Implementation of spectrum analysis in mesoscale modeling for wind energy assessment studies

C. Stathopoulos, N. Barranger, Xiaoli Guo Larsén, J.S. Rodringo

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review


Spectral analysis of wind speed is a key parameter for the characterization of the physical processes generating the fields. Especially, the mesoscale power spectrum is an important measure of accuracy of wind forecasting and extreme wind estimation for modern wind farms, which are of the size of tens of kilometers. In complex terrain, the wind power spectrum has shown a -5/3 slope in the mesoscale range, similar to that over flat terrain. However the amplitude of power spectrum in complex terrain is higher than that over flat terrain. In this study we propose to evaluate mesoscale model response to this deviation at different scales. Using simulation of the Iberian Peninsula and data experiments, we first identify the difference in wind kinetic energy spectrum between a hilly region in Spain and an offshore domain nearby the Portuguese coast. A powerful tool to determine the interaction between complex terrain and the wind variability is the use of 2D Fast Fourier transform applied to terrain height. From previous studies this analysis proved to be efficient in finding the proper model grid resolution for the representation of the wind variability in highly non homogeneous terrain. This technique is initially applied to mesocale circulation within the Navarra region and at a second stage at higher resolution in an area encompassing CENER’s test Site in Alaiz mountain.
Original languageEnglish
Title of host publicationEMS Annual Meeting Abstracts
Number of pages1
Publication date2012
Publication statusPublished - 2012
Event12th EMS Annual Meeting and 9th European Conference on Applied Climatology (ECAC) - Łódź, Poland
Duration: 9 Sep 201214 Sep 2012


Conference12th EMS Annual Meeting and 9th European Conference on Applied Climatology (ECAC)

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