Laser-induced Photoluminescence Imaging (LIPI)
First Light Imaging, along with Creative Sight™, Optoprim, and the Technical University of Denmark (DTU), has developed an innovative drone-based solution for fast and accurate inspection of photovoltaic plants in operation called LIPI (Laser Induced Photoluminescence Imaging). The project brings the luminescence imaging technology onto a drone and into the field.
1. PHOTOVOLTAIC IMAGING
Detecting early stage failures and degradations, defects and faults, such as cracks, broken cells interconnections, shunts, etc., is critical for the operation of solar cell farms. Luminescence has been established as a highly suitable technique to characterize silicon in the context of Photovoltaic (PV) modules and wafers(1). Two methods can be used: Electroluminescence (EL)(2) and photoluminescence (PL)(3). Widely adopted, these techniques are routinely used in R&D process monitoring and industrial control.
Challenges of the conventional approach
Electroluminescence image acquired using a C-RED 3 camera.
When an alternating current is applied to a semiconductor, light is generated. This is called electroluminescence. Photovoltaic panels are made up of silicon and have a luminescence emission peak at 1150 nm. It has been shown that the light emission is directly linked to relevant physical quantities (carrier density, diode voltage, etc.).
The emission can be sensed using an external detector and spatially resolved images of photovoltaic panel modules can be obtained using this approach. Because of the emission wavelength, SWIR cameras are most adapted to this application.
However, the technique requires electrical contact and an external power supply. Hence, in the production process, it involves that the PV cell is complete. Moreover, it also involves dismantling the PV system in case of preventive maintenance.
Laser-Induced Photoluminescence Imaging (LIPI)
Photoluminescence imaging uses optical excitation, for example with a laser. The key advantages over electroluminescence are that the technique can be applied to a wider range of samples, such as partially processed wafer, and that it avoids contact with the sample(5). Similarly to EL, the images highlight cracks and areas of potential failure.
Electroluminescence and photoluminescence signals can be used to identify defects on semiconductor materials and in particular on photovoltaic modules.
Photoluminescence has the advantage of being contactless.
2. DRONE-BASED PHOTOLUMINESCENCE INSPECTION
As a fast, safe, accurate and cost-effective solution, the inspection of photovoltaic modules with luminescence imaging is the future and a drone-based solution will bring revolutionary change to the photovoltaic industry. The technology can scale up the inspection process and enable the monitoring of large solar panel fields.
Photoluminescence image acquired with a C-RED 3 camera.
Excitation is made with a horizontal laser line.
Photoluminescence laser scanning
A laser is shaped into a line beam which excites the cells of the solar panel, which in turn remit light. The C-RED 3 camera combined to a SWIR-optimized objective lens is used to image the photoluminescence signal. By scanning the laser and SWIR camera over the PV panels high resolution images can be obtained, as illustrated on the adjacent image.
The system is completely contactless and will reveal microcracks and faults even before they become critical to energy production.
Imaging system drone payload
The laser and camera, both weight and size optimized, can be integrated in typically two types of system : hand-held and drone-embedded (4).
The advantages of embedding the imaging system on a drone are great: higher scanning speeds, access to remote locations (rooftops for example), etc.
A high precision GPS, added to the payload, makes it a fully standalone unit that needs no meta data from the drone flight controller and can thereby be mounted on any drone.
The C-RED 3 camera is able to capture full frame (640 x 512 pixels) images at 600 frames per
second, enabling high speed scanning of the photovoltaic panels.
Schematic of the full LIPI system in operation.
3. WHY C-RED 3 FOR PHOTOVOLTAIC INSPECTION?
Designed specifically to address the industry market and benefiting from the expertise gained on high end scientific cameras, First Light Imaging’s C-RED 3 offers numerous assets for photovoltaic inspection.
In the C-RED 3 camera, all the cooling system has been removed and the electronics squeezed to give a very compact high-speed SWIR camera.
Below is an insight into its advantages.
- High sensitivity and dynamic range.
The readout noise of C-RED 3 is below 40 e- rms. With the linear High Dynamic Range (HDR) mode, a 93 dB dynamic range can be reached. This is a game changer to measure low light signals, such as photoluminescence.
- Windowing and Region of Interest (ROI). Windowing mode allows to achieve faster image rate (up to 32 066 fps) while maintaining a very low noise. This feature is very interesting to optimize the compromise of framerate versus spatial resolution, and to adapt the image size to the PV cell dimension.
- High framerate. C-RED 3 can work at 600 FPS in full frame mode. The frame rate increases up to several kHz in ROI mode (for example 9.5 kHz for a 64-by-64 pixels ROI).
- Low camera latency. The delay between the end of integration and the first valid data on camera link in normal readout mode full frame is 22.2 µs (default) and can be tuned down to 7.4 µs.
- Electronic shutter. C-RED 3 embeds an electronic shutter with integration pulses shorter than 5 µs in full frame mode. This enables ultra-crisp images to be acquired, even in case of rapid movement or turbulence.
Laboratory set-up using a C-RED 3 camera (right) and a laser module (left) for photoluminescence imaging of a PV panel
C-RED 3 is a plug-and-play SWIR camera.
Our C-RED range of cameras offers hardware optimization to adjust to your specific use case.
4. INTEGRATING C-RED 3 ON A DRONE
The C-RED 3 camera also exists in OEM (without housing) format and can be customized according to your need. First Light Imaging has worked with multiple customers over the years to help integrate C-RED 3 into their systems and products.
Please contact us to discuss your requirements!
Example of a C-RED 3 camera in a custom design
- Multi-platform. C-RED 3 can be operated on Windows® 10, Linux® Ubuntu 16.04 LTS & 18.04 LTS, and also on NVDIA® Jetson Tx2, Xavier NX and Nano.
- Multiple interface. C-RED 3 exists in two versions : USB 3.1 and CameraLink (full).
- Easy mechanical integration. The standard camera can be easily integrated in a system thanks to the holes on the bottom, the side, or the front. The OEM version is even more straightforward to fit any custom system. The electronic boards of the sensor can be set at several centimeters from the stack.
- Optical interface.C-RED 3 has a C-Mount/CS-Mount optical interface for the objective lens.
- Easy software integration. C-RED 3 is supported by our multi-camera software First Light Vision. Additionally, thanks to a versatile Software Development Kit, the camera can be interfaced with MatLab, LabView, C/C++, Python, etc.
- High image quality with on-the-fly adaptive corrections. To compensate the effects of temperature and exposure time variations on the dark frame, C-RED 3 offers an adaptive correction. Dark frames are automatically computed by the camera firmware. Calibrated in factory, this process eliminates the need to perform multiple experimental dark acquisitions, hence simplifying your experiments and optimizing the images.
C-RED 3 OEM can be customized to meet your unique requirements.
To match the exact needs of your application, the C-RED 3 camera can be customized to offer a tailored long-term solution to your product.
Electroluminescence and photoluminescence are the two main imaging techniques to check the status of solar panel photovoltaic cells. In both cases the luminescence signal is in the short wave infra-red range, requiring a SWIR camera to be detected and imaged. First Light Imaging, along with Creative Sight™, Optoprim, and the Technical University of Denmark (DTU), has developed an innovative drone-based solution for fast and accurate inspection of photovoltaic plants in operation called LIPI (Laser Induced Photoluminescence Imaging). The project brings the luminescence imaging technology onto a drone and into the field.
The C-RED 3 camera, integrated in the LIPI drone solution, is an industrial-grade SWIR camera designed for high-end machine vision applications. It enables very high-speed high-quality imaging (up to 600 fps in full frame) and gives its best performances at short exposure times.
And as we want our customers to always stay one step ahead in their own market, C-RED 3 is available in OEM version to speed up custom developments and mechanical integration.
(1) Schick, K.; Daub, E.; Finkbeiner, S.; Würfel, P. Verification of a Generalized Planck Law for Luminescence Radiation from Silicon Solar Cells. Appl. Phys. Solids Surf. 1992, 54 (2), 109–114. https://doi.org/10.1007/BF00323895.
(2) Fuyuki, T.; Kondo, H.; Yamazaki, T.; Takahashi, Y.; Uraoka, Y. Photographic Surveying of Minority Carrier Diffusion Length in Polycrystalline Silicon Solar Cells by Electroluminescence. Appl. Phys. Lett. 2005, 86 (26), 262108. https://doi.org/10.1063/1.1978979.
(3) Trupke, T. Photoluminescence Imaging for Photovoltaic Applications. 12.
(4) Alves dos Reis Benatto, G.; Mantel, C.; Spataru, S.; Santamaria Lancia, A. A.; Riedel, N.; Thorsteinsson, S.; Poulsen, P. B.; Parikh, H.; Forchhammer, S.; Sera, D. Drone-Based Daylight Electroluminescence Imaging of PV Modules. IEEE J. Photovolt. 2020, 10 (3), 872–877. https://doi.org/10.1109/JPHOTOV.2020.2978068.
(5) dos Reis Benatto, G. A.; Mantel, C.; Santamaria Lancia, A. A.; Poulsen, P. B.; Forchhammer, S.; Spataru, S. V. Laser Induced Luminescence Characterization of Mechanically Stressed PV Cells. In 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC); IEEE: Fort Lauderdale, FL, USA, 2021; pp 1949–1953. https://doi.org/10.1109/PVSC43889.2021.9518751.