Research on optimization of multi-energy coupling combined supply system in industrial parks based on Beluga Whale optimization algorithm

To achieve the economic and low-carbon energy supply in an industrial park, a comparative optimization analysis of three combined supply systems is conducted based on the Beluga Whale optimization algorithm, and the optimal combined supply system suitable for the industrial park is obtained. The typical daily energy hourly distribution of the optimal system as well as the impact of natural gas prices on the system optimization configuration, CO2emissions, and rejected heat are analysed. The results show that the system comprising gas turbines, gas boilers, thermal storage devices, wind turbines, and photovoltaic cells has the best economic performance, with a cost reduction of 14.4% compared with the natural gas-driven combined supply system. When considering the upper limit of the equipment capacity, with natural gas prices increasing, the gas turbine capacity and rejected heat gradually decrease, the photovoltaic cell capacity gradually increases until reaching the upper limit of capacity, and then the wind turbine capacity gradually increases, meanwhile, the annual CO2emissions of the system show a trend of first decreasing and then increasing. When not considering the upper limit of the equipment capacity, with natural gas prices increasing, wind turbines in the system would be delayed in use compared with the previous scenario, and the inflection point of CO2emissions will shift backward.