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Research Papers

Filtering Procedures for Reliable Outdoor Temperature Coefficients in Different Photovoltaic Technologies

[+] Author and Article Information
David Moser

Institute for Renewable Energy,
EURAC Research,
Viale Druso 1,
Bolzano 31900, Italy
e-mail: david.moser@eurac.edu

Miglena Nikolaeva-Dimitrova

Institute for Renewable Energy,
EURAC Research,
Viale Druso 1,
Bolzano 31900, Italy

Contributed by the Solar Energy Division of ASME for publication in the Journal of Solar Energy Engineering. Manuscript received January 8, 2013; final manuscript received June 3, 2013; published online August 21, 2013. Assoc. Editor: Santiago Silvestre.

J. Sol. Energy Eng 136(2), 021006 (Aug 21, 2013) (10 pages) Paper No: SOL-13-1010; doi: 10.1115/1.4024931 History: Received January 08, 2013; Revised June 03, 2013

Power temperature coefficients δ (TCo) measured indoor at standard test conditions (STC) (as given on products datasheet) always present a negative sign; an increase in temperature leads to a reduced power output. Interestingly, the magnitude of the TCo is not always confirmed outdoor with significant differences between technologies with even change in signs in some cases (e.g., a-Si). It is important to investigate if the reported outdoor behavior is a true effect or if it is the result of a choice of nonhomogeneous sets of data (e.g., either irradiance sensor or modules shaded). In this work, the importance of filtering procedures is discussed in order to work with a reliable set of data and to establish a method that allows comparison with indoor data.

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References

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Figures

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Fig. 1

Image of the ABD-plant with a look over the experimental field

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Fig. 2

10 representative days with different turbidity t: global tilted irradiance in green/dotted line (high irradiance), diffuse irradiance in red/dashed line (low irradiance)

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Fig. 3

The performance ratio at a 15 min interval PR15min of 4 different technologies: single junction a-Si (1j-a-Si), micromorph (a-Si/μc-Si), CIGS and mc-Si-with the average PR15min (blue/middle line), and the range for the filtering method (indicated by the two green lines/top and bottom lines). On the x axes 3 = Mar. 2011 and 15 = Mar. 2012.

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Fig. 4

Effects of wind speed on the measured temperature at constant irradiance

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Fig. 5

The influence of AM on the current Impp without filtering by turbidity t and performance ratio at a 15 min interval PR15min (left column), filtering by t (central column) and filtering by t and PR15min (right column). Single junction a-Si in the first row, a-Si/μc-Si in the second row and pc-Si in the third row. Data are shown for three irradiance levels: 900 W/m2 (square points), 650 W/m2 (circle points), and 400 W/m2 (starred points).

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Fig. 6

Performance matrix for a pc-Si module before and after filtering

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Fig. 7

Power temperature coefficients before (green, filled squares) and after filtering (red, empty squares) (vwind < 2 m/s,t < 0.25,PR¯15min ± σPR15min, not sorted by AM)

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Fig. 8

AM correction for single junction a-Si. Figures on the left hand side show, from top to bottom, Impp versus AM, Impp versus T, and Pmpp versus T (data points after filtering). Figures on the right hand side show the corresponding plots after AM correction.

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Fig. 9

AM correction CdTe. Figures on the left hand sides show, from top to bottom, Impp versus AM, Impp versus T, and Pmpp versus T (data points after filtering). Figures on the right hand side show the corresponding plots after AM correction.

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