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Energy efficient traffic-based street lighting automation

Nefedov, Evgeny (författare)
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland
Maksimainen, Mikko (författare)
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland
Sierla, Seppo (författare)
Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland
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Flikkema, Paul (författare)
Dept. Electrical Engineering and Computer Science, Northern Arizona University, Flagstaff, Arizona, USA
Yang, Chen-Wei (författare)
Luleå tekniska universitet,Datavetenskap
Kosonen, Iisakki (författare)
Dept. Civil and Environmental Engineering, Aalto University, Espoo, Finland
Luttinen, Tapio (författare)
Dept. Civil and Environmental Engineering, Aalto University, Espoo, Finland
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Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland Dept Electrical Engineering and Computer Science, Northern Arizona University, Flagstaff, Arizona, USA (creator_code:org_t)
Piscataway, NJ : IEEE Communications Society, 2014
2014
Engelska.
Ingår i: 2014 IEEE International Symposium on Industrial Electronics (ISIE 2014). - Piscataway, NJ : IEEE Communications Society. ; , s. 1718-1723
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
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  • The emerging LED technology enables intelligent street lighting that is based on sensing individual vehicles and dimming street lights accordingly. The potential energy savings are considerable, exceeding 50% on roads with low traffic. A possible reason why such applications are not yet emerging are financial uncertainties about the size of the savings, which are needed to motivate the investment. Another barrier to adoption are uncertainties about whether proposed approaches meet standards and regulations for traffic safety. In this paper, an energy efficient street lighting design that meets regulations for rural roads is implemented with the IEC 61499 distributed function block architecture. The intelligent lighting is co-simulated against a traffic simulation using cellular automata. Virtual metering in the IEC 61499 application is used to quantify energy savings in simulation scenarios with different traffic volumes. Across a range of traffic volumes representative of rural roads, our simulations indicate that smart dimming can deliver energy savings of 14% to 70%, with savings increasing as traffic density decreases.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Dependable Communication and Computation Systems
Kommunikations- och beräkningssystem

Publikations- och innehållstyp

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