Verification of the Digital Twin of the Atmospheric Boundary Layer in the Area of the Wind Farm Based on Telemetry Data and Meteorological Measurements

Authors: Andrei V. Chukalin, Vladislav N. Kovalnogov, Ruslan V. Fedorov, Yury E. Chamchiyan, Maria I. Kornilova

DOI: https://doi.org/10.37082/IJIRMPS.ICTIMESH-23.13

Short DOI: https://doi.org/mgdy

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Abstract: The rapid development of wind energy, like any other alternative energy industry, is primarily aimed at reducing the carbon footprint. In recent years, the total capacity of wind power systems has increased dramatically. Thanks to improvements in wind energy technologies, wind farms can operate all year round in a wide temperature range, becoming more and more available as an alternative source of energy. To date, the actual problem of the practical use of wind energy is the study of complex turbulent flows in the wind farm area. In this paper, a numerical study of the turbulent wake of a single wind turbine was carried out in Simcenter STAR-CCM+ CFD software. The features of a turbulent wake are considered, for further study the mutual influence of wind turbines on each other. The LES-method (Large Eddy simulation) was used for the numerical study and modeling. The paper presents an approach for studying and verifying a digital twin of the atmospheric boundary layer in the region of a single wind turbine using telemetry data and meteorological measurements. The actuator-disk model (ADM) was used as a tool for modeling, the one-dimensional impulse method (1D - Momentum) was implemented, specially designed for modeling wind turbines.

Keywords: Atmospheric Boundary Layer, Mathematical Modeling, Wind Farm, Wind Turbine, Telemetry, Meteorological Data, 1D-Momentum, CFD

Paper Id: 3.113

Published On: 2024-01-23

Published In: Special Issue - International Conference on Trends & Innovations in Management, Engineering, Sciences and Humanities (January 2024)

Cite This: Verification of the Digital Twin of the Atmospheric Boundary Layer in the Area of the Wind Farm Based on Telemetry Data and Meteorological Measurements - Andrei V. Chukalin, Vladislav N. Kovalnogov, Ruslan V. Fedorov, Yury E. Chamchiyan, Maria I. Kornilova - IJIRMPS Special Issue - International Conference on Trends & Innovations in Management, Engineering, Sciences and Humanities (January 2024). DOI 10.37082/IJIRMPS.ICTIMESH-23.13

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