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Area of Science:

  • Environmental Engineering
  • Waste Management Systems
  • Process Simulation

Background:

  • The Paris agglomeration manages 2.5 million tons/yr of municipal solid waste.
  • Current waste management systems require detailed analysis for efficiency.
  • Existing life cycle analyses often use generic descriptions of treatment units.

Purpose of the Study:

  • To analyze the waste management system in a Paris collection basin using process simulation.
  • To develop and calibrate a simulator for the current waste management situation.
  • To simulate future scenarios and compare their outcomes.

Main Methods:

  • Process simulation was employed to model the waste management system.
  • A simulator was constructed and calibrated using local data.
  • Multiple scenarios involving changes in waste flows and treatment options were simulated.

Main Results:

  • The process-based approach provides technical indicators for system efficiency.
  • Key indicators include recycling rates, energy recovery, emission fluxes, and costs.
  • Simulation results offer quantitative arguments for decision-making and public debate.

Conclusions:

  • Process simulation offers a detailed, data-driven analysis of waste management systems.
  • This approach complements life cycle analyses by using local, specific data.
  • The findings support informed decision-making and public consensus on waste management strategies.