Simulation of hybrid trickle bed reactor–reverse osmosis process for the removal of phenol from wastewater

Al‐Obaidi, Mudhar A.; Jarullah, Aysar T.; Kara-Zaïtri, Chakib; Mujtaba, Iqbal M.

doi:10.1016/j.compchemeng.2018.03.016

Cited by 14 publications

(4 citation statements)

References 32 publications

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“…In certain works, the other approaches, which cannot be related to the described above groups, were applied. Those models can be based on the empirical data (both with and without combination with conventional models) [329][330][331][332][333][334][335][336], the mass and energy balances [337][338][339][340][341], the Monte-Carlo method [342][343][344], the concentration polarization models [345][346][347] and osmotic pressure [348], the boundary layer theory [349], the dynamic modeling [350], the materials flow analysis [351], the risk and fault analysis [352][353], the numerical methods [354], the chemical kinetics and equilibrium [355], or its combinations [356]. However, such investigations were low numerous and it does not seem possible to define some of them as perspectives.…”

Section: Discussionmentioning

confidence: 99%

Simulation of Reverse Osmosis Process: Novel Approaches and Development Trends

Huliienko

Korniyenko

Muzyka

et al. 2022

JES

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Reverse osmosis is an essential technological separation process that has a large number of practical applications. The mathematical simulation is significant for designing and determining the most effective modes of membrane equipment operation and for a deep understanding of the processes in membrane units. This paper is an attempt at systematization and generalizing the results of the investigations dedicated to reverse osmosis simulation, which was published from 2011 to 2020. The main approaches to simulation were analyzed, and the scope of use of each of them was delineated. It was defined that computational fluid dynamics was the most used technique for reverse osmosis simulation; the intensive increase in using of molecular dynamics methods was pointed out. Since these two approaches provide the deepest insight into processes, it is likely that they will further be widely used for reverse osmosis simulations. At the same time, for the simulation of the membrane plant, it is reasonable to use the models that required the simplest solutions methods. The solution-diffusion model appears to be the most effective and flexible for these purposes. Therefore, this model was widely used in considering the period. The practical problems solved using each of the considered approaches were reviewed. Moreover, the software used for the solution of the mathematical models was regarded.

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Section: Discussionmentioning

confidence: 99%

Simulation of Reverse Osmosis Process: Novel Approaches and Development Trends

Huliienko

Korniyenko

Muzyka

et al. 2022

JES

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“…Mathematical modeling for the catalytic phenol oxidation process was applied by utilizing the gPROMS Version 7.1 (General Process Modeling System) program [14,15]. The equations provided in the mathematical modeling are listed in Table 4 [26][27][28][29][30][31][32][33][34][35][36][37][38][39].…”

Section: Mathematical Model Of Dbbbr For Catalytic Phenol Oxidation P...mentioning

confidence: 99%

Design of Nano-Catalyst for Removal of Phenolic Compounds from Wastewater by Oxidation Using Modified Digital Basket Baffle Batch Reactor: Experiments and Modeling

et al. 2023

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Removal of phenol and phenolic compounds from wastewater using various techniques has received considerable attention in recent years. In this work, the removal of phenol from a model solution of phenol via catalytic oxidation is investigated with oxidant H2O2. For this purpose, we designed a new nano-catalyst (8% Fe2O3/AC) by loading iron oxide nanoparticles over nano-activated carbon via the impregnation process. We modified the recently developed digital basket baffle batch reactor (DBBBR) and used it for the catalytic oxidation process in order to examine the activity of the prepared nano-catalyst. The highest efficiency of phenol removal was found to be 95.35% under the following parameters: oxidation time of 120 min, oxidation temperature at 85 °C, and stirrer speed of 600 rpm. The minimization of the sum of the squared error between the experimental data and predicted results of phenol removal was considered as a base for the optimization technique to estimate the optimal parameters for the kinetic process. The predicted conversion of phenol excellently agreed with the experimental results (absolute average errors < 5%) for a wide range of process parameters.

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“…Dimethylphenol contains a stable benzene ring, which increases its resistance to biological decomposition and therefore lingers in the environment for a long period of time [ 4 ]. Moreover, the hydrophobicity property of phenolic compounds yields the formation of toxicological organic and free radical species, which are very harmful [ 5 ]. Several health agencies rate phenol and phenol derivatives as toxic compounds (even at low concentrations).…”

Section: Introductionmentioning

confidence: 99%

Model Based Simulation and Genetic Algorithm Based Optimisation of Spiral Wound Membrane RO Process for Improved Dimethylphenol Rejection from Wastewater

et al. 2021

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Reverse Osmosis (RO) has already proved its worth as an efficient treatment method in chemical and environmental engineering applications. Various successful RO attempts for the rejection of organic and highly toxic pollutants from wastewater can be found in the literature over the last decade. Dimethylphenol is classified as a high-toxic organic compound found ubiquitously in wastewater. It poses a real threat to humans and the environment even at low concentration. In this paper, a model based framework was developed for the simulation and optimisation of RO process for the removal of dimethylphenol from wastewater. We incorporated our earlier developed and validated process model into the Species Conserving Genetic Algorithm (SCGA) based optimisation framework to optimise the design and operational parameters of the process. To provide a deeper insight of the process to the readers, the influences of membrane design parameters on dimethylphenol rejection, water recovery rate and the level of specific energy consumption of the process for two different sets of operating conditions are presented first which were achieved via simulation. The membrane parameters taken into consideration include membrane length, width and feed channel height. Finally, a multi-objective function is presented to optimise the membrane design parameters, dimethylphenol rejection and required energy consumption. Simulation results affirmed insignificant and significant impacts of membrane length and width on dimethylphenol rejection and specific energy consumption, respectively. However, these performance indicators are negatively influenced due to increasing the feed channel height. On the other hand, optimisation results generated an optimum removal of dimethylphenol at reduced specific energy consumption for a wide sets of inlet conditions. More importantly, the dimethylphenol rejection increased by around 2.51% to 98.72% compared to ordinary RO module measurements with a saving of around 20.6% of specific energy consumption.

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Simulation of hybrid trickle bed reactor–reverse osmosis process for the removal of phenol from wastewater

Cited by 14 publications

References 32 publications

Simulation of Reverse Osmosis Process: Novel Approaches and Development Trends

Simulation of Reverse Osmosis Process: Novel Approaches and Development Trends

Design of Nano-Catalyst for Removal of Phenolic Compounds from Wastewater by Oxidation Using Modified Digital Basket Baffle Batch Reactor: Experiments and Modeling

Model Based Simulation and Genetic Algorithm Based Optimisation of Spiral Wound Membrane RO Process for Improved Dimethylphenol Rejection from Wastewater

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