A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass
The assessment of freeze desalination (FD) efficiency is lagging behind due to the lack of an effective means of determining ice total dissolved solid (TDS). In this paper, an ice TDS prediction model was constructed by utilizing the law of conservation of matter (LCMat) and conservation of mass (LC...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-11-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X2401390X |
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| author | Xiaomei Dong Weixiong Huang Xin Rong Hairui Wang Yang Gao Zhaoyang Li Zhan Song Yuhui Yang Kun Liu |
| author_facet | Xiaomei Dong Weixiong Huang Xin Rong Hairui Wang Yang Gao Zhaoyang Li Zhan Song Yuhui Yang Kun Liu |
| author_sort | Xiaomei Dong |
| collection | DOAJ |
| description | The assessment of freeze desalination (FD) efficiency is lagging behind due to the lack of an effective means of determining ice total dissolved solid (TDS). In this paper, an ice TDS prediction model was constructed by utilizing the law of conservation of matter (LCMat) and conservation of mass (LCMas) in the icing process. It was concluded that the average TDS ice crystals in any icing process was correlated with the TDS of the raw (concentrated) water at the starting of freezing, the salt mass change rate of the concentrate water, and the volume of ice crystals. A one-way FD test was carried out using the saltwater from South Xinjiang, and the exponential equation model and linear equation model of LCMat-LCMas were derived, and the simulation accuracy of LCMat-LCMas was verified by using the test data. The results show that the model has high prediction accuracy. The exponential equation model is suitable for predicting the ice TDS for ice with thickness within 15 cm, and the linear equation is suitable for predicting the ice crystal TDS for ice thicker than 15 cm. Further validation of the model accuracy is needed for larger cooled areas and icing thicknesses, and multidirectional icing processes. |
| format | Article |
| id | doaj-art-7b142160e36548e88c80ebceb398c17e |
| institution | Kabale University |
| issn | 2214-157X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj-art-7b142160e36548e88c80ebceb398c17e2024-11-14T04:32:07ZengElsevierCase Studies in Thermal Engineering2214-157X2024-11-0163105359A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & massXiaomei Dong0Weixiong Huang1Xin Rong2Hairui Wang3Yang Gao4Zhaoyang Li5Zhan Song6Yuhui Yang7Kun Liu8College of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, ChinaCollege of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Hubei Key Laboratory of Yangtze Catchment Environmental Aquatic Science, School of Environmental Studies, China University of Geosciences, Wuhan, 430078, Hubei, ChinaCollege of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, ChinaCollege of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Key Laboratory of Modern Agricultural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, ChinaInstitute of Farmland Irrigation, Chinese Academy of Agricultural Sciences, Xinxiang, 453002, Henan Province, ChinaCollege of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Key Laboratory of Modern Agricultural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Key Laboratory of Northwest Oasis Water-saving Agriculture, Ministry of Agriculture and Rural Areas, Shihezi, 32061, ChinaCollege of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Key Laboratory of Modern Agricultural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, ChinaCollege of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Key Laboratory of Modern Agricultural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Corresponding author. College of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China.College of Hydraulic and Architectural Engineering, Tarim University, Alaer, 843300, Xinjiang Uygur Autonomous Region, China; Corresponding author.The assessment of freeze desalination (FD) efficiency is lagging behind due to the lack of an effective means of determining ice total dissolved solid (TDS). In this paper, an ice TDS prediction model was constructed by utilizing the law of conservation of matter (LCMat) and conservation of mass (LCMas) in the icing process. It was concluded that the average TDS ice crystals in any icing process was correlated with the TDS of the raw (concentrated) water at the starting of freezing, the salt mass change rate of the concentrate water, and the volume of ice crystals. A one-way FD test was carried out using the saltwater from South Xinjiang, and the exponential equation model and linear equation model of LCMat-LCMas were derived, and the simulation accuracy of LCMat-LCMas was verified by using the test data. The results show that the model has high prediction accuracy. The exponential equation model is suitable for predicting the ice TDS for ice with thickness within 15 cm, and the linear equation is suitable for predicting the ice crystal TDS for ice thicker than 15 cm. Further validation of the model accuracy is needed for larger cooled areas and icing thicknesses, and multidirectional icing processes.http://www.sciencedirect.com/science/article/pii/S2214157X2401390XFreeze desalinationTDS of iceModelThe law of conservation of matterThe law of conservation of mass |
| spellingShingle | Xiaomei Dong Weixiong Huang Xin Rong Hairui Wang Yang Gao Zhaoyang Li Zhan Song Yuhui Yang Kun Liu A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass Case Studies in Thermal Engineering Freeze desalination TDS of ice Model The law of conservation of matter The law of conservation of mass |
| title | A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass |
| title_full | A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass |
| title_fullStr | A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass |
| title_full_unstemmed | A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass |
| title_short | A model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter & mass |
| title_sort | model of freeze desalination for predicting salt concentration in ice using the laws of conservation of matter amp mass |
| topic | Freeze desalination TDS of ice Model The law of conservation of matter The law of conservation of mass |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X2401390X |
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