The Research of Energy Saving Optimization of Central Air-conditioning System of Hybrid Approach of ACO and Ant-Group algorithm
Central air-conditioning system energy saving system optimization is a problem of multi-parametric nonlinear system optimization. The self-adaptive Ant-Group algorithm is an ideal solution to this problem, but there is possibility for it to make the airconditioning system come to local optimal solutions. In terms of this, this article proposes applying both Metropolis Criterion and Analog-Anneal algorithm to improve overall optimality, analyses the algorithm convergence, and provides the conditions of convergence to probability 1. The algorithm applicative results in the air-conditioning system energy saving optimization have been verified in this article. The results show that the application of this algorithm can make the robustness of the airconditioning control system increase, and that the energy saving rate of this system may be up to 26.81％. Therefore, the results of this research possess wide application values.
Energy saving Optimization Ant-Group algorithm Air-conditioning system. application
Yuqiang Nie Hongtao Fu
The Office of Chief Engineers of Foshan Architectural Design Institute, Guangdong, 528000, China Environment Science and Engineering College, Chang’an University, Xi’an, 710068, China
国际会议
北京
英文
2007-09-07（万方平台首次上网日期，不代表论文的发表时间）