Apsari, Pastika Sekar (2026) Pengembangan Sistem Monitoring Overall Equipment Effectiveness (OEE) Dan Analisis Six Big Losses Pada Main Cooling Water System Di Pembangkit Listrik Tenaga Panas Bumi. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Peningkatan kebutuhan energi listrik dan target bauran energi baru terbarukan mendorong pembangkit listrik tenaga panas bumi untuk memiliki tingkat keandalan, kinerja, dan efisiensi yang optimal. Salah satu sistem penting dalam menjaga efektivitas operasi PLTP adalah Main Cooling Water System yang berperan dalam proses pendinginan, menjaga kondisi vakum kondensor, serta mendukung kestabilan operasi pembangkit. Permasalahan berupa tingginya aktivitas maintenance pada sistem ini menunjukkan perlunya pemantauan kinerja yang mampu mengidentifikasi kondisi operasi, menghitung efektivitas peralatan, dan menentukan jenis kerugian utama yang memengaruhi performa sistem. Penelitian ini juga sejalan dengan Sustainable Development Goals (SDGs) No. 9 tentang industri, inovasi, dan infrastruktur, karena berfokus pada pengembangan inovasi sistem pemantauan berbasis condition monitoring untuk mendukung keandalan industri energi panas bumi. Penelitian ini mengembangkan simulasi sistem monitoring berbasis MATLAB pada Main Cooling Water System yang terdiri dari Condenser, Main Cooling Water Pump, dan Cooling Tower. Metode yang digunakan meliputi pemodelan klasifikasi kondisi operasi, perhitungan Overall Equipment Effectiveness berdasarkan parameter availability, performance, dan quality, serta analisis Six Big Losses untuk mengidentifikasi penyebab utama penurunan efektivitas peralatan. Data yang digunakan merupakan data historis operasi tahun 2023–2024. Hasil penelitian menunjukkan bahwa model klasifikasi mampu mengidentifikasi kondisi operasi setiap peralatan dengan sangat baik, ditunjukkan oleh nilai accuracy, precision, recall, dan F1-score masing-masing sebesar 99,97%. Nilai OEE pada seluruh peralatan selama tahun 2023–2024 telah melampaui standar minimum sebesar 85%. Nilai OEE pada condenser sebesar 92,24% pada tahun 2023 dan 90,27% pada tahun 2024. Nilai OEE pada Main Cooling Water Pump sebesar 96,05% pada tahun 2023 dan meningkat menjadi 97,16% pada tahun 2024. Nilai OEE pada cooling tower sebesar 93,84% pada tahun 2023 dan 93,58% pada tahun 2024. Analisis Six Big Losses menunjukkan bahwa Reduced Speed Losses menjadi jenis kerugian paling dominan pada ketiga peralatan, sehingga pemantauan parameter kinerja secara berkelanjutan diperlukan untuk menjaga efektivitas dan keandalan sistem.
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The increasing demand for electrical energy and the national target for a higher share of renewable energy encourage geothermal power plants to maintain optimal reliability, performance, and efficiency. One of the key systems supporting the operational effectiveness of a geothermal power plant is the Main Cooling Water System, which functions in the cooling process, maintains condenser vacuum conditions, and supports stable power plant operation. The high number of maintenance activities in this system indicates the need for performance monitoring that can identify operating conditions, calculate equipment effectiveness, and determine the main types of losses affecting system performance. This research is also aligned with Sustainable Development Goals (SDGs) No. 9 on industry, innovation, and infrastructure, as it focuses on developing an innovative condition monitoring-based system to support the reliability of the geothermal energy industry. This research develops a MATLAB-based monitoring system simulation for the Main Cooling Water System, consisting of the Condenser, Main Cooling Water Pump, and Cooling Tower. The methods include operating condition classification modeling, Overall Equipment Effectiveness calculation based on availability, performance, and quality, and Six Big Losses analysis to identify the main causes of reduced equipment effectiveness. The data used are historical operational data from 2023 to 2024. The results show that the classification model can identify the operating condition of each piece of equipment very well, with accuracy, precision, recall, and F1-score values of 99.97%. The OEE values of all equipment during 2023–2024 exceeded the minimum standard of 85%. The Condenser obtained OEE values of 92.24% in 2023 and 90.27% in 2024. The Main Cooling Water Pump obtained 96.05% in 2023 and increased to 97.16% in 2024. The Cooling Tower obtained 93.84% in 2023 and 93.58% in 2024. The Six Big Losses analysis shows that Reduced Speed Losses are the most dominant losses in all three pieces of equipment, indicating that continuous performance monitoring is required to maintain system effectiveness and reliability.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Condition Monitoring, Geothermal Energy, Main Cooling Water System, Overall Equipment Effectiveness, Six Big Losses |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA169 Reliability (Engineering) |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Pastika Sekar Apsari |
| Date Deposited: | 03 Aug 2026 08:25 |
| Last Modified: | 03 Aug 2026 08:25 |
| URI: | http://repository.its.ac.id/id/eprint/141421 |
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