Aftami, Vivin Firdaus (2019) Optimisasi Desain pada Kettle Reboiler dengan Menggunakan Beberapa Metode Stochastic Algorithm. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Telah dilakukan optimisasi desain pada kettle reboiler dengan menggunakan beberapa metode stochastic algorithm. Optimisasi desain pada kettle reboiler dapat berdampak pada penurunan nilai fouling resistance baik pada sisi shell maupun sisi tube. Pada penelitian ini fungsi objektif optimisasi yang digunakan adalah fouling resistance yang minimal, sedangkan variabel yang dioptimisasi adalah diameter dalam shell (Ds) dan diameter luar tube (Do) dengan konstrain berupa pressure drop dan heat duty (Q). Metode optimisasi yang digunakan adalah Genetic Algorithm (GA), Duelist Algorithm (DA), dan Particle Swarm Optimization (PSO). Langkah pertama penelitian yang dilakukan adalah dengan pengambilan data desain reboiler dan kolom distilasi. Langkah kedua yaitu dilakukan simulasi plant menggunakan software Aspen Hysys V8.8, diberikan variasi umpan dengan penurunan sebesar 10% dan 5%, serta kenaikan sebesar 5%, dan 10% dari umpan normal untuk mengetahui pengaruh perubahan feed flow rate pada kolom distilasi terhadap beban panas yang diberikan ke reboiler. Langkah ketiga yaitu dilakukan pemodelan reboiler, perhitungan pressure drop, pemodelan fouling, dan pemodelan heat and mass balance. Kemudian dilakukan validasi dengan cara membandingkan hasil pemodelan dengan data desain reboiler. Langkah keempat yaitu dilakukan optimisasi fouling resistance. Hasil optimisasi terbaik diperoleh dari metode optimisasi Duelist Algortihm (DA) dengan penurunan diameter dalam shell (Ds) dan diameter luar tube (Do) yang dihasilkan yaitu sebesar 0,3 atau berkurang 32% dan 0,0169 m atau berkurang 32%. Luas permukaan perpindahan panas keseluruhan pun berkurang 12% menjadi 50,02539 m2. Perubahan geometri ini mengakibatkan penurunan fouling resistance yaitu sebesar 0,00013256 m2 oC/W pada sisi tube (Rft) atau berkurang 25% dan 0,0001373 m2 oC/W pada sisi shell (Rfs) atau berkurang 22%.
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Some design parameters of kettle reboiler were optimized using several stochastic algorithm methods. Optimization design of kettle reboiler can affect to decrease fouling resistance on shell side and tube side. The objective function in this optimization was used to get minimal fouling resistance value. Optimized variables were inner diameter of shell (Ds) and outer diameter of tube (Do), with pressure drop and heat duty as constraints. Optimization in this research used several algorithms, i.e. Genetic Algorithm (GA), Duelist Algorithm (DA) and Particle Swarm Optimization (PSO). Based on the data sheet of the existing reboiler, the design parameters were collected. Those parameters were subsequently simulated using Aspen HYSYS V8.8 software by changing the feed of distillation column in the range of -10% to +10% from normal feed in order to know the relation between feed flow rate at distillation column and heat duty given to the reboiler. Further, the reboiler was modelled. The modelled reboiler was then subjected to subsequent pressure drop calculation, fouling resistance calculation, and eventually heat and mass balance calculation. Those calculations were validated through the reboiler data sheet. Finally, the optimization of fouling resistance was carried out. The lowest fouling resistance optimization was obtained by using Duelist Algorithm (DA) with the decrease of shell inner diameter and tube outer diameter is 0.3 m or 32% and 0.0169 m or 32%. Surface area of overall heat transfer also decreased 12% or became 50.02539 m2. The change of geometry affected the decrease of fouling resistance to 25% or 0.00013256 m2 oC/W at tube side (Rft) and decreased to 25% or 0,0001373 m2 oC/W at shell side (Rfs).
Item Type: | Thesis (Other) |
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Additional Information: | RSF 621.402 5 Aft o-1 2019 |
Uncontrolled Keywords: | Kettle Reboiler, Fouling Resistance, Optimisasi, Desain geometri Heat Exchanger. |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) > TA593.35 Instruments, cameras, etc. T Technology > TJ Mechanical engineering and machinery > TJ263 Heat exchangers |
Divisions: | Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis |
Depositing User: | VIVIN FIRDAUS AFTAMI |
Date Deposited: | 13 Nov 2024 02:58 |
Last Modified: | 13 Nov 2024 02:58 |
URI: | http://repository.its.ac.id/id/eprint/69647 |
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