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

Charles Alexis Asselineau; Jose Zapata; John Pye

doi:10.1364/OE.23.00A437

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

Charles Alexis Asselineau, Jose Zapata, John Pye

Research output: Contribution to journal › Article › peer-review

29 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	A437-A443
Journal	Optics Express
Volume	23
Issue number	11
DOIs	https://doi.org/10.1364/OE.23.00A437
Publication status	Published - 1 Jun 2015

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title = "Integration of Monte-Carlo ray tracing with a stochastic optimisation method: Application to the design of solar receiver geometry",

abstract = "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.",

author = "Asselineau, \{Charles Alexis\} and Jose Zapata and John Pye",

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AU - Asselineau, Charles Alexis

AU - Zapata, Jose

AU - Pye, John

PY - 2015/6/1

Y1 - 2015/6/1

N2 - 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.

AB - 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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DO - 10.1364/OE.23.00A437

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SP - A437-A443

JO - Optics Express

JF - Optics Express

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

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