Control of Large Wind Energy Converters for Aeroacoustic Noise Mitigation with Minimal Power Reduction

Andrea Rivarola and Adrian Gambier ()
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Andrea Rivarola: National Technological University, Mendoza. Cnel Rodríguez 273, Mendoza 5500, Argentina
Adrian Gambier: Institute for Wind Energy Systems, Leibniz University Hannover, Appelstr. 9A, 30167 Hannover, Germany

Energies, 2024, vol. 17, issue 22, 1-22

Abstract: The population is often opposed to wind turbines being erected near their homes, mainly because the machines are noisy, especially at night. In an effort to establish a compromise between the needs of the people and the fulfilment of energy demands, wind turbines have the ability to switch between day and night operation by reducing the rotation speed during the night, resulting in a loss of generated power. The present study investigates simple models for noise emission, propagation, and prediction, with the objective of proposing a control system configuration that continuously adjusts the rotational speed as much as necessary until it matches sound level regulations while minimising power losses. Thus, several approaches are implemented and tested with a very large reference wind turbine. The simulation results of a reference wind turbine show that the approaches provide significant improvements in sound reduction as well as in power conversion.

Keywords: wind turbine control; acoustic noise; noise mitigation; active sound damping control; pitch control; torque control; 20 MW reference wind turbine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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