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To start the large-scale deployment of offshore wind in German waters, the German Federal Ministry for the Environment (BMU) supports the offshore test site "alpha ventus" in the North Sea with a research budget of about 50 million Euro in the next years. The overall objective of the research is to reduce the costs of offshore wind energy deployment in deep water. In order to provide all participating research projects with detailed data, the test site will be equipped with extensive measurement instrumentation.
This research initiative was named RAVE Research at Alpha VEntus and consists of a variety of projects in connection with the installation and operation of alpha ventus. As part of the RAVE initiative, so far the participating institutes and companies have prepared projects on the following topics:
Realization of the joint measurements and data management
Analysis of loads, modelling and further development of the different components of offshore wind turbines
Loads at offshore foundations and structures
Further development of LIDAR wind measuring techniques
Grid integration of offshore wind energy
Monitoring of the offshore wind energy deployment in Germany "Offshore WMEP"
Measurement of the operating noises and modelling of the sound propagation between tower and water
Ecologic research
A digital structural integrity management of offshore structures enables an optimized planning of inspections and repairs with risk-based methods. In a risk-based approach, the inspection and repair strategy that minimizes the expected lifetime costs consisting of the expected inspection, repair and failure costs is determined. In addition to inspections, information on the structural condition can be continuously obtained by monitoring the vibration response of the structural system. Changes in the vibration characteristics quantified in terms of modal properties can be an indication of structural damage. In risk-based inspection and repair planning, the effect of monitoring results is determined via Bayesian updating of the structural condition and reliability. This information should be applied to inform decisions on inspections and may result in a reduced inspection effort. The benefit of continuously monitoring the structural health can be quantified in terms of the value of information, which corresponds to the difference between the expected lifetime costs with and without monitoring. In this work, we demonstrate in a numerical example how an optimized sensor placement for a vibration-based structural health monitoring system can be determined by maximizing the value of information.
A digital structural integrity management of offshore structures enables an optimized planning of inspections and repairs with risk-based methods. In a risk-based approach, the inspection and repair strategy that minimizes the expected lifetime costs consisting of the expected inspection, repair and failure costs is determined. In addition to inspections, information on the structural condition can be continuously obtained by monitoring the vibration response of the structural system. Changes in the vibration characteristics quantified in terms of modal properties can be an indication of structural damage. In risk-based inspection and repair planning, the effect of monitoring results is determined via Bayesian updating of the structural condition and reliability. This information should be applied to inform decisions on inspections and may result in a reduced inspection effort. The benefit of continuously monitoring the structural health can be quantified in terms of the value of information, which corresponds to the difference between the expected lifetime costs with and without monitoring. In this work, we demonstrate in a numerical example how an optimized sensor placement for a vibration-based structural health monitoring system can be determined by maximizing the value of information.