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Title: A molecular theory for optimal blue energy extraction by electrical double layer expansion

Abstract

We proposed the electrical double layer expansion (CDLE) as a promising alternative to reverse electrodialysis (RED) and pressure retarded osmosis (PRO) processes for extracting osmotic power generated by the salinity difference between freshwater and seawater. The performance of the CDLE process is sensitive to the configuration of porous electrodes and operation parameters for ion extraction and release cycles. In our work, we use a classical density functional theory (CDFT) to examine how the electrode pore size and charging/discharging potentials influence the thermodynamic efficiency of the CDLE cycle. The existence of an optimal charging potential that maximizes the energy output for a given pore configuration is predicted, which varies substantially with the pore size, especially when it is smaller than 2 nm. Finally, the thermodynamic efficiency is maximized when the electrode has a pore size about twice the ion diameter.

Authors:
 [1];  [2];  [3];  [3];  [2]
  1. Univ. of California, Riverside, CA (United States); Tsinghua Univ., Beijing (China)
  2. Univ. of California, Riverside, CA (United States)
  3. Tsinghua Univ., Beijing (China)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Energy Frontier Research Centers (EFRC) (United States). Fluid Interface Reactions, Structures and Transport Center (FIRST)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1265857
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Physical Chemistry Chemical Physics. PCCP (Print)
Additional Journal Information:
Journal Name: Physical Chemistry Chemical Physics. PCCP (Print); Journal Volume: 17; Journal Issue: 37; Journal ID: ISSN 1463-9076
Publisher:
Royal Society of Chemistry
Country of Publication:
United States
Language:
English
Subject:
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Kong, Xian, Gallegos, Alejandro, Lu, Diannan, Liu, Zheng, and Wu, Jianzhong. A molecular theory for optimal blue energy extraction by electrical double layer expansion. United States: N. p., 2015. Web. doi:10.1039/C5CP03514G.
Kong, Xian, Gallegos, Alejandro, Lu, Diannan, Liu, Zheng, & Wu, Jianzhong. A molecular theory for optimal blue energy extraction by electrical double layer expansion. United States. doi:10.1039/C5CP03514G.
Kong, Xian, Gallegos, Alejandro, Lu, Diannan, Liu, Zheng, and Wu, Jianzhong. Wed . "A molecular theory for optimal blue energy extraction by electrical double layer expansion". United States. doi:10.1039/C5CP03514G. https://www.osti.gov/servlets/purl/1265857.
@article{osti_1265857,
title = {A molecular theory for optimal blue energy extraction by electrical double layer expansion},
author = {Kong, Xian and Gallegos, Alejandro and Lu, Diannan and Liu, Zheng and Wu, Jianzhong},
abstractNote = {We proposed the electrical double layer expansion (CDLE) as a promising alternative to reverse electrodialysis (RED) and pressure retarded osmosis (PRO) processes for extracting osmotic power generated by the salinity difference between freshwater and seawater. The performance of the CDLE process is sensitive to the configuration of porous electrodes and operation parameters for ion extraction and release cycles. In our work, we use a classical density functional theory (CDFT) to examine how the electrode pore size and charging/discharging potentials influence the thermodynamic efficiency of the CDLE cycle. The existence of an optimal charging potential that maximizes the energy output for a given pore configuration is predicted, which varies substantially with the pore size, especially when it is smaller than 2 nm. Finally, the thermodynamic efficiency is maximized when the electrode has a pore size about twice the ion diameter.},
doi = {10.1039/C5CP03514G},
journal = {Physical Chemistry Chemical Physics. PCCP (Print)},
number = 37,
volume = 17,
place = {United States},
year = {2015},
month = {8}
}

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Cited by: 4 works
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