Optimasi Kondisi Operasi Proses Pencairan Gas Alam Dengan Pendekatan Analisis Termodinamik Menggunakan Algoritma Genetika

Widodo, Anton (2016) Optimasi Kondisi Operasi Proses Pencairan Gas Alam Dengan Pendekatan Analisis Termodinamik Menggunakan Algoritma Genetika. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pada penelitian ini operating expenditure (OPEX) pada
proses propane precooling mixed refrigerant (C3MR) menjadi
bahan kajian. Nilai OPEX dihitung dari biaya yang dibutuhkan
untuk system kompresi, dan pendinginan. Untuk mengurangi biaya
operasi dari proses maka diperlukan perlakuan khusus salah
satunya adalah dengan mengoptimasi kondisi operasi plant. Nilai
OPEX dijadikan sebagai fungsi objektif dari optimasi. Metode
Genetic Algorithm (GA) digunakan untuk meminimalkannya.
Tekanan (P), mass flow rate (m) propane dan komposisi dari mixed
component refrigerant (MCR) menjadi variabel dalam penelitian
ini beberapa constraint termasuk overall heat transfer area (UA)
dari heat exchanger dan pressure drop pada setiap komponen.
Hasil dari optimasi menunjukkan biaya operasi dapat disimpan
sampai 6,24% menjadi 112,347 $/tonne LNG. Efisiensi exergy
juga mengalami peningkatan dari 7,13% menjadi 14,10% dengan
kondisi operasi tekanan dan mass flow propane refrigerant sebesar
1,599 MPa, 325,452 kg/s serta tekanan dan mass flow MCR
refrigerant sebesar 5,499 MPa, 168,516 kg/s.

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Operating expenditure (OPEX) in the process of propane precooling
mixed refrigerant (C3MR) is the research object. Value of
OPEX is measured from amount cost for compression system, and
refrigeration. It is needed specific treatments to decrease amount
cost of operation from the process; one of them is optimizing the
condition of plant operation. The value of OPEX is as an objective
function from optimization. Genetic Algorithm (GA) is used to
minimize it. Pressure (P), mass flow rate (m) propane and the
composition of mixed component refrigerant are the variable in
this research, some constraint including overall heat transfer area
(UA) from heat exchanger and pressure drop in each component.
The result of optimization shows the effort from amount cost of
operation can be stored until 6.24%become 112.347 $/tonne LNG.
Exergy efficiency also increases from 7.13% to 14.10% with
operating condition pressure and mass flow rate propane
refrigerant are 1.599, MPa, 325.452 kg/s and pressure and mass
flow rate MCR refrigerant are 5.499 MPa, 168.516 kg/s.

Item Type: Thesis (Undergraduate)
Additional Information: RSF 622 Wid o
Uncontrolled Keywords: Biaya Operasi, Proses Pencairan Gas Alam, Propane Precooling Mixed Refrigerant, Algoritma Genetika, Operating Expenditure, Process of Natural Gas Liquefaction, Propane Pre-cooling Mixed Refrigerant, Genetic Algorithm
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms
Divisions: Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User: Anis Wulandari
Date Deposited: 06 Jul 2017 04:49
Last Modified: 27 Dec 2018 08:42
URI: http://repository.its.ac.id/id/eprint/41897

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