lites ua smart campus it4 energy
TRANSCRIPT
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. [email protected], [email protected], [email protected]
• 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
• 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
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)
Aveiro Campus Pilot
Aveiro Campus Pilot
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
LITES Approach
• Microwave motion detector– Activates corridor function– In groups of 4 luminaries
• Extensive monitoring, 10s period– Current– Temperature– Humidity– Structural vibration
3D Modelling
3D Modelling
Deployment Simulation
Enhanced Tridonic LED luminaries
Deployment
Light Level Validation
Light Level Validation
Architecture
• e
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)
Gateway Architecture
RDM – Radio Drive ModuleAPM – Acquisition and Process ModuleRM – Report Modules
High number of users
20:00 22:00 00:00 02:00 04:00 06:00Time
0
1000
2000
3000
4000
5000
Curre
nt (m
A)
Savings still possible
Low number of users
22:00 00:00 02:00 04:00 06:00Time
0
1000
2000
3000
4000
5000
Curre
nt (m
A)
10% Light output50% power consumption
Rain
18:00 21:00 00:00 03:00 06:00 09:00Time
0
1000
2000
3000
4000
5000
Curre
nt (m
A)
Rain Triggers Motion SensorDue to water dropplets on enclosures
Festivity in Crasto Campus
18:00 20:00 22:00 00:00 02:00 04:00 06:00Time
20
30
40
50
Tem
pera
ture
(ºC)
DinnerFestivity is starting
Festivity is over
Public Light data can be used for city management
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
Savings of 65%
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
Thank you
Questions?
Thank you
Questions?
Luis Nero Alves, João Paulo Barraca, Rui L. [email protected], [email protected], [email protected]