Blade Defect Forecasting

Objective: 

The aim is to develop blade defect forecast tool for seasonal repair prediction based on environment parameters at high temporal and spatial scales for 10-15 years ahead. Key environmental parameter will be used in the forecasting for operational costs in the coming repair season for blades in operation and for site specific design requirement. 

Expected outcome:

A tool that precisely and robustly can predict erosion at turbine blades. The erosion prediction will be based on environmental parameters like rain, wind and lightning. The project is supported by Innovation Fund Denmark, Grand Solutions.

The project began on December 1, 2019 and runs until November 30, 2021

 

Contact

Charlotte Bay Hasager
Professor
DTU Wind Energy
+45 46 77 50 14

FUNDING

THE PROJECT IS FUNDED BY

PARTNERS