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AuthorKazi, M.-K.
AuthorEljack, F.
Available date2023-09-10T17:35:33Z
Publication Date2022
Publication NameIndustrial and Engineering Chemistry Research
ResourceScopus
URIhttp://dx.doi.org/10.1021/acs.iecr.2c00757
URIhttp://hdl.handle.net/10576/47361
AbstractA green H2 economy's practicality depends highly on multisector decarbonization and cost-benefit analyses of the supply chain, including production routes, techno-economic performance, storage, and transportation. In this work, a strategic methodology is used to formulate the multiobjective optimization problem as a mixed-integer linear programming (MILP) to optimize green H2 economy scenarios for decarbonizing the industrial and marine sectors concurrently. GAMS/IBM ILOG CPLEX 30.3.0 solver was used to solve the MILP, and an RNN-LSTM prediction model was used to identify the future H2 demand from the maritime sector. Capital budgeting and sensitivity analysis were conducted for a constant 5% industrial sector decarbonization target and variable scenario-based maritime sector decarbonization. The results provide the detailed cost-benefit and trade-offs analysis for the optimal supply chain elements. The findings of this study can help define the essential legislative changes required to promote green H2 as a marine fuel. 2022 American Chemical Society.
SponsorThis paper was made possible by NPRP Grant No. 10-0205-170347 from the Qatar National Research Fund (a member of Qatar Foundation).
Languageen
PublisherAmerican Chemical Society
SubjectEconomic and social effects
Integer programming
TitlePracticality of Green H2Economy for Industry and Maritime Sector Decarbonization through Multiobjective Optimization and RNN-LSTM Model Analysis
TypeArticle
dc.accessType Abstract Only


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