Exploring Future Promising Technologies in Hydrogen Fuel Cell Transportation

Hyewon Yang, Young Jae Han, Jiwon Yu, Sumi Kim, Sugil Lee, Gildong Kim and Chulung Lee
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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

Sustainability, 2022, vol. 14, issue 2, 1-19

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.

Keywords: hydrogen energy; fuel cell vehicle; promising technology; patent analysis; research paper analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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