A Review on the Estimation of Power Loss Due to Icing in Wind Turbines

The objective of this article is to review the methodologies used in last 15 years estimate power loss wind turbines due their exposure adverse meteorological conditions. Among methods, use computational fluid dynamics (CFD) for three-dimensional numerical simulation highlighted, as well two-dimensional CFD conjunction with blade element momentum theory (BEM). In addition, a brief other such image analysis, deep learning, and forecasting models also presented. This constitutes baseline new investigations icing effects on turbines’ outputs. Furthermore, it contributes continuous improvement power-loss prediction better response protection systems.