Integration of Monte-Carlo ray tracing with a stochastic optimisation method: application to the design of solar receiver geometry | Zendy

Charles-Alexis Asselineau | Zendy; José Zapata | Zendy; John Pye | Zendy

Open Access

Integration of Monte-Carlo ray tracing with a stochastic optimisation method: application to the design of solar receiver geometry

Author(s) -

Charles-Alexis Asselineau,

José Zapata,

John Pye

Publication year - 2015

Publication title -

optics express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 271

ISSN - 1094-4087

DOI - 10.1364/oe.23.00a437

Subject(s) - distributed ray tracing , ray tracing (physics) , monte carlo method , optics , radiative transfer , geometrical optics , computer science , beam tracing , solar energy , stochastic geometry , physics , mathematics , engineering , statistics , electrical engineering

A stochastic optimisation method adapted to illumination and radiative heat transfer problems involving Monte-Carlo ray-tracing is presented. A solar receiver shape optimisation case study illustrates the advantages of the method and its potential: efficient receivers are identified using a moderate computational cost.

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