Decision support for installation of offshore wind turbines (DECOFF)

The objective of the project is to integrate probabilistic weather forecast models and advanced equipment response models, and accordingly establish probabilistic based decision support as best practice for installation of offshore wind turbines.

Decision support for installation of offshore wind turbines (DECOFF)

This is a KPN-project (Knowledge building project for the industry) supported by Norwegian Research Council and Statoil. The project partners are CMR, met.no, Uni Research, Aalborg University, Marintek, UiB and Statoil. The aim of the project is to reduce the cost of installing offshore wind turbines, where waiting for weather windows is a significant cost contributor.

The state of the art method is to base the decisions on forecasted weather parameters like significant wave height. Uncertainties of the forecasts are taken into account through a scaling of the decision criteria (the alpha-factor method).

By instead basing the decisions on the expected equipment response to probabilistic weather conditions (through the Marintek developed simulator SIMO) we get decision criteria that

  • Are less conservative and more objective
  • Includes the estimated probability of failing the installation operation
  • Gives a clearer view of the potential risks of carrying out an operation in a given timeframe

CMR’s role in the project is project management and to integrate the derived results (weather forecasting, equipment response models, and statistical modelling) into a prototype decision support system.

 

Details

  • Period

    2013-2015

  • Client

    The Research Council of Norway, Statoil

  • Country

    Norge