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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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dc.contributor.authorAsselineau, Charles-Alexis
dc.contributor.authorZapata, Jose
dc.contributor.authorPye, John
dc.coverage.spatialCanberra, Australia
dc.date.accessioned2015-12-10T23:34:46Z
dc.date.available2015-12-10T23:34:46Z
dc.date.createdDecember 2-5 2014
dc.date.issued2014
dc.date.updated2015-12-10T11:35:53Z
dc.description.abstractA 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.
dc.identifier.isbn9781557527561
dc.identifier.urihttp://hdl.handle.net/1885/69565
dc.publisherOptical Society of American (OSA)
dc.relation.ispartofseriesOptics for Solar Energy
dc.sourceLight, Energy and the Environment, OSA Technical Digest
dc.source.urihttp://www.opticsinfobase.org/abstract.cfm?URI=OSE-2014-RW4B.5
dc.titleIntegration of Monte-Carlo ray tracing with a stochastic optimisation method: Application to the design of solar receiver geometry
dc.typeConference paper
local.contributor.affiliationAsselineau, Charles-Alexis, College of Engineering and Computer Science, ANU
local.contributor.affiliationZapata, Jose, College of Engineering and Computer Science, ANU
local.contributor.affiliationPye, John, College of Engineering and Computer Science, ANU
local.contributor.authoruidAsselineau, Charles-Alexis, u5279029
local.contributor.authoruidZapata, Jose, u4629097
local.contributor.authoruidPye, John, u3627027
local.description.notesImported from ARIES
local.identifier.absfor090605 - Photodetectors, Optical Sensors and Solar Cells
local.identifier.ariespublicationa383154xPUB2060
local.identifier.scopusID2-s2.0-84928966494
local.type.statusPublished Version

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