Replacement Model for Street Lighting Systems

Authors

  • AYINDE MOHAMMED USMAN Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin, P.M.B 1515 Ilorin, Kwara State, NIGERIA.
  • Y. A. Adediran Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin, P.M.B 1515 Ilorin, Kwara State, NIGERIA.
  • A. O. Otuoze Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin, P.M.B 1515 Ilorin, Kwara State, NIGERIA.
  • O. O. Mohammed Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin, P.M.B 1515 Ilorin, Kwara State, NIGERIA.
  • O. S. Zakariyya Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology, University of Ilorin, P.M.B 1515 Ilorin, Kwara State, NIGERIA.

Keywords:

replacement model, streetlights, burnt-out bulbs, optimum replacement time

Abstract

Replacing failed bulbs of streetlights in a location can be very tasking and expensive if the optimal time for replacement is not determined. In this paper, a model has been developed that helps to establish the optimal time for the replacement of streetlight bulbs. Burnt-out bulbs are replaced individually when they fail, and group replacement is carried out on all bulbs after a specified time. The costs for both individual replacement and group replacement are determined. The developed model was applied to locally sourced data from a field survey of a streetlight installation at the University of Ilorin, Ilorin, North-central Nigeria. The model gave the optimum replacement time of burnt-out bulbs as the eighteenth week when applied to the data used in this work. The optimum replacement time will be dependent on the dataset used. This makes the developed model useful in establishing the optimal replacement time of any stochastically failing items that are in large quantities. The model will help to reduce maintenance costs for facility managers.

http://dx.doi.org/10.4314/njt.v40i1.8

Downloads

Published

2021-01-04

Issue

Section

Chemical, Industrial, Materials, Mechanical, Metallurgical, Petroleum & Production Engineering