Lighting very long road tunnels implies a high consumption of electrical energy since it requires a proper illumination during the whole day. In particular, in the daytime, the illuminance levels right at the tunnel entrance threshold and exit zones must be higher than those characterizing the inside of the tunnel; in this way, the eye of the driver is able to adapt and be safe while passing from a high natural illumination of the outside to the lighting conditions characterizing the inside of the tunnel. However this causes a high energy demand. Therefore, this case study investigates whether it is possible to minimize the energy demand through the exertion of an automatic new control system regulating the luminous fluxes of artificial sources (guaranteeing the parameters set by the regulation) with respect to the variation of the natural light characterizing the outside. The innovative control systems must be characterized by high reliability levels in order to guarantee conditions which are not dangerous to the driver if an outage occurs and minimize their maintenance costs. To carry out this type of study, the software DIALux was used to simulate a tunnel with a dimming system (with lamps characterized by a high luminous efficiency) regulated by a pre-programmed logic control system (with high Mean Time Between Failure (MTBF) values). The savings obtained enabled the amortization of the solution here suggested in a time interval that makes it an advantageous choice economically speaking.

Management optimization of the luminous flux regulation of a lighting system in road tunnels. A first approach to the exertion of predictive control systems / Salata, Ferdinando; Golasi, Iacopo; Poliziani, Alessandro; Futia, Antonio; de Lieto Vollaro, Emanuele; Coppi, Massimo; DE LIETO VOLLARO, Andrea. - In: SUSTAINABILITY. - ISSN 2071-1050. - STAMPA. - 8(11):(2016), pp. 1-17. [10.3390/su8111092]

Management optimization of the luminous flux regulation of a lighting system in road tunnels. A first approach to the exertion of predictive control systems

SALATA, FERDINANDO;GOLASI, IACOPO;COPPI, Massimo;DE LIETO VOLLARO, Andrea
2016

Abstract

Lighting very long road tunnels implies a high consumption of electrical energy since it requires a proper illumination during the whole day. In particular, in the daytime, the illuminance levels right at the tunnel entrance threshold and exit zones must be higher than those characterizing the inside of the tunnel; in this way, the eye of the driver is able to adapt and be safe while passing from a high natural illumination of the outside to the lighting conditions characterizing the inside of the tunnel. However this causes a high energy demand. Therefore, this case study investigates whether it is possible to minimize the energy demand through the exertion of an automatic new control system regulating the luminous fluxes of artificial sources (guaranteeing the parameters set by the regulation) with respect to the variation of the natural light characterizing the outside. The innovative control systems must be characterized by high reliability levels in order to guarantee conditions which are not dangerous to the driver if an outage occurs and minimize their maintenance costs. To carry out this type of study, the software DIALux was used to simulate a tunnel with a dimming system (with lamps characterized by a high luminous efficiency) regulated by a pre-programmed logic control system (with high Mean Time Between Failure (MTBF) values). The savings obtained enabled the amortization of the solution here suggested in a time interval that makes it an advantageous choice economically speaking.
2016
road tunnel, lighting systems, LED, control system, energy optimization, amortization costs
01 Pubblicazione su rivista::01a Articolo in rivista
Management optimization of the luminous flux regulation of a lighting system in road tunnels. A first approach to the exertion of predictive control systems / Salata, Ferdinando; Golasi, Iacopo; Poliziani, Alessandro; Futia, Antonio; de Lieto Vollaro, Emanuele; Coppi, Massimo; DE LIETO VOLLARO, Andrea. - In: SUSTAINABILITY. - ISSN 2071-1050. - STAMPA. - 8(11):(2016), pp. 1-17. [10.3390/su8111092]
File allegati a questo prodotto
File Dimensione Formato  
Salata_management-optimization_2016.pdf

accesso aperto

Note: Articolo principale
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 3.43 MB
Formato Adobe PDF
3.43 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/893895
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 23
social impact