A Study of Practical Cases Regarding the Synergy of Electricity and Heat in Industrial Parks

This study focuses on the synergistic utilization of electricity and heat in industrial parks, integrating photovoltaic (PV), wind power, innovative C02 heat pumps, electric and heat storage. Firstly, a model for renewable energy based electricity and heat supply has been established, utilizing the economic index as the 0 bj ective function, with energy and power balances serving as constraints, and incorporating actual data from Shandong Province of China as boundary conditions. Secondly, the model is solved by mixed integer linear programming (MILP) in Gurobi to determine the minimum net present value of cost and the optimal scales of its components. Finally, a comparative analysis reveals that compared to configuring electric or heat storage alone, the coordinated configuration of both of them can significantly improve economic performance. The ratio of heat and electric storage investment primarily influences the allocation of electric and heat storage capacities, while it has little impact on the capacity configuration of PV, wind, and heat pump systems.