Project Details
Description
Today's society and industry are in a continuous search for reducing life and production costs, with the demand for using environmentally friendly practices to contribute to the current commitment of the TEC, the country, and the world within the framework of Sustainable Development. Fortunately, photovoltaic (PV) generation technology manages to contribute to these aspects, implying that there are more and more generation facilities with a greater number of solar panels, an aspect in which the TEC has joined prominently.
The use of the entire power generation system depends on its performance, which is maximum under optimal operating conditions; this has implied a one-day increase in maintenance practices that address the problems that arise undesirably. Due to this, extensive research has been developed for the detection of suboptimal conditions in PV systems, problems with the existence of a range of solar panel fault detection techniques. Each method has its capabilities and limitations, implying that PV installations must know how to select and use one or more techniques in their maintenance plans
The project specifically aims to explore three of the most commonly used fault identification methods: visual inspection, infrared thermography, and analysis of electrical variables, to compare them with each other and provide scientific knowledge for the selection of each one. In addition, knowing that they are different, a new method will be implemented that combines to achieve maximum use of the three. For this, the research aims to develop an experiment that takes advantage of TEC's technology and infrastructure, such as: a large PV installation in operation with characteristics for research, unmanned vehicles (drones), meteorological instrumentation systems, among others
The use of the entire power generation system depends on its performance, which is maximum under optimal operating conditions; this has implied a one-day increase in maintenance practices that address the problems that arise undesirably. Due to this, extensive research has been developed for the detection of suboptimal conditions in PV systems, problems with the existence of a range of solar panel fault detection techniques. Each method has its capabilities and limitations, implying that PV installations must know how to select and use one or more techniques in their maintenance plans
The project specifically aims to explore three of the most commonly used fault identification methods: visual inspection, infrared thermography, and analysis of electrical variables, to compare them with each other and provide scientific knowledge for the selection of each one. In addition, knowing that they are different, a new method will be implemented that combines to achieve maximum use of the three. For this, the research aims to develop an experiment that takes advantage of TEC's technology and infrastructure, such as: a large PV installation in operation with characteristics for research, unmanned vehicles (drones), meteorological instrumentation systems, among others
General Objective
Desarrollar un método de identificación de fallas que integre el uso de variables eléctricas, imagines y termografías, para que se determine el estado del panel solar mediante una figura de mérito.
Research Lines
La propuesta se enmarca dentro de las siguientes líneas de investigación: Procesamiento de datos, control y optimización de la Escuela de Ingeniería en Electrónica, Dispositivos Electrónicos de la Unidad Desconcentrada de Ingeniería en Electrónica de San Carlos, Ingeniería de Software para para la Unidad Desconcentrada de Ingeniería en Computación de San Carlos, Física Aplicada para la Escuela de Física y Energía para la Escuela de Electromecánica.
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/20 → 31/12/22 |
Keywords
- analysis of electrical variables
- visual inspection
- thermography
- fault identification
- Photovoltaic systems
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