4.7 Article

Computational insights on potential dependence of electrocatalytic synthesis of ammonia from nitrate

Journal

CHINESE JOURNAL OF CATALYSIS
Volume 48, Issue -, Pages 205-213

Publisher

ELSEVIER
DOI: 10.1016/S1872-2067(23)64413-4

Keywords

Electrochemical ammonia synthesis; Density functional theory calculation; Reaction phase diagram; Activity; Selectivity

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Electrochemical nitrate reduction reaction (eNO3RR) is a potential route for decentralized ammonia (NH3) synthesis. This study investigates the competition between nitrite (HNO2) and ammonia during the reaction using a FeN4 single-atom catalyst. The results provide mechanistic insights into the selectivity of NH3 and HNO2 and can help design highly active and selective catalysts for eNO3RR.
Electrochemical nitrate reduction reaction (eNO3RR) has been considered as an alternative route for decentralized ammonia (NH3) synthesis. However, a major challenge is products selectivity at low overpotentials, namely, the competition between nitrite (HNO2) and ammonia. Herein, we em-ployed a single-atom catalyst (FeN4) as model to study the competitive mechanism of NH3 and HNO2 by density functional theory calculations. It was found the optimal paths for ammonia and nitrite productions share a key intermediate (NO2*), whose adsorption structures and preference in the following conversion determines the selectivity. We have incorporated potential-dependent barri-ers and microkinetic modeling to understand the Faradaic efficiency at different potentials. Our results are in good agreement with the experimental trend of Faradaic efficiencies of NH3 and HNO2, which can be rationalized well by the charge transfer coefficient (0) for NO2* protonation to cisH-NO2* with respect to that to HNO2. A low selectivity of ammonia production at small overpotentials can be ascribed to a kinetic issue. The electron localization function and crystal orbital Hamilton population were analyzed on the initial and transition states for NO2* protonation to cisHNO2* and HNO2. The computational mechanistic insights can help to design new catalyst for eNO3RR highly active and selective to NH3.& COPY; 2023, Dalian Institute of Chemical Physics, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

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