Gareth Rowlands ABB LTD

1. Gareth Rowlands ABB LTD

2. Output Input 100 % 20 % Potential is not used sufficiently !

3. The Challenge: Searching for the lost Energy … in Buildings

4. What's going to drive the future? • Legislation - Building Regulations (Low Energy Buildings Class) - Climate Change Levy - Availability of government sponsored grants (Tax relief) • Economic Pressure - The simple costs of running a building • The Environment - Social consciousness "Naming & Shaming" - Carbon footprint

5. Comfort …. • Security … • Economy ?? • How ? How much ?

6. Case Study: Lighting - the conventional Approach Energy Calculation All figures are real figures used for the investment calculation of a new office complex in the United Kingdom.

7. Case Study: Lighting - the KNX Solution Energy Calculation

8. Assembly Hall + Office: Investment in KNX for Lighting Control with Presence Detection • Connected Load: 91,5 KW • Price per KWH: 0,093 € • Reduction: 45 % • Investment: 106 T€ • Saving per year: 8738 € • Return of Investment: • 10 years

9. University with Seminar Rooms: Comparision of two Rooms (Energy for Light)

10. University with Seminar Rooms: Comparision of two Rooms (Energy for Heating)

11. Efficiency Potential: Lighting Source: Energieeffizienz automatisien, LonMark Deutschland e.V. Comparison to reference buildings according to DIN V 18599 or prEN 15232

12. Efficiency Potential: Heating and Cooling Source: Energieeffizienz automatisien, LonMark Deutschland e.V. Comparison to reference buildings according to DIN V 18599 or prEN 15232

13. Customers ask ABB: How can KNX help ? Potential for Savings ? • Current Situation: There are some information, sometimes with figures, rarely with fundamental background (… save up to 82 % … ?! …) • Real measurement (e.g. with comparision of buildings) is hardly available (University Bremen)

14. Conclusion: Common project KNX and Energy efficiency with the university Biberach ABB Stotz-Kontakt Busch-Jaeger Hochschule Biberach • The university Biberach offers study courses in the field of building technology and is already working on the topic energy efficiency in buildings

15. Project description: Investigation ofaKNX-System with typical functions (Lighting, Shutter and blinds, HVAC) with defined conditions (Type of building, different user profiles) regarding possible savings Consideration and calculation of the possible savings based upon DIN V 18599 and prEN 15232 in combination with existing softwaretools Integration of products from ABB, including measurement of standby losses

16. Project progress: • Start: November 2007 • Finalized by the University Biberach until November 2008 • Followed by a preparation of the data for publication (Summary and Presentation)

17. Objection: Own consumption of the additional devices undo the possible savings • Investigation of the university Biberach • Typical own consumption of a KNX component: app. 200 mW

18. Room Temperature Control: conventional … Thermostat Stage 5 - does not work for sure ! Problem: Discipline of the user

19. Room Temperature Control: conventional … Thermostat Stage 3 - may be it works ? Problem: Accuracy

20. Room Temperature Control:intelligent … It works !

21. Room Temperature Control: intelligent… Presence depending Precise

22. Room Temperature Control: intelligent … Time depending

23. Room Temperature Control: intelligent … Event driven

24. A typical example: Heating - conventional not occupied Evening classes not occupied Morning lessons Afternoon lesson School Classroom Comfort 21ºC Comfort 20ºC mean room temperature ~ 19.5 ºC Night 16ºC 04:00 08:00 12:00 16:00 20:00

25. A typical example: Heating - according to demand not occupied not occupied Evening classes Morning lessons Afternoon lesson School Classroom Comfort 21ºC Standby 18ºC mean room temperature ~ 17.5ºC Night 16ºC 04:00 08:00 12:00 16:00 20:00 They say: A temperature reduction of 1ºC can mean energy savings of 6%.

26. Lighting Control: conventional … Illumination turned on, sun from outside, nobody in the room

27. Lighting Control: intelligent … Presence depending Constant Light Control

28. Blind control: conventional … Sun is shining, Blinds completely closed, Light on

29. Blind Control: intelligent … Sun is shining, Noon, Lamellas horizontal

30. Blind Control: intelligent … Sun shines , Afternoon, Lamellas slightly closed

31. Blind Control: intelligent … Sun shines, evening, Lamella almost completely closed

32. Conjunction of a few Functions: • Winter: Sun shines, no Person present,  Light on, Blinds up, Heating Standby Mode • Winter: Sun shines, Person present,  Licht on, Blinds in Position, Heating Comfort Mode • Winter: Sun does not shine, Person present,  Light controlled, Blinds up, Heating Comfort Mode • Winter (Weekend): Sun does not shine, no Person present  Light off, Blinds down, Heating in Frost Protection Mode

33. Conjunction of a few Functions: • Summer: Sun shines, no Person present,  Light on, Blind down, AC Standby Mode • Summer: Sun shines, Person present,  Light on, Blinds in Position, AC Comfort Mode • Summer: Sun does not shine, Person present,  Light controlled, Blinds up, AC Comfort Mode • Summer (Weekend): Sun does not shine, no Person present  Light off, Blinds down, AC off

34. Conclusion: An intelligent and energy saving solution e.g. in an office building should be as follows: • Presence Detection • Constant Light Control • Room Temperature Control • Shutter control depending on sun position All in one system  One consistent solution

35. Integration of Energy Meter Visualisierung

36. Save Energy and Costs • Inspection of consumers behaviour • Consumption becomes transparent • Fair splitting of costs • Internal billing • Detection of “Energy Thieves” • Creation of incentives for cost saving • Change of consumers behaviour • Approach for automation • Load management • Monitoring of the installation "If you cannot measure it, you cannot improve it." Lord Kelvin 1824 -1907 + Why measuring electrical Energy ? $