Abstract
•Hysys and Matlab model were linked by HDSS code.•Surrogate model using RBF approach with thin plate spline kernel function was employed.•Adaptation of feasible region and model identification was made.•PSO and GA optimization algorithm were applied to both Hysys and surrogate model.•Results obtained were found to be promising with less computational efforts.
In this study, surrogate-assisted modeling and optimization of the single mixed refrigerant process of natural-gas liquefaction is presented. The mixed refrigerant liquefaction process is highly nonlinear owing to the involved thermodynamics that increase the computational burden of any optimization algorithm. To address the computational-burden issue and obtain the results in a reasonable time for the complex single mixed refrigerant process, an approximate surrogate model was developed using a radial basis function combined with a thin-plate spline approach. Even with the reduced model, all the results obtained were comparable with those by rigorous first-principle models. This confirms that all the important characteristics of the model are correctly captured, and the surrogate models of the liquefaction plant are acceptable replacements of first-principle models, especially in computationally demanding situations.
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