1. CONCERTO Premium Technical Monitoring Database & Semantic Layer Milan Marinov, KIT Prof. Andreas Wagner 23.10.2012, Brussels

2. Objectives Show how the data of CONCERTO projects is managed in the database Introduce the Technical Monitoring Database and Semantic Layer components Give a basis for a discussion Collect feedback

3. General data from CONCERTO project sites Energy Data Economic Data Technological Data Data about Political Instruments Social Data country data Indicators A AA A A AA A Website Visualization Environment CONCERTO projects Intelligent queries TMD Semantic Layer CONCERTO Premium – Information flow

4. Premium TMD: Flexible Data Management

5. Semantic layer: Flexible Indicator Calculation

6. Software Components Overview TMD Concerto Data TMD Concerto Data Semantic Layer CONCERTO Knowledge Base Default facts & rules Customized facts & rules Data Monitor Data Monitor Visualization Reasoner Interactive sandbox

7. TMD key data 159.018 data nodes 169.695 relationships

8. Building, Ref. Building, Area Relationships

9. Data Sheets and the TMD Integrity of relations depends on the quality of IDs and references in data sheets

10. More about data collection and data quality will be discussed in the workshop „Status quo of buildings, data and indicators first results“

11. Software Components Overview TMD Concerto Data TMD Concerto Data Semantic Layer CONCERTO Knowledge Base Default facts & rules Customized facts & rules Data Monitor Data Monitor Visualization Reasoner Interactive sandbox

12. Concerto Premium SL Functionalities Defines the meaning of data fields, e.g. how do different types of floor areas relate to building capacity. Defines the contexts in which indicator variables are calculated. Defines the indicator calculation formulas Performs indicator calculations Enables definition and management of customized calculation formulas

13. SL Example: Data Collection / Data Import Building 1 120 kWh/(m²a) 10 kWh/(m²a)100 m²4 Building 2………… Building 3………… Building 1……… Building 2150 kWh/(m²a) 110 m²2 City 1 City 2 CONCERTO Premium Technical Monitoring Database …………Building 2 4100 m²10 kWh/(m²a)120 kWh/(m²a)Building 1 …………Building 3 …...Building 1 2110 m²150 kWh/(m²a)Building 2...

14. SL Example: Approximation Rules Customized Facts & Rules, City 1 Customized Facts & Rules, City 2 Default Facts & Rules A: Energy consumption for space heating and domestic hot water = Energy consumption for space heating + Energy consumption for domestic hot water B1: Approximated energy consumption for hot water = floor area * energy consumption for hot water/ floor area of a comparable building B2: Approximated energy consumption for hot water = #Occupants * energy consumption for hot water/ occupant of a building C: Buildings are comparable if the difference of the building floor areas is less than 20%

15. Rules and data interpretation Rule configurationBuilding 1Building 2 Without rules120? Rule A120SH < 150 & DHW < 150 Rules A & B1120SH<150 & SH==139 Rules A & B2120SH<150 & SH==145 Rules A & B1 & C120SH<150 & SH==139 Rules A & B1 & B2 & C120SH<150 & 139<SH<145

16. More about indicators and first results will be discussed in the workshop „Status quo of buildings, data and indicators first results“

17. Software Components Overview TMD Concerto Data TMD Concerto Data Semantic Layer CONCERTO Knowledge Base Default facts & rules Customized facts & rules Data Monitor Data Monitor Visualization Reasoner Interactive sandbox

18. Data Import using the Data & Rules Monitor

19. Software Components Overview TMD Concerto Data TMD Concerto Data Semantic Layer CONCERTO Knowledge Base Default facts & rules Customized facts & rules Data Monitor Data Monitor Visualization Reasoner Interactive sandbox

20. Customized rules in the interactive sandbox B2: Approximated energy consumption for hot water = #Occupants * energy consumption for hot water/ occupant of a building

21. Simplified rule specification in the IS

22. More about visualization, indicator calculaton and queries to come in the following presentation

23. Questions?

24. Thank you for your attention

25. BACKUP

26. Interactive Database Queries Can be performed from the web based visualization or from the console Can have different levels of complexity Increasing levels of complexity being implemented incrementally in the web-based visualization

27. CONCERTO rule packages

28. CONCERTO user accounts for rules

29. Rule Categories

30. More about indicators and first results in the workshop „Status quo of buildings, data and indicators first results“

31. Example: Energy Consumption for Space Heating Goal: Comparison of building 1 and building 2 with respect to the space heating demand City 1, Building 1: –Energy consumption for space heating: 120 kWh/(m² a) –Energy consumption for hot water: 10 kWh/(m² a) –Floor area: 100 m² –Occupants: 4 City 2, Building 2: –Energy consumption for space heating and domestic hot water: 150 kWh/(m² a) –Floor area: 110 m² –Occupants: 2

32. User Groups and Roles Every Concereto participant: Web-based visualization interface –Target group specific visualization scenarios –Intelligent queries Search for Concerto objects in the TMD Perform indicator calculations Compare Concerto objects Energy, environmental and economical experts: –Access to user specific rules Add or modify their own version of selected rules Share the rules/knowledge with other Concerto experts –Access to TMD console Perform ad hoc queries on Concerto raw data

33. Rule sharing Manual for CONCERTO expert knowledge sharing Types of rules –Core rules –Indicator calculation rules Types of access management –Access per package. Packages are organized by projects and project sites –Access per category Valuable input: Feedback and discussion about customizable rules

34. Intelligent queries Building District Heating CHP Electricity Photovoltaics Country