1.
Benefits
of
metering
and
intelligent
control
in
energy
savings
of
public
street
lighting
-­‐ UA
Smart
Campus
use
case
Benefits
of
metering
and
intelligent
control
in
energy
savings
of
public
street
lighting
-­‐ UA
Smart
Campus
use
case
Luis
Nero
Alves, João
Paulo
Barraca,
Rui L.
Aguiar
nero@ua.pt,
jpbarraca@ua.pt,
ruilaa@ua.pt

2.
• FP7,
ICT-­‐PSP.2008.2.1,
2.56M€
• Embedded intelligent control of the dimming of light
• Use
of LED
luminaries
• Standards
Compliant
Public
Ligthing Service
– CE2-­‐ CE5,
S-­‐ and A-­‐ (EN13201)
– EN
60598-­‐1
and
EN
60598-­‐3

3.
• Focused
in
pilots
assessing
efficiency
gains
– Pilots:
Bordeaux
Municipality,
Aveiro
Campus,
Riga Campus
– Comparison
of
LITES
system
against
traditional
deployment
– Evaluation
covering
365
days
• Use
of
multiple
sensors
– Multiparametric analysis
of
efficiency
and
longevity
• Careful
planning
and
simulation
for
best
results
– Simulation
– GIS
modelling

4.
Aveiro
Campus
Pilot
• Metal
footbridge in the campus
– Connects main campus
to
cantine,
students bar,
and other facilities
– 367
Meters
• Existing system:
1925W
– 55
HID
luminaries
– 35W
each luminary
– Light
detection (operation from dusk til
dawn)

5.
Aveiro
Campus
Pilot

6.
Aveiro
Campus
Pilot

7.
LITES
Approach
• 3D
modelling
and
simulation
– Optimize
location
and
dimming
control
– Respects
minimum
lighting
levels
• LITES:
1127W
(100%),
513W
(10%)
– 31
LED
luminaries
– 36.37W
100%,
16.55W
10%
– Light
switch
plus
motion
control

8.
LITES
Approach
• Microwave motion detector
– Activates corridor function
– In groups of 4
luminaries
• Extensive monitoring,
10s
period
– Current
– Temperature
– Humidity
– Structural vibration

9.
3D
Modelling

10.
3D
Modelling

11.
Deployment Simulation

12.
Enhanced Tridonic LED
luminaries

13.
Deployment

14.
Light
Level Validation

15.
Light
Level Validation

16.
Architecture
• e

17.
Communications
• Multihop wireless
mesh network
– Nordic Shockburst2.4Ghz
– Gateway proxies data
to
servers
– Local
storage if connection is not available
• 4 collection methods
– HTTPS
to
Street Light
Vision servers
– HTTP
to
eMonCMS
– HTTPS
mId to
M2M
platform (ETSI
M2M
SCL)
– MQTT
to
M2M
platform (OASIS)

18.
Gateway Architecture
RDM
– Radio
Drive
Module
APM
– Acquisition
and
Process
Module
RM
– Report
Modules

19.
High number of users
20:00 22:00 00:00 02:00 04:00 06:00
Time
0
1000
2000
3000
4000
5000
Current(mA)
Savings still possible

20.
Low number of users
22:00 00:00 02:00 04:00 06:00
Time
0
1000
2000
3000
4000
5000
Current(mA)
10%
Light
output
50%
power consumption

21.
Rain
18:00 21:00 00:00 03:00 06:00 09:00
Time
0
1000
2000
3000
4000
5000
Current(mA)
Rain Triggers Motion Sensor
Due to
water dropplets on enclosures

22.
Festivity in Crasto
Campus
18:00 20:00 22:00 00:00 02:00 04:00 06:00
Time
20
30
40
50
Temperature(ºC)
Dinner
Festivity is starting
Festivity is over
Public Light
data
can
be used for
city management

23.
Power
Consumption
0
5
10
15
20
25
30
35
1
9
17
25
33
41
49
57
65
73
81
89
97
105
113
121
129
137
145
153
161
169
177
185
193
201
209
217
225
233
241
249
257
265
273
281
289
297
305
313
321
329
337
345
353
361
OLD
installation
LITES
installation
MAX
MIN

24.
Savings of 65%

25.
Conclusions
• LED
drivers have key roles
in savings
– Optimization to
max load is sub-­‐optimal to
dimming scenarios
• Motion Sensors must be carefully chosen
– Adapted to
environment
– Smart placed and combined (eg.
PIR
and MW)
• Data
collection is vital
for
effective assessment
– Can
be used for
optimization of other services

26.
Thank you
Questions?
Thank you
Questions?
Luis
Nero
Alves, João
Paulo
Barraca,
Rui L.
Aguiar
nero@ua.pt,
jpbarraca@ua.pt,
ruilaa@ua.pt