This study examined the carbochlorinationCarbochlorination kineticskinetics of aluminaAlumina using carbonCarbon monoxide (CO) and chlorine gas (Cl2) via a comprehensive single particle modelSingle particle model. The model incorporated the species mass balance for both the gas and solid alumina phases, along with the system’s energy balanceEnergy balance. Partial differential equations, modeling reactions and transport processes, were solved numerically using the finite difference method. Comparative analyses of structural kineticskinetics models of the Random Pore Model, Volumetric Model, Shrinking Core Model, and Gardner Model were conducted. These models employed first-order power law kineticskinetics and were tested against porous and non-porous aluminaAlumina to represent the carbochlorinationCarbochlorination process and obtain intrinsic kineticskinetics. The model was validated by comparing computational results with experimental data from existing literature. The model was able to predict the concentration of gas reactants and products, the aluminaAlumina consumption rate, and the temperature profile thus describing key features of the carbochlorinationCarbochlorination process.Single particle model

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Carbochlorination  of  Alumina : An Assessment Based on Single Particle Model

  • Parindra Kusriantoko,
  • Kristian Etienne Einarsrud

摘要

This study examined the carbochlorinationCarbochlorination kineticskinetics of aluminaAlumina using carbonCarbon monoxide (CO) and chlorine gas (Cl2) via a comprehensive single particle modelSingle particle model. The model incorporated the species mass balance for both the gas and solid alumina phases, along with the system’s energy balanceEnergy balance. Partial differential equations, modeling reactions and transport processes, were solved numerically using the finite difference method. Comparative analyses of structural kineticskinetics models of the Random Pore Model, Volumetric Model, Shrinking Core Model, and Gardner Model were conducted. These models employed first-order power law kineticskinetics and were tested against porous and non-porous aluminaAlumina to represent the carbochlorinationCarbochlorination process and obtain intrinsic kineticskinetics. The model was validated by comparing computational results with experimental data from existing literature. The model was able to predict the concentration of gas reactants and products, the aluminaAlumina consumption rate, and the temperature profile thus describing key features of the carbochlorinationCarbochlorination process.Single particle model