Review on green resources and AI for biogenic solar power

Jyoti Bhattacharjee; Subhasis Roy

doi:10.59400/esc.v2i1.457

Review on green resources and AI for biogenic solar power

Jyoti Bhattacharjee Department of Chemical Engineering, University of Calcutta
Subhasis Roy Department of Chemical Engineering, University of Calcutta

Ariticle ID: 457

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DOI: https://doi.org/10.59400/esc.v2i1.457

Keywords: bio-solar cell, energy efficiency, green nanomaterials, machine learning, photovoltaics, sustainability

Abstract

The need for clean and renewable energy has grown dramatically during the past few years. As potential candidates for producing green energy in this region, photovoltaic and bio-solar energy technologies have arisen. This review presents a novel approach for designing and developing photovoltaics and bio-solar cells using eco-friendly materials and artificial intelligence (AI) techniques. An intriguing architecture is outlined for a bio-solar cell that fuses photovoltaic electronics with photosynthetic organisms. A recyclable thin-film solar cell serves as the basis of our photovoltaic system. To further maximize the effectiveness of the device, we use AI algorithms. According to statistical calculations, the proposed bio-solar cell can produce a sizable amount of electricity while being ecologically sound. This paper outlines significant advances in developing solar cells and photovoltaics using green nanomaterials and AI, which provide exciting potential for improving energy harvesting capacity. This review also presents an overview of the effects of the potential commercialization of our strategy, its social and environmental benefits, and its pitfalls.

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Published

2024-02-05

How to Cite

Bhattacharjee, J., & Roy, S. (2024). Review on green resources and AI for biogenic solar power. Energy Storage and Conversion, 2(1). https://doi.org/10.59400/esc.v2i1.457

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