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Geometric optimization of concentrating solar collectors using Monte Carlo simulation / A. J. Marston in Transactions of the ASME. Journal of solar energy engineering, Vol. 132 N° 4 (Novembre 2010) 

Public ISBD [article]  in Transactions of the ASME. Journal of solar energy engineering > Vol. 132 N° 4 (Novembre 2010) . - pp. [041002/1-9] Titre : Geometric optimization of concentrating solar collectors using Monte Carlo simulation Type de document : texte imprimé Auteurs : A. J. Marston, Auteur ; K. J. Daun, Auteur ; M. R. Collins, Auteur Année de publication : 2011 Article en page(s) : pp. [041002/1-9] Note générale : Energie Solaire Langues : Anglais (eng) Mots-clés : Monte  Carlo  methods  Regression  analysis  Solar  absorber-convertors  Stochastic  programming Index. décimale : 621.47 Résumé : This paper presents an optimization algorithm for designing linear concentrating solar collectors using stochastic programming. A Monte Carlo technique is used to quantify the performance of the collector design in terms of an objective function, which is then minimized using a modified Kiefer–Wolfowitz algorithm that uses sample size and step size controls. This process is more efficient than traditional “trial-and-error” methods and can be applied more generally than techniques based on geometric optics. The method is validated through application to the design of three different configurations of linear concentrating collector. DEWEY : 621.47 ISSN : 0199-6231 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JSEEDO00013200 [...] [article] Geometric optimization of concentrating solar collectors using Monte Carlo simulation [texte imprimé] / A. J. Marston, Auteur ; K. J. Daun, Auteur ; M. R. Collins, Auteur . - 2011 . - pp. [041002/1-9]. Energie Solaire Langues : Anglais (eng) in Transactions of the ASME. Journal of solar energy engineering > Vol. 132 N° 4 (Novembre 2010) . - pp. [041002/1-9] Mots-clés : Monte  Carlo  methods  Regression  analysis  Solar  absorber-convertors  Stochastic  programming Index. décimale : 621.47 Résumé : This paper presents an optimization algorithm for designing linear concentrating solar collectors using stochastic programming. A Monte Carlo technique is used to quantify the performance of the collector design in terms of an objective function, which is then minimized using a modified Kiefer–Wolfowitz algorithm that uses sample size and step size controls. This process is more efficient than traditional “trial-and-error” methods and can be applied more generally than techniques based on geometric optics. The method is validated through application to the design of three different configurations of linear concentrating collector. DEWEY : 621.47 ISSN : 0199-6231 En ligne : http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JSEEDO00013200 [...]