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.
Weitz, Sébastian
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).
Subjects
Monte Carlo algorithm
Concentrated solar energy
Solar energy flux density distribution
Solar concentrators design optimization
Sensitivity computation
Type
Wissenschaftlicher Artikel