Articles | Volume 5, issue 3
https://doi.org/10.5194/wes-5-1097-2020
© Author(s) 2020. 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-5-1097-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Aug 2020
Research article |
| 24 Aug 2020
| 24 Aug 2020
Clustering wind profile shapes to estimate airborne wind energy production
Mark Schelbergen
CORRESPONDING AUTHOR
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
Peter C. Kalverla
Meteorology and Air Quality Section, Wageningen University, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Roland Schmehl
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
Simon J. Watson
Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, the Netherlands
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Cited
18 citations as recorded by crossref.
- Dynamic analysis of the tensegrity structure of a rotary airborne wind energy machine G. Sánchez-Arriaga et al. 10.5194/wes-9-1273-2024
- Study on Wind Profile Characteristics Using Cluster Analysis Y. Wang et al. 10.3390/atmos15060708
- Characteristics of Wind Profiles for Airborne Wind Energy Systems H. He et al. 10.3390/en18092373
- Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems C. Vermillion et al. 10.1016/j.arcontrol.2021.03.002
- Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations E. Cheynet et al. 10.5194/wes-10-733-2025
- Sizing of Hybrid Power Systems for Off-Grid Applications Using Airborne Wind Energy S. Reuchlin et al. 10.3390/en16104036
- Six-degrees-of-freedom simulation model for future multi-megawatt airborne wind energy systems D. Eijkelhof & R. Schmehl 10.1016/j.renene.2022.06.094
- Six-Degrees-Of-Freedom Simulation Model for Future Multi-Megawatt Airborne Wind Energy Systems D. Eijkelhof & R. Schmehl 10.2139/ssrn.4003237
- Assessment of the Black Sea High-Altitude Wind Energy F. Onea et al. 10.3390/jmse10101463
- Variable mass modeling and velocity stability analysis of axially moving tether X. Long et al. 10.1016/j.oceaneng.2023.115956
- Value-Driven System Design of Utility-Scale Airborne Wind Energy R. Joshi et al. 10.3390/en16042075
- Power curve modelling and scaling of fixed-wing ground-generation airborne wind energy systems R. Joshi et al. 10.5194/wes-9-2195-2024
- Impact of wind profiles on ground-generation airborne wind energy system performance M. Sommerfeld et al. 10.5194/wes-8-1153-2023
- The potential role of airborne and floating wind in the North Sea region H. Vos et al. 10.1088/2753-3751/ad3fbc
- Vertical structure of a springtime smoky and humid troposphere over the southeast Atlantic from aircraft and reanalysis K. Pistone et al. 10.5194/acp-24-7983-2024
- Scaling effects of fixed-wing ground-generation airborne wind energy systems M. Sommerfeld et al. 10.5194/wes-7-1847-2022
- Assessing the impact of waves and platform dynamics on floating wind-turbine energy production A. Fontanella et al. 10.5194/wes-9-1393-2024
- Validation of the quasi-steady performance model for pumping airborne wind energy systems M. Schelbergen & R. Schmehl 10.1088/1742-6596/1618/3/032003
18 citations as recorded by crossref.
- Dynamic analysis of the tensegrity structure of a rotary airborne wind energy machine G. Sánchez-Arriaga et al. 10.5194/wes-9-1273-2024
- Study on Wind Profile Characteristics Using Cluster Analysis Y. Wang et al. 10.3390/atmos15060708
- Characteristics of Wind Profiles for Airborne Wind Energy Systems H. He et al. 10.3390/en18092373
- Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems C. Vermillion et al. 10.1016/j.arcontrol.2021.03.002
- Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations E. Cheynet et al. 10.5194/wes-10-733-2025
- Sizing of Hybrid Power Systems for Off-Grid Applications Using Airborne Wind Energy S. Reuchlin et al. 10.3390/en16104036
- Six-degrees-of-freedom simulation model for future multi-megawatt airborne wind energy systems D. Eijkelhof & R. Schmehl 10.1016/j.renene.2022.06.094
- Six-Degrees-Of-Freedom Simulation Model for Future Multi-Megawatt Airborne Wind Energy Systems D. Eijkelhof & R. Schmehl 10.2139/ssrn.4003237
- Assessment of the Black Sea High-Altitude Wind Energy F. Onea et al. 10.3390/jmse10101463
- Variable mass modeling and velocity stability analysis of axially moving tether X. Long et al. 10.1016/j.oceaneng.2023.115956
- Value-Driven System Design of Utility-Scale Airborne Wind Energy R. Joshi et al. 10.3390/en16042075
- Power curve modelling and scaling of fixed-wing ground-generation airborne wind energy systems R. Joshi et al. 10.5194/wes-9-2195-2024
- Impact of wind profiles on ground-generation airborne wind energy system performance M. Sommerfeld et al. 10.5194/wes-8-1153-2023
- The potential role of airborne and floating wind in the North Sea region H. Vos et al. 10.1088/2753-3751/ad3fbc
- Vertical structure of a springtime smoky and humid troposphere over the southeast Atlantic from aircraft and reanalysis K. Pistone et al. 10.5194/acp-24-7983-2024
- Scaling effects of fixed-wing ground-generation airborne wind energy systems M. Sommerfeld et al. 10.5194/wes-7-1847-2022
- Assessing the impact of waves and platform dynamics on floating wind-turbine energy production A. Fontanella et al. 10.5194/wes-9-1393-2024
- Validation of the quasi-steady performance model for pumping airborne wind energy systems M. Schelbergen & R. Schmehl 10.1088/1742-6596/1618/3/032003
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Short summary
We have presented a methodology for including multiple wind profile shapes in a wind resource description that are identified using a data-driven approach. These shapes go beyond the height range for which conventional wind profile relationships are developed. Moreover, they include non-monotonic shapes such as low-level jets. We demonstrated this methodology for an on- and offshore reference location using DOWA data and efficiently estimated the annual energy production of a pumping AWE system.
We have presented a methodology for including multiple wind profile shapes in a wind resource...
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