Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias

The accuracy, complexity and generality of 13 temperature-based solar radiation models are compared using data measured during 2003–2016 at 21 weather stations in a large coastal area of northern Spain. The comparisons are based on dimensionless statistical indicators calculated for each model at ea...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sustainability 2022-06, Vol.14 (11), p.6749
Hauptverfasser: Prieto, Jesús-Ignacio, García, David, Santoro, Ruth
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 11
container_start_page 6749
container_title Sustainability
container_volume 14
creator Prieto, Jesús-Ignacio
García, David
Santoro, Ruth
description The accuracy, complexity and generality of 13 temperature-based solar radiation models are compared using data measured during 2003–2016 at 21 weather stations in a large coastal area of northern Spain. The comparisons are based on dimensionless statistical indicators calculated for each model at each station, as well as on averages of errors calculated both for the group of eight stations located in the vicinity of the Principality of Asturias and for the set of all stations. Using site-calibrated coefficients, most models provide acceptable estimates, and no model outperforms the rest everywhere. The dispersion of the site-calibrated coefficients is analysed as a function of geographical variables, and general equations are obtained for each model, based on data from the group of eight stations. The results for the remaining stations allow the predictive capability of the models to be assessed in regions where radiometric measurements are not available. In general, models with a larger number of parameters perform worse, while a homogeneous single-parameter model achieves better results. Combined with GIS techniques, this model is used to update the Solar Map of Asturias, whose previous version was based on data from different time periods due to the scarcity of records at the time.
doi_str_mv 10.3390/su14116749
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2674412710</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A784034693</galeid><sourcerecordid>A784034693</sourcerecordid><originalsourceid>FETCH-LOGICAL-c298t-7bc5cd6a768ef7c825dfea9546388616782229183647260b71cdc3656b5db9cf3</originalsourceid><addsrcrecordid>eNpVkc9O3DAQxqOqSEXAhSew1FNRQ_0nsRNu6YpSJBASC-do4kyokROntoPYN-nj4u0iAZ6DPTO_-Sx9k2XHjJ4KUdMfYWEFY1IV9adsn1PFckZL-vnd-0t2FMIjTUcIVjO5n_1buXEGD9E8IWkmsJtgAnEDabRePOjNd7I242yNNnFDYOrJBU7owW7ThN3hOKc0Lh7znxAw9a3rwJK1s-DJLfQmabuJXLsebTgjzbwV29WiI_EPvqLXMP__NyQtA-Ew2xvABjx6vQ-y-1_nd6vf-dXNxeWquco1r6uYq06XupegZIWD0hUv-wGhLgspqkomMyrOec0qIQvFJe0U070WspRd2Xe1HsRB9nWnO3v3d8EQ20e3-GREaHmysmBcMZqo0x31ABZbMw0uJnNS9Dga7SYcTKo3qiqoKGQt0sC3DwOJifgcH2AJob1c335kT3as9i4Ej0M7ezOC37SMttvNtm-bFS8pxZVr</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2674412710</pqid></control><display><type>article</type><title>Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><creator>Prieto, Jesús-Ignacio ; García, David ; Santoro, Ruth</creator><creatorcontrib>Prieto, Jesús-Ignacio ; García, David ; Santoro, Ruth</creatorcontrib><description>The accuracy, complexity and generality of 13 temperature-based solar radiation models are compared using data measured during 2003–2016 at 21 weather stations in a large coastal area of northern Spain. The comparisons are based on dimensionless statistical indicators calculated for each model at each station, as well as on averages of errors calculated both for the group of eight stations located in the vicinity of the Principality of Asturias and for the set of all stations. Using site-calibrated coefficients, most models provide acceptable estimates, and no model outperforms the rest everywhere. The dispersion of the site-calibrated coefficients is analysed as a function of geographical variables, and general equations are obtained for each model, based on data from the group of eight stations. The results for the remaining stations allow the predictive capability of the models to be assessed in regions where radiometric measurements are not available. In general, models with a larger number of parameters perform worse, while a homogeneous single-parameter model achieves better results. Combined with GIS techniques, this model is used to update the Solar Map of Asturias, whose previous version was based on data from different time periods due to the scarcity of records at the time.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su14116749</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Coastal zone ; Coasts ; Comparative analysis ; Dimensional analysis ; Estimates ; Geographic information systems ; Radiation ; Solar energy ; Solar radiation ; Sustainability ; Variables</subject><ispartof>Sustainability, 2022-06, Vol.14 (11), p.6749</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c298t-7bc5cd6a768ef7c825dfea9546388616782229183647260b71cdc3656b5db9cf3</citedby><cites>FETCH-LOGICAL-c298t-7bc5cd6a768ef7c825dfea9546388616782229183647260b71cdc3656b5db9cf3</cites><orcidid>0000-0002-1405-3053 ; 0000-0002-8287-0880</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Prieto, Jesús-Ignacio</creatorcontrib><creatorcontrib>García, David</creatorcontrib><creatorcontrib>Santoro, Ruth</creatorcontrib><title>Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias</title><title>Sustainability</title><description>The accuracy, complexity and generality of 13 temperature-based solar radiation models are compared using data measured during 2003–2016 at 21 weather stations in a large coastal area of northern Spain. The comparisons are based on dimensionless statistical indicators calculated for each model at each station, as well as on averages of errors calculated both for the group of eight stations located in the vicinity of the Principality of Asturias and for the set of all stations. Using site-calibrated coefficients, most models provide acceptable estimates, and no model outperforms the rest everywhere. The dispersion of the site-calibrated coefficients is analysed as a function of geographical variables, and general equations are obtained for each model, based on data from the group of eight stations. The results for the remaining stations allow the predictive capability of the models to be assessed in regions where radiometric measurements are not available. In general, models with a larger number of parameters perform worse, while a homogeneous single-parameter model achieves better results. Combined with GIS techniques, this model is used to update the Solar Map of Asturias, whose previous version was based on data from different time periods due to the scarcity of records at the time.</description><subject>Accuracy</subject><subject>Coastal zone</subject><subject>Coasts</subject><subject>Comparative analysis</subject><subject>Dimensional analysis</subject><subject>Estimates</subject><subject>Geographic information systems</subject><subject>Radiation</subject><subject>Solar energy</subject><subject>Solar radiation</subject><subject>Sustainability</subject><subject>Variables</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkc9O3DAQxqOqSEXAhSew1FNRQ_0nsRNu6YpSJBASC-do4kyokROntoPYN-nj4u0iAZ6DPTO_-Sx9k2XHjJ4KUdMfYWEFY1IV9adsn1PFckZL-vnd-0t2FMIjTUcIVjO5n_1buXEGD9E8IWkmsJtgAnEDabRePOjNd7I242yNNnFDYOrJBU7owW7ThN3hOKc0Lh7znxAw9a3rwJK1s-DJLfQmabuJXLsebTgjzbwV29WiI_EPvqLXMP__NyQtA-Ew2xvABjx6vQ-y-1_nd6vf-dXNxeWquco1r6uYq06XupegZIWD0hUv-wGhLgspqkomMyrOec0qIQvFJe0U070WspRd2Xe1HsRB9nWnO3v3d8EQ20e3-GREaHmysmBcMZqo0x31ABZbMw0uJnNS9Dga7SYcTKo3qiqoKGQt0sC3DwOJifgcH2AJob1c335kT3as9i4Ej0M7ezOC37SMttvNtm-bFS8pxZVr</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Prieto, Jesús-Ignacio</creator><creator>García, David</creator><creator>Santoro, Ruth</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-1405-3053</orcidid><orcidid>https://orcid.org/0000-0002-8287-0880</orcidid></search><sort><creationdate>20220601</creationdate><title>Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias</title><author>Prieto, Jesús-Ignacio ; García, David ; Santoro, Ruth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c298t-7bc5cd6a768ef7c825dfea9546388616782229183647260b71cdc3656b5db9cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Coastal zone</topic><topic>Coasts</topic><topic>Comparative analysis</topic><topic>Dimensional analysis</topic><topic>Estimates</topic><topic>Geographic information systems</topic><topic>Radiation</topic><topic>Solar energy</topic><topic>Solar radiation</topic><topic>Sustainability</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prieto, Jesús-Ignacio</creatorcontrib><creatorcontrib>García, David</creatorcontrib><creatorcontrib>Santoro, Ruth</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prieto, Jesús-Ignacio</au><au>García, David</au><au>Santoro, Ruth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias</atitle><jtitle>Sustainability</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>14</volume><issue>11</issue><spage>6749</spage><pages>6749-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The accuracy, complexity and generality of 13 temperature-based solar radiation models are compared using data measured during 2003–2016 at 21 weather stations in a large coastal area of northern Spain. The comparisons are based on dimensionless statistical indicators calculated for each model at each station, as well as on averages of errors calculated both for the group of eight stations located in the vicinity of the Principality of Asturias and for the set of all stations. Using site-calibrated coefficients, most models provide acceptable estimates, and no model outperforms the rest everywhere. The dispersion of the site-calibrated coefficients is analysed as a function of geographical variables, and general equations are obtained for each model, based on data from the group of eight stations. The results for the remaining stations allow the predictive capability of the models to be assessed in regions where radiometric measurements are not available. In general, models with a larger number of parameters perform worse, while a homogeneous single-parameter model achieves better results. Combined with GIS techniques, this model is used to update the Solar Map of Asturias, whose previous version was based on data from different time periods due to the scarcity of records at the time.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su14116749</doi><orcidid>https://orcid.org/0000-0002-1405-3053</orcidid><orcidid>https://orcid.org/0000-0002-8287-0880</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2071-1050
ispartof Sustainability, 2022-06, Vol.14 (11), p.6749
issn 2071-1050
2071-1050
language eng
recordid cdi_proquest_journals_2674412710
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute
subjects Accuracy
Coastal zone
Coasts
Comparative analysis
Dimensional analysis
Estimates
Geographic information systems
Radiation
Solar energy
Solar radiation
Sustainability
Variables
title Comparative Analysis of Accuracy, Simplicity and Generality of Temperature-Based Global Solar Radiation Models: Application to the Solar Map of Asturias
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T22%3A19%3A09IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comparative%20Analysis%20of%20Accuracy,%20Simplicity%20and%20Generality%20of%20Temperature-Based%20Global%20Solar%20Radiation%20Models:%20Application%20to%20the%20Solar%20Map%20of%20Asturias&rft.jtitle=Sustainability&rft.au=Prieto,%20Jes%C3%BAs-Ignacio&rft.date=2022-06-01&rft.volume=14&rft.issue=11&rft.spage=6749&rft.pages=6749-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su14116749&rft_dat=%3Cgale_proqu%3EA784034693%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2674412710&rft_id=info:pmid/&rft_galeid=A784034693&rfr_iscdi=true