Available via license: CC BY-NC-ND 4.0
Content may be subject to copyright.
ScienceDirect
Available online at www.sciencedirect.com
Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2017) 000–000
www.elsevier.com/locate/procedia
1876-6102 © 2017The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.
The 15th International Symposium on District Heating and Cooling
Assessing the feasibility of using the heat demand-outdoor
temperature function for a long-term district heat demand forecast
I. Andrića,b,c*, A. Pinaa, P. Ferrãoa, J. Fournierb., B. Lacarrièrec, O. Le Correc
aIN+ Center for Innovation, Technology and Policy Research -Instituto Superior Técnico,Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal
bVeolia Recherche & Innovation,291 Avenue Dreyfous Daniel, 78520 Limay, France
cDépartement Systèmes Énergétiques et Environnement -IMT Atlantique, 4 rue Alfred Kastler, 44300 Nantes, France
Abstract
District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the
greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat
sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease,
prolonging the investment return period.
The main scope of this paper is to assess the feasibility of using the heat demand –outdoor temperature function for heat demand
forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665
buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district
renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were
compared with results from a dynamic heat demand model, previously developed and validated by the authors.
The results showed that when only weather change is considered, the margin of error could be acceptable for some applications
(the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation
scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered).
The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the
decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and
renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the
coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and
improve the accuracy of heat demand estimations.
© 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and
Cooling.
Keywords: Heat demand; Forecast; Climate change
Energy Procedia 122 (2017) 145–150
1876-6102 © 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientific committee of the CISBAT 2017 International Conference – Future Buildings &
Districts – Energy Efficiency from Nano to Urban Scale
10.1016/j.egypro.2017.07.329
10.1016/j.egypro.2017.07.329
© 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientic committee of the CISBAT 2017 International Conference – Future Buildings &
Districts – Energy Efciency from Nano to Urban Scale
1876-6102
Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2017) 000–000
www.elsevier.com/locate/procedia
1876-6102 © 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientific committee of the CISBAT 2017 International Conference – Future Buildings & Districts –
Energy Efficiency from Nano to Urban Scale.
CISBAT 2017 International Conference – Future Buildings & Districts – Energy Efficiency from
Nano to Urban Scale, CISBAT 2017 6-8 September 2017, Lausanne, Switzerland
Integrated modeling of CityGML and IFC for city/neighborhood
development for urban microclimates analysis
Steve Kardinal Jusufa, Benjamin Mousseaub, Gaelle Godfroida, Vincent Soh Jin Huib *
aEngineering Cluster, Singapore Institute of Technology, 138683 Singapore
bEDF Lab Singapore, 738973 Singapore
Abstract
Planning of the built environment requires at least two different levels of planning process and modelling. They can be categorized
as city/neighbourhood-scale and building-scale. The typical application for city/neighbourhood-scale is Geographic Information
System (GIS) and CityGML for the open source 3D format. Meanwhile, for building-scale, Building Information Modelling (BIM)
is used, and IFC format is the open source standard. In this paper, two case studies were presented, including visualization for a
web application and input model of the urban microclimate modelling STEVE Tool. We used Autodesk Revit and Graphisoft
Archicad in developing the building models as prototype for the transformation testing. The transformation system was developed
using Feature Manipulation Engine (FME), by Safe Software. FME allowed us to restructure the data model (IFC) and transform
it to the destination data format (CityGML).
© 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientific committee of the scientific committee of the CISBAT 2017 International
Conference – Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale.
Keywords: CityGML, IFC, Interoperability, Sktechup, FME
1. Introduction
The approach for GIS (CityGML format) and BIM (IFC format) modeling integration has recently emerged as an
important area of research. Extensive efforts are put on building models extensions, such as IFC4 and CityGML ADE,
* Corresponding Author: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, 138683 Singapore Tel.: +65 6592 1343; fax:
+65 6592 1190.
E-mail address: Stevekj@singaporetech.edu.sg
Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2017) 000–000
www.elsevier.com/locate/procedia
1876-6102 © 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientific committee of the CISBAT 2017 International Conference – Future Buildings & Districts –
Energy Efficiency from Nano to Urban Scale.
CISBAT 2017 International Conference – Future Buildings & Districts – Energy Efficiency from
Nano to Urban Scale, CISBAT 2017 6-8 September 2017, Lausanne, Switzerland
Integrated modeling of CityGML and IFC for city/neighborhood
development for urban microclimates analysis
Steve Kardinal Jusufa, Benjamin Mousseaub, Gaelle Godfroida, Vincent Soh Jin Huib *
aEngineering Cluster, Singapore Institute of Technology, 138683 Singapore
bEDF Lab Singapore, 738973 Singapore
Abstract
Planning of the built environment requires at least two different levels of planning process and modelling. They can be categorized
as city/neighbourhood-scale and building-scale. The typical application for city/neighbourhood-scale is Geographic Information
System (GIS) and CityGML for the open source 3D format. Meanwhile, for building-scale, Building Information Modelling (BIM)
is used, and IFC format is the open source standard. In this paper, two case studies were presented, including visualization for a
web application and input model of the urban microclimate modelling STEVE Tool. We used Autodesk Revit and Graphisoft
Archicad in developing the building models as prototype for the transformation testing. The transformation system was developed
using Feature Manipulation Engine (FME), by Safe Software. FME allowed us to restructure the data model (IFC) and transform
it to the destination data format (CityGML).
© 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientific committee of the scientific committee of the CISBAT 2017 International
Conference – Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale.
Keywords: CityGML, IFC, Interoperability, Sktechup, FME
1. Introduction
The approach for GIS (CityGML format) and BIM (IFC format) modeling integration has recently emerged as an
important area of research. Extensive efforts are put on building models extensions, such as IFC4 and CityGML ADE,
* Corresponding Author: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, 138683 Singapore Tel.: +65 6592 1343; fax:
+65 6592 1190.
E-mail address: Stevekj@singaporetech.edu.sg
Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2017) 000–000
www.elsevier.com/locate/procedia
1876-6102 © 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientific committee of the CISBAT 2017 International Conference – Future Buildings & Districts –
Energy Efficiency from Nano to Urban Scale.
CISBAT 2017 International Conference – Future Buildings & Districts – Energy Efficiency from
Nano to Urban Scale, CISBAT 2017 6-8 September 2017, Lausanne, Switzerland
Integrated modeling of CityGML and IFC for city/neighborhood
development for urban microclimates analysis
Steve Kardinal Jusufa, Benjamin Mousseaub, Gaelle Godfroida, Vincent Soh Jin Huib *
aEngineering Cluster, Singapore Institute of Technology, 138683 Singapore
bEDF Lab Singapore, 738973 Singapore
Abstract
Planning of the built environment requires at least two different levels of planning process and modelling. They can be categorized
as city/neighbourhood-scale and building-scale. The typical application for city/neighbourhood-scale is Geographic Information
System (GIS) and CityGML for the open source 3D format. Meanwhile, for building-scale, Building Information Modelling (BIM)
is used, and IFC format is the open source standard. In this paper, two case studies were presented, including visualization for a
web application and input model of the urban microclimate modelling STEVE Tool. We used Autodesk Revit and Graphisoft
Archicad in developing the building models as prototype for the transformation testing. The transformation system was developed
using Feature Manipulation Engine (FME), by Safe Software. FME allowed us to restructure the data model (IFC) and transform
it to the destination data format (CityGML).
© 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the scientific committee of the scientific committee of the CISBAT 2017 International
Conference – Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale.
Keywords: CityGML, IFC, Interoperability, Sktechup, FME
1. Introduction
The approach for GIS (CityGML format) and BIM (IFC format) modeling integration has recently emerged as an
important area of research. Extensive efforts are put on building models extensions, such as IFC4 and CityGML ADE,
* Corresponding Author: Engineering Cluster, Singapore Institute of Technology, 10 Dover Drive, 138683 Singapore Tel.: +65 6592 1343; fax:
+65 6592 1190.
E-mail address: Stevekj@singaporetech.edu.sg
Smart Cities (Urban Simulation, Big Data)
146 Steve Kardinal Jusuf et al. / Energy Procedia 122 (2017) 145–150
2 Steve Kardinal Jusuf et al. / Energy Procedia 00 (2017) 000–000
to realize meaningful integration. A unified model is under development for integrating the two standards; but the
integration sacrifices its semantics and cannot be applied to existing models. The key of the integration is merely data
conversion.
In this project, a practical approach for local Singapore context is being used to build a simple and straightforward
transition framework. The research approach uses case study models and the research focuses on understanding and
defining the rules of data semantics for seamless geometric transformation and semantic matching between the two
formats.
2. Literature review
CityGML is an XML-based encoding for the representation, storage, and exchange of virtual 3D city and landscape
models. CityGML is realized as an opened data model implemented as an application schema for the Geography
Markup Language 3 (GML3), the extendible international standard for spatial data exchange issued by Open
Geospatial Consortium (OGC) and ISO TC211. It provides a standard model and mechanism for describing 3D objects
with respect to their geometry, topology, semantics and appearance. It also includes generalization hierarchies between
thematic classes, aggregations, relations between objects, and spatial properties. [1,2,3].
IFC is defined as an object-based file format oriented specification for exchanging, sharing and re-using information
throughout the building industry’s life -cycle. It is an open file format developed and maintained by buildingSmart
(formerly the International Alliance for Interoperability). The goal of IFC is to specify a common language for building
industry technology that improves communication, productivity, delivery time, cost, and quality throughout the design,
construction and maintenance life cycle of building. IFC is used to assemble computer readable models that contain
data elements that represents parts of buildings and their relevant information. [1,3,4]
Despite the incompatibility between IFC and CityGML, various solutions have been tested to overcome this
problem. The first approach is to achieve integration through application domain extensions (ADEs) as presented by
Bahu and Nouvel [5] or T. Kolbe [6]. Other approaches to achieve integration are the unidirectional transformation of
IFC building models into CityGML, as presented by van Berlo and de Laat with their GeoBim extension [7] or El
mekway Östman and Hijazi with their Unified Building Model (UBM) [1,4,8,9].
Xun Xu, et al proposed the concept of City Information Modeling (CIM) as an information integrating framework
for BIM and GIS, comparing and mapping the data schema behind each other [10]. Yu and Teo studied the generation
of CityGML LOD models form BIM/IFC models by dividing geometric conversion into calculating node points’
coordinates and editing geometric information, followed by attribute conversion [11]. Amirebrahimi, et al approached
the integration of GIS and BIM through a data model to assess the damage of building due to flooding. They designed
a conceptual data model illustrating the required concepts and their relationships. An UML class diagram was
employed for developing and presenting the data model [12]. Geiger, et al integrated an IFC model in a CityGML
through a method for semantical and geometrical generalization of IFC models. The method is implemented as an
early prototype in the software platform IFCExplorer, developed at Karlsruhe Institute of Technology. [13]
Karan, et al used semantic web technology to ensure semantic interoperability between existing BIM and GIS tools
[14]. Kang and Hong proposed a BIM/GIS-based information Extract, Transform and Load (BG-ETL) software
architecture that separates geometrical information from that related to relevant properties [15]. Deng, et al used an
instance-based method to generate the mapping rules between IFC and CityGML and design a reference ontology and
CityGML ADE for schema mediation [16].
3. Research Objectives and Methodology
The objective of this research is to propose a spatial extract, transform and load (spatial ETL) workflow for the
effective integration of IFC, CityGML and Sketchup that could be use as model visualization for web application and
in a micro climate modelling perspective. Several effective ETL workflows are designed to define adequate
transformations between IFC and CityGML at different Level of Detail (LOD) and between IFC and Sketchup.
Two case studies were developed, including visualization for a web application for urban energy planning and an
input model of the urban microclimate modelling STEVE Tool.
Steve Kardinal Jusuf et al. / Energy Procedia 122 (2017) 145–150 147
2 Steve Kardinal Jusuf et al. / Energy Procedia 00 (2017) 000–000
to realize meaningful integration. A unified model is under development for integrating the two standards; but the
integration sacrifices its semantics and cannot be applied to existing models. The key of the integration is merely data
conversion.
In this project, a practical approach for local Singapore context is being used to build a simple and straightforward
transition framework. The research approach uses case study models and the research focuses on understanding and
defining the rules of data semantics for seamless geometric transformation and semantic matching between the two
formats.
2. Literature review
CityGML is an XML-based encoding for the representation, storage, and exchange of virtual 3D city and landscape
models. CityGML is realized as an opened data model implemented as an application schema for the Geography
Markup Language 3 (GML3), the extendible international standard for spatial data exchange issued by Open
Geospatial Consortium (OGC) and ISO TC211. It provides a standard model and mechanism for describing 3D objects
with respect to their geometry, topology, semantics and appearance. It also includes generalization hierarchies between
thematic classes, aggregations, relations between objects, and spatial properties. [1,2,3].
IFC is defined as an object-based file format oriented specification for exchanging, sharing and re-using information
throughout the building industry’s life -cycle. It is an open file format developed and maintained by buildingSmart
(formerly the International Alliance for Interoperability). The goal of IFC is to specify a common language for building
industry technology that improves communication, productivity, delivery time, cost, and quality throughout the design,
construction and maintenance life cycle of building. IFC is used to assemble computer readable models that contain
data elements that represents parts of buildings and their relevant information. [1,3,4]
Despite the incompatibility between IFC and CityGML, various solutions have been tested to overcome this
problem. The first approach is to achieve integration through application domain extensions (ADEs) as presented by
Bahu and Nouvel [5] or T. Kolbe [6]. Other approaches to achieve integration are the unidirectional transformation of
IFC building models into CityGML, as presented by van Berlo and de Laat with their GeoBim extension [7] or El
mekway Östman and Hijazi with their Unified Building Model (UBM) [1,4,8,9].
Xun Xu, et al proposed the concept of City Information Modeling (CIM) as an information integrating framework
for BIM and GIS, comparing and mapping the data schema behind each other [10]. Yu and Teo studied the generation
of CityGML LOD models form BIM/IFC models by dividing geometric conversion into calculating node points’
coordinates and editing geometric information, followed by attribute conversion [11]. Amirebrahimi, et al approached
the integration of GIS and BIM through a data model to assess the damage of building due to flooding. They designed
a conceptual data model illustrating the required concepts and their relationships. An UML class diagram was
employed for developing and presenting the data model [12]. Geiger, et al integrated an IFC model in a CityGML
through a method for semantical and geometrical generalization of IFC models. The method is implemented as an
early prototype in the software platform IFCExplorer, developed at Karlsruhe Institute of Technology. [13]
Karan, et al used semantic web technology to ensure semantic interoperability between existing BIM and GIS tools
[14]. Kang and Hong proposed a BIM/GIS-based information Extract, Transform and Load (BG-ETL) software
architecture that separates geometrical information from that related to relevant properties [15]. Deng, et al used an
instance-based method to generate the mapping rules between IFC and CityGML and design a reference ontology and
CityGML ADE for schema mediation [16].
3. Research Objectives and Methodology
The objective of this research is to propose a spatial extract, transform and load (spatial ETL) workflow for the
effective integration of IFC, CityGML and Sketchup that could be use as model visualization for web application and
in a micro climate modelling perspective. Several effective ETL workflows are designed to define adequate
transformations between IFC and CityGML at different Level of Detail (LOD) and between IFC and Sketchup.
Two case studies were developed, including visualization for a web application for urban energy planning and an
input model of the urban microclimate modelling STEVE Tool.
Steve Kardinal Jusuf et al. / Energy Procedia 00 (2017) 000–000 3
Autodesk Revit 2016 and Graphisoft Archicad 20 were utilized in developing the building models as prototype for
the transformation testing. Two apartment block models have been developed to be used as prototype. The
transformation system has been developed by using Feature Manipulation Engine (FME) 2016.1, by Safe Software.
By using FME, a workflow has been designed to restructure the data model (IFC) and transform it to the destination
data format (CityGML or Sketchup).
4. Transformation Processes and Results
4.1. Main Transformation 1– IFC to CityGML LOD2 Extrusion model with surfaces (see Fig. 1.)
Fig. 1. (a) “Slab” Block Apartment in Archicad Format; (b) “Slab” Block Apartment in CityGML LOD2 format.
A workflow was designed using FME, see Fig. 2. The 1st step was to read the source. As IFC source, only the
IfcSlab was loaded to create an external envelop of the building in CityGML. By importing the IfcSlab only, it reduced
the required processing time to generate the outer envelope of an extrusion block, based on the outermost feature of
the building. A BoundExtractor was then used to extract the coordinates of the cuboid bounds of the object, given by
_xmin, _xmax, _ymin, _ymax, _zmin and _zmax which covers the six corners. This bound was based on minimum
bound to enclose the 3D object in a 3D canvas space. Then a Testfilter was used to eliminate the unnecessary slab
elements from the IFCslab’s feature.
Fig. 2. IFC to CityGML LOD 2 Transformation Workflow
The 2nd step was to create a single mesh. A MeshCreator_IFC custom transformer was created which automated
the process of creating a solid object with surface mesh from the solid read from IFC files. This step created a merged
mesh, whereby the model can be enclosed in a single boundary cuboid for further processing in latter stages. Then, a
LODExtrusionBlock custom transformer was used to create a solid geometry with a fixed cross-sectional profile based
on the IfcSlab taken from the geometry of the feature, generated from the previous transformer. The height of the
building has been automatically determined by the entire mesh of the object from the previous transformer. A
3DRotator_Alignment custom transformer was then added allowing the user to specify the rotation of the 3D block
created and align the block to the origin. This allowed the coordinate to be set accurately in the latter
CRS_Transformer.
The 3rd step was to set the attributes. Valid geometry traits, such as a valid geometry type, feature roles, and a level
of detail for every surface were set. The geometry traits were used by the CityGML writer to create the correct and
148 Steve Kardinal Jusuf et al. / Energy Procedia 122 (2017) 145–150
4 Steve Kardinal Jusuf et al. / Energy Procedia 00 (2017) 000–000
valid geometry for the feature based on the CityGML Schema. The 4th step was to set the coordinate system and
surfaces. A CRS_Transformer custom transformer was created, simplifying the process of setting the coordinate
system. It re-projected the entire model to the correct coordinates. Then, a SurfaceSplitter_3DExtrusion custom
transformer was added. It allowed the different surfaces to be identified before writing to the CityGML. When writing
the CityGML format, the extruded LOD2 model clearly identified the Ground, Roof and Wall surfaces to form a
standardized CityGML model. This workflow could be combined to have several CityGML LOD2 files generated in
a single transformation.
It can, therefore, be loaded to the EDF City Platform and be used to simulate the energy consumption for the
individual buildings as seen in Fig. 3. EDF City Platform, a City Application and Visualization Interface (CAVI), is a
complex system modelling tool developed to help urban planners evaluate the trade-offs in master-planning scenarios,
from building to city scale assessments. It evaluates different indicators like energy, emissions, costs, transport, in an
integrated way.
Fig 3. Cavi Platform – Visualization of CityGML LOD2
4.2. Main Transformation 3– IFC to Sketchup (see Fig. 4.)
Fig. 4. (a) “Slab” Block Apartment in Revit Format; (b) “Slab” Block Apartment in Sketchup format.
A single IFC building could be easily converted to a Sketchup format using the IfcSlab with a tester to eliminate
the unnecessary slab elements (like stairs, roof or ground), then apply a SurfaceFootPrintReplacer and an extruder.
The challenge was to combine multiple buildings with road surfaces to form a neighborhood. A workflow has been
created to overcome that challenge, see Fig. 5. The workflow was a combination of the extrusion buildings (similar to
Fig. 2. workflow), and the roads features. The roads features were based on ESRI Shapefile format, and extracted
from OpenStreetMap. They were polylines, and were categorized into major roads, secondary roads, walkways, etc.
A conversion of the polylines to surfaces was required to visualize them in CityGML, Sketchup and other formats.
Steve Kardinal Jusuf et al. / Energy Procedia 122 (2017) 145–150 149
Steve Kardinal Jusuf et al. / Energy Procedia 00 (2017) 000–000 5
To create the roads surrounding the buildings of interest, the GIS shapefile is loaded into FME with the polylines.
Then a Bufferer transformer is used to create the boundary around the polylines, which forms the road surfaces. A
dissolver was used to combine the different buffers created around the polylines, by eliminating the boundaries. The
2DForcer was then used to replace the buffer area with a surface geometry. The custom MeshCreator_IFC was used
to create the surface meshes required to form the surface geometry of the road. Finally, the AttributeCreator was used
to define the parameters for CityGML. For roads, we displayed them as a generic city object, with a LOD2 surface.
Fig. 5. Workflow of multiple buildings from IFC and Shapefile to CityGML and KML
Fig. 6. STEVE Tool Application
150 Steve Kardinal Jusuf et al. / Energy Procedia 122 (2017) 145–150
6 Steve Kardinal Jusuf et al. / Energy Procedia 00 (2017) 000–000
The neighborhood created from simplifying the IFC and the road surfaces, could be displayed in various
applications suitable for further manipulation and web viewing, like Google Earth or STEVE tool (Fig. 6.). The results
presented in this research showed an effective integration of BIM to CityGML/Sketchup including visualization for a
web application and input model of urban microclimate modelling STEVE Tool.
5. Conclusion and future work
This paper presents a mapping framework between IFC and CityGML/Sketchup. Different levels of details and
use cases have also been considered. An Extract, Transform and Load (ETL) software, FME, has been used to generate
a transformation schema to achieve a complete and accurate transformation in different LOD.
Further work could be done to automate the entire conversion and extend the application range, as the study only
considered buildings models and roads and other kinds of special or external features, such as MEP features, site and
so on, were not considered.
Acknowledgement: This work is supported by SIT Innovation Grant WBS: R-MNR-E103-A010
References
[1] El-Mekawy Mohamed, Östman Anders, and Hijazi Ihab. An Evaluation of IFC-CityGML Unidirectional conversion, International Journal of
Advances Computer Science and Application (IJACSA) 2012, Vol. 3, No. 5.
[2] CityGML website - Whats is CityGML? http://www.citygml.org/index.php?id=1523 (accessed on 25 May 2016).
[3] Gröger Gerhard, Plümer Luz. CityGML. Interoperable semantic 3D city models, ISPRS Journal of Photogrammetry and Remote Sensing
2012, 71 pp12-33.
[4] El-Mekawy Mohamed. Integrating BIM and GIS for 3D City Modelling – The case of IFC CityGML Licentiate Thesis – Geoinformatics
division – Department of Urban Planning and Environment – Royal Institute of Technology – and Stockholm – Sweden 2013.
[5] Bahu Jean-Marie, Nouvel Romain. Development of the CityGML ADE Energy, INSPIRE GWP 2015, Lisbon, 2015.
[6] Kolbe Thomas H. CityGML – 3D Geospatial and Semantic Modelling of Urban Structures, GITA/OGC Emerging Technology Summit 4
Washington D.C, 2007.
[7] van Berlo Léon, de Laat Ruben. Integration of BIM and GIS: The development of the CityGML GeoBIM extension, 5th International 3D
GeoInfo Conference, Berlin, Germany, 2011.
[8] El-Mekawy Mohamed, Östman Anders, and Hijazi Ihab. A Unified Building Model for 3D Urban GIS, ISPRS Int. J. Geo-Inf. 1, 120-145;
doi:10.3390/ijgi1020120, 2012.
[9] El-Mekawy Mohamed and Östman Anders. Semantic Mapping: An ontology engineering method for integrating buildings models in IFC
and CityGML, 3rd ISDE DIGITAL EARTH SUMMIT, 12-14 June, 2010, Nessebar, Bulgaria, 2010.
[10] Xun Xu, Lieyun Ding, Hanbin Luo, Ling Ma. From building information modeling to city information modeling, Journal of Informati on
Technology in Construction (ITcon), Special Issue BIM Cloud-Based Technology in the AEC Sector: Present Status and Future Trends,
2014, Vol. 19, pg. 292-307, http://www.itcon.org/2014/17.
[11] Yu Sz-Cheng, Teo Tee-Ann. The Generalization of BIM/IFC model for multi-scale 3D GIS/CityGML models, Asian Association on remote
sensing, 2014, http://a-a-r-s.org/acrs/index.php/acrs/acrs-overview/proceedings-1?view=publication&task=show&id=1393 (accessed 31
May 2016).
[12] Amirebrahimi Sam, Rajabifard Abbas, Mendis Priyan, Ngo Tuan. A Data Model for Integrating GIS and BIM for Assessment and 3D
Visualization of Flood Damage to Building, Research @Locate’15, Brisbane, 2015.
[13] Geiger Andreas, Benner Joachim and Haefele Kark Heinz. Generalization of 3D IFC Buildings Models. 3D Geoinformation Science, pp19-
35, Springer International Publishing, 2015.
[14] Karan Ebrahim P., Irizarry Javier and Haymaker John. BIM and GIS Integration and Interoprability Based on Semantic Web Technology,
Journal of Computing in Civil Engineering, July 2015.
[15] Kang Tae Wook and Hong Chand Hee. A study on software architecture for effective BIM/GIS-based facility management data integration,
Automation in Construction 54, 2015, pp25-38.
[16] Deng Yichaun, Cheng Jack C.P., Anumba Chimay. Mapping between BIM and 3D GIS in different level of details using schema mediation
and instance comparison, Automation in Construction 37, 2016, pp1-21.