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A Reduced Radiator Model for Simplification of ONAN Transformer CFD Simulation.

Authors :
Zhao, Sicheng
Liu, Qiang
Wilkinson, Mark
Wilson, Gordon
Wang, Zhongdong
Source :
IEEE Transactions on Power Delivery. Oct2022, Vol. 37 Issue 5, p4007-4018. 12p.
Publication Year :
2022

Abstract

In this paper, a reduced computational fluid dynamics (CFD) model is proposed for determining the total heat dissipation and the oil temperature distribution of transformer radiators in oil natural air natural (ONAN) cooling mode. In the reduced radiator CFD model, the air flow simulation is replaced with an optimized air heat transfer coefficient (hair) equation. An experimentally verified full radiator CFD model, which includes the air flow simulation, has been introduced as a benchmark model for evaluating the validity of the reduced model. It was found that one ${{\boldsymbol{h}}_{{\boldsymbol{air}}}}$ can provide sufficient accuracy in simulating the air convection effect of transformer radiators. An ${{\boldsymbol{h}}_{{\boldsymbol{air}}}}$ equation was derived through a parametric study using the full radiator CFD model. The performance of the proposed ${{\boldsymbol{h}}_{{\boldsymbol{air}}}}$ equation was compared with the existing empirical equations, and its validities for different insulating liquids and different ambient temperatures were proven by additional CFD modelling. This ${{\boldsymbol{h}}_{{\boldsymbol{air}}}}$ equation can be transformed into a dimensionless form to help the radiator design and facilitate the complete-cooling-loop (CCL) based transformer CFD modelling. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858977
Volume :
37
Issue :
5
Database :
Academic Search Index
Journal :
IEEE Transactions on Power Delivery
Publication Type :
Academic Journal
Accession number :
160691594
Full Text :
https://doi.org/10.1109/TPWRD.2022.3142889