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Assessment of optimal biofuel supply chain planning in Iran: Technical, economic, and agricultural perspectives

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  • Avami, Akram

Abstract

Contribution to satisfying the final energy demand, the necessities arises from waste minimization, and rural area's developments are the main incentives for biofuel usage in the Iranian energy supply system. This paper develops a model for the supply chain of bioethanol and bioETBE from the farms to the end users which integrates the temporal and spatial scales. It considers the techno-economical evaluations of first and second generation biofuels. The results provide practical insights for decision makers to introduce the biofuel into the Iranian energy systems. Here, the optimal designs of transition pathways of biofuel supply chain are available which successfully assesses the benefits and barriers to the decision maker.

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  • Avami, Akram, 2013. "Assessment of optimal biofuel supply chain planning in Iran: Technical, economic, and agricultural perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 761-768.
    • Handle: RePEc:eee:rensus:v:26:y:2013:i:c:p:761-768
    DOI: 10.1016/j.rser.2013.06.028
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    References listed on IDEAS

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    1. Huang, Yongxi & Chen, Chien-Wei & Fan, Yueyue, 2010. "Multistage optimization of the supply chains of biofuels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 820-830, November.
    2. Malça, João & Freire, Fausto, 2006. "Renewability and life-cycle energy efficiency of bioethanol and bio-ethyl tertiary butyl ether (bioETBE): Assessing the implications of allocation," Energy, Elsevier, vol. 31(15), pages 3362-3380.
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    4. Avami, Akram, 2012. "A model for biodiesel supply chain: A case study in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4196-4203.
    5. Najafi, G. & Ghobadian, B. & Tavakoli, T. & Yusaf, T., 2009. "Potential of bioethanol production from agricultural wastes in Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1418-1427, August.
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    Cited by:

    1. Khishtandar, Soheila & Zandieh, Mostafa & Dorri, Behrouz, 2017. "A multi criteria decision making framework for sustainability assessment of bioenergy production technologies with hesitant fuzzy linguistic term sets: The case of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1130-1145.
    2. 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.
    3. Mollahosseini, Arash & Hosseini, Seyed Amid & Jabbari, Mostafa & Figoli, Alberto & Rahimpour, Ahmad, 2017. "Renewable energy management and market in Iran: A holistic review on current state and future demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 774-788.
    4. Hombach, Laura Elisabeth & Walther, Grit, 2015. "Pareto-efficient legal regulation of the (bio)fuel market using a bi-objective optimization model," European Journal of Operational Research, Elsevier, vol. 245(1), pages 286-295.
    5. Rahemi, Hasti & Torabi, S. Ali & Avami, Akram & Jolai, Fariborz, 2020. "Bioethanol supply chain network design considering land characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).

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