Simulation-Based Optimization Methodology for Offshore Natural Gas Liquefaction Process Design

Abstract

A simulation-based optimization framework is introduced. First, a base case design is conducted using the commercial simulator. Then, design variables are decided. Next, minimum and maximum ranges of the design variable are determined. We will call this the design space. A comprehensive simulation of the design space is executed. Next, empirical modeling of this design space is performed. This is called the process mapping step. After verification of the model using a test data set, the optimization problem is solved using the developed data-driven model. The methodology is applied to the optimal design of a natural gas liquefaction process for an offshore liquefied natural gas (LNG) plant.

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