scholarly journals Adsorption process on fixed bed column in rich organic wastewater treatment experimental studies and numerical simulation

2006 ◽  
Vol 28 (1) ◽  
pp. 28-34
Author(s):  
Nguyen Hong Khanh ◽  
Nguyen Viet Hoang
Keyword(s):  
Kinetic Data ◽  
Flow Model ◽  
Adsorption Process ◽  
Plug Flow ◽  
Fixed Bed ◽  
Experimental Studies ◽  
Textile Wastewater ◽  
Fixed Bed Column ◽  
Solid Diffusion ◽  
Model Isotherm

None axially dispersed plug flow model (NADPF) was applied to simulate adsorption process on fixed bed column. To determine model input parameters and verify the model, isotherm curve, solid diffusion coefficient (\(D_s\)) and breakthrough curve have been determined from experiment. Activated carbon SWW 210&220 was selected as the main adsorbent for research. Wastewater of Minhkhai Textile Company is the sample used in experiment study. According to isotherm function, textile wastewater is poorly adsorbed into SWW210&220. Kinetic data also show that diffusion step of textile wastewater is very slow (DS ~ 1.31*\(10^{-13}\) m\(^2\)/s). With textile wastewater, NADPF model can be used to simulate adsorption process.

Hydrogen Production from Ethanol Steam Reforming: Fixed Bed Reactor Design

2008 ◽  
Vol 6 (1) ◽  
Author(s):  
Pablo Giunta ◽  
Norma Amadeo ◽  
Miguel Laborde
Keyword(s):  
Steam Reforming ◽  
Flow Model ◽  
Multicomponent Mixture ◽  
Plug Flow ◽  
Fixed Bed ◽  
Fixed Bed Reactor ◽  
Ethanol Steam Reforming ◽  
Heterogeneous Model ◽  
Ethanol Steam ◽  
Hydrogen Stream

The aim of this work is to design an ethanol steam reformer to produce a hydrogen stream capable of feeding a 60 kW PEM fuel cell applying the plug flow model, considering the presence of the catalyst bed (heterogeneous model). The Dusty-Gas Model is employed for the catalyst, since it better predicts the fluxes of a multicomponent mixture. Moreover, this model has shown to be computationally more robust than the Fickian Model. A power law-type kinetics was used. Results showed that it is possible to carry out the ethanol steam reforming in a compact device (1.66 x 10 -5 to 5.27 x 10 -5 m3). It was also observed that this process is determined by heat transfer.

scholarly journals Modeling of milk lactose removal by column adsorption using artificial neural networks: MLP and RBF

2019 ◽  
Vol 25 (4) ◽  
pp. 369-382
Author(s):  
Manuela Leite ◽  
Matheus Santos ◽  
Eulina Costa ◽  
Acenini Balieiro ◽  
Álvaro Lima ◽  
...  
Keyword(s):  
Adsorption Process ◽  
Radial Basis Function Network ◽  
Fixed Bed ◽  
Computational Time ◽  
Multilayer Perceptrons ◽  
Neural Models ◽  
Fixed Bed Column ◽  
Column Adsorption ◽  
Ann Models ◽  
Artificial Neural

Artificial neural network (ANN) techniques are effective in modeling nonlinear processes, are simple to implement and require low computational time. In this work, the lactose adsorption process for continuous flow in a fixed-bed column with a molecularly imprinted polymer (MIP) adsorbent was modeled using an ANN technique. The neural models allowed predicting the relative lactose concentration (C/C0) from the interactions between the variables of contact time (min), temperature (?C), granulometry (mesh), bed height (cm) and flow rate (mL min-1). The ANN models were developed in MATLAB using multilayer perceptrons (MLP) and a radial basis function network (RBF). The MLP model was developed using a three-layer feed forward backpropagation network with 5, 8 and 4 neurons in the first, second and third layer, respectively. The function (RBF) network is also proposed and its performance is compared to a traditional network type. The best architecture configuration RBF model was developed using 5, 14 and 1 neurons in the first, second and third layer, respectively. The proposal of development of mathematical models applied to multi-component adsorption system for milk using these approaches is innovative. The resulting breakthrough curve models for lactose adsorption were in good agreement with the experimental results. Performance indices, such as R?, MSE, RMSE, SSE, MAE and RME were used to evaluate the reliabilities and accuracies of the models. A comparison between the ANN models shows the ability to predict the breakthrough curves of lactose removal in the milk adsorption process. Though, the MLP network model shows more accurately a higher correlation coefficient (R2 = 0.9751) and lower values for the obtained error indices. The accuracy of the model is confirmed by the comparison between the predicted and experimental data. The results showed that both neural models efficiently described the non-linear process of lactose adsorption in a fixed-bed column.

scholarly journals FIXED-BED ADSORPTION OF AQUEOUS VANILLIN ONTO RESIN H103

2017 ◽  
Vol 18 (2) ◽  
pp. 94-104
Author(s):  
Rozaimi Abu Samah
Keyword(s):  
Aqueous Solution ◽  
Flow Rate ◽  
Adsorption Process ◽  
Fixed Bed ◽  
Maximum Adsorption Capacity ◽  
Feed Flow Rate ◽  
Fixed Bed Column ◽  
Initial Concentration ◽  
Bed Height ◽  
Fixed Bed Adsorption

The main objective of this work was to design and model fixed bed adsorption column for the adsorption of vanillin from aqueous solution. Three parameters were evaluated for identifying the performance of vanillin adsorption in fixed-bed mode, which were bed height, vanillin initial concentration, and feed flow rate. The maximum adsorption capacity was increased more than threefold to 314.96 mg vanillin/g resin when the bed height was increased from 5 cm to 15 cm. Bohart-Adams model and Belter equation were used for designing fixed-bed column and predicting the performance of the adsorption process. A high value of determination coefficient (R2) of 0.9672 was obtained for the modelling of vanillin adsorption onto resin H103.

scholarly journals Dynamic studies of nitrophenols sorption on perfil in a fixed-bed column

2008 ◽  
Vol 27 (2) ◽  
pp. 123 ◽  
Author(s):  
Zvezdelina Yaneva ◽  
Mirko Marinkovski ◽  
Liljana Markovska ◽  
Vera Meshko ◽  
Bogdana Koumanova
Keyword(s):  
Mass Transfer ◽  
Diffusion Coefficient ◽  
Transfer Coefficient ◽  
Mass Transfer Coefficient ◽  
Dispersion Coefficient ◽  
Fixed Bed ◽  
External Mass Transfer ◽  
Fixed Bed Column ◽  
Axial Dispersion Coefficient ◽  
Solid Diffusion

The adsorption of two substituted nitrophenols, namely 4-nitrophenol (4-NP) and 2,4-dinitrophenol (2,4-DNP), from aqueous solutions onto perfil was studied using a fixed bed column. The theoretical solid diffusion control (SDC) model describing single solute adsorption in a fixed bed based on the Linear Driving Force (LDF) kinetic model was successfully applied to the investigated systems. The model parameters of solid diffusion coefficient, DS, axial dispersion coefficient, DL, and external mass transfer coefficient, kf, for the investigated systems were estimated by the means of a best fit approach. Some deviations were found between the predicted and the experimental data which reflect the fact that the assumptions of the model were not quite fulfilled for these experiments. It is necessary to adjust the values of the solid diffusion coefficient, the axial dispersion coefficient and the external mass transfer coefficient in order to obtain a satisfactory agreement between the simulated and the experimental breakthrough curves. A Biot number was used as an indicator for the intarparticle diffusion. The Biot number was found to decrease with the increase of bed depth, indicating that the film resistance increased or the intraparticle diffusion resistance decreased.

scholarly journals Fixed - bed Column Adsorption Studies Using Synthetic Hydroxyapatite for Pb(II) Removal from Aqueous Solutions

2019 ◽  
Vol 70 (5) ◽  
pp. 1758-1764
Author(s):  
Claudia Maria Simonescu ◽  
Iuliana-Raluca Tanase ◽  
Irina Nicoleta Purcaru ◽  
Christu Tardei ◽  
Virgil Marinescu
Keyword(s):  
Aqueous Solutions ◽  
Fixed Bed ◽  
Experimental Studies ◽  
Design Parameters ◽  
Fixed Bed Column ◽  
Column Adsorption ◽  
Porous Beads ◽  
Synthetic Hydroxyapatite ◽  
Column Design ◽  
Critical Bed Depth

In the present paper, the adsorptive Pb(II) removal from synthetic aqueous solutions using a 2 cm diameter hydroxyapatite column has been studied through column adsorption experiments by varying column depths (1, 2, 3, 4 cm) and flow rate (10, 15, 22.5 mL/min). Different types of synthetic hydroxiapatites have been involved in experiments. Column design parameters such as critical bed depth and adsorption capacity have been determined from experimental studies. The results revealed the effectiveness of synthetic hydroxyapatite porous beads in Pb(II) removal from aqueous synthetic solutions.

Removal of arsenic(III) from water by magnetic binary oxide particles (MBOP): Experimental studies on fixed bed column

2017 ◽  
Vol 322 ◽  
pp. 469-478 ◽  
Author(s):  
Rajesh M. Dhoble ◽  
Pratap Reddy Maddigapu ◽  
Sadhana S. Rayalu ◽  
A.G. Bhole ◽  
Ashwinkumar S. Dhoble ◽  
...  
Keyword(s):  
Fixed Bed ◽  
Experimental Studies ◽  
Binary Oxide ◽  
Fixed Bed Column ◽  
Oxide Particles ◽  
Removal Of Arsenic
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