Wind Energy Science
Wind Energy Science
WES
Articles | Volume 7, issue 6
Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2231-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-2231-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 7, issue 6
Review article
 | 
08 Nov 2022
Review article |  | 08 Nov 2022

Research challenges and needs for the deployment of wind energy in hilly and mountainous regions

Andrew Clifton, Sarah Barber, Alexander Stökl, Helmut Frank, and Timo Karlsson

Data sets

Survey of Correction Techniques for Remote Sensing Devices in Complex Flow A. Black, P. Mazoyer, S. Wylie, M. Debnath, A. Lammers, T. Spalding, and R. Schultz https://doi.org/10.5281/zenodo.4302363

e-WindLidar: making wind lidar data FAIR N. Vasiljevic, T. Klaas, L. Pauscher, J. C. Lopes, D. F. Gomes, R. Abreuand, and L. M. Bardal https://doi.org/10.5281/zenodo.2478051

Model code and software

The Pragmatic Choice of Wind Model in Complex Terrain - Decision Tool Development S. Barber, A. Schubiger, S. Koller, A. Rumpf, and H. Knaus https://doi.org/10.5281/zenodo.4876982

IEA-Task-43/digital_wra_data_standard: 0.1.1-2021.04 S. Holleran, F. Roscheck, J. Fields, G. Kersting, A. Bohara, M. Purdue, and J. Lee https://doi.org/10.5281/zenodo.4710169

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Short summary
The transition to low-carbon sources of energy means that wind turbines will need to be built in hilly or mountainous regions or in places affected by icing. These locations are called complex and are hard to develop. This paper sets out the research and development (R&D) needed to make it easier and cheaper to harness wind energy there. This includes collaborative R&D facilities, improved wind and weather models, frameworks for sharing data, and a clear definition of site complexity.
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