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Τίτλος: Can photovoltaics be used to estimate cloud cover?
Συγγραφείς: Stylianou, Stavros 
Tapakis, Rogiros 
Charalambides, Alexandros G. 
Major Field of Science: Engineering and Technology
Field Category: Environmental Engineering
Λέξεις-κλειδιά: Cloud cover;Meteorology;Photovoltaics;Weather prediction
Ημερομηνία Έκδοσης: 20-Οκτ-2020
Πηγή: International Journal of Sustainable Energy, 2020, vol. 39, no. 9, pp. 880-895
Volume: 39
Issue: 9
Start page: 880
End page: 895
Περιοδικό: International Journal of Sustainable Energy 
Περίληψη: The current study evaluates a new method for the estimation of cloud cover using only photovoltaics (PV) as ground-based irradiance sensors. Seven different scenarios were examined using 30, 50, 75, 100, 500 and 1000 randomly and 1000 non-randomly distributed residential PV stations in a study area of 10 km × 10 km For each scenario, 3500 different fractal-based cloud shadows were produced and the accuracy of the model in estimating the cloud cover, in percentage cover and in oktas, based on the number of stations being shaded, was calculated. With 30 PV stations, the model produced an average accuracy of only 57% for the predicted okta cover, while its accuracy increased to 90% and 94% with 500 and 1000 PV stations.
URI: https://hdl.handle.net/20.500.14279/19220
ISSN: 14786451
DOI: 10.1080/14786451.2020.1777129
Rights: © The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http:// creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Type: Article
Affiliation: Cyprus University of Technology 
Publication Type: Peer Reviewed
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