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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/11857

Title: Uncertainty analysis of photovoltaic energy yield prediction
Authors: Goss, Brian
Gottschalg, Ralph
Betts, Thomas R.
Issue Date: 2012
Publisher: The Solar Energy Society
Citation: GOSS, B., GOTTSCHALG, R. and BETTS, T.R., 2012. Uncertainty analysis of photovoltaic energy yield prediction. 8th Photovoltaic Science Application and Technology (PVSAT-8) Conference and Exhibition, Newcastle, England, 2nd-4th April 2012, pp.157-160.
Abstract: Developers of photo-voltaic (PV) systems need better information about the uncertainties in energy yield predictions, since the uncertainty in the return on investment is a financial risk which the financier will deflect back to the developer in higher cost of finance, thereby adding to the project life-cycle costs. Therefore better understanding of PV modelling uncertainty is needed to inform development of more accurate measurement and modelling. This paper reviews the uncertainty of all input parameters used for the CREST PV energy yield model. More detailed tolerance data in PV module datasheets is proposed, in addition to a more accurate ohmic and fault loss analysis of the AC (alternating current) sub-system using a simple classification of utility connection type.
Description: Conference paper and poster.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/11857
Publisher Link: http://www.pvsat.org.uk/
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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File Description SizeFormat
GOSS-CREST_PVSAT8_2012_Review_PV_Model_Parameter_Uncertainty_PAPER STATUS= FINAL+amndmnts 20120401.pdfPaper - Accepted version139.31 kBAdobe PDFView/Open
20120314 BG-CREST PVSAT8 2012 Poster V1-1 1st FINAL.pdfPoster - Accepted version603.58 kBAdobe PDFView/Open


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