Reverse electrodialysis: A validated process model for design and optimization

被引:196
|
作者
Veerman, J. [1 ,2 ]
Saakes, M. [1 ]
Metz, S. J. [1 ]
Harmsen, G. J. [3 ]
机构
[1] Wetsus, Ctr Excellence Sustainable Water Technol, NL-8900 CC Leeuwarden, Netherlands
[2] NHL Hogesch, Dept Life Sci & Technol, NL-8934 CJ Leeuwarden, Netherlands
[3] Univ Groningen, NL-9747 AG Groningen, Netherlands
关键词
Reverse electrodialysis; Electrodialysis; Salinity gradient power; Renewable energy; Power production; SALINITY-GRADIENT POWER; ION-EXCHANGE MEMBRANES; ELECTRIC-POWER; RENEWABLE ENERGY; DIALYTIC BATTERY; RIVER WATER; GENERATION; DIFFERENCE; TRANSPORT; OUTPUT;
D O I
10.1016/j.cej.2010.10.071
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Reverse electrodialysis (RED) is a technology to generate electricity using the entropy of the mixing of sea and river water. A model is made of the RED process and validated experimentally. The model is used to design and optimize the RED process. It predicts very small differences between counter- and co-current operation. It was decided to focus on co-current design because co-current operation causes smaller local pressure differences between the river and seawater compartments-hence smaller risk of leakages and the possibility to use very thin membranes with high fluxes and very open spacer structures with low hydrodynamic resistance. Segmentation of the electrodes proved to increase the power density by about 15% under realistic operational conditions. The model shows that with smaller systems - in terms of length of the flow path - higher power densities are possible. This effect is rather dramatical and poses a challenge for designing improved RED stacks on large commercial scale. It is suggested to reduce the flow path length by applying a fractal structure design of the spacers. Such structures can be made by profiling the membrane. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:256 / 268
页数:13
相关论文
共 50 条
  • [1] Multi-ion transport in reverse electrodialysis: A validated model for design and optimization
    Cho, Hyewon
    Kim, Jongwoon
    Han, Chang-Soo
    [J]. DESALINATION, 2024, 586
  • [2] Generalized Disjunctive Programming Model for Optimization of Reverse Electrodialysis Process
    Tristan, C.
    Fallanza, M.
    Grossmann, I.
    Ortiz, I.
    Ibanez, R.
    [J]. IFAC PAPERSONLINE, 2022, 55 (31): : 154 - 159
  • [3] Optimization of the number of cell pairs to design efficient reverse electrodialysis stack
    Kim, Hanki
    Yang, SeungCheol
    Choi, Jiyeon
    Kim, Jong-Oh
    Jeong, Namjo
    [J]. DESALINATION, 2021, 497
  • [4] Numerical analysis of transport phenomena in reverse electrodialysis for system design and optimization
    Jeong, Hoe-In
    Kim, Hyun Jung
    Kim, Dong-Kwon
    [J]. ENERGY, 2014, 68 : 229 - 237
  • [5] Reducing power losses caused by ionic shortcut currents in reverse electrodialysis stacks by a validated model
    Veerman, J.
    Post, J. W.
    Saakes, M.
    Metz, S. J.
    Harmsen, G. J.
    [J]. JOURNAL OF MEMBRANE SCIENCE, 2008, 310 (1-2) : 418 - 430
  • [6] Bipolar membrane reverse electrodialysis for the sustainable recovery of energy from pH gradients of industrial wastewater: Performance prediction by a validated process model
    Culcasi, Andrea
    Gurreri, Luigi
    Micale, Giorgio
    Tamburini, Alessandro
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 287
  • [7] Performance optimization of integrated electrochemical capacitive deionization and reverse electrodialysis model through a series pass desorption process
    Saleem, Muhammad Wajid
    Jande, Y. A. C.
    Kim, Woo-Seung
    [J]. JOURNAL OF ELECTROANALYTICAL CHEMISTRY, 2017, 795 : 41 - 50
  • [8] Design and optimization of electrodialysis process parameters for brackish water treatment
    Ankoliya, Dipak
    Mudgal, Anurag
    Sinha, Manish Kumar
    Davies, Philip
    Licon, Edxon
    Alegre, Ruben Rodriguez
    Patel, Vivek
    Patel, Jatin
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 319
  • [9] Optimization of net power density in Reverse Electrodialysis
    Ciofalo, Michele
    La Cerva, Mariagiorgia
    Di Liberto, Massimiliano
    Gurreri, Luigi
    Cipollina, Andrea
    Micale, Giorgio
    [J]. ENERGY, 2019, 181 : 576 - 588
  • [10] A generalized disjunctive programming model for the optimal design of reverse electrodialysis process for salinity gradient-based power generation
    Tristan, C.
    Fallanza, M.
    Ibanez, R.
    Ortiz, I.
    Grossmann, I. E.
    [J]. COMPUTERS & CHEMICAL ENGINEERING, 2023, 174