Analysis of Maintenance Strategy Based on System Equipment Reliability Prioritization (SERP) and Reliability Block Diagram for a Small-Scale 10 MW Geothermal Power Plant

Ramdani Alfan Subekti, Udi Harmoko, Gatot Yuliyanto

Abstract


The Dieng Geothermal Working Area (WKP) is an area located in Wonosobo, Banjarnegara and Batang Regencies with a geothermal energy potential of 400 MW, but currently, of the total potential of 400 MW available, only around 70 MW of geothermal energy is utilized as Geothermal Power Plant (PLTP) with a capacity of 60 MW and Small Scale Geothermal Power Plant (PLTP) 10 MW. This research aims to identify the factors that cause equipment unreliability of the 10 MW Small Scale Geothermal Power Plant System based on the Maintenance Priority Index (MPI) and Determine the appropriate maintenance strategy with a cost-benefit analysis approach to improve reliability of power plant operations. The research conducted by the author is included in quantitative research using operational data processing methods and equipment system maintenance data in the field to determine the Maintenance Priority Index (MPI) ranking, which is part of the SERP. The parameters used in data collection use a manual book, a book about reliability. The types of data taken are primary data and secondary data. Analysis of the Reliability Block Diagram (RBD) to obtain the availability of 10 MW Small Scale PLTP equipment before repairs were carried out using isograph software obtained the lowest result for the turbine, with an availability value of 94.7%. Based on the MPI analysis, it was found that the turbine equipment was ranked first, namely with a value of 659.7, while the lowest ranking was blow tank equipment with a value of 50.7. From the combined results of the availability value of 94.7% and the MPI value of 659.7.  The results of the repairs carried out by looking for the root cause and the repair method obtained, namely by repairing the rotor using the straightening process, was able to overcome the problem increase the system availability value and obtain a Profitability index value of 5.71, so based on the investment requirements it is said to be feasible if the profitability value index if the PI value is > 1.  Furthermore, to determine the maintenance strategy, a simulation of the forecast value of repair time (MTTR) is carried out on availability, electricity production, company income, maintenance costs and income margin on maintenance costs. With this analysis, the highest margin value was obtained at 7.16 using a target repair time (MTTR) of 211.68 hours and an availability value of 96.8% was obtained, so this can be a company reference for determining future repair times

Keywords


Maintenance Prioritization Index; Reliability Block Diagram; Small-Scale; Geothermal Power Plants.

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References


A. El Fandari, A. Daryanto, and G. Suprayitno, “Pengembangan Energi Panas Bumi yang Berkelanjutan,” J. Ilm. Semesta Tek., vol. 17, no. 1, pp. 68–82, 2014.

R. I. Rosihan and H. A. Yuniarto, “Analisis Sistem Reliability dengan Pendekatan Reliability Block Diagram,” J. Teknosains, vol. 9, no. 1, p. 57, 2019.

R. Gulati and R. Smith, Maintenance and Reliability Best Practices Maintenance and Reliability Best Practices, vol. 2009. 2009.

D. Moya, C. Aldás, and P. Kaparaju, “Geothermal energy: Power plant technology and direct heat applications,” Renew. Sustain. Energy Rev., vol. 94, no. April 2017, pp. 889–901, 2018.

M. A. Pratama, “Analisa Reliability Dengan Menggunakan Metode Reliability entered Maintenance (RCM) II pada Sistem Stripper CO2 di PT. Petrokimia Gresik,” 2017.

Jatmiko Darmawan Eko, “Pemeliharaan dan Keandalan System Equipment PT Z,” pp. 1–93, 2019.

W. Maulana and R. N. Fitriani, “Analisis Kelayakan Finansial Dalam Pengambilan Keputusan Pada Industri Kecil Menengah Pamekasan,” Ekopem J. Ekon. Pembang., vol. 4, no. 1, pp. 74–84, 2022.




DOI: http://dx.doi.org/10.52155/ijpsat.v45.1.6299

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