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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Main Author: Adam Sȩdziwy
Format: Article
Language:English
Published: MDPI AG 2015-12-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/8/1/13
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spelling 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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