Optimization Control of Ice Storage Air-Conditioning System

Ting Wu; Gang Wu; Zhe Jing Bao; Wen Jun Yan

doi:10.4028/www.scientific.net/AMR.655-657.1492

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 655-657Optimization Control of Ice Storage...

Optimization Control of Ice Storage Air-Conditioning System

Abstract:

Ice storage air-conditioning system can bring benefits to power supplier and consumers for its advantage of shifting power consumption at peak hours during day to the off-peak hours at night. In this paper, we adopted an improved particle swarm optimization algorithm to develop an optimal control strategy for ice storage air-conditioning system with the aim of minimizing operation cost subject to various operational constrains. Comparing with the usual chiller-priority and ice-storage-priority control strategy, the proposed control scheme can not only meet the building cooling load but also achieve the minimum operation cost.

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Periodical:

Advanced Materials Research (Volumes 655-657)

Pages:

1492-1495

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.655-657.1492

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Online since:

January 2013

Authors:

Ting Wu, Gang Wu, Zhe Jing Bao, Wen Jun Yan

Keywords:

Chiller-Priority, Ice Storage Air-Conditioning System, Ice-Storage-Priority, Improved Particle Swarm Optimization Algorithm

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References

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