Detecting defects in photovoltaic cells and panels and evaluating the impact output performances
| dc.contributor.author | Khan, Mohsin | |
| dc.contributor.author | Shaikh, Mohammad Faiz (21DEE42) | |
| dc.contributor.author | Nabeel Ahmad (21DEE23) | |
| dc.contributor.author | Shaikh, Hamza (21DEE40) | |
| dc.contributor.author | Sayyed, Mohsin (21DEE35) | |
| dc.date.accessioned | 2025-07-21T07:06:07Z | |
| dc.date.available | 2025-07-21T07:06:07Z | |
| dc.date.issued | 2025-06 | |
| dc.description.abstract | This project is centered on the detection and analysis of defects in photovoltaic (PV) cells and panels, along with a comprehensive evaluation of how these defects impact the output performance of solar systems. As the global shift towards renewable energy intensifies, the need for efficient and reliable solar energy systems has become increasingly important. Ensuring the optimal performance of photovoltaic installations is critical not only for maximizing energy output but also for improving the economic viability and sustainability of solar energy projects. The project utilizes a combination of advanced detection methods to identify common types of defects in PV cells. Techniques such as thermal imaging, electroluminescence (EL) imaging, and detailed visual inspections are employed to detect issues including microcracks, hotspots, and delamination. Additionally, a practical approach has been implemented by using a 24-volt DC supply in conjunction with a custom-designed photovoltaic cell fault detector circuit. This setup allows for efficient identification and confirmation of faults within the panels under controlled conditions. Following defect identification, a systematic evaluation is carried out to determine the effects of these defects on system performance. Key methodologies include power output testing, IV curve (current-voltage) analysis, and the use of simulation models to predict and quantify efficiency losses caused by specific fault types. This enables a detailed understanding of how different defects reduce the overall effectiveness and lifespan of PV systems. In addition to experimental testing, comparative studies with defect-free panels were also conducted to highlight the extent of performance degradation. Special attention was given to the correlation between defect severity and the rate of energy loss over time. The data collected from these analyses were carefully validated to ensure the accuracy and reliability of the results. The outcomes of this project aim to contribute significantly to the field of solar energy maintenance and optimization. By providing clear insights into the nature and impact of PV defects, as well as recommending best practices for maintenance and repair, the project supports the enhancement of PV system longevity and productivity. Ultimately, this work promotes the broader goal of sustainable energy development by ensuring that solar energy systems operate at their maximum potential, thus aiding in the global transition toward renewable energy solutions. | |
| dc.identifier.uri | http://aiktc.ndl.gov.in/handle/123456789/4218 | |
| dc.language.iso | en_US | |
| dc.publisher | AIKTC | |
| dc.title | Detecting defects in photovoltaic cells and panels and evaluating the impact output performances | |
| dc.type | Other |