Sample records for 30-m height wind

  1. Wind Turbine Towers Establish New Height Standards and Reduce...

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

    Wind Turbine Towers Establish New Height Standards and Reduce Cost of Wind Energy Wind Turbine Towers Establish New Height Standards and Reduce Cost of Wind Energy Case study that...

  2. Offshore Series Wind Turbine Variable Hub heights & rotor diameters

    E-Print Network [OSTI]

    Firestone, Jeremy

    3.6MW Offshore Series Wind Turbine GE Energy #12;Feature Variable Hub heights & rotor diameters-savings feature, considering the rigors of offshore power generation. The 3.6 MW offshore wind turbine also, for both on and offshore use. Special features include... As the world's first commercially available wind

  3. Wind Turbine Inspection Technology Reaches New Heights | GE Global...

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

    Wind Turbine Inspection Technology Reaches New Heights Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new...

  4. U.S. Wind Manufacturing: Taller Hub Heights to Access Higher...

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

    U.S. Wind Manufacturing: Taller Hub Heights to Access Higher Wind Resources and Lower Cost of Energy U.S. Wind Manufacturing: Taller Hub Heights to Access Higher Wind Resources and...

  5. Providence Heights 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 Jump to:ID8/OrganizationTechProbSolutions JumpInformation forProtiumHeights

  6. Wind Shear and Turbulence Profiles at Elevated Heights: Great Lakes and Midwest Sites (Poster)

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; Scott, G.

    2009-05-01T23:59:59.000Z

    Analyzed wind resource characteristics at elevated heights (50 m-200+m) incuding shear and turbulence profiles for some areas of the Great Lakes and M idwest sites.

  7. On the study of wind energy at great heights using remote sensing techniques

    E-Print Network [OSTI]

    On the study of wind energy at great heights using remote sensing techniques Alfredo Pe~na1 by the wind energy industry due to the high sensitivity that the wind characteristics have on the performance Dong energy, Dong Energy, Kraftværksvej 53, DK-7000, Fredericia, Denmark e-mail: alfredo

  8. Wind Industry Soars to New Heights | Department of Energy

    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 Soars to New

  9. LiDAR observations of offshore winds at future wind turbine operating heights

    E-Print Network [OSTI]

    at the Horns Rev offshore wind farm. The influence of atmospheric stability on the surface layer wind shear of offshore wind farms in the coming years. In contrast with the situation over land, the knowledge turbine manufacturers and wind farm developers, although the offshore environment represents other

  10. Wind Turbine Towers Establish New Height Standards and Reduce Cost of Wind

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

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

  11. Analysis of mixing layer heights inferred from radiosonde, wind profiler, airborne lidar, airborne microwave temperature profiler, and in-situ aircraft data during the Texas 2000 air quality study in Houston, TX

    E-Print Network [OSTI]

    Smith, Christina Lynn

    2005-08-29T23:59:59.000Z

    ................................................................................................................ 119 ix LIST OF FIGURES FIGURE Page 1 The diurnal evolution of the PBL modified from Stull, 1988........... 1 2 The Houston area with wind profiler and radiosonde sites............... 13... plot of wind profiler and lidar ML heights............................ 63 13 Standard Deviation between the MTP algorithm ML heights and wind profiler ML heights for all the sites combined .................. 70 14 Box and Whiskers Plots...

  12. 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

  13. 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

  14. A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height ADAM J. DEPPE AND WILLIAM A. GALLUS JR.

    E-Print Network [OSTI]

    McCalley, James D.

    . 1. Introduction In recent years, wind energy production has under- gone rapid growth, and the U over both space and time. Therefore, the production rates of wind energy fluctuate more strongly than percentage of total power per capita coming from wind energy in 2010 (Department of Energy 2010). Even fewer

  15. Large-scale 700 hPa Height Patterns Associated with Cyclone Passage and Strong Winds on Lake Erie

    E-Print Network [OSTI]

    University of Michigan Ann Arbor, Michigan 48109 ABSTRACT. The difference in 700 hPa height patterns Commonwealth Blvd. Ann Arbor, Michigan 48105 2Cooperative Institute for Limnology and Ecosystems Research biological effects (Lam and Schertzer 1987). They can also affect the formation and transport of ice. Hence

  16. Wind Energy Development & Wildlife Striving for Co-existence

    E-Print Network [OSTI]

    McCalley, James D.

    Wind Energy Development & Wildlife ­ Striving for Co-existence Caroline Jezierski Nebraska Wind #12;Wind Energy Potential @ 30m http://www.nrel.gov/gis/images/30m_US_Wind.jpg #12;Wind Energy Potential @ 50m http://www.nrel.gov/gis/images/US-50m-wind-power-map.jpg #12;Wind Energy Potential @ 80m

  17. Activit bolomtres pour le 30m Pico Veleta

    E-Print Network [OSTI]

    Leclercq, Samuel

    Activité bolomètres pour le 30m à Pico Veleta Samuel Leclercq Journal-club IRAM 13/06/07 #12;Menu = puissance si faible que plusieurs sources apparaissent au même endroit · Bruit thermodynamique (Johnson

  18. 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

  19. 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...

  20. 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:...

  1. Wind information derived from hot air

    E-Print Network [OSTI]

    Haak, Hein

    Wind information derived from hot air balloon flights for use in short term wind forecasts E Introduction/Motivation Hot air balloons as wind measuring device Setup of nested HIRLAM models Results · Three, The Nertherlands #12;Hot air balloon ·Displacement/time unit = wind speed ·Vertical resolution 30m ·Inertia (500 kg

  2. heap height (ft) box height (ft)

    E-Print Network [OSTI]

    heap height (ft) box height (ft) width (ft) length (ft) Best Environmental Management Practices it analyzed to determine the nutrient content of each sample; and 4. Calculate the amount of manure rates and patterns, depending on speed and/or power take-off (PTO) speed, gearbox settings, gate

  3. Driver eye height measurement

    E-Print Network [OSTI]

    Abrahamson, Anthony Daniel

    1978-01-01T23:59:59.000Z

    DRIVER EYF HEIGHT MFASHRFMENT A Thesis by ANTHONY DANIEL ABRAHAMSON Submitted to the Graduate College of Texas A&M Hniversity in partial fulfillment oi the requirement for the degree of MASTER OF SCIENCE December 1978 Major Subje"t: Civil... Engineering DRIVER EYE HEIGHT MEASUREMENT A Thesis by ANTHONY DANIEL ABRAHAMSON Approved as to style and content by: I (C irman of Committee) (Member) (Memb er ) Head of Department) December 1978 ABSTRACT Driver. Eye Height Neasurement. (December...

  4. Wavelet Analysis for Wind Fields Estimation

    E-Print Network [OSTI]

    Leite, Gladeston C.

    2013-01-01T23:59:59.000Z

    W. ; Feser, F. Relationship between SAR-derived wind vectorsand wind at 10- m height represented by a meososcale model.Yijun, H. Comparison of two wind algorithms of ENVISAT ASAR

  5. Demonstration of detuned dual recycling at the Garching 30m laser interferometer

    E-Print Network [OSTI]

    A. Freise; G. Heinzel; K. A. Strain; J. Mizuno; K. D. Skeldon; H. Lueck; B. Willke; R. Schilling; A. Ruediger; W. Winkler; K. Danzmann

    2000-10-19T23:59:59.000Z

    Dual recycling is an advanced optical technique to enhance the signal-to-noise ratio of laser interferometric gravitational wave detectors in a limited bandwidth. To optimise the center of this band with respect to Fourier frequencies of expected gravitational wave signals detuned dual recycling has to be implemented. We demonstrated detuned dual recycling on a fully suspended 30m prototype interferometer. A control scheme that allows to tune the detector to different frequencies will be outlined. Good agreement between the experimental results and numerical simulations has been achieved.

  6. 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.

  7. Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at

    E-Print Network [OSTI]

    Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at larger heights above ground level? The wind resource at a wind farm can be estimated in two ways: by measurement or by modeling

  8. Wind Technology Advancements and Impacts on Western Wind Resources (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-09-01T23:59:59.000Z

    Robi Robichaud made this presentation at the Bureau of Land Management West-wide Wind Opportunities and Constraints Mapping (WWOCM) Project public meeting in Denver, Colorado in September 2014. This presentation outlines recent wind technology advancements, evolving turbine technologies, and industry challenges. The presentation includes maps of mean wind speeds at 50-m, 80-m, and 100-m hub heights on BLM lands. Robichaud also presented on the difference in mean wind speeds from 80m to 100m in Wyoming.

  9. A 30 mK, 13.5 T scanning tunneling microscope with two independent tips

    SciTech Connect (OSTI)

    Roychowdhury, Anita [Laboratory for Physical Sciences, College Park, Maryland 20742 (United States) [Laboratory for Physical Sciences, College Park, Maryland 20742 (United States); Center for Nanophysics and Advanced Materials, Department of Physics, University of Maryland, College Park, Maryland 20740 (United States); Gubrud, M. A.; Dana, R.; Dreyer, M. [Laboratory for Physical Sciences, College Park, Maryland 20742 (United States)] [Laboratory for Physical Sciences, College Park, Maryland 20742 (United States); Anderson, J. R.; Lobb, C. J.; Wellstood, F. C. [Center for Nanophysics and Advanced Materials, Department of Physics, University of Maryland, College Park, Maryland 20740 (United States)] [Center for Nanophysics and Advanced Materials, Department of Physics, University of Maryland, College Park, Maryland 20740 (United States)

    2014-04-15T23:59:59.000Z

    We describe the design, construction, and performance of an ultra-low temperature, high-field scanning tunneling microscope (STM) with two independent tips. The STM is mounted on a dilution refrigerator and operates at a base temperature of 30 mK with magnetic fields of up to 13.5 T. We focus on the design of the two-tip STM head, as well as the sample transfer mechanism, which allows in situ transfer from an ultra high vacuum preparation chamber while the STM is at 1.5 K. Other design details such as the vibration isolation and rf-filtered wiring are also described. Their effectiveness is demonstrated via spectral current noise characteristics and the root mean square roughness of atomic resolution images. The high-field capability is shown by the magnetic field dependence of the superconducting gap of Cu{sub x}Bi{sub 2}Se{sub 3}. Finally, we present images and spectroscopy taken with superconducting Nb tips with the refrigerator at 35 mK that indicate that the effective temperature of our tips/sample is approximately 184 mK, corresponding to an energy resolution of 16 ?eV.

  10. Wind-Blown Sand: Threshold of Motion

    E-Print Network [OSTI]

    Swann, Christy Michelle

    2014-11-12T23:59:59.000Z

    ....................................................................................... 43 13 Bedload trap designed for this study .................................................................................. 45 14 Schematic of internal adjustable chimney adjusted to the height of the surface... predicting the threshold for wind-blown sand in natural environments are rooted in the original wind tunnel work of Bagnold (1936). He introduced an empirically-calibrated model of the threshold using shear velocity, 𝑢?: a height independent variable...

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

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    this study, wind energy potential for turbines at 80m, 100m,wind energy potential due to better technology in the form of higher efficiency, hub heights, and sizes of wind turbines.wind energy potential is higher than currently believed. Those aspects are 1) the rapidly improving wind turbine

  12. Wind shear for large wind turbine generators at selected tall tower sites

    SciTech Connect (OSTI)

    Elliott, D.L.

    1984-04-01T23:59:59.000Z

    The objective of the study described in this report is to examine the nature of wind shear profiles and their variability over the height of large horizontal-axis wind turbines and to provide information on wind shear relevant to the design and opertion of large wind turbines. Wind turbine fatigue life and power quality are related through the forcing functions on the blade to the shapes of the wind shear profiles and their fluctuations over the disk of rotation.

  13. Coupled dynamic analysis of floating offshore wind farms

    E-Print Network [OSTI]

    Shim, Sangyun

    2009-05-15T23:59:59.000Z

    it is economically feasible and technologically manageable. So far, most of the offshore wind farm research has been limited to fixed platforms in shallow-water areas. In the water depth deeper than 30m, however, floating-type wind farms tend to be more feasible...

  14. Economic assessment of small-scale electricity generation from wind

    E-Print Network [OSTI]

    McAllister, Kristen Dawn

    2007-09-17T23:59:59.000Z

    10 kW wind turbine on a 30m tower was installed and five different scenarios were calculated for both locations. Wind speeds for both locations were collected and analyzed to find the closest fitting distribution to incorporate the appropriate risk...

  15. Coupled dynamic analysis of floating offshore wind farms 

    E-Print Network [OSTI]

    Shim, Sangyun

    2009-05-15T23:59:59.000Z

    it is economically feasible and technologically manageable. So far, most of the offshore wind farm research has been limited to fixed platforms in shallow-water areas. In the water depth deeper than 30m, however, floating-type wind farms tend to be more feasible...

  16. High temperature thermoelectric properties of Czochralski-pulled Ba8Ga16Ge30 M. Christensen1

    E-Print Network [OSTI]

    High temperature thermoelectric properties of Czochralski-pulled Ba8Ga16Ge30 M. Christensen1 , G, Pasadena, California 91125 Abstract High temperature thermoelectric properties have been measured/m-K around 900K, and ZT reaches a maximum of 0.9 at 1000 K. Introduction The interest in thermoelectric

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

    SciTech Connect (OSTI)

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

    2014-04-09T23:59:59.000Z

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

  18. 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...

  19. 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...

  20. WInd engineering and Renewable Energy laboratory Gnie Mcanique

    E-Print Network [OSTI]

    Lausanne, Ecole Polytechnique Fédérale de

    turbine for heights comparable to the top-tip of the blades. The effect of wind farm layout on power and roughness to adjust the boundary layer. WIND TURBINE MODEL · 3-bladed GSW; D = diameter=152 mm; · h = hub in the WIRE group, consists in performing wind tunnel investigations on wind turbines with horizontal axis

  1. DOE Taking Wind Forecasting to New Heights | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014ContributingDOE Contract DOEEnergy Site FacilityTrucks

  2. 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.

  3. Height fluctuations in interacting dimers

    E-Print Network [OSTI]

    Alessandro Giuliani; Vieri Mastropietro; Fabio Lucio Toninelli

    2015-05-05T23:59:59.000Z

    We consider a non-integrable model for interacting dimers on the two-dimensional square lattice. Configurations are perfect matchings of $\\mathbb Z^2$, i.e. subsets of edges such that each vertex is covered exactly once ("close-packing" condition). Dimer configurations are in bijection with discrete height functions, defined on faces $\\boldsymbol{\\xi}$ of $\\mathbb Z^2$. The non-interacting model is "integrable" and solvable via Kasteleyn theory; it is known that all the moments of the height difference $h_{\\boldsymbol{\\xi}}-h_{\\boldsymbol{\\eta}}$ converge to those of the massless Gaussian Free Field (GFF), asymptotically as $|{\\boldsymbol{\\xi}}-{\\boldsymbol{\\eta}}|\\to \\infty$. We prove that the same holds for small non-zero interactions, as was conjectured in the theoretical physics literature. Remarkably, dimer-dimer correlation functions are instead not universal and decay with a critical exponent that depends on the interaction strength. Our proof is based on an exact representation of the model in terms of lattice interacting fermions, which are studied by constructive field theory methods. In the fermionic language, the height difference $h_{\\boldsymbol{\\xi}}-h_{\\boldsymbol{\\eta}}$ takes the form of a non-local operator, consisting of a sum of monomials along an {\\it arbitrary} path connecting $\\boldsymbol{\\xi}$ and $\\boldsymbol{\\eta}$. As in the non-interacting case, this path-independence plays a crucial role in the proof.

  4. 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. Wächter ForWind-Center for Wind

  5. American Institute of Aeronautics and Astronautics Wind Shear over Forested Areas

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    . Rogers* , James F. Manwell and Anthony F. Ellis Renewable Energy Research Laboratory, University The Renewable Energy Research Laboratory at the University of Massachusetts has been collecting data = wind speed at reference measurement height z = measurement height above ground zref = reference

  6. Improved diagnostic model for estimating wind energy

    SciTech Connect (OSTI)

    Endlich, R.M.; Lee, J.D.

    1983-03-01T23:59:59.000Z

    Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

  7. Characterization of wind power resource in the United States*

    E-Print Network [OSTI]

    Characterization of wind power resource in the United States* U. Bhaskar Gunturu and C. Adam Chemistry and Physics Characterization of wind power resource in the United States U. B. Gunturu and C. A, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar

  8. Windsor Heights, Iowa: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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

  9. Estimating vehicle height using homographic projections

    DOE Patents [OSTI]

    Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter

    2013-07-16T23:59:59.000Z

    Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.

  10. Irregular wave runup and overtopping of revetments in the presence of wind 

    E-Print Network [OSTI]

    Cinotto, Charles Matthew

    1998-01-01T23:59:59.000Z

    not include the effects of strong onshore winds associated with the storms considered in the design conditions. The present study attempts to quantify the effects of onshore wind on irregular wave sunup heights and overtopping rates on revetments for various...

  11. Wind profile above the surface boundary layer S.-E. Gryning (1), E. Batchvarova (2) and B. Brmmer (3)

    E-Print Network [OSTI]

    Wind profile above the surface boundary layer S.-E. Gryning (1), E. Batchvarova (2) and B. Brümmer in predictions of the wind profile in the lowest hundreds me- ters of the atmosphere, being connected to the general increase in height of structures such as bridges, high houses and wind turbines. The hub height

  12. 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...

  13. Blandford MTA Tower Wind Monitoring This document provides information not repeated in the monthly wind monitoring

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Blandford MTA Tower Wind Monitoring This document provides information not repeated in the monthly on the Massachusetts Turnpike Authority (MTA) tower at Blandford. A wind vane and two anemometers are located at two heights on the tower: 60 m and 40 m. Details of the equipment and models are: · NRG model Symphonie

  14. Marion Meteorological Tower Wind Monitoring This document provides information not repeated in the monthly wind monitoring

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Marion Meteorological Tower Wind Monitoring This document provides information not repeated on the meteorological tower at Marion: Great Hill Dairy. A wind vane and two anemometers are located at two heights on the tower: 50 m and 38 m. Details of the equipment and models are: · NRG model Symphonie Cellogger · 4 ­ #40

  15. 8 The Numerical Wind Atlas for North-ern Portugal and Galicia

    E-Print Network [OSTI]

    Portugal and Gali- cia The simulations will be compared with data from the from the European Wind Atlas8 The Numerical Wind Atlas for North- ern Portugal and Galicia 8.1 Topography for Northern Portugal, 1500, 3100, and 5700 m. Geostrophic winds were calculated at these heights. The geostrophic wind

  16. 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

  17. INL Wind Farm Project Description Document

    SciTech Connect (OSTI)

    Gary Siefert

    2009-07-01T23:59:59.000Z

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

  18. Amplitude modulation of wind turbine noise

    E-Print Network [OSTI]

    Makarewicz, Rufin

    2013-01-01T23:59:59.000Z

    Due to swish and thump amplitude modulation, the noise of wind turbines cause more annoyance than other environmental noise of the same average level. The wind shear accounts for the thump modulation (van den Berg effect). Making use of the wind speed measurements at the hub height, as well as at the top and the bottom of the rotor disc (Fig.1), the non-standard wind profile is applied. It causes variations in the A-weighted sound pressure level, LpA. The difference between the maximum and minimum of LpA characterizes thump modulation (Fig.2).

  19. Raman lidar/AERI PBL Height Product

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

    Ferrare, Richard

    Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

  20. Lake Michigan Offshore Wind Feasibility Assessment

    SciTech Connect (OSTI)

    Boezaart, Arnold [GVSU; Edmonson, James [GVSU; Standridge, Charles [GVSU; Pervez, Nahid [GVSU; Desai, Neel [University of Michigan; Williams, Bruce [University of Delaware; Clark, Aaron [GVSU; Zeitler, David [GVSU; Kendall, Scott [GVSU; Biddanda, Bopi [GVSU; Steinman, Alan [GVSU; Klatt, Brian [Michigan State University; Gehring, J. L. [Michigan State University; Walter, K. [Michigan State University; Nordman, Erik E. [GVSU

    2014-06-30T23:59:59.000Z

    The purpose of this project was to conduct the first comprehensive offshore wind assessment over Lake Michigan and to advance the body of knowledge needed to support future commercial wind energy development on the Great Lakes. The project involved evaluation and selection of emerging wind measurement technology and the permitting, installation and operation of the first mid-lake wind assessment meteorological (MET) facilities in Michigan’s Great Lakes. In addition, the project provided the first opportunity to deploy and field test floating LIDAR and Laser Wind Sensor (LWS) technology, and important research related equipment key to the sitting and permitting of future offshore wind energy development in accordance with public participation guidelines established by the Michigan Great Lakes Wind Council (GLOW). The project created opportunities for public dialogue and community education about offshore wind resource management and continued the dialogue to foster Great Lake wind resource utilization consistent with the focus of the GLOW Council. The technology proved to be effective, affordable, mobile, and the methods of data measurement accurate. The public benefited from a substantial increase in knowledge of the wind resources over Lake Michigan and gained insights about the potential environmental impacts of offshore wind turbine placements in the future. The unique first ever hub height wind resource assessment using LWS technology over water and development of related research data along with the permitting, sitting, and deployment of the WindSentinel MET buoy has captured public attention and has helped to increase awareness of the potential of future offshore wind energy development on the Great Lakes. Specifically, this project supported the acquisition and operation of a WindSentinel (WS) MET wind assessment buoy, and associated research for 549 days over multiple years at three locations on Lake Michigan. Four research objectives were defined for the project including to: 1) test and validate floating LIDAR technology; 2) collect and access offshore wind data; 3) detect and measure bird and bat activity over Lake Michigan; 4) conduct an over water sound propagation study; 5) prepare and offer a college course on offshore energy, and; 6) collect other environmental, bathometric, and atmospheric data. Desk-top research was performed to select anchorage sites and to secure permits to deploy the buoy. The project also collected and analyzed data essential to wind industry investment decision-making including: deploying highly mobile floating equipment to gather offshore wind data; correlating offshore wind data with conventional on-shore MET tower data; and performing studies that can contribute to the advancement and deployment of offshore wind technologies. Related activities included: • Siting, permitting, and deploying an offshore floating MET facility; • Validating the accuracy of floating LWS using near shoreline cup anemometer MET instruments; • Assessment of laser pulse technology (LIDAR) capability to establish hub height measurement of wind conditions at multiple locations on Lake Michigan; • Utilizing an extended-season (9-10 month) strategy to collect hub height wind data and weather conditions on Lake Michigan; • Investigation of technology best suited for wireless data transmission from distant offshore structures; • Conducting field-validated sound propagation study for a hypothetical offshore wind farm from shoreline locations; • Identifying the presence or absence of bird and bat species near wind assessment facilities; • Identifying the presence or absence of benthic and pelagic species near wind assessment facilities; All proposed project activities were completed with the following major findings: • Floating Laser Wind Sensors are capable of high quality measurement and recordings of wind resources. The WindSentinel presented no significant operational or statistical limitations in recording wind data technology at a at a high confidence level as compared to traditional an

  1. Wind Turbine Towers Establish New Height Standards and Reduce Cost of Wind

    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 DensityEnergy U.S.-China Electric VehicleCenters | Department ofoftoMay 8, 2014Energy Turbine

  2. Wind Turbine Towers Establish New Height Standards and Reduce Cost of Wind Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofoftoMay 8, 2014Energy Turbineenabled

  3. Variation of Solar Attenuation with Height in CAPLTER The atmosphere over rural and urbanized areas differs in many ways in relation to terrain influences and human-induced variations (e.g., heat, humidity, wind, and pollution). The sun's energy penetrate

    E-Print Network [OSTI]

    Hall, Sharon J.

    Variation of Solar Attenuation with Height in CAPLTER Abstract The atmosphere over rural on amounts of solar energy that are accumulated at any given time. These controls range from extraterrestrial of variability cascade into plant productivity, solar energy technology, and urban climate processes, in general

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

    SciTech Connect (OSTI)

    Rodney Frehlich

    2012-10-30T23:59:59.000Z

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

  5. 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...

  6. 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.

  7. Limits to the power density of very large wind farms

    E-Print Network [OSTI]

    Nishino, Takafumi

    2013-01-01T23:59:59.000Z

    A simple analysis is presented concerning an upper limit of the power density (power per unit land area) of a very large wind farm located at the bottom of a fully developed boundary layer. The analysis suggests that the limit of the power density is about 0.38 times $\\tau_{w0}U_{F0}$, where $\\tau_{w0}$ is the natural shear stress on the ground (that is observed before constructing the wind farm) and $U_{F0}$ is the natural or undisturbed wind speed averaged across the height of the farm to be constructed. Importantly, this implies that the maximum extractable power from such a very large wind farm will not be proportional to the cubic of the wind speed at the farm height, or even the farm height itself, but be proportional to $U_{F0}$.

  8. Height modification in grain sorghum lines homozygous for four major height genes

    E-Print Network [OSTI]

    Thompson, Tommy Earl

    1970-01-01T23:59:59.000Z

    HEIGHT MODIFICATION IN GRAIN SORGHUM LINES HOMOZYGOUS FOR FOUR MAJOR HEIGHT GENES A Thesis by TOMMY EARL THOMPSON Approved as to style and content by: (Chairman of~Gommittge) ead o Department) c~~' (Member) r/ ?. cl + ' r EM '7Z' (Member...) January 1970 95Z941 111 AB S T RA C T Height "!odification i i Grain Sorghum Lines Homozygous for Four Flajor Height Genes. (January, 1970) Tommy E. I'hompson, B. S. , Te;&as ASFI University Directed by: Dr. K. F. Schertz Height in grain sorghum...

  9. Wind pressure distribution on shell structures

    E-Print Network [OSTI]

    Yancey, Kenneth Earl, Jr

    1963-01-01T23:59:59.000Z

    of calculating wind pressures on buildings is illustrated in the following example: it is desired to find the velocity pressure 35 feet above the ground at Corpus Christi, Texas. The following is known: Anemometer height 42 feet Desired lifetime of structure... at the height of the anemometer, 42 feet, proceed vertically to 98 miles per hour; then 100 90 80 70 60 o 50 ~c 40 g 30 20 40 35 30 25 e 20 3 15 -' o + 10 e 0 9 0 0) 0 z C + 0 0 ) o' 10 20 30 40 50 100 200 300 400 500 Height in Feet...

  10. Wind power application for low flow irrigation from the Edwards-Trinity aquifer of West Texas

    E-Print Network [OSTI]

    Molla, Saiful Islam

    1997-01-01T23:59:59.000Z

    Attempts were made to reduce the cost of energy for irrigation in West Texas. To do this two wind turbines of 10 kW size were installed in Garden City and Stiles, Texas to pump water. The turbines were installed on 30 m towers. The pumping water...

  11. Wind power application for low flow irrigation from the Edwards-Trinity aquifer of West Texas 

    E-Print Network [OSTI]

    Molla, Saiful Islam

    1997-01-01T23:59:59.000Z

    Attempts were made to reduce the cost of energy for irrigation in West Texas. To do this two wind turbines of 10 kW size were installed in Garden City and Stiles, Texas to pump water. The turbines were installed on 30 m towers. The pumping water...

  12. 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,...

  13. The WEI6K, a 6-kW 7-m Small Wind Turbine: Final Technical Report

    SciTech Connect (OSTI)

    Wetzel, Kyle K.; McCleer, Patrick J.; Hahlbeck, Edwin C.; DOE Project Office - Keith Bennett

    2006-07-21T23:59:59.000Z

    This project was selected by the U.S. Department of Energy under a DOE solicitation “Low Wind Speed Technology for Small Turbine Development.” The objective of this project has been to design a new small wind turbine with improved cost, reliability and performance in grid-connected residential and small business applications, in order to achieve the overall DOE goal of cost effectiveness in Class 3 wind resources that can now be achieved in Class 5 resources. The scope of work for this project has been to complete the preliminary design of an improved small wind turbine, including preliminary loads and strength analyses; analysis and design of all major components; systems integration and structural dynamic analysis; estimation of life-cycle cost of energy; and design documentation and review. The project did not entail hardware fabrication or testing. The WEI6K Turbine resulting from this project is an upwind horizontal-axis wind turbine rated at 6 kW. It features a 3-blade 7-m diameter rotor. The generator is a direct-drive permanent magnet synchronous machine generating 3-phase power at 240 VAC. The turbine is maintained oriented in to the wind via active yaw control using electromechanical servos. Power is regulated with active blade pitch control. The turbine is presently designed to be placed on a 100-foot (30m) tower. The turbine is predicted to generate electricity at a levelized cost of energy (COE) between 7.3 and 8.9 ¢/kWh at an IEC Class II site, with an average wind speed of 8.5 m/s at hub height, depending upon whether the customer uses a guyed truss tower (the lower figure) or a monopole tower. For the NREL Reference Site, with a mean wind speed of 5.35 m/s at 10 m height, the turbine would generate at a levelized cost of energy of between 9.7 and 11.9 ¢/kWh. The lowest of these numbers is presently competitive with retail electricity rates in most of the country. The 8.9 ¢/kWh is still competitive with retail rates in many regions of the country with high electricity costs. The study further concludes that several design changes could shave 10-14% from the cost of energy determined in the preliminary design. These changes include a new tower design that offers tilt-up capability without guy wires and takes better advantage of the lowered loads produced by pitch control; design a family of airfoils more appropriate for pitch regulation on a turbine of this size; tune the pitch controller properly to minimize shedding of power during turbulent operation in the transition from Region 2 to 3; value engineer the pitch system to shave costs, including consideration of a collective pitch system; and refine the design of the hub and main frame castings to minimize weight and cost. We are generally encouraged by the results. These preliminary numbers show that we can produce a turbine that is competitive with retail electric rates at relatively windy IEC Class II sites. With further improvements in the design, we believe the turbine could be competitive at sites with lesser wind resource.

  14. RESEARCH ARTICLE An experimental study of flow fields and wind loads on gable-roof

    E-Print Network [OSTI]

    Hu, Hui

    RESEARCH ARTICLE An experimental study of flow fields and wind loads on gable-roof building models the resultant wind loads acting on low-rise, gable-roof buildings induced by violent microburst-like winds State University. Two gable-roof building models with the same base plan and mean roof height

  15. The Estimated Global Ocean Wind Power Potential from QuikSCAT Observations, Accounting for Turbine

    E-Print Network [OSTI]

    Zender, Charles

    The Estimated Global Ocean Wind Power Potential from QuikSCAT Observations, Accounting for Turbine: (949) 824-3256 Abstract For the first time, global ocean usable wind power is evaluated for modern offshore turbine characteristics including hub height, usable portion of the wind speed distri- bution

  16. Determination of wind from Nimbus-6 satellite sounding data

    E-Print Network [OSTI]

    Carle, William Everett

    1979-01-01T23:59:59.000Z

    -level and surface wind fields from Nimbus-6 satellite sounding data are developed. These methods are evaluated by comparing satellite-derived and rawinsonde wind fields on gridded constant-pressure charts in four geographical regions. Satellite... interpolated to correspond in time to the satellite pass. Wind direction was interpolated through the smaller angle. t. d ttt' fplt*t' l~h' ht dg t th' ' d Fields of geopotential height were computed from gridded satellite data by integrating...

  17. PSR J0737-3039B: A PROBE OF RADIO PULSAR EMISSION HEIGHTS

    SciTech Connect (OSTI)

    Perera, B. B. P.; McLaughlin, M. A. [Department of Physics, West Virginia University, Morgantown, WV 26506 (United States); Lomiashvili, D.; Gourgouliatos, K. N.; Lyutikov, M. [Department of Physics, Purdue University, West Lafayette, IN 47907 (United States)

    2012-05-10T23:59:59.000Z

    In the double pulsar system PSR J0737-3039A/B, the strong wind produced by pulsar A distorts the magnetosphere of pulsar B. The influence of these distortions on the orbital-dependent emission properties of pulsar B can be used to determine the location of the coherent radio emission generation region in the pulsar magnetosphere. Using a model of the wind-distorted magnetosphere of pulsar B and the well-defined geometrical parameters of the system, we determine the minimum emission height to be {approx}20R{sub NS} in the two bright orbital longitude regions. We can determine the maximum emission height by accounting for the amount of deflection of the polar field line with respect to the magnetic axis using the analytical magnetic reconnection model of Dungey and the semi-empirical numerical model of Tsyganenko. Both of these models estimate the maximum emission height to be {approx}2500R{sub NS}. The minimum and maximum emission heights we calculate are consistent with those estimated for normal isolated pulsars.

  18. The height of watermelons with wall

    E-Print Network [OSTI]

    Thomas Feierl

    2012-04-11T23:59:59.000Z

    We derive asymptotics for the moments as well as the weak limit of the height distribution of watermelons with p branches with wall. This generalises a famous result of de Bruijn, Knuth and Rice on the average height of planted plane trees, and results by Fulmek and Katori et al. on the expected value, respectively the higher moments, of the height distribution of watermelons with two branches. The asymptotics for the moments depend on the analytic behaviour of certain multidimensional Dirichlet series. In order to obtain this information we prove a reciprocity relation satisfied by the derivatives of one of Jacobi's theta functions, which generalises the well known reciprocity law for Jacobi's theta functions.

  19. Height and width of superatomic Boolean algebras

    E-Print Network [OSTI]

    Roitman, Judith A.

    1985-05-02T23:59:59.000Z

    PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 94, Number 1, May 1985 HEIGHT AND WIDTH OF SUPERATOMIC BOOLEAN ALGEBRAS JUDY ROITMAN1 Abstract. Cantor-Bendixson height and width of superatomic Boolean algebras is investigated and it is shown.../Ja), and define the Cantor- Bendixson width of X, wd^), to be the supremum of all wda( X). An sBa X is (a) K-thin iff wd( X) = k. (Note: thin = w-thin.) (b) K-thin-thick iff wda(A') = k for a < k and wdK(X) = k+. (Note: thin-thick = to,-thin-thick + Just's thin...

  20. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

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

  1. 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

  2. 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?....................................................................

  3. Architecture TAKING ARCHITECTURE TO NEW HEIGHTS

    E-Print Network [OSTI]

    McConnell, Terry

    School of Architecture #12;TAKING ARCHITECTURE TO NEW HEIGHTS This is a time of tremendous momentum at the School of Architecture. Looking ahead, we have the unique opportunity to build on our strengths immediate and long term, and enable us to stake our ground as one of the country's premier architecture

  4. 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.

  5. 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...

  6. Turbine Inflow Characterization at the National Wind Technology Center: Preprint

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

    Utility-scale wind turbines operate in dynamic flows that can vary significantly over timescales from less than a second to several years. To better understand the inflow to utility-scale turbines, two inflow towers were installed and commissioned at the National Renewable Energy Laboratory's (NREL) National Wind Technology Center near Boulder, Colorado, in 2011. These towers are 135 m tall and instrumented with a combination of sonic anemometers, cup anemometers, wind vanes, and temperature measurements to characterize the inflow wind speed and direction, turbulence, stability and thermal stratification to two utility-scale turbines. Herein, we present variations in mean and turbulent wind parameters with height, atmospheric stability, and as a function of wind direction that could be important for turbine operation as well as persistence of turbine wakes. Wind speed, turbulence intensity, and dissipation are all factors that affect turbine performance. Our results shown that these all vary with height across the rotor disk, demonstrating the importance of measuring atmospheric conditions that influence wind turbine performance at multiple heights in the rotor disk, rather than relying on extrapolation from lower levels.

  7. 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...

  8. World Energy Congress, Sydney, Australia September 5-9, 2004 OFFSHORE WIND POWER: EASING A RENEWABLE

    E-Print Network [OSTI]

    of wind energy are discussed. 2. Offshore wind energy potential Le potentiel de l'énergie éolienne When.0 0.2 0.4 0.6 0.8 1.0 1.2 Relativeenergy onshoreoffshore Figure 1: Wind energy potential at height 10019 th World Energy Congress, Sydney, Australia September 5-9, 2004 1 OFFSHORE WIND POWER: EASING

  9. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect (OSTI)

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28T23:59:59.000Z

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  10. Wind Resource Assessment Report: Mille Lacs Indian Reservation, Minnesota

    SciTech Connect (OSTI)

    Jimenez, A. C.

    2013-12-01T23:59:59.000Z

    The U.S. Environmental Protection Agency (EPA) launched the RE-Powering America's Land initiative to encourage development of renewable energy on potentially contaminated land and mine sites. EPA collaborated with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) and the Mille Lacs Band of Chippewa Indians to evaluate the wind resource and examine the feasibility of a wind project at a contaminated site located on the Mille Lacs Indian Reservation in Minnesota. The wind monitoring effort involved the installation of a 60-m met tower and the collection of 18 months of wind data at multiple heights above the ground. This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and an assessment of the economic feasibility of a potential wind project sited this site.

  11. 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.

  12. 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

  13. 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.

  14. spectrum30m.eps

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

    region can either be a normal four dipole chicane, or a bunch compressor with multipole magnets as introduced in the following sections. 2.1 RF chirp The energy correlation...

  15. 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, Jørgen 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

  16. 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.

  17. 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

  18. Property:Height (m) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska:PrecourtOid Jump to:DocketFlowGpmGrossGen JumpRating JumpHeight (m)

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

    SciTech Connect (OSTI)

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

    2014-02-01T23:59:59.000Z

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

  20. Variability of wind power near Oklahoma City and implications for siting of wind turbines

    SciTech Connect (OSTI)

    Kessler, E.; Eyster, R.

    1987-09-01T23:59:59.000Z

    Data from five sites near Oklahoma City were examined to assess wind power availability. Wind turbines of identical manufacture were operated at three of the sites, one of which was also equipped with anemometers on a 100-ft tower. Comprehensive anemometric data were available from the other two sites. The study indicates that the average wind speed varies substantially over Oklahoma's rolling plains, which have often been nominally regarded as flat for purposes of wind power generation. Average wind differences may be as much as 5 mph at 20 ft above ground level, and 7 mph at 100 ft above ground level for elevation differences of about 200 ft above mean sea level, even in the absence of substantial features of local terrain. Local altitude above mean sea level seems to be as influential as the shape of local terrain in determining the average wind speed. The wind turbine used at a meteorologically instrumented site in the study produced the power expected from it for the wind regime in which it was situated. The observed variations of local wind imply variations in annual kWh of as much as a factor of four between identical turbines located at similar heights above ground level in shallow valleys and on hilltops or elevated extended flat areas. 17 refs., 39 figs., 11 tabs.

  1. On the Flame Height Definition for Upward Flame Spread 

    E-Print Network [OSTI]

    Consalvi, Jean L; Pizzo, Yannick; Porterie, Bernard; Torero, Jose L

    2007-01-01T23:59:59.000Z

    Flame height is defined by the experimentalists as the average position of the luminous flame and, consequently is not directly linked with a quantitative value of a physical parameter. To determine flame heights from ...

  2. Wind Energy Resource Assessment of the Caribbean and Central America

    SciTech Connect (OSTI)

    DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

    1987-04-01T23:59:59.000Z

    A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

  3. 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.

  4. INFLUENCE OF GEOMETRY ON THE MEAN FLOW WITHIN URBAN STREET CANYONS A COMPARISON OF WIND TUNNEL

    E-Print Network [OSTI]

    Savory, Eric

    the canyon, the smaller the wind speed close to the cavity ground, giving increasingly poor ventilation, ventilation, vortex Nomenclature d = Displacement height (m); H, W = Height and width of canyon (m); k on the local pollutant transport. There have been many full-scale studies, such as De- Paul and Sheih (1986

  5. Equivalent roughness height for plane bed under oscillatory flow

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , the bed roughness height of a flat and fixed bed is given in terms of the Nikuradse roughness height (ks may be several orders of magnitude larger than for a fixed bed. This is probably causedEquivalent roughness height for plane bed under oscillatory flow Beno^it Camenen , Magnus Larson

  6. LEVY PROCESS CONDITIONED BY ITS HEIGHT PROCESS January 30, 2012

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    L´EVY PROCESS CONDITIONED BY ITS HEIGHT PROCESS January 30, 2012 MATHIEU RICHARD Abstract. In the present work, we consider spectrally positive L´evy processes (Xt, t 0) not drifting to + and we are interested in conditioning these processes to reach arbitrarily large heights (in the sense of the height

  7. Zonal wind oscillations over the western hemisphere during winter 

    E-Print Network [OSTI]

    Hundermark, Bruce William

    1991-01-01T23:59:59.000Z

    and the European Centre for Medium Range Weather Forecasts (ECMWF) 7-day forecast errors of the 500 mb height field over the western hemisphere. B. Literature Review Variations in the zonal wind were first studied in the extended forecasting project.... The energetics of the zonal wind have also been studied. Winston and Krueger (1961) investigated a large scale cycle of available potential energy in the Northern Hemisphere during a 2-week period during late December 1958 and early January 1959. A buildup...

  8. 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.

  9. 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...

  10. 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...

  11. 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...

  12. 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,

  13. How Does the Eye Warm? Part II: Sensitivity to Vertical Wind Shear and a Trajectory Analysis

    E-Print Network [OSTI]

    How Does the Eye Warm? Part II: Sensitivity to Vertical Wind Shear and a Trajectory Analysis DANIEL of vertical wind shear on the structure of warming and descent in the eye; results are compared with the no environment, time-averaged eye descent is maximized at 12­13-km height. Warming is not generally maximized

  14. Cost of Wind Energy in the United States: Trends from 2007 to 2012 (Presentation)

    SciTech Connect (OSTI)

    Hand, M.

    2015-01-01T23:59:59.000Z

    This presentation provides an overview of recent technology trends observed in the United States including project size, turbine size, rotor diameter, hub height, annual average wind speed, and annual energy production. It also highlights area where system analysis is required to fully understand how these technology trends relate to the cost of wind energy.

  15. A Brief Status on Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Brief Status on Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems--There is a constant need for the reduction of operational and maintenance costs of Wind Energy Conversion Systems since they are situated on extremely high towers, which are normally 20 m or more in height

  16. Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems: A Review

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems: A Review Y. Amirat, M for the reduction of operational and maintenance costs of Wind Energy Conversion Systems (WECS). The most efficient they are situated on extremely high towers, which are normally 20 m or greater in height. There are also plans

  17. 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

  18. 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

  19. 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...

  20. 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

  1. 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

  2. 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

  3. Analysis of wind shear models and trends in different terrains M.L. Ray *, A.L. Rogers, and J.G. McGowan

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    of characterizing the wind shear at a given site for a utility scale wind turbine cannot be overemphasized. It is important to understand because it directly impacts the power available at different wind turbine hub heights and strongly influences the cyclic loading on the turbine blades. For decades, academic

  4. Impact of Tsunamis on Near Shore Wind Power Units

    E-Print Network [OSTI]

    Parambath, Ashwin

    2011-02-22T23:59:59.000Z

    65kW Nordtank wind turbine to random base excitations. A stress analysis of turbine tower cross section is performed in order to assess the structural integrity of the WPU. It has been determined that the WPU is unsafe for bore/surge heights above 5 m...

  5. Concrete Company Aims Higher for More Wind Energy

    Broader source: Energy.gov [DOE]

    Today, most steel towers that support utility-scale turbines stand about 80 meters tall, but the Tindall Corporation wants to go higher using precast concrete to raise turbines over 100 meters in height to capture stronger, steadier winds - and more energy.

  6. Description of the Columbia Basin Wind Energy Study (CBWES)

    SciTech Connect (OSTI)

    Berg, Larry K.; Pekour, Mikhail S.; Nelson, Danny A.

    2012-10-01T23:59:59.000Z

    The purpose of this Technical Report is to provide background information about the Columbia Basin Wind Energy Study (CBWES). This study, which was supported by the U.S. Department of Energy’s Wind and Water Power Program, was conducted from 16 November 2010 through 21 March 2012 at a field site in northeastern Oregon. The primary goal of the study was to provide profiles of wind speed and wind direction over the depth of the boundary layer in an operating wind farm located in an area of complex terrain. Measurements from propeller and vane anemometers mounted on a 62 m tall tower, Doppler Sodar, and Radar Wind Profiler were combined into a single data product to provide the best estimate of the winds above the site during the first part of CBWES. An additional goal of the study was to provide measurements of Turbulence Kinetic Energy (TKE) near the surface. To address this specific goal, sonic anemometers were mounted at two heights on the 62 m tower on 23 April 2011. Prior to the deployment of the sonic anemometers on the tall tower, a single sonic anemometer was deployed on a short tower 3.1 m tall that was located just to the south of the radar wind profiler. Data from the radar wind profiler, as well as the wind profile data product are available from the Atmospheric Radiation Measurements (ARM) Data Archive (http://www.arm.gov/data/campaigns). Data from the sonic anemometers are available from the authors.

  7. 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.

  8. 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.

  9. 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...

  10. Space variations in axis height of the jet stream core 

    E-Print Network [OSTI]

    Leutwyler, Cooke Hearon

    1965-01-01T23:59:59.000Z

    height, of 55 mb be- tween Model I (troughs) and Model II (ridges). However, the present models of the jet stream do not adequately describe the way a jet stream axis varies in height at a given time. The average presented by Reiter (1958... the Ridge cases, the standard deviation was smaller upstream from the reference height than it was downstream. Therefore the mean curves are more representative and useful as models upstream than they are downstream. C HAP TER I I I HEIGHT VARIATIONS...

  11. 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...

  12. 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.

  13. 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...

  14. 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...

  15. 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

  16. 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

  17. Equivalent Roughness Height for Plane Bed under Steady Flow

    E-Print Network [OSTI]

    US Army Corps of Engineers

    current conditions. In general, owing to dimensional reasons, the bed roughness height of a flat and fixed orders of magnitude larger than for a fixed bed. This is probably caused by the increased energyEquivalent Roughness Height for Plane Bed under Steady Flow Benoît Camenen, Ph.D.1 ; Atilla Bayram

  18. The height and range of watermelons without wall

    E-Print Network [OSTI]

    Thomas Feierl

    2009-04-03T23:59:59.000Z

    We determine the weak limit of the distribution of the random variables "height" and "range" on the set of p-watermelons without wall restriction as the number of steps tends to infinity. Additionally, we provide asymptotics for the moments of the random variable "height".

  19. Computing local p-adic height pairings on hyperelliptic curves

    E-Print Network [OSTI]

    Balakrishnan, Jennifer S

    2010-01-01T23:59:59.000Z

    We describe an algorithm to compute the local component at p of the Coleman-Gross p-adic height pairing on divisors on hyperelliptic curves. As the height pairing is given in terms of a Coleman integral, we also provide new techniques to evaluate Coleman integrals of meromorphic differentials and present our algorithms as implemented in Sage.

  20. Root responses of bermudagrass to mowing height and frequency

    E-Print Network [OSTI]

    Hall, Mark Holman

    1995-01-01T23:59:59.000Z

    of root zone to be studied separately. Common bermudagrass (Cynodon dactylon [L.] Pers.) was used in a mowing height by frequency study, with mowing height treatments of 2.5 and 5.1 cm, and mowing frequencies of 2, 7, and 14 days. Tifgreen bermudagrass (C...

  1. GLOBAL PATTERN OF MESOSCALE VARIABILITY IN SEA SURFACE HEIGHT

    E-Print Network [OSTI]

    Kaplan, Alexey

    GLOBAL PATTERN OF MESOSCALE VARIABILITY IN SEA SURFACE HEIGHT AND ITS DYNAMICAL CAUSES Alexey separate the mesoscale variability of sea surface heights into its spatial and temporal components of mesoscale variability in different areas to dynamical causes. Major portion of it can be explained

  2. LEVY PROCESS CONDITIONED BY ITS HEIGHT PROCESS June 11, 2011

    E-Print Network [OSTI]

    L´EVY PROCESS CONDITIONED BY ITS HEIGHT PROCESS June 11, 2011 MATHIEU RICHARD Abstract. In the present work, we consider spectrally positive L´evy processes (Xt, t 0) not drifting to + and we are interested in conditioning these processes to reach arbitrarily large heights before hitting 0. This way we

  3. 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

  4. Wind Turbine Scaling Enables Projects to Reach New Heights | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley NickellApril 16, 2008 TBD-0075 -In17,In 2008,06

  5. Wind Generation on Winnebago Tribal Lands

    SciTech Connect (OSTI)

    Multiple

    2009-09-30T23:59:59.000Z

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

  6. 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

  7. Howard County- Wind Ordinance

    Broader source: Energy.gov [DOE]

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

  8. 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

  9. 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

  10. 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.

  11. 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.

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. Evaluation of Single-Doppler Radar Wind Retrievals in Flat and Complex Terrain

    SciTech Connect (OSTI)

    Newsom, Rob K.; Berg, Larry K.; Pekour, Mikhail S.; Fast, Jerome D.; Xu, Qin; Zhang, Pengfei; Yang, Qing; Shaw, William J.; Flaherty, Julia E.

    2014-08-01T23:59:59.000Z

    The accuracy of winds derived from NEXRAD level II data is assessed by comparison with independent observations from 915 MHz radar wind profilers. The evaluation is carried out at two locations with very different terrain characteristics. One site is located in an area of complex terrain within the State Line Wind Energy Center in northeast Oregon. The other site is located in an area of flat terrain on the east-central Florida coast. The National Severe Storm Laboratory’s 2DVar algorithm is used to retrieve wind fields from the KPDT (Pendleton OR) and KMLB (Melbourne FL) NEXRAD radars. Comparisons between the 2DVar retrievals and the radar profilers were conducted over a period of about 6 months and at multiple height levels at each of the profiler sites. Wind speed correlations at most observation height levels fell in the range from 0.7 to 0.8, indicating that the retrieved winds followed temporal fluctuations in the profiler-observed winds reasonably well. The retrieved winds, however, consistently exhibited slow biases in the range of1 to 2 ms-1. Wind speed difference distributions were broad with standard deviations in the range from 3 to 4 ms-1. Results from the Florida site showed little change in the wind speed correlations and difference standard deviations with altitude between about 300 and 1400 m AGL. Over this same height range, results from the Oregon site showed a monotonic increase in the wind speed correlation and a monotonic decrease in the wind speed difference standard deviation with increasing altitude. The poorest overall agreement occurred at the lowest observable level (~300 m AGL) at the Oregon site, where the effects of the complex terrain were greatest.

  18. Height Replacement of Selected Woody Plants Following Burning or Shredding.

    E-Print Network [OSTI]

    Hamilton, W.T.; Kitchen, L.M.; Scifres, C.J.

    1981-01-01T23:59:59.000Z

    periods. %e e ' riment was designed as a rm=trd cmnplete+bloCL deskgn with t a o repticatbms. T h g S i g h empioped 9 h e - 'hie -wewin bo:*iriny of the l&a ' dfded o P - the plots (Scifps 1ss81. i?w ~rmeYIt l~p-m~tr lLed ltjeIt'trcwMs, 3.T by...- tions accounted for 87 pecmt of the variation in height change of blackbrush acacia. Burning did -@t affect height increase based on comparison with unburned blackbrush acacia. Blackbrush acacia height replacement was slower than that of honey mes...

  19. 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.

  20. 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...

  1. 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...

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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,

  1. 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 (DOE’s) investments in offshore wind energy research and

  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. 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

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

    SciTech Connect (OSTI)

    GE Wind Energy, LLC

    2006-05-01T23:59:59.000Z

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

  15. 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.

  16. 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

  17. age body height: Topics by E-print Network

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

    the pth power of height h with 73 <83. Further arguments based on stability and heat loss suggest that p should be close to 83. The arguments are extended to suggest...

  18. Microprocessor-based ultrasonic height controller for sugarcane harvesters

    E-Print Network [OSTI]

    Coad, Craig Allan

    1980-01-01T23:59:59.000Z

    MICROPROCESSOR-BASED ULTRASONIC HEIGHT CONTROLLER FOR SUGARCANE HARVESTERS A Thesis by CRAIG ALLAN GOAD Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE... May 1980 Major Subject: Electrical Engineering MICROPROCESSOR-BASED ULTRASONIC HEIGHT CONTROLLER FOR SUGARCANE HARVESTERS A Thesis by CRAIG ALLAN GOAD Approved as to style and content by: V. T. Rhyne (Chairman of Committee) Charlie G. Coble...

  19. Control of bed height in a fluidized bed gasification system

    DOE Patents [OSTI]

    Mehta, Gautam I. (Greensburg, PA); Rogers, Lynn M. (Export, PA)

    1983-12-20T23:59:59.000Z

    In a fluidized bed apparatus a method for controlling the height of the fdized bed, taking into account variations in the density of the bed. The method comprises taking simultaneous differential pressure measurements at different vertical elevations within the vessel, averaging the differential pressures, determining an average fluidized bed density, then periodically calculating a weighting factor. The weighting factor is used in the determination of the actual bed height which is used in controlling the fluidizing means.

  20. 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.

  1. 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.

  2. 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.

  3. 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...

  4. 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.

  5. Buoyancy Effects on the Scaling Characteristics of Atmospheric Boundary Layer Wind Fields in the Mesoscale Range

    E-Print Network [OSTI]

    Kiliyanpilakkil, V P; Ruiz-Columbié, A; Araya, G; Castillo, L; Hirth, B; Burgett, W

    2015-01-01T23:59:59.000Z

    We have analyzed long-term wind speed time-series from five field sites up to a height of 300 m from the ground. Structure function-based scaling analysis has revealed that the scaling exponents in the mesoscale regime systematically depend on height. This anomalous behavior is shown to be caused by the buoyancy effects. In the framework of the extended self-similarity, the relative scaling exponents portray quasi-universal behavior.

  6. 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

  7. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

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

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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

  13. 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...

  14. 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...

  15. 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

  16. 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.

  17. 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.

  18. 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

  19. 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.

  20. 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

  1. 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

  2. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

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

  3. 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.

  4. 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.

  5. 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.

  6. 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

  7. 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

  8. 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

  9. 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

  10. Comparing Pulsed Doppler LIDAR with SODAR and Direct Measurements for Wind Assessment

    SciTech Connect (OSTI)

    Kelley, N. D.; Jonkman, B. J.; Scott, G. N.; Pichugina, Y. L.

    2007-07-01T23:59:59.000Z

    There is a pressing need for good wind-speed measurements at greater and greater heights to assess the availability of the resource in terms of power production and to identify any frequently occurring atmospheric structural characteristics that may create turbulence that impacts the operational reliability and lifetime of wind turbines and their components. In this paper, we summarize the results of a short study that compares the relative accuracies of wind speeds derived from a high-resolution pulsed Doppler LIDAR operated by the National Oceanic and Atmospheric Administration (NOAA) and a midrange Doppler SODAR with wind speeds measured by four levels of tower-based sonic anemometry up to a height of 116 m.

  11. 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.

  12. 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.

  13. 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.

  14. 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

  15. Representation of the mesoscale wind field using a line integral technique

    E-Print Network [OSTI]

    Trares, John S

    1982-01-01T23:59:59.000Z

    . Comparison between the Reconstructed Wind Fields via the LIT and Finite Difference Method. Future Research . Final Remarks . 51 52 52 55 REFERENCES. APPENDIX A. APPENDIX 8. V ITA. 58 60 65 86 LIST OF FIGURES Figure 1 Gridded surface height... and v components and the other uses the "Line integral Technique. " The details of these methods are as follows: 20 1) Finite Difference method From the interpolated wind components, the grid point values of divergence and vorticity are computed via...

  16. An automatic cutting height control system for a sugarcane harvester

    E-Print Network [OSTI]

    Hale, Scott Andrew

    1985-01-01T23:59:59.000Z

    ). . . . . 53 22. 23. Effect of the soil-stalk weight factor on the ground average, and the stalk average A comparison of Avg and Avs calculated from laboratory data with both real numbers, and integer numbers. . . . . . . 57 24 . A graph of a portion... factor, W. By calculating the difference between Avg and Avs, as equation (5) shows, the height of the sugarcane stubble remaining after cutting, 0, was to be determined. D = Avg - Avs (5) where: D - the height of the sugarcane stubble remaining...

  17. CHARGE STATE EVOLUTION IN THE SOLAR WIND. II. PLASMA CHARGE STATE COMPOSITION IN THE INNER CORONA AND ACCELERATING FAST SOLAR WIND

    SciTech Connect (OSTI)

    Landi, E.; Gruesbeck, J. R.; Lepri, S. T.; Zurbuchen, T. H.; Fisk, L. A. [Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI 48109 (United States)

    2012-12-10T23:59:59.000Z

    In the present work, we calculate the evolution of the charge state distribution within the fast solar wind. We use the temperature, density, and velocity profiles predicted by Cranmer et al. to calculate the ionization history of the most important heavy elements in the solar corona and solar wind: C, N, O, Ne, Mg, Si, S, and Fe. The evolution of each charge state is calculated from the source region in the lower chromosphere to the final freeze-in point. We show that the solar wind velocity causes the plasma to experience significant departures from equilibrium at very low heights, well inside the field of view (within 0.6 R{sub sun} from the solar limb) of nearly all the available remote-sensing instrumentation, significantly affecting observed spectral line intensities. We also study the evolution of charge state ratios with distance from the source region, and the temperature they indicate if ionization equilibrium is assumed. We find that virtually every charge state from every element freezes in at a different height, so that the definition of freeze-in height is ambiguous. We also find that calculated freeze-in temperatures indicated by charge state ratios from in situ measurements have little relation to the local coronal temperature of the wind source region, and stop evolving much earlier than their correspondent charge state ratio. We discuss the implication of our results on plasma diagnostics of coronal holes from spectroscopic measurements as well as on theoretical solar wind models relying on coronal temperatures.

  18. Morphology Height, RCD, usability --<1 Root:shoot ratio --4

    E-Print Network [OSTI]

    , seeking to detect cold storage and other forms of damage to plants, to a set of techniques to assess to the planting site from cold storage on four separate occasions during the planting season. Plants with REL: · assessing height and root collar diameter (RCD) (compared with an industry standard BS 3936 part 4 (BSI

  19. Hierarchical occlusion culling for arbitrarily-meshed height fields 

    E-Print Network [OSTI]

    Edmondson, Paul Michael

    2004-09-30T23:59:59.000Z

    Many graphics applications today have need for high-speed 3-D visualization of height fields. Most of these applications deal with the display of digital terrain models characterized by a simple, but vast, non-overlapping mesh of triangles. A great...

  20. Height variation of the vector magnetic field in solar spicules

    E-Print Network [OSTI]

    Suarez, D Orozco; Bueno, J Trujillo

    2015-01-01T23:59:59.000Z

    Proving the magnetic configuration of solar spicules has hitherto been difficult due to the lack of spatial resolution and image stability during off-limb ground-based observations. We report spectropolarimetric observations of spicules taken in the He I 1083 nm spectral region with the Tenerife Infrared Polarimeter II at the German Vacuum Tower Telescope of the Observatorio del Teide (Tenerife; Canary Islands; Spain). The data provide the variation with geometrical height of the Stokes I, Q, U, and V profiles whose encoded information allows the determination of the magnetic field vector by means of the HAZEL inversion code. The inferred results show that the average magnetic field strength at the base of solar spicules is about 80 gauss and then it decreases rapidly with height to about 30 gauss at a height of 3000 km above the visible solar surface. Moreover, the magnetic field vector is close to vertical at the base of the chromosphere and has mid inclinations (about 50 degree) above 2 Mm height.

  1. TECHNICAL PAPER Time dependent simulation of active flying height control

    E-Print Network [OSTI]

    Fainman, Yeshaiahu

    of the heater were estimated by measuring the transient response of the TFC slider to a step function. Figure 2 (TFC) slider as a function of the power input to the heater element. The Reynolds equation is used and flying height of the slider. The power input signal to the heater element is optimized using convex

  2. 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

  3. 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...

  4. 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...

  5. 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

  6. 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

  7. 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

  8. 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 ...

  9. 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.

  10. Accelerating Offshore Wind Development

    Broader source: Energy.gov [DOE]

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

  11. 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

  12. 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.

  13. 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.

  14. 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...

  15. 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...

  16. Calculation of CO2 column heights in depleted gas fields from known pre-production gas column heights

    E-Print Network [OSTI]

    Calculation of CO2 column heights in depleted gas fields from known pre-production gas column that the CO2 is in a dense phase (either liquid or supercritical). Accurate assessment of the storage capacity also requires an estimation of the amount of CO2 that can be safely stored beneath the reservoir seal

  17. 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.

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

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

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

  19. 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.

  20. 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.,

  1. 7 The Numerical Wind Atlas for Ire-7.1 Topography for Ireland

    E-Print Network [OSTI]

    7 The Numerical Wind Atlas for Ire- land 7.1 Topography for Ireland The topography of Ireland the surface to a height of 4000 m. The lowest grid levels were at 15, 43, 84, 138 m a.g.l. for a grid point

  2. 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....

  3. 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...

  4. 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...

  5. 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...

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

    Energy Savers [EERE]

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

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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,

  13. 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 &

  14. 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

  15. 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

  16. 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

  17. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

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

  18. 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

  19. 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 (

  20. 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

  1. 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

  2. 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 (

  3. 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

  4. The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant.

    SciTech Connect (OSTI)

    Martin Wilde, Principal Investigator

    2012-12-31T23:59:59.000Z

    ABSTRACT Application of Real-Time Offsite Measurements in Improved Short-Term Wind Ramp Prediction Skill Improved forecasting performance immediately preceding wind ramp events is of preeminent concern to most wind energy companies, system operators, and balancing authorities. The value of near real-time hub height-level wind data and more general meteorological measurements to short-term wind power forecasting is well understood. For some sites, access to onsite measured wind data - even historical - can reduce forecast error in the short-range to medium-range horizons by as much as 50%. Unfortunately, valuable free-stream wind measurements at tall tower are not typically available at most wind plants, thereby forcing wind forecasters to rely upon wind measurements below hub height and/or turbine nacelle anemometry. Free-stream measurements can be appropriately scaled to hub-height levels, using existing empirically-derived relationships that account for surface roughness and turbulence. But there is large uncertainty in these relationships for a given time of day and state of the boundary layer. Alternatively, forecasts can rely entirely on turbine anemometry measurements, though such measurements are themselves subject to wake effects that are not stationary. The void in free-stream hub-height level measurements of wind can be filled by remote sensing (e.g., sodar, lidar, and radar). However, the expense of such equipment may not be sustainable. There is a growing market for traditional anemometry on tall tower networks, maintained by third parties to the forecasting process (i.e., independent of forecasters and the forecast users). This study examines the value of offsite tall-tower data from the WINDataNOW Technology network for short-horizon wind power predictions at a wind farm in northern Montana. The presentation shall describe successful physical and statistical techniques for its application and the practicality of its application in an operational setting. It shall be demonstrated that when used properly, the real-time offsite measurements materially improve wind ramp capture and prediction statistics, when compared to traditional wind forecasting techniques and to a simple persistence model.

  5. New methodology to determine the terminal height of a fireball

    E-Print Network [OSTI]

    Moreno-Ibáñez, Manuel; Trigo-Rodríguez, Josep M

    2015-01-01T23:59:59.000Z

    Despite ablation and drag processes associated with atmospheric entry of meteoroids were a subject of intensive study over the last century, little attention was devoted to interpret the observed fireball terminal height. This is a key parameter because it not only depends on the initial mass, but also on the bulk physical properties of the meteoroids and hence of their ability to ablate in the atmosphere. In this work we have developed a new approach that is tested using the fireball terminal heights observed by the Meteorite Observation and Recovery Project operated in Canada between 1970-1985 (hereafter referred as MORP). We then compare them to the calculation made. Our results clearly show that the new methodology is able to forecast the degree of deepening of meteoroids in the Earth's atmosphere. Then, this approach has important applications in predicting the impact hazard from cm- to meter-sized bodies that are represented, in part, in the MORP bolide list.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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:

  11. Effects of Alloy Disorder on Schottky-Barrier Heights

    E-Print Network [OSTI]

    MYLES, CW; REN, SF; Allen, Roland E.; REN, SY.

    1987-01-01T23:59:59.000Z

    PHYSICAL REVIEW B VOLUME 35, NUMBER 18 15 JUNE 1987-II Effects of alloy disorder on Schottky-barrier heights Charles W. Myles Department of Physics and Engineering Physics, Texas Tech University, Lubbock, Texas 79409 Shang-Fen Ren* and Roland E...~ The effects of alloy disorder on the Schottky barriers at semiconductor-alloy ?metal interfaces are investigated within the defect model of Schottky-barrier formation. The deep levels and the associ- ated wave functions for surface antisite defects, which...

  12. 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.

  13. Microsoft Word - SF30_M006.doc

    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 Codes |IsLove Your1 SECTION A. Project0CentralProposal3, 2015 NEW

  14. Microsoft Word - SF30_M008.doc

    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 Codes |IsLove Your1 SECTION A. Project0CentralProposal3, 2015 NEW8 3.

  15. Microsoft Word - SF30_M010.doc

    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 Codes |IsLove Your1 SECTION A. Project0CentralProposal3, 2015 NEW8 3.0 3.

  16. 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

  17. 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:...

  18. 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

  19. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    AWEA’s Wind Energy Weekly, DOE/EPRI’s 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.

  1. Large Wind Property Tax Reduction

    Broader source: Energy.gov [DOE]

    In 2001, North Dakota established property tax reductions for commercial wind turbines constructed before 2011. Originally, the law reduced the taxable value of centrally-assessed* wind turbines...

  2. 2012 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2014-01-01T23:59:59.000Z

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

  3. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    David C. Morris; Dr. Will D. Swearingen

    2007-10-08T23:59:59.000Z

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

  5. Ris National Laboratory DTU Wind Energy Department

    E-Print Network [OSTI]

    wind speed, wind direction relative to the spinner and flow inclination angle. A wind tunnel concept anemometer is a wind measurement concept in which measurements of wind speed in the flow over a wind turbine on a modified 300kW wind turbine spinner, was mounted with three 1D sonic wind speed sensors. The flow around

  6. 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

    potential on Hong Kong islands - an analysis of wind power and wind turbine characteristics, Renewable Energy,

  7. Wind Energy Program: Top 10 Program Accomplishments

    Broader source: Energy.gov [DOE]

    Brochure on the top accomplishments of the Wind Energy Program, including the development of large wind machines, small machines for the residential market, wind tunnel testing, computer codes for modeling wind systems, high definition wind maps, and successful collaborations.

  8. Saturation wind power potential and its implications for wind energy

    E-Print Network [OSTI]

    Saturation wind power potential and its implications for wind energy Mark Z. Jacobsona,1 at 10 km above ground in the jet streams assuming airborne wind energy devices ("jet stream the theoretical limit of wind energy available at these altitudes, particularly because some recent studies

  9. Reference wind farm selection for regional wind power prediction models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Reference wind farm selection for regional wind power prediction models Nils Siebert George.siebert@ensmp.fr, georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting is recognized today as a major requirement for a secure and economic integration of wind generation in power systems. This paper deals

  10. Wind Energy at NREL's National Wind Technology Center

    SciTech Connect (OSTI)

    None

    2010-01-01T23:59:59.000Z

    It is a pure, plentiful natural resource. Right now wind is in high demand and it holds the potential to transform the way we power our homes and businesses. NREL is at the forefront of wind energy research and development. NREL's National Wind Technology Center (NWTC) is a world-class facility dedicated to accelerating and deploying wind technology.

  11. Quantifying Offshore Wind Resources from Satellite Wind Maps

    E-Print Network [OSTI]

    Pryor, Sara C.

    the spatial extent of the wake behind large offshore wind farms. Copyright © 2006 John Wiley & Sons, LtdQuantifying Offshore Wind Resources from Satellite Wind Maps: Study Area the North Sea C. B National Laboratory, Roskilde, Denmark Offshore wind resources are quantified from satellite synthetic

  12. Wind Energy at NREL's National Wind Technology Center

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

    It is a pure, plentiful natural resource. Right now wind is in high demand and it holds the potential to transform the way we power our homes and businesses. NREL is at the forefront of wind energy research and development. NREL's National Wind Technology Center (NWTC) is a world-class facility dedicated to accelerating and deploying wind technology.

  13. WIND ENERGY Wind Energ. 2013; 16:7790

    E-Print Network [OSTI]

    Papalambros, Panos

    energy industry lags far behind the wind energy industry, it has the potential to become a role player is equal to the long-term potential of onshore wind energy.1,2 Therefore, the utilisation of marineWIND ENERGY Wind Energ. 2013; 16:77­90 Published online 19 March 2012 in Wiley Online Library

  14. Wind | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sureReportsofDepartmentSeries |Attacksof EnergyWhenWindWind ResearchWind

  15. Small Wind Guidebook/What are the Basic Parts of a Small Wind...

    Open Energy Info (EERE)

    What are the Basic Parts of a Small Wind Electric System < Small Wind Guidebook Jump to: navigation, search Print PDF WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind...

  16. 20% Wind Energy by 2030 - Chapter 6: Wind Power Markets Summary...

    Energy Savers [EERE]

    6: Wind Power Markets Summary Slides 20% Wind Energy by 2030 - Chapter 6: Wind Power Markets Summary Slides Summary slides overviewing wind power markets, growth, applications, and...

  17. 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

    Looking forward, offshore wind costs are generally expectedachieving the U.S. 20% wind cost and performance trajectoryDissecting Wind Turbine Costs. ” WindStats Newsletter (21:

  18. 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

    Carbon Trust. (2008). Offshore Wind Power: Big Challenge,Financial Support for Offshore Wind. The UK Department ofCost Reduction Prospects for Offshore Wind Farms. ” Wind

  19. wind engineering & natural disaster mitigation

    E-Print Network [OSTI]

    Denham, Graham

    wind engineering & natural disaster mitigation #12;wind engineering & natural disaster mitigation Investment WindEEE Dome at Advanced Manufacturing Park $31million Insurance Research Lab for Better Homes $8million Advanced Facility for Avian Research $9million #12;wind engineering & natural disaster mitigation

  20. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    some wind turbine manufacturers experienced blade andwind turbine manufacturers: Vestas (nacelles, blades, and

  1. Community Wind Benefits (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-11-01T23:59:59.000Z

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

  2. 2008 WIND TECHNOLOGIES MARKET REPORT

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    Cost Analysis: Multi-Year Analysis Results and Recommendations. Consultant report prepared by the California Wind

  3. Kentish Flats Offshore Wind Farm

    E-Print Network [OSTI]

    Firestone, Jeremy

    Kentish Flats Offshore Wind Farm #12;By August 2005 the offshore wind farm at Kentish Flats plateau just outside the main Thames shipping lanes. The Kentish Flats wind farm will comprise 30 of the wind farm could be up to 90 MW. For the benefit of the environment The British Government has set

  4. Optimization of Wind Turbine Operation

    E-Print Network [OSTI]

    Optimization of Wind Turbine Operation by Use of Spinner Anemometer TF Pedersen, NN Sørensen, L Title: Optimization of Wind Turbine Operation by Use of Spinner Anemometer Department: Wind Energy prototype wind turbine. Statistics of the yaw error showed an average of about 10°. The average flow

  5. Wind Electrolysis: Hydrogen Cost Optimization

    SciTech Connect (OSTI)

    Saur, G.; Ramsden, T.

    2011-05-01T23:59:59.000Z

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

  6. Algorithms for processing ultrasonic echo data for height control systems

    E-Print Network [OSTI]

    Lin, Reng Rong

    1984-01-01T23:59:59.000Z

    . Appendix C-3. Appendix C-4. 80 81 86 89 92 98 103 108 114 118 120 VITA. 122 viii LIST OF TABLES TABLE Page 1. Profile mcdels for generated data. . ~ . . 27 2. Limitations for a single threshold locations with simulated data 35 3.... Limitations for a double threshold locations with simulated data 37 4. Effects of stalk height on the distance between thresholds of a double threshold. C 1(1 0~ 1 Oi 1500~ 154 ~ 1346) , 39 5. Effects of weight given to stalk and ground echo on WRA...

  7. Space variations in axis height of the jet stream core

    E-Print Network [OSTI]

    Leutwyler, Cooke Hearon

    1965-01-01T23:59:59.000Z

    , In addition to the overall in- crease in the number of flights, the advent of jet and turboprop airpla, nes makes the jet stream level, viz. , 25, 000 to 45, 000 ft, the most desirable level for fuel economy during flight. Once man began to move about...SPACE VARIATIONS IN AKIS HEIGHT OF THE JET STREAM CORE A Thesis By COOKE HEARON LEUTWYLER, CAPT USAF Submitted to the Graduate College of the Texas ASM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE...

  8. Effects of working arm heights and age on blood pressure

    E-Print Network [OSTI]

    Cahalane, Patrick Takeo

    1985-01-01T23:59:59.000Z

    Heights OLDER SUBJECTS YOUNGER SUBJECTS AVERAGE FOR TWO GROUPS MEAN STANDARD DE V I ATION RANGE MEAN STANDARD DE VIA T I 0 N RANGE MEAN KNEE LEVEL 14. 4 2. 5 11-22 15. 7 I . 9 I I - 20 15. 1 WAIST LEVEL 18. 3 2, 7 15- 25 20. 2 2. 7 15- 27 19. 3... LEVEL WAIST LEVEL 2. 44' OVERHEAD LEVEL 3. 00' WAIST LEVEL VS. OVE, AHEAD LEVEL WAIST LEVEL VS. KNEE LEVEL OVERHEAD LEVEL VS, KNEE LEVEL WAIST LEVEL VS. STANDING (RESTING) 14. 70' 16. 00' 0. 35 21. 60' 19. 80' 5. 30...

  9. Plant community composition and vegetation height, Barrow, Alaska, Ver. 1

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

    Sloan, Victoria; Norby, Richard; Siegrist, Julia; Iversen, Colleen; Brooks, Jonathan; Liebig, Jennifer; Wood, Sarah

    This dataset contains i) the results of field surveys of plant community composition and vegetation height made between 17th and 29th July 2012 in 48, 1 x 1 m plots located in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska and ii) results of a mapping exercise undertaken in August 2013 using two perpendicular transects across each polygon containing vegetation plots to determine the boundaries of vegetation communities described in 2012.

  10. Plant community composition and vegetation height, Barrow, Alaska, Ver. 1

    SciTech Connect (OSTI)

    Sloan, Victoria; Norby, Richard; Siegrist, Julia; Iversen, Colleen; Brooks, Jonathan; Liebig, Jennifer; Wood, Sarah

    2014-04-25T23:59:59.000Z

    This dataset contains i) the results of field surveys of plant community composition and vegetation height made between 17th and 29th July 2012 in 48, 1 x 1 m plots located in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska and ii) results of a mapping exercise undertaken in August 2013 using two perpendicular transects across each polygon containing vegetation plots to determine the boundaries of vegetation communities described in 2012.

  11. Airway Heights, Washington: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindeySanta2004)Airway Heights, Washington: Energy Resources

  12. Braddock Heights, Maryland: Energy Resources | 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:EzfeedflagBiomass ConversionsSouthbyBoston Heights,Boyne City, Michigan:BrackenBradBraddock

  13. Broadview Heights, Ohio: Energy Resources | 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:EzfeedflagBiomassSustainable and Innovative EnergyHeights, Ohio: Energy Resources Jump to:

  14. Brooklyn Heights, Ohio: Energy Resources | 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:EzfeedflagBiomassSustainable and Innovative EnergyHeights,Illinois:Brooklyn Center,

  15. Wheatley Heights, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTED JumpHills,2732°,Wetzel County,Wheatley Heights, New York:

  16. Champion Heights, Ohio: Energy Resources | 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 JumpConceptual Model, click here.Telluric Survey asWest,CEI Jump to:CerionChagrinChampaignJumpHeights,

  17. Property:GBIG/MinHeight | 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 Jump to: navigation, search PropertyCalculatedCenter Jump to:MinHeight Jump to:

  18. Harwood Heights, Illinois: Energy Resources | 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 are8COaBulkTransmissionSitingProcess.pdfGetec AG| OpenInformationHartsville, New York: EnergyHarwood Heights,

  19. Holiday Heights, New Jersey: Energy Resources | 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 are8COaBulkTransmissionSitingProcess.pdfGetecGtel Jump to: navigation,Jersey:Heights, New Jersey: Energy Resources Jump

  20. Huber Heights, Ohio: Energy Resources | 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 are8COaBulkTransmissionSitingProcess.pdfGetecGtel Jump to:Pennsylvania:County,Ohio: Energy ResourcesHuber Heights,

  1. Yorktown Heights, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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

  2. Preston Heights, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal PwerPerkins County, Nebraska:Precourt Institute for EnergyWister Area (DOE GTP)Heights, Illinois:

  3. Glendale Heights, Illinois: Energy Resources | 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 are8COaBulkTransmissionSitingProcess.pdfGetec AG Contracting Jump to:Echo, Maryland: Energy ResourcesNewGlencoeHeights,

  4. South Chicago Heights, Illinois: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingaporeSonix Japan IncInformation SouthHeights,

  5. Olympia Heights, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: EnergyExcellenceOffice ofInformation OlkariaHeights, Florida:

  6. Madison Heights, Michigan: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:LandownersLuther, Oklahoma:EnergyECOFlorida:Madison Gas & ElectricHeights,

  7. Maple Heights, Ohio: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:LandownersLuther,Jemez PuebloManteca, California: EnergyChangeMapMapHeights,

  8. Taft Heights, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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

  9. Day Heights, Ohio: Energy Resources | 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 JumpConceptual Model,DOE Facility Database DataDatatechnic InternationalMontana:Heights, Ohio: Energy

  10. Boston Heights, Ohio: Energy Resources | 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:EzfeedflagBiomass ConversionsSouthbyBoston Heights, Ohio: Energy Resources Jump to:

  11. Rowland Heights, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to:Roscommon County, Michigan:Rotokawa GeothermalRowland Heights,

  12. Ford Heights, Illinois: Energy Resources | 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 are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdfFillmoreGabbs Valley Area(Sasada,FoothillsFordFord Heights,

  13. Garfield Heights, Ohio: Energy Resources | 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 are8COaBulkTransmissionSitingProcess.pdf Jump1946865°,Park, Texas: Energy ResourcesGangNebraska: EnergyHeights, Ohio:

  14. Cleveland Heights, Ohio: Energy Resources | 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 JumpConceptual Model, clickInformation SmyrnaNewClayClearSpot EnergyInformation NorthHeights,

  15. Wind Plant Ramping Behavior

    SciTech Connect (OSTI)

    Ela, E.; Kemper, J.

    2009-12-01T23:59:59.000Z

    With the increasing wind penetrations, utilities and operators (ISOs) are quickly trying to understand the impacts on system operations and planning. This report focuses on ramping imapcts within the Xcel service region.

  16. Wind Energy Systems Exemption

    Broader source: Energy.gov [DOE]

    Tennessee House Bill 809, enacted into law in Public Chapter 377, Acts of 2003 and codified under Title 67, Chapter 5, states that wind energy systems operated by public utilities, businesses or...

  17. 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...

  18. Wind Turbines Benefit Crops

    ScienceCinema (OSTI)

    Takle, Gene

    2013-03-01T23:59:59.000Z

    Ames Laboratory associate scientist Gene Takle talks about research into the effect of wind turbines on nearby crops. Preliminary results show the turbines may have a positive effect by cooling and drying the crops and assisting with carbon dioxide uptake.

  19. Wind Agreements (Nebraska)

    Broader source: Energy.gov [DOE]

    These regulations address leases or lease options securing land for the study or production of wind-generated energy. The regulations describe agreement terms, compliance, and a prohibition on land...

  20. Suite for Wind Ensemble

    E-Print Network [OSTI]

    Oliver, Theodore

    2014-05-31T23:59:59.000Z

    "Suite for Wind Ensemble" consists of three movements, each of which contains a main theme and several smaller themes. Each main theme is introduced within the first minute of the movement, and the main themes from the ...

  1. 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.

  2. Wind Turbines Benefit Crops

    SciTech Connect (OSTI)

    Takle, Gene

    2010-01-01T23:59:59.000Z

    Ames Laboratory associate scientist Gene Takle talks about research into the effect of wind turbines on nearby crops. Preliminary results show the turbines may have a positive effect by cooling and drying the crops and assisting with carbon dioxide uptake.

  3. After the Wind Storm 

    E-Print Network [OSTI]

    Unknown

    2011-09-05T23:59:59.000Z

    Solar and wind power can be economical and environmentally friendly ways to pump water for homes, irrigation and/or livestock water wells. This publication explains how these pumps work, the advantages and disadvantages of using renewable energy...

  4. Wind Tunnel Building - 1 

    E-Print Network [OSTI]

    Unknown

    2005-06-30T23:59:59.000Z

    This paper describes a simple graphic tool that enables a building designer to evaluate the potential for wind induced ventilation cooling in several climate zones. Long term weather data were analyzed to determine the conditions for which available...

  5. Wind Tunnel Building - 7 

    E-Print Network [OSTI]

    Unknown

    2005-06-30T23:59:59.000Z

    DETERMINATION OF WIND FROM NIMBUS-6 SATELLITE SOUNDING DATA A Thesis by WILLIAM EVERETT CARLE Submitted to the Graduate College of Texas A&M University in partial fulfil!. ment of the requirement for the deg. . ec of MASTER OF SCIENCE... December 1979 Major Subject: Meteorology DETEIQ&INATION OE WIND PROS1 NINEDS-6 SATELLITE SOUNDING DATA A Thesis WILLIA11 EVERETT CARLE Aporoved as to style and content by: (Chairman of Commi tee) Nember) (Head of Department) December 1979...

  6. Previous Wind Power Announcements (generation/wind)

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

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

  7. Tornado type wind turbines

    DOE Patents [OSTI]

    Hsu, Cheng-Ting (Ames, IA)

    1984-01-01T23:59:59.000Z

    A tornado type wind turbine has a vertically disposed wind collecting tower with spaced apart inner and outer walls and a central bore. The upper end of the tower is open while the lower end of the structure is in communication with a wind intake chamber. An opening in the wind chamber is positioned over a turbine which is in driving communication with an electrical generator. An opening between the inner and outer walls at the lower end of the tower permits radially flowing air to enter the space between the inner and outer walls while a vertically disposed opening in the wind collecting tower permits tangentially flowing air to enter the central bore. A porous portion of the inner wall permits the radially flowing air to interact with the tangentially flowing air so as to create an intensified vortex flow which exits out of the top opening of the tower so as to create a low pressure core and thus draw air through the opening of the wind intake chamber so as to drive the turbine.

  8. Winding for linear pump

    DOE Patents [OSTI]

    Kliman, G.B.; Brynsvold, G.V.; Jahns, T.M.

    1989-08-22T23:59:59.000Z

    A winding and method of winding for a submersible linear pump for pumping liquid sodium are disclosed. The pump includes a stator having a central cylindrical duct preferably vertically aligned. The central vertical duct is surrounded by a system of coils in slots. These slots are interleaved with magnetic flux conducting elements, these magnetic flux conducting elements forming a continuous magnetic field conduction path along the stator. The central duct has placed therein a cylindrical magnetic conducting core, this core having a cylindrical diameter less than the diameter of the cylindrical duct. The core once placed to the duct defines a cylindrical interstitial pumping volume of the pump. This cylindrical interstitial pumping volume preferably defines an inlet at the bottom of the pump, and an outlet at the top of the pump. Pump operation occurs by static windings in the outer stator sequentially conveying toroidal fields from the pump inlet at the bottom of the pump to the pump outlet at the top of the pump. The winding apparatus and method of winding disclosed uses multiple slots per pole per phase with parallel winding legs on each phase equal to or less than the number of slots per pole per phase. The slot sequence per pole per phase is chosen to equalize the variations in flux density of the pump sodium as it passes into the pump at the pump inlet with little or no flux and acquires magnetic flux in passage through the pump to the pump outlet. 4 figs.

  9. Winding for linear pump

    DOE Patents [OSTI]

    Kliman, Gerald B. (Schenectady, NY); Brynsvold, Glen V. (San Jose, CA); Jahns, Thomas M. (Schenectady, NY)

    1989-01-01T23:59:59.000Z

    A winding and method of winding for a submersible linear pump for pumping liquid sodium is disclosed. The pump includes a stator having a central cylindrical duct preferably vertically aligned. The central vertical duct is surrounded by a system of coils in slots. These slots are interleaved with magnetic flux conducting elements, these magnetic flux conducting elements forming a continuous magnetic field conduction path along the stator. The central duct has placed therein a cylindrical magnetic conducting core, this core having a cylindrical diameter less than the diameter of the cylindrical duct. The core once placed to the duct defines a cylindrical interstitial pumping volume of the pump. This cylindrical interstitial pumping volume preferably defines an inlet at the bottom of the pump, and an outlet at the top of the pump. Pump operation occurs by static windings in the outer stator sequentially conveying toroidal fields from the pump inlet at the bottom of the pump to the pump outlet at the top of the pump. The winding apparatus and method of winding disclosed uses multiple slots per pole per phase with parallel winding legs on each phase equal to or less than the number of slots per pole per phase. The slot sequence per pole per phase is chosen to equalize the variations in flux density of the pump sodium as it passes into the pump at the pump inlet with little or no flux and acquires magnetic flux in passage through the pump to the pump outlet.

  10. NREL National Wind Technology Center (NWTC): M2 Tower; Boulder, Colorado (Data)

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

    Jager, D.; Andreas, A.

    The National Wind Technology Center (NWTC), located at the foot of the Rocky Mountains near Boulder, Colorado, is a world-class research facility managed by NREL for the U.S. Department of Energy. NWTC researchers work with members of the wind energy industry to advance wind power technologies that lower the cost of wind energy through research and development of state-of-the-art wind turbine designs. NREL's Measurement and Instrument Data Center provides data from NWTC's M2 tower which are derived from instruments mounted on or near an 82 meter (270 foot) meteorological tower located at the western edge of the NWTC site and about 11 km (7 miles) west of Broomfield, and approximately 8 km (5 miles) south of Boulder, Colorado. The data represent the mean value of readings taken every two seconds and averaged over one minute. The wind speed and direction are measured at six heights on the tower and air temperature is measured at three heights. The dew point temperature, relative humidity, barometric pressure, totalized liquid precipitation, and global solar radiation are also available.

  11. Studies of the 3D surface roughness height

    SciTech Connect (OSTI)

    Avisane, Anita; Rudzitis, Janis; Kumermanis, Maris [Institute of Mechanical Engineering, Riga Technical University, Ezermalas str. 6k, Riga (Latvia)

    2013-12-16T23:59:59.000Z

    Nowadays nano-coatings occupy more and more significant place in technology. Innovative, functional coatings acquire new aspects from the point of view of modern technologies, considering the aggregate of physical properties that can be achieved manipulating in the production process with the properties of coatings’ surfaces on micro- and nano-level. Nano-coatings are applied on machine parts, friction surfaces, contacting parts, corrosion surfaces, transparent conducting films (TCF), etc. The equipment available at present for the production of transparent conducting oxide (TCO) coatings with highest quality is based on expensive indium tin oxide (ITO) material; therefore cheaper alternatives are being searched for. One such offered alternative is zink oxide (ZnO) nano-coatings. Evaluating the TCF physical and mechanical properties and in view of the new ISO standard (EN ISO 25178) on the introduction of surface texture (3D surface roughness) in the engineering calculations, it is necessary to examine the height of 3D surface roughness, which is one of the most significant roughness parameters. The given paper studies the average values of 3D surface roughness height and the most often applied distribution laws are as follows: the normal distribution and Rayleigh distribution. The 3D surface is simulated by a normal random field.

  12. Wind energy: Program overview, FY 1992

    SciTech Connect (OSTI)

    Not Available

    1993-06-01T23:59:59.000Z

    The DOE Wind Energy Program assists utilities and industry in developing advanced wind turbine technology to be economically competitive as an energy source in the marketplace and in developing new markets and applications for wind systems. This program overview describes the commercial development of wind power, wind turbine development, utility programs, industry programs, wind resources, applied research in wind energy, and the program structure.

  13. Effect of Height (Fresnel Clearance) on Signal Strength and Throughput for

    E-Print Network [OSTI]

    Liblit, Ben

    Effect of Height (Fresnel Clearance) on Signal Strength and Throughput for Medium and Long Distance obstruction height · Ignoring Fresnel Clearance For 20Km long Wireless Link, Fresnel Clearance requires around, height 4 m at Q ensures 100% Fresnel Clearance On Physical Inspection: No LOS even at 8 meters Distance

  14. An experimental and numerical study of wind turbine seismic behavior

    E-Print Network [OSTI]

    Prowell, I.

    2011-01-01T23:59:59.000Z

    and Scope Wind energy is growing and turbines are regularlyfor Design of Wind Turbines. Wind Energy Department of Risøloads on wind turbines. ” European Wind Energy Conference

  15. Wind Powering America Podcasts, Wind Powering America (WPA)

    SciTech Connect (OSTI)

    Not Available

    2012-04-01T23:59:59.000Z

    Wind Powering America and the National Association of Farm Broadcasters produce a series of radio interviews featuring experts discussing wind energy topics. The interviews are aimed at a rural stakeholder audience and are available as podcasts. On the Wind Powering America website, you can access past interviews on topics such as: Keys to Local Wind Energy Development Success, What to Know about Installing a Wind Energy System on Your Farm, and Wind Energy Development Can Revitalize Rural America. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to this online resource for podcast episodes.

  16. 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.

  17. Near-surface meteorological conditions associated with active resuspension of dust by wind erosion

    SciTech Connect (OSTI)

    Hodgin, C.R.

    1982-01-01T23:59:59.000Z

    The meteorological conditions associated with extreme winds in the lee of the Colorado Rocky Mountains were studied from the viewpoint of dust resuspension and dispersion. Wind, dispersion, temperature, and dew point conditions occurring near the surface were discussed in detail for a selected event. Near-surface wind speeds were compared to observations made at a standard sampling height. These field data were developed to aid in validation and interpretation of wind tunnel observations and application of dispersion models to wind erosion resuspension. Three conclusions can immediately be drawn from this investigation. First, wind storms in nature are quite gusty, with gusts exceeding the mean speed by 50 percent or more. However, wind direction variations are small by comparison. Thus, wind tunnel studies should be able to simulate the large along-flow turbulence, while keeping cross-flow turbulence to a moderate level. This also has an application to the puff modeling of high winds. Puff models normally assume that the along-flow dispersion coefficient is equal to the cross-flow value. This study suggests that the along-flow coefficient should be much larger than its cross-flow counterpart. Another conclusion involves the usual assumption of Pasquill-Gifford stability class D. In the event studied here, the atmosphere was well mixed with near-neutral thermal stability, yet the horizontal dispersion stability class varied from G to A. Thus, an assumption of Class D horizontal dispersion during high winds would not have been valid during this case. A final conclusion involves the widely applied assumption of a logarithmic wind speed profile during high wind events. This study has indicated that such an assumption is appropriate.

  18. Robi, Robichaud, Wind Technologies and Evolving Opportunities

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

    RPS * Wind Technology Overview * Larger Rotors * Taller Towers * Improved Controls * Wind Resource * Improved Assessment 2 Innova+on for Our Energy Future National Wind Technology...

  19. ANNUAL WIND DATA REPORT Thompson Island

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    ANNUAL WIND DATA REPORT Thompson Island March 1, 2002 ­ February 28, 2003 Prepared.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  20. Correlations in thermal comfort and natural wind

    E-Print Network [OSTI]

    Kang, Ki-Nam; Song, Doosam; Schiavon, Stefano

    2013-01-01T23:59:59.000Z

    Chaotic ?uctuation in natural wind and its application toof natural and mechanical wind in built environment usingcharacteristics of natural wind. Refrigeration 71 (821),

  1. Wind Turbine Acoustic Noise A white paper

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Wind Turbine Acoustic Noise A white paper Prepared by the Renewable Energy Research Laboratory...................................................................... 8 Sound from Wind Turbines .............................................................................................. 10 Sources of Wind Turbine Sound

  2. WIND DATA REPORT January -December, 2003

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Vinalhaven January - December, 2003 Prepared for Fox Islands Electric Cooperative...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  3. Strong wind forcing of the ocean

    E-Print Network [OSTI]

    Zedler, Sarah E.

    2007-01-01T23:59:59.000Z

    of mesoscale and steady wind driven 1. Introduction 2. Modelparameterization at high wind speeds 1. Introduction 2. DataSupplementary Formulae 1. Wind Stress 2. Rankine Vortex A .

  4. WIND DATA REPORT January -March, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Vinalhaven January - March, 2004 Prepared for Fox Islands Electric Cooperative...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  5. WIND DATA REPORT Deer Island Outfall

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Deer Island Outfall August 18, 2003 ­ December 4, 2003 Prepared for Massachusetts...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 7 Wind Speed Distributions

  6. WIND DATA REPORT Deer Island Parking Lot

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Deer Island Parking Lot May 1, 2003 ­ July 15, 2003 Prepared for Massachusetts...................................................................................................................... 7 Wind Speed Time Series............................................................................................................. 7 Wind Speed Distributions

  7. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    Wind Integration Costs ..adequacy costs. Wind generation costs are also significantlyvalue. 3. We add wind integration cost to the levelized cost

  8. Wavelet Analysis for Wind Fields Estimation

    E-Print Network [OSTI]

    Leite, Gladeston C.

    2013-01-01T23:59:59.000Z

    resource assessment and wind farm development in the UK. Inevaluation of oil spills and wind farms. Keywords: SAR; Winddata to characterize wind farms and their potential energy

  9. Sandia National Laboratories: Offshore Wind Energy Simulation...

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

    Offshore Wind Energy Simulation Toolkit Sandia Vertical-Axis Wind-Turbine Research Presented at Science of Making Torque from Wind Conference On July 8, 2014, in Computational...

  10. 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

    of the Northern Europe offshore wind resource, Journal ofof theoretical offshore wind farm for Jacksonville, Florida,interesting areas for offshore wind farm construction and

  11. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    Coal Wind Hybrid: Economic Analysis additional cost of fuelWind Hybrid: Economic Analysis Levelized Generation CostCoal Wind Hybrid: Economic Analysis Notes: All Cost are in

  12. Wind Webinar Presentation Slides | Department of Energy

    Office of Environmental Management (EM)

    Wind Webinar Presentation Slides Wind Webinar Presentation Slides Download presentation slides from the DOE Office of Indian Energy webinar on wind renewable energy. DOE Office of...

  13. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    of Figures Figure ES-1. Advanced Coal Wind Hybrid: Basicviii Figure 1. Advanced-Coal Wind Hybrid: Basic21 Figure 6. Comparison of ACWH and CCGT-Wind

  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

    of theoretical offshore wind farm for Jacksonville, Florida,interesting areas for offshore wind farm construction andof theoretical offshore wind farm on Jacksonville, Florida

  15. WIND DATA REPORT Quincy DPW, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  16. WIND DATA REPORT Bishop and Clerks

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Bishop and Clerks March 1, 2005 ­ May 31, 2005 Prepared for Massachusetts.................................................................................................................... 11 Wind Speed Time Series........................................................................................................... 11 Wind Speed Distributions

  17. WIND DATA REPORT Quincy Quarry Hills

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Quincy Quarry Hills December 2006 to February 2007 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  18. WIND DATA REPORT Quincy DPW, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  19. WIND DATA REPORT Quincy Quarry Hills

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Quincy Quarry Hills March 2007 to May 2007 Prepared for Massachusetts Technology...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  20. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts March 1, 2006 ­ May 31, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  1. WIND DATA REPORT Quincy DPW, MA

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  2. WIND DATA REPORT Tisbury, Martha's Vineyard,

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Tisbury, Martha's Vineyard, Massachusetts September 1, 2007 ­ November 30, 2007...................................................................................................................... 8 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions

  3. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts December 1st , 2007 ­ February 29...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  4. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts September 1, 2005 - November 31.................................................................................................................... 12 Wind Speed Time Series........................................................................................................... 12 Wind Speed Distributions

  5. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts June 1, 2007 ­ August 31, 2007...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  6. WIND DATA REPORT December, 2004 28th

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Orleans 1st December, 2004 ­28th February, 2005 Prepared for Massachusetts...................................................................................................................... 9 Wind Speed Time Series............................................................................................................. 9 Wind Speed Distributions.......................................................................................................

  7. WIND DATA REPORT Rockport School Complex

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND DATA REPORT Rockport School Complex Rockport, Massachusetts December 1, 2006 ­ February 28...................................................................................................................... 9 Wind Speed Time Series........................................................................................................... 10 Wind Speed Distributions

  8. Helping Policymakers Evaluate Distributed Wind Options | Department...

    Energy Savers [EERE]

    distributed wind-wind turbines installed at homes, farms, and busi-nesses. Distributed wind allows Americans to generate their own clean electricity and cut their energy bills,...

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

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

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

  10. Lincoln Heights, Ohio: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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

  11. A study of a cooling tower with variable packing heights 

    E-Print Network [OSTI]

    Khan, A. M. M. Farid

    1957-01-01T23:59:59.000Z

    for the uc;x oe of . 'f ~'F. CF 'SC L'. . INC 2 August 1957 i ajor: ', iechanical Zn;. :tneering A Stud. ;; of a Coolinp, Tower with Variable Packin- Heights A Thesis li. Vi. Farid Khan Approved as to style and. content by: Chaxrman of Commi tee... the Departm;. nt i~lonth Year fLCI inc)'&lr ' JGL&)) 'n fi3 a J thor ', ;laili . . io ila&' ' I. ' ~)oi&al J ?'. )' e . I al, &Lip & vi &or Heal ' oA'c '&I'oup oI . e& Ds !:I&Ei 1''el Ills i. oi&I'I'ei jb : taei i&n for i'urili li&i 1. ?a& rial anu equip...

  12. The physics and chemistry of the Schottky barrier height

    SciTech Connect (OSTI)

    Tung, Raymond T., E-mail: rtung@brooklyn.cuny.edu [Department of Physics, Brooklyn College, CUNY, 2900 Bedford Avenue, Brooklyn, New York 11210, USA and Physics Ph.D. Program, The Graduate Center, CUNY, 365 Fifth Avenue, New York 10016 (United States)

    2014-03-15T23:59:59.000Z

    The formation of the Schottky barrier height (SBH) is a complex problem because of the dependence of the SBH on the atomic structure of the metal-semiconductor (MS) interface. Existing models of the SBH are too simple to realistically treat the chemistry exhibited at MS interfaces. This article points out, through examination of available experimental and theoretical results, that a comprehensive, quantum-mechanics-based picture of SBH formation can already be constructed, although no simple equations can emerge, which are applicable for all MS interfaces. Important concepts and principles in physics and chemistry that govern the formation of the SBH are described in detail, from which the experimental and theoretical results for individual MS interfaces can be understood. Strategies used and results obtained from recent investigations to systematically modify the SBH are also examined from the perspective of the physical and chemical principles of the MS interface.

  13. South Dakota Wind Resource Assessment Network (WRAN)

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

    WRAN is a network of instrument stations sited throughout South Dakota. As of 2010, there are eleven stations, and some have been collecting data since 2001. The purpose of the WRAN:

    There are several reasons why the WRAN was built. One of the most obvious is that it will allow verification of the existing resource assessments of our state. South Dakota has tremendous potential as an exporter of wind-generated electricity. There has recently been a great deal of publicity over a Pacific Northwest National Laboratories study conducted in the early 1990s that ranked the contiguous 48 states in terms of their potential to produce windpower. (Click here for the results of this study as given by the American Wind Energy Association.) South Dakota ranked fourth in that study. Also, more recently, detailed maps of the wind resource in South Dakota were produced by the National Renewable Energy Laboratory (NREL). Unfortunately, both of these studies had to rely heavily on computer-generated models and very sparse measured data, because very little appropriate measured data exists. The WRAN will provide valuable data that we anticipate will validate the NREL maps, and perhaps suggest minor adjustments.

    There are many other benefits the WRAN will provide. The data it will measure will be at heights above ground that are more appropriate for predicting the performance of large modern wind turbines, as opposed to data collected at National Weather Service stations whose anemometers are usually only about 9 m (30 feet) above ground. Also, we will collect some different types of data than most wind measurement networks, which will allow a series of important studies of the potential impact and value of South Dakota's windpower. In addition, all of the WRAN data will be made available to the public via this WWWeb site. This will hopefully enable extensive informed discussion among all South Dakotans on such important topics as rural economic development and transmission system expansion. [Copied from http://sdwind.com/about/

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

    SciTech Connect (OSTI)

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

    1982-06-01T23:59:59.000Z

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

  15. NREL: Wind Research - Wind Resource Assessment

    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 CodesTransparency VisitSilver Toyota Prius being drivenandWebmasterWind

  16. Wind Vision 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-fTriWildcat 1 Wind Project Jump to:Wilson Hot

  17. Prairie 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: navigation,Pillar Group BV Jump to: navigation,Power Rental MarketEthanol LLC JumpWinds ND

  18. High 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: navigation, search OpenEIHesperia, California: Energy Resources JumpSheldon Energy Wind

  19. NREL: Wind Research - Offshore Wind Resource Characterization

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6 DecemberWind Resource

  20. NREL: Wind Research - Site Wind Resource Characteristics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6Site Wind Resource

  1. NREL: Wind Research - Small Wind Turbine Development

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6Site Wind ResourceSmall

  2. 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.

  3. Chaninik Wind Group Wind Heat Smart Grids Final Report

    SciTech Connect (OSTI)

    Meiners, Dennis [Technical Contact

    2013-06-29T23:59:59.000Z

    Final report summarizes technology used, system design and outcomes for US DoE Tribal Energy Program award to deploy Wind Heat Smart Grids in the Chaninik Wind Group communities in southwest Alaska.

  4. Responses of floating wind turbines to wind and wave excitation

    E-Print Network [OSTI]

    Lee, Kwang Hyun

    2005-01-01T23:59:59.000Z

    The use of wind power has recently emerged as a promising alternative to conventional electricity generation. However, space requirements and public pressure to place unsightly wind turbines out of visual range make it ...

  5. Wind Powering America Webinar Series (Postcard), Wind Powering America (WPA)

    SciTech Connect (OSTI)

    Not Available

    2012-02-01T23:59:59.000Z

    Wind Powering America offers a free monthly webinar series that provides expert information on today?s key wind energy topics. This postcard is an outreach tool that provides a brief description of the webinars as well as the URL.

  6. Wind Energy Status and Future Wind Engineering Challenges: Preprint

    SciTech Connect (OSTI)

    Thresher, R.; Schreck, S.; Robinson, M.; Veers, P.

    2008-08-01T23:59:59.000Z

    This paper describes the current status of wind energy technology, the potential for future wind energy development and the science and engineering challenges that must be overcome for the technology to meet its potential.

  7. Development of Regional Wind Resource and Wind Plant Output Datasets...

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

    50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

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

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-08-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Not Available

    2010-02-01T23:59:59.000Z

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

  10. 20% Wind Energy by 2030: Increasing Wind Energy's Contribution...

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

    0% Wind Energy by 2030 Increasing Wind Energy's Contribution to U.S. Electricity Supply DOEGO-102008-2578 * December 2008 More information is available on the web at:...

  11. 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.

  12. Wind motor applications for transportation

    SciTech Connect (OSTI)

    Lysenko, G.P.; Grigoriev, B.V.; Karpin, K.B. [Moscow Aviation Inst. (Russian Federation)

    1996-12-31T23:59:59.000Z

    Motion equation for a vehicle equipped with a wind motor allows, taking into account the drag coefficients, to determine the optimal wind drag velocity in the wind motor`s plane, and hence, obtain all the necessary data for the wind wheel blades geometrical parameters definition. This optimal drag velocity significantly differs from the flow drag velocity which determines the maximum wind motor power. Solution of the motion equation with low drag coefficients indicates that the vehicle speed against the wind may be twice as the wind speed. One of possible transportation wind motor applications is its use on various ships. A ship with such a wind motor may be substantially easier to steer, and if certain devices are available, may proceed in autonomous control mode. Besides, it is capable of moving within narrow fairways. The cruise speed of a sailing boat and wind-motored ship were compared provided that the wind velocity direction changes along a harmonic law with regard to the motion direction. Mean dimensionless speed of the wind-motored ship appears to be by 20--25% higher than that of a sailing boat. There was analyzed a possibility of using the wind motors on planet rovers in Mars or Venus atmospheric conditions. A Mars rover power and motor system has been assessed for the power level of 3 kW.

  13. The divergent wind component in data sparse tropical wind fields 

    E-Print Network [OSTI]

    Snyder, Bruce Alan

    1985-01-01T23:59:59.000Z

    boundary data were estimated by linear extrapolation from inner to outer grid points. Comparisons of level Illb wind data and cloud drift winds were made using Geostationary Operational Environmental Satelhte (GOES) West observed winds obtained from... for 0000 GMT 25 January 1979 were drawn and subjectively compared. Claudy regions viewed in enhanced GOES West imagery were superimposed on these streamline fields to determine whether the aliased wind fields correlated well with the convective activity...

  14. Testing the inverse-Compton catastrophe scenario in the intra-day variable blazar S5 0716+71: II. A search for intra-day variability at millimetre wavelengths with the IRAM 30 m telescope

    E-Print Network [OSTI]

    I. Agudo; T. P. Krichbaum; H. Ungerechts; A. Kraus; A. Witzel; E. Angelakis; L. Fuhrmann; U. Bach; S. Britzen; J. A. Zensus; S. J. Wagner; L. Ostorero; E. Ferrero; J. Gracia; M. Grewing

    2006-06-02T23:59:59.000Z

    We report on a densely time sampled polarimetric flux density monitoring of the BL Lac object S5 0716+71 at 86 GHz and 229 GHz with the IRAM 30 m telescope within a coordinated broad spectral band campaign, centred around an INTEGRAL observation during November 10 to 16, 2003. Our aim was to search for signatures of inverse-Compton "catastrophes". At 86 GHz, making use of a new calibration strategy, we reach a relative rms accuracy of the flux density measurements of 1.2%. At this frequency, S5 0716+71 showed no intra-day variability, but showed remarkable inter-day variability with a flux density increase of 34% during the first four observing days, which can not be explained by source extrinsic causes. The 86 GHz linear polarization fraction of S5 0716+71 was unusually large 15.0+-1.8%. Inter-day variability in linear polarization at 86 GHz, with significance level >~95%; sigma_P/=15% and sigma_chi=6 deg., was also observed. From the emission variations at the synchrotron turnover frequency (~86 GHz) we compute an apparent brightness temperature T_B,app>1.4x10^14K at a redshift of 0.3, which exceeds by two orders of magnitude the inverse-Compton limit. A relativistic correction for T_B,app with a Doppler factor delta > 7.8 brings the observed brightness temperature down to the inverse Compton limit. A more accurate lower limit of delta > 14.0, is obtained from the comparison of the 86 GHz synchrotron flux density and the upper limits for the synchrotron self-Compton flux density obtained from the INTEGRAL observations. The relativistic beaming of the emission by this high Doppler factor explains the non-detection of "catastrophic" inverse-Compton avalanches by INTEGRAL.

  15. 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.

  16. Winds of Education

    Open Energy Info (EERE)

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

  17. Wind Vision: Impacts

    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 globalWindWind Vision: Impacts

  18. Wind | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative JC3 RSS SeptemberRenewableAbout Key ActivitiesWhy EnergyWindPeer06 WindScience &

  19. Constraining Wind Stress Products with Sea Surface Height Observations and Implications for Pacific Ocean Sea Level Trend Attribution*

    E-Print Network [OSTI]

    England, Matthew

    Ocean Sea Level Trend Attribution* SHAYNE MCGREGOR, ALEXANDER SEN GUPTA, AND MATTHEW H. ENGLAND Climate are available that are commonly used to examine climate vari- ability or trends and as boundary conditions.e., upper ocean heat content redistribution) versus global mean sea level change (i.e., including

  20. WIND ENERGY Wind Energ. 2013; 00:112

    E-Print Network [OSTI]

    that by a novel change of variables, which focuses on power flows, we can transform the problem to one with linear rejection, model predictive control, convex optimization, wind power control, energy storage, power output to reliable operation of power systems due to the fluctuating nature of wind power. Thus, modern wind power

  1. LIDAR Wind Speed Measurements of Evolving Wind Fields

    SciTech Connect (OSTI)

    Simley, E.; Pao, L. Y.

    2012-07-01T23:59:59.000Z

    Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements are also evaluated with a large eddy simulation of a stable boundary layer provided by the National Center for Atmospheric Research. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios.

  2. Utilizing Wind: Optimal Wind Farm Placement in the United States

    E-Print Network [OSTI]

    Powell, Warren B.

    Utilizing Wind: Optimal Wind Farm Placement in the United States By: Yintao Sun Advisor: Professor . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 1.4.1 Carbon-based Fuels . . . . . . . . . . . . . . . . . . . . . . . . 11 1.4.2 Solar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 iv #12;CONTENTS v 3 Designing Wind Farm Portfolios 27 3.1 Applying Markowitz Portfolio Theory

  3. The Inside of a Wind Turbine

    Office of Energy Efficiency and Renewable Energy (EERE)

    Wind turbines harness the power of the wind and use it to generate electricity. Simply stated, a wind turbine works the opposite of a fan. Instead of using electricity to make wind, like a fan,...

  4. Wind Technologies and Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robi Robichaud

    2014-03-01T23:59:59.000Z

    This presentation provides an overview of wind energy research being conducted at the National Wind Technology Center, market and technology trends in wind energy, and opportunities for wind technology.

  5. Variables Affecting Economic Development of Wind Energy

    SciTech Connect (OSTI)

    Lantz, E.; Tegen, S.

    2008-07-01T23:59:59.000Z

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

  6. Cost of Offshore Wind Energy Charlene Nalubega

    E-Print Network [OSTI]

    Mountziaris, T. J.

    water as well as on land based wind farms. The specific offshore wind energy case under consideration, most of the offshore wind farms are in Europe, which started being developed in the early 1990's Cost of Offshore Wind Energy

  7. 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.

  8. The Solar Wind Energy Flux

    E-Print Network [OSTI]

    Chat, G Le; Meyer-Vernet, N

    2012-01-01T23:59:59.000Z

    The solar-wind energy flux measured near the ecliptic is known to be independent of the solar-wind speed. Using plasma data from Helios, Ulysses, and Wind covering a large range of latitudes and time, we show that the solar-wind energy flux is independent of the solar-wind speed and latitude within 10%, and that this quantity varies weakly over the solar cycle. In other words the energy flux appears as a global solar constant. We also show that the very high speed solar-wind (VSW > 700 km/s) has the same mean energy flux as the slower wind (VSW < 700 km/s), but with a different histogram. We use this result to deduce a relation between the solar-wind speed and density, which formalizes the anti-correlation between these quantities.

  9. Commercial Scale Wind Incentive Program

    Broader source: Energy.gov [DOE]

    Energy Trust of Oregon’s Commercial Scale Wind offering provides resources and cash incentives to help communities, businesses land owners, and government entities install wind turbine systems up...

  10. Sandia National Laboratories: Wind Power

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

    known that large amounts of wind energy are not effectively harvested in large wind farms because the turbines "shadow" each other and reduce the output of the turbines located...

  11. AWEA Wind Project Siting Seminar

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  12. 2009 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2010-01-01T23:59:59.000Z

    generating sets. Wind turbine blades, hubs, generators,wind turbine components that include towers (trade category is “towers and lattice masts”), generators (“AC generators from 750 to 10,000 kVA”), blades

  13. San Diego County- Wind Regulations

    Broader source: Energy.gov [DOE]

    The County of San Diego has established zoning guidelines for wind turbine systems of varying sizes in the unincorporated areas of San Diego County. Wind turbine systems can be classified as small,...

  14. Sandia National Laboratories: wind energy

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

    More Energy with Less Weight On May 18, 2011, in Energy, News, Renewable Energy, Wind Energy The following is from an article published in WindStats Newsletter Vol. 19, No. 4. The...

  15. Wind Measurement Equipment: Registration (Nebraska)

    Broader source: Energy.gov [DOE]

    All wind measurement equipment associated with the development or study of wind-powered electric generation, whether owned or leased, shall be registered with the Department of Aeronautics if the...

  16. Solar and Wind Permitting Laws

    Broader source: Energy.gov [DOE]

    New Jersey has enacted three separate laws addressing local permitting practices for solar and wind energy facilities. The first deals with solar and wind facilities located in industrial-zoned...

  17. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

    2011-04-01T23:59:59.000Z

    This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

  18. Indium Growth and Island Height Control on Si Submonolayer Phases

    SciTech Connect (OSTI)

    Chen, Jizhou

    2009-05-09T23:59:59.000Z

    Nanotechnology refers any technique that involves about object with nanoscale (10{sup -9} m) or even smaller. It has become more and more important in recently years and has changed our world dramatically. Most of modern electronic devices today should thanks to the miniaturizing driven by development of nanotechnology. Recent years, more and more governments are investing huge amount of money in research related to nanotechnology. There are two major reasons that nanostructure is so fascinate. The first one is the miniaturizing. It is obvious that if we can make products smaller without losing the features, we can save the cost and increase the performance dramatically. For an example, the first computer in the world, ENIAC, which occupied several rooms, is less powerful than the cheapest calculator today. Today's chips with sizes of less than half an inch contain millions of basic units. All these should thank to the development of nanotechnology. The other reason is that when we come to nanoscale, there are many new effects due to the quantum effect which can't be found in large systems. For an example, quantum dots (QDs) are systems which sizes are below 1{micro}m(10{sup -6}m) and restricted in three dimensions. There are many interesting quantum effects in QDs, including discrete energy levels, and interdot coupling. Due to these properties and their small sizes, QDs have varies potential applications such as quantum computing, probe, light emitting device, solar cells, and laser. To meet the requirement of the nanoelectrical applications, the QDs must be grown highly uniformly because their property is highly dependent on their sizes. The major methods to grow uniform QDs include epitaxial, and lithograph. Lithography is a process to make patterns on a thin film by selectively removing certain parts of the film. Using this method, people have good control over size, location and spacing of QDs. For an example, the Extreme ultraviolet lithography (EUVL) have a wave length of 13.4nm so it can curve on the surface of an sample to make structure as small as the order of 10nm. however, lithograph usually causes permanent damages to the surface and in many cases the QDs are damaged during the lithograph and therefore result in high percentage of defects. Quantum size effect has attracted more and more interests in surface science due to many of its effects. One of its effects is the height preference in film growing and the resulting possibility of uniformly sized self-assemble nanostructure. The experiment of Pb islands on In 4x1 phase shows that both the height and the width can be controlled by proper growth conditions, which expands the growth dimensions from 1 to 2. This discover leads us to study the In/Pb interface. In Ch.3, we found that the Pb islands growing on In 4x1-Si(111) surface which have uniform height due to QSE and uniform width due to the constriction of In 4x1 lattice have unexpected stability. These islands are stable in even RT, unlike usual nanostructures on Pb/Si surface which are stable only at low temperature. Since similar structures are usually grown at low temperature, this discovery makes the grown structures closer to technological applications. It also shows the unusual of In/Pb interface. Then we studied the In islands grown on Pb-{alpha}-{radical}3x{radical}3-Si(111) phase in Ch.4. These islands have fcc structure in the first few layers, and then convert to bct structure. The In fcc islands have sharp height preference due to QSE like Pb islands. However, the preferred height is different (7 layer for Pb on Si 7x7 and 4 layer for Pb on In 4x1), due to the difference of interface. The In islands structure prefers to be bct than fcc with coverage increase. It is quantitatively supported by first-principle calculation. Unexpectedly, the In islands grown on various of In interfaces didn't show QSE effects and phase transition from fcc and bct structures as on the Pb-{alpha} interface (Ch.6). In g(s) curve there is no clear oscillations in the g(s) curve as the In on Pb-{alpha} phase. This

  19. October 11, 2011 Wind Generation

    E-Print Network [OSTI]

    Ford, Andrew

    ;#12;#12;#12;#12;#12;RPS: Renewable Portfolio Standard · Renewable: solar, biomass, geothermal, hydro, wind · 75% expected

  20. DWEA SMART Wind Composites Subgroup

    Broader source: Energy.gov [DOE]

    Monday, February 16, 6:00 PMOpen to all SMART Wind participants: “Dutch Treat” group dinner, RSVP required | Location: TBD