RT info:eu-repo/semantics/conferenceProceedings
T1 PV panel monitoring system for cell temperature analysis and comparison by embedded models
A1 González, I.
A1 Folgado, F.J.
A1 Orellana, D.
A1 Calderón, D.
A1 Calderón, A.J.
A2 Domínguez GonzálezM.
A2 Cabrera SantanaP.J.
A2 Irigoyen GordoE.
A2 Otros
K1 Ingeniería de sistemas
K1 Renewable energy
K1 Photovoltaic
K1 Grafana, IoT
K1 Monitoring system
K1 3310.05 Ingeniería de Procesos
AB [EN] In recent decades, the use of renewable energy sources and the development of related technologies have been boosted due to the energy and environmental paradigm, with photovoltaic (PV) panels being one of the most implemented and optimised to date. The behaviour of panel operation is dependent on multiple parameters such as irradiance, wind speed or operating temperature. This paper presents a monitoring system based on IoT software focused on the study of the cell temperature (CT) of PV panels, highlighting the importance of this variable in the current generation and the equipment overall performance. For this purpose, a dashboard is implemented in Grafana to visualise the evolution of the CT and the associated variables. The implemented dashboard includes embedded models for the simulation of CT, in order to compare real and simulation data. This comparison determines the most suitable model to the real dynamics and could facilitate the development of intelligent control strategies for the panel
PB Universidad de León
SN 978-84-18490-65-1
LK http://hdl.handle.net/10612/16803
UL http://hdl.handle.net/10612/16803
NO González, I., Folgado, F.J., Orellana, D., Calderón, D., Calderón, A.J. (2022). PV panel monitoring system for cell temperature analysis and comparison by embedded models. XVII Simposio CEA de Control Inteligente: Reunión anual del grupo de Control Inteligente del comité español de automática (CEA). Libro de Actas, León, 27-29 de junio de 2022. 42-46
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 02-jun-2024