Model‐Based Optimization Framework for Catalyst Dilution Applications in CO2‐Methanation Reactors

<jats:title>ABSTRACT</jats:title> <jats:p> Methane, synthesized from renewable hydrogen and biogenic CO <jats:sub>2</jats:sub> , can be a part of the transformation towards renewable energy carriers. A major engineering challenge is the optimization of the fixed‐bed reactor design, specifically the heat dissipation in regions of high reaction heat release. A mitigation concept is the introduction of inert material into the fixed bed, called catalyst dilution. In this study, a 1D continuity model is presented, which aims to predict catalyst superheating. This model is used in an exploratory study to identify system sensitivity and optimization parameters. Subsequently, an optimization framework for improving the reactor design is tested, resulting in a 148‐K reduction in peak catalyst temperature when using a 33.3 vol% catalyst dilution. </jats:p>