The “five-parameter model” is a performance model for photovoltaic solar cells that predicts the voltage and current output by representing the cells as an equivalent electrical circuit with radiation and temperature-dependent components. An important feature of the five-parameter model is that its parameters can be determined using data commonly provided by module manufacturers on their published datasheets. This paper documents the predictive capability of the five-parameter model and proposes modifications to improve its performance using approximately 30 days of field-measured meteorological and module data from a wide range of cell technologies, including monocrystalline, polycrystalline, amorphous silicon, and copper indium diselenide (CIS). The standard five-parameter model is capable of predicting the performance of monocrystalline and polycrystalline silicon modules within approximately 6% RMS but is slightly less accurate for a thin-film CIS and an amorphous silicon array. Errors for the amorphous technology are reduced to approximately 5% RMS by using input data obtained after the module underwent an initial degradation in output due to aging. The robustness and possible improvements to the five-parameter model were also evaluated. A sensitivity analysis of the five-parameter model shows that all model inputs that are difficult to determine and not provided by manufacturer datasheets such as the glazing material properties, the semiconductor band gap energy, and the ground reflectance may be represented by approximate values independent of the PV technology. Modifications to the five-parameter model tested during this research did not appreciably improve the overall model performance. Additional dependence introduced by a seven-parameter model had a less than 1% RMS effect on maximum power predictions for the amorphous technology and increased the modeling errors for this array 4% RMS at open-circuit conditions. Adding a current sink to the equivalent circuit to better model recombination currents had little effect on the model behavior.
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Research Papers
Evaluation and Validation of Equivalent Circuit Photovoltaic Solar Cell Performance Models
Matthew T. Boyd,
Matthew T. Boyd
Solar Energy Laboratory,
University of Wisconsin-Madison
, 1500 Engineering Drive, Madison, WI 53706
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Sanford A. Klein,
Sanford A. Klein
Solar Energy Laboratory,
e-mail: klein@engr.wisc.edu
University of Wisconsin-Madison
, 1500 Engineering Drive, Madison, WI 53706
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Douglas T. Reindl,
Douglas T. Reindl
Solar Energy Laboratory,
University of Wisconsin-Madison
, 1500 Engineering Drive, Madison, WI 53706
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Brian P. Dougherty
Brian P. Dougherty
National Institute of Standards and Technology
, 100 Bureau Drive, Gaithersburg, MD 20899
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Matthew T. Boyd
Solar Energy Laboratory,
University of Wisconsin-Madison
, 1500 Engineering Drive, Madison, WI 53706
Sanford A. Klein
Solar Energy Laboratory,
University of Wisconsin-Madison
, 1500 Engineering Drive, Madison, WI 53706e-mail: klein@engr.wisc.edu
Douglas T. Reindl
Solar Energy Laboratory,
University of Wisconsin-Madison
, 1500 Engineering Drive, Madison, WI 53706
Brian P. Dougherty
National Institute of Standards and Technology
, 100 Bureau Drive, Gaithersburg, MD 20899J. Sol. Energy Eng. May 2011, 133(2): 021005 (13 pages)
Published Online: March 22, 2011
Article history
Received:
February 17, 2010
Revised:
June 23, 2010
Online:
March 22, 2011
Published:
March 22, 2011
Citation
Boyd, M. T., Klein, S. A., Reindl, D. T., and Dougherty, B. P. (March 22, 2011). "Evaluation and Validation of Equivalent Circuit Photovoltaic Solar Cell Performance Models." ASME. J. Sol. Energy Eng. May 2011; 133(2): 021005. https://doi.org/10.1115/1.4003584
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