USULAN KEBIJAKAN PEMELIHARAAN PADA KOMPONEN KRITIS PLTU X

• Main Author: Syahzada Achmad, Galih
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/81334
• Institution: Institut Teknologi Bandung

PLTU X is one of the largest power plants in its city with a capacity of 660 MW. The operational system of the PLTU unit is classified into specific areas and components, each of which has a corrective maintenance system. Maintenance activities affect downtime, availability loss, maintenance costs, and reliability levels, prompting a proposal for the application of a new maintenance strategy based on costs. Critical areas and components identified include the coal handling area, with critical component issues such as Submerged Flight Conveyor (SFC), coal feeder, and crusher. The nature of the critical component failures is repairable, requiring a study of statistical distribution testing to the Non-Homogenous Poisson Process (NHPP) pattern which all critical components reject ?0 which resulted all critical components are following the NHPP pattern. Critical components following the NHPP pattern undergo testing with the crow model, resulting in two parameters include ? ?and ? ?. The costs of maintenance are the main parameter that used to determine whether the policy of preventive maintenance could save costs. Based on cost analysis, the preventive maintenance saved approximately Rp57,956,053 or 4.79% of costs compared to the current existing maintenance policy. Based on that savings, it is determined that scheduling for preventive maintenance is the aim for increasing the profits of the stakeholders. Identifying the time between maintenance (t*) is the main goal for modelling the preventive maintenance schedule. The t* is identified as 44 days for SFC, 60 days for coal feeder while crusher’s t* is identified as 40 days have a preventive maintenance. By applying the newly made schedule, the level of reliability is above the reliability level of 60% and the level of availability is at above power plant’s standard of 98%.