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

• Published in: Energies (Basel) 2024-01, Vol.17 (1), p.170
• Main Authors: Benavides, Dario, Arévalo, Paul, Ortega, Antonio Cano, Sánchez-Sutil, Francisco, Villa-Ávila, Edisson
• Format: Article
• Language: English
• Subjects: Alternative energy sources; Control algorithms; Data analysis; Efficiency; Energy management; Energy management systems; energy monitoring; Energy storage; Energy use; Humidity; Information processing; Internet of Things; IoT; Machine learning; microgrid; Monitoring systems; Optimization; photovoltaic; Radiation; ThingSpeak; Water heaters
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en17010170

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.