Simplified method for shading-loss analysis in BIPV systems. Part 2: Application in case studies

Abstract This is the second part of the paper “Simplified method for shading-loss analysis in BIPV systems”. The objective of Part 2 is to apply the simplified method described in Part 1 in order to estimate the influence of partial shadings on the performance of four installed and in operation BIPV systems. The method consists in identifying and quantifying the shading on a surface, relating the fraction of shaded area with the percentage of incident irradiation reduction during the same period, in order to propose a shading index (SI) that represents the energy losses on partially shaded PV systems. SI was validated through the analysed case studies and it was proved to be a convenient way of estimating the PV generation of partially shaded PV systems. This method is independent from the electric configuration and can be used for already installed PV systems, or surfaces under investigation for PV installations, both through manual calculations and also through calculations using dedicated software packages.

[1]  Saffa Riffat,et al.  Monitoring results of two examples of building integrated PV (BIPV) systems in the UK , 2003 .

[2]  Giacomo Capizzi,et al.  A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module , 2012, ArXiv.

[3]  B. Marion,et al.  Performance parameters for grid-connected PV systems , 2005, Conference Record of the Thirty-first IEEE Photovoltaic Specialists Conference, 2005..

[4]  Andrew Marsh THE APPLICATION OF SHADING MASKS IN BUILDING SIMULATION , 2005 .

[5]  Ricardo Rüther,et al.  Performance Analysis for Bipv in High-Rise, High-Density Cities: A Case Study in Singapore , 2014 .

[6]  Ricardo Rüther,et al.  Compromises between form and function in grid-connected, building-integrated photovoltaics (BIPV) at , 2011 .

[7]  Gabriele Lobaccaro,et al.  Solar Energy in Urban Environment: How Urban Densification Affects Existing Buildings☆ , 2014 .

[8]  Thomas Reindl,et al.  Shading analysis for rooftop BIPV embedded in a high-density environment: A case study in Singapore , 2016 .

[9]  M. Castro,et al.  Application and validation of algebraic methods to predict the behaviour of crystalline silicon PV modules in Mediterranean climates , 2007 .

[10]  C. Gonzalez,et al.  Photovoltaic array loss mechanisms , 1986 .

[11]  H. Outhred,et al.  Analysis and control of mismatch power loss in photovoltaic arrays , 1995 .

[12]  Michael Radike,et al.  Electrical and shading power losses of decorative PV front contact patterns , 1999 .

[13]  Saad Mekhilef,et al.  State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review , 2016 .

[14]  A. Iliceto,et al.  The largest PV installation in Europe: Perspectives of multimegawatt PV , 1998 .

[15]  Vasco Medici,et al.  S.M.O Solution: An Innovative Design Approach to Optimize the Output of BIPV Systems Located in Dense Urban Environments☆ , 2016 .

[16]  Filippo Spertino,et al.  A simulation procedure to predict the monthly energy supplied by grid connected PV systems , 2003, 3rd World Conference onPhotovoltaic Energy Conversion, 2003. Proceedings of.

[17]  Amaya Martínez-Gracia,et al.  Photovoltaics on flat roofs: Energy considerations , 2011 .

[18]  Christian Reise,et al.  Performance ratio revisited: is PR > 90% realistic? , 2011 .

[19]  David Infield,et al.  Artificial Neural Network for real time modelling of photovoltaic system under partial shading , 2010, 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET).

[20]  J. Michalsky,et al.  Modeling daylight availability and irradiance components from direct and global irradiance , 1990 .

[21]  Ayman A. Hamad,et al.  A software application for energy flow simulation of a grid connected photovoltaic system , 2010 .

[22]  Clarissa Debiazi Zomer Método de estimativa da influência do sombreamento parcial na geração energética de sistemas solares fotovoltaicos integrados em edificações , 2014 .

[23]  Melvin Pomerantz,et al.  Solar access of residential rooftops in four California cities , 2009 .

[24]  Ronnie Belmans,et al.  Partial shadowing of photovoltaic arrays with different system configurations: literature review and field test results , 2003 .

[25]  S. Silvestre,et al.  Effects of shadowing on photovoltaic module performance , 2008 .

[26]  M. Knörich Zuffo,et al.  Comparing Energy Yield Simulation in Grid-connected 450kWp Parking-integrated Photovoltaics - Case Study: Villa Lobos Project in Sao Paulo, Brazil , 2014 .

[27]  Luis Martinez-Salamero,et al.  Minimizing the effects of shadowing in a PV module by means of active voltage sharing , 2010, 2010 IEEE International Conference on Industrial Technology.

[28]  R. Hanitsch,et al.  NUMERICAL SIMULATION OF PHOTOVOLTAIC GENERATORS WITH SHADED CELLS , 1995 .

[29]  M. G. De Giorgi,et al.  Performance measurements of monocrystalline silicon PV modules in South-eastern Italy , 2013 .

[30]  Thomas Reindl,et al.  The balance between aesthetics and performance in building‐integrated photovoltaics in the tropics , 2014 .

[31]  Florencia Almonacid,et al.  Classification of methods for annual energy harvesting calculations of photovoltaic generators , 2014 .

[32]  K. Naito,et al.  Simulation of I–V characteristics of a PV module with shaded PV cells , 2003 .

[33]  M. I. Dieste-Velasco,et al.  Performance of grid-tied PV facilities: A case study based on real data , 2013 .

[34]  J. M. Ruíz,et al.  Analysis and modelling the reverse characteristic of photovoltaic cells , 2006 .

[35]  A. Peres,et al.  Comparative analysis of series and parallel photovoltaic arrays under partial shading conditions , 2012, 2012 10th IEEE/IAS International Conference on Industry Applications.