DocumentCode
86737
Title
Spectrum Sensitivity, Energy Yield, and Revenue Prediction of PV Modules
Author
Kinsey, Geoffrey S.
Author_Institution
Zuva Energy Consulting, Boston, MA, USA
Volume
5
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
258
Lastpage
262
Abstract
Predictive performance comparison has been made for four types of photovoltaics (PV) modules: cadmium telluride, multicrystalline silicon, copper indium gallium selenide, and monocrystalline silicon. Representative spectral response and nameplate specifications were used to determine the performance under operating conditions in Albuquerque, NM, USA. Hour-by-hour spectra were derived via archived meteorological data. Use of this modeled spectra enables sensitivity analysis of the energy yield and revenue potential of competing PV module types and determination of new target spectra for future design optimization.
Keywords
II-VI semiconductors; cadmium compounds; copper compounds; elemental semiconductors; gallium compounds; indium compounds; silicon; solar cells; ternary semiconductors; CdTe; Cu(InGa)Se2; PV modules; Si; archived meteorological data; cadmium telluride; copper indium gallium selenide; design optimization; energy yield; monocrystalline silicon; multicrystalline silicon; nameplate specification; photovoltaic modules; revenue potential; revenue prediction; sensitivity analysis; spectral response; spectrum sensitivity; Atmospheric modeling; Databases; Electricity; Photovoltaic cells; Photovoltaic systems; Sensitivity; Energy prediction; energy yield; spectral irradiance; spectral response;
fLanguage
English
Journal_Title
Photovoltaics, IEEE Journal of
Publisher
ieee
ISSN
2156-3381
Type
jour
DOI
10.1109/JPHOTOV.2014.2370256
Filename
6981930
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