Self-Storage Characteristics and Peak Shaving Potential of Central Air Conditioning Systems

The central air conditioning system has been of interest for peak load regulation in the power grid due to its high energy consumption and overlapping with the peak load of the power grid. To study and explore the potential of peak load regulation in central air conditioning systems, a self-storage method for central air conditioning systems is proposed. This method achieves storage and release of cold energy by adjusting the chilled water temperature of the user-side pipeline network, transferring peak air conditioning energy consumption, and achieving the goal of peak shaving and valley filling. The central air conditioning system of a certain actual building is used as a research object. A model of the central air conditioning system is developed, and simulations are conducted to study the operating characteristics of the system under different air conditioning load rates and cold storage capacity. The peak shaving potential and operational economy of the building′s self-storage energy are evaluated. The energy efficiency ratio for a cold storage capacity of 100% at an air conditioning load ratio of 40% is 4.2, and 27 min are required. Under an air conditioning load ratio of 100%, cold storage capacity of 100%, and cooling end water temperature of 12 ℃, the peak shaving electricity consumption after 60 min of cooling is 745 kW·h, and the peak shaving ratio is 23.9%. The use of self-storage energy during a typical day during the cooling season with a maximum cooling load of 11 673 kW can reduce the peak electricity consumption of the air conditioning system by 3.9% and peak electricity consumption by 19.8%, resulting in a daily saving of 3.0% in the operating electricity cost of the air conditioning system.