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An asset-management model for use in the evaluation and regulation of public-lighting systems

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  • Mirzaei, Mohammad Javad
  • Dashti, Reza
  • Kazemi, Ahad
  • Amirioun, Mohammad Hassan

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.

Suggested Citation

  • Mirzaei, Mohammad Javad & Dashti, Reza & Kazemi, Ahad & Amirioun, Mohammad Hassan, 2015. "An asset-management model for use in the evaluation and regulation of public-lighting systems," Utilities Policy, Elsevier, vol. 32(C), pages 19-28.
  • Handle: RePEc:eee:juipol:v:32:y:2015:i:c:p:19-28
    DOI: 10.1016/j.jup.2014.12.001
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    References listed on IDEAS

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    4. Hoskins, R. P. & Brint, A. T. & Strbac, G., 1999. "A structured approach to Asset Management within the electricity industry," Utilities Policy, Elsevier, vol. 7(4), pages 221-232, February.
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    Cited by:

    1. Mirzaei, Mohammad Javad & Amirioun, Mohammad Hassan & Kazemi, Ahad & Dashti, Reza, 2020. "Optimal contracting strategies for public-lighting asset management:A case study from Iran," Utilities Policy, Elsevier, vol. 64(C).
    2. Ghasemi, Mostafa & Dashti, Reza, 2017. "A risk-based model for performance-based regulation of electric distribution companies," Utilities Policy, Elsevier, vol. 45(C), pages 36-44.

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