Summary:
Renewable hydrogen is key to Brazil’s transition to a carbon-neutral energy system, utilizing its abundant solar and wind resources for large-scale decarbonization. Despite its vast renewable potential, high costs and infrastructure gaps keep deployment limited to early-stage pilot projects. This study presents a grid-level, GIS-integrated multi-criteria decision-making framework that evaluates hydrogen suitability in Brazil. The model integrates renewable resources, topography, land-use constraints, infrastructure, and industrial demand. A comprehensive comparative assessment of aggregation techniques is conducted through mathematical validation and benchmarking against existing projects. Results show that understanding each method enables decision-makers to select the approach that best aligns with specific planning objectives, considering input characteristics and regional context. The Northeast and Central-West are consistently identified as the most suitable regions, aligning with existing initiatives and confirming the framework's practical relevance. The study offers a flexible methodology combining quantitative rigor with expert judgment to guide national hydrogen roadmaps and large-scale deployment.
Spanish layman's summary:
El hidrógeno renovable es clave para la transición de Brasil hacia un sistema neutro en carbono, aprovechando sus recursos solar y eólico. Sin embargo, los altos costos y limitaciones de infraestructura frenan su despliegue. Este estudio propone un marco GIS multicriterio para evaluar la idoneidad del hidrógeno a nivel nacional.
English layman's summary:
Renewable hydrogen is central to Brazil’s carbon-neutral transition, leveraging abundant solar and wind resources. Yet high costs and infrastructure gaps limit deployment. This study proposes a GIS-based multi-criteria framework to assess hydrogen suitability nationwide, integrating resources, land use, infrastructure, and demand.
Keywords: Renewable Hydrogen; Production Siting; Renewable Resources; Multi-Criteria Decision-Making; Objective Weighting; Aggregation Methods
Registration date: 24-abr-2026
Citation:
E.S. Solano, R. Cossent, C. M. Affonso, "The Impact of Aggregation Method Choice in GIS-Based Multi-Criteria Decision-Making Techniques for Site Selection of Green Hydrogen Production: A Brazilian Case Study", April 2026. IIT-26-119WP.