Rahma, Diana Aulia (2022) Perancangan Sistem Pengendalian Kelembapan Pada Sistem Humidifikasi Proton Exchange Membrane Fuel Cell (PEMFC) Menggunakan Kontrol Umpan Maju. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
PEMFC merupakan salah satu teknologi energi terbarukan yang paling potensial karena efisiensinya yang tinggi dan tanpa emisi. Kondisi kelembapan relatif pada katoda yang terlalu rendah atau terlalu tinggi akan mengakibatkan adanya rugi-rugi tegangan pada PEMFC sehingga performansi fuel cell menurun. Penelitian ini mengusulkan perancangan sistem pengendalian kelembapan pada sistem humidifikasi PEMFC, yang terdiri dari supply manifold dan membrane humidifier. Pada sistem ini tekanan supply manifold memberikan pengaruh pada perpindahan massa dalam humidifier secara linier. Validasi pemodelan telah dilakukan dengan error sebesar 6.13%. Dalam penelitian ini struktur kontrol yang digunakan adalah kontrol umpan maju yang bekerja dengan prinsip mengukur gangguan secara langsung, yaitu arus beban, dan mengantisipasi pengaruh yang akan memberikan dampak pada output proses. Sistem pengendalian yang dirancang dapat meningkatkan kelembapan relatif aliran udara yang akan masuk ke katoda sehingga mendekati nilai optimumnya, yakni 90%, dengan error steady state sebesar 1.23%. Hasil ini secara teoritis mampu mempertahankan dan memaksimalkan tegangan keluaran secara keseluruhan dari PEMFC.
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PT. XYZ uses the Moving Average (MA) to forecast demand of spare parts. However, the accuracy is reduced for fluctuating data patterns, as in the demand seal Oring 065 and 125. Therefore, a demand forecast using other methods involving variables that might affect the demand for spare parts designed. Adaptive Neuro Fuzzy Inference System (ANFIS) by considering the effect of unit sales prices and the number of periodical service (PS) of heavy equipment units which using that seal Oring and Autoregresive Integrated Moving Average (ARIMA) is proposed as forecast method to obtain a lower error value. Heavy equipment reviewed are hydraulic excavator PC200 and bulldozer D85. Result shows that are there is a negative correlation between the PC200 and D85 sales price to demand of seal Oring. The lowest correlation is by demand seal Oring 065 to the D85 sales price and the highest by demand seal Oring 125 to the D85 sales price. Demand of seal Oring to the number of heavy equipment which do PS is positively correlated. Demand seal Oring 065 is not correlated with PS hydraulic excavator PC200 and the highest correlation is demand seal Oring 125 to PS D85. Demand forecast seal Oring 065 produced the lowest error using ANFIS grid partitioning 17 membership functions, while demand forecast seal Oring 125 gives the lowest error using ARIMA(1,1,0).
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSF 629.89 Rah p-1 2022 |
| Uncontrolled Keywords: | Humidifikasi, Kontrol Umpan Maju, PEMFC. Feedforward Control, Humidifier, PEMFC. |
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 11 May 2026 02:40 |
| Last Modified: | 11 May 2026 02:40 |
| URI: | http://repository.its.ac.id/id/eprint/133102 |
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