Design, Implementation and Comparative Analysis of Three Models for Estimation of Solar Radiation Components on a Horizontal Surface
dc.contributor.author | Rougab, Ilyas | |
dc.contributor.author | Barambones, Oscar | |
dc.contributor.author | Silaa, Mohammed Yousri | |
dc.contributor.author | Cheknane, Ali | |
dc.date.accessioned | 2024-02-06T17:49:48Z | |
dc.date.available | 2024-02-06T17:49:48Z | |
dc.date.issued | 2024-01-05 | |
dc.identifier.citation | Symmetry 16(1) : (2024) // Article ID 71 | es_ES |
dc.identifier.issn | 2073-8994 | |
dc.identifier.uri | http://hdl.handle.net/10810/64705 | |
dc.description.abstract | Solar radiation data play a pivotal role in harnessing solar energy. Unfortunately, the availability of these data is limited due to the sparse distribution of meteorological stations worldwide. This paper introduces and simulates three models designed for estimating and predicting global solar radiation at ground level. Furthermore, it conducts an in-depth analysis and comparison of the simulation results derived from these models, utilizing measured data from selected sites in Algeria where such information is accessible. The focus of our study revolves around three empirical models: Capderou, Lacis and Hansen, and Liu and Jordan. These models utilize day number and solar factor as input parameters, along with the primary site’s geographical coordinates—longitude, latitude, and altitude. Additionally, meteorological parameters such as relative humidity, temperature, and pressure are incorporated into the models. The objective is to estimate global solar radiation for any given day throughout the year at the specified location. Upon simulation, the results highlight that the Capderou model exhibits superior accuracy in approximating solar components, demonstrating negligible deviations between real and estimated values, especially under clear-sky conditions. However, these models exhibit certain limitations in adverse weather conditions. Consequently, alternative approaches, such as fuzzy logic methods or models based on satellite imagery, become essential for accurate predictions in inclement weather scenarios. | es_ES |
dc.description.sponsorship | The authors wish to express their gratitude to the Basque Government through the project EKOHEGAZ II (ELKARTEK KK-2023/00051), to the Diputación Foral de Álava (DFA) through the project CONAVANTER, and to the UPV/EHU through the project GIU20/063 for supporting this work. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | |
dc.subject | solar components | es_ES |
dc.subject | estimation of global radiation | es_ES |
dc.subject | measured data | es_ES |
dc.subject | Capderou model | es_ES |
dc.subject | Lacis and Hansen model | es_ES |
dc.subject | Liu and Jordan model | es_ES |
dc.subject | statistical errors | es_ES |
dc.title | Design, Implementation and Comparative Analysis of Three Models for Estimation of Solar Radiation Components on a Horizontal Surface | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2024-01-26T14:10:54Z | |
dc.rights.holder | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/2073-8994/16/1/71 | es_ES |
dc.identifier.doi | 10.3390/sym16010071 | |
dc.departamentoes | Ingeniería de sistemas y automática | |
dc.departamentoeu | Sistemen ingeniaritza eta automatika |
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Except where otherwise noted, this item's license is described as © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).