IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v337y2023ics0306261923001666.html
   My bibliography  Save this article

A multi-period location-routing model for waste-to-energy supply chain: A case study

Author

Listed:
  • Gafti, Morteza
  • Sabouhi, Fatemeh
  • Bozorgi-Amiri, Ali
  • Jamili, Amin

Abstract

Due to the importance of energy in human life as well as the global environmental conditions, societies aim to lower the use of fossil fuels and supply their energy needs using renewable resources such as wind, solar, and biomass instead. In this research, we investigate a bioenergy supply chain in which energy is generated from municipal solid waste (MSW) considering waste separation and various technologies that turn wastes to biofuels. In addition, a mixed integer linear programming model is developed to minimize cost of waste collection and transportation from MSW generation areas, cost of transportation of generated biofuels and installation cost of consumption points. The presented model also considers the effect of utilizing cross-dock centers on designing the network for collecting and transporting wastes from MSW generation areas to conversion centers. In addition to show the application and efficiency of the developed model, Khorasan Razavi province is regarded as the case problem to which the model is applied and the results are thoroughly analyzed.

Suggested Citation

  • Gafti, Morteza & Sabouhi, Fatemeh & Bozorgi-Amiri, Ali & Jamili, Amin, 2023. "A multi-period location-routing model for waste-to-energy supply chain: A case study," Applied Energy, Elsevier, vol. 337(C).
  • Handle: RePEc:eee:appene:v:337:y:2023:i:c:s0306261923001666
    DOI: 10.1016/j.apenergy.2023.120802
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261923001666
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2023.120802?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gital Durmaz, Yeşim & Bilgen, Bilge, 2020. "Multi-objective optimization of sustainable biomass supply chain network design," Applied Energy, Elsevier, vol. 272(C).
    2. Hu, Chenlian & Liu, Xiao & Lu, Jie & Wang, Chi-Hwa, 2020. "Distributionally robust optimization for power trading of waste-to-energy plants under uncertainty," Applied Energy, Elsevier, vol. 276(C).
    3. Asadi, Ehsan & Habibi, Farhad & Nickel, Stefan & Sahebi, Hadi, 2018. "A bi-objective stochastic location-inventory-routing model for microalgae-based biofuel supply chain," Applied Energy, Elsevier, vol. 228(C), pages 2235-2261.
    4. Murillo-Alvarado, Pascual Eduardo & Ponce-Ortega, José María, 2022. "An optimization approach to increase the human development index through a biogas supply chain in a developing region," Renewable Energy, Elsevier, vol. 190(C), pages 347-357.
    5. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    6. Marufuzzaman, Mohammad & Ekşioğlu, Sandra Duni, 2017. "Managing congestion in supply chains via dynamic freight routing: An application in the biomass supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 54-76.
    7. Cambero, Claudia & Sowlati, Taraneh, 2014. "Assessment and optimization of forest biomass supply chains from economic, social and environmental perspectives – A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 36(C), pages 62-73.
    8. Mohtashami, Zahra & Bozorgi-Amiri, Ali & Tavakkoli-Moghaddam, Reza, 2021. "A two-stage multi-objective second generation biodiesel supply chain design considering social sustainability: A case study," Energy, Elsevier, vol. 233(C).
    9. Sharma, B. & Ingalls, R.G. & Jones, C.L. & Khanchi, A., 2013. "Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 608-627.
    10. Mohammad Marufuzzaman & Sandra Duni Ekşioğlu, 2017. "Designing a Reliable and Dynamic Multimodal Transportation Network for Biofuel Supply Chains," Transportation Science, INFORMS, vol. 51(2), pages 494-517, May.
    11. Khan, Imran & Kabir, Zobaidul, 2020. "Waste-to-energy generation technologies and the developing economies: A multi-criteria analysis for sustainability assessment," Renewable Energy, Elsevier, vol. 150(C), pages 320-333.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sadeghi Darvazeh, Saeed & Mansoori Mooseloo, Farzaneh & Gholian-Jouybari, Fatemeh & Amiri, Maghsoud & Bonakdari, Hossein & Hajiaghaei-Keshteli, Mostafa, 2024. "Data-driven robust optimization to design an integrated sustainable forest biomass-to-electricity network under disjunctive uncertainties," Applied Energy, Elsevier, vol. 356(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yunusoglu, Pinar & Ozsoydan, Fehmi Burcin & Bilgen, Bilge, 2024. "A machine learning-based two-stage approach for the location of undesirable facilities in the biomass-to-bioenergy supply chain," Applied Energy, Elsevier, vol. 362(C).
    2. Zailan, Roziah & Lim, Jeng Shiun & Manan, Zainuddin Abdul & Alwi, Sharifah Rafidah Wan & Mohammadi-ivatloo, Behnam & Jamaluddin, Khairulnadzmi, 2021. "Malaysia scenario of biomass supply chain-cogeneration system and optimization modeling development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    3. Malladi, Krishna Teja & Sowlati, Taraneh, 2018. "Biomass logistics: A review of important features, optimization modeling and the new trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 587-599.
    4. Bahmani, Pardis & Dehghani Sadrabadi, Mohammad Hossein & Makui, Ahmad & Jafari-Nodoushan, Abbasali, 2024. "An optimization-based design methodology to manage the sustainable biomass-to-biodiesel supply chain under disruptions: A case study," Renewable Energy, Elsevier, vol. 229(C).
    5. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    6. Zimmer, Tobias & Rudi, Andreas & Müller, Ann-Kathrin & Fröhling, Magnus & Schultmann, Frank, 2017. "Modeling the impact of competing utilization paths on biomass-to-liquid (BtL) supply chains," Applied Energy, Elsevier, vol. 208(C), pages 954-971.
    7. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A review and future directions in techno-economic modeling and optimization of upstream forest biomass to bio-oil supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 15-35.
    8. Benedek, József & Sebestyén, Tihamér-Tibor & Bartók, Blanka, 2018. "Evaluation of renewable energy sources in peripheral areas and renewable energy-based rural development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 516-535.
    9. Mosayeb Dashtpeyma & Reza Ghodsi, 2021. "Forest Biomass and Bioenergy Supply Chain Resilience: A Systematic Literature Review on the Barriers and Enablers," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    10. Ghadge, Abhijeet & van der Werf, Sjoerd & Er Kara, Merve & Goswami, Mohit & Kumar, Pankaj & Bourlakis, Michael, 2020. "Modelling the impact of climate change risk on bioethanol supply chains," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    11. Sadeghi Darvazeh, Saeed & Mansoori Mooseloo, Farzaneh & Gholian-Jouybari, Fatemeh & Amiri, Maghsoud & Bonakdari, Hossein & Hajiaghaei-Keshteli, Mostafa, 2024. "Data-driven robust optimization to design an integrated sustainable forest biomass-to-electricity network under disjunctive uncertainties," Applied Energy, Elsevier, vol. 356(C).
    12. Guo, Jian-Xin & Tan, Xianchun & Gu, Baihe & Zhu, Kaiwei, 2022. "Integration of supply chain management of hybrid biomass power plant with carbon capture and storage operation," Renewable Energy, Elsevier, vol. 190(C), pages 1055-1065.
    13. Naeini, Mina Alavi & Zandieh, Mostafa & Najafi, Seyyed Esmaeil & Sajadi, Seyed Mojtaba, 2020. "Analyzing the development of the third-generation biodiesel production from microalgae by a novel hybrid decision-making method: The case of Iran," Energy, Elsevier, vol. 195(C).
    14. Islam Hassanin & Matjaz Knez, 2022. "Managing Supply Chain Activities in the Field of Energy Production Focusing on Renewables," Sustainability, MDPI, vol. 14(12), pages 1-33, June.
    15. Hugo Guzmán-Bello & Iosvani López-Díaz & Miguel Aybar-Mejía & Jose Atilio de Frias, 2022. "A Review of Trends in the Energy Use of Biomass: The Case of the Dominican Republic," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    16. Cambero, Claudia & Sowlati, Taraneh, 2016. "Incorporating social benefits in multi-objective optimization of forest-based bioenergy and biofuel supply chains," Applied Energy, Elsevier, vol. 178(C), pages 721-735.
    17. Mansuy, Nicolas & Thiffault, Evelyne & Lemieux, Sébastien & Manka, Francis & Paré, David & Lebel, Luc, 2015. "Sustainable biomass supply chains from salvage logging of fire-killed stands: A case study for wood pellet production in eastern Canada," Applied Energy, Elsevier, vol. 154(C), pages 62-73.
    18. Sam Van Holsbeeck & Mark Brown & Sanjeev Kumar Srivastava & Mohammad Reza Ghaffariyan, 2020. "A Review on the Potential of Forest Biomass for Bioenergy in Australia," Energies, MDPI, vol. 13(5), pages 1-19, March.
    19. Tan, Qinliang & Wang, Tingran & Zhang, Yimei & Miao, Xinyan & Zhu, Jun, 2017. "Nonlinear multi-objective optimization model for a biomass direct-fired power generation supply chain using a case study in China," Energy, Elsevier, vol. 139(C), pages 1066-1079.
    20. Faissal Jelti & Amine Allouhi & Mahmut Sami Büker & Rachid Saadani & Abdelmajid Jamil, 2021. "Renewable Power Generation: A Supply Chain Perspective," Sustainability, MDPI, vol. 13(3), pages 1-22, January.

    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:eee:appene:v:337:y:2023:i:c:s0306261923001666. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.