Performance of a concentrating photovoltaic monomodule under real operating conditions: Part I – Outdoor characterisation

Abstract Monitoring the performance of concentrating photovoltaic technologies under actual operating conditions is crucial for the prediction of energy yield. This requires an in-depth understanding of the behaviour of such systems through extensive outdoor characterisation and modelling. Detailed information on the outdoor performance of concentrating photovoltaic technology, taking into account the parameters that influence it, is therefore necessary for the evolution of the technology. In this work, a concentrating photovoltaic monomodule was characterised in a high desert climate (in Albuquerque, New Mexico). Due to the complexity of the outdoor performance evaluation of this technology, three relatively clear-sky days that exhibited different atmospheric conditions were selected in order to reduce the noise on the measured parameters and therefore provide a better understanding of its behaviour. One-minute resolution data were accumulated in order to assess the behaviour of the monomodule under real operating conditions. Initially, the monomodule is electrically characterised based on spectral changes. Different spectral indices are evaluated to enable a direct comparison amongst them. The diurnal electrical characteristics and temperature of the monomodule as a function of spectral, irradiance and ambient conditions is then analysed. The results of the three selected days show a maximum operating efficiency of 23.2% while maximum temperatures of 70.3 °C and 67.6 °C are observed on the diode and heat sink respectively. The importance of considering the influence of the atmospheric parameters on the performance of concentrating photovoltaics is also highlighted. In particular, spectral gains of up to 5% are exhibited due to lower aerosol content and higher precipitable water combined.

[1]  Eduardo F. Fernández,et al.  Experimental analysis of the spectral factor for quantifying the spectral influence on concentrator photovoltaic systems under real operating conditions , 2015 .

[2]  S. Kurtz,et al.  A side‐by‐side comparison of CPV module and system performance , 2016 .

[3]  A. Bett,et al.  Spectral Measurements Using Component Cells: Examinations on Measurement Precision , 2011 .

[4]  K. Emery,et al.  Proposed reference irradiance spectra for solar energy systems testing , 2002 .

[5]  Eduardo F. Fernández,et al.  A two subcell equivalent solar cell model for III–V triple junction solar cells under spectrum and temperature variations , 2013 .

[6]  R. Higgins,et al.  Influence of the North American Monsoon System on the U.S. Summer Precipitation Regime , 1997 .

[7]  Eduardo F. Fernández,et al.  Quantification of the spectral coupling of atmosphere and photovoltaic system performance: Indexes, methods and impact on energy harvesting , 2017 .

[8]  Brent Fisher,et al.  Key parameters in determining energy generated by CPV modules , 2015 .

[9]  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 .

[10]  Florencia Almonacid,et al.  Spectral Corrections Based on Air Mass, Aerosol Optical Depth, and Precipitable Water for CPV Performance Modeling , 2016, IEEE Journal of Photovoltaics.

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

[12]  Eduardo F. Fernández,et al.  Performance of a concentrating photovoltaic monomodule under real operating conditions: Part II – Power rating , 2018 .

[13]  S. Kurtz,et al.  An Investigation into Spectral Parameters as they Impact CPV Module Performance , 2010 .

[14]  Keiichiro Sakurai,et al.  Field experience and performance of CPV system in different climates , 2013 .

[15]  M. Steiner,et al.  Estimation of the influence of Fresnel lens temperature on energy generation of a concentrator photovoltaic system , 2012 .

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

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

[19]  Eduardo F. Fernández,et al.  Models for the electrical characterization of high concentration photovoltaic cells and modules: A review , 2013 .

[20]  P. G. Vidal,et al.  Outdoor evaluation of concentrator photovoltaic systems modules from different manufacturers: first results and steps , 2013 .

[21]  S. Askins,et al.  Spectral study and classification of worldwide locations considering several multijunction solar cell technologies , 2016 .

[22]  William E. McMahon,et al.  Fill factor as a probe of current‐matching for GaInP2/GaAs tandem cells in a concentrator system during outdoor operation , 2008 .

[23]  S. Askins,et al.  Determination of spectral variations by means of component cells useful for CPV rating and design , 2016 .

[24]  T. O'Donovan,et al.  Design and Numerical Analysis of Enhanced Cooling Techniques for a High Concentration Photovoltaic (HCPV) System , 2012 .

[25]  Marios Theristis,et al.  Electrical-thermal analysis of III–V triple-junction solar cells under variable spectra and ambient temperatures , 2015 .

[26]  Eduardo F. Fernández,et al.  Model for estimating the energy yield of a high concentrator photovoltaic system , 2015 .

[27]  S. Askins,et al.  Current‐matching estimation for multijunction cells within a CPV module by means of component cells , 2013 .

[28]  J. A. Caballero,et al.  Spectral Corrections Based on Air Mass, Aerosol Optical Depth, and Precipitable Water for PV Performance Modeling , 2016, IEEE Journal of Photovoltaics.

[30]  Eduardo F. Fernández,et al.  A theoretical analysis of the impact of atmospheric parameters on the spectral, electrical and thermal performance of a concentrating III–V triple-junction solar cell , 2016 .

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

[32]  Eduardo F. Fernández,et al.  Spectral Correction of CPV Modules Equipped with GaInP/GaInAs/Ge Solar Cells and Fresnel Lenses , 2017 .

[33]  C. Renno,et al.  Experimental characterization of a concentrating photovoltaic system varying the light concentration , 2017 .

[34]  Eduardo F. Fernández,et al.  Multiphysics modelling and experimental validation of high concentration photovoltaic modules , 2017 .

[35]  Eduardo F. Fernández,et al.  Model for the prediction of the maximum power of a high concentrator photovoltaic module , 2013 .

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

[37]  Eduardo F. Fernández,et al.  A worldwide assessment of levelised cost of electricity of HCPV systems , 2016 .