Nanofluidic reverse electrodialysis with strengthened electric double layer using industrial low-grade waste heat

Abstract Nanofluidic reverse electrodialysis is an effective technique to harvest clean salinity-gradient energy. However, the osmotic power density of nanofluidic reverse electrodialysis is still limited. This work designs an industrial low-grade waste heat–enhanced nanofluidic reverse electrodialysis using theoretical and experimental analyses. The osmotic output power and energy conversion efficiency of nanofluidic reverse electrodialysis are theoretically observed to be enhanced with the pH value and the temperature of ionic aqueous solution. When the industrial low-grade waste heat at a temperature of 50 °C is utilized to increase the ionic aqueous solution temperature in nanofluidic reverse electrodialysis, its experimental osmotic power density is increased from 3.651 W m −2 to 7.130 W m −2 by 95.29%. In addition, when the pH value of the ionic aqueous solution is transferred from acidic condition at 3 to alkaline condition at 11, the experimental osmotic power density of nanofluidic reverse electrodialysis is enhanced from 6.431 W m −2 to 7.666 W m −2 by 19.20%. In addition, a trend-based parametric analysis of nanofluidic reverse electrodialysis is constructed, and its derivative of the experimental relative osmotic power density with respect to the pH value and salinity-gradient ratio of the ionic aqueous solution can be increased via the utilization of industrial low-grade waste heat, further demonstrating the effectiveness of thermally ameliorating the performance of nanofluidic reverse electrodialysis.

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Publication Details

Journal
Journal of Physics D Applied Physics
Published
2025-08-19
DOI
https://doi.org/10.1088/1361-6463/adfce3
Primary Topic
Membrane-based Ion Separation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Nanofluidic reverse electrodialysis with strengthened electric double layer using industrial low-grade waste heat

Qinlong Ren, Yu Qian, Yi Dong, Qin Zeng et al.
Journal of Physics D Applied Physics
Membrane-based Ion Separation Techniques
article

Nanofluidic reverse electrodialysis with strengthened electric double layer using industrial low-grade waste heat

Qinlong Ren, Yu Qian, Yi Dong, Qin Zeng, Ruoyu Li
article en

Abstract

Abstract Nanofluidic reverse electrodialysis is an effective technique to harvest clean salinity-gradient energy. However, the osmotic power density of nanofluidic reverse electrodialysis is still limited. This work designs an industrial low-grade waste heat–enhanced nanofluidic reverse electrodialysis using theoretical and experimental analyses. The osmotic output power and energy conversion efficiency of nanofluidic reverse electrodialysis are theoretically observed to be enhanced with the pH value and the temperature of ionic aqueous solution. When the industrial low-grade waste heat at a temperature of 50 °C is utilized to increase the ionic aqueous solution temperature in nanofluidic reverse electrodialysis, its experimental osmotic power density is increased from 3.651 W m −2 to 7.130 W m −2 by 95.29%. In addition, when the pH value of the ionic aqueous solution is transferred from acidic condition at 3 to alkaline condition at 11, the experimental osmotic power density of nanofluidic reverse electrodialysis is enhanced from 6.431 W m −2 to 7.666 W m −2 by 19.20%. In addition, a trend-based parametric analysis of nanofluidic reverse electrodialysis is constructed, and its derivative of the experimental relative osmotic power density with respect to the pH value and salinity-gradient ratio of the ionic aqueous solution can be increased via the utilization of industrial low-grade waste heat, further demonstrating the effectiveness of thermally ameliorating the performance of nanofluidic reverse electrodialysis.

Journal of Physics D Applied PhysicsVol. 58(35)
Xi'an University of Science and Technology (CN), Xi’an University (CN), Shaanxi University of Science and Technology (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 80%
Membrane-based Ion Separation Techniques
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