Development of a System Measuring the Solar Radiation Spectrum in 5 Planes for Daylight and PV Applications

Abstract Solar energy is abundant and capable of providing much of our energy needs. It has several uses: photovoltaic, biomass (wood energy, biogas, biofuel), daylighting. For each use, its potential depends on the match between the spectral response of the collector (silicon, retina photoreceptors.) and the local solar spectrum. Increasing the performance of solar technologies by making the most of its spectrum (sun plus sky), requires a better understanding of its long term variations. Radiative Transfer Models (RTMs) could be used to produce routinely the spectral irradiance received in the plane of a solar collector and build this climatology, anywhere on earth. The accuracy of RTMs depends on how well daily atmospheric constituents are known at the site. This information is becoming available from satellite data. Spectral measurements are needed to validate the use of RTMs with satellite derived atmospheric information. Since 1992, ENTPE has been maintaining in Lyon, France, a measuring station specialized in daylight ( http://idmp.entpe.fr/vaulx/mesfr.htm ). This station is part of the IDMP network of the CIE (International Commission of Illumination). In 2012, we have decided to add continuous spectral measurements to our station. We chose to measure the spectral irradiance in 5 planes useful for daylight and photovoltaic applications: 1 direct (perpendicular to the sun), 4 global (horizontal, vertical north, vertical east, south inclined at 45°). We decided to use 5 spectrometers (Ocean Optics USB 650/4000) coupled to optical fibers fitted with diffusers. This paper describes the measurement system, the calibration of its components, the error characterization related to the sun tracker, the optical fibers and the spectrometers. It also provides an outline of the automatic quality control which takes full benefit of the other measurements of the station (global illuminance on horizontal and vertical planes, direct normal irradiance). These measurements will be used (1) to validate atmospheric information from satellites as well as RTMs, (2) to produce long term variations of the solar spectrum in Lyon, France.

[1]  Efficient computation of radiances for optically thin media by Padé approximants , 2010 .

[2]  R. Kuhlemann,et al.  Rethinking satellite-based solar irradiance modelling: The SOLIS clear-sky module , 2004 .

[3]  A. Kokhanovsky,et al.  SCIATRAN 2.0 – A new radiative transfer model for geophysical applications in the 175–2400 nm spectral region , 2004 .

[4]  A. Aberle Thin-film solar cells , 2009 .

[5]  María P. Utrillas,et al.  Design of a sun tracker for the automatic measurement of spectral irradiance and construction of an irradiance database in the 330–1100nm range , 2007 .

[6]  D. Myers Estimates of uncertainty for measured spectra in the SERI spectral solar radiation data base , 1989 .

[7]  Cyril Chain Caractérisation spectrale et directionnelle de la lumière naturelle : application à l'éclairage des bâtiments , 2004 .

[8]  Shepard A. Clough,et al.  Atmospheric radiative transfer modeling: a summary of the AER codes , 2005 .

[9]  C. Whitaker,et al.  Spectral solar radiation data base at SERI , 1989 .

[10]  K. Evans The Spherical Harmonics Discrete Ordinate Method for Three-Dimensional Atmospheric Radiative Transfer , 1998 .

[11]  M. Narayan,et al.  Review: Dye sensitized solar cells based on natural photosensitizers , 2011 .

[12]  C. Gueymard Parameterized transmittance model for direct beam and circumsolar spectral irradiance , 2001 .

[13]  Catherine Gautier,et al.  SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere. , 1998 .

[14]  Bernhard Mayer,et al.  Atmospheric Chemistry and Physics Technical Note: the Libradtran Software Package for Radiative Transfer Calculations – Description and Examples of Use , 2022 .

[15]  D. Manoharan,et al.  Hybrid solar cell based on blending of organic and inorganic materials—An overview , 2011 .

[16]  P. R. Tregenza,et al.  Guide to recommended practice of daylight measurement , 1994 .

[17]  L. Wald,et al.  Using MACC-derived products to predict clear-sky irradiance at surface , 2012 .