Drone-Based Daylight Electroluminescence Imaging of PV Modules
Source abstract
Abstract
Electroluminescence (EL) imaging is a photovoltaic (PV) module characterization technique, which provides high accuracy in detecting defects and faults, such as cracks, broken cells interconnections, shunts, among many others; furthermore, the EL technique is used extensively due to a high level of detail and direct relationship to injected carrier density. However, this technique is commonly practiced only indoors-or outdoors from dusk to dawn-because the crystalline silicon luminescence signal is several orders of magnitude lower than sunlight. This limits the potential of such a powerful technique to be used in utility scale inspections, and therefore, the interest in the development of electrical biasing tools to make outdoor EL imaging truly fast and efficient. With the focus of quickly acquiring EL images in daylight, we present in this article a drone-based system capable of acquiring EL images at a frame rate of 120 frames per second. In a single second during high irradiance conditions, this system can capture enough EL and background image pairs to create an EL PV module image that has sufficient diagnostic information to identify faults associated with power loss. The final EL images shown in this work reached representative quality SNRAVG of 4.6, obtained with algorithms developed in previous works. These drone-based EL images were acquired with global horizontal solar irradiance close to one sun in the plane of the array.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: solar cell performance optimization · Photovoltaic System Optimization Techniques · Silicon and Solar Cell Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (17)
Show source-provided references
1. Apalis TK1
2. Review of failures of photovoltaic modules
3. SM 15K - series 15kW DC power supplies
4. 10.1109/JPHOTOV.2017.271418810.1109/JPHOTOV.2017.2714188 ↗
5. 10.1103/PhysRevB.76.08530310.1103/PhysRevB.76.085303 ↗
6. 10.1109/PVSC.2017.836628810.1109/PVSC.2017.8366288 ↗
7. 10.1002/pip.294610.1002/pip.2946 ↗
8. 10.1109/PVSC.2018.854772410.1109/PVSC.2018.8547724 ↗
9. Photovoltaic devices—Part 13: Electroluminescence of photovoltaic modules
10. Outdoor electroluminescence imaging of crystalline photovoltaic modules: Comparative study between manual ground-level inspections and drone-based aerial surveys
11. 10.1109/PVSC.2017.836660210.1109/PVSC.2017.8366602 ↗
12. DaySy: Luminescence imaging of PV modules in daylight
13. Non-stationary outdoor el-measurements with a fast and highly sensitive INGAAS camera
14. 10.1109/PVSC.2018.854826410.1109/PVSC.2018.8548264 ↗
15. Review on infrared and electroluminescence imaging for PV field applications
16. Renewables 2018
17. Image processing for daylight electroluminescence PV imaging acquired in movement