iGUESS An integrated Geospatial Urban Energy information and decision Support Systemn and decision Support System

1. iGUESS – An integrated Geospatial Urban Energy information and decision Support System 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

2. Outline Background Objectives Approach Energy Modules Scenarios Outlook Live demo Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 2

3. So what was MUSIC again ? MUSIC is an INTERREG IVB NWE project with 5 European cities (Rotterdam, Ghent, Aberdeen, Montreuil, Ludwigsburg) supported by 2 research institutes (DRIFT & Tudor), aims at reducing CO2 emissions in urban areas by 50% by 2030, involves urban citizens via Transition Management, adds energy as an additional GIS layer to spatial and urban planning, develops innovative strategies by combining Transition Management and GIS technologies in urban planning. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 3

4. So what was MUSIC again ? MUSIC is an INTERREG IVB NWE project with 5 European cities (Rotterdam, Ghent, Aberdeen, Montreuil, Ludwigsburg) supported by 2 research institutes (DRIFT & Tudor), aims at reducing CO2 emissions in urban areas by 50% by 2030, involves urban citizens via Transition Management, adds energy as an additional GIS layer to spatial and urban planning, develops innovative strategies by combining Transition Management and GIS technologies in urban planning. Tudor develops iGUESS – an integrated Geospatial Urban Energy information and decision Support System. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 3

5. Why iGUESS ? Many tools exist: various models to compute renewable energy potentials, energy demand and supply, analyse socio-economic issues, . . . data bases on social information, renewable energies, environmental parameters, businesses some data exist as maps, others as tables Web-interfaces Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 4

6. Why iGUESS ? Many tools exist: various models to compute renewable energy potentials, energy demand and supply, analyse socio-economic issues, . . . data bases on social information, renewable energies, environmental parameters, businesses some data exist as maps, others as tables Web-interfaces iGUESS aims to integrate all this by: using web-based technologies, following open standards and software, building on established and recent scientiﬁc knowledge, working directly with the stakeholders. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 4

7. iGUESS provides tools to find solutions ! iGUESS – a decision support system which provides: geospatial modelling and assessment tools to determine optimal energy policies for urban areas across multiple scales; simplified access to complex spatial and temporal information for stakeholders and decision makers; interoperability respecting open standards to integrate distributed data sources, different models and analysis tools. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 5

8. Tudor develops with each City a speciﬁc Module Module (tool) and lead City: Solar Energy Potential – Rotterdam; Shallow Geothermal Energy Potential – Ludwigsburg; Urban Heat Island eﬀects – Ghent, Montreuil; Green Roofs Suitability – Rotterdam; Energy Poverty Analysis – Aberdeen, Ghent; Energy Savings Potential for Residential and Public Buildings– Rotterdam; Data Infrastructures – Montreuil; Wind Energy Production – to be determined; CO2 emission reduction scenarios – Ghent. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 6

9. Tudor develops with each City a speciﬁc Module Module (tool) and lead City: Solar Energy Potential – Rotterdam; Shallow Geothermal Energy Potential – Ludwigsburg; Urban Heat Island eﬀects – Ghent, Montreuil; Green Roofs Suitability – Rotterdam; Energy Poverty Analysis – Aberdeen, Ghent; Energy Savings Potential for Residential and Public Buildings– Rotterdam; Data Infrastructures – Montreuil; Wind Energy Production – to be determined; CO2 emission reduction scenarios – Ghent. Each tool can be applied to other cities. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 6

10. iGUESS – one system to ﬁnd sustainable solutions! Decision support, impact assessment analysis feedback Baseline for CO2 emissions feed in and other indicators Scenarios visualisation simulation optimisation Potentials, inventories, integrated modelling computation update Input and basic data Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 7

11. iGUESS Modules (tools) Uncertainty engine Basic and input data Case study modules Baseline and scenarios Decision support Electricity Solar PV use Solar irradiation Water heating Solar thermal use Space heating Cadaster CO2 baseline Electricity computation Decision Wind power use support 3D model with roofs Electricity Biomass (waste) use Wind speed S. and w. heating and direction District heating Geothermal energy use Biomass Space heating availability Energy savings Green roofs construction Soil and rock properties Energy demand Fuel poverty analysis Scenario Impact Refurbishment plan building Green and water areas assessment Impact on Heat island eﬀect Distance to energy consumption public transport CO2 emissions Transport emissions PM10 measurements PM10 mapping Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 8

12. iGUESS Modules (tools) Uncertainty engine Basic and input data Case study modules Baseline and scenarios Decision support Electricity Solar PV use Solar irradiation Water heating Solar thermal use Space heating Cadaster CO2 baseline Electricity computation Decision Wind power use support 3D model with roofs Electricity Biomass (waste) use Wind speed S. and w. heating and direction District heating Geothermal energy use Biomass Space heating availability Energy savings Green roofs construction Soil and rock properties Energy demand Fuel poverty analysis Scenario Impact Refurbishment plan building Green and water areas assessment Impact on Heat island eﬀect Distance to energy consumption public transport CO2 emissions Transport emissions PM10 measurements PM10 mapping Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 8

13. Solar Energy Potential Objective Find solar energy production potential in my city. Tell me where, how much and which roofs are suitable for PV technology. Approach Major input data: 3D city model, cloud cover,...; Compute high resolution (50 cm) solar cadastre with established model; Feed into energy scenarios until 2050. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 9

14. 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

15. Shallow Geothermal Energy Potential Objective Find geothermal energy production potential in my city. Tell me where, how much and which areas are suitable to drill to extract heat for space heating. Approach Major input data: 3D geological information, cadastre and building footprints, energy demand for buildings, ldots, Compute potential number of boreholes per parcel and associated heat extraction potential. Estimate demand satisﬁed and feed into scenarios. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 11

16. Shallow Geothermal Energy Potential Maximum number of boreholes per parcel and percentage of demand which can be satisﬁed Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 12

17. Shallow Geothermal Energy Potential Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 13

18. Energy Savings Potential (ESP) for Buildings Objective Predict energy needs of buildings at urban scale using a bottom-up approach. Identify energy savings potential for buildings at urban scale. Approach Major input data: Energy consumption, building information (age, function, state, surface, occupants), reference data, . . . . Compute energy consumption for diﬀerent uses from historical consumption data using above data in a regression analysis. Analyse energy savings potential from consumption and building renovation measures. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 14

19. ESP – Gas Consumption at building level Legend Gas 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

20. ESP – Electricity Consumption at block level Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 16

21. Fuel Poverty – Aberdeen Objective Map fuel poverty from building/block level to city scale. Link to RES and Energy Savings potentials to tackle fuel poverty and CO2 emission reductions at the same time. Approach Analyse relationships between variables for best disaggregation model. Use statistical model to compute Fuel Poverty at the smaller scale from identiﬁed variables. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 17

22. Fuel Poverty – Electoral Districts, Aberdeen 2005 Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 18

23. Linking Modules to an Energy Scenario Tool Uncertainty engine Basic and input data Case study modules Baseline and scenarios Decision support Electricity Solar PV use Solar irradiation Water heating Solar thermal use Space heating Cadaster CO2 baseline Electricity computation Decision Wind power use support 3D model with roofs Electricity Biomass (waste) use Wind speed S. and w. heating and direction District heating Geothermal energy use Biomass Space heating availability Energy savings Green roofs construction Soil and rock properties Energy demand Fuel poverty analysis Scenario Impact Refurbishment plan building Green and water areas assessment Impact on Heat island eﬀect Distance to energy consumption public transport CO2 emissions Transport emissions PM10 measurements PM10 mapping Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 19

24. Linking Modules to an Energy Scenario Tool Uncertainty engine Basic and input data Case study modules Baseline and scenarios Decision support Electricity Solar PV use Solar irradiation Water heating Solar thermal use Space heating Cadaster CO2 baseline Electricity computation Decision Wind power use support 3D model with roofs Electricity Biomass (waste) use Wind speed S. and w. heating and direction District heating Geothermal energy use Biomass Space heating availability Energy savings Green roofs construction Soil and rock properties Energy demand Fuel poverty analysis Scenario Impact Refurbishment plan building Green and water areas assessment Impact on Heat island eﬀect Distance to energy consumption public transport CO2 emissions Transport emissions PM10 measurements PM10 mapping Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 19

25. Energy Scenario Modelling Energy-Technology-Environment Model for MUSIC (ETEMM) A tool to explore urban development scenarios; Based on a techno-econometric model of the city’s infrastructure and energy demand; Calculates long term CO2 emission trends; Alternative scenarios can be developed using the potentials calculated by the Modules; Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 20

26. Energy Scenario Modelling Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 21

27. Energy Scenario Modelling Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 22

28. Developing an Emission Reduction Scenario Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 23

29. What’s next ? The MUSIC Consortium will complete the spatial information on renewables potentials in the cities and integration into the energy planning, enable the 5 partner cities to make full use of the possibilities of iGUESS via constant knowledge transfers and trainings, enable the Cities to generate maps in a fully automated way, look for possibilities to transport the tools and methods to other European Cities. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 24

30. What’s next ? The MUSIC Consortium will complete the spatial information on renewables potentials in the cities and integration into the energy planning, enable the 5 partner cities to make full use of the possibilities of iGUESS via constant knowledge transfers and trainings, enable the Cities to generate maps in a fully automated way, look for possibilities to transport the tools and methods to other European Cities. ⇒ Luxembourg would be a good starting point. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 24

31. Thank you for your attention! Olivier Baume, Christian Braun, Christopher Eykamp, Ru´ Martins, ı Olivier O’Nagy, Karine Paris, Kerry Pearce, Lu´ de Sousa, Daniel ıs Koster & Ulrich Leopold. Contact: Ulrich.Leopold@Tudor.lu www.theMusicProject.eu Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 25

32. Live demo iGUESS Start iGUESS Prototype Start iGUESS Development Version Start ETEM model Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 26

33. Questions for discussion Where do you see links to your daily work and/or life? What are the needs of your municipality to set up a more targeted and eﬃcient energy policy? Do you have the necessary information to build future energy scenarios for your city? Are GIS tools usually used to plan energy related topics in your ﬁeld? Would you like to collaborate on an implementation of such Modules/approaches for Luxembourg? How could citizens and local actors be involved? What kind of information should tools, such as iGUESS, contribute to make your work easier? Do you see business opportunities with such approaches? 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

34. Data manager Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 28

35. Calculation Modules Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 29

36. Calculation Modules Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 30

37. WebGIS Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 31

38. iGUESS Challenges Integrate diﬀerent models (modules) accounting for change of scale (building to city level), Handle uncertainties in data, model parameters and equations, Integrate heterogeneous information from distributed data bases, Implement complex spatial and temporal modelling tools as web-based services, Make complex spatial and temporal information accessible to stakeholders with the help of a web-based interface. Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 32

39. Architecture & Technologies Data Base Server Process Server PostgreSQL PROJ.4 GDAL/OGR PostGIS GRASS R Statistical Computing Data Base Connection Apache PyWPS Map Server Web Server PROJ.4 GDAL/OGR JQuery OpenLayers UMN Apache GeoNetwork Rails GeoExt MapServer Web Coverage Web Feature Web Map Catalogue Service HTTP Web Processing Service Service Service for the Web Connection Service Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 33

40. Optimisation of energy reference system Households Energy Production Agriculture Imports/ Exports Transport Industry Urban Energy Planning, Luxembourg – October 08, 2012 iGUESS 34

iGUESS An integrated Geospatial Urban Energy information and decision Support Systemn and decision Support System

iGUESS An integrated Geospatial Urban Energy information and decision Support Systemn and decision Support System

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