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Boosting Capacitive Blue-Energy and Desalination Devices with Waste Heat

pmid: 25615396
arXiv: http://arxiv.org/abs/1405.5830 , 1405.5830
We show that sustainably harvesting 'blue' energy from the spontaneous mixing process of fresh and salty water can be boosted by varying the water temperature during a capacitive mixing process. Our modified Poisson-Boltzmann calculations predict a strong temperature dependence of the electrostatic potential of a charged electrode in contact with an adjacent aqueous 1:1 electrolyte. We propose to exploit this dependence to boost the efficiency of capacitive blue engines, which are based on cyclically charging and discharging nanoporous supercapacitors immersed in salty and fresh water, respectively [D. Brogioli, Phys. Rev. Lett. 103, 058501 (2009)]. We show that the energy output of blue engines can be increased by a factor of order two if warm (waste-heated) fresh water is mixed with cold sea water. Moreover, the underlying physics can also be used to optimize the reverse process of capacitive desalination of water.
- Utrecht University Netherlands
Statistical Mechanics (cond-mat.stat-mech), General Physics and Astronomy, FOS: Physical sciences, Physics and Astronomy(all), Condensed Matter - Statistical Mechanics
Statistical Mechanics (cond-mat.stat-mech), General Physics and Astronomy, FOS: Physical sciences, Physics and Astronomy(all), Condensed Matter - Statistical Mechanics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).66 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
