String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters

Rooftop photovoltaic (PV) systems are a feasible option to address electricity costs in both residential and industrial sectors. It must be highlighted that multi-string inverters boost the penetration of this type of systems. In the literature many studies have been conducted on the performance ana...

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Autores: Muñoz-Rodríguez, Francisco José, Sánchez-Jiménez, José Luis, Robles, Carlos, Ventura, Cristina, Gilabert, C., Rus, Catalina, Jiménez-Castillo, Gabino
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/7304
Acceso en línea:https://doi.org/10.1016/j.solener.2026.11435
https://www.sciencedirect.com/science/article/pii/S0038092X26000472
https://hdl.handle.net/10953/7304
Access Level:acceso abierto
Palabra clave:Photovoltaics
Monitored data
Performance analysis
Multistring inverter
Rooftop PV
Energy&Fuel
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spelling String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT invertersMuñoz-Rodríguez, Francisco JoséSánchez-Jiménez, José LuisRobles, CarlosVentura, CristinaGilabert, C.Rus, CatalinaJiménez-Castillo, GabinoPhotovoltaicsMonitored dataPerformance analysisMultistring inverterRooftop PVEnergy&FuelRooftop photovoltaic (PV) systems are a feasible option to address electricity costs in both residential and industrial sectors. It must be highlighted that multi-string inverters boost the penetration of this type of systems. In the literature many studies have been conducted on the performance analysis of Rooftop PV from monitored data. However, they focus on the inverter output: they don’t assess the performance of the different strings and MPPTs. This fact may make it difficult to assess low performance, which may be masked by the global inverter performance. Therefore, the main goal of this paper is to provide a new performance analysis approach which focus on the DC side of the inverter and will be based on the performance analysis per string, per MPPT and at a global level at the input of the inverter. In this sense, weighted calculated parameters should be considered. Monitored data from Rooftops PV in two olive mills will illustrate this new methodology. Moreover, a Rooftop PV with a gable roof is analysed. Results show that this approach may help when identifying strings that provide low performance values where, if the rest of strings and MPPTs provide a proper performance, this malfunctioning may be difficult to detect in a global performance analysis. Therefore, this disaggregated and embedded approach not only allows a better low performance detection but can also play a fundamental role in maintaining the desired performance and meeting the design requirements.his research was funded by the Agencia Estatal de Investigación (AEI) Projects oriented towards the ecological transition and the digital transition. (Grant No. TED2021-131137B-I00 “ Aportacion a la Transicion Ecologica en el sector Industrial a traves del Autoconsumo Fotovoltaico”).Elsevier202620262026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1016/j.solener.2026.11435https://www.sciencedirect.com/science/article/pii/S0038092X26000472https://hdl.handle.net/10953/7304reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésSolar EnergyAttribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/73042026-06-24T12:41:07Z
dc.title.none.fl_str_mv String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
title String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
spellingShingle String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
Muñoz-Rodríguez, Francisco José
Photovoltaics
Monitored data
Performance analysis
Multistring inverter
Rooftop PV
Energy&Fuel
title_short String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
title_full String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
title_fullStr String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
title_full_unstemmed String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
title_sort String level DC performance analysis in Rooftop photovoltaic systems with multi-MPPT inverters
dc.creator.none.fl_str_mv Muñoz-Rodríguez, Francisco José
Sánchez-Jiménez, José Luis
Robles, Carlos
Ventura, Cristina
Gilabert, C.
Rus, Catalina
Jiménez-Castillo, Gabino
author Muñoz-Rodríguez, Francisco José
author_facet Muñoz-Rodríguez, Francisco José
Sánchez-Jiménez, José Luis
Robles, Carlos
Ventura, Cristina
Gilabert, C.
Rus, Catalina
Jiménez-Castillo, Gabino
author_role author
author2 Sánchez-Jiménez, José Luis
Robles, Carlos
Ventura, Cristina
Gilabert, C.
Rus, Catalina
Jiménez-Castillo, Gabino
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Photovoltaics
Monitored data
Performance analysis
Multistring inverter
Rooftop PV
Energy&Fuel
topic Photovoltaics
Monitored data
Performance analysis
Multistring inverter
Rooftop PV
Energy&Fuel
description Rooftop photovoltaic (PV) systems are a feasible option to address electricity costs in both residential and industrial sectors. It must be highlighted that multi-string inverters boost the penetration of this type of systems. In the literature many studies have been conducted on the performance analysis of Rooftop PV from monitored data. However, they focus on the inverter output: they don’t assess the performance of the different strings and MPPTs. This fact may make it difficult to assess low performance, which may be masked by the global inverter performance. Therefore, the main goal of this paper is to provide a new performance analysis approach which focus on the DC side of the inverter and will be based on the performance analysis per string, per MPPT and at a global level at the input of the inverter. In this sense, weighted calculated parameters should be considered. Monitored data from Rooftops PV in two olive mills will illustrate this new methodology. Moreover, a Rooftop PV with a gable roof is analysed. Results show that this approach may help when identifying strings that provide low performance values where, if the rest of strings and MPPTs provide a proper performance, this malfunctioning may be difficult to detect in a global performance analysis. Therefore, this disaggregated and embedded approach not only allows a better low performance detection but can also play a fundamental role in maintaining the desired performance and meeting the design requirements.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.solener.2026.11435
https://www.sciencedirect.com/science/article/pii/S0038092X26000472
https://hdl.handle.net/10953/7304
url https://doi.org/10.1016/j.solener.2026.11435
https://www.sciencedirect.com/science/article/pii/S0038092X26000472
https://hdl.handle.net/10953/7304
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Solar Energy
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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