A fast configuration method for external cooling system of power transformer considering energy loss

Radiator cooling configurations need to account for both efficient heat dissipation and energy conservation requirements. Rapid and rational determination of cooling system configurations constitutes a critical aspect of transformer design, enhancing electrical power energy utilization efficiency. Computational fluid dynamics (CFD) is widely recognized as a well-established technique for simulating and optimizing heat dissipation systems. However, this approach is time-consuming because of pre-processing procedures, such as meshing. This paper proposes a fast iterative optimization model for calculating the outlet oil temperature and airflow distribution. Based on the analytical model results, this paper identifies the optimal energy-saving range for radiator cooling configurations, incorporating the cooperative effects of cooling efficiency, air pressure drop during heat transfer, and inlet–outlet temperature difference. The analytical model demonstrated errors in energy dissipation and temperature difference calculations within an acceptable range. The calculation time was reduced by more than 99%. Radiator configurations within the optimal range effectively minimize energy waste while meeting the target temperature difference and enhancing cooling efficiency. Finally, the PC2600-22/520 radiator was utilized to validate the accuracy of the analytical model and the rationality of the co-optimal intervals.