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Sustainable energy from biomass: Biomethane manufacturing plant location and distribution problem

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  • Wu, Bingqing
  • Sarker, Bhaba R.
  • Paudel, Krishna P.

Abstract

As an environment-friendly and renewable energy source, biomethane plays a significant role in the supply of sustainable energy. To facilitate the decision-making process of where to build a biomethane production system (BMPS) and how to allocate the resources for the BMPS, this paper develops an analytical method to find the solutions to location and allocation problems by minimizing the supply chain cost of the BMPS. The BMPS consists of the local farms for providing feedstock, the hubs for collecting and storing feedstock from farms, and the reactors for producing biomethane from feedstock. A mixed integer nonlinear programming (MINLP) is introduced to model the supply chain by considering building, transportation, and labor costs. An alternative heuristic is proposed to obtain an optimal/sub-optimal solution from the MINLP. The validity of the proposed heuristic is proven by numerical examples that are abstracted from practical scenarios.

Suggested Citation

  • Wu, Bingqing & Sarker, Bhaba R. & Paudel, Krishna P., 2015. "Sustainable energy from biomass: Biomethane manufacturing plant location and distribution problem," Applied Energy, Elsevier, vol. 158(C), pages 597-608.
    • Handle: RePEc:eee:appene:v:158:y:2015:i:c:p:597-608
    DOI: 10.1016/j.apenergy.2015.08.080
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    Cited by:

    1. Ma, Qiuzhuo & Paudel, Krishna P. & Cui, Luqi, 2018. "A multi-objective optimization problem for using poultry litter in electricity production," Applied Energy, Elsevier, vol. 228(C), pages 1220-1242.
    2. Rotunno, Paolo & Lanzini, Andrea & Leone, Pierluigi, 2017. "Energy and economic analysis of a water scrubbing based biogas upgrading process for biomethane injection into the gas grid or use as transportation fuel," Renewable Energy, Elsevier, vol. 102(PB), pages 417-432.
    3. Buffat, René & Raubal, Martin, 2019. "Spatio-temporal potential of a biogenic micro CHP swarm in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 443-454.
    4. Khishtandar, Soheila, 2019. "Simulation based evolutionary algorithms for fuzzy chance-constrained biogas supply chain design," Applied Energy, Elsevier, vol. 236(C), pages 183-195.
    5. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    6. 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.
    7. Horschig, Thomas & Adams, Paul W.R. & Röder, Mirjam & Thornley, Patricia & Thrän, Daniela, 2016. "Reasonable potential for GHG savings by anaerobic biomethane in Germany and UK derived from economic and ecological analyses," Applied Energy, Elsevier, vol. 184(C), pages 840-852.
    8. Mobtaker, A. & Ouhimmou, M. & Audy, J.-F. & Rönnqvist, M., 2021. "A review on decision support systems for tactical logistics planning in the context of forest bioeconomy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    9. Sarker, Bhaba R. & Wu, Bingqing & Paudel, Krishna P., 2019. "Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location," Applied Energy, Elsevier, vol. 239(C), pages 343-355.

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