Effect of Wind Speed and Air Temperature on Sound Intensity Level of Wind Turbines in Nakhon Si Thammarat

Authors

  • Jinda Kongcharoen Faculty of Science and Industrial Technology Prince of Songkla University, Surat Thani Campus 31 Moo 6, Surat-Nasan Road, Makham Tia, Muang Surat Thani
  • Nutthajit Onmek
  • Nalinee Nasui
  • Onnalin Mancaket

Abstract

A wind turbine was a device converting the wind’s kinetic energy into electrical energy without emitting pollution. The purposes of this research were to investigate the levels of noise generated by wind turbines and their impacts to people living in the vicinity of the wind turbines in Nakhon Si Thammarat province. The effects of wind speed, air temperature and the levels of noise were investigated. The noise level was measured by the sound level meter. The wind speed and air temperature were measured anemometer (TSI Incorporated).  In addition, the impact assessments of wind turbines on people were investigated using the questionnaire. Statistical analysis used in this study included one-way ANOVA, Pearson’s correlation coefficient and multiple regression analysis. The results showed the average of sound intensity level caused by wind turbines in Type C was higher than Type A. All measurements of sound intensity levels from wind turbines did not exceed the standard limit of the Enhancement and Conservation of National Environmental Quality Act B.E.2540 and NIOSH. Moreover, sound intensity levels did not affect the quality of life in people. Thus, people agreed with the installation of wind turbines for electric generation.  Air temperature was found to be positively associated with the sound intensity level. Furthermore, the moderate level of a significant relationship between wind speed and sound intensity was observed. By using air temperature and wind speed to predict the sound intensity level, the predicted values for Type A and Type C were 45.39.0% and 68.66% respectively. These relationships found in this study might be used to plan the improvement of wind energy in appropriate areas. Keywords:  sound intensity level, wind turbine, wind speed, air temperature, multiple regression

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Published

2019-03-20