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Monte Carlo advances and concentrated solar applications

Publisher
Elsevier
Source
Solar Energy, 103, 653-681
Date Issued
2014
Author(s)
Delatorre, J. 
Baud, Germain 
Bézian, Jean Jacques 
Blanco, Stéphane 
Caliot, Cyril 
Cornet, Jean François 
Coustet, Christophe 
Dauchet, Jérémi 
El Hafi, Mouna 
Eymet, Vincent 
Fournier, Richard 
Gautrais, Jacques 
Gourmel, Olivier 
Joseph, David 
Meilhac, Nicolas 
Pajot, Anthony 
Paulin, M. A. 
Perez, Patrice 
Piaud, Benjamin 
Roger, Maxime 
Rolland, J. 
Veynandt, Francois  
Weitz, Sébastian 
DOI
10.1016/j.solener.2013.02.035
Abstract
The Monte Carlo method is partially reviewed with the objective of illustrating how some of the most recent methodological advances can benefit to concentrated solar research. This review puts forward the practical consequences of writing down and handling the integral formulation associated to each Monte Carlo algorithm. Starting with simple examples and up to the most complex multiple reflection, multiple scattering configurations, we try to argue that these formulations are very much accessible to the non specialist and that they allow a straightforward entry to sensitivity computations (for assistance in design optimization processes) and to convergence enhancement techniques involving subtle concepts such as control variate and zero variance. All illustration examples makePROMES - UPR CNRS 8521 - 7, rue du Four Solaire, 66120 Font Romeu Odeillo, France use of the public domain development environment EDStar (including advanced parallelized computer graphics libraries) and are meant to serve as start basis either for the upgrading of existing Monte Carlo codes, or for fast implementation of ad hoc codes when specific needs cannot be answered with standard concentrated solar codes (in particular as far as the new generation of solar receivers is concerned).
URI
http://hdl.handle.net/20.500.11790/1502
Subjects
Monte Carlo algorithm
Concentrated solar energy
Solar energy flux density distribution
Solar concentrators design optimization
Sensitivity computation
Type
Wissenschaftlicher Artikel

 

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