Please wait a minute...
Frontiers of Chemical Science and Engineering

ISSN 2095-0179

ISSN 2095-0187(Online)

CN 11-5981/TQ

Postal Subscription Code 80-969

2018 Impact Factor: 2.809

Front Chem Eng Chin    2010, Vol. 4 Issue (4) : 523-528    https://doi.org/10.1007/s11705-010-0520-y
RESEARCH ARTICLE
Numerical simulation and experimental verification of chemical reactions for SCR DeNOx
Qiang ZHANG1(), Yonglin FAN2, Wenyan LI2
1. Xi’an Thermal Power Research Institute Co. Ltd., Xi’an 710032, China; 2. North China Electric Power University, Beijing 102206, China
 Download: PDF(301 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

Selective catalytic reduction (SCR) is a major commercial technology for NOx removal in power plants. There are a lot of complex chemical reactions in SCR reactors, and it is of great significance to understand the internal process of chemical reactions for SCR DeNOx and study the impact of various factors on NOx removal efficiency. In this paper, the impact of reaction temperature, ammonia-nitrogen molar ratio and resident time in the catalyst bed layer on NOx removal efficiency were studied by simulation of chemical reactions. Then calculated results were compared with catalyst activity test data in a power plant, which proved that the simulated results were accurate. As a result, the reaction conditions were optimized in order to get the best removal efficiency of NO, so that we can provide a reference for optimal running of SCR in power plants.

Keywords SCR      NOx      removal efficiency      chemical reactions      simulation     
Corresponding Author(s): ZHANG Qiang,Email:zhangqiang@tpri.com.cn   
Issue Date: 05 December 2010
 Cite this article:   
Qiang ZHANG,Yonglin FAN,Wenyan LI. Numerical simulation and experimental verification of chemical reactions for SCR DeNOx[J]. Front Chem Eng Chin, 2010, 4(4): 523-528.
 URL:  
https://academic.hep.com.cn/fcse/EN/10.1007/s11705-010-0520-y
https://academic.hep.com.cn/fcse/EN/Y2010/V4/I4/523
componentsH2OO2NONH3SO2N2
mass fraction0.04780.06070.0020.001130.00560.88277
Tab.1  Components of inlet gas at the entrance of the catalyst bed
Fig.1  Mass fraction of NO in the catalyst bed at different reaction temperatures
(a) 285°C; (b) 305°C; (c) 325°C; (d) 345°C; (e) 365°C; (f) 385°C; (g) 405°C; (h) 425°C
reaction temperature285°C305°C325°C345°C365°C385°C405°C425°C
removal efficiency of NO50%66.5%72.5%80%85%90%92.5%88%
Tab.2  Removal efficiency of NO at different reaction temperatures
Fig.2  Numerical simulation results of the removal efficiency of NO at different temperatures
Fig.3  Mass fraction of NO in the catalyst bed at different ammonia-nitrogen molar ratio
(a) 0.6; (b) 0.7; (c) 0.8; (d) 0.9; (e) 1.0
Fig.4  Numerical simulation results of NO removal efficiencies at different ammonia-nitrogen molar ratio
Fig.5  Mass fraction of NO in the catalyst bed at different resident times
(a) 0.2s; (b) 0.4s; (c) 0.6s; (d) 0.8s; (e) 1.0s
Fig.6  Numerical simulation results of NO removal efficiencies at different resident times
Fig.7  An activity test of catalysts in an experimental scale
Fig.8  Simulation results and experimental data of the NO removal efficiency at different temperatures
1 Zhang Q. Coal Fired Power Plants SCR Nitrogen Oxides Control and Removal. Beijing: Chemical Industry Press, 2007, 16-20 (in Chinese)
2 Sun K Q, Zhong Q. Flue Gas DeNOx Technology and Engineering Applications in Thermal Power Plant. Beijing: Chemical Industry Press, 2007, 18-19 (in Chinese)
3 Hao J M, Ma G D. Air Pollution Control Engineering. Beijing: Higher Education Press, 2002, 209-210 (in Chinese)
4 Tronconi E. Interaction between chemical kinetics and transport phenomena in monolithic catalysts. Catalysis Today , 1997, 34(3-4): 421-427
doi: 10.1016/S0920-5861(96)00064-8
5 Tronconi E. The role of inter-and intra-phase mass transfer in the SCR-DeNOx reaction over catalysts of different shapes. Catalysis Today , 1999, 52(2-3): 249-258
doi: 10.1016/S0920-5861(99)00079-6
6 Busca G, Lietti L, Ramis G, Berti F. Chemical and mechanistic aspects of the selective catalytic reduction of NOx by ammonia over oxide catalysts: a review. Applied Catalysis B: Environmental , 1998, 18(1-2): 1-36
doi: 10.1016/S0926-3373(98)00040-X
7 Lietti L, Nova I, Tronconi E, Forzatti P. Transient kinetic study of the SCR-DeNOx reaction. Catalysis Today , 1998, 45(1-4): 85-92
doi: 10.1016/S0920-5861(98)00253-3
8 Nova I, Lietti L, Tronconi E, Forzatti P. Dynamics of SCR reaction over a TiO2-supported vanadia-tungsta commercial catalyst. Catalysis Today , 2000, 60(1-2): 73-82
doi: 10.1016/S0920-5861(00)00319-9
9 Tronconi E, Lietti L, Forzatti P, Malloggi S. Experimental and theoretical investigation of the dynamics of the SCR-DeNOx reaction. Chemical Engineering Science , 1996, 51(11): 2965-2970
doi: 10.1016/0009-2509(96)00182-0
10 Nova I, Lietti L, Tronconi E, Forzatti P. Transient response method applied to the kinetic analysis of the DeNOx-SCR reaction. Chemical Engineering Science , 2001, 56(4): 1229-1237
doi: 10.1016/S0009-2509(00)00344-4
[1] Huaiwei Shi, Teng Zhou. Computational design of heterogeneous catalysts and gas separation materials for advanced chemical processing[J]. Front. Chem. Sci. Eng., 2021, 15(1): 49-59.
[2] Chenggang Qiu, Alei Zhang, Sha Tao, Kang Li, Kequan Chen, Pingkai Ouyang. Combination of ARTP mutagenesis and color-mediated high-throughput screening to enhance 1-naphthol yield from microbial oxidation of naphthalene in aqueous system[J]. Front. Chem. Sci. Eng., 2020, 14(5): 793-801.
[3] Pavlo I. Kyriienko. Selective catalytic reduction of NOx with ethanol and other C1-4 oxygenates over Ag/Al2O3 catalysts: A review[J]. Front. Chem. Sci. Eng., 2020, 14(4): 471-491.
[4] Ervin Saracevic, David Woess, Franz Theuretzbacher, Anton Friedl, Angela Miltner. Techno-economic assessment of providing control energy reserves with a biogas plant[J]. Front. Chem. Sci. Eng., 2018, 12(4): 763-771.
[5] Ismael Matino, Valentina Colla, Teresa A. Branca. Extension of pilot tests of cyanide elimination by ozone from blast furnace gas washing water through Aspen Plus® based model[J]. Front. Chem. Sci. Eng., 2018, 12(4): 718-730.
[6] Juan Wang, Bin Jia, Zexiong Xie, Yunxiang Li, Yingjin Yuan. Improving prodeoxyviolacein production via multiplex SCRaMbLE iterative cycles[J]. Front. Chem. Sci. Eng., 2018, 12(4): 806-814.
[7] Stefania Moioli, Laura A. Pellegrini, Paolo Vergani, Fabio Brignoli. Study of the robustness of a low-temperature dual-pressure process for removal of CO2 from natural gas[J]. Front. Chem. Sci. Eng., 2018, 12(2): 209-225.
[8] Erik C. Neyts. Atomistic simulations of plasma catalytic processes[J]. Front. Chem. Sci. Eng., 2018, 12(1): 145-154.
[9] Jae-Yun Han, Chang-Hyun Kim, Boreum Lee, Sung-Chan Nam, Ho-Young Jung, Hankwon Lim, Kwan-Young Lee, Shin-Kun Ryi. Sorption enhanced catalytic CF4 hydrolysis with a three-stage catalyst-adsorbent reactor[J]. Front. Chem. Sci. Eng., 2017, 11(4): 537-544.
[10] Yang Zhou, Phillip Choi. Molecular dynamics study of water diffusion in an amphiphilic block copolymer with large difference in the blocks’ glass transition temperatures[J]. Front. Chem. Sci. Eng., 2017, 11(3): 440-447.
[11] Qingzhuo Wang, Shuang-Yan Tang, Sheng Yang. Genetic biosensors for small-molecule products: Design and applications in high-throughput screening[J]. Front. Chem. Sci. Eng., 2017, 11(1): 15-26.
[12] Boreum Lee,Sunggeun Lee,Ho Young Jung,Shin-Kun Ryi,Hankwon Lim. Process simulation and economic analysis of reactor systems for perfluorinated compounds abatement without HF effluent[J]. Front. Chem. Sci. Eng., 2016, 10(4): 526-533.
[13] Anan Wang,Helen H. Lou,Daniel Chen,Anfeng Yu,Wenyi Dang,Xianchang Li,Christopher Martin,Vijaya Damodara,Ajit Patki. Combustion mechanism development and CFD simulation for the prediction of soot emission during flaring[J]. Front. Chem. Sci. Eng., 2016, 10(4): 459-471.
[14] Fufeng LIU,Wenjie DU,Yan SUN,Jie ZHENG,Xiaoyan DONG. Atomistic characterization of binding modes and affinity of peptide inhibitors to amyloid-β protein[J]. Front. Chem. Sci. Eng., 2014, 8(4): 433-444.
[15] Ali SHAHMOHAMMADI,Arezou JAFARI. Application of different CFD multiphase models to investigate effects of baffles and nanoparticles on heat transfer enhancement[J]. Front. Chem. Sci. Eng., 2014, 8(3): 320-329.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed