Szczegóły publikacji
Opis bibliograficzny
Enhancing energy efficiency of adaptive lighting control / Adam SĘDZIWY, Leszek KOTULSKI, Artur BASIURA // W: Intelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017 : Kanazawa, Japan, April 3–5, 2017 : proceedings, Pt. 2 / eds. Ngoc Thanh Nguyen [et al.]. — Cham : Springer International Publishing, cop. 2017. — (Lecture Notes in Computer Science ; ISSN 0302-9743. Lecture Notes in Artificial Intelligence ; vol. 10192). — ISBN: 978-3-319-54429-8; e-ISBN: 978-3-319-54430-4. — S. 487–496. — Bibliogr. s. 495–496, Abstr. — Publikacja dostępna online od: 2017-02-26
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 116642 |
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Data dodania do BaDAP | 2018-09-27 |
Tekst źródłowy | URL |
DOI | 10.1007/978-3-319-54430-4_47 |
Rok publikacji | 2017 |
Typ publikacji | materiały konferencyjne (aut.) |
Otwarty dostęp | |
Wydawca | Springer |
Konferencja | 9th Asian Conference on Intelligent Information and Database Systems |
Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
Lighting standards (generally based on the CEN/TR 13201 standard) allow assigning different lighting classes to a single roadway dependently on an actual traffic flow. Applying a less restrictive lighting class decreases energy consumption. Thanks to this setting lighting classes accordingly to actual road conditions yields up to 34% reduction of the power usage. This result may be further improved if one performs control on a well design installation. The optimization of a lighting design for one lighting class is the subject to the intensive research. In this article we show in turn that the optimization within one class is not sufficient for preparing an optimal solution. The metrics allowing the comparison of two solutions has been also introduced. The energy consumption in the presented case is reduced by 2.73% only but in the context of the global energy consumption of lighting systems (estimated for 3GWh in the EU) it seems to be interesting.