Low-cost and eco-friendly nebulizer spray coated CuInAlS 2 counter electrode for dye-sensitized solar cells

Dhas, C. Ravi; Christy, Ashton; Venkatesh, R.; Monica, S. Esther Santhoshi; Panda, Subhendu K.; Subramanian, B.; Ravichandran, K.; Sudhagar, P.; Raj, A. Moses Ezhil

doi:10.1016/j.physb.2018.01.042

Cited by 11 publications

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References 45 publications

(38 reference statements)

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“…As per the report available, 10 petroleum and natural gas can fulfil the requirements merely for 50 more years, and coal can last for another 115 years. One more primary concern in burning fossil fuels for generating power and other household or industrial purposes is environmental pollution 11,12 . The burning of fossil fuels emits a huge amount of greenhouse gases and hazardous pollutants 13 .…”

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confidence: 99%

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Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells

Tomar

Dhaka

Surolia

2022

Intl J of Energy Research

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Photovoltaic technology attracts researchers from industry and academia due to its potential in producing electricity directly from the sunlight. Among all the photovoltaic devices, the dye-sensitized solar cell has gained preference due to its low-cost fabrication and versatility in electrolytes, dye, substrate, and catalyst. The optical, electrical, and structural properties of the materials determine the power conversion efficiency of a solar cell. But, conducting experiments in the laboratory to identify the suitable materials for the fabrication of an efficient solar cell requires much time, cost, and human effort.

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Section: Introductionmentioning

confidence: 99%

“…One more primary concern in burning fossil fuels for generating power and other household or industrial purposes is environmental pollution. 11,12 The burning of fossil fuels emits a huge amount of greenhouse gases and hazardous pollutants. 13 Thus, there is a requirement to adopt renewable energy sources as a substitute for fossil fuels.…”

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confidence: 99%

Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells

Tomar

Dhaka

Surolia

2022

Intl J of Energy Research

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Investigations on copper zinc tin sulfide thin films grown through nebulizer assisted spray pyrolysis technique

et al. 2020

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Artificial neural network approaches for modeling absorption spectrum of nanowire solar cells

Hamedi

Kordrostami

Yadollahi

2019

Neural Comput & Applic

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Low-cost and eco-friendly nebulizer spray coated CuInAlS 2 counter electrode for dye-sensitized solar cells

Abstract: 2018). Low-cost and eco-friendly nebulizer spray coated CuInAlS 2 counter electrode for dye-sensitized solar cells. Physica B: Condensed Matter, 537, 23-32. http://dx.

Cited by 11 publications

References 45 publications

Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells

Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells

Investigations on copper zinc tin sulfide thin films grown through nebulizer assisted spray pyrolysis technique

Artificial neural network approaches for modeling absorption spectrum of nanowire solar cells

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