(509f) Computational Investigation into Supported and Inverted Cu/ZrO2 Catalysts for Selective Conversion of CO2 to Methanol | AIChE

(509f) Computational Investigation into Supported and Inverted Cu/ZrO2 Catalysts for Selective Conversion of CO2 to Methanol

Authors 

Goswami, A. - Presenter, Dr. William F. Schneider
Chen, J., University At Buffalo
Gallo, D. A., Stanford University
Jaramillo, T., Stanford University
Abild-Pedersen, F., SLAC National Accelerator Laboratory
Greenhouse gases like CO2, which are produced from fossil fuel burning, have proven to be a primary reason for global warming and climate change. The carbon-neutral conversion of CO2 to methanol, using renewable hydrogen, provides a sustainable and lucrative technology for combating CO2 emissions1. The Cu/ZrO2 catalytic system has been extensively investigated for the above chemistry, owing to its excellent stability and selectivity towards methanol3. More recently, the inverted ZrO2/Cu catalysts have shown to have better selectivity performance than the supported system for CO2 hydrogenation4,5 . However, the nature of active sites and synergistic effect between the Cu and ZrO2 components remains elusive.

In this work, we utilize Density Functional Theory (DFT) calculations to study atomistic models representing supported and inverted Cu-ZrO2 systems. We elucidate charge transfer characteristics as well as thermodynamic stability of both systems under operando conditions. We find that the formation of oxygen vacancies, prominently around interfacial locations, is most feasible under hydrogen pre-treatment conditions, prior to introducing CO2 at the inlet. We compute adsorption energies of intermediates relevant to CO2 hydrogenation and demonstrate that the presence of oxygen vacancies leads to additional stabilization of all species on both systems, further enabling the mechanistic pathways for hydrogenation (Figure 1). The selectivity performance of inverted systems towards is shown to be higher than supported system, owing to the excess stabilization of adsorbed CO on the former compared to the latter.

  1. Yuan et al. Chemical Engineering Communications (2022).
  2. Li et al. ACS Catal 9, 7840–7861 (2019).
  3. Rui et al. Ind Eng Chem Res 60, 18900–18906 (2021).
  4. Wu et al. Nat Commun 11, (2020).
  5. Duyar et al. Angewandte Chemie 130, 15265–15270 (2018).