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Meso-microscale coupling for wind resource assessment using averaged atmospheric stability conditions
Norwegian University of Life Sciences, Ås, Norway.WindSim AS, Tønsberg, Norway.
WindSim AS, Tønsberg, Norway.
Novia University of Applied Sciences, Vasa, Finland.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.ORCID iD: 0000-0002-8562-7368
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2019 (English)In: Meteorologische Zeitschrift, ISSN 0941-2948, E-ISSN 1610-1227, Vol. 28, no 4, p. 273-291Article in journal (Refereed) Published
Abstract [en]

A methodology to couple Numerical Weather Prediction (NWP) models with steady-state Computational Fluid Dynamic (CFD) models for wind resource assessment applications is proposed. NWP simulations are averaged according to their atmospheric stability and wind direction. The averaged NWP simulations are used to generate the initial and boundary conditions of the CFD model. The method is applied using one year of Weather Research and Forecasting (WRF) simulations at the Honkajoki wind farm in Finland and validated by Sonic Detection and Ranging (SODAR) measurements at the site. It is shown that coupled simulations reproduce a more realistic shear for heights above 150 m. In terms of estimated energy production, there is not a big difference between coupled and standalone models. Nevertheless, a considerable difference in the horizontal wind speed patterns can be seen between the coupled and non-coupled approaches. The WRF model resolution has only a small influence on the coupled CFD results.

Place, publisher, year, edition, pages
Schweizerbart science publishers , 2019. Vol. 28, no 4, p. 273-291
National Category
Earth and Related Environmental Sciences Aerospace Engineering
Research subject
Atmospheric science
Identifiers
URN: urn:nbn:se:ltu:diva-75692DOI: 10.1127/metz/2019/0937ISI: 000501529600001Scopus ID: 2-s2.0-85076370208OAI: oai:DiVA.org:ltu-75692DiVA, id: diva2:1345596
Note

Validerad;2019;Nivå 2;2019-12-09 (johcin)

Available from: 2019-08-26 Created: 2019-08-26 Last updated: 2025-01-31Bibliographically approved

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Fonseca, RicardoMartin-Torres, Javier

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