Carbonation Kinetics of Potassium Carbonate by Carbon Dioxide

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1 Carbonation Kinetics of Potassium Carbonate by Carbon Dioxide Sang-Wook Park, Deok-Ho Sung, Byoung-Sik Choi, Jae-Wook Lee, and Hidehiro Kumazawa Division of Chemical Engineering, Pusan National University, Busan , Korea Department od Chemical Engineering, Sogang University, Seoul , Korea Department of Chemistry and Biochemical Engineering, Toyama University, Toyama, Japan Received December 28, 2005; Accepted March 28, 2006 Abstract: Potassium carbonate was used as a sorbent to capture CO 2 from a gaseous stream of carbon dioxide, nitrogen, and moisture. The breakthrough data of CO 2 were measured in a fixed bed to observe the reaction kineticsoftheco 2 -carbonate reaction. Several models, such as the shrinking-core model, the homogeneous model, and the deactivation model, in the non-catalytic heterogeneous reaction systems were used to explain the kinetics of the reaction between CO 2, K 2 CO 3, and moisture using analysis of the experimental breakthrough data. A good agreement of the deactivation model was obtained with the experimental breakthrough data. The sorption rate constant and the deactivation rate constant were evaluated through analysis of the experimental breakthrough data using a nonlinear least squares technique and described in the Arrhenius form. Keywords: carbon dioxide, potassium carbonates, breakthrough curve, deactivation model Introduction 1) Carbon dioxide is the major atmospheric contaminant leading to temperature increases caused by the greenhouse effect. Between 1750 and 1998, the concentration of CO 2 in the atmosphere has increased from 280 ppm to almost 380 ppm [1]. Known anthropogenic sources account for 7 billion metric tons per year. The principal anthropogenic source is the combustion of fossil fuels, which accounts for about three-quarters of the total anthropogenic emissions of carbon worldwide [1]. CO 2 emissions will increase correspondingly in the absence of any capture/sequestration strategy. In view that CO 2 is a greenhouse gas with the potential to contribute to global climate warming, existing and improved technologies to mitigate the release of CO 2 to the environment are being considered as a prudent precaution against global warming. Carbon dioxide can be removed from flue gas and waste gas streams produced from carbon usage by various methods: absorption with a solvent, membrane separation, cryogenic fractionation, and adsorption using molecular sieves. In particular, absorption has been widely To whom all correspondence should be addressed. ( swpark@pusan.ac.kr) used in the chemical industries; e.g., the Benfield Process [2]. Capture of CO 2 from each of these processes is costly. Another technique for the removal of CO 2 is dry scrubbing or chemical absorption of CO 2 with an alkaline metal carbonate as a solid sorbent. This approach is a modified hybrid technology of the adsorption and chemical absorption processes, which has an advantage of providing simple and convenient operation for the separation and recovery of CO 2 in flue gases. The development of sorbents, supporters, and regenerable scrubbing processes for CO 2 capture is the focus on the current study, which is based on the following findings: Alkaline metal carbonates was supported on porous materials, such as an alumina gel [3], alumina [4], activated carbon [5-7], silica, and alumina vermiculite [8], improve the sorption efficiency of the carbonate. The carbonation reaction mechanism of alkaline metal carbonate with CO 2 under moist conditions to form alkali metal bicarbonate was verified by the X-ray diffraction method [5-7] and SEM images of the solid surface [5-11]. The stoichiometric coefficient of H 2 O in the carbonation reaction between alkali metal carbonate, CO 2, and moisture depends on the type of carbonate [10], its anhydrate or hydrate, and the kind of alkaline metal (Li, Na, K, Rb or Cs) [5-11]. Most studies of CO 2 capture by alkaline metal car-

2 Carbonation Kinetics of Potassium Carbonate by Carbon Dioxide 523 bonates were carried out in a fixed-bed, but a thermogravimetric analyzer [12,13] was used to obtain an initial rate of carbonation for the reaction kinetics of CO 2 sorption. In mass transfer processes that accompany chemical reactions, the diffusion may have an effect on the reaction kinetics [14]. The simplest and the most commonly used models [15-19] for non-catalytic heterogeneous gas-solid reactions are the shrinking-core model and the homogeneous model with negligible pore diffusion limitations. Also, the deactivation model [20-23] has been used to obtain the reaction kinetics using an analysis of the reactivity of the solid reactant, which may be decreased by changing the reaction circumstances. We believe that it is worthwhile to investigate the reaction kinetics of gas-solid heterogeneous reactions, suchs as the CO 2 -carbonate reaction, from a comparison among these models. The objective of this study was to obtain the chemical kinetics of the gas-solid reaction between CO 2,H 2 O, and K 2 CO 3 using breakthrough data of CO 2 in a fixed bed, comparing the shrinking-core model, the homogeneous model and the deactivation model even though the carbonation mechanism of K 2 CO 3 by CO 2 and moisture [7] is very complicated. Theory Anhydrous potassium carbonate (B) reacts with CO 2 (A) and moisture (W) to form potassium bicarbonate by the following equation (1): K 2 CO 3 (s) + CO 2 (g) + H 2 O(g) 2KHCO 3 (s) (1) The reaction (1) is a non-catalytic heterogeneous gassolid reaction. The mathematical analysis of this heterogeneous process must take into account the simultaneous influence of the reaction and of the heat and mass transfer to predict the conversion as a function of time for the solid undergoing the reaction. To obtain the chemical kinetics of reaction (1) using CO 2 breakthrough data, three kinds of models, the shrinking-core model, the homogeneous model, and the deactivation model, were used as follows: In the shrinking-core model [13], restricted to a nonporous solid with negligible pore diffusion limitations, the rate of movement of the sharp interface between the exhausted outer shell and the unreacted core of the solid can be related to the rate of reaction through a stoichiometric balance on K 2 CO 3 : π ρ (2) R A, the rate of the chemical reaction, which occurs at the interface of the solid, is given as follows: R A =4πr 2 c k 1 C A (3) where k 1 =k s C w and is constant if C w is larger than C A. For this model, the relationship between the conversion and the reaction time is expressed as ρ X B is defined as the reaction conversion of B as follows: When the solid is porous and the rate of diffusion of the reactant gas is rapid, the gas will penetrate everywhere into the solid and the reaction will take place throughout the pellet. In some cases, diffusional gradients may exist inside the pellet, resulting in varying degrees of reaction within it. The homogeneous model [14] takes these effects into account and the reaction rate of B is given as follows: where k 2 =k v C w For this model, the relationship between the conversion and the reaction time is expressed as x B = 1-exp(-k 2 C A t) (7) Breakthrough Analysis for the Shrinking-core Model and the Homogeneous Model In modeling fixed-bed non-catalytic reactors, the continuity equation for the gas phase has to be coupled with the equation for the reaction of single particles. The problem is basically of a transient nature, because the rate of reaction decreases with time owing to the consumption of the solid reactant B. Major contributions to the modeling of fixed-bed non-catalytic systems have been made by many researchers [15-17]. For an isothermal system the model equation for the reaction can be formulated as follows: where r v is the rate of reaction of A per unit volume of the reactor. The rate can be related to the conversion of B using the following equation: (4) (5) (6) (8)

3 524 Sang-Wook Park, Deok-Ho Sung, Byoung-Sik Choi, Jae-Wook Lee, and Hidehiro Kumazawa where dx B /dt is the rate of change of conversion of B for a pellet exposed to a bulk gas-phase concentration of C A. The transient term f bed C A / t is usually negligible [14] compared to other terms in Eq. (8); hence, this equation can be expressed as (9) (10) Using Eq. (4) in the shrinking-core model, Eq. (10) is arranged as follows: where a =,x=,c 1 = ρ, and c 2 = The initial condition in Eq. (11) is ρ (11) a=1atx=0 (12) Eq. (11) is arranged for the whole range of the fixed bed as follows: (13) Using Eq. (7) in the homogeneous model, Eq. (10) is arranged as follows: where c 3 =,c 4 =k 2 C Ao t (14) Eq. (14) is arranged for the whole range of the fixed bed as follows: (15) The dimensionless concentration profiles with respect to the reaction time can be obtained by a combination of Simpson's rule and Runge-Kutta integrations for the shrinking-core model and the homogeneous model from Eqs. (11) and (14), respectively; these concentration profiles are used to obtain the breakthrough data of CO 2 in the fixed bed. Breakthrough Analysis for the Deactivation Model [18] The formation of a dense product layer over the solid reactant creates an additional diffusion resistance and is expected to cause a drop in the reaction rate. One would also expect it to cause significant changes in the pore structure, active surface area, and activity per unit area of the solid reactant with respect to the extent of the reaction. All of these changes cause a decrease of activity of the solid reactant with time. In the deactivation model, the effects of all of these factors on the diminishing rate of CO 2 capture were combined in a deactivation rate term. With assumptions of a pseudo-steady state and a constant concentration of water vapor, the isothermal species conservation equation for the reactant gas CO 2 in the fixed bed is α (16) where k o =kc w. In writing this equation, axial dispersion in the fixed bed and any mass transfer resistances were assumed to be negligible. According to the proposed deactivation model, the rate of change of the activity ( α) of the solid reactant is expressed as α α (17) where k d is the deactivation rate constant. The zeroth solution of the deactivation models is obtained by taking n=0, m=1, and the initial activity of the solid as unity. (18) This solution is equivalent to the breakthrough equation proposed by Suyadal and coworkers [21] and assumes a fluid phase concentration that is independent of deactivation processes along the reactor. More realistically, one would expect the deactivation rate to be concentration-dependent and, accordingly, axial-position-dependent in the fixed bed. To obtain the analytical solution of Eqs. (16) and (17) by taking n=m=1, an iterative procedure was applied. The procedure used here is similar to the procedure proposed by Dogu [22] for the approximate solution of nonlinear equations. In this procedure, the zeroth solution [Eq. (18)] is substituted into Eq. (17), and the first correction for the activity is obtained by integration of this equation. Then, the corrected activity expression is substituted into Eq. (16), and integration of this equation gives the first corrected solution for the breakthrough curve.

4 Carbonation Kinetics of Potassium Carbonate by Carbon Dioxide 525 Figure 1. Schematic flow diagram of a fixed bed apparatus. (19) This iterative procedure can be repeated for further improvement of the solution. In this procedure, higherorder terms in the series solutions of the integrals are neglected. The breakthrough curve for the deactivation model with two parameters (k o and k d )iscalculatedfrom the concentration profiles by Eq. (19). Experimental Apparatus for CO 2 Capture and its Operation In this study, sorption experiments (Figure 1) were carried out in the presence of carbon dioxide and moisture with potassium carbonate sorbent in a fixed bed pyrex glass reactor. Water vapor was fed to the reactor through a line heated using a micro syringe. The flow rates of a gas mixture of carbon dioxide and nitrogen were within the range cm 3 /min (measured at 25 o C); the composition of CO 2 in the gas mixture was 12 % in most of the experiments. The flow rate of water was in the range cm 3 /h. The amount of sorbent was in the range g. Experiments were repeated over a temperature range between 50 and 70 o C. A gas chromatograph (detector: thermal conductivity detector; column: Haysep D (10 feet by 1/8 inch of stainless steel); detector temperature: 190 o C; feed temperature: 160 o C; flow rate of He: 25.7 cm 3 /min; retention times of N 2, CO 2, and H 2 O: 0.9, 1.323, 20.6 min, respectively) connected to the exit stream of the reactor allowed for on-line analysis of CO 2,N 2,andwater. Sorbent particles were supported by glass wool from both sides. The reactor was placed into a tubular furnace equipped with a temperature controller. The length of the fixed sorbent section of the bed was in the range cm of the reactor. Temperature profiles were not observed within this section. All of the flow lines between the reactor and the gas analyzer were heated to eliminate any condensation. Three-way valves placed before and after the reactor allowed for flow of the gas mixture through the bypass line during flow rate adjustments. The composition of the inlet stream was checked by analyzing the stream flowing through the bypass line at the start of the experiments. Physicochemical Properties of Sorbent The size of the sorbent particle was measured using a sieve analyzer; its density was the value provided by the maker. The porosity of the fixed bed was measured by conventional method using a mass cylinder. The values of d p, ρ B,andf bed were µm, 2394 kg/m 3, and 0.475, respectively. Results and Discussion Comparison of the Proposed Models To ensure that the concentration of water vapor was constant for the analysis of three proposed models, the concentrations of CO 2 and water vapor at the inlet of the fixed bed were measured under the experimental conditions mentioned below, and their values were 13.5 and 65.7 %, respectively. Because the concentration of water vapor was much larger than that of CO 2, the concentration of water vapor can be assumed to be constant. To test the agreement of the data with the proposed

5 526 Sang-Wook Park, Deok-Ho Sung, Byoung-Sik Choi, Jae-Wook Lee, and Hidehiro Kumazawa Figure 2. Breakthrough curves of CO 2 in the fixed bed (Q g = cm 3 /min, Q w=2.5 cm 3 /min, y A*=, W f= g; SM= Shrinking-core model, HM=Homogeneous model, DM=Deactivation model). models, i.e., the shrinking-core, homogeneous, and the deactivation modelss, the concentrations of CO 2 at the exit of the fixed bed were measured according to the change of the reaction time under the typical experimental conditions, such as the flow rate of the gaseous mixture of CO 2 and N 2 (250.1 cm 3 /min) the composition of CO 2 in the gaseous mixture (12 %), flow rate of water (2.5 cm 3 /h), weight of sorbent ( g), and sorption temperature (60 o C), from which the breakthrough data of CO 2 were obtained and plotted as circles in Figure 2. The concentration of CO 2 increased upon increasing the reaction time. The breakthrough curve and the reaction rate constant (k 1 ) in the shrinking-core model were estimated by the following procedure: the concentration profile of CO 2 was obtained from the numerical solution of Eq. (11) with the initial condition of Eq. (12) using the fourthorder Runge-Kutta method at a given reaction time; then, k 1 was adjusted such that the integration value of the left side of Eq. (13), using Simpson s rule, may be equal to 1. The adjusted k 1 was m/min and the breakthrough curve was obtained from the concentration profile with respect to the reaction time; it is drawn as a short-dashed line in Figure 2. The procedures to obtain the breakthrough curve and the reaction rate constant (k 2 ) in the homogeneous model were the same as that used in the shrinking-core model, except for Eqs. (14) and (15). The adjusted k 2 was m 3 / kmolmin, and is drawn as a dash-dot line in Figure 2. As shown in Figure 2, the calculated breakthrough curves of CO 2 for the two models did not agree with the Figure 3. TGA thermograms of K 2CO 3, KHCO 3, and the product of the carbonation of K 2CO 3. breakthrough data over the whole range of stream times. It is assumed that the reactivity of the reactant is constant in both the shrinking-core and homogeneous models [14]. But, because the product (KHCO 3 ) has an effect on the reactivity, which is decreased by the formed ash (KHCO 3 ), it may be said that these two models are not proper models for the sorption kinetics of CO 2 on K 2 CO 3. On other hand, the breakthrough curve from Eq. (19) in the deactivation model was evaluated by analysis of the experimental breakthrough data using a nonlinear leastsquares technique with two parameters (k o = m 3 /kgmin; k d = m 3 /kmolmin), and drawn as a solid line in Figure 2. As shown in Figure 2, the regression analysis of the experimental breakthrough data gave a very good agreement with the breakthrough equation Eq. (19), with a regression coefficient of Figure 3 shows TGA thermograms of anhydrous K 2 CO 3, anhydrous KHCO 3, and a product formed during the reaction time of 45 min. There was no weight change for K 2 CO 3, a 36.4 % weight loss for KHCO 3,anda3.2% weight loss for the product. Figure 4(a) shows the surface pattern (SEM) of anhydrous K 2 CO 3, the reactant for all of the experimental runs. A uniform pore structure of small size is observable in the material. Figure 4(b) shows that of anhydrous KHCO 3. The surface pattern is very different from that of the reactant. Figure 4(c) illustrates the product, in which some KHCO 3 was formed, during the reaction time of 45 min. It may be said that the product was formed from K 2 CO 3 and KHCO 3. It may be concluded that the deactivation model with two parameters can be used to analyze the breakthrough data of CO 2 in the fixed bed, because changes in the pore

6 Carbonation Kinetics of Potassium Carbonate by Carbon Dioxide 527 Figure 5. Effect of the flow rate of the N 2 and CO 2 mixture on the breakthrough curves of CO 2 recorded at 60 o CandW f = g. sorbent, and sorption temperature. Figure 4. SEM images of the surfaces of solids (a: K 2CO 3;b: KHCO 3; c: product of the carbonation of K 2CO 3). structure cause significant variations on the carbonation rates and the reactivity of the reactant from the results of Figures 3 and 4. The deactivation model is more useful than either the shrinking-core or homogeneous models for explaining the chemical mechanisms of gas-solid non-catalytic reactions, such as that in a paper regarding the kinetics of char gasification of lignites with CO 2 using a thermogravimetric analyzer, reported by Yasyerli, and coworkers [23]. Kinetics of CO 2 Sorption on K 2 CO 3 To investigate the sorption kinetics of CO 2 on K 2 CO 3 using two parameter deactivation model, the breakthrough curves of CO 2 were measured according to the changes of the experimental variables such as gaseous flow rate of CO 2 and N 2, flow rate of water, weight of Effect of Flow Rate of Gaseous Mixture of CO 2 and N 2 To investigate the effect of the flow rate of the gaseous mixtures of CO 2 and N 2 on the kinetics, the breakthrough curves of CO 2 were measured in the range of gaseous flow rates of CO 2 and N 2 from 200 to 350 cm 3 /min at a mole fraction of CO 2 of in the gaseous mixtures, various flow rates of water, and 60 o C. The gaseous mixtures at the inlet of the column consisted of three components, CO 2, N 2, and water vapor, and the concentrations of CO 2 and water vapor depended on the flow rates of the gaseous mixture of CO 2 and N 2 and the flow rate of water. Because the concentration of water vapor at the inlet of the fixed bed should be constant irrespective of the flow rate of the gaseous mixture of CO 2 and N 2, the flow rates of water fed into the micro syringe were controlled using the mass balance of the three components. The measured values of breakthrough curves of CO 2 were plotted against the reaction time, with parameters of the flow rates of the gaseous mixture of CO 2 and N 2 and of water indicated as various symbols in Figure 5. As shown in Figure 5, a shift of the breakthrough curves to shorter times was observed at greater flow rates of the gaseous mixture with a decrease in sorption capacity. This result means that the reaction conversion decreases as the space time of the gaseous mixtures in the fixed bed, i.e., the reaction time, decreases. Analysis of the experimental breakthrough data using a nonlinear least-squares technique gave a very good agreement with Eq. (19). The evaluated values of k, obtained from k o and C w, and k d are reported in Table 1; calculated curves using Eq. (19) are shown in Figure 5 as

7 528 Sang-Wook Park, Deok-Ho Sung, Byoung-Sik Choi, Jae-Wook Lee, and Hidehiro Kumazawa Table 1. Rate Parameters for Various Experimental Conditions at 60 o C Q g (cm 3 /min) Q w (cm 3 /h) w f (g) y A* (-) c w (M) k o 10 3 (m 3 /kg min) k (m 6 /kmol.kg min) k d (1/min) r 2 (correlation) gaseous mixture of CO 2 and N 2 presented as various symbols. As shown in Figure 6, the sorption capacity of CO 2 increased at a greater flow rate of water. This result means that the reaction conversion increases as the concentration of reactant (water) increases. The values of k and k d were evaluated using the same procedure mentioned above and are listed in Table 1. The calculated curves using Eq. (19) are shown in Figure 6 as solid lines with regression coefficients greater than As shown in Table 1, the values of k and k d are almost the same. Figure 6. Effect of the flow rate of water on the breakthrough curves of CO 2 at 60 o C and W f = g. solid lines with regression coefficients greater than As shown in Table 1, the values of k and k d are almost the same. EffectofFlowRateofWater To determine the effect of the flow rate of water on the kinetics, the breakthrough curves of CO 2 were measured in the range of the flow rates of water from 0.54 to 4.6 cm 3 /h, at given concentrations of CO 2 in the gaseous mixture of CO 2 and N 2 and at 60 o C. The flow rate and CO 2 concentration in the gaseous mixture of CO 2 and N 2 were adjusted according to the change of the flow rate of water in order that the concentration of CO 2 at the inlet of the column was the same as mentioned above. The measured values of the breakthrough curves of CO 2 are plotted against the reaction time in Figure 6 with the parameters of the flow rate and CO 2 concentration of the EffectofAmountofK 2 CO 3 To observe the effect of the amount of sorbent on the kinetics, the breakthrough curves of CO 2 were measured in the range of the K 2 CO 3 mass from to kg at a flow rate and concentration of CO 2 in the gaseous mixture of CO 2 and N 2 of 250 cm 3 /min and mole fraction, respectively, flow rate of water of 2.5 cm 3 /h, and 60 o C. The measured values of the breakthrough curves of CO 2 are plotted against the reaction time in Figure 7 with respect to the amount of water. As shown in Figure 7, the sorption capacity of CO 2 increased with greater amounts of sorbent. This result means that the reaction conversion increases as the concentration of reactant (sorbent) increases. The evaluated values of k and k d are reported in Table 1; curves calculated using Eq. (19) are shown in Figure 7 as solid lines with regression coefficients greater than As shown in Table 1, the values of k and k d are almost the same. Effect of Reaction Temperature To determine the dependence of the reaction parameters on the sorption temperature, the breakthrough curves of CO 2 were measured in the temperature range between 50 and 70 o C at flow rate and concentration of CO 2 in the gaseous mixture of CO 2 and N 2 of 250 cm 3 /min and mole fraction, respectively, a flow rate of water of 2.5 cm 3 /h, and g of sorbent. The values of k o and k d were

8 Carbonation Kinetics of Potassium Carbonate by Carbon Dioxide 529 Figure 7. Effect of the amount of K 2CO 3 on the breakthrough curves of CO 2 at 60 o C(Q g=250 cm 3 /min; Q w=2.5 cm 3 /h). Figure 9. Arrhenius plot of deactivation rate constant (Q g= 250 cm 3 /min; Q w=2.5 cm 3 /h; y A*=; W f = g). (20) (21) Conclusions Figure 8. Arrhenius plot of reaction rate constant (Q g=250 cm 3 /min; Q w=2.5 cm 3 /h; y A * =; W f = g). evaluated from the analysis of the experimental breakthrough data using a nonlinear least-squares technique using the same procedure mentioned above; k was obtained using k o and the initial concentration of moisture. The Arrhenius plots are shown in Figures 8 and 9, respectively. The plots satisfy linear relationships. Using the values of the slopes and intercepts of these straight lines, the following empirical equations were obtained: The breakthrough data of CO 2 were measured in a fixed bed to observe the reaction kinetics of CO 2 sorption among potassium carbonate, carbon dioxide, and moisture under the experimental conditions of a flow rate of the gaseous mixture of cm 3 /min, a flow rate of waterof cm 3 /h, a potassium carbonate mass of kg, and a reaction temperature of o C. Good agreement of the deactivation model was obtained with the experimental breakthrough data in the heterogeneous solid-gas reaction system, with respect to changes in the pore structure and the reactivity of the solid reactant. The sorption rate constant and the deactivation rate constant were evaluated through analysis of the experimental breakthrough data using a nonlinear least-squares technique and were described in the Arrhenius form. Nomenclature C A : concentration of A in bulk phase (kmol/m 3 ) C w : initial concentration of water vapor (kmol/m 3 ) C B : concentration of solid B in bulk phase (kmol/m 3 ) d p : diameter of solid B (m)

9 530 Sang-Wook Park, Deok-Ho Sung, Byoung-Sik Choi, Jae-Wook Lee, and Hidehiro Kumazawa f bed k k o k 1 k 2 k d k v Lz M B r r v R R A Q g t T v x B w z : bed voidage : initial second-order sorption rate constant (m 6 /kmolkgmin) : initial sorption rate constant (m 3 /kgmin) : first-order reaction rate constant (m 4 /kmolmin) : second-order reaction rate constant (m 3 /kmolmin) : deactivation rate constant at n=0 (1/min), or n=1 (m 3 /kmolmin) : reaction rate constant in homogeneous model (m 6 /kmol 2 min) : length of the reaction section (m) : molecular weight of reactant B (kg/kmol) : radius axis of spherical coordinate (m) : reaction rate of A per unit volume of the fixed : bed (kmol/m 3 min) : radius of reactant B (m) : mass transfer rate of species A (kmol/min) : volumetric flow rate of gaseous mixture (m 3 /min) : reaction time (min) : reaction temperature (K) : superficial velocity of gaseous mixtures (m/min) : reaction conversion of solid B : weight of solid B (kg) : axial coordinate in fixed bed (m) Greek Letters α : activity of potassium carbonate ρ B : density of reactant B(kg/m 3 ) Subscripts A :CO 2 B :K 2 CO 3 o : initial value w : moisture Acknowledgments This study was supported by the Basic Research Program of the Korea Science and Engineering Foundation (KOSEF) through ARC. References 1. M. Aresta, Carbon dioxide recovery and utilization, Kluwer Academic Pub., Boston, 53 (2003). 2. a) R. K. Bartoo, Chem.Eng.Prog., 80, 35 (1984); b) S. W. Park, B. S. Choi, and S. S. Kim, J. Ing. Eng. Chem., 12, 199 (2006). 3. U. S. Patent 3,511,595, May 12 (1970). 4. U. S. Patent 3,865,924, February 11 (1975). 5. S. Hirano, N. Shigomoto, S. Yamada, and H. Hayashi, Bull. Chem. Soc. Jpn., 68, 1030 (1995). 6. H. Hayashi, H. Taniuchi, N. Furuyashiki, S. Sugiyama, S. Hirano, N. Shigemoto, and T. Nonaka, Ind. Eng. Chem. Res., 37, 185 (1998). 7. T. Shigemoto, S. Sugiyama, and H. Hayashi, J. Chem.Eng.Jpn, 38, 711 (2005). 8. A. G. Okunev, V. E. Sharnov, Y. I. Aristov, and V. N. Parmon, React. Kinet. Catal. Lett., 71, 355 (2000). 9. M. C. Ball, A. N. Strachan, and R. M. Strachan, J. Chem. Soc. Faraday Trans., 87, 1911 (1991). 10. M. C. Ball, R. A. Clarke, and A. N. Strachan, J. Chem. Soc. Faraday Trans., 87, 3683 (1991). 11. M. C. Ball, C. M. Snelling, A. N. Strachan, and R. M. Strachan, J. Chem. Soc. Faraday Trans., 88, 631 (1992). 12. J. S. Hoffman and H. W. Pennline, J. Energy Environ. Res., 1, 90 (2001). 13. D. A. Green, B. S. Turk, R. P. Gupta, W. J. McMichael, D. P. Harrison, and Y. Liang, Quarterly Technical Progress Report, Louisiana State University, January (2003). 14. L. K. Doraiswamy and M. M. Sharma, Heterogeneous reactions, Vol. 1, John Wiley & Sons, Inc., New York (1984). 15. M. Ishida and C. Y. Wen, AIChE J., 14, 311 (1968). 16. P. A. Ramachandran and B. D. Kulkarni, Ind. Eng. Chem. Res. Process Des. Dev., 19, 717 (1980). 17. J. W. Evans and S. Song, Ind. Eng. Chem. Process Des. Dev., 13, 146 (1974). 18. B. S. Sampath, P. A. Ramachandran, and R. Hughes, Chem. Eng. Sci., 30, 135 (1975). 19. M. G. Ranade and J. W. Evans, Ind. Eng. Chem. Process Des. Dev., 19, 118 (1980). 20. S. Yasyerli, G. Dogu, and I. Ar, Ind. Eng. Chem. Res., 40, 5206 (2001). 21. Y. Suyadal, M. Erol, and M. Oguz, Ind. Eng. Chem. Res., 39, 724 (2000). 22. T. Dogu, AIChE J., 32, 849 (1986). 23. S. Yasyerli, S. T. Dogu, G. Dogu, and I. Ar, Chem. Eng. Sci., 51, 2523 (1996).

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