The progressive trend towards intelligent, eco-friendly, low-carbon, and sustainable development in contemporary industrial logistics parks has catalyzed a substantial influx of new energy power systems. This integration poses unique challenges, including intermittent and fluctuating load characteristics, due to the operation of high-powered machinery such as belt conveyors. Consequently, traditional distribution transformers often face premature failure, attributed primarily to inadequate overload capacity, thereby compromising grid safety. Evaporative cooling technology, as a countermeasure to these thermal constraints, holds the potential to enhance the heat dissipation capacity, thus mitigating overload issues. This study employs a novel methodological blend of thermal circuit parameter analysis and empirical experimentation to comprehensively investigate the performance attributes of evaporative cooling distribution transformers. This study's innovative approach involves the development of a dynamic piecewise thermal circuit model that encapsulates both the natural convection and nucleate boiling heat transfer stages. This model builds on the intrinsic attributes of the pool boiling curve of a lowboiling-point coolant. Critical aspects under scrutiny include thermal circuit parameters, boiling heat transfer correlations, constraints on critical heat flux density, and characteristics of the evaporative coolant. Following the Rohsenow correlation and model experimentation, a suitable boiling heat transfer correlation for the selected evaporative coolant was formulated. The thermal circuit model was then employed to discern the influence of the load coefficient, ambient temperature, and coolant boiling point on the operational behavior of the evaporative cooling transformer. The analysis revealed that evaporative cooling transformers exhibit a commendable aptitude for handling impact, intermittent, and fluctuating loads, demonstrating substantial overload resistance. Hence, they are favorably poised for extensive application in heavy-load industrial logistics parks, especially those harnessing new energy. These findings provide instrumental insights, potentially propelling advancements in the modern industrial logistics landscape.