LAPSE:2020.0174
Published Article
LAPSE:2020.0174
Cryogenic Energy for Indirect Freeze Desalination—Numerical and Experimental Investigation
Harith Jayakody, Raya Al-Dadah, Saad Mahmoud
February 3, 2020
Renewed interest in freeze desalination has emerged due to its advantages over other desalination technologies. A major advantage of the freeze desalination process over evaporative methods is its lower energy consumption (latent heat of freezing is 333.5 kJ/kg and latent heat of evaporation is 2256.7 kJ/kg). Cryogenic fluids like LN2/LAir are emerging as an effective energy storage medium to maximise utilisation of intermittent renewable energy sources. The recovery of this stored cold energy has the potential to be used for freeze desalination. Computational Fluid Dynamics (CFD) modelling was developed to simulate the evaporation of liquid nitrogen to simultaneously conduct freeze desalination to investigate the feasibility of using cryogenic energy for freeze desalination. This integrated CFD model was validated using experimental heat exchanger test facility constructed, to evaporate liquid nitrogen to supply the cooling required for freezing. Parametric study on the LN2 flow rate to observe the volume of ice obtained was also examined using CFD, where increasing the velocity of LN2 by 6 times, increased the volume of ice obtained by 4.3 times. A number of freezing stages were required in order to reduce the ice salinity from 1.5% down to 0.1% as regarded by the World Health Organisation (WHO) as safe to drink. In the cryogenic desalination test rig, approximately 1.35 L of liquid nitrogen was required to reduce the ice salinity from 1.5% to less than 0.1%. Furthermore, the above results illustrate the potential of using the cold energy of cryogenic fluids such as Liquified Natural Gas (LNG) and LN2/LAir for freeze desalination applications as most cold energy during LNG regasification has been unexploited today.
Keywords
Computational Fluid Dynamics, cryogenic energy, desalination, freeze, liquid nitrogen
Suggested Citation
Jayakody H, Al-Dadah R, Mahmoud S. Cryogenic Energy for Indirect Freeze Desalination—Numerical and Experimental Investigation. (2020). LAPSE:2020.0174
Author Affiliations
Jayakody H: School of Mechanical Engineering, University of Birmingham, Birmingham B152TT, UK
Al-Dadah R: School of Mechanical Engineering, University of Birmingham, Birmingham B152TT, UK
Mahmoud S: School of Mechanical Engineering, University of Birmingham, Birmingham B152TT, UK
Journal Name
Processes
Volume
8
Issue
1
Article Number
E19
Year
2019
Publication Date
2019-12-21
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8010019, Publication Type: Journal Article
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LAPSE:2020.0174
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doi:10.3390/pr8010019
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Feb 3, 2020
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Feb 3, 2020
 
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Calvin Tsay
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