Recent Developments of Solar Stills and Humidification De-humidification Desalination Systems: A Review

This research work intends to enhance the stepped double-slope solar still performance through an experimental assessment of combining linen wicks and cobalt oxide nanoparticles to the stepped double-slope solar still to improve the water evaporation and water production. The results illustrated that the cotton wicks and cobalt oxide (Co3O4) nanofluid with 1wt% increased the hourly freshwater output (HP) and instantaneous thermal efficiency (ITE). On the other hand, this study compares four machine learning methods to create a prediction model of tubular solar still performance. The methods developed and compared are support vector regressor (SVR), decision tree regressor, neural network, and deep neural network based on experimental data. This problem is a multi-output prediction problem which is HP and ITE. The prediction performance for the SVR was the lowest, with 70 (ml/m2 h) mean absolute error (MAE) for HP and 4.5% for ITE. Decision tree regressor has a better prediction for HP with 33 (ml/m2 h) MAE and almost the same MAE for ITE. Neural network has a better prediction for HP with 28 (ml/m2 h) MAE and a bit worse prediction for ITE with 5.7%. The best model used the deep neural network with 1.94 (ml/m2 h) MAE for HP and 0.67% MAE for ITE.

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Deep neural network prediction of modified stepped double-slope solar still with a cotton wick and cobalt oxide nanofluid

Sharshir

Elhelow

Kabeel

et al. 2022

Environ Sci Pollut Res

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A new trapezoidal pyramid solar still design with multi thermal enhancers

Sharshir

Rozza

Joseph

et al. 2022

Applied Thermal Engineering

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Performance evaluation of a modified pyramid solar still employing wick, reflectors, glass cooling and TiO2 nanomaterial

et al. 2022

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Recent Developments of Solar Stills and Humidification De-humidification Desalination Systems: A Review

Cited by 14 publications

References 52 publications

Deep neural network prediction of modified stepped double-slope solar still with a cotton wick and cobalt oxide nanofluid

Deep neural network prediction of modified stepped double-slope solar still with a cotton wick and cobalt oxide nanofluid

A new trapezoidal pyramid solar still design with multi thermal enhancers

Performance evaluation of a modified pyramid solar still employing wick, reflectors, glass cooling and TiO2 nanomaterial

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