Show simple item record

dc.contributor.authorBouhorma, Naoufal
dc.contributor.authorMartín Cañadas, María Elena
dc.contributor.authorHoz Casas, Jordi de la
dc.contributor.authorCoronas Herrero, Sergio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.coverage.spatialeast=-7.092619999999999; north=31.791702; name=QWR4+MXJ Ben Slimane Airport., Ba Casa, Ouled Khellouf, Marroc
dc.date.accessioned2023-06-23T12:17:32Z
dc.date.available2023-06-23T12:17:32Z
dc.date.issued2023-03-06
dc.identifier.citationBouhorma, N. [et al.]. A comprehensive methodology for the statistical characterization of solar irradiation: application to the case of Morocco. "Applied sciences (Basel)", 6 Març 2023, vol. 13, núm. 5; article 3365.
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/2117/389713
dc.description.abstractThe prediction and characterization of solar irradiation relies mostly on either the use of complex models or on complicated mathematical techniques, such as artificial neural network (ANN)-based algorithms. This mathematical complexity might hamper their use by businesses and project developers when assessing the solar resource. In this study, a simple but comprehensive methodology for characterizing the solar resource for a project is presented. It is based on the determination of the best probability distribution function (PDF) of the solar irradiation for a specific location, assuming that the knowledge of statistical techniques may be more widely extended than other more complex mathematical methods. The presented methodology was tested on 23 cities across Morocco, given the high interest in solar investments in the country. As a result, a new database for solar irradiation values depending on historical data is provided for Morocco. The results show the great existing variety of PDFs for the solar irradiation data at the different months and cities, which demonstrates the need for undertaking a proper characterization of the irradiation when the assessment of solar energy projects is involved. When it is simply needed to embed the radiation uncertainty in the analysis, as is the case of the techno-economic valuation of solar energy assets, the presented methodology can reach this objective with much less complexity and less demanding input data. Moreover, its application is not limited to solar resource assessment, but can also be easily used in other fields, such as meteorology and climate change studies.
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Energies::Energia solar tèrmica::Radiació solar
dc.subject.lcshSolar radiation
dc.subject.otherSolar energy
dc.subject.otherIrradiation
dc.subject.otherSatellite data
dc.subject.otherPredictive models
dc.subject.otherProbability distribution function
dc.subject.otherMorocco
dc.titleA comprehensive methodology for the statistical characterization of solar irradiation: application to the case of Morocco
dc.typeArticle
dc.subject.lemacRadiació solar
dc.contributor.groupUniversitat Politècnica de Catalunya. SEPIC - Sistemes Electrònics de Potència i de Control
dc.identifier.doi10.3390/app13053365
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/13/5/3365
dc.rights.accessOpen Access
local.identifier.drac35613210
dc.description.versionPostprint (published version)
local.citation.authorBouhorma, N.; Martín, H.; De La Hoz, J.; Coronas, S.
local.citation.publicationNameApplied sciences (Basel)
local.citation.volume13
local.citation.number5; article 3365


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record