- Issue
- Journal of Siberian Federal University. Engineering & Technologies. 2026 19 (4)
- Authors
- Ignatev, Evgenii V.; Deriugina, Galina V.; Kulik, Vladimir R.; Kornev, Dmitry A.
- Contact information
- Ignatev, Evgenii V.: Moscow Power Engineering Institute (Moscow, Russian Federation); ; Deriugina, Galina V. : Moscow Power Engineering Institute (Moscow, Russian Federation); Kulik, Vladimir R. : Moscow Power Engineering Institute (Moscow, Russian Federation); Kornev, Dmitry A. : Moscow Power Engineering Institute (Moscow, Russian Federation)
- Keywords
- wind turbine; wind power plant; aerodynamic wake; wake effect; thrust coefficient; surface roughness
- Abstract
This paper presents a methodology for the comprehensive assessment of the influence of aerodynamic wake effects on power generation and the economic performance of wind farms. The methodology is based on the application of wake models developed by N. O. Jensen in their practical implementations by I. Katić and G. C. Larsen, taking into account the thrust coefficient, surface roughness, and actual air density. The results include modeling of the surface roughness characteristics that reflect seasonal and meteorological variations at the wind farm site, and the thrust coefficient derived using the authors’ software WTCurves, which has been validated against data from real wind turbines. A sensitivity analysis was performed to evaluate how variations in input parameters affect the calculated aerodynamic losses and the economic performance indicators of the wind farm. It was found that the actual air density and the method of specifying the thrust coefficient exert the greatest influence, while the choice of wake model and surface roughness characteristics have a secondary effect. The obtained results contribute to improving the accuracy of energy yield forecasting and the reliability of investment assessments at the wind farm design stage
- Pages
- 450–466
- EDN
- NEZBQJ
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/158565
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).