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Fuel Cells Based on Natural Polysaccharides for Rail Vehicle Application

Author

Listed:
  • Paweł Daszkiewicz

    (Łukasiewicz Research Network–Rail Vehicles Institute “TABOR”, ul. Warszawska 181, 61-055 Poznań, Poland)

  • Beata Kurc

    (Faculty of Chemical Technology, Poznan University of Technology, ul. Berdychowo 4, 60-965 Poznań, Poland)

  • Marita Pigłowska

    (Faculty of Chemical Technology, Poznan University of Technology, ul. Berdychowo 4, 60-965 Poznań, Poland)

  • Maciej Andrzejewski

    (Łukasiewicz Research Network–Rail Vehicles Institute “TABOR”, ul. Warszawska 181, 61-055 Poznań, Poland)

Abstract

This manuscript shows the use of natural polysaccharides such as starch and cellulose as a carbon source for fuel cells. To achieve this, two innovative methods of obtaining hydrogen have been shown: by adsorption and by enzyme. The carbonization path of the material results in excellent sorption properties and allows gas with high efficiency to be obtained. The enzymatic method for the degradation of the compound is more expensive because specific enzymes (such as laccase, tyrosinase) must be used, but it allows greater control of the properties of the obtained material. A scientific novelty is the use of natural raw materials, the use of which increases the biodegradability of the electrochemical system and also reduces the cost of raw materials and increases the range of their acquisition. Energy should be generated where it is used. Another goal is decentralization, and thanks to the proposed solutions, hydrogen cells represent an innovative alternative to today’s energy giants—also for independent power supply to households. The proposed harvesting paths are intended to drive rail vehicles in order to reduce emissions and secondary pollution of the environment. The goals of both methods were easy recycling, high efficiency, increased environmental friendliness, low cost and a short hydrogen production path.

Suggested Citation

  • Paweł Daszkiewicz & Beata Kurc & Marita Pigłowska & Maciej Andrzejewski, 2021. "Fuel Cells Based on Natural Polysaccharides for Rail Vehicle Application," Energies, MDPI, vol. 14(4), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1144-:d:503292
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    References listed on IDEAS

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    1. Du, Guodong & Zou, Yuan & Zhang, Xudong & Liu, Teng & Wu, Jinlong & He, Dingbo, 2020. "Deep reinforcement learning based energy management for a hybrid electric vehicle," Energy, Elsevier, vol. 201(C).
    2. Edwards, P.P. & Kuznetsov, V.L. & David, W.I.F. & Brandon, N.P., 2008. "Hydrogen and fuel cells: Towards a sustainable energy future," Energy Policy, Elsevier, vol. 36(12), pages 4356-4362, December.
    3. Abbasi, Tasneem & Abbasi, S.A., 2011. "'Renewable' hydrogen: Prospects and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 3034-3040, August.
    4. Hosseini, Seyed Ehsan & Wahid, Mazlan Abdul, 2016. "Hydrogen production from renewable and sustainable energy resources: Promising green energy carrier for clean development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 850-866.
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