DocumentCode :
122170
Title :
Determining uncertainty for I–V translation equations
Author :
Duck, Benjamin C. ; Fell, C.J. ; Campanelli, Mark ; Zaharatos, Brian ; Marion, B. ; Emery, Keith
Author_Institution :
Energy Technol., CSIRO, Newcastle, NSW, Australia
fYear :
2014
fDate :
8-13 June 2014
Abstract :
Photovoltaic energy yield predictions rely on methods that estimate outdoor performance under arbitrary conditions based on a set of reference measurements. The uncertainty in these predictions has direct economic impacts on both the perceived feasibility of new systems and the energy market value. A common approach uses a set of translation equations such as those proposed in IEC 60891. Previous work examining the performance of the standard translation methods has not addressed the important issue of uncertainty. This is due to both a lack of comprehensive test data, and the scope of the problem resulting from flexibility in the way these methods can be applied. We used synthetic data to characterize the behavior of these standard translation methods in the presence of input uncertainty. The inputs and their uncertainty can then be mapped to the prediction uncertainty over a wide range of conditions.
Keywords :
IEC standards; photovoltaic power systems; power markets; I-V translation equations; IEC 60891; energy market value; photovoltaic energy yield prediction; photovoltaic power systems; standard translation methods; Measurement uncertainty; accuracy; energy measurement; photovoltaic effects; prediction algorithms; standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
Conference_Location :
Denver, CO
Type :
conf
DOI :
10.1109/PVSC.2014.6925518
Filename :
6925518
Link To Document :
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