Optimization control of LNG regasification plant using Model Predictive Control

Abdul Wahid, F. F. Adicandra

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

Optimization of liquified natural gas (LNG) regasification plant is important to minimize costs, especially operational costs. Therefore, it is important to choose optimum LNG regasification plant design and maintaining the optimum operating conditions through the implementation of model predictive control (MPC). Optimal tuning parameter for MPC such as P (prediction horizon), M (control of the horizon) and T (sampling time) are achieved by using fine-tuning method. The optimal criterion for design is the minimum amount of energy used and for control is integral of square error (ISE). As a result, the optimum design is scheme 2 which is developed by Devold with an energy savings of 40%. To maintain the optimum conditions, required MPC with P, M and T as follows: tank storage pressure: 90, 2, 1; product pressure: 95, 2, 1; temperature vaporizer: 65, 2, 2; and temperature heater: 35, 6, 5, with ISE value at set point tracking respectively 0.99, 1792.78, 34.89 and 7.54, or improvement of control performance respectively 4.6%, 63.5%, 3.1% and 58.2% compared to PI controller performance. The energy savings that MPC controllers can make when there is a disturbance in temperature rise 1°C of sea water is 0.02 MW.

Original languageEnglish
Article number012022
JournalIOP Conference Series: Materials Science and Engineering
Volume334
Issue number1
DOIs
Publication statusPublished - 6 Apr 2018
Event3rd International Conference on Chemical Engineering Sciences and Applications 2017, ICChESA 2017 - Banda Aceh, Indonesia
Duration: 20 Sep 201721 Sep 2017

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