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dc.contributor.authorRehman, Nen_NZ
dc.contributor.authorAnderson, Ten_NZ
dc.contributor.authorNates, Ren_NZ
dc.date.accessioned2018-12-19T00:15:17Z
dc.date.available2018-12-19T00:15:17Z
dc.date.copyright2016-11-28en_NZ
dc.identifier.citationProceedings of the Asia Pacific Solar Research Conference 2016, Publisher: Australian PV Institute, Editors: R. Egan and R. Passey, Dec 2016, ISBN: 978-0- 6480414-0-5
dc.identifier.urihttp://hdl.handle.net/10292/12121
dc.description.abstractAn algorithm for estimating solar energy potential of facades in an urban context is proposed in this paper. The potential is presented in terms of the ratio of direct solar energy accumulated on facades when shadowing effects of nearby buildings are considered and to an ideal scenario when these shadowing effects are ignored. In achieving this, the algorithm utilizes a 1.5D Digital Surface Model (DSM) aligned with lines of latitude. On this basis, it is able to assess daily and year round potential during times when the sun is at solar noon. The algorithm is designed to be easily converted into a computer program. Also, the time and computer memory required for the assessment is independent of the complexity of a given relief. To illustrate the algorithm, three case studies considering hypothetical DSM’s of equal façade surface areas, located in Auckland (New Zealand), are presented and compared with each other.en_NZ
dc.publisherAustralian PV Instituteen_NZ
dc.relation.urihttp://apvi.org.au/solar-research-conference/wp-content/uploads/2017/12/022_Rehman-Anderson-Nates_DI_Paper_Peer-reviewed.pdfen_NZ
dc.rightsAuthors retain the right to place his/her publication version of the work on a personal website or institutional repository for non commercial purposes. The definitive version was published in (see Citation). The original publication is available at (see Publisher’s Version).
dc.titleSolar Potential Assessment of Facades in an Urban Context: An Algorithm for 1.5D Digital Surface Modelsen_NZ
dc.typeConference Contribution
dc.rights.accessrightsOpenAccessen_NZ
pubs.elements-id219446
aut.relation.conference2016 Asia-Pacific Solar Research Conferenceen_NZ


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