Optimal control strategy of central air-conditioning systems of buildings at morning start period for enhanced energy efficiency and peak demand limiting

Rui Tang, Shengwei Wang, Kui Shan, Howard Cheung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)

Abstract

Air-conditioning systems in commercial buildings are usually switched on before office hour to precool buildings to create an acceptable working environment at the beginning of the office hour in cooling seasons. However, due to high cooling demand during morning start period particularly in hot seasons, often much higher than the capacity of cooling supply, the feedback control strategies in air-conditioning systems often fail to control this cooling process properly. The imbalanced cooling distribution and large difference of cooling-down speeds among different spaces result in the need of significantly extended precooling duration as well as over-speeding of water pumps and fans that lead to serious energy waste and high peak demand. An optimal control strategy is therefore developed to determine the number and schedule of operating chillers and particularly to achieve an optimal cooling distribution among individual spaces. Case studies are conducted and results show that the proposed control strategy could shorten the precooling time about half an hour because of similar cooling-down speeds among individual zones. The energy consumption of the air-conditioning system during morning start period is also reduced over 50%. In addition, the peak demand is reduced significantly contributed by the improved controls of secondary pumps and fans.

Original languageEnglish
Pages (from-to)771-781
Number of pages11
JournalEnergy
Volume151
DOIs
Publication statusPublished - 15 May 2018

Keywords

  • Air-conditioning
  • Building energy efficiency
  • Indoor environment control
  • Peak load limiting
  • Precooling control

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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