technologies - Energy Innovation Portal

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

    Wind Energy » Technology Marketing Summaries Site Map Printable Version Share this resource About Search Categories (15) Advanced Materials Biomass and Biofuels Building Energy Efficiency Electricity Transmission Energy Analysis Energy Storage Geothermal Hydrogen and Fuel Cell Hydropower, Wave and Tidal Industrial Technologies Solar Photovoltaic Solar Thermal Startup America Vehicles and Fuels Wind Energy Marketing Summaries (17) Partners (27) Visual Patent Search Success Stories Browse Wind

  4. New DOE Reports Assess Offshore Wind Market and Supply Chain...

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

    The U.S. Offshore Wind Market and Economic Analysis: Annual Market Assessment 2012 provides the first comprehensive annual assessment of the U.S. offshore wind market and is a tool ...

  5. Hull Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name Hull Wind II Wind Farm Facility Hull II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Hull...

  6. Three DOE Reports Analyze U.S. Wind Energy Growth | Department of Energy

    Energy Savers [EERE]

    Three DOE Reports Analyze U.S. Wind Energy Growth Three DOE Reports Analyze U.S. Wind Energy Growth September 11, 2014 - 3:40pm Addthis DOE recently released three reports that provide a detailed analysis of the markets for utility-scale land-based technologies, offshore wind technologies, and distributed wind technologies: the Offshore Wind Market and Economic Analysis, produced by Navigant Consulting, Inc.; the 2013 Wind Technologies Market Report, produced by the Lawrence Berkeley National

  7. SMART Wind Turbine Rotor: Design and Field Test | Department of Energy

    Energy Savers [EERE]

    Design and Field Test SMART Wind Turbine Rotor: Design and Field Test Design and field test results from the SMART Rotor project, a wind turbine rotor with integrated trailing-edge flaps designed for active control of the rotor aerodynamics. PDF icon Smart Wind Turbine Rotor: Design and Field Test More Documents & Publications SMART Wind Turbine Rotor: Design and Field Test SMART Wind Turbine Rotor: Data Analysis and Conclusions SMART Wind Turbine Rotor: Data Analysis and Conclusions

  8. Securing Clean, Domestic, Affordable Energy with Wind (Fact Sheet), Wind

    Energy Savers [EERE]

    Program (WP) | Department of Energy Securing Clean, Domestic, Affordable Energy with Wind (Fact Sheet), Wind Program (WP) Securing Clean, Domestic, Affordable Energy with Wind (Fact Sheet), Wind Program (WP) This fact sheet provides a brief description of the Wind Energy Market and describes the U.S. Department of Energy's Wind Program research and development efforts. PDF icon eere_wind_water.pdf More Documents & Publications Wind Program Accomplishments Offshore Wind Projects Wind

  9. Analysis of CASES-99 Lidar and Turbulence Data in Support of Wind Turbine Effects: April 1, 2001 to Januay 31, 2003

    SciTech Connect (OSTI)

    Banta, R. M.

    2003-06-01

    The nocturnal low-level jet (LLJ) of the Great Plains of the central United States has been identified as a promising source of high-momentum wind flow for wind energy. The acceleration of the winds after sunset above the surface produces a jet profile in the wind velocity, with maximum speeds that often exceed 10 m s-1 or more at heights near 100 m or more. These high wind speeds are advantageous for wind energy generation. The high speeds aloft, however, also produce a region of high shear between the LLJ and the earth's surface, where the nocturnal flow is often calm or nearly so. This shear zone below the LLJ generates atmospheric waves and turbulence that can cause strong vibration in the turbine rotors. It has been suggested that these vibrations contribute to premature failures in large wind turbines, which, of course, would be a considerable disadvantage for wind energy applications. In October 1999, a field project called the Cooperative Atmosphere-Surface Exchange Study 1999 campaign, or CASES-99, was conducted in southeastern Kansas to study the nocturnal stable boundary layer. One of the instruments deployed during CASES-99 was the High-Resolution Doppler Lidar, a new scanning, remote-sensing, wind-mapping instrument.

  10. History of Wind Energy | Department of Energy

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

    History of Wind Energy History of Wind Energy

  11. Offshore Wind Funding | Department of Energy

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

    Offshore Wind Funding Offshore Wind Funding View All Maps Addthis

  12. History of Wind Energy | Department of Energy

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

    History of Wind Energy History of Wind Energy

  13. Two-stage atlas subset selection in multi-atlas based image segmentation

    SciTech Connect (OSTI)

    Zhao, Tingting Ruan, Dan

    2015-06-15

    Purpose: Fast growing access to large databases and cloud stored data presents a unique opportunity for multi-atlas based image segmentation and also presents challenges in heterogeneous atlas quality and computation burden. This work aims to develop a novel two-stage method tailored to the special needs in the face of large atlas collection with varied quality, so that high-accuracy segmentation can be achieved with low computational cost. Methods: An atlas subset selection scheme is proposed to substitute a significant portion of the computationally expensive full-fledged registration in the conventional scheme with a low-cost alternative. More specifically, the authors introduce a two-stage atlas subset selection method. In the first stage, an augmented subset is obtained based on a low-cost registration configuration and a preliminary relevance metric; in the second stage, the subset is further narrowed down to a fusion set of desired size, based on full-fledged registration and a refined relevance metric. An inference model is developed to characterize the relationship between the preliminary and refined relevance metrics, and a proper augmented subset size is derived to ensure that the desired atlases survive the preliminary selection with high probability. Results: The performance of the proposed scheme has been assessed with cross validation based on two clinical datasets consisting of manually segmented prostate and brain magnetic resonance images, respectively. The proposed scheme demonstrates comparable end-to-end segmentation performance as the conventional single-stage selection method, but with significant computation reduction. Compared with the alternative computation reduction method, their scheme improves the mean and medium Dice similarity coefficient value from (0.74, 0.78) to (0.83, 0.85) and from (0.82, 0.84) to (0.95, 0.95) for prostate and corpus callosum segmentation, respectively, with statistical significance. Conclusions: The authors have developed a novel two-stage atlas subset selection scheme for multi-atlas based segmentation. It achieves good segmentation accuracy with significantly reduced computation cost, making it a suitable configuration in the presence of extensive heterogeneous atlases.

  14. Wind Energy Benefits: Slides

    Wind Powering America (EERE)

    1. Wind energy is cost competitive. *Wiser, R.; Bolinger, M. (2015). 2014 Wind Technologies Market Report. U.S. Department of Energy. Wind Energy Benefits Photo from DOE Flickr. 465 020 003 In 2014, the average levelized price of signed wind power purchase agreements was about 2.35 cents per kilowatt-hour. This price is cost competitive with new gas-fired power plants and projects compare favorably through 2040.* 2. Wind energy creates jobs. American Wind Energy Association. (2015). U.S. Wind

  15. Microsoft PowerPoint - CJC_ATLAS09 [Compatibility Mode]

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

    transfer using RIB + 7 Li ti t ATLAS reactions at ATLAS W. B. Walters, C. J. Chiara ATLAS Workshop 8 August 2009 * Investigation of single-particle and i l h l t t single-hole states in neutron-rich nuclei e g near nuclei, e.g. near N=82 (energies, spins parities ) spins, parities...). * Idea presented here is "borrowed", but serves as a reminder of how recently developed techniques y p q can be extended to future ATLAS use. Pioneering work by D. C. Radford: highly selective study of n

  16. Wind Power Outlook 2004

    SciTech Connect (OSTI)

    anon.

    2004-01-01

    The brochure, expected to be updated annually, provides the American Wind Energy Association's (AWAE's) up-to-date assessment of the wind industry. It provides a summary of the state of wind power in the U.S., including the challenges and opportunities facing the industry. It provides summary information on the growth of the industry, policy-related factors such as the federal wind energy production tax credit status, comparisons with natural gas, and public views on wind energy.

  17. ARM - Wind Chill Calculations

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

    CalculatorsWind Chill Calculations Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Wind Chill Calculations Wind Chill is the apparent temperature felt on the exposed human body owing to the combination of temperature and wind speed. From 1945 to 2001, Wind Chill was calculated by the Siple

  18. WINDExchange: Collegiate Wind Competition

    Wind Powering America (EERE)

    Education Printable Version Bookmark and Share Workforce Development Collegiate Wind Competition Wind for Schools Project School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Collegiate Wind Competition The U.S. Department of Energy (DOE) Collegiate Wind Competition challenges interdisciplinary teams of undergraduate students from a variety of programs to offer a unique solution to a complex wind energy project; providing each student with

  19. WINDExchange: Wind Energy Ordinances

    Wind Powering America (EERE)

    Wind Energy Ordinances Federal, state, and local regulations govern many aspects of wind energy development. The nature of the project and its location will largely drive the levels of regulation required. Wind energy ordinances adopted by counties, towns, and other types of municipalities are one of the best ways for local governments to identify conditions and priorities for all types of wind development. These ordinances regulate aspects of wind projects such as their location, permitting

  20. Wind Program: WINDExchange

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

    WINDExchange Printable Version Bookmark and Share A photo of a green pasture with pine trees in the foreground and four wind turbine in the background, as well as two silos and two homes. WINDExchange is the U.S. Department of Energy Wind Program's platform for disseminating credible information about wind energy. The purpose of WINDExchange is to help communities weigh the benefits and costs of wind energy, understand the deployment process, and make wind development decisions supported by the

  1. WINDExchange: Offshore 90-Meter Wind Maps and Wind Resource Potential

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

    Offshore 90-Meter Wind Maps and Wind Resource Potential The U.S. Department of Energy provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California

  2. Collegiate Wind Competition Wind Tunnel Specifications | Department of

    Office of Environmental Management (EM)

    Energy Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Teams competing in the U.S. Department of Energy Collegiate Wind Competition must design a prototype wind turbine that fits inside the wind tunnel created to test the performance of each team's project. The tunnel has a "draw down" configuration, introduced by the fan, that sucks air through the box. There are

  3. U.S. Wind Energy Manufacturing & Supply Chain Cover Photo | Department of

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

    Energy Wind Energy Manufacturing & Supply Chain Cover Photo U.S. Wind Energy Manufacturing & Supply Chain Cover Photo Image icon GLWN Cover Photo.JPG More Documents & Publications U.S. Wind Energy Manufacturing & Supply Chain: A Competitiveness Analysis 2014 Offshore Wind Market & Economic Analysis Cover Photo Water Power For a Clean Energy Future Cover Photo

  4. Simulating Turbulent Wind Fields for Offshore Turbines in Hurricane-Prone Regions (Poster)

    SciTech Connect (OSTI)

    Guo, Y.; Damiani, R.; Musial, W.

    2014-04-01

    Extreme wind load cases are one of the most important external conditions in the design of offshore wind turbines in hurricane prone regions. Furthermore, in these areas, the increase in load with storm return-period is higher than in extra-tropical regions. However, current standards have limited information on the appropriate models to simulate wind loads from hurricanes. This study investigates turbulent wind models for load analysis of offshore wind turbines subjected to hurricane conditions. Suggested extreme wind models in IEC 61400-3 and API/ABS (a widely-used standard in oil and gas industry) are investigated. The present study further examines the wind turbine response subjected to Hurricane wind loads. Three-dimensional wind simulator, TurbSim, is modified to include the API wind model. Wind fields simulated using IEC and API wind models are used for an offshore wind turbine model established in FAST to calculate turbine loads and response.

  5. Recent Higgs results from the ATLAS experiment

    SciTech Connect (OSTI)

    Brendlinger, Kurt; Collaboration: ATLAS Collaboration

    2014-06-24

    This paper presents recent results on the Higgs boson from the ATLAS experiment at the Large Hadron Collider. The Collaboration reports on measurements of the signal strength, couplings, and spin of the Higgs in several decay channels. We find all measurements to be consistent with Standard Model predictions. The Higgs branching fraction to invisible particles is constrained and no evidence of physics beyond the Standard Model is found.

  6. Wind turbine reliability database update.

    SciTech Connect (OSTI)

    Peters, Valerie A.; Hill, Roger Ray; Stinebaugh, Jennifer A.; Veers, Paul S.

    2009-03-01

    This report documents the status of the Sandia National Laboratories' Wind Plant Reliability Database. Included in this report are updates on the form and contents of the Database, which stems from a fivestep process of data partnerships, data definition and transfer, data formatting and normalization, analysis, and reporting. Selected observations are also reported.

  7. National Wind Assessments formerly Romuld Wind Consulting | Open...

    Open Energy Info (EERE)

    Assessments formerly Romuld Wind Consulting Jump to: navigation, search Name: National Wind Assessments (formerly Romuld Wind Consulting) Place: Minneapolis, Minnesota Zip: 55416...

  8. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

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

    Wind Energy's Contribution to U.S. Electricity Supply (Executive Summary) 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply ...

  9. EERE 2014 Wind Technologies Market Report Finds Wind Power at...

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

    ... analyzes the potential for continued wind industry growth in all 50 states, as wind turbines with taller towers and larger rotors make wind economically viable nationwide. ...

  10. Sinomatech Wind Power Blade aka Sinoma Science Technology Wind...

    Open Energy Info (EERE)

    Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine Blade Co Ltd Jump to: navigation, search Name: Sinomatech Wind Power Blade (aka Sinoma Science & Technology...

  11. NREL: Wind Research - Wind Energy Videos

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

    Wind Energy Videos The National Wind Technology Center (NWTC) is pleased to offer video presentations of its world-class capabilities, facilities, research areas, and personnel. As shown in these videos, the center's impact is industry-wide, ranging from the creation and testing of award-winning components to helping partners develop the nation's most commercially successful renewable energy technologies. Overview NREL Supports Small Businesses in the Wind and Water Power Sectors Next Generation

  12. Chaninik Wind Group Wind Heat Smart Grid

    Office of Environmental Management (EM)

    Chaninik Wind Group Wind Heat Smart Grid Our Presentation * William Igkurak, President Chaninik Wind Group * the harness renewables to lower energy costs, * create economic opportunities * build human capacity * Dennis Meiners * Principal Intelligent Energy Systems, Anchorage Ak. * How it all works Program Highlights ²Award Tribal Energy funding 2009, Village Smart Grid ²Received funds November 2010 ²Project to be complete June 2011 ²Theme: "communities working together we can become

  13. Distributed Wind | Department of Energy

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

    Distributed Wind Distributed Wind The Wind Program's activities in wind technologies in distributed applications-or distributed wind-address the performance and reliability challenges associated with smaller turbines by focusing on technology development, testing, certification, and manufacturing. What is Distributed Wind? Photo of a turbine behind a school. The Wind Program defines distributed wind in terms of technology application, based on a wind plant's location relative to end-use and

  14. NREL: Jobs and Economic Development Impacts (JEDI) Models - About JEDI Wind

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

    Model Wind Model The Jobs and Economic Development Impacts (JEDI) Wind model allows the user to estimate economic development impacts from wind power generation projects. JEDI Wind has default information that can be used to run a generic impacts analysis assuming wind industry averages. Model users are encouraged to enter as much project-specific data as possible. User inputs specific to JEDI Wind include: Construction materials and labor costs Turbine, tower, blade costs, and local content

  15. 20% Wind Energy by 2030 - Chapter 1: Executive Summary and Overview Summary

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

    Slides | Department of Energy 1: Executive Summary and Overview Summary Slides 20% Wind Energy by 2030 - Chapter 1: Executive Summary and Overview Summary Slides Summary and overview slides for 20% Wind Energy by 2030 report with wind scenarios and analysis PDF icon 20percent_summary_chap1.pdf More Documents & Publications 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology Summary Slides 20% Wind Energy by 2030 - Chapter 4: Transmission and Integration into the U.S. Electric

  16. Spring Canyon Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Spring Canyon Wind Farm Jump to: navigation, search Name Spring Canyon Wind Farm Facility Spring Canyon Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  17. Gray County Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Gray County Wind Farm Jump to: navigation, search Name Gray County Wind Farm Facility Gray County Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  18. Spanish Fork Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Fork Wind Farm Jump to: navigation, search Name Spanish Fork Wind Farm Facility Spanish Fork Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  19. First State Marine Wind | Open Energy Information

    Open Energy Info (EERE)

    State Marine Wind Jump to: navigation, search Name First State Marine Wind Facility First State Marine Wind Sector Wind energy Facility Type Offshore Wind Facility Status Proposed...

  20. Green Mountain Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Green Mountain Wind Farm Facility Green Mountain Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  1. Gulf Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Gulf Wind Farm Facility Gulf Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Pattern Energy...

  2. Stetson Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Farm Jump to: navigation, search Name Stetson Wind Farm Facility Stetson Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  3. Zirbel Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name Zirbel Wind Farm Facility Zirbel Wind Farm (Glenmore Wind Energy Facility) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  4. Beebe Community Wind | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name Beebe Community Wind Facility Beebe Community Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Exelon Wind...

  5. Woodstock Municipal Wind | Open Energy Information

    Open Energy Info (EERE)

    search Name Woodstock Municipal Wind Facility Woodstock Municipal Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Juhl Wind...

  6. Winona County Wind | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name Winona County Wind Facility Winona County Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Juhl Wind...

  7. Story City Wind | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name Story City Wind Facility Story City Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Hamilton Wind Energy...

  8. Luther College Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Luther College Wind Turbine Jump to: navigation, search Name Luther College Wind Turbine Facility Luther College Wind Turbine Sector Wind energy Facility Type Community Wind...

  9. Williams Stone Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Stone Wind Turbine Jump to: navigation, search Name Williams Stone Wind Turbine Facility Williams Stone Wind Turbine Sector Wind energy Facility Type Community Wind Facility Status...

  10. Portsmouth Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Wind Turbine Jump to: navigation, search Name Portsmouth Wind Turbine Facility Portsmouth Wind Turbine Sector Wind energy Facility Type Community Wind Facility Status In Service...

  11. Charlestown Wind Turbine | Open Energy Information

    Open Energy Info (EERE)

    Charlestown Wind Turbine Jump to: navigation, search Name Charlestown Wind Turbine Facility Charlestown Wind Turbine Sector Wind energy Facility Type Commercial Scale Wind Facility...

  12. Palmetto Wind Research Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Research Project Jump to: navigation, search Name Palmetto Wind Research Project Facility Palmetto Wind Research Project Sector Wind energy Facility Type Offshore Wind...

  13. Kansas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Kansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  14. Idaho/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Idaho Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  15. Nevada/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Nevada Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  16. Iowa/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Iowa Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  17. Small Wind Guidebook | Open Energy Information

    Open Energy Info (EERE)

    Home >> Wind >> Small Wind Guidebook WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  18. Maine/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Maine Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  19. Hawaii/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Hawaii Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  20. Oregon/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Oregon Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  1. Alaska/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Alaska Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  2. Don Sneve Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Sneve Wind Project Jump to: navigation, search Name Don Sneve Wind Project Facility Don Sneve Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  3. Fenner Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    Wind Power Project Jump to: navigation, search Name Fenner Wind Power Project Facility Fenner Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  4. Shane Cowell Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Shane Cowell Wind Farm Jump to: navigation, search Name Shane Cowell Wind Farm Facility Shane Cowell Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  5. Antelope Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Antelope Ridge Wind Farm Jump to: navigation, search Name Antelope Ridge Wind Farm Facility Antelope Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  6. Locust Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Locust Ridge Wind Farm Jump to: navigation, search Name Locust Ridge Wind Farm Facility Locust Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  7. Rosiere Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Rosiere Wind Farm Jump to: navigation, search Name Rosiere Wind Farm Facility Rosiere Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  8. Paynes Ferry Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Paynes Ferry Wind Farm Jump to: navigation, search Name Paynes Ferry Wind Farm Facility Paynes Ferry Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  9. Marengo Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Marengo Wind Farm Jump to: navigation, search Name Marengo Wind Farm Facility Marengo Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  10. Stoney Corners Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Stoney Corners Wind Farm Jump to: navigation, search Name Stoney Corners Wind Farm Facility Stoney Corners Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  11. Marshall Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Marshall Wind Farm Jump to: navigation, search Name Marshall Wind Farm Facility Marshall Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  12. Laredo Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Laredo Ridge Wind Farm Jump to: navigation, search Name Laredo Ridge Wind Farm Facility Laredo Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  13. Nine Canyon Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Nine Canyon Wind Farm Jump to: navigation, search Name Nine Canyon Wind Farm Facility Nine Canyon Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  14. Casper Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Casper Wind Farm Jump to: navigation, search Name Casper Wind Farm Facility Casper Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  15. Wallys Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wallys Wind Farm Jump to: navigation, search Name Wallys Wind Farm Facility Wallys Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  16. Cassia Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cassia Wind Farm Jump to: navigation, search Name Cassia Wind Farm Facility Cassia Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  17. Hatchet Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Hatchet Ridge Wind Farm Jump to: navigation, search Name Hatchet Ridge Wind Farm Facility Hatchet Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  18. Cedar Point Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cedar Point Wind Farm Jump to: navigation, search Name Cedar Point Wind Farm Facility Cedar Point Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status...

  19. Allegheny Ridge Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Allegheny Ridge Wind Farm Jump to: navigation, search Name Allegheny Ridge Wind Farm Facility Allegheny Ridge wind farm Sector Wind energy Facility Type Commercial Scale Wind...

  20. Greensburg Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Greensburg Wind Farm Jump to: navigation, search Name Greensburg Wind Farm Facility Greensburg Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  1. Wheatfield Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wheatfield Wind Farm Jump to: navigation, search Name Wheatfield Wind Farm Facility Wheatfield Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  2. Ewington Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Ewington Wind Farm Jump to: navigation, search Name Ewington Wind Farm Facility Ewington Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  3. Uilk Wind Farm | Open Energy Information

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    Uilk Wind Farm Jump to: navigation, search Name Uilk Wind Farm Facility Uilk Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer...

  4. Octotillo Wind Farm | Open Energy Information

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    Octotillo Wind Farm Jump to: navigation, search Name Octotillo Wind Farm Facility Octotillo Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  5. Flat Water Wind Farm | Open Energy Information

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    Water Wind Farm Jump to: navigation, search Name Flat Water Wind Farm Facility Flat Water Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  6. Star Point Wind Farm | Open Energy Information

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    Point Wind Farm Jump to: navigation, search Name Star Point Wind Farm Facility Star Point Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  7. Turkey Track Wind Farm | Open Energy Information

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    Track Wind Farm Jump to: navigation, search Name Turkey Track Wind Farm Facility Turkey Track Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  8. Blue Creek Wind Farm | Open Energy Information

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    Creek Wind Farm Jump to: navigation, search Name Blue Creek Wind Farm Facility Blue Creek Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  9. Adams Wind Project | Open Energy Information

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    Wind Project Jump to: navigation, search Name Adams Wind Project Facility Adams Wind Project Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service...

  10. Hopkins Ridge Wind Farm | Open Energy Information

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    Wind Farm Jump to: navigation, search Name Hopkins Ridge Wind Farm Facility Hopkins Ridge Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  11. Springview II Wind Project | Open Energy Information

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    Springview II Wind Project Jump to: navigation, search Name Springview II Wind Project Facility Springview II Wind Project Sector Wind energy Facility Type Commercial Scale Wind...

  12. Sigel Wind Park | Open Energy Information

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    Sigel Wind Park Jump to: navigation, search Name Sigel Wind Park Facility Sigel Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  13. Minden Wind Park | Open Energy Information

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    Minden Wind Park Jump to: navigation, search Name Minden Wind Park Facility Minden Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  14. Fossil Gulch Wind Park | Open Energy Information

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    Gulch Wind Park Jump to: navigation, search Name Fossil Gulch Wind Park Facility Fossil Gulch Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  15. Criterion Wind Park | Open Energy Information

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    Criterion Wind Park Jump to: navigation, search Name Criterion Wind Park Facility Criterion Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  16. Golden Valley Wind Park | Open Energy Information

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    Wind Park Jump to: navigation, search Name Golden Valley Wind Park Facility Golden Valley Wind Park Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  17. Red Canyon Wind Farm | Open Energy Information

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    Canyon Wind Farm Jump to: navigation, search Name Red Canyon Wind Farm Facility Red Canyon Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  18. Shiloh Wind Power Project | Open Energy Information

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    Wind Power Project Jump to: navigation, search Name Shiloh Wind Power Project Facility Shiloh Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  19. Fenton Wind Power Project | Open Energy Information

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    Wind Power Project Jump to: navigation, search Name Fenton Wind Power Project Facility Fenton Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...

  20. Madison Wind Power Project | Open Energy Information

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    Wind Power Project Jump to: navigation, search Name Madison Wind Power Project Facility Madison Wind Power Project Sector Wind energy Facility Type Commercial Scale Wind Facility...