Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.enbuild.2013.11.031
DC FieldValue
dc.titleReprint of "assessment of approaches for modeling louver shading devices in building energy simulation programs"
dc.contributor.authorSaelens, D.
dc.contributor.authorParys, W.
dc.contributor.authorRoofthooft, J.
dc.contributor.authorDe La Torre, A.T.
dc.date.accessioned2016-06-02T09:25:13Z
dc.date.available2016-06-02T09:25:13Z
dc.date.issued2014-01
dc.identifier.citationSaelens, D., Parys, W., Roofthooft, J., De La Torre, A.T. (2014-01). Reprint of "assessment of approaches for modeling louver shading devices in building energy simulation programs". Energy and Buildings 68 (PART C) : 799-810. ScholarBank@NUS Repository. https://doi.org/10.1016/j.enbuild.2013.11.031
dc.identifier.issn03787788
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/124971
dc.description.abstractIn this paper a ray-tracing method is developed to describe the global solar transmittance of louver shading devices. The method is integrated in the dynamic building energy simulation program TRNSYS to assess the cooling demand and required peak cooling power in a south oriented office room. The proposed integrated approach allows calculating the solar transmittance for each time step. As the method is quite complex and requires an important computational effort, this research contrasts the results against the performance of simplified modeling and implementation approaches to assess the performance of louver shading devices. The use of view factor models not accounting for reflections in the shading device underestimates the cooling demand and the peak cooling power. It is shown that representing the shading device as a fixed reduction factor, independent of orientation and shading typology is an unacceptable simplification. However, the use of a simplified implementation of shading factors based on ray-tracing calculations is possible within acceptable margins of error. Best results are achieved by implementing solar radiation weighted monthly averages allowing to estimate the cooling demand and peak cooling power within 3%. © 2013 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.enbuild.2013.11.031
dc.sourceScopus
dc.subjectAngular dependent properties
dc.subjectBuilding energy simulation
dc.subjectg-Value
dc.subjectLouvers
dc.subjectRay-tracing
dc.subjectShading device
dc.subjectSolar energy
dc.subjectSolar radiation
dc.typeArticle
dc.contributor.departmentARCHITECTURE
dc.description.doi10.1016/j.enbuild.2013.11.031
dc.description.sourcetitleEnergy and Buildings
dc.description.volume68
dc.description.issuePART C
dc.description.page799-810
dc.description.codenENEBD
dc.identifier.isiut000329885600010
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.