Preventing Efficiency Losses in PV Panels
Preventing Efficiency Losses in PV Panels, Solar energy is a clean and sustainable energy source. PV (photovoltaic) panels may experience efficiency losses over time.
1. Regular Cleaning and Maintenance
PV panels need a clean and flat surface to receive sunlight. Dust, bird droppings and other causes that accumulate on PV panels can prevent light from reaching the panels. Regular cleaning and maintenance is very important for PV panels. You can increase efficiency by cleaning the panels with water or special cleaning products.
2. Thermal Inspection
Overheating of PV panels can cause loss of efficiency. For this reason, it is important to conduct aerial thermal inspection with a drone. Using thermal cameras or sensors, temperature analysis of the panels and anomalies are detected.
3. Reduce Shadowing
Shading can negatively affect the efficiency of PV panels. Trees, buildings or other obstacles can block the panels’ access to sunlight. Therefore, precautions should be taken to protect the panels against shading.
4. Monitoring and Data Analysis
Performing data analysis on PV panels can help you detect and correct yield losses.
5. Professional Maintenance
Having your PV panels regularly checked by a professional maintenance team can improve long-term efficiency.
By implementing these measures to improve the efficiency of solar power systems, you can increase your energy production and reduce costs in the long run.
MapperX Artificial Intelligence Software in Solar Power Plants
MapperX is an artificial intelligence software that detects faults on solar panels with 99% accuracy using image processing and machine learning technologies.
MapperX performs rapid fault detection in solar power plants, identifying damages, cracks and contamination on panels. It also reduces maintenance costs, analyzes the efficiency of the panels and saves costs by detecting changes in energy production. MapperX optimizes maintenance processes while increasing the efficiency of solar power plants.
MapperX detects and classifies faults and failures of PV panels in accordance with IEC 62446-3 standards using RGB and thermal data obtained from the air using thermal drone cameras instead of manual methods.
The main purpose of this technology is to maximize energy production by minimizing efficiency losses and costs that may occur in solar power plants. MapperX achieves this goal with the following methods:
Thermal Drone Cameras: MapperX obtains temperature distributions and thermal anomalies of PV panels using aerial thermal drones. This enables early detection of potential problems such as heating issues, cooling deficiencies or connection failures.
Color (RGB) Data: The software can also detect visual defects and pollution by analyzing color images. For example, it detects whether factors such as bird droppings or dust deposits are causing problems that could affect the performance of PV panels.
Classification with Artificial Intelligence
MapperX processes the acquired data with artificial intelligence algorithms and automatically classifies faults and failures in PV panels. It helps maintenance teams determine which problems are prioritized.
By prioritizing these detected faults and failures, MapperX enables maintenance teams to use their resources in the most efficient way. This prevents unnecessary costs and increases the efficiency of solar power plants.
The field shots we take using unmanned aerial vehicles (UAVs) and thermal drone cameras are processed by artificial intelligence and converted into RGB and thermal maps. This enables automated analysis of high-tech sites, with the aim of identifying faults that affect energy production.
By detecting problems in solar sites, MapperX provides a significant benefit to improve the performance of the sites. It can contribute 100% to maintenance work. By analyzing and reporting the thermal inspection data of solar power sites, MapperX makes maintenance activities more efficient and detects faults with 99% accuracy.
With MapperX, thermal inspections of solar power plants can be completed in a few hours. Compared to manual inspections, thermal inspection using a drone can cover up to 10 MW per hour, while manual inspections can only cover 1 MW in 10 hours.