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While there exists a wide knowledge on either the short-term variability or the climatological conditions (atlas) of wind and its corresponding wind power output, the study of the mid to long-term variations at a given location is still in its early stages. However, significant variations in the multidecadal variability timescales can substantially modify the performance of a wind power plant between the first layout and the end of its lifetime or eventual repowering. In this context, this manual presents a novel methodology to obtain wind and wind power centennial series with daily resolution for a specific site, contributing to enhance the knowledge on its long-term wind variability and its wind power output performance. To achieve this commitment, different tools for the statistical downscaling of wind are designed, by employing several Soft-Computing techniques as Greedy and Evolutionary Algorithms. Additionally, this allows local wind regimes to be objectively defined, a key tool to better understand the circulation mechanisms governing surface wind variability. In this manual specific results are presented for a collection of different wind farms in Spain.
A propos de l'auteur
Dr Kirchner-Bossi has specialised in the study of wind variability from diverse perspectives and scales, that provided innovative resources to describe mid and long term wind variability. He graduated at the Complutense University of Madrid, where he carried out his Master's on Meteorology and Climatology.
