1. Professor Colin Pattinson Head of School Computing, Creative Technologies and Engineering The JISC Heat & Light by Timetable project From Heat & Light to BEST

2. The problem Mixed estate – Age – Size – Location – Use – Heating control Rooms heated 8 – 20:00, Mon – Fri Irrespective of actual use

3. Teaching space use Timetabled according to operational requirements Rooms are – Pooled – available to any user – Specialist – e.g. laboratories – Meeting rooms

4. Example room use – pool Booking period: 09.00 – 10.00 – 11.00 11.00 – 12.00 12.00 – 13.00 13.00 – 14.00 14.00 – 15.00 15.00 – 16.00 – 17.00 Pool rooms: Midday Am Pm Distributed

5. Example room use – specialist rooms Booking period: 09.00 – 10.0010.00 – 11.0011.00 – 12.0012.00 – 13.0013.00 – 14.0014.00 – 15.0015.00 – 16.0016.00 – 17.00 Midday am pm Distributed

6. Example room use – meeting rooms Booking period: 09.00 – 10.0010.00 – 11.0011.00 – 12.0012.00 – 13.0013.00 – 14.0014.00 – 15.0015.00 – 16.0016.00 – 17.00 Meeting rooms: Midday am pm Distributed

7. The timetable Centralised system (CMIS) Day Time Finish Length Event Id Size* Grp* Class (course) Grp Module Lecturer Site Room Booking id* Weeks Year (of course) Details Department Mod (module code) Course Capacity Category* Type* Class* Zone* Classif (tut, prac, etc) Created User Instance Changed Campus Num weeks (of use) * indicates currently unused fields

8. Building Management System

9. The idea Use the CMIS data to determine when rooms are in use; Use this information to generate heating control All we need is a link between CMIS and BMS

10. Time lags Takes time to heat a space, Residual heat remains afterwards

11. Interface software Retrieve data from CMIS – Room number – Day – Start & stop time Convert to BMS control sequences – Time zone start and stop

12. Building “blocks” BMS operates HVAC controls based on zones CMIS works on a per-room basis Need to allocate rooms into BMS blocks – If one room in a block in use – the whole zone needs heating

13. Next steps Fuller operation of the system Two more research projects – A PhD project extending the idea – A modelling project to calculate estimated savings – Building Energy Scheduling by Timetable

14. BEST – Building Energy Scheduling by Timetable Thermal modelling – Includes heat flows Allows estimated energy saving – For retrofitting

15. BEST outputs Potential 10% energy saving See our upcoming paper – PREDICTING AND OPTIMIZING THE PERFORMANCE OF A TIMETABLE LINKED BUILDING ENERGY MANAGEMENT SYSTEM To be presented at Building Simulation and Optimization 2014 23/24 June, UCL

16. The model:

17. Thank you