Simulation-Based Optimization of a Multiple Gas Feed Sweetening Process.

ABSTRACT: For an energy-intensive sweetening process, it is common that sour gases from different sources are sent to a single sweetening plant in industries. In our previous work, a multiple gas feed sweetening process was proposed, which can simultaneously improve the purity of H₂S and reduce the energy consumption of the plant. This study aims to develop the superstructure of that process and use a simulation-based optimization framework with Aspen HYSYS as the process simulator and particle swarm optimization algorithm as the optimizer. In addition, by taking full advantage of the robustness of the built-in algorithm of the simulator, the convergence of the model is improved; meanwhile, simplification of the process and reduction of the optimization time are accessible with the propos

SUBMITTER: Zhu W 

PROVIDER: S-EPMC8793078 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature