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On the Problem of Choosing the Optimal Parameters for the Wind Farm in the Arctic Town of Tiksi

Sergei Strijhak 1 Victor Gergel 2 Aleksandr Ivanov 3 Sébastien Gadal 4, 5, 6
1 Ivannikov Institute for System Programming of the RAS
2 MAI - Moscow Aviation Institute
3 Lobachevsky State University of Nizhny Novgorod
4 North-Eastern Federal University
5 ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace
6 AMU - Aix Marseille Université
Abstract : The paper considers the problem of choosing the optimal parameters for the operation of 3 horizontal wind turbines of the wind farm in the town Tiksi, in the Sakha Republic. The open-source WRF-ARW and FLORIS packages are used to calculate the physical parameters in the wind farm. During the calculation, the values of wind velocity, temperature, pressure fields, and the value of the generated power of wind power plants were obtained. The optimization problem is formulated, the objective function is defined, and 2 variable parameters are selected, namely, yaw angle and angle of attack. The calculations were carried out on the computing cluster of ISP RAS.
Keywords : Wind turbine Wind farm Calculation Domain Grid Wind velocity Objective function Wind turbine parameters Yaw angle Power Remote Sensing Spatial location modeling Tiksi Arctic Russia Wind turbine
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https://hal-amu.archives-ouvertes.fr/hal-03274909
Contributor : Sébastien Gadal <>
Submitted on : Thursday, July 1, 2021 - 2:30:08 PM
Last modification on : Thursday, July 22, 2021 - 2:58:02 PM

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Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

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UNIV-AMU | UNIV-AVIGNON | TDS-MACS | ESPACE | UNICE | UNIV-COTEDAZUR | CNRS | ESPACE_AIX-EN-PROVENCE

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Sergei Strijhak, Victor Gergel, Aleksandr Ivanov, Sébastien Gadal. On the Problem of Choosing the Optimal Parameters for the Wind Farm in the Arctic Town of Tiksi. Balandin D., Barkalov K., Gergel V., Meyerov I. Mathematical Modeling and Supercomputer Technologies, Springer, pp.361-375, 2021, 978-3-030-78758-5. ⟨10.1007/978-3-030-78759-2_30⟩. ⟨hal-03274909⟩

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