Developing a spectroradiometer data uncertainty methodology. (June 2017)
- Record Type:
- Journal Article
- Title:
- Developing a spectroradiometer data uncertainty methodology. (June 2017)
- Main Title:
- Developing a spectroradiometer data uncertainty methodology
- Authors:
- Peterson, Josh
Vignola, Frank
Habte, Aron
Sengupta, Manajit - Abstract:
- Highlights: A methodology for computing the uncertainty for a spectroradiometer is presented. The methodology is consistent with the GUM model for calculating the uncertainty. The cosine response of the instrument is included in the uncertainty calculation. The uncertainty of a LI-COR 1800 spectroradiometer is computed as an example. Abstract: The proper calibration and measurement uncertainty of spectral data obtained from spectroradiometers is essential in accurately quantifying the output of photovoltaic (PV) devices. PV cells and modules are initially characterized using solar simulators but field performance is evaluated using natural sunlight. Spectroradiometers are used to measure the spectrum of both these light sources in an effort to understand the spectral dependence of various PV output capabilities. These chains of characterization and measurement are traceable to National Metrology Institutes such as National Institute of Standards and Technology, and therefore there is a need for a comprehensive uncertainty methodology to determine the accuracy of spectroradiometer data. In this paper, the uncertainties associated with the responsivity of a spectroradiometer are examined using the Guide to the Expression of Uncertainty in Measurement (GUM) protocols. This is first done for a generic spectroradiometer, and then, to illustrate the methodology, the calibration of a LI-COR 1800 spectroradiometer is performed. The reader should be aware that the implementation ofHighlights: A methodology for computing the uncertainty for a spectroradiometer is presented. The methodology is consistent with the GUM model for calculating the uncertainty. The cosine response of the instrument is included in the uncertainty calculation. The uncertainty of a LI-COR 1800 spectroradiometer is computed as an example. Abstract: The proper calibration and measurement uncertainty of spectral data obtained from spectroradiometers is essential in accurately quantifying the output of photovoltaic (PV) devices. PV cells and modules are initially characterized using solar simulators but field performance is evaluated using natural sunlight. Spectroradiometers are used to measure the spectrum of both these light sources in an effort to understand the spectral dependence of various PV output capabilities. These chains of characterization and measurement are traceable to National Metrology Institutes such as National Institute of Standards and Technology, and therefore there is a need for a comprehensive uncertainty methodology to determine the accuracy of spectroradiometer data. In this paper, the uncertainties associated with the responsivity of a spectroradiometer are examined using the Guide to the Expression of Uncertainty in Measurement (GUM) protocols. This is first done for a generic spectroradiometer, and then, to illustrate the methodology, the calibration of a LI-COR 1800 spectroradiometer is performed. The reader should be aware that the implementation of this methodology will be specific to the spectroradiometer being analyzed and the experimental setup that is used. Depending of the characteristics of the spectroradiometer being evaluated additional sources of uncertainty may need to be included, but the general GUM methodology is the same. Several sources of uncertainty are associated with the spectroradiometer responsivity. Major sources of uncertainty associated with the LI-COR spectroradiometer are noise in the signal at wavelengths less than 400 nm. At wavelengths more than 400 nm, the responsivity can vary drastically, and it is dependent on the wavelength of light, the temperature dependence, the angle of incidence, and the azimuthal orientation of the sensor to the light source. The expanded uncertainties in the responsivity of the LI-COR spectroradiometer in the wavelength range of 400–1050 nm can range from 4% to 14% at the 95% confidence level. … (more)
- Is Part Of:
- Solar energy. Volume 149(2017)
- Journal:
- Solar energy
- Issue:
- Volume 149(2017)
- Issue Display:
- Volume 149, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 149
- Issue:
- 2017
- Issue Sort Value:
- 2017-0149-2017-0000
- Page Start:
- 60
- Page End:
- 76
- Publication Date:
- 2017-06
- Subjects:
- Spectroradiometer -- Uncertainty -- Cosine response -- LI-COR 1800
Solar energy -- Periodicals
Solar engines -- Periodicals
621.47 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0038092X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.solener.2017.03.075 ↗
- Languages:
- English
- ISSNs:
- 0038-092X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8327.200000
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- 2080.xml