Optimizing design and performance assessment of a sustainability hydrogen supply chain network: A multi-period model for China

•A spatiotemporal-resolved optimization model is proposed to design HSC.•A sustainable principle based on Markov chain is innovatively introduced.•The infrastructure plans can be hierarchically assessed in time-associated steps.•The presented model is verified through a case study in Dalian, China....

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Published in:Sustainable cities and society 2023-05, Vol.92, p.104444, Article 104444
Main Authors: Li, Miao, Ming, Pingwen, Huo, Ran, Mu, Hailin, Zhang, Cunman
Format: Article
Language:English
Subjects:
Carbon tax
Hydrogen supply chain design
Spatiotemporal design
Sustainability pathways
Techno-economic optimization
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creator Li, Miao
Ming, Pingwen
Huo, Ran
Mu, Hailin
Zhang, Cunman
description •A spatiotemporal-resolved optimization model is proposed to design HSC.•A sustainable principle based on Markov chain is innovatively introduced.•The infrastructure plans can be hierarchically assessed in time-associated steps.•The presented model is verified through a case study in Dalian, China. The potential future use of hydrogen as transportation fuel should be assessed from supply chain point. However, the main challenge to motivate hydrogen supply chain (HSC) network is the insufficiency of the present hydrogen infrastructure. This paper presents a mixed integer linear programming (MILP) optimization model for a rational HSC design, given that primary energy source availability, production technologies, transportation modes and storage types. A sustainable principle based on Markov chain is innovatively introduced in the design of HSC network. The strategic decisions for sustainability infrastructure plans can be hierarchically analyzed in time-associated steps (2025–2030–2035). Meanwhile the spatiotemporal-resolved design is further used for an explicit consideration of specific city (Dalian in China), not heavily focused on national/country scale. Furthermore, optimizations are evaluated with total daily costs, carbon tax and CO2 emissions reduction constraints. The results show that the route of WE(S2)→WE(S2)→WE(S3) is the strategic decisions for Dalian hydrogen infrastructure plan from economic-environmental sustainable viewpoint, with the whole HSC costs of 18.44 $ kg−1 H2 in 2025, 10.56 $ kg−1 H2 in 2030 and 5.98 $ kg−1 H2 in 2035. Finally, the proposed design can provide policy-makers with the selection of sustainability pathways for dynamic hydrogen development planning.
doi_str_mv 10.1016/j.scs.2023.104444
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The potential future use of hydrogen as transportation fuel should be assessed from supply chain point. However, the main challenge to motivate hydrogen supply chain (HSC) network is the insufficiency of the present hydrogen infrastructure. This paper presents a mixed integer linear programming (MILP) optimization model for a rational HSC design, given that primary energy source availability, production technologies, transportation modes and storage types. A sustainable principle based on Markov chain is innovatively introduced in the design of HSC network. The strategic decisions for sustainability infrastructure plans can be hierarchically analyzed in time-associated steps (2025–2030–2035). Meanwhile the spatiotemporal-resolved design is further used for an explicit consideration of specific city (Dalian in China), not heavily focused on national/country scale. Furthermore, optimizations are evaluated with total daily costs, carbon tax and CO2 emissions reduction constraints. The results show that the route of WE(S2)→WE(S2)→WE(S3) is the strategic decisions for Dalian hydrogen infrastructure plan from economic-environmental sustainable viewpoint, with the whole HSC costs of 18.44 $ kg−1 H2 in 2025, 10.56 $ kg−1 H2 in 2030 and 5.98 $ kg−1 H2 in 2035. 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The potential future use of hydrogen as transportation fuel should be assessed from supply chain point. However, the main challenge to motivate hydrogen supply chain (HSC) network is the insufficiency of the present hydrogen infrastructure. This paper presents a mixed integer linear programming (MILP) optimization model for a rational HSC design, given that primary energy source availability, production technologies, transportation modes and storage types. A sustainable principle based on Markov chain is innovatively introduced in the design of HSC network. The strategic decisions for sustainability infrastructure plans can be hierarchically analyzed in time-associated steps (2025–2030–2035). Meanwhile the spatiotemporal-resolved design is further used for an explicit consideration of specific city (Dalian in China), not heavily focused on national/country scale. Furthermore, optimizations are evaluated with total daily costs, carbon tax and CO2 emissions reduction constraints. 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subjects Carbon tax
Hydrogen supply chain design
Spatiotemporal design
Sustainability pathways
Techno-economic optimization
title Optimizing design and performance assessment of a sustainability hydrogen supply chain network: A multi-period model for China
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