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DOI: https://doi.org/10.4491/eer.2017.098
Optimization of chemical cleaning for reverse osmosis membranes with organic fouling using statistical design tools
Ki-Bum Park1, Changkyoo Choi1, Hye-Weon Yu1, So-Ryong Chae2, and In S. Kim1
1Global Desalination Research Center (GDRC), School of Earth Sciences and Environmental Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea
2Department of Biomedical, Chemical, and Environmental Engineering, University of Cincinnati, 701 Engineering Research Center, Cincinnati, OH 45221, U.S.A.
Corresponding Author: In S. Kim ,Tel: +82-62-715-2436 , Fax: +82-62-715-2434, Email: iskim@gist.ac.kr
Received: July 28, 2017;  Accepted: May 3, 2018.
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both chemical (type of cleaning agent, concentration of cleaning solution) and physical (cleaning time, flowrate, temperature) parameters. In attempting to determine the optimal procedures for chemical cleaning organic-fouled RO membranes, the design of experiments concept was employed to evaluate key factors and to predict the flux recovery rate (FRR) after chemical cleaning. From experimental results and based on the predicted FRR of cleaning obtained using the Central Composite Design of Minitab 17, a modified regression model equation was established to explain the chemical cleaning efficiency; the resultant regression coefficient (R2) and adjusted R2 were 83.95% and 76.82%, respectively. Then, using the optimized conditions of chemical cleaning derived from the response optimizer tool (cleaning with 0.68 wt% disodium ethylenediaminetetraacetic acid for 20 min at 20°C with a flowrate of 409 mL/min), a flux recovery of 86.6% was expected. Overall, the results obtained by these experiments confirmed that the equation was adequate for predicting the chemical cleaning efficiency with regards to organic membrane fouling.
Keywords: Chemical cleaning | Design of experiment | Organic fouling | Reverse osmosis membrane
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