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Prediction of distillate output in photocatalytic solar still using artificial intelligence (AI)
Reyouf ALQAHTANI, Feroz SHAIK, Nayeemuddin MOHAMMED, Mohammad Ali KHASAWNEH, Tasneem SULTANA
download PDFAbstract. Solar desalination is widely employed technology to separate potable water from saline water. In this study a solar still with one slope was employed to desalinate the saline water. The bottom plate of the solar still was coated with titanium dioxide to improve its performance. The distillate output was collected at three depths of water level in the still for different time intervals. Artificial Intelligence-Levenberg Marquardt (AI-LM) method was employed to predict the distillate output. The predicted values for the response were found to be in good agreement (R2 = 0.997) with the experimental data.
Keywords
Solar Still, Photocatalytic, Artificial Intelligence, Distillate, Desalination
Published online 7/15/2024, 8 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Reyouf ALQAHTANI, Feroz SHAIK, Nayeemuddin MOHAMMED, Mohammad Ali KHASAWNEH, Tasneem SULTANA, Prediction of distillate output in photocatalytic solar still using artificial intelligence (AI), Materials Research Proceedings, Vol. 43, pp 104-111, 2024
DOI: https://doi.org/10.21741/9781644903216-14
The article was published as article 14 of the book Renewable Energy: Generation and Application
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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