Advancements in Solar Cell Efficiency: The Role of Nanotechnology and IoT Integration By using Fuzzy Logic Controller
Keywords:
Fuzzy Logic Controller, IoT, Nanotechnology, Solar Cells, Energy Efficiency, Photovoltaic Systems, Solar Irradiance, Voltage Regulation, Current Regulation.Abstract
This study presents the combined effects of fuzzy logic control (FLC) and nanotechnology on the advancement of solar cell systems. Most solar cells, particularly silicon-based ones, continue to have poor energy conversion efficiencies which also fluctuate based on the solar climate and other environmental factors, temperatures, and other conditions. To address the above setbacks, the study proposed fuzzy logic controllers (FLC) which autonomously control solar-powered systems and perform real-time human-like decision-making control by “if-then” statements. The study also contrasts FLC and Proportional-Integral (PI) controllers and describes the improvements gained in efficiency and consistency in the regulation of inherently fluctuating current and voltage during environmental conditions. The study also investigates the influence of nanotechnology on solar cells and the aluminum nanoparticle-augmented solar cells light absorption and transmission. Combined utilization of FLC and nanotechnology improves solar panels efficiency nearly by 5% during low solar conditions. Further refinements by embedding Internet of Things (IoT) technologies optimally distribute systems for real-time monitoring and predictive maintenance. The results realized indicate the FLC based systems universally surpassed energy conversion efficiencies, voltage, and current stabilizing control relative to conventional controllers, especially sunlight inconstant periods. It can be concluded from this work that fuzzy logic control in conjunction with nanotechnology represents an alternative way of increasing the efficacy and dependability of solar energy systems.
Downloads
References
M. Gopal, T. Chandra Prakash, N. Venkata Ramakrishna, B.P. Yadav, IoT-based solar power monitoring system, IOP Conf. Ser. Mater. Sci. Eng. 981 (3) (2020) 032037. IOP Publishing.
International Renewable Energy Agency, Global solar energy statistics (2024) 2024. Retrieved from, https://www.irena.org.
C. Krishna Rao, S.K. Sahoo, F.F. Yanine, An IoT-based intelligent smart energy monitoring system for solar PV power generation, in: Energy Harvesting and Systems, Walter de Gruyter GmbH, 2023.
A. Kekre, S.K. Gawre, Solar photovoltaic remote monitoring system using IOT, in: 2017 International Conference on Recent Innovations in Signal Processing and Embedded Systems (RISE). 2017 International Conference on Recent Innovations in Signal Processing and Embedded Systems (RISE), IEEE, 2017.
C.K. Rao, S.K. Sahoo, F.F. Yanine, Demand side energy management algorithms integrated with the IoT framework in the PV smart grid system, in: Advanced Frequency Regulation Strategies in Renewable-Dominated Power Systems, Elsevier, 2024, pp. 255–277.
E.M. Maulana, R. Kurniawan Subroto, L. Ardhenta, PV smart grid monitoring system based on hybrid telepot and web server, Indones. J. Electr. Eng. Comput. Sci. 10 (3) (2018) 1061. Institute of Advanced Engineering and Science.
C.K. Rao, S.K. Sahoo, M. Balamurugan, S.R. Satapathy, A. Patnaik, F.F. Yanine, Applications of sensors in solar energy systems, in: 2020 International Conference on Renewable Energy Integration into Smart Grids: A Multidisciplinary Approach to Technology Modelling and Simulation (ICREISG), IEEE, 2020.
L. Atzori, A. Iera, G. Morabito, The internet of things: a survey, Comput. Netw. 54 (15) (2010) 2787–2805. Elsevier BV.
L.R. Lokesh, R. Babu, D. Rambabu, A. Rajesh Naidu, D. Prasad, R, P. Gopi Krishna, IoT enabled solar power monitoring system, Int. J. Eng. Technol. 7 (3.12) (2018) 526. Science Publishing Corporation.
W. Priharti, A.F.K. Rosmawati, I.P.D. Wibawa, IoT-based photovoltaic monitoring system application, J. Phys. Conf. 1367 (1) (2019) 012069. IOP Publishing.
C.K. Rao, S.K. Sahoo, F.F. Yanine, Demand response for renewable generation in an IoT-based intelligent smart energy management system, in: 2021 Innovations in Power and Advanced Computing Technologies (I-PACT), IEEE, 2021.
M. Mungkin, H. Satria, J. Yanti, G.B.A. Turnip, S. Suwarno, Perancangan sistem pemantauan panel surya Pollycristalline Menggunakan Teknologi web firebase berbasis IoT, INTECOMS: J. Inf. Technol. and Comp. Sci. 3 (2) (2020) 319–327. IPM2KPE.
Y.F. Li, P.J. Lin, H.F. Zhou, Z.C. Chen, L.J. Wu, S.Y. Cheng, F.P. Su, On-line monitoring system of PV array based on internet of things technology, IOP Conf. Ser. Earth Environ. Sci. 93 (2017) 012078. IOP Publishing.
N. Khadka, A. Bista, B. Adhikari, A. Shrestha, D. Bista, B. Adhikary, in: IEEE Access, Current Practices of Solar Photovoltaic Panel Cleaning System and Future Prospects of Machine Learning Implementation, vol. 8, Institute of Electrical and Electronics Engineers (IEEE), 2020, pp. 135948–135962.
C.K. Rao, S.K. Sahoo, F.F. Yanine, Design and deployment of a novel decisive algorithm to enable real-time optimal load scheduling within an intelligent smart energy management system based on IoT, Energy Rep. 12 (2024) 579–592. Elsevier BV.
W. Priharti, A.F.K. Rosmawati, I.P.D. Wibawa, IoT-based photovoltaic monitoring system application, J. Phys. Conf. 1367 (1) (2019) 012069. IOP Publishing.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.


