Numerical simulation and optimisation design for ventilation and heat dissipation in high-temperature and high-load indoor substations

Journal article


Chen, H., Zhang, H., Wu, S., Liu, Y. and Zhong, H. (2024). Numerical simulation and optimisation design for ventilation and heat dissipation in high-temperature and high-load indoor substations. Case Studies in Thermal Engineering. 59, p. 104502. https://doi.org/10.1016/j.csite.2024.104502
AuthorsChen, H., Zhang, H., Wu, S., Liu, Y. and Zhong, H.
Abstract

Under high-temperature and high-load operational conditions, inadequate ventilation and suboptimal cooling arrangements within indoor substations result in high oil temperatures, posing a threat to the secure and steady operation of transformers. In this paper, the ventilation and heat dissipation effect of a 110 kV indoor substation is studied by the computational fluid dynamics method. Initially, the three-dimensional simulation model of the main transformer chamber is constructed to mirror the actual substation structure. Subsequently, the impact of the upper outlet on ventilation and heat dissipation is explored. The results show that the proximity of the upper outlet to the fan on the side wall prompts the fan to draw air from the upper outlet, diminishing the air volume entering the lower intake outlet by 38.8 %. It proves detrimental to the transformer's heat dissipation efficiency. Lastly, with the upper outlet closed, the study delves into the impact of various configurations of intake and exhaust ports on optimizing ventilation and heat dissipation. A total of six cases of two scenarios for the air inlet location and three exhaust vent positions are explored. According to the simulation results, the optimal case of substation ventilation and heat dissipation is obtained by considering four evaluation parameters.

KeywordsIndoor substation; Ventilation and heat dissipation; Energy utilisation coefficient; Air exchange coefficient
Year2024
JournalCase Studies in Thermal Engineering
Journal citation59, p. 104502
PublisherElsevier
ISSN2214-157X
Digital Object Identifier (DOI)https://doi.org/10.1016/j.csite.2024.104502
Web address (URL)https://www.sciencedirect.com/science/article/pii/S2214157X24005331?via%3Dihub
Publication dates
Online14 May 2024
Publication process dates
Accepted07 May 2024
Deposited04 Jun 2024
Publisher's version
License
File Access Level
Open
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https://openresearch.lsbu.ac.uk/item/9756q

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