Beyond the “bottom-up” and “top-down” controversy: A methodological inquiry into hybrid modeling methods for hydrogen supply chains

Pierre Cayet, Azzaro-Pantel Catherine (), Sylvain Bourjade and Catherine Muller-Vibes
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Pierre Cayet: Persée - ENS de Lyon - École normale supérieure de Lyon - Université de Lyon - Université de Lyon - CNRS - Centre National de la Recherche Scientifique
Azzaro-Pantel Catherine: LGC - Laboratoire de Génie Chimique - UT3 - Université Toulouse III - Paul Sabatier - UT - Université de Toulouse - CNRS - Centre National de la Recherche Scientifique - Toulouse INP - Institut National Polytechnique (Toulouse) - UT - Université de Toulouse
Catherine Muller-Vibes: TBS - Toulouse Business School

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Abstract: Following the fast growth of the hydrogen economy, properly modelling the Hydrogen Supply Chain (HSC) becomes pivotal for a successful take-off. While recent review papers focus on the Bottom-Up hydrogen literature, this paper is the first to our knowledge to include Top-down approaches into a complete assessment of the models and mathematical formulations used to answer a variety of hydrogen-related research questions. Based on a thorough analysis of modeling choices and tools found in the HSC literature, we provide a refined classification of research papers through clustering and discriminant analysis. Using original measurement methods, we quantify the difficulty of associating existing modelling choices within a single methodology and identify opportunities and methodological blind spots for the hybridization of HSC-related research approaches.

Keywords: Hydrogen supply chain; Clustering analysis; Discriminant analysis; Hybrid models (search for similar items in EconPapers)
Date: 2023
Note: View the original document on HAL open archive server: https://hal.science/hal-04294432v1
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Published in International Journal of Production Economics, 2023, 268, pp.109091. ⟨10.1016/j.ijpe.2023.109091⟩

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Journal Article: Beyond the “bottom-up” and “top-down” controversy: A methodological inquiry into hybrid modeling methods for hydrogen supply chains (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04294432

DOI: 10.1016/j.ijpe.2023.109091

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