lites ua smart campus it4 energy

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.  Aguiarnero@ua.pt,  jpbarraca@ua.pt,  ruilaa@ua.pt

• 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

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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

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Curre

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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

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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.  Aguiarnero@ua.pt,  jpbarraca@ua.pt,  ruilaa@ua.pt