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Simulating wind characteristics through direct optimization procedures: illustration with three Russian sites

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Abstract

Wind energy assessment of a territory where a wind park is planned to be built is important. This can be performed through an appropriate evaluation of the wind characteristics in this territory. To simulate the wind speeds, a Weibull function is recommended whose parameters are classically determined either applying logarithms or using one of the formulas proposed in the literature. In the present study, direct optimization procedures are applied, which consist to minimize the squared difference between the experimental and simulated densities or probabilities. These procedures are applied on the wind characteristics collected from the ERA5 website during 41 years at three Russian sites close to Arkhangelsk. These direct optimization procedures are proved to give lower errors than the classical one or the formulas of the literature. They also lead to lower values of the estimated Annual Energy Production for a Vestas V90-2.0 wind turbine. Direct optimization procedures are also applied to determine the optimal parameters associated with a unique or a superposition of two von Mises distribution functions to simulate the wind directions in these three Russian sites.

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Funding

The authors did not receive support from any organization for the submitted work.

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Authors and Affiliations

  1. Northern (Arctic) Federal University, naberezhnaya Severnoy Dviny 17, Arkhangelsk, Russia, 1632002

    Aleksei Kangash, Pavel Maryandyshev & Alain Brillard

  2. UiT The Arctic University of Norway, Lodve Langes Gate 2, 8515, Narvik, Norway

    Muhammad Shakeel Virk

  3. Laboratoire Gestion des Risques et Environnement, University of Haute-Alsace, 3bis rue Alfred Werner, 68093, Mulhouse, France

    Alain Brillard

Authors
  1. Aleksei Kangash
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  2. Muhammad Shakeel Virk
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  3. Pavel Maryandyshev
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  4. Alain Brillard
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Contributions

Conceptualization: MSV, PM. Methodology: MSV, PM, AB. Formal analysis and investigation: AK. Writing—original draft preparation: AB. Writing—review and editing: AB. Funding acquisition. Resources. Supervision: MSV, PM, AB.

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Correspondence to Alain Brillard.

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Kangash, A., Virk, M.S., Maryandyshev, P. et al. Simulating wind characteristics through direct optimization procedures: illustration with three Russian sites. Int J Energy Environ Eng 13, 555–571 (2022). https://doi.org/10.1007/s40095-021-00470-5

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  • DOI: https://doi.org/10.1007/s40095-021-00470-5

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