Multistage-batch bipolar membrane electrodialysis for base production from high-salinity wastewater

Arif Hussain, Haiyang Yan, Noor Ul Afsar, Chenxiao Jiang, Yaoming Wang, Tongwen Xu

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PDF(3792 KB)
Front. Chem. Sci. Eng. ›› 2022, Vol. 16 ›› Issue (5) : 764-773. DOI: 10.1007/s11705-021-2114-2
RESEARCH ARTICLE
RESEARCH ARTICLE

Multistage-batch bipolar membrane electrodialysis for base production from high-salinity wastewater

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Abstract

Bipolar membrane electrodialysis (BMED) is considered a state-of-the-art technology for the conversion of salts into acids and bases. However, the low concentration of base generated from a traditional BMED process may limit the viability of this technology for a large-scale application. Herein, we report an especially designed multistage-batch (two/three-stage-batch) BMED process to increase the base concentration by adjusting different volume ratios in the acid (Vacid), base (Vbase), and salt compartments (Vsalt). The findings indicated that performance of the two-stage-batch with a volume ratio of Vacid:Vbase:Vsalt = 1:1:5 was superior in comparison to the three-stage-batch with a volume ratio of Vacid:Vbase:Vsalt = 1:1:2. Besides, the base concentration could be further increased by exchanging the acid produced in the acid compartment with fresh water in the second stage-batch process. With the two-stage-batch BMED, the maximum concentration of the base can be obtained up to 3.40 mol∙L–1, which was higher than the most reported base production by BMED. The low energy consumption and high current efficiency further authenticate that the designed process is reliable, cost-effective, and more productive to convert saline water into valuable industrial commodities.

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bipolar membrane electrodialysis / multistage-batch / base production / high-salinity wastewater

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Arif Hussain, Haiyang Yan, Noor Ul Afsar, Chenxiao Jiang, Yaoming Wang, Tongwen Xu. Multistage-batch bipolar membrane electrodialysis for base production from high-salinity wastewater. Front. Chem. Sci. Eng., 2022, 16(5): 764‒773 https://doi.org/10.1007/s11705-021-2114-2

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Acknowledgments

This project was supported by the National Natural Science Foundation of China (Grant Nos. 22061132003 and 22008226), the Key Technologies R & D Program of Anhui Province (Grant No. 202003a05020052), and the Major Science and Technology Innovation Projects in Shandong Province (Grant No. 2019JZZY010511).

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