Optimising the Design and Control of Wind Turbines
In the last decade, wind turbine power generation has experienced remarkable growth. Current design focuses on increasing power by increasing rotor size and nacelle height, especially with off-shore technologies. However, this increase in size leads to more pronounced deformation and shifting in the machines.
The IEC-61400-1 standard requires numerous simulations to validate and certify wind turbines, which implies a high computational cost, especially with increasing geometrical non-linearities. In the case of off-shore simulations, fluid-platform interactions add complexity and make controller design difficult. In this context, the development of small-scale data-driven models and machine learning algorithms is proposed to significantly reduce the computational cost in the machine design simulation cycle and its control system.
Project funded by the "MRR Investigo Programme", an initiative supported by the European Union in the framework of the Next Generation programme, which facilitates the recruitment of research staff.
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Project funded by the "MRR Investigo Programme", an initiative supported by the European Union in the framework of the Next Generation programme, which facilitates the recruitment of research staff.
More projects
