南方电网技术2025，Vol.19Issue(1)：129-139,149,12.DOI:10.13648/j.cnki.issn1674-0629.2025.01.013
考虑余热梯级利用的综合能源系统减碳协同优化模型
Coordinative Optimization Model for Carbon Reduction in Integrated Energy Systems Considering Cascading Utilization of Waste Heat
摘要
Abstract
In response to the problem of low energy utilization and under-exploitation of waste heat potential in waste-to-energy plants,a carbon-reduction coordinative optimization model of the integrated energy system considering waste-to-energy plants and waste heat cascading utilization technology is proposed by introducing waste heat gradient utilization technology.Firstly,the system framework of a waste-to-energy plant is constructed,the feasibility of combined electricity,heat and gas production in waste-to-energy plants is analyzed,the energy flow relationship model of the plant is constructed,and the anaerobic leachate treatment process is mathematically modelled.Secondly,waste heat recovery system is designed by introducing waste heat cascading technology,and a supercritical CO2 Brayton cycle system is designed for waste heat recovery of solid high temperature particles of bottom ash.Then,carbon emissions are calculated through a carbon accounting model and combined with a carbon trading mechanism to limit carbon emissions,and a coordinative optimization model for carbon reduction of the integrated energy system is established with the minimization of total system operating costs as the objective function.The numerical analysis results show that the model not only reduces the cost of energy purchase and external energy dependency,but also achieves carbon reduction,effectively demonstrating the economic and environmental benefits of the model.关键词
综合能源系统/减碳协同优化/余热梯级利用/超临界CO2布雷顿循环Key words
integrated energy systems/carbon reduction coordinative optimization/cascading utilization of waste heat/supercritical CO2 Brayton cycle分类
信息技术与安全科学引用本文复制引用
洪明志,吴杰康,罗伟明,孙烨桦,方梓康,詹耀国,黄泽杭..考虑余热梯级利用的综合能源系统减碳协同优化模型[J].南方电网技术,2025,19(1):129-139,149,12.基金项目
广东省基础与应用基础研究基金区域联合基金项目--粤港澳研究团队项目(2020B1515130001).Supported by Regional Joint Fund Project of Basic and Applied Basic Research Fund of Guangdong Province(Research Team Project of Guangdong,Hong Kong and Macao)(2020B1515130001). （2020B1515130001）
