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A gradient-descent method for optimisation of solar collector arrays

Cumpston, Jeffrey; Pye, John

Description

We present a numerical function for approximating shading losses around two-axis tracking solar collectors. It is used in a gradient descent algorithm to optimise relative collector position. System yield is increased by 1%-2%.

dc.contributor.authorCumpston, Jeffrey
dc.contributor.authorPye, John
dc.coverage.spatialCanberra, Australia
dc.date.accessioned2015-12-10T23:34:50Z
dc.date.createdDecember 2-5 2014
dc.identifier.isbn9781557527561
dc.identifier.urihttp://hdl.handle.net/1885/69596
dc.description.abstractWe present a numerical function for approximating shading losses around two-axis tracking solar collectors. It is used in a gradient descent algorithm to optimise relative collector position. System yield is increased by 1%-2%.
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.subjectKeywords: Solar collectors; Solar energy; Collector arrays; Gradient descent algorithms; Gradient Descent method; Numerical functions; Optimisations; Two-axis; Optimization
dc.titleA gradient-descent method for optimisation of solar collector arrays
dc.typeConference paper
local.description.notesImported from ARIES
dc.date.issued2014
local.identifier.absfor020103 - Cosmology and Extragalactic Astronomy
local.identifier.ariespublicationa383154xPUB2069
local.type.statusPublished Version
local.contributor.affiliationCumpston, Jeffrey, College of Engineering and Computer Science, ANU
local.contributor.affiliationPye, John, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage3
local.identifier.doi10.1364/OSE.2014.RTh3B.4
dc.date.updated2023-01-22T07:16:06Z
local.identifier.scopusID2-s2.0-84928978358
CollectionsANU Research Publications

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