Energy-saving optimization of precision air conditioning system in data center based on E-WOA algorithm

In China, with the rapid development of information technology, the number of data centers is constantly increasing. Massive data transmission and storage, as well as inefficient precision air conditioning systems, result in significant power consumption in data centers. This article takes data centers as the research object and establishes a model for the energy consumption of various equipment in air conditioning systems based on the working principle of air conditioning. Under the condition of meeting indoor cooling load requirements, taking the total energy consumption of the air conditioner as the objective function and the supply air temperature, chilled water supply temperature, and chilled water return temperature as decision variables, the total energy consumption of precision air conditioning is minimized. The enhanced whale optimization algorithm is used to obtain the optimal solution of parameters that meet the objective function and constraint conditions and optimize the parameters of the precision air conditioning system. The total energy cost of the optimized precision air conditioner has decreased significantly, hourly energy saving is 9.2%, effectively reducing the PUE of the data center.