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Optimization control of ice storage air-conditioning system

  • Ting Wu*
  • , Gang Wu
  • , Zhejing Bao
  • , Wenjun Yan
    • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

Original languageEnglish
Title of host publicationEngineering Solutions for Manufacturing Processes
Pages1492-1495
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012 - Beihai, China
Duration: 22 Dec 2012 → 23 Dec 2012

Publication series

NameAdvanced Materials Research
Volume655-657
ISSN (Print)1022-6680

Conference

Conference2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012
Country/TerritoryChina
CityBeihai
Period22/12/12 → 23/12/12

Keywords

  • Chiller-priority
  • Ice storage air-conditioning system
  • Ice-storage-priority
  • Improved particle swarm optimization algorithm

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