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Implementing KPIs for energy performance assessment in brownfield districts

Implementing KPIs for energy performance assessment in brownfield districts. Anna Florea. Sustainable Places 2014, Nice, France. October 1, 2014. Introduction. Districts Brownfield vs. greenfield Need for change Feasibility study Citizen in the loop. Value-chain. Services :

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Implementing KPIs for energy performance assessment in brownfield districts

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  1. Implementing KPIs for energy performance assessment in brownfield districts Anna Florea • Sustainable Places 2014, Nice, France October 1, 2014

  2. Introduction Districts Brownfield vs. greenfield • Need for change • Feasibility study • Citizen in the loop

  3. Value-chain • Services: • street lighting, district heating, electric power supply • Actors: • municipality, utilities, consultants, citizens • Districtprofile • DaasCloudPlatform Eibar, Spain Kalundborg, Denmark Barcelona, Spain

  4. Study of data sources What kind of information can be captured? • How secure and reliable should be the connection from the pilot site to the platform? • How intensive is the communication between the pilot site and the platform (Data rate and message rate)? • Which are the data sources visible for the platform and vice versa? • Considerations for third party data sources, if any. • Protocols supported by the data sources? • Availability of the data source in terms of legal access to it? • Source of the data (a specific web-site, institution etc.)? What are the data sources? What are the communication patterns?

  5. KPI definition Energy performance Feasibility of energy savings Relationship between energy consumption and the needs covered. Relationship between the cost of the change in a current energy scenario and the profit obtained with this change

  6. Data Acquisition • Scope of every data source. • Pilot site • Cloud • Entry point to the platform • Aggregation interface • Profiling Module • Horizontal Services • gateways are hubs of pilot sites data sources. • Pilot sites always start the communication to the DCP.

  7. KPI Computation • Rules and calculations • EPL syntax • Computation triggered by incoming messages • Engages profile data • Data storage • Instantiation Data • Energy Profiles • Sensed Data • Key Performance Indicators

  8. Example: Eibar Pilot site

  9. Conclusions • The solution focuses on the brownfield districts and is driven by requirements consolidated from use-cases of different type and scale and having different retrofitting targets. • Multi-tenancyis an important feature of the solution allowing managing multiple locations within one instance of the platform. • District performance, retrofitting campaign feasibility and citizen’s comfort considered as main drivers for KPI selection. • A common KPI computation approach is defined, fitting different kinds of indicators, found throughout the requirements analysis.

  10. Thank you! Questions? anna.florea@tut.fi http://urb-grade.eu

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