Experimental research of the AMWG algorithm for assessing amplitude modulation in wind turbine noise

• Autorzy: Czapla Marcjanna , Wszołek Tadeusz

Identyfikatory

DOI

10.21008/j.0860-6897.2022.3.17

• Języki publikacji: EN

Abstrakty

EN

The operation of a wind turbine (WT) is characterized by fluctuations in sound pressure amplitude associated with the passage of the propeller blade through the tower. Amplitude Modulation (AM) is one of the factors that contributes to the increased annoyance of wind turbine noise. The phenomenon of AM is currently the subject of research in many research centers around the world in the context of a parametric assessment of its impact on annoyance. Despite the development of many methods to measure the AM of a WT noise, there is no commonly accepted method. This paper discusses the most crucial factors that stimulate the phenomenon of AM and the implementation in the MATLAB environment of the algorithm to find the frequency and depth of AM proposed by the Amplitude Modulation Working Group (AMWG). The results of verification of the developed algorithm as well as the measurement results of the frequency and depth of modulation for two measurement samples of a 2 MW wind turbine are presented.

Słowa kluczowe

EN

wind turbine noise; amplitude modulation; modulation depth; modulation frequency

PL

hałas turbin wiatrowych; modulacja amplitudy; głębokość modulacji; częstotliwość modulacji

• Wydawca: Poznan University of Technology. Institute of Applied Mechanics
• Czasopismo: Vibrations in Physical Systems
• Rocznik: 2022
• Tom: Vol. 33, nr 3
• Strony: art. no. 2022317
• Opis fizyczny: Bibliogr. 12 poz., wykr.

Twórcy

autor

Czapla Marcjanna

• AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, Al. Mickiewicza 30, 30-059 Kraków, Poland

• https://orcid.org/0000-0003-2914-7666

autor

Wszołek Tadeusz

• AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, Al. Mickiewicza 30, 30-059 Kraków, Poland

• https://orcid.org/0000-0001-5057-3227

Bibliografia

• 1. ESTU-R-97 (1996), The Assessment and Rating of Noise Wind Farms, Final Report for the Department of Trade & Industry, The Working Group on Noise form Wind Turbines, September 1996.
• 2. S. Large, D. Stigwood, M. Stigwood; Cotton Farm long-term community noise monitoring 4 years on: testing compliance and AM control methods; INCE Conference Proceedings 2017, Institute of Noise Control Engineering, Hong Kong, China, 27-30.08.2017.
• 3. Institute of Acoustics (IoA), Amplitude Modulation Working Group, A Method for Rating Amplitude Modulation in Wind Turbine Noise, 2016.
• 4. Independent Noise Working Group, (2017), Wind Turbine Amplitude Modulation & Planning Control Study.
• 5. P. Virjonen, V. Hongisto, R. Radun; Annoyance penalty of periodically amplitude-modulated wide-band sound; The Journal of the Acoustical Society of America, 2019, 146(6), 4159-4170.
• 6. R. Makarewicz; Proposed Methodology for the Annoyance Penalty of Amplitude Modulated Wind Turbine Noise, Archives of Acoustics 2022, 47(1), 125-128. doi: 10.24425/aoa.2022.140738.
• 7. I. Antoniou, H.A. Madsen, U.S. Paulsen; A Theoretical and Experimental Investigation of New Tip Shapes; European Community Wind Energy Conference, 8-12 March, 1993.
• 8. T. Wszołek, P. Pawlik, D. Mleczko, J. Chronowska; Analysis of the Usefulness of Measurement on a Board at Ground Level for Assessing the Noise Level from a Wind Turbine; Archives of Acoustics 2020, 45(1), 165-175.
• 9. The Math Works, Inc. (2021), MATLAB (Version 2021a) [Computer Software].
• 10. Svan 959 User Manual for Sound & Vibration Analyzers, Svantek Sp. z o.o. Warsaw, May 2007.
• 11. https://www.mathworks.com/help/audio/ref/splmeter-system-object.html.
• 12. T. Van Renterghem; Wind turbine sound: propagation, infrasound, and perception (18.05.2021) (https://www.youtube.com/watch?v=ufmBs4OKy0U&ab_channel=KatedraAkustykiUAM).

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).