20.500.12556/RUL-135976 Performance of PV systems in Slovenia with the help of typical daily profiles and automatic detection of orientation and inclination angles Operators of photovoltaic (PV) systems, especially the small ones, monitor only the produced energy output, since they are not equipped with a meteorological station, or there is none in the neighbourhood. When evaluating a large number of PV systems across a region or country, access to the data due to privacy restrictions is usually very limited. To resolve both aspects, we report on a methodology to evaluate the performance of photovoltaic systems where only produced energy data and rated power of the PV system are available and all other data, including orientation and inclination angles, and the exact location are missing. We developed a novel algorithm for automatic detection of orientation/inclination angles and used the recently developed Typical Daily Profiles (TDP) methodology for a fast and accurate evaluation of PV systems. TDPs are representative hourly profiles of the observed parameter (e.g., power, irradiance and temperature) on a monthly basis. For the PV system degradation rate extraction, year-to-year TDPs are used. The case study of 957 PV systems in Slovenia in the period 2015–2019 reveals an average PV system performance ratio exceeding 85% and an average PV system rated power degradation rate of −0.7% per year. PV systems orientation/inclination angle detection typical daily profiles performance degradation rate PV sistemi detekcija orientacije in naklona modulov tipični dnevni profili učinkovitost degradacija true false true Angleški jezik Slovenski jezik Članek v reviji 2022-04-05 12:18:15 2022-04-05 12:18:17 2025-08-08 13:20:41 0000-00-00 00:00:00 2022 0 0 Str. 870-878 Vol. 236 1 Apr. 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.383.51 0038-092X 10.1016/j.solener.2022.03.059 103239171 RAZ_Brecl_Kristijan_2022.pdf RAZ_Brecl_Kristijan_2022.pdf 1 9F8B889C71E4152D1CA110CCAB0515A6 d04ecaec889337e7749770be887f05c14498323641f025304658d58895af2c6a 98334bc7-b4ca-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=155324 https://www.sciencedirect.com/science/article/pii/S0038092X22002250 1 d29b7d47-d689-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=156486 Fakulteta za elektrotehniko 0 0 0