A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system

In this paper, a simplified, yet accurate hybrid model to predict the heat and mass transfer processes in a packed column liquid desiccant dehumidifier is developed. Starting from energy and mass balance principles, and by lumping the geometric parameters and fluids’ thermodynamic coefficients as co...

Full description

Saved in:
Bibliographic Details
Main Authors: Wang, Xinli, Cai, Wenjian, Lu, Jiangang, Sun, Youxian, Ding, Xudong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/101330
http://hdl.handle.net/10220/16788
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-101330
record_format dspace
spelling sg-ntu-dr.10356-1013302020-03-07T14:02:44Z A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system Wang, Xinli Cai, Wenjian Lu, Jiangang Sun, Youxian Ding, Xudong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this paper, a simplified, yet accurate hybrid model to predict the heat and mass transfer processes in a packed column liquid desiccant dehumidifier is developed. Starting from energy and mass balance principles, and by lumping the geometric parameters and fluids’ thermodynamic coefficients as constants, the derived model only requires two equations together with total seven parameters for predicting the heat and mass transfer status in the dehumidifier. Commissioning information together with Levenberg–Marquardt method can be used to identify these parameters. Compared with the existing liquid desiccant dehumidification system dehumidifier models, the proposed model is very simple, accurate and does not require iterative computations. Experimental results demonstrate their effectiveness in predicting heat and transfer performances over a wide operating range. The model is expected to be applied in operational optimization, performance assessment, fault detection and diagnosis in liquid desiccant dehumidification system. 2013-10-24T07:21:15Z 2019-12-06T20:36:48Z 2013-10-24T07:21:15Z 2019-12-06T20:36:48Z 2013 2013 Journal Article Wang, X., Cai, W., Lu, J., Sun, Y., & Ding, X. (2013). A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system. Applied energy, 111, 449-455. 0306-2619 https://hdl.handle.net/10356/101330 http://hdl.handle.net/10220/16788 10.1016/j.apenergy.2013.05.026 en Applied energy
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Wang, Xinli
Cai, Wenjian
Lu, Jiangang
Sun, Youxian
Ding, Xudong
A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system
description In this paper, a simplified, yet accurate hybrid model to predict the heat and mass transfer processes in a packed column liquid desiccant dehumidifier is developed. Starting from energy and mass balance principles, and by lumping the geometric parameters and fluids’ thermodynamic coefficients as constants, the derived model only requires two equations together with total seven parameters for predicting the heat and mass transfer status in the dehumidifier. Commissioning information together with Levenberg–Marquardt method can be used to identify these parameters. Compared with the existing liquid desiccant dehumidification system dehumidifier models, the proposed model is very simple, accurate and does not require iterative computations. Experimental results demonstrate their effectiveness in predicting heat and transfer performances over a wide operating range. The model is expected to be applied in operational optimization, performance assessment, fault detection and diagnosis in liquid desiccant dehumidification system.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Xinli
Cai, Wenjian
Lu, Jiangang
Sun, Youxian
Ding, Xudong
format Article
author Wang, Xinli
Cai, Wenjian
Lu, Jiangang
Sun, Youxian
Ding, Xudong
author_sort Wang, Xinli
title A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system
title_short A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system
title_full A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system
title_fullStr A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system
title_full_unstemmed A hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system
title_sort hybrid dehumidifier model for real-time performance monitoring, control and optimization in liquid desiccant dehumidification system
publishDate 2013
url https://hdl.handle.net/10356/101330
http://hdl.handle.net/10220/16788
_version_ 1681040996927799296