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Dynamic optimization for hydrogen pipeline network operations

delete2026-04-07
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PRE
AI
S
Sophia B. Shi
B
Brian A. Korgel
M
Michael Bâldea *
DOI:10.1016/j.compchemeng.2026.109655delete
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Abstract

Abstract

En 中文
As hydrogen production and use mature, a cost-effective distribution infrastructure is essential to balance fluctuating supply with demand from transportation, industrial, and power generation applications. Pipelines are an ideal high-capacity, long-distance hydrogen gas transport option, with pressurized gas (linepack) providing short-term storage. Existing techno-economic analyses (TEAs) of hydrogen pipelines assume steady-state compressor operation, and cannot capture linepack and compressor dynamics, or the operational flexibility required under variable demand. We report the first dynamic optimization framework for hydrogen pipeline transmission networks. The framework leverages a comprehensive system model (Euler gas flow equations, compressor control and economic analysis), that is validated against commercial process simulators. Case studies evaluate several operational strategies on networks of increasing complexity subject to realistic stepwise and peak-demand events. The results show 0.8–6.2% lower energy consumption and 0.4–2.8% reduction in the cost of hydrogen, relative to the case of constant compressor discharge pressures.
Keywords:
hydrogen pipeline
dynamic optimization
compressor operation
linepack
operational flexibility

Journal

C
COMPUTERS & CHEMICAL ENGINEERING
IF:
3.9
Papers:
176
Citations:
0

Organization

T
the university of texas at austin
Scholars:
1.1K
Papers: 465
Citations: 0