TY - JOUR
T1 - Performance metrics for the objective assessment of capacitive deionization systems
AU - Hawks, Steven A.
AU - Ramachandran, Ashwin
AU - Porada, Slawomir
AU - Campbell, Patrick G.
AU - Suss, Matthew E.
AU - Biesheuvel, P. M.
AU - Santiago, Juan G.
AU - Stadermann, Michael
N1 - Funding Information:
Work at LLNL was performed under the auspices of the US DOE by LLNL under Contract DE-AC52-07NA27344 . S.P. acknowledges financial support by the Dutch Technology Foundation STW , which is part of the Netherlands Organisation for Scientific Research (NWO), and which is partly funded by the Ministry of Economic Affairs (VENI grant no. 15071 ). All other work was supported by LLNL LDRD 18-ERD-024 .
Funding Information:
Work at LLNL was performed under the auspices of the US DOE by LLNL under Contract DE-AC52-07NA27344. S.P. acknowledges financial support by the Dutch Technology Foundation STW, which is part of the Netherlands Organisation for Scientific Research (NWO), and which is partly funded by the Ministry of Economic Affairs (VENI grant no. 15071). All other work was supported by LLNL LDRD 18-ERD-024.
Publisher Copyright:
© 2018 The Author(s)
PY - 2019/4/1
Y1 - 2019/4/1
N2 - In the growing field of capacitive deionization (CDI), a number of performance metrics have emerged to describe the desalination process. Unfortunately, the separation conditions under which these metrics are measured are often not specified, resulting in optimal performance at minimal removal. Here we outline a system of performance metrics and reporting conditions that resolves this issue. Our proposed system is based on volumetric energy consumption (Wh/m3) and throughput productivity (L/h/m2) reported for a specific average concentration reduction, water recovery, and feed salinity. To facilitate and rationalize comparisons between devices, materials, and operation modes, we propose a nominal standard separation of removing 5 mM from a 20 mM NaCl feed solution at 50% water recovery. We propose this particular separation as a standard, but emphasize that the rationale presented here applies irrespective of separation details. Using our proposed separation, we compare the desalination performance of a flow-through electrode (fte-CDI) cell and a flow between membrane (fb-MCDI) device, showing how significantly different systems can be compared in terms of generally desirable desalination characteristics. In general, we find that performance analysis must be considered carefully so to not allow for ambiguous separation conditions or the maximization of one metric at the expense of another. Additionally, for context and clarity, we discuss a number of important underlying performance indicators and cell characteristics that are not performance measures in and of themselves but can be examined to better understand differences in performance.
AB - In the growing field of capacitive deionization (CDI), a number of performance metrics have emerged to describe the desalination process. Unfortunately, the separation conditions under which these metrics are measured are often not specified, resulting in optimal performance at minimal removal. Here we outline a system of performance metrics and reporting conditions that resolves this issue. Our proposed system is based on volumetric energy consumption (Wh/m3) and throughput productivity (L/h/m2) reported for a specific average concentration reduction, water recovery, and feed salinity. To facilitate and rationalize comparisons between devices, materials, and operation modes, we propose a nominal standard separation of removing 5 mM from a 20 mM NaCl feed solution at 50% water recovery. We propose this particular separation as a standard, but emphasize that the rationale presented here applies irrespective of separation details. Using our proposed separation, we compare the desalination performance of a flow-through electrode (fte-CDI) cell and a flow between membrane (fb-MCDI) device, showing how significantly different systems can be compared in terms of generally desirable desalination characteristics. In general, we find that performance analysis must be considered carefully so to not allow for ambiguous separation conditions or the maximization of one metric at the expense of another. Additionally, for context and clarity, we discuss a number of important underlying performance indicators and cell characteristics that are not performance measures in and of themselves but can be examined to better understand differences in performance.
KW - Capacitive deionization
KW - Capacitive desalination
KW - CDI
KW - Performance
UR - https://www.scopus.com/pages/publications/85060166241
U2 - 10.1016/j.watres.2018.10.074
DO - 10.1016/j.watres.2018.10.074
M3 - Review article
C2 - 30665159
AN - SCOPUS:85060166241
SN - 0043-1354
VL - 152
SP - 126
EP - 137
JO - Water research
JF - Water research
ER -