Optimization strategy of energy saving for air conditioning system in data center
The equipment room of data center has run with high energy consumption,while the air conditioning occupies the highest proportion.The equipment parameters optimization of air conditioning system plays a key role in the system energy saving.The small group control strategy was used for the optimization of air conditioning system in the data center.The optimal control parameters were obtained by comparing the temperature of frozen water supply,inlet air,and supply and return water under different working conditions.The PID controller was improved by the snake optimization algorithm.The energy consumption by the fluctuation of control signal from variable frequency fan,which is induced by the system oscillation,is effectively reduced.
data centerair conditioning systemgroup control strategyenergy saving