Identification of physically based models of residential air-conditioners for direct load control management

  • Sami El-Férik*
  • , Syed Ameenuddin Hussain
  • , Fouad M. Al-Sunni
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

In this work, we address the problem of identifying the parameters of an aggregated elemental model representing a housing unit with an A/C system. The identification is done to validate the model using a pilot house with an air conditioner system. An online maximum-likelihood based identification algorithm is developed for A/C, the required hardware and system instrumentation are detailed. A sensitivity analysis study of the model for variations in humidity and solar radiation is also reported.

Original languageEnglish
Title of host publication2004 5th Asian Control Conference
Pages2079-2087
Number of pages9
StatePublished - 2004

Publication series

Name2004 5th Asian Control Conference
Volume3

Keywords

  • Identification
  • Jump Markov models
  • Load modeling
  • Renewal processes

ASJC Scopus subject areas

  • General Engineering

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