Integrated ionic liquid and rate‐based absorption process design for gas separation: Global optimization using hybrid models. Issue 10 (12th June 2021)

• Record Type: Journal Article
• Authors: Zhang, Xiang; Ding, Xuechong; Song, Zhen; Zhou, Teng; Sundmacher, Kai
• Is Part Of: AIChE journal. Volume 67:Issue 10(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-06-12
• Subjects: absorption kinetics -- carbon capture -- computer‐aided ionic liquid design -- global optimization -- rate‐based absorption -- surrogate modeling; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; 660.28
• DOI: 10.1002/aic.17340
• Languages: English
• ISSNs: 0001-1541

Abstract

Abstract: A new method for integrated ionic liquid (IL) and absorption process design is proposed where a rigorous rate‐based process model is used to incorporate absorption thermodynamics and kinetics. Different types of models including group contribution models and thermodynamic models are employed to predict the process‐relevant physical, kinetic, and thermodynamic (gas solubility) properties of ILs. Combining the property models with process models, the integrated IL and process design problem is formulated as an MINLP optimization problem. Unfortunately, due to the model complexity, the problem is prone to convergence failure. To lower the computational difficulty, tractable surrogate models are used to replace the complex thermodynamic models while maintaining the prediction accuracy. This provides an opportunity to find the global optimum for the integrated design problem. A pre‐combustion carbon capture case study is provided to demonstrate the applicability of the method. The obtained global optimum saves 14.8% cost compared with the Selexol process.