Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

Study on the Strategy of Path Optimization on the Process of Air Handling Based on Genetic Algorithm

Authors
Jiwan Hu, Jianjian Li, Wude Xie, Qiang Peng
Corresponding Author
Jiwan Hu
Available Online September 2016.
DOI
10.2991/icence-16.2016.116How to use a DOI?
Keywords
Air-conditioning unit; Psychrometric chart; Genetic algorithm; Optimal path
Abstract

With its great ability on controlling air parameters, combined air-conditioning unit is playing an increasingly important role in civilian life, industrial production and even military fields. Because of the variety of varied path, while the environment changed, the optimal varied path can't be got, and the unit can't be in the best operating state, which waste the energy serious. Through the analysis of the structure and principles of the unit, the paper aimed at studying the air condition on the psychrometric chart. And then use genetic algorithm to get the optimal value, finally the optimal varied path in the process of air treatment, which improving the efficiency of the unit greatly, and reducing the energy consumption.

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 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
10.2991/icence-16.2016.116
ISSN
2352-538X
DOI
10.2991/icence-16.2016.116How 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  - Jiwan Hu
AU  - Jianjian Li
AU  - Wude Xie
AU  - Qiang Peng
PY  - 2016/09
DA  - 2016/09
TI  - Study on the Strategy of Path Optimization on the Process of Air Handling Based on Genetic Algorithm
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 614
EP  - 620
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.116
DO  - 10.2991/icence-16.2016.116
ID  - Hu2016/09
ER  -