Assessment of the Operating Temperature of Crystalline PV Modules Based on Real Use Conditions

Determining the operating temperature of photovoltaic panels is important in evaluating the actual performance of these systems. In the literature, different correlations exist, in either explicit or implicit forms, which often do not account for the electrical behaviour of panels; in this way, estimating is based only on the passive behaviour of the . In this paper, the authors propose a new implicit correlation that takes into account the standard weather variables and the electricity production regimes of a panel in terms of the proximity to the maximum power points. To validate its reliability, the new correlation was tested on two different PV panels (Sanyo and Kyocera panels) and the results were compared with values obtained from other common correlations already available in the literature. The data show that the quality of the new correlation drastically improves the estimation of the photovoltaic operating temperature.

[1]  David L. King,et al.  Characterizing (rating) the performance of large photovoltaic arrays for all operating conditions , 1996, Conference Record of the Twenty Fifth IEEE Photovoltaic Specialists Conference - 1996.

[2]  Giuseppina Ciulla,et al.  A comparison of different one-diode models for the representation of I–V characteristic of a PV cell , 2014 .

[3]  D. L. Evans,et al.  Simplified method for predicting photovoltaic array output , 1980 .

[4]  Rolf Hanitsch,et al.  Combined photovoltaic and solar thermal systems for facade integration and building insulation , 1999 .

[5]  Robert Mertens,et al.  Thermal modeling of residential photovoltaic arrays , 1984 .

[6]  Vincenzo Franzitta,et al.  A Novel Implicit Correlation for the Operative Temperature of a PV Panel , 2012 .

[7]  W. Beckman,et al.  Solar energy thermal processes , 1974 .

[8]  A. Maldonado,et al.  Physical properties of ZnO:F obtained from a fresh and aged solution of zinc acetate and zinc acetylacetonate , 2006 .

[9]  J. Servant,et al.  CALCULATION OF THE CELL TEMPERATURE FOR PHOTOVOLTAIC MODULES FROM CLIMATIC DATA , 1986 .

[10]  Faten H. Fahmy,et al.  Evaluation of a proper controller performance for maximum-power point tracking of a stand-alone PV system , 2003 .

[11]  David Faiman,et al.  Assessing the outdoor operating temperature of photovoltaic modules , 2008 .

[12]  Steve Ransome,et al.  Characterising PV Modules Under Outdoor Conditions: What’s Most Important for Energy Yield , 2011 .

[13]  Valerio Lo Brano,et al.  Quality of wind speed fitting distributions for the urban area of Palermo, Italy , 2011 .

[14]  Giuseppina Ciulla,et al.  THE REDESIGN OF AN ITALIAN BUILDING TO REACH NET ZERO ENERGY PERFORMANCES: A CASE STUDY OF THE SHC TASK 40 ECBCS Annex 52 , 2011 .

[15]  Gilles Notton,et al.  Calculation of the polycrystalline PV module temperature using a simple method of energy balance , 2006 .

[16]  M. Heck,et al.  Modeling of the nominal operating cell temperature based on outdoor weathering , 2011 .

[17]  Joseph Kuitche,et al.  One year NOCT Round-Robin testing per IEC 61215 standard , 2011, 2011 37th IEEE Photovoltaic Specialists Conference.

[18]  Giuseppina Ciulla,et al.  An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data , 2013 .

[19]  E. Skoplaki,et al.  ON THE TEMPERATURE DEPENDENCE OF PHOTOVOLTAIC MODULE ELECTRICAL PERFORMANCE: A REVIEW OF EFFICIENCY/ POWER CORRELATIONS , 2009 .

[20]  Giuseppina Ciulla,et al.  582. A Photovoltaic panel coupled with a phase changing material heat storage system in hot climates , 2008 .

[21]  Manuel Berenguel,et al.  Solar Energy Fundamentals , 2012 .

[22]  M. Trapanese,et al.  Design and Performance of a High Temperature Superconducting Axial Flux Generator , 2013, IEEE Transactions on Magnetics.

[23]  James W. Stultz.  Thermal and other tests of photovoltaic modules performed in natural sunlight , 1979 .

[24]  Mahmoud Omid,et al.  ANN based simulation and experimental verification of analytical four- and five-parameters models of PV modules , 2013, Simul. Model. Pract. Theory.

[25]  Tomonobu Senjyu,et al.  Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller , 2003, IEEE Trans. Ind. Electron..

[26]  Joseph Kuitche,et al.  Nominal Operating Cell Temperature (NOCT): Effects of module size, loading and solar spectrum , 2009, 2009 34th IEEE Photovoltaic Specialists Conference (PVSC).

[27]  Tomonobu Senjyu,et al.  Maximum power point tracking of coupled inductor interleaved boost converter supplied PV system , 2003 .

[28]  Ursula Eicker,et al.  Photovoltaic–thermal collectors for night radiative cooling of buildings , 2011 .

[29]  K. Emery,et al.  Temperature dependence of photovoltaic cells, modules and systems , 1996, Conference Record of the Twenty Fifth IEEE Photovoltaic Specialists Conference - 1996.

[30]  Valerio Lo Brano,et al.  Is the transfer function method reliable in a European building context? A theoretical analysis and a case study in the south of Italy , 2005 .

[31]  Giuseppina Ciulla,et al.  Forecasting the Cell Temperature of PV Modules with an Adaptive System , 2013 .

[32]  Milos Manic,et al.  Optimal artificial neural network architecture selection for performance prediction of compact heat exchanger with the EBaLM-OTR technique , 2011 .

[33]  Tawanda Hove,et al.  A method for predicting long-term average performance of photovoltaic systems , 2000 .

[34]  Giuseppina Ciulla,et al.  A criterion for the assessment of the reliability of ASHRAE conduction transfer function coefficients , 2010 .

[35]  Antonio Piacentino,et al.  A measurement methodology for monitoring a CHCP pilot plant for an office building , 2003 .

[36]  Gilles Notton,et al.  Modelling of a double-glass photovoltaic module using finite differences , 2005 .

[37]  V. A. Grilikhes,et al.  Photovoltaic Conversion of Concentrated Sunlight , 1997 .

[38]  Suttichai Premrudeepreechacharn,et al.  Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system , 2005 .

[39]  E. Skoplaki,et al.  Operating temperature of photovoltaic modules: A survey of pertinent correlations , 2009 .

[40]  Rosenberg J. Romero,et al.  Experimental thermodynamic evaluation for a single stage heat transformer prototype build with commercial PHEs , 2015 .

[41]  G. Rizzo,et al.  Renewable energy sources: A Mediterranean perspective , 2010, 2010 2nd International Conference on Chemical, Biological and Environmental Engineering.

[42]  Bogdan M. Wilamowski,et al.  Microprocessor implementation of fuzzy systems and neural networks , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).