Title
On the influence of party walls for urban energy modelling
Author
Agugiaro, G.
Zwamborn, A.
Tigchelaar, C.
Matthijssen, E.
León-Sánchez, C.
van der Molen, F.
Stoter, J.
Contributor
wang C.C.Shirowzhan, S. (editor)
Publication year
2022
Abstract
In the last 15 years semantic 3D city models have seen a steady growth in terms of creation and adoption. Many cities world-wide have now at least one city model which can be used for several applications. Energy- and sustainability-related topics are among those that have experienced a noteworthy increase of interest from the Geomatics community. 3D city models have become a steady component of Urban Energy Modelling, in which bottom-up approaches are developed to assess, for example, the energy efficiency of the building stock and to explore different scenarios of building refurbishment. Within this context, this paper focuses on investigating how much party walls can contribute to the energy demand estimation of a building. For this reason, two approaches to compute party walls are described and compared. The nature and the magnitude of their differences, as well as their possible impact on downstream applications, are considered in order to shed light on whether discrepancies in the amount of computed party wall area might lead to significant differences in terms energy demand of the residential building stock. The case study area is located in the Netherlands and encompasses the municipality of Rijssen-Holten.
Subject
3D BAG
CityGML
Hestia
Party walls
Energy management
Semantics
Three dimensional computer graphics
Walls (structural partitions)
3d BAG
City model
Energy
Energy demands
Energy model
Hestium
Party wall
Urban energy
Urban energy modeling
Energy efficiency
To reference this document use:
http://resolver.tudelft.nl/uuid:0a88ca93-418a-46b7-a8d9-11fb0b2c2a96
TNO identifier
977939
Publisher
International Society for Photogrammetry and Remote Sensing
ISSN
1682-1750
Source
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 7th International Conference on Smart Data and Smart Cities, SDSC 2022, 19 October 2022 through 21 October 2022, 9-16
Document type
conference paper