Group discussion

1. energy, power
& intelligent control
Energy monitoring and saving
1
Dr Jing Deng

2. energy, power
& intelligent control
Content
 Background
 Three level of energy saving
 Hardware for energy monitoring
 Software
 Discussions
2

3. energy, power
& intelligent control
Background
3
World energy grow 1.6% p.a. 25% by 2030 from Today

4. energy, power
& intelligent control
Background
4

5. energy, power
& intelligent control
Background
5
Energy Cost
Profit Margin
5%
10%
20% reduction 10% increase

6. energy, power
& intelligent control
Background
6

7. energy, power
& intelligent control
Background
7

8. energy, power
& intelligent control
8

9. energy, power
& intelligent control
Background
9

10. energy, power
& intelligent control
Background
10

11. energy, power
& intelligent control
Background
11

12. energy, power
& intelligent control
Background
12

13. energy, power
& intelligent control
Background
13
How can we save energy?

14. energy, power
& intelligent control
Background
14
Energy flow in manufacturing

15. energy, power
& intelligent control
Background
15
How to measure energy efficiency?

16. energy, power
& intelligent control
Background
16
0.50kWh/bread
£0.03/bread

17. energy, power
& intelligent control
Background
17
Direct energy Indirect energy+

18. energy, power
& intelligent control
Background
18
Direct energy
Energy used in the process (mixing, shaping, proof, baking, cooling, etc.)
Indirect energy
Lighting, ventilation, office (computer, lighting, heating), cleaning
Energy used in supporting the process (Washing, compressed air, recycling)

19. energy, power
& intelligent control
Three level of energy saving
19
Scheduling
Equipment
Process
Which? When? How long? 7/24, Maintenance, season change
Energy drift, aging, fault, parts efficiency
Upgrading, retrofitting, maintenance
Is this the best way to do it? Are the settings optimal? Are you running it correctly?

20. energy, power
& intelligent control
Hardware for energy monitoring
20

21. energy, power
& intelligent control
Hardware for energy monitoring
21
Inside the controller unit
Isolated signal acquiring board

22. energy, power
& intelligent control
Hardware for energy monitoring
22
Main controller board
Back interface board

23. energy, power
& intelligent control
Hardware for energy monitoring
23

24. energy, power
& intelligent control
Hardware for energy monitoring
24
LinkIt ONE
GPRS

25. energy, power
& intelligent control
Hardware for energy monitoring
25
GPRS
3G

26. energy, power
& intelligent control
Hardware for energy monitoring
26
particle photon

27. energy, power
& intelligent control
Hardware for energy monitoring
27
3G

28. energy, power
& intelligent control
Hardware for energy monitoring
28
Production line 1

29. energy, power
& intelligent control
Hardware for energy monitoring
29
Top washer

30. energy, power
& intelligent control
Hardware for energy monitoring
30
• Length: 3100mm (plus 200 with OPO attachment)
• Width: 940mm (overall)
• Height: 1590mm (plus 390mm with OPO attachment)
• Wash Design: 200 trays per hour (600×400)
• Wash Pump: 4Kw (5 1/2 hp)
• Drive Motor: 0.18Kw (1/4hp)
• Wash Tank: 300 Litre (66 gallons)
• Fresh Rinse Useage: 4.5 Litres/min @ 1.5bar
• Conveyor Width: 475mm (max tray width 450mm)
• Feed Opening: 300mm (max tray height 250mm with OPO Att)
• Wash Heating: 30Kw standard (20Kw economy version) * Other forms of heating
available
• Wash Tank Filler: 3/4″ bsp
• Drain: 2″ bsp
• Overflow: 1 1/4″ bsp
• Hot Rinse Supply: 3/4bsp (1.5 bar min)
• Total Electrical Load: 34.18Kw standard (24.18kw economy version) plus rinse
(20Kw) if rinse heater fitted. Supply 380v or 415v 3ph 50hz

31. energy, power
& intelligent control
Hardware for energy monitoring
31
Wash
Machine
RS485->ttl
Three phase voltage
Wifi range extender
4G router

32. energy, power
& intelligent control
Hardware for energy monitoring
32
https://build.particle.io

33. energy, power
& intelligent control
Software
33
https://www.pubnub.com/
Server at QUB
Publisher
Subscriber

34. energy, power
& intelligent control
Discussion
34
What information do we
need to collect?
What information can be
provide for customer?

35. energy, power
& intelligent control
Discussion
35
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36. energy, power
& intelligent control
Discussion
36
Date Usage frequency Total running
time
Cost
Thursday, 5/5/2016 29 5 h 32 m £18.67
Friday, 6/5/2016 23 5 h 15 m £10
Saturday, 7/5/2016 13 13h 16m £20.87
Sunday, 8/5/2016 43 10h 49m £24.43
Table 1: Daily usage of top washer

37. energy, power
& intelligent control
Questions ?
37
Prof Kang Li
(K.LI@QUB.AC.UK)