Professor Colin Pattinson Head of School Computing, Creative Technologies and Engineering The JISC Heat & Light by Timetable project From Heat & Light to BEST
The problem Mixed estate – Age – Size – Location – Use – Heating control Rooms heated 8 – 20:00, Mon – Fri Irrespective of actual use
Teaching space use Timetabled according to operational requirements Rooms are – Pooled – available to any user – Specialist – e.g. laboratories – Meeting rooms
Example room use – pool Booking period: – – – – – – – – Pool rooms: Midday Am Pm Distributed
Example room use – specialist rooms Booking period: – – – – – – – – Midday am pm Distributed
Example room use – meeting rooms Booking period: – – – – – – – – Meeting rooms: Midday am pm Distributed
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
Building Management System
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
Time lags Takes time to heat a space, Residual heat remains afterwards
Interface software Retrieve data from CMIS – Room number – Day – Start & stop time Convert to BMS control sequences – Time zone start and stop
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
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
BEST – Building Energy Scheduling by Timetable Thermal modelling – Includes heat flows Allows estimated energy saving – For retrofitting
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 /24 June, UCL
The model:
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