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Title: Accuracy of energy prediction methodologies
Authors: Williams, Sheryl R.
Betts, Thomas R.
Gottschalg, Ralph
Infield, David
de Moor, H.
van der Borg, N.
Burgess, A.R.
Friesen, Gabi
Chianese, D.
Guerin de Montgareuil, Antoine
Zdanowicz, T.
Stellbogen, D.
Herrmann, W.
Issue Date: 2006
Publisher: © IEEE
Citation: WILLIAMS, S.R. ... et al, 2006. Accuracy of energy prediction methodologies. IN: Conference Record of the 4th IEEE World Conference on Photovoltaic Energy Conversion 2006, Vol.2, Hawaii, USA, 7th-12th May, pp. 2206-2209.
Abstract: In the current market, the specific annual energy yield (kWh/kWp) of a PV system is gaining in importance due to its direct link to the financial returns for possible investors who typically demand an accuracy of 5% in this prediction. This paper focuses on the energy prediction of photovoltaic modules themselves, as there have been significant advances achieved with module technologies which affect the device physics in a way that might force the revisiting of device modelling. The paper reports the results of a round robin based evaluation of European modelling methodologies. The results indicate that the error in predicting energy yield for the same module at different locations was within 5% for most of the methodologies. However, this error increased significantly if the nominal nameplate rating is used in the characterization stage. For similar modules at the same location the uncertainties were much larger due to module-module variations.
Description: This conference paper [© IEEE] is also available at: http://dx.doi.org/10.1109/WCPEC.2006.279946. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/WCPEC.2006.279946
URI: https://dspace.lboro.ac.uk/2134/8204
Publisher Link: http://dx.doi.org/10.1109/WCPEC.2006.279946
ISBN: 1424400163
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)
Conference Papers and Contributions (CREST)

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