Measurement of Infrasound Components Contained in the Noise Emitted during a Working Wind Turbine

Tomasz Boczar, Dariusz Zmarzły, Michał Kozioł, Łukasz Nagi, Daria Wotzka and Zbigniew Nadolny
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Tomasz Boczar: Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland
Dariusz Zmarzły: Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland
Michał Kozioł: Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland
Łukasz Nagi: Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland
Daria Wotzka: Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, 45-758 Opole, Poland
Zbigniew Nadolny: Institute of Electrical Power Engineering, Poznan University of Technology, 60-965 Poznań, Poland

Energies, 2022, vol. 15, issue 2, 1-18

Abstract: The research reported in this paper involves the development and refinement of methods applicable to the measurement and analysis of infrasound signals generated by the operation of wind turbines. In particular, the presentation focuses on the use of a new system that is applied for simultaneous recording of acoustic signals in the low-frequency range emitted by wind farms in three independent and identical measurement setups. A comparative analysis of the proposed new system was made with the Brüel & Kjaer measurement, a commonly used methodology, which meets the requirements of the IEC 61400-11 standard. The paper focuses on the results of frequency and time-frequency analysis of infrasound signals recorded throughout the operation of a wind turbine with a rated capacity of 2 MW. The use of a correlated system with three simultaneous measurement systems can be a new and alternative measurement method that will eliminate the drawbacks of previous approaches.

Keywords: infrasound measuring system; wind turbine; low-level frequency; data analysis; frequency component estimation (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: 2022
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