| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4483113 | Water Research | 2012 | 9 Pages |
The objective of this study is to further develop previously reported mechanistic predictive model that simulates boron removal in full-scale seawater reverse osmosis (RO) desalination processes to take into account the effect of membrane fouling. Decrease of boron removal and reduction in water production rate by membrane fouling due to enhanced concentration polarization were simulated as a decrease in solute mass transfer coefficient in boundary layer on membrane surface. Various design and operating options under fouling condition were examined including single- versus double-pass configurations, different number of RO elements per vessel, use of RO membranes with enhanced boron rejection, and pH adjustment. These options were quantitatively compared by normalizing the performance of the system in terms of Emin, the minimum energy costs per product water. Simulation results suggested that most viable options to enhance boron rejection among those tested in this study include: i) minimizing fouling, ii) exchanging the existing SWRO elements to boron-specific ones, and iii) increasing pH in the second pass. The model developed in this study is expected to help design and optimization of the RO processes to achieve the target boron removal at target water recovery under realistic conditions where membrane fouling occurs during operation.
Graphical abstractFigure optionsDownload full-size imageDownload high-quality image (209 K)Download as PowerPoint slideHighlights► Boron removal in full-scale RO desalination processes was simulated. ► Effect of membrane fouling on boron removal was considered. ► Fouling was simulated as decrease in mass transfer coefficient in membrane boundary layer. ► Simulations suggest several strategies to control boron in full-scale processes. ► Minimizing fouling, exchanging to boron-specific elements, and pH adjustment are recommended.
