Development of event-driven optimal control for central air-conditioning systems

Jin Hou, Xiaowei Luo, Gongsheng Huang*, Linfeng Zhang, Zhun (Jerry) Yu, Mahroo Eftekhari

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

7 Citations (Scopus)

Abstract

Event-driven optimal control was recently developed for central air-conditioning systems to speed up the response of optimal control to irregular changes in the system optioning conditions. In a time-driven paradigm usually, the optimization is carried out with a constant frequency, however the event-driven optimal control triggers optimization actions by events, which will be essentially defined to catch up with the irregular changes. Considering that the occurrence of events should imply the necessity to execute optimization, this paper investigates the necessity of optimization actions, based on which a new method to develop event-driven optimal control law is proposed. This can naturally lead to the establishment of an event-action map. This map indicates that not all the decision variables should be optimized when an event occurs, different from other methods that require optimizing all decision variables. The merits of the new method were also demonstrated using several case studies.
Original languageEnglish
Pages (from-to)378-390
JournalJournal of Building Performance Simulation
Volume13
Issue number3
Online published17 Mar 2020
DOIs
Publication statusPublished - 2020

Research Keywords

  • air-conditioning system
  • energy efficiency
  • event-driven optimization
  • Real-time optimal control

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