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Professor Colin Pattinson from Computing at JISC introduces a new project aimed at optimizing heating control in mixed-use estates by linking the Centralised Management Information System (CMIS) with the Building Management System (BMS). The project seeks to use data from timetabled room usage to enhance energy efficiency by controlling HVAC systems intelligently. By understanding room occupancy and heating needs, this approach could potentially lead to a 10% energy saving. Future research will expand this concept further to improve building energy scheduling and thermal modelling.
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From Heat & Light to BEST Professor Colin Pattinson Head of School Computing, Creative Technologies and Engineering The JISC Heat & Light by Timetable project
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
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 2014 23/24 June, UCL