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Exploring Future Promising Technologies in Hydrogen Fuel Cell Transportation

Author

Listed:
  • Hyewon Yang

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

  • Young Jae Han

    (Railroad Test & Certification Division, Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang 16105, Korea)

  • Jiwon Yu

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

  • Sumi Kim

    (Department of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

  • Sugil Lee

    (Smart Electrical and Signaling Division, Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang 16105, Korea)

  • Gildong Kim

    (Smart Electrical and Signaling Division, Korea Railroad Research Institute, 176 Cheoldobangmulgwan-ro, Uiwang 16105, Korea)

  • Chulung Lee

    (School of Industrial and Management Engineering, Korea University, 145 Anam-ro, Seongbuk, Seoul 02841, Korea)

Abstract

The purpose of this research was to derive promising technologies for the transport of hydrogen fuel cells, thereby supporting the development of research and development policy and presenting directions for investment. We also provide researchers with information about technology that will lead the technology field in the future. Hydrogen energy, as the core of carbon neutral and green energy, is a major issue in changing the future industrial structure and national competitive advantage. In this study, we derived promising technology at the core of future hydrogen fuel cell transportation using the published US patent and paper databases (DB). We first performed text mining and data preprocessing and then discovered promising technologies through generative topographic mapping analysis. We analyzed both the patent DB and treatise DB in parallel and compared the results. As a result, two promising technologies were derived from the patent DB analysis, and five were derived from the paper DB analysis.

Suggested Citation

  • Hyewon Yang & Young Jae Han & Jiwon Yu & Sumi Kim & Sugil Lee & Gildong Kim & Chulung Lee, 2022. "Exploring Future Promising Technologies in Hydrogen Fuel Cell Transportation," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:917-:d:724633
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    References listed on IDEAS

    as
    1. Maik Schneider & Burkhard Schade, 2003. "Innovation Process "Fuel Cell Vehicle": What Strategy Promises To Be Most Successful?," Computing in Economics and Finance 2003 166, Society for Computational Economics.
    2. Ioan-Sorin Sorlei & Nicu Bizon & Phatiphat Thounthong & Mihai Varlam & Elena Carcadea & Mihai Culcer & Mariana Iliescu & Mircea Raceanu, 2021. "Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies," Energies, MDPI, vol. 14(1), pages 1-29, January.
    3. Wang, Hanqing & Gaillard, Arnaud & Hissel, Daniel, 2019. "A review of DC/DC converter-based electrochemical impedance spectroscopy for fuel cell electric vehicles," Renewable Energy, Elsevier, vol. 141(C), pages 124-138.
    4. İnci, Mustafa & Büyük, Mehmet & Demir, Mehmet Hakan & İlbey, Göktürk, 2021. "A review and research on fuel cell electric vehicles: Topologies, power electronic converters, energy management methods, technical challenges, marketing and future aspects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
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    Cited by:

    1. Seok Jin Youn & Yong-Jae Lee & Ha-Eun Han & Chang-Woo Lee & Donggyun Sohn & Chulung Lee, 2024. "A Data Analytics and Machine Learning Approach to Develop a Technology Roadmap for Next-Generation Logistics Utilizing Underground Systems," Sustainability, MDPI, vol. 16(15), pages 1-32, August.
    2. Eugeniusz Mokrzycki & Lidia Gawlik, 2024. "The Development of a Green Hydrogen Economy: Review," Energies, MDPI, vol. 17(13), pages 1-29, June.
    3. Yong-Jae Lee & Young Jae Han & Sang-Soo Kim & Chulung Lee, 2022. "Patent Data Analytics for Technology Forecasting of the Railway Main Transformer," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    4. Jongbin Woo & Younghyeon Kim & Sangseok Yu, 2023. "Cooling-System Configurations of a Dual-Stack Fuel-Cell System for Medium-Duty Trucks," Energies, MDPI, vol. 16(5), pages 1-19, February.

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