연구동향 분석
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Computationally efficient simulation and optimization strategies for design of multiphase chemical reactors with complex dynamics

박성언 2020년

논문상세정보
인용/피인용
' Computationally efficient simulation and optimization strategies for design of multiphase chemical reactors with complex dynamics' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • 화학공학과 관련공학
  • Aqueous mineral carbonation
  • Bayesian optimization
  • Bayesian parameter estimation
  • CFD reactor model
  • CFD-based compartmental model
  • Carbon Capture Utilization & Storage
  • Optimal reactor design
  • Reactor modeling
  • reactor
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
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' Computationally efficient simulation and optimization strategies for design of multiphase chemical reactors with complex dynamics' 의 참고문헌

  • [99] P. V. Danckwerts, "The absorption of carbon dioxide into solutions of alkalis and amines (with some notes on hydrogen sulfide and carbonyl sulfide)," The Chemical Engineer, pp. 244-280, 1966.
  • [97] A. Cents, D. W. F. Brilman, and G. Versteeg, "CO2 absorption in carbonate/bicarbonate solutions: The Danckwerts-criterion revisited," Chemical Engineering Science, vol. 60, pp. 5830-5835, 2005.
  • [96] M. Eigen, "Methods for investigation of ionic reactions in aqueous solutions with half-times as short as 10–9 sec. Application to neutralization and hydrolysis reactions," Discussions of the Faraday Society, vol. 17, pp. 194-205, 1954.
  • [94] R. Pohorecki and W. d. w. Moniuk, "Kinetics of reaction between carbon dioxide and hydroxyl ions in aqueous electrolyte solutions," Chemical Engineering Science, vol. 43, pp. 1677-1684, 1988.
  • [93] H. Wiechers, P. Sturrock, and G. Marais, "Calcium carbonate crystallization kinetics," Water Research, vol. 9, pp. 835-845, 1975.
  • [92] K. Johannsen and S. Rademacher, "Modelling the kinetics of calcium hydroxide dissolution in water," Acta hydrochimica et hydrobiologica, vol. 27, pp. 72-78, 1999.
  • [91] S. Weisenberger and d. A. Schumpe, "Estimation of gas solubilities in salt solutions at temperatures from 273 K to 363 K," AIChE Journal, vol. 42, pp. 298-300, 1996.
  • [90] G. F. Versteeg and W. P. Van Swaaij, "Solubility and diffusivity of acid gases (carbon dioxide, nitrous oxide) in aqueous alkanolamine solutions," Journal of Chemical & Engineering Data, vol. 33, pp. 29- 34, 1988.
  • [88] K. R. Westerterp, W. Van Swaaij, A. Beenackers, and H. Kramers, "Chemical reactor design and operation," 1984.
  • [87] G. Ratcliff and J. Holdcroft, "Diffusivities of gases in aqueous electrolyte solutions," Trans. Inst. Chem. Eng, vol. 41, pp. 315-319, 1963.
  • [86] H. Brauer, "Particle/fluid transport processes," Prog. Chem. Eng., vol. 19, pp. 61-99, 1981.
  • [73] The Asia Business Daily internet news. http://www.asiae.co.kr/news/view.htm?idxno=2015070916592973869, (accessed July 2018).
  • [72] Chosun Biz internet news. http://biz.chosun.com/site/data/html\_dir/2017/06/26/2017062600894. html (accessed July 2018).
  • [71] Cleantech Group. https://www.cleantech.com/between-a-rock-andhard-place-commercializing-co2-through-mineralization/, (accessed July 2018).
  • [70] Calera Corporation. http://www.calera.com/beneficial-reuse-ofco2/scale-up.html (accessed July 2018).
  • [69] Futurism. https://futurism.com/revolutionary-carbon-capture-methodmakes-building-materials-out-of-emissions/ (accessed July 2018).
  • [68] Orica. http://www.orica.com/ (accessed July 2018).
  • [67] E. Rubin and H. De Coninck, "IPCC special report on carbon dioxide capture and storage," UK: Cambridge University Press. TNO (2004): Cost Curves for CO2 Storage, Part, vol. 2, p. 14, 2005.
  • [51] E. Rigoni and A. Turco, "Metamodels for Fast Multi-objective Optimization: Trading Off Global Exploration and Local Exploitation," in SEAL, 2010, pp. 523-532.
  • [46] L. Dumas, B. Druez, and N. Lecerf, "A fully adaptive hybrid optimization of aircraft engine blades,Journal ofComputational and Applied Mathematics, vol. 232, pp. 54-60, 2009.
    vol . 232 , pp . 54-60 [2009]
  • [45] K. Deb and T. Goel, "A hybrid multi-objective evolutionary approach to engineering shape design," in International conference on evolutionary multi-criterion optimization, 2001, pp. 385-399.
  • [3] A. G. Dixon and M. Nijemeisland, "CFD as a design tool for fixed-bed reactors," Industrial & Engineering Chemistry Research, vol. 40, pp. 5246-5254, 2001.
  • [36] M. Abbasi and A. Gholami, "Polynomial chaos expansion for nonlinear geophysical inverse problems," Geophysics, vol. 82, pp. R259-R268, 2017.
  • [31] J. H. Bak and J. W. Pillow, "Adaptive stimulus selection for multialternative psychometric functions with lapses," Journal of vision, vol. 18, pp. 4-4, 2018.
  • [30] M. C. Coleman and D. E. Block, "Bayesian parameter estimation with informative priors for nonlinear systems," AIChE journal, vol. 52, pp. 651-667, 2006.
  • [26] X. Huan and Y. M. Marzouk, "Simulation-based optimal Bayesian experimental design for nonlinear systems," Journal of Computational Physics, vol. 232, pp. 288-317, 2013.
  • [25] J. A. Paulson and A. Mesbah, "An efficient method for stochastic optimal control with joint chance constraints for nonlinear systems," International Journal of Robust and Nonlinear Control, vol. 29, pp. 5017-5037, 2019.
  • [24] A. Mesbah, "Stochastic model predictive control with active uncertainty learning: A survey on dual control," Annual Reviews in Control, vol. 45, pp. 107-117, 2018.
  • [23] H. N. Najm, "nncertainty quantification and polynomial chaos techniques in computational fluid dynamics," Annual review of fluid mechanics, vol. 41, pp. 35-52, 2009.
  • [19] F. Bezzo, S. Macchietto, and C. Pantelides, "General hybrid multizonal/CFD approach for bioreactor modeling," AIChE Journal, vol. 49, pp. 2133-2148, 2003.
  • [119] M. Ishii and N. Zuber, "Drag coefficient and relative velocity in bubbly, droplet or particulate flows," AIChE Journal, vol. 25, pp. 843-855, 1979.
  • [118] M. Ljungqvist and A. Rasmuson, "Numerical simulation of the twophase flow in an axially stirred vessel," Chemical Engineering Research and Design, vol. 79, pp. 533-546, 2001.
  • [114] J. Svenson and T. Santner, "Multiobjective optimization of expensiveto-evaluate deterministic computer simulator models," Computational Statistics & Data Analysis, vol. 94, pp. 250-264, 2016.
  • [111] J. Mockus, Bayesian approach to global optimization: theory and applications vol. 37: Springer Science & Business Media, 2012.
  • [107] D. E. Finkel and C. Kelley, "Convergence analysis of the DIRECT algorithm," Optimization Online, vol. 14, pp. 1-10, 2004.
  • [103] G. E. Box, W. G. Hunter, and J. S. Hunter, "Statistics for experimenters," 1978.
  • [102] G. E. Box and N. R. Draper, Empirical model-building and response surfaces: John Wiley & Sons, 1987.
  • [101] A. Atkinson, A. Donev, and R. Tobias, Optimum experimental designs, with SAS vol. 34: Oxford nniversity Press, 2007.
    [2007]
  • [100] L. N. Plummer and E. Busenberg, "The solubilities of calcite, aragonite and vaterite in CO2-H2O solutions between 0 and 90 C, and an evaluation of the aqueous model for the system CaCO3-CO2-H2O," Geochimica et cosmochimica acta, vol. 46, pp. 1011-1040, 1982.
  • Waste oil shale ash as a novel source of calcium for precipitated calcium carbonate : Carbonation mechanism , modeling , and product characterization
    vol . 195 , pp . 139-146 [2011]
  • Vapor‐liquid equilibria in multicomponent aqueous solutions of volatile weak electrolytes
    vol . 24 , pp . 966-976 [1978]
  • V. A. Atiemo-Obeng , and S. M. Kresta ,
    [2004]
  • Two-phase mass transfer coefficient prediction in stirred vessel with a CFD model
    vol . 32 , pp . 1943-1955 [2008]
  • Two-dimensional high-lift aerodynamic optimization using the continuous adjoint method
    vol . 4741 , [2000]
  • Taking the human out of the loop : A review of bayesian optimization
    vol . 104 , pp . 148-175 [2016]
  • Surrogate-assisted evolutionary optimization frameworks for high-fidelity engineering design problems , in Knowledge Incorporation in Evolutionary Computation
    pp . 307-331 . [2005]
  • SnNDIALS : Suite of nonlinear and differential/algebraic equation solvers , ACM Transactions on Mathematical Software ( TOMS )
    vol . 31 , pp . 363-396 [2005]
  • Sequential experimental design strategy for optimal batch profiles using hybrid function approximations
    vol . 43 , pp . 5260-5274 [2004]
  • Segmentation of ultrasound B-mode images with intensity inhomogeneityCorrection ,
    vol . 21 , pp . 48-57 [2002]
  • STK : a Small ( Matlab/Octave ) Toolbox for Kriging
    Available : http : //kriging.sourceforge.net [2017]
  • Reactive Precipitation in GasSlurry Systems : TheCO2−Ca ( OH ) 2−CaCO3 System
    vol . 46 , pp . 3170-3179 [2007]
  • Rapid Bayesian optimisation for synthesis of short polymer fiber materials
    vol . 7 , p. 5683 [2017]
  • Probabilistic machine learning and artificial intelligence
    vol . 521 , pp . 452-459 [2015]
  • Practical bayesian optimization of machine learning algorithms ,
    pp . 2951-2959 . [2012]
  • Performance of different optimization concepts for reactive flow systems based on combined CFD and response surface methods
    vol . 108 , pp . 232-239 [2018]
  • Optimized design of an electrochemical filter-press reactor using CFD methods
    vol . 169 , pp . 270-281 [2011]
  • Optimization of Reaction Selectivity nsing CFD-Based Compartmental Modeling and Surrogate-Based Optimization
    vol . 7 , p. 9 , [2019]
  • Optimization of DualImpeller Configurations in a Gas–Liquid Stirred Tank Based on Computational Fluid Dynamics and Multiobjective Evolutionary Algorithm
    vol . 55 , pp . 9054-9063 [2016]
  • Optimal design of metal hydride reactors based on CFD–Taguchi combined method
    vol . 65 , pp . 322-330 [2013]
  • Numerical modelling of gas– liquid flow in stirred tanks
    vol . 60 , pp . 2203-2214 [2005]
  • Numerical modeling of hydrodynamics , mass transfer and chemical reaction in bubble Columns
  • Numerical modeling of hydrodynamics , mass transfer and chemical reaction in bubble Columns
    [2007]
  • Multiscale modeling of an amine sorbent fluidized bed adsorber with dynamic discrepancy reduced modeling ,
    vol . 2 , pp . 550-560 [2017]
  • Multi-task bayesian optimization
    pp . 2004-2012 . [2013]
  • Multi-objective optimization of microchannel reactor for Fischer-Tropsch synthesis using computational fluid dynamics and genetic algorithm
    vol . 313 , pp . 1521-1534 [2017]
  • Modeling and validation of a pilot-scale aqueous mineral carbonation reactor for carbon capture using computational fluid dynamics
    vol . 177 , pp . 301-312 [2018]
  • Learning to love CO2
    vol . 93 , pp . 10-16 [2015]
  • Large eddy simulation of the gas–liquid flow in a square cross-sectioned bubble column
    vol . 56 , pp . 6341-6349 [2001]
  • K. A. Cliffe , and M. M. Maroto-Valer , A model of carbon dioxide dissolution and mineral carbonation kinetics
    vol . 466 , pp . 1265-1290 [2009]
  • Iterative improvement of Bayesian parameter estimates for an engine model by means of experimental design
    vol . 159 , pp . 1303-1313 [2012]
  • Integrated and innovative steel slag utilization for iron reclamation , green material production and CO2 fixation via accelerated carbonation
    vol . 137 , pp . 617-631 [2016]
  • Hypothesis-driven compartment model for stirred bioreactors utilizing computational fluid dynamics and multiple pH sensors
    vol . 356 , pp . 161-169 [2019]
  • Hybridization of a multi-objective genetic algorithm , a neural network and a classical optimizer for a complex design problem in fluid dynamics , Computer Methods in Applied Mechanics and Engineering
    vol . 186 , pp . 403-420 [2000]
  • Hybrid method for aerodynamic shape optimization in automotive industry
    vol . 33 , pp . 849-858 [2004]
  • Gas–liquid flow generated by a Rushton turbine in stirred vessel : CARPT/CT measurements and CFD simulations
    vol . 60 , pp . 2215-2229 [2005]
  • Experimental and modelling study of gas dispersion in a double turbine stirred tank
    vol . 57 , pp . 487-496 [2002]
  • Equation of State Calculations by Fast Computing Machines
    vol . 21 , pp . 1087-1092 [1953]
  • Efficient global optimization of expensive black-box functions
    vol . 13 , pp . 455-492 [1998]
  • Development of a compartment model based on CFD simulations for description of mixing in bioreactors
    vol . 14 , pp . 517-522 [2010]
  • Computational study of the effects of process parameters on the product distribution for mixing sensitive reactions and on distribution of gas in stirred tank reactors
    pp . 15-43 [2000]
  • Computational fluid dynamics based optimal design of guiding channel geometry in n-type coolant layer manifold of large-scale microchannel Fischer–Tropsch reactor
    vol . 55 , pp . 505-515 [2016]
  • Compartmental models for continuous flow reactors derived from CFD simulations
    vol . 43 , pp . 2381-2387 [2009]
  • Compartment model approach : Mixing in large scale aerated reactors with multiple impellers
    vol . 77 , pp . 291-302 [1999]
  • Comparison of three methods for selecting values of input variables in the analysis of output from a computer code
    vol . 21 , pp . 239-245 [1979]
  • Closing the loop : Captured CO 2 as a feedstock in the chemical industry ,
    vol . 8 , pp . 3283-3297 [2015]
  • Carbon fixation using calcium oxide by an aqueous approach at moderate conditions
    vol . 248 , pp . 200-207 [2014]
  • Carbon capture and utilization using industrial wastewater under ambient conditions
    vol . 308 , pp . 1073-1080 [2017]
  • Carbon capture and storage ( CCS ) : the way forward
    vol . 11 , pp . 1062-1176 [2018]
  • CMA : integration of fluid dynamics and microbial kinetics in modelling of large-scale fermentations
    vol . 84 , pp . 463-474 [2001]
  • CFD-based multi-objective optimization of a quench reactor design
    vol . 149 , pp . 290-304 [2016]
  • CFD simulation of liquid-phase mixing in solid–liquid stirred reactor
    vol . 63 , pp . 3877-3885 [2008]
  • CFD optimization of continuous stirred-tank ( CSTR ) reactor for biohydrogen production
    vol . 101 , pp . 7005-7013 [2010]
  • CFD models for methanol synthesis three-phase reactors : reactor optimization
    vol . 93 , pp . 103-112 [2003]
  • CFD modeling of gas dispersion and bubble size in a double turbine stirred tank
    vol . 61 , pp . 3313-3322 [2006]
  • C. D. Perttunen , and B. E. Stuckman , Lipschitzian optimization without the Lipschitz constant , Journal of optimization Theory and Applications
    vol . 79 , pp . 157-181 [1993]
  • Benchmarking Multi-Objective Bayesian Global Optimization Strategies for Aerodynamic Design , in 2018 AIAA/ASCE/AHS/ASC Structures
    p. 0914 [2018]
  • Bayesian parameter estimation for a jet-milling model using Metropolis–Hastings and Wang–Landau sampling
    vol . 89 , pp . 244-257 [2013]
  • Bayesian optimization with unknown constraints ,
    [2014]
  • Bayesian methods for cosmological parameter estimation from cosmic microwave background measurements
    vol . 18 , p. 2677 [2001]
  • Bayesian inference of aqueous mineral carbonation kinetics for carbon capture and utilization
    [2019]
  • Bayesian Treed Calibration : an application to carbon capture with AX sorbent ,
    vol . 112 , pp . 37-53 [2017]
  • B. M. Merrick , and T. J. Brazil , Multiobjective Bayesian optimization for active load modulation in a broadband 20-W GaN Doherty power amplifier design
    vol . 65 , pp . 860-871 [2017]
  • Application of the compartmental model to the gas–liquid precipitation of CO2‐Ca ( OH ) 2 aqueous system in a stirred tank
    vol . 63 , pp . 378-386 [2017]
  • An introduction to the adjoint approach to design
    vol . 65 , pp . 393-415 [2000]
  • Aerodynamic shape optimization of complete aircraft configurations using unstructured grids
    p. 533 [2004]
  • Absorption of carbon dioxide into aqueous sodium hydroxide and sodium carbonate-bicarbonate solutions
    vol . 11 , pp . 131-141 [1976]
  • A tutorial on Bayesian optimization of expensive cost functions , with application to active user modeling and hierarchical reinforcement learning
    [2010]
  • A three-dimensional CFD model for gas–liquid bubble columns
    vol . 54 , pp . 2217-2226 [1999]
  • A study of natural gas/DME combustion in HCCI engines using CFD with detailed chemical kinetics
    vol . 86 , pp . 1483- 1489 [2007]
  • A review of mineral carbonation technologies to sequester CO 2
    vol . 43 , pp . 8049-8080 [2014]
  • A non-intrusive polynomial chaos method for uncertainty propagation in CFD simulations
    p. 891 [2006]
  • A networks-of-zones analysis of mixing and mass transfer in three industrial bioreactors
    vol . 56 , pp . 485- 492 , [2001]
  • A multicriteria generalization of bayesian global optimization , in Advances in Stochastic and Deterministic Global Optimization
    pp . 229-242 . [2016]
  • A modified DIRECT algorithm for hidden constraints in an LNG process optimization
    vol . 126 , pp . 488- 500 , [2017]
  • A general framework for the assessment of solar fuel technologies
    vol . 8 , pp . 126-157 [2015]
  • A fast and elitist multiobjective genetic algorithm : NSGA-II ,
    vol . 6 , pp . 182-197 [2002]
  • A critical comparison between CFD and zone models for the consequence analysis of fires in congested environments
    vol . 36 [2014]
  • A computational model for the gasliquid flow in stirred reactors
    vol . 72 , pp . 594-606 [1994]
  • A Bayesian optimization approach for wind farm power maximization
  • A Bayesian approach to constrained single-and multi-objective optimization
    vol . 67 , pp . 97-133 [2017]