Practicality of Green H2 Economy for Industry and Maritime Sector Decarbonization through Multiobjective Optimization and RNN-LSTM Model Analysis

A green H-2 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 H-2 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 H-2 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 H-2 as a marine fuel.

Automated summary

This study utilizes a strategic methodology to optimize the supply chain of a green H-2 economy, including production, storage, and transportation, to achieve decarbonization in industrial and maritime sectors. The results provide detailed cost-benefit and trade-offs analysis for the optimal supply chain elements, helping to define the essential legislative changes required to promote green H-2 as a marine fuel.