Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11790/1502
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dc.contributor.authorDelatorre, J.de_at
dc.contributor.authorBaud, Germainde_at
dc.contributor.authorBézian, Jean Jacquesde_at
dc.contributor.authorBlanco, Stéphanede_at
dc.contributor.authorCaliot, Cyrilde_at
dc.contributor.authorCornet, Jean Françoisde_at
dc.contributor.authorCoustet, Christophede_at
dc.contributor.authorDauchet, Jérémide_at
dc.contributor.authorEl Hafi, Mounade_at
dc.contributor.authorEymet, Vincentde_at
dc.contributor.authorFournier, Richardde_at
dc.contributor.authorGautrais, Jacquesde_at
dc.contributor.authorGourmel, Olivierde_at
dc.contributor.authorJoseph, Davidde_at
dc.contributor.authorMeilhac, Nicolasde_at
dc.contributor.authorPajot, Anthonyde_at
dc.contributor.authorPaulin, M. A.de_at
dc.contributor.authorPerez, Patricede_at
dc.contributor.authorPiaud, Benjaminde_at
dc.contributor.authorRoger, Maximede_at
dc.contributor.authorRolland, J.de_at
dc.contributor.authorVeynandt, Francoisde_at
dc.contributor.authorWeitz, Sébastiande_at
dc.date.accessioned2021-03-31T07:46:22Z-
dc.date.available2021-03-31T07:46:22Z-
dc.date.issued2014-
dc.identifier.citationSolar Energy, 103, 653-681de_at
dc.identifier.issn0038-092X-
dc.identifier.urihttp://hdl.handle.net/20.500.11790/1502-
dc.description.abstractThe 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).de_at
dc.language.isoende_at
dc.publisherElsevierde_at
dc.relation.ispartofSolar Energyde_at
dc.rightsinfo:eu-repo/semantics/closedAccess-
dc.subjectMonte Carlo algorithmde_at
dc.subjectConcentrated solar energyde_at
dc.subjectSolar energy flux density distributionde_at
dc.subjectSolar concentrators design optimizationde_at
dc.subjectSensitivity computationde_at
dc.titleMonte Carlo advances and concentrated solar applicationsde_at
dc.typeWissenschaftlicher Artikelde_at
dc.identifier.doi10.1016/j.solener.2013.02.035-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeWissenschaftlicher Artikel-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
crisitem.author.deptEnergie-Umweltmanagement-
crisitem.author.orcid0000-0002-7002-9920-
crisitem.author.parentorgFH Burgenland-
Appears in Collections:Energie-Umweltmanagement
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