Literatura académica sobre el tema "Adsorption Process Modelling"
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Artículos de revistas sobre el tema "Adsorption Process Modelling"
Dziubek, Andrzej M. y Apolinary L. Kowal. "Modelling of the Coagulation–Adsorption Process in Treatment Systems". Water Science and Technology 17, n.º 6-7 (1 de junio de 1985): 1113–20. http://dx.doi.org/10.2166/wst.1985.0206.
Texto completoKaczmarski, Krzysztof, Mateusz Przywara y Ewa Lorenc-Grabowska. "Advanced modelling of adsorption process on activated carbon". Chemical Engineering Research and Design 181 (mayo de 2022): 27–40. http://dx.doi.org/10.1016/j.cherd.2022.03.004.
Texto completoChing, C. B., K. Hidajat, C. Ho y D. M. Ruthven. "Modelling of a simulated counter-current adsorption process". Reactive Polymers, Ion Exchangers, Sorbents 6, n.º 1 (junio de 1987): 15–20. http://dx.doi.org/10.1016/0167-6989(87)90203-0.
Texto completoAittomäki, A. y M. Härkönen. "Modelling of zeolite/methanol adsorption heat pump process". Heat Recovery Systems and CHP 8, n.º 5 (enero de 1988): 475–82. http://dx.doi.org/10.1016/0890-4332(88)90053-1.
Texto completoPlaza, M. G., I. Durán, F. Rubiera y C. Pevida. "Adsorption-based Process Modelling for Post-combustion CO2 Capture". Energy Procedia 114 (julio de 2017): 2353–61. http://dx.doi.org/10.1016/j.egypro.2017.03.1365.
Texto completoA. Gadooa, Zainab y Mohammed N. Abbas. "REVIEW: MATHEMATICAL MODELLING OF HEAVY METALS REMOVAL FROM PETROLEUM REFINERY WASTEWATER". Journal of Engineering and Sustainable Development 25, Special (20 de septiembre de 2021): 3–31. http://dx.doi.org/10.31272/jeasd.conf.2.3.3.
Texto completoVetter, Florian Lukas y Jochen Strube. "Need for a Next Generation of Chromatography Models—Academic Demands for Thermodynamic Consistency and Industrial Requirements in Everyday Project Work". Processes 10, n.º 4 (7 de abril de 2022): 715. http://dx.doi.org/10.3390/pr10040715.
Texto completoHrebeniuk, T. V., A. O. Dychko y V. O. Bronytskyi. "Modelling of process of adsorption at wastewater treatment from phenol". Ecological Sciences 1, n.º 2 (2019): 5–7. http://dx.doi.org/10.32846/2306-9716-2019-1-24-2-1.
Texto completoCarmo Coimbra, Maria do, Carlos Sereno y Alı́rio Rodrigues. "Modelling multicomponent adsorption process by a moving finite element method". Journal of Computational and Applied Mathematics 115, n.º 1-2 (marzo de 2000): 169–79. http://dx.doi.org/10.1016/s0377-0427(99)00171-5.
Texto completoMendes, Elton, Elidio Angioletto, Erlon Mendes, Raquel Ternus, Kelly Regina Betiatto, Riss Heloisa, Karine Testa, Raquel Piletti, Humberto Gracher Riella y Márcio Antônio Fiori. "Kinetics Modelling of the Adsorption Process of Zinc Ions by Glass Microparticles". Materials Science Forum 930 (septiembre de 2018): 556–61. http://dx.doi.org/10.4028/www.scientific.net/msf.930.556.
Texto completoTesis sobre el tema "Adsorption Process Modelling"
Pizzochero, Giacomo. "Modelling of the multicomponent thermodynamics and momentum balance of the high-purity N2-PSA-process". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Buscar texto completoBeh, Christopher Chun Keong. "Vacuum swing adsorption process for oxygen enrichment : a study into the dynamics, modelling and control". Monash University, Dept. of Chemical Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/9533.
Texto completoYao, Hong Mei. "Wavelet based dynamic modelling of simulated moving bed chromatographic processes". Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/1918.
Texto completoYao, Hong Mei. "Wavelet based dynamic modelling of simulated moving bed chromatographic processes". Curtin University of Technology, Department of Chemical Engineering, 2009. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=128426.
Texto completoThrough a systematic study on the advances of SMB modelling, design and control, a set of functionally equivalent models for SMBCP are identified and summarized for their practical applications. The limitations of the existing modelling techniques in industrial applications are also identified. Furthermore, structural analysis of the existing models is conducted for a better understanding of the functionality and suitability of each model. Suggestions are given on how to choose an appropriate model with sufficient accuracy while keeping the computational demand reasonably low for real time control.
Effort is made on to the systematic investigation of different numerical methods for the solution of PDEs to circumvent the steep gradients encountered in chromatographic separation. Comprehensive studies are conducted on a single column chromatographic process represented by a transport-dispersive-equilibrium linear model. Numerical solutions from the upwind-1 finite difference, wavelet-collocation, and high resolution methods are evaluated by quantitative comparisons with the analytical solution for a range of Peclet numbers. It reveals that for a PDE system with a low Peclet number, all existing numerical methods work well, but the upwind finite difference method consumes the most time for the same degree of accuracy of the numerical solution. The high resolution method provides an accurate numerical solution for a PDE system with a medium Peclet number. The wavelet collocation method is capable of catching up steep changes in the solution, and thus can be used for solving PDE models with high singularity.
The advantages and disadvantages of the wavelet based approaches are further investigated through several case studies on real SMBCP system. A glucose-fructose separation process is firstly chosen with its relatively simple isotherm representations. Simulations are conducted using both wavelet collocation and upwind finite difference methods. For more complicated applications, an enantiomers separation process is selected. As the PDEs model exhibit a certain degree of singularity, wavelet collocation and high resolution methods are adopted for spatial discretisation. It is revealed that both the wavelet based approaches and high resolution methods are good candidates in terms of computation demand and prediction accuracy on the steep front. This is the first time that these two frontier numerical methods are used for such a complex SMB system models and our results are encouraging for the development of model-based online control scheme.
In developing a new scheme to rapidly obtain the solution at steady state for any arbitrary initial condition, the concept of Quasi-Envelope (QE) is adopted under the consideration that a SMBCP can be treated as a pseudo-oscillatory process because of a large number of continuous switching. The scheme allows larger steps to be taken to predict the slow change of starting state within each switching. Combined with previously developed wavelet-based technique, this method is successfully applied to the simulation of a SMB sugar separation process. Investigations are also carried out on the location of proper starting point for the algorithm and on the effect of changing stepsize to the convergence of iteration method. It is found that if the starting state of Quasi-Envelope is chosen to be the same as the original function, the multivalue algorithm would require similar computational effort to achieve the steady state prediction, regardless of the integration stepsize. If using constant stepsize, launching QE later is helpful when quasi-envelope displays steep change at the start-up period. A changing stepsize produces slow convergence compared to the constant stepsize strategy, thus increasing the work load where the stepsize change is occurring. Other iteration method is required to be imposed to achieve faster convergence right from the beginning. Potential applications can be seen for other chemical engineering processes with inherent cyclic behaviour.
Borsos, Akos. "Modelling and control of crystal purity, size and shape distributions in crystallization processes". Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/25478.
Texto completoKangas, J. (Jani). "Separation process modelling:highlighting the predictive capabilities of the models and the robustness of the solving strategies". Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526203768.
Texto completoTiivistelmä Työn tavoitteena oli muotoilla prosessin käyttäytymisen ennustamiseen kykeneviä erotusprosessimalleja ja niiden ratkaisuun käytettäviä luotettavia strategioita. Vaikka kaikkien erotusprosessimallien tulisi olla ennustavia, on tällä hetkellä useita kohteita, joissa prosessin käyttäytymistä ei voida ennustaa siten, että käytettävissä olisi sekä ilmiöpohjainen malli että ratkaisuun soveltuva luotettava strategia. Tässä työssä erotusprosessimalleista kohteina tarkasteltiin neste-neste-erotuksen ja membraanierotuksen kuvaukseen käytettäviä malleja. Neste-neste-erotusmallien luotettava ratkaisu vaatii yleensä faasistabiilisuusongelman ratkaisua. Lisäksi faasien koostumusten luotettava ennustaminen pohjautuu faasistabiilisuusanalyysiin. Faasistabiilisuusongelmalla on useita mahdollisia ratkaisuja, jotka kaikki tulee löytää, jotta voitaisiin varmistaa luotettava mallin ratkaisu sekä prosessimallin ennustuskyvyn säilyminen. Kaikkien ratkaisujen löytäminen on sekä vaikeaa että epätarkkaa paikallisesti konvergoituvilla ratkaisumenetelmillä. Tämän vuoksi globaaleihin ratkaisumenetelmiin kuuluvia modifioituja rajoitettuja homotopiamenetelmiä kehitettiin edelleen, jotta faasistabiilisuusongelma saataisiin ratkaistua luotettavasti. Ratkaisun luotettavuus vaati sekä muuttujien että homotopiaparametrin rajoittamista ja ongelman triviaalin ratkaisun käyttöä ratkaisustrategiassa. Tämä käyttäytyminen todennettiin useissa neste-nestetasa-painoa kuvaavissa esimerkeissä. Membraanierotusta tarkasteltaessa ennustava malli voidaan muotoilla käyttämällä Maxwell-Stefan pohjaista mallia. Maxwell-Stefan lähestymistavalla voidaan ennustaa monikomponenttiseosten erotusta perustuen puhtaiden komponenttien membraanin läpäisystä saatuun mittausaineistoon. Toisaalta mallin ratkaisu vaatii luotettavan ratkaisustrategian, jossa hyötykäytetään kohteesta riippuvaa tietoa. Näitä kysymyksiä havainnollistettiin H2/CO2 seoksen erotuksessa MFI-zeoliitti-membraanilla korkeassa paineessa. Samoin seosten adsorboitumiskäyttäytymistä ennustettiin onnistuneesti pelkästään puhtaiden komponenttien adsorptiodatan pohjalta. Kokonaisuutena voidaan todeta, että tarkasteltujen erotusprosessimallien ennustavuutta voidaan parantaa yhdistämällä malli, jolla on selkeä ilmiöpohja ja luotettava ratkaisustrategia. Lisäksi mallien käytettävyys erotusprosessien suunnittelussa on parantunut työn tulosten pohjalta
Jhothiraman, Jivaan Kishore. "Comprehensive Methods for Contamination Control in UHP Fluids". Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/605112.
Texto completoChouikhi, Najib. "Production de biométhane à partir de biogaz par technologie de séparation par adsorption PSA : optimisation numérique par approche multi-échelle". Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST043.
Texto completoAs global interest in renewable energy intensifies, biogas production continues to grow as a clean, renewable source. Pressure Swing Adsorption (PSA) is considered as one of the most interesting technologies for the valorization of biogas into biomethane. The great flexibility of the PSA process is linked in some way to its complexity with several design and operating parameters which control the performance of the separation unit. The identification of these parameters by an experimental approach is practically impossible. A numerical study stage is essential for sizing the unit, designing the pressure cycle and identifying the optimal operating conditions before any experimental test.The general objective of the thesis was focused on the development of simulation tools for a biomethane purification process using PSA technology.In a first stage, a simulation based on one-dimensional non-isothermal dynamic model, where the intragranular mass transfer kinetics was modelled using a double driving force (bi-LDF) approximation, was implemented. A carbon molecular sieve (CMS-3K) was selected. This adsorbent ensures a high kinetic selectivity of carbon dioxide with respect to methane (CH4). The optimized cycle, composed of five columns and fifteen steps including three equalization steps and a purge gas recycling allowed a CH4 recovery of 92% with a moderate specific energy consumption of 0.35 kWh/Nm3 , at the same time respecting the grid injection specifications (97% CH4 purity ). The performance obtained is thus compatible with industrial operation.The development of a multidimensional (3D) and multi-scale (column/grain/crystal) numerical model would serve to evaluate the limits of the assumptions and correlations used in usual simulators. The first step consists in simulating the gas flow in an adsorbent bed having a reaslistic stacking.. Thus, an inert packed bed was numerically generated by DEM calculation (discrete element modeling) for a column of laboratory size. The use of OpenFOAM (CFD software) allowed to calculate the three-dimensional tracer gas flow in the column. In parallel an experimental study of the breakthrough curves was carried out using a bed having the same dimensions and characteristics. The breakthrough times and the dispersion-diffusion coefficients calculated and measured were similar. However the simulation showed some divergences in the concentration of the tracer locally in the column, due to difficulties in meshing. The next step will consist in taking into account grain-fluid interactions by considering porous adsorbent grains
Giacomini, Mattia. "Pressure Swing Adsorption on Carbon Molecular Sieves for Nitrogen Production: Modelling and Simulation with Aspen Adsorption". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/9800/.
Texto completoMohammed, Fadhil Muhi. "Modelling and design of water treatment processes using adsorption and electrochemical regeneration". Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/modelling-and-design-of-water-treatment-processes-using-adsorption-and-electrochemical-regeneration(204b062d-9269-4638-9697-21e4b18de6b3).html.
Texto completoCapítulos de libros sobre el tema "Adsorption Process Modelling"
Ambrożek, Bogdan. "The Simulation of Cyclic Thermal Swing Adsorption (TSA) Process". En Modelling Dynamics in Processes and Systems, 165–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92203-2_12.
Texto completoNikolaidis, George N., Eustathios S. Kikkinides y Michael C. Georgiadis. "Modelling and Optimization of Pressure Swing Adsorption (PSA) Processes for Post-combustion CO2Capture from Flue Gas". En Process Systems and Materials for CO2Capture, 343–69. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119106418.ch13.
Texto completoKhurshid, Hifsa, Muhammad Raza Ul Mustafa y Yeek-Chia Ho. "Application of Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy (ANFIS) Techniques for the Modelling and Optimization of COD Adsorption Process". En International Conference on Artificial Intelligence for Smart Community, 525–37. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-2183-3_49.
Texto completoTurner, David R., Susan Knox, Francisco Penedo, John G. Titley, John Hamilton-Taylor, Michael Kelly y Geraint L. Williams. "Surface Complexation Modelling of Plutonium Adsorption on Sediments of the Esk Estuary, Cumbria". En Radionuclides in the Study of Marine Processes, 165–74. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3686-0_18.
Texto completoWilliam Kajjumba, George, Serkan Emik, Atakan Öngen, H. Kurtulus Özcan y Serdar Aydın. "Modelling of Adsorption Kinetic Processes—Errors, Theory and Application". En Advanced Sorption Process Applications. IntechOpen, 2019. http://dx.doi.org/10.5772/intechopen.80495.
Texto completoRamadoss, Ramsenthil, Durai Gunasekaran y Dhanasekaran Subramanian. "Removal of Divalent Nickel from Aqueous Solution Using Blue Green Marine Algae: Adsorption Modelling and Applicability of Various Isotherm Models". En Microalgae [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103940.
Texto completoNikolaidis, George N., Eustathios S. Kikkinides y Michael C. Georgiadis. "Modelling and Simulation of Pressure Swing Adsorption (PSA) Processes for post-combustion Carbon Dioxide (CO2) capture from flue gas". En 12th International Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering, 287–92. Elsevier, 2015. http://dx.doi.org/10.1016/b978-0-444-63578-5.50043-8.
Texto completoLopes, Sérgio, Paulo Pinho, Sandra Santos, Nuno Rodrigues, Jorge Raposo y Domingos Xavier Viegas. "Modelling sorption processes of 10-hour dead Pinus pinaster branches". En Advances in Forest Fire Research 2022, 1220–27. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_185.
Texto completoMota, J. P. B., A. J. S. Rodrigo, I. A. A. C. Esteves y M. Rostam-Abadi. "Dynamic modelling of an adsorption storage tank using a hybrid approach combining computational fluid dynamics and process simulation". En Computer Aided Chemical Engineering, 797–802. Elsevier, 2003. http://dx.doi.org/10.1016/s1570-7946(03)80214-6.
Texto completoSilva, Jornandes Dias da y Sérgio Mário Lins Galdino. "Mathematical Modelling for the Storage Process of Hydrogen in a Catalyst (ZSM-5)-Assisted Fixed Bed Reactor: Adsorption and Simulation". En Engenharia química: princípios fundamentais. Editora Conhecimento Livre, 2022. http://dx.doi.org/10.37423/220606136.
Texto completoActas de conferencias sobre el tema "Adsorption Process Modelling"
Asif, Mohammad, Lei Wang, Randy Hazlett y Galymzhan Serikov. "IAST Modelling of Competitive Adsorption, Diffusion and Thermodynamics for CO2-ECBM Process". En SPE EuropEC - Europe Energy Conference featured at the 83rd EAGE Annual Conference & Exhibition. SPE, 2022. http://dx.doi.org/10.2118/209636-ms.
Texto completoSeniūnaitė, Jurgita, Rasa Vaiškūnaitė y Kristina Bazienė. "Mathematical Modelling for Copper and Lead Adsorption on Coffee Grounds". En Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.007.
Texto completoHendraningrat, Luky, Saeed Majidaie, Nor Idah Ketchut, Fraser Skoreyko y Seyed Mousa MousaviMirkalaei. "Advanced Reservoir Simulation: A Novel Robust Modelling of Nanoparticles for Improved Oil Recovery". En SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205927-ms.
Texto completoKhanifar, Ahmad, Benayad Nourreddine, Mohd Razib Bin Abd Raub, Raj Deo Tewari y Mohd Faizal Bin Sedaralit. "Historical Overview and Future Perspective of Chemical EOR Project for Major Malaysian Offshore Oilfield: Case Study". En Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207261-ms.
Texto completoDíez, Kelly, Alonso Ocampo, Alejandro Restrepo, Jonny Patiño, Juan Rayo, Diego Ayala y Luis Rueda. "A Novel Gas Dispersible Foam Technology Can Improve the Efficiency of Gas Injection Processes for IOR-EOR Operations in Unconventional Reservoirs". En SPE Improved Oil Recovery Conference. SPE, 2022. http://dx.doi.org/10.2118/209381-ms.
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