Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure
<p dir="ltr">The adaptation of modeled solar radiation data with coincident ground measurements has become a standard practice of the industry, typically requested by financial institutions in the detailed solar resource assessments of solar projects. This practice mitigates the risk...
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| مؤلفون آخرون: | , , |
| منشور في: |
2020
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| _version_ | 1864513516048744448 |
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| author | Carlos M. Fernández-Peruchena (18558904) |
| author2 | Jesús Polo (18558907) Luis Martín (2434954) Luis Mazorra (18558910) |
| author2_role | author author author |
| author_facet | Carlos M. Fernández-Peruchena (18558904) Jesús Polo (18558907) Luis Martín (2434954) Luis Mazorra (18558910) |
| author_role | author |
| dc.creator.none.fl_str_mv | Carlos M. Fernández-Peruchena (18558904) Jesús Polo (18558907) Luis Martín (2434954) Luis Mazorra (18558910) |
| dc.date.none.fl_str_mv | 2020-07-02T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/rs12132127 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Site-Adaptation_of_Modeled_Solar_Radiation_Data_The_SiteAdapt_Procedure/25826038 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Geomatic engineering Information and computing sciences Data management and data science site-adaptation data fusion bankability of solar projects satellite-derived irradiance bias removal |
| dc.title.none.fl_str_mv | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The adaptation of modeled solar radiation data with coincident ground measurements has become a standard practice of the industry, typically requested by financial institutions in the detailed solar resource assessments of solar projects. This practice mitigates the risk of solar projects, enhancing the adequate solar plant design and reducing the uncertainty of its yield estimates. This work presents a procedure for improving the accuracy of modeled solar irradiance series through site-adaptation with coincident ground-based measurements relying on the use of a regression preprocessing followed by an empirical quantile mapping (eQM) correction. It was tested at nine sites in a wide range of latitudes and climates, resulting in significant improvements of statistical indicators of dispersion, distribution similarity and overall performance: relative bias is reduced on average from −1.8% and −2.3% to 0.1% and 0.3% for GHI and DNI, respectively; relative root mean square deviation is reduced on average from 17.9% and 34.9% to 14.6% and 29.8% for GHI and DNI, respectively; the distribution similarity is also improved after the site-adaptation (KSI is 3.5 and 3.9 times lower for GHI and DNI at hourly scale, respectively). The methodology is freely available as supplementary material and downloadable as R-package from SiteAdapt.</p><h2>Other Information</h2><p dir="ltr">Published in: Remote Sensing<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/rs12132127" target="_blank">https://dx.doi.org/10.3390/rs12132127</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ba09f9926b97538c1b270729c26dabe2 |
| identifier_str_mv | 10.3390/rs12132127 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25826038 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt ProcedureCarlos M. Fernández-Peruchena (18558904)Jesús Polo (18558907)Luis Martín (2434954)Luis Mazorra (18558910)EngineeringGeomatic engineeringInformation and computing sciencesData management and data sciencesite-adaptationdata fusionbankability of solar projectssatellite-derived irradiancebias removal<p dir="ltr">The adaptation of modeled solar radiation data with coincident ground measurements has become a standard practice of the industry, typically requested by financial institutions in the detailed solar resource assessments of solar projects. This practice mitigates the risk of solar projects, enhancing the adequate solar plant design and reducing the uncertainty of its yield estimates. This work presents a procedure for improving the accuracy of modeled solar irradiance series through site-adaptation with coincident ground-based measurements relying on the use of a regression preprocessing followed by an empirical quantile mapping (eQM) correction. It was tested at nine sites in a wide range of latitudes and climates, resulting in significant improvements of statistical indicators of dispersion, distribution similarity and overall performance: relative bias is reduced on average from −1.8% and −2.3% to 0.1% and 0.3% for GHI and DNI, respectively; relative root mean square deviation is reduced on average from 17.9% and 34.9% to 14.6% and 29.8% for GHI and DNI, respectively; the distribution similarity is also improved after the site-adaptation (KSI is 3.5 and 3.9 times lower for GHI and DNI at hourly scale, respectively). The methodology is freely available as supplementary material and downloadable as R-package from SiteAdapt.</p><h2>Other Information</h2><p dir="ltr">Published in: Remote Sensing<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/rs12132127" target="_blank">https://dx.doi.org/10.3390/rs12132127</a></p>2020-07-02T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/rs12132127https://figshare.com/articles/journal_contribution/Site-Adaptation_of_Modeled_Solar_Radiation_Data_The_SiteAdapt_Procedure/25826038CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/258260382020-07-02T03:00:00Z |
| spellingShingle | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure Carlos M. Fernández-Peruchena (18558904) Engineering Geomatic engineering Information and computing sciences Data management and data science site-adaptation data fusion bankability of solar projects satellite-derived irradiance bias removal |
| status_str | publishedVersion |
| title | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure |
| title_full | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure |
| title_fullStr | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure |
| title_full_unstemmed | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure |
| title_short | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure |
| title_sort | Site-Adaptation of Modeled Solar Radiation Data: The SiteAdapt Procedure |
| topic | Engineering Geomatic engineering Information and computing sciences Data management and data science site-adaptation data fusion bankability of solar projects satellite-derived irradiance bias removal |