Adsorption of CO2 and N2 on Coal-Based Activated Carbon

2011 ◽  
Vol 204-210 ◽  
pp. 1250-1253 ◽  
Author(s):  
Hua Deng ◽  
Hong Hong Yi ◽  
Xiao Long Tang ◽  
Ping Ning ◽  
Qiong Fen Yu

Adsorption equilibrium data for CO2 and N2 on coal-based activated carbon were obtained at 323.15, 348.15, 363.15 K and at partial pressures from 100 Pa to 82425 Pa by a volumetric apparatus. Lower temperature is helpful for the adsorption. It was observed the saturation loadings at 323.15 K are 0.3 mmolg-1, 0.057mmolg-1 for CO2 and N2, respectively. The Langmuir and Sips equations were used to correlate the experimental data. It was found that the Sips equation is more accurate to describe the adsorption behavior of both gases on activated carbon. Henry’s constant was calculated, it proves that activated carbon has a high selectivity on CO2 than N2, the maximum separation index is 5.5.

1992 ◽  
Vol 37 (2) ◽  
pp. 175-179 ◽  
Author(s):  
Irfan Z. Shirgaonkar ◽  
Hemant S. Joglekar ◽  
Vishwas D. Mundale ◽  
Jyeshtharaj B. Joshi

2021 ◽  
Vol 21 (7) ◽  
pp. 4104-4109
Author(s):  
Jong Jib Lee ◽  
Jong Ki Jeon

This study was conducted with a batch reaction to equilibrium isotherm, kinetic and thermodynamic parameters on adsorption of bromocresol purple (BCP), acid red 66 (AR 66) and acid blue 40 (AB 40) from aqueous solution by using activated carbon with nanopores. Freundlich and Temkin isotherm models were used to evaluate the suitability of isotherm for adsorption equilibrium data. The adsorption equilibrium was best fitted by Temkin model. The Freundlich separation factor values indicated that adsorption on the nanoporous activated carbon could effectively treat three dyes. The kinetic analysis of the adsorption process confirmed that it was more consistent with the pseudo second order model. The intraparticle diffusion was rate limiting step. The adsorption process of three dyes were endothermic because they were positive enthalpy values. The free energy values of three dyes decreased with increasing temperature, so that the spontaneity becomes higher with temperature increase. The activation energy value of three dyes were confirmed the physical adsorption.


2012 ◽  
Vol 66 (2) ◽  
pp. 321-327 ◽  
Author(s):  
Jun-tao Liu ◽  
Zheng-ping Dong ◽  
Wen Ding ◽  
Ping Zhao ◽  
Jian Sun ◽  
...  

A new chelating material dialdehyde m-phenylenediamine starch (DASMPA) was synthesized by reacting m-phenylenediamine with dialdehyde starch. The obtained material was characterized by element analysis and Fourier transform infrared (FT-IR) spectra. The FT-IR of DASMPA showed an absorption peak at 1605.95 cm−1 indicating the formation of a Schiff base (C=N). Adsorption activity of DASMPA for Zn2+ was also investigated in terms of contact time, pH, the initial Zn(II) concentration and temperature, the results revealed that pH = 5, t = 1 h were the optimal conditions. With the degree of substitution (DS) of the DASMPA increased, the adsorption capacity increased gradually. The adsorption equilibrium data correlated well with Freundlich isotherm. Moreover, lower temperature was preferable for the process as it was exothermic.


1974 ◽  
Vol 7 (3) ◽  
pp. 158-162 ◽  
Author(s):  
KUNITARO KAWAZOE ◽  
TOSHINAGA KAWAI ◽  
YOSHITOMO EGUCHI ◽  
KIYOSHI ITOGA

2020 ◽  
Vol 10 (4) ◽  
pp. 1311
Author(s):  
Junchao Wang ◽  
Yongjie Wei ◽  
Zhengfei Ma

In the modern industrial separation process, the pressure swing adsorption technology is widely used to separate and purify gases due to its low energy consumption, low cost, convenience, reliability, and environmental benignity. The basic elements of the design and application of the pressure swing adsorption process are adsorption isotherms at different temperatures for adsorbents. The dual-site Langmuir (DSL) adsorption equilibrium model is the mostly used model; however, this model is based on the assumption that the adsorption energy on the surface of an adsorbent is uniform and remains unchanged. Here, a grand canonical Monte Carlo (GCMC) molecular simulation was used to calculate the CO2 adsorption equilibrium on MIL-101 (Cr) at 298 K. MIL-101 (Cr) was chosen, as it has more a general pore structure with three different pores. The calculation results showed that the adsorption energies with different adsorption pressures fitted a normal distribution and the relationship of the average adsorption energies, E with pressures had a linear form described as: E = aP + c. With this relationship, the parameter b = k·exp(E/RT) in the DSL model was modified to b = k·exp((aP + c)/RT), and the modified DSL model (M-DSL) was used to correlate the adsorption equilibrium data on CO2-MIL-101 (Cr), C2H4-HHPAC, CH4-BPL, and CO2-H-Mordenite, showing better correlations than those of the DSL model. We also extended the parameter qm in the M-DSL model with the equation qm = k1 + k2T to adsorption equilibrium data for different temperatures. The obtained model (M-TDSL) was checked with the abovementioned adsorption equilibrium systems. The fitting results also indicated that the M-TDSL model could be used to improve the correlation of adsorption equilibrium data for different temperatures. The linear relationship between the average adsorption energy and adsorption pressure could be further tested in other adsorption equilibrium models to determine its universality.


1988 ◽  
Vol 5 (3) ◽  
pp. 199-212
Author(s):  
Xuanqiang Yu ◽  
Shuguang Deng ◽  
Pingdong Wu

Both fugacity and the Lewis–Randall fugacity rule have been incorporated in the vacancy solution and ideal adsorbed solution theories, and in a simplified statistical thermodynamic model, to allow these various approaches to predict adsorption equilibria at elevated pressures. Adsorption equilibrium data for oxygen and nitrogen determined at 273.15, 293.15 and 313.15 K at pressures up to 60 atm have been compared with the values calculated from these models using regression parameters obtained from adsorption isotherms for the pure components. Of these various models, the vacancy solution theory with the Wilson equation and the ideal adsorbed solution theory provided the closest prediction to the experimental data.


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