Determination and comparison of different photovoltaic module temperature models for Kuching, Sarawak

This paper presents the approach of the different models that used to predict the module temperature, which is one of the most important factors responsible for lowering the performance of PV modules. The suitability of the models for PV module temperature prediction was examined in order to assess the anticipated behavior of module temperature increase with respect to ambient temperature and solar radiation. A total of 16 models has been selected and investigated by employing the monthly mean daily meteorological data of Kuching, Sarawak. It is revealed that most models exposed analogous tendency of module temperature and solar radiation intensity. However, their magnitude was quite dissimilar under constant solar radiation and ambient temperature conditions. This variation may be due to the use of different variables, climatic conditions, configuration of PV modules and approach used by various researchers.

[1]  Kamaruzzaman Sopian,et al.  The Temperature Dependence Coefficients of Amorphous Silicon and Crystalline Photovoltaic Modules Using Malaysian Field Test Investigation , 2009 .

[2]  Gilles Notton,et al.  Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations , 2010 .

[3]  Josie Close,et al.  Efficiency model for photovoltaic modules and demonstration of its application to energy yield estimation , 2007 .

[4]  K. Sumathy,et al.  Photovoltaic thermal module concepts and their performance analysis: A review , 2010 .

[5]  J. J. Bloem,et al.  Evaluation of a PV-integrated building application in a well-controlled outdoor test environment , 2008 .

[6]  V. V. Risser,et al.  Linear regression analysis of flat-plate photovoltaic system performance data , 1984 .

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

[8]  Lars Norum,et al.  Design and implementation of a digitally controlled stand-alone photovoltaic power supply , 2002 .

[9]  J. L. Balenzategui,et al.  Estimation of photovoltaic module yearly temperature and performance based on Nominal Operation Cell Temperature calculations , 2004 .

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

[11]  Brian Norton,et al.  The effect of low insolation conditions and inverter oversizing on the long‐term performance of a grid‐connected photovoltaic system , 2007 .

[12]  W. Beckman,et al.  Solar Engineering of Thermal Processes , 1985 .

[13]  Hans S. Rauschenbach,et al.  Solar-cell array design handbook , 1980 .

[14]  W. Beckman,et al.  A method for estimating the long-term performance of direct-coupled PV pumping systems , 1998 .

[15]  Mervyn Smyth,et al.  Long-term validated simulation of a building integrated photovoltaic system , 2005 .

[16]  R. G. Ross,et al.  Interface design considerations for terrestrial solar cell modules , 1976 .

[17]  Dhirayut Chenvidhya,et al.  Estimating operating cell temperature of BIPV modules in Thailand , 2009 .

[18]  Rachid Chenni,et al.  A detailed modeling method for photovoltaic cells , 2007 .

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

[20]  Brian Norton,et al.  Comparison of measured and predicted long term performance of grid a connected photovoltaic system , 2007 .

[21]  Stefan Krauter,et al.  Development of an integrated solar home system , 2004 .

[22]  P. Grunow,et al.  WEAK LIGHT PERFORMANCE AND ANNUAL YIELDS OF PV MODULES AND SYSTEMS AS A RESULT OF THE BASIC PARAMETER SET OF INDUSTRIAL SOLAR CELLS , 2004 .

[23]  Bin-Juine Huang,et al.  Solar cell junction temperature measurement of PV module , 2011 .