              !""# $ ""%&              ! " # ’(  $ % &  Abstract: The paper assesses the reliability performance of the 4.2 MW, Single Shaft Typhoon Gas Fired Turbine Power Generation Station at Beta Glass Plc (Guinea Plant), Agbara, Ogun State, Nigeria. The monthly outage data of the station for the period of 68 months (May, 2003 to December, 2008) were collected and used to compute the yearly reliability indices of the generating unit. The unit availability was found to be low, especially in 2007 and 2008. The station recorded highest number of fuel gas supply failure throughout this period. The core engine failures were frequent and repairs were not promptly effected which made the unit to operate below its rated capacity. The high forced outages recorded are indications of unreliable performance. Appropriate recommendations were proposed. Introduction Improvement in the operational performance of a nation’s electric power supply is vital for economic and social developments. Electricity has come to play an important role in all aspects of industrial growth and economic stability. The reliability of a system is defined as the probability that a plant or component will perform its function within specified limit in a given time when operated correctly in a given environment [1]. Its first application was in the electronics, nuclear and space industries where high reliability was demanded from increasingly complex system. Reliability theory was developed to suit these particular applications since in most cases, the time to the first failure was of paramount [2]. Chayakulkheeree and Ongsakul [3] conducted static reliability assessment for the combined cycle and thermal power plants in Thailand using a recursive algorithm for capacity model building to calculate the loss of load probability, expected energy served and expected energy not served by the generator. Oricha and Akinsanmi [4] assessed the impact of enhancing capacity output of generating unit on power system reliability in Nigeria. Roberto and Demenico [5] assessed the reliability of an extra high voltage (EHV) gas-insulated transmission line (GTL) using the effect of redundancies. They investigated two schemes of a GTL system from the reliability standpoint. Tanriven and Alam [6] modeled and analysed the reliability of a standalone proton exchange membrane (PEM) fuel power plants. Awosope, et al [7] used the demand-side management approach to present a novel improvement of electric power reliability scheme in Nigeria. Jimoh and Adegboye’s work [8] is on the use of the frequency and duration method to evaluate the reliability Nigeria’s Kainji hydro electric power station. The present paper is concerned with the reliability assessment of the 4.2 MW Single Shaft Typhoon Gas Fired Turbine Power Station. The assessment is facilitated by the use of operational data available between 2003 and 2008. Methodology The various reliability indices were computed as follows: Availability, A = MTBF/( MTBF + MTTR) (1) Average forced outage, AFOH = FOH / NF (2) Advanced Materials Research Vol 367 (2012) pp 143-150 Online: 2011-10-24 © (2012) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/AMR.367.143 All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of Trans Tech Publications, www.ttp.net. (ID: 152.14.136.77, NCSU North Carolina State University, Raleigh, USA-07/04/15,04:44:28)