TY - JOUR
T1 - Determination of Key Rate Parameters of the Thermal DeNOx Process by Optimization of a Detailed Combustion Kinetic Mechanism
AU - Szanthoffer, András György
AU - Papp, Máté
AU - Glarborg, Peter
AU - Hashemi, Hamid
AU - Zsély, István Gyula
AU - Turányi, Tamás
PY - 2025
Y1 - 2025
N2 - The thermal DeNOx process is a widely used NOx
emission control technique, but its chemical kinetic description still
lacks accuracy. In the present work, two key kinetic parameters of the
thermal DeNOx process were investigated: the branching fraction (α) of the NH2 + NO reaction, and the rate coefficient of the unimolecular decomposition of NNH (inverse lifetime of NNH, τNNH).
Values of these rate parameters were determined using a mechanism
optimization method that utilizes both direct and indirect data and
minimizes the value of an error function. Data were collected from the
literature and available in data files on the ReSpecTh site (https://ReSpecTh.hu).
Indirect experimental data used as optimization targets were NO mole
fractions measured in tubular flow reactors. The most recent nitrogen
chemistry mechanism of Glarborg and coworkers (2024) was used as the
initial mechanism. Inconsistency was found between the indirect
experimental data, and therefore mechanism optimization was not feasible
using all the indirect data. Using a new algorithm, a consistent subset
of indirect data was identified. The optimized value of τNNH (8.5 ∙ 10−11 s) is approximately an order of magnitude smaller than in the initial mechanism (10−9 s), but consistent with theoretical calculations. The posterior uncertainty of τNNH
is significantly smaller than its prior uncertainty. The optimized
value of the branching fraction is different from its initial value by
less than 2%, but due to the very large sensitivity of the simulation
results to α, this small change improves the performance of the mechanism noticeably. The width of the posterior uncertainty range of α
is approximately half that of its prior uncertainty range, estimated
using only direct measurements. This is a significant improvement, but
more accurate indirect experimental data are needed to further increase
the accuracy of the determination of α.
AB - The thermal DeNOx process is a widely used NOx
emission control technique, but its chemical kinetic description still
lacks accuracy. In the present work, two key kinetic parameters of the
thermal DeNOx process were investigated: the branching fraction (α) of the NH2 + NO reaction, and the rate coefficient of the unimolecular decomposition of NNH (inverse lifetime of NNH, τNNH).
Values of these rate parameters were determined using a mechanism
optimization method that utilizes both direct and indirect data and
minimizes the value of an error function. Data were collected from the
literature and available in data files on the ReSpecTh site (https://ReSpecTh.hu).
Indirect experimental data used as optimization targets were NO mole
fractions measured in tubular flow reactors. The most recent nitrogen
chemistry mechanism of Glarborg and coworkers (2024) was used as the
initial mechanism. Inconsistency was found between the indirect
experimental data, and therefore mechanism optimization was not feasible
using all the indirect data. Using a new algorithm, a consistent subset
of indirect data was identified. The optimized value of τNNH (8.5 ∙ 10−11 s) is approximately an order of magnitude smaller than in the initial mechanism (10−9 s), but consistent with theoretical calculations. The posterior uncertainty of τNNH
is significantly smaller than its prior uncertainty. The optimized
value of the branching fraction is different from its initial value by
less than 2%, but due to the very large sensitivity of the simulation
results to α, this small change improves the performance of the mechanism noticeably. The width of the posterior uncertainty range of α
is approximately half that of its prior uncertainty range, estimated
using only direct measurements. This is a significant improvement, but
more accurate indirect experimental data are needed to further increase
the accuracy of the determination of α.
U2 - 10.1002/kin.21789
DO - 10.1002/kin.21789
M3 - Journal article
SN - 0538-8066
VL - 57
SP - 434
EP - 445
JO - International Journal of Chemical Kinetics
JF - International Journal of Chemical Kinetics
IS - 7
ER -