Strategi Pemeliharaan Pembangkit Listrik Tenaga Surya Menggunakan Failure Mode, Effect, and Criticality Analysis (Studi Kasus: Living Laboratory Renewable Energy Integration Demonstrator Of Indonesia (REIDI) ITS)

Mahendra, Muhammad Rijal Agil (2026) Strategi Pemeliharaan Pembangkit Listrik Tenaga Surya Menggunakan Failure Mode, Effect, and Criticality Analysis (Studi Kasus: Living Laboratory Renewable Energy Integration Demonstrator Of Indonesia (REIDI) ITS). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

PLTS REIDI ITS yang telah beroperasi sejak 2024 menghadapi kendala kritis berupa ketiadaan dokumentasi pemeliharaan, kerusakan infrastruktur monitoring dan sensor iradiasi. Analisis statistik dengan metode performance to peers yaitu perbandingan daya keluaran antar unit pada kondisi operasi yang identik, digunakan sebagai alternatif analisis tanpa bergantung data cuaca yang diperkuat dengan shewhart control chart untuk mendiagnosis jenis kegagalan, kemudian melalui FMECA diidentifikasi komponen paling kritis yang dilengkapi dengan analisis keandalan, ketersediaan, dan kemampu-rawatan untuk memberikan gambaran kuantitatif kesehatan sistem. Temuan awal penelitian ini menunjukkan karakter sistem yang mengalami decreasing failure rate untuk gangguan penurunan performa operasional sistem dengan nilai keandalan 3,0% hingga 3,4% dan availability berkisar antara 94,69% hingga 95,01%. Pemeliharaan berbasis pemantauan kondisi sistem direkomendasikan untuk empat jenis tugas pemeliharaan berdasarkan jenis failure mode yang telah diklasifikasikan.
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The ITS REIDI Solar Power Plant, which has been in operation since 2024, faces critical challenges in the form of a lack of maintenance documentation, as well as damage to monitoring infrastructure and irradiance sensors. A Statistical analysis using the “performance-to-peers” method, which compares power output among units under identical operating conditions, was employed as an alternative analysis method that does not rely on weather data, supplemented by a Shewhart control chart to diagnose failure modes. Subsequently, an FMECA was conducted to identify the most critical components, complemented by reliability, availability, and maintainability analyses to provide a quantitative assessment of the system’s health. Preliminary findings of this study indicate that the system exhibits a decreasing failure rate for operational underperformance, with reliability values ranging from 3.0% to 3.4% and availability ranging from 94.69% to 95.01%. Condition-based maintenance is recommended for four types of maintenance tasks based on the classified failure modes.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Analisis Statistik, Energi Surya, FMECA, Pemeliharaan, Teknologi Rendah Karbon, Infrastruktur Energi, Energy Infrastructure, FMECA, Low Carbon Technology, Solar Energi, Statistical Analysis, Maintenance
Subjects:	T Technology > T Technology (General) > T174.5 Technology--Risk assessment. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1001 Production of electric energy or power T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1087 Photovoltaic power generation T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1322.6 Electric power-plants T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2692 Inverters T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7870.23 Reliability. Failures T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7872 Electric current converters, Electric inverters. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7882.P3 Pattern recognition systems
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Rijal Agil Mahendra
Date Deposited:	31 Jul 2026 08:45
Last Modified:	31 Jul 2026 08:45
URI:	http://repository.its.ac.id/id/eprint/141001

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