化工进展 ›› 2025, Vol. 44 ›› Issue (8): 4617-4627.DOI: 10.16085/j.issn.1000-6613.2024-1588

• 过程系统工程的模拟与仿真 • 上一篇    

基于垃圾分类的城市固体废弃物供应链网络多目标优化

韦孟宇1(), 童张法1,2, 蒋迎花1,2()   

  1. 1.广西大学化学化工学院,广西 南宁 530004
    2.广西大学广西石化资源加工及过程强化技术重点实验室,广西 南宁 530004
  • 收稿日期:2024-09-30 修回日期:2025-01-02 出版日期:2025-08-25 发布日期:2025-09-08
  • 通讯作者: 蒋迎花
  • 作者简介:韦孟宇(1998—),男,硕士研究生,研究方向为过程系统工程。E-mail:wmy_gxu@163.com
  • 基金资助:
    国家自然科学基金(22308064);广西大学高层次人才引进科研启动项目(A3040051027);广西科技基地和人才专项(桂科AD23026166)

Multi-objective optimization of municipal solid waste supply chain network based on waste classification

WEI Mengyu1(), TONG Zhangfa1,2, JIANG Yinghua1,2()   

  1. 1.College of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, Guangxi, China
    2.Guangxi Key Laboratory of Petrochemical Resource Processing and Process Enhancement Technology, Guangxi University, Nanning 530004, Guangxi, China
  • Received:2024-09-30 Revised:2025-01-02 Online:2025-08-25 Published:2025-09-08
  • Contact: JIANG Yinghua

摘要:

从废物能源化和废物的运输角度出发,构建了一个基于垃圾分类的城市固体废弃物供应链网络,综合考虑了城市生活垃圾对处理方式的选择,以及垃圾收集点到中转站和中转站到处理设施点的运输路线的选择。在此基础上,以城市固体废弃物供应链网络总费用最小和总碳排放最小为优化目标,建立了城市固体废弃物供应链网络的多目标优化模型,并采用ε约束法进行求解。以一个广西省南宁市的城市固体废弃物供应链网络为例说明了该方法的实施步骤和有效性。研究结果表明,采用本文所提出的方法可以得到城市固体废弃物供应链网络的总费用和总碳排放的帕累托前沿,并能获得在不同目标值下的最优供应链网络和能源化方式。当权重因子均为0.5时,为供应链网络的权衡点,系统的总费用和总碳排放分别为-22034USD/d和533830kg/d。此外,本文还探究了电价的变化和垃圾转运效率系数对城市固体废弃物供应链网络帕累托前沿的影响。

关键词: 城市固体废弃物, 供应链网络, 垃圾分类, 经济性, 碳排放

Abstract:

A supply chain network of municipal solid waste (MSW) based on waste classification is constructed from the perspective of waste energy and transportation. The selection of treatment methods for MSW and the choice of transportation routes from the waste collection point to the transfer station, as well as from the transfer station to the treatment facility, are comprehensively analyzed. On this basis, a corresponding multi-objective optimization model of the MSW supply chain network is established with the optimization objectives of minimum total cost and minimum total carbon emission, and the ε-constraint method is used to solve it. Then, an example of the supply chain network of MSW in Nanning, Guangxi is taken to illustrate the implementation and effectiveness of this method. The results show that the Pareto frontier of total cost and total carbon emissions of the MSW supply chain network can be obtained using the method proposed in this paper, and the optimal supply chain network and waste energy utilization approaches under different target values can be obtained. When the weight factors are both 0.5, the total cost and total carbon emission of the system are -22034USD/d and 533830kg/d, respectively. In addition, the effects of electricity price changes and waste transfer efficiency coefficients on the Pareto frontier of the MSW supply chain network are explored.

Key words: municipal solid waste, supply chain networks, waste classification, economy, carbon emission

中图分类号: 

京ICP备12046843号-2;京公网安备 11010102001994号
版权所有 © 《化工进展》编辑部
地址:北京市东城区青年湖南街13号 邮编:100011
电子信箱:hgjz@cip.com.cn
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn