A data-driven post-combustion carbon capture process automation optimization method, system, electronic device and storage medium

Abstract

The application provides a data-driven post-combustion carbon capture process automation optimization method, system, electronic equipment and storage medium. A data-driven post-combustion carbon capture process automation optimization method comprises the following steps: forming a modified carbon capture mechanism model for simulating a post-combustion carbon capture system; establishing bidirectional communication between an external optimization program and process simulation software in which the modified carbon capture mechanism model is located; deploying a meta-heuristic optimization algorithm, taking the modified carbon capture mechanism model or a proxy model as an evaluation function of the meta-heuristic optimization algorithm; setting an optimization objective function, taking operation parameters and structure parameters of the post-combustion carbon capture system as decision variables, running the meta-heuristic optimization algorithm, and obtaining an optimal parameter combination. The application realizes accurate modeling, stable calculation and efficient optimization of the post-combustion carbon capture process.

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