Genetic Algorithm based Automated Calibration Tool for Numerical Selective Catalytic Reduction (SCR) Models 2009-01-1265
An automated process was developed for the calibration of numerical aftertreatment models. The chemical kinetic mechanism examined in this case was part of a simplified SCR model. The process adopted for calibrating the SCR model was based on a micro-population multi-objective genetic algorithm. The algorithm developed was used to calibrate the SCR model using data derived from another, more detailed model to ensure that the evaluation focused only on the effectiveness of the calibration process and was not affected by issues of experimental inaccuracies or details of the model chemistry involved.
Citation: Chavannavar, P. and Driscoll, J., "Genetic Algorithm based Automated Calibration Tool for Numerical Selective Catalytic Reduction (SCR) Models," SAE Int. J. Fuels Lubr. 2(1):568-577, 2009, https://doi.org/10.4271/2009-01-1265. Download Citation
Author(s):
Praveen Chavannavar, J. Josh Driscoll
Affiliated:
Caterpillar Inc
Pages: 10
Event:
SAE World Congress & Exhibition
ISSN:
1946-3952
e-ISSN:
1946-3960
Also in:
Diesel Exhaust Emission Control Modeling, 2009-SP-2255, SAE International Journal of Fuels and Lubricants-V118-4, SAE International Journal of Fuels and Lubricants-V118-4EJ
Related Topics:
Selective catalytic reduction
Calibration
Mathematical models
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