Wakes have been observed extending 65 kilometres and are said to increasingly impact the performance of neighbouring farms, reducing the efficiency of the turbines in producing energy and causing conflicts between wind farm operators.
The POUNDS project aims to explore the impact of offshore wind farms on each other’s energy production and revenue, as well as to identify the best locations for future offshore wind farms to minimise these losses and support the UK’s renewable energy targets.
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It also focuses on validating modelled performance data against operational data and improving the accuracy of wind farm energy production forecasts.
As for its methodology, POUNDS will use mesoscale models, which are a type of advanced numerical weather forecasting model, to model the performance of wind farms spanning the UK waters at a resolution of one kilometre.
It will assess both the offshore wind farms operational in 2023 and the thousands more turbines that are planned by 2030.
The analysis will evaluate the accuracy of the model relative to real-world data and quantify the effects of inter-farm wakes on predicted energy yield. It will also capture wind farm wakes and wind farm performance in comparison to energy export grid data.
By modelling the interactions between wind farms more precisely, the team hopes to provide better guidance for developers and policymakers, reduce investment risks, and resolve conflicts between wind farm operators.
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17 days ago
about 1 year ago
The University of Manchester has been awarded funding to lead a twelve-month research project to improve the understanding of the energy yield from offshore wind in the UK. The Prediction Of UnqualifieD losseS from offshore wind farm wakes (POUNDS) project aims to provide a national-scale assessment
