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Towards a feasible and stable thermocatalytic conversion of CO2 to methanol and E-fuels

Problem statement

Unarguably, CO2 is a crucial concern affecting climate change. To cope with or solve the issue, viable valorization strategies are required for efficient usage of CO2, allowing for a circular economy. We aim to convert CO2 into CO, methane, methanol, dimethyl ether, or E-fuels.

Our activities in CO2 conversion are related to (i) analyzing the stability of industrially relevant catalysts under realistic conditions and (ii) developing new catalytic materials based on Cu. In (i), we are developing reactors that augment the kinetic information: (a) in situ and operando spectroscopic reactors that work under (close to) working conditions to study structure-performance relationships, (b) periodic reactors with transient or variable conditions over time or space. In (ii), we work mainly with novel materials such as metal-organic frameworks (MOFs).

We guide the design of these catalysts based on stability and using density functional theory (DFT) and microkinetic modeling.

Goals

  • Develop advanced structure-function-deactivation relationships of industrially relevant catalysts
  • Analyze the effect of “activity modifiers,” such as sulfur species, aromatics, chlorine, etc., on the catalyst structure and performance
  • Improve the catalyst structure-function correlations using in-situ, operando, and dynamic techniques and reactors
  • Synthesize new catalytic materials with enhanced stability and selectivity
  • Develop a microkinetic-based modeling framework to analyze the catalyst performance
CO2-2023

Related People

Related Publications

Microkinetic Modeling to Decode Catalytic Reactions and Empower Catalytic Design

by Kulkarni, Lezcano, Velisoju, Realpe, Castaño
ChemCatChem Year: 2024 DOI: https://doi.org/10.1002/cctc.202301720

Abstract

Kinetic model development is integral for designing, redesigning, monitoring, and optimizing chemical processes. Of the various approaches used within this field, microkinetic modeling is a crucial tool that focuses on surface events to analyze overall and preferential reaction pathways. This work covers noticeable features of microkinetic modeling for three critical case studies: (i) ammonia to hydrogen, (ii) oxidative coupling of methane to chemicals, and (iii) carbon dioxide hydrogenation for methanol synthesis. We analyze how microkinetic modeling enables predicting and optimizing complex reaction networks, allowing the design of efficient and tailored catalysts with enhanced activity and selectivity.

Keywords

MKM CO2 CHA AMD