Smart Green Neighbourhoods. Martine Tommis Manchester City Council IREEN Project Coordinator

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1 Smart Green Neighbourhoods Martine Tommis Manchester City Council IREEN Project Coordinator

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6 7 roadmap elements Neighbourhoods Transport Buildings, Infrastructure & Public Spaces Energy Production & Storage Energy Distribution People involvement State of the Art what is currently happening Vision what would the future look like? Impact what do we want to achieve? Drivers what are the reasons for doing this? Barriers why is it hard to achieve? Stakeholders - who is involved?

7 IREEN taxonomy matrix Application areas Technology areas Neighbourhoods Transport Energy Efficient Districts & Neighbourhoods Buildings, Infrastructure & Public Spaces Energy Production & Storage Design planning Decision support Energy Distribution People involvement Energy Management Integration Technologies

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9 Participating Cities Birmingham City Council Cardiff City Council Chamber of Commerce Barcelona City Council of Riga City of Amsterdam City of Barcelona City of Ghent City of Lecce City of Manchester City of Oldenburg City of Porvoo City of Riihimäki City of Sofia City of Tampere City of Vantaa City of Vienna Genoa Municipality Highlands and Islands European Partnership Leeds City Council Métropole Nice Côte d Azur Milton Keynes Council Municipality of Rome Czestochowa City Council Region of Istria Regional Development Agency Gorenjska Regione Puglia Representation of Usti Region Representation of Vysočina Region Riga City Council Rogaland County Council San Sebastián de los Reyes Tarragona Torino Municipality Warrington Borough Council Welsh Assembly City of Zaragoza Zealand Denmark EU Office

10 ALSTOM Beijing Software Enterprise Advisory Center Byn Studio, Shanghai Climate Group, Beijing Dalian University of Technology Digital China Information Service Company Enclave, Shanghai -specialized in sustainability- Endesa Freelance. Experience on urban planning and bioclimatic neighbourhoods IE Design, Shanghai Miralles and Tagliabue Studio in Shanghai Nanjing University of Information, Science and Technology Schneider Electric The Pudong Smart City Research Institute, Shanghai Tongji University Xial, domotics company City of Yantai Handan City Information Center City of Qingdao City of Yangyuan Engineer Associate Architect Manager Strategic Partnership Professor (building environment and equipment engineering) General Manager Architect Economist Architect Associate, Design Director and Architect Architect Professor Engineer Facility Building Department and Tongji Clean Development Mechanism Telco Engineer ICT Smart City Construction Office MD / Owner Roland Liu Consulting Section Chief, ICT and Urban planning department

11 Making of the roadmap for RTD & innovation needs for ICT supporting EE neighbourhoods State-of-the-art with collecting cartography of ongoing and recent projects Experts and stakeholders Building of future scenarios: examples of the vision Building the RTD, innovation & take-up roadmap: How to get from SoTA to vision?

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13 Example of a roadmap section: neighbourhood planning 1/2 Drivers Barriers Impacts Political pressure on districts, urban or rural, to design energy efficient neighbourhoods. Sustainable action plans of cities. A high percentage of neighbourhoods with old infrastructures. Opportunities for EE improvements via holistic approaches using ICT. Lack of interoperability. Communication and standardisation difficulties across organisational boundaries. Lack of relevant data. Difficulties to foresee the impacts of EE interventions. Holistically operating energy efficient neighbourhood. Ability to intelligently react to changes. Simplified metrics on energy efficiency. More synergy working with partners on strategy, vision and long-term actions. Stakeholders City planners, inhabitants, energy companies, district network operators, construction sector, transport sector, innovation and digital entrepreneurs.

14 Example of a roadmap: neighbourhood planning 2/2 Sub-system focused approach. Non-digitised spatial data. Nonintegrated databases with limited access. Noninteroperable discipline specific tools. State-ofthe-art Short term Medium term Long term Design, planning and realisation Open access to District-scale design, various databases for simulation and multicriteria ICT tools and design and planning. optimisation tools. platforms for integrated ICT standards for Neighbourhoods multidisciplinary neighbourhood level configuration tools collaborative design information sharing relying on pre- & planning. including data designed parametric privacy. solutions. Visualisation of spatial and other relevant data (e.g. social trends), as well as their impacts and changes related to energy efficiency. Decision support Mature smart neighbourhood models showing interdependencies between energy systems and behaviours. Vision Energy efficiency at the heart of holistic planning of new and existing neighbourhoods.

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16 Key ICT needs: Implementation recommendations Integrated planning and operation of energy efficient neighbourhoods

17 ODYSSEUS Project Developing an intelligent systems for heat networks Model and predict energy demand for a network Town Hall Extension 8 pilot

18 Thank you

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20 Scenarios What will the future look like?