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Graphitic Carbon Nitride-Based Dye-Sensitized Solar Cells and Perovskite Solar Cells for Energy Harvesting

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Energy Harvesting Trends for Low Power Compact Electronic Devices

Abstract

A material capability to serve a particular application or purpose is best determined by their properties like electrical, chemical, physical, mechanical, thermal stability, etc. For that, graphitic carbon nitride (g-C3N4) is well suited due to being metal-free, and exhibiting most of the aforementioned characteristics makes it one of the most fascinating materials for photoenergy harvesting. The variations in these properties are governed by the structural and morphological characteristics of the material. It can synthesize by using various synthesis methods and obtained results in different structures and shape which have profound the effects on the efficiency of dye-sensitized solar cells (DSSCs) and perovskite solar cells (PSCs). So, it is beneficial to study the different methods that are used to synthesize various forms of g-C3N4. In this chapter, along with the various synthesis techniques, different roles and properties of g-C3N4 in DSSCs and PSCs applications were reviewed. Significantly, the cell efficiency of g-C3N4-integrated TiO2 photoanodes highly achieved the maximum cell efficiency of 8.07% with Co9S8 nanoarrays as counter electrodes. In PSC device, CH3NH3PbI3:g-C3N4 (DMF) cell structure yielded maximum and remarkable cell efficiency of 19.49% with short-circuit current of 24.31 mA/cm2.

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Acknowledgments

Authors acknowledge the support of DST-SERB India under Core Research Grant (CRG/2019/005985).

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Correspondence to Selvakumar Duraisamy .

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Marepally, B.C., Venumbaka, M.R., Duraisamy, S., Sigamani, S., Hima Bindu, D., Dhasarathan, V. (2023). Graphitic Carbon Nitride-Based Dye-Sensitized Solar Cells and Perovskite Solar Cells for Energy Harvesting. In: Nella, A., Bhowmick, A., Kumar, C., Rajagopal, M. (eds) Energy Harvesting Trends for Low Power Compact Electronic Devices. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-35965-1_3

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  • DOI: https://doi.org/10.1007/978-3-031-35965-1_3

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