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

被引:16
作者
Asgharian, Hossein [1 ]
Iov, Florin [1 ]
Araya, Samuel Simon [1 ]
Pedersen, Thomas Helmer [1 ]
Nielsen, Mads Pagh [1 ]
Baniasadi, Ehsan [2 ]
Liso, Vincenzo [1 ]
机构
[1] Aalborg Univ, Dept AAU Energy, Pontoppidanstraede 111, DK-9220 Aalborg, Denmark
[2] Univ Isfahan, Fac Engn, Dept Mech Engn, Hezar Jerib Ave, Esfahan 8174673441, Iran
关键词
cryogenic carbon capture process; numerical modeling; simulation; equilibrium conditions; energy storage; PENG-ROBINSON EQUATION; NATURAL-GAS LIQUEFACTION; FIRED POWER-PLANT; ES ENERGY-STORAGE; CO2; CAPTURE; OF-STATE; BOIL-OFF; NUMERICAL-SIMULATION; OXYFUEL COMBUSTION; SCROLL COMPRESSORS;
D O I
10.3390/en16041855
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The cryogenic carbon capture (CCC) process is a promising post-combustion CO2 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.
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页数:35
相关论文
共 100 条
[1]   CALCULATION OF VAPOR-LIQUID-EQUILIBRIUM DATA FOR BINARY CHLOROFLUOROCARBON MIXTURES USING THE PENG-ROBINSON EQUATION OF STATE [J].
ABUEISHAH, SI .
FLUID PHASE EQUILIBRIA, 1991, 62 (1-2) :41-52
[2]  
Adom E, 2010, Modelling of Boil-Off Gas in LNG Tanks: A Case Study, V2, P292
[3]  
Agrawal G.M., 1995, ADV CRYOGEN ENG, P327
[4]   Advanced boil-off gas studies for liquefied natural gas [J].
Al Ghafri, Saif Z. S. ;
Perez, Fernando ;
Park, Ki Heum ;
Gallagher, Liam ;
Warr, Liam ;
Stroda, Aaron ;
Siahvashi, Arman ;
Ryu, Yonghee ;
Kim, Sungwoo ;
Kim, Sung Gyu ;
Seo, Yutaek ;
Johns, Michael L. ;
May, Eric F. .
APPLIED THERMAL ENGINEERING, 2021, 189
[5]   Application of artificial neural networks (ANN) for vapor-liquid-solid equilibrium prediction for CH4-CO2 binary mixture [J].
Ali, Abulhassan ;
Abdulrahman, Aymn ;
Garg, Sahil ;
Maqsood, Khuram ;
Murshid, Ghulam .
GREENHOUSE GASES-SCIENCE AND TECHNOLOGY, 2019, 9 (01) :67-78
[6]   CFD modeling of flow and heat transfer in a thermosyphon [J].
Alizadehdakhel, Asghar ;
Rahimi, Masoud ;
Alsairafi, Ammar Abdulaziz .
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2010, 37 (03) :312-318
[7]   Optimized process configurations of post-combustion CO2 capture for natural-gas-fired power plant - Power plant efficiency analysis [J].
Amrollahi, Zeinab ;
Ystad, Paul Andreas Marchioro ;
Ertesvag, Ivar S. ;
Bolland, Olav .
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2012, 8 :1-11
[8]  
[Anonymous], 2016, ASP PLUS BURL
[9]  
Baxter L.L., 2009, 26 ANN INT PITTSBURG
[10]  
Baxter L, 2021, SSRN Electronic Journal, DOI [10.2139/ssrn.3819906, 10.2139/ssrn.3819906, DOI 10.2139/SSRN.3819906]