Research on noise prediction and management measures of 500kV substation based on SoundPlan

Hao Pei, Dayong Wang, Kaiyuan Shi, Yuping Wang, Ruofei Duan, Jiakai Chen and Haiyang Yu

PLOS ONE, 2026, vol. 21, issue 5, 1-15

Abstract: The noise prediction based on SoundPlan numerical simulation software is carried out for the noise of the CBD substation of the State Grid, and a comprehensive management program is designed with the prediction results. The simulation results show that for the noisy transformer, the noise can be reduced by 6–15 dB(A) through the reasonable setting of the building layout and the use of sound barriers, and the sound attenuators can be reduced by around 10 dB(A), furthermore, improving the enclosure walls can get a significant noise reduction up to 30 dB(A). And the safe emission of noise can be realized finally. The results of this simulation can provide reference for relevant engineering designers, that is, the noise of high-voltage substations in noise-sensitive areas can be simulated in advance, and comprehensive measures can be adopted to achieve noise control.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0344581 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 44581&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0344581

DOI: 10.1371/journal.pone.0344581

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().