SlideShare ist ein Scribd-Unternehmen logo
1 von 30
Downloaden Sie, um offline zu lesen
Development of the
CityGML ADE Energy
INSPIRE GWF 2015
Lisbon
25.05.2015
Jean-Marie Bahu – EIFER
Romain Nouvel – HFT Stuttgart
Structure
2
• Introduction
• Our approach
• Energy ADE development process
• Energy ADE content
• Applications
• Conclusion and outlooks
Urban energy modelling concept
3
• Urban energy simulation consists in multi-dimensions:
• Multiple energy carriers and end-uses
• Local and central energy transformation, storage and distribution
• Multiple system dimensions: spatial and temporal
• Multiple interactions (building, microclimate, etc.)
 Specific requirements (building, infrastructure, etc.)
Reference: BAHU et al., 2013
Starting point
4
• No widely applicable open model standard exists until now
for Urban Energy Modelling (like IFC or gbXML for buildings)
• CityGML, open standard for exchanging 3D urban data,
doesn’t contain any energy-related objects or attributes.
• CityGML is extensible through ADEs.
• Urban energy tool developers (CitySim, UMI) have
developed their own tailor-made urban information model
Our Objectives
5
• Store relevant energy-related data in a common open city
data model
• …to offer data exchange and interoperability
possibilities between urban energy stakeholders and tools
• …as well as with other expert fields (acoustics, statics).
Combine data collection effort!
 Energy ADE for CityGML
Stakes
6
• Flexibility: Following the philosophy of CityGML and its
Levels of Detail (LoDs)
• Compatibility: Allowing to be used in different urban
energy platforms for different analysis methods, using
data from different data specification standards
• Modularity: connection with other CityGML ADEs, use
and extension of ADE Energy in other fields
A participative development process
7
• Participative development in an international expert group
from 12 organisations
A participative development process
8
• Representing the development of 6 urban energy modelling
and simulation tools
CURTIS
CityGML ADE concept
9
• What is an ADE?
• Extension of the CityGML model for specific application domains
• Formal specification in separate XML schemas referencing the
CityGML schemas
• 2 types of ADEs:
• Extension of existing CityGML feature types
• Definition of new feature types
• Reference document: Modeling an application domain extension of CityGML in UML
- OGC Best Practice, 2014
Rule-based &
automated way
Domain experts
 UML  ADE XML Schema
CityGML
Consensus
ADE concept
Preliminary development phase
10
• Study of existing data specification projects
concerning Building energy at urban scale
• List of Use cases (simulation and modelling) from the
different partners
• List of requirements enabling these Use cases
• Development of class diagramms
INSPIRE
11
• Among the 34 spatial themes, INSPIRE
proposes data specifications for building.
• INSPIRE Building model
• 4 profiles (Core2D, Core3D, Extended2D, Extended3D)
• Energy related attributes:
• Building/BuildingPart (e.g. connectionToElectricity,
heatingSource, heatingSystem, energyPerformance, materials, etc.)
• Wall-/Roof Surfaces (e.g. materialOfRoof/Façade)
At the interface of Big Geo Data and urban analysis tools
CityGML Energy ADE
INSPIRE Data specifications BEDES
Urban analysis tools
Available on-site data
Time table
13
Stuttgart (May 2014) – Kick-off
• Gathering partners
• Organisation of development in Working group
• Requirements collection, identification of other related initiatives
Karlsruhe (Oct 2014)
• Class diagramms of the different modules
• Unification in one XML scheme
• Organisation of revision process on GitHub repository
Nice (May 2015)
• Integration of Energy ADE Scheme in softwares
• Testing phase on concrete projects
• Preparation of a documentation, code list definition
Organisation of the revision process
14
• A participative and iterative process
• Organized in Working Groups related to the module
structure
• Issues signaled on GitHub, discussed and centralized by
the Working Group coordinators
• An “XML team” in charge of updating the XML Schema.
A modular structure
15
Structured around an Energy ADE core + 3 modules:
• Construction and Material
• Occupancy
• Energy and Systems
Modules can be potentially used and extended
in other fields and applications
ADE Energy core
16
• Contains thermal building
objects required for building
energy simulation
• integrated to the CityGML
standard schema through its
AbstractBuilding,
BoundarySurface and Opening
classes.
• Compatible with the 4 LoDs
Construction and Materials
17
• Contains physical characterization of
building construction elements
• Compatible with static energy
balance (U-Values) AND complex
dynamic heat simulation (l, r, cp).
• May be used and further extended for
multi-field analysis (e.g. statics,
acoustics).
Occupancy
18
• Contains building usage
characterization including HVAC
operation, ownership and occupancy
information
• Temporal variables (e.g. occupancy
rate or operation schedules) can be
modelled with different LoDs
• May be used and further extended for
multi-field analysis (e.g. socio-
economics).
Energy and Systems
19
• Contains energy amounts
(demand, supply, sources)
• …and energy systems
information (conversion,
distribution, storage systems)
• …related to the different end use
types (e.g. space heating, cooling,
DHW)
• Energy amounts may be associated
to any CityObject
Time series
20
• Inspired from other ADE (WaterML), applied to Energy Amount
• Models both regular and irregular time series
• May store both simulation results and metering data for
comparison purpose
Application and test cases
21
• Heating demand calculation
• (Pre-)certification of
energy performance
SnapshotSimStadt,HFTStuttgart.
napshotEnergieatlasBerlin,TUMünchen.
Application and test cases
23
• Dependencies Urban forms / Energy demand
Source: LSE Cities, EIFER : Cities and Energy, Urban Morphology and Heat Energy Demand (2014)
24
Application and test cases
• Energy saving potentials and
refurbishment scenarios
• CO2 emissions / Primary Energy
Snapshots SimStadt, HFT Stuttgart.
25
• Solar and renewable potential studies
Application and test cases
Snapshots SimStadt, HFT Stuttgart.
Irradiance potential
on roofs and facades
Roof suitability for
Photovoltaic panels
26
• PV cadaster based on 3D City models
Application and test cases
Snapshots EIFER.
27
• Micro-climate studies
Application and test cases
SnapshotsCitySim,EPFL
28
• Heat density map
• Support for District heating network layout
Application and test cases
SnapshotSimStadt,HFTStuttgart.
apshotSimStadt,HFTStuttgart.
Applications and test cases
29
CityGML + Energy ADE has the potential to enable
many further urban energy analyses
• Impact of occupancy / behavior
• Comparison of actual and standard consumption
• Daylighting analysis
• Impact of energy-efficient measures
• Life cycle analysis
• ….
Collaboration with CityGML 3.0 and INSPIRE Building
development teams to harmonize some module/concepts
• Materials
• Time Series
• Metadata
• ….
Collaboration with CityGML 3.0 development team
30
WP3
LOD concept
WP9
Other construct.
WP6
Time series
WP10
Utility networks
WP7
Materials
WP12
Metadata
WP8
Land administrat.
WP13
Stories
CityGML 3.0 Work Packages
Conclusion and outlooks
31
• After 1 year of collaborative development, the first version
Energy ADE has been released, freely available online
http://www.sig3d.org/citygml/2.0/energy/
• Guidelines soon available for Energy ADE users (data
providers and urban tool developers)
• Test phase on urban energy analyses has just started
• We are very open to feedbacks and further active developers

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

S.1.c Building Energy Performance Estimation
S.1.c Building Energy Performance EstimationS.1.c Building Energy Performance Estimation
S.1.c Building Energy Performance Estimation
 
S.2.e Specifications for Data Ingestion via Sunshine FTP
S.2.e Specifications for Data Ingestion via Sunshine FTPS.2.e Specifications for Data Ingestion via Sunshine FTP
S.2.e Specifications for Data Ingestion via Sunshine FTP
 
S.2.i Suggestion Service
S.2.i Suggestion ServiceS.2.i Suggestion Service
S.2.i Suggestion Service
 
S.2.f Specifications for Data Ingestion via Green Button
S.2.f Specifications for Data Ingestion via Green ButtonS.2.f Specifications for Data Ingestion via Green Button
S.2.f Specifications for Data Ingestion via Green Button
 
Aitor Elorriaga, Institut für Angewandte Systemtechnik Bremen, Germany.
Aitor Elorriaga, Institut für Angewandte Systemtechnik Bremen, Germany.Aitor Elorriaga, Institut für Angewandte Systemtechnik Bremen, Germany.
Aitor Elorriaga, Institut für Angewandte Systemtechnik Bremen, Germany.
 
S 2.1 Introduction to Scenario 2
S 2.1 Introduction to Scenario 2S 2.1 Introduction to Scenario 2
S 2.1 Introduction to Scenario 2
 
S.3.4 Security and Privacy
S.3.4 Security and PrivacyS.3.4 Security and Privacy
S.3.4 Security and Privacy
 
Gašper Stegnar, Jožef Stefan Institute, Ljubljana, Slovenia.
Gašper Stegnar, Jožef Stefan Institute, Ljubljana, Slovenia.Gašper Stegnar, Jožef Stefan Institute, Ljubljana, Slovenia.
Gašper Stegnar, Jožef Stefan Institute, Ljubljana, Slovenia.
 
Gonçal Costa, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Gonçal Costa, ARC Engineering and Architecture La Salle, Barcelona, Spain.Gonçal Costa, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Gonçal Costa, ARC Engineering and Architecture La Salle, Barcelona, Spain.
 
Benjamín González, CYPE Ingenieros, S.A., Alicante, Spain.
Benjamín González, CYPE Ingenieros, S.A., Alicante, Spain.Benjamín González, CYPE Ingenieros, S.A., Alicante, Spain.
Benjamín González, CYPE Ingenieros, S.A., Alicante, Spain.
 
S.2.h Meter Data Management Service
S.2.h Meter Data Management ServiceS.2.h Meter Data Management Service
S.2.h Meter Data Management Service
 
S.1.4 Model for Energy Map Calculation
S.1.4 Model for Energy Map CalculationS.1.4 Model for Energy Map Calculation
S.1.4 Model for Energy Map Calculation
 
Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.
 
Álvaro Sicilia, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Álvaro Sicilia, ARC Engineering and Architecture La Salle, Barcelona, Spain.Álvaro Sicilia, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Álvaro Sicilia, ARC Engineering and Architecture La Salle, Barcelona, Spain.
 
Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.
Leandro Madrazo, ARC Engineering and Architecture La Salle, Barcelona, Spain.
 
S.3.1 Introduction to Scenario 3
S.3.1 Introduction to Scenario 3S.3.1 Introduction to Scenario 3
S.3.1 Introduction to Scenario 3
 
S.1.5 Map4Data App
S.1.5 Map4Data AppS.1.5 Map4Data App
S.1.5 Map4Data App
 
IES Faculty - Integration of IES with Revit
IES Faculty - Integration of IES with RevitIES Faculty - Integration of IES with Revit
IES Faculty - Integration of IES with Revit
 
Vehicle to Grid ecosystem at scale: Utrecht case study
Vehicle to Grid ecosystem at scale: Utrecht case studyVehicle to Grid ecosystem at scale: Utrecht case study
Vehicle to Grid ecosystem at scale: Utrecht case study
 
GIS Based Power Distribution System: A Case study for the Junagadh City
GIS Based Power Distribution System: A Case study for the Junagadh CityGIS Based Power Distribution System: A Case study for the Junagadh City
GIS Based Power Distribution System: A Case study for the Junagadh City
 

Ähnlich wie SUNSHINE Project: Romain Nouvel, Jean Marie Bahu

Urban Analytics & Information Fusion with CityGML
Urban Analytics & Information Fusion with CityGMLUrban Analytics & Information Fusion with CityGML
Urban Analytics & Information Fusion with CityGML
Technische Universität München
 

Ähnlich wie SUNSHINE Project: Romain Nouvel, Jean Marie Bahu (20)

Solar energy ongoing project by Magda Cayón
Solar energy ongoing project by Magda CayónSolar energy ongoing project by Magda Cayón
Solar energy ongoing project by Magda Cayón
 
20150515 gavin long
20150515 gavin long20150515 gavin long
20150515 gavin long
 
IRIS Webinar: How can software support smart cities and energy projects?
IRIS Webinar: How can software support smart cities and energy projects? IRIS Webinar: How can software support smart cities and energy projects?
IRIS Webinar: How can software support smart cities and energy projects?
 
Energy Benchmarking in DC
Energy Benchmarking in DCEnergy Benchmarking in DC
Energy Benchmarking in DC
 
bim & energy analysis
bim & energy analysisbim & energy analysis
bim & energy analysis
 
Urban Analytics & Information Fusion with CityGML
Urban Analytics & Information Fusion with CityGMLUrban Analytics & Information Fusion with CityGML
Urban Analytics & Information Fusion with CityGML
 
CIEMAT. Plataforma Solar de Almeria
CIEMAT. Plataforma Solar de AlmeriaCIEMAT. Plataforma Solar de Almeria
CIEMAT. Plataforma Solar de Almeria
 
Integrating renewables and enabling flexibility of households and buildings
Integrating renewables and enabling flexibility of households and buildingsIntegrating renewables and enabling flexibility of households and buildings
Integrating renewables and enabling flexibility of households and buildings
 
A new approach to building and using global TIMES models
A new approach to building and using global TIMES modelsA new approach to building and using global TIMES models
A new approach to building and using global TIMES models
 
IES Faculty - Big Data in Building Services
IES Faculty - Big Data in Building ServicesIES Faculty - Big Data in Building Services
IES Faculty - Big Data in Building Services
 
CIM 2 Modelica
CIM 2 ModelicaCIM 2 Modelica
CIM 2 Modelica
 
Building Simulation, Its Role, Softwares & Their Limitations
Building Simulation, Its Role, Softwares & Their LimitationsBuilding Simulation, Its Role, Softwares & Their Limitations
Building Simulation, Its Role, Softwares & Their Limitations
 
ICT solutions for collecting and analysing data of energy consumption - Damir...
ICT solutions for collecting and analysing data of energy consumption - Damir...ICT solutions for collecting and analysing data of energy consumption - Damir...
ICT solutions for collecting and analysing data of energy consumption - Damir...
 
Jordi Macià, EURECAT Technology Centre of Catalonia, Barcelona, Spain
Jordi Macià, EURECAT Technology Centre of Catalonia, Barcelona, SpainJordi Macià, EURECAT Technology Centre of Catalonia, Barcelona, Spain
Jordi Macià, EURECAT Technology Centre of Catalonia, Barcelona, Spain
 
Gothenburg: a leading smart city - IRIS case study
Gothenburg: a leading smart city - IRIS case studyGothenburg: a leading smart city - IRIS case study
Gothenburg: a leading smart city - IRIS case study
 
Standard geodata models for Energy Performance of Buildings: experiences from...
Standard geodata models for Energy Performance of Buildings: experiences from...Standard geodata models for Energy Performance of Buildings: experiences from...
Standard geodata models for Energy Performance of Buildings: experiences from...
 
Modelling loads and responses in project SGEM (Smart Grids and Energy Markets)
Modelling loads and responses in project SGEM (Smart Grids and Energy Markets)Modelling loads and responses in project SGEM (Smart Grids and Energy Markets)
Modelling loads and responses in project SGEM (Smart Grids and Energy Markets)
 
Integrating Energy Efficiency into Advanced Manufacturing of Buildings
Integrating Energy Efficiency into Advanced Manufacturing of BuildingsIntegrating Energy Efficiency into Advanced Manufacturing of Buildings
Integrating Energy Efficiency into Advanced Manufacturing of Buildings
 
Soft-linking of the TIMES-Italy model to a power and gas system model
Soft-linking of the TIMES-Italy model to a power and gas system modelSoft-linking of the TIMES-Italy model to a power and gas system model
Soft-linking of the TIMES-Italy model to a power and gas system model
 
ETSAP TIAM Documentation and Validation
ETSAP TIAM Documentation and ValidationETSAP TIAM Documentation and Validation
ETSAP TIAM Documentation and Validation
 

Mehr von SUNSHINEProject (9)

Sunshine lamia greek native language
Sunshine lamia greek native languageSunshine lamia greek native language
Sunshine lamia greek native language
 
S.3.l Lamp Control Service
S.3.l Lamp Control ServiceS.3.l Lamp Control Service
S.3.l Lamp Control Service
 
S.3.k Security Layer
S.3.k Security LayerS.3.k Security Layer
S.3.k Security Layer
 
SUNSHINE Project: Bart delathouwer
SUNSHINE Project: Bart delathouwerSUNSHINE Project: Bart delathouwer
SUNSHINE Project: Bart delathouwer
 
SUNSHINE Project: Paolo Conci
SUNSHINE Project: Paolo ConciSUNSHINE Project: Paolo Conci
SUNSHINE Project: Paolo Conci
 
Sunshine Project: Energy Maps Trenta
Sunshine Project: Energy Maps TrentaSunshine Project: Energy Maps Trenta
Sunshine Project: Energy Maps Trenta
 
S.2.4 Validation Activities for Scenario 2 (case Ferrara)
S.2.4 Validation Activities for Scenario 2 (case Ferrara)S.2.4 Validation Activities for Scenario 2 (case Ferrara)
S.2.4 Validation Activities for Scenario 2 (case Ferrara)
 
SUNSHINE Project - Scenario 2 (HR)
SUNSHINE Project - Scenario 2 (HR)SUNSHINE Project - Scenario 2 (HR)
SUNSHINE Project - Scenario 2 (HR)
 
SUNSHINE Project - Map4data App (IT)
SUNSHINE Project - Map4data App (IT)SUNSHINE Project - Map4data App (IT)
SUNSHINE Project - Map4data App (IT)
 

Kürzlich hochgeladen

Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
 

Kürzlich hochgeladen (20)

The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 

SUNSHINE Project: Romain Nouvel, Jean Marie Bahu

  • 1. Development of the CityGML ADE Energy INSPIRE GWF 2015 Lisbon 25.05.2015 Jean-Marie Bahu – EIFER Romain Nouvel – HFT Stuttgart
  • 2. Structure 2 • Introduction • Our approach • Energy ADE development process • Energy ADE content • Applications • Conclusion and outlooks
  • 3. Urban energy modelling concept 3 • Urban energy simulation consists in multi-dimensions: • Multiple energy carriers and end-uses • Local and central energy transformation, storage and distribution • Multiple system dimensions: spatial and temporal • Multiple interactions (building, microclimate, etc.)  Specific requirements (building, infrastructure, etc.) Reference: BAHU et al., 2013
  • 4. Starting point 4 • No widely applicable open model standard exists until now for Urban Energy Modelling (like IFC or gbXML for buildings) • CityGML, open standard for exchanging 3D urban data, doesn’t contain any energy-related objects or attributes. • CityGML is extensible through ADEs. • Urban energy tool developers (CitySim, UMI) have developed their own tailor-made urban information model
  • 5. Our Objectives 5 • Store relevant energy-related data in a common open city data model • …to offer data exchange and interoperability possibilities between urban energy stakeholders and tools • …as well as with other expert fields (acoustics, statics). Combine data collection effort!  Energy ADE for CityGML
  • 6. Stakes 6 • Flexibility: Following the philosophy of CityGML and its Levels of Detail (LoDs) • Compatibility: Allowing to be used in different urban energy platforms for different analysis methods, using data from different data specification standards • Modularity: connection with other CityGML ADEs, use and extension of ADE Energy in other fields
  • 7. A participative development process 7 • Participative development in an international expert group from 12 organisations
  • 8. A participative development process 8 • Representing the development of 6 urban energy modelling and simulation tools CURTIS
  • 9. CityGML ADE concept 9 • What is an ADE? • Extension of the CityGML model for specific application domains • Formal specification in separate XML schemas referencing the CityGML schemas • 2 types of ADEs: • Extension of existing CityGML feature types • Definition of new feature types • Reference document: Modeling an application domain extension of CityGML in UML - OGC Best Practice, 2014 Rule-based & automated way Domain experts  UML  ADE XML Schema CityGML Consensus ADE concept
  • 10. Preliminary development phase 10 • Study of existing data specification projects concerning Building energy at urban scale • List of Use cases (simulation and modelling) from the different partners • List of requirements enabling these Use cases • Development of class diagramms
  • 11. INSPIRE 11 • Among the 34 spatial themes, INSPIRE proposes data specifications for building. • INSPIRE Building model • 4 profiles (Core2D, Core3D, Extended2D, Extended3D) • Energy related attributes: • Building/BuildingPart (e.g. connectionToElectricity, heatingSource, heatingSystem, energyPerformance, materials, etc.) • Wall-/Roof Surfaces (e.g. materialOfRoof/Façade)
  • 12. At the interface of Big Geo Data and urban analysis tools CityGML Energy ADE INSPIRE Data specifications BEDES Urban analysis tools Available on-site data
  • 13. Time table 13 Stuttgart (May 2014) – Kick-off • Gathering partners • Organisation of development in Working group • Requirements collection, identification of other related initiatives Karlsruhe (Oct 2014) • Class diagramms of the different modules • Unification in one XML scheme • Organisation of revision process on GitHub repository Nice (May 2015) • Integration of Energy ADE Scheme in softwares • Testing phase on concrete projects • Preparation of a documentation, code list definition
  • 14. Organisation of the revision process 14 • A participative and iterative process • Organized in Working Groups related to the module structure • Issues signaled on GitHub, discussed and centralized by the Working Group coordinators • An “XML team” in charge of updating the XML Schema.
  • 15. A modular structure 15 Structured around an Energy ADE core + 3 modules: • Construction and Material • Occupancy • Energy and Systems Modules can be potentially used and extended in other fields and applications
  • 16. ADE Energy core 16 • Contains thermal building objects required for building energy simulation • integrated to the CityGML standard schema through its AbstractBuilding, BoundarySurface and Opening classes. • Compatible with the 4 LoDs
  • 17. Construction and Materials 17 • Contains physical characterization of building construction elements • Compatible with static energy balance (U-Values) AND complex dynamic heat simulation (l, r, cp). • May be used and further extended for multi-field analysis (e.g. statics, acoustics).
  • 18. Occupancy 18 • Contains building usage characterization including HVAC operation, ownership and occupancy information • Temporal variables (e.g. occupancy rate or operation schedules) can be modelled with different LoDs • May be used and further extended for multi-field analysis (e.g. socio- economics).
  • 19. Energy and Systems 19 • Contains energy amounts (demand, supply, sources) • …and energy systems information (conversion, distribution, storage systems) • …related to the different end use types (e.g. space heating, cooling, DHW) • Energy amounts may be associated to any CityObject
  • 20. Time series 20 • Inspired from other ADE (WaterML), applied to Energy Amount • Models both regular and irregular time series • May store both simulation results and metering data for comparison purpose
  • 21. Application and test cases 21 • Heating demand calculation • (Pre-)certification of energy performance SnapshotSimStadt,HFTStuttgart. napshotEnergieatlasBerlin,TUMünchen.
  • 22. Application and test cases 23 • Dependencies Urban forms / Energy demand Source: LSE Cities, EIFER : Cities and Energy, Urban Morphology and Heat Energy Demand (2014)
  • 23. 24 Application and test cases • Energy saving potentials and refurbishment scenarios • CO2 emissions / Primary Energy Snapshots SimStadt, HFT Stuttgart.
  • 24. 25 • Solar and renewable potential studies Application and test cases Snapshots SimStadt, HFT Stuttgart. Irradiance potential on roofs and facades Roof suitability for Photovoltaic panels
  • 25. 26 • PV cadaster based on 3D City models Application and test cases Snapshots EIFER.
  • 26. 27 • Micro-climate studies Application and test cases SnapshotsCitySim,EPFL
  • 27. 28 • Heat density map • Support for District heating network layout Application and test cases SnapshotSimStadt,HFTStuttgart. apshotSimStadt,HFTStuttgart.
  • 28. Applications and test cases 29 CityGML + Energy ADE has the potential to enable many further urban energy analyses • Impact of occupancy / behavior • Comparison of actual and standard consumption • Daylighting analysis • Impact of energy-efficient measures • Life cycle analysis • ….
  • 29. Collaboration with CityGML 3.0 and INSPIRE Building development teams to harmonize some module/concepts • Materials • Time Series • Metadata • …. Collaboration with CityGML 3.0 development team 30 WP3 LOD concept WP9 Other construct. WP6 Time series WP10 Utility networks WP7 Materials WP12 Metadata WP8 Land administrat. WP13 Stories CityGML 3.0 Work Packages
  • 30. Conclusion and outlooks 31 • After 1 year of collaborative development, the first version Energy ADE has been released, freely available online http://www.sig3d.org/citygml/2.0/energy/ • Guidelines soon available for Energy ADE users (data providers and urban tool developers) • Test phase on urban energy analyses has just started • We are very open to feedbacks and further active developers