Voltage-Based Stabilization of Microporous Carbon Electrodes for Inverted Capacitive Deionization

2018 ◽  
Vol 122 (2) ◽  
pp. 1158-1168 ◽  
Author(s):  
X. Gao ◽  
A. Omosebi ◽  
J. Landon ◽  
K. Liu
2012 ◽  
Vol 4 (3) ◽  
pp. 1194-1199 ◽  
Author(s):  
S. Porada ◽  
L. Weinstein ◽  
R. Dash ◽  
A. van der Wal ◽  
M. Bryjak ◽  
...  

2014 ◽  
Vol 18 (5) ◽  
pp. 1365-1376 ◽  
Author(s):  
P. M. Biesheuvel ◽  
S. Porada ◽  
M. Levi ◽  
M. Z. Bazant

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Eric N. Guyes ◽  
Amit N. Shocron ◽  
Yinke Chen ◽  
Charles E. Diesendruck ◽  
Matthew E. Suss

AbstractEmerging water purification applications often require tunable and ion-selective technologies. For example, when treating water for direct use in irrigation, often monovalent Na+ must be removed preferentially over divalent minerals, such as Ca2+, to reduce both ionic conductivity and sodium adsorption ratio (SAR). Conventional membrane-based water treatment technologies are either largely non-selective or not dynamically tunable. Capacitive deionization (CDI) is an emerging membraneless technology that employs inexpensive and widely available activated carbon electrodes as the active element. We here show that a CDI cell leveraging sulfonated cathodes can deliver long-lasting, tunable monovalent ion selectivity. For feedwaters containing Na+ and Ca2+, our cell achieves a Na+/Ca2+ separation factor of up to 1.6. To demonstrate the cell longevity, we show that monovalent selectivity is retained over 1000 charge–discharge cycles, the highest cycle life achieved for a membraneless CDI cell with porous carbon electrodes to our knowledge, while requiring an energy consumption of ~0.38 kWh/m3 of treated water. Furthermore, we show substantial and simultaneous reductions of ionic conductivity and SAR, such as from 1.75 to 0.69 mS/cm and 19.8 to 13.3, respectively, demonstrating the potential of such a system towards single-step water treatment of brackish and wastewaters for direct use in irrigation.


2018 ◽  
Vol 202 ◽  
pp. 67-75 ◽  
Author(s):  
Lutfi Agartan ◽  
Bilen Akuzum ◽  
Tyler Mathis ◽  
Kurtay Ergenekon ◽  
Ertan Agar ◽  
...  

2021 ◽  
Vol 312 ◽  
pp. 110757
Author(s):  
Minjun Kim ◽  
Hyunsoo Lim ◽  
Xingtao Xu ◽  
Md Shahriar A. Hossain ◽  
Jongbeom Na ◽  
...  

2015 ◽  
Vol 1 (4) ◽  
pp. 516-522 ◽  
Author(s):  
Danyang Liu ◽  
Kuan Huang ◽  
Leijie Xie ◽  
Hao L. Tang

This work presents a novel attempt at using a statistical modeling approach to predict the desalination performance of CDI.


Carbon ◽  
2019 ◽  
Vol 149 ◽  
pp. 627-636 ◽  
Author(s):  
Linlin Wu ◽  
Mingquan Liu ◽  
Silu Huo ◽  
Xiaogang Zang ◽  
Min Xu ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document