An Intelligently Controlled Device for SCR Catalytic Ensemble Testing, Its Designs and Applications

Xiao Jian-ming; Zhao Xiang-yun; Yang Xiao-bo; Yu Lin; Fan Qun

doi:10.12052/gdutxb.160093

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

An Intelligently Controlled Device for SCR Catalytic Ensemble Testing, Its Designs and Applications

更新时间：2026-05-27

- An Intelligently Controlled Device for SCR Catalytic Ensemble Testing, Its Designs and Applications
- Vol. 34, Issue 4, Pages: 31-35(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.160093
  CLC： O643.3
- Online First：09 July 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
萧剑鸣, 赵向云, 杨晓波, 余林, 范群. 一种智能控制的整体式SCR催化剂非破坏性测试装置的研制及应用[J]. 广东工业大学学报, 2017, 34(4): 31-35.

Xiao Jian-ming, Zhao Xiang-yun, Yang Xiao-bo, et al. An Intelligently Controlled Device for SCR Catalytic Ensemble Testing, Its Designs and Applications[J]. 2017, 34(4): 31-35.
萧剑鸣, 赵向云, 杨晓波, 余林, 范群. 一种智能控制的整体式SCR催化剂非破坏性测试装置的研制及应用[J]. 广东工业大学学报, 2017, 34(4): 31-35. DOI： 10.12052/gdutxb.160093.

Xiao Jian-ming, Zhao Xiang-yun, Yang Xiao-bo, et al. An Intelligently Controlled Device for SCR Catalytic Ensemble Testing, Its Designs and Applications[J]. 2017, 34(4): 31-35. DOI： 10.12052/gdutxb.160093.

摘要

为了准确、高效地评价选择性催化还原（Selective Catalytic Reduction，SCR）催化剂的催化活性，本文研制出了一种智能机器人控制的柴油机尾气脱硝SCR整体式催化剂的催化活性测试装置，并以V

/WO

/TiO

整体式催化剂测试对象，验证了该装置具有很好的稳定性及智能性.同时，把同等条件下的催化剂分别在实验室小样评价装置及发动机台架上进行了测试，并把不同装置上的测试结果进行了对比.3种测试装置测试结果的对比表明，同样催化剂在不同台架上测试结果相近.本文开发出的智能型柴油机尾气脱硝SCR整体式催化剂非破坏性测试装置设计合理，既具有台架测试装置的非破坏性又具有实验室小样测试装置的操作经济简便，能够有效地完成整体式催化剂催化活性评价.该装置可以方便地应用于中试水平实验的日常使用，也可用于产品性能的检测.

Abstract

Selective Catalytic Reduction (SCR）is the key technology for diesel effluent to meet today’s emission standards. The De NO

efficiency is directly determined by the activities of the catalyst. In purpose of precisely and efficiently evaluating the activities of the catalysts

a device that is intelligently controlled by robots for evaluations of the activities of SCR catalytic ensembles is presented in this research. The device is using circulated hot air heating to maintain the temperature of the catalyst sample. By separating the reaction channels from the heat

ing air

NO and Ammonia mixture is flowing through a small portion of the heated catalyst substrate while the NO concentration is monitored continuously. In this way

NO conversion rate and temperature curve is measured. Under the conditions of space speed 40 000 h

-1

NO initial concentration of 1.2 ‰

in the temperature range of 150 ℃ to 250 ℃

the conversation rates of a V

/WO

/TiO

SCR catalytic ensemble sample are from 18% to 88%. The stability and intelligent level of the device are also tested by evaluating the SCR catalytic ensemble samples. The same sample is tested twice and the conversion curves are overlapped. For comparisons

the samples are also tested in a micro reactor and a diesel engine bench. Results attained in all these test fixtures are comparable. In addition

the cost of testing a sample on the device is only 1% of that when tested on a diesel engine bench. The intelligent device described in this research is a well-designed non-destructive test fixture. It is non-destructive

similar to a diesel engine bench

and is also very economical and easy to operate

similar to a micro reactor. The device can be used for daily operation of scale up experiments

as well as for products inspections.

关键词

Keywords

references

国家环境保护部科技标准司. 中华人民共和国国家标准: GB 17691-2005[S]. 北京: 国家环境保护总局与国家质量监督检验检疫总局, 2005.

DUMESIC J A, TOPSE N, TOPSE H, et al. Kinetics of selective catalytic reduction of Nitric Oxide by Ammonia over Vanadia/Titania [J]. Journal of Catalysis, 1996, 163: 409-417.

GAN B, ZHAN R, LIN H, et al. Review of state of the art technologies of selective catalytic reduction of No x from diesel engine exhaust [J ] . Applied Thermal Engineering, 2014, 66: 395-414.

MATSUMOTO S. Recent advances in automobile exhaust catalysts [J]. Catalysis Today, 2004, 90: 183-190.

QIU T, LI X C, LIANG H, et al. A method for estimating the temperature downstream of the SCR (selective catalytic reduction) catalyst in diesel engines [J]. Energy, 2014, 68: 311-317.

国家环境保护部. 《关于实施第五阶段机动车排放标准》(公告2016年第4号)[S]. 北京: 环境保护部、工业和信息化部, 2016.

国家环境保护部科技标准司. 中华人民共和国国家环境保护标准: HJ451-2008[S]. 北京: 国家环境保护部, 2008.

符志伟, 程高, 林婷, 等. 二氧化锰制备及催化燃烧甲苯性能研究[J ] . 广东工业大学学报, 2016, 33(02): 85-90.FU Z W, CHENG G, LIN T, et al. The preparation of MnO 2 and application in catalytic combustion of toluene [J ] . Journal of Guangdong University of Technology, 2016, 33(02): 85-90.

KASPAR J, FORNASIERO P, HICKEY N. Automotive catalytic converters: current status and some perspectives [J]. Catalysis Today, 2003, 77: 419-449.

LONG Q, YANG R T. Selective catalytic reduction of NO with ammonia over V 2 O 5 doped TiO 2 pillared clay catalysts [J ] . Applied Catalysis B: Environmental, 2000, 24: 13-21.

CHOI C, SUNG Y, CHOI G M, et al. Numerical analysis of NO x reduction for compact design in marine urea-SCR system [J ] . International Journal of Naval Architecture and Ocean Engineering, 2015, 7: 1020-1034.

KIM J Y, KIM Y H, HAN S, et al. Photocatalytic synthesis of oxygenated hydrocarbons from diesel fuel for mobile DeNO x a pplication [J ] . Journal of Catalysis, 2013, 302: 58-66.

KANTCHEVA M. Identification, stability, and reactivity of NO x species adsorbed on titania-supported manganese catalysts[J ] . Journal of Catalysis, 2001, 204: 479-494.

CHOI B C, KIM Y K, JHUNG W N, et al. Experimental investigation on melting characteristics of frozen urea-water-solutions for a diesel SCR de-NO x -system [J ] . Applied Thermal Engineering, 2013, 50: 1235-1245.

郑育英, 邓淑华, 黄慧民, 等. 汽车尾气净化催化剂的研究进展[J]. 广东工业大学学报, 2004, 21(3): 28-33.ZHENG Y Y, DENG S H, HUANG H M, et al. Research and development of automobile exhaust purifying catalyst [J]. Journal of Guangdong University of Technology, 2004, 21(3): 28-33.

NOVA S, LIETTI L, TRONCONI E, et al. Dynamics of SCR reaction over a TiO 2 -supported vanadia-tungsta commercial catalyst [J ] . Catalysis Today, 2000, 60: 73-82.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Bimodal Iterative Cross-attention Fusion Ensemble Framework

Research and Implementation of a Pulsed Laser Ranging Method Based on Digital Mixing

Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication

Modeling of 3D NAND Memory Cells with Taper Angle and Programming Strategy Optimization

Efficient Temporal Modeling for RGB-T Tracking

Related Author

No data

Related Institution

No data

AI问答

⁰