Offshore wind is one of the fastest-growing renewable energy sources in Europe. Accurate knowledge of the wind field and surrounding wind farms in addition to atmospheric stability is important for wind farms to operate effectively.
NORCE draws on decades of expertise within offshore wind through the merged research institutes.
Our researchers have long and a high level of experience in atmospheric turbulence simulation for dynamic turbine load calculations, in CFD wind modelling as well as in mesoscale wind farm modelling within the Weather Research and Forecast (WRF) model. Previously, NORCE has contributed to the WRF open source code with an offshore wind module. NORCE also provides expertise in applied machine learning, e.g. for nowcasting of the wind field around an offshore wind farm, and has competence in interactive data visualization and uncertainty and sensitivity analysis. We also offer weather window and operational analyses.
NORCE was the host institution for the Norwegian Centre for Offshore Wind Energy (NORCOWE), which was one of two Centers for Environment-friendly Energy Research (FME) in Norway between 2009 - 2017. NORCOWE pioneered the design of a freely available reference wind farm for optimizing turbine operations and supported national infrastructures like the Norwegian Motion Laboratory, the Offshore Boundary-Layer Observatory, and a mobile motion lab. NORCOWE continuous as a research network.
Through the participation in NORCOWE, NORCE researchers have gained a high level of experience in planning and the execution of both nationally and internationally offshore and onshore wind measurement campaigns, including remote sensing of winds using lidar. We offer our expertise in planning and execution of wind measurement campaigns, data quality assessment, data handling, and archiving as well as the scientific analysis of measurement data.
We arrange regular meeting places for industry and academia through the Science Meets Industry conferences. We are also a member of EERA JP Wind.