Using digital twin for cost-efficient wind turbines
To achieve sustainable societies with renewable energies, their lifecycle costs are one of the biggest concerns. A previous article by my colleagues and I presented a digital twin for wind turbine monitoring to reduce the cost of wind energy. In this blog, I’d like to show how we are applying the digital twin to a real wind turbine of the Fukushima Floating Offshore Wind Farm Demonstration Project [1] and explain how monitoring results can be used for lifetime extension and condition-based maintenance (CBM).
