JAUE2020-064: Optimization and analysis of building combined cooling, heating and power systems with renewable energy

Abstract

As renewable energy and Building Combined Cooling, Heating and Power (BCHP) systems play an important role in the energy field nowadays, their coupling system is attracting increasing attention in China. In this paper, a mixed integer linear programming (MILP) model is proposed for BCHP systems with Solar Photovoltaic (PV) and Wind Turbine (WT), to optimize the capacity configuration of each equipment in the system. The model sets the total annual cost as the optimization objective and seeks the configuration portfolio with the lowest cost. The MILP model is tested in the BCHP system applied in an office building in Shanghai, China. Two BCHP systems (with or without PV and WT) are calculated for comparison. The results show that the introduction of wind and solar energy can lead to better economic performance for the BCHP system since the national policies have additional subsidies for the use of renewable energy. Thus, it is suggested to introduce renewable energy into newly built BCHP if possible. Plus, the sensitivity analysis indicates that the price of natural gas has the most effect on the economic performance of the BCHP, followed by the photoelectric conversion efficiency and the wind power conversion efficiency.