Air Conditioning Units Optimize Control Strategy Based on Multi-Objective Optimization Evolutionary Algorithms

Bing Xu; Cheng Qian Xu; Zhong Jin Shi; Bao Guo Zheng; Xue Han Zhu

doi:10.4028/www.scientific.net/AMM.513-517.3568

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Air Conditioning Units Optimize Control Strategy...

Air Conditioning Units Optimize Control Strategy Based on Multi-Objective Optimization Evolutionary Algorithms

Abstract:

In order to reduce the energy consumption of air conditioning systems, the best running model is adjusting the humiture according to actual needs of environment and groups.This paper take out a control strategy based on the Multi-objective Optimization Evolutionary Algorithms.With cntrol simulation, it achieve the energy saving effect in air conditioning units groups, proposed multi-objective optimization control strategy.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

3568-3571

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.3568

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Online since:

February 2014

Authors:

Bing Xu*, Cheng Qian Xu, Zhong Jin Shi, Bao Guo Zheng, Xue Han Zhu

Keywords:

Air Conditioning Units, Evolutionary Algorithm (EA), Multi-Objective Optimization Control Strategy

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* - Corresponding Author

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