2014 International Conference on Automatic Control Theory and Application

Optimized Research of Energy-saving of the wind system in HVAC based on Improved Ant Colony Algorithm

Authors
Li Shujiang, Wei Jingliang, Wang Xiangdong
Corresponding Author
Li Shujiang
Available Online June 2014.
DOI
10.2991/acta-14.2014.17How to use a DOI?
Keywords
air handle system; energy-saving; improved ant colony algorithm; optimization
Abstract

According to the nonlinear, time-varying variable, large lag and other properties of air handle system, the improved ant colony algorithm is adopted to optimize the air handle system energy consumption. First, mathematical model of wind system of central air conditioning energy consumption is established for improved ant colony algorithm to optimize the model of energy consumption minimization.The improved ant colony algorithm solves the defect of directly deal with continuous optimization problem using ant colony algorithm by discretizing the solution space of continuous function. The experimental results show that, the improved ant colony algorithm can be successfully used in air handle system of HVAC, and has achieved an execellent effect of energy-saving.

Copyright
© 2014, 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
2014 International Conference on Automatic Control Theory and Application
Series
Advances in Social Science, Education and Humanities Research
Publication Date
June 2014
ISBN
10.2991/acta-14.2014.17
ISSN
2352-5398
DOI
10.2991/acta-14.2014.17How to use a DOI?
Copyright
© 2014, 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  - Li Shujiang
AU  - Wei Jingliang
AU  - Wang Xiangdong
PY  - 2014/06
DA  - 2014/06
TI  - Optimized Research of Energy-saving of the wind system in HVAC based on Improved Ant Colony Algorithm
BT  - 2014 International Conference on Automatic Control Theory and Application
PB  - Atlantis Press
SP  - 67
EP  - 70
SN  - 2352-5398
UR  - https://doi.org/10.2991/acta-14.2014.17
DO  - 10.2991/acta-14.2014.17
ID  - Shujiang2014/06
ER  -