Artificial neural network analysis of liquid desiccant dehumidifier performance in a solar hybrid air-conditioning system

Abdulrahman Th Mohammad, Sohif Mat, M. Y. Sulaiman, Kamaruzzaman Sopian, Abduljalil A. Al-Abidi

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

A new solar hybrid liquid desiccant air conditioning system has been tested and simulated to investigate the technical feasibility of cooling systems for greenhouse applications using weather data for Malaysia. In this paper, experimental tests are carried out to investigate the performance of a counter flow dehumidifier using lithium chloride (LiCl) solution as the desiccant. A single and multilayer artificial neural network is used to predict the performance of the dehumidifier. Five parameters are used as inputs to the ANN, namely: air and desiccant flow rates, air inlet humidity ratio, and air and desiccant inlet temperatures. The outputs of the ANN are the temperature, humidity ratio, moisture removal rate, and the effectiveness. ANN predictions for these parameters are compared with the experimental values. The results show that the optimum testing model for moisture removal rate in the dehumidifier was the 5-5-5-1 structure with R2 = 0.91, whereas the optimum testing model for effectiveness was the 5-11-11-1 structure with R2 = 0.79. The maximum temperature and humidity ratio difference between the ANN model and experimental are 1.2 C and 1.9 g/kg, respectively.

Original languageEnglish
Pages (from-to)389-397
Number of pages9
JournalApplied Thermal Engineering
Volume59
Issue number1-2
DOIs
Publication statusPublished - 2013

Fingerprint

Electric network analysis
Air conditioning
Atmospheric humidity
Neural networks
Liquids
Moisture
Air intakes
Greenhouses
Testing
Air
Cooling systems
Temperature
Multilayers
Lithium
Flow rate

Keywords

  • ANN
  • Dehumidifier
  • Desiccant
  • Effectiveness

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering

Cite this

Artificial neural network analysis of liquid desiccant dehumidifier performance in a solar hybrid air-conditioning system. / Mohammad, Abdulrahman Th; Mat, Sohif; Sulaiman, M. Y.; Sopian, Kamaruzzaman; Al-Abidi, Abduljalil A.

In: Applied Thermal Engineering, Vol. 59, No. 1-2, 2013, p. 389-397.

Research output: Contribution to journalArticle

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