New & Renewable Energy (신재생에너지)

Korean Society for New and Renewable Energy (한국신·재생에너지학회)
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Evaluation of Reverse Electrodialysis based on the Number of Cell Pairs and Stack Size Using Patterned Ion Exchange Membrane

패턴형 이온교환막을 이용한 스택의 셀 수 및 크기에 따른 역전기투석 성능 평가

  • Dong-Gun Lee (Department of Chemical and Biological Engineering, Jeju National University) ;
  • Hanki Kim (Korea Institute of Energy Research, Jeju Global Research Center) ;
  • Namjo Jeong (Korea Institute of Energy Research, Jeju Global Research Center) ;
  • Young Sun Mok (Department of Chemical and Biological Engineering, Jeju National University) ;
  • Jiyeon Choi (Korea Institute of Energy Research, Jeju Global Research Center)
  • Received : 2023.04.06
  • Accepted : 2023.05.08
  • Published : 2023.06.25
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Abstract

Salinity gradient energy can be generated from a mixture of water streams with different salt concentrations by using reverse electrodialysis (RED). In this study, we evaluated the effect of stack size and number of cell pairs on the energy efficiency and specific energy of the RED process. Additionally, we studied the prementioned parameters to maximize the power density of RED. The performance of the RED stack which used a patterned ion exchange membrane, was evaluated as a function of stack size and feed flow rate. Moreover, it was noted that an increase in stack size increased the ion movement through the ion exchange membrane. Furthermore, an increase in feed flow rate led to a reduction in the concentration variation, resulting in an increase in OCV and power density. The energy efficiency and specific energy for 100 cells in the 10 × 10 cm2 stack were the highest at 12% and 0.05 kWh/m3, respectively, while the power density from 0.33 cm/s to 5 × 5 cm2 stack was the highest at 0.53 W/m2. The study showed that the RED performance can be improved by altering the size of the stack and the number of cell pairs, thereby positively affecting energy efficiency and specific energy.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부 연구개발특구진흥재단의 '지역의 미래를 여는 과학기술 프로젝트'의 일환으로 수행되었습니다(과제번호 : 2022-DD-UP-0308-01-101).

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