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A Stochastic Optimization Model for Sustainable Multimodal Transportation for Bioenergy Production

Author

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  • Sangpil Ko

    (Korea Railroad Research Institute, Uiwang-si 16105, Gyeonggi-do, Korea)

  • Kyoungjoon Choi

    (Korea Railroad Research Institute, Uiwang-si 16105, Gyeonggi-do, Korea)

  • Seungmin Yu

    (Korea Railroad Research Institute, Uiwang-si 16105, Gyeonggi-do, Korea)

  • Jun Lee

    (Korea Railroad Research Institute, Uiwang-si 16105, Gyeonggi-do, Korea)

Abstract

While many previous studies have suggested well-defined procedures to find appropriate supply chains, a limited number of studies have been conducted with uncertain values relating to transportation costs. Most of these have included only limited detail on multimodal transportation, or have not considered economic, social, and environmental transportation cost factors together. The main purpose of this study is to suggest a multi-objective stochastic model for sustainable biomass transportation, and to identify the impact level of model selection on the transportation mode. It begins with a deterministic formulation of sustainable transportation, which is then modified to a stochastic problem with vectorization of cost parameters. Based on the model developed, we examined four uncertainty cases from a combination of annual capacity and average distance of biomass transportation. The experimental results provide more cost savings from multimodal transportation, which can be identified if we analyze transportation costs with stochastic modeling. Regarding short-distance plant cases, the study reveals that the impact of the utilization of stochastic methods is insignificant, as the costs savings from multimodal transportation is trivial. Other findings from the experiments show that multimodal transportation could provide cost savings in the economic cost factor, except in the case of low annual capacity and short average distance.

Suggested Citation

  • Sangpil Ko & Kyoungjoon Choi & Seungmin Yu & Jun Lee, 2022. "A Stochastic Optimization Model for Sustainable Multimodal Transportation for Bioenergy Production," Sustainability, MDPI, vol. 14(3), pages 1-21, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1889-:d:743697
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    References listed on IDEAS

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    1. Osmani, Atif & Zhang, Jun, 2014. "Optimal grid design and logistic planning for wind and biomass based renewable electricity supply chains under uncertainties," Energy, Elsevier, vol. 70(C), pages 514-528.
    2. Poudel, Sushil Raj & Marufuzzaman, Mohammad & Bian, Linkan, 2016. "A hybrid decomposition algorithm for designing a multi-modal transportation network under biomass supply uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 1-25.
    3. Sosa, Amanda & Acuna, Mauricio & McDonnell, Kevin & Devlin, Ger, 2015. "Managing the moisture content of wood biomass for the optimisation of Ireland's transport supply strategy to bioenergy markets and competing industries," Energy, Elsevier, vol. 86(C), pages 354-368.
    4. Gonzales, Daniela & Searcy, Erin M. & Ekşioğlu, Sandra D., 2013. "Cost analysis for high-volume and long-haul transportation of densified biomass feedstock," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 48-61.
    5. Devlin, Ger & Talbot, Bruce, 2014. "Deriving cooperative biomass resource transport supply strategies in meeting co-firing energy regulations: A case for peat and wood fibre in Ireland," Applied Energy, Elsevier, vol. 113(C), pages 1700-1709.
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    Cited by:

    1. Pimnapa Pongsayaporn & Thanwadee Chinda, 2022. "Long-Term Strategies for Multimodal Transportation of Block Rubber in Thailand," Sustainability, MDPI, vol. 14(22), pages 1-20, November.

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