Given the increasing proportion of renewable energy in the power system, there is an urgent need to explore the demand response potential of building air conditioning systems. Establishing a refined model of air conditioning load is of great significance for reflecting the characteristics of air conditioning load, assessing, and predicting the flexible adjustment potential of air conditioning load.First, classifying according to room type, room location, and indoor thermal gain activities, and combined with two types of air conditioning equipment, a refined air conditioning load simulation model library at the room level has been established, including 144 types of rooms.Then, based on the EnergyPlus platform, a batch simulation is carried out using the strategy of global temperature adjustment, generating an air conditioning load demand response dataset consisting of 1 070 000 days, 30 conditions and over 1 800 000 hours of demand response. The simulation results show that the refined air conditioning load model at the room level can effectively distinguish different rooms, and reception halls, general hotel rooms, high-end hotel rooms, gyms, and canteens have higher demand response potential, and hotel-type buildings have a larger proportion of such rooms, thus often having greater potential. The refined air conditioning load model library can quickly understand the demand response potential of large-scale air conditioning load in advance, providing insightful guidance for formulating demand response policies and systems.