Print Email Facebook Twitter Quantification of Shading Tolerability for Photovoltaic Modules Title Quantification of Shading Tolerability for Photovoltaic Modules Author Ziar, H. (TU Delft Photovoltaic Materials and Devices; University of Tehran) Asaei, Behzad (University of Tehran) Farhangi, Shahrokh (University of Tehran) Isabella, O. (TU Delft Photovoltaic Materials and Devices) Korevaar, M.A.N. (Kipp & Zonen) Zeman, M. (TU Delft Electrical Sustainable Energy) Department Electrical Sustainable Energy Date 2017-07-11 Abstract Despite several decades of research in the field of photovoltaic (PV) systems, shading tolerance has still not been properly addressed. PV modules are influenced by shading concerning many factors, such as number and configuration of cells in the module, electrical and thermal characteristics of the cells, number and type of bypass circuits, electrical characteristics of bypass elements, and shading profile features. Along with the random nature of shading profile over the lifetime of a PV system, it is difficult to choose the best module for a location which is most of the time sunny, partly cloudy, or cloudy. This paper suggests a measurable parameter, the so-called shading tolerability (ST), to classify PV modules regarding the ability to oppose shading effects. Based on mathematical and probability analysis, the ST parameter is extracted and then measured using a large area steady state solar simulator. Finally, the results of on-field experiments are presented as a proof for the shading quantification method and its significant contribution to performance ratio improvement. Subject Bypass diodemaximum power point tracking (MPPT)partial shadingperformance ratio (PR)photovoltaic (PV) technology To reference this document use: http://resolver.tudelft.nl/uuid:22e524c8-3d23-4a87-a9db-9044853d7a7d DOI https://doi.org/10.1109/JPHOTOV.2017.2711429 ISSN 2156-3381 Source IEEE Journal of Photovoltaics, 7 (5), 1390-1399 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2017 H. Ziar, Behzad Asaei, Shahrokh Farhangi, O. Isabella, M.A.N. Korevaar, M. Zeman Files PDF 27855023_1_Clean_Copy_Rev ... 4_2017.pdf 1.25 MB Close viewer /islandora/object/uuid:22e524c8-3d23-4a87-a9db-9044853d7a7d/datastream/OBJ/view