A simple dynamic model of dehumidifier for control and optimization in LDDS

Xianhua Ou, Xiongxiong He, Wenjian Cai, Qingguo Wang, Yiming Wu

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

Abstract

In this paper, a hybrid dynamic model of de-humidifier is proposed to predict heat and mass transfer process in packed-bed liquid desiccant dehumidification system. Based on the heat and mass balance principles, and using lumped parameters method, two difference equations with seven parameters for predict the outlet air temperature and humidity ratio are derived. The unknown model parameters are identified using linear and nonlinear least squares method with the experimental data. The experimental results show that the developed model provides a good accuracy to predict the real performance of dehumidification process with the maximum error of 10%. The proposed model will have wide applications in real-time monitoring, control and operational optimization.

Original languageEnglish
Title of host publicationProceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages731-736
Number of pages6
ISBN (Electronic)9781509026050
DOIs
Publication statusPublished - 19 Oct 2016
Event11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016 - Hefei, China
Duration: 5 Jun 20167 Jun 2016

Publication series

NameProceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016

Conference

Conference11th IEEE Conference on Industrial Electronics and Applications, ICIEA 2016
Country/TerritoryChina
CityHefei
Period5/06/167/06/16

Keywords

  • Dehumidifier
  • Heat and mass transfer
  • Hybrid modeling
  • Liquid desiccant dehumidification system

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Control and Optimization

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