Data analysis for effective monitoring of partially shaded photovoltaic systems
Publication date
2017
Authors
Tsafarakis, Odysseas
Sinapis, Kostas
van Sark, W. G.J.H.M.
Editors
Smets, A.
Taylor, N.
Helm, P.
Advisors
Supervisors
Document Type
Part of book
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Abstract
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 distinct it from any additional energy loss due to other malfunctions.
Keywords
SDG 7 - Affordable and Clean Energy
Citation
Tsafarakis, O, Sinapis, K & van Sark, W G J H M 2017, Data analysis for effective monitoring of partially shaded photovoltaic systems. in A Smets, N Taylor & P Helm (eds), Proceedings of the 33rd European Photovoltaic Solar Energy Conference. WIP-Renewable Energies, Munich, Germny, pp. 1950-1953. https://doi.org/10.4229/EUPVSEC20172017-6CO.13.1