Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model

Sędziwy, Adam

doi:10.3390/su8010013

Cited by 18 publications

(18 citation statements)

References 19 publications

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“…It would also be possible to use these results to forecast LED energy savings for larger areas such as multiple streets or entire cities by applying newly developed heuristic models or large-scale photometric computations [26,27]. Such use of the results may give a better estimate of the costs and environmental impact of energy optimisation for whole cities or regions to use for planning purposes.…”

Section: Discussionmentioning

confidence: 99%

LED (Light-Emitting Diode) Road Lighting in Practice: An Evaluation of Compliance with Regulations and Improvements for Further Energy Savings

Jägerbrand

2016

Energies

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Light-emitting diode (LED) road lighting has been widely implemented in recent years, but few studies have evaluated its performance after installation. This study investigated whether LED road lighting complies with minimum regulations in terms of traffic safety and whether improvements for energy efficiency are possible. Average road surface luminance (L), overall luminance uniformity (U o ), longitudinal luminance uniformity (U I ), power density (P D ) and normalised power density (P N ) were evaluated for 14 roads (seven designed for vehicular traffic and seven for pedestrians and bicycles). Energy savings were calculated as the percentage reduction to the minimum level of the existing lighting class or a lower lighting class and by applying a dimming schedule. The results showed that LED road lighting for vehicular traffic roads generally fulfilled the requirements, whereas that for pedestrian and bicycle roads generally corresponded to the lowest lighting class for L, and often did not meet the statutory requirements for U o and U I . By adapting lighting levels to the minimum requirement of the existing lighting class or by dropping to a lower lighting class, vehicular traffic roads could save 6%-35% on L to lighting class M5 and 23%-61% on L to lighting class M6. A dimming schedule could lead to energy savings of 49%. There is little potential for savings on pedestrian and bicycle roads, except by implementing a dimming schedule. Thus, in general, for vehicular, pedestrian and bicycle roads, a dimming schedule can save more energy than can be achieved in general by reducing lighting class. Furthermore, since a dimming schedule can be adjusted to traffic intensity, any potential risk of compromising traffic safety is minimised.

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Section: Discussionmentioning

confidence: 99%

LED (Light-Emitting Diode) Road Lighting in Practice: An Evaluation of Compliance with Regulations and Improvements for Further Energy Savings

Jägerbrand

2016

Energies

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“…As factor k will be defined by lower values, the new Lth' values should determine a new control switching. In general, the energy savings using traffic intensity detector parameters could end up to 50% [77][78][79][80][81][82][83]. Furthermore, frequent luminance measurements could enhance the energy savings.…”

Section: Discussionmentioning

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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“…Recent research in this field tries to replace the aforementioned, mundane process executed by the designer with automated tools. Proposed solutions include using previously performed calculations to assess the relationships between parameters [22], the use of informed local optimisation methods such as evolutionary algorithms [23] and graph-based methods [24].…”

Section: Related Researchmentioning

confidence: 99%

“…A human designer used a dedicated web application to define lighting segments for an automatic photometric design tool, PhoCa [24]. Since the calculations were then carried out without user interaction, the increasing number of segments no longer posed the risk of making the calculations infeasible.…”

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confidence: 99%

Graph-Based Spatial Data Processing and Analysis for More Efficient Road Lighting Design

et al. 2018

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The efficiency and affordability of modern street lighting equipment are improving quickly, but systems used to manage and design lighting installations seem to lag behind. One of their problems is the lack of consistent methods to integrate all relevant data. Tools used to manage lighting infrastructure are not aware of the geographic characteristics of the lit areas, and photometric calculation software requires a lot of manual editing by the designer, who needs to assess the characteristics of roads, define the segments, and assign the lighting classes according to standards. In this paper, we propose a graph-based method to integrate geospatial data from various sources to support the process of data preparation for photometric calculations. The method uses graph transformations to define segments and assign lighting classes. A prototype system was developed to conduct experiments using real-world data. The proposed approach is compared to results obtained by professional designers in a case study; the method was also applied to several European cities to assess its efficiency. The obtained results are much more fine-grained than those yielded by the traditional approach; as a result, the lighting is more adequate, especially when used in conjunction with automated optimisation tools.

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Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model

Cited by 18 publications

References 19 publications

LED (Light-Emitting Diode) Road Lighting in Practice: An Evaluation of Compliance with Regulations and Improvements for Further Energy Savings

LED (Light-Emitting Diode) Road Lighting in Practice: An Evaluation of Compliance with Regulations and Improvements for Further Energy Savings

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

Graph-Based Spatial Data Processing and Analysis for More Efficient Road Lighting Design

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