SOURCE-LINKED INTELLIGENCE

Minimisation of the offshore wind and tidal turbine acoustic footprint on marine life

CORDIS · observation · Publication date unknown

silent offshore farms enabling renewable energy with zero acoustic impact. First, I propose to develop a novel aero/hydro-acoustic solver, blending advanced high order numerical techniques through machine learning and trained with experiments, to simulate flow-acoustic signatures for wind and tidal turbines, in realistic offshore environments (including bathymetry, air-water surface, etc.). Second, an experimental campaign will generate aero/hydro-acoustic data for scaled turbines and farms to help elucidate the physics governing offshore acoustics and to guide/validate the flow-acoustic simulator. Third, simulations and experiments will be combined to characterise turbines in complex offshore environments and to develop physic-informed surrogate models. Fourth, using the developed surrogate models and optimisation, Off-coustics will propose new designs of silent farms that minimise the acoustic impact while ensuring energy production. Major advances in multidisciplinary aspects are expected, including fluid mechanics, numerical simulations, optimisation, experimental acoustics,

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recordType

award

status

SIGNED

region

EU

value

1992500

unit

EUR