Articles | Volume 7, issue 4
https://doi.org/10.5194/wes-7-1503-2022
© Author(s) 2022. 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-7-1503-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The wide range of factors contributing to wind resource assessment accuracy in complex terrain
Eastern Switzerland University of Applied Sciences, Oberseestraße 10, 8640 Rapperswil, Switzerland
Alain Schubiger
Eastern Switzerland University of Applied Sciences, Oberseestraße 10, 8640 Rapperswil, Switzerland
Sara Koller
Meteotest AG, Fabrikstraße 14, 3012 Bern, Switzerland
Dominik Eggli
Meteotest AG, Fabrikstraße 14, 3012 Bern, Switzerland
Alexander Radi
Enercon GmbH, 14 E Rue des Clairières, 44840 Les Sorinières, France
Andreas Rumpf
Hochschule Esslingen, Kanalstr. 33, 73728 Esslingen am Neckar, Germany
Hermann Knaus
Hochschule Esslingen, Kanalstr. 33, 73728 Esslingen am Neckar, Germany
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Cited
14 citations as recorded by crossref.
- Analysis of Turbulence and Wind Shear Characteristics in the Hilly Terrain of the Geba Catchment Tigray, North Ethiopia M. Kahsay et al. https://doi.org/10.3390/atmos16121374
- Motion-Induced Errors in Buoy-Based Wind Measurements: Mechanisms, Compensation Methods, and Future Perspectives for Offshore Applications D. Cao et al. https://doi.org/10.3390/s26030920
- A critical analysis of the uncertainty in the production estimation of wind parks in complex terrains P. Melani et al. https://doi.org/10.1016/j.rser.2023.113339
- Projections of wind energy potential in southern Indonesia using a hybrid CMIP6 downscaling framework N. Jouhary et al. https://doi.org/10.1016/j.seta.2026.105101
- A Support Process for Early-Stage Wind Farm Repowering Decisions Using Constrained Optimization Techniques to Address Uncertainty H. Norton et al. https://doi.org/10.3390/wind6020017
- Hybrid physics-statistical-machine learning framework for improved measure-correlate-predict (MCP) modeling in wind energy resource assessment M. Ortiz-Restrepo et al. https://doi.org/10.1051/e3sconf/202672101006
- A Complete CFD Methodology Based on Iterative Model Adjustment to Improve Wind Simulation Accuracy in Highly Dense Forest Area E. Leonard et al. https://doi.org/10.3390/en19092243
- CFD-Assisted Validation of Weibull-Based Wind-Speed Reconstruction Using OpenFOAM I. Ekmekci et al. https://doi.org/10.3390/modelling7040127
- A workflow for including atmospheric stability effects in wind resource and yield assessment and its evaluation against wind measurements and SCADA M. Diallo et al. https://doi.org/10.1088/1742-6596/2507/1/012018
- A Quantitative Assessment of Uncertainty Reduction as a Function of Measurement Campaign Length Using Linear and Machine-Learning MCP Models A. Abascal Mendez et al. https://doi.org/10.3390/inventions11020023
- Fully Automated Wind Site Assessment in Complex Terrain Using Satellite Data and Global Circulation Models A. Horvath et al. https://doi.org/10.3390/rs18091403
- Enhancing standard CFD based practices for site assessment through polynomial surrogates for estimating uncertainty in wind speed Z. Lakdawala et al. https://doi.org/10.1088/1742-6596/2745/1/012016
- Assessing the Impact of Forests on Wind Flow Dynamics and Wind Turbine Energy Production S. Orlova et al. https://doi.org/10.3390/wind6010010
- Wind Field Modeling over Hilly Terrain: A Review of Methods, Challenges, Limitations, and Future Directions W. Wang & F. Chen https://doi.org/10.3390/app151810186
14 citations as recorded by crossref.
- Analysis of Turbulence and Wind Shear Characteristics in the Hilly Terrain of the Geba Catchment Tigray, North Ethiopia M. Kahsay et al. https://doi.org/10.3390/atmos16121374
- Motion-Induced Errors in Buoy-Based Wind Measurements: Mechanisms, Compensation Methods, and Future Perspectives for Offshore Applications D. Cao et al. https://doi.org/10.3390/s26030920
- A critical analysis of the uncertainty in the production estimation of wind parks in complex terrains P. Melani et al. https://doi.org/10.1016/j.rser.2023.113339
- Projections of wind energy potential in southern Indonesia using a hybrid CMIP6 downscaling framework N. Jouhary et al. https://doi.org/10.1016/j.seta.2026.105101
- A Support Process for Early-Stage Wind Farm Repowering Decisions Using Constrained Optimization Techniques to Address Uncertainty H. Norton et al. https://doi.org/10.3390/wind6020017
- Hybrid physics-statistical-machine learning framework for improved measure-correlate-predict (MCP) modeling in wind energy resource assessment M. Ortiz-Restrepo et al. https://doi.org/10.1051/e3sconf/202672101006
- A Complete CFD Methodology Based on Iterative Model Adjustment to Improve Wind Simulation Accuracy in Highly Dense Forest Area E. Leonard et al. https://doi.org/10.3390/en19092243
- CFD-Assisted Validation of Weibull-Based Wind-Speed Reconstruction Using OpenFOAM I. Ekmekci et al. https://doi.org/10.3390/modelling7040127
- A workflow for including atmospheric stability effects in wind resource and yield assessment and its evaluation against wind measurements and SCADA M. Diallo et al. https://doi.org/10.1088/1742-6596/2507/1/012018
- A Quantitative Assessment of Uncertainty Reduction as a Function of Measurement Campaign Length Using Linear and Machine-Learning MCP Models A. Abascal Mendez et al. https://doi.org/10.3390/inventions11020023
- Fully Automated Wind Site Assessment in Complex Terrain Using Satellite Data and Global Circulation Models A. Horvath et al. https://doi.org/10.3390/rs18091403
- Enhancing standard CFD based practices for site assessment through polynomial surrogates for estimating uncertainty in wind speed Z. Lakdawala et al. https://doi.org/10.1088/1742-6596/2745/1/012016
- Assessing the Impact of Forests on Wind Flow Dynamics and Wind Turbine Energy Production S. Orlova et al. https://doi.org/10.3390/wind6010010
- Wind Field Modeling over Hilly Terrain: A Review of Methods, Challenges, Limitations, and Future Directions W. Wang & F. Chen https://doi.org/10.3390/app151810186
Saved (final revised paper)
Latest update: 08 Jul 2026
Short summary
In this work, a range of simulations are carried out with seven different wind modelling tools at five different complex terrain sites and the results compared to wind speed measurements at validation locations. This is then extended to annual energy production (AEP) estimations (without wake effects), showing that wind profile prediction accuracy does not translate directly or linearly to AEP accuracy. It is therefore vital to consider overall AEP when evaluating simulation accuracies.
In this work, a range of simulations are carried out with seven different wind modelling tools...
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