Modeling and Assessing the Performance of a Low-Concentration Photovoltaic System

One of the most promising renewable energy sources that could help solve a lot of the problems the current world faces is solar energy. Low-concentration photovoltaic (LCPV) systems offer significant advantages, including reduced unit costs and improved efficiency in solar power generation compared to non-concentrated photovoltaic modules. This study introduces a performance prediction model for an LCPV system that incorporates a crystalline silicon solar module positioned at the outlet aperture of a compound parabolic concentrator (CPC). Designed for a concentration level of 2.5x, the CPC serves as the concentrating element. The proposed LCPV system is modeled and simulated using MATLAB to evaluate variations in output power, short-circuit current, and open-circuit voltage under changing solar irradiance and temperature conditions. The current-voltage and power-voltage characteristics curves have been drawn for different incident solar irradiances and temperatures. The extreme power point has been identified, and the corresponding values of voltage and current have been recorded. It has been found that the open-circuit voltage rises logarithmically with increasing light intensity, whereas the short-circuit current grows linearly with sunlight concentration. It is further examined that lower module temperature resulted in higher maximum power and larger open-circuit voltage, which has a profound effect on system performance. Higher irradiance levels resulted in larger currents while voltage remained relatively constant. The developed model can be adequately used for electrical characterization and performance estimation of LCPV systems under diverse operating conditions.

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Published
2024-11-24
DOI
https://doi.org/10.1109/ispec59716.2024.10892412
Primary Topic
solar cell performance optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling and Assessing the Performance of a Low-Concentration Photovoltaic System

Faisal Masood, Shafiqur Rehman, J.I. Akhter, Mohammad Azad Alam et al.
solar cell performance optimization
article

Modeling and Assessing the Performance of a Low-Concentration Photovoltaic System

Faisal Masood, Shafiqur Rehman, J.I. Akhter, Mohammad Azad Alam, Kashif Irshad, Mohammed Zayed
article en

Abstract

One of the most promising renewable energy sources that could help solve a lot of the problems the current world faces is solar energy. Low-concentration photovoltaic (LCPV) systems offer significant advantages, including reduced unit costs and improved efficiency in solar power generation compared to non-concentrated photovoltaic modules. This study introduces a performance prediction model for an LCPV system that incorporates a crystalline silicon solar module positioned at the outlet aperture of a compound parabolic concentrator (CPC). Designed for a concentration level of 2.5x, the CPC serves as the concentrating element. The proposed LCPV system is modeled and simulated using MATLAB to evaluate variations in output power, short-circuit current, and open-circuit voltage under changing solar irradiance and temperature conditions. The current-voltage and power-voltage characteristics curves have been drawn for different incident solar irradiances and temperatures. The extreme power point has been identified, and the corresponding values of voltage and current have been recorded. It has been found that the open-circuit voltage rises logarithmically with increasing light intensity, whereas the short-circuit current grows linearly with sunlight concentration. It is further examined that lower module temperature resulted in higher maximum power and larger open-circuit voltage, which has a profound effect on system performance. Higher irradiance levels resulted in larger currents while voltage remained relatively constant. The developed model can be adequately used for electrical characterization and performance estimation of LCPV systems under diverse operating conditions.

King Fahd University of Petroleum and Minerals (SA), University of Engineering and Technology Taxila (PK)
King Fahd University of Petroleum and Minerals
Affordable and clean energy
Openalex Percentile: Top 74%
solar cell performance optimization
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