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pH-depended behaviors of electrolytes in nanofluidic salinity gradient energy harvesting

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  • Chen, Xi
  • Wang, Lu
  • Zhou, Ruhong
  • Long, Rui
  • Liu, Zhichun
  • Liu, Wei

Abstract

Transmembrane ion transportation in the nanofluidic salinity gradient energy conversion process is significantly regulated by the ion characteristics and concentration-depended physical and chemical properties of the electrolyte solution. In this paper, considering the Born and dielectrophoretic forces and nonhomogeneous electrolyte solution, impacts of various electrolytes on the nanofluidic energy conversion performance are systematically investigated under various solution pHs. When the solution pH is less than the isoelectric point (IEP), with BeCl2 solution employed, where the anion diffusion and concentration coefficient are much larger than those of the anion, significant transmembrane anion diffusion exists, leading to the highest osmotic current and maximum power output, even when the solution pH > IEP where the nanochannel is negatively charged, the ion selectivity is still not altered. At pH < IEP, 2:1 electrolytes, where the cation has small ion diffusion coefficient and the anion has larger diffusion coefficient and hydrated radius could result in upgraded energy conversion performance; At pH > IEP, 1:1 electrolytes where the cation has large ion diffusion coefficient and the anion has small diffusion coefficient and large hydrated radius are more appealing. In addition, the relationships between ion characteristics, power extracted, and energy conversion efficiency are further obtained via machine learning.

Suggested Citation

  • Chen, Xi & Wang, Lu & Zhou, Ruhong & Long, Rui & Liu, Zhichun & Liu, Wei, 2023. "pH-depended behaviors of electrolytes in nanofluidic salinity gradient energy harvesting," Renewable Energy, Elsevier, vol. 211(C), pages 31-41.
  • Handle: RePEc:eee:renene:v:211:y:2023:i:c:p:31-41
    DOI: 10.1016/j.renene.2023.04.056
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    References listed on IDEAS

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    1. Jiandong Feng & Michael Graf & Ke Liu & Dmitry Ovchinnikov & Dumitru Dumcenco & Mohammad Heiranian & Vishal Nandigana & Narayana R. Aluru & Andras Kis & Aleksandra Radenovic, 2016. "Single-layer MoS2 nanopores as nanopower generators," Nature, Nature, vol. 536(7615), pages 197-200, August.
    2. Chen, Xi & Luo, Zuoqing & Long, Rui & Liu, Zhichun & Liu, Wei, 2022. "Impacts of transmembrane pH gradient on nanofluidic salinity gradient energy conversion," Renewable Energy, Elsevier, vol. 187(C), pages 440-449.
    3. Kang, Byeong Dong & Kim, Hyun Jung & Lee, Moon Gu & Kim, Dong-Kwon, 2015. "Numerical study on energy harvesting from concentration gradient by reverse electrodialysis in anodic alumina nanopores," Energy, Elsevier, vol. 86(C), pages 525-538.
    4. Alessandro Siria & Philippe Poncharal & Anne-Laure Biance & Rémy Fulcrand & Xavier Blase & Stephen T. Purcell & Lydéric Bocquet, 2013. "Giant osmotic energy conversion measured in a single transmembrane boron nitride nanotube," Nature, Nature, vol. 494(7438), pages 455-458, February.
    5. Zhen Zhang & Sheng Yang & Panpan Zhang & Jian Zhang & Guangbo Chen & Xinliang Feng, 2019. "Mechanically strong MXene/Kevlar nanofiber composite membranes as high-performance nanofluidic osmotic power generators," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    6. Zhang, X.F. & Zhang, X. & Qu, Z.G. & Pu, J.Q. & Wang, Q., 2022. "Thermal-enhanced nanofluidic osmotic energy conversion with the interfacial photothermal method," Applied Energy, Elsevier, vol. 326(C).
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