NDLI: Multiphysics modelling and experimental validation of high concentration photovoltaic modules

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Multiphysics modelling and experimental validation of high concentration photovoltaic modules

Content Provider	Semantic Scholar
Author	Theristis, Marios Fernández, Eduardo F. Sumner, Mike O'Donovan, Tadhg S.
Copyright Year	2017
Abstract	Abstract High concentration photovoltaics, equipped with high efficiency multijunction solar cells, have great potential in achieving cost-effective and clean electricity generation at utility scale. Such systems are more complex compared to conventional photovoltaics because of the multiphysics effect that is present. Modelling the power output of such systems is therefore crucial for their further market penetration. Following this line, a multiphysics modelling procedure for high concentration photovoltaics is presented in this work. It combines an open source spectral model, a single diode electrical model and a three-dimensional finite element thermal model. In order to validate the models and the multiphysics modelling procedure against actual data, an outdoor experimental campaign was conducted in Albuquerque, New Mexico using a high concentration photovoltaic monomodule that is thoroughly described in terms of its geometry and materials. The experimental results were in good agreement (within 2.7%) with the predicted maximum power point. This multiphysics approach is relatively more complex when compared to empirical models, but besides the overall performance prediction it can also provide better understanding of the physics involved in the conversion of solar irradiance into electricity. It can therefore be used for the design and optimisation of high concentration photovoltaic modules.
Starting Page	122
Ending Page	134
Page Count	13
File Format	PDF HTM / HTML
DOI	10.1016/j.enconman.2017.02.044
Alternate Webpage(s)	https://pureapps2.hw.ac.uk/ws/portalfiles/portal/15127722/ECM_Paper.pdf
Alternate Webpage(s)	https://doi.org/10.1016/j.enconman.2017.02.044
Volume Number	139
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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