Talal Alharbi

Summer project

Energy Transition Specialization · Cohort 2026

Modeling and Analysis of Sorbent-Enhanced Reforming for Sustainable Hydrogen Production

The project focuses on a python-based modeling and analysis of a sorbent-enhanced reforming (SER) process for hydrogen production. The primary objective is to develop a computational framework to evaluate the coupled reaction–adsorption system and quantify its impact on hydrogen yield, CO2 capture efficiency, and overall process performance. The work will involve formulating a reactor model for a fixed-bed SER system that incorporates steam methane reforming (SMR), water-gas shift (WGS), and in situ CO2 capture using solid sorbents (e.g., CaO-based materials). The model will account for reaction kinetics, adsorption equilibrium, and mass and energy balances under adiabatic operating conditions.

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