Solutions for energy efficient buildings and cities

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Solutions for energy efficient buildings and cities M.Sc Preslava Krahtova Research associate Institut for Information Management in Engineering (IMI) www.kit.

1 Solutions for energy efficient buildings and cities M.Sc Preslava Krahtova Research associate Institut for Information Management in Engineering (IMI) Outline Short presentation at KIT Research results in the field of Energy efficient buildings, FP7 funding Research results in the field of Smart Cities, industrial project

2 Karlsruhe Institute of Technology (KIT) Campus Nord Research Center Campus South University Two Missions: University of state Baden-Württemberg und national research center in Helmholtz-Gemeinschaft 350 professors, employees, students Mission: to be an international research institution having scientific excellence and world class level in research, training and innovation 3 Education, Research and Transfer at IMI

Solution for Inteligent Energy Efficient Buildings Funded by: FP7 Type: IP project Vision Objectives Improve energy efficiency in public buildings trough progressive and intelligent knowledge

3 Solution for Inteligent Energy Efficient Buildings Funded by: FP7 Type: IP project Vision Objectives Improve energy efficiency in public buildings trough progressive and intelligent knowledge modeling approach - Development of holistic energy characterization methodology. Specific ontology based approach enhanced with occupancy and sensitivity analysis. - Contribution to semantic models trough intelligent knowledge base with reasoning capabilities implementation. - Energy monitoring, optimization and capability enhancement trough data mining and energy simulation. - Interactive Energy interface - Wide EU application of the test experience: 5 buildings from 4 different EU countries - live repository of historic and near to real-time monitored data. - Knowledge transfer to EU industry and research. - Contribution to Standards ( IFC) 5 Solution for Inteligent Energy Efficient Buildings Architecture Joint historical/simulated data 6

- Contribution to semantic models trough intelligent knowledge base with reasoning capabilities implementation.

4 Solution for Inteligent Energy Efficient Buildings Ontology Development Concept User Domain Expert 1 T-Box KB Generic Ontology Alignment: Class Annotation 2 IFC IFC-OWL mapping BuildingElement, Placement 3 Building Specific Ontology 6 Behaviour T-Box + A-Box + R-Box KB BuildingControl, Actor, Goal, States 4 BuildingControl 5 BAS Enrichment : SWRL Simulated data OntoCAD Behaviour Modeler Data Mining 7 Solution for Smart Cities the EnBW Light Master Tool Motivation - 9 Mio street lights in Germany 4 TWh - Sustainable products are expression of the city uniqueness - Fragmentation by different modernization measures, technologies and vendors long and non-transparent decision-making process Topic: Visualization of street lighting Objectives - Online-based sales support - Calculation of technical and economic metrics - Inteligent generation of possible alternatives - Target groups: planner, architects, engineering buros, 8

Data Mining 7 Solution for Smart Cities the EnBW Light Master Tool Motivation - 9 Mio street lights in Germany 4 TWh - Sustainable products are expression of the city uniqueness - Fragmentation by

5 Solution for Smart Cities s n e itiz C Total costs = Investment + Operation Alternativen CO2-emmissions Aesthetics Product quality & Photometric properties Inteligent control Light polution rs e k a -m n io is c e D Idee Concept phase Planning Realization 9 Solution for Smart Cities the EnBW Light Master Tool 10

properties Inteligent control Light polution rs e k a -m n io is c e D Idee

6 Thank you for your attention! M.Sc. Preslava Krahtova Research Associate Karlsruhe Institute of Technology (KIT) Institute for Information Management in Engineering (IMI) Zirkel 2, Bld , Room Karlsruhe Telefon: +49 (0) Mobil: +49 (0) Fax: +49 (0)

for Information Management in Engineering (IMI) Zirkel 2, Bld. 20.

Smart Data Innovation Lab (SDIL)

Smart Data Innovation Lab (SDIL) Accelerating Data driven Innovation NESSI Summit May 27, 2014 Prof. Dr.-Ing. Michael Beigl Department of Informatics KIT University of the State of Baden-Wuerttemberg and