Hydrogen plays a key role in the global shift toward cleaner energy, but understanding and managing its production costs remains a complex challenge that depends heavily on several conditions. This work introduces an AI-powered tool that provides a comprehensive and data-driven cost analysis of the hydrogen supply chain, including production, storage, transportation, and distribution, which is tailored to Saudi Arabia’s strategic ambitions. The solution integrates diverse cost elements into a unified platform, which enables scenario modeling that reflects varying renewable inputs and infrastructure. A superstructure optimization technique is employed to systematically explore and evaluate different hydrogen production pathways across various technologies and configurations. Users can simulate production cases, conduct what-if analyses, and evaluate trade-offs between cost and available resources. The solution can also support facility-level hydrogen production, such as in gas plants or refineries. It enables engineers to assess existing hydrogen streams and explore cost-effective decarbonization pathways by recommending alternative, cleaner production technologies and integration of renewables. This supports both macro-level initiatives, such as NEOM, and operational decarbonization at existing industrial sites. With growing global competition in hydrogen development, this solution positions Saudi Arabia as a proactive leader.
