The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Energy Efficiency of Capacitive Deionization
Open accessAbstract
Capacitive deionization (CDI) as a class of electrochemical desalination has attracted fast-growing research interest in recent years. A significant part of this growing interest is arguably attributable to the premise that CDI is energy efficient and has the potential to outcompete other conventional desalination technologies. In this review, systematic evaluation of literature data reveals that while the absolute energy consumption of CDI is in general low, most existing CDI systems achieve limited energy efficiency from a thermodynamic perspective. We also analyze the causes for the relatively low energy efficiency and discuss factors that may lead to enhanced energy efficiency for CDI.
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Cites
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Review on the science and technology of water desalination by capacitive deionization
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Water desalination via capacitive deionization: what is it and what can we expect from it?
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Faradaic reactions in capacitive deionization (CDI) - problems and possibilities: A review
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Cited by
Patel, S. K., Ritt, C. L., Deshmukh, A., Wang, Z., Qin, M., Epsztein, R., & Elimelech, M. (2020) · Energy & Environmental Science · doi:10.1039/d0ee00341g · Cited by 336
Zhang, C., Ma, J., Wu, L., Sun, J., Wang, L., Li, T., & Waite, T. D. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c06552 · Cited by 323
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Metadata
- Authors
- Wang, L., Dykstra, J. E., & Lin, S.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-02-25
- Volume
- 53
- Issue
- 7
- Pages
- 3366-3378
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2915403665
- Cited by
- 292
- References
- 95
- FWCI
- 11.28
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.