Abstract:
Wind energy is one of the most important directions in the development of renewable energy sources in the Russian Federation. The most important trends in the wind industry are objectives for the design of new wind farms, the tasks of maintenance and monitoring of wind farm design challenges of wind turbines, the development of Russian software, etc. A number of topical basic and applied problems are appeared in connection with the construction of new wind farms on the territory of the Russian Federation. In this paper, one of these tasks is considered: the study of the wind situation in the area of Tiksi village, due to the installation of a new wind farm there. The wind forecast is based on the Advanced Research WRF (Weather Research and Forecasting) mesoscale model using the Global Forecast System data. The presented results are obtained on a series of nested grids with spatial resolution of 1, 3 and 9 km. A method for wind farm study and monitoring of a near the village of Tiksi is proposed, which is based on interpolation the results obtained from WRF-ARW to a smaller scale model within the future use of Simulator fOr Wind Farm Applications (SOWFA) library in OpenFOAM platform.
Keywords:
wind energy, forecasting, modeling of weather conditions, monitoring of wind farms, Tiksi wind farm, WRF-ARW, GFS, SOWFA.
Document Type:
Article
Language: Russian
Citation:
A. V. Ivanov, S. V. Strijhak, M. I. Zakharov, “Modeling weather conditions in the port area and coastal zone of Tiksi bay”, Proceedings of ISP RAS, 31:6 (2019), 163–176
\Bibitem{IvaStrZak19}
\by A.~V.~Ivanov, S.~V.~Strijhak, M.~I.~Zakharov
\paper Modeling weather conditions in the port area and coastal zone of Tiksi bay
\jour Proceedings of ISP RAS
\yr 2019
\vol 31
\issue 6
\pages 163--176
\mathnet{http://mi.mathnet.ru/tisp475}
\crossref{https://doi.org/10.15514/ISPRAS-2019-31(6)-9}
Linking options:
https://www.mathnet.ru/eng/tisp475
https://www.mathnet.ru/eng/tisp/v31/i6/p163
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Sébastien Gadal, Moisei Zakharov, Jūratė Kamičaitytė, Energy of the Russian Arctic, 2022, 441
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T G Elizarova, A V Ivanov, A A Kuleshov, “Mathematical modeling of Russian northern coastal waters in the shallow water approximation”, J. Phys.: Conf. Ser., 1715:1 (2021), 012017