iguess an integrated geospatial urban energy information and decision support systemn and decision...

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.

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.

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.

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.

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.

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.

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.

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

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

S. and w. heating

District heating

Space heating

Energy savings

Energy demand

Refurbishment plan

Impact on

energy consumption

CO2 emissions

Decisionsupport

Impactassessment

iGUESS Modules (tools)

Uncertainty engine

Solar PV use

Solar thermal use

Wind power use

Biomass (waste) use

Heat island effect

Transport emissions

PM10 mapping

Solar irradiation

Cadaster

3D model with roofs

Biomassavailability

PM10 measurements

Scenariobuilding

Electricity

Water heating

Space heating

Electricity

S. and w. heating

District heating

Space heating

Energy savings

Energy demand

Refurbishment plan

Impact on

energy consumption

CO2 emissions

Decisionsupport

Impactassessment

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.

Solar Energy Potential – Rotterdam

Solar irradiation in kWh/a Suitable roof area(red=pitched, blue=flat roofs)

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.

Maximum number of boreholes per parcel and percentage ofdemand which can be satisfied

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.

ESP – Gas Consumption at building level

LegendGas consumption (kWh)

0 - 2431

2431 - 8873

8873 - 12139

12139 - 19334

19334 -

non-residential buildings 0 100 200 m

ESP – Electricity Consumption at block level

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.

Fuel Poverty – Electoral Districts, Aberdeen 2005

Linking Modules to an Energy Scenario Tool

Uncertainty engine

Solar PV use

Solar thermal use

Wind power use

Biomass (waste) use

Heat island effect

Transport emissions

PM10 mapping

Solar irradiation

Cadaster

3D model with roofs

Biomassavailability

PM10 measurements

Scenariobuilding

Electricity

Water heating

Space heating

Electricity

S. and w. heating

District heating

Space heating

Energy savings

Energy demand

Refurbishment plan

Impact on

energy consumption

CO2 emissions

Decisionsupport

Impactassessment

Linking Modules to an Energy Scenario Tool

Uncertainty engine

Solar PV use

Solar thermal use

Wind power use

Biomass (waste) use

Heat island effect

Transport emissions

PM10 mapping

Solar irradiation

Cadaster

3D model with roofs

Biomassavailability

PM10 measurements

Scenariobuilding

Electricity

Water heating

Space heating

Electricity

S. and w. heating

District heating

Space heating

Energy savings

Energy demand

Refurbishment plan

Impact on

energy consumption

CO2 emissions

Decisionsupport

Impactassessment

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;

Developing an Emission Reduction Scenario

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.

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.

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

Live demo iGUESS

I Start iGUESS Prototype

I Start iGUESS Development Version

I Start ETEM model

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?

Data manager

Calculation Modules

WebGIS

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.

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

JQuery OpenLayers

GeoExtGeoNetwork

Web MapService

Web FeatureService

Web CoverageService

Web ProcessingService

Data BaseConnection

HTTPConnection

Catalogue Servicefor the Web

Optimisation of energy reference system

Imports/Exports

EnergyProduction

Households

Agriculture

Transport

Industry

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