Home >What we do >Projects >NNZA: WindFusion – the fusion of different wind forecasting methods (mesoscale and wake models) to improve wind energy predictions.

NNZA: WindFusion - the fusion of different wind forecasting methods (mesoscale and wake models) to improve wind energy predictions.

Project Lead: Dr Mohammadreza Mohammadi

Institution: Teesside University.

Partners: DNV.

Amount: £ 28k

Scheme: Ideas Translation.

Theme/Area: Low Carbon Energy Generation/Onshore/Offshore Wind and Subsea.

Brief Description: This project aims to integrate mesoscale wind forecasting models with engineering wake models to improve the accuracy of wind farm energy generation estimates during curtailment periods. By doing so, we will enhance the efficiency of hydrogen production from excess wind energy, reduce compensation costs, and improve the utilisation of renewable power.

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