Multi-scale Modelling of Methanol Synthesis Reactors

Abstract

Decarbonizing the global energy mix relies on efficiently converting carbonaceous feedstocks like CH4 and CO2, with methanol playing a pivotal role. Methanol serves as a versatile chemical feedstock, energy storage solution, and precursor to clean fuels. Synthesizing methanol involves CO, CO2, and H2 conversion over a copper-based catalyst in a packed bed reactor (PBR). This thesis adopts a multi-scale approach, optimizing reactor design, catalyst properties, and refining kinetic models to enhance methanol synthesis efficiency.