2018
DOI: 10.3390/en11082169
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Maintenance Factor Identification in Outdoor Lighting Installations Using Simulation and Optimization Techniques

Abstract: This document addresses the development of a novel methodology to identify the actual maintenance factor of the luminaires of an outdoor lighting installation in order to assess their lighting performance. The method is based on the combined use of Radiance, a free and open-source tool, for the modeling and simulation of lighting scenes, and GenOpt, a generic optimization program, for the calibration of the model. The application of this methodology allows the quantification of the deterioration of the road li… Show more

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Cited by 9 publications
(6 citation statements)
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“…This process is used to generate a model where the deterioration of the road lighting system is taken into account. For this, in order to improve the model and reduce errors made during the modeling and data collection stages, the calibration methodology presented in previous works of the authors is applied [37].…”
Section: Maintenance Factor Identificationmentioning
confidence: 99%
“…This process is used to generate a model where the deterioration of the road lighting system is taken into account. For this, in order to improve the model and reduce errors made during the modeling and data collection stages, the calibration methodology presented in previous works of the authors is applied [37].…”
Section: Maintenance Factor Identificationmentioning
confidence: 99%
“…Nevertheless, public lighting systems also have a relevant impact in terms of energy consumption and light pollution, representing one of the most significant expenses in the municipal administrations budget, primarily due to energy and maintenance costs. According to [6], the annual energy consumption for road lighting in Europe was approximately 35 TWh, representing 1.3% of the energy consumption of electricity. For municipalities, outdoor urban lighting installations significantly affect up to 80% of the total use of electricity, and public street lighting can account for up to 40-60% of a city's budget energy expenditure [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the energy (and consequently economic) savings were assessed by monitoring in-field the energy consumption data and/or through the estimation of energy performance indicators. Instead, simulation methods were mainly used to assess the photometric performances of a lighting system, since simulation tools are nowadays considered affordable and promising techniques in the field of lighting optimization [35].…”
Section: Introductionmentioning
confidence: 99%
“…However, it consumes a substantial amount of energy (Shahzad et al, 2018 ) and it continues to rise at a rate of around 6% each year, globally (Jagerbrand, 2020 ). Due to its inefficiency structure, street and road lights currently account for 2.3% global energy consumption (Ogando-Martínez et al, 2018 ). Furthermore, the amount of consumed energy by street lighting accounts for 30–40% of the total energy consumption of the city (Kaleem et al 2016 ; Ożadowicz and Grela, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…Lighting simulation was carried out using Radiance and optimization carried out using PSO/HJ algorithm. Ogando-Martínez et al ( 2018 ) Exterior Street lighting A multi-criteria decision making tool was designed for energy efficiency optimization of public street lighting systems. Carli et al ( 2018 ).…”
Section: Introductionmentioning
confidence: 99%