| Titre : | Geometric optimization of concentrating solar collectors using Monte Carlo simulation (2011) |
| Auteurs : | A. J. Marston, Auteur ; K. J. Daun, Auteur ; M. R. Collins, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Transactions of the ASME. Journal of solar energy engineering (Vol. 132 N° 4, Novembre 2010) |
| Article en page(s) : | pp. [041002/1-9] |
| Note générale : | Energie Solaire |
| Langues : | Anglais |
| Index. décimale : | 621.47 |
| Tags : | Monte Carlo methods Regression analysis Solar absorber-convertors Stochastic programming |
| 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.
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| DEWEY : | 621.47 |
| ISSN : | 0199-6231 |
| En ligne : | http://asmedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JSEEDO000132000004041002000001&idtype=cvips&gifs=Yes&ref=no |
