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Decision Support Tool for Retrofitting a District, Towards the District as a Service

Decision Support Tool for Retrofitting a District, Towards the District as a Service. URB-Grade Concept. What will we develop? Decision Support Platform, District as a Service approach ( DaaS ) Who will take advantage of this Platform?

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Decision Support Tool for Retrofitting a District, Towards the District as a Service

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  1. Decision Support Tool for Retrofitting a District, • Towards the District as a Service

  2. URB-Grade Concept • What will we develop? • Decision Support Platform, District as a Service approach (DaaS) • Who will take advantage of this Platform? • City authorities and utilities as well as 3rd parties • What will this Platform do? • Information to improve the performance of a district in terms of • Energy efficiency • Cost effectiveness • Citizen Comfort

  3. URB-Grade Concept • How does the platform work? • Collecting data from (a) Distributed sensors, (b) Open data sources and (c) Survey based data • Processing data using CEP to generate relevant information for the DaaS platform • Using information to provide advice to improve district performance

  4. URB-Grade Architecture

  5. URB-Grade Components DaaS Profiling Module - the module allows the end user to input particular characteristics of a district into a common data base. Characteristics include the consumer, type of consumer and installations – as a district profile based on a District Onthology. This also includes the measurable KPIs to monitor the district’s energy efficiency.

  6. URB-Grade Components DaaS Quantification Module – the module enables the data acquisition from statistical, survey and real-time data; the processing of the data using CEP and structuring & storage of the data in a common format based on the District Onthology.

  7. URB-Grade Components DaaS Analysis Module and Decision Support Dashboard – the module allows the end user to analyse data from the quantification module and to visualise KPIs, as well as access the Prediction Module.

  8. URB-Grade Components Prediction Module – the module jointly with the Decision Support Dashboard enables the end user to define and forecast upgrade scenarios for the district and evaluate different scenarios to identify the most cost effective and beneficial solutions towards citizens.

  9. Objectives Of The 3 Pilot Sites Town of Eibar, Spain • The assessment of the Current Street Lighting Systems deployed in Eibar • Support for deciding which actions and in which city areas should be taken to reduce the consumption without compromising the quality of the service. Town of Barcelona, Spain • The assessment of the street‐shops consuming profile in Barcelona • Support for deciding which actions and in which street‐shops should be taken to reduce the consumption without compromising the comfort. • Town of Kalundborg, Denmark • The assessment of the use of electric vehicle (EV) charging stations and consumption profiles of residential homes in Kalundborg • Support for policy decisions to improve the energy efficiency and use of renewable energies for residents and EV users.

  10. Consortium • 3 EU Countries • Denmark • Finland • Spain • 2 LE’s • TELVENT GLOBAL SERVICES SA Spain • SEAS-NVE HOLDING AS Denmark • 2 SME’s • THT CONTROL OY Finland • FENIE ENERGIA SA Spain • 3 RTD’s • ALEXANDRA INSTITUTTET Denmark • FUNDACION TEKNIKER Spain • TTY-SAATIO Finland • 2 Cities • AYUNTAMIENTO DE EIBAR Spain • KALUNDBORG KOMMUNE Denmark

  11. Project Facts • Coordination by the ALEXANDRA INSTITUTE • 39 month duration project • Total funding of 2.663.720 € • FP7-2012-NMP-ENV-ENERGY-ICT-EeB call • EEB-ICT-2011.6.5: ICT for energy efficient neighbourhoods” research area • Start date: 2012-11-01 • End date: 2016-01-31 • Contract Number: 600058

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