2024 AIChE Annual Meeting
(48f) Characterization of Gasification Rates in Sorption-Enhanced Gasification of Biomass
This study aims to characterize the gasification rates of biomass feedstocks under conditions relevant to SEG, focusing on the impact of lower temperature and gas composition on reaction kinetics. We seek to develop empirical models that predict reaction rates as functions of operational parameters. The Langmuir-Hinshelwood rate equation will be modified for our study. This model will guide SEG process design and advance scalable hydrogen production technologies.
The experiments are conducted using a thermogravimetric analyzer (TGA) with six different biomass feedstocks, from agricultural to wood wastes. Varying temperatures and gas composition relevant to a SEG reactor will demonstrate the influence of temperature and product gases. Through these experiments, we aim to understand gasification in scale-up systems and the inhibition of product gases.
The preliminary results revealed the effect of temperature on different biomass feedstocks and the significant inhibition of H2 at 923-1023 K. These data will incorporate the potential inhibitory effect of CO. The empirical models based on these findings will provide an improved prediction of gasification performance under various operational conditions.
The insights from this study will lead to further SEG research, including combined feedstock preparation with limestone and sample pelletization for process intensification purposes. Empirical models will be validated against a 200-kW dual-fluidized bed reactor at the University of Utah to enhance the scalability of SEG technology, challenging the difficulties of industrial biomass-to-hydrogen conversion and advancing energy sustainability and carbon neutrality.