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Development and implementation of an optimisation model for biofuels supply chain

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  • Papapostolou, Christiana
  • Kondili, Emilia
  • Kaldellis, John K.

Abstract

Biofuels supply chain comprises a wide set of activities involving a rather complex set of parameters. Cultivation of the raw materials is closely related to the agricultural sector whereas the production of the final product presumes the operation of a conversion plant. The distribution network aims at delivering the final product close to the consumption. The extent of the involvement of each one of the previously mentioned sectors is the result of strategic and operational planning of the whole supply chain and, in the general case, determines the efficiency of the biofuels sector. Taking also into account the very rapidly changing opinions related to the environmental behaviour of the whole biofuels supply chain, it becomes very clear that the parameters in the sector are continuously changing. Therefore, the consideration of an integrated supply chain appropriately modelled is believed to be very critical and could result in the optimal solution per case, economically and/or environmentally speaking. In this paper the development of a mathematical model for the optimal design and operation of Biofuels Supply Chain is proposed as an integrated approach that can take into account both technical and economic parameters affecting the performance of the whole value chain. Model implementation would facilitate and support the decision taking in various planning and operational issues such as infrastructure investments, the quantities of raw materials to be cultivated, the quantities of biofuels to be produced in the domestic market or imported, identifying the best available solution for the optimal design and operation of the biofuels supply chain.

Suggested Citation

  • Papapostolou, Christiana & Kondili, Emilia & Kaldellis, John K., 2011. "Development and implementation of an optimisation model for biofuels supply chain," Energy, Elsevier, vol. 36(10), pages 6019-6026.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:10:p:6019-6026
    DOI: 10.1016/j.energy.2011.08.013
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    11. Shafiei, Ehsan & Davidsdottir, Brynhildur & Leaver, Jonathan & Stefansson, Hlynur & Asgeirsson, Eyjolfur Ingi & Keith, David R., 2016. "Analysis of supply-push strategies governing the transition to biofuel vehicles in a market-oriented renewable energy system," Energy, Elsevier, vol. 94(C), pages 409-421.
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    13. Sojung Kim & Junyoung Seo & Sumin Kim, 2024. "Machine Learning Technologies in the Supply Chain Management Research of Biodiesel: A Review," Energies, MDPI, vol. 17(6), pages 1-15, March.
    14. Eirini Aivazidou & Dimitrios Aidonis & Naoum Tsolakis & Charisios Achillas & Dimitrios Vlachos, 2022. "Wine Supply Chain Network Configuration under a Water Footprint Cap," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    15. Li, Qi & Hu, Guiping, 2014. "Supply chain design under uncertainty for advanced biofuel production based on bio-oil gasification," Energy, Elsevier, vol. 74(C), pages 576-584.
    16. Babazadeh, Reza, 2017. "Optimal design and planning of biodiesel supply chain considering non-edible feedstock," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1089-1100.
    17. Arabi, Mahsa & Yaghoubi, Saeed & Tajik, Javad, 2019. "A mathematical model for microalgae-based biobutanol supply chain network design under harvesting and drying uncertainties," Energy, Elsevier, vol. 179(C), pages 1004-1016.
    18. Rincón, Luis E. & Valencia, Monica J. & Hernández, Valentina & Matallana, Luis G. & Cardona, Carlos A., 2015. "Optimization of the Colombian biodiesel supply chain from oil palm crop based on techno-economical and environmental criteria," Energy Economics, Elsevier, vol. 47(C), pages 154-167.
    19. Eskandarpour, Majid & Dejax, Pierre & Miemczyk, Joe & Péton, Olivier, 2015. "Sustainable supply chain network design: An optimization-oriented review," Omega, Elsevier, vol. 54(C), pages 11-32.
    20. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2015. "A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)," European Journal of Operational Research, Elsevier, vol. 245(1), pages 247-264.
    21. Guerra, Omar J. & Reklaitis, Gintaras V., 2018. "Advances and challenges in water management within energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4009-4019.
    22. Duarte, Alexandra E. & Sarache, William A. & Costa, Yasel J., 2014. "A facility-location model for biofuel plants: Applications in the Colombian context," Energy, Elsevier, vol. 72(C), pages 476-483.
    23. Osmani, Atif & Zhang, Jun, 2013. "Stochastic optimization of a multi-feedstock lignocellulosic-based bioethanol supply chain under multiple uncertainties," Energy, Elsevier, vol. 59(C), pages 157-172.

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