The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Doubled Power Density from Salinity Gradients at Reduced Intermembrane Distance
Open accessAbstract
The mixing of sea and river water can be used as a renewable energy source. The Gibbs free energy that is released when salt and fresh water mix can be captured in a process called reverse electrodialysis (RED). This research investigates the effect of the intermembrane distance and the feedwater flow rate in RED as a route to double the power density output. Intermembrane distances of 60, 100, 200, and 485 μm were experimentally investigated, using spacers to impose the intermembrane distance. The generated (gross) power densities (i.e., generated power per membrane area) are larger for smaller intermembrane distances. A maximum value of 2.2 W/m(2) is achieved, which is almost double the maximum power density reported in previous work. In addition, the energy efficiency is significantly higher for smaller intermembrane distances. New improvements need to focus on reducing the pressure drop required to pump the feedwater through the RED-device using a spacerless design. In that case power outputs of more than 4 W per m(2) of membrane area at small intermembrane distances are envisaged.
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Citations
Cites
An Introduction to Fluid Dynamics
Batchelor, G. K. (2000) · doi:10.1017/cbo9780511800955 · Cited by 12,360
Electrodialysis, a mature technology with a multitude of new applications
Strathmann, H. (2010) · Desalination · doi:10.1016/j.desal.2010.04.069 · Cited by 1,545
Mass transfer and pressure loss in spiral wound modules
Schock, G., & Miquel, A. (1987) · Desalination · doi:10.1016/0011-9164(87)90107-x · Cited by 674
Salinity-gradient power: Evaluation of pressure-retarded osmosis and reverse electrodialysis
Post, J. W., Veerman, J., Hamelers, H. V. M., Euverink, G. J. W., Metz, S. J., Nymeijer, K., & Buisman, C. J. N. (2007) · Journal of Membrane Science · doi:10.1016/j.memsci.2006.11.018 · Cited by 616
Energy Recovery from Controlled Mixing Salt and Fresh Water with a Reverse Electrodialysis System
Post, J. W., Hamelers, H. V. M., & Buisman, C. J. N. (2008) · Environmental Science & Technology · doi:10.1021/es8004317 · Cited by 542
Current status of ion exchange membranes for power generation from salinity gradients
DLUGOLECKI, P., NYMEIJER, K., METZ, S., & WESSLING, M. (2008) · Journal of Membrane Science · doi:10.1016/j.memsci.2008.03.037 · Cited by 537
International energy outlook 1999
Energy Information Administration, O. O. I. A. A. F. (1999) · doi:10.2172/345025 · Cited by 464
Electric Power from Differences in Salinity: The Dialytic Battery
Weinstein, J. N., & Leitz, F. B. (1976) · Science · doi:10.1126/science.191.4227.557 · Cited by 403
Practical Potential of Reverse Electrodialysis As Process for Sustainable Energy Generation
Długołȩcki, P., Gambier, A., Nijmeijer, K., & Wessling, M. (2009) · Environmental Science & Technology · doi:10.1021/es9009635 · Cited by 370
Self-citationVeerman, J., de Jong, R. M., Saakes, M., Metz, S. J., & Harmsen, G. J. (2009) · Journal of Membrane Science · doi:10.1016/j.memsci.2009.05.047 · Cited by 329
Self-citationVeerman, J., Saakes, M., Metz, S. J., & Harmsen, G. J. (2010) · Environmental Science & Technology · doi:10.1021/es1009345 · Cited by 276
Self-citationOptimization of commercial net spacers in spiral wound membrane modules
Li, F., Meindersma, W., de Haan, A. B., & Reith, T. (2002) · Journal of Membrane Science · doi:10.1016/s0376-7388(02)00307-1 · Cited by 272
Reverse electrodialysis: A validated process model for design and optimization
Veerman, J., Saakes, M., Metz, S. J., & Harmsen, G. J. (2011) · Chemical Engineering Journal · doi:10.1016/j.cej.2010.10.071 · Cited by 268
Self-citationVeerman, J., Post, J. W., Saakes, M., Metz, S. J., & Harmsen, G. J. (2008) · Journal of Membrane Science · doi:10.1016/j.memsci.2007.11.032 · Cited by 251
Self-citationEnergy by reverse electrodialysis
Lacey, R. E. (1980) · Ocean Engineering · doi:10.1016/0029-8018(80)90030-x · Cited by 249
Sales, B. B., Saakes, M., Post, J. W., Buisman, C. J. N., Biesheuvel, P. M., & Hamelers, H. V. M. (2010) · Environmental Science & Technology · doi:10.1021/es100852a · Cited by 244
Self-citationMorphology and Microtopology of Cation-Exchange Polymers and the Origin of the Overlimiting Current
Balster, J., Yildirim, M. H., Stamatialis, D. F., Ibanez, R., Lammertink, R. G. H., Jordan, V., & Wessling, M. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp068474t · Cited by 228
Towards implementation of reverse electrodialysis for power generation from salinity gradients
Post, J. W., Goeting, C. H., Valk, J., Goinga, S., Veerman, J., Hamelers, H. V. M., & Hack, P. (2010) · Desalination and Water Treatment · doi:10.5004/dwt.2010.1093 · Cited by 202
Polarization at ion exchange membrane-solution interfaces
Spiegler, K. S. (1971) · Desalination · doi:10.1016/0011-9164(71)80005-x · Cited by 163
Sistat, P., & Pourcelly, G. (1997) · Journal of Membrane Science · doi:10.1016/s0376-7388(96)00210-4 · Cited by 157
Cited by
Membrane-based processes for sustainable power generation using water
Logan, B. E., & Elimelech, M. (2012) · Nature · doi:10.1038/nature11477 · Cited by 1,644
Recent developments in forward osmosis: Opportunities and challenges
Zhao, S., Zou, L., Tang, C. Y., & Mulcahy, D. (2012) · Journal of Membrane Science · doi:10.1016/j.memsci.2011.12.023 · Cited by 1,355
Electrodialysis desalination for water and wastewater: A review
Al-Amshawee, S., Yunus, M. Y. B. M., Azoddein, A. A. M., Hassell, D. G., Dakhil, I. H., & Hasan, H. A. (2020) · Chemical Engineering Journal · doi:10.1016/j.cej.2019.122231 · Cited by 964
High-Performance Ionic Diode Membrane for Salinity Gradient Power Generation
Gao, J., Guo, W., Feng, D., Wang, H., Zhao, D., & Jiang, L. (2014) · Journal of the American Chemical Society · doi:10.1021/ja503692z · Cited by 615
Campione, A., Gurreri, L., Ciofalo, M., Micale, G., Tamburini, A., & Cipollina, A. (2018) · Desalination · doi:10.1016/j.desal.2017.12.044 · Cited by 588
Metadata
- Authors
- Vermaas, D. A., Saakes, M., & Nijmeijer, K.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-07-20
- Volume
- 45
- Issue
- 16
- Pages
- 7089-7095
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W1985545136
- Cited by
- 411
- References
- 20
- FWCI
- 10.21
- Type
- journal article
- Language
- en
- Open access
- green
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