MATEC Web Conf.
Volume 254, 2019XXIII Polish-Slovak Scientific Conference on Machine Modelling and Simulations (MMS 2018)
|Number of page(s)||9|
|Section||Advanced Industrial, Automotive and Green Energy Applications|
|Published online||15 January 2019|
Assessment of variability of acoustic power generated by traffic volume
Kielce University of Technology, Faculty of Mechatronics and Mechanical Engineering, Aleja Tysiąclecia Państwa Polskiego 7, 25314 Kielce Poland
2 Kielce University of Technology, Faculty of Environmental, Geomatic and Energy Engineering, Aleja Tysiąclecia Państwa Polskiego 7, 25314 Kielce Poland
3 University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
* Corresponding author: firstname.lastname@example.org
The concept of energy harvesting is a mechanism of deriving energy from the sources present in the environment. Using this energy will enable wireless and portable electronic devices to be completely self-sustaining. A variety of sources are available for energy harvesting, including electromagnetic radiation, vibration-, sound -, and windenergy. The output power levels from these sources and the mechanisms involved in energy conversion determine its possible applications. The paper analyses the variability of the acoustic power generated by traffic volume. The equivalent sound level was calculated by permanent automatic sound and traffic volume monitoring stations for three time intervals. The measurements were carried out 24 hours a day. In this study, the authors analysed the acoustic power to be able to compare the fixed and variable components. Standard deviation, coefficient of variation, the positional coefficient of variation, and the quartile deviation were proposed for performing a comparative analysis of the acoustic power scattering. The coefficient of variation is a parameter that satisfactorily describes a variable component of acoustic power. Uncertainties of the acoustic power calculation were compared within the periods under analysis.
Key words: acoustic power of traffic noise / noise measurements / variability
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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