Performance improvements of single slope solar still using graphite plate fins and magnets

Dhivagar, Ramasamy; Mohanraj, M.

doi:10.1007/s11356-020-11737-5

Cited by 52 publications

(11 citation statements)

References 47 publications

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“…The uncertainty of an estimated value derived from the uncertainty of observed parameters is known as a propagation of uncertainty. To calculate this function, the following equation was used (Cohen 1998;Dhivagar and Mohanraj 2021)…”

Section: Methodsmentioning

confidence: 99%

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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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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Section: Methodsmentioning

confidence: 99%

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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“…Ring-shaped hollow ferrite magnets of grade N42 (09 numbers) each of 6 cm outer diameter and 3.2 cm inner diameter with a magnetic field strength of 90 mT were purchased from Magna Tronix, Chennai, India. The magnets were arranged geometrically as suggested in the literature to provide a uniform distribution of magnetic field strength across the basin [69,76,77]. The detailed specifications of the ferrite magnet are given in Table 3.…”

Section: System Descriptionmentioning

confidence: 99%

Combined effects of composite thermal energy storage and magnetic field to enhance productivity in solar desalination

et al. 2022

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“…Sadeghi and Nazari 35 improved water output and energy efficiency by 218% and 117% over CSS by an active system with magnetic nanofluid (0.08%). Dhivagar and Mohanraj 36 used graphite plate fins and magnets to increase exergy and energy efficiencies by 1.81% and 21.46% above CSS. Dhivagar et al 37 found that using block and disc magnets in CSS increased productivity by 31.7% and 23.7%, respectively.…”

Section: Introductionmentioning

confidence: 99%

Performance enhancement of a solar still using magnetic powder as an energy storage medium‐exergy and environmental analysis

Dhivagar¹,

Shoeibi

Kargarsharifabad

et al. 2022

Energy Science & Engineering

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The use of different energy storage materials can have a high effect on the water productivity of solar desalination. This study evaluates the impact of magnetic powders on modified solar still (MPSS) performance and compares the results with conventional solar still (CSS). Black iron oxide magnetic powder was selected to increase solar radiation absorption. The black iron magnetic powder simultaneously acts as a thermal storage material and a porous absorber medium. The thermal energy stored in the magnetic powder improved the performance of the MPSS during peak solar irradiation hours, resulting in higher productivity. The results showed that the thermal performance of MPSS was higher than CSS. The MPSS exhibited a 39.8% higher evaporative and 14.5% higher convective heat transfer rate compared with CSS. Results showed that the cumulative water productivity of MPSS was 31.2% greater than CSS. Also, the energy and exergy efficiencies of MPSS were improved by 18.9% and 19.04%, respectively, compared with CSS. Moreover, the predicted payback period in MPSS and CSS were 3.2 and 4.3 months. Additionally, the CO 2 reduction of MPSS was improved by approximately 45.53% compared with that of CSS. The results also showed that the exergoeconomic parameter of MPSS and CSS with energy base was equal to 33.1 and 24.56 kWh/$, respectively.

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Performance improvements of single slope solar still using graphite plate fins and magnets

Cited by 52 publications

References 47 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

Combined effects of composite thermal energy storage and magnetic field to enhance productivity in solar desalination

Performance enhancement of a solar still using magnetic powder as an energy storage medium‐exergy and environmental analysis

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