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Ubani, N. O.
Department of Mechanical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
Eze, C. C.
Department of Mechanical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
Dara, J. E.
Department of Mechanical Engineering, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
Ekpo, A. A.
Department of Mechanical Engineering, University of Uyo, Akwa Ibom State, Nigeria
Ubani, A. C.
Department of Mechanical Engineering, Abia State Polytechnic, Abia State, Nigeria
Okpe, B.
Department of Mechatronics, Institute of Management and Technology, Enugu State, Nigeria
Okoro, U. I.
Department of Mechanical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
Humphery, C. O.
Department of Mechanical Engineering, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
ABSTRACT
In this work, the availability
and reliability of a gas power plant was investigated using mean time to
failure and mean time to repair. These parameters seek to identify extent of
time the power plant will be available to delivery electricity to consumers.
Also, exponential probability distribution function was used to determine the
expected duration of electricity generation by the power plant. The studied
showed that the power plant has high mean time to repair indicating that the
plant was unavailable for a long period. Also, the availability and reliability
of the power plant were about 68%. This is far below the IEEE recommended
standard of 99%. Finally, the probability weighted average for power generation
was found to be 54.54 hours per month. This value is so small considering that
we have an average of 720 hours in a month.
Keywords: Power Plant, Reliability, Availability, Electricity, Energy, Power Generation, Mean Time
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Published
Sunday, December 31, 2017
Issue
Vol. 3 No. 2, DEC 2017
Article Section
GENERAL
The contents of the articles are the sole opinion of the author(s) and not of UJET.
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