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Verification of optical modelling of sunshape and surface slope error for concentrating solar power systems

dc.contributor.authorWang, Ye
dc.contributor.authorPotter, Daniel
dc.contributor.authorAsselineau, Charles-Alexis
dc.contributor.authorCorsi, Clotilde
dc.contributor.authorWagner, Michael
dc.contributor.authorCaliot, Cyril
dc.contributor.authorPiaud, Benjamin
dc.contributor.authorBlanco, Manuel
dc.contributor.authorKim, Jin-Soo
dc.contributor.authorPye, John
dc.date.accessioned2024-02-05T21:28:21Z
dc.date.available2024-02-05T21:28:21Z
dc.date.issued2020
dc.date.updated2022-10-02T07:20:24Z
dc.description.abstractSunshape and reflector surface slope error distributions are significant elements in modelling the optical behaviour of a concentrating solar power system. Different optical modelling tools implement these elements with various approaches. Discrepancies can easily accumulate in simulations of a large optical system as a result of incorrect implementations. This study reviews and verifies the implementations of these two factors in six tools that are widely used for optical modelling in solar energy research: Tonatiuh, SolTrace, Tracer, Solstice, Heliosim and SolarPILOT. The review incorporates three rounds of tests. Firstly, basic tests examine each factor carefully in simplified on-axis reflector–target configurations (round ‘A’). Secondly, off-axis effects are introduced (round ‘B’). Thirdly, full heliostat field simulations are verified (round ‘C’). All of the test cases are simulated with each modelling tool, and results are compared. Discrepancies were observed due to approximations inherent in the cone optics (convolution) methods, incorrect implementation the of pillbox slope errors, different approaches to setting the circumsolar ratio for the Buie sunshape, and different approaches to the calculation of blocking and shading losses in some tools. All issues are discussed fully, and solutions to most issues were implemented within the scope of the present study. Some remaining issues are noted. The study highlights the importance of careful implementation of these aspects of optical modelling and contributes to an improvement in the quality of several widely-used tools.en_AU
dc.description.sponsorshipThis work is a collaboration between the Australian National University (ANU), CSIRO, NREL, PROMES-CNRS, Méso-Star Company and the Cyprus Institute. The authors gratefully acknowledge the support of (1) the European Union's Horizon 2020 Research and Innovation Programme, within the context of the Cyprus Institute’s CySTEM ERA Chair project, under Grant Agreement No. 667942, (2) the French ‘‘Investments for the future” program managed by the National Agency for Research (ANR) No. ANR-10-LABX-22-01-SOLSTICE and (3) the Australian Renewable Energy Agency, 2014/RND010.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0038-092Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/313217
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/BY-NC-ND/4.0/).en_AU
dc.publisherPergamon-Elsevier Ltden_AU
dc.rights© 2019 The authorsen_AU
dc.rights.licenseCreative Commons Attribution licenceen_AU
dc.rights.urihttp://creativecommons.org/licenses/ by-nc-nd/4.0/en_AU
dc.sourceSolar Energyen_AU
dc.subjectOptical modellingen_AU
dc.subjectVerificationen_AU
dc.subjectSunshapeen_AU
dc.subjectSurface slope erroren_AU
dc.subjectMonte Carlo ray tracingen_AU
dc.subjectCone opticsen_AU
dc.titleVerification of optical modelling of sunshape and surface slope error for concentrating solar power systemsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage474en_AU
local.bibliographicCitation.startpage461en_AU
local.contributor.affiliationWang, Ye, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationPotter, Daniel, CSIRO Energyen_AU
local.contributor.affiliationAsselineau, Charles-Alexis, College of Engineering and Computer Science, ANUen_AU
local.contributor.affiliationCorsi, Clotilde, CSIRO Energyen_AU
local.contributor.affiliationWagner, Michael, National Renewable Energy Laboratoryen_AU
local.contributor.affiliationCaliot, Cyril, CNRSen_AU
local.contributor.affiliationPiaud, Benjamin, Méso-Staren_AU
local.contributor.affiliationBlanco, Manuel, The Cyprus Instituteen_AU
local.contributor.affiliationKim, Jin-Soo, CSIRO Energy Technologyen_AU
local.contributor.affiliationPye, John, College of Engineering and Computer Science, ANUen_AU
local.contributor.authoruidWang, Ye, u5712676en_AU
local.contributor.authoruidAsselineau, Charles-Alexis, u5279029en_AU
local.contributor.authoruidPye, John, u3627027en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor401700 - Mechanical engineeringen_AU
local.identifier.ariespublicationu6269649xPUB874en_AU
local.identifier.citationvolume195en_AU
local.identifier.doi10.1016/j.solener.2019.11.035en_AU
local.identifier.scopusID2-s2.0-85075731535
local.identifier.thomsonIDWOS:000509632000043
local.publisher.urlhttps://www.sciencedirect.com/en_AU
local.type.statusPublished Versionen_AU

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