电力工程技术2026，Vol.45Issue(4)：1-11,11.DOI:10.12158/j.2096-3203.2026.04.001
耦合储液式CCS和ORC的IES低碳优化调度
Low-carbon optimal dispatch of an IES coupling solvent-storage CCS and ORC
摘要
Abstract
To further improve the operational flexibility and low-carbon emission capacity of integrated energy system(IES),a low-carbon optimal scheduling model of IES coupled with a solvent-storage carbon capture system(CCS)and an organic Rankine cycle(ORC)waste heat power generation device is proposed.Firstly,a combined heat and power(CHP)model for a gas turbine(GT)is constructed through waste heat utilization,and an ORC waste heat power generation unit is introduced to achieve thermoelectric decoupling of the unit and improve the operational flexibility of the system.Secondly,the carbon emissions of the system are constrained through the CCS,and the carbon reduction capability and flexible carbon control advantages of the solvent-storage CCS are further validated.Finally,a day-ahead optimal scheduling model is established with the objective of minimizing the total cost of the system,including energy procurement cost,carbon emission cost,and renewable energy curtailment cost.The results show that the ORC waste heat power generation unit achieves thermoelectric decoupling of the unit and enhances the operational flexibility of the system,while reducing operational costs and carbon emissions by 1.06%and by 1.03%,respectively.The solvent-storage CCS reduces the carbon emissions and total costs of the system by 77.91%and 11.84%,respectively,and the utilization rate of renewable energy reaches 75.48%.The simulation results demonstrate that the proposed model can effectively lower system operating costs,reduce carbon emissions,and promote renewable energy integration.关键词
综合能源系统(IES)/碳捕集(CCS)/有机朗肯循环(ORC)/热电解耦/灵活性提升/低碳优化调度Key words
integrated energy system(IES)/carbon capture system(CCS)/organic Rankine cycle(ORC)/thermoelectric decoupling/flexibility enhancement/low-carbon optimal scheduling分类
信息技术与安全科学引用本文复制引用
耿显显,张靖,何宇,严儒井,吕刚,刘影..耦合储液式CCS和ORC的IES低碳优化调度[J].电力工程技术,2026,45(4):1-11,11.基金项目
国家自然科学基金资助项目(52406227) （52406227）
贵州省科技支撑计划资助项目(黔科合支撑[2022]一般013) （黔科合支撑[2022]一般013）
贵州省科技支撑计划资助项目(黔科合成果-LH[2024]重大028) （黔科合成果-LH[2024]重大028）
