Highlighting the Role of Activated Carbon Particle Size on CO2Capture from Model Flue Gas

2013 ◽  
Vol 52 (34) ◽  
pp. 12183-12191 ◽  
Author(s):  
Marco Balsamo ◽  
Francisco Rodríguez-Reinoso ◽  
Fabio Montagnaro ◽  
Amedeo Lancia ◽  
Alessandro Erto
Keyword(s):  
Particle Size ◽  
Activated Carbon ◽  
Flue Gas ◽  
Carbon Particle

Role of SO2for Elemental Mercury Removal from Coal Combustion Flue Gas by Activated Carbon

2008 ◽  
Vol 22 (4) ◽  
pp. 2284-2289 ◽  
Author(s):  
Md. Azhar Uddin ◽  
Toru Yamada ◽  
Ryota Ochiai ◽  
Eiji Sasaoka ◽  
Shengji Wu
Keyword(s):  
Activated Carbon ◽  
Flue Gas ◽  
Coal Combustion ◽  
Elemental Mercury ◽  
Mercury Removal

scholarly journals A Study on Machine Learning Methods’ Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon

Nanomaterials ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2734
Author(s):  
Seyedehmaryam Moosavi ◽  
Otilia Manta ◽  
Yaser A. El-Badry ◽  
Enas E. Hussein ◽  
Zeinhom M. El-Bahy ◽  
...  
Keyword(s):  
Particle Size ◽  
Activated Carbon ◽  
Surface Area ◽  
Pore Volume ◽  
Agricultural Waste ◽  
Dye Adsorption ◽  
Gradient Boosting ◽  
Waste Characteristics ◽  
Real Wastewater

The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, the correlation between variables and their importance was applied. After comprehensive feature selection analysis, five important variables were selected from nine variables. The RF with the highest accuracy (R2 = 0.9) was selected as the best model for prediction of adsorption capacity of agro-waste using the five selected variables. The results suggested that agro-waste characteristics (pore volume, surface area, agro-waste pH, and particle size) accounted for 50.7% contribution for adsorption efficiency. The pore volume and surface area are the most important influencing variables among the agro-waste characteristics, while the role of particle size was inconspicuous. The accurate ability of the developed models’ prediction could significantly reduce experimental screening efforts, such as predicting the dye removal efficiency of agro-waste activated carbon according to agro-waste characteristics. The relative importance of variables could provide a right direction for better treatments of dyes in the real wastewater.

Effect of activated carbon particle size on the thermo-foaming of aqueous sucrose resin and properties of the carbon foams

2014 ◽  
Vol 30 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Rajaram Narasimman ◽  
Sujith Vijayan ◽  
Kuttan Prabhakaran
Keyword(s):  
Particle Size ◽  
Activated Carbon ◽  
Carbon Particle ◽  
Carbon Foams ◽  
Image Position

Abstract

An Investigation of the Distribution of Trihalomethanes Within GAC Contactors

1987 ◽  
Vol 22 (3) ◽  
pp. 412-426
Author(s):  
R.C. Andrews ◽  
P.M. Huck ◽  
L. Gammie
Keyword(s):  
Particle Size ◽  
Drinking Water ◽  
Activated Carbon ◽  
Organic Carbon ◽  
Total Organic Carbon ◽  
Carbon Particle ◽  
Pilot Scale ◽  
Carbon Particles ◽  
Enhanced Adsorption ◽  
Different Sources

Abstract This study examined the loading distribution of trihalomethanes and total organic carbon within pilot scale granular activated carbon (GAC) contactors receiving finished drinking water and operating in the downflow mode. Three carbons originating from different sources were used for this comparison. Observed column loadings were compared to isotherms. As well, loadings were evaluated as a function of carbon particle size. Significantly higher loadings of trihalomethanes were found in the upper 10 cm (7%) of the GAC beds. Enhanced adsorption in this region was correlated with finer size carbon particles. Isotherms successfully predicted full bed depth trihalomethane loadings for two of the carbons but underestimated loadings in the top 10 cm. A replacement of the top 30 cm of the carbon in one of the beds resulted in a noticeable capacity increase for trihalomethanes.

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