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Experimental study of a novel capacity control algorithm for a multi-evaporator air conditioning system

  • Xu Xiangguo
  • , Pan Yan
  • , Shiming Deng
  • , Xia Liang
  • , Ming Yin Jonathan Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

The use of a multi-evaporator air conditioning (MEAC) system is advantageous in terms of installation convenience, high design flexibility, being easy to maintain and commission, better indoor thermal comfort control and higher energy efficiency. While MEAC units worth billions of dollars are sold worldwide, the detailed accounts on compressor capacity control and refrigeration flow distribution amongst evaporators remain unavailable in public domain, mainly due to commercial confidentiality. Limited control algorithms for MEAC systems have been developed based on system simulation, and no experimental-based capacity controller developments and their controllability tests may be identified in open literature. In the study reported in this paper, a novel capacity control algorithm, which imitated On-Off control of a single evaporator air conditioning (A/C) system in each indoor unit of a MEAC system by using variable speed compressor and electronic expansion valves (EEVs), was developed. Controllability tests under various settings for experimentally validating the novel capacity control algorithm were carried out and the control algorithm was further improved based on the experimental results.
Original languageEnglish
Pages (from-to)975-984
Number of pages10
JournalApplied Thermal Engineering
Volume50
Issue number1
DOIs
Publication statusPublished - 1 Jan 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Air conditioning
  • Control
  • Direct expansion
  • Evaporator
  • Experimentation
  • Multizone system

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering

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