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Optimization Study on Salinity Gradient Energy Capture from Brine and Dilute Brine

Author

Listed:
  • Hailong Gao

    (School of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Zhiyong Xiao

    (Technical Test Center, Shengli Oilfield Branch Company, Dongying 257029, China)

  • Jie Zhang

    (Technical Test Center, Shengli Oilfield Branch Company, Dongying 257029, China)

  • Xiaohan Zhang

    (Technical Test Center, Shengli Oilfield Branch Company, Dongying 257029, China)

  • Xiangdong Liu

    (Technical Test Center, Shengli Oilfield Branch Company, Dongying 257029, China)

  • Xinying Liu

    (Technical Test Center, Shengli Oilfield Branch Company, Dongying 257029, China)

  • Jin Cui

    (Technical Test Center, Shengli Oilfield Branch Company, Dongying 257029, China)

  • Jianbo Li

    (School of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China
    Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of Technology, Dalian 116024, China)

Abstract

The power conversion of salinity gradient energy (SGE) between concentrated brine from seawater desalination and seawater by reverse electrodialysis (RED) benefits energy conservation and also dilutes the discharge concentration to relieve the damage to coastal ecosystems. However, two key performance indexes of the maximum net power density and energy conversion efficiency for a RED stack harvesting the energy usually cannot reach the optimal simultaneously. Here, an optimization study on the two indexes was implemented to improve the performance of RED in harvesting the energy. A RED model for capturing the SGE between concentrated brine and seawater was constructed, and the correlation coefficients in the model were experimentally determined. Based on the model, the effects of a single variable (concentration, flow rate, temperature, thickness of the compartment, length of the electrode) on the performance of a RED stack are analyzed. The multi-objective optimization method based on the genetic algorithm was further introduced to obtain the optimal solution set, which could achieve the larger net power density and energy conversion efficiency with coordination. The ranges of optimal feed parameters and stack size were also obtained. The optimal flow velocity of the dilute solution and the concentration of the dilute solution are approximately 7.3 mm/s and 0.4 mol/kg, respectively.

Suggested Citation

  • Hailong Gao & Zhiyong Xiao & Jie Zhang & Xiaohan Zhang & Xiangdong Liu & Xinying Liu & Jin Cui & Jianbo Li, 2023. "Optimization Study on Salinity Gradient Energy Capture from Brine and Dilute Brine," Energies, MDPI, vol. 16(12), pages 1-16, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4643-:d:1168578
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    References listed on IDEAS

    as
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