Statistical Modeling of UV-Induced PV Module Power Degradation Based on Acceleration Tests

Wu, Zhao Xi; Lv, Shoushou; Song, Hao; Yun, Min Ju

doi:10.1109/jphotov.2019.2950590

Cited by 3 publications

(1 citation statement)

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“…Results suggested after 3000 kWh/m 2 UV exposure, 95% of the tested modules did not exceed 8% degradation rate. Concluding, UV-induced degradation should not exceed 8% after 25 years of exposure [20]. PLR/degradation rates studies for modules exposed to outdoor conditions presented in literature are summarized in Table 1.…”

Section: Introductionmentioning

confidence: 99%

Performance Loss Rates of a 1 MWp PV Plant with Various Tilt Angle, Orientation and Installed Environment in the Capital of Cyprus

Karahüseyin

Abbasoğlu

2022

Sustainability

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Evolution from fossil fuel sources to environmentally friendly and sustainable energy sources is one of the key aspects of the energy transition goal. On the other hand, Solar Photovoltaic systems are the most promising and improving technologies in the energy market However, it is well known that the performance of PV panels decreases in the process of time. This paper focuses on analyzing the performance loss rates (PLR) of mid-scale crystalline silicon (c-Si) PV systems of the same manufacturer with different orientations and tilt angles in the same region for the duration of four years of outdoor exposure. Three commonly used statistical methods are deployed to calculate PLRs; seasonal and trend decomposition using locally weighted scatterplot smoothing (STL), classical seasonal decomposition (CSD) and year on year (YoY) methods coupled with various performance metrics, namely Performance ratio (PR), temperature corrected performance ratio TCPR) and weather corrected performance ratio suggested by National Renewable Energy Laboratory (NRELPR). It is found that PLRs of analyzed venues, Arazi, Arena and Stonite, with the YOY approach are −1.2%/year, −0.73%/year and −2.65%/year, respectivelty., respectively. Furthermore, STL method demonstrated PLRs of −0.69%/year, −0.65%/year and −2.91%/year, respectively. On the other hand, the CSD method generated positive PLRs for some inverters while aforementioned statistical approaches proposed PLRs close to −2%/year, making the CSD method inappropriate for use under a heavy soiling environment. Within two km distance, variations up-to four-fold in PLRs are recorded between the venues during analyzed period. Furthermore, variations in PLRs are more dependent on the statistical approach rather than the performance metric.

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Section: Introductionmentioning

confidence: 99%