Abstract
Roadway lighting retrofit is a process continuously developed in urban environments due to both installation aging and technical upgrades. The spectacular example is replacing the high intensity discharge (HID) lamps, usually high pressure sodium (HPS) ones, with the sources based on light-emitting diodes (LED). The main focus in the related research was put on energy efficiency of installations and corresponding financial benefits. In this work, we extend those considerations analyzing how lighting optimization impacts greenhouse gas (GHG) emission reduction and what are the resultant financial benefits expressed in terms of emission allowances prices. Our goal is twofold: (i) obtaining a quantitative assessment of how a GHG footprint depends on a technological scope of modernization of a city HPS-based lighting system; and (ii) showing that the costs of such a modernization can be decreased by up to 10% thanks to a lowered CO 2 emission volume. Moreover, we identify retrofit patterns yielding the most substantial environmental impact.
Highlights
Retrofitting a roadway lighting is a process continuously developed in urban environments due to installations aging and technical upgrades
Technological and financial aspects of lighting design/retrofit are commonly discussed in the literature, a detailed analysis of an environmental impact of lighting system modernization is rather rarely present in the domain research [7,9,10]
We propose the way of linking a quantitative analysis of financial aspects of a lighting installation retrofit with considerations on an environmental influence of such a modernization
Summary
Retrofitting a roadway lighting is a process continuously developed in urban environments due to installations aging and technical upgrades. The main problems being analyzed in the related research were reducing energy consumption, improving illumination quality [3], optimizing investment and maintenance costs [4]. It is worth noting that financial optimization of roadway lighting solutions applies to such non-trivial cases as road tunnel illumination [5,6]. To support retrofit related optimization, a range of computing approaches are proposed including graph-based modeling of lighting systems [7] or evolutionary algorithms [8]. Technological and financial aspects of lighting design/retrofit are commonly discussed in the literature, a detailed analysis of an environmental impact of lighting system modernization is rather rarely present in the domain research [7,9,10]
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