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Related Experiment Video

Updated: May 30, 2026

Measuring Biomethane Potential of Food Scrap Waste Anaerobically Co-Digested with Waste-Activated Sludge Using Respirometry
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Multiple system modelling of waste management.

Ola Eriksson1, Mattias Bisaillon

  • 1Profu i Göteborg AB, Götaforsliden 13 Nedre, SE 431 34 Mölndal, Sweden. ola.eriksson@hig.se

Waste Management (New York, N.Y.)
|August 23, 2011
PubMed
Summary

This study links waste management (ORWARE) and district heating (MARTES) models for comprehensive analysis. Integrating these systems provides a more accurate understanding of environmental and energy impacts.

Area of Science:

  • Environmental Science
  • Energy Systems Engineering
  • Operations Research

Background:

  • Waste management and energy systems are increasingly complex, necessitating advanced modeling.
  • Traditional modeling approaches in these fields have developed separately, limiting integrated analysis.
  • Incineration plants offer a critical link between waste management and energy systems.

Purpose of the Study:

  • To demonstrate the linking of detailed waste management models with energy system models.
  • To evaluate the benefits and drawbacks of model linking versus simplified assumptions.
  • To provide a more complete and credible assessment of system-wide changes.

Main Methods:

  • Linking the district heating system model (MARTES) with the waste management model (ORWARE).

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  • Comparing simulation results from linked models against those using simplified assumptions for interconnected systems.
  • Discussing the strengths and weaknesses of the model linking procedure.

    • Main Results:

    • Model linking provides a more comprehensive and accurate picture of system consequences.
    • The linking procedure is straightforward and encourages collaboration.
    • Integrated simulations offer superior insights compared to isolated model analyses.

    Conclusions:

    • Linking ORWARE and MARTES models enhances the credibility of waste and energy system assessments.
    • Integrated modeling is essential for understanding complex interactions and optimizing performance.
    • The approach facilitates a holistic view of environmental and energy system planning.