scholarly journals An Evaluation of the Spectral Irradiance Data from the NSRDB

2021 ◽  
Author(s):  
Yu Xie ◽  
Aron Habte ◽  
Manajit Sengupta ◽  
Frank Vignola
Keyword(s):  
Spectral Irradiance ◽  
Irradiance Data

scholarly journals Creation of the GSFCSSI2 Composite Solar Spectral Irradiance Data Set

2019 ◽  
Vol 6 (7) ◽  
pp. 1284-1298 ◽  
Author(s):  
Matthew T. DeLand ◽  
Linton E. Floyd ◽  
Sergey Marchenko ◽  
Ramaswamy Tiruchirapalli
Keyword(s):  
Spectral Irradiance ◽  
Data Set ◽  
Solar Spectral Irradiance ◽  
Irradiance Data

Theoretical energy yield of GaAs-on-Si tandem solar cells

2014 ◽  
Vol 1638 ◽  
Author(s):  
Haohui Liu ◽  
Zekun Ren ◽  
Zhe Liu ◽  
Riley E. Brandt ◽  
Jonathan P. Mailoa ◽  
...  
Keyword(s):  
Solar Cells ◽  
Theoretical Study ◽  
Technology Development ◽  
Spectral Irradiance ◽  
Yield Potential ◽  
Energy Yield ◽  
Performance Potential ◽  
Tandem Solar Cells ◽  
Multijunction Solar Cells ◽  
Irradiance Data

ABSTRACTIII-V on Si multijunction solar cells represent an alternative to traditional compound III-V multijunction cells as a promising way to achieve high efficiencies. A theoretical study on the energy yield of GaAs/Si tandem solar cells is performed to assess the performance potential and sensitivity to spectral variations. Recorded time-dependent spectral irradiance data in two locations (Singapore and Denver) were used. We found that a 4-terminal contact scheme with thick top cell confers distinctive advantages over a 2-terminal scheme, giving a yield potential 21% higher than the 2-terminal scheme in Singapore and 17% higher in Denver. The theoretical energy yield benefit of a 4-terminal device emphasizes the need for further technology development in this design space.

scholarly journals Monte Carlo method for determining uncertainty of total ozone derived from direct solar irradiance spectra: Application to Izaña results

2018 ◽  
Author(s):  
Anna Vaskuri ◽  
Petri Kärhä ◽  
Luca Egli ◽  
Julian Gröbner ◽  
Erkki Ikonen
Keyword(s):  
Monte Carlo ◽  
Total Ozone ◽  
Monte Carlo Model ◽  
Spectral Irradiance ◽  
Total Column Ozone ◽  
Solar Spectral Irradiance ◽  
Irradiance Data ◽  
Column Ozone ◽  
Ozone Column ◽  
Total Column

Abstract. We demonstrate a Monte Carlo model to calculate the uncertainties of total ozone column, TOC, derived from ground-based directional solar spectral irradiance measurements. The model takes into account effects that correlations in the spectral irradiance data may have on the results. The model is tested with spectral data measured with three different spectroradiometers at an intercomparison campaign of the research project Traceability for atmospheric total column ozone at Izaña, Tenerife on 17 September 2016. The TOC values derived at noon have expanded uncertainties of 1.3 % for a high-end scanning spectroradiometer, 1.3 % for a high-end array spectroradiometer, and 3.3 % for a roughly adopted instrument based on commercially available components and an array spectroradiometer. The level of TOC measured with reference Brewer spectrophotometer #183 is of the order of 282 DU during the analysed day and in agreement with the results of the two former instruments.

Effect of correlations in fitting spectral irradiance data

Metrologia ◽  
2004 ◽  
Vol 41 (4) ◽  
pp. 246-250 ◽  
Author(s):  
S Nevas ◽  
E Ikonen ◽  
P Kärhä ◽  
T Kübarsepp
Keyword(s):  
Spectral Irradiance ◽  
Irradiance Data

Solar infrared radiation towards building energy efficiency: measurement, data, and modeling

2020 ◽  
Vol 28 (4) ◽  
pp. 457-465
Author(s):  
Yuhui Song ◽  
Qiuhua Duan ◽  
Yanxiao Feng ◽  
Enhe Zhang ◽  
Julian Wang ◽  
...  
Keyword(s):  
Solar Irradiance ◽  
Infrared Radiation ◽  
Measurement Data ◽  
Building Energy ◽  
Energy Performance ◽  
Spectral Irradiance ◽  
Solar Irradiation ◽  
Solar Spectral Irradiance ◽  
Modeling Techniques ◽  
Irradiance Data

With the recent discoveries and engineering solutions emerging in nanomaterials and nanostructures, independent band modulation of solar radiation on building envelopes, including glazing systems, has become increasingly viable as a potential means of improving building energy savings and indoor visual comfort. However, when it comes to the prediction of these new materials’ potential energy performance in buildings, most studies utilize a simple solar irradiance (e.g., global horizontal solar irradiance, direct beam solar irradiance) or a rough estimation of solar infrared (e.g., 50% solar irradiance) as input, which may cause significant errors. Consequently, there is a pressing need for reliable performance estimations of the solar infrared control and response at the building’s scale. To assess this, we need a solar spectral irradiance model, or at least a wideband (visible or infrared) solar irradiance model, as input. To develop this new type of model, one needs to understand the modeling-related key elements, including available solar spectral irradiance datasets, data collection methods, and modeling techniques. As such, this paper reviews the current major measurement methods and tools used in collecting solar spectral irradiance data with a focus on the solar infrared region, identifies the available related resources and datasets that particularly encompass the solar spectral irradiance data with a sufficient wavelength range, and studies existing solar irradiation modeling techniques for building simulations. These investigations will then form the background and backbone for a study scheme of solar infrared radiation modeling and indicate future research paths and opportunities.

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