Gaussian FLOWERS: Wind-rose-based analytical integration of Gaussian wake model for extremely fast AEP estimation
(2025)
Journal Article
Whittaker, C., LoCascio, M. J., Martínez-Tossas, L. A., Bay, C. J., & Bastankhah, M. (2025). Gaussian FLOWERS: Wind-rose-based analytical integration of Gaussian wake model for extremely fast AEP estimation. Journal of Renewable and Sustainable Energy, 17, Article 013306. https://doi.org/10.1063/5.0245886
A major cost in the study of wind farm layout optimization is the repeated evaluation of the annual energy production (AEP). The current approach to estimating AEP requires a large set of flow simulations to be performed that cover each discrete wind... Read More about Gaussian FLOWERS: Wind-rose-based analytical integration of Gaussian wake model for extremely fast AEP estimation.