Sample records for wind capacity megawatts

  1. National Wind Technology Center Dynamic 5-Megawatt Dynamometer

    ScienceCinema (OSTI)

    Felker, Fort

    2014-06-10T23:59:59.000Z

    The National Wind Technology Center (NWTC) offers wind industry engineers a unique opportunity to conduct a wide range of tests. Its custom-designed dynamometers can test wind turbine systems from 1 kilowatt (kW) to 5 megawatts (MW). The NWTC's new dynamometer facility simulates operating field conditions to assess the reliability and performance of wind turbine prototypes and commercial machines, thereby reducing deployment time, failures, and maintenance or replacement costs. Funded by the U.S. Department of Energy with American Recovery and Reinvestment Act (ARRA) funds, the 5-MW dynamometer will provide the ability to test wind turbine drivetrains and connect those drivetrains directly to the electricity grid or through a controllable grid interface (CGI). The CGI tests the low-voltage ride-through capability of a drivetrain as well as its response to faults and other abnormal grid conditions.

  2. National Wind Technology Center Dynamic 5-Megawatt Dynamometer

    SciTech Connect (OSTI)

    Felker, Fort

    2013-11-13T23:59:59.000Z

    The National Wind Technology Center (NWTC) offers wind industry engineers a unique opportunity to conduct a wide range of tests. Its custom-designed dynamometers can test wind turbine systems from 1 kilowatt (kW) to 5 megawatts (MW). The NWTC's new dynamometer facility simulates operating field conditions to assess the reliability and performance of wind turbine prototypes and commercial machines, thereby reducing deployment time, failures, and maintenance or replacement costs. Funded by the U.S. Department of Energy with American Recovery and Reinvestment Act (ARRA) funds, the 5-MW dynamometer will provide the ability to test wind turbine drivetrains and connect those drivetrains directly to the electricity grid or through a controllable grid interface (CGI). The CGI tests the low-voltage ride-through capability of a drivetrain as well as its response to faults and other abnormal grid conditions.

  3. Economic Development Impacts of Colorado's First 1,000 Megawatts of Wind Energy

    SciTech Connect (OSTI)

    Not Available

    2009-01-01T23:59:59.000Z

    This fact sheet summarizes the findings of a report authored by Sandra Reategui and Suzanne Tegen of the National Renewable Energy Laboratory (NREL). A confluence of events ignited soaring growth in the number of Colorado?s wind power installations in recent years, from 291 megawatts (MW) of nameplate capacity in 2006 to 1,067 MW (nameplate capacity) in 2007. Analyzing the economic impact of Colorado?s first 1,000 MW of wind energy development not only provides a summary of benefits now enjoyed by the state?s population, but it also provides a sense of the economic development opportunities associated with other new wind project scenarios, including the U.S. Department of Energy?s 20% Wind Energy by 2030 scenario. The analysis can be used by interested parties in other states as an example of the potential economic impacts if they were to adopt 1,000 MW of wind power development.

  4. Dynamic analysis of a 5 megawatt offshore floating wind turbine

    E-Print Network [OSTI]

    Harriger, Evan Michael

    2011-01-01T23:59:59.000Z

    Why offshore wind energy? Offshore wind turbines have theturbine will also uncover potential problems that exist with offshore wind energy.

  5. Dynamic analysis of a 5 megawatt offshore floating wind turbine

    E-Print Network [OSTI]

    Harriger, Evan Michael

    2011-01-01T23:59:59.000Z

    1985. 23. Hau, E. Wind Turbines: Fundamentals, Technologies,for Floating Offshore Wind Turbines. Tech. no. NREL/CP-500-Full-scale Floating Wind Turbine." Statoil, 14 Oct. 2009.

  6. Dynamic analysis of a 5 megawatt offshore floating wind turbine

    E-Print Network [OSTI]

    Harriger, Evan Michael

    2011-01-01T23:59:59.000Z

    Offshore wind turbines have the potential to generateuncover potential problems that exist with offshore windwind turbines in operation, this technology has the potential

  7. Comparative Assessment of Direct Drive High Temperature Superconducting Generators in Multi-Megawatt Class Wind Turbines

    SciTech Connect (OSTI)

    Maples, B.; Hand, M.; Musial, W.

    2010-10-01T23:59:59.000Z

    This paper summarizes the work completed under the CRADA between NREL and American Superconductor (AMSC). The CRADA combined NREL and AMSC resources to benchmark high temperature superconducting direct drive (HTSDD) generator technology by integrating the technologies into a conceptual wind turbine design, and comparing the design to geared drive and permanent magnet direct drive (PMDD) wind turbine configurations. Analysis was accomplished by upgrading the NREL Wind Turbine Design Cost and Scaling Model to represent geared and PMDD turbines at machine ratings up to 10 MW and then comparing cost and mass figures of AMSC's HTSDD wind turbine designs to theoretical geared and PMDD turbine designs at 3.1, 6, and 10 MW sizes. Based on the cost and performance data supplied by AMSC, HTSDD technology has good potential to compete successfully as an alternative technology to PMDD and geared technology turbines in the multi megawatt classes. In addition, data suggests the economics of HTSDD turbines improve with increasing size, although several uncertainties remain for all machines in the 6 to 10 MW class.

  8. 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...

  9. Capacity Building in Wind Energy for PICs

    E-Print Network [OSTI]

    indicates that significant wind energy potential exists. · A monitoring project showed that in Rarotonga system. · About 30 other islands could have potential for grid connected wind turbines in the 100-1000 k1 Capacity Building in Wind Energy for PICs Presentation of the project Regional Workshop Suva

  10. Economic Development Impacts of Colorado's First 1000 Megawatts of Wind Energy

    SciTech Connect (OSTI)

    Reategui, S.; Tegen, S.

    2008-08-01T23:59:59.000Z

    This report analyzes the economic impacts of the installation of 1000 MW of wind power in the state of Colorado.

  11. Economic Impacts from Indiana's First 1,000 Megawatts of Wind Power

    SciTech Connect (OSTI)

    Tegen, S.; Keyser, D.; Flores-Espino, F.; Hauser, R.

    2014-08-01T23:59:59.000Z

    The magnitude of Indiana's available wind resource indicates that the development of wind power infrastructure has the potential to support millions of dollars of economic activity in the state. The Jobs and Economic Development Impact (JEDI) models, developed by the National Renewable Energy Laboratory, are tools used to estimate some of the economic impacts of energy projects at the state level. JEDI calculates results in the form of jobs, earnings, and economic output in three categories: project development and onsite labor, local revenue and supply chain, and induced impacts. According to this analysis, the first 1,000 MW of wind power development in Indiana (projects built between 2008 and 2011): supported employment totaling more than 4,400 full-time-equivalent jobs in Indiana during the construction periods; supports approximately 260 ongoing Indiana jobs; supported nearly $570 million in economic activity for Indiana during the construction periods; supported and continues to support nearly $40 million in annual Indiana economic activity during the operating periods; generates more than $8 million in annual property taxes; generates nearly $4 million annually in income for Indiana landowners who lease their land for wind energy projects.

  12. Xcel Energy Wind and Biomass Generation Mandate

    Broader source: Energy.gov [DOE]

    Minnesota law (Minn. Stat. 216B.2423) requires Xcel Energy to build or contract for 225 megawatts (MW) of installed wind-energy capacity in the state by December 31, 1998, and to build or...

  13. Wind Farm Portfolio Optimization under Network Capacity Constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    1 Wind Farm Portfolio Optimization under Network Capacity Constraints Hel`ene Le Cadre, Anthony of wind farms in a Market Coupling organization, for two Market Designs (exogenous prices and endogenous of efficient wind farm portfolios, is derived theoretically as a function of the number of wind farms

  14. Capacity Requirements to Support Inter-Balancing Area Wind Delivery

    SciTech Connect (OSTI)

    Kirby, B.; Milligan, M.

    2009-07-01T23:59:59.000Z

    Paper examines the capacity requirements that arise as wind generation is integrated into the power system and how those requirements change depending on where the wind energy is delivered.

  15. High Wind Penetration Impact on U.S. Wind Manufacturing Capacity and Critical Resources

    SciTech Connect (OSTI)

    Laxson, A.; Hand, M. M.; Blair, N.

    2006-10-01T23:59:59.000Z

    This study used two different models to analyze a number of alternative scenarios of annual wind power capacity expansion to better understand the impacts of high levels of wind generated electricity production on wind energy manufacturing and installation rates.

  16. 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.

  17. Sizing Storage and Wind Generation Capacities in Remote Power Systems

    E-Print Network [OSTI]

    Victoria, University of

    Sizing Storage and Wind Generation Capacities in Remote Power Systems by Andy Gassner B Capacities in Remote Power Systems by Andy Gassner B.Sc., University of Wisconsin Madison, 2003 Supervisory and small power systems. However, the variability due to the stochastic nature of the wind resource

  18. Low Wind Speed Turbine Project Phase II: The Application of Medium-Voltage Electrical Apparatus to the Class of Variable Speed Multi-Megawatt Low Wind Speed Turbines; 15 June 2004--30 April 2005

    SciTech Connect (OSTI)

    Erdman, W.; Behnke, M.

    2005-11-01T23:59:59.000Z

    Kilowatt ratings of modern wind turbines have progressed rapidly from 50 kW to 1,800 kW over the past 25 years, with 3.0- to 7.5-MW turbines expected in the next 5 years. The premise of this study is simple: The rapid growth of wind turbine power ratings and the corresponding growth in turbine electrical generation systems and associated controls are quickly making low-voltage (LV) electrical design approaches cost-ineffective. This report provides design detail and compares the cost of energy (COE) between commercial LV-class wind power machines and emerging medium-voltage (MV)-class multi-megawatt wind technology. The key finding is that a 2.5% reduction in the COE can be achieved by moving from LV to MV systems. This is a conservative estimate, with a 3% to 3.5% reduction believed to be attainable once purchase orders to support a 250-turbine/year production level are placed. This evaluation considers capital costs as well as installation, maintenance, and training requirements for wind turbine maintenance personnel. Subsystems investigated include the generator, pendant cables, variable-speed converter, and padmount transformer with switchgear. Both current-source and voltage-source converter/inverter MV topologies are compared against their low-voltage, voltage-source counterparts at the 3.0-, 5.0-, and 7.5-MW levels.

  19. Offshore Wind Energy Market Installed Capacity is Anticipated...

    Open Energy Info (EERE)

    Offshore Wind Energy Market Installed Capacity is Anticipated to Reach 52,120.9 MW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150)...

  20. Robust 1550-nm single-frequency all-fiber ns-pulsed fiber amplifier for wind-turbine predictive control by wind lidar

    E-Print Network [OSTI]

    Oldenburg, Carl von Ossietzky Universitt

    Oldenburg, Germany ABSTRACT Scaling of the power yield of offshore wind farms relies on the capacity powers [1]. To reach the ambitious and politically motivated aims of Multi-GW offshore wind farms belongs to this category. Clustered in wind farms, today's wind turbines produce Megawatt-level output

  1. Determining the Capacity Value of Wind: An Updated Survey of Methods and Implementation; Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Porter, K.

    2008-06-01T23:59:59.000Z

    This paper summarizes state and regional studies examining the capacity value of wind energy, how different regions define and implement capacity reserve requirements, and how wind energy is defined as a capacity resource in those regions.

  2. 2014 Year-End Wind Power Capacity

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind2 0

  3. Statewide Air Emissions Calculations from Wind and Other Renewables, Summary Report: A Report to the Texas Commission on Environmental Quality for the Period September 2007 - August 2008

    E-Print Network [OSTI]

    Gilman, D.; Yazdani, B.; Haberl, J. S.; Baltazar-Cervantes, J. C.; Subbarao, K.; Culp, C.; Liu, Z.

    -wind renewables. This legislation also requires the Public Utilities Commission of Texas (PUCT) to establish a target of 10,000 megawatts of installed renewable capacity by 2025, and requires the Texas Commission on Environmental Quality (TCEQ) to develop...

  4. Examination of Capacity and Ramping Impacts of Wind Energy on Power Systems

    SciTech Connect (OSTI)

    Kirby, B.; Milligan, M.

    2008-07-01T23:59:59.000Z

    When wind plants serve load within the balancing area, no additional capacity required to integrate wind power into the system. We present some thought experiments to illustrate some implications for wind integration studies.

  5. 36 SEPTEMBER | 2012 WiNd TURbiNE CAPACiTY

    E-Print Network [OSTI]

    Kusiak, Andrew

    36 SEPTEMBER | 2012 WiNd TURbiNE CAPACiTY FRONTiER FROM SCAdA ThE WORld hAS SEEN A significant contributor to this growth. The wind turbine generated energy depends on the wind potential and the turbine of wind turbines. Supervi- sory control and data acquisition (SCADA) systems record wind turbine

  6. Dynamic valuation model For wind development in regard to land value, proximity to transmission lines, and capacity factor

    E-Print Network [OSTI]

    Nikandrou, Paul

    2009-01-01T23:59:59.000Z

    Developing a wind farm involves many variables that can make or break the success of a potential wind farm project. Some variables such as wind data (capacity factor, wind rose, wind speed, etc.) are readily available in ...

  7. Property:PotentialOffshoreWindCapacity | 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 GeothermalPotentialBiopowerSolidGeneration Jump to:PotentialOffshoreWindCapacity Jump to: navigation, search

  8. Property:PotentialOnshoreWindCapacity | 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 GeothermalPotentialBiopowerSolidGeneration Jump to:PotentialOffshoreWindCapacity Jump

  9. Global wind energy market report. Wind energy industry grows at steady pace, adds over 8,000 MW in 2003

    SciTech Connect (OSTI)

    anon.

    2004-03-01T23:59:59.000Z

    Cumulative global wind energy generating capacity topped 39,000 megawatts (MW) by the end of 2003. New equipment totally over 8,000 MW in capacity was installed worldwide during the year. The report, updated annually, provides information on the status of the wind energy market throughout the world and gives details on various regions. A listing of new and cumulative installed capacity by country and by region is included as an appendix.

  10. EA-1800: DOEs Proposed Financial Assistance to Illinois for the Monarch Warren County Wind Turbine Project, Lenox Township, Warren County, Illinois

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) has provided Federal funding to the Illinois Department of Commerce and Economic Opportunity (DCEO) under the State Energy Program (SEP). DCEO is seeking to provide $5 million of its SEP funds to Monarch Wind Power (MWP), who would use these funds for the design, permitting, and construction of 12, 1.6-megawatt wind turbines, for a combined generation capacity of 19.2 megawatts.

  11. Table 11.6 Installed Nameplate Capacity of Fossil-Fuel Steam-Electric Generators With Environmental Equipment, 1985-2010 (Megawatts)

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled Nameplate Capacity of

  12. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in West Virginia (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01T23:59:59.000Z

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in West Virginia. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in West Virginia to be $1.0 billion, annual CO2 reductions are estimated at 3.3 million tons, and annual water savings are 1,763 million gallons.

  13. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Pennsylvania (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01T23:59:59.000Z

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Pennsylvania. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in Pennsylvania to be $1.2 billion, annual CO2 reductions are estimated at 3.4 million tons, and annual water savings are 1,837 million gallons.

  14. The 5-megawatt power plant with 126 metre rotor diameter

    E-Print Network [OSTI]

    Firestone, Jeremy

    The 5-megawatt power plant with 126 metre rotor diameter #12;Design data Rated power 5,000kW Cut and most powerful wind turbines in the world. The 5M sets new standards for the economic viability similar to conventional power plants. This in turn puts high demands on the control and regulation system

  15. Wind Farm

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  16. PLANS FOR FUTURE MEGAWATT FACILITIES.

    SciTech Connect (OSTI)

    ROSER,T.

    2004-10-13T23:59:59.000Z

    Proton accelerators producing beam powers of up to 1 MW are presently either operating or under construction and designs for Multi-Megawatt facilities are being developed. High beam power has applications in the production of high intensity secondary beams of neutrons, muons, kaons and neutrinos as well as in nuclear waste transmutation and accelerator-driven sub-critical reactors. Each of these applications has additional requirements on beam energy and duty cycle. This paper will review how present designs for future Multi-Megawatt facilities meet these requirements and will also review the experience with present high power facilities.

  17. Basic Integrative Models for Offshore Wind Turbine Systems

    E-Print Network [OSTI]

    Aljeeran, Fares

    2012-07-16T23:59:59.000Z

    were modeled using apparent fixity level, Randolph elastic continuum, and modified cone models. The offshore wind turbine structures were developed using a finite element formulation. A two-bladed 3.0 megawatt (MW) and a three-bladed 1.5 MW capacity...

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

    SciTech Connect (OSTI)

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

    2014-03-21T23:59:59.000Z

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

  19. Multi-Objective Capacity Planning of a Pv-Wind-Diesel-Battery Hybrid Power System

    E-Print Network [OSTI]

    Saif, A.

    A new solution methodology of the capacity design problem of a PV-Wind-Diesel-Battery Hybrid Power System (HPS) is presented. The problem is formulated as a Linear Programming (LP) model with two objectives: minimizing ...

  20. Study Finds 54 Gigawatts of Offshore Wind Capacity Technically...

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

    According to a new study funded by DOE, the United States has sufficient offshore wind energy resources to legitimize the installation of at least 54 gigawatts (GW) of offshore...

  1. Determining the Capacity Value of Wind: A Survey of Methods and Implementation; Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Porter, K.

    2005-05-01T23:59:59.000Z

    This paper focuses on methodologies for determining the capacity value of generating resources, including wind energy and summarizes several important state and regional studies. Regional transmission organizations, state utility regulatory commissions, the North American Electric Reliability Council, regional reliability councils, and increasingly, the Federal Energy Regulatory Commission all advocate, call for, or in some instances, require that electric utilities and competitive power suppliers not only have enough generating capacity to meet customer demand but also have generating capacity in reserve in case customer demand is higher than expected, or if a generator or transmission line goes out of service. Although the basic concept is the same across the country, how it is implemented is strikingly different from region to region. Related to this question is whether wind energy qualifies as a capacity resource. Wind's variability makes this a matter of great debate in some regions. However, many regions accept that wind energy has some capacity value, albeit at a lower value than other energy technologies. Recently, studies have been published in California, Minnesota and New York that document that wind energy has some capacity value. These studies join other initiatives in PJM, Colorado, and in other states and regions.

  2. 2005 Year End Wind Power Capacity for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  3. Capacity Value of Wind Plants and Overview of U.S. Experience (Presentation)

    SciTech Connect (OSTI)

    Milligan, M.

    2011-08-01T23:59:59.000Z

    This presentation provides an overview and summary of the capacity value of wind power plants, based primarily on the U.S. experience. Resource adequacy assessment should explicitly consider risk. Effective load carrying capability (ELCC) captures each generators contribution to resource adequacy. On their own, reserve margin targets as a percent of peak can't capture risks effectively. Recommend benchmarking reliability-based approaches with others.

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

    Broader source: Energy.gov [DOE]

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

  5. Wind Energy Permitting Standards

    Broader source: Energy.gov [DOE]

    All wind facilities larger than 0.5 megawatts (MW) that begin construction after July 1, 2010, must obtain a permit from any county in which the facility is located. Facilities must also obtain...

  6. Final Environmental Impact Report: North Brawley Ten Megawatt...

    Open Energy Info (EERE)

    Final Environmental Impact Report: North Brawley Ten Megawatt Geothermal Demonstration Facility Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Final...

  7. Spallation Neutron Source reaches megawatt power

    ScienceCinema (OSTI)

    Dr. William F. Brinkman

    2010-01-08T23:59:59.000Z

    The Department of Energy's Spallation Neutron Source (SNS), already the world's most powerful facility for pulsed neutron scattering science, is now the first pulsed spallation neutron source to break the one-megawatt barrier. "Advances in the materials sciences are fundamental to the development of clean and sustainable energy technologies. In reaching this milestone of operating power, the Spallation Neutron Source is providing scientists with an unmatched resource for unlocking the secrets of materials at the molecular level," said Dr. William F. Brinkman, Director of DOE's Office of Science.

  8. Impact of Increasing Distributed Wind Power and Wind Turbine Siting on Rural Distribution Feeder Voltage Profiles: Preprint

    SciTech Connect (OSTI)

    Allen, A.; Zhang, Y. C.; Hodge, B. M.

    2013-09-01T23:59:59.000Z

    Many favorable wind energy resources in North America are located in remote locations without direct access to the transmission grid. Building transmission lines to connect remotely-located wind power plants to large load centers has become a barrier to increasing wind power penetration in North America. By connecting utility-sized megawatt-scale wind turbines to the distribution system, wind power supplied to consumers could be increased greatly. However, the impact of including megawatt-scale wind turbines on distribution feeders needs to be studied. The work presented here examined the impact that siting and power output of megawatt-scale wind turbines have on distribution feeder voltage. This is the start of work to present a general guide to megawatt-scale wind turbine impact on the distribution feeder and finding the amount of wind power that can be added without adversely impacting the distribution feeder operation, reliability, and power quality.

  9. White Knights: Will wind and solar come to the rescue of a looming capacity gap from nuclear phase-out or

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    rapidly but faces grid integration problems; yet the cost of PV solar panels has plummeted thanks1 White Knights: Will wind and solar come to the rescue of a looming capacity gap from nuclear renewable power generation from wind and solar as a non- emitting alternative to replace a nuclear phase

  10. Mass Megawatts Wind Power Inc | 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 <Stevens Jump to:source History View

  11. Power-Capacity and Ramp-Capability Reserves for Wind Integration ...

    E-Print Network [OSTI]

    German Morales-España

    2014-07-08T23:59:59.000Z

    Jul 8, 2014 ... These power and ramp requirements can be obtained from wind forecast information. ... power-trajectories instead of the traditional energy-blocks and takes ... The operation cost comparison is made through 5-min economic...

  12. Multi Megawatt Power System Analysis Report

    SciTech Connect (OSTI)

    Longhurst, Glen Reed; Harvego, Edwin Allan; Schnitzler, Bruce Gordon; Seifert, Gary Dean; Sharpe, John Phillip; Verrill, Donald Alan; Watts, Kenneth Donald; Parks, Benjamin Travis

    2001-11-01T23:59:59.000Z

    Missions to the outer planets or to near-by planets requiring short times and/or increased payload carrying capability will benefit from nuclear power. A concept study was undertaken to evaluate options for a multi-megawatt power source for nuclear electric propulsion. The nominal electric power requirement was set at 15 MWe with an assumed mission profile of 120 days at full power, 60 days in hot standby, and another 120 days of full power, repeated several times for 7 years of service. Of the numerous options considered, two that appeared to have the greatest promise were a gas-cooled reactor based on the NERVA Derivative design, operating a closed cycle Brayton power conversion system; and a molten lithium-cooled reactor based on SP-100 technology, driving a boiling potassium Rankine power conversion system. This study examined the relative merits of these two systems, seeking to optimize the specific mass. Conclusions were that either concept appeared capable of approaching the specific mass goal of 3-5 kg/kWe estimated to be needed for this class of mission, though neither could be realized without substantial development in reactor fuels technology, thermal radiator mass efficiency, and power conversion and distribution electronics and systems capable of operating at high temperatures. Though the gas-Brayton systems showed an apparent advantage in specific mass, differences in the degree of conservatism inherent in the models used suggests expectations for the two approaches may be similar. Brayton systems eliminate the need to deal with two-phase flows in the microgravity environment of space.

  13. Dynamic modelling of generation capacity investment in electricity markets with high wind penetration

    E-Print Network [OSTI]

    Eager, Daniel

    2012-06-25T23:59:59.000Z

    The ability of liberalised electricity markets to trigger investment in the generation capacity required to maintain an acceptable level of security of supply risk has been - and will continue to be - a topic of much ...

  14. 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.

  15. Gas cooling performance in disc winding of large-capacity gas-insulated transformer

    SciTech Connect (OSTI)

    Nakadate, M.; Toda, K.; Sato, K.; Biswas, D.; Nakagawa, C.; Yanari, T. [Toshiba Corp., Kawasaki (Japan)] [Toshiba Corp., Kawasaki (Japan)

    1996-04-01T23:59:59.000Z

    The authors have developed the gas-cooling system of a 275 kV, 300 MVA class gas-insulated transformer. In this study model experiments in which gas flow was substituted by water flow equivalently and 2-dimensional numerical flow analyses and network analyses were conducted. In this paper the outline of the development and optimization condition to get high cooling performance in SF{sub 6} gas-disc winding system of the transformer are presented.

  16. 1999 Year End Wind Power Capacity Map of the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  17. 2000 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  18. 2001 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  19. 2002 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  20. 2003 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  1. 2004 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  2. 2006 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  3. 2007 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  4. 2008 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  5. 2009 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  6. 2010 Year End Wind Power Capacity Map for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  7. 2011 Year End Wind Power Capacity Map of the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  8. 2012 Year End Wind Power Capacity Map of the United States

    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: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind

  9. Potential Wind Capacity at 110-m Hub Height for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducationOffshore wind

  10. Potential Wind Capacity at 140-m Hub Height for the United States

    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: EnergyWyandanch,EagaAbout PrintableEducationOffshore wind

  11. TMCC WIND RESOURCE ASSESSMENT

    SciTech Connect (OSTI)

    Turtle Mountain Community College

    2003-12-30T23:59:59.000Z

    North Dakota has an outstanding resource--providing more available wind for development than any other state. According to U.S. Department of Energy (DOE) studies, North Dakota alone has enough energy from good wind areas, those of wind power Class 4 and higher, to supply 36% of the 1990 electricity consumption of the entire lower 48 states. At present, no more than a handful of wind turbines in the 60- to 100-kilowatt (kW) range are operating in the state. The first two utility-scale turbines were installed in North Dakota as part of a green pricing program, one in early 2002 and the second in July 2002. Both turbines are 900-kW wind turbines. Two more wind turbines are scheduled for installation by another utility later in 2002. Several reasons are evident for the lack of wind development. One primary reason is that North Dakota has more lignite coal than any other state. A number of relatively new minemouth power plants are operating in the state, resulting in an abundance of low-cost electricity. In 1998, North Dakota generated approximately 8.2 million megawatt-hours (MWh) of electricity, largely from coal-fired plants. Sales to North Dakota consumers totaled only 4.5 million MWh. In addition, the average retail cost of electricity in North Dakota was 5.7 cents per kWh in 1998. As a result of this surplus and the relatively low retail cost of service, North Dakota is a net exporter of electricity, selling approximately 50% to 60% of the electricity produced in North Dakota to markets outside the state. Keeping in mind that new electrical generation will be considered an export commodity to be sold outside the state, the transmission grid that serves to export electricity from North Dakota is at or close to its ability to serve new capacity. The markets for these resources are outside the state, and transmission access to the markets is a necessary condition for any large project. At the present time, technical assessments of the transmission network indicate that the ability to add and carry wind capacity outside of the state is limited. Identifying markets, securing long-term contracts, and obtaining a transmission path to export the power are all major steps that must be taken to develop new projects in North Dakota.

  12. 80 and 100 Meter Wind Energy Resource Potential for the United States (Poster)

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Flowers, L.; Brower, M.; Hale, E.; Phelps, B.

    2010-05-01T23:59:59.000Z

    Accurate information about the wind potential in each state is required for federal and state policy initiatives that will expand the use of wind energy in the United States. The National Renewable Energy Laboratory (NREL) and AWS Truewind have collaborated to produce the first comprehensive new state-level assessment of wind resource potential since 1993. The estimates are based on high-resolution maps of predicted mean annual wind speeds for the contiguous 48 states developed by AWS Truewind. These maps, at spatial resolution of 200 meters and heights of 60 to 100 meters, were created with a mesoscale-microscale modeling technique and adjusted to reduce errors through a bias-correction procedure involving data from more than 1,000 measurement masts. NREL used the capacity factor maps to estimate the wind energy potential capacity in megawatts for each state by capacity factor ranges. The purpose of this presentation is to (1) inform state and federal policy makers, regulators, developers, and other stakeholders on the availability of the new wind potential information that may influence development, (2) inform the audience of how the new information was derived, and (3) educate the audience on how the information should be interpreted in developing state and federal policy initiatives.

  13. Megawatts vs. Negawatts: how a little can do a lot

    SciTech Connect (OSTI)

    NONE

    2008-11-15T23:59:59.000Z

    In some quarters there is increased emphasis on overall reduction of energy usage from customers. One indication of the growing significance of negawatts is apparent at PJM Interconnection, where customers are encouraged to bid negative load into the wholesale market in direct competition with megawatts. This negative load, while not large in absolute terms relative to the 164 GW size of the PJM market, is nevertheless critical in introducing an element of price elasticity into what would otherwise be a virtually inelastic demand.

  14. Summary of Time Period-Based and Other Approximation Methods for Determining the Capacity Value of Wind and Solar in the United States: September 2010 - February 2012

    SciTech Connect (OSTI)

    Rogers, J.; Porter, K.

    2012-03-01T23:59:59.000Z

    This paper updates previous work that describes time period-based and other approximation methods for estimating the capacity value of wind power and extends it to include solar power. The paper summarizes various methods presented in utility integrated resource plans, regional transmission organization methodologies, regional stakeholder initiatives, regulatory proceedings, and academic and industry studies. Time period-based approximation methods typically measure the contribution of a wind or solar plant at the time of system peak - sometimes over a period of months or the average of multiple years.

  15. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    with the section on offshore wind; Donna Heimiller and Billyof 2012, global cumulative offshore wind capacity stood ats (DOEs) investments in offshore wind energy research and

  16. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    capacity), with 17% of all potential wind energy generationthat roughly 17% of potential wind energy generation withinexample, roughly 1% of potential wind energy output in 2009

  17. Current Wind Power Capacity

    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: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management Fermi Site OfficeCoursePublicCurrent ProjectsCurrentDOE

  18. WINDExchange: Potential Wind Capacity

    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: EnergyWyandanch,EagaAbout Printable VersionNews ThisPotential

  19. The new Wind Technology Test Center is the only facility in the nation capable of testing wind turbine blades up to

    E-Print Network [OSTI]

    systems by testing a blade from one of Clipper Windpower's 2.5-megawatt wind turbines. Photo by DerekThe new Wind Technology Test Center is the only facility in the nation capable of testing wind turbine blades up to 90 meters in length. A critical factor to wind turbine design and development

  20. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    estimates for installed capacity. Other methodological2008, yielding a cumulative installed capacity of small windTexas in cumulative installed capacity are Iowa, California,

  1. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    16% of global installed capacity in 2011, up slightly from82% of the cumulative installed capacity. Utility ownership2010, yielding a cumulative installed capacity of small wind

  2. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    forward gas market. 2009 Wind Technologies Market Report TheMarket Report Wind Penetration (Capacity Basis) Xcel-PSCo-2008 at 2006 Gasgas facilities run at even lower capacity factors. 2009 Wind Technologies Market Report

  3. Sandia Energy - Sandia Vertical-Axis Wind-Turbine Research Presented...

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

    study of aeroelastic stability of very large VAWTs that used an enhanced version of the Offshore Wind Energy Simu-lation Toolkit for VAWTs. Multiple-megawatt VAWT design...

  4. Bird Mortaility at the Altamont Pass Wind Resource Area: March 1998--September 2001

    SciTech Connect (OSTI)

    Smallwood, K. S.; Thelander, C. G.

    2005-09-01T23:59:59.000Z

    Over the past 15 years, research has shown that wind turbines in the Altamont Pass Wind Resource Area (APWRA) kill many birds, including raptors, which are protected by the Migratory Bird Treaty Act (MBTA), the Bald and Golden Eagle Protection Act, and/or state and federal Endangered Species Acts. Early research in the APWRA on avian mortality mainly attempted to identify the extent of the problem. In 1998, however, the National Renewable Energy Laboratory (NREL) initiated research to address the causal relationships between wind turbines and bird mortality. NREL funded a project by BioResource Consultants to perform this research directed at identifying and addressing the causes of mortality of various bird species from wind turbines in the APWRA.With 580 megawatts (MW) of installed wind turbine generating capacity in the APWRA, wind turbines there provide up to 1 billion kilowatt-hours (kWh) of emissions-free electricity annually. By identifying and implementing new methods and technologies to reduce or resolve bird mortality in the APWRA, power producers may be able to increase wind turbine electricity production at the site and apply similar mortality-reduction methods at other sites around the state and country.

  5. Land Use Requirements of Modern Wind Power Plants in the United States

    SciTech Connect (OSTI)

    Denholm, P.; Hand, M.; Jackson, M.; Ong, S.

    2009-08-01T23:59:59.000Z

    This report provides data and analysis of the land use associated with modern, large wind power plants (defined as greater than 20 megawatts (MW) and constructed after 2000). The analysis discusses standard land-use metrics as established in the life-cycle assessment literature, and then discusses their applicability to wind power plants. The report identifies two major 'classes' of wind plant land use: 1) direct impact (i.e., disturbed land due to physical infrastructure development), and 2) total area (i.e., land associated with the complete wind plant project). The analysis also provides data for each of these classes, derived from project applications, environmental impact statements, and other sources. It attempts to identify relationships among land use, wind plant configuration, and geography. The analysts evaluated 172 existing or proposed projects, which represents more than 26 GW of capacity. In addition to providing land-use data and summary statistics, they identify several limitations to the existing wind project area data sets, and suggest additional analysis that could aid in evaluating actual land use and impacts associated with deployment of wind energy.

  6. Conversion Topology for Reducing Failure Rate and Life-Cycle Costs of High-Power Wind Turbines

    E-Print Network [OSTI]

    Lipo, Thomas

    Drive Madison, WI 53706 #12;American Institute of Aeronautics and Astronautics 1 Conversion Topology;American Institute of Aeronautics and Astronautics 2 I. Introduction ARGE multi-megawatt wind turbines

  7. Virginia Offshore Wind Cost Reduction Through Innovation Study (VOWCRIS) (Poster)

    SciTech Connect (OSTI)

    Maples, B.; Campbell, J.; Arora, D.

    2014-10-01T23:59:59.000Z

    The VOWCRIS project is an integrated systems approach to the feasibility-level design, performance, and cost-of-energy estimate for a notional 600-megawatt offshore wind project using site characteristics that apply to the Wind Energy Areas of Virginia, Maryland and North Carolina.

  8. Modal Dynamics and Stability of Large Multi-megawatt Deepwater...

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

    and O&M, while maintaining or increasing energy production. A vertical-axis wind turbine (VAWT) rotor configuration offers a potential transformative technology solution...

  9. Numerical Investigation of a Wind Turbine Rotor with an aerodynamically redesigned hub-region

    E-Print Network [OSTI]

    Numerical Investigation of a Wind Turbine Rotor with an aerodynamically redesigned hub-region J methods on a redesigned modern Mega-Watt sized wind turbine, where the new design includes an increase of the blade in the vicinity of the wind turbine nacelle, to obtain an aerodynamically more efficient rotor

  10. Application of industrial heat pumps Proven applications in 2012 for Megawatt+

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Application of industrial heat pumps Proven applications in 2012 for Megawatt+ Heatpumps within a technical, commercial and sustainable framework Application of industrial heat pumps Proven applications Emerson Climate Technologies Core Offerings & Key Brands Residential Heating & Air Conditioning Commercial

  11. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    forward gas market. 2010 Wind Technologies Market Report 4.Market Report Entered queue in 2010 Total in queue at end of 2010 Nameplate Capacity (GW) Wind Natural Gas

  12. Economic Impacts of Wind Turbine Development in U.S. Counties

    E-Print Network [OSTI]

    J., Brown

    2012-01-01T23:59:59.000Z

    15 percent)). Cumulative wind turbine capacity installed inper capita income of wind turbine development (measured inour sample, cumulative wind turbine capacity on a per person

  13. Sandia National Laboratories: deep-water multiple-megawatt VAWT

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

    vertical-axis wind turbines (VAWTs). This analysis uses a 5 MW VAWT topside design envelope created by Sandia to compare floating platform options for each turbine in the...

  14. Perceived Socioeconomic Impacts of Wind Energy in West Texas

    E-Print Network [OSTI]

    Persons, Nicole D.

    2010-07-14T23:59:59.000Z

    Wind power is a fast growing alternative energy source. Since 2000, wind energy capacity has increased 24 percent per year with Texas leading the U.S. in installed wind turbine capacity. Most socioeconomic research in wind energy has focused...

  15. Perceived Socioeconomic Impacts of Wind Energy in West Texas

    E-Print Network [OSTI]

    Persons, Nicole D.

    2010-07-14T23:59:59.000Z

    Wind power is a fast growing alternative energy source. Since 2000, wind energy capacity has increased 24 percent per year with Texas leading the U.S. in installed wind turbine capacity. Most socioeconomic research in wind energy has focused...

  16. Renewable Energy RFPs: Solicitation Response and Wind Contract Prices

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2005-01-01T23:59:59.000Z

    Energy RFPs: Solicitation Response and Wind Contract Pricesenergy capacity (especially wind). Though detailed information on bid prices

  17. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    to natural gas. 2008 Wind Technologies Market Report 1% windforward gas market. 2008 Wind Technologies Market Report 4.Market Report Wind Penetration (Capacity Basis) Arizona Public Service Avista Utilities California RPS Idaho Power Xcel-PSCo-2008 at 2006 Gas

  18. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Technologies Market Report Wind Gas Coal Other Renewablethe forward gas market. 2011 Wind Technologies Market ReportMarket Report Nameplate Capacity (GW) Entered queue in 2011 Total in queue at end of 2011 Wind Natural Gas

  19. Utilities in California and Washington Receive Honors for Innovative...

    Office of Environmental Management (EM)

    more than 710 megawatts of installed wind capacity. By carefully structuring the power purchase agreements across five wind projects, Southern California secured energy...

  20. RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01T23:59:59.000Z

    Coincidence of Demand and Wind Resource Diurnal PowerOutput Variations for Three Wind Regimes List of TablesCAPACITY CREDIT FOR WIND ARRAYS: THE PROBLEM . . . . . . .

  1. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    2008, yielding a cumulative installed capacity of small windTexas in cumulative installed capacity are Iowa, California,Owner Type Cumulative Installed Capacity (GW) IOU: 1,057 MW

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

    Broader source: Energy.gov [DOE]

    DOEs 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 Westerns existing Wray Substation in Yuma County, Colorado.

  3. DOE to Develop Multi-Megawatt Offshore Wind Turbine with General Electric |

    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: Since the YouTube| Department ofDepartment of EnergyCustomIndoorVehiclesof

  4. DOE to Develop Multi-Megawatt Offshore Wind Turbine with General Electric |

    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: Theof"WaveInteractionsMaterials |Production

  5. MARS15 study of the Energy Production Demonstrator Model for Megawatt

    E-Print Network [OSTI]

    McDonald, Kirk

    MARS15 study of the Energy Production Demonstrator Model for Megawatt proton beams in the 0.5 120 Targetry Workshop HPT5, Fermilab #12;Energy Production Demonstrator MARS15 Model Solid targets R= 60 cm Energy Production/Materials Testing LAQGSM/CEM generators were usedU-nat, 3 GeV, Energy deposition, Ge

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

    Broader source: Energy.gov [DOE]

    DOEs 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 Westerns existing transmission line at that location.

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

    Broader source: Energy.gov [DOE]

    DOEs 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 Westerns existing Archer-Sidney 115-kV Transmission Line in Kimball County, Nebraska.

  8. EA-1955: Campbell County Wind Farm, Campbell County, South Dakota

    Broader source: Energy.gov [DOE]

    DOEs 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 Westerns existing transmission line at that location.

  9. Economic Impacts of Wind Turbine Development in U.S. Counties

    SciTech Connect (OSTI)

    J., Brown; B., Hoen; E., Lantz; J., Pender; R., Wiser

    2011-07-25T23:59:59.000Z

    The objective is to address the research question using post-project construction, county-level data, and econometric evaluation methods. Wind energy is expanding rapidly in the United States: Over the last 4 years, wind power has contributed approximately 35 percent of all new electric power capacity. Wind power plants are often developed in rural areas where local economic development impacts from the installation are projected, including land lease and property tax payments and employment growth during plant construction and operation. Wind energy represented 2.3 percent of the U.S. electricity supply in 2010, but studies show that penetrations of at least 20 percent are feasible. Several studies have used input-output models to predict direct, indirect, and induced economic development impacts. These analyses have often been completed prior to project construction. Available studies have not yet investigated the economic development impacts of wind development at the county level using post-construction econometric evaluation methods. Analysis of county-level impacts is limited. However, previous county-level analyses have estimated operation-period employment at 0.2 to 0.6 jobs per megawatt (MW) of power installed and earnings at $9,000/MW to $50,000/MW. We find statistically significant evidence of positive impacts of wind development on county-level per capita income from the OLS and spatial lag models when they are applied to the full set of wind and non-wind counties. The total impact on annual per capita income of wind turbine development (measured in MW per capita) in the spatial lag model was $21,604 per MW. This estimate is within the range of values estimated in the literature using input-output models. OLS results for the wind-only counties and matched samples are similar in magnitude, but are not statistically significant at the 10-percent level. We find a statistically significant impact of wind development on employment in the OLS analysis for wind counties only, but not in the other models. Our estimates of employment impacts are not precise enough to assess the validity of employment impacts from input-output models applied in advance of wind energy project construction. The analysis provides empirical evidence of positive income effects at the county level from cumulative wind turbine development, consistent with the range of impacts estimated using input-output models. Employment impacts are less clear.

  10. Evaluation of the megawatt demand setter for load-follow operation of C-E's SYSTEM 80+

    SciTech Connect (OSTI)

    Choi, J.I.; Scarola, K.

    1989-01-01T23:59:59.000Z

    The Megawatt Demand Setter (MDS) is a digital supervisory control system that automatically assures that the turbine load is consistent with plant operating limits for critical parameters. The MDS is designed to avert plant trips by limiting the load demand during load transients and by reducing the turbine load if plant operating limits are approached or violated. The MDS, devised and patented by Combustion Engineering, Inc., in the 1970s for automatic load dispatching, has been installed at two plants. Those plants have since been operated in a base-load capacity, however, and have not needed to implement the load-follow capabilities of the MDS. As the percentage of electricity generated by nuclear units increases, the need to implement such load-follow capabilities will also increase. Combustion Engineering intends to incorporate improved load-follow capability in its SYSTEM 80+ nuclear steam supply system (NSSS) design. One aspect of this will be incorporation of the MDS in the design of the NUPLEX 80+ advanced control complex for system 80+. This paper presents an evaluation of two major design features of the MDS for load-follow operation based on simulation of SYSTEM 80+ plant responses.

  11. Fourth Annual Progress Report on the Electrofluid Dynamic Wind Generator: Final Report for the Period 1 April 1979 - 31 August 1980

    SciTech Connect (OSTI)

    Minardi, J. E.; Lawson, M. O.; Wattendorf, F. L.

    1981-08-01T23:59:59.000Z

    Conventional wind energy systems are limited in wind turbine diameter by allowable rotor stresses at power levels of several megawatts. In contrast, the Electrofluid Dynamic (EFD) wind driven generator has no fundamental limits on cross sectional area. It is a direct energy conversion device which employs unipolar charged particles transported by the wind against a retarding voltage gradient to a high potential. As no moving parts are exposed to the wind, extremely large power units may be feasible.

  12. POST-CONSTRUCTION AVIAN AND BAT IMPACT ASSESSMENT OF THE UNIVERSITY OF DELAWARE WIND TURBINE IN LEWES, DE

    E-Print Network [OSTI]

    Firestone, Jeremy

    POST-CONSTRUCTION AVIAN AND BAT IMPACT ASSESSMENT OF THE UNIVERSITY OF DELAWARE WIND TURBINE-831-1306 In May 2010, a Gamesa G90 2.0 megawatt wind turbine was erected in Lewes, DE through a collaborative Developments, Inc. The turbine was commissioned and began generating electricity in June 2010. The turbine has

  13. 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.

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

    E-Print Network [OSTI]

    Wiser, Ryan H

    2008-01-01T23:59:59.000Z

    Modeling Utility-Scale Wind Power Plants Part 2: Capac- ityas the capacity factor of the wind power plant during the 10Wind Plant Integration: Costs, Status, and Issues," IEEE Power &

  15. CONGRESSIONAL BRIEFING Offshore Wind

    E-Print Network [OSTI]

    Firestone, Jeremy

    CONGRESSIONAL BRIEFING Offshore Wind Lessons Learned from Europe: Reducing Costs and Creating Jobs Thursday, June 12, 2014 Capitol Visitors Center, Room SVC 215 Enough offshore wind capacity to power six the past decade. What has Europe learned that is applicable to a U.S. effort to deploy offshore wind off

  16. 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

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

    SciTech Connect (OSTI)

    None

    1980-12-01T23:59:59.000Z

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

  18. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    1992). Capacity credit of wind power in the Netherlands. modeling as a tool for wind resource assessment andBurton, T. , et al. (2001). Wind Energy Handbook, John

  19. Analyzing the Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    7 2.2.3 Wind Farm Production1. Rated Capacity of Wind Farms for which Monthly Productionpower from potential wind farm locations in California and

  20. 20% Wind Energy by 2030

    SciTech Connect (OSTI)

    Not Available

    2008-07-01T23:59:59.000Z

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

  1. Wind Energy Conversion Systems (Minnesota)

    Broader source: Energy.gov [DOE]

    This section distinguishes between large (capacity 5,000 kW or more) and small (capacity of less than 5,000 kW) wind energy conversion systems (WECS), and regulates the siting of large conversion...

  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

    Chinas activities alone could nearly double global capacity by 2020. The Global Wind Energy Council deployment forecast

  3. National Wind Technology Center (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-12-01T23:59:59.000Z

    This overview fact sheet is one in a series of information fact sheets for the National Wind Technology Center (NWTC). Wind energy is one of the fastest growing electricity generation sources in the world. NREL's National Wind Technology Center (NWTC), the nation's premier wind energy technology research facility, fosters innovative wind energy technologies in land-based and offshore wind through its research and testing facilities and extends these capabilities to marine hydrokinetic water power. Research and testing conducted at the NWTC offers specialized facilities and personnel and provides technical support critical to the development of advanced wind energy systems. From the base of a system's tower to the tips of its blades, NREL researchers work side-by-side with wind industry partners to increase system reliability and reduce wind energy costs. The NWTC's centrally located research and test facilities at the foot of the Colorado Rockies experience diverse and robust wind patterns ideal for testing. The NWTC tests wind turbine components, complete wind energy systems and prototypes from 400 watts to multiple megawatts in power rating.

  4. 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

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

    Broader source: Energy.gov [DOE]

    This EIS analyzes BPAs 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 developers proposed Maiden Wind Farm.

  6. 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.

  7. 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 DOEs Western Area Power Administrations existing Fort Thompson Substation in Buffalo County, South Dakota.

  8. Evaluation of Wind Shear Patterns at Midwest Wind Energy Facilities: Preprint

    SciTech Connect (OSTI)

    Smith, K.; Randall, G.; Malcolm, D.; Kelley, N.; Smith, B.

    2002-05-01T23:59:59.000Z

    The U.S. Department of Energy-Electric Power Research Institute (DOE-EPRI) Wind Turbine Verification Program (TVP) has included several wind energy facilities in the Midwestern United States. At several of these projects, a strong diurnal shear pattern has been observed. During the day, low and sometimes negative shear has been measured. During night hours, very high positive shear is frequently observed. These high nighttime shear values are of concern due to the potential for high stresses across the rotor. The resulting loads on turbine components could result in failures. Conversely, the effects of high nighttime wind shear could benefit wind generated energy production in the Midwest by providing a source of greater hub-height wind speeds, particularly for multi-megawatt turbines that utilize tall towers. This paper presents an overview of the observed wind shear at each of the Midwest TVP projects, focusing on diurnal patterns and the frequency of very high nighttime shear at the sites. Turbine fault incidence is examined to determine the presence or absence of a correlation to periods of high shear. Implications of shear-related failures are discussed for other Midwest projects that use megawatt-scale turbines. In addition, this paper discusses the importance of accurate shear estimates for project development.

  9. Next-Generation Wind Technology | Department of Energy

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

    and reliability of next-generation wind technologies while lowering the cost of wind energy. The program's research efforts have helped to increase the average capacity...

  10. Effects of Changing Atmospheric Conditions on Wind Turbine Performance (Poster)

    SciTech Connect (OSTI)

    Clifton, A.

    2012-12-01T23:59:59.000Z

    Multi-megawatt, utility-scale wind turbines operate in turbulent and dynamic winds that impact turbine performance in ways that are gradually becoming better understood. This poster presents a study made using a turbulent flow field simulator (TurbSim) and a Turbine aeroelastic simulator (FAST) of the response of a generic 1.5 MW wind turbine to changing inflow. The turbine power output is found to be most sensitive to wind speed and turbulence intensity, but the relationship depends on the wind speed with respect to the turbine's rated wind speed. Shear is found to be poorly correlated to power. A machine learning method called 'regression trees' is used to create a simple model of turbine performance that could be used as part of the wind resource assessment process. This study has used simple flow fields and should be extended to more complex flows, and validated with field observations.

  11. Wind Tunnel Building - 3

    E-Print Network [OSTI]

    Unknown

    2005-06-30T23:59:59.000Z

    1 Energy Systems Laboratory 1 A METHODOLOGY FOR CALCULATING EMISSIONS REDUCTIONS FROM RENEWABLE ENERGY PROGRAMS AND ITS APPLICATION TO THE WIND FARMS IN THE TEXAS ERCOT REGION Zi Liu, Jeff Haberl, Juan-Carlos Baltazar, Kris Subbarao, Charles... on Sweetwater I Wind Farm Capacity Factor Analysis Application to All Wind Farms Uncertainty Analysis Emissions Reduction Summary Energy Systems Laboratory 3 SUMMARYEMISSIONS REDUCTION UNCERTAINTY ANALYSIS APPLICATIONMETHODOLOGYINTRODUCTION Background...

  12. The Cost of Transmission for Wind Energy: A Review of Transmission Planning Studies

    E-Print Network [OSTI]

    Mills, Andrew D.

    2009-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and PerformanceTransmission ($/kW-wind) Unit Cost (Capacity-weighted) Windof Transmission ($/MWh- wind) Unit Cost (Capacity-weighted)

  13. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    not represent wind energy generation costs, and generationXcel-UWIG We Energies Wind Capacity Penetration Cost ($/MWh)wind penetration within the state, based on energy production (31% based on capacity), would cost

  14. Assessment of wind power predictability as a decision factor in the investment phase of wind farms

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Assessment of wind power predictability as a decision factor in the investment phase of wind farms on market revenue of, respectively, the predictability and the capacity factor of a wind farm or a cluster of wind farms. This is done through a real-life case study in West Denmark, including wind farm production

  15. 2013 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.; Barbose, G.; Darghouth, N.; Hoen, B.; Mills, A.; Weaver, S.; Porter, K.; Buckley, M.; Oteri, F.; Tegen, S.

    2014-08-01T23:59:59.000Z

    This annual report provides a detailed overview of developments and trends in the U.S. wind power market, with a particular focus on 2013. This 2013 edition updates data presented in previous editions while highlighting key trends and important new developments. The report includes an overview of key installation-related trends; trends in wind power capacity growth; how that growth compares to other countries and generation sources; the amount and percentage of wind energy in individual states; the status of offshore wind power development and the quantity of proposed wind power capacity in various interconnection queues in the United States.

  16. Presented at Solar World Congress, Beijing, September 18 22 2007 PARABOLOIDAL DISH SOLAR CONCENTRATORS FOR MULTI-MEGAWATT

    E-Print Network [OSTI]

    ,AUSTRALIA AUSTRALIA keith.lovegrove@anu.edu.au ABSTRACT Large scale solar thermal electric power generation CONCENTRATORS FOR MULTI-MEGAWATT POWER GENERATION Keith Lovegrove A Zawadski and J Coventy Department of Engineering, Wizard Power Pty Ltd Australian National University, Barry Drive Canberra ACT 0200 Canberra ACT

  17. Lessons from Iowa : development of a 270 megawatt compressed air energy storage project in midwest Independent System Operator : a study for the DOE Energy Storage Systems Program.

    SciTech Connect (OSTI)

    Holst, Kent (Iowa Stored Energy Plant Agency, Traer, IA); Huff, Georgianne; Schulte, Robert H. (Schulte Associates LLC, Northfield, MN); Critelli, Nicholas (Critelli Law Office PC, Des Moines, IA)

    2012-01-01T23:59:59.000Z

    The Iowa Stored Energy Park was an innovative, 270 Megawatt, $400 million compressed air energy storage (CAES) project proposed for in-service near Des Moines, Iowa, in 2015. After eight years in development the project was terminated because of site geological limitations. However, much was learned in the development process regarding what it takes to do a utility-scale, bulk energy storage facility and coordinate it with regional renewable wind energy resources in an Independent System Operator (ISO) marketplace. Lessons include the costs and long-term economics of a CAES facility compared to conventional natural gas-fired generation alternatives; market, legislative, and contract issues related to enabling energy storage in an ISO market; the importance of due diligence in project management; and community relations and marketing for siting of large energy projects. Although many of the lessons relate to CAES applications in particular, most of the lessons learned are independent of site location or geology, or even the particular energy storage technology involved.

  18. 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.

  19. Characterizing Inflow Conditions Across the Rotor Disk of a Utility-Scale Wind Turbine (Poster)

    SciTech Connect (OSTI)

    Clifton, A.; Lundquist, J. K.; Kelley, N.; Scott, G.; Jager, D.; Schreck, S.

    2012-01-01T23:59:59.000Z

    Multi-megawatt utility-scale wind turbines operate in a turbulent, thermally-driven atmosphere where wind speed and air temperature vary with height. Turbines convert the wind's momentum into electrical power, and so changes in the atmosphere across the rotor disk influence the power produced by the turbine. To characterize the inflow into utility scale turbines at the National Wind Technology Center (NWTC) near Boulder, Colorado, NREL recently built two 135-meter inflow monitoring towers. This poster introduces the towers and the measurements that are made, showing some of the data obtained in the first few months of operation in 2011.

  20. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    should eventually help wind power regain the downward priceModern Energy Review] Wind Power Price Trends in the Unitedled the world in adding new wind power capacity in 2008, and

  1. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    adds 18.9 GW of new wind power capacity in 2010. ? GlobalEnd Challenged Subsidies in Wind Power Case. ? Internationalemergence in the global wind power industry. ? Ph. D.

  2. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    woes hamper China wind farms push for profitability. ?China adds 18.9 GW of new wind power capacity in 2010. ?Global Wind Energy Council. 6 April 2011. http://

  3. AWEA State Wind Energy Forum - Michigan | Department of Energy

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

    State Wind Energy Forum - Michigan AWEA State Wind Energy Forum - Michigan January 20, 2015 8:00AM to 5:00PM EST Lansing, MI Michigan has 988 MW of installed wind capacity,...

  4. 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

    in terms of new installed capacity, followed by Europeanat their original installed capacity), and are therefore20 GW of new wind capacity installed in 2007. Although

  5. 2009 WIND TURBINE IMPACT STUDY APPRAISAL GROUP ONE 9/9/2009 WIND TURBINE IMPACT STUDY

    E-Print Network [OSTI]

    Fond Du; Lac Counties Wisconsin

    2009-01-01T23:59:59.000Z

    This is a study of the impact that wind turbines have on residential property value. The wind turbines that are the focus of this study are the larger turbines being approximately 389ft tall and producing 1.0+ megawatts each, similar to the one pictured to the right. The study has been broken into three component parts, each looking at the value impact of the wind turbines from a different perspective. The three parts are: (1) a literature study, which reviews and summarizes what has been published on this matter found in the general media; (2) an opinion survey, which was given to area Realtors to learn their opinions on the impact of wind turbines in

  6. The Wind Integration National Dataset (WIND) toolkit (Presentation)

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01T23:59:59.000Z

    Regional wind integration studies require detailed wind power output data at many locations to perform simulations of how the power system will operate under high penetration scenarios. The wind datasets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as being time synchronized with available load profiles.As described in this presentation, the WIND Toolkit fulfills these requirements by providing a state-of-the-art national (US) wind resource, power production and forecast dataset.

  7. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    MISO Transmission Expansion Plan 2012 megawatt megawatt-hour North American Electric ReliabilityMISO), New York ISO (NYISO), ISO-New England (ISO-NE), California ISO (CAISO), Electric Reliability

  8. Sixth Northwest Conservation and Electric Power Plan Chapter 12: Capacity and Flexibility Resources

    E-Print Network [OSTI]

    ............................................................................................ 6 Flexibility Issues Raised By Wind Generation system capacity and flexibility a new priority. Wind generation needs back-up, flexible resources new wind generation with a more constrained hydrosystem, there are solutions. The first step

  9. Articles about Distributed Wind | Department of Energy

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

    and is poised for future growth that could double the capacity of renewable electricity generation from resources like wind power by 2020. March 31, 2014 PNNL Reports Distributed...

  10. 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.

  11. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    et al. (1998). Wind Generation in the Future Competitivegeneration system, as well as computational resources that would make it prohibitive for estimating the capacity value of wind

  12. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    times the current installed capacity) will be about 40,000largest portion of RE installed capacity in the world, withleads all states in installed wind capacity would yield a

  13. Wind Resource Assessment of Gujarat (India)

    SciTech Connect (OSTI)

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

    2014-07-01T23:59:59.000Z

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

  14. A Megawatt-level 28z GHz Heating System For The National Spherical Torus Experiment Upgrade

    SciTech Connect (OSTI)

    Taylor, Gary

    2014-04-01T23:59:59.000Z

    The National Spherical Torus Experiment Upgrade (NSTX-U) will operate at axial toroidal fields of < 1 T and plasma currents, Ip < 2 MA. The development of non-inductive (NI) plasmas is a major long-term research goal for NSTX-U. Time dependent numerical simulations of 28 GHz electron cyclotron (EC) heating of low density NI start-up plasmas generated by Coaxial Helicity Injection (CHI) in NSTX-U predict a significant and rapid increase of the central electron temperature (Te(0)) before the plasma becomes overdense. The increased Te(0) will significantly reduce the Ip decay rate of CHI plasmas, allowing the coupling of fast wave heating and neutral beam injection. A megawatt-level, 28 GHz electron heating system is planned for heating NI start-up plasmas in NSTX-U. In addition to EC heating of CHI start-up discharges, this system will be used for electron Bernstein wave (EBW) plasma start-up, and eventually for EBW heating and current drive during the Ip flattop.

  15. A Conceptual Multi-Megawatt System Based on a Tungsten CERMET Reactor

    SciTech Connect (OSTI)

    Jonathan A. Webb; Brian Gross

    2011-02-01T23:59:59.000Z

    Abstract. A conceptual reactor system to support Multi-Megawatt Nuclear Electric Propulsion is investigated within this paper. The reactor system consists of a helium cooled Tungsten-UN fission core, surrounded by a beryllium neutron reflector and 13 B4C control drums coupled to a high temperature Brayton power conversion system. Excess heat is rejected via carbon reinforced heat pipe radiators and the gamma and neutron flux is attenuated via segmented shielding consisting of lithium hydride and tungsten layers. Turbine inlet temperatures ranging from 1300 K to 1500 K are investigated for their effects on specific powers and net electrical outputs ranging from 1 MW to 100 MW. The reactor system is estimated to have a mass, which ranges from 15 Mt at 1 MWe and a turbine inlet temperature of 1500 K to 1200 Mt at 100 MWe and a turbine temperature of 1300 K. The reactor systems specific mass ranges from 32 kg/kWe at a turbine inlet temperature of 1300 K and a power of 1 MWe to 9.5 kg/kW at a turbine temperature of 1500 K and a power of 100 MWe.

  16. 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.

  17. 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.

  18. 2006 INTEGRATED ENERGY POLICY REPORT UPDATE

    E-Print Network [OSTI]

    electricity. By comparison, since 2002 more than 1,500 MW of new wind capacity has been installed in Texas,936 megawatts of renewable capacity. However, only 242 megawatts of those renewable contracts represent new generating capacity over the next four years beyond what is already under contract. Chapter 2, "Midcourse

  19. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01T23:59:59.000Z

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  20. Solar and Wind Technologies for Hydrogen Production: Report to Congress Solar and Wind Technologies

    E-Print Network [OSTI]

    .........................5 1.4 Potential Capacity for Hydrogen Production from Conventional Electrolysis Using Wind and SolarSolar and Wind Technologies for Hydrogen Production: Report to Congress Solar and Wind Technologies For Hydrogen Production Report to Congress December 2005 (ESECS EE-3060) #12;Solar and Wind Technologies

  1. Illinois Wind Workers Group

    SciTech Connect (OSTI)

    David G. Loomis

    2012-05-28T23:59:59.000Z

    The Illinois Wind Working Group (IWWG) was founded in 2006 with about 15 members. It has grown to over 200 members today representing all aspects of the wind industry across the State of Illinois. In 2008, the IWWG developed a strategic plan to give direction to the group and its activities. The strategic plan identifies ways to address critical market barriers to the further penetration of wind. The key to addressing these market barriers is public education and outreach. Since Illinois has a restructured electricity market, utilities no longer have a strong control over the addition of new capacity within the state. Instead, market acceptance depends on willing landowners to lease land and willing county officials to site wind farms. Many times these groups are uninformed about the benefits of wind energy and unfamiliar with the process. Therefore, many of the project objectives focus on conferences, forum, databases and research that will allow these stakeholders to make well-educated decisions.

  2. WINDExchange: U.S. Installed Wind Capacity

    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: EnergyWyandanch,EagaAbout Printable

  3. 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).

  4. MIXED MODE DELAMINATION OF GLASS FIBER/POLYMER MATRIX COMPOSITE MATERIALS

    E-Print Network [OSTI]

    .........................................................................................................1 DEMANDS FOR MEGAWATT WIND TURBINE BLADES ....................................................1 2

  5. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    Peinke, Joachim

    2014-01-01T23:59:59.000Z

    loads from the wind inflow through rotor aerodynamics, drive train and power electronics is stillWIND ENERGY Wind Energ. (2014) Published online in Wiley Online Library (wileyonlinelibrary wind inflow conditions M. R. Luhur, J. Peinke, J. Schneemann and M. Wchter ForWind-Center for Wind

  6. 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.

  7. Tracking Progress Last updated 10/7/2013 Installed Capacity 1

    E-Print Network [OSTI]

    Tracking Progress Last updated 10/7/2013 Installed Capacity 1 Installed Capacity The capacities 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Capacity (MW) Wind Solar Small Hydro Large Hydro Reporting #12;Tracking Progress Last updated 10/7/2013 Installed Capacity 2 Table 1 provides the data

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

    SciTech Connect (OSTI)

    Ibanez, E.; Heaney, M.

    2014-10-01T23:59:59.000Z

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

  9. Forecastability as a Design Criterion in Wind Resource Assessment: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01T23:59:59.000Z

    This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

  10. A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS

    E-Print Network [OSTI]

    Mills, Andrew; Wiser, Ryan; Porter, Kevin

    2007-01-01T23:59:59.000Z

    the full capacity of the wind power plant at all times. Theto wind projects than to conventional power plants. Thecoal plants) can be leveraged to efficiently move wind power

  11. Annual Report on U.S. Wind Power Installation, Cost, and Performance Trends: 2006

    E-Print Network [OSTI]

    2008-01-01T23:59:59.000Z

    Annual Report on U.S. Wind Power Installation, Cost, and3 U.S. Wind Power Capacity Increased by 27% inAre Significant. . . . . . . 9 Wind Power Prices Are Up in

  12. Ex post analysis of economic impacts from wind power development in U.S. counties

    E-Print Network [OSTI]

    Brown, Jason P

    2014-01-01T23:59:59.000Z

    2011) Figure 1. Location of Wind Power Development in theUnited States Figure 2: U.S. Wind Resource Map (Source:Resource Potential for Wind Capacity (Power Class 3-7, MW)

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

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01T23:59:59.000Z

    more than 600 GW of potential wind capacity is available forafter 2006 (No New Wind) to quantify the potential costs andThe potential benefits associated with using wind energy to

  14. Wind power development -Status and perspectives

    E-Print Network [OSTI]

    countries together covering ap- prox. 80% of the growth in installed wind turbine capacity world wide years the global in- stalled capacity has increased almost threefold, from approx. 2.3 GW in 1991 has increased - in 1995 and 1996 global capacity has increased by approx. 1.3 GW annually or more than

  15. 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.

  16. Forecasting of wind speed using wavelets analysis and cascade-correlation neural networks

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    such as sunlight, wind, rain or geothermal heat. Wind energy is actually one of the fastest-growing forms, that is why its wind energy market has been progressing steadily in recent years. While in 2000, there were only 30 MW of wind generating capacity in France, the total installed capacity at the end of 2007

  17. EIS-0446: Department of Energy Loan Guarantee to AES for the Proposed Daggett Ridge Wind Farm, San Bernardino County, California

    Broader source: Energy.gov [DOE]

    This EIS, prepared by the Department of the Interior (Bureau of Land Management [BLM], Barstow Field Office) evaluates the environmental impacts of a proposed 82.5-megawatt (MW) Daggett Ridge Wind Farm project on land managed by the BLM located 11 miles southwest of Barstow, California, and five miles southwest of Daggett, California. DOE, a cooperating agency, is considering the impacts of its proposal to issue a Federal loan guarantee to AES Wind Generation, Inc., to support the construction of the proposed wind project. This EIS has been cancelled.

  18. Airborne Wind Turbine

    SciTech Connect (OSTI)

    None

    2010-09-01T23:59:59.000Z

    Broad Funding Opportunity Announcement Project: Makani Power is developing an Airborne Wind Turbine (AWT) that eliminates 90% of the mass of a conventional wind turbine and accesses a stronger, more consistent wind at altitudes of near 1,000 feet. At these altitudes, 85% of the country can offer viable wind resources compared to only 15% accessible with current technology. Additionally, the Makani Power wing can be economically deployed in deep offshore waters, opening up a resource which is 4 times greater than the entire U.S. electrical generation capacity. Makani Power has demonstrated the core technology, including autonomous launch, land, and power generation with an 8 meter wingspan, 20 kW prototype. At commercial scale, Makani Power aims to develop a 600 kW, 28 meter wingspan product capable of delivering energy at an unsubsidized cost competitive with coal, the current benchmark for low-cost power.

  19. 4/23/08 2:28 PMhttp://news.nationalgeographic.com/news/pf/19339168.html Page 1 of 2

    E-Print Network [OSTI]

    Provancher, William

    as the world leader in installed capacity to spin the wind into electricity. Globally, wind-power capacity rose currently leads the world in installed capacity--22,247 megawatts, or about 24 percent of global capacity, the country will likely pass Germany in installed capacity within two years, Sawin said. The tax credit is set

  20. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    Hallgren, Willow

    Australia is considered to have very good wind resources, and the utilization of this renewable energy resource is increasing. Wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to account ...

  1. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    Hallgren, Willow

    Australias wind resource is considered to be very good, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to ...

  2. Energy Department Announces New Regional Approach to Wind Energy...

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

    Energy Initiates New Outreach Efforts to Address a Changing Wind Industry This map shows wind potential capacity for turbine hub heights at 140 meters. Mapping the Frontier of New...

  3. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    kilowatt-hour Midwest Independent System Operator megawattPJM), Midwest Independent System Operator (MISO), New Yorkin 2009. The Midwest Independent System Operator (MISO) (net

  4. Large-Eddy Simulation of Wind-Plant Aerodynamics: Preprint

    SciTech Connect (OSTI)

    Churchfield, M. J.; Lee, S.; Moriarty, P. J.; Martinez, L. A.; Leonardi, S.; Vijayakumar, G.; Brasseur, J. G.

    2012-01-01T23:59:59.000Z

    In this work, we present results of a large-eddy simulation of the 48 multi-megawatt turbines composing the Lillgrund wind plant. Turbulent inflow wind is created by performing an atmospheric boundary layer precursor simulation and turbines are modeled using a rotating, variable-speed actuator line representation. The motivation for this work is that few others have done wind plant large-eddy simulations with a substantial number of turbines, and the methods for carrying out the simulations are varied. We wish to draw upon the strengths of the existing simulations and our growing atmospheric large-eddy simulation capability to create a sound methodology for performing this type of simulation. We have used the OpenFOAM CFD toolbox to create our solver.

  5. Exploring the Wind Manufacturing Map | Department of Energy

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

    Office of Energy Efficiency and Renewable Energy. Addthis Related Articles This map shows wind potential capacity for turbine hub heights at 140 meters. Mapping the Frontier of New...

  6. Commonwealth Wind Commercial Wind Program

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program Commercial Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers site assessment grants of services, feasibility study grants, a...

  7. A multi-reactor configuration for multi-megawatt spacecraft power supplies

    E-Print Network [OSTI]

    George, Jeffrey Alan

    1989-01-01T23:59:59.000Z

    capacity may be required for round trip missions. Mission analyses were carried out for an unmanned Mars Cargo Mission and compared with both single reactor and conventional chemical rocket concepts. Interplanetary trajectories utilizing throttled... ABSTRACT ACKNOWLEDGEMENT TABLE OF CONTENTS LIST OF FIGURES LIST OF TABLES CHAPTER I. INTRODUCTION II. MULTI-REACTOR CONFIGURATIONS III. THE HYDRA MULTI-REACTOR CONFIGURATION IV. HYDRA SYSTEM ANALYSIS V, MARS CARGO MISSION ANALYSIS VI, CONCLUSIONS...

  8. Surpassing Expectations: State of the U.S. Wind Power Market

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    2%. Cumulative Installed Capacity (GW) Community PubliclyRECs). Cumulative Installed Capacity (GW) Marketer: 1,052 MWof 4,446 MW of wind capacity installed by the end of the

  9. PARABOLOIDAL DISH SOLAR CONCENTRATORS FOR MULTI-MEGAWATT POWER GENERATION Keith Lovegrove , Tui Taumoefolau, Sawat Paitoonsurikarn, Piya Siangsukone, Greg Burgess, Andreas Luzzi,

    E-Print Network [OSTI]

    PARABOLOIDAL DISH SOLAR CONCENTRATORS FOR MULTI-MEGAWATT POWER GENERATION Keith Lovegrove , Tui, Wie Joe and Geoff Major. Centre for Sustainable Energy Systems, Department of Engineering, Australian National University, Canberra ACT 0200, AUSTRALIA ph:+61 02 6125 8299 fax: +61 02 6125 0506 E-mail: keith

  10. 851 S.W. Sixth Avenue, Suite 1100 Portland, Oregon 97204-1348

    E-Print Network [OSTI]

    showing For 6,000 megawatts (MW) of installed wind capacity (close to current status), analysis indicates system simulation results is still narrowly focused; in that wind capacity was added without load growth focused; in that wind capacity was added without load growth and no SW s assumed. However, some

  11. Representation of the Solar Capacity Value in the ReEDS Capacity Expansion Model: Preprint

    SciTech Connect (OSTI)

    Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

    2014-08-01T23:59:59.000Z

    An important emerging issue is the estimation of renewables' contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to resource variability. Reliability-based methods, particularly, effective load-carrying capacity (ELCC), are considered to be the most robust techniques for addressing this resource variability. The Regional Energy Deployment System (ReEDS) capacity expansion model and other long-term electricity capacity planning models require an approach to estimating CV for generalized PV and system configurations with low computational and data requirements. In this paper we validate treatment of solar photovoltaic (PV) capacity value by ReEDS capacity expansion model by comparing model results to literature for a range of energy penetration levels. Results from the ReEDS model are found to compare well with both comparisons--despite not being resolved at an hourly scale.

  12. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    in the near wake. In conclusion, WiTTS performs satisfactorily in the rotor region of wind turbine wakes under neutral stability. Copyright 2014 John Wiley & Sons, Ltd. KEYWORDS wind turbine wake; wake model; self in wind farms along several rows and columns. Because wind turbines generate wakes that propagate downwind

  13. 66 APRIL | 2010 The FuTure oF Wind Turbine

    E-Print Network [OSTI]

    Kusiak, Andrew

    in the form of large-scale wind farms, wind energy cooperatives, wind turbines owned by indi- vidual investors66 APRIL | 2010 The FuTure oF Wind Turbine diagnosTics Wind energy is undergoing expansion, and multinational exploration of remote sites and offshore locations. Despite the in- creasing rated capacity

  14. Why Are We Talking About Capacity Markets? (Presentation)

    SciTech Connect (OSTI)

    Milligan, M.

    2011-06-01T23:59:59.000Z

    Capacity markets represent a new and novel way to achieve greater economic use of variable generation assets such as wind and solar, and this concept is discussed in this presentation.

  15. 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 projects capital cost and capacity

  16. 2012-2013_Wind_Data.xls

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

    of 24 MW would be counted as 24, no matter when in the hour the action occurred.) Installed Wind Capacity (as of the end of each month) Curtail Events (INC) 4516 Limit...

  17. Harvesting the wind

    SciTech Connect (OSTI)

    Kahn, R.D.

    1984-11-01T23:59:59.000Z

    This paper describes the wind farms in the Altamont Pass, the Tehachapi Mountains, and the San Gorgonio pass, all in California. The threat by Congress to eliminate federal tax credits could put the fledgling industry in the doldrums. The author shows how the selection of the right wind site can make the difference between a profitable venture and an expensive kinetic sculpture. To improve reliability wind-farm developers have turned to more durable Danish turbines from Zond, Windmatic, and Bonus. Recent research under DOE sponsorship has studied large-scale MOD-2 machines built by Boeing, several of which are now operating at a PGandL site north of San Francisco. The result of recent new standards may require the filing of quarterly reports on machine capacity, performance, and the amounts of electricity produced from the installation.

  18. 2010 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Exeter Associates; National Renewable Energy Laboratory; Energetics Incorporated; Wiser, Ryan; Bolinger, Mark; Barbose, Galen; Darghouth, Naim; Hoen, Ben; Mills, Andrew; Seel, Joachim; Porter, Kevin; Buckley, Michael; Fink, Sari; Oteri, Frank; Raymond, Russell

    2011-06-27T23:59:59.000Z

    The U.S. wind power industry experienced a trying year in 2010, with a significant reduction in new builds compared to both 2008 and 2009. The delayed impact of the global financial crisis, relatively low natural gas and wholesale electricity prices, and slumping overall demand for energy countered the ongoing availability of existing federal and state incentives for wind energy deployment. The fact that these same drivers did not impact capacity additions in 2009 can be explained, in part, by the 'inertia' in capital-intensive infrastructure investments: 2009 capacity additions were largely determined by decisions made prior to the economy-wide financial crisis that was at its peak in late 2008 and early 2009, whereas decisions on 2010 capacity additions were often made at the height of the financial crisis. Cumulative wind power capacity still grew by a healthy 15% in 2010, however, and most expectations are for moderately higher wind power capacity additions in 2011 than witnessed in 2010, though those additions are also expected to remain below the 2009 high.

  19. Meta-analysis of net energy return for wind power systems Ida Kubiszewski a,*, Cutler J. Cleveland b

    E-Print Network [OSTI]

    Vermont, University of

    . Global installed annual wind capacity grew by more than 31 percent from 1997 to 2007 as seen in the global annual installed wind power capacity graph created by the Global Wind Energy Council (Fig. 1 the impressive growth, wind energy still accounts for a small fraction of total installed power generation

  20. 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.

  1. Wind Energy

    Broader source: Energy.gov [DOE]

    Presentation covers wind energy at the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  2. Appendix C: Regional Economic Freight Profiles Table of Contents

    E-Print Network [OSTI]

    Texas at Austin, University of

    , and a number of turbine engineering offices taking root in city business parks. One of the largest wind power 735 megawatts (MW) of electricity and helped Texas overtake California in total installed wind power capacity. The wind plant consists of 291 1.5- MW wind turbines from General Electric and 130 2.3-MW wind

  3. LADWP- Net Metering (California)

    Broader source: Energy.gov [DOE]

    LADWP allows its customers to net meter their photovoltaic (PV), wind, and hybrid systems with a capacity of not more than one megawatt. LADWP will provide the necessary metering equipment unless...

  4. LADWP- Net Metering

    Broader source: Energy.gov [DOE]

    LADWP allows its customers to net meter their photovoltaic (PV), wind, and hybrid systems with a capacity of not more than one megawatt. LADWP will provide the necessary metering equipment unless...

  5. Renewable Energy Property Tax Assessment

    Broader source: Energy.gov [DOE]

    Photovoltaic (PV) and wind energy facilities with a capacity of 2 megawatts (MW) AC or less are assessed locally for property taxes. Additionally, low impact hydro, geothermal, and biomass facili...

  6. Sixth Northwest Conservation & Electric Power Plan Cost and Availability of Wind

    E-Print Network [OSTI]

    1 Sixth Northwest Conservation & Electric Power Plan Cost and Availability of Wind Integration and Conservation Council Wind Integration Costs Reserving capacity for within-hour balancing is costly the system without the need to reserve flexible capacity for within-hour balancing of wind generation #12;3 5

  7. Wind Energy Conversion Systems Fault Diagnosis Using Wavelet Analysis

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Wind Energy Conversion Systems Fault Diagnosis Using Wavelet Analysis Elie Al-Ahmar1,2 , Mohamed El, induction generator, Discrete Wavelet Transform (DWT), failure diagnosis. I. Introduction Wind energy the condition of induction machines. Fig. 1. Worldwide growth of wind energy installed capacity [1]. 1 E. Al

  8. 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

  9. REVIEW Open Access Assessing environmental impacts of offshore wind

    E-Print Network [OSTI]

    Aberdeen, University of

    REVIEW Open Access Assessing environmental impacts of offshore wind farms: lessons learned offshore wind farm, Horns Rev 1 (160 MW with 80 turbines of 2 MW), became operational in 2002. The aver- age capacity of turbines and size of offshore wind farms have been increasing since then

  10. Dynamics and Fatigue Damage of Wind Turbine Rotors

    E-Print Network [OSTI]

    6 3 RiS0-Rr512 Dynamics and Fatigue Damage of Wind Turbine Rotors during Steady Operation Peter OF WIND TURBINE ROTORS DURING STEADY OPERATION Peter Hauge Madsen, Sten Frandsen, William E. Holley-carrying capacity of a wind turbine rotor with respect to short-term strength and material fatigue are presented

  11. Statewide Air Emissions Calculations from Energy Efficiency, Wind and Renewables

    E-Print Network [OSTI]

    Haberl, J.; Yazdani, B.; Culp, C.

    2008-01-01T23:59:59.000Z

    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... Energy Systems Laboratory p. 1 Jeff Haberl, Bahman Yazdani, Charles Culp Energy Systems Laboratory Texas Engineering Experiment Station Texas A&M University System STATEWIDE AIR EMISSIONS CALCULATIONS FROM ENERGY EFFICIENCY, WIND...

  12. High resolution reanalysis of wind speeds over the British Isles for wind energy integration

    E-Print Network [OSTI]

    Hawkins, Samuel Lennon

    2012-11-29T23:59:59.000Z

    The UK has highly ambitious targets for wind development, particularly offshore, where over 30GW of capacity is proposed for development. Integrating such a large amount of variable generation presents enormous challenges. ...

  13. Sandia National Laboratories: Wind

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

    Wind Grid System Planning for Wind: Wind Generator Modeling On June 11, 2014, in Wind generation continues to dominate the interconnection queues and the need for generic,...

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

    SciTech Connect (OSTI)

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

    2012-10-01T23:59:59.000Z

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

  15. 2009 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.

    2010-08-01T23:59:59.000Z

    The U.S. wind power industry experienced yet another record year in 2009, once again surpassing even optimistic growth projections from years past. At the same time, 2009 was a year of upheaval, with the global financial crisis impacting the wind power industry and with federal policy changes enacted to push the industry toward continued aggressive expansion. The year 2010, meanwhile, is anticipated to be one of some retrenchment, with expectations for fewer wind power capacity additions than seen in 2009. The rapid pace of development and change within the industry 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 fourth in an ongoing annual series - attempts to meet this need by providing a detailed overview of developments and trends in the United States wind power market, with a particular focus on 2009.

  16. 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.

  17. 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

  18. Regulatory and technical barriers to wind energy integration in northeast China

    E-Print Network [OSTI]

    Davidson, Michael (Michael Roy)

    2014-01-01T23:59:59.000Z

    China leads the world in installed wind capacity, which forms an integral part of its long-term goals to reduce the environmental impacts of the electricity sector. This primarily centrally-managed wind policy has concentrated ...

  19. Stochastic Real-Time Scheduling of Wind-thermal Generation Units ...

    E-Print Network [OSTI]

    2014-11-11T23:59:59.000Z

    time t (MW) wps,t. Percent of wind farm capacity available at scenario s and time t .... speeds at foreseen onshore and offshore wind farms locations is proposed.

  20. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    kilowatt-hour Midwest Independent System Operator megawattPJM), Midwest Independent System Operator (MISO), New YorkN/A (NSP) Midwest Independent System Operator N/A N/A (

  1. Final Focus Area Selection Report 255 Fuller Road, Suite 274, Albany, NY 12203 USA (518) 437-8661 / Fax: (518) 437-8659

    E-Print Network [OSTI]

    existing facilities. Wind plant capacity factors were calculated by matching wind map-derived resource statistics with a generic turbine power curve reflecting current megawatt-scale wind technologies. 2 for Task 2 (Selection of Focus Areas) of the Energy Commission project "Wind Energy Resource Modeling

  2. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

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

  3. 20% Wind Energy 20% Wind Energy

    E-Print Network [OSTI]

    Powell, Warren B.

    (government, industry, utilities, NGOs) Analyzes wind's potential contributions to energy security, economic · Transmission a challenge #12;Wind Power Class Resource Potential Wind Power Density at 50 m W/m 2 Wind Speed20% Wind Energy by 2030 20% Wind Energy by 2030 #12;Presentation and Objectives Overview Background

  4. 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?....................................................................

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

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01T23:59:59.000Z

    and corresponding direct electricity sector costs, includingand avoids electricity-sector water consumption. At the sameNew Wind Fig. 5. Electricity sector capacity by technology

  6. 20% Wind Energy by 2030 - Chapter 1: Executive Summary and Overview...

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

    (GW) Capacity additions in 20% Scenario 2009 projected installations: over 5,000 MW* Wind resource potential: 8000 GW economically available (excluding transmission costs)...

  7. Modal Dynamics and Stability of Large Multi-megawatt Deepwater Offshore Vertical-axis Wind Turbines: Initial Support Structure and Rotor Design Impact Studies

    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: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst Hirst Enterprises, Inc. P.O.Modal

  8. 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...

  9. Winding Trail

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    During the past decade, the demand for clean renewable energy continues to rise drastically in Europe, the US, and other countries. Wind energy in the ocean can possibly be one of those future renewable clean energy sources as long...

  10. megatons to megawatts

    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 AprilAElectronic Input Options Gary L. HirschOccurrencei-rapter |

  11. Megawatt Electrolysis Scale Up

    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 YourTransport(FactDepartment3311, 3312), OctoberMay 18-19, 2004MW Electrolysis Scale Up E

  12. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet...

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

    Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP) Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power...

  13. Representation of Solar Capacity Value in the ReEDS Capacity Expansion Model

    SciTech Connect (OSTI)

    Sigrin, B.; Sullivan, P.; Ibanez, E.; Margolis, R.

    2014-03-01T23:59:59.000Z

    An important issue for electricity system operators is the estimation of renewables' capacity contributions to reliably meeting system demand, or their capacity value. While the capacity value of thermal generation can be estimated easily, assessment of wind and solar requires a more nuanced approach due to the resource variability. Reliability-based methods, particularly assessment of the Effective Load-Carrying Capacity, are considered to be the most robust and widely-accepted techniques for addressing this resource variability. This report compares estimates of solar PV capacity value by the Regional Energy Deployment System (ReEDS) capacity expansion model against two sources. The first comparison is against values published by utilities or other entities for known electrical systems at existing solar penetration levels. The second comparison is against a time-series ELCC simulation tool for high renewable penetration scenarios in the Western Interconnection. Results from the ReEDS model are found to compare well with both comparisons, despite being resolved at a super-hourly temporal resolution. Two results are relevant for other capacity-based models that use a super-hourly resolution to model solar capacity value. First, solar capacity value should not be parameterized as a static value, but must decay with increasing penetration. This is because -- for an afternoon-peaking system -- as solar penetration increases, the system's peak net load shifts to later in the day -- when solar output is lower. Second, long-term planning models should determine system adequacy requirements in each time period in order to approximate LOLP calculations. Within the ReEDS model we resolve these issues by using a capacity value estimate that varies by time-slice. Within each time period the net load and shadow price on ReEDS's planning reserve constraint signals the relative importance of additional firm capacity.

  14. Capacity Markets for Electricity

    E-Print Network [OSTI]

    Creti, Anna; Fabra, Natalia

    2004-01-01T23:59:59.000Z

    Designing Markets for Electricity. Wiley IEEE Press. [25]in the England and Wales Electricity Market, Power WorkingFelder (1996), Should Electricity Markets Have a Capacity

  15. ORISE: Capacity Building

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

    Capacity Building Because public health agencies must maintain the resources to respond to public health challenges, critical situations and emergencies, the Oak Ridge Institute...

  16. Wind Spires as an Alternative Energy Source

    SciTech Connect (OSTI)

    Majid Rashidi, Ph.D., P.E.

    2012-10-30T23:59:59.000Z

    This report discloses the design and development of an innovative wind tower system having an axisymmetric wind deflecting structure with a plurality of symmetrically mounted rooftop size wind turbines near the axisymmetric structure. The purpose of the wind deflecting structure is to increase the ambient wind speed that in turn results in an overall increase in the power capacity of the wind turbines. Two working prototypes were constructed and installed in the summer of 2009 and 2012 respectively. The system installed in the Summer of 2009 has a cylindrical wind deflecting structure, while the tower installed in 2012 has a spiral-shape wind deflecting structure. Each tower has 4 turbines, each rated at 1.65 KW Name-Plate-Rating. Before fabricating the full-size prototypes, computational fluid dynamic (CFD) analyses and scaled-down table-top models were used to predict the performance of the full-scale models. The performance results obtained from the full-size prototypes validated the results obtained from the computational models and those of the scaled-down models. The second prototype (spiral configuration) showed at a wind speed of 11 miles per hour (4.9 m/s) the power output of the system could reach 1,288 watt, when a typical turbine installation, with no wind deflecting structure, could produce only 200 watt by the same turbines at the same wind speed. At a wind speed of 18 miles per hour (8 m/sec), the spiral prototype produces 6,143 watt, while the power generated by the same turbines would be 1,412 watt in the absence of a wind deflecting structure under the same wind speed. Four US patents were allowed, and are in print, as the results of this project (US 7,540,706, US 7,679,209, US 7,845,904, and US 8,002,516).

  17. Energy 101: Wind Turbines

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

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

  18. WIND DATA REPORT Mattapoisett

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Mattapoisett Mattapoisett, Massachusetts December 1, 2006 February 28, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  19. Energy 101: Wind Turbines

    SciTech Connect (OSTI)

    None

    2011-01-01T23:59:59.000Z

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

  20. 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, Jrgen 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

  1. New Report Evaluates Impacts of DOE's Wind Powering America Initiative...

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

    Department of Energy (DOE) in 1999, was to facilitate a rapid increase in U.S. wind power capacity by engaging in activities that address barriers to deployment on national,...

  2. DWEA Webinar: IRS Guidance for Small Wind Turbines

    Broader source: Energy.gov [DOE]

    The U.S. Internal Revenue Service (IRS) has issued Notice 2015-4 providing new performance and quality standards of small wind turbines defined as having a nameplate capacity of up to 100 kW in...

  3. Wind Power Price Trends in the United States

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-07-15T23:59:59.000Z

    For the fourth year in a row, the United States led the world in adding new wind power capacity in 2008, and also surpassed Germany to take the lead in terms of cumulative installed wind capacity. The rapid growth of wind power in the U.S. over the past decade (Figure 1) has been driven by a combination of increasingly supportive policies (including the Federal production tax credit (PTC) and a growing number of state renewables portfolio standards), uncertainty over the future fuel costs and environmental liabilities of natural gas and coal-fired power plants, and wind's competitive position among generation resources. This article focuses on just the last of these drivers - i.e., trends in U.S. wind power prices - over the period of strong capacity growth since 1998.

  4. Liquid heat capacity lasers

    DOE Patents [OSTI]

    Comaskey, Brian J. (Walnut Creek, CA); Scheibner, Karl F. (Tracy, CA); Ault, Earl R. (Livermore, CA)

    2007-05-01T23:59:59.000Z

    The heat capacity laser concept is extended to systems in which the heat capacity lasing media is a liquid. The laser active liquid is circulated from a reservoir (where the bulk of the media and hence waste heat resides) through a channel so configured for both optical pumping of the media for gain and for light amplification from the resulting gain.

  5. Wind turbine

    DOE Patents [OSTI]

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

    1982-01-01T23:59:59.000Z

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

  6. Wind Development on Tribal Lands

    SciTech Connect (OSTI)

    Ken Haukaas; Dale Osborn; Belvin Pete

    2008-01-18T23:59:59.000Z

    Background: The Rosebud Sioux Tribe (RST) is located in south central South Dakota near the Nebraska border. The nearest community of size is Valentine, Nebraska. The RST is a recipient of several Department of Energy grants, written by Distributed Generation Systems, Inc. (Disgen), for the purposes of assessing the feasibility of its wind resource and subsequently to fund the development of the project. Disgen, as the contracting entity to the RST for this project, has completed all the pre-construction activities, with the exception of the power purchase agreement and interconnection agreement, to commence financing and construction of the project. The focus of this financing is to maximize the economic benefits to the RST while achieving commercially reasonable rates of return and fees for the other parties involved. Each of the development activities required and its status is discussed below. Land Resource: The Owl Feather War Bonnet 30 MW Wind Project is located on RST Tribal Trust Land of approximately 680 acres adjacent to the community of St. Francis, South Dakota. The RST Tribal Council has voted on several occasions for the development of this land for wind energy purposes, as has the District of St. Francis. Actual footprint of wind farm will be approx. 50 acres. Wind Resource Assessment: The wind data has been collected from the site since May 1, 2001 and continues to be collected and analyzed. The latest projections indicate a net capacity factor of 42% at a hub height of 80 meters. The data has been collected utilizing an NRG 9300 Data logger System with instrumentation installed at 30, 40 and 65 meters on an existing KINI radio tower. The long-term annual average wind speed at 65-meters above ground level is 18.2 mph (8.1 mps) and 18.7 mph (8.4 mps) at 80-meters agl. The wind resource is excellent and supports project financing.

  7. Knudsen heat capacity

    SciTech Connect (OSTI)

    Babac, Gulru, E-mail: babac@itu.edu.tr [Institute of Energy, Istanbul Technical University, Istanbul 34469 (Turkey)] [Institute of Energy, Istanbul Technical University, Istanbul 34469 (Turkey); Reese, Jason M. [School of Engineering, University of Edinburgh, Edinburgh EH9 3JL (United Kingdom)] [School of Engineering, University of Edinburgh, Edinburgh EH9 3JL (United Kingdom)

    2014-05-15T23:59:59.000Z

    We present a Knudsen heat capacity as a more appropriate and useful fluid property in micro/nanoscale gas systems than the constant pressure heat capacity. At these scales, different fluid processes come to the fore that are not normally observed at the macroscale. For thermodynamic analyses that include these Knudsen processes, using the Knudsen heat capacity can be more effective and physical. We calculate this heat capacity theoretically for non-ideal monatomic and diatomic gases, in particular, helium, nitrogen, and hydrogen. The quantum modification for para and ortho hydrogen is also considered. We numerically model the Knudsen heat capacity using molecular dynamics simulations for the considered gases, and compare these results with the theoretical ones.

  8. Wind Power

    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'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

  9. Tribal Wind Assessment by the Eastern Shoshone Tribe of the Wind River Reservation

    SciTech Connect (OSTI)

    Pete, Belvin; Perry, Jeremy W.; Stump, Raphaella Q.

    2009-08-28T23:59:59.000Z

    The Tribes, through its consultant and advisor, Distributed Generation Systems (Disgen) -Native American Program and Resources Division, of Lakewood CO, assessed and qualified, from a resource and economic perspective, a wind energy generation facility on tribal lands. The goal of this feasibility project is to provide wind monitoring and to engage in preproject planning activities designed to provide a preliminary evaluation of the technical, economic, social and environmental feasibility of developing a sustainable, integrated wind energy plan for the Eastern Shoshone and the Northern Arapahoe Tribes, who resides on the Wind River Indian Reservation. The specific deliverables of the feasibility study are: 1) Assessments of the wind resources on the Wind River Indian Reservation 2) Assessments of the potential environmental impacts of renewable development 3) Assessments of the transmission capacity and capability of a renewable energy project 4) Established an economic models for tribal considerations 5) Define economic, cultural and societal impacts on the Tribe

  10. 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...

  11. 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.

  12. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply; Executive Summary (Revised)

    SciTech Connect (OSTI)

    Not Available

    2008-12-01T23:59:59.000Z

    This document is a 21-page summary of the 200+ page analysis that explores one clearly defined scenario for providing 20% of our nation's electricity demand with wind energy by 2030 and contrasts it to a scenario of no new U.S. wind power capacity.

  13. Refinery Capacity Report

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    by State as of January 1, 2006 PDF 5 Refiners' Operable Atmospheric Crude Oil Distillation Capacity as of January 1, 2006 PDF 6 Operable Crude Oil and Downstream Charge...

  14. Refinery Capacity Report

    Gasoline and Diesel Fuel Update (EIA)

    Capacity Report June 2014 With Data as of January 1, 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by...

  15. Forward capacity market CONEfusion

    SciTech Connect (OSTI)

    Wilson, James F.

    2010-11-15T23:59:59.000Z

    In ISO New England and PJM it was assumed that sponsors of new capacity projects would offer them into the newly established forward centralized capacity markets at prices based on their levelized net cost of new entry, or ''Net CONE.'' But the FCCMs have not operated in the way their proponents had expected. To clear up the CONEfusion, FCCM designs should be reconsidered to adapt them to the changing circumstances and to be grounded in realistic expectations of market conduct. (author)

  16. Power Electronics and Controls for Wind Turbine F. Blaabjerg, F. Iov, Z. Chen, K. Ma

    E-Print Network [OSTI]

    Chen, Zhe

    /distribution and utilization. This paper discuss trends of the most promising renewable energy sources, wind energy, which power capacity penetration (> 30 %) of wind energy in major areas of the country and today 25 % of the whole electrical energy consumption is covered by wind energy. They have even an ambition to achieve non

  17. The impact of electricity market schemes on predictability being a decision factor in the wind farm

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    The impact of electricity market schemes on predictability being a decision factor in the wind farm used criterion of capacity factor on the investment phase of a wind farm and on spatial planning, it is now recognized that accurate short-term forecasts of wind farms power output over the next few hours

  18. The impact of electricity market schemes on predictability being a decision factor in the wind farm

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    The impact of electricity market schemes on predictability being a decision factor in the wind farm of capacity factor on the investment phase of a wind farm and on spatial planning in an electricity market, it is now recognized that accurate short-term forecasts of wind farms power output over the next few hours

  19. Assessing the Impacts of Wind Integration in the Western Provinces Amy Sopinka

    E-Print Network [OSTI]

    Victoria, University of

    and utilize high levels of renewable energy technology, such as wind power, depends upon the composition penetrations in the Alberta grid under various balancing protocols. We find that adding #12;iv wind capacityAssessing the Impacts of Wind Integration in the Western Provinces by Amy Sopinka B.A., Queen

  20. Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara a

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    Data Bank Statistical analysis of wind energy in Chile David Watts a,b,*, Danilo Jara December 2010 Keywords: Wind Wind speed Energy Capacity factor Electricity Chile a b s t r a c t Bearing has been remarkably influenced by new requirements e the search for new energy supply sources has

  1. New report assesses offshore wind technology challenges and potential risks and benefits.

    E-Print Network [OSTI]

    New report assesses offshore wind technology challenges and potential risks and benefits. The report estimates that U.S. offshore winds have a gross potential generating capacity four times greater wind resources can provide many potential benefits, and with effective research, policies

  2. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01T23:59:59.000Z

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

  3. 2015 Iowa Wind Power Conference and Iowa Wind Energy Association...

    Energy Savers [EERE]

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

  4. Community Wind Handbook/Understand Your Wind Resource and Conduct...

    Open Energy Info (EERE)

    Conduct a Preliminary Estimate < Community Wind Handbook Jump to: navigation, search WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHCommunity Wind Handbook WindTurbine-icon.png...

  5. American Wind Energy Association Wind Energy Finance and Investment...

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

    American Wind Energy Association Wind Energy Finance and Investment Seminar American Wind Energy Association Wind Energy Finance and Investment Seminar October 20, 2014 8:00AM EDT...

  6. Modeling the Benefits of Storage Technologies to Wind Power

    SciTech Connect (OSTI)

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

    2008-06-01T23:59:59.000Z

    Rapid expansion of wind power in the electricity sector is raising questions about how wind resource variability might affect the capacity value of wind farms at high levels of penetration. Electricity storage, with the capability to shift wind energy from periods of low demand to peak times and to smooth fluctuations in output, may have a role in bolstering the value of wind power at levels of penetration envisioned by a new Department of Energy report ('20% Wind by 2030, Increasing Wind Energy's Contribution to U.S. Electricity Supply'). This paper quantifies the value storage can add to wind. The analysis was done employing the Regional Energy Deployment System (ReEDS) model, formerly known as the Wind Deployment System (WinDS) model. ReEDS was used to estimate the cost and development path associated with 20% penetration of wind in the report. ReEDS differs from the WinDS model primarily in that the model has been modified to include the capability to build and use three storage technologies: pumped-hydroelectric storage (PHS), compressed-air energy storage (CAES), and batteries. To assess the value of these storage technologies, two pairs of scenarios were run: business-as-usual, with and without storage; 20% wind energy by 2030, with and without storage. This paper presents the results from those model runs.

  7. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    wind turbine components (specifically, generators, bladeschangers. Wind turbine components such as blades, towers,17%). Wind turbine component exports (towers, blades,

  8. 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.

  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. Sandia National Laboratories: wind energy

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

    Wind Energy Manufacturing Lab Helps Engineers Improve Wind Power On November 15, 2011, in Energy, News, Partnership, Renewable Energy, Wind Energy Researchers at the Wind Energy...

  12. Module Handbook Specialisation Wind Energy

    E-Print Network [OSTI]

    Habel, Annegret

    ;Specialisation Wind Energy, NTU Athens, 2nd Semester Module 1/Wind Energy: Wind potential, Aerodynamics & Loading of Wind Turbines Module name: Wind potential, Aerodynamics & Loading of Wind Turbines Section Classes Evaluation of Wind Energy Potential Wind turbine Aerodynamics Static and dynamic Loading of Wind turbines

  13. Offshore Wind Energy Market Installed Capacity is Anticipated to Reach

    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 JumpsourceOffshore Lubricants Market Size Home52,120.9 MW by

  14. Spain Installed Wind Capacity Website | 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 JumpsourceSouthlake, Texas:HydrodynamicSpain

  15. Dual capacity reciprocating compressor

    DOE Patents [OSTI]

    Wolfe, R.W.

    1984-10-30T23:59:59.000Z

    A multi-cylinder compressor particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor rotation is provided with an eccentric cam on a crank pin under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180[degree] apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons whose connecting rods ride on a crank pin without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation. 6 figs.

  16. Dual capacity reciprocating compressor

    DOE Patents [OSTI]

    Wolfe, Robert W. (Wilkinsburg, PA)

    1984-01-01T23:59:59.000Z

    A multi-cylinder compressor 10 particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor 16 rotation is provided with an eccentric cam 38 on a crank pin 34 under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180.degree. apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons 24 whose connecting rods 30 ride on a crank pin 36 without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation.

  17. Quantum Channel Capacities

    E-Print Network [OSTI]

    Graeme Smith

    2010-07-16T23:59:59.000Z

    A quantum communication channel can be put to many uses: it can transmit classical information, private classical information, or quantum information. It can be used alone, with shared entanglement, or together with other channels. For each of these settings there is a capacity that quantifies a channel's potential for communication. In this short review, I summarize what is known about the various capacities of a quantum channel, including a discussion of the relevant additivity questions. I also give some indication of potentially interesting directions for future research.

  18. Wind Integration

    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: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires may contribute more to global warmingGlobal »Wind

  19. Wind Power

    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: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEurekaWeekly UserWhat's New Today aboutWind

  20. Factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-05-15T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  1. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    SciTech Connect (OSTI)

    Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

    2011-09-15T23:59:59.000Z

    We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios one with no farmland included, the other with all farmland included. Under the no farmland included case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the all farmland included case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

  2. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2006-05-01T23:59:59.000Z

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

  3. Wind Power Today

    SciTech Connect (OSTI)

    Not Available

    2007-05-01T23:59:59.000Z

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

  4. Sunflower Wind Farm EA

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

    Sunflower Wind Farm EA Sunflower Wind Farm Draft EA (25mb pdf) Note: If you have problems downloading this file, pelase contact Lou Hanebury at (406) 255-2812 Sunflower Wind Farm...

  5. ERCOT's Dynamic Model of Wind Turbine Generators: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Butterfield, C. P.; Conto, J.; Donoho, K.

    2005-08-01T23:59:59.000Z

    By the end of 2003, the total installed wind farm capacity in the Electric Reliability Council of Texas (ERCOT) system was approximately 1 gigawatt (GW) and the total in the United States was about 5 GW. As the number of wind turbines installed throughout the United States increases, there is a greater need for dynamic wind turbine generator models that can properly model entire power systems for different types of analysis. This paper describes the ERCOT dynamic models and simulations of a simple network with different types of wind turbine models currently available.

  6. Wind Energy | www.ncsc.ncsu.edu North Carolina State University, Campus Box 7401, Raleigh, NC 27695 | 1 919-515-3480 | www.ncsc.ncsu.edu

    E-Print Network [OSTI]

    wind potential is over 10,000 gigawatts (GW) in areas with capacity factors at or above 30 percent. For offshore wind, the Department of Interior estimates that over 4,000 GW of offshore wind potential exist in the oceans and Great Lakes. Only a portion of this potential will be necessary for wind energy to supply

  7. Wind/Hydro Study

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

    WindHydro Integration Feasibility Study Announcements (Updated July 8, 2010) The Final WindHydro Integration Feasibility Study Report, dated June 2, 2009, has been submitted to...

  8. Wind energy bibliography

    SciTech Connect (OSTI)

    None

    1995-05-01T23:59:59.000Z

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

  9. Wind Turbine Tribology Seminar

    Broader source: Energy.gov [DOE]

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

  10. Commonwealth Wind Incentive Program Micro Wind Initiative

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program Micro Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers rebates of up to $4/W with a maximum of $130,000 for design and...

  11. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    States. Specifically, Bluewater Wind and Delmarva PowerLLC Babcock & Brown Acquisition Bluewater Wind Good Energies

  12. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    policy support for other renewable energy sources, wind mayrenewable energy and climate policy initiatives. With wind

  13. WindWaveFloat Final Report

    SciTech Connect (OSTI)

    Alla Weinstein, Dominique Roddier, Kevin Banister

    2012-03-30T23:59:59.000Z

    Principle Power Inc. and National Renewable Energy Lab (NREL) have completed a contract to assess the technical and economic feasibility of integrating wave energy converters into the WindFloat, resulting in a new concept called the WindWaveFloat (WWF). The concentration of several devices on one platform could offer a potential for both economic and operational advantages. Wind and wave energy converters can share the electrical cable and power transfer equipment to transport the electricity to shore. Access to multiple generation devices could be simplified, resulting in cost saving at the operational level. Overall capital costs may also be reduced, provided that the design of the foundation can be adapted to multiple devices with minimum modifications. Finally, the WindWaveFloat confers the ability to increase energy production from individual floating support structures, potentially leading to a reduction in levelized energy costs, an increase in the overall capacity factor, and greater stability of the electrical power delivered to the grid. The research conducted under this grant investigated the integration of several wave energy device types into the WindFloat platform. Several of the resulting system designs demonstrated technical feasibility, but the size and design constraints of the wave energy converters (technical and economic) make the WindWaveFloat concept economically unfeasible at this time. Not enough additional generation could be produced to make the additional expense associated with wave energy conversion integration into the WindFloat worthwhile.

  14. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    mance characteristics of wind generator. The wind speed atcharacteristics of the wind generator. When wind speed is

  15. Final report: Task 4a.2 20% wind scenario assessment of electric grid operational features

    SciTech Connect (OSTI)

    Toole, Gasper L. [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    Wind integration modeling in electricity generation capacity expansion models is important in that these models are often used to inform political or managerial decisions. Poor representation of wind technology leads to under-estimation of wind's contribution to future energy scenarios which may hamper growth of the industry. The NREL's Wind Energy Deployment System (WinDS) model provides the most detailed representation of geographically disperse renewable resources and the optimization of transmission expansion to access these resources. Because WinDS was selected as the primary modeling tool for the 20% Wind Energy by 2030 study, it is the ideal tool for supplemental studies of the transmission expansion results. However, as the wind industry grows and knowledge related to the wind resource and integration of wind energy into the electric system develops, the WinDS model must be continually improved through additional data and innovative algorithms to capture the primary effects of variable wind generation. The detailed representation of wind technology in the WinDS model can be used to provide improvements to the simplified representation of wind technology in other capacity expansion models. This task did not employ the WinDS model, but builds from it and its results. Task 4a.2 provides an assessment of the electric grid operational features of the 20% Wind scenario and was conducted using power flow models accepted by the utility industry. Tasks 2 provides information regarding the physical flow of electricity on the electric grid which is a critical aspect of infrastructure expansion scenarios. Expanding transmission infrastructure to access remote wind resource in a physically realizable way is essential to achieving 20% wind energy by 2030.

  16. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    Wind Generation2006. Integrating Wind Generation into Utility Systems.Stand-Alone Wind Generation . 60

  17. Suppression of spurious mode oscillation in mega-watt 77-GHz gyrotron as a high quality probe beam source for the collective Thomson scattering in LHD

    SciTech Connect (OSTI)

    Ogasawara, S. [Department of Energy Engineering and Science, Nagoya University, Nagoya 464-8463 (Japan); Kubo, S. [Department of Energy Engineering and Science, Nagoya University, Nagoya 464-8463 (Japan); National Institute for Fusion Science, 322-6 Oroshi-cho, Toki-shi 509-5292 (Japan); Nishiura, M.; Tanaka, K.; Shimozuma, T.; Yoshimura, Y.; Igami, H.; Takahashi, H.; Ito, S.; Takita, Y.; Kobayashi, S.; Mizuno, Y.; Okada, K. [National Institute for Fusion Science, 322-6 Oroshi-cho, Toki-shi 509-5292 (Japan); Tatematsu, Y.; Saito, T. [Research Center for Development of Far-Infrared Region, University of Fukui, Fukui 910-8507 (Japan); Minami, R.; Kariya, T.; Imai, T. [Plasma Research Center, University of Tsukuba, Tsukuba 305-8577 (Japan)

    2012-10-15T23:59:59.000Z

    Collective Thomson scattering (CTS) diagnostic requires a strong probing beam to diagnose a bulk and fast ion distribution function in fusion plasmas. A mega-watt gyrotron for electron cyclotron resonance heating is used as a probing beam in the large helical device. Spurious mode oscillations are often observed during the turning on/off phase of the modulation. The frequency spectra of the 77-GHz gyrotron output power have been measured, and then one of the spurious modes, which interferes with the CTS receiver system, is identified as the TE{sub 17,6} mode at the frequency of 74.7 GHz. The mode competition calculation indicates that the increase of the magnetic field strength at the gyrotron resonator can avoid such a spurious mode and excite only the main TE{sub 18,6} mode. The spurious radiation at the 74.7 GHz is experimentally demonstrated to be suppressed in the stronger magnetic field than that optimized for the high-power operation.

  18. Howard County- Wind Ordinance

    Broader source: Energy.gov [DOE]

    This ordinance sets up provisions for allowing small wind energy systems in various zoning districts.

  19. Use of wind power forecasting in operational decisions.

    SciTech Connect (OSTI)

    Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V. (Decision and Information Sciences); (INESC Porto)

    2011-11-29T23:59:59.000Z

    The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

  20. Wind energy offers considerable promise; the wind itself is free,

    E-Print Network [OSTI]

    Langendoen, Koen

    Wind energy offers considerable promise; the wind itself is free, wind power is clean. One of these sources, wind energy, offers considerable promise; the wind itself is free, wind power is clean, and it is virtually inexhaustible. In recent years, research on wind energy has accelerated

  1. Estimation of Wind Speed in Connection to a Wind Turbine

    E-Print Network [OSTI]

    Estimation of Wind Speed in Connection to a Wind Turbine X. Ma #3; , N. K. Poulsen #3; , H. Bindner y December 20, 1995 Abstract The wind speed varies over the rotor plane of wind turbine making the wind speed on the rotor plane will be estimated by using a wind turbine as a wind measuring device

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

    SciTech Connect (OSTI)

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

    2013-06-01T23:59:59.000Z

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

  3. Wind Power Outlook 2004

    SciTech Connect (OSTI)

    anon.

    2004-01-01T23:59:59.000Z

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

  4. 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.

  5. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity Report

  6. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity Report5

  7. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity

  8. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity Operable

  9. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard Errors for Table 1.1;"21Capacity

  10. Refinery Capacity Report

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source:Additions to Capacity onThousand(Dollars2009Rail

  11. Refinery Capacity Report Historical

    Gasoline and Diesel Fuel Update (EIA)

    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 for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source:Additions to Capacity onThousand(Dollars2009Rail

  12. ORISE: Capacity Building

    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: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOE Project *1980-1981 U.S.CapabilitiesCapacity Building

  13. Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators...

    Office of Environmental Management (EM)

    Engages Tomorrow's Wind Energy Innovators Collegiate Wind Competition Engages Tomorrow's Wind Energy Innovators January 6, 2014 - 10:00am Addthis 2014 Collegiate Teams Boise State...

  14. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

    Energy Savers [EERE]

    : Increasing Wind Energy's Contribution to U.S. Electricity Supply (Executive Summary) 20% Wind Energy by 2030: Increasing Wind Energy's Contribution to U.S. Electricity Supply...

  15. National Wind Technology Center (Fact Sheet), National Wind Technology...

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

    NATIONAL WIND TECHNOLOGY CENTER www.nrel.govwind Wind energy is one of the fastest growing electricity generation sources in the world. NREL's National Wind Technology Center...

  16. Sinomatech Wind Power Blade aka Sinoma Science Technology Wind...

    Open Energy Info (EERE)

    Sinomatech Wind Power Blade aka Sinoma Science Technology Wind Turbine Blade Co Ltd Jump to: navigation, search Name: Sinomatech Wind Power Blade (aka Sinoma Science & Technology...

  17. 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...

  18. Proposed Columbia Wind Farm No. 1 : Final Environmental Impact Statement, Joint NEPA/SEPA.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration; Klickitat County (Wash.)

    1995-09-01T23:59:59.000Z

    CARES proposes to construct and operate the 25 megawatt Columbia Wind Farm No. 1 (Project) in the Columbia Hills area of Klickitat County, Washington known as Juniper Point. Wind is not a constant resource and based on the site wind measurement data, it is estimated that the Project would generate approximately 7 average annual MWs of electricity. BPA proposes to purchase the electricity generated by the Project. CARES would execute a contractual agreement with a wind developer, to install approximately 91 wind turbines and associated facilities to generate electricity. The Project`s construction and operation would include: install concrete pier foundations for each wind turbine; install 91 model AWT-26 wind turbines using 43 m high guyed tubular towers on the pier foundations; construct a new 115/24-kv substation; construct a 149 m{sup 2} steel operations and maintenance building; install 25 pad mount transformers along the turbine access roads; install 4.0 km of underground 24 kv power collection lines to collect power from individual turbines to the end of turbine strings; install 1.2 km of underground communication and transmission lines from each turbine to a pad mount transformer; install 5.6 km of 24 kv wood pole transmission lines to deliver electricity from the pad mount transformers to the Project substation; install 3.2 km of 115 kv wood pole transmission lines to deliver electricity from the Project substation to the Public Utility District No. 1 of Klickitat County(PUD)115 kv Goldendale line; interconnect with the BPA transmission system through the Goldendale line and Goldendale substation owned by the PUD; reconstruct, upgrade, and maintain 8.0 km of existing roads; construct and maintain 6.4 km of new graveled roads along the turbine strings and to individual turbines; and install meteorological towers guyed with rebar anchors on the Project site.

  19. 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

  20. A novel hybrid (wind-photovoltaic) system sizing procedure

    SciTech Connect (OSTI)

    Hocaoglu, Fatih O. [Afyon Kocatepe University, Dept. of Electronics and Communication Eng., 03200 Afyonkarahisar (Turkey); Gerek, Oemer N.; Kurban, Mehmet [Anadolu University, Dept. of Electrical and Electronics Eng., 26555 Eskisehir (Turkey)

    2009-11-15T23:59:59.000Z

    Wind-photovoltaic hybrid system (WPHS) utilization is becoming popular due to increasing energy costs and decreasing prices of turbines and photovoltaic (PV) panels. However, prior to construction of a renewable generation station, it is necessary to determine the optimum number of PV panels and wind turbines for minimal cost during continuity of generated energy to meet the desired consumption. In fact, the traditional sizing procedures find optimum number of the PV modules and wind turbines subject to minimum cost. However, the optimum battery capacity is either not taken into account, or it is found by a full search between all probable solution spaces which requires extensive computation. In this study, a novel description of the production/consumption phenomenon is proposed, and a new sizing procedure is developed. Using this procedure, optimum battery capacity, together with optimum number of PV modules and wind turbines subject to minimum cost can be obtained with good accuracy. (author)

  1. Sandia Energy - Sandia Wind Turbine Loads Database

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

    Sandia Wind Turbine Loads Database Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind Software Downloads Sandia Wind Turbine Loads Database Sandia Wind...

  2. Sandia National Laboratories: Wind Power

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

    Wind Energy Staff On March 24, 2011, in Wind Energy On November 10, 2010, in Wind Plant Opt. Rotor Innovation Materials, Reliability & Standards Siting & Barrier Mitigation...

  3. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    the Impact of Significant Wind Generation Facilities on BulkOperations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's

  4. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Operations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's2008. Analysis of Wind Generation Impact on ERCOT Ancillary

  5. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    the Impact of Significant Wind Generation Facilities on BulkOperations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power's

  6. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Operations Impacts of Wind Generation Integration Study.Impacts of Integrating Wind Generation into Idaho Power'sthe Impact of Significant Wind Generation Facilities on Bulk

  7. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle June 1, 2005 August 31, 2005 Prepared for United States Department...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  8. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle December 1, 2004 February 28, 2005 Prepared for United States.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  9. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle December 1, 2004 December 1, 2005 Prepared for United States ......................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  10. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island June 1, 2003 August 31, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  11. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    Prepared for the Utility Wind Integration Group. Arlington,Consult. 2010. International Wind Energy Development: WorldUBS Global I/O: Global Wind Sector. UBS Investment Research.

  12. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island December 1, 2003 February 29, 2004 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution

  13. WIND DATA REPORT Presque Isle

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Presque Isle March 1, 2005 May 31, 2005 Prepared for United States Department.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  14. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2003 May 31, 2003 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  15. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA June1, 2004 to August 31, 2004. Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 8 Wind Speed Distributions

  16. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island September 1, 2003 November 30, 2003 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  17. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2004 May 31, 2004 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  18. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    2008. Washington, DC: American Wind Energy Association.American Wind Energy Association ( AWEA).2009b. AWEA Small Wind Turbine Global Market Study: Year

  19. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island June 1, 2004 August 31, 2004 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distribution

  20. 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

  1. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    wind turbine components (specifically, generators, bladeschangers. Wind turbine components such as blades, towers,Canada (8%). Wind turbine component exports (towers, blades,

  2. 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

  3. 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

  4. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    Xcel Energy. 2011. Wind Induced Coal Plant Cyclingand the Implications of Wind Curtailment for Public Serviceof Colorado 2 GW and 3 GW Wind Integration Cost Study.

  5. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Opinion About Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.Newark, DE. 16 pages. Global Wind Energy Council (GWEC) (

  6. 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

  7. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    natural gas prices), pushed wind energy to the top of (andperformance, and price of wind energy, policy uncertainty cost, performance, and price of wind energy, some of these

  8. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island December 1, 2004 February 28, 2005 Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distribution

  9. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA March 26th 2005 to May 31st 2005. Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  10. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA June 1st 2004- May 31st 2005 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Distributions......................................................................................................... 11 Monthly Average Wind Speeds

  11. WIND DATA REPORT Kingston, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Kingston, MA March 1, 2006 - May 31, 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions.......

  12. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA September 1st 2005 to November 30th 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  13. WIND DATA REPORT Wellfleet, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Wellfleet, MA December 1st , 2006 February 28th , 2007 Prepared...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  14. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA June 1st 2006 to August 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed D

  15. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts March 24th to May 31st , 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  16. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA December 2006 February 2007 Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  17. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts December 1, 2005 - February 28, 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 12 Wind Speed Di

  18. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts December, 2006 1st to February 28th , 2007 Prepared...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  19. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts June 1, 2006 - August 31, 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Di

  20. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA March 2007 May 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  1. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA September November 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  2. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA September 1st 2005 to November 30th 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  3. WIND DATA REPORT Kingston, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Kingston, MA December 1, 2005 - February 28, 2006 Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution

  4. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts September 1, 2006 - November 30, 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions..................

  5. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA December 1st 2005 to February 28th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  6. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI March 1, 2007 May 31, 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  7. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA Sep 1st 2004 to Nov 30th 2004. Prepared for Massachusetts Technology...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  8. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA June August 2006 Prepared for Massachusetts Technology Collaborative.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  9. WIND DATA REPORT September 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Lynn, MA September 2005 Prepared for Massachusetts Technology Collaborative 75.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Monthly Average Wind Speeds

  10. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA June 1st 2005 to August 31st 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  11. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts September 1st to November 30th , 2006 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  12. WIND DATA REPORT Truro, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Truro, Massachusetts June 1st to August 31st , 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  13. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA June 1st 2005 to August 31st 2005. Prepared for Massachusetts.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  14. WIND DATA REPORT Brewster, Massachusetts

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Brewster, Massachusetts March 1, 2006 - May 31, 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributi

  15. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island September 1, 2004 November 30, 2004 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribution.............

  16. WIND DATA REPORT DARTMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT DARTMOUTH, MA December 1st 2005 to February 28th 2006. Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  17. WIND DATA REPORT Dartmouth, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Dartmouth, MA March 1st 2006 to May 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  18. WIND DATA REPORT Wellfleet, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Wellfleet, MA March 1st , 2007 May 31st , 2007 Prepared for Massachusetts...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  19. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI September 1, 2007 November 30, 2007 Prepared for Massachusetts...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  20. WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Thompson Island March 1, 2005 May 31, 2005 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distribution

  1. WIND DATA REPORT Chester, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Chester, MA April 14 May 31, 2006 Prepared for Massachusetts Technology.................................................................................................................... 10 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  2. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA Dec 1st 2004 to Feb 28th 2005. Prepared for Massachusetts Technology ...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  3. WIND DATA REPORT FALMOUTH, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT FALMOUTH, MA March 1st 2005 to May 31st 2005. Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  4. WIND DATA REPORT Dartmouth, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Dartmouth, MA June 1st 2006 to July 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  5. WIND DATA REPORT Gardner NCCI

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Gardner NCCI June 1, 2007 August 31, 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  6. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    studies show that wind energy integration costs are below $do not represent wind energy generation costs. This sectioncomponent of the overall cost of wind energy, but can vary

  7. 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

  8. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    performance, and price of wind energy, policy uncertainty The wind energy integration, transmission, and policyand absent supportive policies for wind energy. That said,

  9. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    The wind energy integration, transmission, and policy2012, however, federal policy towards wind energy remainsin federal policy towards wind energy after 2012 places such

  10. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    The wind energy integration, transmission, and policyPTC. Moreover, federal policy towards wind energy remainsand policy announcements demonstrate accelerated activity in the offshore wind energy

  11. WIND DATA REPORT Nantucket, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Nantucket, MA March 1st 2006 to May 31th 2006 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distribut

  12. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    Market Report vii potential wind energy generation withinthat nearly 8% of potential wind energy generation withinAreas, in GWh (and % of potential wind generation) Electric

  13. Q-Winds satellite hurricane wind retrievals and H*Wind comparisons

    E-Print Network [OSTI]

    Hennon, Christopher C.

    of the hurricane surface winds from NOAA and U.S. Air Force Weather Squadron aircraft flights. Further, results1 Q-Winds satellite hurricane wind retrievals and H*Wind comparisons Pet Laupattarakasem and W This paper presents a new hurricane ocean vector wind (OVW) product known as Q-Winds produced from the SeaWinds

  14. Onshore wind max capacity 50.4% - what wind farm, what year? | OpenEI

    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 SiteofEvaluatingGroup |JilinLuOpenNorthOlympia Green Fuels Jump to:Omniwatt

  15. 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.

  16. Wind energy information guide

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

  17. Abstract--This paper aims at assessing the impact of massive wind power penetration on the calculation of Available Transfer

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    . Indeed it is required to reduce available transmission capacities to keep the power system safe despite be maximal without breaching network security. I. INTRODUCTION imited transmission interconnection capacities the uncertainty about wind power. The use of suboptimal transmission capacity allocation methods explains

  18. Comparison of Feed in Tariff, Quota and Auction Mechanisms to Support Wind Power Development

    E-Print Network [OSTI]

    Butler, Lucy; Neuhoff, Karsten

    2006-03-14T23:59:59.000Z

    A comparison of policy instruments employed to support onshore wind projects suggests that in terms of capacity installed, policies adopted in Germany have been more effective than those adopted in the UK. Price comparisons have frequently...

  19. Development of an Offshore Direct-Drive Wind Turbine Model by Using a Flexible Multibody Simulation (Poster)

    SciTech Connect (OSTI)

    Bergua, R.; Jove, J.; Campbell, J.; Guo, Y.; Van Dam, J.

    2014-05-01T23:59:59.000Z

    Modern wind turbines are complex, highly-coupled systems. The dynamic interaction between various components is especially pronounced for multi-megawatt wind turbines. As a result, design process is generally split in several phases. First step consists of creating a global aero-elastic model that includes essential dynamics of structural components using the minimum-possible number of degrees of freedom (d.o.f.). The most important simplifications concern drivetrain and rotor-nacelle assembly (RNA). This approach has been shown valid for several wind turbine configurations. Nevertheless, with increasing size of wind turbines, any simplified design approach must be validated. The present work deals with the comparison and validation of the two modeling approaches for directdrive offshore wind turbines. ARNA/drivetrain model idealized as collection of lumped masses and springs is compared to a detailed Finite Element Method (FEM) based model. The comparison between models focuses on dynamic loads concerning drivetrain system. The comparison is performed in several operational conditions in order to explore the range of validity of the simplified model. Finally, the paper proposes a numerical-based workflow to assess the validity of simplified models of RNA/drivetrain in an aero-elastic global WT model.

  20. Policies and market factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori; Parsons, Brian; Gagliano, Troy; Brown, Matthew; Wiser, Ryan; Bolinger, Mark

    2003-07-30T23:59:59.000Z

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,100 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states in which a substantial amount of wind energy capacity has been developed or planned. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  1. EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility...

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

    6: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI EA-1726: Kahuku Wind Power, LLC Wind Power Generation Facility, O'ahu, HI May 3, 2010 EA-1726: Final...

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

    SciTech Connect (OSTI)

    Phadke, Amol; Abhyankar, NIkit; Rao, Poorvi

    2014-06-17T23:59:59.000Z

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

  3. 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.

  4. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    AWEA?s Wind Energy Weekly, DOE/EPRI?s Turbine Verification10% Wind Energy Penetration New large-scale 9 wind turbineswind energy continues to decline as a result of lower wind turbine

  5. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    AWEAs Wind Energy Weekly, DOE/EPRIs Turbine Verification10% Wind Energy Penetration New large-scale 8 wind turbinesTurbine Market Report. Washington, D.C. : American Wind Energy

  6. Sandia Energy - Wind Plant Optimization

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

    Wind Plant Optimization Home Stationary Power Energy Conversion Efficiency Wind Energy Wind Plant Optimization Wind Plant OptimizationTara Camacho-Lopez2015-05-29T21:33:21+00:00...

  7. Wind Wave Float

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

    Water Power Peer Review WindWaveFloat Alla Weinstein Principle Power, Inc. aweinstein@principlepowerinc.com November 1, 2011 2 | Wind and Water Power Program eere.energy.gov...

  8. Wind Energy Act (Maine)

    Broader source: Energy.gov [DOE]

    The Maine Wind Energy Act is a summary of legislative findings that indicate the state's strong interest in promoting the development of wind energy and establish the state's desire to ease the...

  9. Residential Wind Power

    E-Print Network [OSTI]

    Willis, Gary

    2011-12-16T23:59:59.000Z

    This research study will explore the use of residential wind power and associated engineering and environmental issues. There is various wind power generating devices available to the consumer. The study will discuss the dependencies of human...

  10. Airplane and the wind

    E-Print Network [OSTI]

    Airplane and the wind. An airplane starts from the point A and flies to B. The speed of the airplane with respect to the air is v (constant). There is also a wind of

  11. 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...

  12. Wind JOC Conference - Wind Control Changes

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

    1 Wind Control Changes JOC August 10, 2012 Presentation updated on July 30, 2012 at 11:00 AM B O N N E V I L L E P O W E R A D M I N I S T R A T I O N 2 Wind Control Changes B O N...

  13. 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

    Prospects for Offshore Wind Farms. Wind Engineering, 28:Techniques for Offshore Wind Farms. Journal of Solar

  14. Kent County- Wind Ordinance

    Broader source: Energy.gov [DOE]

    This ordinance establishes provisions and standards for small wind energy systems in various zoning districts in Kent County, Maryland.

  15. Wind Webinar Text Version

    Broader source: Energy.gov [DOE]

    Download the text version of the audio from the DOE Office of Indian Energy webinar on wind renewable energy.

  16. Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

    SciTech Connect (OSTI)

    Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

    2011-10-01T23:59:59.000Z

    The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

  17. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

    regulation and frequency response services charge to wind energyRegulation and Frequency Response Service rate for wind energy

  18. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Opinion About Large Offshore Wind Power: Underlying Factors.Delaware Opinion on Offshore Wind Power - Interim Report.

  19. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    space constraints. Ohio: The Lake Erie Energy DevelopmentGreat Lakes Ohio Wind, and Great Lakes Wind Energy LLC. In

  20. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    of larger balancing areas, the use of regional wind powerbalancing areas. The successful use of regional wind power

  1. 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

  2. Wind Economic Development (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Powering America initiative provides information on the economic development benefits of wind energy. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to the economic development benefits section on the Wind Powering America website.

  3. Wind farm electrical system

    DOE Patents [OSTI]

    Erdman, William L.; Lettenmaier, Terry M.

    2006-07-04T23:59:59.000Z

    An approach to wind farm design using variable speed wind turbines with low pulse number electrical output. The output of multiple wind turbines are aggregated to create a high pulse number electrical output at a point of common coupling with a utility grid network. Power quality at each individual wind turbine falls short of utility standards, but the aggregated output at the point of common coupling is within acceptable tolerances for utility power quality. The approach for aggregating low pulse number electrical output from multiple wind turbines relies upon a pad mounted transformer at each wind turbine that performs phase multiplication on the output of each wind turbine. Phase multiplication converts a modified square wave from the wind turbine into a 6 pulse output. Phase shifting of the 6 pulse output from each wind turbine allows the aggregated output of multiple wind turbines to be a 24 pulse approximation of a sine wave. Additional filtering and VAR control is embedded within the wind farm to take advantage of the wind farm's electrical impedence characteristics to further enhance power quality at the point of common coupling.

  4. Wind power outlook 2006

    SciTech Connect (OSTI)

    anon.

    2006-04-15T23:59:59.000Z

    This annual brochure provides the American Wind Energy Association's up-to-date assessment of the wind industry in the United States. This 2006 general assessment shows positive signs of growth, use and acceptance of wind energy as a vital component of the U.S. energy mix.

  5. Wind Turbine Competition Introduction

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    Wind Turbine Competition Introduction: The Society of Hispanic Professional Engineers, SHPE at UTK, wishes to invite you to participate in our first `Wind Turbine' competition as part of Engineer's Week). You will be evaluated by how much power your wind turbine generates at the medium setting of our fan

  6. Offshore Wind Geoff Sharples

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Offshore Wind Geoff Sharples geoff@clearpathenergyllc.com #12;Frequently Unanswered Ques?ons Why don't "they" build more offshore wind? Why not make States Cape Wind PPA at 18 c/kWh #12;The cycle of non-innova?on Offshore

  7. Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    Fun Facts Why do meteorologists use wind vanes? Wind vanes are used to determine the direction of the wind. Wind vanes are also called weather vanes. What do wind vanes look like on a weather station? Wind vanes that are on weather stations look a lot like the one you made! The biggest differences

  8. Drart environmental impact statement siting, construction, and operation of New Production Reactor capacity. Volume 4, Appendices D-R

    SciTech Connect (OSTI)

    Not Available

    1991-04-01T23:59:59.000Z

    This Environmental Impact Statement (EIS) assesses the potential environmental impacts, both on a broad programmatic level and on a project-specific level, concerning a proposed action to provide new tritium production capacity to meet the nation`s nuclear defense requirements well into the 21st century. A capacity equivalent to that of about a 3,000-megawatt (thermal) heavy-water reactor was assumed as a reference basis for analysis in this EIS; this is the approximate capacity of the existing production reactors at DOE`s Savannah River Site near Aiken, South Carolina. The EIS programmatic alternatives address Departmental decisions to be made on whether to build new production facilities, whether to build one or more complexes, what size production capacity to provide, and when to provide this capacity. Project-specific impacts for siting, constructing, and operating new production reactor capacity are assessed for three alternative sites: the Hanford Site near Richland, Washington; the Idaho National Engineering Laboratory near Idaho Falls, Idaho; and the Savannah River Site. For each site, the impacts of three reactor technologies (and supporting facilities) are assessed: a heavy-water reactor, a light-water reactor, and a modular high-temperature gas-cooled reactor. Impacts of the no-action alternative also are assessed. The EIS evaluates impacts related to air quality; noise levels; surface water, groundwater, and wetlands; land use; recreation; visual environment; biotic resources; historical, archaeological, and cultural resources; socioeconomics; transportation; waste management; and human health and safety. The EIS describes in detail the potential radioactive releases from new production reactors and support facilities and assesses the potential doses to workers and the general public. This volume contains 15 appendices.

  9. Non-Economic Obstacles to Wind Deployment: Issues and Regional Differences (Presentation)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2014-05-01T23:59:59.000Z

    This presentation provides an overview of national obstacles to wind deployment, with regional assessments. A special mention of offshore projects and distributed wind projects is provided. Detailed maps examine baseline capacity, military and flight radar, golden and bald eagle habitat, bat habitat, whooping crane habitat, and public lands. Regional deployment challenges are also discussed.

  10. A Methodology to Assess the Value of Integrated Hydropower and Wind Generation

    E-Print Network [OSTI]

    the necessary balancing reserves for wind. Hydropower's flexibility and capacity are limited, however, by non-power resources that can adjust their output rapidly to keep power supply in balance with demand. HydropowerA Methodology to Assess the Value of Integrated Hydropower and Wind Generation by Mitch A. Clement

  11. 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.

  12. New National Wind Potential Estimates for Modern and Near-Future Turbine Technologies (Poster)

    SciTech Connect (OSTI)

    Roberts, J. O.

    2014-01-01T23:59:59.000Z

    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.

  13. Proposed Columbia Wind Farm No. 1 : Draft Environmental Impact Statement, Joint NEPA/SEPA.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration; Klickitat County (Wash.)

    1995-03-01T23:59:59.000Z

    This Draft Environmental Impact Statement (DEIS) addresses the Columbia Wind Farm {number_sign}1 (Project) proposal for construction and operation of a 25 megawatt (MW) wind power project in the Columbia Hills area southeast of Goldendale in Klickitat County, Washington. The Project would be constructed on private land by Conservation and Renewable Energy System (CARES) (the Applicant). An Environmental Impact Statement is required under both NEPA and SEPA guidelines and is issued under Section 102 (2) (C) of the National Environmental Policy Act (NEPA) at 42 U.S.C. 4321 et seq and under the Washington State Environmental Policy Act (SEPA) as provided by RCW 43.21C.030 (2) (c). Bonneville Power Administration is the NEPA lead agency; Klickitat County is the nominal SEPA lead agency and CARES is the SEPA co-lead agency for this DEIS. The Project site is approximately 395 hectares (975 acres) in size. The Proposed Action would include approximately 91 model AWT-26 wind turbines. Under the No Action Alternative, the Project would not be constructed and existing grazing and agricultural activities on the site would continue.

  14. Wind energy applications guide

    SciTech Connect (OSTI)

    anon.

    2001-01-01T23:59:59.000Z

    The brochure is an introduction to various wind power applications for locations with underdeveloped transmission systems, from remote water pumping to village electrification. It includes an introductory section on wind energy, including wind power basics and system components and then provides examples of applications, including water pumping, stand-alone systems for home and business, systems for community centers, schools, and health clinics, and examples in the industrial area. There is also a page of contacts, plus two specific example applications for a wind-diesel system for a remote station in Antarctica and one on wind-diesel village electrification in Russia.

  15. Wind tower service lift

    DOE Patents [OSTI]

    Oliphant, David; Quilter, Jared; Andersen, Todd; Conroy, Thomas

    2011-09-13T23:59:59.000Z

    An apparatus used for maintaining a wind tower structure wherein the wind tower structure may have a plurality of legs and may be configured to support a wind turbine above the ground in a better position to interface with winds. The lift structure may be configured for carrying objects and have a guide system and drive system for mechanically communicating with a primary cable, rail or other first elongate member attached to the wind tower structure. The drive system and guide system may transmit forces that move the lift relative to the cable and thereby relative to the wind tower structure. A control interface may be included for controlling the amount and direction of the power into the guide system and drive system thereby causing the guide system and drive system to move the lift relative to said first elongate member such that said lift moves relative to said wind tower structure.

  16. Wind energy conversion system

    DOE Patents [OSTI]

    Longrigg, Paul (Golden, CO)

    1987-01-01T23:59:59.000Z

    The wind energy conversion system includes a wind machine having a propeller connected to a generator of electric power, the propeller rotating the generator in response to force of an incident wind. The generator converts the power of the wind to electric power for use by an electric load. Circuitry for varying the duty factor of the generator output power is connected between the generator and the load to thereby alter a loading of the generator and the propeller by the electric load. Wind speed is sensed electro-optically to provide data of wind speed upwind of the propeller, to thereby permit tip speed ratio circuitry to operate the power control circuitry and thereby optimize the tip speed ratio by varying the loading of the propeller. Accordingly, the efficiency of the wind energy conversion system is maximized.

  17. West Winds 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 GlobalJump to: navigation,Goff,Holt WindInformationWestWinds Wind

  18. Utilization of Wind Energy at High Altitude

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-10T23:59:59.000Z

    Ground based, wind energy extraction systems have reached their maximum capability. The limitations of current designs are: wind instability, high cost of installations, and small power output of a single unit. The wind energy industry needs of revolutionary ideas to increase the capabilities of wind installations. This article suggests a revolutionary innovation which produces a dramatic increase in power per unit and is independent of prevailing weather and at a lower cost per unit of energy extracted. The main innovation consists of large free-flying air rotors positioned at high altitude for power and air stream stability, and an energy cable transmission system between the air rotor and a ground based electric generator. The air rotor system flies at high altitude up to 14 km. A stability and control is provided and systems enable the changing of altitude. This article includes six examples having a high unit power output (up to 100 MW). The proposed examples provide the following main advantages: 1. Large power production capacity per unit - up to 5,000-10,000 times more than conventional ground-based rotor designs; 2. The rotor operates at high altitude of 1-14 km, where the wind flow is strong and steady; 3. Installation cost per unit energy is low. 4. The installation is environmentally friendly (no propeller noise). -- * Presented in International Energy Conversion Engineering Conference at Providence., RI, Aug. 16-19. 2004. AIAA-2004-5705. USA. Keyword: wind energy, cable energy transmission, utilization of wind energy at high altitude, air rotor, windmills, Bolonkin.

  19. Continuous Reliability Enhancement for Wind (CREW) database : wind plant reliability benchmark.

    SciTech Connect (OSTI)

    Hines, Valerie Ann-Peters; Ogilvie, Alistair B.; Bond, Cody R.

    2013-09-01T23:59:59.000Z

    To benchmark the current U.S. wind turbine fleet reliability performance and identify the major contributors to component-level failures and other downtime events, the Department of Energy funded the development of the Continuous Reliability Enhancement for Wind (CREW) database by Sandia National Laboratories. This report is the third annual Wind Plant Reliability Benchmark, to publically report on CREW findings for the wind industry. The CREW database uses both high resolution Supervisory Control and Data Acquisition (SCADA) data from operating plants and Strategic Power Systems' ORAPWind%C2%AE (Operational Reliability Analysis Program for Wind) data, which consist of downtime and reserve event records and daily summaries of various time categories for each turbine. Together, these data are used as inputs into CREW's reliability modeling. The results presented here include: the primary CREW Benchmark statistics (operational availability, utilization, capacity factor, mean time between events, and mean downtime); time accounting from an availability perspective; time accounting in terms of the combination of wind speed and generation levels; power curve analysis; and top system and component contributors to unavailability.

  20. the risk issue of wind measurement for wind turbine operation

    E-Print Network [OSTI]

    Leu, Tzong-Shyng "Jeremy"

    Sciences, National Taiwan University #12;outline Wind measurement in meteorology and wind farm design-related issues on wind turbine operation 3/31/2011 2 #12;WIND MEASUREMENT IN METEOROLOGY & WIND FARM DESIGN 3.brainybetty.com 11 wind farm at ChangHwa Coastal Industrial Park 70m wind tower 70m 50m 30m 10m #12;1 2 3 4 5 1 (70M

  1. Saving Megawatts with Voltage Optimization

    E-Print Network [OSTI]

    Wilson, T.; Bell, D.

    2010-01-01T23:59:59.000Z

    that had been installed at several electric utility distribution substations in the U.S. and Canada. These systems, being operated in Conservation Voltage Regulation mode, have provided significant energy conservation where they have been installed...

  2. European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production G. Giebel*, L. Landberg, Risoe National Roskilde, Denmark Abstract: The installed wind energy capacity in Europe today is 20 GW, while

  3. Forecast of Regional Power Output of Wind Turbines Hans Georg Beyer, Detlev Heinemann, Harald Mellinghoff, Kai Monnich, Hans-Peter Waldl

    E-Print Network [OSTI]

    Heinemann, Detlev

    Forecast of Regional Power Output of Wind Turbines Hans Georg Beyer, Detlev Heinemann, Harald of wind turbines connected to the public electricity grid will be intro- duced. Using this procedure and Northern Germany. At the moment, the installed capacity of wind turbines is in the order of magnitude

  4. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    shattering growth in installed capacity. Other sources ofyielding a cumulative installed capacity of distributed windfor 45%-50% of total installed capacity, in each of the two

  5. Statewide Air Emissions Calculations from Wind and Other Renewables. Summary Report.

    E-Print Network [OSTI]

    Haberl, J.S.; Baltazar, J.C.; Yazdani, B.; Claridge, D.; Do, S.L.; Oh, S.

    , the capacity of installed wind turbine totals was 12,372 MW with another 7,582 MW announced for new projects by 2016. Figure 1-1 shows the growth pattern of the installed wind power capacity in Texas and their power generation in the ERCOT region from...ESL-TR-14-07-01 STATEWIDE AIR EMISSIONS CALCULATIONS FROM WIND AND OTHER RENEWABLES SUMMARY REPORT A Report to the Texas Commission on Environmental Quality For the Period January 2013 December 2013 Jeff...

  6. The EPRI/DOE Utility Wind Turbine Performance Verification Program

    SciTech Connect (OSTI)

    Calvert, S.; Goldman, P. [Department of Energy, Washington, DC (United States); DeMeo, E.; McGowin, C. [Electric Power Research Inst., Palo Alto, CA (United States); Smith, B.; Tromly, K. [National Renewable Energy Lab., Golden, CO (United States)

    1997-01-01T23:59:59.000Z

    In 1992, the Electric Power Research Institute (EPRI) and the US Department of Energy (DOE) initiated the Utility Wind Turbine Performance Verification Program (TVP). This paper provides an overview of the TVP, its purpose and goals, and the participating utility projects. Improved technology has significantly reduced the cost of energy from wind turbines since the early 1980s. In 1992, turbines were producing electricity for about $0.07--$0.09/kilowatt-hour (kWh) (at 7 m/s [16 mph sites]), compared with more than $0.30/kWh in 1980. Further technology improvements were expected to lower the cost of energy from wind turbines to $0.05/kWh. More than 17,000 wind turbines, totaling more than 1,500 MW capacity, were installed in the US, primarily in California and Hawaii. The better wind plants had availabilities above 95%, capacity factors exceeding 30%, and operation and maintenance costs of $0.01/kWh. However, despite improving technology, EPRI and DOE recognized that utility use of wind turbines was still largely limited to turbines installed in California and Hawaii during the 1980s. Wind resource assessments showed that other regions of the US, particularly the Midwest, had abundant wind resources. EPRI and DOE sought to provide a bridge from utility-grade turbine development programs under way to commercial purchases of the wind turbines. The TVP was developed to allow utilities to build and operate enough candidate turbines to gain statistically significant operating and maintenance data.

  7. A California generation capacity market

    SciTech Connect (OSTI)

    Conkling, R.L.

    1998-10-01T23:59:59.000Z

    California, overconfident with its new Power Exchange spot market, seems unaware that it could be afflicted by the same turmoil that bludgeoned the Midwest in June. An electricity capacity market should be put in place before crisis strikes. This article outlines a framework for adding an electricity capacity market in California. The new market would not create a new bureaucracy but would function within the state`s now operational PX and independent system operator (ISO) mechanisms. It would be an open market, in which capacity would be traded transparently, with freedom of entree for all willing sellers and all willing buyers.

  8. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    Wind energy assessment and wind farm simulation in Triunfo- Pernambuco, Brazil,wind resources for electrical energy production. Wind resources as- sessment of Brazil

  9. Sandia Energy - Wind & Water Power Newsletter

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

    Wind & Water Power Newsletter Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind & Water Power Newsletter Wind & Water Power NewsletterTara...

  10. 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 KEAs 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.

  11. Economic Development Impact of 1,000 MW of Wind Energy in Texas

    SciTech Connect (OSTI)

    Reategui, S.; Hendrickson, S.

    2011-08-01T23:59:59.000Z

    Texas has approximately 9,727 MW of wind energy capacity installed, making it a global leader in installed wind energy. As a result of the significant investment the wind industry has brought to Texas, it is important to better understand the economic development impacts of wind energy in Texas. This report analyzes the jobs and economic impacts of 1,000 MW of wind power generation in the state. The impacts highlighted in this report can be used in policy and planning decisions and can be scaled to get a sense of the economic development opportunities associated with other wind scenarios. This report can also inform stakeholders in other states about the potential economic impacts associated with the development of 1,000 MW of new wind power generation and the relationships of different elements in the state economy.

  12. 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

  13. Wind Engineering & Natural Disaster Mitigation

    E-Print Network [OSTI]

    Denham, Graham

    Wind Engineering & Natural Disaster Mitigation For more than 45 years, Western University has been internationally recognized as the leading university for wind engineering and wind- related research. Its of environmental disaster mitigation, with specific strengths in wind and earthquake research. Boundary Layer Wind

  14. Proceedings Nordic Wind Power Conference

    E-Print Network [OSTI]

    Estimation of Possible Power for Wind Plant Control Power Fluctuations from Offshore Wind Farms; Model Validation System grounding of wind farm medium voltage cable grids Faults in the Collection Grid of Offshore systems of wind turbines and wind farms. NWPC presents the newest research results related to technical

  15. Enabling Wind Power Nationwide

    Office of Environmental Management (EM)

    hub heights of 110 meters (m) (which are already in wide commercial deployment in Germany and other European countries), the technical potential for wind deployment is...

  16. Allegany County Wind Ordinance

    Broader source: Energy.gov [DOE]

    This ordinance sets requirements for industrial wind energy conversion systems. These requirements include minimum separation distances, setback requirements, electromagnetic interference analysis ...

  17. Talkin Bout Wind Generation

    Broader source: Energy.gov [DOE]

    The amount of electricity generated by the wind industry started to grow back around 1999, and since 2007 has been increasing at a rapid pace.

  18. Enabling Wind Power Nationwide

    Office of Environmental Management (EM)

    including natural gas, and competing renewable power resources such as solar photovoltaics. Figure 4-3. Wind turbine hub height trends in Germany from 2007 to 2014 Source:...

  19. 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.

  20. wind_guidance

    Broader source: Energy.gov [DOE]

    Guidance to Accompany Non-Availability Waiver of the Recovery Act Buy American Provisions for 5kW and 50kW Wind Turbines

  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. Vertical axis wind turbines

    DOE Patents [OSTI]

    Krivcov, Vladimir (Miass, RU); Krivospitski, Vladimir (Miass, RU); Maksimov, Vasili (Miass, RU); Halstead, Richard (Rohnert Park, CA); Grahov, Jurij (Miass, RU)

    2011-03-08T23:59:59.000Z

    A vertical axis wind turbine is described. The wind turbine can include a top ring, a middle ring and a lower ring, wherein a plurality of vertical airfoils are disposed between the rings. For example, three vertical airfoils can be attached between the upper ring and the middle ring. In addition, three more vertical airfoils can be attached between the lower ring and the middle ring. When wind contacts the vertically arranged airfoils the rings begin to spin. By connecting the rings to a center pole which spins an alternator, electricity can be generated from 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. Northern Wind Farm

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

    facilities to accommodate the interconnection. The EA also includes a review of the potential environmental impacts of Northern Wind, LLC, constructing, operating, and...

  5. Wind Power Today, 2010, Wind and Water Power Program (WWPP)

    SciTech Connect (OSTI)

    Not Available

    2010-05-01T23:59:59.000Z

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

  6. 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...

  7. Transmission Benefits of Co-Locating Concentrating Solar Power and Wind

    SciTech Connect (OSTI)

    Sioshansi, R.; Denholm, P.

    2012-03-01T23:59:59.000Z

    In some areas of the U.S. transmission constraints are a limiting factor in deploying new wind and concentrating solar power (CSP) plants. Texas is an example of one such location, where the best wind and solar resources are in the western part of the state, while major demand centers are in the east. The low capacity factor of wind is a compounding factor, increasing the relative cost of new transmission per unit of energy actually delivered. A possible method of increasing the utilization of new transmission is to co-locate both wind and concentrating solar power with thermal energy storage. In this work we examine the benefits and limits of using the dispatachability of thermal storage to increase the capacity factor of new transmission developed to access high quality solar and wind resources in remote locations.

  8. CALCULATING EMISSIONS REDUCTIONS FROM RENEWABLE ENERGY PROGRAMS AND ITS APPLICATION TO THE WIND FARMS IN THE TEXAS ERCOT REGION

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J.; Baltazar, J. C.; Culp, C.; Yazdani, B.; Chandrasekaran, V.

    In August 2008 the Texas State Legislature required adding 5,880 MW of generating capacity from renewable energy technologies by 2015, and 500 MW from non-wind renewables. This legislation also required the Public Utility Commission (PUC...

  9. CALCULATING EMISSIONS REDUCTIONS FROM RENEWABLE ENERGY PROGRAMS AND ITS APPLICATION TO THE WIND FARMS IN THE TEXAS ERCOT REGION

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J.; Baltazar, J. C.; Culp, C.; Yazdani, B.; Chandrasekaran, V.

    2008-01-01T23:59:59.000Z

    In August 2008 the Texas State Legislature required adding 5,880 MW of generating capacity from renewable energy technologies by 2015, and 500 MW from non-wind renewables. This legislation also required the Public Utility Commission (PUC...

  10. Wind turbulence characterization for wind energy development

    SciTech Connect (OSTI)

    Wendell, L.L.; Gower, G.L.; Morris, V.R.; Tomich, S.D.

    1991-09-01T23:59:59.000Z

    As part of its support of the US Department of Energy's (DOE's) Federal Wind Energy Program, the Pacific Northwest Laboratory (PNL) has initiated an effort to work jointly with the wind energy community to characterize wind turbulence in a variety of complex terrains at existing or potential sites of wind turbine installation. Five turbulence characterization systems were assembled and installed at four sites in the Tehachapi Pass in California, and one in the Green Mountains near Manchester, Vermont. Data processing and analyses techniques were developed to allow observational analyses of the turbulent structure; this analysis complements the more traditional statistical and spectral analyses. Preliminary results of the observational analyses, in the rotating framework or a wind turbine blade, show that the turbulence at a site can have two major components: (1) engulfing eddies larger than the rotor, and (2) fluctuating shear due to eddies smaller than the rotor disk. Comparison of the time series depicting these quantities at two sites showed that the turbulence intensity (the commonly used descriptor of turbulence) did not adequately characterize the turbulence at these sites. 9 refs., 10 figs.,

  11. 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....

  12. American Wind Energy Association Wind Energy Finance and Investment Seminar

    Broader source: Energy.gov [DOE]

    The American Wind Energy Association Wind Energy Finance and Investment Seminar will be attended by representatives in the financial sector, businesses, bankers, government and other nonprofit...

  13. WIND POWER PROGRAM WIND PROGRAM ACCOMPLISHMENTS U.S. Department...

    Office of Environmental Management (EM)

    capturing more wind than ever before through the installation of innovative offshore wind turbines and systems in U.S. waters, the Atmosphere to Electrons initiative which...

  14. Public Acceptance of Wind: Foundational Study Near US Wind Facilities

    Wind Powering America (EERE)

    Group * Energy Analysis and Environmental Impacts Department Public Acceptance of Wind Power Ben Hoen Lawrence Berkeley National Laboratory WindExchange Webinar June 17, 2015...

  15. 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...

  16. Dynamics of the Thermohaline Circulation under Wind forcing

    E-Print Network [OSTI]

    Hongjun Gao; Jinqiao Duan

    2001-08-12T23:59:59.000Z

    The ocean thermohaline circulation, also called meridional overturning circulation, is caused by water density contrasts. This circulation has large capacity of carrying heat around the globe and it thus affects the energy budget and further affects the climate. We consider a thermohaline circulation model in the meridional plane under external wind forcing. We show that, when there is no wind forcing, the stream function and the density fluctuation (under appropriate metrics) tend to zero exponentially fast as time goes to infinity. With rapidly oscillating wind forcing, we obtain an averaging principle for the thermohaline circulation model. This averaging principle provides convergence results and comparison estimates between the original thermohaline circulation and the averaged thermohaline circulation, where the wind forcing is replaced by its time average. This establishes the validity for using the averaged thermohaline circulation model for numerical simulations at long time scales.

  17. 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.

  18. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    and the drop in wind power plant installations, for example,the decrease in new wind power plant construction. A GrowingRelative Economics of Wind Power Plants Installed in Recent

  19. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    and the drop in wind power plant installations since 2009and the drop in wind power plant installations since 2009towers used in U.S. wind power plants increases from 80% in

  20. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    ET2/TL-08-1474. May 19, 2010 Wind Technologies Market ReportAssociates. 2010. SPP WITF Wind Integration Study. Little10, 2010. David, A. 2009. Wind Turbines: Industry and Trade

  1. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Associates. 2010. SPP WITF Wind Integration Study. LittlePool. David, A. 2011. U.S. Wind Turbine Trade in a Changing2011. David, A. 2010. Impact of Wind Energy Installations on

  2. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedused to estimate wind integration costs and the ability toColorado 2 GW and 3 GW Wind Integration Cost Study. Denver,

  3. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    Economic Analysis of a Wind Farm in Nantucket Sound. BeaconP. and Mueller, A. (2010) Wind Farm Announcements and RuralProposed Rail Splitter Wind Farm. Prepared for Hinshaw &

  4. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    AWEAs Wind Energy Weekly, DOE/EPRIs Turbine Verification10% Wind Energy Penetration New large-scale 10 wind turbineswind energy became more challenging, orders for new turbines

  5. Wind Farms in North America

    E-Print Network [OSTI]

    Hoen, Ben

    2014-01-01T23:59:59.000Z

    P. and Mueller, A. (2010) Wind Farm Announcements and RuralProposed Rail Splitter Wind Farm. Prepared for Hinshaw &Economic Analysis of a Wind Farm in Nantucket Sound. Beacon

  6. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    natural gas prices), pushed wind energy from the bottom toover the cost and price of wind energy that it receives. Asweighted-average price of wind energy in 1999 was $65/MWh (

  7. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    natural gas prices, though the economic value of wind energyenergy and climate policy initiatives. With wind turbine pricesprices reported here would be at least $20/MWh higher without the PTC), they do not represent wind energy

  8. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    weighted-average price of wind energy in 1999 was roughly $reduced near-term price expectations, wind energy?s primaryelectricity prices in 2009 pushed wind energy to the top of

  9. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    AWEA). 2010b. AWEA Small Wind Turbine Global Market Survey,html David, A. 2009. Wind Turbines: Industry and Tradewhich new large-scale wind turbines were installed in 2009 (

  10. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    shows that 8.5% of potential wind energy generation withinin GWh (and as a % of potential wind generation) Electricreport also laid out a potential wind power deployment path

  11. Analyzing the Effects of Temporal Wind Patterns on the Value ofWind-Generated Electricity at Different Sites in California and theNorthwest

    SciTech Connect (OSTI)

    Fripp, Matthias; Wiser, Ryan

    2006-05-31T23:59:59.000Z

    Wind power production varies on a diurnal and seasonal basis. In this report, we use wind speed data modeled by TrueWind Solutions, LLC (now AWS Truewind) to assess the effects of wind timing on the value of electric power from potential wind farm locations in California and the Northwest. (Data from this dataset are referred to as ''TrueWind data'' throughout this report.) The intra-annual wind speed variations reported in the TrueWind datasets have not previously been used in published work, however, so we also compare them to a collection of anemometer wind speed measurements and to a limited set of actual wind farm production data. The research reported in this paper seeks to answer three specific questions: (1) How large of an effect can the temporal variation of wind power have on the value of wind in different wind resource areas? (2) Which locations are affected most positively or negatively by the seasonal and diurnal timing of wind speeds? (3) How compatible are wind resources in the Northwest and California with wholesale power prices and loads in either region? The latter question is motivated by the fact that wind power projects in the Northwest could sell their output into California (and vice versa), and that California has an aggressive renewable energy policy that may ultimately yield such imports. Based on our research, we reach three key conclusions. (1) Temporal patterns have a moderate impact on the wholesale market value of wind power and a larger impact on the capacity factor during peak hours. The best-timed wind power sites have a wholesale market value that is up to 4 percent higher than the average market price, while the worst-timed sites have a market value that is up to 11 percent below the average market price. The best-timed wind sites could produce as much as 30-40 percent more power during peak hours than they do on average during the year, while the worst timed sites may produce 30-60 percent less power during peak hours. (2) Northwestern markets appear to be well served by Northwestern wind and poorly served by California wind; results are less clear for California markets. Both the modeled TrueWind data and the anemometer data indicate that many Northwestern wind sites are reasonably well-matched to the Northwest's historically winter-peaking wholesale electricity prices and loads, while most California sites are poorly matched to these prices and loads. However, the TrueWind data indicate that most California and Northwestern wind sites are poorly matched to California's summer-afternoon-peaking prices and loads, while the anemometer data suggest that many of these same sites are well matched to California's wholesale prices and loads. (3) TrueWind and anemometer data agree about wind speeds in most times and places, but disagree about California's summer afternoon wind speeds: The TrueWind data indicate that wind speeds at sites in California's coastal mountains and some Northwestern locations dip deeply during summer days and stay low through much of the afternoon. In contrast, the anemometer data indicate that winds at these sites begin to rise during the afternoon and are relatively strong when power is needed most. At other times and locations, the two datasets show good agreement. This disagreement may be due in part to time-varying wind shear between the anemometer heights (20-25m) and the TrueWind reference height (50m or 70m), but may also be due to modeling errors or data collection inconsistencies.

  12. Carbon smackdown: wind warriors

    SciTech Connect (OSTI)

    Glen Dahlbacka of the Accelerator & Fusion Research Division and Ryan Wiser of the Environmental Energy Technologies Division are the speakers.

    2010-07-21T23:59:59.000Z

    July 16. 2010 carbon smackdown summer lecture: learn how Berkeley Lab scientists are developing wind turbines to be used in an urban setting, as well as analyzing what it will take to increase the adoption of wind energy in the U.S.

  13. VARIABLE SPEED WIND TURBINE

    E-Print Network [OSTI]

    Chatinderpal Singh

    Wind energy is currently the fastest-growing renewable source of energy in India; India is a key market for the wind industry, presenting substantial opportunities for both the international and domestic players. In India the research is carried out on wind energy utilization on big ways.There are still many unsolved challenges in expanding wind power, and there are numerous problems of interest to systems and control researchers. In this paper we study the pitch control mechanism of wind turbine. The pitch control system is one of the most widely used control techniques to regulate the output power of a wind turbine generator. The pitch angle is controlled to keep the generator power at rated power by reducing the angle of the blades. By regulating, the angle of stalling, fast torque changes from the wind will be reutilized. It also describes the design of the pitch controller and discusses the response of the pitch-controlled system to wind velocity variations. The pitch control system is found to have a large output power variation and a large settling time.

  14. Small Wind Information (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Powering America initiative maintains a website section devoted to information about small wind turbines for homeowners, ranchers, and small businesses. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to this online resource.

  15. Carbon smackdown: wind warriors

    ScienceCinema (OSTI)

    Glen Dahlbacka of the Accelerator & Fusion Research Division and Ryan Wiser of the Environmental Energy Technologies Division are the speakers.

    2010-09-01T23:59:59.000Z

    July 16. 2010 carbon smackdown summer lecture: learn how Berkeley Lab scientists are developing wind turbines to be used in an urban setting, as well as analyzing what it will take to increase the adoption of wind energy in the U.S.

  16. Diablo Winds 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 being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05bGabbs TypeWinds Wind Farm Jump to:

  17. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    regulation and frequency response services charge for wind energyRegulation and Frequency Response Service that charges a higher rate for wind energy

  18. Wind Events | Department of Energy

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

    Below is an industry calendar with meetings, conferences, and webinars of interest to the wind energy technology communities. IEA Wind Task 34 (WREN) Quarterly Webinar 3:...

  19. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    AWEAs Wind Energy Weekly, DOE/EPRIs Turbine VerificationTurbine Global Market Study: Year Ending 2008. Washington, DC: American Wind Energy

  20. Wind Energy Resources and Technologies

    Broader source: Energy.gov [DOE]

    This page provides a brief overview of wind energy resources and technologies supplemented by specific information to apply wind energy within the Federal sector.