Designing and long-term planning for household hydrogen supply chain in Australia

Chakrabarty, P; Paul, SK; Trianni, A; Saha, SC

Designing and long-term planning for household hydrogen supply chain in Australia

Chakrabarty, P

Paul, SK Trianni, A

Saha, SC

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Cleaner Logistics and Supply Chain, 2025, 17
Issue Date:: 2025-12

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Field	Value	Language
dc.contributor.author	Chakrabarty, P https://orcid.org/0009-0005-6010-2548
dc.contributor.author	Paul, SK
dc.contributor.author	Trianni, A https://orcid.org/0000-0002-1699-7787
dc.contributor.author	Saha, SC
dc.date.accessioned	2026-01-14T00:10:29Z
dc.date.available	2026-01-14T00:10:29Z
dc.date.issued	2025-12
dc.identifier.citation	Cleaner Logistics and Supply Chain, 2025, 17
dc.identifier.issn	2772-3909
dc.identifier.uri	http://hdl.handle.net/10453/191769
dc.description.abstract	This study presents the development of the long-term Household Hydrogen Supply Chain (HHSC) model, aimed at supporting the decarbonisation of household energy consumption. Structured across three strategic phases: foundation, expansion, and maturation, the model facilitates the systematic phase-out of liquefied petroleum gas (LPG) by 2045 and natural gas (NG) by 2080. Employing demand estimation methodologies grounded in historical data and exponential decay functions, the study forecasts long-term hydrogen adoption trajectories and allocates regional demand to optimise infrastructure placement. A network optimisation model identifies the optimal locations and capacities of national, regional, and local distribution centres (NDCs, RDCs, and LDCs). This staged development ensures operational scalability, geographic equity, and financial viability. A key finding is the substantial increase in profitability from $479 million in 2026 to $88.26 billion by 2090, driven by infrastructure growth and increasing hydrogen demand. Sensitivity analyses indicate that the adoption during the mid years (2040–2060) is particularly vulnerable to cost fluctuations. The model supports net-zero 2050 goals and aligns with several Sustainable Development Goals (SDGs), including SDGs 7, 9, and 13. While the HHSC provides a structured pathway for long-term hydrogen transition, future research should focus on enhancing the resilience of the HHSC by incorporating real-time data integration, assessing vulnerability to supply chain disruptions, and developing risk mitigation strategies to ensure continuity and scalability in hydrogen delivery under uncertain operating conditions.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Cleaner Logistics and Supply Chain
dc.relation.isbasedon	10.1016/j.clscn.2025.100283
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Designing and long-term planning for household hydrogen supply chain in Australia
dc.type	Journal Article
utslib.citation.volume	17
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Business School
pubs.organisational-group	University of Technology Sydney/Business School/Management Discipline
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Advanced Manufacturing (CAM)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Business Intelligence and Data Analytics (BIDA)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Advanced Modelling and Geospatial lnformation Systems (CAMGIS)
pubs.organisational-group	University of Technology Sydney/UTS Groups/Centre for Business Intelligence and Data Analytics (BIDA)/Centre for Business Intelligence and Data Analytics (BIDA) Associate Members
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/Engineering and IT Related HDR Students
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/
dc.date.updated	2026-01-14T00:10:27Z
pubs.publication-status	Published
pubs.volume	17

Abstract:

This study presents the development of the long-term Household Hydrogen Supply Chain (HHSC) model, aimed at supporting the decarbonisation of household energy consumption. Structured across three strategic phases: foundation, expansion, and maturation, the model facilitates the systematic phase-out of liquefied petroleum gas (LPG) by 2045 and natural gas (NG) by 2080. Employing demand estimation methodologies grounded in historical data and exponential decay functions, the study forecasts long-term hydrogen adoption trajectories and allocates regional demand to optimise infrastructure placement. A network optimisation model identifies the optimal locations and capacities of national, regional, and local distribution centres (NDCs, RDCs, and LDCs). This staged development ensures operational scalability, geographic equity, and financial viability. A key finding is the substantial increase in profitability from $479 million in 2026 to $88.26 billion by 2090, driven by infrastructure growth and increasing hydrogen demand. Sensitivity analyses indicate that the adoption during the mid years (2040–2060) is particularly vulnerable to cost fluctuations. The model supports net-zero 2050 goals and aligns with several Sustainable Development Goals (SDGs), including SDGs 7, 9, and 13. While the HHSC provides a structured pathway for long-term hydrogen transition, future research should focus on enhancing the resilience of the HHSC by incorporating real-time data integration, assessing vulnerability to supply chain disruptions, and developing risk mitigation strategies to ensure continuity and scalability in hydrogen delivery under uncertain operating conditions.

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