Research on Energy Consumption and Temperature Field Optimization of Data Centers Based on WMA Algorithm

To enhance data center efficiency and temperature uniformity, this study proposes a multi-objective optimization strategy for air-cooled DX systems. An air conditioning model is built using measured data, and Airpak simulations analyze fan speed effects on temperature distribution. An optimization model minimizes energy consumption and maximizes temperature uniformity, constrained by system operation and cooling load. The WMA algorithm optimizes compressor and fan speeds, and experiments confirm its superior energy savings and uniformity over traditional methods, achieving coordinated efficiency and thermal optimization.