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Design of biofuel supply chains with variable regional depot and biorefinery locations

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  • Ng, Rex T.L.
  • Maravelias, Christos T.

Abstract

We propose a multi-period mixed-integer linear programming (MILP) model for the design and operational planning of cellulosic biofuel supply chains. Specifically, the proposed MILP model accounts for biomass selection and allocation, technology selection and capacity planning at regional depots and biorefineries. Importantly, it considers the location of regional depots and biorefineries as continuous optimization decisions. We introduce approximation and reformulation methods for the calculation of the shipments and transportation distance in order to obtain a linear model. We illustrate the applicability of the proposed methods using two medium-scale examples with realistic data.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:100:y:2017:i:c:p:90-102
    DOI: 10.1016/j.renene.2016.05.009
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    1. De Meyer, Annelies & Cattrysse, Dirk & Van Orshoven, Jos, 2016. "Considering biomass growth and regeneration in the optimisation of biomass supply chains," Renewable Energy, Elsevier, vol. 87(P2), pages 990-1002.
    2. 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.
    3. Čuček, Lidija & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Kravanja, Zdravko, 2012. "Total footprints-based multi-criteria optimisation of regional biomass energy supply chains," Energy, Elsevier, vol. 44(1), pages 135-145.
    4. 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.
    5. Awudu, Iddrisu & Zhang, Jun, 2013. "Stochastic production planning for a biofuel supply chain under demand and price uncertainties," Applied Energy, Elsevier, vol. 103(C), pages 189-196.
    6. Zhang, Fengli & Johnson, Dana & Johnson, Mark & Watkins, David & Froese, Robert & Wang, Jinjiang, 2016. "Decision support system integrating GIS with simulation and optimisation for a biofuel supply chain," Renewable Energy, Elsevier, vol. 85(C), pages 740-748.
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    1. Hossain, Tasmin & Jones, Daniela & Hartley, Damon & Griffel, L. Michael & Lin, Yingqian & Burli, Pralhad & Thompson, David N. & Langholtz, Matthew & Davis, Maggie & Brandt, Craig, 2021. "The nth-plant scenario for blended feedstock conversion and preprocessing nationwide: Biorefineries and depots," Applied Energy, Elsevier, vol. 294(C).
    2. Albashabsheh, Nibal T. & Heier Stamm, Jessica L., 2019. "Optimization of lignocellulosic biomass-to-biofuel supply chains with mobile pelleting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 545-562.
    3. Li, Yu & Kesharwani, Rajkamal & Sun, Zeyi & Qin, Ruwen & Dagli, Cihan & Zhang, Meng & Wang, Donghai, 2020. "Economic viability and environmental impact investigation for the biofuel supply chain using co-fermentation technology," Applied Energy, Elsevier, vol. 259(C).
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    5. Ng, Rex T.L. & Maravelias, Christos T., 2017. "Economic and energetic analysis of biofuel supply chains," Applied Energy, Elsevier, vol. 205(C), pages 1571-1582.
    6. Gulnar Shaimardanovna Kaliakparova & Y?lena Evgenevna Gridneva & Sara Sarsebekovna Assanova & Sandugash Babagalikyzy Sauranbay & Abdizhapar Djumanovich Saparbayev, 2020. "International Economic Cooperation of Central Asian Countries on Energy Efficiency and Use of Renewable Energy Sources," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 539-545.
    7. 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.
    8. Ge, Yuntian & Li, Lin & Yun, Lingxiang, 2021. "Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways," Applied Energy, Elsevier, vol. 281(C).
    9. Hoo Poh Ying & Cassendra Bong Phun Chien & Fan Yee Van, 2020. "Operational Management Implemented in Biofuel Upstream Supply Chain and Downstream International Trading: Current Issues in Southeast Asia," Energies, MDPI, vol. 13(7), pages 1-26, April.
    10. Kesharwani, Rajkamal & Sun, Zeyi & Dagli, Cihan & Xiong, Haoyi, 2019. "Moving second generation biofuel manufacturing forward: Investigating economic viability and environmental sustainability considering two strategies for supply chain restructuring," Applied Energy, Elsevier, vol. 242(C), pages 1467-1496.
    11. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    12. Kheybari, Siamak & Kazemi, Mostafa & Rezaei, Jafar, 2019. "Bioethanol facility location selection using best-worst method," Applied Energy, Elsevier, vol. 242(C), pages 612-623.
    13. Mondal, Arijit & Giri, Binoy Krishna & Roy, Sankar Kumar, 2023. "An integrated sustainable bio-fuel and bio-energy supply chain: A novel approach based on DEMATEL and fuzzy-random robust flexible programming with Me measure," Applied Energy, Elsevier, vol. 343(C).
    14. Ibrahim M. Hezam & Fausto Cavallaro & Jyoti Lakshmi & Pratibha Rani & Subhanshu Goyal, 2023. "Biofuel Production Plant Location Selection Using Integrated Picture Fuzzy Weighted Aggregated Sum Product Assessment Framework," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    15. Ng, Rex T.L. & Kurniawan, Daniel & Wang, Hua & Mariska, Brian & Wu, Wenzhao & Maravelias, Christos T., 2018. "Integrated framework for designing spatially explicit biofuel supply chains," Applied Energy, Elsevier, vol. 216(C), pages 116-131.
    16. He-Lambert, Lixia & English, Burton C. & Lambert, Dayton M. & Shylo, Oleg & Larson, James A. & Yu, T. Edward & Wilson, Bradly, 2018. "Determining a geographic high resolution supply chain network for a large scale biofuel industry," Applied Energy, Elsevier, vol. 218(C), pages 266-281.

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