为实现传统工业部门的低碳转型，构建了集成可再生能源、电锅炉、储热以及碳捕集利用与封存（CCUS）装备的低碳综合能源系统，并提出了经济和低碳双重导向下的系统配置优化方法。应用粒子群优化算法求解获得各设备的最优配置容量及典型场景下的最优调度方案，并选取乙烯工业进行案例分析。结果表明：通过引入CCUS和可再生能源装备，系统碳排放减少了57.50%，年总成本增加15.92%；当碳价高于109.61元/t时，低碳综合能源系统具有经济和低碳双重优势。

To achieve the lowcarbon transformation of traditional industrial sectors, a lowcarbon integrated energy system integrating renewable energy, electric boiler, thermal storage tank and carbon capture, utilization and storage (CCUS) equipment was established to reduce carbon emissions, and an economic and lowcarbon oriented configuration optimization method was proposed. Particle swarm optimization algorithm was applied to find the optimal configuration and scheduling scheme for each device under typical scenarios, and the ethylene industry was selected as a case study. The results show that by deploying CCUS and renewable energy device, the carbon emissions of system decrease by 57.50%, and the total annual cost increases by 15.92%; the lowcarbon integrated energy system will have both economic and low carbon advantages when the carbon price exceeds 109.61 yuan per ton.

TK221

国家重点研发计划项目(2021YFE0112800);国家自然科学基金项目(532376002);江苏省碳达峰碳中和科技创新项目(BE2022602);中央高校基本科研业务费项目(2242023K5001,2242023K30011)