Penentuan Tingkat Kritikalitas Peralatan Pembangkit Dengan Metode Equipment Criticality Management Dalam Rangka Penentuan Prioritas Pemeliharaan
Article Sidebar
Main Article Content
Abstract
The criticality level of equipment used at PT PLN (Pesero) power plants at present is using the Maintenance Priority Index (MPI) method. The calculation for the criticality rating of MPI equipment uses 4 (four) types of calculations, namely SCR, OCR, ACR and AFPF. To add to the consideration in determining the priority of equipment maintenance, an additional calculation of the criticality level of PLTU Tarahan equipment is carried out using the Equipment Criticality Management method. The Equipment Criticality Management method has 4 (four) assessment perspectives, namely Production, Safety, Environment and Equipment Failure. Calculations that have been carried out on the top 100 (one hundred) equipment in the PLTU Tarahan SERP using the Equipment Criticality Management method, there are 85 (eight five) equipment that has “High” criticality and 15 (fifteen) equipment in the “Medium” criticality category. 15 (fifteen) equipment that has “Medium” criticality is equipment that has backup and part of common generating equipment.
Downloads
Article Details
References
[2] L. Li and J. H. Qu, “Design and realization of enterprise assets management system in power plants,” Dianli Xitong Zidonghua/Automation Electr. Power Syst., vol. 29, no. 13, 2005.
[3] N. Fujisawa, S. Matsuo, Y. Yamamoto, and K. Nonaka, “Thermal power plant asset management with asset-centric data model,” Fujitsu Sci. Tech. J., vol. 50, no. 2, 2014.
[4] J. S. Mitchell, Pyshical Asset Managemen Handbook, 4th ed. Jakarta: MTS Indonesia, 2006.
[5] E. Hartini, S. Dibyo, and S. Pujiarta, “Determination of Maintenance Priority Index (Mpi) for Components on Rsg-Gas Safety System,” J. Teknol. Reakt. Nukl. Tri Dasa Mega, vol. 20, no. 2, p. 77, 2018, doi: 10.17146/tdm.2018.20.2.4283.
[6] M. BULUT and E. ÖZCAN, “A new approach to determine maintenance periods of the most critical hydroelectric power plant equipment,” Reliab. Eng. Syst. Saf., vol. 205, 2021, doi: 10.1016/j.ress.2020.107238.
[7] A. Silvestri, C. Cerbaso, D. Falcone, A. Forcina, and V. Duraccio, “Maintenance critical analysis and priority index: A new model for maintenance policy,” 26th Eur. Model. Simul. Symp. EMSS 2014, no. September, pp. 432–437, 2014.
[8] P. Velayutham and F. B. Ismail, “A Review on Power Plant Maintenance and Operational Performance,” in MATEC Web of Conferences, Nov. 2018, vol. 225, doi: 10.1051/matecconf/201822505003.
[9] EPRI, “Guideline on Proactive Maintenance,” p. 77, 2001.
[10] H. Sabouhi, A. Abbaspour, M. Fotuhi-Firuzabad, and P. Dehghanian, “Reliability modeling and availability analysis of combined cycle power plants,” Int. J. Electr. Power Energy Syst., vol. 79, pp. 108–119, Jul. 2016, doi: 10.1016/j.ijepes.2016.01.007.
[11] F. G. Carazas and G. F. M. Souza, “Risk-based decision making method for maintenance policy selection of thermal power plant equipment,” Energy, vol. 35, no. 2, pp. 964–975, 2010, doi: 10.1016/j.energy.2009.06.054.
[12] A. Pai and S. Rane, “Development and implementation of maintenance management module of enterprise resource planning in maintenance of power plant,” Int. J. Syst. Assur. Eng. Manag., vol. 5, no. 4, pp. 534–543, Dec. 2014, doi: 10.1007/s13198-013-0203-4.
[13] A. H. A. Melani, C. A. Murad, A. Caminada Netto, G. F. M. de Souza, and S. I. Nabeta, “Criticality-based maintenance of a coal-fired power plant,” Energy, vol. 147, pp. 767–781, Mar. 2018, doi: 10.1016/j.energy.2018.01.048.
[14] J. Mobray, Reliability Center Maintenance, Second. New York: PT Relogica Indonesia, 2011.
[15] PT PLN (Persero), “Equipment Critically Management - OPI,” Bogor, 2010.