Uncertainty Analysis for Maximum Power at SRC Using Hierarchical Monte Carlo Simulation

被引:0
作者
Campanelli, Mark [1 ]
Emery, Keith [1 ]
Elmore, Ryan [1 ]
Zaharatos, Brian [2 ]
机构
[1] Natl Renewable Energy Lab, Golden, CO 80401 USA
[2] Colorado Sch Mines, Golden, CO 80401 USA
来源
2014 IEEE 40TH PHOTOVOLTAIC SPECIALIST CONFERENCE (PVSC) | 2014年
关键词
calibration; hierarchical modeling; maximum power; measurement uncertainty; Monte Carlo simulation; noise; uncertainty analysis;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
We present an uncertainty analysis (UA) for the maximum power of photovoltaic devices at standard reporting conditions, denoted P-max0. The UA employs a hierarchical Monte Carlo (MC) simulation to sample from the state-of-knowledge probability distribution for P-max0, based upon an irradiance and spectrally corrected current-voltage curve measured (nominally) at 1-sun according to ASTM E948-09 or E1036-12. A conditional factoring of the joint distribution of the parameters that determine P-max0 allows rigorous consideration of both systematic (e.g., calibration chain) and random (e.g., solar simulator noise) sources of uncertainty in P-max0. The corresponding hierarchical MC simulation is computationally efficient and parallelizable, allowing enough samples to control MC sampling error. The UA method complies with the Guide to the Expression of Uncertainty in Measurement.
引用
收藏
页码:3670 / 3675
页数:6
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