EUROPEAN INSTITUTE FOR ENERGY RESEARCH ECEEE Summer Study 1-6 June 2009 EUROPÄISCHES INSTITUT FÜR ENERGIEFORSCHUNG EUROPÄISCHES INSTITUT FÜR ENERGIEFORSCHUNG INSTITUT EUROPEEN DE RECHERCHE SUR L’ENERGIE INSTITUT EUROPEEN DE RECHERCHE SUR L’ENERGIE EUROPEAN INSTITUTE FOR ENERGY RESEARCH EUROPEAN INSTITUTE FOR ENERGY RESEARCH 3353 Energy demand in city-regions - methods to model dynamics of spatial energy consumption Sébastien GIRARD, Christian KEIM, Markus PETER
Agenda Agenda Introduction to urbanisation and its dynamics Urbanisation and energy – scale and interaction – Scales of assessment and localisation – Localisation of energy demand – Dynamics of urban development – Modelling and simulating the time and spatial evolution of urban spaces Conclusion 2
Urbanisation Urbanisation 3
Challenging situation Challenging situation 4
Growing urban population Growing urban population National Bureau of Statistics of China (BVSC), 2006 United Nations Population Division (UNPD), 2006 5
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Building density in Ile de France - Paris Building density in Ile de France - Paris 7
Patterns of former greenfield development Patterns of former greenfield development 8
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Building stock Building stock 10
Building typologies Building typologies Institut für Wohnen und Umwelt (IWU), Darmstadt 11
Energy standards Energy standards 12
Life cycle analysis of buildings Life cycle analysis of buildings ressource consumption & impacts energetic refurbishment time (years) Use + maintenace Use + maintenace Use + maintenace new partial total deconstruction construction refurbishment refurbishment evolution of standards initial value use value end of life time lost resources time (years) 13 Kohler, N. (2003). Lebenszyklusanalyse im Planungsprozess von Gebäuden. Darmstadt.
Demolition rates Demolition rates Hassler, U. and N. Kohler (2004). Das Verschwinden der Bauten des Industriezeitalters: Lebenszyklen industrieller Baubesta¨nde und Methoden transdisziplinärer Forschung. Berlin, Wasmuth. 14
Survival function Survival function Bradley, P., E. K. N. Buergel-Goodwin, et al. (2005). "Survival functions of building stocks and components." 15
Localisation / Simulation Localisation / Simulation 16
Modelling and simulation Modelling and simulation Demand and supply depend on various local characteristics Time and space simulation: land use evolution, interaction between components of the urban system Geographical Information Systems (GIS) Cellular automata Agent-based modelling (ABM) 17
CORINE Land Cover (100 m*100 m) CORINE Land Cover (100 m*100 m) 18 18
Infoterra LaND 25 (25 m*25m) Infoterra LaND 25 (25 m*25m) 19 19
Basics of spatial simulation 20
Energy demand mapping Energy demand mapping 21 21
Energy demand mapping Energy demand mapping 22 22
Energy demand mapping Energy demand mapping 23 23
Localisation Localisation 24
Sectoral dynamics Sectoral dynamics 0 City 1 Habitation 2 Industry 3 Tertiary 4 Infrastructure energy about 30% about 30% about 10% about 30% consumption appropriate 500 – 1000 m 2 - 4 km 500 – 1000 m spatial scale time scale 30-60 years 5-30 years 5-30 years 50-100 years adaption slow fast fast slow process based on private based on global based on global based on political decisions decisions decisions decisions split private ownership “unified” ownership “unified” ownership 25
Energy typology of urban space Energy typology of urban space Initial situation: Classification / Typology Breakdown of demand Breakdown of end- complex urban system Energy demand per end-uses uses per energy carriers kWh/yr Objects kWh/yr Objects kWh/yr kWh/yr Objects Objects 26
Buildings and processes Buildings and processes 100% 0% Industry Proc. Bldg. Tertiary Residential 0% 100% Energy demand 27
Constitution and sources of energy typology Constitution and sources of energy typology Building Existing Economic Specific typologies energy classifi- classifi- typologies cations cations Developed energy typology 28
Tool development Tool development Software resources: • AnyLogic: ABM, SD, DE, GIS impl. • NetLogo: ABM, GIS impl. 29
Conclusion Localisation of energy demand Methods of simulation on different scales Prognosis of urban development and resulting energy needs Integration to existing methods Communication to local authorities and spatial and energy planners 30
Thank you for your attention ! Contact: peter@eifer.org girard@eifer.org keim@eifer.org 31 EIFER 2009 / Infas
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Cell fuzziness – 250x250 aggregation Cell fuzziness – 250x250 aggregation 33
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Integrated urban planning Integrated urban planning Local Planning Authority Energy Supply Company City Planner Energy Services City Architect Engineer Building Builder HVAC Planner Source: EIFER 2008 35
Dichte Dichteparameter als Grundlage für die Energienachfrage 36
CONSENS - Cooperative Networks for Sustainable Energy Solutions ´ Outlook - Simulation to predict urban development - Moduls of Visualisation - Complementary knowledge to urban development (EnyCity) - Communication to planners and local authorities - Basics for local energy planning 37
Life cycle model of urban fragments Life cycle model of urban fragments 38
Introduction to urban spaces Introduction to urban spaces The infrastructure and building stock is one of the largest physical, economical and cultural capital of European societies. 39 39
Urban dynamics Urban dynamics • Main questions Main questions – Which are the driving forces for urban transformation? – Which are the resulting energy demands? – Which data are usable for the simulations? • Methods Methods – Regional spatial analysis – Model of the transformation of building stock – Possible influences of transportation – Case-study Metropolregion Stuttgart – Definition of criteria for adaptation and classification of existing tools • Simulation methods Simulation methods – Develop an allocation methodology of energy demand (data management, spatial statistics) – Create a simulation and visualization methodology in a forecasting approach (Geosimulation) – Develop a tool in a regional energetic and urban planning framework 40
Agenda Agenda • Auswirkungen der Stadtentwicklung auf die Energienachfrage 41
Agenda Agenda • Auswirkungen der Stadtentwicklung auf die Energienachfrage 42
Research scheme Research scheme Views Content Methods buildings, job market, urban structure statistics, random sample, cluster analysis Scope of Building stocks Land use, fallow ground, infrastructure statistics, random sample, ALK, aerial view Product-modelling, building research, Type of buildings, infrastructures Composition of building history building stocks Building history, statistics, Construction technique, morphology production of building material Alternative model, history of buildings, Dynamic of one building Dynamic of renovation of buildings, survival functions Building stocks Building history, urban geography, Dynamic of building stocks survival functions, pattern analysis GIS, maps, plans, land register, ALK, Urban fragments, towns Localisation of aerial view Building stocks cluster analysis, satellit views, Building stocks historical research 43
Adressaten: Levels and actors Adressaten: Levels and actors owners, developers, users, facility managers, Buildings planning professions, construction industry. Groups of buildings owners, users, facility managers, planners, construction industry. owners,developers, planers, users, state Towns , Neighbourhoods administration, political parties Infrastructures utility companies, state administration and technical service, planning authorities. utility companies, IT companies, state Actual and virtual systems admnistration, users 44
Kritische Bestands Parameter Zustand Bestand Überalterung Ökosystem Demographie Urbanisierung Altersvorsorge Anforderungen Kulturerbe Energieversorgung Umwandlungsgeschwindigkeit Institutionelle Regimes Finanzierungsmodelle 45
Technologien auf Quartiersebene Technologien auf Quartiersebene 46
Fields of acting – what should we know Fields of acting – what should we know 47
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