Economic Impact of Intelligent Dynamic Control in Urban Outdoor Lighting

Igor Wojnicki, Sebastian Ernst and Leszek Kotulski
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Igor Wojnicki: Department of Applied Computer Science, AGH University of Science and Technology, Al.Mickiewicza 30, Kraków 30-059, Poland
Sebastian Ernst: Department of Applied Computer Science, AGH University of Science and Technology, Al.Mickiewicza 30, Kraków 30-059, Poland
Leszek Kotulski: Department of Applied Computer Science, AGH University of Science and Technology, Al.Mickiewicza 30, Kraków 30-059, Poland

Energies, 2016, vol. 9, issue 5, 1-14

Abstract: This paper presents and compares the possible energy savings in various approaches to outdoor lighting modernization. Several solutions implementable using currently-available systems are presented and discussed. An innovative approach using real-time sensor data is also presented in detail, along with its formal background, based on Artificial Intelligence methods (rule-based systems) and graph transformations. The efficiency of all approaches has been estimated and compared using real-life data recorded at an urban setting. The article also presents other aspects which influence the efficiency and feasibility of intelligent lighting projects, including design quality, design workload and conformance to standards.

Keywords: energy efficiency; lighting; dynamic lighting; intelligent control; intelligent lighting; outdoor lighting; street lighting (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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