DURATION
Start: 01-07-2015
End: 31-12-2018
PARTNERS & Funding
Independent eXperts (IX), Joulz Energy Solutions
This project is funded by TKI Wind op Zee (via RVO)
PROJECT WEBSITE
www.topsectorenergie.nl/tki-wind-op-zee/rd-projecten /wind-turbine-maintenance-operation-decision-support-wimos
STAFF
Richard Loendersloot, Tiedo Tinga, Damian Rommel
DESCRIPTION
In this project a decision support tool for maintenance of offshore wind turbines is developed, that better accounts for uncertainties than existing tools. The tool will be based on predictive models based on physical failure mechanisms for both mechanical and electrical subsystems and components. By combining these models with measurement data on specific operational and environmental conditions of a complete wind farm, an advanced modelling and simulation environment for operation and maintenance is obtained.
The concept for Predictive Maintenance based on physical models is demonstrated in the figure below, using a misalignment in a drive train as case study.
