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KnoholEM: Knowledge-Based Energy Management for Public Buildings

Explore a project focusing on energy management in public buildings through holistic information modeling and 3D visualization. Learn about the consortium, demonstration objects, concept overview, expected impact, research results, and dissemination strategy.

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KnoholEM: Knowledge-Based Energy Management for Public Buildings

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  1. KnoholEMKnowledge-based energy management for public buildings throughholistic information modeling and 3D visualization

  2. Outline • Main project data • Consortium experience • Demonstration objects presentation • Project concept overview and work packages • Expected impact and main research results • Dissemination strategy and achievements for the first 2 years

  3. Project Data (1-2) Life span: 36 months 01.02.2011 – 01.09.2014 Funded by: FP7, EU Type: IP project • Call: FP7-2011-NMP-ENV-ENERGY-ICT-EaB Budget • Total costs 4.468 Mio € • EU contribution 3.198 Mio €

  4. Project Data (2-2)

  5. Consortium Expertise : 12 Partners from 4 EU countries Energy modeling Knowledge and behavior modeling Smart metering KIT TCD BRE CETMA CU Research Partners MATRIX SME TERA Service providers and end users ISOTROL Bdigital HHS WSZ SmartHomes

  6. Demonstration Buildings • BluNEToffice building Seville, Spain • P.I.C.A office building, Seville, Spain Media-TC public building, Barcelona, Spain Forum Building combined public and residential building, Eindhoven, Netherlands, HaagseHogeschool, university, Haag, Netherlands

  7. Project concept overview

  8. SpecificOntology Population concept

  9. WP overview

  10. WP6Knowledge Management and Dissemination WP2 WP4 WP5 WP1 CAD layout recognition Behaviour Model Simulation Taxonomy Visualisation user in the Loop Energy Profiling Building Specific Ontology Energy Management System Integration Generic Ontology WP3 Algorithms for energy optimisation Data Mining algorithms Sensing devices framework Energy Controller KnoholEM framework WP7 Project Management

  11. Project GANTT

  12. Expected Impact - Benefits

  13. Strategic Research Results Final solution Main expected tools Intelligent assistance system dedicated to public buildings. Could be connected to each BMS and support the user ( facility manager, occupants etc.) to take appropriate decisions for improving building energy efficiency.

  14. Dissemination summary for the first 2 years

  15. M.Sc. PreslavaKrahtovaResearch AssociateKarlsruhe Institute of Technology (KIT)Institute for Information Management in Engineering (IMI)Zirkel 2, Geb. 20.20, Raum 256 76131 KarlsruheTelefon: +49 (0)721 608-46622Mobil: +49 (0)176 27735888Fax: +49 (0) 721 608-43984E-Mail: preslava.krahtova@kit.eduwww.imi.kit.edu Thank You

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