Optimisasi Perancangan Kontrol Gas Processing Plant Menggunakan Metode Plantwide Control

Mujiyanti, Safira Firdaus (2020) Optimisasi Perancangan Kontrol Gas Processing Plant Menggunakan Metode Plantwide Control. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penggunaan energi hidrokarbon saat ini masih sangat dominan, dimana energi hidrokarbon yang paling efisien adalah gas alam. Agar gas alam dapat digunakan dengan baik, maka harus diproses terlebih dahulu pada suatu plant untuk dihilangkan kandungan H2S, CO2 dan H2O yang disebut Gas Processing Plant. Plant terbagi dua unit Gas Sweetening System dan Gas Dehydrating System. Adanya material recycle, integrasi panas serta produksi gas alam yang tidak selalu stabil menjadi permasalahan dalam plant ini, sehingga pengendalian proses plant yang kompleks dibutuhkan dalam menyelesaikan permasalahan ini. Perancangan desain Plantwide Control (PWC) pada Gas Processing Plant diharapkan mampu menyelesaikan permasalahan tersebut, yang akan dibuktikan dengan adanya analisis dampak dari sisi energi, ekonomi dan dari kestabilan plant. Metode PWC yang digunakan menurunkan metode milik Luyben dan Skogestad, dimana akan dibagi menjadi delapan langkah yaitu, penentuan fungsi objektif, penentuan variabel ekonomi, penentuan laju produksi, analisis derajat kebebasan, perancangan regulatory control, integrasi proses, perancangan supervisory control dengan menggunakan Model Predictive Control (MPC) dan optimisasi. Hasil optimisasi perancangan PWC mampu memberikan perubahan set point akibat adanya disturbance, dimana untuk pengendali laju aliran massa Lean Amine didapatkan set point sebesar 47,363.7 kg/h dan set point pengendali laju aliran massa Lean Triethilene Glycol sebesar 7,560.61 kg/h. Hasil perancangan PWC dengan uji perubahan feed mampu menurunkan penggunaan energi sebesar 52366.00 kJ/h, meningkatkan profit sebesar 688.19 U$ per hari serta menghasilkan respon sistem yang stabil, dibuktikan dengan settling time, overshoot serta eror steady state serta nilai Integral Absolute Error (IAE) yang menurun dibandingkan dengan pengendalian PID saja sebelum dilakukan perancangan PWC. Nilai IAE untuk respon pengendali laju aliran massa Lean Amine menurun sebesar 63,662 sedangkan untuk pengendali laju aliran massa Lean Triethilene Glycol menurun sebesar 25,928.
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The current use of hydrocarbon energy is still very dominant, where the most efficient hydrocarbon energy is natural gas. To use natural gas properly, it must be processed in a plant called Gas Processing Plant. The function of this plant is to remove the dangerous component like H2S, CO2 and H2O. This plant divided by two systems, namely Gas Sweetening System and Gas Dehydrating System. The presence of recycle material, integration of heat and among of natural gas production from well become the problems in this plant, so that the control design of this complex plant is needed to solve this problems. Control design with Plantwide Control (PWC) method of Gas Processing Plant expected to be able to solve this problem, Which will be evidenced by the analysis of the impact of energy, economics and the stability of plant. PWC method used develop from the Luyben and Skogestad’s PWC theories, Which will be divided into eight steps, namely determine objective function, determine economical variabel, determine throughout manipulator, control degree of freedom analysis, regulatory control design, process integration, supervisory control design with Model Predictive Control (MPC) dan optimization. The result of control design optimization with PWC give the set point change because the disturbance, where for the mass flow rate of Lean Amine is 47,363.7 kg/h and for the mass flow rate of Lean Triethilene Glycol is 7,560.61 kg/h. In the other hand, this method can minimize the energy consumption until 52366.00 kJ/h, increase the profit until 688.19 U$ per day and produces a stable system response, evidenced by settling time, overshoot, steady state errors and Integral Absolute Error (IAE) value in comparison with the PID control and feedforward control design.. The IAE value for Lean Amine mass flow controller response was decreased by 63.662 whereas for Lean Triethilene Glycol mass flow controllers decreased by 25.928.

Item Type: Thesis (Masters)
Additional Information: 3100020085208 RTF 629.89 Muj o-1
Uncontrolled Keywords: Gas Processing, Model Predictive Control, Plantwide Control
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ223 PID controllers
T Technology > TP Chemical technology > TP350 Natural gas--Drying.
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21101-(S2) Master Thesis
Depositing User: Safira Firdaus Mujiyanti
Date Deposited: 23 Dec 2022 02:49
Last Modified: 23 Dec 2022 02:49
URI: http://repository.its.ac.id/id/eprint/73951

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