Testing the new 3D bag dataset for energy demand estimation of residential buildings

Journal Article (2021)
Author(s)

Camilo León Sánchez (TU Delft - Urban Data Science)

Denis Giannelli (TU Delft - Urban Data Science)

Giorgio Agugiaro (TU Delft - Urban Data Science)

J. Stoter (TU Delft - Urban Data Science)

Research Group
Urban Data Science
Copyright
© 2021 C.A. León Sánchez, D. Giannelli, G. Agugiaro, J.E. Stoter
DOI related publication
https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-69-2021
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 C.A. León Sánchez, D. Giannelli, G. Agugiaro, J.E. Stoter
Research Group
Urban Data Science
Issue number
4/W1-2021
Volume number
46
Pages (from-to)
69-76
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The 3D BAG v. 2.0 dataset has been recently released: it is a country-wide dataset containing all buildings in the Netherlands, modelled in multiple LoDs (LoD1.2, LoD1.3 and LoD2.2). In particular, the LoD2.2 allows differentiating between different thematic surfaces composing the building envelope. This paper describes the first steps to test and use the 3D BAG 2.0 to perform energy simulations and characterise the energy performance of the building stock. Two well-known energy simulation software packages have been tested: SimStadt and CitySim Pro. Particular care has been paid to generate a suitable, valid CityGML test dataset, located in the municipality of Rijssen-Holten in the central-eastern part of the Netherlands, that has been then used to test the energy simulation tools. Results from the simulation tools have been then stored into the 3D City Database, additionally extended to deal with the CityGML Energy ADE. The whole workflow has been checked in order to guarantee a lossless dataflow. The paper reports on the proposed workflow, the issues encountered, some solutions implemented, and what the next steps will be.