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Main Authors: Asghari, Mohammad, Afshari, Hamid, Jaber, Mohamad Y, Searcy, Cory
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.22690
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author Asghari, Mohammad
Afshari, Hamid
Jaber, Mohamad Y
Searcy, Cory
author_facet Asghari, Mohammad
Afshari, Hamid
Jaber, Mohamad Y
Searcy, Cory
contents The global energy landscape is experiencing a transformative shift, with an increasing emphasis on sustainable and clean energy sources. Hydrogen remains a promising candidate for decarbonization, energy storage, and as an alternative fuel. This study explores the landscape of hydrogen pricing and demand dynamics by evaluating three collaboration scenarios: market-based pricing, cooperative integration, and coordinated decision-making. It incorporates price-sensitive demand, environmentally friendly production methods, and market penetration effects, to provide insights into maximizing market share, profitability, and sustainability within the hydrogen industry. This study contributes to understanding the complexities of collaboration by analyzing those structures and their role in a fast transition to clean hydrogen production by balancing economic viability and environmental goals. The findings reveal that the cooperative integration strategy is the most effective for sustainable growth, increasing green hydrogen's market share to 19.06 % and highlighting the potential for environmentally conscious hydrogen production. They also suggest that the coordinated decision-making approach enhances profitability through collaborative tariff contracts while balancing economic viability and environmental goals. This study also underscores the importance of strategic pricing mechanisms, policy alignment, and the role of hydrogen hubs in achieving sustainable growth in the hydrogen sector. By highlighting the uncertainties and potential barriers, this research offers actionable guidance for policymakers and industry players in shaping a competitive and sustainable energy marketplace.
format Preprint
id arxiv_https___arxiv_org_abs_2506_22690
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Strategic analysis of hydrogen market dynamics across collaboration models
Asghari, Mohammad
Afshari, Hamid
Jaber, Mohamad Y
Searcy, Cory
Applications
Computation
Methodology
The global energy landscape is experiencing a transformative shift, with an increasing emphasis on sustainable and clean energy sources. Hydrogen remains a promising candidate for decarbonization, energy storage, and as an alternative fuel. This study explores the landscape of hydrogen pricing and demand dynamics by evaluating three collaboration scenarios: market-based pricing, cooperative integration, and coordinated decision-making. It incorporates price-sensitive demand, environmentally friendly production methods, and market penetration effects, to provide insights into maximizing market share, profitability, and sustainability within the hydrogen industry. This study contributes to understanding the complexities of collaboration by analyzing those structures and their role in a fast transition to clean hydrogen production by balancing economic viability and environmental goals. The findings reveal that the cooperative integration strategy is the most effective for sustainable growth, increasing green hydrogen's market share to 19.06 % and highlighting the potential for environmentally conscious hydrogen production. They also suggest that the coordinated decision-making approach enhances profitability through collaborative tariff contracts while balancing economic viability and environmental goals. This study also underscores the importance of strategic pricing mechanisms, policy alignment, and the role of hydrogen hubs in achieving sustainable growth in the hydrogen sector. By highlighting the uncertainties and potential barriers, this research offers actionable guidance for policymakers and industry players in shaping a competitive and sustainable energy marketplace.
title Strategic analysis of hydrogen market dynamics across collaboration models
topic Applications
Computation
Methodology
url https://arxiv.org/abs/2506.22690