Smart Cities. Integrated approach for innovative technologies. 2nd Annual Conference of the ETP on. Budapest, 6th May 2011



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Smart Cities Integrated approach for innovative technologies 2nd Annual Conference of the ETP on Renewable Heating and Cooling Budapest, 6th May 2011 Brigitte Bach, AIT Energy Department

Low Carbon Economy Roadmap 2050 EU GHG emissions towards an 80% domestic reduction (100% =1990) 2

Low Carbon Economy Roadmap 2050 Sectoral reductions 3

Resulting Framework Conditions Changing Europe s Energy System according to Climate Policy Needs Energy efficiency Renewable Integration Safe, secure and affordable energy supply (*) Europe`s leadership in energy technology and innovation (*) Strengthening the role of cities High living standards for citizens Sustainable environment for next generations High competitiveness of the cities 12.05.2011 * Source: G. Öttinger, 10.11.2010 4

Future Urban Energy Systems Radical innovation for urban energy systems Smart Cities require new approaches Fully integrated designed and intelligent managed energy systems From a single technology perspective to a multi technology perspective 12.05.2011 Source: Smart Grids Austria 5

Smart Cities ICT & Energy Technologies are merging Intelligent energy management on regional & city level Energy Planning Smart Grids Active Buildings Supply Technologies Mobility New Business Modells 12.05.2011 6

Masterplanning Lessons learned - CONCERTO Strategic planning integration: Integrated urban and energy planning Technical, economic, ecologic dimension Process integration: planning and implementation processes for different project types 12.05.2011 7

Integrated Approach in practice Lessons learned - CONCERTO Technical integration: Energy Efficiency and Renewables Integration Physical integration of renewable energy systems in urban built environment Considering to match supply and demand during time: energy management Considering to match supply and demand in terms of temperature 12.05.2011 8

Stakeholder Groups Mayors, politicians City administration Utilities, energy service companies, grid operators (electric, thermal) Developers, architects, planners construction companies Component manufacturers Windows, facades, VAC components On site renewables PV, solar thermal, heat pumps,.. ICT companies Financial Institutions R&D institutes and universities Inhabitants 12.05.2011 9

Smart Cities Research and Implementation topics Energy Planning Performance characteristics of city areas Morphology, end use mixes, building energy performance characteristics etc. Methods and tools for simulations (scientific level, city management level) Smart Grids New methods for energy networks planning and operation Smart electric grids (including energy management) Smart thermal grids (heating-, low temperature heating, cooling) Use of potential for shift between thermal and electric load Load management for optimized power station performance E-Mobility grid integration 12.05.2011 10

Smart Cities Research and Implementation topics Active Buildings (i.e. housing, industry) Energy efficient, passive houses Energy generation (on site-renewables) Active demand side management, supply & demand profiles optimization (building to grid) Supply technologies On-site renewables (i.e. solarthermal, PV, heat pumps, small wind) Integration in District Heating and Cooling Networks Cascade use of resources Transport Public Transport Modal Split, E Mobility, new fuels 12.05.2011 11

Smart District Heating Networks Research project within the Smart Grids Modellregion Salzburg National funding, consortium: AIT, Salzburg AG, (municipal DH supplier) Aim: analysing and evaluating the potential of Smart Grid concepts for district heating systems in the model region of Salzburg Method: Dynamic network simulation and model calculations are applied to investigate intelligent operation strategies and control mechanisms for the reduction of peak loads. 1. Modelling and simulation of the current network state 2. Evaluation of selected smart grid measures in the DH network Power in kw Time in min Temperature [ C] Q normalised [-] 100 50 Supply temp nostorage Supply temp withstorage 0 Return temp nostorage 0 5 10 15 20 Return 10 temp withstorage 15 1.5 1 0.5 consumption 0 0 5 10 15 20 25 Time [h]

Possible smart grid measures in thermal networks I Load shifting and additional consumers Controllable loads (building mass (e.g. night set back), storage for domestic hot water, swimming pools...) power temperature 0 2 4 6 8 10 12 14 16 18 20 22 peak load time peak load time Intelligent household appliances with connection to DH T max Time in h Introduction / expansion of district cooling systems controlling heating power for 1. minimisation of peak loads 2. keeping comfort level 3. adapting to fluctuating energy resources Central / decentral heat storages (long- and short term), utilizing the capacity of the thermal network (controlling the supply temperature) T min T night

Possible smart grid measures in thermal networks II Operational parameters and network controlling Utilising heat pumps for temperature lifting / production of cold joined control of decentralized producers (virtual heating plant) Modification of the pressure- and temperature level (low temperature networks), integration of passive buildings in the return line 80 C e.g. biomass CHP, industrial waste heat 25 C 50 C passive building solar thermal energy e.g. building stoke, warm water preparation Advantages of low temperature DH networks: lowering invest- and operational costs Potential to exploit renewable resources like low temperature waste heat But: warm water preparation difficult! (temp. above 65 C necessary for warm water storage), solutions: additional heating or direct heating w/o storage

Possible smart grid measures in thermal networks III Structural measures Formation of autonomous micro-networks, independent control of single segments, balancing with central distribution network Variable hydraulic integration of decentral producers in the network Multi-piping and innovative bypass systems 80 C 50 C VL RL 25 C Introducing the consumer, socio-economic aspects Incentive systems, time depending variable tariffs, visualisation of the saving potential Innovative business models (e.g. heat contracting, heat accounting for m 3 instead of kwh)

Towards a Smart City Stakeholder involvement - new governance systems Vision committed targets (energy efficiency, renewable integration, GHG emissions..) Roadmap and Implementation Plan (measures defined) Technical, policy and economic dimension Implementation Highly innovative European lighthouse projects and measures Replication of innovative concepts and measures Rollout of market accepted measures Living Lab Concept keep innovation cycle moving Continuous stakeholder involvement 12.05.2011 16

AIT Austrian Institute of Technology your ingenious partner Brigitte Bach brigitte.bach@ait.ac.at