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Design tool for offgrid hydrogen refuelling systems for aerospace applications

Author

Listed:
  • Troncoso, E.
  • Lapeña-Rey, N.
  • Gonzalez, M.

Abstract

To develop an environmentally acceptable refuelling solution for fuel cell-powered unmanned aerial systems (UASs) to operate in remote areas, hydrogen fuel must be produced on-site from renewable energy sources. This paper describes a Matlab-based simulation tool specifically developed to pre-design offgrid hydrogen refuelling systems for UAS applications. The refuelling system comprises a high concentrated PV array (CPV), an electrolyser, a hydrogen buffer tank and a diaphragm hydrogen compressor. Small composite tanks are also included for fast refuelling of the UAV platforms at any time during the year. The novel approach of selecting a CPV power source is justified on the basis of minimizing the system footprint (versus flat plat or low concentration PV), aiming for a containerized remotely deployable UAS offgrid refuelling solution.

Suggested Citation

  • Troncoso, E. & Lapeña-Rey, N. & Gonzalez, M., 2016. "Design tool for offgrid hydrogen refuelling systems for aerospace applications," Applied Energy, Elsevier, vol. 163(C), pages 476-487.
    • Handle: RePEc:eee:appene:v:163:y:2016:i:c:p:476-487
    DOI: 10.1016/j.apenergy.2015.05.026
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    References listed on IDEAS

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    1. Kyriakarakos, George & Dounis, Anastasios I. & Rozakis, Stelios & Arvanitis, Konstantinos G. & Papadakis, George, 2011. "Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel," Applied Energy, Elsevier, vol. 88(12), pages 4517-4526.
    2. Hong, Hui & Liu, Qibin & Jin, Hongguang, 2012. "Operational performance of the development of a 15kW parabolic trough mid-temperature solar receiver/reactor for hydrogen production," Applied Energy, Elsevier, vol. 90(1), pages 137-141.
    3. Khan, M.J. & Iqbal, M.T., 2009. "Analysis of a small wind-hydrogen stand-alone hybrid energy system," Applied Energy, Elsevier, vol. 86(11), pages 2429-2442, November.
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    Cited by:

    1. Qi, Yunying & Xu, Xiao & Liu, Youbo & Pan, Li & Liu, Junyong & Hu, Weihao, 2024. "Intelligent energy management for an on-grid hydrogen refueling station based on dueling double deep Q network algorithm with NoisyNet," Renewable Energy, Elsevier, vol. 222(C).
    2. Sato, Daisuke & Yamagata, Yuki & Hirata, Kenji & Yamada, Noboru, 2020. "Mathematical power-generation model of a four-terminal partial concentrator photovoltaic module for optimal sun-tracking strategy," Energy, Elsevier, vol. 213(C).
    3. Grüger, Fabian & Dylewski, Lucy & Robinius, Martin & Stolten, Detlef, 2018. "Carsharing with fuel cell vehicles: Sizing hydrogen refueling stations based on refueling behavior," Applied Energy, Elsevier, vol. 228(C), pages 1540-1549.

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