Articles | Volume 3, issue 1
https://doi.org/10.5194/wes-3-191-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-3-191-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Apr 2018
Research article |
| 13 Apr 2018
| 13 Apr 2018
On wake modeling, wind-farm gradients, and AEP predictions at the Anholt wind farm
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Kurt Schaldemose Hansen
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Søren Ott
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Maarten Paul van der Laan
DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
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Cited
22 citations as recorded by crossref.
- FLOWERS AEP: An Analytical Model for Wind Farm Layout Optimization M. LoCascio et al. 10.1002/we.2954
- Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
- 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
- A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes M. Amiri et al. 10.1016/j.rser.2024.114279
- Analysis of Vertical Wind Shear Effects on Offshore Wind Energy Prediction Accuracy Applying Rotor Equivalent Wind Speed and the Relationship with Atmospheric Stability G. Ryu et al. 10.3390/app12146949
- Augmenting insights from wind turbine data through data-driven approaches C. Moss et al. 10.1016/j.apenergy.2024.124116
- US East Coast synthetic aperture radar wind atlas for offshore wind energy T. Ahsbahs et al. 10.5194/wes-5-1191-2020
- On the effects of environmental conditions on wind turbine performance: an offshore case study E. Gonzalez et al. 10.1088/1742-6596/1356/1/012043
- Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy H. Ren et al. 10.3390/en12010016
- Wake Effect Quantification using SCADA Data and LES Modelling of an Operational Offshore Wind Farm W. Chanprasert et al. 10.1088/1742-6596/2767/9/092012
- Mesoscale weather systems and associated potential wind power variations in a midlatitude sea strait (Kattegat) J. Neirynck et al. 10.5194/wes-9-1695-2024
- Observation and Large Eddy Simulation of Coastal Winds at Anholt Offshore Wind Farm W. Chanprasert et al. 10.1088/1742-6596/2362/1/012008
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. 10.5194/wes-8-691-2023
- Study on wake effect of series fans Z. Zhang et al. 10.1088/1742-6596/1237/5/052044
- Analytical model for the power–yaw sensitivity of wind turbines operating in full wake J. Liew et al. 10.5194/wes-5-427-2020
- Applications of satellite winds for the offshore wind farm site Anholt T. Ahsbahs et al. 10.5194/wes-3-573-2018
- Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms J. Rodrigo et al. 10.1088/1742-6596/1618/6/062044
- H2-powered aviation – Design and economics of green LH2 supply for airports J. Hoelzen et al. 10.1016/j.ecmx.2023.100442
- Effect of an abrupt rough-to-smooth surface roughness transition on wind farm wakes: An LES and analytical modeling study N. Kethavath & N. Ghaisas 10.1063/5.0202733
- The Jensen wind farm parameterization Y. Ma et al. 10.5194/wes-7-2407-2022
- Integrated wind farm layout and control optimization M. Pedersen & G. Larsen 10.5194/wes-5-1551-2020
- Review and evaluation of wake loss models for wind energy applications C. Archer et al. 10.1016/j.apenergy.2018.05.085
21 citations as recorded by crossref.
- FLOWERS AEP: An Analytical Model for Wind Farm Layout Optimization M. LoCascio et al. 10.1002/we.2954
- Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
- 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
- A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes M. Amiri et al. 10.1016/j.rser.2024.114279
- Analysis of Vertical Wind Shear Effects on Offshore Wind Energy Prediction Accuracy Applying Rotor Equivalent Wind Speed and the Relationship with Atmospheric Stability G. Ryu et al. 10.3390/app12146949
- Augmenting insights from wind turbine data through data-driven approaches C. Moss et al. 10.1016/j.apenergy.2024.124116
- US East Coast synthetic aperture radar wind atlas for offshore wind energy T. Ahsbahs et al. 10.5194/wes-5-1191-2020
- On the effects of environmental conditions on wind turbine performance: an offshore case study E. Gonzalez et al. 10.1088/1742-6596/1356/1/012043
- Actuator Disc Approach of Wind Turbine Wake Simulation Considering Balance of Turbulence Kinetic Energy H. Ren et al. 10.3390/en12010016
- Wake Effect Quantification using SCADA Data and LES Modelling of an Operational Offshore Wind Farm W. Chanprasert et al. 10.1088/1742-6596/2767/9/092012
- Mesoscale weather systems and associated potential wind power variations in a midlatitude sea strait (Kattegat) J. Neirynck et al. 10.5194/wes-9-1695-2024
- Observation and Large Eddy Simulation of Coastal Winds at Anholt Offshore Wind Farm W. Chanprasert et al. 10.1088/1742-6596/2362/1/012008
- The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. 10.5194/wes-8-691-2023
- Study on wake effect of series fans Z. Zhang et al. 10.1088/1742-6596/1237/5/052044
- Analytical model for the power–yaw sensitivity of wind turbines operating in full wake J. Liew et al. 10.5194/wes-5-427-2020
- Applications of satellite winds for the offshore wind farm site Anholt T. Ahsbahs et al. 10.5194/wes-3-573-2018
- Validation of Meso-Wake Models for Array Efficiency Prediction Using Operational Data from Five Offshore Wind Farms J. Rodrigo et al. 10.1088/1742-6596/1618/6/062044
- H2-powered aviation – Design and economics of green LH2 supply for airports J. Hoelzen et al. 10.1016/j.ecmx.2023.100442
- Effect of an abrupt rough-to-smooth surface roughness transition on wind farm wakes: An LES and analytical modeling study N. Kethavath & N. Ghaisas 10.1063/5.0202733
- The Jensen wind farm parameterization Y. Ma et al. 10.5194/wes-7-2407-2022
- Integrated wind farm layout and control optimization M. Pedersen & G. Larsen 10.5194/wes-5-1551-2020
1 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
We analyze the wake of the Anholt offshore wind farm in Denmark by intercomparing models and measurements. We also look at the effect of the land on the wind farm by intercomparing mesoscale winds and measurements. Annual energy production and capacity factor estimates are performed using different approaches. Lastly, the uncertainty of the wake models is determined by bootstrapping the data; we find that the wake models generally underestimate the wake losses.
We analyze the wake of the Anholt offshore wind farm in Denmark by intercomparing models and...
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