Ionic liquids (ILs) are a promising class of absorbents for next-generation carbon-capture processes. In particular, aprotic heterocyclic anion ILs (AHAs) have received significant attention due to their ability to chemically absorb CO₂ without a significant increase in viscosity. The development of process modeling and mathematical optimization approaches for AHA-based carbon-capture processes is essential for the evaluation of economic feasibility before industrial implementation. In this paper, we use a pseudo-transient modeling approach that enables the robust simulation and optimization of the large-scale process flowsheet. A Langmuir-type model that incorporates both the chemical and physical uptake of CO₂ is used to describe the equilibrium absorption of CO₂ by the IL. A rigorous rate-based model for the absorption column is employed to account for the effect of reversible chemical reactions on mass transfer. The models are then used to carry out economic optimization of a prototypical IL-based carbon-capture process. A sensitivity analysis of important IL properties is provided, revealing the key factors that affect IL choice. Finally, a comparison to an advanced amine-based process is briefly discussed.

中文翻译：

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基于速率的离子液体燃烧后碳捕集的工艺优化和灵敏度分析

离子液体（ILs）是用于下一代碳捕获工艺的有前景的吸收剂。特别地，非质子杂环阴离子IL（AHA）由于其化学吸收CO ₂的能力而粘度没有显着增加而受到了广泛的关注。基于AHA的碳捕获过程的过程建模和数学优化方法的开发对于在工业实施之前评估经济可行性至关重要。在本文中，我们使用伪瞬态建模方法，可以对大型工艺流程进行鲁棒的仿真和优化。结合了化学和物理吸收CO ₂的Langmuir型模型用于描述CO ₂的平衡吸收由IL。对于吸收塔，使用基于速率的严格模型来说明可逆化学反应对传质的影响。然后，将模型用于对基于IL的原型碳捕集过程进行经济优化。提供了重要的IL特性的敏感性分析，揭示了影响IL选择的关键因素。最后，简要讨论了与基于胺的高级工艺的比较。