Proposed Turbine Maintenance Scheduling at A Steam Power Plant using Monte Carlo Simulation

DOI

10.2991/978-94-6463-732-8_31How to use a DOI?

Keywords

Monte Carlo; Maintenance Schedule; PLTU; Turbine

Abstract

In Indonesia, there are various sources of electricity generation, including steam power plants (PLTU), as a provider of electricity, the PLTU is expected to always work continuously so that consumers’ electricity needs can be fulfilled, power plants that always work continuously require regular maintenance in order to keep the power plant working continuously, uncontrolled maintenance schedule can result in damage to the power plant which disrupts the fulfillment of the need for electricity, especially the turbine generator which is one of the main parts of the power plant that converts kinetic energy into electrical energy. This research aims to provide ideal maintenance scheduling of turbine unit components/equipment so that they can always work continuously. One way to implement a good maintenance schedule is to use Monte Carlo simulation which is a probability statistical analysis method that uses random numbers as a basis when conducting its analysis, where the random numbers are related to the uncertainty of something which in this case is the time of failure to the PLTU Turbine component. When running the Monte Carlo simulation, it will use the Time to Failure (TTF) and Time to Repair (TTR) of PLTU Turbine components for the past 1 year. After determining the failure distribution, 100 random numbers will be generated, the random numbers will be determined based on the failure distribution of the previous TTF and TTR values. From the results of the random number failure distribution, the TTF and TTR values of the PLTU Turbine components in the future can be determined which are used to determine the optimal maintenance scheduling for PLTU Turbine components.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Restu Mukti Utomo
AU  - Muhammad Yusril R. Saypul
AU  - Muslimin Muslimin
PY  - 2025
DA  - 2025/06/07
TI  - Proposed Turbine Maintenance Scheduling at A Steam Power Plant using Monte Carlo Simulation
BT  - Proceedings of the International Conference on Tropical Studies and Its Application (ICTROPS 2024)
PB  - Atlantis Press
SP  - 337
EP  - 348
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-732-8_31
DO  - 10.2991/978-94-6463-732-8_31
ID  - Utomo2025
ER  -