The transition from fossil fuels requires the deployment of highly efficient green hydrogen supply chains. This paper presents a five-echelon network design capturing the flow of green hydrogen from renewable feedstocks to large-scale power generation and heavy industrial end-users. A bi-objective mixed-integer linear programming model, solved by a goal programming approach, is proposed to balance economic costs and environmental emissions. The model determines the optimal production and storage locations, transport modes, and distribution flows. A case study conducted in Egypt illustrates the model's effectiveness and highlights significant structural trade-offs between cost and emissions objectives. Eventually, this research offers decision-makers an actionable framework for balancing economic feasibility and sustainability goals.