Energy saving adaptive control algorithm for air conditioning in high heat density computer rooms

When controlling air conditioning, due to the lack of comprehensive analysis of the relationship between energy consumption of different units, the energy consumption loudness of air conditioning is high. Therefore, a study on energy-saving adaptive control algorithm for high heat density computer room air conditioning is proposed. Based on the operational characteristics of air conditioning in high heat density computer rooms, with the objective function of minimizing unit operating power consumption to meet the cooling load demand of the front-end, a high heat density computer room air conditioning energy consumption model was constructed from three perspectives: chillers, chilled water pumps, and cooling water pump pipes. In the control algorithm design stage, the Double Pools based DQN algorithm (DPs DQN) was introduced. Based on the condition of whether optimization of system cooling load allocation is needed, the sample data of high heat density computer room air conditioning operation was divided into two categories: samples that require optimization of system cooling load allocation and samples that do not require optimization of system cooling load allocation, The energy consumption model of the high heat density computer room air conditioning constructed in section 1.1 is used to make action decisions throughout the entire action space, and the result of gradient descent update is the control parameter. In the test results, the designed energy-saving adaptive control algorithm for high heat density computer room air conditioning can effectively reduce energy consumption during the operation phase of the air conditioning system, while achieving stable control of the computer room temperature.