{"title":"Improvement of low-temperature NOx reduction performance of NH3-SCR with O3 injection under diesel engine transient conditions","authors":"Yanghwa Kim , Ocktaeck Lim , Hongsuk Kim","doi":"10.1016/j.fuel.2025.134817","DOIUrl":null,"url":null,"abstract":"<div><div>NH<sub>3</sub>-based selective catalytic reduction (SCR) is an effective technology for reducing NO<sub>x</sub> emissions, a major contributor to air pollution, but its efficiency significantly decreases at temperatures below 200°C. To enhance low-temperature NO<sub>x</sub> reduction, O<sub>3</sub> was injected into the exhaust gas during the initial 600 s of the World Harmonized Transient Cycle (WHTC) cold phase in a diesel engine using a Cu/SSZ-13 catalyst. O<sub>3</sub> promotes the oxidation of NO to NO<sub>2</sub>, which reacts with NH<sub>3</sub> below 150°C to form NH<sub>4</sub>NO<sub>3</sub>, thereby improving NO<sub>x</sub> reduction efficiency. While NH<sub>4</sub>NO<sub>3</sub> accumulates on the catalyst at low temperatures without participating in the SCR reaction, it acts as an intermediate for fast SCR as the temperature rises, further enhancing NO<sub>x</sub> reduction. Furthermore, machine learning was applied to predict optimal NO<sub>x</sub> reduction rates based on the O<sub>3</sub>/NO molar ratio, revealing that the highest efficiency at catalyst inlet temperatures below 150°C is achieved when the O<sub>3</sub>/NO ratio is set to 1. This approach demonstrates the potential of O<sub>3</sub> injection combined with data-driven optimization to improve SCR performance under cold-start conditions.</div></div>","PeriodicalId":325,"journal":{"name":"Fuel","volume":"392 ","pages":"Article 134817"},"PeriodicalIF":6.7000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fuel","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016236125005411","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
NH3-based selective catalytic reduction (SCR) is an effective technology for reducing NOx emissions, a major contributor to air pollution, but its efficiency significantly decreases at temperatures below 200°C. To enhance low-temperature NOx reduction, O3 was injected into the exhaust gas during the initial 600 s of the World Harmonized Transient Cycle (WHTC) cold phase in a diesel engine using a Cu/SSZ-13 catalyst. O3 promotes the oxidation of NO to NO2, which reacts with NH3 below 150°C to form NH4NO3, thereby improving NOx reduction efficiency. While NH4NO3 accumulates on the catalyst at low temperatures without participating in the SCR reaction, it acts as an intermediate for fast SCR as the temperature rises, further enhancing NOx reduction. Furthermore, machine learning was applied to predict optimal NOx reduction rates based on the O3/NO molar ratio, revealing that the highest efficiency at catalyst inlet temperatures below 150°C is achieved when the O3/NO ratio is set to 1. This approach demonstrates the potential of O3 injection combined with data-driven optimization to improve SCR performance under cold-start conditions.
期刊介绍:
The exploration of energy sources remains a critical matter of study. For the past nine decades, fuel has consistently held the forefront in primary research efforts within the field of energy science. This area of investigation encompasses a wide range of subjects, with a particular emphasis on emerging concerns like environmental factors and pollution.