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http://dx.doi.org/10.6110/KJACR.2017.29.4.195

Prediction of Transport Properties for Transportation of Captured CO2. 1. Viscosity  

Lee, Won Jun (Department of Mechanical Engineering, Hanbat National University)
Yun, Rin (Department of Mechanical Engineering, Hanbat National University)
Publication Information
Korean Journal of Air-Conditioning and Refrigeration Engineering / v.29, no.4, 2017 , pp. 195-201 More about this Journal
Abstract
In this study, the viscosity of a $CO_2-gas$ mixture was investigated for the transportation of the captured $CO_2-gas$ in pipelines and for the designing of a thermal system, both of which involve the utilization of the $CO_2-gas$ mixture. The viscosities of the $CO_2-gas$ mixture, $CO_2+CH_4$, $CO_2+H_2S$, and $CO_2+N_2$ were predicted using three different models as follows : Chung, TRAPP, and REFPROP. The predictability values of the models were validated by comparing the estimated results with the experiment data for the $CO_2+CH_4$ and $CO_2+N_2$ under high-density conditions. The Chung model showed 2.41%, which is the lowest mean deviation of the prediction among the model. Based on the Chung model, the mixture mole fractions were changed from 0.9, 0.95, and 0.97, the mixture pressure was ranged from 80 bar to 120 bar by 10 bar, and the mixture temperature was varied from 310 K to 400 K by 10 K to observe the effects of the parameters on the mixture viscosity. Considering the high mole fraction of the $CO_2$ in the mixture, a significant variation of the mixture viscosity was observed close to the pseudo-critical temperature, and the viscosity for the $CO_2+H_2S$ mixture shows the highest values compared with those of the $CO_2+CH_4$ and $CO_2+N_2$.
Keywords
Transport properties; Viscosity; $CO_2$ transportation; $CO_2$ thermal system; Prediction model;
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