Meso-microscale coupling for wind resource assessment using averaged atmospheric stability conditions

Document identifier: oai:DiVA.org:ltu-75692
Access full text here:10.1127/metz/2019/0937
Keyword: Natural Sciences, Earth and Related Environmental Sciences, Naturvetenskap, Geovetenskap och miljövetenskap, Engineering and Technology, Mechanical Engineering, Aerospace Engineering, Teknik och teknologier, Maskinteknik, Rymd- och flygteknik, Atmosfärsvetenskap, Atmospheric science
Publication year: 2019
Relevant Sustainable Development Goals (SDGs):
SDG 13 Climate actionSDG 7 Affordable and clean energySDG 9 Industry, innovation and infrastructure
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

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.

Authors

Pablo Durán

Norwegian University of Life Sciences, Ås, Norway.WindSim AS, Tønsberg, Norway
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Cathérine Meißner

WindSim AS, Tønsberg, Norway
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Kendall Rutledge

Novia University of Applied Sciences, Vasa, Finland
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Ricardo Fonseca

Luleå tekniska universitet; Rymdteknik
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Javier Martin-Torres

Luleå tekniska universitet; Rymdteknik; Instituto Andaluz de Ciencias de la Tierra (CSIC-UGR), Granada, Spain
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Muyiwa S. Adaramola

Norwegian University of Life Sciences, Ås, Norway
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