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Application of the compartmental model to the gas–liquid precipitation of CO 2 ‐Ca(OH) 2 aqueous system in a stirred tank
Author(s) -
Zhao Wenli,
Buffo Antonio,
Alopaeus Ville,
Han Bing,
LouhiKultanen Marjatta
Publication year - 2017
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.15567
Subject(s) - mass transfer , turbulence , impeller , chemistry , mass transfer coefficient , particle (ecology) , aqueous solution , precipitation , computational fluid dynamics , continuous stirred tank reactor , scaling , volumetric flow rate , analytical chemistry (journal) , thermodynamics , chromatography , meteorology , physics , oceanography , geometry , mathematics , geology
A compartmental model is formulated to assess the influence of fluid dynamics on the gas–liquid precipitation of CO 2 (g)‐Ca(OH) 2 (aq) system in a stirred tank reactor. The model combines the description of the flow field with several sub‐models, namely gas to liquid mass transfer, chemical reaction, precipitation, and population balance for both gas bubbles and solid crystals. The modeling predictions, including the average volumetric mass transfer coefficient, the concentration of calcium ions, the pH of the solution and the Sauter mean diameter of the final crystal products are eventually compared with measurements carried out on a pilot‐scale stirred tank. The results show that the local volumetric mass transfer rate and the final particle sizes distribution of the crystals are significantly affected by high local turbulence near the impeller. The local information simulated by the compartmental model, such as mass transfer rate, gas hold up and particle size of crystals and bubbles are important for the design and scaling of gas–liquid precipitators, with a computational time which is of several orders of magnitude faster than a full CFD computation. © 2016 American Institute of Chemical Engineers AIChE J , 63: 378–386, 2017