Effect of Spectral Irradiance Variations on the Performance of Highly Efficient Environment-Friendly Solar Cells

The increasing environmental concerns on photovoltaic (PV) materials have attracted much attention to environment-friendly materials for solar energy conversion. In this paper, the environment-friendly materials based on dye-sensitized solar cells (DSSC), CuZnSnSSe2 (CZTS), and CH3NH3SnI3 based on perovskite solar cells have been studied for their spectral dependence at selected different locations with varying parameters such as air mass, aerosol optical depth, and precipitable water. The spectral dependences of the materials have been obtained by the use of the spectral factor, and ground-based long-term climatologies in conjunction with the Simple Model of the Atmospheric Radiative Transfer of Sunshine have been used. Results show that the perovskite and DSSC solar cells show an important spectral dependence with annual spectral gains up to 3% and spectral losses up to -15%. On the other hand, CZTS solar cells show a low spectral dependence with annual spectral gains up to 2% and spectral losses up to -4%.

[1]  M. Grätzel,et al.  Sequential deposition as a route to high-performance perovskite-sensitized solar cells , 2013, Nature.

[2]  N. Park,et al.  Lead Iodide Perovskite Sensitized All-Solid-State Submicron Thin Film Mesoscopic Solar Cell with Efficiency Exceeding 9% , 2012, Scientific Reports.

[3]  Sundaram Senthilarasu,et al.  Recent progress and the status of dye-sensitised solar cell (DSSC) technology with state-of-the-art conversion efficiencies , 2013 .

[4]  Takashi Minemoto,et al.  Estimation of irradiance and outdoor performance of photovoltaic modules by meteorological data , 2011 .

[5]  W. Warta,et al.  Solar cell efficiency tables (version 36) , 2010 .

[6]  Voltage-dependent quantum efficiency measurements of amorphous silicon multi-junction mini-modules , 2011 .

[7]  J. A. Ruiz-Arias,et al.  Analysis of the spectral variations on the performance of high concentrator photovoltaic modules operating under different real climate conditions , 2014 .

[8]  H. Brindley,et al.  Impact of individual atmospheric parameters on CPV system power, energy yield and cost of energy , 2014 .

[9]  Thomas R. Betts,et al.  Effects of spectrum on the power rating of amorphous silicon photovoltaic devices , 2011 .

[10]  S. Kurtz,et al.  The influence of spectral solar irradiance variations on the performance of selected single-junction and multijunction solar cells , 1991 .

[11]  Wei Wang,et al.  Device Characteristics of CZTSSe Thin‐Film Solar Cells with 12.6% Efficiency , 2014 .

[12]  Robert P. H. Chang,et al.  Lead-free solid-state organic–inorganic halide perovskite solar cells , 2014, Nature Photonics.

[13]  R. Service,et al.  Energy technology. Perovskite solar cells keep on surging. , 2014, Science.

[14]  F. Almonacid,et al.  Effects of spectral coupling on perovskite solar cells under diverse climatic conditions , 2015 .

[15]  Michael Grätzel,et al.  Porphyrin-Sensitized Solar Cells with Cobalt (II/III)–Based Redox Electrolyte Exceed 12 Percent Efficiency , 2011, Science.

[16]  Kenji Otani,et al.  Effects of solar spectrum and module temperature on outdoor performance of photovoltaic modules in round‐robin measurements in Japan , 2011 .

[17]  J. Teuscher,et al.  Efficient Hybrid Solar Cells Based on Meso-Superstructured Organometal Halide Perovskites , 2012, Science.

[18]  F. Chenlo,et al.  Analysis of spectral effects on the energy yield of different PV (photovoltaic) technologies: The case of four specific sites , 2014 .

[19]  K. Edmondson,et al.  Spectral response and energy output of concentrator multijunction solar cells , 2009 .

[20]  G. Peharz,et al.  A simple method for quantifying spectral impacts on multi-junction solar cells , 2009 .

[21]  G. Peharz,et al.  Energy harvesting efficiency of III-V triple-junction concentrator solar cells under realistic spectral conditions , 2010 .

[22]  Kenji Yamamoto,et al.  Effect of spectral irradiance distribution on the outdoor performance of amorphous Si//thin-film crystalline Si stacked photovoltaic modules , 2007 .

[23]  G. Peharz,et al.  YieldOpt, a model to predict the power output and energy yield for concentrating photovoltaic modules , 2015 .

[24]  A. T. Young,et al.  Revised optical air mass tables and approximation formula. , 1989, Applied optics.

[25]  Carl R. Osterwald,et al.  Photovoltaic module calibration value versus optical air mass: the air mass function , 2014 .

[26]  M. Iqbal An introduction to solar radiation , 1983 .

[27]  Christian A. Gueymard,et al.  Generalized spectral performance evaluation of multijunction solar cells using a multicore, parallelized version of SMARTS , 2012 .

[28]  K. Araki,et al.  Validation of energy prediction method for a concentrator photovoltaic module in Toyohashi Japan , 2013 .

[29]  Manuel Fuentes,et al.  Modelling the influence of atmospheric conditions on the outdoor real performance of a CPV (Concentrated Photovoltaic) module , 2014 .

[30]  A. Ångström,et al.  Techniques of Determinig the Turbidity of the Atmosphere , 1961 .

[31]  K. Otani,et al.  Solar spectral influence on the performance of photovoltaic (PV) modules under fine weather and cloudy weather conditions , 2011 .

[32]  J. V. Muñoz,et al.  Analysis of the dependence of the spectral factor of some PV technologies on the solar spectrum distribution , 2014 .

[33]  C. Bohren,et al.  An introduction to atmospheric radiation , 1981 .

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