Simulation of reliability and availability of boiler critical components using Monte Carlo approach.

This paper presents a Monte Carlo simulation to determine the reliability and availability of boiler critical components in a steam power plant. The Monte Carlo simulation results are expected to be a reference for maintenance and repair times that will be used in the future. Steam power plant is one in every of the foremost wide used power plants in Indonesia, and one of them is located in Nagan Raya Regency, Aceh, Indonesia. Nagan Raya steam power plant has an installed capacity of 2x110 megawatts. The highest failure frequency is found in the boiler, this is reflected in the high downtime. Performance in terms of reliability and availability needs to be evaluated to minimize these failures. Monte Carlo simulation is used as an evaluator to increase the reliability and availability of performance by predicting failure time and repair time (TTF and TTR) for each critical component of boiler part. Monte Carlo simulation uses random numbers with a uniform distribution (0 to 1) generated from generating random numbers, then converting them to non-uniform distributions using the inverse transformation method. Monte Carlo simulation will be carried out on eight critical components of the two boiler units at Nagan Raya steam power plant. Monte Carlo simulation results on eight critical components of the boiler obtained a reliability value of 30% to 42% with TTF at 260 hours to 1.312 hours, a reliability value of 22% to 41% with TTR at 1,57 hours to 2,26 hours, and the average availability value is above 99%. [ABSTRACT FROM AUTHOR]