Dynamic simulation of a solar-autothermal hybridized gasifier: Model principle, experimental validation and parametric study

This research-backed project framework focuses on the dynamic simulation and modeling of a hybridized solar-autothermal biomass gasifier to address the challenges of solar intermittency. The underlying methodology utilizes unsteady-state mass and energy conservation equations integrated with gas-phase thermodynamic equilibrium and heterogeneous char oxidation kinetics. By tracking the accumulation of char and transient gas species production rates, the model provides deep insights into reactor dynamics under varying solar irradiance levels with optimized computational overhead. The simulation framework enables the prediction of transient reactor temperatures and syngas composition profiles during both solar-only and hybridized (solar-autothermal) operations. Through parametric studies, the influence of reactant feed rates—specifically steam, biomass, and oxygen—on steady-state performance metrics

is systematically analyzed. The model demonstrates how steam addition alters the H2:CO molar ratio, biomass feed rates affect solar-to-fuel efficiency, and oxygen injection stabilizes reactor temperatures during solar fluctuations. This project provides structuring and implementation support for M.Tech students to develop, validate, and analyze dynamic models of advanced thermochemical systems, offering a robust foundation for designing real-time control strategies for continuous solar-driven chemical processes.

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