Journal articles: 'Adsorption Process Modelling'

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Dziubek, Andrzej M., and Apolinary L. Kowal. "Modelling of the Coagulation–Adsorption Process in Treatment Systems." Water Science and Technology 17, no. 6-7 (June 1, 1985): 1113–20. http://dx.doi.org/10.2166/wst.1985.0206.

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Removal of organics in water or wastewater treatment systems is often described mathematically in the form of Langmuir and Freundlich adsorption isotherms. Using these equations, it is convenient to model, e.g., the removal of organic matter in the adsorption process on an activated carbon bed. In chemical treatment processes, organic substances are frequently removed from the water or wastewater under treatment via an adsorption on the precipitation products. In this paper presented is a generalized model of the equation of a multilayer adsorption isotherm, which describes TOC removal from a solution during chemical treatment in an alkaline medium. The model also includes the nonremovable concentration of organics.

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Kaczmarski, Krzysztof, Mateusz Przywara, and Ewa Lorenc-Grabowska. "Advanced modelling of adsorption process on activated carbon." Chemical Engineering Research and Design 181 (May 2022): 27–40. http://dx.doi.org/10.1016/j.cherd.2022.03.004.

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Ching, C. B., K. Hidajat, C. Ho, and D. M. Ruthven. "Modelling of a simulated counter-current adsorption process." Reactive Polymers, Ion Exchangers, Sorbents 6, no. 1 (June 1987): 15–20. http://dx.doi.org/10.1016/0167-6989(87)90203-0.

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Aittomäki, A., and M. Härkönen. "Modelling of zeolite/methanol adsorption heat pump process." Heat Recovery Systems and CHP 8, no. 5 (January 1988): 475–82. http://dx.doi.org/10.1016/0890-4332(88)90053-1.

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Plaza, M. G., I. Durán, F. Rubiera, and C. Pevida. "Adsorption-based Process Modelling for Post-combustion CO2 Capture." Energy Procedia 114 (July 2017): 2353–61. http://dx.doi.org/10.1016/j.egypro.2017.03.1365.

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A. Gadooa, Zainab, and Mohammed N. Abbas. "REVIEW: MATHEMATICAL MODELLING OF HEAVY METALS REMOVAL FROM PETROLEUM REFINERY WASTEWATER." Journal of Engineering and Sustainable Development 25, Special (September 20, 2021): 3–31. http://dx.doi.org/10.31272/jeasd.conf.2.3.3.

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Adsorption is a commonly used procedure in environmental applications in the chemical industry. In comparison proposed mathematical models to explain batch adsorption as it relates to isotherms and kinetics, fixed-bed or column adsorption has a dearth of models to describe and forecast. While the latter is the most common alternative in practice. The current analysis begins with a brief overview of basic concepts and mathematical models used to characterize batch adsorption's mass transfer and isotherm behavior, which dominates Natural adsorption behavior in columns. Following that, the commonly used models for predicting the breakthrough curve, such as the Clark, Thomas, Adams-Bohart, and Yoon-Nelson models, are fleetingly discussed from a mathematical and process perspective. Their fundamental characteristics are also discussed, including their benefits and intrinsic flaws. This analysis can aid those who are involved in adsorption in columns in selecting or developing a correct and realistic model for their research and applications.

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Vetter, Florian Lukas, and Jochen Strube. "Need for a Next Generation of Chromatography Models—Academic Demands for Thermodynamic Consistency and Industrial Requirements in Everyday Project Work." Processes 10, no. 4 (April 7, 2022): 715. http://dx.doi.org/10.3390/pr10040715.

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Process chromatography modelling for process development, design, and optimization as well as process control has been under development for decades. Still, the discussion of scientific potential and industrial applications needs is open to innovation. The discussion of next-generation modelling approaches starting from Langmuirian to steric mass action and multilayer or thermodynamic consistent real and ideal adsorption theory or colloidal particle adsorption approaches is continued.

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Hrebeniuk, T. V., A. O. Dychko, and V. O. Bronytskyi. "Modelling of process of adsorption at wastewater treatment from phenol." Ecological Sciences 1, no. 2 (2019): 5–7. http://dx.doi.org/10.32846/2306-9716-2019-1-24-2-1.

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Carmo Coimbra, Maria do, Carlos Sereno, and Alı́rio Rodrigues. "Modelling multicomponent adsorption process by a moving finite element method." Journal of Computational and Applied Mathematics 115, no. 1-2 (March 2000): 169–79. http://dx.doi.org/10.1016/s0377-0427(99)00171-5.

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Mendes, Elton, Elidio Angioletto, Erlon Mendes, Raquel Ternus, Kelly Regina Betiatto, Riss Heloisa, Karine Testa, Raquel Piletti, Humberto Gracher Riella, and Márcio Antônio Fiori. "Kinetics Modelling of the Adsorption Process of Zinc Ions by Glass Microparticles." Materials Science Forum 930 (September 2018): 556–61. http://dx.doi.org/10.4028/www.scientific.net/msf.930.556.

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The oligodynamic property is a lethal effect which some atoms exert over bacteria, fungi and other microorganisms. The oligodynamic property can be promoted by glass microparticles doped by zinc ionic specimens utilizing the ionic exchange processes. This study is aimed at modelling the behavior of adsorption mechanisms of the zinc ions on glass microparticles absorbent, with potential use as antimicrobial material. Aqueous solutions of zinc nitrate were used as the ionic supplying of zinc ions. The amount of zinc adsorbed on the glass was determined by spectroscopy of atomic absorption and with a mass balance analysis for each adsorption conditions. The experimental data were modeled by three Eq.s employed in adsorption kinetics studies: pseudo first order, pseudo second order and Elovich Eq.. The pseudo second order data model presented the better adjust condition. A sample of zinc glass microparticles, prepared at the finest conditions established by the kinetic model of pseudo second order, was submitted to microbiological analysis: agar diffusion test with Pseudomonas aeruginosa and Staphylococcus aureus and with Candida albicans. The glass doped with ionic zinc inhibited the growth of microorganisms in every conducted analysis.

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Fettig, J., and H. Liebe. "Modelling GAC adsorption of biologically pre-treated process water from hydrothermal carbonization." Water Science and Technology 72, no. 1 (April 27, 2015): 77–83. http://dx.doi.org/10.2166/wst.2015.192.

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Abstract Granular-activated carbon (GAC) adsorption of biologically pre-treated process waters from hydrothermal carbonization (HTC) of different materials was investigated. Overall, isotherms showed that most of the dissolved organic substances are strongly adsorbable while the non-adsorbable fractions are small. The equilibrium data were modelled by using five fictive components to represent the organic matter. Mean film transfer coefficients and mean intraparticle diffusivities were derived from short-column and batch kinetic test data, respectively. Breakthrough curves in GAC columns could be predicted satisfactorily by applying the film-homogeneous diffusion model and using the equilibrium and kinetic parameters determined from batch tests. Thus, the approach is suited to model GAC adsorption of HTC process water under technical-scale conditions.

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Bragea, Mihaela, Delia Perju, Gheorghita Jinescu, Laszlo Toro, and Carmen Cristache. "Experimental Modelling of the Radionuclides Diffusion Process in Uranifer Tailing Dum." Revista de Chimie 59, no. 1 (February 9, 2008): 74–78. http://dx.doi.org/10.37358/rc.08.1.1711.

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Generally, the uranifer tailings dump are not protected. During the time appear chemical and physical modifications which favour spreading of the radioactive contaminant into the environment, because of the waters provided from precipitations with pH variation (acid rainfall, snow), solar radiance, variation of temperature and humidity, interaction of different minerals from the waste rock with infiltration water during the flow, leading to precipitations phenomenon, ionic exchange, adsorption and re-dissolving [2]. As a rule, the speed of radionuclides diffusion from radioactive tailings dump depends on each of these factors and is very specific to the hydro and geochemistry of the nearest rocks [7]. Because of that, the scientific research is very difficult and will obliges us to study through the simplified physical systems but maintaining the important parameters which are influencing the diffusion process of the contaminant in the environment. The main objective of this paper is to characterize hydro and geochemistry properties controlling the migration of radionuclides extracted from tailings dump into the environment, including the processes of sorption and adsorption and neglecting other physical processes as precipitation, ion exchange or some other geochemical interactions within the system. For this purpose we made studies on 226Ra and Unat extraction from uranifer tailings dump analyzed in pure water in dynamic system, studies about the influence of clay presence on speed of diffusion process in sorption and adsorption phenomenon. Finally we made a prediction for long term about variation of concentrations of 226Ra and Unat based on experimental data using some software programs from literature [8].

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Zhang, Runye, Yuanhui Shen, Zhongli Tang, Wenbin Li, and Donghui Zhang. "A Review of Numerical Research on the Pressure Swing Adsorption Process." Processes 10, no. 5 (April 20, 2022): 812. http://dx.doi.org/10.3390/pr10050812.

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The pressure swing adsorption (PSA) process has been considered a promising method for gas separation and purification. However, experimental methods are time-consuming, and it is difficult to obtain the detailed changes in variables in the PSA process. This review focuses on the numerical research developed to realize the modelling, optimization and control of the cyclic PSA process. A complete one-dimensional mathematical model, including adsorption bed, auxiliary devices, boundary conditions and performance indicators, is summarized as a general modelling approach. Key simplified assumptions and special treatments for energy balance are discussed for model reliability. Numerical optimization models and control strategies are reviewed for the PSA process as well. Relevant attention is given to the combination of deep-learning technology with artificial-intelligence-based optimization algorithms and advanced control strategies. Challenges to further improvements in the adsorbent database establishment, multiscale computational mass transfer model, large-scale PSA facility design, numerical computations and algorithm robustness are identified.

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Narayanan, Ramadas. "Theoretical Modelling of Silica Gel Desiccant Wheels." Applied Mechanics and Materials 787 (August 2015): 311–17. http://dx.doi.org/10.4028/www.scientific.net/amm.787.311.

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Desiccant evaporative cooling system is a potential environment-friendly alternative to conventional vapour compression chillers. A desiccant wheel is the heart of this heat driven cooling system and it uses a solid desiccant for dehumidification with silica gel being most widely used. The desiccant material is coated, impregnated or formed in a place on the supporting rotor structure. The matrix consists of multiple channels in the direction of axis of rotation of the wheel. Proper design of the wheel is very important for the successful operation of the system and theoretical models are very useful tool in predicting the performance and design optimization. One of the major difficulties in numerical modelling of the desiccant wheel is the lack of knowledge of adsorption equilibrium of porous medium.In this paper, adsorption equilibria of the silica gel is studied and the different theories existing to characterize the adsorption process and different equations for prediction of adsorption equilibria are compared and used in a theoretical model predicting the wheel performance. The results of the different models are compared with experimental data and conclusions are drawn.

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Khalfaoui, M., M. H. V. Baouab, R. Gauthier, and A. Ben Lamine. "Statistical Physics Modelling of Dye Adsorption on Modified Cotton." Adsorption Science & Technology 20, no. 1 (February 2002): 17–31. http://dx.doi.org/10.1260/026361702760120908.

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Experimental adsorption isotherms for four anionic dyes (Acid Blue 25, Acid Yellow 99, Reactive Yellow 23 and Acid Blue 74) on to cationized cotton have been analyzed using a multilayer adsorption model. For such purpose, the double-layer model showed the best fit with a high correlation coefficient R2. The analytical expression of the model has been established from an application of the grand canonical ensemble of statistical physics. This method allowed an estimation of all the mathematical parameters in the model. Thus, the receptor site density and the half-saturation concentration have been related to physicochemical variables such as the chemical potential, the adsorption energy, the anchorage number, etc. A physical interpretation of the model parameters has been provided and some results relating to the adsorption process discussed.

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NELSON, MARK I., RUBAYYI T. ALQAHTANI, and FAISAL I. HAI. "MATHEMATICAL MODELLING OF THE REMOVAL OF ORGANIC MICROPOLLUTANTS IN THE ACTIVATED SLUDGE PROCESS: A LINEAR BIODEGRADATION MODEL." ANZIAM Journal 60, no. 2 (October 2018): 191–229. http://dx.doi.org/10.1017/s1446181118000226.

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Before wastewaters can be released into the environment, they must be treated to reduce the concentration of organic pollutants in the effluent stream. There is a growing concern as to whether wastewater treatment plants are able to effectively reduce the concentration of micropollutants that are also contained in their influent streams. We investigate the removal of micropollutants in treatment plants by analysing a model that includes biodegradation and sorption as the main mechanisms of micropollutant removal. For the latter a linear adsorption model is used in which adsorption only occurs onto particulates.The steady-state solutions of the model are found and their stability is determined as a function of the residence time. In the limit of infinite residence time, we show that the removal of biodegradable micropollutants is independent of the processes of adsorption and desorption. The limiting concentration can be decreased by increasing the concentration of growth-related macropollutants. Although, in principle, it is possible that the concentration of micropollutants is minimized at a finite value of the residence time, this was found not to be the case for the particular biodegradable micropollutants considered.For nonbiodegradable pollutants, we show that their removal is always optimized at a finite value of the residence time. For finite values of the residence time, we obtain a simple condition which identifies whether biodegradation is more or less efficient than adsorption as a removal mechanism. Surprisingly, we find that, for the micropollutants considered, adsorption is always more important than biodegradation, even when the micropollutant is classified as being highly biodegradable with low adsorption.

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Polievoda, Yurii, Igor Tverdokhlib, and Valentina Bandura. "MODELLING OF OILY RAW MATERIAL EXCRACTION PROCESS." Vibrations in engineering and technology, no. 3(94) (November 26, 2019): 92–101. http://dx.doi.org/10.37128/2306-8744-2019-3-12.

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This paper concentrates on approaches to mathematical modelling of oily raw material extraction process. «Evolution» of modeling hypothesis based on analysis of differential diffusion equation under the right boundary and initial conditions; on simplified model of Fick's equation and on material balance equation; on mass transfer model in adsorption pore volume; on model for the surface layer by analogy of Van der Waals equation; on Gibbs' model based on the abrupt change of phases due to the intermolecular forces; on the simplest Langmuir equation model; on lattice-based models of Guggenheim, Pryhozhyn, Everett, Ohm, Briukhovetskyi and others. The fact that we need to know a large number of micro - parameters makes these models difficult to use in practice. Under normal extraction conditions, the flow, which comes out of solid phase, collides with the resistance of the diffusion boundary layer, which presents a tangible obstacle affecting the duration and quantity of special-purpose component extraction. As the boundary layer thickness depends on the hydrodynamics of the process, under the influence of the microwave field his obstacle is almost insensible, as the intense movement of liquid reduces its thickness. The main factor acting on the quantity of extracted substance is a pressure difference in capillaries and in the flow of extraction agent and mass transfer coefficient. The effect of pulse microwave input during the extraction transfers the process of diffusion from the external environment to internal, because internal pressure diffusion dominates in this process, but not the convective diffusion with the influence of external agent.

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Grande, Carlos A. "Modelling of adsorption technologies for controlling indoor air quality." Adsorption 28, no. 1-2 (January 27, 2022): 1–13. http://dx.doi.org/10.1007/s10450-022-00354-y.

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AbstractTechnologies for control of indoor air quality are very important to ensure that health and comfort conditions are attained in closed environments. The indoor air quality market is fertile ground for adsorption technologies, both at larger industrial scale and for residential uses. The common strategy to design adsorption technologies considers constant inlet conditions, while for most indoor air control applications, the inlet conditions will change because of the partial removal of the contaminant. This work presents a generic modelling approach, where the adsorption technology is coupled with the indoor environment to be controlled. This approach enables a tailored and more accurate process design and additionally, it can also assist in the physical location of the removal unit and sensors to control its operation. Two different examples of application of this methodology are provided: control of CO2 in tightly closed environments and "peak shaving" of water vapor in bathrooms.

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Kristianingsih, W., V. Liana, B. Rohmatulloh, I. Prakoso, M. R. Fauzy, B. D. Argo, and Y. Hendrawan. "Modelling and optimization of free fatty acid reduction in bulk palm cooking oil." IOP Conference Series: Earth and Environmental Science 924, no. 1 (November 1, 2021): 012073. http://dx.doi.org/10.1088/1755-1315/924/1/012073.

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Abstract Bulk cooking oil from palm oil processing is one of the biodiesel materials which is available in large quantities. The pre-treatment process can be done by adding 100 mesh activated zeolite adsorbent as a substitute for the esterification process to reduce free fatty acid (FFA). The purpose of this research was to model and optimize the zeolite concentration and adsorption time to reduce free fatty acids in bulk palm cooking oil. This study used a response surface method with a central composite design (CCD), resulting in 13 experimental combinations of two factorial treatments, i.e. the concentration of zeolite adsorbent and adsorption time. The zeolite concentration and the adsorption time with an upper limit of 30% and 120 minutes and a lower limit of 10% and 60 minutes had a significant effect on the FFA reduction. The best model was a quadratic model. The testing of validation data used the recommended optimum combination, i.e. the zeolite concentration of 10.59% and the adsorption time of 101.57 minutes resulting in a deviation of 5.37% between the predicted data and the actual data.

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Sugashini, S., and K. M. Meera Sheriffa Begum. "Column Adsorption Studies for the Removal of Cr(VI) Ions by Ethylamine Modified Chitosan Carbonized Rice Husk Composite Beads with Modelling and Optimization." Journal of Chemistry 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/460971.

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The objective of this present study is the optimization of process parameters in adsorption of Cr(VI) ions by ethylamine modified chitosan carbonized rice husk composite beads (EAM-CCRCBs) using response surface methodology (RSM) and continuous adsorption studies of Cr(VI) ions by ethylamine modified chitosan carbonized rice husk composite beads (EAM-CCRCBs). The effect of process variables such as initial metal ion concentration, adsorbent dosage and pH were optimized using RSM in order to ensure high adsorption capacity at low adsorbent dosage and high initial metal ion concentration of Cr(VI) in batch process. The optimum condition suggested by the model for the process variable such as adsorbent dosage, pH and initial metal ion concentration was 0.14 g, 300 mg/L and pH2 with maximum removal of 99.8% and adsorption capacity of 52.7 mg/g respectively. Continuous adsorption studies were conducted under optimized initial metal ion concentration and pH for the removal of Cr(VI) ions using EAM-CCRCBs. The breakthrough curve analysis was determined using the experimental data obtained from the continuous adsorption. Continuous adsorption modelling such as bed depth service model and Thomson model were established by fitting it with experimental data.

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ERBAN, RADEK, S. JONATHAN CHAPMAN, KERRY D. FISHER, IOANNIS G. KEVREKIDIS, and LEONARD W. SEYMOUR. "DYNAMICS OF POLYDISPERSE IRREVERSIBLE ADSORPTION: A PHARMACOLOGICAL EXAMPLE." Mathematical Models and Methods in Applied Sciences 17, no. 05 (May 2007): 759–81. http://dx.doi.org/10.1142/s0218202507002091.

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Many drug delivery systems suffer from undesirable interactions with the host immune system. It has been experimentally established that covalent attachment (irreversible adsorption) of suitable macromolecules to the surface of the drug carrier can reduce such undesirable interactions. A fundamental understanding of the adsorption process is still lacking. In this paper, the classical random irreversible adsorption model is generalized to capture certain essential processes involved in pharmacological applications, allowing for macromolecules of different sizes, partial overlapping of the tails of macromolecules, and the influence of reactions with the solvent on the adsorption process. Working in one dimension, an integro-differential evolution equation for the adsorption process is derived, and the asymptotic behavior of the surface area covered and the number of molecules attached to the surface are studied. Finally, equation-free dynamic renormalization tools are applied to study the asymptotically self-similar behavior of the adsorption statistics.

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ERTAN, BENGÜ. "COMPARISON OF STINGING NETTLE ADSORPTION PERFORMANCE TOWARDS ANIONIC AND CATIONIC DYES." Cellulose Chemistry and Technology 55, no. 9-10 (December 3, 2021): 1131–42. http://dx.doi.org/10.35812/cellulosechemtechnol.2021.55.97.

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Stinging nettle was used as lignocellulosic adsorbent for the removal of cationic dye – malachite green (MG), and anionic dye – Congo red (CR), from aqueous solution, without any chemical pretreatment. The adsorption equilibrium data fitted well with the Langmuir model for the adsorption of both dyes, with the calculated maximum adsorption capacity of 270.27 mgg-1 and 172.14 mgg-1 for MG and CR, respectively. The adsorption process was controlled by the pseudo-second-order model in the adsorption of MG and by the pseudo-first-order model in the adsorption of CR. The thermodynamics modelling displayed that the process was spontaneous and endothermic. The π–π electron–donor interaction, hydrogen bonds and pore diffusion may also be effective, besides electrostatic interaction between the adsorbate and the adsorbent in the mechanism of MG and CR uptake.

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Devaraj, Nisha Kumari, and Ameer Al Mubarak Hamzah. "Predictive modelling of arsenate (As(V)) adsorption onto surface-engineered magnetite nanoparticles." F1000Research 10 (December 9, 2021): 1264. http://dx.doi.org/10.12688/f1000research.73260.1.

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Background: Since adsorption is a complex process, numerous models and theories have been devised to gain general understanding of its underlying mechanisms. The interaction between the adsorbates and adsorbents can be identified via modelling of the adsorption data with different adsorption isotherms as well as kinetic models. Many studies are also focused on developing predictive modelling techniques to facilitate accurate prediction of future adsorption trends. Methods: In this study, a predictive model was developed based on a multiple linear regression technique using existing data of As(V) adsorption onto several coated and uncoated magnetite samples. To understand the mechanisms and interactions involved, the data was first modelled using either Temkin or Freundlich linear isotherms. The predicted value is a single data point extension from the training data set. Subsequently, the predicted outcome and the experimental values were compared using multiple error functions to assess the predictive model’s performance. Results: In addition, certain values were compared to that obtained from the literature, and the results were found to have low error margins. Conclusion: To further gauge the effectiveness of the proposed model in accurately predicting future adsorption trends, it should be further tested on different adsorbent and adsorbate combinations.

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Danso-Boateng, Eric, Melissa Fitzsimmons, Andrew B. Ross, and Ted Mariner. "Response Surface Modelling of Methylene Blue Adsorption onto Seaweed, Coconut Shell and Oak Wood Hydrochars." Water 15, no. 5 (March 3, 2023): 977. http://dx.doi.org/10.3390/w15050977.

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Adsorption of methylene blue (MB) dye from an aqueous solution onto hydrochars produced from brown seaweed (Fucus Serratus) (FS-HC), coconut shell (CS-HC), and oak wood (Oak-HC) at different temperatures (200–250 °C) was investigated in a batch system. Response surface modelling (RSM) was used to investigate the effect of initial MB concentration (50–300 mg/L), contact time (0–240 min), and solution pH (2–12) on the adsorption process. RSM was also used to model and optimise these parameters for efficient adsorption. Kinetic and isotherms studies were carried out to study the adsorption mechanism onto the hydrochars. It was found that the best adsorbent from the RSM model was FS-HC200, and the optimal conditions for greater MB dye uptake were lower initial MB concentration (50 mg/L), pH 6 and contact time of 84 min; removing >99% of MB. Langmuir and Redlich–Peterson isotherm models fitted the adsorption of MB onto hydrochars prepared at 200 and 250 °C. Freundlich and Redlich–Peterson isotherms were suitable for hydrochars produced at 220 °C. FS-HCs have the highest maximum adsorption capacity of MB of about (8.60–28.57) mg/g calculated from the Langmuir isotherm. The adsorption process for all the hydrochars followed a pseudo-second-order model (R2 = 0.96–1.00), and film diffusion and intraparticle diffusion were the rate-determining steps. Therefore, this work identifies cheap adsorbents from biowaste that are effective for the removal of cationic pollutants from wastewater.

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Koppejan, Victor, Guilherme Ferreira, Dong-Qiang Lin, and Marcel Ottens. "Mathematical modelling of expanded bed adsorption - a perspective on in silico process design." Journal of Chemical Technology & Biotechnology 93, no. 7 (April 6, 2018): 1815–26. http://dx.doi.org/10.1002/jctb.5595.

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Darkwa, K., A. Ianakiev, and P. W. O’Callaghan. "Modelling and simulation of adsorption process in a fluidised bed thermochemical energy reactor." Applied Thermal Engineering 26, no. 8-9 (June 2006): 838–45. http://dx.doi.org/10.1016/j.applthermaleng.2005.10.008.

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Erhart, Oliver, Peter A. Georgiev, and Harald Krautscheid. "Desolvation process in the flexible metal–organic framework [Cu(Me-4py-trz-ia)], adsorption of dihydrogen and related structure responses." CrystEngComm 21, no. 43 (2019): 6523–35. http://dx.doi.org/10.1039/c9ce00992b.

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Structural changes and the unusual H₂ adsorption behaviour of a Cu²⁺-based MOF were studied by X-ray diffraction in combination with DFT modelling and by inelastic neutron scattering.

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Wang, Shaobin, and Huiting Li. "Kinetic modelling and mechanism of dye adsorption on unburned carbon." Dyes and Pigments 72, no. 3 (January 2007): 308–14. http://dx.doi.org/10.1016/j.dyepig.2005.09.005.

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Ibrahim, Qusai, Leo Creedon, and Salem Gharbia. "A Literature Review of Modelling and Experimental Studies of Water Treatment by Adsorption Processes on Nanomaterials." Membranes 12, no. 4 (March 24, 2022): 360. http://dx.doi.org/10.3390/membranes12040360.

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A significant growth in the future demand for water resources is expected. Hence researchers have focused on finding new technologies to develop water filtration systems by using experimental and simulation methods. These developments were mainly on membrane-based separation technology, and photocatalytic degradation of organic pollutants which play an important role in wastewater treatment by means of adsorption technology. In this work, we provide valuable critical review of the latest experimental and simulation methods on wastewater treatment by adsorption on nanomaterials for the removal of pollutants. First, we review the wastewater treatment processes that were carried out using membranes and nanoparticles. These processes are highlighted and discussed in detail according to the rate of pollutant expulsion, the adsorption capacity, and the effect of adsorption on nanoscale surfaces. Then we review the role of the adsorption process in the photocatalytic degradation of pollutants in wastewater. We summarise the comparison based on decomposition ratios and degradation efficiency of pollutants. Therefore, the present article gives an evidence-based review of the rapid development of experimental and theoretical studies on wastewater treatment by adsorption processes. Lastly, the future direction of adsorption methods on water filtration processes is indicated.

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Argyelan, J., and R. Nassar. "A non-linear model of an open flow adsorption process." Environmetrics 6, no. 2 (March 1995): 195–203. http://dx.doi.org/10.1002/env.3170060209.

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Rees, K. L., and J. S. J. Van Deventer. "Gold process modelling. I. Batch modelling of the processes of leaching, preg-robbing and adsorption onto activated carbon." Minerals Engineering 14, no. 7 (July 2001): 753–73. http://dx.doi.org/10.1016/s0892-6875(01)00071-1.

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Yancy-Caballero, Daison, Karson T. Leperi, Benjamin J. Bucior, Rachelle K. Richardson, Timur Islamoglu, Omar K. Farha, Fengqi You, and Randall Q. Snurr. "Process-level modelling and optimization to evaluate metal–organic frameworks for post-combustion capture of CO2." Molecular Systems Design & Engineering 5, no. 7 (2020): 1205–18. http://dx.doi.org/10.1039/d0me00060d.

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Sahu, Manoj Kumar, Uttam Kumar Sahu, and Raj Kishore Patel. "Correction: Adsorption of safranin-O dye on CO2 neutralized activated red mud waste: process modelling, analysis and optimization using statistical design." RSC Advances 6, no. 39 (2016): 32721. http://dx.doi.org/10.1039/c6ra90033j.

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Correction for ‘Adsorption of safranin-O dye on CO₂ neutralized activated red mud waste: process modelling, analysis and optimization using statistical design’ by Manoj Kumar Sahu et al., RSC Adv., 2015, 5, 42294–42304.

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Montazerolghaem, Maryam, Amir Rahimi, and Fakhry Seyedeyn-Azad. "A Mathematical Modeling and Experimental Study on Adsorptive Desulfurization of Model Gasoline Using Synthesized Ni–Y and Ce–Y Zeolites." Chemical Product and Process Modeling 9, no. 2 (December 1, 2014): 155–64. http://dx.doi.org/10.1515/cppm-2014-0012.

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Abstract In this study, Ni–Y and Ce–Y zeolites are prepared using synthesized Na–Y zeolite through solid-state ion-exchange method. The adsorptive desulfurization of a model gasoline containing 194, 116 and 72 ppmw sulfur is evaluated in a batch system under ambient conditions. A dynamic model is established in order to investigate the performance of the adsorption process. The model predictions are compared with the obtained experimental results for thiophene adsorption on Ni–Y and Ce–Y zeolites from model solution containing different concentrations of thiophene, and a good agreement is observed. The model parameters: diffusivity and mass transfer coefficient are estimated by comparing the model predictions and experimental data.

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Martinson, L., M. Alveteg, C. M. Mörth, and P. Warfvinge. "The effect of changes in natural and anthropogenic deposition on modelling recovery from acidification." Hydrology and Earth System Sciences 7, no. 5 (October 31, 2003): 766–76. http://dx.doi.org/10.5194/hess-7-766-2003.

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Abstract. The multi-layer dynamic soil chemistry SAFE model was used to study the dynamics of recovery in the F1 catchment at Lake Gårdsjön, Sweden. The influence of (1) sulphate adsorption, and (2) changes in marine deposition, on model predictions of recovery was studied. Sulphate adsorption/desorption in SAFE is modeled by an isotherm in which sulphate adsorption is dependent on both the sulphate concentration and the pH in the soil solution. This isotherm was parameterised for the B-horizon of F1 for the sulphate concentration range 10–260 m mol-1 and the pH range 3.8–5.0. Sulphate adsorption/desorption as the only soil process involving sulphate is adequate to predict sulphate in run-off at F1. Adding the process caused time-delays in sulphate concentration in run-off of only 1-2 years, which was much shorter than previously seen in the adjacent G1 catchment. The location of Lake Gårdsjön, approximately 15 km inland from the Swedish west coast, ensures that the marine deposition to the area is high. Model output showed that the temporal variation in marine deposition has a considerable impact on the run-off chemistry. Such changes in marine deposition are difficult to foresee and their influence on modelled run-off chemistry can be large when soils start to recover as the previously high concentrations of anthropogenic sulphate in the soil solution decrease. Keywords: climate change, dynamic modelling, run-off chemistry, sea-salt effect, soil and water acidification, sulphate adsorption

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Abu Samah, Rozaimi. "FIXED-BED ADSORPTION OF AQUEOUS VANILLIN ONTO RESIN H103." IIUM Engineering Journal 18, no. 2 (December 1, 2017): 94–104. http://dx.doi.org/10.31436/iiumej.v18i2.804.

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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.

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Chandrasena, G. I., A. Deletic, and D. T. McCarthy. "Evaluating Escherichia coli removal performance in stormwater biofilters: a preliminary modelling approach." Water Science and Technology 67, no. 11 (June 1, 2013): 2467–75. http://dx.doi.org/10.2166/wst.2013.134.

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Stormwater biofilters are not currently optimised for pathogen removal since the behaviour of these pollutants within the stormwater biofilters is poorly understood. Modelling is a common way of optimising these systems, which also provides a better understanding of the major processes that govern the pathogen removal. This paper provides an overview of a laboratory-scale study that investigated how different design and operational conditions impact pathogen removal in the stormwater biofilters. These data were then used to develop a modelling tool that can be used to optimise the design and operation of the stormwater biofilters. The model uses continuous simulations where adsorption and desorption were dominant during wet weather periods and first order die-off kinetics were significant in dry periods between the wet weather events. Relatively high Nash Sutcliffe Efficiencies (>0.5) indicate that the calibrated model is in good agreement with observed data and the optimised model parameters were comparable with values reported in the literature. The model's sensitivity is highest towards the adsorption process parameter followed by the die-off and desorption rate parameters, which implies that adsorption is the governing process of the model. Vegetation is found to have an impact on the wet weather processes since the adsorption and desorption parameters vary significantly with the different plant configurations. The model is yet to be tested against field data and needs to be improved to represent the effect of some other biofilter design configurations, such as the inclusion of the submerged zone.

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Štimec, Teodor, Matjaž Hriberšek, Jure Ravnik, Sani Bašič, and Matej Zadravec. "Adsorption equilibrium modelling for different temperature conditions and its influence on adsorption mass transfer." Anali PAZU 5, no. 1-2 (June 7, 2022): 26–32. http://dx.doi.org/10.18690/analipazu.5.1-2.26-32.2015.

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The paper deals with numerical modelling of adsorption kinetics in a narrow channel of a honeycomb type adsorber. The mass transfer model consists of solving the diffusion-convection transport equation for adsorbate species in the fluid phase. The adsorbate flux to the wall is computed implicitly by using the Boundary Element Method for the solution of the transport equation. Scalable boundary condition for the adsorbate concentration on the adsorbent walls is used, defined on basis of the ratio of the accumulated adsorbate mass and the equilibrium adsorbate mass for a given system temperature. As the state of equilibrium is dependent also on the system temperature, a sensitivity study of the adsorption process under different system temperatures is performed. Among the studied adsorption equilibria models, including the Freundlich model, Simplified local density (SLD) model and the Dubinin-Radushkevich model, the latter is proved as the best compromise between accuracy and computational cost and applied in mass transfer kinetics computations. The results of computations show, that the increase in system temperature results in a decrease of breakthrough times, as the equilibrium amounts of adsorbate at the adsorbent walls decrease with increasing temperature, therefore making the derived numerical model suitable for further use in detailed mass transfer kinetics computations.

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Matusoiu, Florin, Adina Negrea, Mihaela Ciopec, Narcis Duteanu, Petru Negrea, Paula Svera, and Catalin Ianasi. "Molybdate Recovery by Adsorption onto Silica Matrix and Iron Oxide Based Composites." Gels 8, no. 2 (February 16, 2022): 125. http://dx.doi.org/10.3390/gels8020125.

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Aggressive industrial development over the last century involved different heavy metals being used, including high quantities of molybdenum, which need to be treated before discharge in industrial waters. Molybdenum’s market price and industrial applicability make its recovery a big challenge. In the present study the possibility to recover molybdenum ions from aqueous solutions by adsorption on a composite material based on silica matrix and iron oxides—SiO2FexOy—was evaluated. Tests were performed in order to determine the influence of adsorbent material dose, initial solution pH, contact time and temperature over adsorption capacity of synthesized adsorbent material. For better understanding of the adsorption process, the obtained experimental data were modelled using Langmuir, Freundlich and Sips adsorption isotherms. Based on the obtained data, it can proved that the Sips isotherm was describing with better orderliness the studied process, obtaining a maximum adsorption capacity of 10.95 mg MoO42− for each gram of material. By modelling the studied adsorption process, it was proven that the pseudo-second order model is accurately describing the adsorption process. By fitting experimental data with Weber-Morris model, it was proven that MoO42− adsorption is a complex process, occurring in two different steps, one controlled by diffusion and the second one controlled by mass transfer. Further, studies were performed in order to determine the optimum pH value needed to obtain maximum adsorption capacity, but also to determine which are the adsorbed species. From pH and desorption studies, it was proven that molybdate adsorption is a physical process. In order to establish the adsorption mechanism, the thermodynamic parameters (ΔG0, ΔH0 and ΔS0) were determined.

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Pathak, Uttarini, Papita Das, Prasanta Banerjee, and Siddhartha Datta. "Treatment of Wastewater from a Dairy Industry Using Rice Husk as Adsorbent: Treatment Efficiency, Isotherm, Thermodynamics, and Kinetics Modelling." Journal of Thermodynamics 2016 (January 20, 2016): 1–7. http://dx.doi.org/10.1155/2016/3746316.

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Effluent from milk processing unit contains soluble organics, suspended solids, and trace organics releasing gases, causing taste and odor, and imparting colour and turbidity produced as a result of high consumption of water from the manufacturing process, utilities and service section, chemicals, and residues of technological additives used in individual operations which makes it crucial matter to be treated for preserving the aesthetics of the environment. In this experimental study after determination of the initial parameters of the raw wastewater it was subjected to batch adsorption study using rice husk. The effects of contact time, initial wastewater concentration, pH, adsorbent dosage, solution temperature and the adsorption kinetics, isotherm, and thermodynamic parameters were investigated. The phenomenon of adsorption was favoured at a lower temperature and lower pH in this case. Maximum removal as high as 92.5% could be achieved using an adsorbent dosage of 5 g/L, pH of 2, and temperature of 30°C. The adsorption kinetics and the isotherm studies showed that the pseudo-second-order model and the Langmuir isotherm were the best choices to describe the adsorption behavior. The thermodynamic parameters suggested that not only was the adsorption by rice husk spontaneous and exothermic in nature but also the negative entropy change indicated enthalpy driven process.

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Eltekova, N. A., and Yu A. Eltekov. "Adsorption Equilibria in Carbon/Hydrocarbon/Water Systems." Adsorption Science & Technology 15, no. 2 (January 1997): 109–14. http://dx.doi.org/10.1177/026361749701500204.

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Two equations derived from the theory of volume filling of micropores (the DR and DS equations) were used for the description of the liquid-phase adsorption of benzene, toluene and p-xylene from aqueous solution on to two commercial microporous activated carbons. Comparison of the experimental and calculated adsorption isotherms showed good accord between the theoretical and experimental values. The results of this work indicate that the parameters of these equations can be used for modelling a water purification process based on the activated carbons.

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Garba, Zaharaddeen N. "The Relevance of Isotherm and Kinetic Models to Chlorophenols Adsorption: A Review." Avicenna Journal of Environmental Health Engineering 6, no. 1 (June 29, 2019): 55–65. http://dx.doi.org/10.34172/ajehe.2019.08.

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The derivatives of phenols are among the most widely used chemicals in day-to-day life, which lead to water contamination by chlorophenols (CPs). These compounds belong to a class of those widely used chemicals that increase global concern about environmental protection due to their recalcitrant nature. Adsorption process has been employed for the removal of CPs from contaminated water out of many methods of wastewater treatment. This is due to its insensitivity to toxic substances, effectiveness, universal nature, fast kinetics, as well as the ease of operation and its simplicity in the design and applicability. Thus, this study compared the adsorption isotherm models such as linear and nonlinear and well discussed the fundamental characteristics, modelling, and mathematical derivations. Finally, the study highlighted and addressed the role of different isotherm models that were used in describing the adsorptive removal of CPs using various adsorbents.

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Kleiv, R. A., and K. L. Sandvik. "Modelling copper adsorption on olivine process dust using a simple linear multivariable regression model." Minerals Engineering 15, no. 10 (October 2002): 737–44. http://dx.doi.org/10.1016/s0892-6875(02)00173-5.

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Cheng, Dang, E. A. J. F. (Frank) Peters, and J. A. M. (Hans) Kuipers. "Numerical modelling of flow and coupled mass and heat transfer in an adsorption process." Chemical Engineering Science 152 (October 2016): 413–25. http://dx.doi.org/10.1016/j.ces.2016.06.036.

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Seemann, Albert, Ekkehard Richter, and Harald Jüntgen. "Modelling of a pressure swing adsorption process for oxygen enrichment with carbon molecular sieve." Chemical Engineering & Technology - CET 11, no. 1 (1988): 341–51. http://dx.doi.org/10.1002/ceat.270110145.

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Gallindo, Andrezza de Araújo Silva, Reinaldo Alves da Silva Junior, Meiry Gláucia Freire Rodrigues, and Wagner Brandão Ramos. "Modelling and simulation of the ion exchange process for Zn2+(aq) removal using zeolite NaY." Research, Society and Development 10, no. 12 (September 23, 2021): e310101220362. http://dx.doi.org/10.33448/rsd-v10i12.20362.

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The treatment of water contaminated by toxic metals using ion exchange with zeolites is becoming attractive due to its low capital costs and high potential for removal capacity. Mathematical modelling of this process allows for operational control and estimation of the ability to remove these metals. In this work, the kinetic modelling was performed based on finite bath experimental data, with Intraparticle Diffusion (IPD) and External Liquid Film Mass Transfer (MTEF) models. The models Thomas (TH), Yoon-Nelson (YN) and Solid Film Mass Transfer (MTSF) were used to estimate the saturation time, ion exchange capacity and sizing variables of a fixed bed column. For the finite bath system, the results showed that the mass transfer was better represented by the IPD phenomenon. The breakthrough curve obtained by the Aspen Adsorption (MTSF) model presented the best fit, compared with experimental data, with R2≥0.9923. The average ion exchange capacities calculated for MTSF, TH and YN were respectively 2.22, 2.12 and 2.07 meq Zn2+(aq)/ g of zeolite. The model simulated with Aspen Adsorption was also used to analyze the continuous system behaviour, by varying the height of the bed. It was observed that increasing the height, the saturation time and ion exchange capacity also increase, while reducing the height makes axial dispersion the predominant mass transfer phenomenon, which reduces the diffusion of Zn2+(aq) ions.

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Xie, Bingxin, Jihong Qin, Shu Wang, Xin Li, Hui Sun, and Wenqing Chen. "Adsorption of Phenol on Commercial Activated Carbons: Modelling and Interpretation." International Journal of Environmental Research and Public Health 17, no. 3 (January 28, 2020): 789. http://dx.doi.org/10.3390/ijerph17030789.

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Adsorption by activated carbons (AC) is an effective option for phenolic wastewater treatment. Three commercial AC, including coal-derived granular activated carbons (GAC950), coal-derived powdered activated carbons (PAC800), and coconut shell-derived powdered activated carbons (PAC1000), were utilized as adsorbent to study its viability and efficiency for phenol removal from wastewater. Pseudo-first order, pseudo-second order, and the Weber–Morris kinetic models were used to find out the kinetic parameters and mechanism of adsorption process. Further, to describe the equilibrium isotherms, the experimental data were analyzed by the Langmuir and Freundlich isotherm models. According to the experimental results, AC presented a micro/mesoporous structure, and the removal of phenol by AC was affected by initial phenol concentration, contact time, pH, temperature, and humic acid (HA) concentration. The pseudo-second order kinetic and Langmuir models were found to fit the experimental data very well, and the maximum adsorption capacity was 169.91, 176.58, and 212.96 mg/g for GAC950, PAC800, and PAC1000, respectively, which was attributed to differences in their precursors and physical appearance. Finally, it was hard for phenol to be desorbed in a natural environment, which confirmed that commercial AC are effective adsorbents for phenol removal from effluent wastewater.

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Jakšić, Olga, Marko Spasenović, Zoran Jakšić, and Dana Vasiljević-Radović. "Monolayer Gas Adsorption on Graphene-Based Materials: Surface Density of Adsorption Sites and Adsorption Capacity." Surfaces 3, no. 3 (August 24, 2020): 423–32. http://dx.doi.org/10.3390/surfaces3030031.

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Surface density of adsorption sites on an adsorbent (including affinity-based sensors) is one of the basic input parameters in modeling of process kinetics in adsorption based devices. Yet, there is no simple expression suitable for fast calculations in current multiscale models. The published experimental data are often application-specific and related to the equilibrium surface density of adsorbate molecules. Based on the known density of adsorbed gas molecules and the surface coverage, both of these in equilibrium, we obtained an equation for the surface density of adsorption sites. We applied our analysis to the case of pristine graphene and thus estimated molecular dynamics of adsorption on it. The monolayer coverage was determined for various pressures and temperatures. The results are verified by comparison with literature data. The results may be applicable to modeling of the surface density of adsorption sites for gas adsorption on other homogeneous crystallographic surfaces. In addition to it, the obtained analytical expressions are suitable for training artificial neural networks determining the surface density of adsorption sites on a graphene surface based on the known binding energy, temperature, mass of adsorbate molecules and their affinity towards graphene. The latter is of interest for multiscale modelling.

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Bhaskara, Usha, Yvonne Sanders, Henk Gooijer, and Marijn Warmoeskerken. "Kinetics of Adsorption and Desorption of PHMB from Textile Surfaces." AATCC Journal of Research 8, no. 1 (January 1, 2021): 1–7. http://dx.doi.org/10.14504/ajr.8.1.1.

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Adsorption and desorption studies were done of polyhexamethylene biguanide (PHMB) onto two different types of textile fiber surfaces. Based on these studies and mathematical modelling, the rate constants were calculated. Two different experimental conditions were used to simulate laundering, namely wet-to-wet and dry-to-wet. The model PHMB surface concentrations showed that the model can be used to describe the adsorption kinetics on cotton and cotton-polyester blends with reasonable accuracy.

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Šarko, Julita, Teresė Leonavičienė, and Aušra Mažeikienė. "Research and Modelling the Ability of Waste from Water and Wastewater Treatment to Remove Phosphates from Water." Processes 10, no. 2 (February 20, 2022): 412. http://dx.doi.org/10.3390/pr10020412.

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This research investigated the ability of two materials, which are waste generated during water treatment and wastewater treatment, to remove phosphates from water. The selected materials were quartz sand used in drinking water treatment plants (OQS) and incinerated (600 °C) sewage sludge (ISS). The materials were chosen for their composition: both contain aluminium, iron, and calcium. The experiments were carried out in the laboratory (in batch and in columns stand). Modelling of the sorption processes was performed on the basis of results from experiments in batches. The maximum adsorption capacity of the OQS was 1.14 mg/g obtained using the linearized Langmuir model and the maximum adsorption capacity of the ISS was 0.86 mg/g for the linearized Langmuir model (in batch). A pseudo-first-order model obtained using a nonlinear fit can accurately explain phosphate adsorption kinetics using both adsorbents: OQS and ISS. During the column filtration experiment, a higher sorption capacity of the ISS filter media was achieved −2.1 mg of phosphate phosphorus per gram of filter media. The determined adsorption capacity of the investigated materials was average, but the reuse of this waste would help to solve the issues of the circular economy.

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Journal articles on the topic 'Adsorption Process Modelling'

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