Reliability Analysis as A Maintenance Optimization Strategy at PT PLN Indonesia Power Unit PLTP Gunung Salak

Abstract

The Gunung Salak Geothermal Power Plant (GPP), which has been operating for 30 years until now, has experienced several failures that tend to increase from time to time. Failure of power plant equipment and the length of repair time will result in the loss of production. Based on equipment failure data from GPP, there is an indication of ineffectiveness in the implementation of maintenance activities that have been carried out. Maintenance strategies can be determined from reliability analysis and failure prediction. Reliability analysis is expected to maintain power plant equipment from the risk of failure which causes force outage. This study applies a statistical model based on the Weibull-2 Distribution Parameter Method to determine the reliability of the model and failure prediction in power plant equipment. From the equipment failure data obtained, the Mean Time Between Failure (MTBF) value will then be determined. The results of the calculations that have been carried out, the Mean Time Between Failure (MTBF) values ​​obtained for each piece of equipment are as follows: Turbine 20,156 hours; Cooling Tower 23,781 hours; Condenser 17,685 hours. The interval maintenance outage calculated by reliability analysis showed that turbine equipment, cooling tower, and condenser suggested to be overhaul every 2 years to reduce possibilities of failure.