• A strategic framework for the design of a multi-sectors hydrogen supply chain network.
• Investigating the potential of industrial decarbonization via green hydrogen economy.
• Solving the mixed integer linear programming problem in GAMS/ IBM ILOG CPLEX 30.3.0.
• Accomplishing detail techno-economic-environmental analysis for variable scenarios.
• Demonstrating the applicability of the developed model using an Eco-industrial city..
This study focuses on the development of a strategic framework for the design of a hydrogen supply chain network (HSCN) mainly investigating the potential of industrial decarbonization and multi-sectors integration (i.e., transportation, energy, shipping) via green hydrogen economy. The problem was formulated as a mixed integer linear programming (MILP) and solved in GAMS/ IBM ILOG CPLEX 30.3.0 solver. The applicability of the developed model was demonstrated using a base case Eco-industrial city consisting of 10 diverse industrial portfolios targeting decarbonization by 5%. The solution was able to find the optimal HSCN from the probable superstructure along with the optimal sizing of green hydrogen production (453.03 MM kg/y), optimal water sources, optimal sinks and the optimal amount of byproducts generation. Furthermore, the multi-purpose model can accomplish detailed techno-economic-environmental analysis for variable scenarios (e.g., variation in decarbonization target, liquid hydrogen demand, hydrogen production cost, earnings from byproducts) based on net present value.
Details can be found in the following published journal: https://doi.org/10.1016/j.compchemeng.2020.107144
Keywords: Decarbonization, Green hydrogen, Supply chain optimization, Techno-economic-environmental analysis