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Effects analysis on hydrocarbon light-off performance of a catalytic gasoline particulate filter during cold start

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Abstract

In order to study the hydrocarbon combustion in the low-temperature catalytic process of a catalytic gasoline particulate filter (CGPF) during cold start, a mathematical model of the CGPF is established and verified firstly. Then, take T50 (a temperature when the hydrocarbon conversion rate reaches 50%) as hydrocarbon light-off (LO) temperature; the effects of different exhaust parameters and structural parameters on hydrocarbon light-off performance and reaction rate are investigated based on simulation results. Finally, orthogonal experiment analysis is employed to further obtain the most significant factors and suggested parameter solution. The results show that the hydrocarbon LO performance of the CGPF during cold start is positively correlated with exhaust oxygen concentration, porosity, and filter length, but it is negatively correlated with exhaust flow rate and exhaust water vapor concentration. In addition, the inlet of the channel has a significant HC reaction when the oxygen concentration reaches 2.2%, and porosity mainly influences the front half part of the filter. Moreover, the influence degree relationship of the five factors is oxygen > mass flow > porosity > length > water vapor, and the optimum solution of length, vapor, mass flow, porosity, and oxygen is 150 mm, 12.31%, 0.002 kg/s, 0.55, and 2.2%, respectively. This work offers us great reference value for CGPF performance enhancement and hydrocarbon abatement of a GDI engine.

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All data generated or analyzed during this study are included in this published article.

Abbreviations

GPF:

Gasoline particulate filter

CGPF:

Catalytic gasoline particulate filter

LO:

Light-off

GDI:

Gasoline direct injection

HC:

Hydrocarbon

PM:

Particulate matter

TWC:

Three-way catalyst converter

L :

Filter length [mm]

b :

Wall thickness [mm]

d :

Channel width [mm]

i :

Location of the inlet channel

j :

Location of the outlet channel

x :

Axial distance [m]

u :

Axial flow velocity [m/s]

υ :

Flow velocity in the porous media [m/s]

μ :

Dynamic viscosity [Pa∙s]

p :

Pressure [Pa]

k :

Permeability [m2]

λ :

Thermal conductivity [W/(m·K)]

m :

Specific surface area [m2/kg]

ξ :

Pressure loss coefficient

η :

Conversion efficiency

δ :

Conversion ratio

H :

Surface heat transfer coefficient [W/(m2·K)]

K s :

Reaction rate constant

A :

Pre-exponential factor

E a :

Apparent activation energy [kJ/kg]

R 0 :

Gas constant [J/(K∙mol)]

F :

Momentum transfer coefficient

C in :

Inlet propylene concentration [mol/m3]

C out :

Outlet propylene concentration [mol/m3]

I F :

Conversion rate under the exhaust temperature of F

I F +10 :

Conversion rate under the exhaust temperature of F + 10

I F- 10 :

Conversion rate under the exhaust temperature of F-10

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Funding

This work is supported by the Natural Science Foundation of Hunan Province under the research grant of 2020JJ6002, the Open Fund of Fujian Province Key Laboratory of Ship and Ocean Engineering, the National Natural Science Foundation of China under the research grant of 52076184 and 51975503, and the Basic and Applied Basic Research Foundation of Guangdong Province (Grant No. 2019A1515110883).

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Bin Zhang, resources, funding acquisition, project administration, data curation, writing—original draft, and writing—review and editing. Xuewei Li: software, data curation, writing—original draft, and writing—review and editing. Qingsong Zuo: resources, funding acquisition, and project administration. Zibin Yin: conceptualization and methodology. Jianping Zhang: formal analysis and software. Wei Chen: methodology and software. Chun Lu: software. Dongli Tan: data curation.

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Correspondence to Qingsong Zuo.

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Highlights

1. A simulation model of the CGPF for hydrocarbon conversion is established.

2. Hydrocarbon conversion rate, light-off temperature, and mass fraction distribution in the CGPF are investigated.

3. Effects of different parameters on hydrocarbon light-off performance are presented.

4. Influence degree relationship and optimum solution of different parameters are obtained based on orthogonal experiment analysis.

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Zhang, B., Li, X., Zuo, Q. et al. Effects analysis on hydrocarbon light-off performance of a catalytic gasoline particulate filter during cold start. Environ Sci Pollut Res 29, 76890–76906 (2022). https://doi.org/10.1007/s11356-022-20519-0

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