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Advances in Offshore Wind Resource Estimation

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Advances in Wind Energy Conversion Technology

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Abstract

Wind resource mapping is basically a meteorological time-series statistical analysis, to which the features of the landscape such as roughness, topography and local obstacles are integrated. The normal procedure is to use the WAsP program which is de facto standard for wind turbine siting]. The basic principle of the program is to solve the atmospheric flow equation using the logarithmic wind profile law and then to include the effects of the terrain. The optimal situation is to have accurate, long-term wind and turbulence observations from the height in the atmospheric boundary layer at the site where a wind farm is envisioned. This information provides the basis for wind resource mapping, identifying extreme conditions and wind load on the turbines.

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Acknowledgments

Funding from the Danish Research Academy for the SAT-WIND project (Sagsnr. 2058-03-0006), SAT-WIND-SMV (Sagsnr. 2104-05-0084), 12 MW project (Sagsnr. 2104-05-0013), the Danish PSO project Large Wind Farms Shadow Effects (PSO F&U 4103), European Space Agency (ESA) EO-windfarm (contract 17736/03/I-IW) and the EU WISE project (NNE5-2201-297) are acknowledged. Cooperation with Paul B. Sørensen at DONG Energy (DK), Frank Monaldo and Don Thompson at Johns Hopkins University, Applied Physics Laboratory (USA) and Lars Boye Hansen at GRAS (DK) are acknowledged. Envisat ASAR images from ESA Cat. 1 EO-1356 and EO-3644 projects are acknowledged. KAMM is used with kind permission from Karlsruhe University, Germany. NCEP/NCAR reanalysis data were provided by the National Center for Environmental Prediction (NCEP), USA and the National Center for Atmospheric Research (NCAR), USA. SRTM data were provided by the National Geospatial-Intelligence Agency (NGA), USA and the National Aeronautics and Space Administration (NASA), USA. The GLCC dataset was provided by the United States Geological Survey (USGS).

Author information

Authors and Affiliations

  1. Risø National Laboratory for Sustainable Energy, Wind Energy Division, Risø DTU, VEA-118, P.O. Box 49, Frederiksborgvej 399, 4000, Roskilde, Denmark

    Charlotte Bay Hasager, Merete Bruun Badger, Alfredo Peña, Jake Badger, Morten Nielsen, Poul Astrup, Mike Courtney & Torben Mikkelsen

  2. Siemens Wind Power A/S, Lyngby, Denmark

    Ioannis Antoniou

Authors
  1. Charlotte Bay Hasager
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  2. Merete Bruun Badger
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  3. Alfredo Peña
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  4. Jake Badger
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  5. Ioannis Antoniou
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  6. Morten Nielsen
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  7. Poul Astrup
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  8. Mike Courtney
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  9. Torben Mikkelsen
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Corresponding author

Correspondence to Charlotte Bay Hasager .

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Editors and Affiliations

  1. Kelappaji College of Agricultural, Engineering & Technology(KCAET), Kerala Agricultural University, Tavanur, Malapuram, 679573, Kerala, India

    Mathew Sathyajith

  2. Kelappaji College of Agricultural, Engineering & Technology(KCAET), Kerala Agricultural University, Tavanur, Malapuram, 679573, Kerala, India

    Geeta Susan Philip

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Hasager, C.B. et al. (2011). Advances in Offshore Wind Resource Estimation. In: Sathyajith, M., Philip, G. (eds) Advances in Wind Energy Conversion Technology. Environmental Science and Engineering(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88258-9_3

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