Performance optimization of communication base station refrigeration systems based on fuzzy systems: a case study in cold regions

The energy consumption of communication base stations has been increasing, while energy conservation has become a focal point, especially for the air conditioning systems of these stations, which consume a significant amount of energy. In cold regions, the optimization of refrigeration systems for communication base stations is a crucial task. However, due to the complexity of environmental conditions and seasonal variations, traditional control methods often struggle to achieve optimal results. This study aims to improve the performance of communication base station refrigeration systems using fuzzy systems. A distributed cooling system, utilizing an object-oriented cooling concept, is proposed as a novel solution that can directly provide cooling to communication equipment. Compared to conventional methods, distributed cooling based on fuzzy systems optimizes the thermal field distribution within the base station, adjusting the operating parameters of the refrigeration system to achieve higher energy efficiency and performance optimization. Experimental results show that, under certain conditions, the optimal refrigerant charge rate of the system can be determined through experimentation. In field tests, the separated heat pipe system significantly improved temperature variations within the base station. Analysis of experimental data reveals varying levels of energy savings in different regions, but overall energy savings are still significant. The results indicate that control strategies based on fuzzy systems can significantly enhance the performance of communication base station refrigeration systems, holding significant application prospects in cold regions.