Increasing carbon dioxide emissions and the resulting global warming are a critical environmental concern. Ionic liquids (ILs) have recently gained attention as promising absorbents for carbon capture due to their favorable chemical and physical properties. Consequently, there is a need to develop process modeling and mathematical optimization techniques for the design and operation of IL-based carbon capture processes to identify optimal design and operation. This review presents recent advances in modeling and optimization of carbon capture plants using ILs. We focus on flowsheet simulation, nonlinear dynamics, variations in plant load and energy prices, and multiscale design.

中文翻译：

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使用离子液体溶剂的碳捕获过程的设计和优化

二氧化碳排放量的增加以及由此导致的全球变暖是一个严重的环境问题。离子液体（IL）由于其良好的化学和物理特性，最近作为有前途的碳捕获吸收剂而受到关注。因此，需要开发用于基于 IL 的碳捕获过程的设计和操作的过程建模和数学优化技术，以确定最佳设计和操作。本综述介绍了使用离子液体进行碳捕集工厂建模和优化的最新进展。我们专注于流程图模拟、非线性动力学、工厂负荷和能源价格的变化以及多尺度设计。