IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i9p2346-d1648947.html
   My bibliography  Save this article

Assessment of Greenhouse Gas Reduction and Sustainability Index in Waste-to-Energy Conversion Scenarios Using System Dynamics Modeling

Author

Listed:
  • Ali Shahbazi

    (Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran
    Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden)

  • Mazaher Moeinaddini

    (Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj, Iran)

  • Rajib Sinha

    (Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden)

  • Mohammad Ali Abdoli

    (Department of Environmental Engineering, Faculty of Environment, University of Tehran, Tehran, Iran)

  • Mahnaz Hosseinzadeh

    (Sheffield University Management School, The University of Sheffield, Sheffield S10 2TN, UK)

  • Neamatollah Jaafarzadeh Haghighi Fard

    (Environmental Technologies Research Center, Medical Basic Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran)

  • Shoaib Azizi

    (Department of Sustainable Development, Environmental Science and Engineering (SEED), KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden)

Abstract

This study aims to evaluate various waste-to-energy conversion scenarios in terms of their potential to reduce greenhouse gas (GHG) emissions and improve sustainability based on economic and environmental outcomes. To achieve this, a comprehensive waste management model was developed using the system dynamics approach in the Vensim software to predict waste generation and composition and compare pyrolysis, incineration, gasification, and sanitary landfill scenarios with the baseline scenario over 25 years (2025–2050). The analysis of different waste management scenarios highlights the superior performance of pyrolysis in terms of energy recovery, economic profit, GHG emissions reduction, environmental outcomes, and long-term sustainability. Results show that the pyrolysis scenario generates the highest electricity, with a cumulative net electricity output of 10,469 GWh. Although pyrolysis has GHG emissions due to energy consumption and direct process emissions, it results in the largest net reduction in GHG emissions, primarily due to avoided emissions from increased electricity generation, leading to a 346% reduction compared to the baseline scenario. Furthermore, the pyrolysis scenario demonstrates the highest economic profit at 354 million USD and the highest sustainability index (SI) at 499 million USD. The cumulative SI from 2025 to 2050 shows a 503% increase compared to the business-as-usual scenario, highlighting its superior sustainability performance. This study highlights the importance of strategic waste-to-energy planning in reducing GHG emissions and promoting sustainability. It also offers valuable insights for policymakers and researchers, supporting the development of sustainable waste management strategies and effective efforts for climate change mitigation.

Suggested Citation

  • Ali Shahbazi & Mazaher Moeinaddini & Rajib Sinha & Mohammad Ali Abdoli & Mahnaz Hosseinzadeh & Neamatollah Jaafarzadeh Haghighi Fard & Shoaib Azizi, 2025. "Assessment of Greenhouse Gas Reduction and Sustainability Index in Waste-to-Energy Conversion Scenarios Using System Dynamics Modeling," Energies, MDPI, vol. 18(9), pages 1-22, May.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2346-:d:1648947
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/9/2346/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/9/2346/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2346-:d:1648947. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.