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==Source==
==Source==


* Rob W. Andrews and Joshua M. Pearce, [http://dx.doi.org/10.1016/j.solener.2013.01.030 The effect of spectral albedo on amorphous silicon and crystalline silicon solar photovoltaic device performance], ''Solar Energy'', '''91''',233–241 (2013). DOI:10.1016/j.solener.2013.01.030 [open access - soon]
* Rob W. Andrews and Joshua M. Pearce, [http://dx.doi.org/10.1016/j.solener.2013.01.030 The effect of spectral albedo on amorphous silicon and crystalline silicon solar photovoltaic device performance], ''Solar Energy'', '''91''',233–241 (2013). DOI:10.1016/j.solener.2013.01.030 [http://www.academia.edu/3081684/The_effect_of_spectral_albedo_on_amorphous_silicon_and_crystalline_silicon_solar_photovoltaic_device_performance open access]


==Abstract==
==Abstract==
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{{Gallery
{{Gallery
|title=Effects of spectral albedo
|title=Effects of spectral albedo on a-Si and c-Si PV
|width=180
|width=400
|height=135
|height=200
|padding=4
 
|align=center
|align=center
|File:grass-albedo.jpg|Grass albedo
|File:grass-albedo.jpg|Grass albedo
|File:snow-albedo.jpg|Snow albedo
|File:snow-albedo.jpg|Snow albedo
}}
}}


==See also==
==See also==
 
* [[Effects of spectral albedo on solar photovoltaic devices]]
* [[Solar resource measurement for PV applications]]
* [[Solar resource measurement for PV applications]]
* [[Atmospheric radiation transfer for PV applications]]
* [[Atmospheric radiation transfer for PV applications]]
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* [[Remote spectral prediction for PV applications]]
* [[Remote spectral prediction for PV applications]]
* [[SEARC spectral project]]
* [[SEARC spectral project]]
{{Solar navbox}}


[[Category:MOST completed projects and publications]]
[[Category:MOST completed projects and publications]]
[[Category:Photovoltaics]]
[[Category:Photovoltaics]]
[[category: QAS completed projects and publications]]
[[category: QAS completed projects and publications]]

Revision as of 13:35, 21 February 2014

Source

Abstract

Snow-vs-grass.png

In this paper the theory of mismatch factor of the terrestrial solar spectrum is extended to more accurately represent the irradiance available to specific types of photovoltaic (PV) materials from surface albedo. Using spectra derived from the SBDART radiative transfer model, the effects of a spectrally responsive albedo are illustrated by the differences between the spectrally weighted albedo of hydrogenated amorphous silicon (a-Si:H) and crystalline silicon (c-Si)-based PV technology compared to traditional spectral-integrated albedo predictions. In order to quantify this effect for varying representative spectra, spectra for cloud optical thicknesses from 0 to 150 were investigated. Grass was found to be a poor reflector in the a-Si:H spectral response range with a spectrally responsive albedo of 0.08–0.07 as cloud optical thickness increased from 0 to 150, whereas snow is a good reflector with a relatively constant spectrally responsive albedo of 0.94 as cloud optical thickness increased from 0 to 150. For c-Si PV systems the spectrally responsive albedo for snow and grass were found to be 0.87–0.91 and 0.24–0.15 as cloud optical thickness increased from 0 to 150, respectively. These values can be compared to the albedo typically predicted from spectral integration relative to an AM1.5 spectrum of 0.78 for snow and 0.23 for grass. On a yearly basis, the use of improper albedo values can lead to an under-prediction of system yields of 0.04%, 2.4%, and 10.5% for systems at 25°, 40°, and 90° tilt from the horizontal, respectively. This can lead to improper PV systems optimization and masking of other loss mechanisms. The results of this study have implications for both solar systems evaluation and systems design, and supports further research on tailoring PV technologies specifically to the climate and geographic location where they are deployed.

Findings

  • Theory of mismatch factor of terrestrial solar spectrum extended for surface albedo.
  • Effects of effective albedo on amorphous and crystalline silicon photovoltaics used.
  • New formulation for albedo spectral mismatch factor and spectral-weighted albedo.
  • Results help solar systems evaluation and systems design and geographic optimization.

See also


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