Optimization in Chiller System: A Strategy to Solving Time Delay Based on Cooling Demand Prediction

Optimization of the electricity consumption of chiller systems can save more energy for modern factories. However, under the traditional manually operated control mode, chiller systems often waste additional electricity due to time delay. For this issue, a strategy was proposed to reduce the electricity consumption of chiller systems. This strategy uses state-of-the-art time series prediction models to predict cooling demand, aiming to minimize the negative effects of time delay in the system. Finally, the strategy was applied in a real factory environment and compared with the manual control mode. The comparative results demonstrated the effectiveness of this method.