Hardyant, Ray (2019) Perancangan Sistem Monitoring Tekno-Ekonomi Pada Boiler PLTU Berbasis Internet Of Things (IoT). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada pembangkit listrik terdapat boiler yang menghasilkan pressure dan temperature yang sangat tinggi dibandingkan dengan komponen lainnya yang terdapat pada PLTU, sehingga memiliki risiko dan dampak yang sangat besar apabila terjadinya failure atau kegagalan operasi. Sistem monitoring pada penelitian ini dilakukan dengan pembuatan aplikasi android dan desktop, dengan cara menghubungkan data operasi yang terlebih dahulu diunggah pada database MySQL dengan aplikasi pada android dan desktop.
Perancangan sistem simulasi monitoring unjuk kerja boiler dilakukan dengan menghitung efisiensi berdasarkan data operasi dengan metode langsung dan analisis penurunan performa mesin berdasarkan data keluaran. Hasil dari simulasi monitoring boiler berbasis IoT selama 1 bulan rata-rata memiliki efisiensi sebesar 84,4% , Qsteam 1287 MW, Qinput 1525 MW, entalpi feedwater sebesar 1148 kJ/kg, entalpi steam 3389,4 kJ/kg, serta biaya kebutuhan bahan bakar sebesar sekitar Rp.58 Milyar. Hasil dari keluaran sensor pada software hasil perancangan desktop menunjukkan komponen superheater dan feedwater heater bekerja dengan baik dan tidak ada deteksi gejala gangguan dalam waktu dekat. Sistem monitoring pada tugas akhir dapat melakukan simulasi monitoring performa boiler secara online hingga dapat menentukan gejala penurunan mesin berdasarkan keluaran sensor.
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In a power plant there is a boiler producing high pressure and temperature compares to other components contained in Steam Electricity Power Plant. It poses a very high risk and effect if there is a failure (operation failure). The monitoring system in this study was created in an android and desktop application by connecting the operational data that has been uploaded to MySQL database. The design of a monitoring simulation system for the boiler was done by calculating its efficiency using direct method and analyzing the engine performance reduction according to the sensor output. There were two sensors used in this research, namely sensors located at superheater and feedwater heater components. According to the data collected from these two sensors, in one month the boiler showed an efficiency of 84,4%, Qsteam of 1287 MW, Qinput of 1525 MW, feedwater entalphy of 1148 kJ/kg, steam entalphy of 3389,4 kJ/kg and cost of fuel consumption of about Rp. 58 billion. In general, based on the monitored data collected from two sensors, it was indicated that two sensors have worked properly and no indication of any disturbances in the mean time, and the monitoring system was able to perform an online boiler performance monitoring properly.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Sistem Monitoring,Tekno-ekonomi,Boiler PLTU,Internet of Things |
| Subjects: | T Technology > T Technology (General) > T55 Industrial Safety T Technology > TJ Mechanical engineering and machinery > TJ164 Power plants--Design and construction T Technology > TJ Mechanical engineering and machinery > TJ217.6 Predictive Control T Technology > TJ Mechanical engineering and machinery > TJ263.5 Boilers (general) |
| Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Ray Hardyant |
| Date Deposited: | 24 Sep 2024 05:58 |
| Last Modified: | 24 Sep 2024 05:58 |
| URI: | http://repository.its.ac.id/id/eprint/68525 |
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