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    Evaluation and Validation of Equivalent Circuit Photovoltaic Solar Cell Performance Models

    Source: Journal of Solar Energy Engineering:;2011:;volume( 133 ):;issue: 002::page 21005
    Author:
    Matthew T. Boyd
    ,
    Brian P. Dougherty
    ,
    Sanford A. Klein
    ,
    Douglas T. Reindl
    DOI: 10.1115/1.4003584
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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.
    keyword(s): Temperature , Radiation (Physics) , Modeling , Circuits , Errors , Solar cells , Silicon , Sound transmission class , Electric potential , Sensitivity analysis AND Measurement ,
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      Evaluation and Validation of Equivalent Circuit Photovoltaic Solar Cell Performance Models

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    http://yetl.yabesh.ir/yetl1/handle/yetl/147579
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    contributor authorMatthew T. Boyd
    contributor authorBrian P. Dougherty
    contributor authorSanford A. Klein
    contributor authorDouglas T. Reindl
    date accessioned2017-05-09T00:46:51Z
    date available2017-05-09T00:46:51Z
    date copyrightMay, 2011
    date issued2011
    identifier issn0199-6231
    identifier otherJSEEDO-28440#021005_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/147579
    description abstractThe “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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEvaluation and Validation of Equivalent Circuit Photovoltaic Solar Cell Performance Models
    typeJournal Paper
    journal volume133
    journal issue2
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.4003584
    journal fristpage21005
    identifier eissn1528-8986
    keywordsTemperature
    keywordsRadiation (Physics)
    keywordsModeling
    keywordsCircuits
    keywordsErrors
    keywordsSolar cells
    keywordsSilicon
    keywordsSound transmission class
    keywordsElectric potential
    keywordsSensitivity analysis AND Measurement
    treeJournal of Solar Energy Engineering:;2011:;volume( 133 ):;issue: 002
    contenttypeFulltext
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