Post on 19-Jan-2015
description
iGUESS – An integrated Geospatial Urban
Energy information and decision SupportSystem
Ulrich Leopold
Resource Centre for Environmental Technologies,Public Research Centre Henri Tudor,Esch-sur-Alzette, Luxembourg
Urban Energy Planning, Luxembourg – October 08, 2012
www.tudor.lu
Outline
Background
Objectives
Approach
Energy Modules
Scenarios
Outlook
Live demo
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 2
So what was MUSIC again ?
MUSICI is an INTERREG IVB NWE project with 5 European cities
(Rotterdam, Ghent, Aberdeen, Montreuil, Ludwigsburg)supported by 2 research institutes (DRIFT & Tudor),
I aims at reducing CO2 emissions in urban areas by 50% by2030,
I involves urban citizens via Transition Management,
I adds energy as an additional GIS layer to spatial and urbanplanning,
I develops innovative strategies by combining TransitionManagement and GIS technologies in urban planning.
Tudor develops iGUESS – an integrated Geospatial Urban Energyinformation and decision Support System.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 3
So what was MUSIC again ?
MUSICI is an INTERREG IVB NWE project with 5 European cities
(Rotterdam, Ghent, Aberdeen, Montreuil, Ludwigsburg)supported by 2 research institutes (DRIFT & Tudor),
I aims at reducing CO2 emissions in urban areas by 50% by2030,
I involves urban citizens via Transition Management,
I adds energy as an additional GIS layer to spatial and urbanplanning,
I develops innovative strategies by combining TransitionManagement and GIS technologies in urban planning.
Tudor develops iGUESS – an integrated Geospatial Urban Energyinformation and decision Support System.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 3
Why iGUESS ?
Many tools exist:
I various models to compute renewable energy potentials,energy demand and supply, analyse socio-economic issues, . . .
I data bases on social information, renewable energies,environmental parameters, businesses
I some data exist as maps, others as tables
I Web-interfaces
iGUESS aims to integrate all this by:
I using web-based technologies,
I following open standards and software,
I building on established and recent scientific knowledge,
I working directly with the stakeholders.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 4
Why iGUESS ?
Many tools exist:
I various models to compute renewable energy potentials,energy demand and supply, analyse socio-economic issues, . . .
I data bases on social information, renewable energies,environmental parameters, businesses
I some data exist as maps, others as tables
I Web-interfaces
iGUESS aims to integrate all this by:
I using web-based technologies,
I following open standards and software,
I building on established and recent scientific knowledge,
I working directly with the stakeholders.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 4
iGUESS provides tools to find solutions !
iGUESS – a decision support system which provides:
I geospatial modelling and assessment tools to determineoptimal energy policies for urban areas across multiple scales;
I simplified access to complex spatial and temporal informationfor stakeholders and decision makers;
I interoperability respecting open standards to integratedistributed data sources, different models and analysis tools.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 5
Tudor develops with each City a specific Module
Module (tool) and lead City:
I Solar Energy Potential – Rotterdam;
I Shallow Geothermal Energy Potential – Ludwigsburg;
I Urban Heat Island effects – Ghent, Montreuil;
I Green Roofs Suitability – Rotterdam;
I Energy Poverty Analysis – Aberdeen, Ghent;
I Energy Savings Potential for Residential and Public Buildings–Rotterdam;
I Data Infrastructures – Montreuil;
I Wind Energy Production – to be determined;
I CO2 emission reduction scenarios – Ghent.
Each tool can be applied to other cities.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 6
Tudor develops with each City a specific Module
Module (tool) and lead City:
I Solar Energy Potential – Rotterdam;
I Shallow Geothermal Energy Potential – Ludwigsburg;
I Urban Heat Island effects – Ghent, Montreuil;
I Green Roofs Suitability – Rotterdam;
I Energy Poverty Analysis – Aberdeen, Ghent;
I Energy Savings Potential for Residential and Public Buildings–Rotterdam;
I Data Infrastructures – Montreuil;
I Wind Energy Production – to be determined;
I CO2 emission reduction scenarios – Ghent.
Each tool can be applied to other cities.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 6
iGUESS – one system to find sustainable solutions!
Decision support, impact assessment
Baseline for CO2 emissionsand other indicators Scenarios
Potentials, inventories, integrated modelling
Input and basic data
visualisation
computation
optimisationsimulation
feedback
update
feed in
analysis
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 7
iGUESS Modules (tools)
Uncertainty engine
Solar PV use
Solar thermal use
Wind power use
Biomass (waste) use
Geothermal energy use
Green roofs construction
Fuel poverty analysis
Heat island effect
Transport emissions
PM10 mapping
Solar irradiation
Cadaster
3D model with roofs
Wind speedand direction
Biomassavailability
Soil and rock properties
Green and water areas
Distance topublic transport
PM10 measurements
CO2 baselinecomputation
Scenariobuilding
Basic and input data Case study modules Baseline and scenarios Decision support
Electricity
Water heating
Space heating
Electricity
Electricity
S. and w. heating
District heating
Space heating
Energy savings
Energy demand
Refurbishment plan
Impact on
energy consumption
CO2 emissions
Decisionsupport
Impactassessment
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 8
iGUESS Modules (tools)
Uncertainty engine
Solar PV use
Solar thermal use
Wind power use
Biomass (waste) use
Geothermal energy use
Green roofs construction
Fuel poverty analysis
Heat island effect
Transport emissions
PM10 mapping
Solar irradiation
Cadaster
3D model with roofs
Wind speedand direction
Biomassavailability
Soil and rock properties
Green and water areas
Distance topublic transport
PM10 measurements
CO2 baselinecomputation
Scenariobuilding
Basic and input data Case study modules Baseline and scenarios Decision support
Electricity
Water heating
Space heating
Electricity
Electricity
S. and w. heating
District heating
Space heating
Energy savings
Energy demand
Refurbishment plan
Impact on
energy consumption
CO2 emissions
Decisionsupport
Impactassessment
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 8
Solar Energy Potential
Objective
I Find solar energy production potential in my city.
I Tell me where, how much and which roofs are suitable for PVtechnology.
Approach
I Major input data: 3D city model, cloud cover,...;
I Compute high resolution (50 cm) solar cadastre withestablished model;
I Feed into energy scenarios until 2050.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 9
Solar Energy Potential – Rotterdam
Solar irradiation in kWh/a Suitable roof area(red=pitched, blue=flat roofs)
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 10
Shallow Geothermal Energy Potential
Objective
I Find geothermal energy production potential in my city.
I Tell me where, how much and which areas are suitable to drillto extract heat for space heating.
Approach
I Major input data: 3D geological information, cadastre andbuilding footprints, energy demand for buildings, ldots,
I Compute potential number of boreholes per parcel andassociated heat extraction potential.
I Estimate demand satisfied and feed into scenarios.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 11
Shallow Geothermal Energy Potential
Maximum number of boreholes per parcel and percentage ofdemand which can be satisfied
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 12
Shallow Geothermal Energy Potential
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 13
Energy Savings Potential (ESP) for Buildings
Objective
I Predict energy needs of buildings at urban scale using abottom-up approach.
I Identify energy savings potential for buildings at urban scale.
Approach
I Major input data: Energy consumption, building information(age, function, state, surface, occupants), reference data, . . . .
I Compute energy consumption for different uses from historicalconsumption data using above data in a regression analysis.
I Analyse energy savings potential from consumption andbuilding renovation measures.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 14
ESP – Gas Consumption at building level
LegendGas consumption (kWh)
NA
0 - 2431
2431 - 8873
8873 - 12139
12139 - 19334
19334 -
non-residential buildings 0 100 200 m
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 15
ESP – Electricity Consumption at block level
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 16
Fuel Poverty – Aberdeen
Objective
I Map fuel poverty from building/block level to city scale.
I Link to RES and Energy Savings potentials to tackle fuelpoverty and CO2 emission reductions at the same time.
Approach
I Analyse relationships between variables for best disaggregationmodel.
I Use statistical model to compute Fuel Poverty at the smallerscale from identified variables.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 17
Fuel Poverty – Electoral Districts, Aberdeen 2005
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 18
Linking Modules to an Energy Scenario Tool
Uncertainty engine
Solar PV use
Solar thermal use
Wind power use
Biomass (waste) use
Geothermal energy use
Green roofs construction
Fuel poverty analysis
Heat island effect
Transport emissions
PM10 mapping
Solar irradiation
Cadaster
3D model with roofs
Wind speedand direction
Biomassavailability
Soil and rock properties
Green and water areas
Distance topublic transport
PM10 measurements
CO2 baselinecomputation
Scenariobuilding
Basic and input data Case study modules Baseline and scenarios Decision support
Electricity
Water heating
Space heating
Electricity
Electricity
S. and w. heating
District heating
Space heating
Energy savings
Energy demand
Refurbishment plan
Impact on
energy consumption
CO2 emissions
Decisionsupport
Impactassessment
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 19
Linking Modules to an Energy Scenario Tool
Uncertainty engine
Solar PV use
Solar thermal use
Wind power use
Biomass (waste) use
Geothermal energy use
Green roofs construction
Fuel poverty analysis
Heat island effect
Transport emissions
PM10 mapping
Solar irradiation
Cadaster
3D model with roofs
Wind speedand direction
Biomassavailability
Soil and rock properties
Green and water areas
Distance topublic transport
PM10 measurements
CO2 baselinecomputation
Scenariobuilding
Basic and input data Case study modules Baseline and scenarios Decision support
Electricity
Water heating
Space heating
Electricity
Electricity
S. and w. heating
District heating
Space heating
Energy savings
Energy demand
Refurbishment plan
Impact on
energy consumption
CO2 emissions
Decisionsupport
Impactassessment
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 19
Energy Scenario Modelling
Energy-Technology-Environment Model for MUSIC(ETEMM)
I A tool to explore urban development scenarios;
I Based on a techno-econometric model of the city’sinfrastructure and energy demand;
I Calculates long term CO2 emission trends;
I Alternative scenarios can be developed using the potentialscalculated by the Modules;
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 20
Energy Scenario Modelling
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 21
Energy Scenario Modelling
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 22
Developing an Emission Reduction Scenario
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 23
What’s next ?
The MUSIC Consortium willI complete the spatial information on renewables potentials in
the cities and integration into the energy planning,
I enable the 5 partner cities to make full use of the possibilitiesof iGUESS via constant knowledge transfers and trainings,
I enable the Cities to generate maps in a fully automated way,
I look for possibilities to transport the tools and methods toother European Cities.
⇒ Luxembourg would be a good starting point.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 24
What’s next ?
The MUSIC Consortium willI complete the spatial information on renewables potentials in
the cities and integration into the energy planning,
I enable the 5 partner cities to make full use of the possibilitiesof iGUESS via constant knowledge transfers and trainings,
I enable the Cities to generate maps in a fully automated way,
I look for possibilities to transport the tools and methods toother European Cities.⇒ Luxembourg would be a good starting point.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 24
Thank you for your attention!
Olivier Baume, Christian Braun, Christopher Eykamp, Ruı Martins,Olivier O’Nagy, Karine Paris, Kerry Pearce, Luıs de Sousa, DanielKoster & Ulrich Leopold.Contact: Ulrich.Leopold@Tudor.lu www.theMusicProject.eu
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 25
Live demo iGUESS
I Start iGUESS Prototype
I Start iGUESS Development Version
I Start ETEM model
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 26
Questions for discussion
I Where do you see links to your daily work and/or life?I What are the needs of your municipality to set up a more
targeted and efficient energy policy?I Do you have the necessary information to build future energy
scenarios for your city?I Are GIS tools usually used to plan energy related topics in your
field?I Would you like to collaborate on an implementation of such
Modules/approaches for Luxembourg?I How could citizens and local actors be involved?I What kind of information should tools, such as iGUESS,
contribute to make your work easier?I Do you see business opportunities with such approaches?I Do you see potential to get inspired by such tools to start new
initiatives or enhance existing one?
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 27
Data manager
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 28
Calculation Modules
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 29
Calculation Modules
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 30
WebGIS
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 31
iGUESS Challenges
I Integrate different models (modules) accounting for change ofscale (building to city level),
I Handle uncertainties in data, model parameters and equations,
I Integrate heterogeneous information from distributed databases,
I Implement complex spatial and temporal modelling tools asweb-based services,
I Make complex spatial and temporal information accessible tostakeholders with the help of a web-based interface.
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 32
Architecture & Technologies
Data Base Server
PostgreSQL
PostGIS
Map Server
UMNMapServer
Apache
PROJ.4 GDAL/OGR
Process Server
GRASS R StatisticalComputing
GDAL/OGRPROJ.4
Apache PyWPS
Web Server
Rails
JQuery OpenLayers
GeoExtGeoNetwork
Web MapService
Web FeatureService
Web CoverageService
Web ProcessingService
Data BaseConnection
HTTPConnection
Catalogue Servicefor the Web
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 33
Optimisation of energy reference system
Imports/Exports
EnergyProduction
Households
Agriculture
Transport
Industry
Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 34