TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS

<p>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...

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Main Authors: C. León-Sánchez, D. Giannelli, G. Agugiaro, J. Stoter
Format: Article
Language:English
Published: Copernicus Publications 2021-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W1-2021/69/2021/isprs-archives-XLVI-4-W1-2021-69-2021.pdf
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author C. León-Sánchez
D. Giannelli
G. Agugiaro
J. Stoter
author_facet C. León-Sánchez
D. Giannelli
G. Agugiaro
J. Stoter
author_sort C. León-Sánchez
collection DOAJ
description <p>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.</p><p>The paper reports on the proposed workflow, the issues encountered, some solutions implemented, and what the next steps will be.</p>
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spelling doaj.art-8b617947c5b447f5a9f30f09c6175b602022-12-21T18:27:45ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-09-01XLVI-4-W1-2021697610.5194/isprs-archives-XLVI-4-W1-2021-69-2021TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGSC. León-Sánchez0D. Giannelli1G. Agugiaro2J. Stoter33D Geoinformation group, Delft University of Technology, Faculty of the Built Environment and Architecture, Department of Urbanism, Julianalaan 134, Delft 2628BL, The Netherlands3D Geoinformation group, Delft University of Technology, Faculty of the Built Environment and Architecture, Department of Urbanism, Julianalaan 134, Delft 2628BL, The Netherlands3D Geoinformation group, Delft University of Technology, Faculty of the Built Environment and Architecture, Department of Urbanism, Julianalaan 134, Delft 2628BL, The Netherlands3D Geoinformation group, Delft University of Technology, Faculty of the Built Environment and Architecture, Department of Urbanism, Julianalaan 134, Delft 2628BL, The Netherlands<p>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.</p><p>The paper reports on the proposed workflow, the issues encountered, some solutions implemented, and what the next steps will be.</p>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W1-2021/69/2021/isprs-archives-XLVI-4-W1-2021-69-2021.pdf
spellingShingle C. León-Sánchez
D. Giannelli
G. Agugiaro
J. Stoter
TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS
title_full TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS
title_fullStr TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS
title_full_unstemmed TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS
title_short TESTING THE NEW 3D BAG DATASET FOR ENERGY DEMAND ESTIMATION OF RESIDENTIAL BUILDINGS
title_sort testing the new 3d bag dataset for energy demand estimation of residential buildings
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W1-2021/69/2021/isprs-archives-XLVI-4-W1-2021-69-2021.pdf
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AT jstoter testingthenew3dbagdatasetforenergydemandestimationofresidentialbuildings