The experimental data from the performance of a 300 W poly and a 300 W mono crystalline solar module are gathered during a year, and then, it is employed to evaluate the relation between the standard deviation of temperature distribution on the surface of module and error in prediction of different simulation approaches. The values of error in prediction of working temperature, current, voltage, and power, as the four main key performance parameters of a solar module are obtained for nominal operating cell temperature, nominal module operating temperature, as well as one, two, and three dimensional numerical modeling approaches, as the most popular methods in the literature during the annual performance. The image-processing refined pictures obtained from a high-resolution thermal imaging camera are also employed for the calculation of the standard deviation of temperature distribution. The results demonstrate that the methods used in the engineering applications, like nominal operating cell temperature and nominal module operating temperature, lose their accuracy at the high level of the standard deviation of temperature distribution, i.e., around 15 °C. In addition, voltage and temperature are found as the parameters with the lowest and highest dependencies on the standard deviation of temperature distribution. The maximum values of error for prediction of power by one, two, and three dimensional numerical modeling approaches are also 14.4, 11.4, and 9.6% for the poly crystalline module, and 8.5, 6.3, and 5.2% for the mono type, respectively.

Comparative study of temperature distribution impact on prediction accuracy of simulation approaches for poly and mono crystalline solar modules / Sohani, A.; Sayyaadi, H.; Moradi, M. H.; Nastasi, B.; Groppi, D.; Zabihigivi, M.; Astiaso Garcia, D.. - In: ENERGY CONVERSION AND MANAGEMENT. - ISSN 0196-8904. - 239:(2021). [10.1016/j.enconman.2021.114221]

Comparative study of temperature distribution impact on prediction accuracy of simulation approaches for poly and mono crystalline solar modules

Nastasi B.
;
Groppi D.;Astiaso Garcia D.
2021

Abstract

The experimental data from the performance of a 300 W poly and a 300 W mono crystalline solar module are gathered during a year, and then, it is employed to evaluate the relation between the standard deviation of temperature distribution on the surface of module and error in prediction of different simulation approaches. The values of error in prediction of working temperature, current, voltage, and power, as the four main key performance parameters of a solar module are obtained for nominal operating cell temperature, nominal module operating temperature, as well as one, two, and three dimensional numerical modeling approaches, as the most popular methods in the literature during the annual performance. The image-processing refined pictures obtained from a high-resolution thermal imaging camera are also employed for the calculation of the standard deviation of temperature distribution. The results demonstrate that the methods used in the engineering applications, like nominal operating cell temperature and nominal module operating temperature, lose their accuracy at the high level of the standard deviation of temperature distribution, i.e., around 15 °C. In addition, voltage and temperature are found as the parameters with the lowest and highest dependencies on the standard deviation of temperature distribution. The maximum values of error for prediction of power by one, two, and three dimensional numerical modeling approaches are also 14.4, 11.4, and 9.6% for the poly crystalline module, and 8.5, 6.3, and 5.2% for the mono type, respectively.
comparative study; esperimentale investigation; numerical modeling simulation approach; PV solar power generation; standard deviation; temperature distribution
01 Pubblicazione su rivista::01a Articolo in rivista
Comparative study of temperature distribution impact on prediction accuracy of simulation approaches for poly and mono crystalline solar modules / Sohani, A.; Sayyaadi, H.; Moradi, M. H.; Nastasi, B.; Groppi, D.; Zabihigivi, M.; Astiaso Garcia, D.. - In: ENERGY CONVERSION AND MANAGEMENT. - ISSN 0196-8904. - 239:(2021). [10.1016/j.enconman.2021.114221]
File allegati a questo prodotto
File Dimensione Formato  
Sohani_Comparative_2021.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.79 MB
Formato Adobe PDF
3.79 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1547843
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 9
social impact