Evaluating Building Integrated Photovoltaic Performance Models.
Evaluating Building Integrated Photovoltaic Performance
Models.
(221 K)
Fanney, A. H.; Dougherty, B. P.; Davis, M. W.
IEEE Photovoltaic Specialists Conference (PVSC), 29th.
Proceedings. May 20-24, 2002, New Orleans, LA, 1-4 pp,
2002.
Keywords:
building integrated; mono-crystalline; photovoltaic;
polycrystalline; predictive performance tools; silicon
film; test bed
Abstract:
Predictive performance tools could accelerate the
implementation of building integrated photovoltaic
(BIPV). The National Institute of Standards and
Technology (NIST) seeks to improve and validate
previously developed computer simulation tools with
experimental data collected in a building integrated
photovoltaic "test bed." Twelve months of performance
data has been collected for BIPV panels using four
different cell technologies: crystalline,
polycrystalline, silicon film, and triple-junction
amorphous. Two panels using each cell technology were
present, one without any insulation attached to its rear
surface and one with insulation attached to its rear
surface. Two predictive performance tools were
investigated: IV Curve Tracer, a photovoltaic model
developed by Sandia National Laboratories (SNL), and
PHANTASM, a BIPV predictive tool developed by the Solar
Energy Laboratory at the University of Wisconsin. The
performance data associated with the eight panels in the
BIPV "test bed", along with meteorological data, was
compared to the predictions of the SNL and PHANTASM
models.
