Emission characteristics and performance of SCR coated on DPF with different soot loads-Reference-Cited by-同舟云学术

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Emission characteristics and performance of SCR coated on DPF with different soot loads

Published:2022-12 Issue: Volume:330 Page:125712
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Chen Ying-jie,Tan Pi-qiang,Duan Li-shuang,Liu Yang,Lou Di-ming,Hu Zhi-yuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference38 articles.

1. Comprehensive analysis of combustion phasing of multi-injection HCCI diesel engine at different speeds and loads;Niklawy;Fuel,2022

2. Combustion of high carbon (C7–C8) alcohol fuels in a reactivity controlled compression ignition (RCCI) engine as low reactivity fuels and ANN approach to predict RCCI emissions;Okcu;Fuel,2022

3. Investigation on combustion, performance and emission characteristics of a diesel engine fueled with diesel/alcohol/n-butanol blended fuels;Zhang;Fuel,2022

4. Combustion performance and emission characteristics of a diesel engine under low-temperature combustion of pine oil–diesel blends;Huang;Energy Convers Manage,2016

5. Study of injection pressure couple with EGR on combustion performance and emissions of natural gas-diesel dual-fuel engine;Chen;Fuel,2020

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1. Particle filter performance of soot-loaded diesel particulate filter and the effect of its regeneration on the particle number and size distribution;Journal of Cleaner Production;2024-07

2. Effect analysis on the flow uniformity and pressure drop characteristics of the rotary diesel particulate filter for heavy-duty truck;Energy;2024-02

3. Effects of the Topological Structure of Different Cu-Zeolites on the Relationship between Soot and NO_x Removal on NH₃–SCRF;Energy & Fuels;2024-01-18

4. Prediction of the transient emission characteristics from diesel engine using temporal convolutional networks;Engineering Applications of Artificial Intelligence;2024-01

5. Experimental study on the pressure drop and thickness variation of carbon black particle layer during oxidation on DPF channels;Fuel;2023-12

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