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A Multi-Echelon Supply Chain Model for Sustainable Electricity Generation from Municipal Solid Waste

Research output: Contribution to journalConference articleScientificpeer-review

9 Citations (Scopus)
28 Downloads (Pure)

Abstract

This paper addresses a mixed integer linear programming model for the optimal utilization of municipal solid waste in a multi-echelon supply chain network. The model focuses on tactical and operational level decisions including the supply, production, and distribution. It aims to maximize the annual net profit by optimizing the choice of waste-to-energy technologies through observing the related capacity and environmental constraints and market demands. The proposed sustainable waste management model not only reduces the burden on the environment, but also optimally distributes the solid waste through the system and converts it into electricity, thus contributing towards energy supply. Sensitivity analyses are conducted to investigate the effects of changes in waste separation rate, energy conversion rate, and energy efficiencies on the system performance and on the environment. The model is solved using
GAMS/CPLEX.
Original languageEnglish
Pages (from-to)610-615
JournalIFAC-PapersOnLine
Volume52
Issue number1
DOIs
Publication statusPublished - 2019
MoE publication typeA4 Conference publication
EventIFAC Symposium on Dynamics and Control of Process Systems, including Biosystems - Florianopolis, Brazil
Duration: 23 Apr 201926 Apr 2019
Conference number: 12
http://dycopscab2019.sites.ufsc.br/
http://dycopscab2019.sites.ufsc.br/index.html

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Waste management
  • Supply chain management
  • municipal solid waste
  • waste-to-energy
  • Mixed integer linear programming
  • Sustainability

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