Open AccessIndoor simulation of amplitude modulated wind turbine noise
Author(s) -
Fernandez Felipe A.,
Burdisso Ricardo A.,
Arenas Jorge P.
Publication year - 2017
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.2019
Subject(s) - noise (video) , annoyance , transmission (telecommunications) , acoustics , amplitude modulation , amplitude , environmental science , energy (signal processing) , turbine , frequency modulation , computer science , telecommunications , engineering , mathematics , physics , bandwidth (computing) , statistics , optics , artificial intelligence , aerospace engineering , image (mathematics) , loudness
Wind energy is the world's fastest‐growing renewable energy source; as a result, the number of people exposed to wind farm noise is increasing. Because of its broadband amplitude‐modulated characteristic, wind turbine noise (WTN) is more annoying than noise produced by other common community/industrial sources. As higher frequencies are attenuated by air absorption and building transmission, the noise from modern large wind farms is mainly below 1000 and 500 Hz for outdoor and indoor conditions, respectively. Many WTN complaints relate to indoor, nighttime conditions when background noise levels are lower. As recently reported, indoor noise has the potential to cause sleeping disorders. Studies on human response to amplitude modulated WTN have been mainly focused on the outdoors, where a large amount of measured data exists. This is not the case for indoors, where it is much harder to gather data. Hence, there is a need to understand the transmission of WTN into dwellings and to develop indoor annoyance metrics. In this article, we investigate the transmission of WTN into residential‐type structures. Using an outdoor WTN recording and structures with different properties/configurations, we made a series of computer simulations for indoor noise predictions and assessed the results employing several widely used metrics for WTN, for example, spectral content, modulation depth and overall levels. In general, the indoor noise levels are higher, and the average modulation depth is similar to those of outdoor recordings. In addition, there is a significant change in the spectral shape. These results could potentially explain indoor WTN annoyance. Copyright © 2016 John Wiley & Sons, Ltd.