Research on Scheduling of Ice Storage Air Conditioners Based on Dynamic Response and MPC Algorithm

Due to global warming, the electricity cost of users in hot summer in Beijing is soaring, so it is of great significance to popularize ice storage air conditioning technology. The author investigates parameters, including the business area of the shopping mall in Beijing, the power and cost of conventional air conditioning units, and the estimated daily power consumption and electricity tariff of air conditioning units in summer under the TOU electricity tariff policy. Also, she compares the price, power, and efficiency of a specified ice storage system with that of a conventional air conditioner, illustrating the significant reduction in electricity consumption and associated costs. In this paper, in order to solve the scheduling of ice storage air conditioners in lien of conventional air conditioners, a scheduling model of ice storage air conditioners based on dynamic response and model predictive control (MPC) algorithm was built to analyze load data and penalty cost. The benefits to replace conventional air conditioning with ice storage air conditioning in terms of energy storage, energy conservation and cost reduction were calculated, based on power consumption and investment cost.