Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

RECONCILING CITY MODELS with BIM in KNOWLEDGE GRAPHS : A FEASIBILITY STUDY of DATA INTEGRATION for SOLAR ENERGY SIMULATION

Huang, W. LU ; Olsson, P. O. LU ; Kanters, J. LU and Harrie, L. LU orcid (2020) 3rd BIM/GIS Integration Workshop and 15th 3D GeoInfo Conference In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 6. p.93-99
Abstract

Solar energy simulations are used to quantify the potential of the passive use (daylight, solar gains) and the active use (photovoltaics and solar thermal) of solar energy. The simulations can be performed at different scales e.g. buildings, neighbourhoods and cities, with different requirements on the data. For example, for the neighbourhood simulations we need simplified building geometries that can be retrieved from city models, and window information that can be extracted from BIM models (as in many cases window information is missing in city models). In this context, city models and BIM need to be integrated and reconciled. In this paper, we investigate two approaches to integrate and retrieve such information in a case study,... (More)

Solar energy simulations are used to quantify the potential of the passive use (daylight, solar gains) and the active use (photovoltaics and solar thermal) of solar energy. The simulations can be performed at different scales e.g. buildings, neighbourhoods and cities, with different requirements on the data. For example, for the neighbourhood simulations we need simplified building geometries that can be retrieved from city models, and window information that can be extracted from BIM models (as in many cases window information is missing in city models). In this context, city models and BIM need to be integrated and reconciled. In this paper, we investigate two approaches to integrate and retrieve such information in a case study, where the BIM data is stored in IFC and the city model in CityGML (LOD2). The first approach is to perform a schema matching in an ETL tool, so as to convert and import window information from the IFC file into the CityGML model to create a LOD2-3 building model. We also investigate an alternative avenue, namely a semantic web approach, in which both the BIM and city models are transformed into knowledge graphs (linked data). City models and BIM utilize their respective but interlinked domain ontologies. Particularly, two ontologies are investigated for BIM data, i.e., the ifcOWL ontology and the building topology ontology (BOT). This paper compares different paths of such integrative data retrieval, as well as discloses the gaps mainly with the semantic web approach to further unlock its potential.

(Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
series title
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
volume
6
edition
4/W1
pages
7 pages
publisher
Copernicus GmbH
conference name
3rd BIM/GIS Integration Workshop and 15th 3D GeoInfo Conference
conference location
London, United Kingdom
conference dates
2020-09-07 - 2020-09-11
external identifiers
  • scopus:85094141643
ISSN
2194-9042
DOI
10.5194/isprs-annals-VI-4-W1-2020-93-2020
language
English
LU publication?
yes
id
47651676-83a3-402b-9a4d-4daf9c8318a5
date added to LUP
2020-11-10 09:48:49
date last changed
2022-05-24 02:14:27
@inproceedings{47651676-83a3-402b-9a4d-4daf9c8318a5,
  abstract     = {{<p>Solar energy simulations are used to quantify the potential of the passive use (daylight, solar gains) and the active use (photovoltaics and solar thermal) of solar energy. The simulations can be performed at different scales e.g. buildings, neighbourhoods and cities, with different requirements on the data. For example, for the neighbourhood simulations we need simplified building geometries that can be retrieved from city models, and window information that can be extracted from BIM models (as in many cases window information is missing in city models). In this context, city models and BIM need to be integrated and reconciled. In this paper, we investigate two approaches to integrate and retrieve such information in a case study, where the BIM data is stored in IFC and the city model in CityGML (LOD2). The first approach is to perform a schema matching in an ETL tool, so as to convert and import window information from the IFC file into the CityGML model to create a LOD2-3 building model. We also investigate an alternative avenue, namely a semantic web approach, in which both the BIM and city models are transformed into knowledge graphs (linked data). City models and BIM utilize their respective but interlinked domain ontologies. Particularly, two ontologies are investigated for BIM data, i.e., the ifcOWL ontology and the building topology ontology (BOT). This paper compares different paths of such integrative data retrieval, as well as discloses the gaps mainly with the semantic web approach to further unlock its potential.</p>}},
  author       = {{Huang, W. and Olsson, P. O. and Kanters, J. and Harrie, L.}},
  booktitle    = {{ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences}},
  issn         = {{2194-9042}},
  language     = {{eng}},
  month        = {{09}},
  pages        = {{93--99}},
  publisher    = {{Copernicus GmbH}},
  series       = {{ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}},
  title        = {{RECONCILING CITY MODELS with BIM in KNOWLEDGE GRAPHS : A FEASIBILITY STUDY of DATA INTEGRATION for SOLAR ENERGY SIMULATION}},
  url          = {{http://dx.doi.org/10.5194/isprs-annals-VI-4-W1-2020-93-2020}},
  doi          = {{10.5194/isprs-annals-VI-4-W1-2020-93-2020}},
  volume       = {{6}},
  year         = {{2020}},
}