Evaluation of the PV energy production determined by measurements, simulation and analytical calculations

The study provides a comparative analysis of the energy production of a 3 kW peak PV array connected in an islanded microgrid, in correlation with solar radiation and ambient temperature measurements. The experimental system is located in Cluj-Napoca Romania and was monitored during the year 2017, b...

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Main Authors: Petreuş Dorin, Bălan Mugur, Pop Octavian, Etz Radu, Patărău Toma
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/11/e3sconf_enviro2018_04002.pdf
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spelling doaj-55c6e2b9addc42e1ba9977cada48a2252021-04-02T09:45:33ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01850400210.1051/e3sconf/20198504002e3sconf_enviro2018_04002Evaluation of the PV energy production determined by measurements, simulation and analytical calculationsPetreuş DorinBălan MugurPop OctavianEtz RaduPatărău TomaThe study provides a comparative analysis of the energy production of a 3 kW peak PV array connected in an islanded microgrid, in correlation with solar radiation and ambient temperature measurements. The experimental system is located in Cluj-Napoca Romania and was monitored during the year 2017, based on a graphical user interface. It was also evaluated the capability to predict the PV energy production by using the PV*SOL simulation software and an analytical model, developed at the Technical University of Cluj-Napoca. As input data in the analytical model was used the measured solar radiation and ambient temperature while in the simulations was used alternatively measured data and average meteorological data available in the software database. Besides energy production it was compared the solar radiation on the tilted plane of the PV panels, the PV panel's temperature and the system efficiency. For the predictions accuracy evaluation it was used the weighted mean absolute error based on total energy production, which was found to be lower than 1%, in good agreement with the values reported in literature. The outcomes of this study are valuable for expanding the PV installations in this area and for predictive energy management developments.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/11/e3sconf_enviro2018_04002.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Petreuş Dorin
Bălan Mugur
Pop Octavian
Etz Radu
Patărău Toma
spellingShingle Petreuş Dorin
Bălan Mugur
Pop Octavian
Etz Radu
Patărău Toma
Evaluation of the PV energy production determined by measurements, simulation and analytical calculations
E3S Web of Conferences
author_facet Petreuş Dorin
Bălan Mugur
Pop Octavian
Etz Radu
Patărău Toma
author_sort Petreuş Dorin
title Evaluation of the PV energy production determined by measurements, simulation and analytical calculations
title_short Evaluation of the PV energy production determined by measurements, simulation and analytical calculations
title_full Evaluation of the PV energy production determined by measurements, simulation and analytical calculations
title_fullStr Evaluation of the PV energy production determined by measurements, simulation and analytical calculations
title_full_unstemmed Evaluation of the PV energy production determined by measurements, simulation and analytical calculations
title_sort evaluation of the pv energy production determined by measurements, simulation and analytical calculations
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description The study provides a comparative analysis of the energy production of a 3 kW peak PV array connected in an islanded microgrid, in correlation with solar radiation and ambient temperature measurements. The experimental system is located in Cluj-Napoca Romania and was monitored during the year 2017, based on a graphical user interface. It was also evaluated the capability to predict the PV energy production by using the PV*SOL simulation software and an analytical model, developed at the Technical University of Cluj-Napoca. As input data in the analytical model was used the measured solar radiation and ambient temperature while in the simulations was used alternatively measured data and average meteorological data available in the software database. Besides energy production it was compared the solar radiation on the tilted plane of the PV panels, the PV panel's temperature and the system efficiency. For the predictions accuracy evaluation it was used the weighted mean absolute error based on total energy production, which was found to be lower than 1%, in good agreement with the values reported in literature. The outcomes of this study are valuable for expanding the PV installations in this area and for predictive energy management developments.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/11/e3sconf_enviro2018_04002.pdf
work_keys_str_mv AT petreusdorin evaluationofthepvenergyproductiondeterminedbymeasurementssimulationandanalyticalcalculations
AT balanmugur evaluationofthepvenergyproductiondeterminedbymeasurementssimulationandanalyticalcalculations
AT popoctavian evaluationofthepvenergyproductiondeterminedbymeasurementssimulationandanalyticalcalculations
AT etzradu evaluationofthepvenergyproductiondeterminedbymeasurementssimulationandanalyticalcalculations
AT patarautoma evaluationofthepvenergyproductiondeterminedbymeasurementssimulationandanalyticalcalculations
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