Performance and Optimization of Air Gap Membrane Distillation System for Water Desalination

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• 作者：Atia E. Khalifa ; Dahiru U. Lawal
• 关键词：Water desalination ; Air gap membrane distillation (AGMD) ; Module design ; Performance measurements ; Optimization using Taguchi methodology ; Regression analysis
• 刊名：Arabian Journal for Science and Engineering
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：40
• 期：12
• 页码：3627-3639
• 全文大小：1,673 KB
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• 作者单位：Atia E. Khalifa (1)
  Dahiru U. Lawal (1)
  
  1. Mechanical Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia
  
• 刊物类别：Engineering
• 刊物主题：Engineering, general
  Mathematics
  Science, general
  
• 出版者：Springer Berlin / Heidelberg

文摘

Membrane distillation is a developing thermally driven membrane separation technology used for water desalination. The air gap membrane distillation (AGMD) is one of the important basic configurations for applying this technology. The performance of AGMD system is experimentally investigated at different operating and design variables, including feed temperature, feed flow rate, coolant temperature, coolant flow rate, and air gap width. Taguchi method and applied regression were employed to model and optimize the performance of the AGMD system, by obtaining the best parameters combination based on three different levels of significant variables. Analysis of variance was performed to determine the effect of each factor on the system’s performance. A regression model was subsequently generated for calculating the performance of the AGMD system. Feed temperature and the air gap width are the most effective parameters on the performance of AGMD system. The measured and calculated optimal fluxes were found to be 76.0457 and 74.5916 kg/m2 hr; respectively. The percentage difference between model calculations and the experimental results at optimum conditions is 1.95 %. Keywords Water desalination Air gap membrane distillation (AGMD) Module design Performance measurements Optimization using Taguchi methodology Regression analysis