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Implementing Circular Economy in municipal solid waste treatment system using P-graph.

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This summary is machine-generated.

This study uses P-graph optimization to design integrated waste management systems for a circular economy. For lower-income countries, optimal solutions reduce greenhouse gas emissions and increase profits through recycling and waste-to-energy processes.

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Area of Science:

  • Environmental Engineering
  • Operations Research
  • Circular Economy

Background:

  • Municipal solid waste (MSW) generation is a growing challenge linked to economic development and urbanization.
  • Effective waste management is crucial for supporting a circular economy and mitigating environmental impacts.

Purpose of the Study:

  • To develop an integrated design for municipal solid waste management systems using P-graph optimization.
  • To identify optimal waste treatment strategies considering economic viability and environmental externalities (GHG emissions).
  • To support decision-making for waste management planning within a circular economy framework.

Main Methods:

  • Utilized P-graph, a bipartite graphical optimization tool, for integrated system design.
  • Analyzed four MSW compositions reflecting different country income levels.
  • Incorporated economic factors (operating costs, product value) and externality costs (GHG emissions) into the model.

Main Results:

  • For lower-income countries, an optimal strategy combines source separation, recycling, incineration, anaerobic digestion, and landfilling, reducing CO2eq by 411 kg/t and yielding a profit of 42 €/t.
  • Mechanical biological treatment becomes more favorable as country income levels increase, adapting to changing MSW composition.
  • Relative pricing of energy products (biofuel, electricity, heat) significantly influences treatment structure and overall profitability.

Conclusions:

  • The P-graph framework is an effective decision support tool for planning integrated MSW management systems.
  • The developed model successfully balances economic objectives with environmental considerations.
  • Future research should focus on localized data for customized and economically feasible waste management solutions.