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Environmentally conscious capacity planning and technology selection for bioethanol supply chains

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  • Giarola, Sara
  • Zamboni, Andrea
  • Bezzo, Fabrizio

Abstract

Concerns about energy supply security and climate change have been pushing world countries towards the promotion of renewable sources of energy and more sustainable liquid fuels. Initially indicated as the most viable solution within the transport sector, corn bioethanol is now incurring increasing discredits relating to its profitability and to its effective sustainability. Lignocellulosic ethanol is commonly viewed as a better solution over the long term due to its potential to overcome first generation limitations. This paper addresses the design of bioethanol supply chains where both corn grain and stover are considered as suitable biomass. A Mixed Integer Linear Program is proposed to simultaneously optimise the environmental and financial performances by taking into account a wide number of technological options. Results show the effect of different strategic objectives on the main design feature and it is demonstrated how environmental objectives may strongly affect technological choices as well as the supply chain design in terms of both system profitability and sustainability.

Suggested Citation

  • Giarola, Sara & Zamboni, Andrea & Bezzo, Fabrizio, 2012. "Environmentally conscious capacity planning and technology selection for bioethanol supply chains," Renewable Energy, Elsevier, vol. 43(C), pages 61-72.
    • Handle: RePEc:eee:renene:v:43:y:2012:i:c:p:61-72
    DOI: 10.1016/j.renene.2011.12.011
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    Cited by:

    1. Azadeh, Ali & Vafa Arani, Hamed, 2016. "Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach," Renewable Energy, Elsevier, vol. 93(C), pages 383-403.
    2. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    3. Taheri, Nima & Jahani, Hamed & Pishvaee, Mir Saman, 2024. "Modeling sustainable bioethanol supply chain in Australia: A system dynamics approach," Renewable Energy, Elsevier, vol. 227(C).
    4. Aleksander Banasik & Jacqueline M. Bloemhof-Ruwaard & Argyris Kanellopoulos & G. D. H. Claassen & Jack G. A. J. Vorst, 2018. "Multi-criteria decision making approaches for green supply chains: a review," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 366-396, September.
    5. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    6. Iqbal, M. & Azam, M. & Naeem, M. & Khwaja, A.S. & Anpalagan, A., 2014. "Optimization classification, algorithms and tools for renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 640-654.
    7. 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.
    8. Yılmaz Balaman, Şebnem & Wright, Daniel G. & Scott, James & Matopoulos, Aristides, 2018. "Network design and technology management for waste to energy production: An integrated optimization framework under the principles of circular economy," Energy, Elsevier, vol. 143(C), pages 911-933.
    9. Ng, Rex T.L. & Maravelias, Christos T., 2017. "Design of biofuel supply chains with variable regional depot and biorefinery locations," Renewable Energy, Elsevier, vol. 100(C), pages 90-102.
    10. Gonela, Vinay & Zhang, Jun & Osmani, Atif & Onyeaghala, Raphael, 2015. "Stochastic optimization of sustainable hybrid generation bioethanol supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 1-28.
    11. Calderón, Andrés J. & Agnolucci, Paolo & Papageorgiou, Lazaros G., 2017. "An optimisation framework for the strategic design of synthetic natural gas (BioSNG) supply chains," Applied Energy, Elsevier, vol. 187(C), pages 929-955.

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