Reactor modeling assessment for urea-SNCR applications
Journal article, 2017

Purpose – The work investigates the effects of neglecting, modeling or partly resolving turbulent fluctuations of velocity, temperature and concentrations on the predicted turbulence-chemistry interaction in urea-SNCR systems. Design/methodology/approach – Numerical predictions of the NO conversion efficiency in an industrial urea-SNCR system are compared to experimental data. Reactor models of varying complexity are assessed, ranging from one-dimensional ideal reactor models to state-of-the-art CFD simulations based on the DES approach. The models employ the same reaction mechanism, but differ in the degree to which they resolve the turbulent fluctuations of the gas phase. A methodology for handling of unknown experimental data with regard to providing adequate boundary conditions is also proposed. Findings – One-dimensional reactor models may be useful for a first quick assessment of urea-SNCR system performance. It is critical to account for heat losses, if present, due to the significant sensitivity of the overall process to temperature. The most comprehensive DES setup evaluated is associated with approximately two orders of magnitude higher computational cost than the conventional RANS-based simulations. For studies that require a large number of simulations (e.g. optimizations or handling of incomplete experimental data), the less costly approaches may be favored with a tolerable loss of accuracy. Originality/value – Novel numerical and experimental results are presented to elucidate the role of turbulent fluctuations on the performance of a complex, turbulent, reacting multiphase flow.

Selective Non-Catalytic Reduction (SNCR)

Turbulence-chemistry interaction

Turbulence modeling



Oskar Finnerman

Chalmers, Applied Mechanics, Fluid Dynamics

Ning Guo

Chalmers, Applied Mechanics, Fluid Dynamics

Narges Razmjoo

Linnaeus University, Växjö

M Strand

Linnaeus University, Växjö

Henrik Ström

Chalmers, Applied Mechanics, Fluid Dynamics

International Journal of Numerical Methods for Heat and Fluid Flow

0961-5539 (ISSN)

Vol. 27 7 1395-1411

Driving Forces

Sustainable development

Subject Categories

Energy Engineering

Chemical Process Engineering

Chemical Engineering

Fluid Mechanics and Acoustics

Areas of Advance



Basic sciences


C3SE (Chalmers Centre for Computational Science and Engineering)



More information

Latest update