The decarbonization potential of hydrogen as a clean energy carrier has positioned it as a critical component of future energy systems. This study addresses the infrastructure planning gap in Texas by focusing on the optimization of hydrogen transportation systems to support the scalable deployment of green hydrogen. Unique to this work is the integration of system-level cost modeling, emissions analysis, and supply-demand spatial alignment, evaluating both direct and hub-based distribution models. The project introduces an optimization framework that assesses four primary transportation modes—pipelines, liquid trucks, tube trailers, and hydrogen carriers—under varying demand, distance, and construction timelines. Through simulation-based scenario analysis, the study demonstrates that pipeline infrastructure offers the highest long-term environmental and economic benefits, particularly in high-demand or long-distance transport cases. Constraints such as vehicle capacities, carbon intensity, and capital investment timelines were integrated to reflect real-world limitations. The results inform strategic decisions on infrastructure investment and emission control, contributing to policy and planning efforts aimed at reducing hydrogen supply chain costs and associated greenhouse gas emissions in Texas. This research was conducted in collaboration with the University of Houston and the Energy Transition Institute (ETI), supporting knowledge dissemination and real-world impact.

Guest Speakers

Speaker: Jian Shi
Associate Professor, Electrical Power Engineering Technology

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