Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model

Adam Sȩdziwy
Additional contact information
Adam Sȩdziwy: Department of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, Kraków 30-059, Poland

Sustainability, 2015, vol. 8, issue 1, 1-13

Abstract: Street lighting systems are significant energy consumers in urban environments. The important step toward the reduction of this energy consumption and, thus, finding a balance between functional requirements and savings-related demands, was introducing LED-based light sources. There still exists, however, a margin for further savings, which is associated with well-tailored designs of road lighting installations. The critical impediment that has to be overcame beforehand is the computational complexity related to preparing such a well-suited design. To make this approach feasible, we propose using the formal graph-based model, enabling efficient heuristic computations. In this article, we demonstrate several real-life cases showing a coarse estimation of potential savings in terms of reduced CO 2 emission. The presented results are expressed in kWh of saved energy, metric tones of CO 2 , but also as a volume of combusted fuels, to make the assessment more tangible.

Keywords: street lighting; energy efficiency; photometric computations; CO 2 reduction (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/8/1/13/pdf (application/pdf)
https://www.mdpi.com/2071-1050/8/1/13/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:8:y:2015:i:1:p:13-:d:61509

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().