Theory of diffusion through, and sorption in, a biporous sorbent membrane with a constant difference in concentration at the membrane faces and linear sorption isotherm 3. Sorption in the transport pore system

Author(s):  
S. N. Efremov ◽  
P. P. Zolotarev
1998 ◽  
Vol 120 (3) ◽  
pp. 699-708 ◽  
Author(s):  
C. J. Simonson ◽  
R. W. Besant

A numerical model for coupled heat and moisture transfer with sorption, condensation, and frosting in rotary energy exchangers is presented and validated with experimental data. The model is used to study condensation and frosting in energy wheels. Condensation/frosting increases with humidity and at some humidity level, water/frost will continually accumulate in the wheel. The sensitivity of condensation and frosting to wheel speed and desiccant type are studied. The energy wheel performance is also presented during both sorption and saturation conditions for a desicant coating with a Type I sorption isotherm (e.g., molecular sieve) and a linear sorption isotherm (e.g., silica gel). Simulation results show that the desiccant with a linear sorption curve is favorable for energy recovery because it has better performance characteristics and smaller amounts of condensation/frosting for extreme operating conditions.


2010 ◽  
Vol 98 (6) ◽  
Author(s):  
S. Palágyi ◽  
Karel Stamberg

AbstractA simple method for fitting the values of the experimental breakthrough curves in the form of pulse response obtained in dynamic flow column experiments is presented. It is based on the equation obtained by the analytical solution of a 1-D advection-dispersion equation (ADE) under defined conditions (equilibrium dynamics, linear sorption isotherm, constant bed height, pulse input), where the concentration (or activity) dependence on the number of pore volumes is expressed explicitly. It is shown that the method can be used in the case of validity of a non-linear Freundlich sorption isotherm if the experimental data are fitted by means of a Newton-Raphson multidimensional non-linear regression procedure in which the regression function consists of the above mentioned ADE equation and of the equation for a retardation coefficient including the first derivative of the Freundlich equation. Values of four parameters, namely, Freundlich equation parameters (


1979 ◽  
Vol 36 (3) ◽  
pp. 353-357
Author(s):  
P. P. Zolotarev ◽  
V. M. Starov ◽  
I. A. Yabko

Sign in / Sign up

Export Citation Format

Share Document