A Review on Process Modeling and Simulation of Cryogenic Carbon Capture for Post-Combustion Treatment

Hossein Asgharian, Florin Iov, Samuel Simon Araya, Thomas Helmer Pedersen, Mads Pagh Nielsen, Ehsan Baniasadi and Vincenzo Liso ()
Additional contact information
Hossein Asgharian: Department of AAU Energy, Aalborg University, Pontoppidanstræde 111, 9220 Aalborg, Denmark
Florin Iov: Department of AAU Energy, Aalborg University, Pontoppidanstræde 111, 9220 Aalborg, Denmark
Samuel Simon Araya: Department of AAU Energy, Aalborg University, Pontoppidanstræde 111, 9220 Aalborg, Denmark
Thomas Helmer Pedersen: Department of AAU Energy, Aalborg University, Pontoppidanstræde 111, 9220 Aalborg, Denmark
Mads Pagh Nielsen: Department of AAU Energy, Aalborg University, Pontoppidanstræde 111, 9220 Aalborg, Denmark
Ehsan Baniasadi: Department of Mechanical Engineering, Faculty of Engineering, University of Isfahan, Hezar Jerib Ave., Isfahan 81746-73441, Iran
Vincenzo Liso: Department of AAU Energy, Aalborg University, Pontoppidanstræde 111, 9220 Aalborg, Denmark

Energies, 2023, vol. 16, issue 4, 1-35

Abstract: The cryogenic carbon capture (CCC) process is a promising post-combustion CO 2 removal method. This method is very novel compared with conventional and well-developed methods. However, cryogenic carbon capture is not yet commercially available despite its techno-economic benefits. Thus, a model-based design approach for this process can provide valuable information. This paper will first introduce the cryogenic carbon capture process. Then, a comprehensive literature overview that focuses on different methods for modeling the process at the component level will be given. The modelling methods which are deemed most effective are presented more in depth for each of the key system components. These methods are compared with each other in terms of complexity and accuracy and the simplest methods with an acceptable level of precision for modelling a specific component in the CCC process are recommended. Furthermore, potential research areas in modeling and simulation of the CCC process are also highlighted.

Keywords: cryogenic carbon capture process; numerical modeling; simulation; equilibrium conditions; energy storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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