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/ose.2014.rtu3b.3

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

The Australian National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

A stochastic optimisation combined with Monte-Carlo ray-tracing is applied to solar receiver shape design. Efficient receivers are determined using a moderate computational cost. A case study is presented to show the results of the method.

Original language	English
Title of host publication	Optics for Solar Energy, OSE 2014
Publisher	Optical Society of America (OSA)
ISBN (Print)	9781557527561
DOIs	https://doi.org/10.1364/ose.2014.rtu3b.3
Publication status	Published - 25 Nov 2014
Event	Optics for Solar Energy, OSE 2014 - Canberra, Australia Duration: 2 Dec 2014 → 5 Dec 2014

Publication series

Name	Optics for Solar Energy, OSE 2014

Conference

Conference	Optics for Solar Energy, OSE 2014
Country/Territory	Australia
City	Canberra
Period	2/12/14 → 5/12/14

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10.1364/ose.2014.rtu3b.3

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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 combined with Monte-Carlo ray-tracing is applied to solar receiver shape design. Efficient receivers are determined using a moderate computational cost. A case study is presented to show the results of the method.",

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

note = "Publisher Copyright: {\textcopyright} OSA 2014.; Optics for Solar Energy, OSE 2014 ; Conference date: 02-12-2014 Through 05-12-2014",

year = "2014",

month = nov,

day = "25",

doi = "10.1364/ose.2014.rtu3b.3",

language = "English",

isbn = "9781557527561",

series = "Optics for Solar Energy, OSE 2014",

publisher = "Optical Society of America (OSA)",

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}

Asselineau, CA, Zapata, J & Pye, J 2014, Integration of Monte-Carlo ray tracing with a stochastic optimisation method: Application to the design of solar receiver geometry. in Optics for Solar Energy, OSE 2014. Optics for Solar Energy, OSE 2014, Optical Society of America (OSA), Optics for Solar Energy, OSE 2014, Canberra, Australia, 2/12/14. https://doi.org/10.1364/ose.2014.rtu3b.3

Integration of Monte-Carlo ray tracing with a stochastic optimisation method: Application to the design of solar receiver geometry. / Asselineau, Charles Alexis; Zapata, Jose; Pye, John.
Optics for Solar Energy, OSE 2014. Optical Society of America (OSA), 2014. (Optics for Solar Energy, OSE 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Integration of Monte-Carlo ray tracing with a stochastic optimisation method

T2 - Optics for Solar Energy, OSE 2014

AU - Asselineau, Charles Alexis

AU - Zapata, Jose

AU - Pye, John

PY - 2014/11/25

Y1 - 2014/11/25

N2 - A stochastic optimisation combined with Monte-Carlo ray-tracing is applied to solar receiver shape design. Efficient receivers are determined using a moderate computational cost. A case study is presented to show the results of the method.

AB - A stochastic optimisation combined with Monte-Carlo ray-tracing is applied to solar receiver shape design. Efficient receivers are determined using a moderate computational cost. A case study is presented to show the results of the method.

UR - http://www.scopus.com/inward/record.url?scp=85088768270&partnerID=8YFLogxK

U2 - 10.1364/ose.2014.rtu3b.3

DO - 10.1364/ose.2014.rtu3b.3

M3 - Conference contribution

AN - SCOPUS:85088768270

SN - 9781557527561

T3 - Optics for Solar Energy, OSE 2014

BT - Optics for Solar Energy, OSE 2014

PB - Optical Society of America (OSA)

Y2 - 2 December 2014 through 5 December 2014

ER -

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

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