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Cho, Kyung Hwa
Environmental Monitoring and Modeling Lab (EM2)
Research Interests
  • Water Quality Monitoring and Modeling, Water Treatment Process Modeling

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Energy projection of the seawater battery desalination system using the reverse osmosis system analysis model

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Title
Energy projection of the seawater battery desalination system using the reverse osmosis system analysis model
Author
Ligaray, MayzoneeKim, NamHyeokPark, SanghunPark, Jeong-SunPark, JongkwanKim, YoungsikCho, Kyung Hwa
Issue Date
2020-09
Publisher
ELSEVIER SCIENCE SA
Citation
CHEMICAL ENGINEERING JOURNAL, v.395, pp.125082
Abstract
Water-stressed countries have been shifting their sources of clean water from inland freshwater to seawater. This led to a comprehensive exploration of seawater desalination processes to address water scarcity; however, membrane processes have expensive operational costs and high energy consumption. In this regard, this study presented a novel energy self-sufficient desalination system design that incorporates rechargeable seawater batteries as an additional energy storage system. Experimental data were projected using the reverse osmosis system analysis model to determine the configuration that achieved the lowest energy consumption and highest charging rate. The results show that the seawater battery achieved a satisfactory desalination performance with>90% and 74%-82% removal of sodium and chloride ions from actual water samples, respectively. Among the configurations, using ultrafiltration as pretreatment and applying 1.8 mA as initial current yielded the lowest energy consumption (1.35 kWh/m(3)) and the highest energy charging rate (1.01). Compared to the conventional reverse osmosis desalination plants (2.83 kWh/m(3)), the seawater battery-desalination system has a huge potential in addressing the major disadvantages of current desalination technologies.
URI
https://scholarworks.unist.ac.kr/handle/201301/32185
URL
https://www.sciencedirect.com/science/article/pii/S1385894720310743
DOI
10.1016/j.cej.2020.125082
ISSN
1385-8947
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UEE_Journal Papers
ECHE_Journal Papers
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