Wind Energy Prediction in Highly Complex Terrain by Computational Fluid Dynamics

With rising levels of wind power penetration in global electricity production, the relevance of wind power prediction is growing. More accurate forecasts reduce the required total amount of energy reserve capacity needed to ensure grid reliability and the risk of penalty for wind farm operators. Thi...

Full description

Bibliographic Details
Main Authors: Daniel Tabas, Jiannong Fang, Fernando Porté-Agel
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/12/7/1311