The shift from carbonaceous sources to cleaner alternatives necessitates reorienting and optimizing energy supply chains. Despite technological advancements, energy security remains susceptible to disruptions caused by geopolitical tensions, resource constraints, and market fluctuations. This chapter explores how genetic simulations, leveraging metaheuristic optimization techniques, facilitate a trade-off between the resilience and cost-effectiveness of green hydrogen supply chains. A data-driven case study examines the first-level viability of the envisaged green hydrogen system, covering prominent pathways for production, storage, and transportation and distribution (T&D). Scenarios are ranked based on cost per tonne for production, storage, and T&D. Prima facie viable cases are further discussed considering supply chain vulnerability under geopolitical and logistical constraints. Such studies help strategize long-term energy security for developing economies like India.
