Bypass Diodes to Improve Solar Panel Efficiency for Certain Module

Authors Jay Kumar Pandey, Vikas Kumar Aharwal
Affiliations

Department of Electrical Engineering, Dr. A.P.J. Abdul Kalam University, Indore (M.P.), India

Е-mail er.jay11@gmail.com
Issue Volume 14, Year 2022, Number 3
Dates Received 24 May 2022; revised manuscript received 22 June 2022; published online 30 June 2022
Citation Jay Kumar Pandey, Vikas Kumar Aharwal, J. Nano- Electron. Phys. 14 No 3, 03003 (2022)
DOI https://doi.org/10.21272/jnep.14(3).03003
PACS Number(s) 88.40.H –, 84.60.Jt
Keywords Solar panel efficiency, Bypass diodes, Amplification, Sun light, Technology (13) .
Annotation

The p-n junction is a small solar cell component that can create power. When photons clash with the p-n junction, electrons are absorbed by atoms and holes are released in the n-type region. The bypass diode method can boost a solar panel output power that has been lowered due to shading. In the current-voltage and power-voltage characteristics, new peaks and maximum power points were seen. The maximum notable meaningful output power without bypass diodes was observed in the 51.1 W ranges. After bypass diodes were fitted, the first peak at 116.1 W and the second peak at around 151.1 W appeared at voltages of roughly 31.1 V and 41.2 V, respectively. During periods of bright sunlight, photovoltaic solar panels (PV panels) are efficient energy sources. Excess energy can be stored and used later, such as during night or when the weather is cloudy. This proposed work investigates the use of mathematical approaches and fuzzy logic models to predict energy efficiency generation for PV panels. Analytic equations link PV panel power to temperature and solar radiation in mathematical models. This site-specific angle is defined by the sun's daily, monthly, and annual cycles. Forecasting generation and demand for power is the foundation for being on the electricity market. Power generators and distributors are the most likely to employ short-term forecasting. The primary concern of energy producers is external factors that influence output levels, such as weather.

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