Implementation and validation of an artificial neural network for predicting the performance of a liquid desiccant dehumidifier-Reference-Cited by-同舟云学术

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Implementation and validation of an artificial neural network for predicting the performance of a liquid desiccant dehumidifier

Published:2013-03 Issue: Volume:67 Page:240-250
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Mohammad Abdulrahman Th.,Mat Sohif Bin,Sulaiman M.Y.,Sopian K.,Al-abidi Abduljalil A.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. Howel JR. A survey of active solar cooling method. In: Goswami DY. editor, Progress in solar, engineering; 1987. pp. 171–82.

2. Experimental studies on dehumidifier and regenerator of a liquid desiccant cooling system;Jain;Appl Therm Eng,2000

3. Desiccant augmented evaporative cooling: an emerging air-conditioning alternative;Jain,2001

4. Heat and mass transfer model of cross flow liquid desiccant air dehumidifier/regenerator;Liu;Energy Convers Manage,2007

5. Bassuoni MM. An experimental study of structured packing dehumidifier/regenerator operating with liquid desiccant. Energy 2011. pp. 1–11.

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