Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

CFD Study on Selective Catalytic Reduction of 660MW Unit

Authors
Dazhou Zhao, Sheng He, Wenguang Zheng
Corresponding Author
Dazhou Zhao
Available Online March 2016.
DOI
https://doi.org/10.2991/icmmct-16.2016.154How to use a DOI?
Keywords
selective catalytic reductionï¼›detailed reaction kineticsï¼›specific surface areaï¼›ammonia injection strategy
Abstract
A three-dimensional SCR reactor model of 660MW coal fired unit was established by using FLUENT coupled detailed reaction kinetics. The effect of different ammonia injection strategies and the specific surface area of catalyst on the denitrification reaction were studied by the model. The results show that:for the catalysts just putting into operation,denitrification reaction was mainly accomplished in the first layer catalyst,the second layer catalyst mainly plays a role in the absorption of ammonia. The effect of denitrification was the same whether using 30 zones ammonia injection strategy or using 10 zones ammonia injection strategy. When SCR catalysts were putting into operation after a period of time,as the first layer catalyst has the problem of plug and wear,the denitrification efficiency was reduced and the ammonia slip was increased. At this point,the effect of 30 zones ammonia injection strategy was slightly better than 10 zones ammonia injection strategy.
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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.154How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Dazhou Zhao
AU  - Sheng He
AU  - Wenguang Zheng
PY  - 2016/03
DA  - 2016/03
TI  - CFD Study on Selective Catalytic Reduction of 660MW Unit
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 784
EP  - 791
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.154
DO  - https://doi.org/10.2991/icmmct-16.2016.154
ID  - Zhao2016/03
ER  -