Victoria M. Shchukina, Nikita I. Shchukin

National research Irkutsk state technical university, Melentiev energy systems institute SB RAS

The relevance of building digital twins in the field of wind power plants (WPP) is due to the rapid development of technologies and the need to improve the efficiency of energy systems operation. Digital twins allow creating virtual models of real objects, which opens new horizons for process optimization, condition monitoring and prediction of plant operation. In the conditions of global transition to sustainable energy, the importance of digital modeling increases, as it contributes to more efficient use of resources, cost reduction and increased reliability of energy systems.
The paper discusses the process of forming a digital model of a wind power plant, which is a key element in the development of a digital twin. The paper describes the main approaches and methods used to create an accurate virtual replica of a real wind turbine, including the selection of modeling parameters such as geometric dimensions, materials and mechanical properties, as well as the definition of boundary conditions that allow for the most accurate reproduction of operational features.
Special attention is paid to the comparison of weather conditions, including wind speed time series, which is critical for estimating the utilization factor of the installed capacity of the wind turbine. These weather data allow for accurate modeling of real plant conditions and for adjusting model parameters to changing climatic conditions. The paper also discusses modern technologies and tools used to ensure a high degree of correspondence between the digital model and the physical object, such as data acquisition systems and analysis software. The prospects for the application of digital twins in the wind energy industry are emphasized in the context of optimizing plant performance, predicting power generation and improving overall operational efficiency, which is an important step towards the sustainable development of renewable energy sources.

digital twin, numerical model, wind farms, mathematical modeling