Evaluation method of adjustable capacity of air conditioning load based on user comfort

Abstract The air-conditioning load has become a high-quality flexible load resource due to its environmental thermal energy storage characteristics, controllable characteristics, and large load ratio. The evaluation of the adjustable capacity of the air conditioning load is a key technical problem to converting it into actual adjustable resources. Firstly, the air conditioning load is modeled based on the equivalent thermal parameter (ETP) model, and its adjustable capacity mechanism is analyzed. Then, the predicted mean vote (PMV) index is used to quantify the influence of temperature on human comfort. The user’s thermal comfort model and comfort index are constructed. The adjustable capacity evaluation method of air conditioning load with response time and response power as evaluation indexes are proposed. Finally, different evaluation methods are used for comparative analysis. The example shows that the method proposed in this paper is superior, and the adjustable range of air conditioning load power cluster capacity is obtained.