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Optimization methodology to study/estimate permeability in reverse osmosis desalination

Title
Optimization methodology to study/estimate permeability in reverse osmosis desalination
Author
김우승
Keywords
Reverse osmosis; Desalination; Optimization; Simulation; Permeability; SPIRAL-WOUND MODULES; SPACER-FILLED CHANNELS; MASS-TRANSFER; PARAMETER-ESTIMATION; ANALYTICAL-MODEL; MEMBRANE; PERFORMANCE; SIMULATION; WATER; SALT
Issue Date
2015-05
Publisher
TAYLOR & FRANCIS INC
Citation
DESALINATION AND WATER TREATMENT, v. 54, No. 9, Page. 2343-2356
Abstract
In order to establish a method for the prediction of permeability, the significance of permeability in simulating a reverse osmosis (RO) module is studied. An optimization methodology incorporating the simulation model was established to estimate the water and salt permeability, and a number of correlations were studied to represent them. Optimized correlations were then validated over a wide range of operating conditions for a typical RO system for seawater desalination (50-80 bar, 20-35 degrees C, and 25-40 kg m(-3)). Using these permeability correlations, the model satisfactorily predicted two different published experimental observations: (1) predicted the permeate flow rate within a 5% error for 88% of the readings and the permeate concentration within a 10% error for 92% of the readings, and (2) predicted the permeate flow rate within a 6.2% error for 94% of the readings and the permeate concentration within an 8% error for 91% of the readings. The relative deviation between the experimental and predicted results using this procedure is 56% less than the published predicted result. Thus, a method to reliably determine a single permeability correlation for each of the water and salt permeability was established.
URI
http://www.tandfonline.com/doi/abs/10.1080/19443994.2014.900458http://hdl.handle.net/20.500.11754/36233
ISSN
1944-3994; 1944-3986
DOI
10.1080/19443994.2014.900458
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MECHANICAL ENGINEERING(기계공학과) > Articles
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