Optimisasi Kondisi Operasi Thermohydrolic Pada Plan Liquefaction Natural Gas Menggunakan Genetic Algorithm

Mardianto, Arif Tri (2017) Optimisasi Kondisi Operasi Thermohydrolic Pada Plan Liquefaction Natural Gas Menggunakan Genetic Algorithm. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitia terhadap plan liquefaction natural gas dengan
menggunakan propane precooling mixed refrigerant (C3MR)
sebagai refrigerant telah dilakukan. Tujuan dalam penelitian ini
adalah untuk meminimalkan nilai Operating Expenditure (OPEX)
sebagai biaya yang diperlukan untuk proses kompresi dan
pendinginan NG menjadi LNG dengan mempertimbangkan
pengaruh fouling pada equipment heat exchanger. Untuk
meminimalkan nilai OPEX, maka perlu dilakukan optimisasi
terhadap kondisi operasi proses liquefaction, dengan menjadikan
nilai OPEX sebagai fungsi objektif. Genetic Algorithm (GA)
digunakan sebagai optimaizer, dengan pressure (P) dan mass flow
rate (m) propane, serta komposisi dari mixed component
refrigerant (MCR) sebagai variabel optimisasi. Overall heat
transfer cofficient (U) dan pressure drop dari heat exchanger, serta
pressure drop dari setiap komponen juga dijadikan sebagai
constrain dalam optimisasi ini. Hasil optimisasi yang telah
dilakukkan, didapatkan besarnya penurunan shaft work dan nilai
OPEX yang masing-masing sebesar 16,39 % dan 2,47 %.
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Research to prove that plan liquefaction natural gas using
propane precooling mixed refrigerant (C3MR) could be used as
refrigerant has been conducted. The purpose of this research is to
minimized value of Operating Expenditure (OPEX) as cost that is
required for compression and cooling from NG into LNG
considering the fouling effect in equipment heat exhanger. In order
to minimized OPEX value, the optimization process is needed. The
OPEX value is the objective function and pressure (P), mass
flowrate (m), and composition of MCR as the variables of
optimization process. the GA technic is the optimizer. The Overall
heat transfer coefficient (U) and pressure drop of heat exchanger,
and also pressure drop from each other equipments are constraint
of optimization process. the results of optimization process are
showed that the shatf work and OPEX can be reduced to 16,39 %
and 2,47 % respectively.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Fouling, Genetic Algorithm, Operating Expenditure, Propane Precooling Mixed Refrigerant, Proses Liquefaction
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Industrial Technology > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Users 13 not found.
Date Deposited:	10 May 2017 07:37
Last Modified:	28 Dec 2017 08:45
URI:	http://repository.its.ac.id/id/eprint/41248

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