Energy consumption modeling and optimization of data center cold source systems based on genetic algorithm

For the cold source system of the data center, this paper adopts a data-mechanism dual-driven method to establish the energy consumption models of the water chillers, water pumps and cooling towers. An energy consumption optimization method for the cold source system of the data center based on the genetic algorithm is proposed, and a refrigeration system of a data center in Chongqing is taken as a research case for analysis. The calculation results show that by using this modeling and optimization method, compared with the operation method adjusted by workers’ experience before optimization, the energy consumption of the cold source system can be reduced by about 8.5% on average.