JiangPVSAT2009.pdf (559.44 kB)
Outlier identification in outdoor measurement data - effects of different strategies on the performance descriptors of photovoltaic modules
conference contribution
posted on 2009-08-25, 11:53 authored by Jiang Zhu, Thomas R. Betts, Ralph GottschalgOutdoor measurement campaigns of PV module
performance are normally affected by a relatively
large number of outliers. The aim of this paper is
to develop a statistically sound approach of
obtaining a dataset that allows one to analyse
continuously monitored devices. This paper uses
ISC as a self-reference parameter to measure the
incident irradiance on the module, which largely
reduces the error due to spectral and angular
effects. The outlier identification procedure is
based on statistical distribution analysis of
different performance descriptors and it assures
0.99 confidence level and the same skewness for
the remaining data. This approach can be applied
to whole datasets as well as for data in specific
irradiance-temperature bins. The developed
methodology will be used to analyze outdoor data
from different devices at different locations with
reduced uncertainty.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Research Unit
- Centre for Renewable Energy Systems Technology (CREST)
Citation
ZHU, J., BETTS, T.R. and GOTTSCHALG, R., 2009. Outlier identification in outdoor measurement data - effects of different strategies on the performance descriptors of photovoltaic modules. 5th Photovoltaic Science Application and Technology (PVSAT-5) Conference and Exhibition, 1-3 April 2009, Glyndŵr University, Wrexham.Publisher
PVSAT / © The authorsPublication date
2009Notes
This conference paper was presented at PVSAT-5: http://www.pvsat.org.uk/.Language
- en
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