Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

Effect Analysis of Different Combustion Models on the Combustion in Foursquare Tangential Circle Boiler by Numerical Simulation

Authors
Lei Du, Yue Guo, Long Jiang, Qing Li, Zhenning Zhao
Corresponding Author
Lei Du
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.82How to use a DOI?
Keywords
Pulverized coal boiler; mixture fraction/probability density function model; eddy break up model; numerical simulation.
Abstract

The mixture fraction/probability density function (PDF) model and eddy break up (EBU) model were used to simulate the combustion in a 200MW foursquare tangential circle boiler, calculating the flue gas velocity field, temperature field and combustion product concentration distribution in the furnace. The calculated outlet oxygen concentration and coal burning rate via EBU model were 2.7% and 98.38%, and were 3.0% and 98.82% for PDF model; the convergence time of EBU model is half of PDF model.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.82How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Du
AU  - Yue Guo
AU  - Long Jiang
AU  - Qing Li
AU  - Zhenning Zhao
PY  - 2016/11
DA  - 2016/11
TI  - Effect Analysis of Different Combustion Models on the Combustion in Foursquare Tangential Circle Boiler by Numerical Simulation
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 459
EP  - 463
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.82
DO  - https://doi.org/10.2991/aiea-16.2016.82
ID  - Du2016/11
ER  -