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Comprehensive modelling and sizing of PV systems from location to load

Published online by Cambridge University Press:  29 April 2015

O. Isabella
Affiliation:
Delft University of Technology, PVMD/Dimes, Mekelweg 4, 2628 CD Delft, The Netherlands
G. Ganesan Nair
Affiliation:
Delft University of Technology, PVMD/Dimes, Mekelweg 4, 2628 CD Delft, The Netherlands
A. Tozzi
Affiliation:
Delft University of Technology, PVMD/Dimes, Mekelweg 4, 2628 CD Delft, The Netherlands
J. Hernandez Castro Barreto
Affiliation:
Delft University of Technology, PVMD/Dimes, Mekelweg 4, 2628 CD Delft, The Netherlands
G. Ram Chandra Mouli
Affiliation:
Delft University of Technology, PVMD/Dimes, Mekelweg 4, 2628 CD Delft, The Netherlands
F. Lantsheer
Affiliation:
Koninklijk Nederlands Meteorologisch Instituut (KNMI), WEER/RB&C, PO Box 201 E De Bilt, The Netherlands
S. van Berkel
Affiliation:
SolarNRG, Mercuriusplein 40, 2685 LP Poeldijk, The Netherlands
M. Zeman
Affiliation:
Delft University of Technology, PVMD/Dimes, Mekelweg 4, 2628 CD Delft, The Netherlands
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Abstract

Photovoltaic (PV) systems are progressively used for decentralized electricity generation. To obtain the maximum yield from such systems, optimisation of all components is essential. In this contribution, we provide a comprehensive modelling and sizing of PV systems for any location. Three applications are here presented providing real time monitoring of PV potential, accurate prediction of yield taking into account thermodynamic temperature effects, optimization of modules orientation addressing the effects of shading and efficient sizing of inverter for a higher yield output. When combined, these models can accurately predict the real time performance of any PV system.

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Articles
Copyright
Copyright © Materials Research Society 2015 

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References

Koninklijk Nederlands Meteorologisch Instituut (http://www.knmi.nl/index_en.html (accessed March 2015).
Fuentes, M. K., A Simplified Thermal Model for Flat-Plate Photovoltaic Arrays, Sandia National Laboratories report (1987) (http://prod.sandia.gov/techlib/access-control.cgi/1985/850330.pdf, accessed March 2015).
Sandia national laboratories inverter database, Sandia National Laboratories (2014) (https://sam.nrel.gov/content/component-databases, accessed March 2015).
Burger, B. and Rüther, R., Inverter sizing of grid-connected photovoltaic systems in the light of local solar resource distribution characteristics and temperature, Solar Energy 80, 3245 (2006).CrossRefGoogle Scholar
Steca Elektronik (http://www.steca.com/index.php?StecaGrid_Portal_registration, accessed March 2015).
The German Energy Society (Deutsche Gesellshaft für Sonnenenergie), Planning & Installing Photovoltaic Systems, A guide for installers, architects and engineers, Earthscan (2008).

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