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From waste to hydrogen: An optimal design of energy production and distribution network

Author

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  • Parker, Nathan
  • Fan, Yueyue
  • Ogden, Joan

Abstract

This paper focuses on evaluating the economic potential and infrastructure requirements of hydrogen production from agricultural residues, a representative green energy pathway. A mixed-integer nonlinear programming model is constructed for finding the most efficient and economical configuration of the whole pathway. Using northern California case studies, we found that hydrogen from agricultural wastes can be delivered at costs similar to producing hydrogen from natural gas, a non-renewable energy source. The potential impact of this energy pathway on local freight transport is also discussed depending on the choice of hydrogen delivery mode.

Suggested Citation

  • Parker, Nathan & Fan, Yueyue & Ogden, Joan, 2010. "From waste to hydrogen: An optimal design of energy production and distribution network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(4), pages 534-545, July.
    • Handle: RePEc:eee:transe:v:46:y:2010:i:4:p:534-545
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    Citations

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    Cited by:

    1. Kate, Joeri ten & Teunter, Ruud & Kusumastuti, Ratih Dyah & van Donk, Dirk Pieter, 2017. "Bio-diesel production using mobile processing units: A case in Indonesia," Agricultural Systems, Elsevier, vol. 152(C), pages 121-130.
    2. Natarajan, Karthikeyan & Leduc, Sylvain & Pelkonen, Paavo & Tomppo, Erkki & Dotzauer, Erik, 2014. "Optimal locations for second generation Fischer Tropsch biodiesel production in Finland," Renewable Energy, Elsevier, vol. 62(C), pages 319-330.
    3. Sungmi Bae & Eunhan Lee & Jinil Han, 2020. "Multi-Period Planning of Hydrogen Supply Network for Refuelling Hydrogen Fuel Cell Vehicles in Urban Areas," Sustainability, MDPI, vol. 12(10), pages 1-23, May.
    4. Li, Lei & Manier, Hervé & Manier, Marie-Ange, 2019. "Hydrogen supply chain network design: An optimization-oriented review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 342-360.
    5. Miranda, Pablo A. & Blazquez, Carola A. & Vergara, Rodrigo & Weitzler, Sebastian, 2015. "A novel methodology for designing a household waste collection system for insular zones," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 227-247.
    6. Sgarbossa, Fabio & Arena, Simone & Tang, Ou & Peron, Mirco, 2023. "Renewable hydrogen supply chains: A planning matrix and an agenda for future research," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Lane, Blake & Kinnon, Michael Mac & Shaffer, Brendan & Samuelsen, Scott, 2022. "Deployment planning tool for environmentally sensitive heavy-duty vehicles and fueling infrastructure," Energy Policy, Elsevier, vol. 171(C).
    8. Liu, Qingyu & Shen, Bin & Wen, Xin, 2023. "Role of climate-smart agriculture in fighting against climate change in competitive supply chains," International Journal of Production Economics, Elsevier, vol. 264(C).
    9. Sgarbossa, Fabio & Arena, Simone & Tang, Ou & Peron, Mirco, 2022. "Reprint of: Renewable hydrogen supply chains: A planning matrix and an agenda for future research," International Journal of Production Economics, Elsevier, vol. 250(C).
    10. 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.
    11. Yueyue Fan & Allen Lee & Nathan Parker & Daniel Scheitrum & Rosa Dominguez-Faus & Amy Myers Jaffe & Kenneth Medlock III, 2017. "Geospatial, Temporal and Economic Analysis of Alternative Fuel Infrastructure: The case of freight and U.S. natural gas markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    12. Kusumastuti, Ratih Dyah & Donk, Dirk Pieter van & Teunter, Ruud, 2016. "Crop-related harvesting and processing planning: a review," International Journal of Production Economics, Elsevier, vol. 174(C), pages 76-92.
    13. Hu, Hao & Lin, Tao & Wang, Shaowen & Rodriguez, Luis F., 2017. "A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization," Applied Energy, Elsevier, vol. 203(C), pages 26-40.

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