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 %. ================================================================================================================== 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 > (S1) Undergraduate Theses
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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