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A new street lighting control algorithm based on forecasted traffic data for electricity consumption reduction.

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Title: A new street lighting control algorithm based on forecasted traffic data for electricity consumption reduction.
Authors: Belloni, E1 (AUTHOR) elisa.belloni@unipg.it, Buratti, C1 (AUTHOR), Lunghi, L1 (AUTHOR), Martirano, L2 (AUTHOR)
Source: Lighting Research & Technology. Aug2024, Vol. 56 Issue 5, p481-501. 21p.
Subjects: Environmental impact analysis, Electric power consumption, Traffic flow measurement, Cities & towns, LED lamps
Abstract: Buildings, urban mobility and public lighting systems are promising areas for cities to reduce energy consumption. In this work, a smart city located in a central region of Italy was investigated and a new street lighting control algorithm was developed. The method is applied to manage the public lighting system of a real case study, where efficient technologies, such as LED lamps and control systems, are already installed. Preliminary on-site measurements of traffic and lighting parameters were carried out in specific streets chosen for the case studies. The analysis was supported with lighting simulations. Based on the results, a Python-based algorithm was developed to apply switching and dimming schedules to decrease the electricity consumption of the streets. A cost/benefit study was carried out and a preliminary analysis of the environmental impact of the proposed strategy is also included. The developed algorithm could be further improved based on other boundary conditions, such as daylighting and weather data. [ABSTRACT FROM AUTHOR]
Copyright of Lighting Research & Technology is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 178938855
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A new street lighting control algorithm based on forecasted traffic data for electricity consumption reduction.
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  Data: <searchLink fieldCode="JN" term="%22Lighting+Research+%26+Technology%22">Lighting Research & Technology</searchLink>. Aug2024, Vol. 56 Issue 5, p481-501. 21p.
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  Data: <searchLink fieldCode="DE" term="%22Environmental+impact+analysis%22">Environmental impact analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+consumption%22">Electric power consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+flow+measurement%22">Traffic flow measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br /><searchLink fieldCode="DE" term="%22LED+lamps%22">LED lamps</searchLink>
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  Label: Abstract
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  Data: Buildings, urban mobility and public lighting systems are promising areas for cities to reduce energy consumption. In this work, a smart city located in a central region of Italy was investigated and a new street lighting control algorithm was developed. The method is applied to manage the public lighting system of a real case study, where efficient technologies, such as LED lamps and control systems, are already installed. Preliminary on-site measurements of traffic and lighting parameters were carried out in specific streets chosen for the case studies. The analysis was supported with lighting simulations. Based on the results, a Python-based algorithm was developed to apply switching and dimming schedules to decrease the electricity consumption of the streets. A cost/benefit study was carried out and a preliminary analysis of the environmental impact of the proposed strategy is also included. The developed algorithm could be further improved based on other boundary conditions, such as daylighting and weather data. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Lighting Research & Technology is the property of Sage Publications, Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1177/14771535231194536
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 481
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      – SubjectFull: Environmental impact analysis
        Type: general
      – SubjectFull: Electric power consumption
        Type: general
      – SubjectFull: Traffic flow measurement
        Type: general
      – SubjectFull: Cities & towns
        Type: general
      – SubjectFull: LED lamps
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      – TitleFull: A new street lighting control algorithm based on forecasted traffic data for electricity consumption reduction.
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            – D: 01
              M: 08
              Text: Aug2024
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              Y: 2024
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