Presentation: Colin Pattinson, Leeds Metropolitan University

Download Report

Transcript Presentation: Colin Pattinson, Leeds Metropolitan University

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
Example room use – pool
Booking period:
Pool rooms:
Midday
Am
Pm
Distributed
09.00 –
10.00
10.00
– 11.00
11.00
– 12.00
12.00
– 13.00
13.00
– 14.00
14.00
– 15.00
15.00 –
16.00
16.00
– 17.00
Example room use – specialist rooms
Booking period:
Midday
am
pm
Distributed
09.00 – 10.00
10.00 – 11.00
11.00 – 12.00
12.00 – 13.00
13.00 – 14.00
14.00 – 15.00
15.00 – 16.00
16.00 – 17.00
Example room use – meeting rooms
Booking period:
Meeting rooms:
Midday
am
pm
Distributed
09.00 – 10.00
10.00 – 11.00
11.00 – 12.00
12.00 – 13.00
13.00 – 14.00
14.00 – 15.00
15.00 – 16.00
16.00 – 17.00
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)
* indicates currently unused fields
Details
Department
Mod (module code)
Course
Capacity
Category*
Type*
Class*
Zone*
Classif (tut, prac, etc)
Created
User
Instance
Changed
Campus
Num weeks (of use)
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
Pre-heat time (minutes)/Mean external
temperature (°C)/Mean global radiation (kW)
50
45
Room 205
40
35
Room 213
30
Room 215
25
Room 218
20
15
Mean external
temperature (°C)
10
Mean global radiation
(kW)
5
0
18-Jan
19-Jan
20-Jan
21-Jan
22-Jan
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
The model:
Percentage energy saving
12.00%
10.00%
8.00%
Heating only
6.00%
Heating and
lighting
4.00%
2.00%
0.00%
hrs
available
booked, booked, am booked, pm booked,
midday
distributed
utilised, utilised, am utilised, pm utilised,
midday
distributed
Thank you