Estimating degradation rates from 27 different PV modules installed in desert conditions using the NREL/Rdtools
| Autor: | Ammar Elnosh, Marco Stefancich, Jim Joseph John, Aaesha Alnuaimi, Pedro Banda |
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| Rok vydání: | 2018 |
| Předmět: |
Radiation model
020208 electrical & electronic engineering Photovoltaic system 0202 electrical engineering electronic engineering information engineering Environmental science 02 engineering and technology 010501 environmental sciences 01 natural sciences Copper indium gallium selenide solar cells 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). |
| DOI: | 10.1109/pvsc.2018.8547283 |
| Popis: | The performance degradation of 27 different types of PV modules installed for more than 2years in desert condition of Dubai has been reported. The new python-based tool known as NREL/Rdtools has been used to extract the degradation rate of all the PV modules. Sensor irradiancedata and clear-sky modeling approach have been used in this work. In general, mono-Si PV modules shows lower degradation compared to poly-Si and thinfilm technologies. The best performing PV modules are both mono-Si that showed degradation rate less than 0.07%/yr. The worst performing module was a CIGS with 3.9%/yr and a Poly-Si with 2.9%/yr. On an average, poly-SiPV modules showed 1.46%/yr degradation based on solar radiation sensors data while the use of a clear-sky based solar radiation model provides a lower figure of 0.55%/yr. The dominating degradation in poly-Si PV modules affects Isc, suggesting increased optical losses. |
| Databáze: | OpenAIRE |
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