Modeling and simulation of silicon solar cells under low concentration conditions

Today's research on concentrated photovoltaic (CPV) cells focuses on creating multi-junction semiconductor solar cells capable of withstanding high temperatures without losing their properties. This paper investigated silicon low concentrated photovoltaic (LCPV) devices using Fresnel lenses. Th...

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Main Authors: Dosymbetova, Gulbakhar, Mekhilef, Saad, Saymbetov, Ahmet, Nurgaliyev, Madiyar, Kapparova, Ainur, Manakov, Sergey, Orynbassar, Sayat, Kuttybay, Nurzhigit, Svanbayev, Yeldos, Yuldoshev, Isroil, Zholamanov, Batyrbek, Koshkarbay, Nursultan
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Published: MDPI 2022
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Online Access:http://eprints.um.edu.my/40278/
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spelling my.um.eprints.402782023-11-20T08:59:55Z http://eprints.um.edu.my/40278/ Modeling and simulation of silicon solar cells under low concentration conditions Dosymbetova, Gulbakhar Mekhilef, Saad Saymbetov, Ahmet Nurgaliyev, Madiyar Kapparova, Ainur Manakov, Sergey Orynbassar, Sayat Kuttybay, Nurzhigit Svanbayev, Yeldos Yuldoshev, Isroil Zholamanov, Batyrbek Koshkarbay, Nursultan TK Electrical engineering. Electronics Nuclear engineering Today's research on concentrated photovoltaic (CPV) cells focuses on creating multi-junction semiconductor solar cells capable of withstanding high temperatures without losing their properties. This paper investigated silicon low concentrated photovoltaic (LCPV) devices using Fresnel lenses. The parameters of the silicon CPV cell were measured to simulate its operation based on a single-diode model with four and five parameters. The most optimal position of the Fresnel lens relative to the solar cell was shown, and the dependence of the CPV efficiency on the concentration ratio, incident solar power, and temperature was studied. Experiments on heating of a solar cell were conducted to build a model of heating of a solar cell under different solar radiation based on machine learning. Additionally, a cooling system was developed, and experiments were conducted for one LCPV cell. The resulting LCPV model was used to predict electrical power output and temperature change pattern using clear day data. Results of modeling show increase in generated energy by 27% compared with non-concentrated solar cells. Cooling system energy consumption was simulated, and the optimum cooling regime was determined. The proposed LCPV system can be used as a hybrid heat and electricity source, increase power generation, and does not require new solar cell production technologies. MDPI 2022-12 Article PeerReviewed Dosymbetova, Gulbakhar and Mekhilef, Saad and Saymbetov, Ahmet and Nurgaliyev, Madiyar and Kapparova, Ainur and Manakov, Sergey and Orynbassar, Sayat and Kuttybay, Nurzhigit and Svanbayev, Yeldos and Yuldoshev, Isroil and Zholamanov, Batyrbek and Koshkarbay, Nursultan (2022) Modeling and simulation of silicon solar cells under low concentration conditions. Energies, 15 (24). ISSN 1996-1073, DOI https://doi.org/10.3390/en15249404 <https://doi.org/10.3390/en15249404>. 10.3390/en15249404
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Dosymbetova, Gulbakhar
Mekhilef, Saad
Saymbetov, Ahmet
Nurgaliyev, Madiyar
Kapparova, Ainur
Manakov, Sergey
Orynbassar, Sayat
Kuttybay, Nurzhigit
Svanbayev, Yeldos
Yuldoshev, Isroil
Zholamanov, Batyrbek
Koshkarbay, Nursultan
Modeling and simulation of silicon solar cells under low concentration conditions
description Today's research on concentrated photovoltaic (CPV) cells focuses on creating multi-junction semiconductor solar cells capable of withstanding high temperatures without losing their properties. This paper investigated silicon low concentrated photovoltaic (LCPV) devices using Fresnel lenses. The parameters of the silicon CPV cell were measured to simulate its operation based on a single-diode model with four and five parameters. The most optimal position of the Fresnel lens relative to the solar cell was shown, and the dependence of the CPV efficiency on the concentration ratio, incident solar power, and temperature was studied. Experiments on heating of a solar cell were conducted to build a model of heating of a solar cell under different solar radiation based on machine learning. Additionally, a cooling system was developed, and experiments were conducted for one LCPV cell. The resulting LCPV model was used to predict electrical power output and temperature change pattern using clear day data. Results of modeling show increase in generated energy by 27% compared with non-concentrated solar cells. Cooling system energy consumption was simulated, and the optimum cooling regime was determined. The proposed LCPV system can be used as a hybrid heat and electricity source, increase power generation, and does not require new solar cell production technologies.
format Article
author Dosymbetova, Gulbakhar
Mekhilef, Saad
Saymbetov, Ahmet
Nurgaliyev, Madiyar
Kapparova, Ainur
Manakov, Sergey
Orynbassar, Sayat
Kuttybay, Nurzhigit
Svanbayev, Yeldos
Yuldoshev, Isroil
Zholamanov, Batyrbek
Koshkarbay, Nursultan
author_facet Dosymbetova, Gulbakhar
Mekhilef, Saad
Saymbetov, Ahmet
Nurgaliyev, Madiyar
Kapparova, Ainur
Manakov, Sergey
Orynbassar, Sayat
Kuttybay, Nurzhigit
Svanbayev, Yeldos
Yuldoshev, Isroil
Zholamanov, Batyrbek
Koshkarbay, Nursultan
author_sort Dosymbetova, Gulbakhar
title Modeling and simulation of silicon solar cells under low concentration conditions
title_short Modeling and simulation of silicon solar cells under low concentration conditions
title_full Modeling and simulation of silicon solar cells under low concentration conditions
title_fullStr Modeling and simulation of silicon solar cells under low concentration conditions
title_full_unstemmed Modeling and simulation of silicon solar cells under low concentration conditions
title_sort modeling and simulation of silicon solar cells under low concentration conditions
publisher MDPI
publishDate 2022
url http://eprints.um.edu.my/40278/
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score 13.244413