scholarly journals The Selection of Geometry and Flow Rate on The Fluidized Bed Reactor for Coating Particle

2019 ◽  
Vol 1198 (2) ◽  
pp. 022079
Author(s):  
R Sukarsono ◽  
S Riyadi ◽  
D Husnurrofiq. Sri Rinanti
Keyword(s):  
Fluidized Bed ◽  
Flow Rate ◽  
Fluidized Bed Reactor ◽  
Selection Of

The Efficiency of Phosphorus Removal of Synthetic Wastewater through Struvite Crystallization in an Aerated Fluidized Bed Reactor

2018 ◽  
Vol 789 ◽  
pp. 59-63
Author(s):  
Susmardi Masti Casoni ◽  
Chandra Wahyu Purnomo ◽  
Muslikhin Hidayat
Keyword(s):  
Fluidized Bed ◽  
Flow Rate ◽  
Phosphorus Removal ◽  
Crystallization Process ◽  
Fluidized Bed Reactor ◽  
Aeration Rate ◽  
Synthetic Wastewater ◽  
Influent Flow ◽  
Mgcl2 Solution ◽  
P Removal

The high organic material contained in wastewater released into the environment asresults of various sources of human activities, such as phosphorus, can cause eutrophication. Thestruvite crystallization in an aerated fluidized bed reactor is one of the methods which able toimprove the efficiency of phosphorus removal. In this study, a mixture of synthetic wastewaters andthe MgCl2 solution was treated in a fluidized bed reactor equipped with aeration to produce thestruvite which can be utilized as a slow release fertilizer. Subsequently, the effect of aeration atdifference influent flow rate was investigated to correlate with the changing of phosphorusconcentration in the reactor effluent. The experiments were conducted for 240 minutes with thevariation of aeration are 0.5 L/min to 1.5 L/min; variation of influent flow rate of syntheticwastewater is 150 ml/min to 350 ml/min, with a constant influent flow rate of MgCl2 solution is 50ml/min. These solutions were maintained at the condition of pH 9. The results showed that theoptimal efficiency of phosphor removal which accounted for 82.5% occurred when the aeration rateof 1.5 L/min in the influent flow rate of 150 ml/min. From these findings, it is revealed that theefficiency of P removal in wastewater is obtained by a crystallization process which utilizing anaerated fluidized bed reactor and by increasing the aeration rate and the reactants contact time.

Biodegradation of MTBE and BTEX in an aerobic fluidized bed reactor

2003 ◽  
Vol 47 (9) ◽  
pp. 123-128 ◽  
Author(s):  
A. Pruden ◽  
M. Sedran ◽  
M. Suidan ◽  
A. Venosa
Keyword(s):  
Fluidized Bed ◽  
Flow Rate ◽  
Denaturing Gradient Gel Electrophoresis ◽  
Oxygen Demand ◽  
Fluidized Bed Reactor ◽  
Methyl Tert Butyl Ether ◽  
Reactor Performance ◽  
Butyl Ether ◽  
Acclimation Period ◽  
Gradient Gel Electrophoresis

An aerobic fluidized bed reactor (FBR) was operated for the removal of methyl tert-butyl ether (MTBE) and benzene, toluene, ethylbenzene, and p-xylene (BTEX) from water. The reactor was seeded with a mixed culture adapted to MTBE. Granular activated carbon (GAC) was used as the biological attachment medium. Influent MTBE to the reactor was 7.8 mg/L MTBE, with a flow rate of 22.7 L/day, and an empty bed contact time of 1 hour. The acclimation period required was relatively short, about 30 days before reaching an average stable effluent concentration of 18.5 ± 10 μg/L. BTEX was introduced to the feed at an equivalent chemical oxygen demand (COD) as the MTBE at day 225 and was biodegraded spontaneously with no apparent acclimation period required. The average influent of each of the four BTEX compounds was about 2 mg/L, and the range of the average effluent concentrations was 1.4-2.2 μg/L. After achieving 180 days of stable performance with BTEX addition, the total flow rate to the reactor was gradually increased by 20% increments to 160% of the original flow (36.4 L/day). Increases by 20% and 40% had no apparent effect on reactor performance, but increase by 60% required 30 days before effluent quality returned to previous values. Composition of the culture was monitored throughout operation of the reactor using denaturing gradient gel electrophoresis (DGGE). The culture consisted of Flavobacteria-Cytophaga and organisms with high similarity to the known MTBE degrader PM1.

scholarly journals Investigation on the Removal of Carbon Dioxide Exhausted from Industrial Units in a Lab-Scale Fluidized Bed Reactor

2020 ◽  
Vol 15 (2) ◽  
pp. 579-590
Author(s):  
Puriya Mohamad Gholy Nejad ◽  
Mohammad Sadegh Hatamipour
Keyword(s):  
Calcium Hydroxide ◽  
Fluidized Bed ◽  
Surface Area ◽  
Removal Efficiency ◽  
Flow Rate ◽  
Co2 Concentration ◽  
Fluidized Bed Reactor ◽  
Solution Flow Rate ◽  
Co2 Removal ◽  
Co2 Removal Efficiency

In this study, CO2 removal efficiency from flue gas was investigated in a fluidized bed reactor under semi-dry conditions. A lab-scale fluidized bed reactor, filled with inert glass beads, was used to investigate the effect of operating parameters on the CO2 removal efficiency using calcium hydroxide slurry as the absorbent. The Taguchi design method was used to design the experiments. The maximum inlet concentration of CO2 was 3 vol%. The most important factors were the reaction surface area, inlet gas velocity, inlet CO2 concentration, absorbent solution flow rate, inlet gas temperature and calcium hydroxide slurry concentration. The experimental results indicated that the CO2 removal efficiency increased when increasing the effective surface area of the reaction. Moreover, the removal efficiency increased by decreasing the input gas flow rate and inlet CO2 concentration. By performing experiments under optimum conditions, the maximum obtained CO2 removal efficiency was 79%. Copyright © 2020 BCREC Group. All rights reserved 

Hybrid fuzzy neural network for diagnosis - application to the anaerobic treatment of wine distillery wastewater in a fluidized bed reactor

1997 ◽  
Vol 36 (6-7) ◽  
pp. 209-217 ◽  
Author(s):  
Jean-Philippe Steyer ◽  
Damien Rolland ◽  
Jean-Claude Bouvier ◽  
René Moletta
Keyword(s):  
Neural Network ◽  
Fuzzy Logic ◽  
Fluidized Bed ◽  
Flow Rate ◽  
Gas Flow ◽  
Hybrid Approach ◽  
Fluidized Bed Reactor ◽  
Anaerobic Treatment ◽  
Distillery Wastewater ◽  
Artificial Neural

In this paper, we present a hybrid approach that uses both fuzzy logic and artificial neural networks for on-line detection and analysis of problems occurring in a 120 liter anaerobic digestion fluidized bed reactor for the treatment of wine distillery wastewater. The raw data available on the process (i.e., pH, temperature, recirculation flow rate, input flow rate and gas flow rate) are preprocessed using fuzzy logic to build a vector of features (i.e., a pattern vector). This feature vector is classified into a prespecified category (i.e., a class) which is a state of the system, according to discrimination fuzzy rules. An artificial neural network is then used to classify the process states and to identify the faulty or dangerous ones. This approach was developed to handle in real time problems such as, for example, foam forming, sudden changes in the effluent to be treated (due to a change in concentration), pipe clogging (due to struvite formation) or bad temperature regulation (due to improper setting of the control parameters).

Selection of Oxidation Catalyst in a Fluidized-Bed Reactor

2017 ◽  
Vol 53 (3-4) ◽  
pp. 235-237
Author(s):  
S. N. Kuzmin ◽  
R. L. Is’emin ◽  
A. V. Mikhalev ◽  
N. N. Balybina ◽  
N. S. Muratova ◽  
...  
Keyword(s):  
Fluidized Bed ◽  
Fluidized Bed Reactor ◽  
Oxidation Catalyst ◽  
Selection Of

scholarly journals Treatment of Industrial Wastewater by using Amberlite XAD-1180 in A Fluidized-Bed Reactor

2019 ◽  
Vol 8 (9S2) ◽  
pp. 574-576
Keyword(s):  
Fluidized Bed ◽  
Flow Rate ◽  
Industrial Wastewater ◽  
Industrial Effluents ◽  
Fluidized Bed Reactor ◽  
Adsorbent Dosage ◽  
Cod Reduction ◽  
Maximum Percentage

The main objective of the work is to reduce COD levels of industrial effluents Using Amberlite XAD-1180 in a fluidization reactor. The experiment runs at the flowrates in the range 2 to 8 LPM. The parameters like flow-rate, time & dosage of XAD have been studied and their effect of COD reduction is analysed, for this experiment COD analysis was done for industrial wastewater which is taken from near by industry. The COD reduction increases with increasing flow rate and adsorbent dosage. The maximum percentage COD reduction is found to be 91.56 %. Maximum adsorption occurs at the flow rate of 8 LPM and with 20 gm of XAD adsorbent

Selection of Type I and Type II methanotrophic proteobacteria in a fluidized bed reactor under non-sterile conditions

2011 ◽  
Vol 102 (21) ◽  
pp. 9919-9926 ◽  
Author(s):  
Andrew R. Pfluger ◽  
Wei-Min Wu ◽  
Allison J. Pieja ◽  
Jonathan Wan ◽  
Katherine H. Rostkowski ◽  
...  
Keyword(s):  
Fluidized Bed ◽  
Fluidized Bed Reactor ◽  
Type I ◽  
Type Ii ◽  
Selection Of

scholarly journals Spiral path three phase fluidized bed reactor for treating wastewater contaminated with engine oil

2020 ◽  
Vol 10 (9) ◽  
Author(s):  
Abeer I. Alwared ◽  
Wisam Sh. Jaber
Keyword(s):  
Fluidized Bed ◽  
Removal Efficiency ◽  
Flow Rate ◽  
Ricinus Communis ◽  
Fluidized Bed Reactor ◽  
Engine Oil ◽  
Synthetic Wastewater ◽  
Oil Emulsion ◽  
Spiral Path ◽  
Three Phase

Abstract In this study, a new type of circulating three-phase fluidized bed reactor was conducted by adding a spiral path and was named as spiral three-phase fluidized bed reactor (TPFB-S) to investigate the possibility for removing engine oil (virgin and waste form) from synthetic wastewater by using Ricinus communis (RC) leaves natural and activated by KOH. The biosorption process was conducted by changing particle diameter in the range 150–300 and 300–600 µm, liquid flow rate in the range 2.5–4.5 L/min and gas flow rate in range of 0–1 L/min, while other parameters initial oil emulsion concentration, pH, adsorbent concentration, agitation speed and contact time were kept constant at 2000 mg/L, 2,400 mg/L, 200 rpm and 90 min, respectively. Both FTIR and SEM tests showed that the Ricinus communis surface contains of active and strong groups; therefore, it shows a morphological characteristic of interest. The tests of FTIR and SEM explained that the adsorbent solid texture consists of negative valences that related to strong and active groups like carboxyl and hydroxyl groups. Furthermore, the results showed that the removal efficiency reaches about 91 and 98% for both virgin and waste oil at 150–300 µm particle size, 3.5 l/min liquid phase flow rate and 1 L/min air flow rate and for 90 min by using natural and activated form of RC leaves, respectively. In addition, results revealed that 95% of oil was recovered from the adsorbent by using 150mL/L of hexane. Finally the results concluded that TPFB-S has a better performance than the traditional fluidized bed, where the removal efficiency was enhanced by about 23% and 17% for removing virgin oil emulsion from aqueous solution by natural and activated form of adsorbent, respectively.

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