Optimization calculation of refrigeration unit operating conditions in big data center based on genetic algorithm

Refrigeration unit is the second largest energy consumption system in big data center. In order to improve the energy consumption of refrigeration unit, we established the mathematical model of energy consumption of refrigerator, cooling tower, water pump and other main equipment. The actual operation data of a big data in Fangshan, Beijing was collected and fitted by least square method. A global optimization model is established to satisfy the operating parameter objectives and the boundary conditions of safe operation and cooling capacity. The simulation results obtained by using genetic algorithm are superior to the actual operation data in energy saving.