TY - GEN
T1 - Data analysis for effective monitoring of partially shaded photovoltaic systems
AU - Tsafarakis, O.
AU - Sinapis, K.
AU - van Sark, W.G.J.H.M.
PY - 2018
Y1 - 2018
N2 - The purpose of this study is the development of an algorithmic tool to automate the process of analyzing monitoring data of partially shaded PV systems. The approach is to compare long-term and high-resolution yield data of a partially shaded Photovoltaic (PV) system (investigated PV) with the yield data of an unshaded PV system or the tilted irradiance (reference PV system) and automatically detect the energy loss due to the expected shadow, caused by any surrounding obstacles and distinguish it from any additional energy loss due to other malfunctions.
AB - The purpose of this study is the development of an algorithmic tool to automate the process of analyzing monitoring data of partially shaded PV systems. The approach is to compare long-term and high-resolution yield data of a partially shaded Photovoltaic (PV) system (investigated PV) with the yield data of an unshaded PV system or the tilted irradiance (reference PV system) and automatically detect the energy loss due to the expected shadow, caused by any surrounding obstacles and distinguish it from any additional energy loss due to other malfunctions.
U2 - 10.1109/PVSC.2017.8521472
DO - 10.1109/PVSC.2017.8521472
M3 - Conference contribution
SP - 1090
EP - 1093
BT - Proceedings 44th Photovoltaic Specialist Conference
ER -