Development of Predictive Models for Activated Carbon Synthesis from Different Biomass for CO₂ Adsorption Using Artificial Neural Networks

Abstract

Modeling the interactions between CO 2 uptake and different parameters of activated carbon (AC) adsorbent synthesis in biomass types can be a way to create efficient adsorbents for CO 2 capture. In the present work, several AC syntheses experiments, from 35 publications, have been used for the development of operability simulations, based on an artificial neural network (ANN). Four ANN structures were developed by multilayer perceptron (MLP) and radial-based function (RBF) algorithms to predict the specific surface area (BET) of the adsorbents and their CO 2 adsorption capacity. The precursors, activators, pyrolysis temperatures, pour volumes, adsorption pressure, adsorption temperature, BET, and CO 2 adsorption capacity have been considered as input and output variables. The Bayesian Regularization backpropagation algorithm has been chosen for the two hidden layers from the MLP and compared with the RBF algorithms. The number of neurons in the MLP and RBF algorithms was 35 and 45 for BET prediction, and 130 and 240 for CO 2 adsorption capacity prediction, respectively, after an optimization process. MLP and RBF networks with high accuracy have the greatest MSE validation results (R 2 > 0.99). The ANN approach has been found to be a promising tool to accurately predict specific adsorbents of AC biomass types for CO 2 capture.

Adsorption Equilibrium, Thermodynamic, and Kinetic Study of O2/N2/CO2 on Functionalized Granular Activated Carbon

“… 27 Because of its neutral porous carrier ability, GAC may distribute chemicals over its vast hydrophobic interior surface, making it accessible to reactants. 24 , 28 Nowadays, GAC modification research is becoming more popular. GACs have long been known to be effective in capturing CO 2 and other gases.…”

“…24,31,32 Direct biomass carbonization produces carbons with low specific surface areas or even nonporous carbons, which are inefficient for gas capture. 29 On the basis of adsorption experiments, which have been described in recent reviews, after activation treatments with various activators such as KOH, K 2 CO 3 , 33 and others, GACs display high specific surface areas and large pore volumes. 28,34,35 GAC has been used in fixed-bed systems in many water and wastewater treatment plants because of its robust structure and great resistance to attrition and wear.…”

“…One of the most significant characteristics is sorption capacity, which is directly dictated by the pore size distribution and is also highly impacted by surface functionalization . Because of its neutral porous carrier ability, GAC may distribute chemicals over its vast hydrophobic interior surface, making it accessible to reactants. , Nowadays, GAC modification research is becoming more popular. GACs have long been known to be effective in capturing CO 2 and other gases. , Physical and chemical characteristics have been the focus of recent studies. ,, Direct biomass carbonization produces carbons with low specific surface areas or even nonporous carbons, which are inefficient for gas capture …”

“…On the basis of adsorption experiments, which have been described in recent reviews, after activation treatments with various activators such as KOH, K 2 CO 3 , and others, GACs display high specific surface areas and large pore volumes. ,, GAC has been used in fixed-bed systems in many water and wastewater treatment plants because of its robust structure and great resistance to attrition and wear . Furthermore, available commercially GACs have been used more frequently for removal of organics .…”

Green self-activating synthesis system for porous carbons: Celery biomass wastes as a typical case for CO2 uptake with kinetic, equilibrium and thermodynamic studies

“…Owing to its low disposal cost, easy accessibility, thermal stability/conductivity, high specific surface area, insensitivity to moisture, ability to tune porosity, high adsorption, and easy regeneration due to weak interactions, porous carbons have attracted much attention as a promising CO2 adsorbent for large-scale applications [6,16]. The physisorption of CO2 is influenced by intrinsic properties such as acidity-basicity on the carbon surface, hydrophobicity/hydrophilicity of the porous carbons, specific surface area, distribution and order of the porosities, the isosteric heat of adsorption value (Qst), the presence of structural elements such as nitrogen, and the presence of micropores smaller than 1 nm [1,[17][18][19][20][21]. Furthermore, extrinsic parameters such as modifying the surface by heteroatom-doping, increasing pressure, and decreasing temperature play an important role in raising the quantity of adsorption [1,22].…”