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Nernst-Planck analysis of reverse-electrodialysis with the thin-composite pore-filling membranes and its upscaling potential.
Kim, Hanki; Jeong, Namjo; Yang, SeungCheol; Choi, Jiyeon; Lee, Mi-Soon; Nam, Joo-Youn; Jwa, Eunjin; Kim, Byungki; Ryu, Kyung-Sang; Choi, Young-Woo.
Afiliação
  • Kim H; Marine Energy Convergence and Integration Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea. Electronic address: hankikim@kier.re.kr.
  • Jeong N; Marine Energy Convergence and Integration Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea.
  • Yang S; Marine Energy Convergence and Integration Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea.
  • Choi J; Marine Energy Convergence and Integration Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea.
  • Lee MS; Hydrogen and Fuel Cell Center for Industry, Academy, and Laboratories, Korea Institute of Energy Research, 20-41, Sinjaesaengeneoji-ro, Haseo-myeon, Buan-gun, Jeollabuk-do, 56332, Republic of Korea.
  • Nam JY; Marine Energy Convergence and Integration Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea.
  • Jwa E; Marine Energy Convergence and Integration Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea.
  • Kim B; System Convergence Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea.
  • Ryu KS; System Convergence Laboratory, Jeju Global Research Center (JGRC), Korea Institute of Energy Research (KIER), 200, Haemajihaean-ro, Gujwa-eup, 63357, Jeju, South Korea.
  • Choi YW; Hydrogen and Fuel Cell Center for Industry, Academy, and Laboratories, Korea Institute of Energy Research, 20-41, Sinjaesaengeneoji-ro, Haseo-myeon, Buan-gun, Jeollabuk-do, 56332, Republic of Korea.
Water Res ; 165: 114970, 2019 Nov 15.
Article em En | MEDLINE | ID: mdl-31426007
To properly design reverse electrodialysis (RED) stacks, modeling of ion transport and prediction of power generation on the single RED stack are very important. Currently, the Nernst-Planck equation is widely adopted to simulate ion transport through IEMs. However, applying typical Nernst-Planck equation is not proper to analyze ion transport through the heterogeneous thin-composite pore-filling membrane because of the non-conductive site in the membrane matrix. Herein, we firstly introduced modified Nernst-Planck equation by addressing conductive traveling length (CTL) to simulate the ion transport through the thin-composite pore-filling membranes and the performance of a single RED stack with the same membranes. Also, 100 cell-pairs of RED stacks were assembled to validate modified Nernst-Planck equation according to the flow rate and membrane types. Under the OCV condition, the conductivity of the effluents was measured to validate the modified Nernst-Planck equation, and differences between modeling and experiments were less than 1.5 mS/cm. Theoretical OCV and current density were estimated by using modified Nernst-Planck equation. In particular, hydrophobicity on the surface of the heterogeneous membrane was considered to describe ion transport through the pore-filling membranes. Moreover, power generation from RED stacks was calculated according to the flow rate and the number of cell pairs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Membranas Artificiais Tipo de estudo: Prognostic_studies Idioma: En Revista: Water Res Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Membranas Artificiais Tipo de estudo: Prognostic_studies Idioma: En Revista: Water Res Ano de publicação: 2019 Tipo de documento: Article