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LITES UA Smart Campus IT4 Energy

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Benefits of metering and intelligent control in energy savings of public street lighting - UA Smart Campus use case.

by Luis Nero Alves, João Paulo Barraca, Rui L. Aguiar

Published in: Science
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LITES UA Smart Campus IT4 Energy

  1. 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. 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. 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. 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. 5. Aveiro  Campus  Pilot
  6. 6. Aveiro  Campus  Pilot
  7. 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. 8. LITES  Approach • Microwave motion detector – Activates corridor function – In groups of 4  luminaries • Extensive monitoring,  10s  period – Current – Temperature – Humidity – Structural vibration
  9. 9. 3D  Modelling
  10. 10. 3D  Modelling
  11. 11. Deployment Simulation
  12. 12. Enhanced Tridonic LED  luminaries
  13. 13. Deployment
  14. 14. Light  Level Validation
  15. 15. Light  Level Validation
  16. 16. Architecture • e
  17. 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. 18. Gateway Architecture RDM  – Radio  Drive  Module APM  – Acquisition  and  Process  Module RM  – Report  Modules
  19. 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. 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. 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. 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. 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. 24. Savings of 65%
  25. 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. 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

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