Hammond, J., Rosenberg, M. and Brown, S. orcid.org/0000-0001-8229-8004 (2025) Understanding costs in hydrogen infrastructure networks: a multi-stage approach for spatially-aware pipeline design. International Journal of Hydrogen Energy, 102. pp. 430-443. ISSN 0360-3199
Abstract
The emergence and design of hydrogen transport infrastructures are crucial steps towards the development of a hydrogen economy. However, pipeline routing remains underdeveloped in hydrogen infrastructure design models, despite its significant impact on the resultant cost and network configuration. Many previous studies assume uniform cost surfaces on which pipelines are designed. Studies that consider a variable cost surface focus on designing candidate networks rather than bespoke routes for a given infrastructure. This study proposes a novel multi-stage approach based on a graph-based Steiner tree with Obstacles Genetic Algorithm (StObGA) to route pipelines on a complex cost surface for multi-source multi-sink hydrogen networks. The application of StObGA results in cost savings of 20–40% compared to alternative graph-based methods that assume uniform cost surfaces. Furthermore, this publication presents an in-depth methodological comparative analysis of different pipeline routing and sizing methods used in the literature and discusses their impact. Finally, we demonstrate how this model can generate design variations and provide practical insights to inform industry and policymakers.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Hydrogen Infrastructure; Pipeline Routing with Obstacles; Pipeline Design Optimisation; Genetic Algorithm; GIS; Industrial Clusters |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Chemical, Materials and Biological Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Jan 2025 12:13 |
Last Modified: | 20 Jan 2025 11:53 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ijhydene.2024.12.273 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220860 |