References

  1. A. Jiang, J. Wang, L.T. Biegler, W. Cheng, C. Xing, Z. Jiang, Operational cost optimization of a full-scale SWRO system under multi-parameter variable conditions, Desalination, 355 (2015) 124–140.
  2. H. Hyung, J.H. Kim, A mechanistic study on boron rejection by sea water reverse osmosis membranes, J. Membr. Sci., 286 (2006) 269–278.
  3. P.V.X. Hung, S.H. Cho, S.H. Moon, Prediction of boron transport through seawater reverse osmosis membranes using solution– diffusion model, Desalination, 247 (2009) 33–44.
  4. O. Nir, O. Lahav, Chapter 14 – Single SWRO pass boron removal at high pH: prospects and challenges, In Boron Separation Processes, N. Kabay, M. Bryjak, N. Hilal, eds., Elsevier, Amsterdam, 2015, pp. 297–323.
  5. O. Nir, L. Ophek, O. Lahav, Acid–base dynamics in seawater reverse osmosis: experimental evaluation of a reactive transport algorithm, Environ. Sci.: Water Res. Technol., 2 (2016) 107–116.
  6. D.L. Parkhurst, C. Appelo, User’s guide to PHREEQC (Version 2): a computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations, United States Geological Survey, USA (1999).
  7. M. Taniguchi, M. Kurihara, S. Kimura, Behavior of a reverse osmosis plant adopting a brine conversion two-stage process and its computer simulation, J. Membr. Sci., 183 (2001) 249–257.
  8. K.M. Sassi, I.M. Mujtaba, MINLP based superstructure optimization for boron removal during desalination by reverse osmosis, J. Membr. Sci., 440 (2013) 29–39.
  9. L. Ophek, L. Birnhack, O. Nir, E. Binshtein, O. Lahav, Reducing the specific energy consumption of 1st-pass SWRO by application of high-flux membranes fed with high-pH, decarbonated seawater, Water Res., 85 (2015) 185–192.
  10. M. Taniguchi, S. Kimura, Estimation of transport parameters of RO membranes for seawater desalination, AIChE J., 46 (2000) 1967–1973.
  11. O. Nir, E. Marvin, O. Lahav, Accurate and self-consistent procedure for determining pH in seawater desalination brines and its manifestation in reverse osmosis modelling, Water Res., 64 (2014) 187–195.