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Neighbour building shading group calculation from CityGML data

Lilis, GN; Giannakis, G; Rovas, DV; (2017) Neighbour building shading group calculation from CityGML data. In: Barnaby, Charles S. and Wetter, Michael, (eds.) Proceedings of the 15th IBPSA Conference San Francisco. IBPSA-World: CA, USA. Green open access

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Abstract

In order to account for the neighbor building shading effects into Building Energy Performance simulations, the building models should be enhanced with the geometric information of neighbor building envelope surfaces, taking into account the relative position of the neighbor buildings, with respect to the building of interest and the sun path, over a specific time interval. These surfaces, ranked by their total shading effect, are obtained by the introduced district neighbor shading function (DNS). DNS receives as input building envelope geometric representations from a CityGML file, the longitude and latitude of the district and a time interval of interest and returns the minimal set of shading buildings and surfaces, for the considered time interval. The algorithm is tested on CityGML data from a real district and it is assessed using EnergyPlus simulations.

Type: Proceedings paper
Title: Neighbour building shading group calculation from CityGML data
Event: 15th International Conference of IBPSA
Location: San Francisco, USA
Dates: 07 August 2017 - 09 August 2017
ISBN-13: 978-1-7750520-0-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.26868/25222708.2017.098
Publisher version: http://www.ibpsa.org/proceedings/BS2017/BS2017_098...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: http://discovery.ucl.ac.uk/id/eprint/10063058
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