Research on Electricity-Cooling Energy Systems for Data Centers: A Case Study of Qingyang

This study focuses on the synergistic use of electricity and cooling energy within data centers, integrating photovoltaic, wind power, air conditioning, electricity and cold storage. Firstly, a model for renewable energy based electricity and cold energy supply has been established, using the economic index as the objective function, with energy and power balances serving as constraints, and incorporating actual data from Qingyang of China as boundary conditions. Secondly, the model is solved by the 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 electricity or cold storage alone, the coordinated configuration of both of them can significantly improve economic performance. This proposed scheme outperforms the current schemes in Qingyang, with a cost per kilowatt-hour of electricity of 0.3529 yuan $/ \mathrm{k W h}$.