Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

The Optimization Of Boiler Operation Based On Intelligent Algorithm

Authors
Xinli Zhou
Corresponding Author
Xinli Zhou
Available Online June 2015.
DOI
10.2991/icecee-15.2015.267How to use a DOI?
Keywords
controllable operating parameters; genetic algorithm; nonlinear programming
Abstract

Boiler efficiency is influenced by many factors. In order to find and realize optimum efficiency of boiler , the concept of controllable operating parameter is introduce to select the parameters and optimize them. Finally, 3 parameters are determined to participate in optimization, namely, excess air coefficient ,exhaust gas temperature and main steam flow . Then this paper conclude the relationship between these parameters and boiler efficiency respectively. By using the function optimization algorithm based on genetic algorithm and nonlinear programming, the optimum scheme of boilers and calculate optimal solution of is achieved, that is =93.110%.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
Series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
10.2991/icecee-15.2015.267How to use a DOI?
Copyright
© 2015, 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  - Xinli Zhou
PY  - 2015/06
DA  - 2015/06
TI  - The Optimization Of Boiler Operation Based On Intelligent Algorithm
BT  - Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 1429
EP  - 1434
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.267
DO  - 10.2991/icecee-15.2015.267
ID  - Zhou2015/06
ER  -