Scientists in Colombia have made a 10-year open data set for PV panel error detection. Data was obtained using an electronic charging system, oscilloscope and thermographic camera in environmental conditions outside.
Researchers from the Metropolitan Technological Institute of Medellin (ITM) from Colombia have an open data set of PV performance aggregated under various error conditions.
Available onlineThe set contains information from different panels that have been working in the open air for more than 10 years. “This dataset offers valuable insights into the performance of photovoltaic panels in real-world error conditions, including discoloration, cracks and shadow,” said the research group. “This dataset can be used to develop and validate error detection and classification – algorithms. The combination of electrical and thermal data can also be used to build predictive models. “
The data set consists of two types of PV modules. The first is Solar Plus Energy’s SP090P panel, which includes 36 cells and is assessed for a capacity of 90 W. According to its data sheet, the short -circuit current of the panel is 5.41 A and the open circuit voltage is 22.5 V. The other included Module is ERDM Solar’s Hybrytec-M5-30/12, with 36 cells and a capacity of 30 W. The short circuit current is 1.93 A and the open circuit voltage is 21.6 V.
Three conditions were registered for each panel type, namely normal condition, discoloration error and crack errors. Each was tested as clean, with dust accumulation, and it was also measured under partial shade. The most important electric parameters, such as short-circuit current, open circuit voltage and output power, were registered in addition to thermographic images that make thermal performance analysis possible. All panels were measured on May 17, 2024, from 10 a.m. to 2 p.m.
The online database contains folders with unprocessed data or processed data. The electric part of the unprocessed data includes voltage and power, as well as the temperature and irradiation mirrors. Raw thermal data include thermal imaging. The edited electrical data section includes IV curve and power data and the processed thermal data include thermal information that has been adjusted to identify the point of the highest temperature in the panel area.
“This information can help create diagnostic instruments and improve methods for increasing the lifetime and effectiveness of solar panels by investigating how frequent defects influence the performance,” concluded the team.
The data set was presented in “Dataset of photovoltaic panel performance under various error conditions cracks, discoloration and shadow effects“Published in Data in short.
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