Articles | Volume 7, issue 6
https://doi.org/10.5194/wes-7-2255-2022
https://doi.org/10.5194/wes-7-2255-2022
Research article
 | 
22 Nov 2022
Research article |  | 22 Nov 2022

Evaluating the mesoscale spatio-temporal variability in simulated wind speed time series over northern Europe

Graziela Luzia, Andrea N. Hahmann, and Matti Juhani Koivisto

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Cited articles

Badger, J., Hahmann, A., Larsén, X., Badger, M., Kelly, M., Olsen, B., and Mortensen, N.: The Global Wind Atlas: An EUDP project carried out by DTU Wind Energy, Tech. rep., DTU Wind Energy, https://orbit.dtu.dk/files/238494910/GWA_64011_0347_FinalReport.pdf (last access: 15 December 2021), 2015. a
Brown, T., Schlachtberger, D., Kies, A., Schramm, S., and Greiner, M.: Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system, Energy, 160, 720–739, https://doi.org/10.1016/j.energy.2018.06.222, 2018. a
Cannon, D., Brayshaw, D., Methven, J., Coker, P., and Lenaghan, D.: Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain, Renew. Energy, 75, 767–778, https://doi.org/10.1016/j.renene.2014.10.024, 2015. a
CESAR Database: Cabauw Experimental Site for Atmospheric Research, https://ruisdael-observatory.nl/cesar/, last access: 15 December 2020. a, b
Das, K., Litong-Palima, M., Maule, P., Altin, M., Hansen, A. D., Sørensen, P. E., and Abildgaard, H.: Adequacy of frequency reserves for high wind power generation, IET Renew. Power Generat., 11, 1286–1294, https://doi.org/10.1049/iet-rpg.2016.0501, 2017. a
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This paper presents a comprehensive validation of time series produced by a mesoscale numerical weather model, a global reanalysis, and a wind atlas against observations by using a set of metrics that we present as requirements for wind energy integration studies. We perform a sensitivity analysis on the numerical weather model in multiple configurations, such as related to model grid spacing and nesting arrangements, to define the model setup that outperforms in various time series aspects.
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