A comprehensive review of critical analysis of biodegradable waste PCM for thermal energy storage systems using machine learning and deep learning to predict dynamic behavior

Sharma, Aman; Singh, Pradeep Kumar; Makki, Emad; Giri, Jayant; Sathish, T.

doi:10.1016/j.heliyon.2024.e25800

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e25800

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A comprehensive review of critical analysis of biodegradable waste PCM for thermal energy storage systems using machine learning and deep learning to predict dynamic behavior

Aman Sharma,

Pradeep Kumar Singh,

Emad Makki

et al.

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2024

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Cited by 7 publications

References 169 publications

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COVID-19 impact on wind and solar energy sector and cost of energy prediction based on machine learning

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Razi Astaraei,

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Green Nanotechnology Based Sustainable Energy Solutions and Environmental Impacts

Devade,

Singh,

Kumar

et al. 2024

E3S Web Conf.

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This study focuses on the possible transformative effects that green nanotechnology has in the healthy energy applications and the repression of nature`s negative impacts. By means of environmentallyfriendly production of these nanomaterials, including silver nanoparticles (AgNPs) and quantum dots, the current research produced the marked increase in efficiency of solar cells, with a jump to 53% in efficiency compared to traditional solar cells. Moreover, the dopping of lithium-ion cells with silicon nanoparticles brought about a great enhancement, exhibiting a 50% specific capacity progress contrasted with the batteries that continued traditional anodes. Hence, these excellent findings demonstrate the effectiveness of nanotechnology in transforming energy that gathers and holds technology. The paper did an LCA that entailed a detailed analysis of the life cycle of green nanomaterials in order to measure the impact on the environment. The analysis presented by the LCA indicated the application of alternative materials that resulted in a significant reduction of GHG’s (32%), energy of 33%, and In TP of 37%) in comparison with conventional ones. This highlights the sustainability gains that will be obvious by the use of green nanotechnology as a technology of choice, in energy applications. The findings provide numerous beneficial principles for development of green technologies.

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Stability assessment of emerging phase change materials for solar thermal storage in absorption refrigeration: A review

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Salunke,

Diware

et al. 2024

International Journal of Green Energy

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A comprehensive review of critical analysis of biodegradable waste PCM for thermal energy storage systems using machine learning and deep learning to predict dynamic behavior

Cited by 7 publications

References 169 publications

COVID-19 impact on wind and solar energy sector and cost of energy prediction based on machine learning

COVID-19 impact on wind and solar energy sector and cost of energy prediction based on machine learning

Green Nanotechnology Based Sustainable Energy Solutions and Environmental Impacts

Stability assessment of emerging phase change materials for solar thermal storage in absorption refrigeration: A review

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