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

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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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  -