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Multi-site and multi-period optimization model for strategic planning of a renewable hydrogen energy network from biomass waste and energy crops

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  • Cho, Seolhee
  • Kim, Jiyong

Abstract

This study proposes an optimization-based approach for strategically planning a biomass-based hydrogen energy network. In achieving this goal, the superstructure of a biomass-based hydrogen energy system is proposed, which includes different biomass resources (biomass waste and energy crops) and various technologies (production, storage and terminal, refueling station, and transportation). A multi-site and multi-period optimization model is then developed using a mixed integer linear programming to determine the optimal investment timing and regional allocation alongside the selection of proper biomass types and technology combinations. The capability of the proposed approach is validated through a case study of Jeju Island, Korea. As a result, it was identified that the optimal network configuration as well as the investment and operation strategies are determined by the biomass type and regional biomass availability. In addition, the sustainability of the proposed energy system was analyzed using the criteria such as energy security and environmental protection, as well as economics.

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  • 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.
    • Handle: RePEc:eee:energy:v:185:y:2019:i:c:p:527-540
    DOI: 10.1016/j.energy.2019.07.053
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    Cited by:

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    6. Guo, Zhongjie & Wei, Wei & Chen, Laijun & Zhang, Xiaoping & Mei, Shengwei, 2021. "Equilibrium model of a regional hydrogen market with renewable energy based suppliers and transportation costs," Energy, Elsevier, vol. 220(C).
    7. Zhou, Jianli & Wu, Yunna & Tao, Yao & Gao, Jianwei & Zhong, Zhiming & Xu, Chuanbo, 2021. "Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China," Energy, Elsevier, vol. 225(C).
    8. Xu, Chuanbo & Wu, Yunna & Dai, Shuyu, 2020. "What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach," Energy Policy, Elsevier, vol. 142(C).

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