Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model
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, ho...
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doaj-c8a9ccb080d1432498690cc669fec8542020-11-24T22:40:45ZengMDPI AGSustainability2071-10502015-12-01811310.3390/su8010013su8010013Sustainable Street Lighting Design Supported by Hypergraph-Based Computational ModelAdam Sȩdziwy0Department of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, Kraków 30-059, PolandStreet 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 CO2 emission. The presented results are expressed in kWh of saved energy, metric tones of CO2 , but also as a volume of combusted fuels, to make the assessment more tangible.http://www.mdpi.com/2071-1050/8/1/13street lightingenergy efficiencyphotometric computationsCO2 reduction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Adam Sȩdziwy |
spellingShingle |
Adam Sȩdziwy Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model Sustainability street lighting energy efficiency photometric computations CO2 reduction |
author_facet |
Adam Sȩdziwy |
author_sort |
Adam Sȩdziwy |
title |
Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model |
title_short |
Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model |
title_full |
Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model |
title_fullStr |
Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model |
title_full_unstemmed |
Sustainable Street Lighting Design Supported by Hypergraph-Based Computational Model |
title_sort |
sustainable street lighting design supported by hypergraph-based computational model |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2015-12-01 |
description |
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 CO2 emission. The presented results are expressed in kWh of saved energy, metric tones of CO2 , but also as a volume of combusted fuels, to make the assessment more tangible. |
topic |
street lighting energy efficiency photometric computations CO2 reduction |
url |
http://www.mdpi.com/2071-1050/8/1/13 |
work_keys_str_mv |
AT adamsedziwy sustainablestreetlightingdesignsupportedbyhypergraphbasedcomputationalmodel |
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1725703471283306496 |