Photovoltaic module calibration value versus optical air mass: the air mass function
ABSTRACT So‐called “air mass functions” of photovoltaic modules are used to approximate the effects of spectral responsivity and to correct short‐circuit current to or from a reference condition. These empirical functions are determined from outdoor measurements with test modules mounted on two‐axis...
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Veröffentlicht in: | Progress in Photovoltaics: Research and Applications 2014-05, Vol.22 (5), p.560-573 |
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Sprache: | eng |
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So‐called “air mass functions” of photovoltaic modules are used to approximate the effects of spectral responsivity and to correct short‐circuit current to or from a reference condition. These empirical functions are determined from outdoor measurements with test modules mounted on two‐axis solar trackers and then calculated from plots of normalized calibration value (short‐circuit current divided by total irradiance) versus optical air mass. Because they are incorporated into a number of photovoltaic system modeling and sizing software programs, the accuracy of the functions has direct implications for system costs. We discuss the assumptions associated with these functions that are generally not considered or ignored, and study their variability with respect to atmospheric constituents. The variability study included a 6‐month outdoor measurement on a crystalline‐Si module and a software simulation of the same module using a solar spectral irradiance model. We conclude that air mass functions depend on the measurement location and time, and therefore are not unique to a particular device. Also, using these functions introduces two distinct errors, the magnitudes of which are unknown without knowledge of spectral irradiance conditions. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.
Empirical polynomial expressions of module short‐circuit current over total irradiance versus absolute optical air mass are known as “air mass functions”, and are used to approximate the effects of spectral responsivity in several photovoltaic system performance models. From 6 months of outdoor data and a spectral sensitivity model, this paper demonstrates that such functions are not fundamental properties of modules because they vary with time and location. Thus, these functions can actually increase error in system performance modeling. |
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ISSN: | 1062-7995 1099-159X |
DOI: | 10.1002/pip.2303 |