2005
DOI: 10.1016/j.jcis.2005.07.043
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Heterogeneous Do–Do model of water adsorption on carbons

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Cited by 44 publications
(39 citation statements)
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“…Furmaniak et al proposed a "Heterogeneous Do-Do Model" that accounts for different energies of adsorption at different functional sites (Furmaniak et al 2005). However, without prior knowledge of the nature of functional sites on the material, one must make guesses as to the number and properties of the sites the material may have.…”
Section: Do and Do Type Formulasmentioning
confidence: 99%
“…Furmaniak et al proposed a "Heterogeneous Do-Do Model" that accounts for different energies of adsorption at different functional sites (Furmaniak et al 2005). However, without prior knowledge of the nature of functional sites on the material, one must make guesses as to the number and properties of the sites the material may have.…”
Section: Do and Do Type Formulasmentioning
confidence: 99%
“…3). We showed previously that this effect can be achieved if one takes into account the differences in the energy of water adsorption on surface-active centers [14,15]. In the case of data measured on carbon D the Langmuirian part of the isotherm is strongly pronounced; thus the value of the parameter A 4 is high.…”
Section: Parameter Amentioning
confidence: 94%
“…3 present the results obtained from such a simultaneous fitting. The adsorption isotherm and related enthalpy relationships were fitted to experimental data by applying the minimization procedure using the differential evolution (DE) algorithm proposed by Storn and Price [12,13], and described in detail recently [15]. It should be pointed out that the difference between values of the two sets of fitted parameters is insignificant.…”
Section: Parameter Amentioning
confidence: 99%
“…3 shows the results of the fitting of both proposed models (NT-BET, solid lines, and NT-PFG, dashed ones) to their data for selected pore diameters (H = 2, 5, and 8 nm). We fitted the data applying the genetic algorithm constructed by Storn and Price [24,25] and previously applied by us with great success [26,27]. The results for the NT-PFG model are shown in Table 1 and it is seen that we obtained determination coefficient (DC) values in the range 0.940-0.997.…”
Section: Fitting the Proposed Models To Simulated Datamentioning
confidence: 99%