Results of the Fifth International Spectroradiometer Comparison for Improved Solar Spectral Irradiance Measurements and Related Impact on Reference Solar Cell Calibration

Galleano, Roberto; Zaaiman, W.; Alonso‐Álvarez, Diego; Minuto, A.; Ferretti, N.; Fucci, R.; Pravettoni, Mauro; Halwachs, Martin; Friederichs, Matthias; Plag, F.; Friedrich, Dirk; Haverkamp, E.J.

doi:10.1109/jphotov.2016.2606698

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…These effects are often pronounced when using array spectrometers compared to grating monochromator systems. Recent intercomparisons of solar spectral irradiance measurements between different laboratories show deviations of the order of 10% [1][2][3], emphasizing the significance of deviations occuring during such measurements and the need for a thorough analysis of the measured data in order to facilitate a correct interpretation.…”

Section: Introductionmentioning

confidence: 99%

Calibrating spectrometers for measurements of the spectral irradiance caused by solar radiation

et al. 2020

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Measuring the spectral irradiance of solar radiation is required in many fields of science and technology. In this work, we present an in-depth discussion of the measuring procedure and required corrections for such measurements. We also describe our measurement uncertainty analysis, which is based on a Monte-Carlo procedure in accordance with the Guide to the expression of uncertainty in measurement (JCGM, Paris, 2008). For this purpose, fifteen uncertainty sources are identified, analyzed and described analytically. As a specific application example, we describe the instrumentation and procedure for determining the spectral irradiance of a solar simulator at the ISO/IEC 17 025 accredited solar cell calibration laboratory ISFH CalTeC and the corresponding measurement uncertainty analysis. Moreover, we provide a Python implementation for this calculation along with the paper. We show that for state-of-the-art instrumentation, significant uncertainty contributions arise from the reference lamp (primary calibration standard), stray light and signal-to-noise ratio. If sharp spectral features are present (which is common, e.g. for Xenon lamps), spectral bandwidth and wavelength uncertainty also contribute significantly to the overall uncertainty.

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Section: Introductionmentioning

confidence: 99%

Calibrating spectrometers for measurements of the spectral irradiance caused by solar radiation

et al. 2020

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“…In [83], discussed about the outcomes of the fifth spectral irradiance measurement inter comparison and the influence the outcomes have on the spread of spectral divergence controls in the outdoor characterization of reference solar cell and photovoltaic devices. Ten laboratories and marketable associates with their personal devices were involved in the comparison.…”

Section: Overview Of Economic Feasibility Of Microgrid Hybrid Energy mentioning

confidence: 99%

State of the Ability in Research on Microgrid Hybrid Energy Systems

Akhtar¹,

Kinmani²,

Jamil³

2019

JESTR

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The power demand with interest in green power has focused researcher to develop the distributed power generation using wind energy, solar energy, etc. With the fast depleting fossil fuel reserves, energy security and environmental concerns there is a huge requirement of alternate sources of energy to fulfill the present energy demand. Distribution generating system can support the weak grids, maintaining grid power, managing balance power and enhancing the power quality. Any research work base depends on the literature survey and the studies carried out by several kinds of research and their support to research field encourages for more scope of research. The important advantages related to microgrids have led to huge efforts to grow their dispersion in the power systems. While microgrid is fast growing but there are still various challenges to efficiently control, design, and operate microgrids when linked to the main grid, and also when in islanded mode, where wide research actions are ongoing to handle these issues. This paper presents a review of issues concerning integration of renewable energy sources to microgrids and offers a description of research in areas related to economic feasibility of microgrids system, including dynamic analysis of microgrid hybrid system in grid-connected mode, application of power electronics, microgrid operation, and control.

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“…For example, smarts.spectrum(HOUR=11) and smarts.spectrum(HOUR=17) will provide the spectrum of the SMART light source defined above calculated at 11h and at 17h, respectively; all additional parameters have the default values. This method has been used to model experimental solar irradiances measured by different spectroradiometers based on the local atmospheric conditions [39].…”

Section: Light Sourcesmentioning

confidence: 99%

Solcore: a multi-scale, Python-based library for modelling solar cells and semiconductor materials

et al. 2018

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Computational models can provide significant insight into the operation mechanisms and deficiencies of photovoltaic solar cells. Solcore is a modular set of computational tools, written in Python 3, for the design and simulation of photovoltaic solar cells. Calculations can be performed on ideal, thermodynamic limiting behaviour, through to fitting experimentally accessible parameters such as dark and light IV curves and luminescence. Uniquely, it combines a complete

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Results of the Fifth International Spectroradiometer Comparison for Improved Solar Spectral Irradiance Measurements and Related Impact on Reference Solar Cell Calibration

Cited by 13 publications

References 6 publications

Calibrating spectrometers for measurements of the spectral irradiance caused by solar radiation

Calibrating spectrometers for measurements of the spectral irradiance caused by solar radiation

State of the Ability in Research on Microgrid Hybrid Energy Systems

Solcore: a multi-scale, Python-based library for modelling solar cells and semiconductor materials

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