Abstract
This paper demonstrates a statistical analysis approach, which uses T-test and F-test for identifying whether the crack has significant impact on the total amount of power generated by the photovoltaic (PV) modules. Electroluminescence (EL) measurements were performed for scanning possible faults in the examined PV modules. Virtual Instrumentation (VI) LabVIEW software was applied to simulate the theoretical IV and PV curves. The approach classified only 60% of cracks that significantly impacted the total amount of power generated by PV modules.
| Original language | English |
|---|---|
| Pages (from-to) | 199-209 |
| Number of pages | 11 |
| Journal | Journal of Science: Advanced Materials and Devices |
| Volume | 2 |
| Issue number | 2 |
| Early online date | 19 May 2017 |
| DOIs | |
| Publication status | Published - Jun 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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