Projects per year
Abstract
Electroluminescence (EL) imaging is a 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 framerate 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.
| Original language | English |
|---|---|
| Journal | IEEE Journal of Photovoltaics |
| Volume | 10 |
| Issue number | 3 |
| Pages (from-to) | 872 - 877 |
| ISSN | 2156-3381 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 2019 IEEE 46th Photovoltaic Specialists Conference - Chicago, United States Duration: 16 Jun 2019 → 21 Jun 2019 Conference number: 46 https://ieeexplore.ieee.org/xpl/conhome/8963747/proceeding |
Conference
| Conference | 2019 IEEE 46th Photovoltaic Specialists Conference |
|---|---|
| Number | 46 |
| Country/Territory | United States |
| City | Chicago |
| Period | 16/06/2019 → 21/06/2019 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Electroluminescence
- Imaging
- Photovoltaic cells
- Crystalline Silicon PV
- Characterization of Defects in PV
Fingerprint
Dive into the research topics of 'Drone-Based Daylight Electroluminescence Imaging of PV Modules'. Together they form a unique fingerprint.Projects
- 1 Finished
-
DronEL
Poulsen, P. B. (Project Manager), Thorsteinsson, S. (Project Participant), Forchhammer, S. (Project Participant), Benatto, G. A. D. R. (Project Participant), Riedel-Lyngskær, N. C. (Project Participant), Thorseth, A. (Project Participant), Dam-Hansen, C. (Project Participant) & Mantel, C. (Project Participant)
01/01/2017 → 31/12/2019
Project: Research
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