Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 186, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2023.113666
Keywords
Hydrogen; Ammonia; Modelling; Selective catalytic reduction; DeNO X
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This article reviews the research progress in the selective catalytic reduction (SCR) of nitrogen oxides (NOX) using ammonia as a reducing agent. It highlights the limitation of existing models in neglecting the adsorption of water on catalyst surfaces, which reduces their accuracy under high water vapor concentrations. The introduction of numerical fluid dynamics simulations (CFD) can overcome this limitation and consider the adsorption of relevant species at the catalyst's active sites.
This article provides a comprehensive review and evaluation of the selective catalytic reduction (SCR) of nitrogen oxides (NOX) using ammonia as a reducing agent in flue gases produced by the combustion of hydrogen or ammonia with air. Over the years, density functional theory calculations (DFT) have been used extensively to complement experimental results, with emphasis on understanding adsorption modes and reaction mechanisms. Recent advances in this field have led to a shift from non-periodic to more accurate periodic models. It has been shown that the SCR reactions mainly follow the Eley-Rideal mechanism, with NH2NO identified as the most important intermediate. Global kinetic and microkinetic models are widely used, but these models often overlook the crucial role of adsorption of water molecules on catalyst surfaces. Consequently, their utility is reduced under conditions of elevated water vapor concentrations. To address this limitation, numerical fluid dynamics simulations (CFD) have been introduced that include user-defined functions to model chemical deNOX reactions. In particular, the method CFD can also take into account the adsorption of relevant species at the active sites of the catalyst. We highlight a significant knowledge gap in the existing literature: the lack of consideration of the adsorption of water on catalyst surfaces during the selective catalytic reduction of NOX. Consequently, these models are inadequate for flue gases with high water vapor content produced during the combustion of hydrogen or ammonia. Addressing this shortcoming is critical to better understand and accurately predict the performance of SCR under different operating conditions.
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