Articles | Volume 3, issue 2
https://doi.org/10.5194/wes-3-573-2018
© Author(s) 2018. 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-3-573-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Aug 2018
Research article |
| 24 Aug 2018
| 24 Aug 2018
Applications of satellite winds for the offshore wind farm site Anholt
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
Merete Badger
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
Patrick Volker
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
Kurt S. Hansen
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
Charlotte B. Hasager
Department of Wind Energy, Technical University of Denmark, Roskilde,
4000, Denmark
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Cited
24 citations as recorded by crossref.
- A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement M. Nezhad et al. 10.1016/j.renene.2021.03.026
- Observation and Large Eddy Simulation of Coastal Winds at Anholt Offshore Wind Farm W. Chanprasert et al. 10.1088/1742-6596/2362/1/012008
- Satellite Data Applications for Sustainable Energy Transitions M. Edwards et al. 10.3389/frsus.2022.910924
- Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models B. Cañadillas et al. 10.1002/we.2484
- The use of Sentinel-1 OCN products for preliminary deep offshore wind energy potential estimation: A case study on Ionian sea C. Caligiuri et al. 10.1016/j.jestch.2022.101117
- Inter-calibration of SAR data series for offshore wind resource assessment M. Badger et al. 10.1016/j.rse.2019.111316
- Application of stacked and bidirectional long short-term memory deep learning models for wind speed forecasting at an offshore site B. Saxena et al. 10.1080/15567036.2021.1925379
- US East Coast synthetic aperture radar wind atlas for offshore wind energy T. Ahsbahs et al. 10.5194/wes-5-1191-2020
- Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al. 10.3390/rs15020409
- Estimating the benefit of Doppler wind lidars for short‐term low‐level wind ensemble forecasts T. Nomokonova et al. 10.1002/qj.4402
- A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method M. Majidi Nezhad et al. 10.1016/j.renene.2021.08.013
- A new wake‐merging method for wind‐farm power prediction in the presence of heterogeneous background velocity fields L. Lanzilao & J. Meyers 10.1002/we.2669
- Europe's offshore winds assessed with synthetic aperture radar, ASCAT and WRF C. Hasager et al. 10.5194/wes-5-375-2020
- Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1) S. Siedersleben et al. 10.5194/gmd-13-249-2020
- Wind Speed Variation Mapped Using SAR before and after Commissioning of Offshore Wind Farms A. Owda & M. Badger 10.3390/rs14061464
- Wind Farm Wakes from SAR and Doppler Radar T. Ahsbahs et al. 10.3390/rs12030462
- Floating wind turbines: marine operations challenges and opportunities R. Chitteth Ramachandran et al. 10.5194/wes-7-903-2022
- A revised offshore wind resource assessment and site selection along the Indian coast using ERA5 near-hub-height wind products R. Patel et al. 10.1016/j.oceaneng.2022.111341
- Potential Influence of Offshore Wind Farms on the Marine Stratification in the Waters Adjacent to China Z. Lian et al. 10.3390/jmse10121872
- Green Energy Sources Assessment Using Sentinel-1 Satellite Remote Sensing M. Majidi Nezhad et al. 10.3389/fenrg.2021.649305
- Improving SAR wind retrieval through automatic anomalous pixel detection A. Owda et al. 10.1016/j.jag.2023.103444
- Evaluation of SAR-Based Sea State Parameters and Roughness Length Derivation Over the Coastal Seas of the USA A. Owda et al. 10.1109/JSTARS.2024.3393862
- Study of Coastal Effects Relevant for Offshore Wind Energy Using Spaceborne Synthetic Aperture Radar (SAR) B. Djath et al. 10.3390/rs14071688
- Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. 10.5194/wes-7-1241-2022
24 citations as recorded by crossref.
- A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement M. Nezhad et al. 10.1016/j.renene.2021.03.026
- Observation and Large Eddy Simulation of Coastal Winds at Anholt Offshore Wind Farm W. Chanprasert et al. 10.1088/1742-6596/2362/1/012008
- Satellite Data Applications for Sustainable Energy Transitions M. Edwards et al. 10.3389/frsus.2022.910924
- Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models B. Cañadillas et al. 10.1002/we.2484
- The use of Sentinel-1 OCN products for preliminary deep offshore wind energy potential estimation: A case study on Ionian sea C. Caligiuri et al. 10.1016/j.jestch.2022.101117
- Inter-calibration of SAR data series for offshore wind resource assessment M. Badger et al. 10.1016/j.rse.2019.111316
- Application of stacked and bidirectional long short-term memory deep learning models for wind speed forecasting at an offshore site B. Saxena et al. 10.1080/15567036.2021.1925379
- US East Coast synthetic aperture radar wind atlas for offshore wind energy T. Ahsbahs et al. 10.5194/wes-5-1191-2020
- Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al. 10.3390/rs15020409
- Estimating the benefit of Doppler wind lidars for short‐term low‐level wind ensemble forecasts T. Nomokonova et al. 10.1002/qj.4402
- A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method M. Majidi Nezhad et al. 10.1016/j.renene.2021.08.013
- A new wake‐merging method for wind‐farm power prediction in the presence of heterogeneous background velocity fields L. Lanzilao & J. Meyers 10.1002/we.2669
- Europe's offshore winds assessed with synthetic aperture radar, ASCAT and WRF C. Hasager et al. 10.5194/wes-5-375-2020
- Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1) S. Siedersleben et al. 10.5194/gmd-13-249-2020
- Wind Speed Variation Mapped Using SAR before and after Commissioning of Offshore Wind Farms A. Owda & M. Badger 10.3390/rs14061464
- Wind Farm Wakes from SAR and Doppler Radar T. Ahsbahs et al. 10.3390/rs12030462
- Floating wind turbines: marine operations challenges and opportunities R. Chitteth Ramachandran et al. 10.5194/wes-7-903-2022
- A revised offshore wind resource assessment and site selection along the Indian coast using ERA5 near-hub-height wind products R. Patel et al. 10.1016/j.oceaneng.2022.111341
- Potential Influence of Offshore Wind Farms on the Marine Stratification in the Waters Adjacent to China Z. Lian et al. 10.3390/jmse10121872
- Green Energy Sources Assessment Using Sentinel-1 Satellite Remote Sensing M. Majidi Nezhad et al. 10.3389/fenrg.2021.649305
- Improving SAR wind retrieval through automatic anomalous pixel detection A. Owda et al. 10.1016/j.jag.2023.103444
- Evaluation of SAR-Based Sea State Parameters and Roughness Length Derivation Over the Coastal Seas of the USA A. Owda et al. 10.1109/JSTARS.2024.3393862
- Study of Coastal Effects Relevant for Offshore Wind Energy Using Spaceborne Synthetic Aperture Radar (SAR) B. Djath et al. 10.3390/rs14071688
- Offshore wind farm cluster wakes as observed by long-range-scanning wind lidar measurements and mesoscale modeling B. Cañadillas et al. 10.5194/wes-7-1241-2022
Latest update: 03 Nov 2024
Short summary
Satellites offer wind measurements offshore and can resolve the wind speed on scales of up to 500 m. To date, this data is not routinely used in the industry for planning wind farms. We show that this data can be used to predict local differences in the mean wind speed around the Anholt offshore wind farm. With satellite data, site-specific wind measurements can be introduced early in the planning phase of an offshore wind farm and help decision makers.
Satellites offer wind measurements offshore and can resolve the wind speed on scales of up to...
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