Planning offshore wind Operation and Maintenance (O&M) is challenging because it is difficult to predict the weather accurately enough to judge if the sea conditions will allow the Crew Transfer Vessels (CTVs) to sail and deliver the technicians to the turbine. By applying psychological and physiological methods, the well-being of technicians as they transit in different sea conditions will be assessed. In parallel the motions of the vessel and the underlying sea states will be measured. These data will be combined to create a model, and then a tool, that will support the authority that makes the decision to 1) launch, 2) not launch, or 3) to launch but only with certain control measures.
This project will widen the weather window for Crew Transfer Vessels (CTVs) use and improve the productivity of technicians performing service activities. Digital technologies will be combined with psychological analysis in a novel way to enable rapid deployment of the solution at low cost. As a result turbine availability will increase (0.4%) and O&M costs decrease (-2.0%) with an estimated 0.7% decrease in the levelised cost of electricity (LCOE).
- ECN part of TNO
- Maritime research institute Netherlands
- SMC Ltd
- Siemens Open Innovation
- University of Hull