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, Kolkata 700009, India
Subhasis Roy Department of Chemical Engineering, University of Calcutta, Kolkata 700009, India

Article ID: 457

1939 Views

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 over 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.

References

[1]Dubey S, Jadhav NY, Zakirova B. Socio-Economic and Environmental Impacts of Silicon Based Photovoltaic (PV) Technologies. Energy Procedia. 2013, 33: 322-334. doi: 10.1016/j.egypro.2013.05.073

[2]Fraas LM. History of Solar Cell Development. In Low-Cost Solar Electric Power. Springer International Publishing; 2013. pp. 1–12.

[3]Goetzberger A, Luther J, Willeke G. Solar cells: past, present, future. Solar Energy Materials and Solar Cells. 2002, 74(1-4): 1-11. doi: 10.1016/S0927-0248(02)00042-9

[4]Lyu S, Bertrand C, Hamamura T, et al. Molecular engineering of ruthenium-diacetylide organometallic complexes towards efficient green dye for DSSC. Dyes and Pigments. 2018, 158: 326-333. doi: 10.1016/j.dyepig.2018.05.060

[5]Bera S, Sengupta D, Roy S, et al. Research into dye-sensitized solar cells: a review highlighting progress in India. Journal of Physics: Energy. 2021, 3(3): 032013. doi: 10.1088/2515-7655/abff6c

[6]De A, Bhattacharjee J, Chowdhury SR, et al. A Comprehensive Review on Third-Generation Photovoltaic Technologies. Journal of Chemical Engineering Research Updates. 2023, 10: 1-17. doi: 10.15377/2409-983x.2023.10.1

[7]Palacios A, Barreneche C, Navarro ME, et al. Thermal energy storage technologies for concentrated solar power – A review from a materials perspective. Renewable Energy. 2020, 156: 1244-1265. doi: 10.1016/j.renene.2019.10.127

[8]Kim SG, Jung JY, Sim M. A Two-Step Approach to Solar Power Generation Prediction Based on Weather Data Using Machine Learning. Sustainability. 2019, 11(5): 1501. doi: 10.3390/su11051501

[9]Samuel MS, Ravikumar M, John J. A, et al. A Review on Green Synthesis of Nanoparticles and Their Diverse Biomedical and Environmental Applications. Catalysts. 2022, 12(5): 459. doi: 10.3390/catal12050459

[10]Parthiban R, Ponnambalam P. An Enhancement of the Solar Panel Efficiency: A Comprehensive Review. Frontiers in Energy Research. 2022, 10. doi: 10.3389/fenrg.2022.937155

[11]Freire-Gormaly M, Bilton AM. Design of photovoltaic powered reverse osmosis desalination systems considering membrane fouling caused by intermittent operation. Renewable Energy. 2019, 135: 108-121. doi: 10.1016/j.renene.2018.11.065

[12]Paletta Q, Terrén-Serrano G, Nie Y, et al. Advances in solar forecasting: Computer vision with deep learning. Advances in Applied Energy. 2023, 11: 100150. doi: 10.1016/j.adapen.2023.100150

[13]Sharma N, Puri V, Mahajan S, et al. Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks. Scientific Reports. 2023, 13(1). doi: 10.1038/s41598-023-35457-1

[14]Nijsse FJMM, Mercure JF, Ameli N, et al. The momentum of the solar energy transition. Nature Communications. 2023, 14(1). doi: 10.1038/s41467-023-41971-7

[15]Ye L, Zhang S, Ma W, et al. From Binary to Ternary Solvent: Morphology Fine‐tuning of D/A Blends in PDPP3T‐based Polymer Solar Cells. Advanced Materials. 2012, 24(47): 6335-6341. doi: 10.1002/adma.201202855

[16]Roy S, Botte GG. Perovskite solar cell for photocatalytic water splitting with a TiO2/Co-doped hematite electron transport bilayer. RSC Advances. 2018, 8(10): 5388-5394. doi: 10.1039/c7ra11996h

[17]Zhao W, Dall’Agnese C, Duan S, et al. Trilayer Chlorophyll-Based Cascade Biosolar Cells. ACS Energy Letters. 2019, 4(2): 384-389. doi: 10.1021/acsenergylett.8b02279

[18]Grott S, Kotobi A, Reb LK, et al. Solvent Tuning of the Active Layer Morphology of Non‐Fullerene Based Organic Solar Cells. Solar RRL. 2022, 6(6). doi: 10.1002/solr.202101084

[19]Attoye D, Adekunle T, Tabet Aoul K, et al. A Conceptual Framework for a Building Integrated Photovoltaics (BIPV) Educative-Communication Approach. Sustainability. 2018, 10(10): 3781. doi: 10.3390/su10103781

[20]Li S, Liu L, Peng C. A Review of Performance-Oriented Architectural Design and Optimization in the Context of Sustainability: Dividends and Challenges. Sustainability. 2020, 12(4): 1427. doi: 10.3390/su12041427

[21]Freire-Gormaly M, Bilton AM. Impact of intermittent operation on reverse osmosis membrane fouling for brackish groundwater desalination systems. Journal of Membrane Science. 2019, 583: 220-230. doi: 10.1016/j.memsci.2019.04.010

[22]Zhang W, Saliba M, Stranks SD, et al. Enhancement of Perovskite-Based Solar Cells Employing Core–Shell Metal Nanoparticles. Nano Letters. 2013, 13(9): 4505-4510. doi: 10.1021/nl4024287

[23]Srivastava SK, Piwek P, Ayakar SR, et al. A Biogenic Photovoltaic Material. Small. 2018, 14(26). doi: 10.1002/smll.201800729

[24]Lee J, Choi J, Park W, et al. A Dual-Stage Solar Power Prediction Model That Reflects Uncertainties in Weather Forecasts. Energies. 2023, 16(21): 7321. doi: 10.3390/en16217321

[25]Mehdinia A, Mehrabi H. Application of nanomaterials for removal of environmental pollution. In: Thomas S, Grohens Y, Pottathara YB (editors). Industrial Applications of Nanomaterials. Elsevier; 2019. pp. 365-402. doi: 10.1016/b978-0-12-815749-7.00013-x

[26]Abdelkareem MA, El Haj Assad M, Sayed ET, et al. Recent progress in the use of renewable energy sources to power water desalination plants. Desalination. 2018, 435: 97-113. doi: 10.1016/j.desal.2017.11.018

[27]Bera S, Saha A, Mondal S, et al. Review of defect engineering in perovskites for photovoltaic application. Materials Advances. 2022, 3(13): 5234-5247. doi: 10.1039/d2ma00194b

[28]Richards BS, Shen J, Schäfer AI. Water–Energy Nexus Perspectives in the Context of Photovoltaic‐Powered Decentralized Water Treatment Systems: A Tanzanian Case Study. Energy Technology. 2017, 5(7): 1112-1123. doi: 10.1002/ente.201600728

[29]Ben Ali I, Turki M, Belhadj J, et al. Using quasi-static model for water/power management of a stand-alone wind/photovoltaic/BWRO desalination system without batteries. In: Proceedings of the 2016 7th International Renewable Energy Congress (IREC); 22-24 March 2016; Hammamet, Tunisia. pp. 1-6. doi: 10.1109/irec.2016.7478871

[30]Kharraz JA, Richards BS, Schäfer AI. Autonomous Solar-Powered Desalination Systems for Remote Communities. In: Arafat HA (editor). Desalination Sustainability: A Technical, Socio-Economical and Environmental Approach. Elsevier; 2017. pp. 75-125. doi: 10.1016/b978-0-12-809791-5.00003-1

[31]Wang D, Zhou G, Li Y, et al. High‐Performance Organic Solar Cells from Non‐Halogenated Solvents. Advanced Functional Materials. 2021, 32(4). doi: 10.1002/adfm.202107827

[32]Richards BS, Capão DPS, Früh WG, et al. Renewable energy powered membrane technology: Impact of solar irradiance fluctuations on performance of a brackish water reverse osmosis system. Separation and Purification Technology. 2015, 156: 379-390. doi: 10.1016/j.seppur.2015.10.025

[33]Danladi E, Ichoja A, Onoja ED, et al. Broad-band-enhanced and minimal hysteresis perovskite solar cells with interfacial coating of biogenic plasmonic light trapping silver nanoparticles. Materials Research Innovations. 2023, 27(7): 521-536. doi: 10.1080/14328917.2023.2204585

[34]Meena RS, Singh A, Urhekar S, et al. Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems. International Journal of Photoenergy. 2022, 2022: 1-8. doi: 10.1155/2022/3437364

[35]Mateo Romero HF, González Rebollo MÁ, Cardeñoso-Payo V, et al. Applications of Artificial Intelligence to Photovoltaic Systems: A Review. Applied Sciences. 2022, 12(19): 10056. doi: 10.3390/app121910056

Published

2024-02-25

How to Cite

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

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