Description
The average lifespan of a solar panel is typically 20-25 years, often limited by thermal mechanical stress caused by daily and seasonal temperature changes. These stresses create microcracks, leading to reduced efficiency and eventual failure. To address this, integrating stress and temperature sensors within solar panels can monitor and manage stress through a water-cooling system. The sensors are connected to the cloud through ThingSpeak, where data analysis is performed, and the entire system is integrated with a DC microgrid. A MATLAB algorithm, developed using reinforcement learning, manages the load and solar panel operation. This approach can potentially double the lifespan of solar panels while increasing their efficiency.
Publication Date
12-2024
Keywords
solar panels, microcracks, sensors, algorithm, machine learning
Disciplines
Engineering
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Rahman, Md Motinu, "Mechanical Stress in Solar Cells: Beyond the Sun's Light" (2024). Engineering Graduate Student 3MT. 1.
https://arch.astate.edu/ecs-engi3mt/1
