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Modelling the impact of climate change risk on bioethanol supply chains

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  • Ghadge, Abhijeet
  • van der Werf, Sjoerd
  • Er Kara, Merve
  • Goswami, Mohit
  • Kumar, Pankaj
  • Bourlakis, Michael

Abstract

The availability of bioethanol, a promising renewable alternative to fossil fuels depends on the supply of biomass produced from agricultural resources. The study attempts a system dynamics modelling approach to explore the implications of greenhouse gas concentration trajectories associated with climate change on bioethanol supply chains. Eight different climate change scenarios are simulated spanning over a 40-year horizon to predict biomass yield and bioethanol availability, by considering first generation (corn) and second generation (switchgrass) ethanol feedstocks. The developed model is used to assess the extent of potential disruptions resulting from global warming. Cascading effect of climate change risk is evident through decreased yield and production, and increased shortages at end customer in the bioethanol supply network. The results indicate that, if climate change risk is not adequately mitigated and current used source of ethanol (corn) continues to be leveraged, the bioethanol availability may decrease by one-fourth by the year 2060. The comparative study encourages exploring the increased use of switchgrass as a sustainable feedstock for renewable energy. Developed insights support identifying effective climate change mitigation policies and sustainable investment decisions for the reduction in carbon emissions.

Suggested Citation

  • Ghadge, Abhijeet & van der Werf, Sjoerd & Er Kara, Merve & Goswami, Mohit & Kumar, Pankaj & Bourlakis, Michael, 2020. "Modelling the impact of climate change risk on bioethanol supply chains," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    • Handle: RePEc:eee:tefoso:v:160:y:2020:i:c:s0040162520310532
    DOI: 10.1016/j.techfore.2020.120227
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    1. Mafakheri, Fereshteh & Nasiri, Fuzhan, 2014. "Modeling of biomass-to-energy supply chain operations: Applications, challenges and research directions," Energy Policy, Elsevier, vol. 67(C), pages 116-126.
    2. Nunes, L.J.R. & Causer, T.P. & Ciolkosz, D., 2020. "Biomass for energy: A review on supply chain management models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    3. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    4. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    5. Mohamed Abdul Ghani, N. Muhammad Aslaam & Vogiatzis, Chrysafis & Szmerekovsky, Joseph, 2018. "Biomass feedstock supply chain network design with biomass conversion incentives," Energy Policy, Elsevier, vol. 116(C), pages 39-49.
    6. Ba, Birome Holo & Prins, Christian & Prodhon, Caroline, 2016. "Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective," Renewable Energy, Elsevier, vol. 87(P2), pages 977-989.
    7. Awudu, Iddrisu & Zhang, Jun, 2012. "Uncertainties and sustainability concepts in biofuel supply chain management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1359-1368.
    8. Abhijeet Ghadge & Hendrik Wurtmann & Stefan Seuring, 2020. "Managing climate change risks in global supply chains: a review and research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 44-64, January.
    9. Zhang, Jun & Osmani, Atif & Awudu, Iddrisu & Gonela, Vinay, 2013. "An integrated optimization model for switchgrass-based bioethanol supply chain," Applied Energy, Elsevier, vol. 102(C), pages 1205-1217.
    10. 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.
    11. Boris Sokolov & Dmitry Ivanov & Alexandre Dolgui & Alexander Pavlov, 2016. "Structural quantification of the ripple effect in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 152-169, January.
    12. Tadeusz W. Patzek, 2010. "A Probabilistic Analysis of the Switchgrass Ethanol Cycle," Sustainability, MDPI, vol. 2(10), pages 1-37, September.
    13. 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.
    14. Rentizelas, Athanasios A. & Tolis, Athanasios J. & Tatsiopoulos, Ilias P., 2009. "Logistics issues of biomass: The storage problem and the multi-biomass supply chain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 887-894, May.
    15. Ritesh Ojha & Abhijeet Ghadge & Manoj Kumar Tiwari & Umit S. Bititci, 2018. "Bayesian network modelling for supply chain risk propagation," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5795-5819, September.
    16. Jacques, David & Fox, Glenn & White, Peter, 2018. "Farm level economic analysis of subsurface drip irrigation in Ontario corn production," Agricultural Water Management, Elsevier, vol. 203(C), pages 333-343.
    17. Huang, Kefeng & Won, Wangyun & Barnett, Kevin J. & Brentzel, Zachary J. & Alonso, David M. & Huber, George W. & Dumesic, James A. & Maravelias, Christos T., 2018. "Improving economics of lignocellulosic biofuels: An integrated strategy for coproducing 1,5-pentanediol and ethanol," Applied Energy, Elsevier, vol. 213(C), pages 585-594.
    18. Tembo, Gelson & Epplin, Francis M. & Huhnke, Raymond L., 2003. "Integrative Investment Appraisal of a Lignocellulosic Biomass-to-Ethanol Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-23, December.
    19. Balat, Mustafa & Balat, Havva, 2009. "Recent trends in global production and utilization of bio-ethanol fuel," Applied Energy, Elsevier, vol. 86(11), pages 2273-2282, November.
    20. Zabed, H. & Sahu, J.N. & Suely, A. & Boyce, A.N. & Faruq, G., 2017. "Bioethanol production from renewable sources: Current perspectives and technological progress," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 475-501.
    21. Bibi, Riaz & Ahmad, Zulfiqar & Imran, Muhammad & Hussain, Sabir & Ditta, Allah & Mahmood, Shahid & Khalid, Azeem, 2017. "Algal bioethanol production technology: A trend towards sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 976-985.
    22. Mohammad S. Roni & Sandra D. Eksioglu & Kara G. Cafferty & Jacob J. Jacobson, 2017. "A multi-objective, hub-and-spoke model to design and manage biofuel supply chains," Annals of Operations Research, Springer, vol. 249(1), pages 351-380, February.
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