TY - JOUR
T1 - A predictive model for self-, Maxwell-Stefan, and Fick diffusion coefficients of binary supercritical water mixtures
AU - Zhao, Xiao
AU - Luo, Tengfei
AU - Jin, Hui
N1 - Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2021/2/15
Y1 - 2021/2/15
N2 - Self-, Maxwell-Stefan, and Fick diffusion coefficients of binary supercritical water mixtures (species 1: H2O, species 2: H2, CH4, CO, O2, CO2) at 673-973 K and 250 atm were calculated by molecular dynamic simulations using mean-squared displacement, Onsager coefficient, and thermodynamic factor. The mole fraction of species 2 is from 1% to up to 30%. The results show that self- and Maxwell-Stefan diffusion coefficients are largely determined by temperature and mole fraction. Despite the small fluctuations, Fick diffusion coefficient can be treated as a constant at certain temperature of a binary mixture regardless of mole fraction. We developed a general predictive model for different types of diffusion coefficients of binary supercritical water mixtures. Shared modification factors for equations are defined in this model. Overall, the average deviation for our predictive model is 4.15%
AB - Self-, Maxwell-Stefan, and Fick diffusion coefficients of binary supercritical water mixtures (species 1: H2O, species 2: H2, CH4, CO, O2, CO2) at 673-973 K and 250 atm were calculated by molecular dynamic simulations using mean-squared displacement, Onsager coefficient, and thermodynamic factor. The mole fraction of species 2 is from 1% to up to 30%. The results show that self- and Maxwell-Stefan diffusion coefficients are largely determined by temperature and mole fraction. Despite the small fluctuations, Fick diffusion coefficient can be treated as a constant at certain temperature of a binary mixture regardless of mole fraction. We developed a general predictive model for different types of diffusion coefficients of binary supercritical water mixtures. Shared modification factors for equations are defined in this model. Overall, the average deviation for our predictive model is 4.15%
KW - Binary mixture
KW - Diffusion coefficient
KW - Molecular dynamics
KW - Predictive model
KW - Supercritical water
UR - https://www.scopus.com/pages/publications/85096098638
U2 - 10.1016/j.molliq.2020.114735
DO - 10.1016/j.molliq.2020.114735
M3 - 文章
AN - SCOPUS:85096098638
SN - 0167-7322
VL - 324
JO - Journal of Molecular Liquids
JF - Journal of Molecular Liquids
M1 - 114735
ER -