An optimal model for tunnel lighting control systems

Li, Shuguang

doi:10.1016/j.tust.2015.05.001

Cited by 19 publications

(7 citation statements)

References 12 publications

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“…Lopez and Pena-Garcia [58] proposed a methodology that uses vehicle-based images and trigonometric considerations and does not affect the traffic. Shuguang [59] presented a tunnel lighting optimal control model taking into account both traffic safety and energy-saving issues. His control model takes the demand on brightness, the total average brightness, and the minimum dimming ratio of the luminaires as parameters.…”

Section: Introductionmentioning

confidence: 99%

Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies

Doulos

Sioutis²,

Tsangrassoulis

et al. 2020

Energies

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Because of the absence of lighting calculation tools at the initial stage of tunnel design, the lighting systems are usually over-dimensioned, leading to over illumination and increased energy consumption. For this reason, a fine-tuning method for switching lighting stages according to the traffic weighted L20 luminance is proposed at no additional cost. The method was applied in a real –case scenario, where L20 luminance of the access zone at eleven (11) existing tunnels was calculated. The traffic weighted method of CR14380 was used in order to calculate the actual luminance levels for the entrance zone. The new transition zone, which decreases luminance curves, was produced and compared with the existing ones. Thus, a new switching control was proposed and programed for the Supervisory Control and Data Acquisition (SCADA) system of the tunnel. The signals of the corresponding eleven L20 meters for a period of eight days were used and the corresponding annual energy consumptions were calculated using the proposed switching program for each tunnel. The results were compared with a number of scenarios in which the existing lighting system was retrofitted with Lighting Emitting Diodes (LED) luminaires. In these scenarios, the new luminaire arrangement was based not only on the existing luminance demand value for the threshold zone, but also on the newly proposed one with two different control techniques (continuous dimming and 10% step dimming). The fine-tuning method for switching resulted in energy savings between 11% and 54% depending on the tunnel when the scenario of the existing installation at no extra cost was used. Energy savings, when LED luminaires were installed, varied between 57% (for the scenario with existing luminance demand value for the threshold zone and 10% step dimming) and 85% (for the scenario with the new calculated luminance demand and continuous dimming).

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Section: Introductionmentioning

confidence: 99%

Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies

Doulos

Sioutis²,

Tsangrassoulis

et al. 2020

Energies

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“…At present, the cumulative construction mileage of long road tunnels in China has exceeded 69% of the total tunnel mileage [2][3][4]. Their lighting installations, which work 24 h per day throughout the year, result in most of the energy consumption [5][6][7]. Surveys show that lighting consumes 30% of the energy consumed by the mechanical and electrical systems in high tunnels [8].…”

Section: Introductionmentioning

confidence: 99%

An “Illumination Moving with the Vehicle” Intelligent Control System of Road Tunnel Lighting

Wang

Cui

Chen³

et al. 2020

Sustainability

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To reduce the enormous waste of electric energy in tunnel lighting, an intelligent control system of road tunnel lighting which can realize the effect of illumination moving with the vehicle is proposed. In this system, the group control of LED lamps is realized based on Air Lamp lighting technology through the wide area fusion Internet of Things (WF-IoT). By the group control of LED lamps, the tunnel lighting is divided into several illumination segments. When the vehicle is detected by the surveillance camera, the corresponding LED group can be adjusted to the demand luminance according to the environmental conditions and traffic information. The other LED groups maintain 10% of the maximum luminance to reduce energy consumption. To realize the effect of illumination moving with the vehicle, the structure of the intelligent control system and hardware system is designed, and the length of the illumination segment is calculated. To evaluate the lighting effect of the intelligent control system, a simulation model of tunnel lighting is established. In addition, the energy-saving effect of the intelligent control system is evaluated. The results show that the intelligent control system can meet the requirements of illumination in a tunnel and have a notable energy-saving effect.

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“…Lighting efficiency has been widely discussed in the literature from many perspectives, including system design [2], maintenance [3, 4, 5 and 6], control strategies [7,8,9] and cost-benefit and life-cycle analysis [10,11]. However, the targeted buildings typically have ordinary tertiary uses, and are often administrative facilities [7,12,13,14].…”

Section: Introductionmentioning

confidence: 99%

“…A second strategy is to undertake technology retrofits [19,20], in which LED is of increasing interest as it is becoming a more affordable and reliable alternative [21,22], even though it has not always proven to be worth the investment [23,24]. Research into the lighting efficiency of underground spaces has been scarce until now [2,23]. Shuguang [2] developed a model for tunnel lighting control systems, whereas Chueco et al [23] focused on the evaluation of fluorescent and LED luminaires in underground mining.…”

Section: Introductionmentioning

confidence: 99%

“…Research into the lighting efficiency of underground spaces has been scarce until now [2,23]. Shuguang [2] developed a model for tunnel lighting control systems, whereas Chueco et al [23] focused on the evaluation of fluorescent and LED luminaires in underground mining. Within the context of underground metro stations, a notable European research project is SEAM4US -Sustainable Energy Management for Underground Stations [26].…”

Section: Introductionmentioning

confidence: 99%

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Reducing lighting electricity use in underground metro stations

Casals

Gangolells

Forcada

et al. 2016

Energy Conversion and Management

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Lighting systems are usually one of the largest electrical end-uses in underground metro stations. Taking into account that budget restrictions in publicly owned companies hinder energy efficiency retrofit projects that require high initial investments, affordable energy saving strategies are needed. This paper presents a low-cost approach for reducing lighting electricity use in underground stations, without affecting passengers' comfort or the metro operator's service. For this purpose, an adaptive lighting strategy of dimming the illuminance levels of artificial light sources has been developed. Dimming controls are based on the occupancy of the station, and the preventive maintenance and cleaning cycles of the luminaires. The stations' monthly occupancy patterns are defined through the k-means clustering technique. To illustrate its effectiveness, the method was applied to 115 underground stations of the Barcelona metro network. The results revealed overall electricity savings of 255.47 MW h on a biannual basis, which represents 36.22% of the stations' baseline lighting consumption. Individual energy savings were found to range from 25 to 87.5 MW h/year in the stations of the Barcelona metro network, depending on the number and profile of station users. The research findings will undoubtedly be useful for the future energy efficiency project plans of worldwide metro operators and managers of other underground spaces.Peer ReviewedPostprint (author's final draft

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An optimal model for tunnel lighting control systems

Cited by 19 publications

References 12 publications

Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies

Revision of Threshold Luminance Levels in Tunnels Aiming to Minimize Energy Consumption at No Cost: Methodology and Case Studies

An “Illumination Moving with the Vehicle” Intelligent Control System of Road Tunnel Lighting

Reducing lighting electricity use in underground metro stations

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