Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions

The operating temperature is an essential parameter determining the performance of a photovoltaic (PV) module. Moreover, the estimation of the temperature in the absence of measurements is very complex, especially for outdoor conditions. Fortunately, several models with and without wind speed have b...

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Main Authors: Dang Phuc Nguyen Nguyen, Kristiaan Neyts, Johan Lauwaert
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/15/7064
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spelling doaj-25d333635f8d493e828f9f1b51f88d012021-08-06T15:19:37ZengMDPI AGApplied Sciences2076-34172021-07-01117064706410.3390/app11157064Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic ConditionsDang Phuc Nguyen Nguyen0Kristiaan Neyts1Johan Lauwaert2Department of Electronics and Information Systems, Ghent University, Technologiepark Zwijnaarde 126, 9052 Ghent, BelgiumDepartment of Electronics and Information Systems, Ghent University, Technologiepark Zwijnaarde 126, 9052 Ghent, BelgiumDepartment of Electronics and Information Systems, Ghent University, Technologiepark Zwijnaarde 126, 9052 Ghent, BelgiumThe operating temperature is an essential parameter determining the performance of a photovoltaic (PV) module. Moreover, the estimation of the temperature in the absence of measurements is very complex, especially for outdoor conditions. Fortunately, several models with and without wind speed have been proposed to predict the outdoor operating temperature of a PV module. However, a problem for these models is that their accuracy decreases when the sampling interval is smaller due to the thermal inertia of the PV modules. In this paper, two models, one with wind speed and the other without wind speed, are proposed to improve the precision of estimating the operating temperature of outdoor PV modules. The innovative aspect of this study is two novel thermal models that consider the variation of solar irradiation over time and the thermal inertia of the PV module. The calculation is applied to different types of PV modules, including crystalline silicon, thin film as well as tandem technology at different locations. The models are compared to models that are described in the literature. The results obtained in different time steps show that our proposed models achieve better performance and can be applied to different PV technologies.https://www.mdpi.com/2076-3417/11/15/7064photovoltaicmodule temperaturePV operating temperaturemodule temperature models
collection DOAJ
language English
format Article
sources DOAJ
author Dang Phuc Nguyen Nguyen
Kristiaan Neyts
Johan Lauwaert
spellingShingle Dang Phuc Nguyen Nguyen
Kristiaan Neyts
Johan Lauwaert
Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions
Applied Sciences
photovoltaic
module temperature
PV operating temperature
module temperature models
author_facet Dang Phuc Nguyen Nguyen
Kristiaan Neyts
Johan Lauwaert
author_sort Dang Phuc Nguyen Nguyen
title Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions
title_short Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions
title_full Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions
title_fullStr Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions
title_full_unstemmed Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions
title_sort proposed models to improve predicting the operating temperature of different photovoltaic module technologies under various climatic conditions
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-07-01
description The operating temperature is an essential parameter determining the performance of a photovoltaic (PV) module. Moreover, the estimation of the temperature in the absence of measurements is very complex, especially for outdoor conditions. Fortunately, several models with and without wind speed have been proposed to predict the outdoor operating temperature of a PV module. However, a problem for these models is that their accuracy decreases when the sampling interval is smaller due to the thermal inertia of the PV modules. In this paper, two models, one with wind speed and the other without wind speed, are proposed to improve the precision of estimating the operating temperature of outdoor PV modules. The innovative aspect of this study is two novel thermal models that consider the variation of solar irradiation over time and the thermal inertia of the PV module. The calculation is applied to different types of PV modules, including crystalline silicon, thin film as well as tandem technology at different locations. The models are compared to models that are described in the literature. The results obtained in different time steps show that our proposed models achieve better performance and can be applied to different PV technologies.
topic photovoltaic
module temperature
PV operating temperature
module temperature models
url https://www.mdpi.com/2076-3417/11/15/7064
work_keys_str_mv AT dangphucnguyennguyen proposedmodelstoimprovepredictingtheoperatingtemperatureofdifferentphotovoltaicmoduletechnologiesundervariousclimaticconditions
AT kristiaanneyts proposedmodelstoimprovepredictingtheoperatingtemperatureofdifferentphotovoltaicmoduletechnologiesundervariousclimaticconditions
AT johanlauwaert proposedmodelstoimprovepredictingtheoperatingtemperatureofdifferentphotovoltaicmoduletechnologiesundervariousclimaticconditions
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