Optimal Green Hydrogen Scheduling and Fuel Cell Vehicle Routing in Energy System Network

The global imperative to reduce greenhouse-gas emissions and enhance resource resilience has driven growing interest in green hydrogen as a versatile energy carrier across water, power, and transport sectors. Yet the variability of renewable sources and the tightly coupled nature of desalination, electricity grids, as well as drawbacks of existing mobility network models, pose significant planning and operational challenges. This thesis develops a cohesive optimization framework for integrating green hydrogen across water, energy, and transportation systems through four methodological contributions. First, a multi‑objective optimization model for hybrid renewable–desalination–hydrogen systems is formulated, enabling planners to explore trade‑offs among operational cost, grid power exchange, and renewable curtailment, while demonstrating the environmental and economic benefits of coupling fuel cell storage with seawater reverse osmosis desalination. Next, an Island Hybrid Energy System Network architecture is introduced, combining shore‑side renewables, electrolytic hydrogen production, and vessel‑based delivery to multiple island microgrids; a two‑stage stochastic scheduling approach co‑optimizes on‑site energy dispatch and maritime transport, enhancing supply reliability and reducing reserve margins through just‑in‑time hydrogen replenishment. The third study improves the stochastic scheduling model for coupled hydrogen–electricity networks with hydrogen devices recourse, wherein a Fuel Cell Vehicle (FCV)‑based Traveling Salesman Problem is augmented with an equivalent battery‑degradation cost, accurately capturing interactions between hydrogen refueling and on‑board battery wear to yield robust operational plans under renewable and demand uncertainty. Finally, the Fuel Cell Vehicle Routing Problem is defined to embed dynamic fuel cell and battery behaviors within classical vehicle‑routing, enabling precise energy management strategies and optimal dispatch for hydrogen‑powered fleets, marking the first integration of FCV powertrain dynamics into routing models. All together, this thesis offer a scalable, integrated optimization framework for decarbonizing isolated and interconnected infrastructures via green‑hydrogen solutions.