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.
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.
the Creative Commons Attribution 4.0 License.
Review article
| 
08 Nov 2022
Review article |
| 08 Nov 2022
| 08 Nov 2022
Research challenges and needs for the deployment of wind energy in hilly and mountainous regions
Andrew Clifton
CORRESPONDING AUTHOR
Stuttgart Wind Energy, University of Stuttgart, Stuttgart, Germany
now at: TGU enviConnect, TTI GmbH, Stuttgart, Germany
Sarah Barber
Institute for Energy Technology, Eastern Switzerland University of Applied Sciences, Oberseestrasse 10, 8640 Rapperswil, Switzerland
Alexander Stökl
Energiewerkstatt e.V., Heiligenstatt 24, 5211 Friedburg, Austria
Helmut Frank
FE13, Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Timo Karlsson
VTT Technical Research Centre of Finland Ltd., Tekniikantie 21, P.O. Box 1000, 02044 VTT, Espoo, Finland
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Paul Veers, Katherine Dykes, Sukanta Basu, Alessandro Bianchini, Andrew Clifton, Peter Green, Hannele Holttinen, Lena Kitzing, Branko Kosovic, Julie K. Lundquist, Johan Meyers, Mark O'Malley, William J. Shaw, and Bethany Straw
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Vasilis Pettas, Matthias Kretschmer, Andrew Clifton, and Po Wen Cheng
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Jia Yi Jin, Timo Karlsson, and Muhammad S. Virk
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In this manuscript, a numerical case study has been presented regarding ice detection and wind resource assessment in ice prone cold regions. Three years SCADA data from a wind park in Arctic region is used for this study. T19IceLossMethod based statistical analysis and Computational Fluid Dynamics (CFD) based numerical simulations are carried out for icing events classification and wind resource assessment, as well as estimation of resultant Annual Energy Production (AEP).
Alain Schubiger, Sarah Barber, and Henrik Nordborg
Wind Energ. Sci., 5, 1507–1519, https://doi.org/10.5194/wes-5-1507-2020, https://doi.org/10.5194/wes-5-1507-2020, 2020
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A large-eddy simulation using the lattice Boltzmann method (LBM) Palabos framework was implemented to calculate the wind field over the complex terrain of Bolund Hill. The results were compared to Reynolds-averaged Navier–Stokes and detached-eddy simulation (DES) using Ansys Fluent and field measurements. A comparison of the three methods' computational costs has shown that the LBM, even though not yet fully optimised, can perform 5 times faster than DES and lead to reasonably accurate results.
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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
complexand 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.
The transition to low-carbon sources of energy means that wind turbines will need to be built in...
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