Paper
20 August 2009 Daily spectral effects on concentrating PV solar cells as affected by realistic aerosol optical depth and other atmospheric conditions
Author Affiliations +
Abstract
This contribution addresses the need for more information about the spectral effect affecting solar cells specifically designed for concentrating photovoltaic (CPV) applications. Spectral effects result from differences between the actual (dynamically variable) solar spectrum incident on a solar cell in the field and the standard (fixed) solar spectrum used for rating purposes. A methodology is proposed to quantify this spectral effect at any site where basic atmospheric information exists, and predict what semiconductor material(s) may benefit from operating under non-standard conditions. Using the same SMARTS radiative code as for the development of the improved reference spectrum for concentrating PV rating, an analysis of the spectral sensitivity of five specific PV technologies to varying atmospheric factors is presented, using simulated spectra at 5-nm resolution. (The alternative of using the average photon energy (APE) concept was also considered, but proved inappropriate in the present context.) The technologies investigated here include a 21.5%-efficient CIGS cell, a 22%-efficient crystalline silicon cell (both appropriate for low-concentration applications), as well as three high-performance multijunction cells, which are specifically designed for high-concentration applications. To the difference of most previous studies, the approach taken here considers realistic atmospheric conditions. The proposed Daily Spectral Enhancement Factor (DSEF) is obtained from a typical daily-average incident spectrum, which is purposefully weighted to minimize the incidence of large spectral effects at low sun. Calculations of DSEF are performed here at fifteen world sites from an atmospheric monitoring network. These sites have largely different latitudes and climates, and yet are all potentially interesting for CPV applications. Results are obtained for a typical clear day of January and July, and for each of the five PV technologies just mentioned. This analysis provides a preliminary quantitative assessment of how local atmospheric conditions interact with the spectral response of different CPV technologies. Most importantly, it is shown that the effect of aerosol optical depth (AOD, also referred to as atmospheric turbidity) has the largest impact on both the average direct normal irradiance (DNI) during a given month and the cell's DSEF. It is found that DSEF can be as low as 0.993 under clean conditions (low AOD), and as high as 1.215 under hazy conditions (high AOD). Under most conditions, all simulated solar cells perform significantly better than under rating conditions due to the spectral effect alone. There is no important difference in DSEF from cell to cell, except in one instance of very high AOD. The methodology and results proposed here constitute a step towards a better performance prediction of CPV systems, by assessing the variable spectral effect more accurately. It is anticipated that a more detailed simulation, which would also model temperature effects, as well as current-limiting effects in multijunction cells, would indicate even larger DSEF values than found here. Accurate aerosol data with higher spatial resolution in the "sun belt" than what exists today would also be desirable for the development of CPV applications.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christian A. Gueymard "Daily spectral effects on concentrating PV solar cells as affected by realistic aerosol optical depth and other atmospheric conditions", Proc. SPIE 7410, Optical Modeling and Measurements for Solar Energy Systems III, 741007 (20 August 2009); https://doi.org/10.1117/12.826071
Lens.org Logo
CITATIONS
Cited by 30 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Solar cells

Aerosols

Brain-machine interfaces

Atmospheric modeling

Atmospheric optics

Atmospheric particles

Photovoltaics

Back to Top