Abstract: With the urgent demand for the energy revolution and decarbonization of coal mine energy consumption under China's "2030-60 dual carbon targets", the multi-objective two-stage coal mine integrated energy system model is proposed for the deployment-operation optimization considering the coal mine production scenarios, equipment characteristics, and the utilization of the associated energy resources such as coal gangue, methane and VAM. In the intra-day operational stage, the factors like energy conversion, equipment start-shutdown are constrained to minimize the economic cost of system operation based on the day-ahead forecasted data; In the deployment stage, the carbon emission and economic benefits are optimized based on the daily operational cost and the capacity constraints of the resource and equipment. The multi-population collaboration NSGA-Ⅱ algorithm is proposed for the two-stage rolling optimization under the double-level optimization framework to generate the Pareto solution set for the multi-objective configuration scheme of the integrated coal mine energy system. A real coal mine in the city of Taiyuan, Shanxi Province, China, is modeled as an example, and the on-site production data are used for arithmetic analysis to verify the effectiveness of the proposed model and method. The impact associated energy utilization on the energy saving and emission reduction of the coal mine integrated energy system is analyzed.