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.

IntUBEwww.intube.eu

RÉPENER arc housing salle url edu/repenerarc.housing.salle.url.edu/repener

SEMANCO www semanco project euwww.semanco‐project.eu

ARC Enginyeria i Arquitectura La SalleARC Enginyeria i Arquitectura La Sallewww.salleurl.edu/arc