An asset-management model for use in the evaluation and regulation of public-lighting systems |
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| Affiliation: | 1. Iran University of Science and Technology, Department of Electrical Engineering, Iran;2. University of Tehran, School of Electrical and Computer Engineering, Iran;1. Laboratoire d’Electrotechnique et d’Electronique de puissance de Lille (L2EP), Ecole des Hautes Etudes d’Ingénieur (HEI), Lille, France;2. SEOLIS, 336 Avenue de Paris, 79000 Niort, France;3. GEREDIS Deux-Sèvres, 17 Rue des Herbillaux, 79000 Niort, France;1. Faculty of Pure and Applied Mathematics, Wrocław University of Science and Technology, 50-370 Wrocław, Poland;2. Department of Operations Research, Faculty of Computer Science and Management, Wrocław University of Science and Technology, 50-370 Wrocław, Poland;1. Tarbiat Modares University, Tehran, Iran;2. Faculty of School of Electrical Engineering at Iran University of Science and Technology, Tehran, Iran |
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| Abstract: | In this paper, an asset-management model is proposed to address challenges facing regulators, managers, and operators of public-lighting systems and suggest optimal performance strategies. A new method is presented to estimate the failure rate of lamps based on the normal distribution function. The impact of technology improvement in lamp manufacturing as well as the growth and extension of lighting systems on the failure rate are investigated. In order to achieve satisfaction of customers and risk reduction, a method for establishing a performance standard for lamp failure rates is presented. Considering technical and economic issues, a procedure for selecting the best lamp in the market and then estimating costs associated with system operation is described. Finally, a methodology is proposed for evaluating performance in public-lighting systems. Results of a case study for the public-lighting system of the newly constructed suburb of the city of Isfahan, Iran, show the efficacy of the proposed method. |
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| Keywords: | Public-lighting systems Asset management Optimal management strategy Failure-rate estimation |
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