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E i f ti t iEnergy information systems in architecture and urban planning/architecture and urban planning/Sistemas deinformación energética en arquitecturay urbanismoy urbanismo
Dr. Gerardo Wadel, Marco MassettiGrupo de investigaciónGrupo de investigaciónARC Enginyeria i Arquitectura La Salle
IntUBE 2008‐2011 7th Framework ProgrammeIntUBE 2008 2011 7th Framework ProgrammeIntelligent Use of Building’s Energy Information
Project Coordinator: Ala‐Mia Juusela, VTT, Finland
RÉPENER 2009‐2012 Spanish National RDI planControl and improvement of energy efficiencyControl and improvement of energy efficiency in buildings through the use of repositories
Project Coordinator: Dr Leandro Madrazo ARC
SEMANCO 2011 2014 7th F k P
Project Coordinator: Dr. Leandro Madrazo, ARC
SEMANCO 2011‐2014 7th Framework ProgrammeSemantic Tools for Carbon Reduction in UrbanPl iPlanning
Project Coordinator: Dr. Leandro Madrazo, ARC
IntUBE Intelligent Use of Building’s Energy InformationIntUBE Intelligent Use of Building s Energy Information2008‐2011 7th Framework Programme
• VTT(Project Coordinator), FINLAND• CSTB Centre Scientifique et Technique du Bâtiment, FRANCE• TNO Netherlands Organisation for Applied Scientific Research,
NETHERLANDS• SINTEF Group, NORWAY• University of Teesside and Centre for Construction Innovation & Research,University of Teesside and Centre for Construction Innovation & Research,
UNITED KINGDOM• Enginyeria i Arquitectura La Salle, Universitat Ramon Llull, SPAIN• Università Politecnica delle Marche ITALYUniversità Politecnica delle Marche, ITALY • University College Cork, Department of Civil & Environmental Engineering ,
IRELAND• U i it f St tt t I tit t f H F t d T h l• University of Stuttgart‐ Institute for Human Factors and Technology
Management, GERMANY• Vabi Software, NETHERLANDS• Pöyry Building Services Oy, FINLAND• Ariston Thermo Group, ITALY
elop
.
ce
Capturing the energy information flow throughout the different stages of the whole building lifecycle
Con
cept
Des
ign
deve
Con
trol
/ m
aint
enan
c
Ret
rofit
de
sign
C D
Building lifecycle
C m R d
BIM
Simulation tool
BIM
KNOWLEDGEe.g. benchmark
Monitoring/BMS
INFORMATION
EIIP – Energy Information Integration Platform
BIM server SIM server RD serverPIM server
Static data (geometry, spaces, building systems)
Simulated energy performance data
Real monitored data (climate, occupancy)
Metadata to interlink repositories
IntUBE – Energy Information Integration Platform
ENERGY INFORMATION CYCLE
Energy Information Integration Platform EIIP
ClimateEnergy
BIM serverser
Buildingdata
ser
gycompanies
BuildingDesigner
SIM servervicSimulation
data
RESOURCESrvic
USERS
BuildingPIM server
RD server
es
Monitoringdata
dataes
BuildingOwner
OccupantsMonitoring
data
Distributed repositories …
Extract benchmark
Performanceindicators
Demonstration scenarioFUNITEC (24 sensors)
•Temperature: 7
S10S10 S1S1
•Humidity: 7•State
•Blinds: 5•Windows: 5
S6S6
•Windows: 5
CIMNE (32 sensors)•Temperature: 16
Apartment 2.1
S11S11
•Pulse: 4•Energy Rate: 12
Apartment 2.2
S7S7S5S5
S12S12
Publicly subsidised apartment building in Cerdanyola del Vallès Barcelona
S8S8
S4S4 S17S17 S15S15 S13S13S14S14
S18S18
Vallès, Barcelona.Contact sensors for opening status windows and doorsTemperature and relative humidity, inside, outside, air collectorIlluminance sensor for blind position detection
Touch Panel ScreenHub connected to InternetBoiler and heat exchanger SHW
A demonstration scenario was implemented in a building where several sensors were installed and a screen to advise dwellers.
kgkg
0.150.15
User interface installed in a social housing building to advise dwellers to g greduce their energy consumption. Also, it shows current consumption of each apartment.
An operative EIIP working as nexus of energy data in all
What was achieved in IntUBE:
‐ An operative EIIP working as nexus of energy data in all stages of the lifecycle:
Storing BIM Revit models‐ Storing BIM Revit models‐ Enriching building models with energy attributes Storing simulation outputs with VABI simulation software‐ Storing simulation outputs with VABI simulation software
‐ Integrating monitoring data (OPC server) in the EIIP
‐ Basic platform‐based services created for benchmarking, prediction through simulation advising dwellersprediction through simulation, advising dwellers.
The implementation of the platform in different scenarios‐ The implementation of the platform in different scenarios demonstrated the feasibility of the data flow across heterogenous sources of energy informationheterogenous sources of energy information
RÉPENER Control and improvement of energy efficiencyRÉPENER Control and improvement of energy efficiency in buildings through the use of repositories 2009‐2012 Spanish National RDI plan2009 2012 Spanish National RDI plan
• Enginyeria i Arquitectura La Salle, Universitat Ramon Llull (Project C di t ) SPAINCoordinator) SPAIN
• Faculty of Business and Computer Science, Hochschule Albstadt‐Sigmaringen, GERMANY
El objetivo es diseñar e implementar un prototipo de sistema de información energética utilizando tecnologías semánticas, según la filosofía Linkedg , gOpen Data.
El modelo energético comprende dos tipos de información: la que tiene que ver con el edificio eninformación: la que tiene que ver con el edificio en sí y la de otros ámbitos (ambientales, sociales, económicos,…) que puedan afectar a su eficiencia.
Climate GUI
Building Repository Energy Model Analysis
Linked Data Sources
…
Visualization
Leako
Ontology Repository
Simulation
Offline Data Sources
CIMNE
Ontology Repository
Services Tools
Prediction
Moving from a platform to a system of energy information with open and propietary data linked using ontologies
This vocabulary is provided by the energy model
Querying semantic data :
energy model
Return residential buildings which:‐ are located in a coast city in a climate zone D,‐ its simulated energy consumption is lower than its monitored consumption, gy p p ,‐ CO2 emissions are below national average.
Energy Model
Leako Icaen
Li k d
Leako Icaen
AemetLinked
GeoData
CertificateICAEN ontology
BuildingDomain
icaen:certificates
ProjectData Literal : Stringicaen:ID_LOCALITAT
icaen:hasProject
df l b l
Literal : String Literal : StringLiteral : string Literal : string Literal : string
AEMET ontology Linked GeoDataontology
WeatherStation
rdfs:labelaemet:stationName
Town City Village
rdfs:label rdfs:label rdfs:label
Point
geo:Location
rdfs:subClassOf rdfs:subClassOf
rdfs:subClassOfaemet:Temperature
Literal : Decimal
Point
geo:lat
geo:long
geo:latgeo:long
Placelgd:population
Literal : Decimal
Literal : Decimal Literal : DecimalLiteral : Decimal Literal : Decimal
Excerpts of local ontologies developed in OWL language.
CertificateICAEN ontology
BuildingDomain
icaen:certificates
ProjectData Literal : Stringicaen:ID_LOCALITAT
icaen:hasProject
df l b l
Literal : String Literal : StringLiteral : string Literal : string Literal : string
AEMET ontology Linked GeoDataontology
WeatherStation
rdfs:labelaemet:stationName
Town City Village
rdfs:label rdfs:label rdfs:labelcloseTo
Located
Point
geo:Location
rdfs:subClassOf rdfs:subClassOf
rdfs:subClassOfaemet:Temperature
Literal : Decimal
LocatedPoint
geo:lat
geo:long
geo:latgeo:long
Placelgd:population
Literal : Decimal
Located
Literal : Decimal Literal : DecimalLiteral : Decimal Literal : Decimal
Mappings between ontologies are created to interrelate data sources allowing integrated queries.
Building ontologies: A process to transfer knowledge from domainexperts to ontology engineers‐ informal method, based on standards
REPENER - Control and improvement of energy efficiency in buildings through the use of repositories
This vocabulary is provided by theWelcome to REPENER !Introduce yourself and REPENER can bring you the information you need
building userbuilding owner
hi
I’m a I’m involved in aproject of a new buildingproject of building retrofitf b l d
I’d like to knowtypical solutionsbuilding examples
i l f
This vocabulary is provided by the energy model
y g y y
architectengineerfacility managerpublic administratorresearcher
[type other]
feasibility studyenergy certificationresearch
[type other]
typical performances
[type other]
see more see more see more
Design Team
Facility Manager
Ejemplos de Edificios Eficientes
Desi n Team
Design Team Examples of eficient building Volver a empezar
City Area(m2) CO2Emiss E.Demand E.Consum
Sant Cugat del Vallès 1.200Rubí 750Cerdanyola 1.750
Multyfamily, Sant Adrià de BesòsProjectDatabuiliding lifecycle phaseMain Building Utilization Habitatge PlurifamiliarCity Cerdanyola
design_new operation
Comparación entre mejores y peores
Valores de referencia > Benchmarking
Design TeamCerdanyola .750Sabadell 2.200Sant Quirze 380
City Cerdanyola
BuildingPropertiesCompacness 5Conditioned Floor Area 1750prevalent orientation of window area * 20total transmission heat transfer coefficient of the building* 45degree of centralisation of first heat generator (fórmula) 1type of first heat generator argrenergy carrier of first heat generator (fórmula) efqquse of first heat generator (fórmula)
OutdoorEnvironmentaccumulated solar radiation in January *cooling degree days on base 20º * 120heating degree days on base 20º * 452accumulated global solar radiation in july *
Operationpresence time per day *
Empezar nueva
búsqueda >
Back<
Back
Empezar nueva
búsqueda >
Back<
Back
presence time per day typical heating set point temperature* 22typical cooling set point temperature*
Performance% of time above of comfort temperature (26default<indoor space performance)*% of time below of comfort temperature (20default<indoor space performance)*heating demand* 1789cooling demand * 789heating consumption* 2789total primary energy 42005heating primary energy* 05
The user interface uses the terminology defined in the energy model
SEMANCO Semantic Tools for Carbon Reduction inSEMANCO Semantic Tools for Carbon Reduction in Urban Planning
2011‐2014 7th Framework Programme2011 2014 7th Framework Programme
• Enginyeria i Arquitectura La Salle, Universitat Ramon Llull, (Project Coordinator), SPAIN
• University of Teesside and Centre for Construction Innovation & Research, UNITED KINGDOM
• CIMNE, International Center for Numerical Methods in Engineering, SPAIN, g g,• Politecnico di Torino, ITALY• Faculty of Business and Computer Science, Hochschule Albstadt‐
Sigmaringen GERMANYSigmaringen, GERMANY• Agency9 AB, SWEDEN• Ramboll, DENMARK• NEA National Energy Action UNITED KINGDOM• NEA National Energy Action, UNITED KINGDOM• FORUM, SPAIN
SEMANCO’s purpose is to provide semanticSEMANCO s purpose is to provide semantic tools to different stakeholders involved in urban planning (architects engineers buildingurban planning (architects, engineers, building managers, local admnistrators, citizens and
)policy makers) to help them make informed decisions about how to reduced carbon emissions in cities.
WP6
WP8 CO2 emissions reduction!
Enabling scenarios for stakeholders
Regulations Urban Developments Building OperationsPlanning strategies
WP6
Application domains
Policy Makers CitizensDesigners/Engineers Building ManagersPlannersStakeholders
Building stock energy modelling
tool
Advanced energy information analysis tools
Interactivedesign tool
Energy simulationand trade‐off tool WP5
TechnologicalPlatform
SEMANTIC ENERGY INFORMATION FRAMEWORK (SEIF) WP4
Building repositories
Energydata
Environmentaldata
Economicdata
WP3
WP2
WP6
WP8 CO2 emissions reduction!
Enabling scenarios for stakeholders
Regulations Urban Developments Building OperationsPlanning strategies
WP6
Application domains
Policy Makers CitizensDesigners/Engineers Building ManagersPlannersStakeholders
Building stock energy modelling
tool
Advanced energy information analysis tools
Interactivedesign tool
Energy simulationand trade‐off tool WP5
TechnologicalPlatform
SEMANTIC ENERGY INFORMATION FRAMEWORK (SEIF) WP4
Building repositories
Energydata
Environmentaldata
Economicdata
WP3
Getting heterogeneous, distributed energy related data
WP2
WP6
WP8 CO2 emissions reduction!
Enabling scenarios for stakeholders
Regulations Urban Developments Building OperationsPlanning strategies
WP6
Application domains
Policy Makers CitizensDesigners/Engineers Building ManagersPlannersStakeholders
Building stock energy modelling
tool
Advanced energy information analysis tools
Interactivedesign tool
Energy simulationand trade‐off tool WP5
Modelling data with ontologiesTechnological
PlatformSEMANTIC ENERGY INFORMATION FRAMEWORK (SEIF) WP4
Building repositories
Energydata
Environmentaldata
Economicdata
WP3
Getting heterogeneous, distributed energy related data
WP2
WP6
WP8 CO2 emissions reduction!
Enabling scenarios for stakeholders
Regulations Urban Developments Building OperationsPlanning strategies
WP6
Application domains
P idi t l d i t i t t ith d tPolicy Makers CitizensDesigners/Engineers Building ManagersPlannersStakeholders
Providing tools and services to interoperate with data
Building stock energy modelling
tool
Advanced energy information analysis tools
Interactivedesign tool
Energy simulationand trade‐off tool WP5
Modelling data with ontologiesTechnological
PlatformSEMANTIC ENERGY INFORMATION FRAMEWORK (SEIF) WP4
Building repositories
Energydata
Environmentaldata
Economicdata
WP3
Getting heterogeneous, distributed energy related data
WP2
WP6
WP8 CO2 emissions reduction!Using tools at different decision making realms
Enabling scenarios for stakeholders
Regulations Urban Developments Building OperationsPlanning strategies
WP6
Application domains
P idi t l d i t i t t ith d tPolicy Makers CitizensDesigners/Engineers Building ManagersPlannersStakeholders
Providing tools and services to interoperate with data
Building stock energy modelling
tool
Advanced energy information analysis tools
Interactivedesign tool
Energy simulationand trade‐off tool WP5
Modelling data with ontologiesTechnological
PlatformSEMANTIC ENERGY INFORMATION FRAMEWORK (SEIF) WP4
Building repositories
Energydata
Environmentaldata
Economicdata
WP3
Getting heterogeneous, distributed energy related data
WP2
Reducing carbon emissions
WP6
WP8 CO2 emissions reduction!Using tools at different decision making realms
Enabling scenarios for stakeholders
Regulations Urban Developments Building OperationsPlanning strategies
WP6
Application domains
P idi t l d i t i t t ith d tPolicy Makers CitizensDesigners/Engineers Building ManagersPlannersStakeholders
Providing tools and services to interoperate with data
Building stock energy modelling
tool
Advanced energy information analysis tools
Interactivedesign tool
Energy simulationand trade‐off tool WP5
Modelling data with ontologiesTechnological
PlatformSEMANTIC ENERGY INFORMATION FRAMEWORK (SEIF) WP4
Building repositories
Energydata
Environmentaldata
Economicdata
WP3
Getting heterogeneous, distributed energy related data
WP2
l
neighborhood
MUNICIPAL
regional
neighborhood
CASE STUDY
In order to address the multiple dimensions involved the problem of p pCO2 emission reduction, the tools and methods developed in this project will integrate the neighbourhood, municipal and regional scales.
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