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Photovoltaic Power Prediction Using Analytical Models and Homer-Pro: Investigation of Results Reliability

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dc.citedby8
dc.contributor.authorAlhousni F.K.en_US
dc.contributor.authorAlnaimi F.B.I.en_US
dc.contributor.authorOkonkwo P.C.en_US
dc.contributor.authorBen Belgacem I.en_US
dc.contributor.authorMohamed H.en_US
dc.contributor.authorBarhoumi E.M.en_US
dc.contributor.authorid57215064807en_US
dc.contributor.authorid58027086700en_US
dc.contributor.authorid56720223700en_US
dc.contributor.authorid57205617086en_US
dc.contributor.authorid57136356100en_US
dc.contributor.authorid35766392000en_US
dc.date.accessioned2024-10-14T03:18:28Z
dc.date.available2024-10-14T03:18:28Z
dc.date.issued2023
dc.description.abstractThis paper aims to develop an analytical model for the prediction of the electricity produced in a Photovoltaic Power Station (PVS). In this context, the developed mathematical model is implemented in a Simulink Model. The obtained simulation results are compared to the experimental data, the results obtained from the software Homer-Pro model, and the results given by the online PV calculator (Photovoltaic Geographical Information System), developed by the European commission. The comparison results show the reliability of the developed analytical model for specific months of the year. However, an error of 10% between simulations and experimental results is observed for July and August. This error is mainly due to the effects of humidity and dust that were not considered in the analytical model. Nevertheless, the monthly and yearly produced electricity values show the robustness of the proposed model to predict the PVS generated power. The developed model will be used as a powerful tool for data prediction and the optimization of electricity generation. This permits us to reduce the losses in power generation by optimizing the connected generating power stations to the power grid. � 2023 by the authors.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8904
dc.identifier.doi10.3390/su15118904
dc.identifier.issue11
dc.identifier.scopus2-s2.0-85161472549
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85161472549&doi=10.3390%2fsu15118904&partnerID=40&md5=7f5c7c76b8a35959b91f2e74be65171c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34217
dc.identifier.volume15
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleSustainability (Switzerland)
dc.subjectanalytical model
dc.subjectexperimental results
dc.subjectphotovoltaic
dc.subjectprediction
dc.subjectanalytical method
dc.subjectdust
dc.subjectelectricity generation
dc.subjectoptimization
dc.subjectphotovoltaic system
dc.subjectpower generation
dc.titlePhotovoltaic Power Prediction Using Analytical Models and Homer-Pro: Investigation of Results Reliabilityen_US
dc.typeArticleen_US
dspace.entity.typePublication
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