Tese e Dissertação

Tese: Geospatial modelling for green hydrogen and derivatives production potential assessment

This thesis develops and validates an integrated geospatial modelling framework to assess the production potential of green hydrogen and its derivatives - ammonia and methanol - generated from renewable energy sources. High‐resolution datasets for solar photovoltaic, onshore wind, and offshore wind resources are combined with a comprehensive suite of economic, environmental, social, and technical constraints to transform theoretical (gross) resource estimates into realistic (technical) potentials. The framework employs detailed production models for water electrolysis and subsequent chemical conversion processes, calibrated against region‐specific data, while incorporating exclusion criteria such as capacity factor thresholds, infrastructural setbacks, and environmental protection zones. Applied to the Brazilian context, the analysis reveals significant reductions in deployable capacity due to constraints, thereby exposing the divergence between idealized resource availability and practical implementation. Furthermore, a techno‐economic evaluation is performed using metrics such as the Levelized Cost of Electricity (LCOE) and Levelized Cost of Hydrogen (LCOH). The results emphasize the necessity of accounting for real‐world limitations in renewable energy assessments and provide critical insights for optimizing site selection and guiding policy decisions. This work thus contributes to advancing geospatial methodologies for renewable energy integration and supports the formulation of sustainable investment strategies that are essential for global decarbonization efforts.

Link da defesa:

https://puc-rio.zoom.us/j/94079352995?pwd=hNpc2aoPecAa4iPIIaVO8naOEMn2PJ.1

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