EU-Financed LIFE-Diademe Project: Additional Energy Savings in Street Lighting by Means of IoT Sensors—A Case Study in Italy

  • Paolo Di LecceEmail author
  • Andrea Mancinelli
  • Marco Trentini
  • Giuseppe Rossi
  • Marco Frascarolo
Conference paper
Part of the Springer Proceedings in Energy book series (SPE)


Thanks to EU program LIFE, an innovative approach has been designed and soon will be completed in the city of ROME, within EUR district, with the project LIFE-Diademe. Today, the IoT technology (Internet of Things) makes easy to install, on each lighting pole, low-cost sensors, able to detect luminance, traffic flow and weather conditions. All these parameters can be measured in a more accurate way and, above all, in a wide urban area. Within the LIFE-Diademe project, 110 devices have been installed on 110 lighting poles and 890 more will be connected by the end of 2018 to measure, in a selected area, relevant parameters for Adaptive Lighting. To obtain a wide sampling of typical road lighting situation, the testing is considering urban contests representing different type of traffic: residential, offices, shops, Public Administration, University, etc.

On-site expert systems are analysing streets data and, thanks to the three basic evaluated parameters, they are adapting street lighting levels in real time mode: measurement and dimming time is being executed every minute.

First data about behaviour of the system are showing an approximate energy saving of about 30% compared to pre-programmed dimming cycles, and 50% compared to no dimming. These data are comparable to other Adaptive Lighting installations—designed according to standards—where the most significant result represents that in most of the urban roads, for 90% of the time, traffic flow is lower than 10% of nominal road capacity.

Thanks to new IoT concepts, data about air quality, noise and post inclination are also being collected from each lighting point.

The LIFE-Diademe project experience will run for 1 year, to collect a reasonable set of data. After this period, a new lighting measurement campaign will be performed and, consequently, a Life Cycle Assessment (LCA) and a Life Cycle Cost Analysis (LCCA) are being carried out, in order to assess results, in terms of energy saving, safety, waste reduction, and, finally, sustainability.


Street lighting Efficiency Adaptive lighting IoT LIFE program 



We would like to thank EU program LIFE, which financed 60% of DIADEME LIFE15 CCM/IT/000110, allowing us to install such an interesting and innovative system.

Further Reading

  1. 1.
    Ministry of Transport, Transport Research Center, The Netherlands—Dynamic public lighting—cover report—Marzo 1999.Google Scholar
  2. 2.
    CEN. (2014). CEN TR13201-1:2014. Road lighting—Part 1: Guidelines on selection of lighting classes. Brussels: CEN.Google Scholar
  3. 3.
    CEN. (2015). EN 13201-4:2015. Road lighting—Part 4: Methods of measuring lighting performance. Brussels: CEN.Google Scholar
  4. 4.
    CEN. (2015). EN 13201-5:2015. Road lighting—Part 5: Energy performance indicators. Brussels: CEN.Google Scholar
  5. 5.
    CEN. (2015). EN 13201-5:2015. Road lighting—Part 2: Performance requirements. Brussels: CEN.Google Scholar
  6. 6.
    CEN. (2015). EN 13201-5:2015. Road lighting—Part 3: Calculation of performance. Brussels: CEN.Google Scholar
  7. 7.
    CIE. (2001). CIE 144:2001. Road surface and road marking reflection characteristic. Vienna: CEN.Google Scholar
  8. 8.
    CIE. (2003). CIE 154:2003. The maintenance of outdoor lighting system. Vienna: CEN.Google Scholar
  9. 9.
    CIE. (2010). CIE 115:2010. 2nd editon. Lighting of roads for motor and pedestrian traffic. Vienna: CEN.Google Scholar
  10. 10.
    ISO/CIE. (2014). ISO/CIE 19476:2014. Characterization of the performance of illuminance meters and luminance meters. Joint ISO/CIE international standard. Geneva: ISO.Google Scholar
  11. 11.
    UNI. (2011). UNI 11431:2011. Luce e illuminazione—Applicazione in ambito stradale dei dispositivi regolatori di flusso luminoso. Milano: UNI.Google Scholar
  12. 12.
    UNI. (2016). UNI 11248:2016. Illuminazione stradale—Selezione delle categorie. Milano: UNI.Google Scholar
  13. 13.
    Di Lecce, P. (2016). Illuminazione adattiva: Italia sempre un passo avanti (pp. 32–33). Luglio Agosto: U&C (Unificazione & Certificazione, rivista ufficiale di UNI). n.7.Google Scholar
  14. 14.
    Rossi, G., Iacomussi, P., Mancinelli, A., & Di Lecce, P. (2015). Adaptive systems in road lighting installations. [INRIM, Torino, ITALY], 2. REVERBERI Enetec, Castelnuovo ne’ Monti (RE), Italy. Light & Engineering, 23, 4.Google Scholar
  15. 15.
    Rossi, G., Iacomussi, P., Mancinelli, A., & Di Lecce, P. (2015). Adaptive systems in road lighting installations. [INRIM, Torino, Italy], 2. REVERBERI Enetec, Castelnuovo ne’ Monti (RE), Italy. CIE 216. In Proceedings of the 28th Session of the CIE, 28 June–4 July 2015, Manchester, UK.Google Scholar
  16. 16.
    Di Lecce, P., et al. Lux Europa Lubjiana September 2017. Outdoor adaptive lighting in the new UNI 11248 italian standard and result of experience (OM09).Google Scholar
  17. 17.
    Di Lecce, P., Mazzocchi, A., Mancinelli, A., & Rossi, G. (2017). Illuminazione adattiva: l’Italia fa sul serio. LUCE, 322, 90–94.Google Scholar
  18. 18.
    Di Lecce, P., Mazzocchi, A., Mancinelli, A., Rossi, G., & Frascarolo M. (2018). Adaptive lighting in motorized traffic road: Real installations show that IOT technologies can support the correct use of standards. CIE Topical Conference on Smart Lighting in Taipei, Chinese Taipei, April 26–27, 2018.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Paolo Di Lecce
    • 1
    Email author
  • Andrea Mancinelli
    • 1
  • Marco Trentini
    • 1
  • Giuseppe Rossi
    • 2
  • Marco Frascarolo
    • 3
  1. 1.Reverberi EnetecCastelnovo nè MontiItaly
  2. 2.INRIMTorinoItaly
  3. 3.Roma Tre UniversityRomeItaly

Personalised recommendations