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

Journal article (2021)

Authors

C.A. León Sánchez Urban Data Science - Architecture and the Built Environment
D. Giannelli Urban Data Science - Architecture and the Built Environment
G. Agugiaro Urban Data Science - Architecture and the Built Environment
J.E. Stoter Urban Data Science - Architecture and the Built Environment
Research Group
Urban Data Science (Architecture and the Built Environment) (TU Delft)
Copyright: © 2021 C.A. León Sánchez, D. Giannelli, G. Agugiaro, J.E. Stoter
DOI: https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-69-2021
More Info
expand_more

Published Date

2021

Language

English

Faculty

Architecture and the Built Environment

Department

Urbanism

Research Group

Urban Data Science

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.