A method and system for parameter optimization based on direct air carbon capture system

Abstract

This invention relates to the interdisciplinary field of carbon emission reduction and industrial intelligent optimization, specifically a parameter optimization method and system based on a direct air carbon capture (DAC) system. The method includes: acquiring a physical simulation model of the DAC system, controllable parameter types, controllable parameter ranges, environmental parameter ranges, and current environmental parameters; setting constraints based on the controllable parameter types; constructing a proxy model for evaluation indices using Gaussian process regression based on the controllable parameter ranges, environmental parameter ranges, constraints, and the physical simulation model; and iteratively obtaining the optimal parameter combination using a multi-objective optimization algorithm based on the controllable parameter ranges, constraints, current environmental parameters, and the proxy model. This invention solves the problem in existing technologies where the controllable parameters of a DAC system cannot be adaptively adjusted according to environmental parameters, resulting in insufficient operating efficiency, through the use of a proxy model and optimization algorithm.

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