Numerical simulation for optimising of inlet and outlet positions for mechanical ventilation and heat dissipation: A case study to improve ventilation in an indoor 110kV substation
Journal article
Zhang, H., Wang, L., Yang, P., Liu, Y., Zhu, C., Wang, L. and Zhong, H. (2024). Numerical simulation for optimising of inlet and outlet positions for mechanical ventilation and heat dissipation: A case study to improve ventilation in an indoor 110kV substation. Thermal Science. https://doi.org/10.2298/tsci240206119z
| Authors | Zhang, H., Wang, L., Yang, P., Liu, Y., Zhu, C., Wang, L. and Zhong, H. |
|---|---|
| Abstract | Efficient ventilation and heat dissipation in indoor substations are crucial for the stable operation of transformers. This study investigates the impact of inlet and outlet positions on ventilation and heat dissipation performance in a 110kV indoor substation using computational fluid dynamics. A model of the 110kV main transformer chamber is developed. Twelve combinations of inlet and outlet positions are analysed. Inlet positions include side walls parallel to radiators, side walls perpendicular to radiators and both side walls perpendicular to radiators. Outlet positions include the top of the chamber, the side of the inlet, adjacent to the inlet, and opposite inlet. Results demonstrate that locating outlets at the top of the chamber reduces transformer temperature by 0.5-1.6?C and increases energy utilization by8.6%-24.8% regardless of inlet position. Two opposite inlets perpendicular to radiators allows even air distribution between radiators. And this configuration reduces transformer temperature by 3.4?C when the outlet is located at the top of the chamber. Overall, the optimal ventilation design involves top chamber outlets and inlets on opposite walls perpendicular to radiators. |
| Keywords | Indoor substation ventilation; Inlet and outlet positions; Computational fluid dynamics; Heat dissipation; Transformer cooling |
| Year | 2024 |
| Journal | Thermal Science |
| Publisher | VINČA Institute of Nuclear Sciences |
| ISSN | 0354-9836 |
| 2334-7163 | |
| Digital Object Identifier (DOI) | https://doi.org/10.2298/tsci240206119z |
| Publication dates | |
| Online | 18 May 2024 |
| Publication process dates | |
| Accepted | 25 Mar 2024 |
| Deposited | 01 Aug 2024 |
| Accepted author manuscript | License File Access Level Open |
| Page range | 119-119 |
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