From CityGML to Energy ADE - Workflow
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1 From CityGML to Energy ADE - Workflow KIT Universität von Baden-Württemberg und nationales Forschungszentrum der Helmholtz Gemeinschaft
2 Workflow overview CityGML import Geometric / semantic checks Geometric enhancement Correctable errors Result Severe errors End Ok Attributive enrichment Energy ADE generation Energy ADE export
3 CityGML import The workflow is implemented in the GML-Toolbox software (not public), incorporating generic GML importer and exporter modules Actually, only file based import / export is supported Only CityGML Building objects with LoD2 or LoD3 geometry are accepted At the moment, BuildingPart objects are ignored (work in progress) At the moment, each Building object is treated separately (future extension)
4 Mapping CityGML features on Energy ADE features CityGML feature Building BuildingPart WallSurface, RoofSurface, GroundSurface, OuterFloorSurface, OuterCeilingSurface InteriorWallSurface, FloorSurface, CeilingSurface, ClosureSurface Door, Window BuildingInstallation, IntBuildingInstallation - EnergyADE feature ThermalZone ThermalZone ThermalBoundary - ThermalOpening
5 Geometric / semantic checks Basic checks (e.g. existence of at least one WallSurface, RoofSurface and GroundSurface object) Correctness of single BoundarySurface objects and related Door / Window objects Correctness of the surfaces patches (e.g. planarity) Correct topology (no overlaps between surfaces patches, identical contour points) of touching surfaces patches Within pre-defined limits unique orientation of all surface patches Correct topology of the BoundarySurface composition Building has correct Solid geometry The union of all BoundarySurfaces produces a correct Solid
6 Geometric enhancement (work in progress) Splitting of BoundarySurfaces with non-unique orientation
7 Geometric enhancement (work in progress) Detection of touching BoundarySurfaces belonging to different BuildingParts or different Buildings Detection of the shared area, and splitting into the shared and nonshared parts
8 Attributive enrichment Step 1 Correction / completion of basic building parameters, partly provided by the CityGML model Building location Building function Building type Construction weight Building volume Building height / number of storeys / Building gross ground surface Building gross floor area CityGML attribute
9 Attributive enrichment Step 2 Assign material data to BoundarySurface (WallSurface, RoofSurface, GroundSurface) and Opening (Window, Door) objects Assign opening ratios to WallSurface and RoofSurface objects in LoD2 models Boundary surface parameters: Thermal conductivity, density, specific heat capacity, thickness of material layer / construction Opening parameters: U-value, transparency, glazing ratio Choice of simple or advanced material model
10 Simple material model Specification of physical parameters for all WallSurface, RoofSurface, GroundSurface, Window and Door objects resp. WallSurface, RoofSurface, GroundSurface : Three Construction objects with one Layer object, referring to one SolidMaterial Door, Window Two Construction objects without Layer structure
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12 Advanced material model Operates on a predefined material-list (Energy ADE format) with SolidMaterial, Gas, Layer / LayerComponent and Construction objects, supporting multi-layer constructions Constructions can be aggregated to a Construction Group The user can select One Construction Group for all BoundarySurfaces Individual Construction objects on class level Individual Construction objects on object level The pre-defined constructions and materials can be edited
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14 Attributive enrichment Step 3 Selection of operational schedules and parameters for heating, cooling, ventilation and internal energy gains due to occupants, lighting and electrical devices The software uses a list of predefined schedules, which can be grouped (special XML-Format) Predefined schedules can be edited
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16 Attributive enrichment Step 4 (optional) Selection of climate data Support of CSV files and a simple XML-format (Meteonorm software)
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18 Energy ADE generation and export The additional information generated in the checking, correction and attributive enhancement steps is stored in a parametric enhancement model. Using this model, the needed Energy ADE features are generated in the internal data structure of the software tool. Using the generic GML export module, the enhanced CityGML model can be stored as XML file. The process only generates a subset of the Energy ADE model, formally described as KIT-profile Energy ADE
19 KIT profile of the Energy ADE KIT Universität von Baden-Württemberg und nationales Forschungszentrum der Helmholtz Gemeinschaft
20 What is a profile of a GML application schema? In general, an application schema profile strengthens the schema rules of the original schema An instance document validating against a profile also validates against the original schema Typical operations to define a profile are Excluding single classes or complete modules / packages Reducing the cardinality of mandatory attributes / relations [1..*] [1] Excluding optional attributes Declaring optional attributes as mandatory
21 KIT profile Energy ADE Central motivation for defining the profile was to reduce the complexity of the data model, mainly to facilitate the development of an Energy ADE Web Feature Service (Energy ADE WFS). VCS has implemented such an WFS for KIT. The profile rules are integrated as specific Tagged Values into the Energy ADE UML model. A self-developed profile tool enables to Check the consistency of profile rules, and Generate an EA UML-model of the profile Profile documents (XML-schema, feature catalogue, UML model (PDF)) can be downloaded via
22 KIT profile module structure «applicationschema» Building «applicationschema» CityGML_Core (from CityGML) (from CityGML) «leaf» Energy ADE Core «leaf» Supporting Classes «leaf» Occupant Behav iour «leaf» Material and Construction «leaf» Energy Systems «leaf» Building Physics
23 KIT profile Energy ADE Core module
24 KIT profile Building Physics module [1..*] [1..*] [1 ]
25 KIT profile Material module
26 KIT profile Occupant behaviour module
27 KIT module Time series
28 KIT profile - Schedules
29 KIT profile Weather data
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