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A comprehensive model for design and analysis of bioethanol production and supply strategies from lignocellulosic biomass

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  • Lee, Minji
  • Cho, Seolhee
  • Kim, Jiyong

Abstract

This study aims to present a comprehensive decision model for design of the integrated bioethanol supply chain (IBSC). In achieving this goal, we developed a new optimization model using mixed integer linear programming. The model consists of the objective function to minimize the required cost to establish the IBSC along with practical constraints including the limit of biomass, the capacity of technologies, and the land availability. This model is capable of identifying a wide range of solutions for the economically viable IBSC: biomass as a feedstock, technical configuration of the biorefinery, and supply chain solutions. We then analyze the impact of the policies to the bioethanol production and supply strategies by implementing the different scenarios of the bioethanol-gasoline blending policy. To illustrate the capability of the proposed model, we applied the model to the biomass-derived liquid fuel supply system of Jeju Island, Korea. As a result, the total supply cost was estimated to range from 0.83 to 0.88 $/liter according the blending policies. We also analyzed the preferable options to build the IBSC of Jeju Island: woody biomass to agricultural residues, gasification to fermentation as the main conversion technology, and regions with high biomass availability to high-demand regions.

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  • Lee, Minji & Cho, Seolhee & Kim, Jiyong, 2017. "A comprehensive model for design and analysis of bioethanol production and supply strategies from lignocellulosic biomass," Renewable Energy, Elsevier, vol. 112(C), pages 247-259.
    • Handle: RePEc:eee:renene:v:112:y:2017:i:c:p:247-259
    DOI: 10.1016/j.renene.2017.05.040
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    2. Cho, Seolhee & Kim, Jiyong, 2019. "Multi-site and multi-period optimization model for strategic planning of a renewable hydrogen energy network from biomass waste and energy crops," Energy, Elsevier, vol. 185(C), pages 527-540.
    3. Santos, Andreia & Carvalho, Ana & Barbosa-Póvoa, Ana Paula & Marques, Alexandra & Amorim, Pedro, 2019. "Assessment and optimization of sustainable forest wood supply chains – A systematic literature review," Forest Policy and Economics, Elsevier, vol. 105(C), pages 112-135.
    4. Giovanni Alessandro Cappelli & Fabrizio Ginaldi & Davide Fanchini & Sebastiano Andrea Corinzia & Salvatore Luciano Cosentino & Enrico Ceotto, 2021. "Model-Based Assessment of Giant Reed ( Arundo donax L.) Energy Yield in the Form of Diverse Biofuels in Marginal Areas of Italy," Land, MDPI, vol. 10(6), pages 1-24, May.
    5. You, Chanhee & Han, Seulki & Kim, Jiyong, 2021. "Integrative design of the optimal biorefinery and bioethanol supply chain under the water-energy-food-land (WEFL) nexus framework," Energy, Elsevier, vol. 228(C).
    6. Dafnomilis, I. & Duinkerken, M.B. & Junginger, M. & Lodewijks, G. & Schott, D.L., 2018. "Optimal equipment deployment for biomass terminal operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 147-163.
    7. Xuezhen Guo & Juliën Voogt & Bert Annevelink & Joost Snels & Argyris Kanellopoulos, 2020. "Optimizing Resource Utilization in Biomass Supply Chains by Creating Integrated Biomass Logistics Centers," Energies, MDPI, vol. 13(22), pages 1-16, November.
    8. 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).
    9. Bakhtyari, Ali & Bardool, Roghayeh & Rahimpour, Mohammad Reza & Iulianelli, Adolfo, 2021. "Dehydration of bio-alcohols in an enhanced membrane-assisted reactor: A rigorous sensitivity analysis and multi-objective optimization," Renewable Energy, Elsevier, vol. 177(C), pages 519-543.

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