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

Hailong Gao, Zhiyong Xiao, Jie Zhang, Xiaohan Zhang, Xiangdong Liu, Xinying Liu, Jin Cui and Jianbo Li ()
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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

Energies, 2023, vol. 16, issue 12, 1-16

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.

Keywords: performance coordination; salinity gradient energy; reverse electrodialysis; concentrated brine; power production (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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