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arXiv · 2505.13918

Designing a Multi-Period Model for Economic and Low-Carbon Hydrogen Transportation in Texas

Yixuan Huang·Kailai Wang·Jian Shi
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Abstract

The transition to hydrogen powered transportation requires regionally tailored yet scalable infrastructure planning. This study presents the first Texas specific, multi-period mixed integer optimization model for hydrogen transportation from 2025 to 2050, addressing challenges in infrastructure phasing, asset coordination, and multimodal logistics. The framework introduces three innovations: (1) phased deployment with delayed investment constraints, (2) dynamic modeling of fleet aging and replacement, and (3) a clustering-based hub structure enabling adaptive two-stage hydrogen delivery. Simulations show pipeline deployment supports up to 94.8% of hydrogen flow by 2050 under high demand, reducing transport costs by 23% compared to vehicle-based systems. However, one-year construction delays reduce pipeline coverage by over 60%, shifting reliance to costlier road transport. While the study focuses on Texas, its modular design and adaptable inputs apply to other regions. It provides a tool for policy makers and stakeholders to manage hydrogen transitions under logistical and economic constraints.

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Yixuan Huang, Kailai Wang, Jian Shi. 2025-05-20. Designing a Multi-Period Model for Economic and Low-Carbon Hydrogen Transportation in Texas. https://arxiv.org/abs/2505.13918

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