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Received May 13, 2020
Accepted October 15, 2020
- This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Mathematical and experimental modeling of reverse osmosis (RO) process
Faculty of Civil Engineering and Architecture, Shahid Chamran University of Ahvaz, Ahvaz, Iran 1Nanotechnology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
z-hadadian@phdstu.scu.ac.ir
Korean Journal of Chemical Engineering, February 2021, 38(2), 366-379(14), 10.1007/s11814-020-0697-9
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Abstract
This paper provides a mathematical simulation model for the reverse osmosis (RO) process with series elements. A mathematical simulation model was developed based on the mass, material and energy balances considering the concentration polarization. The simulation model is open-source and easy to couple with other computational tools like optimization algorithms and SCADA1 applications. An RO laboratory pilot was also set up in the Hydraulic Lab of Shahid Chamran University of Ahvaz to validate the simulation results. Comparing the results of the simulation model with the experiments and ROSA commercial software, the proposed simulation model functions well and is reliable. The comparisons indicate that the simulation results are over 96% close to ROSA and over 80% close to experimental results.
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Barello M, Manca D, Patel R, Mujtaba IM, Comput. Chem. Eng., 83, 139 (2015)
Marcovecchio MG, Aguirre PA, Scenna NJ, Desalination, 184(1-3), 259 (2005)
Geraldes V, Pereira NE, de Pinho MN, Ind. Eng. Chem. Res., 44(6), 1897 (2005)
Guria C, Bhattacharya PK, Gupta SK, Comput. Chem. Eng., 29(9), 1977 (2005)
Lu YY, Hu YD, Zhang XL, Wu LY, Liu QZ, J. Membr. Sci., 287(2), 219 (2007)
Choi YJ, Hwang TM, Oh H, Nam SH, Lee S, Jeon JC, Han SJ, Chung Y, Desalination and Water Treatment, 33, 273 (2011).
Du YW, Xie LX, Wang YX, Xu YJ, Wang SC, Ind. Eng. Chem. Res., 51(36), 11764 (2012)
Du YW, Xie LX, Liu J, Wang YX, Xu YJ, Wang SC, Desalination, 333(1), 66 (2014)
Du YW, Xie LX, Liu Y, Zhang SF, Xu YJ, Desalination, 365, 365 (2015)
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Ruiz-Saavedra E, Ruiz-Garcia A, Ramos-Martin A, Desalination and Water Treatment, 55, 2562 (2015).
Choi JS, Kim JT, J. Ind. Eng. Chem., 21, 261 (2015)
Kotb H, Amer EH, Ibrahim KA, Energy, 103, 127 (2016)
Haluch V, Zanoelo EF, Hermes CJL, Chem. Eng. Res. Des., 122, 243 (2017)
Chee KP, Wai KP, Koo CH, Chong WC, EDP Sciences, E3S Web of Conferences, 65, 05022 (2018).
Al-Obaidi MA, Alsarayreh AA, Al-Hroub AM, Alsadaie S, Mujtaba IM, Desalination, 443, 272 (2018)
Chen C, Qin H, Processes, 7, 271 (2019)
Maure OP, Mungkasi S, AIP Publishing LLC, AIP Conference Proceedings, 2202, 020043 (2019).
Li MH, Chem. Eng. Res. Des., 148, 440 (2019)
Gaublomme D, Strubbe L, Vanoppen M, Torfs E, Mortier S, Cornelissen E, De Gusseme B, Verliefde A, Nopens I, Desalination, 490, 114509 (2020)
Siegel J, Wangmo C, Cuhorka J, Otoupalikova A, Bittner M, Environ. Technol. Innovation, 17, 100584 (2020)
Ligaray M, Kim N, Park S, Park JS, Park J, Kim Y, Cho KH, Chem. Eng. J., 395, 125082 (2020)
Mansour TM, Ismail TM, Ramzy K, Abd El-Salam M, Alexandria Eng. J., 59, 3741 (2020)
DOW, FILMTEC Membranes, product information catalog, http://www.lenntech.com/feedback/feedback_uk.htm?ref_title=Filmtec/Filmtec-Reverse-Osmosis-Product-Catalog-L.pdf (2006).