2.1 Comparative Multi-Criteria Analysis of Supply and Demand Nodes
Methodological evaluation of Power-to-X export corridors demands an integrated analytical framework capable of reconciling upstream molecular generation with downstream sector-specific requirements in energy-intensive industries. To assess infrastructure viability, the comparative model incorporates multi-criteria evaluation of clean hydrogen production pathways alongside demand-side thermal and chemical parameters across heavy manufacturing clusters. The operationalization of clean hydrogen vectors—principally green hydrogen derived from renewable-powered water electrolysis and blue hydrogen produced via natural gas with carbon capture and storage—depends upon the systematic tracking of life-cycle energy balances, carbon mitigation effectiveness, and technical trade-offs across distinct spatial transport topologies (Blue Hydrogen vs. Green Hydrogen, 2026). In high-emissivity industrial sectors such as iron, steel, petrochemicals, and cement, high thermal demands and dedicated chemical reduction mechanisms dictate that hydrogen deployment must be evaluated through rigorous process-level energy balances rather than simple volumetric fuel substitutions, ensuring that cross-border corridor flows avoid marginal or counterproductive decarbonization outcomes (Green Hydrogen Integration for Decarbonization, 2024). Consequently, this methodological architecture couples spatial node mapping with multi-attribute performance indicators covering transmission efficiency, supply reliability, conversion thermodynamics, and carrier suitability across maritime and pipeline routes. By establishing balanced multi-dimensional evaluation matrices between renewable resource-rich supply regions and concentrated industrial demand clusters, this multi-criteria approach systematically benchmarks cross-border energy corridors against the stringent operational constraints of heavy industrial transformation, providing a reproducible basis for infrastructure optimization.