Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control

The internet of things is undergoing rapid expansion, transforming diverse industries by facilitating device connectivity and supporting advanced applications. In the domain of energy production, internet of things holds substantial promise for streamlining processes and enhancing efficiency. This r...

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Detalles Bibliográficos
Autores: Benavides, Darío, Arévalo, Paul, Cano-Ortega, Antonio, Sánchez-Sutil, Francisco, Villa-Ávila, Edisson
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
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:10953/6118
Acceso en línea:https://doi.org/10.3390/en17010170
https://www.mdpi.com/1996-1073/17/1/170
https://hdl.handle.net/10953/6118
Access Level:acceso abierto
Palabra clave:IoT
Energy monitoring
Energy management
ThingSpeak
Photovoltaic
Microgrid
621.35
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spelling Energy Management Model for a Remote Microgrid Based on Demand-Side Energy ControlBenavides, DaríoArévalo, PaulCano-Ortega, AntonioSánchez-Sutil, FranciscoVilla-Ávila, EdissonIoTEnergy monitoringEnergy managementThingSpeakPhotovoltaicMicrogrid621.35The internet of things is undergoing rapid expansion, transforming diverse industries by facilitating device connectivity and supporting advanced applications. In the domain of energy production, internet of things holds substantial promise for streamlining processes and enhancing efficiency. This research introduces a comprehensive monitoring and energy management model tailored for the University of Cuenca’s microgrid system, employing internet of things and ThingSpeak as pivotal technologies. The proposed approach capitalizes on intelligent environments and employs ThingSpeak as a robust platform for presenting and analyzing data. Through the integration of internet of things devices and sensors, the photovoltaic system’s parameters, including solar radiation and temperature, are monitored in real time. The collected data undergo analysis using sophisticated models and are presented visually through ThingSpeak, facilitating effective energy management and decision making. The developed monitoring system underwent rigorous testing in a laboratory microgrid setup, where the photovoltaic system is interconnected with other generation and storage systems, as well as the electrical grid. This seamless integration enhances visibility and control over the microgrid’s energy production. The results attest to the successful implementation of the monitoring system, highlighting its efficacy in improving the supervision, automation, and analysis of daily energy production. By leveraging internet of things technologies and ThingSpeak, stakeholders gain access to real-time data, enabling them to analyze performance trends and optimize energy resources. This research underscores the practical application of internet of things in enhancing the monitoring and management of energy systems with tangible benefits for stakeholders involved.MDPI202520252023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.3390/en17010170https://www.mdpi.com/1996-1073/17/1/170https://hdl.handle.net/10953/6118reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésEnergiesAttribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/61182026-06-24T12:41:07Z
dc.title.none.fl_str_mv Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
title Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
spellingShingle Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
Benavides, Darío
IoT
Energy monitoring
Energy management
ThingSpeak
Photovoltaic
Microgrid
621.35
title_short Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
title_full Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
title_fullStr Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
title_full_unstemmed Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
title_sort Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control
dc.creator.none.fl_str_mv Benavides, Darío
Arévalo, Paul
Cano-Ortega, Antonio
Sánchez-Sutil, Francisco
Villa-Ávila, Edisson
author Benavides, Darío
author_facet Benavides, Darío
Arévalo, Paul
Cano-Ortega, Antonio
Sánchez-Sutil, Francisco
Villa-Ávila, Edisson
author_role author
author2 Arévalo, Paul
Cano-Ortega, Antonio
Sánchez-Sutil, Francisco
Villa-Ávila, Edisson
author2_role author
author
author
author
dc.subject.none.fl_str_mv IoT
Energy monitoring
Energy management
ThingSpeak
Photovoltaic
Microgrid
621.35
topic IoT
Energy monitoring
Energy management
ThingSpeak
Photovoltaic
Microgrid
621.35
description The internet of things is undergoing rapid expansion, transforming diverse industries by facilitating device connectivity and supporting advanced applications. In the domain of energy production, internet of things holds substantial promise for streamlining processes and enhancing efficiency. This research introduces a comprehensive monitoring and energy management model tailored for the University of Cuenca’s microgrid system, employing internet of things and ThingSpeak as pivotal technologies. The proposed approach capitalizes on intelligent environments and employs ThingSpeak as a robust platform for presenting and analyzing data. Through the integration of internet of things devices and sensors, the photovoltaic system’s parameters, including solar radiation and temperature, are monitored in real time. The collected data undergo analysis using sophisticated models and are presented visually through ThingSpeak, facilitating effective energy management and decision making. The developed monitoring system underwent rigorous testing in a laboratory microgrid setup, where the photovoltaic system is interconnected with other generation and storage systems, as well as the electrical grid. This seamless integration enhances visibility and control over the microgrid’s energy production. The results attest to the successful implementation of the monitoring system, highlighting its efficacy in improving the supervision, automation, and analysis of daily energy production. By leveraging internet of things technologies and ThingSpeak, stakeholders gain access to real-time data, enabling them to analyze performance trends and optimize energy resources. This research underscores the practical application of internet of things in enhancing the monitoring and management of energy systems with tangible benefits for stakeholders involved.
publishDate 2023
dc.date.none.fl_str_mv 2023
2025
2025
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/10.3390/en17010170
https://www.mdpi.com/1996-1073/17/1/170
https://hdl.handle.net/10953/6118
url https://doi.org/10.3390/en17010170
https://www.mdpi.com/1996-1073/17/1/170
https://hdl.handle.net/10953/6118
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Energies
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 MDPI
publisher.none.fl_str_mv MDPI
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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score 15,812455

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