Articles | Volume 6, issue 6
https://doi.org/10.5194/wes-6-1379-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-6-1379-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Nov 2021
Research article |
| 04 Nov 2021
| 04 Nov 2021
Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling
DTU Wind Energy, Risø Campus, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Merete Badger
DTU Wind Energy, Risø Campus, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Ib Troen
DTU Wind Energy, Risø Campus, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Kenneth Grogan
DHI GRAS A/S, Agern Alle 5, 2970 Hørsholm, Denmark
Finn-Hendrik Permien
Siemens Gamesa Renewable Energy A/S, Borupvej 16, 7330 Brande, Denmark
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Short summary
Wind turbines are frequently placed in forests. We investigate the potential of using satellites to characterize the land surface for wind flow modelling. Maps of forest properties are generated from satellite data and converted to flow modelling maps. Validation is carried out at 10 sites. Using the novel satellite-based maps leads to lower errors of the power density than land cover databases, which demonstrates the value of using satellite-based land cover maps for flow modelling.
Wind turbines are frequently placed in forests. We investigate the potential of using satellites...
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