Sample records for based wind project

  1. Barstow Wind Turbine Project

    Broader source: Energy.gov [DOE]

    Presentation covers the Barstow Wind Turbine project for the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  2. Hualapai Wind Project Feasibility Report

    SciTech Connect (OSTI)

    Davidson, Kevin [Hualapai Tribe] [Hualapai Tribe; Randall, Mark [Daystar Consulting] [Daystar Consulting; Isham, Tom [Power Engineers] [Power Engineers; Horna, Marion J [MJH Power Consulting LLC] [MJH Power Consulting LLC; Koronkiewicz, T [SWCA Environmental, Inc.] [SWCA Environmental, Inc.; Simon, Rich [V-Bar, LLC] [V-Bar, LLC; Matthew, Rojas [Squire Sanders Dempsey] [Squire Sanders Dempsey; MacCourt, Doug C. [Ater Wynne, LLP] [Ater Wynne, LLP; Burpo, Rob [First American Financial Advisors, Inc.] [First American Financial Advisors, Inc.

    2012-12-20T23:59:59.000Z

    The Hualapai Department of Planning and Economic Development, with funding assistance from the U.S. Department of Energy, Tribal Energy Program, with the aid of six consultants has completed the four key prerequisites as follows: 1. Identify the site area for development and its suitability for construction. 2. Determine the wind resource potential for the identified site area. 3. Determine the electrical transmission and interconnection feasibility to get the electrical power produced to the marketplace. 4. Complete an initial permitting and environmental assessment to determine the feasibility for getting the project permitted. Those studies indicated a suitable wind resource and favorable conditions for permitting and construction. The permitting and environmental study did not reveal any fatal flaws. A review of the best power sale opportunities indicate southern California has the highest potential for obtaining a PPA that may make the project viable. Based on these results, the recommendation is for the Hualapai Tribal Nation to move forward with attracting a qualified wind developer to work with the Tribe to move the project into the second phase - determining the reality factors for developing a wind project. a qualified developer will bid to a utility or negotiate a PPA to make the project viable for financing.

  3. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

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

    2014-04-04T23:59:59.000Z

    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 directi

  4. AWEA Wind Project Siting Seminar

    Office of Energy Efficiency and Renewable Energy (EERE)

    The AWEA Wind Project Siting Seminar takes an in-depth look at the latest siting challenges and identify opportunities to reduce risks associated with the siting and operation of wind farms to...

  5. 2008 Wind Energy Projects, Wind Powering America (Poster)

    SciTech Connect (OSTI)

    Not Available

    2009-01-01T23:59:59.000Z

    The Wind Powering America program produces a poster at the end of every calendar year that depicts new U.S. wind energy projects. The 2008 poster includes the following projects: Stetson Wind Farm in Maine; Dutch Hill Wind Farm in New York; Grand Ridge Wind Energy Center in Illinois; Hooper Bay, Alaska; Forestburg, South Dakota; Elbow Creek Wind Project in Texas; Glacier Wind Farm in Montana; Wray, Colorado; Smoky Hills Wind Farm in Kansas; Forbes Park Wind Project in Massachusetts; Spanish Fork, Utah; Goodland Wind Farm in Indiana; and the Tatanka Wind Energy Project on the border of North Dakota and South Dakota.

  6. Searchlight Wind Energy Project FEIS Appendix E

    Office of Environmental Management (EM)

    June 2, 2009 District Las Vegas Field Office Resource Area Activity (program) Proposed Wind Generation SECTION A. PROJECT INFORMATION 1. Project Name Searchlight Wind Project 4....

  7. Searchlight Wind Energy Project DEIS Appendix A

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

    Searchlight Wind Energy Project DEIS Appendix A Page | A Appendix A: Public Scoping Report SCOPING SUMMARY REPORT SEARCHLIGHT WIND ENERGY PROJECT ENVIRONMENTAL IMPACT STATEMENT...

  8. Three Offshore Wind Advanced Technology Demonstration Projects...

    Office of Environmental Management (EM)

    Offshore Wind Advanced Technology Demonstration Projects Receive Phase 2 Funding Three Offshore Wind Advanced Technology Demonstration Projects Receive Phase 2 Funding September...

  9. OFFSHORE WIND FARM LAYOUT OPTIMIZATION (OWFLO) PROJECT: AN INTRODUCTION

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    OFFSHORE WIND FARM LAYOUT OPTIMIZATION (OWFLO) PROJECT: AN INTRODUCTION C. N. Elkinton* , J. F focused on land-based wind farms, rather than on offshore farms. The conventional method used to lay out that distinguish offshore wind farms from their onshore counterparts, the Offshore Wind Farm Layout Optimization

  10. Wind for Schools: A Wind Powering America Project (Brochure)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-08-01T23:59:59.000Z

    This brochure provides an overview of Wind Powering America's Wind for Schools Project, including a description of the project, the participants, funding sources, the basic configurations, and how interested parties can become involved.

  11. Wind for Schools: A Wind Powering America Project (Alaska) (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2010-02-01T23:59:59.000Z

    This brochure provides an overview of Wind Powering America's Wind for Schools Project, including a description of the project, the participants, funding sources, the basic configurations, and how interested parties can become involved.

  12. Colorado Highlands Wind Project, Western's RM Environment

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

    Colorado Highlands Wind Project Western Area Power Administration, Rocky Mountain Region (Western) has received a request from Colorado Highlands Wind to modify its Interconnection...

  13. Beatty Wind Monitoring Project

    SciTech Connect (OSTI)

    Hurt, Rick

    2009-06-01T23:59:59.000Z

    The UNLV Center for Energy Research (CER) and Valley Electric Association (VEA) worked with Kitty Shubert of the Beatty Economic Redevelopment Corporation (BERC) to install two wind monitoring stations outside the town of Beatty, Nevada. The following is a description of the two sites. The information for a proposed third site is also shown. The sites were selected from previous work by the BERC and Idaho National Laboratory. The equipment was provided by the BERC and installed by researchers from the UNLV CER.

  14. Offshore Wind Project Map

    Broader source: Energy.gov [DOE]

    Image that shows the demonstration project site and developer headquarters for two funding opportunity announcements: the 2011 Grants for Technology Development and the 2011 Grants for Removing Market Barriers.

  15. Wind-To-Hydrogen Energy Pilot Project

    SciTech Connect (OSTI)

    Ron Rebenitsch; Randall Bush; Allen Boushee; Brad G. Stevens; Kirk D. Williams; Jeremy Woeste; Ronda Peters; Keith Bennett

    2009-04-24T23:59:59.000Z

    WIND-TO-HYDROGEN ENERGY PILOT PROJECT: BASIN ELECTRIC POWER COOPERATIVE In an effort to address the hurdles of wind-generated electricity (specifically wind's intermittency and transmission capacity limitations) and support development of electrolysis technology, Basin Electric Power Cooperative (BEPC) conducted a research project involving a wind-to-hydrogen system. Through this effort, BEPC, with the support of the Energy & Environmental Research Center at the University of North Dakota, evaluated the feasibility of dynamically scheduling wind energy to power an electrolysis-based hydrogen production system. The goal of this project was to research the application of hydrogen production from wind energy, allowing for continued wind energy development in remote wind-rich areas and mitigating the necessity for electrical transmission expansion. Prior to expending significant funding on equipment and site development, a feasibility study was performed. The primary objective of the feasibility study was to provide BEPC and The U.S. Department of Energy (DOE) with sufficient information to make a determination whether or not to proceed with Phase II of the project, which was equipment procurement, installation, and operation. Four modes of operation were considered in the feasibility report to evaluate technical and economic merits. Mode 1 - scaled wind, Mode 2 - scaled wind with off-peak, Mode 3 - full wind, and Mode 4 - full wind with off-peak In summary, the feasibility report, completed on August 11, 2005, found that the proposed hydrogen production system would produce between 8000 and 20,000 kg of hydrogen annually depending on the mode of operation. This estimate was based on actual wind energy production from one of the North Dakota (ND) wind farms of which BEPC is the electrical off-taker. The cost of the hydrogen produced ranged from $20 to $10 per kg (depending on the mode of operation). The economic sensitivity analysis performed as part of the feasibility study showed that several factors can greatly affect, both positively and negatively, the "per kg" cost of hydrogen. After a September 15, 2005, meeting to evaluate the advisability of funding Phase II of the project DOE concurred with BEPC that Phase I results did warrant a "go" recommendation to proceed with Phase II activities. The hydrogen production system was built by Hydrogenics and consisted of several main components: hydrogen production system, gas control panel, hydrogen storage assembly and hydrogen-fueling dispenser The hydrogen production system utilizes a bipolar alkaline electrolyzer nominally capable of producing 30 Nm3/h (2.7 kg/h). The hydrogen is compressed to 6000 psi and delivered to an on-site three-bank cascading storage assembly with 80 kg of storage capacity. Vehicle fueling is made possible through a Hydrogenics-provided gas control panel and dispenser able to fuel vehicles to 5000 psi. A key component of this project was the development of a dynamic scheduling system to control the wind energy's variable output to the electrolyzer cell stacks. The dynamic scheduling system received an output signal from the wind farm, processed this signal based on the operational mode, and dispatched the appropriate signal to the electrolyzer cell stacks. For the study BEPC chose to utilize output from the Wilton wind farm located in central ND. Site design was performed from May 2006 through August 2006. Site construction activities were from August to November 2006 which involved earthwork, infrastructure installation, and concrete slab construction. From April - October 2007, the system components were installed and connected. Beginning in November 2007, the system was operated in a start-up/shakedown mode. Because of numerous issues, the start-up/shakedown period essentially lasted until the end of January 2008, at which time a site acceptance test was performed. Official system operation began on February 14, 2008, and continued through the end of December 2008. Several issues continued to prevent consistent operation, resulting in operation o

  16. EIS-0470: Cape Wind Energy Project, Final General Conformity...

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

    70: Cape Wind Energy Project, Final General Conformity Determination EIS-0470: Cape Wind Energy Project, Final General Conformity Determination Cape Wind Energy Project, Final...

  17. Fact Sheet: Tehachapi Wind Energy Storage Project (October 2012...

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

    Tehachapi Wind Energy Storage Project (October 2012) Fact Sheet: Tehachapi Wind Energy Storage Project (October 2012) The Tehachapi Wind Energy Storage Project (TSP) Battery Energy...

  18. Community Wind: Once Again Pushing the Envelope of Project Finance

    E-Print Network [OSTI]

    bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    Wind Power Projects in the United States. ” Energy Policy.Wind Energy Association (AWEA). 2010. Community Wind Policy

  19. PowerJet Wind Turbine Project

    SciTech Connect (OSTI)

    Bartlett, Raymond J

    2008-11-30T23:59:59.000Z

    PROJECT OBJECTIVE The PowerJet wind turbine overcomes problems characteristic of the small wind turbines that are on the market today by providing reliable output at a wide range of wind speeds, durability, silent operation at all wind speeds, and bird-safe operation. Prime Energyù��s objective for this project was to design and integrate a generator with an electrical controller and mechanical controls to maximize the generation of electricity by its wind turbine. The scope of this project was to design, construct and test a mechanical back plate to control rotational speed in high winds, and an electronic controller to maximize power output and to assist the base plate in controlling rotational speed in high winds. The test model will continue to operate beyond the time frame of the project, with the ultimate goal of manufacturing and marketing the PowerJet worldwide. Increased Understanding of Electronic & Mechanical Controls Integrated With Electricity Generator The PowerJet back plate begins to open as wind speed exceeds 13.5 mps. The pressure inside the turbine and the turbine rotational speed are held constant. Once the back plate has fully opened at approximately 29 mps, the controller begins pulsing back to the generator to limit the rotational speed of the turbine. At a wind speed in excess of 29 mps, the controller shorts the generator and brings the turbine to a complete stop. As the wind speed subsides, the controller releases the turbine and it resumes producing electricity. Data collection and instrumentation problems prevented identification of the exact speeds at which these events occur. However, the turbine, controller and generator survived winds in excess of 36 mps, confirming that the two over-speed controls accomplished their purpose. Technical Effectiveness & Economic Feasibility Maximum Electrical Output The output of electricity is maximized by the integration of an electronic controller and mechanical over-speed controls designed and tested during the course of this project. The output exceeds that of the PowerJetù��s 3-bladed counterparts (see Appendix). Durability All components of the PowerJet turbine assemblyù��including the electronic and mechanical controls designed, manufactured and field tested during the course of this projectù��proved to be durable through severe weather conditions, with constant operation and no interruption in energy production. Low Cost Materials for the turbine, generator, tower, charge controllers and ancillary parts are available at reasonable prices. Fabrication of these parts is also readily available worldwide. The cost of assembling and installing the turbine is reduced because it has fewer parts and requires less labor to manufacture and assemble, making it competitively priced compared with turbines of similar output manufactured in the U.S. and Europe. The electronic controller is the unique part to be included in the turbine package. The controllers can be manufactured in reasonably-sized production runs to keep the cost below $250 each. The data logger and 24 sensors are for research only and will be unnecessary for the commercial product. Benefit To Public The PowerJet wind-electric system is designed for distributed wind generation in 3 and 4 class winds. This wind turbine meets DOEù��s requirements for a quiet, durable, bird-safe turbine that eventually can be deployed as a grid-connected generator in urban and suburban settings. Results As described more fully below and illustrated in the Appendices, the goals and objectives outlined in 2060 SOPO were fully met. Electronic and mechanical controls were successfully designed, manufactured and integrated with the generator. The turbine, tower, controllers and generators operated without incident throughout the test period, surviving severe winter and summer weather conditions such as extreme temperatures, ice and sustained high winds. The electronic controls were contained in weather-proof electrical boxes and the elec

  20. New England Wind Energy Education Project (NEWEEP)

    SciTech Connect (OSTI)

    Grace, Robert C.; Craddock, Kathryn A.; von Allmen, Daniel R.

    2012-04-25T23:59:59.000Z

    Project objective is to develop and disseminate accurate, objective information on critical wind energy issues impacting market acceptance of hundreds of land-based projects and vast off-shore wind developments proposed in the 6-state New England region, thereby accelerating the pace of wind installation from today's 140 MW towards the region's 20% by 2030 goals of 12,500 MW. Methodology: This objective will be accomplished by accumulating, developing, assembling timely, accurate, objective and detailed information representing the 'state of the knowledge' on critical wind energy issues impacting market acceptance, and widely disseminating such information. The target audience includes state agencies and local governments; utilities and grid operators; wind developers; agricultural and environmental groups and other NGOs; research organizations; host communities and the general public, particularly those in communities with planned or operating wind projects. Information will be disseminated through: (a) a series of topic-specific web conference briefings; (b) a one-day NEWEEP conference, back-to-back with a Utility Wind Interest Group one-day regional conference organized for this project; (c) posting briefing and conference materials on the New England Wind Forum (NEWF) web site and featuring the content on NEWF electronic newsletters distributed to an opt-in list of currently over 5000 individuals; (d) through interaction with and participation in Wind Powering America (WPA) state Wind Working Group meetings and WPA's annual All-States Summit, and (e) through the networks of project collaborators. Sustainable Energy Advantage, LLC (lead) and the National Renewable Energy Laboratory will staff the project, directed by an independent Steering Committee composed of a collaborative regional and national network of organizations. Major Participants - the Steering Committee: In addition to the applicants, the initial collaborators committing to form a Steering Committee consists of the Massachusetts Renewable Energy Trust; Maine Public Utilities Commission; New Hampshire office of Energy & Planning, the Connecticut Clean Energy Fund;, ISO New England; Utility Wind Interest Group; University of Massachusetts Wind Energy Center; Renewable Energy New England (a new partnership between the renewable energy industry and environmental public interest groups), and Lawrence Berkeley National Laboratory (conditionally). The Steering Committee will: (1) identify and prioritize topics of greatest interest or concern where detailed, objective and accurate information will advance the dialogue in the region; (2) identify critical outreach venues, influencers and experts; (3) direct and coordinate project staff; (4) assist project staff in planning briefings and conferences described below; (5) identify topics needing additional research or technical assistance and (6) identify and recruit additional steering committee members. Impacts/Benefits/Outcomes: By cutting through the clutter of competing and conflicting information on critical issues, this project is intended to encourage the market's acceptance of appropriately-sited wind energy generation.

  1. Offshore Wind Farm Layout Optimization (OWFLO) Project: Preliminary Results

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Offshore Wind Farm Layout Optimization (OWFLO) Project: Preliminary Results Christopher N. Elkinton the layout of an offshore wind farm presents a significant engineering challenge. Most of the optimization literature to date has focused on land-based wind farms, rather than on offshore farms. Typically, energy

  2. INL Wind Farm Project Description Document

    SciTech Connect (OSTI)

    Gary Siefert

    2009-07-01T23:59:59.000Z

    The INL Wind Farm project proposes to install a 20 MW to 40 MW wind farm on government property, consisting of approximately ten to twenty full-sized (80-meter hub height) towers with 2 MW turbines, and access roads. This includes identifying the optimal turbine locations, building access roads, and pouring the tower foundations in preparation for turbine installation. The project successfully identified a location on INL lands with commercially viable wind resources (i.e., greater than 11 mph sustained winds) for a 20 to 40 MW wind farm. Additionally, the proposed Wind Farm was evaluated against other General Plant Projects, General Purpose Capital Equipment projects, and Line Item Construction Projects at the INL to show the relative importance of the proposed Wind Farm project.

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

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01T23:59:59.000Z

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

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01T23:59:59.000Z

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

  5. Wind Energy Education and Outreach Project

    SciTech Connect (OSTI)

    David G. Loomis

    2011-04-15T23:59:59.000Z

    The purpose of Illinois State Universityâ??s wind project was to further the education and outreach of the university concerning wind energy. This project had three major components: to initiate and coordinate a Wind Working Group for the State of Illinois, to launch a Renewable Energy undergraduate program, and to develop the Center for Renewable Energy that will sustain the Illinois Wind Working Group and the undergraduate program.

  6. Wind Powering America's Wind for Schools Project: Summary Report

    SciTech Connect (OSTI)

    Baring-Gould, I.; Newcomb, C.

    2012-06-01T23:59:59.000Z

    This report provides an overview of the U.S. Department of Energy, Wind Powering America, Wind for Schools project. It outlines teacher-training activities and curriculum development; discusses the affiliate program that allows school districts and states to replicate the program; and contains reports that provide an update on activities and progress in the 11 states in which the Wind for Schools project operates.

  7. Searchlight Wind Energy Project FEIS Appendix B

    Office of Environmental Management (EM)

    Bird and Bat Conservation Strategy Searchlight BBCS i October 2012 Searchlight Wind Energy Project Bird and Bat Conservation Strategy Prepared for: Duke Energy Renewables 550...

  8. Project Title: Residential wind turbine design Project Description: This project aims to

    E-Print Network [OSTI]

    Muradoglu, Metin

    that wind is expected to come. Therefore it may be a good idea to consider a vertical-axis wind turbine of the conventional wind turbines use horizontal- axis configuration (see Fig. 1) and is aligned with the directionPROJECT 1: Project Title: Residential wind turbine design Project Description: This project aims

  9. U.S. Offshore Wind Advanced Technology Demonstration Projects...

    Energy Savers [EERE]

    U.S. Offshore Wind Advanced Technology Demonstration Projects Public Meeting Transcript for Offshore Wind Demonstrations U.S. Offshore Wind Advanced Technology Demonstration...

  10. EA-1852: Cloud County Community College Wind Energy Project,...

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

    2: Cloud County Community College Wind Energy Project, Cloud County, Kansas EA-1852: Cloud County Community College Wind Energy Project, Cloud County, Kansas Summary This EA...

  11. NREL Wind to Hydrogen Project: Renewable Hydrogen Production...

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

    Wind to Hydrogen Project: Renewable Hydrogen Production for Energy Storage & Transportation NREL Wind to Hydrogen Project: Renewable Hydrogen Production for Energy Storage &...

  12. EIS-0470: Cape Wind Energy Project, Nantucket Sound, Offshore...

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

    June 25, 2014 EIS-0470: Cape Wind Energy Project, Final General Conformity Determination Cape Wind Energy Project, Final General Conformity Determination, June 23, 2014 December...

  13. Searchlight Wind Energy Project FEIS Appendix F

    Office of Environmental Management (EM)

    501 homeowners in the six towns around the Sound photo simulations of what the offshore wind project would allegedly look like from their homes. Then the team asked homeowners if...

  14. A Review of Wind Project Financing Structures in the USA

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and Performancecapital to finance wind project costs. Roughly $28 billion (90-95% of the total costs of a wind project qualify for 5-

  15. San Gorgonio Pass wind energy project, California

    SciTech Connect (OSTI)

    Not Available

    1982-06-01T23:59:59.000Z

    Construction and operation of large-scale wind-turbine fields on approximately 12,780 acres of public land in the San Gorgonio Pass of Palm Springs, California are proposed. The wind farm systems would be operated by Windfarms Limited, U.S. Windpower, Southern California Edison Company, PanAero Corporation, the city of Riverside, and San Gorgonio Farms, Inc. Implementation of the preferred scheme would allow development of wind turbines on public lands except in those areas that have been identified as having resources that are extremely sensitive to development. Positive and negative impacts of the project are discussed.

  16. The Wind Forecast Improvement Project (WFIP): A Public/Private...

    Office of Environmental Management (EM)

    The Wind Forecast Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The...

  17. AWEA Wind Project Operations and Maintenance and Safety Seminar

    Office of Energy Efficiency and Renewable Energy (EERE)

    The AWEA Wind Project O&M and Safety Seminar is designed for owners, operators, turbine manufactures, material suppliers, wind technicians, managers, supervisors, engineers, and occupational...

  18. Wind Power Project Repowering: History, Economics, and Demand...

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

    Wind Power Project Repowering: History, Economics, and Demand Wind Exchange Webinar Eric Lantz January 21, 2015 NRELPR-6A20-63591 2 Presentation Overview 1. Background - Concepts...

  19. Wind Integration, Transmission, and Resource Assessment and Characterization Projects

    Broader source: Energy.gov [DOE]

    This report covers the Wind and Water Power Program’s Wind Integration, Transmission, and Resource Assessment and Characterization Projects from FY 2006 to FY 2014.

  20. EA-1970: Fishermen's Energy LLC Offshore Wind Demonstration Project...

    Office of Environmental Management (EM)

    to Fishermen's Atlantic City Windfarm, LLC to construct and operate up to six wind turbine generators, for an offshore wind demonstration project, approximately 2.8 nautical...

  1. Great Plains Wind Energy Transmission Development Project

    SciTech Connect (OSTI)

    Brad G. Stevens, P.E.; Troy K. Simonsen; Kerryanne M. Leroux

    2012-06-09T23:59:59.000Z

    In fiscal year 2005, the Energy & Environmental Research Center (EERC) received funding from the U.S. Department of Energy (DOE) to undertake a broad array of tasks to either directly or indirectly address the barriers that faced much of the Great Plains states and their efforts to produce and transmit wind energy at the time. This program, entitled Great Plains Wind Energy Transmission Development Project, was focused on the central goal of stimulating wind energy development through expansion of new transmission capacity or development of new wind energy capacity through alternative market development. The original task structure was as follows: Task 1 - Regional Renewable Credit Tracking System (later rescoped to Small Wind Turbine Training Center); Task 2 - Multistate Transmission Collaborative; Task 3 - Wind Energy Forecasting System; and Task 4 - Analysis of the Long-Term Role of Hydrogen in the Region. As carried out, Task 1 involved the creation of the Small Wind Turbine Training Center (SWTTC). The SWTTC, located Grand Forks, North Dakota, consists of a single wind turbine, the Endurance S-250, on a 105-foot tilt-up guyed tower. The S-250 is connected to the electrical grid on the 'load side' of the electric meter, and the power produced by the wind turbine is consumed locally on the property. Establishment of the SWTTC will allow EERC personnel to provide educational opportunities to a wide range of participants, including grade school through college-level students and the general public. In addition, the facility will allow the EERC to provide technical training workshops related to the installation, operation, and maintenance of small wind turbines. In addition, under Task 1, the EERC hosted two small wind turbine workshops on May 18, 2010, and March 8, 2011, at the EERC in Grand Forks, North Dakota. Task 2 involved the EERC cosponsoring and aiding in the planning of three transmission workshops in the midwest and western regions. Under Task 3, the EERC, in collaboration with Meridian Environmental Services, developed and demonstrated the efficacy of a wind energy forecasting system for use in scheduling energy output from wind farms for a regional electrical generation and transmission utility. With the increased interest at the time of project award in the production of hydrogen as a critical future energy source, many viewed hydrogen produced from wind-generated electricity as an attractive option. In addition, many of the hydrogen production-related concepts involve utilization of energy resources without the need for additional electrical transmission. For this reason, under Task 4, the EERC provided a summary of end uses for hydrogen in the region and focused on one end product in particular (fertilizer), including several process options and related economic analyses.

  2. NREL Releases RFP for Distributed Wind Turbine Competitiveness Improvement Projects

    Broader source: Energy.gov [DOE]

    In support of DOE's efforts to further develop distributed wind technology, NREL's National Wind Technology Center has released a Request for Proposal for the following Distributed Wind Turbine Competitiveness Improvement Projects on the Federal Business

  3. Cambridge Danehy Park Wind Turbine Preliminary Project Assessment

    E-Print Network [OSTI]

    Cambridge Danehy Park Wind Turbine Preliminary Project Assessment Overview MIT Wind Energy Projects 4 / 25 2.5 / 25 Rated Wind Speed (m/s) 13 10 14.5 ~15 12 The above turbines were chosen to provide, several recent studies examining birds and wind turbines have observed that most birds usually avoid

  4. EIS-0418: PrairieWinds Project, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS analyzes DOE's decision to approve the interconnection request from PrairieWinds for their South Dakota PrairieWinds Project, a 151.5-megawatt (MW) nameplate capacity wind powered generation facility, including 101 General Electric 1.5-MW wind turbine generators, electrical collector lines, collector substation, transmission line, communications system, and wind turbine service access roads.

  5. AWEA Wind Resource & Project Energy Assessment Seminar 2014 ...

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

    AWEA Wind Resource & Project Energy Assessment Seminar 2014 AWEA Wind Resource & Project Energy Assessment Seminar 2014 December 2, 2014 8:00AM EST to December 3, 2014 5:00PM EST...

  6. Wildcat 1 Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project Jump to: navigation, search Name Wildcat 1 Wind

  7. Wildcat Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project Jump to: navigation, search Name Wildcat 1Wind

  8. St. Olaf Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity CorpSpringfield,Wind Farm Jump to:Olaf Wind Project

  9. Stateline Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity CorpSpringfield,WindForeignForestWind EnergyProject

  10. Wind Forecast Improvement Project Southern Study Area Final Report...

    Office of Environmental Management (EM)

    Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report.pdf More Documents & Publications Computational Advances in Applied...

  11. Lessons Learned: Milwaukees Wind Turbine Project

    Energy Savers [EERE]

    City of Milwaukee: Wind Turbine Project Matt Howard, Environmental Sustainability Director Project Best Practices * Transparency and information * Find the most appropriate site -...

  12. EA-1581: Sand Hills Wind Project, Wyoming

    Broader source: Energy.gov [DOE]

    The Bureau of Land Management, with DOE’s Western Area Power Administration as a cooperating agency, was preparing this EA to evaluate the environmental impacts of a proposal to construct, operate, and maintain the Sand Hills Wind Energy Facility on private and federal lands in Albany County, Wyoming. If the proposed action had been implemented, Western would have interconnected the proposed facility to an existing transmission line. This project has been canceled.

  13. Ponnequin Wind Energy Project Weld County, Colorado

    SciTech Connect (OSTI)

    NONE

    1997-08-01T23:59:59.000Z

    The purpose of this environmental assessment (EA) is to provide the U.S. Department of Energy (DOE) and the public with information on potential environmental impacts associated with the development of the Ponnequin Wind Energy Project in Colorado. This EA and public comments received on it will be used in DOE`s deliberations on whether to release funding for the project. This document provides a detailed description of the proposed project and an assessment of potential impacts associated with its construction and operations. Resources and conditions considered in the analysis include streams; wetlands; floodplains; water quality; soils; vegetation; air quality; socioeconomic conditions; energy resources; noise; transportation; cultural resources; visual and land use resources; public health and safety; wildlife; threatened, endangered, and candidate species; and cumulative impacts. The analysis found that the project would have minimal impacts on these resources and conditions, and would not create impacts that exceed the significance criteria defined in this document. 90 refs., 5 figs.

  14. ACOUSTIC STUDY OF THE UD / GAMESA WIND TURBINE PROJECT

    E-Print Network [OSTI]

    Firestone, Jeremy

    ACOUSTIC STUDY OF THE UD / GAMESA WIND TURBINE PROJECT LEWES, DELAWARE January 2009 #12;ACOUSTIC STUDY OF THE UNIVERSITY OF DELAWARE / GAMESA WIND TURBINE PROJECT LEWES, DELAWARE Prepared for SUMMARY The University of Delaware (UD), Lewes proposes to locate a Gamesa G90 2.0MW wind turbine

  15. Community Wind: Once Again Pushing the Envelope of Project Finance

    E-Print Network [OSTI]

    bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    Parke LLP’s Project Finance Newswire, June 2008, pp. 18-26.the Envelope of Project Finance Mark Bolinger Environmentalthe envelope of wind project finance in the U.S. – in many

  16. Wind Energy Center Edgeley/Kulm Project, North Dakota

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

    Environmental Assessment Wind Energy Center EdgeleyKulm Project North Dakota North Dakota Wind, LLC FPL Energy DOEEA-1465 April 2003 Summary S - 1 Final EA SUMMARY The proposed...

  17. Offshore Wind Projects | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM PolicyOf EnvironmentalGuide, JulyIssueOffshore Wind Projects

  18. Adams Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindeySanta Clara, CaliforniaI JumpIowa: EnergyAdamsWind Project

  19. West Holt Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff,Holt Wind Project Jump to: navigation,

  20. Howard Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia, California:Project Jump to:Would You RebuildlocationsWind

  1. Selawik Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAir JumpCalifornia | OpenSelawik Wind Project

  2. Neppel Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel Wind Power Project Jump to: navigation,

  3. Cape Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LPInformation 8thCalwind IICaney River JumpCapeWind Project

  4. Condon Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia,2005) |UseCondon Wind Project Jump to:

  5. Don Sneve Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision| Open EnergyProject Projectonly approvedSneve Wind

  6. WindSENSE Project Summary: FY2009-2011

    SciTech Connect (OSTI)

    Kamath, C

    2011-09-25T23:59:59.000Z

    Renewable resources, such as wind and solar, are providing an increasingly larger percentage of our energy needs. To successfully integrate these intermittent resources into the power grid while maintaining its reliability, we need to better understand the characteristics and predictability of the variability associated with these power generation resources. WindSENSE, a three year project at Lawrence Livermore National Laboratory, considered the problem of scheduling wind energy on the grid from the viewpoint of the control room operator. Our interviews with operators at Bonneville Power Administration (BPA), Southern California Edison (SCE), and California Independent System Operator (CaISO), indicated several challenges to integrating wind power generation into the grid. As the percentage of installed wind power has increased, the variable nature of the generation has become a problem. For example, in the Bonneville Power Administration (BPA) balancing area, the installed wind capacity has increased from 700 MW in 2006-2007 to over 1300 MW in 2008 and more than 2600 MW in 2009. To determine the amount of energy to schedule for the hours ahead, operators typically use 0-6 hour ahead forecasts, along with the actual generation in the previous hours and days. These forecasts are obtained from numerical weather prediction (NWP) simulations or based on recent trends in wind speed in the vicinity of the wind farms. However, as the wind speed can be difficult to predict, especially in a region with complex terrain, the forecasts can be inaccurate. Complicating matters are ramp events, where the generation suddenly increases or decreases by a large amount in a short time (Figure 1, right panel). These events are challenging to predict, and given their short duration, make it difficult to keep the load and the generation balanced. Our conversations with BPA, SCE, and CaISO indicated that control room operators would like (1) more accurate wind power generation forecasts for use in scheduling and (2) additional information that can be exploited when the forecasts do not match the actual generation. To achieve this, WindSENSE had two areas of focus: (1) analysis of historical data for better insights, and (2) observation targeting for improved forecasts. The goal was to provide control room operators with an awareness of wind conditions and energy forecasts so they can make well-informed scheduling decisions, especially in the case of extreme events such as ramps.

  7. Webinar: Wind-to-Hydrogen Cost Modeling and Project Findings

    Broader source: Energy.gov [DOE]

    Video recording and text version of the webinar titled, Wind-to-Hydrogen Cost Modeling and Project Findings, originally presented on January 17, 2013.

  8. EA-1611: Colorado Highlands Wind Project, Logan County, Colorado...

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

    Western Area Power Administration prepared an EA in 2009 to assess the potential environmental impacts of interconnecting the proposed Colorado Highlands Wind Project to Western's...

  9. Fast Verification of Wind Turbine Power Summary of Project Results

    E-Print Network [OSTI]

    Fast Verification of Wind Turbine Power Curves: Summary of Project Results by: Cameron Brown ­ s equation on high frequency wind turbine measurement data sampled at one sample per second or more. The aim's Nordtank wind turbine at the RisÞ site, the practical application of this new method was tested

  10. Feasibility Study --Project Full Breeze By the Wind Energy Projects in Action (WEPA) Full Breeze Project team

    E-Print Network [OSTI]

    Feasibility Study -- Project Full Breeze By the Wind Energy Projects in Action (WEPA) Full Breeze Department of Facilities approached the wind energy sub-community in the spring of 2009 to assist in a study

  11. Danehy Park Wind Turbine Project Preliminary Assessment Report

    E-Print Network [OSTI]

    Danehy Park Wind Turbine Project Preliminary Assessment Report Danehy Park Project Group Wind turbine. Katherine Dykes and Sungho Lee for their leadership, guidance, and feedback. #12;1 Introduction sensors were mounted is marked with a yellow star. #12;2 Turbine Evaluation Set This report evaluates

  12. New England Wind Forum: A Wind Powering America Project - Newsletter #6 - September 2010, (NEWF)

    SciTech Connect (OSTI)

    Grace, R.; Gifford, J.; Leeds, T.; Bauer, S.

    2010-09-01T23:59:59.000Z

    Wind Powering America program launched the New England Wind Forum (NEWF) in 2005 to provide a single comprehensive source of up-to-date, Web-based information on a broad array of wind energy issues pertaining to New England. The NEWF newsletter provides New England stakeholders with updates on wind energy development in the region.

  13. Offshore Wind Energy Permitting: A Survey of U.S. Project Developers

    SciTech Connect (OSTI)

    Van Cleve, Frances B.; Copping, Andrea E.

    2010-11-30T23:59:59.000Z

    The U.S. Department of Energy (DOE) has adopted a goal to generate 20% of the nation’s electricity from wind power by 2030. Achieving this “20% Wind Scenario” in 2030 requires acceleration of the current rate of wind project development. Offshore wind resources contribute substantially to the nation’s wind resource, yet to date no offshore wind turbines have been installed in the U.S. Progress developing offshore wind projects has been slowed by technological challenges, uncertainties about impacts to the marine environment, siting and permitting challenges, and viewshed concerns. To address challenges associated with siting and permitting, Pacific Northwest National Laboratory (PNNL) surveyed offshore wind project developers about siting and project development processes, their experience with the environmental permitting process, and the role of coastal and marine spatial planning (CMSP) in development of the offshore wind industry. Based on the responses to survey questions, we identify several priority recommendations to support offshore wind development. Recommendations also include considerations for developing supporting industries in the U.S. and how to use Coastal and Marine Spatial Planning (CMSP) to appropriately consider ocean energy among existing ocean uses. In this report, we summarize findings, discuss the implications, and suggest actions to improve the permitting and siting process.

  14. New England Wind Forum: A Wind Powering America Project, Newsletter #5 -- January 2010, Wind and Hydropower Technologies Program (WHTP)

    SciTech Connect (OSTI)

    Grace, R. C.; Gifford, J.

    2010-01-01T23:59:59.000Z

    Wind Powering America program launched the New England Wind Forum (NEWF) in 2005 to provide a single comprehensive source of up-to-date, Web-based information on a broad array of wind energy issues pertaining to New England. The NEWF newsletter provides New England stakeholders with updates on wind energy development in the region. In addition to regional updates, Issue #5 offers an interview with Angus King, former governor of Maine and co-founder of Independence Wind.

  15. Final Scientific Report - Wind Powering America State Outreach Project

    SciTech Connect (OSTI)

    Sinclair, Mark; Margolis, Anne

    2012-02-01T23:59:59.000Z

    The goal of the Wind Powering America State Outreach Project was to facilitate the adoption of effective state legislation, policy, finance programs, and siting best practices to accelerate public acceptance and development of wind energy. This was accomplished by Clean Energy States Alliance (CESA) through provision of informational tools including reports and webinars as well as the provision of technical assistance to state leaders on wind siting, policy, and finance best practices, identification of strategic federal-state partnership activities for both onshore and offshore wind, and participation in regional wind development collaboratives. The Final Scientific Report - Wind Powering America State Outreach Project provides a summary of the objectives, activities, and outcomes of this project as accomplished by CESA over the period 12/1/2009 - 11/30/2011.

  16. Feasibility Study for a Hopi Utility-Scale Wind Project

    SciTech Connect (OSTI)

    Kendrick Lomayestewa

    2011-05-31T23:59:59.000Z

    The goal of this project was to investigate the feasibility for the generation of energy from wind and to parallel this work with the development of a tribal utility organization capable of undertaking potential joint ventures in utility businesses and projects on the Hopi reservation. The goal of this project was to investigate the feasibility for the generation of energy from wind and to parallel this work with the development of a tribal utility organization capable of undertaking potential joint ventures in utility businesses and projects on the Hopi reservation. Wind resource assessments were conducted at two study sites on Hopi fee simple lands located south of the city of Winslow. Reports from the study were recently completed and have not been compared to any existing historical wind data nor have they been processed under any wind assessment models to determine the output performance and the project economics of turbines at the wind study sites. Ongoing analysis of the wind data and project modeling will determine the feasibility of a tribal utility-scale wind energy generation.

  17. Community Wind: Once Again Pushing the Envelope of Project Finance

    SciTech Connect (OSTI)

    bolinger, Mark A.

    2011-01-18T23:59:59.000Z

    In the United States, the 'community wind' sector - loosely defined here as consisting of relatively small utility-scale wind power projects that sell power on the wholesale market and that are developed and owned primarily by local investors - has historically served as a 'test bed' or 'proving grounds' for up-and-coming wind turbine manufacturers that are trying to break into the U.S. wind power market. For example, community wind projects - and primarily those located in the state of Minnesota - have deployed the first U.S. installations of wind turbines from Suzlon (in 2003), DeWind (2008), Americas Wind Energy (2008) and later Emergya Wind Technologies (2010), Goldwind (2009), AAER/Pioneer (2009), Nordic Windpower (2010), Unison (2010), and Alstom (2011). Thus far, one of these turbine manufacturers - Suzlon - has subsequently achieved some success in the broader U.S. wind market as well. Just as it has provided a proving grounds for new turbines, so too has the community wind sector served as a laboratory for experimentation with innovative new financing structures. For example, a variation of one of the most common financing arrangements in the U.S. wind market today - the special allocation partnership flip structure (see Figure 1 in Section 2.1) - was first developed by community wind projects in Minnesota more than a decade ago (and is therefore sometimes referred to as the 'Minnesota flip' model) before being adopted by the broader wind market. More recently, a handful of community wind projects built over the past year have been financed via new and creative structures that push the envelope of wind project finance in the U.S. - in many cases, moving beyond the now-standard partnership flip structures involving strategic tax equity investors. These include: (1) a 4.5 MW project in Maine that combines low-cost government debt with local tax equity, (2) a 25.3 MW project in Minnesota using a sale/leaseback structure, (3) a 10.5 MW project in South Dakota financed by an intrastate offering of both debt and equity, (4) a 6 MW project in Washington state that taps into New Markets Tax Credits using an 'inverted' or 'pass-through' lease structure, and (5) a 9 MW project in Oregon that combines a variety of state and federal incentives and loans with unconventional equity from high-net-worth individuals. In most cases, these are first-of-their-kind structures that could serve as useful examples for other projects - both community and commercial wind alike. This report describes each of these innovative new financing structures in some detail, using a case-study approach. The purpose is twofold: (1) to disseminate useful information on these new financial structures, most of which are widely replicable; and (2) to highlight the recent policy changes - many of them temporary unless extended - that have facilitated this innovation. Although the community wind market is currently only a small sub-sector of the U.S. wind market - as defined here, less than 2% of the overall market at the end of 2009 (Wiser and Bolinger 2010) - its small size belies its relevance to the broader market. As such, the information provided in this report has relevance beyond its direct application to the community wind sector. The next two sections of this report briefly summarize how most community wind projects in the U.S. have been financed historically (i.e., prior to this latest wave of innovation) and describe the recent federal policy changes that have enabled a new wave of financial innovation to occur, respectively. Section 4 contains brief case studies of how each of the five projects mentioned above were financed, noting the financial significance of each. Finally, Section 5 concludes by distilling a number of general observations or pertinent lessons learned from the experiences of these five projects.

  18. EA-1611: Colorado Highlands Wind Project, Logan County, Colorado

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration prepared an EA in 2009 to assess the potential environmental impacts of interconnecting the proposed Colorado Highlands Wind Project to Western’s transmission system. The EA analyzed a proposal for 60 wind turbine generators with a total output nameplate capacity of 90 megawatts (MW). Western prepared a supplemental EA to assess the potential environmental impacts of the proposed expansion of the project by 11 wind turbine generators that would add approximately 20 MW. Additional information is available on the Western Area Power Administration webpage for this project.

  19. Final Technical Report - Kotzebue Wind Power Project - Volume II

    SciTech Connect (OSTI)

    Rana Zucchi, Global Energy Concepts, LLC; Brad Reeve, Kotzebue Electric Association; DOE Project Officer - Doug Hooker

    2007-10-31T23:59:59.000Z

    The Kotzebue Wind Power Project is a joint undertaking of the U.S. Department of Energy (DOE); Kotzebue Electric Association (KEA); and the Alaska Energy Authority (AEA). The goal of the project is to develop, construct, and operate a wind power plant interconnected to a small isolated utility grid in an arctic climate in Northwest Alaska. The primary objective of KEA’s wind energy program is to bring more affordable electricity and jobs to remote Alaskan communities. DOE funding has allowed KEA to develop a multi-faceted approach to meet these objectives that includes wind project planning and development, technology transfer, and community outreach. The first wind turbines were installed in the summer of 1997 and the newest turbines were installed in the spring of 2007. The total installed capacity of the KEA wind power project is 1.16 MW with a total of 17 turbines rated between 65 kW and 100 kW. The operation of the wind power plant has resulted in a wind penetration on the utility system in excess of 35% during periods of low loads. This document and referenced attachments are presented as the final technical report for the U.S. Department of Energy (DOE) grant agreement DE-FG36-97GO10199. Interim deliverables previously submitted are also referenced within this document and where reasonable to do so, specific sections are incorporated in the report or attached as appendices.

  20. EA-1610: Windy Hollow Wind Project, Laramie County, Wyoming

    Broader source: Energy.gov [DOE]

    This EA will evaluate the environmental impacts of a proponent request to interconnect their proposed Windy Hollow Wind Project in Laramie County, Wyoming, to DOE’s Western Area Power Administration’s transmission system.

  1. QER- Comment of Oceti Sakowin Sioux Wind Power Project

    Broader source: Energy.gov [DOE]

    Dear Secretariat: Attached please find the Comments of the Oceti Sakowin Sioux Wind Power Project, for inclusion in the record of the QER. If any questions, please direct to the undersigned.

  2. Economic Development Impacts of Community Wind Projects: A Review and Empirical Evaluation

    SciTech Connect (OSTI)

    Lantz, E.; Tegen, S.

    2009-01-01T23:59:59.000Z

    Community wind projects have long been touted (both anecdotally and in the literature) to increase the economic development impacts of wind projects, but most analyses of community wind have been based on expected results from hypothetical projects. This report provides a review of previous economic development analyses of community wind projects and compares these projected results with empirical impacts from projects currently in operation. A review of existing literature reveals two primary conclusions. First, construction-period impacts are often thought to be comparable for both community-and absentee-owned facilities. Second, operations-period economic impacts are observed to be greater for community-owned projects. The majority of studies indicate that the range of increased operations-period impact is on the order of 1.5 to 3.4 times. New retrospective analysis of operating community wind projects finds that total employment impacts from completed community wind projects are estimated to be on the order of four to six 1-year jobs per-MW during construction and 0.3 to 0.6 long-term jobs per-MW during operations. In addition, when comparing retrospective results of community wind to hypothetical average absentee projects, construction-period employment impacts are 1.1 to 1.3 times higher and operations-period impacts are 1.1 to 2.8 times higher for community wind. Comparing the average of the completed community wind projects studied here with retrospective analysis of the first 1,000 MW of wind in Colorado and Iowa indicates that construction-period impacts are as much as 3.1 times higher for community wind, and operations-period impacts are as much as 1.8 times higher. Ultimately, wind projects are a source of jobs and economic development, and community wind projects are shown to have increased impact both during the construction and operations-period of a wind power plant. The extent of increased impact is primarily a function of local ownership and return on investment. As such, policies that prioritize higher levels of local ownership are likely to result in increased economic development impacts. Furthermore, the increased economic development impact of community wind shown here should not be undervalued. As the wind industry grows and approaches penetrations in the U.S. electricity market of 20%, social opposition to new wind power projects may increase. Community wind could provide a valuable strategy for building community support of wind power - especially in communities that are new to wind power. This analysis finds that total employment impacts from completed community wind projects are on the order of four to six 1-year jobs per-MW during construction and 0.3 to 0.6 long-term jobs per-MW during operations. Furthermore, when comparing community wind to hypothetical average absentee projects, construction-period employment impacts are 1.1 to 1.3 times higher and operations-period impacts are 1.1 to 2.8 times higher for community wind. Comparing the average of the completed projects studied here with retrospective analysis of the first 1,000 MW of wind in Colorado and Iowa shows construction-period impacts are as much as 3.1 times higher for community wind, and operations-period impacts are as much as 1.8 times higher. As the wind industry has grown, community wind has largely been a peripheral development model. However, this analysis shows that wind projects are a source of jobs and economic development, and that community wind projects have greater economic development impacts than absentee-owned projects. As such, policies that prioritize higher levels of local ownership are likely to result in increased economic development impacts. While the magnitude of increased benefit is primarily a function of local ownership and project profitability, the increased economic development impact of all community wind projects should not be undervalued. The ability of community wind projects to disperse economic impacts within the states and communities where they are built and to engage local community members

  3. An introduction to the small wind turbine project

    SciTech Connect (OSTI)

    Forsyth, T.L.

    1997-07-01T23:59:59.000Z

    Small wind turbines are typically used for the remote or rural areas of the world including: a village in Chile; a cabin dweller in the U.S.; a farmer who wants to water his crop; or a utility company that wants to use distributed generation to help defer building new transmission lines and distribution facilities. Small wind turbines can be used for powering communities, businesses, homes, and miscellaneous equipment to support unattended operation. This paper covers the U.S. Department of Energy/National Renewable Energy Laboratory Small Wind Turbine project, its specifications, its applications, the subcontractors and their small wind turbines concepts. 4 refs., 4 figs.

  4. Searchlight Wind Energy Project FEIS Appendix D

    Office of Environmental Management (EM)

    temporarily stockpiled on site, shall be stored on heavy plastic and covered to prevent wind and rain erosion at a location designated by the COR. 5. SAMPLING AND TESTING: Sample...

  5. Walnut Wind Project Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtilityInformation Waiver ofAcquisitions JumpWind

  6. Solano Wind Project Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformationSoda Springs,SolaicxSolanoWind Farm

  7. GIS-based Multi-Criteria Analysis of Wind Farm Development Henning Sten Hansen

    E-Print Network [OSTI]

    Hansen, René Rydhof

    GIS-based Multi-Criteria Analysis of Wind Farm Development Henning Sten Hansen National on the environment of traditional power- generating methods, especially coal and oil-fired power stations wind power. A project ­ Wind Energy in the Baltic Sea Region - financed by EU / INTERREG III B was initiated in order

  8. EA-1992: Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

    Broader source: Energy.gov [DOE]

    Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

  9. EIS-0441: Mohave County Wind Farm Project, Mohave County, Arizona

    Broader source: Energy.gov [DOE]

    This EIS, prepared by the Bureau of Land Management with DOE’s Western Area Power Administration as a cooperating agency, evaluated the environmental impacts of a proposed wind energy project on public lands in Mohave County, Arizona. Power generated by this project would tie to the electrical power grid through an interconnection to one of Western’s transmission lines.

  10. Environmental assessment, expanded Ponnequin wind energy project, Weld County, Colorado

    SciTech Connect (OSTI)

    NONE

    1999-02-01T23:59:59.000Z

    The US Department of Energy (DOE) has considered a proposal from the State of Colorado, Office of Energy Conservation (OEC), for funding construction of the Expanded Ponnequin Wind Project in Weld County, Colorado. OEC plans to enter into a contracting arrangement with Public Service Company of Colorado (PSCo) for the completion of these activities. PSCo, along with its subcontractors and business partners, are jointly developing the Expanded Ponnequin Wind Project. The purpose of this Final Environmental Assessment (EA) is to provide DOE and the public with information on potential environmental impacts associated with the Expanded Ponnequin Wind Energy Project. This EA, and public comments received on it, were used in DOE`s deliberations on whether to release funding for the expanded project under the Commercialization Ventures Program.

  11. Omaha Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and Gas CompanyOklahoma/WindOkpilakIIOmaha Wind

  12. Stateline Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity CorpSpringfield,WindForeignForestWind Energy

  13. Fenton Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEurope BV JumpFederal Highway AdministrationFellowsWindWind

  14. Digital Book Showcases Washington Wind Project

    Broader source: Energy.gov [DOE]

    "The New American Farm" chronicles the stages of the Windy Flats/Windy Point project, from prospecting to harvest.

  15. Session: Monitoring wind turbine project sites for avian impacts

    SciTech Connect (OSTI)

    Erickson, Wally

    2004-09-01T23:59:59.000Z

    This third session at the Wind Energy and Birds/Bats workshop consisted of one presentation followed by a discussion/question and answer period. The focus of the session was on existing wind projects that are monitored for their impacts on birds and bats. The presentation given was titled ''Bird and Bat Fatality Monitoring Methods'' by Wally Erickson, West, Inc. Sections included protocol development and review, methodology, adjusting for scavenging rates, and adjusting for observer detection bias.

  16. AWEA Wind Project O&M and Safety Seminar | Department of Energy

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

    CA The AWEA Wind Project O&M and Safety Seminar is where leading owners, operators, turbine manufacturers, material suppliers, wind technicians, managers, supervisors,...

  17. Revealing the Hidden Value that the Federal Investment Tax Credit and Treasury Cash Grant Provide To Community Wind Projects

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    third of the installed cost of a wind project, and thereforeto 95% of the total costs of a wind project qualify for 5-depending on the wind project’s capital cost and capacity

  18. Wind Energy Finance (WEF): An Online Calculator for Economic Analysis of Wind Projects

    SciTech Connect (OSTI)

    Not Available

    2004-02-01T23:59:59.000Z

    This brochure provides an overview of Wind Energy Finance (WEF), a free online cost of energy calculator developed by the National Renewable Energy Laboratory that provides quick, detailed economic evaluation of potential utility-scale wind energy projects. The brochure lists the features of the tool, the inputs and outputs that a user can expect, visuals of the screens and a Cash Flow Results table, and contact information.

  19. Fox Islands Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489Information HydroFontana,datasetWind Farm JumpPhaseIslands

  20. Franklin County Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489Information HydroFontana,datasetWind Farm

  1. Gary Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown, NewG22 Jump to:Garnet Wind Jump to:Gary

  2. Wind Project Siting Tools | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon: EnergyWindCooperatives Jump

  3. Wales Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtilityInformation Waiver of Preferential RightWind

  4. Hardscrabble Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy | OpenHalfWind Jump

  5. Horse Butte Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia, California: EnergyHoloceneHonestHoosacHorse Butte Wind

  6. KDOT Grainfield Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii |Island, Florida: EnergyKDOT Grainfield Wind

  7. Oak Glen Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource HistoryFractures below a19/2008Phase I WindGlen

  8. Madison Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend < MHKconverter <WAGMadison Gas & Electric CoWind

  9. Sherrod Elementary Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPower Partners WindSherbino 2

  10. Shiloh Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPower Partners WindSherbino 2ShikunIII

  11. Smoky Valley Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformation SlimSloughCreekRhode Island:Wind

  12. Snyder Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformation SlimSloughCreekRhodePUD seeWind

  13. Moraine Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinutemanVistaZephyr) Jump to: navigation,Wind Power

  14. Banner Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: EnergyAvignon, France: EnergyBagleyBangladesh: EnergyBanks, Idaho:Wind

  15. Wind Project Development | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia Jump to:Windprovides

  16. Wind Project Permitting | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia Jump

  17. Fenner Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEurope BV JumpFederal Highway AdministrationFellowsWind Power

  18. Environmental Assessment Expanded Ponnequin Wind Energy Project Weld County, Colorado

    SciTech Connect (OSTI)

    N /A

    1999-03-02T23:59:59.000Z

    The U.S.Department of Energy (DOE) has considered a proposal from the State of Colorado, Office of Energy Conservation (OEC), for funding construction of the Expanded Ponnequin Wind Project in Weld County, Colorado. OEC plans to enter into a contracting arrangement with Public Service Company of Colorado (PSCO) for the completion of these activities. PSCo, along with its subcontractors and business partners, are jointly developing the Expanded Ponnequin Wind Project. DOE completed an environmental assessment of the original proposed project in August 1997. Since then, the geographic scope and the design of the project changed, necessitating additional review of the project under the National Environmental Policy Act. The project now calls for the possible construction of up to 48 wind turbines on State and private lands. PSCo and its partners have initiated construction of the project on private land in Weld County, Colorado. A substation, access road and some wind turbines have been installed. However, to date, DOE has not provided any funding for these activities. DOE, through its Commercialization Ventures Program, has solicited applications for financial assistance from state energy offices, in a teaming arrangement with private-sector organizations, for projects that will accelerate the commercialization of emerging renewable energy technologies. The Commercialization Ventures Program was established by the Renewable Energy and Energy Efficiency Technology Competitiveness Act of 1989 (P.L. 101-218) as amended by the Energy Policy Act of 1992 (P.L. 102-486). The Program seeks to assist entry into the marketplace of newly emerging renewable energy technologies, or of innovative applications of existing technologies. In short, an emerging renewable energy technology is one which has already proven viable but which has had little or no operational experience. The Program is managed by the Department of Energy, Office of Energy Efficiency and Renewable Energy. The Federal action triggering the preparation of this EA is the need for DOE to decide whether to release the requested funding to support the construction of the Expanded Ponnequin Wind Project. The purpose of this Final Environmental Assessment (EA) is to provide DOE and the public with information on potential environmental impacts associated with the Expanded Ponnequin Wind Energy Project. This EA, and public comments received on it, were used in DOE's deliberations on whether to release funding for the expanded project under the Commercialization Ventures Program.

  19. EA-1909: South Table Wind Farm Project, Kimball County, Nebraska

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing this EA to evaluate the environmental impacts of interconnecting the proposed South Table Wind Project, which would generate approximately 60 megawatts from about 40 turbines, to Western’s existing Archer-Sidney 115-kV Transmission Line in Kimball County, Nebraska.

  20. Wind Power Project Repowering: History, Economics, and Demand (Presentation)

    SciTech Connect (OSTI)

    Lantz, E.

    2015-01-01T23:59:59.000Z

    This presentation summarizes a related NREL technical report and seeks to capture the current status of wind power project repowering in the U.S. and globally, analyze the economic and financial decision drivers that surround repowering, and to quantify the level and timing of demand for new turbine equipment to supply the repowering market.

  1. Century Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CER es una instituciĂłn que consolida losProjectProject

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    such concern is the potential impact of wind energy projectshas investigated the potential impact of wind projects onassessment of the potential impact of wind facilities on the

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

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01T23:59:59.000Z

    This fact sheet summarizes a systems performance analysis of the wind-diesel project in St. Paul, Alaska. Data provided for this project include load data, average wind turbine output, average diesel plant output, dump (controlling) load, average net capacity factor, average net wind penetration, estimated fuel savings, and wind system availability.

  4. Low Wind Speed Turbine Development Project Report: November 4, 2002 - December 31, 2006

    SciTech Connect (OSTI)

    Mikhail, A.

    2009-01-01T23:59:59.000Z

    This report summarizes work conducted by Clipper Windpower under the DOE Low Wind Speed Turbine project. The objective of this project was to produce a wind turbine that can lower the cost of energy.

  5. EA-1966: Sunflower Wind Project, Hebron, North Dakota

    Broader source: Energy.gov [DOE]

    Western Area Power Administration (Western) prepared an EA to evaluate potential environmental impacts of interconnecting a proposed 80 MW generating facility south of Hebron in Morton and Stark Counties, North Dakota. The proposed wind generating facility of 30-50 wind turbines encompassed approximately 9,000 acres. Ancillary facilities included an underground collection line system, a project substation, one mile of new transmission line, a new switchyard facility on the existing Dickinson-Mandan 230 kV line owned and operated by Western, one permanent meteorological tower, new access roads, and an operations and maintenance building.

  6. Wessington Springs Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff, 2002)Wellington MiddleWellton,Project

  7. Hyannis Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia, California:Project JumpHyEnergy Systems Inc

  8. WINDExchange: Wind for Schools Pilot Project Results

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot Project Results The

  9. Century Wind Project Expansion | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CER es una instituciĂłn que consolida losProject

  10. Dunlap Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision| Open EnergyProjectDraper,NC References:DunesDunlap

  11. Ris-R-1380(EN) Wind Power Projects in the CDM

    E-Print Network [OSTI]

    Risű-R-1380(EN) Wind Power Projects in the CDM: Methodologies and Tools for Baselines, Carbon, lenders, and CDM host countries involved in wind power projects in the CDM. The report explores that are routinely covered in a standard wind power project assessment. The report tests, compares, and recommends

  12. SAR-BASED WIND CLIMATOLOGY FOR WIND TURBINES Merete Bruun Christiansen(1)

    E-Print Network [OSTI]

    SAR-BASED WIND CLIMATOLOGY FOR WIND TURBINES Merete Bruun Christiansen(1) , Charlotte Bay Hasager(1) , Donald Thompson(2) , Lars Boye Hansen(3) (1) Wind Energy Department, Risű National Laboratory, Technical, Denmark ABSTRACT Wind fields extracted from synthetic aperture radar (SAR) imagery are used to analyze

  13. Agua Caliente Wind/Solar Project at Whitewater Ranch

    SciTech Connect (OSTI)

    Hooks, Todd; Stewart, Royce

    2014-12-16T23:59:59.000Z

    Agua Caliente Band of Cahuilla Indians (ACBCI) was awarded a grant by the Department of Energy (DOE) to study the feasibility of a wind and/or solar renewable energy project at the Whitewater Ranch (WWR) property of ACBCI. Red Mountain Energy Partners (RMEP) was engaged to conduct the study. The ACBCI tribal lands in the Coachella Valley have very rich renewable energy resources. The tribe has undertaken several studies to more fully understand the options available to them if they were to move forward with one or more renewable energy projects. With respect to the resources, the WWR property clearly has excellent wind and solar resources. The DOE National Renewable Energy Laboratory (NREL) has continued to upgrade and refine their library of resource maps. The newer, more precise maps quantify the resources as among the best in the world. The wind and solar technology available for deployment is also being improved. Both are reducing their costs to the point of being at or below the costs of fossil fuels. Technologies for energy storage and microgrids are also improving quickly and present additional ways to increase the wind and/or solar energy retained for later use with the network management flexibility to provide power to the appropriate locations when needed. As a result, renewable resources continue to gain more market share. The transitioning to renewables as the major resources for power will take some time as the conversion is complex and can have negative impacts if not managed well. While the economics for wind and solar systems continue to improve, the robustness of the WWR site was validated by the repeated queries of developers to place wind and/or solar there. The robust resources and improving technologies portends toward WWR land as a renewable energy site. The business case, however, is not so clear, especially when the potential investment portfolio for ACBCI has several very beneficial and profitable alternatives.

  14. The T-REX valley wind intercomparison project

    SciTech Connect (OSTI)

    Schmidli, J; Billings, B J; Burton, R; Chow, F K; De Wekker, S; Doyle, J D; Grubisic, V; Holt, T R; Jiang, Q; Lundquist, K A; Ross, A N; Sheridan, P; Vosper, S; Whiteman, C D; Wyszogrodzki, A A; Zaengl, G; Zhong, S

    2008-08-07T23:59:59.000Z

    An accurate simulation of the evolution of the atmospheric boundary layer is very important, as the evolution of the boundary layer sets the stage for many weather phenomena, such as deep convection. Over mountain areas the evolution of the boundary layer is particularly complex, due to the nonlinear interaction between boundary layer turbulence and thermally-induced mesoscale wind systems, such as the slope and valley winds. As the horizontal resolution of operational forecasts progresses to finer and finer resolution, more and more of the thermally-induced mesoscale wind systems can be explicitly resolved, and it is very timely to document the current state-of-the-art of mesoscale models at simulating the coupled evolution of the mountain boundary layer and the valley wind system. In this paper we present an intercomparison of valley wind simulations for an idealized valley-plain configuration using eight state-of-the-art mesoscale models with a grid spacing of 1 km. Different sets of three-dimensional simulations are used to explore the effects of varying model dynamical cores and physical parameterizations. This intercomparison project was conducted as part of the Terrain-induced Rotor Experiment (T-REX; Grubisic et al., 2008).

  15. Wind-To-Hydrogen Project: Electrolyzer Capital Cost Study

    SciTech Connect (OSTI)

    Saur, G.

    2008-12-01T23:59:59.000Z

    This study is being performed as part of the U.S. Department of Energy and Xcel Energy's Wind-to-Hydrogen Project (Wind2H2) at the National Renewable Energy Laboratory. The general aim of the project is to identify areas for improving the production of hydrogen from renewable energy sources. These areas include both technical development and cost analysis of systems that convert renewable energy to hydrogen via water electrolysis. Increased efficiency and reduced cost will bring about greater market penetration for hydrogen production and application. There are different issues for isolated versus grid-connected systems, however, and these issues must be considered. The manner in which hydrogen production is integrated in the larger energy system will determine its cost feasibility and energy efficiency.

  16. NREL Improves System Efficiency and Increases Energy Transfer with Wind2H2 Project, Enabling Reduced Cost Electrolysis Production (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-11-01T23:59:59.000Z

    This fact sheet describes NREL's accomplishments in improving energy transfer within a wind turbine-based hydrogen production system. Work was performed by the Wind2H2 Project team at the National Wind Technology Center in partnership with Xcel Energy.

  17. Community Wind: Once Again Pushing the Envelope of Project Finance

    E-Print Network [OSTI]

    bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    the amount of available wind generation, the shortfall iswhen the amount of wind generation exceeds the Cooperative’sto maximize its wind generation), and is further reduced by

  18. Community Wind: Once Again Pushing the Envelope of Project Finance

    E-Print Network [OSTI]

    bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    Ormand (Oregon Trail Wind Farm, LLC). 2010. PersonalOrganization Harnesses Wind Energy. ” Novogradac Journal ofMark Bolinger. 2010. 2009 Wind Technologies Market Report.

  19. Community Wind: Once Again Pushing the Envelope of Project Finance

    E-Print Network [OSTI]

    bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    Ormand (Oregon Trail Wind Farm, LLC). 2010. PersonalOrmand Hilderbrand (Oregon Trail Wind Farm, LLC); Joaquin17 4.5 PáTu Wind Farm,

  20. Environmental assessment: Kotzebue Wind Installation Project, Kotzebue, Alaska

    SciTech Connect (OSTI)

    NONE

    1998-05-01T23:59:59.000Z

    The DOE is proposing to provide financial assistance to the Kotzebue Electric Association to expand its existing wind installation near Kotzebue, Alaska. Like many rural Alaska towns, Kotzebue uses diesel-powered generators to produce its electricity, the high cost of which is currently subsidized by the Alaska State government. In an effort to provide a cost effective and clean source of electricity, reduce dependence on diesel fuel, and reduce air pollutants, the DOE is proposing to fund an experimental wind installation to test commercially available wind turbines under Arctic conditions. The results would provide valuable information to other Alaska communities experiencing similar dependence on diesel-powered generators. The environmental assessment for the proposed wind installation assessed impacts to biological resources, land use, electromagnetic interference, coastal zone, air quality, cultural resources, and noise. It was determined that the project does not constitute a major Federal action significantly affecting the quality of the human environment. Therefore, the preparation of an environmental impact statement is not required, and DOE has issued a Finding of No Significant Impact.

  1. Coastal Ohio Wind Project for Reduced Barriers to Deployment of Offshore Wind Energy

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Carroll, Michael

    2014-04-09T23:59:59.000Z

    The Coastal Ohio Wind Project was created to establish the viability of wind turbines on the coastal and offshore regions of Northern Ohio. The project’s main goal was to improve operational unit strategies used for environmental impact assessment of offshore turbines on lake wildlife by optimizing and fusing data from the multi-instrument surveillance system and providing an engineering analysis of potential design/operational alternatives for offshore wind turbines. The project also developed a general economic model for offshore WTG deployment to quantify potential revenue losses due to wind turbine shutdown related to ice and avian issues. In a previous phase of this project (Award Number: DE-FG36-06GO86096), we developed a surveillance system that was used to collect different parameters such as passage rates, flight paths, flight directions, and flight altitudes of nocturnal migrating species, movements of birds and bats, and bird calls for assessing patterns and peak passage rates during migration. To derive such parameters we used thermal IR imaging cameras, acoustic recorders, and marine radar Furuno (XANK250), which was coupled with a XIR3000B digitizing card from Russell Technologies and open source radR processing software. The integration yielded a development of different computational techniques and methods, which we further developed and optimized as a combined surveillance system. To accomplish this task we implemented marine radar calibration, optimization of processing parameters, and fusion of the multi-sensor data in order to make inferences about the potential avian targets. The main goal of the data fusion from the multi-sensor environment was aimed at reduction of uncertainties while providing acceptable confidence levels with detailed information about the migration patterns. Another component comprised of an assessment of wind resources in a near lake environment and an investigation of the effectiveness of ice coating materials to mitigate adverse effects of ice formation on wind turbine structures. Firstly, a Zephir LiDAR system was acquired and installed at Woodlands School in Huron, Ohio, which is located near Lake Erie. Wind resource data were obtained at ten measurement heights, 200m, 150m, 100m, 80m, 60m, 40m, 38m, 30m, 20m, and 10m. The Woodlands School’s wind turbine anemometer also measured the wind speed at the hub height. These data were collected for approximately one year. The hub anemometer data correlated well with the LiDAR wind speed measurements at the same height. The data also showed that on several days different power levels were recorded by the turbine at the same wind speed as indicated by the hub anemometer. The corresponding LiDAR data showed that this difference can be attributed to variability in the wind over the turbine rotor swept area, which the hub anemometer could not detect. The observation suggests that single point hub wind velocity measurements are inadequate to accurately estimate the power generated by a turbine at all times since the hub wind speed is not a good indicator of the wind speed over the turbine rotor swept area when winds are changing rapidly. To assess the effectiveness of ice coatings to mitigate the impact of ice on turbine structures, a closed-loop icing research tunnel (IRT) was designed and constructed. By controlling the temperature, air speed, water content and liquid droplet size, the tunnel enabled consistent and repeatable ice accretion under a variety of conditions with temperatures between approximately 0°C and -20°C and wind speeds up to 40 miles per hour in the tunnel’s test section. The tunnel’s cooling unit maintained the tunnel temperature within ±0.2°C. The coatings evaluated in the study were Boyd Coatings Research Company’s CRC6040R3, MicroPhase Coatings Inc.’s PhaseBreak TP, ESL and Flex coatings. Similar overall performance was observed in all coatings tested in that water droplets form on the test articles beginning at the stagnation region and spreading in the downstream direction in time. When compari

  2. GEOL 467/667/MAST 667 -GEOLOGICAL ASPECTS OF OFFSHORE WIND PROJECTS **TENTATIVE** COURSE SYLLABUS

    E-Print Network [OSTI]

    Firestone, Jeremy

    GEOL 467/667/MAST 667 - GEOLOGICAL ASPECTS OF OFFSHORE WIND PROJECTS **TENTATIVE** COURSE SYLLABUS Description: Investigation of the geological and geotechnical aspects of offshore wind projects. Emphasis will be designed around geological and geotechnical topics that are relevant to the development of offshore wind

  3. PREDICTION OF WAVES, WAKES AND OFFSHORE WIND THE RESULTS OF THE POW'WOW PROJECT

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    PREDICTION OF WAVES, WAKES AND OFFSHORE WIND ­ THE RESULTS OF THE POW'WOW PROJECT Gregor Giebel: The POWWOW project (Prediction of Waves, Wakes and Offshore Wind, a EU Coordination Action) aimed to develop. Keywords: Wind resource, wave resource, offshore, short-term prediction, wakes 1 Introduction The nearly

  4. Simran Wind Project P Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCalifornia Sector:Shrenik Industries Jump to:Simran Wind Project P

  5. Super Wind Project Pvt Ltd | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDITCalifornia Sector:Shrenik IndustriesState of KuwaitSuper Wind Project

  6. Williams Elementary and Middle School Wind Project | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project Jump to: navigation, search

  7. Hayes Center Public Schools Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategyHayes Center Public Schools Wind Project

  8. USD 307 Ell-Saline Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project Jump

  9. USD 345 Seaman High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project Jump

  10. USD 373 Walton Rural Life Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project JumpUSD

  11. USD 375 Circle High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project

  12. USD 376 Sterling High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project6

  13. USD 384 Blue Valley Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project684 Blue

  14. USD 393 Solomon High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project684

  15. USD 440 Halstead Schools Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas,UGIURDB Ell-Saline Wind Project684USD

  16. Energy Department Releases New Land-Based/Offshore Wind Resource...

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

    up to 50 nautical miles from shore. It allows users to easily compare land-based with offshore wind resources. For example, it shows that the offshore wind resource of the...

  17. Record of Decision for the Electrical Interconnection of the Windy Point Wind Energy Project.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01T23:59:59.000Z

    The Bonneville Power Administration (BPA) has decided to offer contract terms for interconnection of 250 megawatts (MW) of power to be generated by the proposed Windy Point Wind Energy Project (Wind Project) into the Federal Columbia River Transmission System (FCRTS). Windy Point Partners, LLC (WPP) propose to construct and operate the proposed Wind Project and has requested interconnection to the FCRTS. The Wind Project will be interconnected at BPA's Rock Creek Substation, which is under construction in Klickitat County, Washington. The Rock Creek Substation will provide transmission access for the Wind Project to BPA's Wautoma-John Day No.1 500-kilovolt (kV) transmission line. BPA's decision to offer terms to interconnect the Wind Project is consistent with BPA's Business Plan Final Environmental Impact Statement (BP EIS) (DOE/EIS-0183, June 1995), and the Business Plan Record of Decision (BP ROD, August 15, 1995). This decision thus is tiered to the BP ROD.

  18. Potential Presence of Endangered Wildlife Species at the University of Delaware Wind Power Project Site

    E-Print Network [OSTI]

    Firestone, Jeremy

    Potential Presence of Endangered Wildlife Species at the University of Delaware Wind Power Project wind power project site, we conducted an analysis of the suitability of habitat within the project of potential risk to the species. #12;Corn Snake ­ Fairly common in Delaware, but is not likely to be present

  19. Wind for Schools Project Power System Brief, Wind Powering America Fact Sheet Series

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot ProjectWind Powering

  20. Department of Mechanical and Nuclear Engineering Spring 2011 Wind Tunnel Automation Project

    E-Print Network [OSTI]

    Demirel, Melik C.

    PENNSTATE Department of Mechanical and Nuclear Engineering Spring 2011 Wind Tunnel Automation Project Phase II - Automated Bike Turret Mount Overview SYNERGE LLC is a consulting company working

  1. NREL Wind to Hydrogen Project: Renewable Hydrogen Production for Energy Storage & Transportation (Presentation)

    SciTech Connect (OSTI)

    Ramsden, T.; Harrison, K.; Steward, D.

    2009-11-16T23:59:59.000Z

    Presentation about NREL's Wind to Hydrogen Project and producing renewable hydrogen for both energy storage and transporation, including the challenges, sustainable pathways, and analysis results.

  2. Secretary Chu Unveils 41 New Offshore Wind Power R&D Projects...

    Energy Savers [EERE]

    The above map shows the headquarters locations of all 41 projects. Those shown in blue are focused on advancing offshore wind technologies, such as modeling and design of...

  3. EA-1801: Granite Reliable Power Wind Park Project in Coos County...

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

    June 25, 2010 EA-1801: Final Environmental Impact Granite Reliable Power Wind Project, Coos County, New Hampshire July 23, 2010 EA-1801: Finding of No Significant Impact Granite...

  4. RECIPIENT:City of Ann Arbor PROJECT TITLE: Ann Arbor Wind Generator

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

    Ann Arbor PROJECT TITLE: Ann Arbor Wind Generator " ) STATE: MI Funding Opportunity Announcement Number ProcurementInstrument Number NEPA Control Number CID Number DE-EE0000447...

  5. Fort Carson Wind Resource Assessment

    SciTech Connect (OSTI)

    Robichaud, R.

    2012-10-01T23:59:59.000Z

    This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and economic potential of a wind turbine project on a ridge in the southeastern portion of the Fort Carson Army base.

  6. Offshore Wind Project Surges Ahead in South Carolina

    Broader source: Energy.gov [DOE]

    The Center for Marine and Wetland Studies studies wind speed data from buoys, which have been measuring wind speed and direction for the past year.

  7. Fact Sheet: Tehachapi Wind Energy Storage Project (October 2012...

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

    Wind Resource Area because it is one of the largest wind resource areas in the world. Electricity Delivery & Energy Reliability Energy Storage Program Southern California...

  8. COE projection for the modular WARP{trademark} wind power system for wind farms and electric utility power transmission

    SciTech Connect (OSTI)

    Weisbrich, A.L. [ENECO, West Simsbury, CT (United States); Ostrow, S.L.; Padalino, J. [Raytheon Engineers and Constructors, New York, NY (United States)

    1995-09-01T23:59:59.000Z

    Wind power has emerged as an attractive alternative source of electricity for utilities. Turbine operating experience from wind farms has provided corroborating data of wind power potential for electric utility application. Now, a patented modular wind power technology, the Toroidal Accelerator Rotor Platform (TARP{trademark}) Windframe{trademark}, forms the basis for next generation megawatt scale wind farm and/or distributed wind power plants. When arranged in tall vertically clustered TARP{trademark} module stacks, such power plant units are designated Wind Amplified Rotor Platform (WARP{trademark}) Systems. While heavily building on proven technology, these systems are projected to surpass current technology windmills in terms of performance, user-friendly operation and ease of maintenance. In its unique generation and transmission configuration, the WARP{trademark}-GT System combines both electricity generation through wind energy conversion and electric power transmission. Furthermore, environmental benefits include dramatically less land requirement, architectural appearance, lower noise and EMI/TV interference, and virtual elimination of bird mortality potential. Cost-of-energy (COE) is projected to be from under $0.02/kWh to less than $0.05/kWh in good to moderate wind resource sites.

  9. Wind-Wave Probabilistic Forecasting based on Ensemble

    E-Print Network [OSTI]

    have to be jointly taken into account in some decision-making problems, e.g. offshore wind farmWind-Wave Probabilistic Forecasting based on Ensemble Predictions Maxime FORTIN Kongens Lyngby 2012.imm.dtu.dk IMM-PhD-2012-86 #12;Summary Wind and wave forecasts are of a crucial importance for a number

  10. ForestGALES A PC-based wind risk model

    E-Print Network [OSTI]

    be needed to uproot or break the tree? 3.1 What wind speed would create the force required to damageForestGALES A PC-based wind risk model for British Forests User's Guide Version 2.0 June 2004 Barry by strong winds in Britain 1.1 Historical context ­ Previous predictive windthrow model 1.1 What does Forest

  11. After the wind resource and project site have been determined and the community outreach effort has

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    permit application. See the Fact Sheets on resource assessment and wind resource data for more: Technology Performance Impacts & Issues Siting Resource Assessment Wind Data Permitting Case Studies 1. 2. 3After the wind resource and project site have been determined and the community outreach effort has

  12. Evaluation of Advanced Wind Power Forecasting Models Results of the Anemos Project

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Evaluation of Advanced Wind Power Forecasting Models ­ Results of the Anemos Project I. Martí1.kariniotakis@ensmp.fr Abstract An outstanding question posed today by end-users like power system operators, wind power producers or traders is what performance can be expected by state-of-the-art wind power prediction models. This paper

  13. Short-term Forecasting of Offshore Wind Farm Production Developments of the Anemos Project

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Forecasting of Offshore Wind Farm Production ­ Developments of the Anemos Project J to the large dimensions of offshore wind farms, their electricity production must be known well in advance networks) models were calibrated on power data from two offshore wind farms: Tunoe and Middelgrunden

  14. | | | | |Monday, July 16, 2012 Three Northeast Ohio offshore wind power projects

    E-Print Network [OSTI]

    Rollins, Andrew M.

    | | | | |Monday, July 16, 2012 Home Three Northeast Ohio offshore wind power projects secure federal money By SCOTT SUTTELL 1:52 pm, September 9, 2011 Three Northeast Ohio offshore wind power to "speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy

  15. Bachelor thesis: "Validation of an engineering model of the near wake wind field of wind turbines based on nacelle based lidar measurements"

    E-Print Network [OSTI]

    Peinke, Joachim

    , in an early stage of wind farm layout optimisation and wind turbine loading calculation in wind farms by Ainslie[1], This is widely used in the industry for wind farming purposes. Scope During this project analysis are performed of near wake measurements of a 5 MW wind turbine at the offshore test field alpha

  16. Scoping and Framing Social Opposition to U.S. Wind Projects (Poster)

    SciTech Connect (OSTI)

    Lantz, E.; Flowers, L.

    2010-05-01T23:59:59.000Z

    Historical barriers to wind power include cost and reliability. However, rapid growth has increased the footprint of wind power in the United States, and some parts of the country have begun to observe conflicts between local communities and wind energy development. Thus, while questions of economic viability and the ability of grid operators to effectively manage wind energy have become less significant, community acceptance issues have emerged as a barrier to wind and associated transmission projects. Increasing community acceptance is likely to be a growing challenge as the wind industry seeks electricity sector penetration levels approaching 20%.

  17. Advanced Wind Turbine Program Next Generation Turbine Development Project: June 17, 1997--April 30, 2005

    SciTech Connect (OSTI)

    GE Wind Energy, LLC

    2006-05-01T23:59:59.000Z

    This document reports the technical results of the Next Generation Turbine Development Project conducted by GE Wind Energy LLC. This project is jointly funded by GE and the U.S. Department of Energy's National Renewable Energy Laboratory.The goal of this project is for DOE to assist the U.S. wind industry in exploring new concepts and applications of cutting-edge technology in pursuit of the specific objective of developing a wind turbine that can generate electricity at a levelized cost of energy of $0.025/kWh at sites with an average wind speed of 15 mph (at 10 m height).

  18. Land-Based Wind Plant Balance-of-System Cost Drivers and Sensitivities (Poster)

    SciTech Connect (OSTI)

    Mone, C.; Maples, B.; Hand, M.

    2014-04-01T23:59:59.000Z

    With Balance of System (BOS) costs contributing up to 30% of the installed capital cost, it is fundamental to understand the BOS costs for wind projects as well as potential cost trends for larger turbines. NREL developed a BOS model using project cost estimates developed by industry partners. Aspects of BOS covered include engineering and permitting, foundations for various wind turbines, transportation, civil work, and electrical arrays. The data introduce new scaling relationships for each BOS component to estimate cost as a function of turbine parameters and size, project parameters and size, and geographic characteristics. Based on the new BOS model, an analysis to understand the non?turbine wind plant costs associated with turbine sizes ranging from 1-6 MW and wind plant sizes ranging from 100-1000 MW has been conducted. This analysis establishes a more robust baseline cost estimate, identifies the largest cost components of wind project BOS, and explores the sensitivity of the capital investment cost and the levelized cost of energy to permutations in each BOS cost element. This presentation shows results from the model that illustrate the potential impact of turbine size and project size on the cost of energy from US wind plants.

  19. Klondike III/Biglow Canyon Wind Integration Project; Final Environmental Impact Statement, September 2006.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration

    2006-09-01T23:59:59.000Z

    BPA has been asked by PPM Energy, Inc. to interconnect 300 megawatts (MW) of electricity generated from the proposed Klondike III Wind Project to the Federal Columbia River Transmission System. Orion Energy LLC has also asked BPA to interconnect 400 MW of electricity from its proposed Biglow Canyon Wind Farm, located north and east of the proposed Klondike III Wind Project. (Portland General Electric recently bought the rights to develop the proposed Biglow Canyon Wind Farm from Orion Energy, LLC.) Both wind projects received Site Certificates from the Oregon Energy Facility Siting Council on June 30, 2006. To interconnect these projects, BPA would need to build and operate a 230-kV double-circuit transmission line about 12 miles long, expand one substation and build one new substation. The wind projects would require wind turbines, substation(s), access roads, and other facilities. Two routes for the transmission line are being considered. Both begin at PPM's Klondike Schoolhouse Substation then travel north (Proposed Action) or north and westerly (Middle Alternative) to a new BPA 230-kV substation next to BPA's existing John Day 500-kV Substation. BPA is also considering a No Action Alternative in which BPA would not build the transmission line and would not interconnect the wind projects. The proposed BPA and wind projects would be located on private land, mainly used for agriculture. If BPA decides to interconnect the wind projects, construction of the BPA transmission line and substation(s) could commence as early as the winter of 2006-07. Both wind projects would operate for much of each year for at least 20 years. The proposed projects would generally create no or low impacts. Wildlife resources and local visual resources are the only resources to receive an impact rating other than ''none'' or ''low''. The low to moderate impacts to wildlife are from the expected bird and bat mortality and the cumulative impact of this project on wildlife when combined with other proposed wind projects in the region. The low to high impacts to visual resources reflect the effect that the transmission line and the turbine strings from both wind projects would have on viewers in the local area, but this impact diminishes with distance from the project.

  20. Lessons Learned: Milwaukee’s Wind Turbine Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    U.S. Department of Energy Community and Renewable Energy Success Stories webinar series titled Wind Energy in Urban Environments. This presentation describes a mid-size wind turbine installation near downtown Milwaukee, Wisconsin.

  1. Map of BPA wind interconnection projects - May 2009

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

    5 Condon Wind MW 50 Kittitas Valley MW 108 Desert Claim MW 159 Wild Horse (PSE) 225 MW Columbia Wind MW150 Nine Canyon III MW 32 Nine Canyon III MW 63 Sand Ridge II MW 700 East...

  2. Offshore Wind Market Acceleration Projects | Department of Energy

    Energy Savers [EERE]

    to connect this offshore wind energy to the grid. The University of Delaware is examining potential effects of wind penetration on the Mid-Atlantic electric grid and facilitating...

  3. Economic Development Impacts of Community Wind Projects: A Review and Empirical Evaluation; Preprint

    SciTech Connect (OSTI)

    Lantz, E.; Tegen, S.

    2009-04-01T23:59:59.000Z

    'Community wind' refers to a class of wind energy ownership structures. The extent of local ownership may range from a small minority share to full ownership by persons in the immediate area surrounding the wind project site. Potential project owners include local farmers, businesses, Native American tribes, universities, cooperatives, or any other local entity seeking to invest in wind energy. The opposite of community wind is an 'absentee' project, in which ownership is completely removed from the state and community surrounding the facility. Thus, there is little or no ongoing direct financial benefit to state and local populations aside from salaries for local repair technicians, local property tax payments, and land lease payments. In recent years, the community wind sector has been inhibited by manufacturers' preference for larger turbine orders. This often puts smaller community wind developers and projects at a competitive disadvantage. However, state policies specifically supporting community wind may become a more influential market factor as turbines are now more readily available given manufacturer ramp-ups and the slow-down in the industry that has accompanied the recent economic and financial crises. This report examines existing literature to provide an overview of economic impacts resulting from community wind projects, compares results, and explains variability.

  4. Wind Energy Management System EMS Integration Project: Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

    2010-01-01T23:59:59.000Z

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind and solar power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation), and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind/solar forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. To improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. Currently, uncertainties associated with wind and load forecasts, as well as uncertainties associated with random generator outages and unexpected disconnection of supply lines, are not taken into account in power grid operation. Thus, operators have little means to weigh the likelihood and magnitude of upcoming events of power imbalance. In this project, funded by the U.S. Department of Energy (DOE), a framework has been developed for incorporating uncertainties associated with wind and load forecast errors, unpredicted ramps, and forced generation disconnections into the energy management system (EMS) as well as generation dispatch and commitment applications. A new approach to evaluate the uncertainty ranges for the required generation performance envelope including balancing capacity, ramping capability, and ramp duration has been proposed. The approach includes three stages: forecast and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence levels. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis, incorporating all sources of uncertainties of both continuous (wind and load forecast errors) and discrete (forced generator outages and start-up failures) nature. A new method called the “flying brick” technique has been developed to evaluate the look-ahead required generation performance envelope for the worst case scenario within a user-specified confidence level. A self-validation algorithm has been developed to validate the accuracy of the confidence intervals.

  5. Klondike III/Biglow Canyon Wind Integration Project; Record of Decision, October 25, 2006.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration

    2006-10-25T23:59:59.000Z

    The Bonneville Power Administration (BPA) has decided to implement the Proposed Action identified in the Klondike III/Biglow Canyon Wind Integration Project Final Environmental Impact Statement (FEIS) (DOE/EIS-0374, September 2006). Under the Proposed Action, BPA will offer PPM Energy, Inc. (PPM) contract terms for interconnection of the proposed Klondike III Wind Project, located in Sherman County, Oregon, with the Federal Columbia River Transmission System (FCRTS). BPA will also offer Portland General Electric (PGE)1 contract terms for interconnection of its proposed Biglow Canyon Wind Farm, also located in Sherman County, Oregon, with the FCRTS, as proposed in the FEIS. To interconnect these wind projects, BPA will build and operate a 12-mile long, 230-kilovolt (kV) double-circuit transmission line between the wind projects and BPA's new 230-kV John Day Substation in Sherman County, Oregon. BPA will also expand its existing 500-kV John Day Substation.

  6. EA-1782: University of Delaware Lewes Campus Onsite Wind Energy Project

    Broader source: Energy.gov [DOE]

    The University of Delaware has constructed a wind turbine adjacent to its College of Earth, Ocean, and Environment campus in Lewes, Delaware. DOE proposed to provide the University a $1.43 million grant for this Wind Energy Project from funding provided in the Omnibus Appropriations Act of 2009 (Public Law 111-8) and an additional $1 million provided in the Energy and Water Development Appropriations Act of Fiscal Year 2010. This EA analyzed the potential environmental impacts of the University of Delaware’s Wind Energy Project at its Lewes campus and, for purposes of comparison, an alternative that assumes the wind turbine had not been constructed.

  7. NREL Small Wind Turbine Test Project: Mariah Power's Windspire Wind Turbine Test Chronology

    SciTech Connect (OSTI)

    Huskey, A.; Forsyth, T.

    2009-06-01T23:59:59.000Z

    This report presents a chronology of tests conducted at NREL's National Wind Technology Center on Mariah Power's Windspire 1.2-kW wind turbine and a letter of response from Mariah Power.

  8. New England Wind Forum: A Wind Powering America Project, Volume 1, Issue 4 -- May 2008 (Newsletter)

    SciTech Connect (OSTI)

    Grace, R. C.; Gifford, J.

    2008-05-01T23:59:59.000Z

    The New England Wind Forum electronic newsletter summarizes the latest news in wind energy development activity, markets, education, and policy in the New England region. It also features an interview with a key figure influencing New England's wind energy development. Volume 1, Issue 4 features an interview with Brian Fairbank, president and CEO of Jiminy Peak Mountain Resort.

  9. Short-term Wind Power Prediction for Offshore Wind Farms -Evaluation of Fuzzy-Neural Network Based Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based of offshore farms and their secure integration to the grid. Modeling the behavior of large wind farms presents the new considerations that have to be made when dealing with large offshore wind farms

  10. EA-1852: Cloud County Community College Wind Energy Project, Cloud County, Kansas

    Broader source: Energy.gov [DOE]

    This EA was to evaluate the environmental impacts of a proposal to authorize the expenditure of federal funds by Cloud County Community College (CCCC) for a wind energy project. CCCC has installed three wind turbines and proposed to install a fourth turbine on their campus in Concordia, Kansas, for use in their wind energy training curriculum and to provide electricity for their campus. This EA has been canceled.

  11. New Report Highlights Trends in Offshore Wind with 14 Projects...

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

    the advanced stages of development- together representing nearly 4,900 megawatts (MW) of potential offshore wind energy capacity for the United States. Further, this year's report...

  12. Advanced Wind Energy Projects Test Facility Moving to Texas Tech...

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

    technologies. The Lubbock site will include an initial installation of two 225-kilowatt wind turbines and three anemometer towers, with the potential to expand to nine or more...

  13. Final Project Report, Bristol Bay Native Corporation Wind and Hydroelectric Feasibility Study

    SciTech Connect (OSTI)

    Vaught, Douglas J.

    2007-03-31T23:59:59.000Z

    The Bristol Bay Native Corporation (BBNC) grant project focused on conducting nine wind resource studies in eight communities in the Bristol Bay region of southwest Alaska and was administered as a collaborative effort between BBNC, the Alaska Energy Authority, Alaska Village Electric Cooperative, Nushagak Electric Cooperative (NEC), Naknek Electric Association (NEA), and several individual village utilities in the region. BBNC’s technical contact and the project manager for this study was Douglas Vaught, P.E., of V3 Energy, LLC, in Eagle River, Alaska. The Bristol Bay region of Alaska is comprised of 29 communities ranging in size from the hub community of Dillingham with a population of approximately 3,000 people, to a few Native Alaska villages that have a few tens of residents. Communities chosen for inclusion in this project were Dillingham, Naknek, Togiak, New Stuyahok, Kokhanok, Perryville, Clark’s Point, and Koliganek. Selection criteria for conduction of wind resource assessments in these communities included population and commercial activity, utility interest, predicted Class 3 or better wind resource, absence of other sources of renewable energy, and geographical coverage of the region. Beginning with the first meteorological tower installation in October 2003, wind resource studies were completed at all sites with at least one year, and as much as two and a half years, of data. In general, the study results are very promising for wind power development in the region with Class 6 winds measured in Kokhanok; Class 4 winds in New Stuyahok, Clark’s Point, and Koliganek; Class 3 winds in Dillingham, Naknek, and Togiak; and Class 2 winds in Perryville. Measured annual average wind speeds and wind power densities at the 30 meter level varied from a high of 7.87 meters per second and 702 watts per square meter in Kokhanok (Class 6 winds), to a low of 4.60 meters per second and 185 watts per square meter in Perryville (Class 2 winds).

  14. EA-1884: Invenergy Interconnection for the Wray Wind Energy Project, Town of Wray, Yuma County, CO

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing this EA to evaluate the environmental impacts of interconnecting the proposed Wray Wind Energy Project, for approximately 90 megawatts of wind generation, to Western’s existing Wray Substation in Yuma County, Colorado.

  15. Final Map Draft Comparison Report WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT

    E-Print Network [OSTI]

    SOLUTIONS, LLC (now AWS Truewind LLC) 255 FULLER ROAD, SUITE 274 ALBANY, NEW YORK Michael Brower PrincipalII Final Map Draft Comparison Report #12;WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT Tel: 978-749-9591 Fax: 978-749-9713 mbrower@awstruewind.com August 10, 2004 #12;2 WIND ENERGY RESOURCE

  16. 1 Energy Markets and Policy Group Energy Analysis Department The Impact of Wind Power Projects

    E-Print Network [OSTI]

    Firestone, Jeremy

    1 Energy Markets and Policy Group · Energy Analysis Department The Impact of Wind Power Projects) This analysis was funded by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Wind & Hydropower Technologies Program #12;2 Energy Markets and Policy Group · Energy Analysis

  17. EA-1970: Fishermen’s Energy LLC Offshore Wind Demonstration Project, offshore Atlantic City, New Jersey

    Broader source: Energy.gov [DOE]

    DOE is proposing to provide funding to Fishermen’s Atlantic City Windfarm, LLC to construct and operate up to six wind turbine generators, for an offshore wind demonstration project, approximately 2.8 nautical miles off the coast of Atlantic City, NJ. The proposed action includes a cable crossing from the turbines to an on-shore existing substation.

  18. EIS-0438: Interconnection of the Proposed Hermosa West Wind Farm Project, Albany County, Wyoming

    Broader source: Energy.gov [DOE]

    After the applicant withdrew its request to interconnect the proposed Hermosa West Wind Farm Project with Western Area Power Administration’s transmission system, Western cancelled preparation of an EIS to evaluate the potential environmental impacts of the proposal.

  19. EA-1923: Green Energy School Wind Turbine Project on Saipan, Commonwealth of the Northern Mariana Islands

    Broader source: Energy.gov [DOE]

    This EA will evaluate the potential environmental impacts of a proposal to provide funding for the Green Energy School Project which partially consists of eight 20 kW wind turbines at the Saipan Southern High School.

  20. EIS-0469: Proposed Wilton IV Wind Energy Center Project, Burleigh County, North Dakota

    Broader source: Energy.gov [DOE]

    Western Area Power Administration is evaluating the potential environmental impacts of interconnecting NextEra Energy Resources proposed Wilton IV Wind Energy Center Project, near Bismarck, North Dakota, to Western’s existing Wilton/Baldwin substation and allowing NextEra’s existing wind projects in this area to operate above 50 annual MW. Western is preparing a Supplemental Draft EIS to address substantial changes to the proposal, including 30 turbine locations and 5 alternate turbine locations in Crofte Township.

  1. Tropical bases by regular projections

    E-Print Network [OSTI]

    Hept, Kerstin

    2007-01-01T23:59:59.000Z

    We consider the tropical variety $\\mathcal{T}(I)$ of a prime ideal $I$ generated by the polynomials $f_1, ..., f_r$ and revisit the regular projection technique introduced by Bieri and Groves from a computational point of view. In particular, we show that $I$ has a short tropical basis of cardinality at most $r + \\codim I + 1$ at the price of increased degrees, and we provide a computational description of these bases.

  2. Flinthills Tech College Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEuropeStrat.pdfInactive JumpFirst WindWater Wind

  3. Nederland High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to: navigation,Nebraska/Wind Resources/FullWind

  4. Dilcon Community School Inc Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05bGabbs TypeWinds WindDilcon Community

  5. Diller-Odell High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05bGabbs TypeWinds WindDilcon

  6. EA-1955: Campbell County Wind Project, Pollock, South Dakota

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration (Western) is preparing an EA to analyze the potential environmental impacts of a proposal to interconnect, via a proposed new substation, a proposed Dakota Plains Energy, LLC, 99-megawatt wind farm near Pollock, South Dakota, to Western’s existing transmission line at that location.

  7. Offshore wind project surges ahead in South Carolina

    Broader source: Energy.gov [DOE]

    Researchers from Coastal Carolina University, working alongside Clemson University, Savannah River National Laboratory and the University of South Carolina, started collecting wind speeds, as well as current, wave and other oceanographic information, in July 2009 from near the coast to as far as 12 miles off shore.

  8. NCAR WRF-based data assimilation and forecasting systems for wind energy applications power

    E-Print Network [OSTI]

    Kim, Guebuem

    NCAR WRF-based data assimilation and forecasting systems for wind energy applications power Yuewei of these modeling technologies w.r.t. wind energy applications. Then I'll discuss wind farm

  9. An Automatic Load Sharing Approach for a DFIG Based Wind Generator in a Microgrid

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    An Automatic Load Sharing Approach for a DFIG Based Wind Generator in a Microgrid M. A. Barik and H generator. An automatic load sharing approach for a doubly-fed induction generator (DFIG) based wind wind velocity. The load demand for the wind generator is determined based on the variation of its

  10. MODEL REQUEST FOR PROPOSALS TO PROVIDE ENERGY AND OTHER ATTRIBUTES FROM AN OFFSHORE WIND POWER PROJECT

    SciTech Connect (OSTI)

    Jeremy Firestone; Dawn Kurtz Crompton

    2011-10-22T23:59:59.000Z

    This document provides a model RFP for new generation. The 'base' RFP is for a single-source offshore wind RFP. Required modifications are noted should a state or utility seek multi-source bids (e.g., all renewables or all sources). The model is premised on proposals meeting threshold requirements (e.g., a MW range of generating capacity and a range in terms of years), RFP issuer preferences (e.g., likelihood of commercial operation by a date certain, price certainty, and reduction in congestion), and evaluation criteria, along with a series of plans (e.g., site, environmental effects, construction, community outreach, interconnection, etc.). The Model RFP places the most weight on project risk (45%), followed by project economics (35%), and environmental and social considerations (20%). However, if a multi-source RFP is put forward, the sponsor would need to either add per-MWh technology-specific, life-cycle climate (CO2), environmental and health impact costs to bid prices under the 'Project Economics' category or it should increase the weight given to the 'Environmental and Social Considerations' category.

  11. Observation Targeting for the Tehachapi Pass and Mid-Columbia Basin: WindSENSE Phase III Project Summary Report

    SciTech Connect (OSTI)

    Hanley, D

    2011-10-22T23:59:59.000Z

    The overall goal of this multi-phased research project known as WindSENSE is to develop an observation system deployment strategy that would improve wind power generation forecasts. The objective of the deployment strategy is to produce the maximum benefit for 1- to 6-hour ahead forecasts of wind speed at hub-height ({approx}80 m). In Phase III of the project, the focus was on the Mid-Columbia Basin region which encompasses the Bonneville Power Administration (BPA) wind generation area shown in Figure 1 that includes Klondike, Stateline, and Hopkins Ridge wind plants. The typical hub height of a wind turbine is approximately 80-m above ground level (AGL). So it would seem that building meteorological towers in the region upwind of a wind generation facility would provide data necessary to improve the short-term forecasts for the 80-m AGL wind speed. However, this additional meteorological information typically does not significantly improve the accuracy of the 0- to 6-hour ahead wind power forecasts because processes controlling wind variability change from day-to-day and, at times, from hour-to-hour. It is also important to note that some processes causing significant changes in wind power production function principally in the vertical direction. These processes will not be detected by meteorological towers at off-site locations. For these reasons, it is quite challenging to determine the best type of sensors and deployment locations. To address the measurement deployment problem, Ensemble Sensitivity Analysis (ESA) was applied in the Phase I portion of the WindSENSE project. The ESA approach was initially designed to produce spatial fields that depict the sensitivity of a forecast metric to a set of prior state variables selected by the user. The best combination of variables and locations to improve the forecast was determined using the Multiple Observation Optimization Algorithm (MOOA) developed in Phase I. In Zack et al. (2010a), the ESA-MOOA approach was applied and evaluated for the wind plants in the Tehachapi Pass region for a period during the warm season. That research demonstrated that forecast sensitivity derived from the dataset was characterized by well-defined, localized patterns for a number of state variables such as the 80-m wind and the 25-m to 1-km temperature difference prior to the forecast time. The sensitivity patterns produced as part of the Tehachapi Pass study were coherent and consistent with the basic physical processes that drive wind patterns in the Tehachapi area. In Phase II of the WindSENSE project, the ESA-MOOA approach was extended and applied to the wind plants located in the Mid-Columbia Basin wind generation area of Washington-Oregon during the summer and to the Tehachapi Pass region during the winter. The objective of this study was to identify measurement locations and variables that have the greatest positive impact on the accuracy of wind forecasts in the 0- to 6-hour look-ahead periods for the two regions and to establish a higher level of confidence in ESA-MOOA for mesoscale applications. The detailed methodology and results are provided in separate technical reports listed in the publications section below. Ideally, the data assimilation scheme used in the Phase III experiments would have been based upon an ensemble Kalman filter (EnKF) that was similar to the ESA method used to diagnose the Mid-Columbia Basin sensitivity patterns in the previous studies. However, running an EnKF system at high resolution is impractical because of the very high computational cost. Thus, it was decided to use a three-dimensional variational (3DVAR) analysis scheme that is less computationally intensive. The objective of this task is to develop an observation system deployment strategy for the mid Columbia Basin (i.e. the BPA wind generation region) that is designed to produce the maximum benefit for 1- to 6-hour ahead forecasts of hub-height ({approx}80 m) wind speed with a focus on periods of large changes in wind speed. There are two tasks in the current project effort designed to validate

  12. SHM BASED SYSTEM DESIGN OFA WIND TURBINE TOWER USING A MODAL SENSITIVITY BASED BAYES DETECTOR

    E-Print Network [OSTI]

    Boyer, Edmond

    SHM BASED SYSTEM DESIGN OFA WIND TURBINE TOWER USING A MODAL SENSITIVITY BASED BAYES DETECTOR Mads@ramboll.com ABSTRACT It is investigated if material based structural safety can be replaced with safety obtained from of the NREL 5MW wind turbine tower subjected to bending fatigue and horizontal circumferential cracking

  13. EIS-0413: Searchlight Wind Energy Project, Searchlight, NV

    Broader source: Energy.gov [DOE]

    The Department of the Interior’s Bureau of Land Management, with DOE’s Western Area Power Administration as a cooperating agency, is preparing this EIS to evaluate the environmental impacts of a proposal to construct and operate 156 wind turbine generators and related facilities on public lands surrounding the town of Searchlight, Nevada. The proposal includes a substation that would be operated by Western.

  14. Regional Community Wind Conferences, Great Plains Windustry Project

    SciTech Connect (OSTI)

    Daniels, Lisa [Windustry

    2013-02-28T23:59:59.000Z

    Windustry organized and produced five regional Community Wind Across America (CWAA) conferences in 2010 and 2011 and held two CWAA webinars in 2011 and 2012. The five conferences were offered in regions throughout the United States: Denver, Colorado Â? October 2010 St. Paul, Minnesota Â? November 2010 State College, Pennsylvania Â? February 2011 Ludington, Michigan (co-located with the Michigan Energy Fair) June 2011 Albany, New York October 2011

  15. Offshore Wind Technology Development Projects | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM PolicyOf EnvironmentalGuide, JulyIssueOffshore Wind

  16. Leupp Schools Inc Wind Project 1 | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners and Wind EnergyIndiana:New York:New York:LeslieMeadow,Leupp Schools

  17. Leupp Schools Inc Wind Project 2 | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners and Wind EnergyIndiana:New York:New York:LeslieMeadow,Leupp

  18. Leupp Schools Inc Wind Project 3 | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners and Wind EnergyIndiana:New York:New York:LeslieMeadow,LeuppLeupp

  19. Leupp Schools Inc Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners and Wind EnergyIndiana:New York:New

  20. Flagler Public School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEuropeStrat.pdfInactive JumpFirst Wind (Formerly

  1. Florence High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 NoEuropeStrat.pdfInactive JumpFirstFlorence High School Wind

  2. Grassfield High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJump to: navigation,II Wind Farm

  3. Alleghany High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources Jump to: navigation,Alleghany High School Wind

  4. Wind Projects on Native American Lands | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon: EnergyWindCooperatives Jumpto more

  5. Pantex signing ceremony kicks off wind farm project | National Nuclear

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA Approved: 5-13-14 FEDERALAmerica TreatyWaste PolicyWind|Security

  6. PA Sangli Bundled Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergyFarmsPowerKaitianOstsee Wind AGVerwaltungs GmbHPA Sangli

  7. AWEA Wind Resource & Project Energy Assessment | Department of Energy

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you0 ARRA Newsletters 20103-03 AUDIT REPORT: OAS-L-03-03 DecemberWind Resource

  8. Walsh High School Wind Project | Open Energy Information

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    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtilityInformation Waiver ofAcquisitions JumpWindHigh

  9. Wellington Middle School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff, 2002)Wellington Middle School Wind

  10. White Creek Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to:Westwood Renewables Jump to:meaningWillow I WindCreek

  11. Yankton School District Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Projectsource History View NewYBR Solar JumpSchool

  12. Buffalo Ridge II Wind Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LP Biomass Facility Jump to:Brunei: Energy3 Wind Farm JumpIII

  13. Pocatello Community Charter School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar Group BV Jump to: navigation, searchPocatello Community Charter School Wind

  14. Ponderosa High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar Group BV Jump to: navigation, searchPocatelloIII Wind Farm JumpPonderosa

  15. Hardin-Hilltop Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy | OpenHalfWind Jump to:Hardin-Hilltop

  16. Hastings Public Schools Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy | OpenHalfWindHartlandHaslet,Hastings

  17. Illini Central CUSD 189 Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP Wind Farm Jump to:ILabPointIdahoIdealabwhat does

  18. Jefferson West High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii | Wind FarmJefferson City, Missouri:OffshoreWest

  19. Jerome Middle School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii | Wind FarmJefferson City,JemezJensen

  20. Juneau School District Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii | WindInformationJosephine,Junction

  1. Lamar Wind Energy Project I | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano,Lakefront Tow Tank Jump to:Wind Farm Jump to:I Jump to:

  2. Lamar Wind Energy Project II | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano,Lakefront Tow Tank Jump to:Wind Farm Jump to:I Jump

  3. Lamar Wind Energy Project III | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano,Lakefront Tow Tank Jump to:Wind Farm Jump to:I JumpIII

  4. Langdon Wind Project (4Q07) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano,Lakefront Tow Tank Jump to:Wind FarmLane-ScottOtter

  5. Northern Arizona University Wind Projects | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource History View NewNorthern Arizona University Wind

  6. Loup City High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf KilaueaInformation Other4Q07) Wind Farmsource History View763°,Loup

  7. Luray High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf KilaueaInformation Other4Q07) WindLow VoltageGroupLumos Solar

  8. Rosebud Sioux Wind Energy Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey Jump to:WY) Jump to: navigation,Sioux Wind Energy

  9. Shelley High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPower Partners Wind FarmSheep

  10. Skyline High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey JumpAirPowerSilcioEthanolSkyline High School Wind

  11. Solano Wind Project- phase II | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformationSoda Springs,SolaicxSolanoWind

  12. McKenna Charter School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend <StevensMcClellan, California: EnergyCharter School Wind

  13. Avery County High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy ResourcesInformationGuideInformationAuwahi WindAvery

  14. Southeast Community College Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity Corp Jumpsource HistoryCommunity College Wind

  15. St. Michael Indian School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity CorpSpringfield,Wind Farm Jump to:

  16. Superior Public Schools Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f <Maintained By FaultSunpods Inc Jump to:Superior Public Schools Wind

  17. Wind Forecast Improvement Project Southern Study Area Final Report |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: SinceDevelopment | Department ofPartnerships ToolkitWasteWho Will BeWhy SOFCWilliamWindDepartment

  18. Crawford Public Schools Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.pngRoofs and Heat Islands2007) |of LosPublisher NotWindPublic

  19. AWEA Wind Project Siting Seminar 2015 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 A Strategic26-OPAMATTENDEEES:ofDepartment of EnergyTheAWEA Wind

  20. Elkhorn Valley Public Schools Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision| OpenElectromagnetic ProfilingElgen Wave7) WindPublic

  1. Wind Energy Leasing Handbook

    E-Print Network [OSTI]

    Balasundaram, Balabhaskar "Baski"

    Wind Energy Leasing Handbook Wind Energy Leasing Handbook E-1033 Oklahoma Cooperative Extension?..................................................................................................................... 31 What do wind developers consider in locating wind energy projects?............................................................................................ 37 How do companies and individuals invest in wind energy projects?....................................................................

  2. Robust model based control method for wind energy production A. Pintea 1

    E-Print Network [OSTI]

    Boyer, Edmond

    - linear form on the wind speed, the rotation speed of the turbine and the pitch angle of the blades based control algorithm for a horizontal wind turbine is proposed. In a model-based control approach system. Keywords: Wind power, robustness, IMC, stability, turbine, pitch control. 1. INTRODUCTION Wind

  3. A High-Order Sliding Mode Observer for Sensorless Control ofDFIG-Based Wind Turbines

    E-Print Network [OSTI]

    Boyer, Edmond

    A High-Order Sliding Mode Observer for Sensorless Control ofDFIG-Based Wind Turbines Mohamed control of a doubly-fed induction generator (DFIG) based wind turbine. The sensorless control scheme (generator and turbine). Simulations using the wind turbine simulator FAST on a 1.5- MW three-blade wind

  4. Revealing the Hidden Value that the Federal Investment Tax Credit and Treasury Cash Grant Provide To Community Wind Projects

    SciTech Connect (OSTI)

    Bolinger, Mark A.

    2009-12-14T23:59:59.000Z

    Although the global financial crisis of 2008/2009 has slowed wind power development in general, the crisis has, in several respects, been a blessing in disguise for community wind project development in the United States. For xample, the crisis-induced slowdown in the broader commercial wind market has, for the first time since 2004, created slack in the supply chain, creating an opportunity for shovel-ready community wind projects to finally proceed towards onstruction. Many such projects had been forced to wait on the sidelines as the commercial wind boom of 2005-2008 consumed virtually all available resources needed to complete a wind project (e.g., turbines, cranes, contractors).

  5. EA-1985: Virginia Offshore Wind Technology Advancement Project (VOWTAP), 24 nautical miles offshore of Virginia Beach, Virginia

    Broader source: Energy.gov [DOE]

    DOE is proposing to fund Virginia Electric and Power Company's Virginia Offshore Wind Technology Advancement Project (VOWTAP). The proposed VOWTAP project consists of design, construction and operation of a 12 megawatt offshore wind facility located approximately 24 nautical miles off the coast of Virginia Beach, VA on the Outer Continental Shelf.

  6. Ellsworth Air Force Base Advanced Metering Project

    Broader source: Energy.gov [DOE]

    Presentation covers the Ellsworth Air Force Base Advanced Metering project and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Providence, Rhode Island.

  7. Managing Wind-based Electricity Generation and Storage

    E-Print Network [OSTI]

    Sadeh, Norman M.

    not exacerbate the global warming problem. However, renewable energy is inherently intermittent and variableManaging Wind-based Electricity Generation and Storage by Yangfang Zhou Submitted to the Tepper, and to meet increasing electricity demand without harming the environment. Two of the most promising solutions

  8. Managing Wind-based Electricity Generation and Storage

    E-Print Network [OSTI]

    and solar energy--is free, abundant, and most importantly, does not exacerbate the global warming problemManaging Wind-based Electricity Generation and Storage by Yangfang Zhou Submitted to the Tepper.S. strive to reduce reliance on the import of fossil fuels, and to meet increasing electricity demand

  9. Condition Monitoring of Wind Turbines Based on Amplitude Demodulation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of an electrical machine from the stator current [1]­ [3]. To detect a failure, stationary signal processing tools. This paper proposes a new fault detector based on the amplitude demodulation of the three-phase stator-stationary behavior. Index Terms--Wind turbine, Fault Detection, Bearings, Signal Processing, Amplitude Modulation I

  10. EIS-0333: Maiden Wind Farm Project, Benton and Yakima Counties, Washington

    Broader source: Energy.gov [DOE]

    This EIS analyzes BPA’s proposed action to execute power purchase and interconnection agreements for the purpose of acquiring up to 50 average megawatts (aMW) (up to about 200 MW) of the project developer’s proposed Maiden Wind Farm.

  11. EIS-0462: Crowned Ridge Wind Energy Center Project, Grant and Codington Counties, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS analyzes DOE's decision to approve a grid interconnection request by NextEra Energy Resources for its proposed 150-megawatt (MW) Crowned Ridge Wind Energy Center Project with the Western Area Power Administration's existing Watertown Substation in Codington County, South Dakota.

  12. EIS-0461: Hyde County Wind Energy Center Project, Hyde and Buffalo Counties, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS will evaluate the environmental impacts of interconnecting the proposed 150 megawatt Hyde County Wind Energy Center Project, in Hyde County, South Dakota, with DOE’s Western Area Power Administration’s existing Fort Thompson Substation in Buffalo County, South Dakota.

  13. FINAL TECHNICAL REPORT Project Title: Environmental Impacts of Wind Power Development on the Population Biology

    E-Print Network [OSTI]

    Sandercock, Brett K.

    -7800 (x105) Taber D. Allison, Director of Research and Evaluation, American Wind Wildlife Institute Technology Center, National Renewable Energy Lab, karin_sinclair@nrel.gov, 303-384-6946 DOE Project Team: DOE in the performance of the award, which is protected from public release for a period of time by the terms

  14. Valuation of wind energy projects and statistical analysis of wind power

    E-Print Network [OSTI]

    Nanopoulos, Andrew

    2012-01-01T23:59:59.000Z

    As energy becomes an increasingly important issue for generations to come, it is crucial to develop tools for valuing and understanding energy projects from an economic perspective since ultimately only economically viable ...

  15. Analysis of wind turbine vibrations based on SCADA data

    E-Print Network [OSTI]

    Andrew Kusiak; Zijun Zhang

    2010-01-01T23:59:59.000Z

    Vibrations of a wind turbine have a negative impact on its performance. Mitigating this undesirable impact requires knowledge of the relationship between the vibrations and other wind turbine parameters that could be potentially modified. Three approaches for ranking the impact importance of measurable turbine parameters on the vibrations of the drive train and the tower are discussed. They include the predictor importance analysis, the global sensitivity analysis, and the correlation coefficient analysis versed in data mining and statistics. To decouple the impact of wind speed on the vibrations of the drive train and the tower, the analysis is performed on data sets with narrow speed ranges. Wavelet analysis is applied to filter noisy accelerometer data. To exclude the impact malfunctions on the vibration analysis, the data are analyzed in a frequency domain. Data-mining algorithms are used to build models with turbine parameters of interest as inputs, and the vibrations of drive train and tower as outputs. The performance of each model is thoroughly evaluated based on metrics widely used in the wind industry. The neural network algorithm outperforms other classifiers and is considered to be the most promising approach to study wind turbine vibrations. ?DOI: 10.1115/1.4001461?

  16. Enhanced oil recovery projects data base

    SciTech Connect (OSTI)

    Pautz, J.F.; Sellers, C.A.; Nautiyal, C.; Allison, E.

    1992-04-01T23:59:59.000Z

    A comprehensive enhanced oil recovery (EOR) project data base is maintained and updated at the Bartlesville Project Office of the Department of Energy. This data base provides an information resource that is used to analyze the advancement and application of EOR technology. The data base has extensive information on 1,388 EOR projects in 569 different oil fields from 1949 until the present, and over 90% of that information is contained in tables and graphs of this report. The projects are presented by EOR process, and an index by location is provided.

  17. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 1 Airborne Wind Energy Based on Dual Airfoils

    E-Print Network [OSTI]

    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY 1 Airborne Wind Energy Based on Dual Airfoils Mario Zanon, SŽebastien Gros, Joel Andersson and Moritz Diehl Abstract--The Airborne Wind Energy paradigm Airborne Wind Energy enables flight in higher-altitude, stronger wind layers, the extra drag generated

  18. Web-based Tool for Preliminary Assessment of Wind Power Plant Design

    E-Print Network [OSTI]

    Mustakerov, Ivan

    Web-based Tool for Preliminary Assessment of Wind Power Plant Design Daniela Borissova1 and Ivan. Designing of reliable and cost-effective industrial wind power plant is a prerequisite for the effective use of wind power as an alternative resource. The design of a wind power plant includes the determination

  19. Reactive power control of grid-connected wind farm based on adaptive dynamic programming

    E-Print Network [OSTI]

    He, Haibo

    Reactive power control of grid-connected wind farm based on adaptive dynamic programming Yufei Tang Wind farm Power system Adaptive control a b s t r a c t Optimal control of large-scale wind farm has of wind farm with doubly fed induction generators (DFIG). Specifically, we investigate the on

  20. Wind-Energy based Path Planning For Electric Unmanned Aerial Vehicles Using Markov Decision Processes

    E-Print Network [OSTI]

    Smith, Ryan N.

    Wind-Energy based Path Planning For Electric Unmanned Aerial Vehicles Using Markov Decision wind-energy is one possible way to ex- tend flight duration for Unmanned Arial Vehicles. Wind-energy sources of wind energy available to exploit for this problem [5]: 1) Vertical air motion, such as thermal

  1. Mitigation of Fatigue Loads Using Individual Pitch Control of Wind Turbines Based on FAST

    E-Print Network [OSTI]

    Chen, Zhe

    Mitigation of Fatigue Loads Using Individual Pitch Control of Wind Turbines Based on FAST Yunqian University, China jiz@seu.edu.cn Abstract-With the increase of wind turbine dimension and capacity, the wind turbine structures are subjected to prominent loads and fatigue which would reduce the lifetime of wind

  2. MODULAR MULTI-LEVEL CONVERTER BASED HVDC SYSTEM FOR GRID CONNECTION OF OFFSHORE WIND

    E-Print Network [OSTI]

    Chaudhary, Sanjay

    MODULAR MULTI-LEVEL CONVERTER BASED HVDC SYSTEM FOR GRID CONNECTION OF OFFSHORE WIND POWER PLANT U off-shore wind power plants. The MMC consists of a large number of simple voltage sourced converter offshore wind power plants (WPP) because they offer higher energy yield due to a superior wind profile

  3. RELIABILITY BASED DESIGN OF FIXED FOUNDATION WIND TURBINES

    SciTech Connect (OSTI)

    Nichols, R.

    2013-10-14T23:59:59.000Z

    Recent analysis of offshore wind turbine foundations using both applicable API and IEC standards show that the total load demand from wind and waves is greatest in wave driven storms. Further, analysis of overturning moment loads (OTM) reveal that impact forces exerted by breaking waves are the largest contributor to OTM in big storms at wind speeds above the operating range of 25 m/s. Currently, no codes or standards for offshore wind power generators have been adopted by the Bureau of Ocean Energy Management Regulation and Enforcement (BOEMRE) for use on the Outer Continental Shelf (OCS). Current design methods based on allowable stress design (ASD) incorporate the uncertainty in the variation of loads transferred to the foundation and geotechnical capacity of the soil and rock to support the loads is incorporated into a factor of safety. Sources of uncertainty include spatial and temporal variation of engineering properties, reliability of property measurements applicability and sufficiency of sampling and testing methods, modeling errors, and variability of estimated load predictions. In ASD these sources of variability are generally given qualitative rather than quantitative consideration. The IEC 61400‐3 design standard for offshore wind turbines is based on ASD methods. Load and resistance factor design (LRFD) methods are being increasingly used in the design of structures. Uncertainties such as those listed above can be included quantitatively into the LRFD process. In LRFD load factors and resistance factors are statistically based. This type of analysis recognizes that there is always some probability of failure and enables the probability of failure to be quantified. This paper presents an integrated approach consisting of field observations and numerical simulation to establish the distribution of loads from breaking waves to support the LRFD of fixed offshore foundations.

  4. Watauga High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation, search Contents 1Wastes Hazardous orProject

  5. What Is a Small Community Wind Project? | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to:Westwood Renewables Jump to: navigation,RiparianProject?

  6. Hydrogen Pilot Project Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia, California:ProjectPrograms | Open EnergySurrey,Contents

  7. Community Wind Handbook/Research Project Economics & Financing | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationin UrbanCityCoatedCommunity Electric Coop JumpProject |FindEnergy

  8. Santa Fe Trail High School Wind Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey Jump to:WY)ProjectValley,

  9. United States- Land Based and Offshore Annual Average Wind Speed at 100 Meters

    Broader source: Energy.gov [DOE]

    Full-size, high resolution version of the 100-meter land-based and offshore wind speed resource map.

  10. Sales and Use Tax Exemption for Community Wind Projects

    Broader source: Energy.gov [DOE]

    In May 2007, Nebraska established an exemption from the sales and use tax imposed on the gross receipts from the sale, lease, or rental of personal property for use in a community-based energy...

  11. Wind-electric icemaking project: Analysis and dynamometer testing. Volume 2

    SciTech Connect (OSTI)

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

    1998-07-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    1998-07-01T23:59:59.000Z

    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.

  13. Wind for Schools Project Curriculum Brief (Fact Sheet), Wind And Water Power Program (WWPP)

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot Project

  14. A REAL OPTIONS OPTIMIZATION MODEL TO MEET AVAILABILITY REQUIREMENTS FOR OFFSHORE WIND TURBINES

    E-Print Network [OSTI]

    Sandborn, Peter

    wind farm with prognostic capabilities. Alternative energy sources such as offshore wind turbines-based maintenance. This is especially important for offshore wind farms that require non- traditional resources for a Typical Baseline Offshore Wind Project [2] Wind farms are capital intensive projects, and the economics

  15. 2010 Cost of Wind Energy Review

    SciTech Connect (OSTI)

    Tegen, S.; Hand, M.; Maples, B.; Lantz, E.; Schwabe, P.; Smith, A.

    2012-04-01T23:59:59.000Z

    This document provides a detailed description of NREL's levelized cost of wind energy equation, assumptions and results in 2010, including historical cost trends and future projections for land-based and offshore utility-scale wind.

  16. EA-1902: Northern Wind Project, Roberts County, South Dakota | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJuly 2011DDelphi Automotive Systems,DOEOldThisFindingBased onof

  17. EA-1970: Fishermen's Energy LLC Offshore Wind Demonstration Project,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJuly 2011DDelphiFEA-2013.pdfBasedThe U.S.

  18. EA-1985: Virginia Offshore Wind Technology Advancement Project (VOWTAP), 24

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S.ContaminationJuly 2011DDelphiFEA-2013.pdfBasedTheCounty, IdahoDisposition

  19. Wind Power Project Repowering: Financial Feasibility, Decision Drivers, and Supply Chain Effects

    SciTech Connect (OSTI)

    Lantz, E.; Leventhal, M.; Baring-Gould, I.

    2013-12-01T23:59:59.000Z

    As wind power facilities age, project owners are faced with plant end of life decisions. This report is intended to inform policymakers and the business community regarding the history, opportunities, and challenges associated with plant end of life actions, in particular repowering. Specifically, the report details the history of repowering, examines the plant age at which repowering becomes financially attractive, and estimates the incremental market investment and supply chain demand that might result from future U.S. repowering activities.

  20. Wind Energy Management System Integration Project Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

    2010-09-01T23:59:59.000Z

    The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation) and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. In order to improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively, by including all sources of uncertainty (load, intermittent generation, generators’ forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. In this report, a new methodology to predict the uncertainty ranges for the required balancing capacity, ramping capability and ramp duration is presented. Uncertainties created by system load forecast errors, wind and solar forecast errors, generation forced outages are taken into account. The uncertainty ranges are evaluated for different confidence levels of having the actual generation requirements within the corresponding limits. The methodology helps to identify system balancing reserve requirement based on a desired system performance levels, identify system “breaking points”, where the generation system becomes unable to follow the generation requirement curve with the user-specified probability level, and determine the time remaining to these potential events. The approach includes three stages: statistical and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence intervals. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis incorporating all sources of uncertainty and parameters of a continuous (wind forecast and load forecast errors) and discrete (forced generator outages and failures to start up) nature. Preliminary simulations using California Independent System Operator (California ISO) real life data have shown the effectiveness of the proposed approach. A tool developed based on the new methodology described in this report will be integrated with the California ISO systems. Contractual work is currently in place to integrate the tool with the AREVA EMS system.

  1. GIS-based wind farm site selection: Evaluating the case for New York State

    E-Print Network [OSTI]

    GIS-based wind farm site selection: Evaluating the case for New York State E-mail: rv2216@columbia Conference, Saratoga Springs, NY, November 15, 2011 #12;Where to build a 50 MW wind farm? 1. What sites.clca.columbia.edu GIS-based wind farm site selection: evaluating the case for New York State ­ NEARC GIS conference 2011

  2. High-Order Sliding Mode Control of a DFIG-Based Wind Turbine

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    High-Order Sliding Mode Control of a DFIG-Based Wind Turbine for Power Maximization and Grid Fault tolerance of a Doubly-Fed Induction Generator (DFIG)-based Wind Turbine (WT). These variable speed systems have several advantages over the traditional wind turbine operating methods, such as the reduction

  3. Second-Order Sliding Mode Control for DFIG-Based Wind Turbines

    E-Print Network [OSTI]

    Brest, Université de

    Second-Order Sliding Mode Control for DFIG-Based Wind Turbines Fault Ride-Through Capability-based wind turbine using a high-order sliding mode control. Indeed, it has been recently suggested extra mechanical stress on the wind turbine drive train). Simulations using the NREL FAST code on a 1

  4. SUBSPACE-BASED DETECTION OF FATIGUE DAMAGE ON JACKET SUPPORT STRUCTURES OF OFFSHORE WIND TURBINES

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SUBSPACE-BASED DETECTION OF FATIGUE DAMAGE ON JACKET SUPPORT STRUCTURES OF OFFSHORE WIND TURBINES-based Damage Detec- tion (SSDD) method on model structures for an utilization of this approach on offshore wind damage in real size structural components of offshore wind turbines. KEYWORDS : Damage detection

  5. Displacement of diesel fuel with wind energy in rural Alaskan villages. Final progress and project closeout report

    SciTech Connect (OSTI)

    Meiners, Dennis; Drouhilet, Steve; Reeve, Brad; Bergen, Matt

    2002-03-11T23:59:59.000Z

    The basic concept behind this project was to construct a wind diesel hybrid power system which combines and maximizes the intermittent and variable energy output of wind turbine(s) with diesel generator(s) to provide continuous high quality electric power to weak isolated mini-grids.

  6. New Report Shows Trend Toward Larger Offshore Wind Systems, with 11 Advanced Stage Projects Proposed in U.S. Waters

    Broader source: Energy.gov [DOE]

    The Energy Department today released a new report showing progress for the U.S. offshore wind energy market in 2012, including the completion of two commercial lease auctions for federal Wind Energy Areas and 11 commercial-scale U.S. projects repre

  7. Project Based Energy Conservation vs. Management Based Energy Conservation 

    E-Print Network [OSTI]

    Judy, K.; O'Brien, S.

    2009-01-01T23:59:59.000Z

    Basic American Foods (BAF) is the largest potato dehydrator worldwide. This paper will trace the shift from a Project Based to Management Based energy conservation program. Second only to raw material, energy is one of the highest expenses at BAF...

  8. Project Based Energy Conservation vs. Management Based Energy Conservation

    E-Print Network [OSTI]

    Judy, K.; O'Brien, S.

    Basic American Foods (BAF) is the largest potato dehydrator worldwide. This paper will trace the shift from a Project Based to Management Based energy conservation program. Second only to raw material, energy is one of the highest expenses at BAF...

  9. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedequipment-related wind turbine costs, the overall importinstalled wind power project costs, wind turbine transaction

  10. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedinstalled wind power project costs, wind turbine transactionand components and wind turbine costs. Excluded from all

  11. 20th Century Reanalysis Project Ensemble Gateway: 56 Estimates of World Temperature, Pressure, Humidity, and Wind, 1871-2010

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

    This site provides data from the 20th Century Reanalysis Project, offering temperature, pressure, humidity, and wind predictions in 200 km sections all around the earth from 1871 to 2010, every 6 hours, based on historical data. The ensemble mean and standard deviation for each value were calculated over a set of 56 simulations. Data for each of the 56 ensemble members are included here. The dataset consists of files in netCDF 4 format that are available for download from the National Energy Research. The goal of the 20th Century Reanalysis Project is to use a Kalman filter-based technique to produce a global trophospheric circulation dataset at four-times-daily resolution back to 1871. The only dataset available for the early 20th century consists of error-ridden hand-drawn analyses of the mean sea level pressure field over the Northern Hemisphere. Modern data assimilation systems have the potential to improve upon these maps, but prior to 1948, few digitized upper-air sounding observations are available for such a reanalysis. The global tropospheric circulation dataset will provide an important validation check on the climate models used to make 21st century climate projections....[copied from http://portal.nersc.gov/project/20C_Reanalysis/

  12. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    2011. In March 2011, NRG Bluewater Wind?s Delaware projectPurchaser Delmarva NRG Bluewater Wind (Delaware) Universitythe project, while NRG Bluewater would retain the remaining

  13. Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation

    E-Print Network [OSTI]

    Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving arising in the Airborne Wind Energy paradigm, an essential one is the control of the tethered airfoil], [3], the Airborne Wind Energy (AWE) paradigm shift proposes to get rid of the structural elements

  14. Wind Farm Power Maximization Based On A Cooperative Static Game Approach

    E-Print Network [OSTI]

    Stanford University

    Wind Farm Power Maximization Based On A Cooperative Static Game Approach Jinkyoo Parka, Soonduck efficiency of wind farms using cooperative control. The key factors in determining the power production and the loading for a wind turbine are the nacelle yaw and blade pitch angles. However, the nacelle and blade

  15. QUANTITATIVE DAMAGE ASSESSMENT OF HYBRID COMPOSITE WIND TURBINE BLADES BY ENERGY BASED ACOUSTIC EMISSION SOURCE

    E-Print Network [OSTI]

    Boyer, Edmond

    QUANTITATIVE DAMAGE ASSESSMENT OF HYBRID COMPOSITE WIND TURBINE BLADES BY ENERGY BASED ACOUSTIC in the wind turbine blade. It was tried to apply a new source location method, which has a developed algorithm assessment, source location, wind turbine blade, hybrid composites INTRODUCTION Structural health management

  16. DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES Simon Hoell, Piotr Omenzetter

    E-Print Network [OSTI]

    Boyer, Edmond

    DAMAGE DETECTION IN A WIND TURBINE BLADE BASED ON TIME SERIES METHODS Simon Hoell, Piotr Omenzetter, the consequences are growing sizes of wind turbines (WTs) and erections in remote places, such as off in the past years, thus efficient energy harvesting becomes more important. For the sector of wind energy

  17. Wind-Energy based Path Planning For Unmanned Aerial Vehicles Using Markov Decision Processes

    E-Print Network [OSTI]

    Smith, Ryan N.

    Wind-Energy based Path Planning For Unmanned Aerial Vehicles Using Markov Decision Processes Wesam H. Al-Sabban, Luis F. Gonzalez and Ryan N. Smith Abstract-- Exploiting wind-energy is one possible way to extend the flight duration of an Unmanned Aerial Vehicle. Wind-energy can also be used

  18. An aero-elastic flutter based electromagnetic energy harvester with wind speed augmenting funnel

    E-Print Network [OSTI]

    Stanford University

    An aero-elastic flutter based electromagnetic energy harvester with wind speed augmenting funnel been used to convert wind flow energy into mechanical vibration, which is then transformed-scale renewable energy generating systems such as wind turbines, thermal generators, and solar panels, energy

  19. PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    balancing supply and demand for active power, we also need to compensate reactive power for each wind DGPEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach Chenye Wu, in particular wind power, in form of distributed generation (DG) units. However, one important challenge

  20. PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach

    E-Print Network [OSTI]

    Huang, Jianwei

    balancing supply and demand for active power, we also need to compensate reactive power for each wind DG1 PEV-based Reactive Power Compensation for Wind DG Units: A Stackelberg Game Approach Chenye Wu, in particular wind power, in form of distributed generation (DG) units. However, one important challenge

  1. Validity of Wind Load Distribution based on High Frequency Force Balance Measurements

    E-Print Network [OSTI]

    Chen, Xinzhong

    Validity of Wind Load Distribution based on High Frequency Force Balance Measurements Xinzhong Chen such a modal analysis procedure for background and resonant response, estimation of the generalized wind force is the critical element for response prediction. The generalized wind force can be characterized through

  2. TOWARDS LIFE-CYCLE MANAGEMENT OF WIND TURBINES BASED ON STRUCTURAL HEALTH MONITORING

    E-Print Network [OSTI]

    Stanford University

    TOWARDS LIFE-CYCLE MANAGEMENT OF WIND TURBINES BASED ON STRUCTURAL HEALTH MONITORING K. Smarsly1) strategies can enable wind turbine manufacturers, owners, and operators to precisely schedule maintenance behavior of wind turbines and to reduce (epistemic) uncertainty. Both the resistance parameters

  3. Low-Voltage Ride-Through Techniques for DFIG-Based Wind Turbines

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Low-Voltage Ride-Through Techniques for DFIG-Based Wind Turbines: State-of-the-Art Review deals with low-voltage ride-through (LVRT) capability of wind turbines (WTs) and in particular those as to index some emerging solutions. Index Terms--Wind turbine, doubly-fed induction generator, low voltage

  4. Impedance Spectroscopy Failure Diagnosis of a DFIG-Based Wind Turbine

    E-Print Network [OSTI]

    Brest, Université de

    Impedance Spectroscopy Failure Diagnosis of a DFIG-Based Wind Turbine Mohamed Becherif, Assia Henni, Mohamed Benbouzid and Maxime Wack Abstract-Wind turbines proliferation in industrial and residential of the grounding connection, short circuit and stator resistance variation. Index Terms-Wind turbine, doubly

  5. Energy Based Methods in Wind Turbine Control CeSOS Highlights and AMOS Visions

    E-Print Network [OSTI]

    NÞrvÄg, Kjetil

    Energy Based Methods in Wind Turbine Control CeSOS Highlights and AMOS Visions Morten D. Pedersen 1 / 26 #12;This talk 1 Background 2 Understanding the Wind Turbine 3 Nonlinear Turbine Modeling 4;Background The Problem Previously stable wind turbine systems began exhibiting resonant behavior when put

  6. EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component

    E-Print Network [OSTI]

    Boyer, Edmond

    EEMD-based wind turbine bearing failure detection using the generator stator current homopolar turbine generators for stationary and non stationary cases. Keyword: Wind turbine, induction generator on the installed equipment because they are hardly accessible or even inaccessible [1]. 1.1. Wind turbine failure

  7. Wind Integration, Transmission, and Resource Assessment andCharacteri...

    Office of Environmental Management (EM)

    Assessment and Characterization Projects More Documents & Publications Environmental Wind Projects Testing, Manufacturing, and Component Development Projects Offshore Wind Projects...

  8. Wind turbine blade testing system using base excitation

    DOE Patents [OSTI]

    Cotrell, Jason; Thresher, Robert; Lambert, Scott; Hughes, Scott; Johnson, Jay

    2014-03-25T23:59:59.000Z

    An apparatus (500) for fatigue testing elongate test articles (404) including wind turbine blades through forced or resonant excitation of the base (406) of the test articles (404). The apparatus (500) includes a testing platform or foundation (402). A blade support (410) is provided for retaining or supporting a base (406) of an elongate test article (404), and the blade support (410) is pivotally mounted on the testing platform (402) with at least two degrees of freedom of motion relative to the testing platform (402). An excitation input assembly (540) is interconnected with the blade support (410) and includes first and second actuators (444, 446, 541) that act to concurrently apply forces or loads to the blade support (410). The actuator forces are cyclically applied in first and second transverse directions. The test article (404) responds to shaking of its base (406) by oscillating in two, transverse directions (505, 507).

  9. Ponnequin Wind Energy Project: Reference site avian study, January 1, 1998--December 31, 1998

    SciTech Connect (OSTI)

    Kerlinger, P.; Curry, R.; Ryder, R.

    2000-04-05T23:59:59.000Z

    This report summarizes the results of surveys completed during the period January 1, 1998, through December 31, 1998, at the Ponnequin Wind Energy Project in Weld County, Colorado. The surveys were conducted at two reference sites, and include a pre-construction avian abundance and use survey and raptor nesting, prey, and carcass surveys. The reference sites were situated immediately to the west of the project site in Weld County, Colorado, and 4.8 kilometers to the north of the site in Laramie County, Wyoming. The surveys were conducted along two 800-meter (m) main transects at each site with two 400-m (by 100-m) perpendicular transects. About 30 complete surveys were completed during the year, with a greater frequency of surveys in the late spring and early autumn. The surveys revealed mostly common species, with no endangered or threatened species on the sites. Small numbers of raptors were observed on or near the project and reference areas. During the winter, avian use and abundance was minimal. Prey species consisted primarily of thirteen-lined ground squirrels and northern pocket gophers. Two songbird carcasses were found. The results of these surveys, combined with data from several more months of surveys, will be compared to surveys conducted after construction of the wind farm.

  10. Colorado Wind Resource Map with 17 school locations for a potential pilot project

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot ProjectWind An

  11. Two Colorado-Based Electric Cooperatives Selected as 2014 Wind...

    Energy Savers [EERE]

    wind power, and together, Tri-State and San Isabel are expanding the use of low-cost wind energy, and supporting job creation and economic development within their service...

  12. A SIMPLEX-BASED PROJECTIVE TRANSFORM ESTIMATOR

    E-Print Network [OSTI]

    Robinson, John A.

    A SIMPLEX-BASED PROJECTIVE TRANSFORM ESTIMATOR J A Robinson University of York, UK. INTRODUCTION. THE SAM ESTIMATOR The estimator to be described here is called Simplex-Adapted Mesh (SAM). It has two to in the name ­ a sparse sam- ple mesh and the Nelder-Mead simplex ­ and is more novel. For convenience I use

  13. Web-Based Project Management Tools

    E-Print Network [OSTI]

    Chapman, Clark R.

    Web-Based Project Management Tools Southwest Research InstituteÂź San Antonio, Texas #12;With more any web browser; other client software is not required because the system resides on SwRI's web server using the PIMS include: Cassini (INMS) Deep Impact THEMIS AIM STEREO IMAGE Orbital Express CHIPS

  14. EA-1903: Kansas State University Zond Wind Energy Project, Manhattan, Kansas

    Broader source: Energy.gov [DOE]

    This EA evaluates the potential environmental impacts of a proposal to use Congressional Directed funds to develop the Great Plains Wind Energy Consortium aimed at increasing the penetration of wind energy via distributed wind power generation throughout the region.

  15. Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.

    E-Print Network [OSTI]

    Boyer, Edmond

    of difficulties to the power system operation. This is due to the fluctuating nature of wind generation to the management of wind generation. Accurate and reliable forecasting systems of the wind production are widely

  16. Feasibility analysis of coordinated offshore wind project development in the U.S.

    E-Print Network [OSTI]

    Zhang, Mimi Q

    2008-01-01T23:59:59.000Z

    Wind energy is one of the cleanest and most available resources in the world, and advancements in wind technology are making it more cost effective. Though wind power is rapidly developing in many regions, its variable ...

  17. Development of a Web-based Emissions Reduction Calculator for Green Power Purchases from Texas Wind Energy Providers 

    E-Print Network [OSTI]

    Liu, Z.; Baltazar-Cervantes, J. C.; Gilman, D.; Haberl, J.; Culp, C.

    2005-01-01T23:59:59.000Z

    . Figure 1. The Enertech Wind Turbine Installed in Randall County, Texas 5 Data for this site was provided by Alternative Energy Institute from West Texas A&M University. The wind turbine operated... for the electric utility provider associated with the user. The user input screens for wind energy projects begin with the project input screen, as shown in the first screen of Figure 14. When the user submits this type of project to the emissions calculator...

  18. Land-Based Wind Turbine Transportation and Logistics Barriers and Their Effects on U.S. Wind Markets (Presentation)

    SciTech Connect (OSTI)

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

    2014-05-01T23:59:59.000Z

    The average size of land based wind turbines installed in the United States has increased dramatically over time. As a result wind turbines are facing new transportation and logistics barriers that limit the size of utility scale land based wind turbines that can be deployed in the United States. Addressing these transportation and logistics barriers will allow for even further increases in U.S. turbine size using technologies under development for offshore markets. These barriers are important because larger taller turbines have been identified as a path to reducing the levelized cost of energy for electricity. Additionally, increases in turbine size enable the development of new low and moderate speed markets in the U.S. In turn, wind industry stakeholder support, market stability, and ultimately domestic content and manufacturing competitiveness are potentially affected. In general there is very little recent literature that characterizes transportation and logistics barriers and their effects on U.S. wind markets and opportunities. Accordingly, the objective of this paper is to report the results of a recent NREL study that identifies the barriers, assesses their impact and provides recommendations for strategies and specific actions.

  19. Wind Energy Research Project under the 6th Framework Programme Peter Hjuler Jensen, Ris National Laboratory,

    E-Print Network [OSTI]

    of wind turbines for future very large-scale applications, e.g. offshore wind farms of several hundred MW in wind farms and grid design issues, are to be analyzed, and new design approaches and concepts developed turbine structures. New developments in the field of wind farm lay out, control, and grid connection

  20. Energy Department Offers Conditional Commitment to Cape Wind...

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

    Cape Wind Offshore Wind Generation Project Energy Department Offers Conditional Commitment to Cape Wind Offshore Wind Generation Project July 1, 2014 - 9:23am Addthis News Media...

  1. Data Collection for Current U.S. Wind Energy Projects: Component Costs, Financing, Operations, and Maintenance; January 2011 - September 2011

    SciTech Connect (OSTI)

    Martin-Tretton, M.; Reha, M.; Drunsic, M.; Keim, M.

    2012-01-01T23:59:59.000Z

    DNV Renewables (USA) Inc. (DNV) used an Operations and Maintenance (O&M) Cost Model to evaluate ten distinct cost scenarios encountered under variations in wind turbine component failure rates. The analysis considers: (1) a Reference Scenario using the default part failure rates within the O&M Cost Model, (2) High Failure Rate Scenarios that increase the failure rates of three major components (blades, gearboxes, and generators) individually, (3) 100% Replacement Scenarios that model full replacement of these components over a 20 year operating life, and (4) Serial Failure Scenarios that model full replacement of blades, gearboxes, and generators in years 4 to 6 of the wind project. DNV selected these scenarios to represent a broad range of possible operational experiences. Also in this report, DNV summarizes the predominant financing arrangements used to develop wind energy projects over the past several years and provides summary data on various financial metrics describing those arrangements.

  2. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    directly charging wind power projects for balancing servicesin smaller balancing areas. The successful use of wind power

  3. Development of a Web-based Emissions Reduction Calculator for Green Power Purchases from Texas Wind Energy Providers

    E-Print Network [OSTI]

    Liu, Z.; Baltazar-Cervantes, J. C.; Gilman, D.; Haberl, J.; Culp, C.

    2005-01-01T23:59:59.000Z

    that have been developed to calculate the emissions reductions from electricity provided by wind energy providers in the Texas ERCOT region, including an analysis of actual hourly wind power generated from a wind turbine in Randall County, Texas... development here. The capacity of installed wind turbines totals 1,407 MW as of April 2005 and the planned capacity for new projects 4 rises to 3,700 1 In the 2003 Texas State legislative session...

  4. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    Table 8 Figure 30. Wind Integration Costs at Various LevelsOperations and Maintenance Costs Wind project operations andPublic Service Wind Integration Cost Impact Study. Prepared

  5. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    charging wind power projects for balancing services. 81 BPA,in balancing reserves with increased wind power penetrationin balancing reserves with increased wind power penetration

  6. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    charging wind power projects for balancing services. 88 BPA,in balancing reserves with increased wind power penetrationin balancing reserves with increased wind power penetration

  7. European Wind Energy Conference 2007 Milan Measurement based analysis of active and reactive power

    E-Print Network [OSTI]

    European Wind Energy Conference 2007 ­ Milan 1 Measurement based analysis of active and reactive of the electricity is produced by wind turbines and combined heat and power plants (CHPs). Most of them are connected of reactive power between the 60 kV and the 150 kV networks. Further, the TSO is obligated to compensate

  8. High-Order Sliding Mode Control for DFIG-Based Wind Turbine Fault Ride-Through

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    High-Order Sliding Mode Control for DFIG-Based Wind Turbine Fault Ride-Through Mohamed Benbouzid Turbine (WT) using High-Order Sliding Mode (HOSM) control. Indeed, it has been recently suggested wind turbine are carried-out to evaluate ride-through performance of the proposed HOSM control strategy

  9. Energy analysis of substorms based on remote sensing techniques, solar wind measurements, and geomagnetic indices

    E-Print Network [OSTI]

    Ă?stgaard, Nikolai

    Energy analysis of substorms based on remote sensing techniques, solar wind measurements wind Citation: Ă?stgaard, N., G. Germany, J. Stadsnes, and R. R. Vondrak, Energy analysis of substorms satellite have been used to examine the energy deposition in the Northern Hemisphere by precipitating

  10. Community-Based Sea Level Rise Projections Webinar

    Broader source: Energy.gov [DOE]

    This webinar will present a process for developing community-based sea level rise projections and facilitating their use.

  11. Environmental Assessment and Finding of No Significant Impact: Wind Energy Center Edgeley/Kulm Project, North Dakota

    SciTech Connect (OSTI)

    N /A

    2003-04-15T23:59:59.000Z

    The proposed Edgeley/Kulm Project is a 21-megawatt (MW) wind generation project proposed by Florida Power and Light (FPL) Energy North Dakota Wind LLC (Dakota Wind) and Basin Electric Power Cooperative (Basin). The proposed windfarm would be located in La Moure County, south central North Dakota, near the rural farming communities of Kulm and Edgeley. The proposed windfarm is scheduled to be operational by the end of 2003. Dakota Wind and other project proponents are seeking to develop the proposed Edgeley/Kulm Project to provide utilities and, ultimately, electric energy consumers with electricity from a renewable energy source at the lowest possible cost. A new 115-kilovolt (kV) transmission line would be built to transmit power generated by the proposed windfarm to an existing US Department of Energy Western Area Power Administration (Western) substation located near Edgeley. The proposed interconnection would require modifying Western's Edgeley Substation. Modifying the Edgeley Substation is a Federal proposed action that requires Western to review the substation modification and the proposed windfarm project for compliance with Section 102(2) of the National Environmental Policy Act (NEPA) of 1969, 42 U.S.C. 4332, and Department of Energy NEPA Implementing Procedures (10 CFR Part 1021). Western is the lead Federal agency for preparation of this Environmental Assessment (EA). The US Fish and Wildlife Service (USFWS) is a cooperating agency with Western in preparing the EA. This document follows regulation issued by the Council on Environmental Quality (CEQ) for implementing procedural provisions of NEPA (40 CFR 1500-1508), and is intended to disclose potential impacts on the quality of the human environment resulting from the proposed project. If potential impacts are determined to be significant, preparation of an Environmental Impact Statement would be required. If impacts are determined to be insignificant, Western would complete a Finding of No Significant Impact (FONSI). Environmental protection measures that would be included in the design of the proposed project are included.

  12. Computer-Based Energy Projects: Science Projects in Renewable...

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

    Energy Projects (Four Activities) Grades: 5-8, 9-12 Topic: Energy Basics Owner: National Renewable Energy Laboratory This educational material is brought to you by the U.S....

  13. Cost-Causation-Based Tariffs for Wind Ancillary Service Impacts: Preprint

    SciTech Connect (OSTI)

    Kirby, B.; Milligan, M.; Wan, Y.

    2006-06-01T23:59:59.000Z

    Conference paper discussing the integration cost of wind. Although specific tariffs for wind generation for ancillary services are uncommon, we anticipate that balancing authorities (control areas) and other entities will move toward such tariffs. Tariffs for regulation and imbalance services should be cost-based, recognize the relevant time scales that correspond with utility operational cycles, and properly allocate those costs to those entities that cause the balancing authority to incur the costs. In this paper, we present methods for separating wind's impact into regulation and load following (imbalance) time scales. We show that approximating these impacts with simpler methods can significantly distort cost causation and even cause confusion between the relevant time scales. We present results from NREL's wind data collection program to illustrate the dangers of linearly scaling wind resource data from small wind plants to approximate the wind resource data from large wind plants. Finally, we provide a framework for developing regulation and imbalance tariffs, we outline methods to begin examining contingency reserve requirements for wind plants, we provide guidance on the important characteristics to consider, and we provide hypothetical cases that the tariff can be tested against to determine whether the results are desired.

  14. 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

    2009-12-02T23:59:59.000Z

    With wind energy expanding rapidly in the U.S. and abroad, and with an increasing number of communities considering wind power development nearby, there is an urgent need to empirically investigate common community concerns about wind project development. The concern that property values will be adversely affected by wind energy facilities is commonly put forth by stakeholders. Although this concern is not unreasonable, given property value impacts that have been found near high voltage transmission lines and other electric generation facilities, the impacts of wind energy facilities on residential property values had not previously been investigated thoroughly. The present research collected data on almost 7,500 sales of singlefamily homes situated within 10 miles of 24 existing wind facilities in nine different U.S. states. The conclusions of the study are drawn from eight different hedonic pricing models, as well as both repeat sales and sales volume models. The various analyses are strongly consistent in that none of the models uncovers conclusive evidence of the existence of any widespread property value impacts that might be present in communities surrounding wind energy facilities. Specifically, neither the view of the wind facilities nor the distance of the home to those facilities is found to have any consistent, measurable, and statistically significant effect on home sales prices. Although the analysis cannot dismiss the possibility that individual homes or small numbers of homes have been or could be negatively impacted, it finds that if these impacts do exist, they are either too small and/or too infrequent to result in any widespread, statistically observable impact.

  15. EIS-0470: U.S. Department of Energy Loan Guarantee for the Cape Wind Energy Project on the Outer Continental Shelf off Massachusetts, Nantucket Sound

    Broader source: Energy.gov [DOE]

    The DOE Loan Programs Office is proposing to offer a loan guarantee to Cape Wind Associates, LLC for the construction and start-up of the Cape Wind Energy Project in Nantucket Sound, offshore of Massachusetts. The proposed Cape Wind Energy Project would consist of up to 130, 3.6-MW turbine generators, in an area of roughly 25-square miles, and would include 12.5 miles of 115-kilovolt submarine transmission cable and an electric service platform. To inform DOE's decision regarding a loan guarantee, DOE adopted the Department of the Interior’s 2009 Final Cape Wind Energy Project EIS, in combination with two Cape Wind Environmental Assessments dated May 2010 and April 2011 (per 40 CFR 1506.4), as a DOE Final EIS (DOE/EIS-0470). The adequacy of the Department of the Interior final EIS adopted by DOE is the subject of a judicial action. This project is inactive.

  16. Multivariate analysis and prediction of wind turbine response to varying wind field characteristics based on machine learning

    E-Print Network [OSTI]

    Stanford University

    Multivariate analysis and prediction of wind turbine response to varying wind field characteristics effects on wind turbines are essential not only for designing, but also for cost-efficiently managing wind, Universitätsstr. 150, 44780 Bochum, GERMANY; email: hartus@inf.bi.rub.de ABSTRACT Site-specific wind field

  17. The MSc Strategic Project Management prepares graduates to be future leaders in project-based

    E-Print Network [OSTI]

    Painter, Kevin

    About The MSc Strategic Project Management prepares graduates to be future leaders in project employment prior to graduation. Programme Structure The MSc Strategic Project Management has a single intake-based environments by developing knowledge and skills in both business strategy and project management

  18. Abstract--This paper presents a comparative stability analysis of conventional synchronous generators and wind farms based on

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    on system stability of replacing conventional generation by DFIG-based wind generation on the IEEE 14-bus the penetration of wind generation is high, it is important to keep these generators on line as much as possible]-[6], different models of DFIG-based wind generator farms are discussed and simulations are performed. The tuning

  19. Proceedings of the 2008 International Conference on Electrical Machines Paper ID 1434 DFIG-Based Wind Turbine Fault Diagnosis

    E-Print Network [OSTI]

    Boyer, Edmond

    -Based Wind Turbine Fault Diagnosis Using a Specific Discrete Wavelet Transform E. Al-Ahmar1,2 , M for electrical and mechanical fault diagnosis in a DFIG-based wind turbine. The investigated technique unambiguously diagnose faults under transient conditions. Index Terms--Wind turbine, Doubly-Fed Induction

  20. DFIG-Based Wind Turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer

    E-Print Network [OSTI]

    Brest, Université de

    DFIG-Based Wind Turbine Robust Control Using High-Order Sliding Modes and a High Gain Observer with the power generation control in variable speed wind turbines. In this context, a control strategy is proposed to ensure power extraction optimization of a DFIG- based wind turbine. The proposed control

  1. Wind power and Wind power and

    E-Print Network [OSTI]

    Wind power and the CDM #12; Wind power and the CDM Emerging practices in developing wind power 2005 Jyoti P. Painuly, Niels-Erik Clausen, Jűrgen Fenhann, Sami Kamel and Romeo Pacudan #12; WIND POWER AND THE CDM Emerging practices in developing wind power projects for the Clean Development Mechanism Energy

  2. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    wind power projects in the United States to date have been installed on land,on developing wind power projects on public lands. State

  3. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    wind power projects in the United States to date have been installed on land,of developing wind power projects on public lands. State

  4. The Great Plains Wind Power Test Facility

    SciTech Connect (OSTI)

    Schroeder, John

    2014-01-31T23:59:59.000Z

    This multi-year, multi-faceted project was focused on the continued development of a nationally-recognized facility for the testing, characterization, and improvement of grid-connected wind turbines, integrated wind-water desalination systems, and related educational and outreach topics. The project involved numerous faculty and graduate students from various engineering departments, as well as others from the departments of Geosciences (in particular the Atmospheric Science Group) and Economics. It was organized through the National Wind Institute (NWI), which serves as an intellectual hub for interdisciplinary and transdisciplinary research, commercialization and education related to wind science, wind energy, wind engineering and wind hazard mitigation at Texas Tech University (TTU). Largely executed by an academic based team, the project resulted in approximately 38 peer-reviewed publications, 99 conference presentations, the development/expansion of several experimental facilities, and two provisional patents.

  5. Hilbert Transform-Based Bearing Failure Detection in DFIG-Based Wind Turbines

    E-Print Network [OSTI]

    Boyer, Edmond

    on turbine downtime has become more acute for offshore wind farms. With the development these wind farms due farms in more remote location (offshore). A well-known method for assessing impeding problems is to use, and a continuous expansion of the wind turbine industry, the profitability of wind farms is increasingly affected

  6. Wind-To-Hydrogen Project: Operational Experience, Performance Testing, and Systems Integration

    SciTech Connect (OSTI)

    Harrison, K. W.; Martin, G. D.; Ramsden, T. G.; Kramer, W. E.; Novachek, F. J.

    2009-03-01T23:59:59.000Z

    The Wind2H2 system is fully functional and continues to gather performance data. In this report, specifications of the Wind2H2 equipment (electrolyzers, compressor, hydrogen storage tanks, and the hydrogen fueled generator) are summarized. System operational experience and lessons learned are discussed. Valuable operational experience is shared through running, testing, daily operations, and troubleshooting the Wind2H2 system and equipment errors are being logged to help evaluate the reliability of the system.

  7. Eastern Wind Integration and Transmission Study: Executive Summary and Project Overview (Revised)

    SciTech Connect (OSTI)

    EnerNex Corporation; The Midwest ISO; Ventyx

    2011-02-01T23:59:59.000Z

    EWITS was designed to answer questions about technical issues related to a 20% wind energy scenario for electric demand in the Eastern Interconnection.

  8. Wind-to-Hydrogen Cost Modeling and Project Findings (Text Version...

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

    of different configurations and different operations scenarios, understand the sizing implications between the electrolyzers and the wind farms throughout different parts...

  9. Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation

    E-Print Network [OSTI]

    Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

    2011-01-01T23:59:59.000Z

    Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproductions. With this paper, we take a computer science perspective on energy prediction based on weather data and analyze the important parameters as well as their correlation on the energy output. To deal with the interaction of the different parameters we use symbolic regression based on the genetic programming tool DataModeler. Our studies are carried out on publicly available weather and energy data for a wind farm in Australia. We reveal the correlation of the different variables for the energy output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly given weather data.

  10. EA-1939: Reese Technology Center Wind and Battery Integration Project, Lubbock County, TX

    Broader source: Energy.gov [DOE]

    This EA will evaluate the potential environmental impacts of a proposal by the Center for Commercialization of Electric Technologies to demonstrate battery technology integration with wind generated electricity by deploying and evaluating utility-scale lithium battery technology to improve grid performance and thereby aid in the integration of wind generation into the local electricity supply.

  11. Abstract--In doubly fed induction generator (DFIG) based wind energy conversion systems (WECS), the DFIG is interfaced to the

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Abstract--In doubly fed induction generator (DFIG) based wind energy conversion systems (WECS of wind energy is growing rapidly and it is expected to provide ten percent of the global electricity a popular candidate in the wind energy conversion systems (WECS) due to its advantages [2-5]. When compared

  12. Sensorless Control of Doubly-Fed Induction Generator-Based Wind urbines using a High-Order Sliding Mode Observer

    E-Print Network [OSTI]

    Brest, Université de

    ­ This paper deals with the sensorless control of a doubly-fed induction generator based wind turbine reaching time, robustness and unmodeled dynamics (generator and turbine). Simulations using the wind of the proposed sensorless control strategy. Keywords: Wind turbine, doubly-fed induction generator, sensorless

  13. KALMAN-FILTER BASED DATA FUSION FOR NEUTRALAXIS TRACKING FOR DAMAGE DETECTION IN WIND-TURBINE TOWERS

    E-Print Network [OSTI]

    Boyer, Edmond

    KALMAN-FILTER BASED DATA FUSION FOR NEUTRALAXIS TRACKING FOR DAMAGE DETECTION IN WIND-TURBINE Monitoring, Strain Sensors, Wind Turbine, Neutral Axis tracking, Kalman Filter INTRODUCTION Ever since to the advancements in the field of materials engineering and manufacturing methods. Newer, bigger wind turbines which

  14. On Assessing the Accuracy of Offshore Wind Turbine Reliability-Based Design Loads from the Environmental Contour Method

    E-Print Network [OSTI]

    Manuel, Lance

    On Assessing the Accuracy of Offshore Wind Turbine Reliability-Based Design Loads from to derive design loads for an active stall-regulated offshore wind turbine. Two different Danish offshore contour method; wind turbine; offshore; reliability. INTRODUCTION Inverse reliability techniques

  15. A Predictive Maintenance Policy Based on the Blade of Offshore Wind Wenjin Zhu, Troyes University of Technology

    E-Print Network [OSTI]

    McCalley, James D.

    A Predictive Maintenance Policy Based on the Blade of Offshore Wind Turbine Wenjin Zhu, Troyes onshore to offshore locations [1]. As offshore wind turbines are located at remote sites withlimited]. Operation and maintenance (O&M) costs of off-shore wind turbines contribute about 25-30% to the total energy

  16. Looking for project-based learning ...

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

    and Renewable Energy (EERE) has the following featured lesson plans, labs, projects, videos and other activities for grades K-12 on energy-related topics. Download or order...

  17. Wind Farm Monitoring at Lake Benton II Wind Power Project - Equipment Only: Cooperative Research and Development Final Report, CRADA Number CRD-08-275

    SciTech Connect (OSTI)

    Gevorgian, V.

    2014-06-01T23:59:59.000Z

    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 nature of wind power. These data are used for many research and analyses activities consistent with the Wind Program mission: Establish a database of long-term wind power similar to other long-term renewable energy resource databases (e.g. solar irradiance and hydrology); produce meaningful statistics about long-term variation of wind power, spatial and temporal diversity of wind power, and the correlation of wind power, other renewable energy resources, and utility load; provide high quality, realistic wind power output data for system operations impact studies and wind plant and forecasting model validation.

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    2002) Economic Impacts of Wind Power in Kittitas County, WA.about Large Offshore Wind Power: Underlying Factors. EnergyOpinion on Offshore Wind Power - Interim Report. University

  19. 2008 WIND TECHNOLOGIES MARKET REPORT

    SciTech Connect (OSTI)

    Wiser, Ryan H.; Bolinger, Mark; Barbose, G.; Mills, A.; Rosa, A.; Porter, K.; Fink, S.; Tegen, S.; Musial, W.; Oteri, F.; Heimiller, D.; Rberts, B.; Belyeu, K.; Stimmel, R.

    2009-07-15T23:59:59.000Z

    The U.S. wind industry experienced a banner year in 2008, again surpassing even optimistic growth projections from years past. At the same time, the last year has been one of upheaval, with the global financial crisis impacting near-term growth prospects for the wind industry, and with federal policy changes enacted to push the industry towards continued aggressive expansion. This rapid pace of development has made it difficult to keep up with trends in the marketplace. Yet, the need for timely, objective information on the industry and its progress has never been greater. This report - the third of an ongoing annual series - attempts to meet this need by providing a detailed overview of developments and trends in the U.S. wind power market, with a particular focus on 2008. As with previous editions, this report begins with an overview of key wind power installation-related trends: trends in wind capacity growth in the U.S., how that growth compares to other countries and generation sources, the amount and percentage of wind in individual states and serving specific utilities, and the quantity of proposed wind capacity in various interconnection queues in the United States. Next, the report covers an array of wind industry trends, including developments in turbine manufacturer market share, manufacturing and supply-chain investments, wind turbine and wind project size, project financing developments, and trends among wind power developers, project owners, and power purchasers. The report then turns to a discussion of wind project price, cost, and performance trends. In so doing, it reviews the price of wind power in the United States, and how those prices compare to the cost of fossil-fueled generation, as represented by wholesale power prices. It also describes trends in installed wind project costs, wind turbine transaction prices, project performance, and operations and maintenance expenses. Next, the report examines other policy and market factors impacting the domestic wind power market, including federal and state policy drivers, transmission issues, and grid integration. Finally, the report concludes with a preview of possible near- to medium-term market developments. This version of the Annual Report updates data presented in the previous editions, while highlighting key trends and important new developments from 2008. New to this edition is an executive summary of the report and an expanded final section on near- to medium-term market development. The report concentrates on larger-scale wind applications, defined here as individual turbines or projects that exceed 50 kW in size. The U.S. wind power sector is multifaceted, however, and also includes smaller, customer-sited wind turbines used to power the needs of residences, farms, and businesses. Data on these applications are not the focus of this report, though a brief discussion on Distributed Wind Power is provided on page 4. Much of the data included in this report were compiled by Berkeley Lab, and come from a variety of sources, including the American Wind Energy Association (AWEA), the Energy Information Administration (EIA), and the Federal Energy Regulatory Commission (FERC). The Appendix provides a summary of the many data sources used in the report. Data on 2008 wind capacity additions in the United States are based on information provided by AWEA; some minor adjustments to those data may be expected. In other cases, the data shown here represent only a sample of actual wind projects installed in the United States; furthermore, the data vary in quality. As such, emphasis should be placed on overall trends, rather than on individual data points. Finally, each section of this document focuses on historical market information, with an emphasis on 2008; with the exception of the final section, the report does not seek to forecast future trends.

  20. Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint

    SciTech Connect (OSTI)

    Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.

    2013-05-01T23:59:59.000Z

    The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.

  1. Wind Energy Learning Curves for Reference in Expert Elicitations

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Wind Energy Learning Curves for Reference in Expert Elicitations Sarah Mangels, Erin Baker. Abstract: This study presents future projections of wind energy capacity and cost based on historical data. The study will be used during wind- energy expert elicitations (formal interviews aimed to quantify

  2. Proceedings from the Wind Manufacturing Workshop: Achieving 20...

    Energy Savers [EERE]

    Technology Summary Slides Testing, Manufacturing, and Component Development Projects Offshore Wind Projects Wind Program Home About the Program Research & Development...

  3. Wind Energy Finance (WEF): An Online Calculator for Economic Analysis of Wind Projects (Double-Gatefold Brochure)

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot Project Results TheHow

  4. Live Webinar on the Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain

    Broader source: Energy.gov [DOE]

    On April 21, 2014 from 3:00 to 5:00 PM EST the Wind Program will hold a live webinar to provide information to potential applicants for this Funding Opportunity Announcement. There is no cost to...

  5. Community Wind Benefits (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-11-01T23:59:59.000Z

    This fact sheet explores the benefits of community wind projects, including citations to published research.

  6. Revealing the Hidden Value that the Federal Investment Tax Credit and Treasury Cash Grant Provide To Community Wind Projects

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    it realize the full potential of wind’s temporary ability tobase, community wind has the potential to tap into aof community wind belies its potential significance to the

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    Offshore Wind Power: Underlying Factors. Energy Policy. 35(Wind Development on Local Property Values. Renewable Energy Policy

  8. Sandia Energy - Continuous Reliability Enhancement for Wind ...

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

    Enhancement for Wind (CREW): Project Update Home Renewable Energy Energy News Wind Energy News & Events Systems Analysis Continuous Reliability Enhancement for Wind (CREW):...

  9. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    49 Figure 5. Installed Wind Project Costs Over Time Capacitynot represent the true cost of wind generation (which wouldinstalled project costs on wind power prices. Specifically,

  10. Accelerating Offshore Wind Development

    Broader source: Energy.gov [DOE]

    Today the Energy Department announced investments in seven offshore wind demonstration projects. Check out our map to see where these projects will be located.

  11. Job and Economic Development Impact (JEDI) Model: A User-Friendly Tool to Calculate Economic Impacts from Wind Projects; Preprint

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot ProjectWindJEDIJob and

  12. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

    Office of Environmental Management (EM)

    a new vision for wind energy through 2050. Taking into account all facets of wind energy (land-based, offshore, distributed), the new Wind Vision Report defines the...

  13. IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 1, MARCH 2013 509 Optimized Control of DFIG-Based Wind

    E-Print Network [OSTI]

    He, Haibo

    of doubly-fed induction generators (DFIG) based wind generation. Instead of optimizing all the controlIEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 1, MARCH 2013 509 Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm Optimization Yufei Tang, Ping Ju, Senior Member

  14. Flying Drosophila stabilize their vision-based velocity controller by sensing wind with their antennae

    E-Print Network [OSTI]

    Fuller, Sawyer Buckminster

    in flight control is unknown. We manipulated the antennal function of fruit flies by ablating their aristae regulator by fitting parameters of candidate models to our exper- imental data. The model suggestsFlying Drosophila stabilize their vision-based velocity controller by sensing wind

  15. A Comparison of Wind Turbine Load Statistics for Inflow Turbulence Fields based on Conventional

    E-Print Network [OSTI]

    Manuel, Lance

    A Comparison of Wind Turbine Load Statistics for Inflow Turbulence Fields based on Conventional turbine load statistics for design. There are not many published studies that have addressed the issue of such optimal space-time resolution. This study in- vestigates turbine extreme and fatigue load statistics

  16. FEASIBILITY OF WIND TO SERVE UPPER SKAGIT'S BOW HILL TRIBAL LANDS AND FEASIBILITY UPDATE FOR RESIDENTIAL RENEWABLE ENERGY.

    SciTech Connect (OSTI)

    RICH, LAUREN

    2013-09-30T23:59:59.000Z

    A two year wind resource assessment was conducted to determine the feasibility of developing a community scale wind generation system for the Upper Skagit Indian Tribe?s Bow Hill land base, and the project researched residential wind resource technologies to determine the feasibility of contributing renewable wind resource to the mix of energy options for our single and multi-family residential units.

  17. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    do not represent wind energy generation costs. Based on thisproduction-cost reduction value of wind energy, without anwith wind energy. Generally, these costs are associated with

  18. The ‘Business’ of Engaging Communities: Unpacking ‘Process’ and ‘Outcome’ as Dimensions of Community Wind Energy Projects 

    E-Print Network [OSTI]

    Macdonald, Catriona

    2014-11-27T23:59:59.000Z

    In recent years, Scotland has seen an increased number of wind energy developments as a result of the Scottish Government’s strategy to achieve its renewable energy target by 2020. This has meant that there has been a rise in the number of local...

  19. 29-11-061ETSAP Wind power in the EC RES2020 project

    E-Print Network [OSTI]

    and few data · Two coal plants, import of coal · Investment every year, plant lifetime: one year · No time capacities · Plant lifetime · Time slices, e.g. as NEEDS-TIMES · Wind competing with coal or gas · Test results Fuelcoal Electricity Coal import Coal plant 2 Coal plant 1 Coal Coal Mining of coal Mining region

  20. EA-1809: White Earth Nation Wind Energy Project II, Becker and Mahnomen Counties, MN

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts of a proposal to provide Congressionally Directed funds to the White Earth Nation to purchase and install up to four small mid-sized wind turbines at two sites near the towns of Waubun and Naytahwaush on the White Earth Reservation in Mahnomen County in western Minnesota .

  1. Obtaining data for wind farm development and management: the EO-WINDFARM project

    E-Print Network [OSTI]

    providers, wind energy market players and end-users such as electricity companies. It is supported by the European Space Agency within the Earth Observation Market Development program. The set of data comprises production should then increase from 6 % to 12 % in 2010. While Europe is not rich in oil, gas and coal

  2. 2010 oil spill: trajectory projections based on ensemble drifter analyses

    E-Print Network [OSTI]

    2010 oil spill: trajectory projections based on ensemble drifter analyses Yu-Lin Chang & Leo Oey # Springer-Verlag 2011 Abstract An accurate method for long-term (weeks to months) projections of oil spill released at the northern Gulf of Mexico spill site is demonstrated during the 2010 oil spill

  3. Parallel Formulations of Tree-Projection-Based Sequence Mining Algorithm

    E-Print Network [OSTI]

    Karypis, George

    , database projection algorithms, data mining, parallel processing This work was supported by NSF CCR-9972519 Institute. 1 #12;1 Introduction In recent years there has been an increased interest in using data miningParallel Formulations of Tree-Projection-Based Sequence Mining Algorithm Valerie Guralnik

  4. Real-time solar wind prediction based on SDO/AIA coronal hole data

    E-Print Network [OSTI]

    Rotter, T; Temmer, M; Vrsnak, B

    2015-01-01T23:59:59.000Z

    We present an empirical model based on the visible area covered by coronal holes close to the central meridian in order to predict the solar wind speed at 1 AU with a lead time up to four days in advance with a 1hr time resolution. Linear prediction functions are used to relate coronal hole areas to solar wind speed. The function parameters are automatically adapted by using the information from the previous 3 Carrington Rotations. Thus the algorithm automatically reacts on the changes of the solar wind speed during different phases of the solar cycle. The adaptive algorithm has been applied to and tested on SDO/AIA-193A observations and ACE measurements during the years 2011-2013, covering 41 Carrington Rotations. The solar wind speed arrival time is delayed and needs on average 4.02 +/- 0.5 days to reach Earth. The algorithm produces good predictions for the 156 solar wind high speed streams peak amplitudes with correlation coefficients of cc~0.60. For 80% of the peaks, the predicted arrival matches within ...

  5. Kahuku Wind Power (First Wind) | Department of Energy

    Office of Environmental Management (EM)

    The project employs the integration of Clipper LibertyTM wind turbine generators and a control system to more efficiently integrate wind power with the utility's power grid....

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

    Energy Savers [EERE]

    Wind Energy's Contribution to U.S. Electricity Supply Testing, Manufacturing, and Component Development Projects U.S. Offshore Wind Manufacturing and Supply Chain Development...

  7. An Innovative Technique for Evaluating the Integrity and Durability of Wind Turbine Blade Composites - Final Project Report

    SciTech Connect (OSTI)

    Wang, Jy-An John [ORNL; Ren, Fei [ORNL; Tan, Ting [ORNL; Mandell, John [Montana State University; Agastra, Pancasatya [Montana State University

    2011-11-01T23:59:59.000Z

    To build increasingly larger, lightweight, and robust wind turbine blades for improved power output and cost efficiency, durability of the blade, largely resulting from its structural composites selection and aerodynamic shape design, is of paramount concern. The safe/reliable operation of structural components depends critically on the selection of materials that are resistant to damage and failure in the expected service environment. An effective surveillance program is also necessary to monitor the degradation of the materials in the course of service. Composite materials having high specific strength/stiffness are desirable for the construction of wind turbines. However, most high-strength materials tend to exhibit low fracture toughness. That is why the fracture toughness of the composite materials under consideration for the manufacture of the next generation of wind turbines deserves special attention. In order to achieve the above we have proposed to develop an innovative technology, based on spiral notch torsion test (SNTT) methodology, to effectively investigate the material performance of turbine blade composites. SNTT approach was successfully demonstrated and extended to both epoxy and glass fiber composite materials for wind turbine blades during the performance period. In addition to typical Mode I failure mechanism, the mixed-mode failure mechanism induced by the wind turbine service environments and/or the material mismatch of the composite materials was also effectively investigated using SNTT approach. The SNTT results indicate that the proposed protocol not only provides significant advance in understanding the composite failure mechanism, but also can be readily utilized to assist the development of new turbine blade composites.

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    2002) Economic Impacts of Wind Power in Kittitas County, WA.Beck, D. (2004) How Hull Wind "I" Impacted Property Valuesof Visual Impact: The Case of Wind Turbines. Environment and

  9. Revealing the Hidden Value that the Federal Investment Tax Credit and Treasury Cash Grant Provide To Community Wind Projects

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2011-01-01T23:59:59.000Z

    Mark Bolinger. 2009. 2008 Wind Technologies Market Report.EA/EMP/reports/2008-wind- technologies.pdf Wiser, Ryan, MarkBuild a Durable Market for Wind Power in the United States”

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    Towards the Development of Wind Farms in Australia. JournalEconomic Analysis of a Wind Farm in Nantucket Sound. BeaconProposed Rail Splitter Wind Farm. Prepared for Hinshaw &

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

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    show that acceptance towards wind energy is high, a varietyshow that public acceptance towards wind energy is high, apublic acceptance is high in general for wind energy (e.g. ,

  12. EA-2004: Seneca Nation of Indians Wind Turbine Project, Cattaraugus Territory, Chautauqua County, Irving, New York

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) is proposing to authorize the expenditure of federal funding to the Seneca Nation of Indians, to design, permit, and construct a 1.7-megawatt wind turbine on Tribal common lands in the Cattaraugus Territory, New York. The turbine would be located near Lucky Lane and Gil Lay Arena. An Environmental Assessment (EA) will be prepared by DOE pursuant to the requirements of the National Environmental Policy Act (NEPA).

  13. What is Wind Chill Temperature? It is the temperature it "feels like" outside and is based on the rate of heat loss

    E-Print Network [OSTI]

    What is Wind Chill Temperature? It is the temperature it "feels like" outside and is based on the rate of heat loss from exposed skin caused by the effects of wind and cold. As the wind increases, the body is cooled at a faster rate causing the skin temperature to drop. Wind Chill does not impact

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

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30T23:59:59.000Z

    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.

  15. Growing a Wind Workforce: The National Wind Energy Skills Assessment Report (Poster)

    SciTech Connect (OSTI)

    Tegen, S.

    2014-05-01T23:59:59.000Z

    This poster summarizes results from the first published investigation into the detailed makeup of the wind energy workforce as well as a glance at the educational infrastructure and training needs of the wind industry. Insights from this research into the domestic wind workforce allow the private sector, educational institutions, and federal and state governments to make better informed workforce-related decisions based on the current data and future projections.

  16. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest

    SciTech Connect (OSTI)

    Wiser, Ryan H; Wiser, Ryan H; Fripp, Matthias

    2008-05-01T23:59:59.000Z

    Wind power production is variable, but also has diurnal and seasonal patterns. These patterns differ between sites, potentially making electric power from some wind sites more valuable for meeting customer loads or selling in wholesale power markets. This paper investigates whether the timing of wind significantly affects the value of electricity from sites in California and the Northwestern United States. We use both measured and modeled wind data and estimate the time-varying value of wind power with both financial and load-based metrics. We find that the potential difference in wholesale market value between better-correlated and poorly correlated wind sites is modest, on the order of 5-10 percent. A load-based metric, power production during the top 10 percent of peak load hours, varies more strongly between sites, suggesting that the capacity value of different wind projects could vary by as much as 50 percent based on the timing of wind alone.

  17. Simplified life cycle approach: GHG variability assessment for onshore wind electricity based on Monte-Carlo simulations

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    in the literature. In the special case of greenhouses gases (GHG) from wind power electricity, the LCA resultsSimplified life cycle approach: GHG variability assessment for onshore wind electricity based performed by the IPCC [1]. Such result might lead policy makers to consider LCA as an inconclusive method [2

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

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

    step toward issuing a 150 million loan guarantee to support the construction of the Cape Wind offshore wind project with a conditional commitment to Cape Wind Associates, LLC. The...

  19. Master's thesis: "Wind speed measurements in an offshore wind farm by remote sensing: Comparison of radar satellite TerraSAR-X and ground-based

    E-Print Network [OSTI]

    Peinke, Joachim

    Master's thesis: "Wind speed measurements in an offshore wind farm by remote sensing: Comparison of the Offshore wind farm alpha ventus with 12 wind turbines, substation and met mast Fino1. Southerly winds cause (wake) caused by wind farms and especially for the interaction of large offshore wind farms, which can

  20. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations – the Northern Study Area.

    SciTech Connect (OSTI)

    Finley, Cathy [WindLogics

    2014-04-30T23:59:59.000Z

    This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

  1. Proposed Contribution, 15th ASME Wind Energy Symposium, Houston, Texas, Jan. 28--Feb. 2, 1996

    E-Print Network [OSTI]

    Sweetman, Bert

    , probability­based design codes (e.g., API, 1993). This paper combines several novel approaches to the blade­projects within the 1994--1995 European Wind Turbine Standards (EWTS) project. We seek here both to demonstrate

  2. Appendix I3-1 to Wind HUI Initiative 1: AWST-WindNET-Phase 1 Final Report

    SciTech Connect (OSTI)

    John Zack

    2012-07-15T23:59:59.000Z

    This report is an appendix to the Hawaii WindHUI efforts to develop and operationalize short-term wind forecasting and wind ramp event forecasting capabilities. The report summarizes the WindNET Phase 1 efforts on the Big Island of Hawaii and includes descriptions of modeling methodologies, use of field validation data, results and recommendations. The objective of the WindNET project was to investigate the improvement that could be obtained in short-term wind power forecasting for wind generation facilities operating on the island grids operated by Hawaiian Electric Companies through the use of atmospheric sensors deployed at targeted locations. WindNET is envisioned as a multiphase project that will address the short-term wind forecasting issues of all of the wind generation facilities on the all of the Hawaiian Electric Companies' island grid systems. The first phase of the WindNET effort (referred to as WindNET-1) was focused on the wind generation facilities on the Big Island of Hawaii. With complex terrain and marine environment, emphasis was on improving the 0 to 6 hour forecasts of wind power ramps and periods of wind variability, with a particular interest in the intra-hour (0-1 hour) look-ahead period. The WindNET project was built upon a foundation that was constructed with the results from a previously completed observation targeting study for the Big Island that was conducted as part of a project supported by the National Renewable Energy Laboratory (NREL) and interactions with the western utilities. The observational targeting study provided guidance on which variables to measure and at what locations to get the most improvement in forecast performance at a target forecast site. The recommendations of the observation targeting study were based on the application two techniques: (1) an objective method called ensemble sensitivity analysis (ESA) (Ancell and Hakim, 2007; Torn and Hakim, 2008; Zack et al, 2010); and (2) a subjective method based on a diagnostic analysis of large ramp events. The analysis was completed for both the wind farm on the southern tip of the Big Island and on the northern tip of the island. The WindNET project was designed to also deploy sensors to validate the Big Island observational targeting study and enhance operator's understanding of predominate causes of wind variability conditions at the wind facilities. Compromises had to be made with the results from the observation targeting study to accommodate project resource limitations, availability of suitable sites, and other factors. To focus efforts, field sensor deployment activities focused on the wind facility on the southern point of Big Island.

  3. See the Wind

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

    See the Wind Grades: 5-8 , 9-12 Topic: Wind Energy Owner: Kidwind Project This educational material is brought to you by the U.S. Department of Energy's Office of Energy Efficiency...

  4. Microprocessor-based monitoring and control project: Phase 2 report

    SciTech Connect (OSTI)

    Not Available

    1986-09-01T23:59:59.000Z

    This report summarizes the activities of Phase II of the microprocessor-based monitoring and control project. The object of this multiphase project in the Electrical Systems Group of TVA's Division of Energy Demonstration and Technology (ED and T) is the development of microprocessor-based systems for special-purpose applications in monitoring, control, and protection of the power system. Phase II dealt with the hardware enhancements and software development to simulate the switching of the 46-kV capacitor banks at the Concord substation for voltage and VAR control.

  5. ADVANCED COMPOSITE WIND TURBINE BLADE DESIGN BASED ON DURABILITY AND DAMAGE TOLERANCE

    SciTech Connect (OSTI)

    Galib Abumeri; Frank Abdi (PhD)

    2012-02-16T23:59:59.000Z

    The objective of the program was to demonstrate and verify Certification-by-Analysis (CBA) capability for wind turbine blades made from advanced lightweight composite materials. The approach integrated durability and damage tolerance analysis with robust design and virtual testing capabilities to deliver superior, durable, low weight, low cost, long life, and reliable wind blade design. The GENOA durability and life prediction software suite was be used as the primary simulation tool. First, a micromechanics-based computational approach was used to assess the durability of composite laminates with ply drop features commonly used in wind turbine applications. Ply drops occur in composite joints and closures of wind turbine blades to reduce skin thicknesses along the blade span. They increase localized stress concentration, which may cause premature delamination failure in composite and reduced fatigue service life. Durability and damage tolerance (D&DT) were evaluated utilizing a multi-scale micro-macro progressive failure analysis (PFA) technique. PFA is finite element based and is capable of detecting all stages of material damage including initiation and propagation of delamination. It assesses multiple failure criteria and includes the effects of manufacturing anomalies (i.e., void, fiber waviness). Two different approaches have been used within PFA. The first approach is Virtual Crack Closure Technique (VCCT) PFA while the second one is strength-based. Constituent stiffness and strength properties for glass and carbon based material systems were reverse engineered for use in D&DT evaluation of coupons with ply drops under static loading. Lamina and laminate properties calculated using manufacturing and composite architecture details matched closely published test data. Similarly, resin properties were determined for fatigue life calculation. The simulation not only reproduced static strength and fatigue life as observed in the test, it also showed composite damage and fracture modes that resemble those reported in the tests. The results show that computational simulation can be relied on to enhance the design of tapered composite structures such as the ones used in turbine wind blades. A computational simulation for durability, damage tolerance (D&DT) and reliability of composite wind turbine blade structures in presence of uncertainties in material properties was performed. A composite turbine blade was first assessed with finite element based multi-scale progressive failure analysis to determine failure modes and locations as well as the fracture load. D&DT analyses were then validated with static test performed at Sandia National Laboratories. The work was followed by detailed weight analysis to identify contribution of various materials to the overall weight of the blade. The methodology ensured that certain types of failure modes, such as delamination progression, are contained to reduce risk to the structure. Probabilistic analysis indicated that composite shear strength has a great influence on the blade ultimate load under static loading. Weight was reduced by 12% with robust design without loss in reliability or D&DT. Structural benefits obtained with the use of enhanced matrix properties through nanoparticles infusion were also assessed. Thin unidirectional fiberglass layers enriched with silica nanoparticles were applied to the outer surfaces of a wind blade to improve its overall structural performance and durability. The wind blade was a 9-meter prototype structure manufactured and tested subject to three saddle static loading at Sandia National Laboratory (SNL). The blade manufacturing did not include the use of any nano-material. With silica nanoparticles in glass composite applied to the exterior surfaces of the blade, the durability and damage tolerance (D&DT) results from multi-scale PFA showed an increase in ultimate load of the blade by 9.2% as compared to baseline structural performance (without nano). The use of nanoparticles lead to a delay in the onset of delamination. Load-displacement relati

  6. Improved Performance of an Air Cooled Condenser (ACC) Using SPX Wind Guide Technology at Coal-Based Thermoelectric Power Plants

    SciTech Connect (OSTI)

    Ken Mortensen

    2010-12-31T23:59:59.000Z

    This project added a new airflow enhancement technology to an existing ACC cooling process at a selected coal power plant. Airflow parameters and efficiency improvement for the main plant cooling process using the applied technology were determined and compared with the capabilities of existing systems. The project required significant planning and pre-test execution in order to reach the required Air Cooled Condenser system configuration for evaluation. A host Power Plant ACC system had to be identified, agreement finalized, and addition of the SPX ACC Wind Guide Technology completed on that site. Design of the modification, along with procurement, fabrication, instrumentation, and installation of the new airflow enhancement technology were executed. Baseline and post-modification cooling system data was collected and evaluated. The improvement of ACC thermal performance after SPX wind guide installation was clear. Testing of the improvement indicates there is a 5% improvement in heat transfer coefficient in high wind conditions and 1% improvement at low wind speed. The benefit increased with increasing wind speed. This project was completed on schedule and within budget.

  7. Structural Safety and Reliability, Corotis et al. (eds), 2001 Swets & Zeitlinger, ISBN 90 5809 197 X Moment-based fatigue load models for wind energy systems

    E-Print Network [OSTI]

    Manuel, Lance

    197 X 1 Moment-based fatigue load models for wind energy systems Steven R. Winterstein & LeRoy M. Veers Sandia National Laboratories, Wind Energy Technology Department, Albuquerque, NM 87185-0708 Keywords: load models, fatigue loads, wind energy, non-Gaussian, moment-based models, long- term, short

  8. Low-Maintenance Wind Power System

    E-Print Network [OSTI]

    Rasson, Joseph E

    2010-01-01T23:59:59.000Z

    with widespread adoption of wind energy. The project hasProject: Low-Maintenance Wind Power System Summary of theImproved Vertical Axis Wind Turbine and Aerodynamic Control

  9. Wind Energy and Spatial Technology

    E-Print Network [OSTI]

    Schweik, Charles M.

    2/3/2011 1 Wind Energy and Spatial Technology Lori Pelech Why Wind Energy? A clean, renewable 2,600 tons of carbon emissions annually ­ The economy · Approximately 85,000 wind energy workers to Construct a Wind Farm... Geo-Spatial Components of Wind Farm Development Process Selecting a Project Site

  10. Hour-by-Hour Cost Modeling of Optimized Central Wind-Based Water...

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

    Hydrogen Production for Energy Storage & Transportation Liquid Hydrogen Production and Delivery from a Dedicated Wind Power Plant Final Solar and Wind H2 Report EPAct 812.doc...

  11. Project-based assessment for graduate coursework in physics

    E-Print Network [OSTI]

    Nieminen, T A

    2007-01-01T23:59:59.000Z

    Project-based assessment, in the form of take-home exams, was trialed in an honours/masters level electromagnetic theory course. This assessment formed an integral part of the learning experience of the students, and students felt that this was effective method of learning.

  12. Projected Impact of Federal Policies on U.S. Wind Market Potential: Preprint

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70 Hg MercuryProjectExclusionUeterminatton

  13. Lower Brule Sioux Tribe Wind-Pump Storage Feasibility Study Project

    SciTech Connect (OSTI)

    Shawn A. LaRoche; Tracey LeBeau; Innovation Investments, LLC

    2007-04-20T23:59:59.000Z

    The Lower Brule Sioux Tribe is a federally recognized Indian tribe organized pursuant to the 1934 Wheeler-Howard Act (“Indian Reorganization Act”). The Lower Brule Sioux Indian Reservation lies along the west bank of Lake Francis Case and Lake Sharpe, which were created by the Fort Randall and Big Bend dams of the Missouri River pursuant to the Pick Sloan Act. The grid accessible at the Big Bend Dam facility operated by the U.S. Army Corps of Engineers is less than one mile of the wind farm contemplated by the Tribe in this response. The low-head hydroelectric turbines further being studied would be placed below the dam and would be turned by the water released from the dam itself. The riverbed at this place is within the exterior boundaries of the reservation. The low-head turbines in the tailrace would be evaluated to determine if enough renewable energy could be developed to pump water to a reservoir 500 feet above the river.

  14. Wind Generation on Winnebago Tribal Lands

    SciTech Connect (OSTI)

    Multiple

    2009-09-30T23:59:59.000Z

    The Winnebago Wind Energy Study evaluated facility-scale, community-scale and commercial-scale wind development on Winnebago Tribal lands in northeastern Nebraska. The Winnebago Tribe of Nebraska has been pursuing wind development in various forms for nearly ten years. Wind monitoring utilizing loaned met towers from NREL took place during two different periods. From April 2001 to April 2002, a 20-meter met tower monitored wind data at the WinnaVegas Casino on the far eastern edge of the Winnebago reservation in Iowa. In late 2006, a 50-meter tower was installed, and subsequently monitored wind data at the WinnaVegas site from late 2006 through late 2008. Significant challenges with the NREL wind monitoring equipment limited the availability of valid data, but based on the available data, average wind speeds between 13.6 – 14.3 miles were indicated, reflecting a 2+/3- wind class. Based on the anticipated cost of energy produced by a WinnaVegas wind turbine, and the utility policies and rates in place at this time, a WinnaVegas wind project did not appear to make economic sense. However, if substantial grant funding were available for energy equipment at the casino site, and if either Woodbury REC backup rates were lower, or NIPCO was willing to pay more for wind power, a WinnaVegas wind project could be feasible. With funding remaining in the DOE-funded project budget,a number of other possible wind project locations on the Winnebago reservation were considered. in early 2009, a NPPD-owned met tower was installed at a site identified in the study pursuant to a verbal agreement with NPPD which provided for power from any ultimately developed project on the Western Winnebago site to be sold to NPPD. Results from the first seven months of wind monitoring at the Western Winnebago site were as expected at just over 7 meters per second at 50-meter tower height, reflecting Class 4 wind speeds, adequate for commercial development. If wind data collected in the remaining months of the twelve-month collection period is consistent with that collected in the first seven months, the Western Winnebago site may present an interesting opportunity for Winnebago. Given the distance to nearby substations, and high cost of interconnection at higher voltage transmission lines, Winnebago would likely need to be part of a larger project in order to reduce power costs to more attractive levels. Another alternative would be to pursue grant funding for a portion of development or equipment costs, which would also help reduce the cost of power produced. The NREL tower from the WinnaVegas site was taken down in late 2008, re-instrumented and installation attempted on the Thunderway site south of the Winnebago community. Based on projected wind speeds, current equipment costs, and the project’s proximity to substations for possible interconnection, a Thunderway community-scale wind project could also be feasible.

  15. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Wind Report, Actual Installations, Projected Growth As with other forms of energy development, a variety of concerns about public acceptance

  16. Map: Projected Growth of the Wind Industry From Now Until 2050 | Department

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial602 1,39732onMake Your Next Road Trip Fuel EfficientManhattan Project

  17. WIND TURBINE STRUCTURAL HEALTH MONITORING: A SHORT INVESTIGATION BASED ON SCADA DATA

    E-Print Network [OSTI]

    Boyer, Edmond

    .papatheou@sheffield.ac.uk ABSTRACT The use of offshore wind farms has been growing in recent years, as steadier and higher wind to complicate the construction of land wind farms, offshore locations, which can be found more easily near densely populated areas, can be seen as an attrac- tive choice. However, the cost of an offshore wind farm

  18. Development of Eastern Regional Wind Resource and Wind Plant Output Datasets: March 3, 2008 -- March 31, 2010

    SciTech Connect (OSTI)

    Brower, M.

    2009-12-01T23:59:59.000Z

    The objective of this project was to provide wind resource inputs to the Eastern Wind Integration and Transmission Study.

  19. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    end of 2007 Projected Wind Generation as %of Electricityand costs on wind generation that other generation sourcesconsidered, over 600 GW of wind generation potential still

  20. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and Performanceaccess the nation's lowest-cost wind resources can be builtpressure on installed wind project costs while the industry

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

    Energy Savers [EERE]

    research and development efforts. eerewindwater.pdf More Documents & Publications Wind Program Accomplishments Offshore Wind Projects Wind Program FY 2015 Budget...

  2. WP2 IEA Wind Task 26:The Past and Future Cost of Wind Energy

    E-Print Network [OSTI]

    Lantz, Eric

    2014-01-01T23:59:59.000Z

    Bolinger, M. ( 2011). 2010 Wind Technologies Market Report.Cost of Energy From U.S. Wind Power Projects. Presentationand Energy Capture at Low Wind Speed Sites. ” European Wind

  3. Wind | Department of Energy

    Office of Environmental Management (EM)

    in the world. To stay competitive in this sector, the Energy Department invests in wind projects, both on land and offshore, to advance technology innovations, create job...

  4. Wind Fins: Novel Lower-Cost Wind Power System

    SciTech Connect (OSTI)

    David C. Morris; Dr. Will D. Swearingen

    2007-10-08T23:59:59.000Z

    This project evaluated the technical feasibility of converting energy from the wind with a novel “wind fin” approach. This patent-pending technology has three major components: (1) a mast, (2) a vertical, hinged wind structure or fin, and (3) a power takeoff system. The wing structure responds to the wind with an oscillating motion, generating power. The overall project goal was to determine the basic technical feasibility of the wind fin technology. Specific objectives were the following: (1) to determine the wind energy-conversion performance of the wind fin and the degree to which its performance could be enhanced through basic design improvements; (2) to determine how best to design the wind fin system to survive extreme winds; (3) to determine the cost-effectiveness of the best wind fin designs compared to state-of-the-art wind turbines; and (4) to develop conclusions about the overall technical feasibility of the wind fin system. Project work involved extensive computer modeling, wind-tunnel testing with small models, and testing of bench-scale models in a wind tunnel and outdoors in the wind. This project determined that the wind fin approach is technically feasible and likely to be commercially viable. Project results suggest that this new technology has the potential to harvest wind energy at approximately half the system cost of wind turbines in the 10kW range. Overall, the project demonstrated that the wind fin technology has the potential to increase the economic viability of small wind-power generation. In addition, it has the potential to eliminate lethality to birds and bats, overcome public objections to the aesthetics of wind-power machines, and significantly expand wind-power’s contribution to the national energy supply.

  5. Wind Power Across Native America: Opportunities, Challenges, and Status (Poster)

    SciTech Connect (OSTI)

    Jimenez, A.; Gough, R.; Flowers, L.; Taylor, R.

    2009-05-01T23:59:59.000Z

    Wind projects on tribal lands are differennt, and this poster outlines the ways in which these projects differ, a summary of existing and pending Native American Wind Projects (50 kW and larger), and tribal wind opportunities and issues.

  6. The Future of Offshore Wind Energy

    E-Print Network [OSTI]

    Firestone, Jeremy

    1 The Future of Offshore Wind Energy #12;2 #12;3 Offshore Wind Works · Offshore wind parks: 28 in 10 countries · Operational since 1991 · Current installed capacity: 1,250 MW · Offshore wind parks in the waters around Europe #12;4 US Offshore Wind Projects Proposed Atlantic Ocean Gulf of Mexico Cape Wind

  7. Lower Sioux Wind Feasibility & Development

    SciTech Connect (OSTI)

    Minkel, Darin

    2012-04-01T23:59:59.000Z

    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.

  8. Ceramic Technology Project data base: September 1992 summary report

    SciTech Connect (OSTI)

    Keyes, B.L.P.

    1993-06-01T23:59:59.000Z

    Data presented in this report represent an intense effort to improve processing methods, testing methods, and general mechanical properties (rupture modulus, tensile, creep, stress-rupture, dynamic and cyclic fatigue, fracture toughness) of candidate ceramics for use in advanced heat engines. This work was performed by many facilities and represents only a small part of the data generated by the Ceramic Technology Project (CTP) since 1986. Materials discussed include GTE PY6, GN-10, NT-154, NT-164, SN-260, SN-251, SN-252, AY6, silicon nitride combined with rare-earth oxides, Y-TZP, ZTA, NC-433, NT-230, Hexoloy SA, MgO-PSZ-to-MgO-PSZ joints, MgO-PSZ-to-cast iron, and a few whisker/fiber-reinforced ceramics. Information in this report was taken from the project`s semiannual and bimonthly progress reports and from final reports summarizing the results of individual studies. Test results are presented in tabular form and in graphs. All data, including test rig descriptions and material characterizations, are stored in the CTP data base and are available to all project participants on request. The objective of this report is to make available the test results from these studies but not to draw conclusions from those data.

  9. Wind load design methods for ground-based heliostats and parabolic dish collectors

    SciTech Connect (OSTI)

    Peterka, J A; Derickson, R G [Colorado State Univ., Fort Collins, CO (United States). Fluid Dynamics and Diffusion Lab.

    1992-09-01T23:59:59.000Z

    The purpose of this design method is to define wind loads on flat heliostat and parabolic dish collectors in a simplified form. Wind loads are defined for both mean and peak loads accounting for the protective influence of upwind collectors, wind protective fences, or other wind-blockage elements. The method used to define wind loads was to generalize wind load data obtained during tests on model collectors, heliostats or parabolic dishes, placed in a modeled atmospheric wind in a boundary-layer wind-tunnel at Colorado State University. For both heliostats and parabolic dishes, loads are reported for solitary collectors and for collectors as elements of a field. All collectors were solid with negligible porosity; thus the effects of porosity in the collectors is not addressed.

  10. Wind power today

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    This publication highlights initiatives of the US DOE`s Wind Energy Program. 1997 yearly activities are also very briefly summarized. The first article describes a 6-megawatt wind power plant installed in Vermont. Another article summarizes technical advances in wind turbine technology, and describes next-generation utility and small wind turbines in the planning stages. A village power project in Alaska using three 50-kilowatt turbines is described. Very brief summaries of the Federal Wind Energy Program and the National Wind Technology Center are also included in the publication.

  11. Wind Turbine Generator System Duration Test Report for the Gaia-Wind 11 kW Wind Turbine

    SciTech Connect (OSTI)

    Huskey, A.; Bowen, A.; Jager, D.

    2010-09-01T23:59:59.000Z

    This test was conducted as part of the U.S. Department of Energy's (DOE) Independent Testing project. This project was established to help reduce the barriers of wind energy expansion by providing independent testing results for small turbines. In total, five turbines are being tested at the National Renewable Energy Laboratory's (NRELs) National Wind Technology Center (NWTC) as a part of this project. Duration testing is one of up to five tests that may be performed on the turbines, including power performance, safety and function, noise, and power quality tests. The results of the testing will provide the manufacturers with reports that may be used for small wind turbine certification. The test equipment includes a Gaia-Wind 11 kW wind turbine mounted on an 18 m monopole tower. Gaia-Wind Ltd. manufactured the turbine in Denmark, although the company is based in Scotland. The system was installed by the NWTC Site Operations group with guidance and assistance from Gaia-Wind.

  12. Wind Energy Resource Assessment of the Caribbean and Central America

    SciTech Connect (OSTI)

    DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

    1987-04-01T23:59:59.000Z

    A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

  13. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    timeframe. Projected Wind Generation as % of Electricityrepresent the cost of wind generation. Wind Power Price (time-variability of wind generation is often such that its

  14. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    wind power installations in the United States have been located on land,wind power projects in the United States to date have been installed on land,wind power projects built in the United States to date have been sited on land.

  15. Final Project Report for project titled "Fluoroalkylphosphonic-acid-based proton conductors"

    SciTech Connect (OSTI)

    Stephen Creager

    2011-12-08T23:59:59.000Z

    The overall objective of this research was to create new proton-conducting polymer electrolytes for use in energy conversion devices including hydrogen fuel cells that could operate at high temperatures (95-130 C) and under low relative humidity (< 50% RH) conditions. The new polymers were based on the fluoroalkylphosphonic and phosphinic acid (FPA) groups (see illustration below) which offer prospects for rapid proton transport by a proton-hopping mechanism similar to that which operates in phosphoric acid, a well-known proton-transporting electrolyte that is used in a class of hydrogen fuel cells that work well under the conditions noted above and are already commercially successful. The two specific project objectives were as follows: (1) synthesize and characterize new proton-conducting electrolytes based on the fluoroalkylphosphonic and phosphinic acid (FPA) functional groups; and (2) create and apply new computer models to study protonic conduction in FPA-based electrolytes. The project was successful in creating the desired polymer electrolytes and also a series of molecular model compounds which were used to study proton transport in FPA electrolytes in general. Computer models were created to study both structure and proton-transport dynamics in the electrolytes, particularly the molecular model compounds. Rapid proton transport by a hopping mechanism was found in many of the model compounds and correlations with transport rates with molecular structure were identified. Several polymeric analogs of FPA model compounds were prepared and studied, however FPA-based polymeric materials having very high protonic conductivities under either wet or dry conditions were not obtained. Several possible reasons for the failure of polymeric materials to exhibit the expected high protonic conductivities were identified, including a failure of the polymers to adopt the phase-separated secondary structure/morphology necessary for high proton conductivity, and an unexpected polymer crosslinking effect of acidic groups having two P-OH groups. The project has lent insight into how FPA groups transport protons in both liquid and polymeric forms, which provides guidance to future efforts to design and prepare future generations of proton-conducting polymer electrolytes for hydrogen fuel cells and other types of electrochemical energy conversion and storage devices.

  16. Mid-Atlantic Wind - Overcoming the Challenges

    SciTech Connect (OSTI)

    Daniel F. Ancona III; Kathryn E. George; Richard P. Bowers; Dr. Lynn Sparling; Bruce Buckheit; Daniel LoBue

    2012-05-31T23:59:59.000Z

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  17. Mid-Atlantic Wind - Overcoming the Challenges

    SciTech Connect (OSTI)

    Daniel F. Ancona III; Kathryn E. George; Lynn Sparling; Bruce C. Buckheit; Daniel LoBue; and Richard P. Bowers

    2012-06-29T23:59:59.000Z

    This study, supported by the US Department of Energy, Wind Powering America Program, Maryland Department of Natural Resources and Chesapeake Bay Foundation, analyzed barriers to wind energy development in the Mid-Atlantic region along with options for overcoming or mitigating them. The Mid-Atlantic States including Delaware, Maryland, North Carolina and Virginia, have excellent wind energy potential and growing demand for electricity, but only two utility-scale projects have been installed to date. Reasons for this apathetic development of wind resources were analyzed and quantified for four markets. Specific applications are: 1) Appalachian mountain ridgeline sites, 2) on coastal plains and peninsulas, 3) at shallow water sites in Delaware and Chesapeake Bays, Albemarle and Pamlico Sounds, and 4) at deeper water sites off the Atlantic coast. Each market has distinctly different opportunities and barriers. The primary barriers to wind development described in this report can be grouped into four categories; state policy and regulatory issues, wind resource technical uncertainty, economic viability, and public interest in environmental issues. The properties of these typologies are not mutually independent and do interact. The report concluded that there are no insurmountable barriers to land-based wind energy projects and they could be economically viable today. Likewise potential sites in sheltered shallow waters in regional bay and sounds have been largely overlooked but could be viable currently. Offshore ocean-based applications face higher costs and technical and wind resource uncertainties. The ongoing research and development program, revision of state incentive policies, additional wind measurement efforts, transmission system expansion, environmental baseline studies and outreach to private developers and stakeholders are needed to reduce barriers to wind energy development.

  18. Multi-Project Baselines for Evaluation of Industrial Energy-Efficiency and Electric Power Projects

    E-Print Network [OSTI]

    2001-01-01T23:59:59.000Z

    and wind to meet the off grid supply. The future expansionagency for decentralized off-grid supply of power of 6 MW ofProject 5 is based on Off-grid Solar Home Systems. The aim

  19. Base excitation testing system using spring elements to pivotally mount wind turbine blades

    DOE Patents [OSTI]

    Cotrell, Jason; Hughes, Scott; Butterfield, Sandy; Lambert, Scott

    2013-12-10T23:59:59.000Z

    A system (1100) for fatigue testing wind turbine blades (1102) through forced or resonant excitation of the base (1104) of a blade (1102). The system (1100) includes a test stand (1112) and a restoring spring assembly (1120) mounted on the test stand (1112). The restoring spring assembly (1120) includes a primary spring element (1124) that extends outward from the test stand (1112) to a blade mounting plate (1130) configured to receive a base (1104) of blade (1102). During fatigue testing, a supported base (1104) of a blad (1102) may be pivotally mounted to the test stand (1112) via the restoring spring assembly (1120). The system (1100) may include an excitation input assembly (1140) that is interconnected with the blade mouting plate (1130) to selectively apply flapwise, edgewise, and/or pitch excitation forces. The restoring spring assemply (1120) may include at least one tuning spring member (1127) positioned adjacent to the primary spring element (1124) used to tune the spring constant or stiffness of the primary spring element (1124) in one of the excitation directions.

  20. Statewide Air Emissions Calculations from Energy Efficiency, Wind and Renewables

    E-Print Network [OSTI]

    Haberl, J.; Yazdani, B.; Culp, C.

    AND RENEWABLES May 2008 Energy Systems Laboratory p. 2 Electricity Production from Wind Farms (2002-2007) ? Installed capacity of wind turbines was 3,026 MW (March 2007). ? Announced new project capacity is 3,125 MW by 2010. ? Lowest electricity period... variations in measured power vs base year power production in the OSP. Energy Systems Laboratory p. 4 Next, looked at hourly electricity produced vs NOAA wind data. Issue: too much scatter. Hourly Turbine Power vs. Wind Speed (On-site) 0 10 20 30...

  1. Land-Based Wind Potential Changes in the Southeastern United States (Presentation)

    SciTech Connect (OSTI)

    Roberts, J. O.

    2013-09-01T23:59:59.000Z

    Recent advancements in utility-scale wind turbine technology and pricing have vastly increased the potential land area where turbines can be deployed in the United States. This presentation quantifies the new developable land potential (e.g., capacity curves), visually identifies new areas for possible development (e.g., new wind resource maps), and begins to address deployment barriers to wind in new areas for modern and future turbine technology.

  2. Cost of Offshore Wind Energy Charlene Nalubega

    E-Print Network [OSTI]

    Mountziaris, T. J.

    water as well as on land based wind farms. The specific offshore wind energy case under consideration, most of the offshore wind farms are in Europe, which started being developed in the early 1990's Cost of Offshore Wind Energy

  3. 20% Wind Energy By 2030 Meeting The Challenges Proceedings of...

    Energy Savers [EERE]

    from the Wind Manufacturing Workshop: Achieving 20% Wind Energy in the U.S. by 2030, May 2009 U.S. Offshore Wind Manufacturing and Supply Chain Development Offshore Wind Projects...

  4. Recent Observations of Plasma and Alfvenic Wave Energy Injection at the Base of the Fast Solar Wind

    E-Print Network [OSTI]

    McIntosh, Scott W

    2012-01-01T23:59:59.000Z

    We take stock of recent observations that identify the episodic plasma heating and injection of Alfvenic energy at the base of fast solar wind (in coronal holes). The plasma heating is associated with the occurrence of chromospheric spicules that leave the lower solar atmosphere at speeds of order 100km/s, the hotter coronal counterpart of the spicule emits radiation characteristic of root heating that rapidly reaches temperatures of the order of 1MK. Furthermore, the same spicules and their coronal counterparts ("Propagating Coronal Disturbances"; PCD) exhibit large amplitude, high speed, Alfvenic (transverse) motion of sufficient energy content to accelerate the material to high speeds. We propose that these (disjointed) heating and accelerating components form a one-two punch to supply, and then accelerate, the fast solar wind. We consider some compositional constraints on this concept, extend the premise to the slow solar wind, and identify future avenues of exploration.

  5. Weather Incorporated for Needs Development (W.I.N.D.)

    SciTech Connect (OSTI)

    Paul Gunderson; Melinda Martin; Jay Johnson

    2012-01-30T23:59:59.000Z

    The OSHA Power Generation Standard states that power generation employees shall be trained in specific applications of the standard that apply to individual job requirements. The intent of the project objective, then, is to create a tailored course that identifies standard requirements that apply to wind energy technicians.The purpose of this project is to develop an OSHA Power Generation Standard (1910.269) training course for both college based wind energy technician students and for continued workforce training of already employed wind technicians.

  6. Projection-based model reduction for contact problems

    E-Print Network [OSTI]

    Balajewicz, Maciej; Farhat, Charbel

    2015-01-01T23:59:59.000Z

    Large scale finite element analysis requires model order reduction for computationally expensive applications such as optimization, parametric studies and control design. Although model reduction for nonlinear problems is an active area of research, a major hurdle is modeling and approximating contact problems. This manuscript introduces a projection-based model reduction approach for static and dynamic contact problems. In this approach, non-negative matrix factorization is utilized to optimally compress and strongly enforce positivity of contact forces in training simulation snapshots. Moreover, a greedy algorithm coupled with an error indicator is developed to efficiently construct parametrically robust low-order models. The proposed approach is successfully demonstrated for the model reduction of several two-dimensional elliptic and hyperbolic obstacle and self contact problems.

  7. DOE Report Tracks Maturation of U.S. Wind Industry

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2007-01-01T23:59:59.000Z

    Figure 7. Installed Wind Project Costs Over Time Figure 8.on U.S. Wind Power Installation, Cost, and Performanceof a decline in wind project O&M costs in recent years.

  8. Ancillary Frequency Control of Direct Drive Full-Scale Converter Based Wind Power Plants

    E-Print Network [OSTI]

    Chen, Zhe

    as the studied power system. Simulation results show that the proposed control strategies are effective means into the modern power systems. In Denmark, the wind energy supplies around 20% of the annual electricity demand system frequency control solutions, such as frequency control from wind power plants may be needed

  9. Bearing Fault Detection in DFIG-Based Wind Turbines Using the First Intrinsic Mode Function

    E-Print Network [OSTI]

    Boyer, Edmond

    Function (IMF) of the stator current signal. After extracting the first IMF, amplitude Terms--Wind turbine, Doubly Fed Induction Generator (DFIG), fault detection, bearings, signal processing the processing of available measurements. A quantitative analysis of real wind turbine failure data has shown

  10. Specification of >2 MeV geosynchronous electrons based on solar wind measurements

    E-Print Network [OSTI]

    Li, Xinlin

    affected by the solar wind. Statistical asynchronous regression (SAR), a statistical method recently use measurements directly from the solar wind, instead of the Kp index, and the SAR method when they pass through these local times. We cross calibrate the electron measurements from the five

  11. Workforce Development and Wind for Schools (Poster)

    SciTech Connect (OSTI)

    Newcomb, C.; Baring-Gould, I.

    2012-06-01T23:59:59.000Z

    As the United States dramatically expands wind energy deployment, the industry is faced with the need to quickly develop a skilled workforce and to address public acceptance. Wind Powering America's Wind for Schools project addresses these challenges. This poster, produced for the American Wind Energy Association's annual WINDPOWER conference, provides an overview of the project, including objectives, methods, and results.

  12. U.S. Department of Energy Wind and Water Power Program Funding in the United States: Conventional Hydropower Projects, FY 2008 … FY 2010

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3E Ambassadors and C3EDepartment ofOFFSHORE WIND PROJECTS Fiscal

  13. Paper presented at the 2010 European Wind Energy Conference, Warsaw, Poland, 20-23 April 2010 Wind power prediction risk indices based on

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Paper presented at the 2010 European Wind Energy Conference, Warsaw, Poland, 20-23 April 2010 Wind. I. INTRODUCTION Wind power is a rapidly growing renewable energy source increasing its share Siebert** and George Kariniotakis*** MINES ParisTech, CEP - Center for Energy and Processes BP 207, 06904

  14. Wind Vision: Updating the DOE 20% Wind Energy by 2030 Report (Poster)

    SciTech Connect (OSTI)

    Baring-Gould, E. I.

    2014-04-01T23:59:59.000Z

    The 20% Wind Energy by 2030 report was developed as part of the Advanced Energy Initiative. Published in 2008, the report was largely based on information collected and analyzed in 2006. Much has changed since then, including shifts in technology, markets, and policy. The industry needs a new, clear, vision for wind power that is shared among stakeholders from the U.S. government, industry, academia, and NGO communities. At WINDPOWER 2013, the U.S. Department of Energy, in partnership with the American Wind Energy Association and the Wind Energy Foundation, launched a project to update the 20% report with new objectives. This conference poster outlines the elements of the new Wind Vision.

  15. OPTIMAL CONTROL OF PROJECTS BASED ON KALMAN FILTER APPROACH FOR TRACKING & FORECASTING THE PROJECT PERFORMANCE

    E-Print Network [OSTI]

    Bondugula, Srikant

    2010-07-14T23:59:59.000Z

    , such a system must include a method for updating and revising the beliefs or models used for representing the dynamics of the project using the actual progress data of the project. This research develops such an optimal project control method using Kalman...

  16. National Skills Assessment of the U.S. Wind Industry in 2012

    SciTech Connect (OSTI)

    Levanthal, M.; Tegen, S.

    2013-06-01T23:59:59.000Z

    A robust workforce is essential to developing domestic wind power projects, including manufacturing, siting, operations, maintenance, and research capabilities. The purpose of our research is to better understand today's domestic wind workforce, projected workforce needs as the industry grows, and how existing and new programs can meet the wind industry's future education and training needs. Results presented in this report provide the first published investigation into the detailed makeup of the wind energy workforce, educational infrastructure and training needs of the wind industry. Insights from this research into the domestic wind workforce will allow the private sector, educational institutions, and federal and state governmental organizations to make workforce-related decisions based on the current employment and training data and future projections in this report.

  17. Wind Power Career Chat

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    This document will teach students about careers in the wind energy industry. Wind energy, both land-based and offshore, is expected to provide thousands of new jobs in the next several decades. Wind energy companies are growing rapidly to meet America's demand for clean, renewable, and domestic energy. These companies need skilled professionals. Wind power careers will require educated people from a variety of areas. Trained and qualified workers manufacture, construct, operate, and manage wind energy facilities. The nation will also need skilled researchers, scientists, and engineers to plan and develop the next generation of wind energy technologies.

  18. Gone with the Wind - The Potential Tragedy of the Common Wind

    E-Print Network [OSTI]

    Lifshitz-Goldberg, Yaei

    2010-01-01T23:59:59.000Z

    1980s the in- stalled wind-generation capacity in the Unitedand land uses. A wind generation project could potentiallysystem. See Impact of Wind Power Generation in Ireland on

  19. Gone with the Wind - The Potential Tragedy of the Common Wind

    E-Print Network [OSTI]

    Lifshitz-Goldberg, Yaei

    2010-01-01T23:59:59.000Z

    of pollutants by the wind and the various factors at play,2005). 12. Id. GONE WITH THE WIND? increased concerns aboutthe Impacts of Large Wind Turbine Projects to Encourage

  20. Small Wind Independent Testing (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-09-01T23:59:59.000Z

    This fact sheet describes the Small Wind Independent Testing at the NWTC and the Regional Test Centers project.

  1. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations – the Southern Study Area

    SciTech Connect (OSTI)

    Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

    2014-04-30T23:59:59.000Z

    This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP)--Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute – 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 – 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems’ ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 – 3 hours.

  2. Windings and Axes 1.0 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    on a synchronous machine: · 3 stator windings (aphase, bphase, and cphase) · 1 main field winding · Amortissuer windings on the polefaces The stator windings and the field winding is familiar to you based will model a total of 7, with associated currents as designated below. · 3 stator windings: ia, ib

  3. Control of a wind power system based on a tethered wing

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , hydraulic systems, etc. The wind turbine are certainly playing a major role in creating renewable energies overcome the drawbacks of standard power generation systems like nuclear power, gas turbine generator

  4. Observer-based control of a tethered wing wind power system: indoor real-time experiment

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . A third solution is to use power kites as renewable energy generators [3]. One can cite the "Kite Wind Generator" of Politecnico di Torino [6], [5] and the "Laddermill" of the Delft University of Technology [13

  5. Broken Bar Detection in Synchronous Machines Based Wind Energy Conversion System

    E-Print Network [OSTI]

    Rahimian, Mina Mashhadi

    2012-10-19T23:59:59.000Z

    at extremely high towers and therefore inaccessible. For offshore plants, bad weather can prevent any repair actions for several weeks. In some of the new wind turbines synchronous generators are used and directly connected to the grid without the need...

  6. Boron-based Additives in Oil and Grease for Wind Turbine Applications

    E-Print Network [OSTI]

    Kim, Jun-Hyeok

    2013-06-25T23:59:59.000Z

    This research investigates the tribological performance of crystalline and amorphous powders of boron as additives in lubricants: grease and mineral oil for potential applications of wind turbine. This research is focused on the wear resistance...

  7. Preliminary design and viability consideration of external, shroud-based stators in wind turbine generators

    E-Print Network [OSTI]

    Shoemaker-Trejo, Nathaniel (Nathaniel Joseph)

    2012-01-01T23:59:59.000Z

    Horizontal-axis wind turbine designs often included gearboxes or large direct-drive generators to compensate for the low peripheral speeds of the turbine hub. To take advantage of high blade tip speeds, an alternative ...

  8. Rotor Speed Dependent Yaw Control of Wind Turbines Based on Empirical Data

    SciTech Connect (OSTI)

    Kragh, K. A.; Fleming, P. A.

    2012-01-01T23:59:59.000Z

    When extracting energy from the wind using horizontal-axis upwind wind turbines, a primary condition for maximum power yield is the ability to align the rotor axis with the dominating wind direction. Attempts have been made to improve yaw alignment by applying advanced measurement techniques such as LIDARs. This study is focused at assessing the current performance of an operating turbine and exploring how the yaw alignment can be improved using existing measurements. By analyzing available turbine and met mast data a correction scheme for the original yaw alignment system is synthesized. The correction scheme is applied and it is seen that with the correction scheme in place, the power yield below rated is raised 1-5 percent. Furthermore, results indicate that blade load variations are decreased when the correction scheme is applied. The results are associated with uncertainties due to the amount of available data and the wind site climate. Further work should be focused at gathering more experimental data.

  9. Broken Bar Detection in Synchronous Machines Based Wind Energy Conversion System 

    E-Print Network [OSTI]

    Rahimian, Mina Mashhadi

    2012-10-19T23:59:59.000Z

    Electrical machines are subject to different types of failures. Early detection of the incipient faults and fast maintenance may prevent costly consequences. Fault diagnosis of wind turbine is especially important because they are situated...

  10. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and Performanceand Capital Costs Drive Wind Power Prices. . . . . 14Figure 18. Installed Wind Project Costs over Time Installed

  11. Wind Power Development in the United States: Current Progress, Future Trends

    E-Print Network [OSTI]

    Wiser, Ryan H

    2009-01-01T23:59:59.000Z

    supply curve for wind using cost and performance assumptionspressure on installed wind project costs while the industryon U.S. Wind Power Installation, Cost, and Performance

  12. Analysis of Wind Power and Load Data at Multiple Time Scales

    E-Print Network [OSTI]

    Coughlin, Katie

    2011-01-01T23:59:59.000Z

    The spectrum of power from wind turbines. Journal of PowerAWEA 2010. American Wind Energy Association ProjectsErik and Jason Kemper. 2009. Wind Plant Ramping Behavior.

  13. Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices

    E-Print Network [OSTI]

    Hoen, Ben

    2010-01-01T23:59:59.000Z

    by exploring the potential impact of wind projects on homethe three potential stigmas surrounding wind facilities.investigated the potential impacts of wind power facilities

  14. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Cost Analysis: Multi-Year Analysis Results and Recommendations. Consultant report prepared by the California Windanalysis of the AWEA project database. Cost, Performance and Pricing Trends Wind

  15. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Cost Analysis: Multi-Year Analysis Results and Recommendations. Consultant report prepared by the California Windanalysis of the AWEA project database. Price, Cost, and Performance Trends Wind

  16. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Projects Seller NRG Bluewater Purchaser Delmarva Location /of regulatory filings * NRG Bluewater has contracted for an14 In Delaware, NRG Bluewater Wind was awarded an interim

  17. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    wind energy, regulatory delays and uncertainty associated with offshore development, turbine supply shortages, high and uncertain offshore project costs, and public acceptance

  18. Energy Department Announces Offshore Wind Demonstration Awardees...

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

    demonstration partnerships with broad consortia that are developing breakthrough offshore wind energy generation projects. The primary goals of these projects are to...

  19. Planning and Projects

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

    Rates Planning Ten-Year Capital Program Projects Lovell-Yellowtail Transmission Line Rebuild project Studies WACM Wind production summary overview (Oct. 2006)...

  20. National Wind Distance Learning Collaborative

    SciTech Connect (OSTI)

    Dr. James B. Beddow

    2013-03-29T23:59:59.000Z

    Executive Summary The energy development assumptions identified in the Department of Energy's position paper, 20% Wind Energy by 2030, projected an exploding demand for wind energy-related workforce development. These primary assumptions drove a secondary set of assumptions that early stage wind industry workforce development and training paradigms would need to undergo significant change if the workforce needs were to be met. The current training practice and culture within the wind industry is driven by a relatively small number of experts with deep field experience and knowledge. The current training methodology is dominated by face-to-face, classroom based, instructor present training. Given these assumptions and learning paradigms, the purpose of the National Wind Distance Learning Collaborative was to determine the feasibility of developing online learning strategies and products focused on training wind technicians. The initial project scope centered on (1) identifying resources that would be needed for development of subject matter and course design/delivery strategies for industry-based (non-academic) training, and (2) development of an appropriate Learning Management System (LMS). As the project unfolded, the initial scope was expanded to include development of learning products and the addition of an academic-based training partner. The core partners included two training entities, industry-based Airstreams Renewables and academic-based Lake Area Technical Institute. A third partner, Vision Video Interactive, Inc. provided technology-based learning platforms (hardware and software). The revised scope yielded an expanded set of results beyond the initial expectation. Eight learning modules were developed for the industry-based Electrical Safety course. These modules were subsequently redesigned and repurposed for test application in an academic setting. Software and hardware developments during the project's timeframe enabled redesign providing for student access through the use of tablet devices such as iPads. Early prototype Learning Management Systems (LMS) featuring more student-centric access and interfaces with emerging social media were developed and utilized during the testing applications. The project also produced soft results involving cross learning between and among the partners regarding subject matter expertise, online learning pedagogy, and eLearning technology-based platforms. The partners believe that the most significant, overarching accomplishment of the project was the development and implementation of goals, activities, and outcomes that significantly exceeded those proposed in the initial grant application submitted in 2009. Key specific accomplishments include: (1) development of a set of 8 online learning modules addressing electrical safety as it relates to the work of wind technicians; (3) development of a flexible, open-ended Learning Management System (LMS): (3) creation of a robust body of learning (knowledge, experience, skills, and relationships). Project leaders have concluded that there is substantial resource equity that could be leverage and recommend that it be carried forward to pursue a Next Stage Opportunity relating to development of an online core curriculum for institute and community college energy workforce development programs.