Numerical Modeling of Capacitive Deionization Desalination and Studying the Effect of Effective Parameters on Its Performance

Document Type : Research Paper


1 PhD Student, Dept. of Mechanical Engineering, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran

2 Prof., Dept. of Mechanical Engineering, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran

3 Assist. Prof. Dept. of Shipbuilding Engineering, Faculty of Marine Engineering, Chabahar Maritime University, Chabahar, Iran

4 Prof., Dept. of Process Engineering and Chemical Technology, Faculty of Chemistry, Gdańsk University of Technology, Gdańsk, Poland

5 Assoc. Prof., Dept. of Mechanical Engineering, Faculty of Engineering, University of Sistan and Baluchestan, Zahedan, Iran


Due to the lack of fresh water, production of potable water is one of the important issues for mankind. Capacitive deionization is one of the methods that has recently attracted the attention of researchers due to its simplicity, low price and low energy consumption. The main challenge of this method is high energy consumption at high water concentrations. Therefore, this paper aims to investigate the effect of different effective parameters to improve the system performance. These parameters include feeding voltage, process time, electrode surface area and its capacitance value, overall transfer coefficient, volumetric flow rate and concentration of the feed water, and micropores’ volume, whose effects on energy consumption and number of cycles required to produce potable water are investigated. Results showed that the electrode capacitance and micropores’ volume decreased the necessary process cycles (reducing desalination process time) to produce potable water without significant changes in the energy consumption. The feeding voltage, volumetric flow rate and concentration of the feed water significantly affected the process time and energy consumption. For feed water concentration between 5 and 25 mM, results showed that the minimum values for the desalination process time, electrode surface area, and overall transfer coefficient, are 400 s, 50 cm2 and 0.9 µm/s, respectively. To improve the performance of desalination process in the capacitive deionization cell, development on the physical properties (increasing micropores) and the electrical properties (increasing capacitance value) of the electrodes, as the most important parameters, is suggested.


Al-Karaghouli, A. & Kazmerski, L. L. 2013. Energy consumption and water production cost of conventional and renewable-energy-powered desalination processes. Renewable and Sustainable Energy Reviews, 24, 343–356.
Avraham, E., Noked, M., Cohen, I., Soffer, A. & Aurbach, D. 2011. The dependence of the desalination performance in capacitive deionization processes on the electrodes PZC. Journal of The Electrochemical Society, 158(12), P168.
Biesheuvel, P. M., Zhao, R., Porada, S. & Van Der Wal, A. 2011. Theory of membrane capacitive deionization including the effect of the electrode pore space. Journal of Colloid and Interface Science, 360, 239–248.
Blair, J. W. & Murphy, G. W. 1960. Electrochemical Demineralization of Water with Porous Electrodes of Large Surface Area. In: Alexander, A. H., Scribner, B. F., Edelstein, S. M., Sparks, W. J., McCrone Jr, W. C., Ullyot, G. E., et al., ed. Saline Water Conversion, 206–223.
Chang, J., Duan, F., Cao, H., Tang, K., Su, C. & Li, Y. 2019. Superiority of a novel flow-electrode capacitive deionization (FCDI) based on a battery material at high applied voltage. Desalination, 468, 114080.
Farmer, J. C., Fix, D. V., Mack, G. V., Pekala, R. W. & Poco, J. F. 1996. Capacitive deionization of NaCl and NaNO3 solutions with carbon aerogel electrodes. Journal of the Electrochemical Society, 143, 159–169.
Gao, X., Omosebi, A., Landon, J. & Liu, K. 2015. Surface charge enhanced carbon electrodes for stable and efficient capacitive deionization using inverted adsorption-desorption behavior. Energy and Environmental Science, 8, 897–909.
He, Z., Liu, S., Lian, B., Fletcher, J., Bales, C., Wang, Y., et al. 2021. Optimization of constant-current operation in membrane capacitive deionization (MCDI) using variable discharging operations. Water Research, 204, 117646.
Hemmatifar, A., Palko, J. W., Stadermann, M. & Santiago, J. G. 2016. Energy breakdown in capacitive deionization. Water Research,104, 303–311.
Jeon, S. I., Park, H. R., Yeo, J. G., Yang, S., Cho, C. H., Han, M. H., et al. 2013. Desalination via a new membrane capacitive deionization process utilizing flow-electrodes. Energy and Environmental Science, 6(5), 1471-1475.
Johnson, A. M. & Newman, J. 1971. Desalting by means of porous carbon electrodes. Journal of the Electrochemical Society, 118(3), 510.
Kucera, J. 2019. Desalination: Water from Water. 2nd Edition, Wiley. John Wiley & Sons, New York, USA.
Lee, J., Kim, S., Kim, C. & Yoon, J. 2014. Hybrid capacitive deionization to enhance the desalination performance of capacitive techniques. Energy and Environmental Science, 7(11), 3683-3689.
Lee, J. B., Park, K. K., Eum, H. M. & Lee, C. W. 2006. Desalination of a thermal power plant wastewater by membrane capacitive deionization. Desalination, 196, 125–134.
Lenz, M., Wagner, R., Hack, E. & Franzreb, M. 2020. Object-oriented modeling of a capacitive deionization process. Frontiers in Chemical Engineering, 2, 3.
Lin, P., Liao, M., Yang, T., Sheng, X., Wu, Y. & Xu, X. 2020. Modification of metal-organic framework-derived nanocarbons for enhanced capacitive deionization performance: a mini-review. Frontiers in Chemistry, 8, 575350.
Ma, J., Liang, P., Sun, X., Zhang, H., Bian, Y., Yang, F., et al. 2019. Energy recovery from the flow-electrode capacitive deionization. Journal of Power Sources, 421, 50–55.
Oren, Y. & Soffer, A. 1983. Water desalting by means of electrochemical parametric pumping: I. the equilibrium properties of a batch unit cell. Journal of Applied Electrochemistry, 13(4), 473-487.
Oren, Y. & Soffer, A. 1978. Electrochemical parametric pumping. Journal of the Electrochemical Society, 125(6), 869-875.
Pasta, M., Wessells, C. D., Cui, Y. & La Mantia, F. 2012. A desalination battery. Nano Letters, 12(2), 839-843.
Porada, S., Sales, B. B., Hamelers, H. V. M. & Biesheuvel, P. M. 2012. Water desalination with wires. The Journal of Physical Chemistry Letters, 3(12), 1613–1618.
Porada, S., Zhao, R., Van Der Wal, A., Presser, V. & Biesheuvel, P. M. 2013. Review on the science and technology of water desalination by capacitive deionization. Progress in Materials Science, 58(8), 1388-1442.
Rommerskirchen, A., Ohs, B., Hepp, K. A., Femmer, R. & Wessling, M. 2018. Modeling continuous flow-electrode capacitive deionization processes with ion-exchange membranes. Journal of Membrane Science, 546, 188–196.
Ryu, J. H., Kim, T. J., Lee, T. Y. & Lee, I. B. 2010. A study on modeling and simulation of capacitive deionization process for wastewater treatment. Journal of the Taiwan Institute of Chemical Engineers, 4, 506–511.
Shi, W., Ye, C., Xu, X., Liu, X., Ding, M., Liu, W., el al. 2018. High-performance membrane capacitive deionization based on metal-organic framework-derived hierarchical carbon structures. ACS Omega, 3(8), 8506–8513.
Spiegler, K. S. & El-Sayed, Y. M. 2001. The energetics of desalination processes. Desalination, 134, 109–128.
Suss, M. E., Porada, S., Sun, X., Biesheuvel, P. M., Yoon, J. & Presser, V. 2015. Water desalination via capacitive deionization: What is it and what can we expect from it? Energy and Environmental Science, 8(8), 2296-2319.
Tang, K., Kim, Y. H., Chang, J., Mayes, R. T., Gabitto, J., Yiacoumi, S., et al. 2019a. Seawater desalination by over-potential membrane capacitive deionization: opportunities and hurdles. Chemical Engineering Journal, 357, 103–111.
Tang, W., Liang, J., He, D., Gong, J., Tang, L., Liu, Z., et al. 2019b. Various cell architectures of capacitive deionization: recent advances and future trends. Water Research, 150, 225-251.
Torabian, A., Zamani, M., 2020. Drinking Water - Physical and Chemical Specifications. Institute of Standards and Industrial Research of Iran (ISIRI), Tehran, Iran. (In Persian)
Yao, S. & Ji, M. 2020. A small RO and MCDI coupled seawater desalination plant and its performance simulation analysis and optimization. Processes, 8(8), 944.
Zhang, X. & Reible, D. 2020. Exploring the function of ion-exchange membrane in membrane capacitive deionization via a fully coupled two-dimensional process model. Processes, 8(10), 1312.
Zhao, R. 2013. Theory and Operation of Capacitive Deionization Systems. Doctoral Dissertation. Wageningen University, Wageningen, The Netherlands.
Zhao, R., Porada, S., Biesheuvel, P. M. & Van Der Wal, A. 2013. Energy consumption in membrane capacitive deionization for different water recoveries and flow rates, and comparison with reverse osmosis. Desalination, 330, 35-41.