As an environment-friendly and resource-saving energy form

natural gas combined cooling

heating and power(CCHP) supply system is widely used in building energy supply. In order to solve the low reliability in energy supply of integrated energy system caused by the separation of equipment-capacity determination and operation optimization

in this study

based on predicted output of the photovoltaic system by aid of PVsyst software

a bi-level optimization model of hybrid solar and CCHP system is formulated. The KKT conditions are used to convert the proposed model to a general single-level optimization and generated optimal energy-supply pattern. Moreover

a hotel in Shanghai is taken as a case to verify the driving effect of the model on energy saving and consumption reduction of building energy supply system. The results show that

compared with two types of single-layer optimization models

namely the “configuration optimization before operation optimization” and the “operation optimization before configuration optimization”

the bi-level model improves the flexibility and reliability in energy supply and enhances energy-utilization experience of user on the premise of realizing the minimization of total system cost.