Modeling NOx Storage and Reduction for a Diesel Automotive Catalyst Based on Synthetic Gas Bench Experiments
| Autor: | Federico Millo, Francesco Sapio, Mahsa Rafigh, Ryan Dudgeon, Paolo Ferreri, Eduardo J. Barrientos, Syed Wahiduzzaman |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Test bench
Chassis business.industry General Chemical Engineering Reduction Catalyst Simulation modeling Automotive industry NOx Storage Reduction Catalyst Diesel Automotive Catalyst 02 engineering and technology General Chemistry 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Diesel Automotive Catalyst Industrial and Manufacturing Engineering 0104 chemical sciences Diesel fuel NOx Storage Environmental science 0210 nano-technology Process engineering business Driving cycle NOx Syngas |
| Zdroj: | Industrial & Engineering Chemistry Research. 57:12335-12351 |
| ISSN: | 1520-5045 0888-5885 |
| DOI: | 10.1021/acs.iecr.8b01813 |
| Popis: | To comply with stringent NOx emission regulations, automotive diesel engines require advanced aftertreatment catalytic systems, such as lean NOx traps (LNTs). Considering that test bench and chassis dyno experimental campaigns are costly and require a vast use of resources for the generation of data; therefore, reliable and computationally efficient simulation models are essential in order to identify the most promising technology mix to satisfy emission regulations. In the literature, a large number of simulation models for LNT kinetics can be found, realized for laboratory-scale samples and validated over synthetic gas bench (SGB) experimental tests, while full-size models validated over engine-dyno driving cycle data, crucial for industrial applications, are missing. In the current work, a simulation model of an LNT device is built to predict NOx storage and reduction, starting from SGB laboratory tests and finally validated over driving cycle data. The experiments including light-off, NOx storage and ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|