The Creation of the Hydrogen Supply Chain Decision Database

Lei Li (), Souhayl Msaadi, Hervé Manier and Marie-Ange Manier
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Lei Li: School of Economics and Management, Shaanxi University of Science and Technology, University Park of Weiyang District, Xi’an 710021, China
Souhayl Msaadi: School of Economics and Management, Shaanxi University of Science and Technology, University Park of Weiyang District, Xi’an 710021, China
Hervé Manier: UTBM, CNRS, Institut FEMTO-ST, F-90010 Belfort, France
Marie-Ange Manier: UTBM, CNRS, Institut FEMTO-ST, F-90010 Belfort, France

Energies, 2023, vol. 16, issue 24, 1-21

Abstract: In the evolving landscape of sustainable energy, efficient management of the hydrogen supply chain is paramount. This study addressed the critical need for decision-making support in this sector, highlighting the development and potential impact of a comprehensive hydrogen supply chain decision database. Utilizing a combination of qualitative and quantitative research methods, the study involved the collection and analysis of data across various stages of the hydrogen supply chain. Emphasis was placed on identifying key decision-making factors, integrating diverse data sources, and employing advanced analytical techniques to enhance the database’s utility. The findings revealed significant insights into the hydrogen supply chain, including bottlenecks, efficiency parameters, and potential areas for optimization. The developed database demonstrated its capability to aid in strategic decision making, offering a tool for stakeholders to navigate the complexities of hydrogen supply and distribution. The creation of the hydrogen supply chain decision database marks a step forward in the field, providing a valuable resource for researchers, policymakers, and industry professionals. It underscores the necessity of data-driven approaches in optimizing the hydrogen supply chain, potentially contributing to the acceleration of sustainable energy initiatives.

Keywords: hydrogen supply chain; optimization; decision database; energy modeling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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