Abstract: The dual-high and dual-random characteristics of the new power system, combined with the increasingly prominent peak load demand for electricity, have presented significant challenges to the real-time supply-demand balance, safe and stable operation of the power system, and the consumption of renewable energy. A phased evaluation method is proposed for assessing the adjustable capacity of public buildings in order to address the complex and variable factors associated with numerous public buildings. The first-level evaluation rapidly screens buildings with adjustable potential through benchmarking of energy consumption indicators, providing an initial basis for the construction of the demand response system. The second-level evaluation integrates major factors analysis and data-driven modeling methods to quantitatively assess the adjustable capacity of air conditioning systems under different conditions, meeting requirements of the invitation and declaration stages of the demand response. The third-level evaluation combines model-driven and data-driven approaches to precisely and dynamically evaluate the adjustable capacity of air conditioning systems, applicable to the execution and effect evaluation stages. The evaluation method has already been applied to 1212 buildings in the energy consumption monitoring platform for public buildings in Shenzhen, confirming its effectiveness and providing a scientifically viable reference for the demand response business of public buildings.

Key words: Public buildings, Flexible resources, Adjustable capacity evaluation, Data-driven, Model-driven, Demand response