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Journal articles on the topic 'Chemical process simulation'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Li, Fanxing, Liang Zeng, and Liang-Shih Fan. "Biomass direct chemical looping process: Process simulation." Fuel 89, no. 12 (2010): 3773–84. http://dx.doi.org/10.1016/j.fuel.2010.07.018.

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2

Nayak, Priyam, Pravin Dalve, Rahul Anandi Sai, et al. "Chemical Process Simulation Using OpenModelica." Industrial & Engineering Chemistry Research 58, no. 26 (2019): 11164–74. http://dx.doi.org/10.1021/acs.iecr.9b00104.

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3

Lucia, Angelo, and Delong Liu. "Reverse Iteration in Chemical Process Simulation." Industrial & Engineering Chemistry Research 37, no. 11 (1998): 4332–40. http://dx.doi.org/10.1021/ie9802764.

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4

De Tommaso, Jacopo, Francesco Rossi, Nooshin Moradi, Carlo Pirola, Gregory S. Patience, and Federico Galli. "Experimental methods in chemical engineering: Process simulation." Canadian Journal of Chemical Engineering 98, no. 11 (2020): 2301–20. http://dx.doi.org/10.1002/cjce.23857.

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5

Aviso, Kathleen B. "Dominic Foo (ed.): Chemical Engineering Process Simulation." Process Integration and Optimization for Sustainability 2, no. 4 (2018): 301. http://dx.doi.org/10.1007/s41660-018-0056-z.

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6

Linnhoff, B., and C. G. Akinradewo. "Linking process simulation and process integration." Computers & Chemical Engineering 23 (June 1999): S945—S953. http://dx.doi.org/10.1016/s0098-1354(99)80229-4.

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7

Hansen, Jens A., and Barry H. Cooper. "Process simulation of refinery units including chemical reactors." Computers & Chemical Engineering 16 (May 1992): S431—S439. http://dx.doi.org/10.1016/s0098-1354(09)80051-3.

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8

YUAN, Xigang, and Guocong YU. "Computational Mass Transfer Method for Chemical Process Simulation." Chinese Journal of Chemical Engineering 16, no. 4 (2008): 497–502. http://dx.doi.org/10.1016/s1004-9541(08)60113-5.

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9

ZHANG, Beike, Xin XU, Xin MA, and Chongguang WU. "SDG-based Model Validation in Chemical Process Simulation." Chinese Journal of Chemical Engineering 21, no. 8 (2013): 876–85. http://dx.doi.org/10.1016/s1004-9541(13)60554-6.

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10

Takriff, M. S., N. H. Mansor, and S. K. Kamarudin. "Review: Integrating Optimization Module into Chemical Process Simulation." Journal of Applied Sciences 10, no. 21 (2010): 2493–98. http://dx.doi.org/10.3923/jas.2010.2493.2498.

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11

Casavant, Tracy E., and Raymond P. Côté. "Using chemical process simulation to design industrial ecosystems." Journal of Cleaner Production 12, no. 8-10 (2004): 901–8. http://dx.doi.org/10.1016/j.jclepro.2004.02.034.

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12

Stephenson, G. R., and C. F. Shewchuk. "Reconciliation of process data with process simulation." AIChE Journal 32, no. 2 (1986): 247–54. http://dx.doi.org/10.1002/aic.690320211.

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13

Neubauer, Dean V. "Chemical Process Performance Evaluation." Technometrics 50, no. 1 (2008): 95–96. http://dx.doi.org/10.1198/tech.2008.s539.

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14

Nasrollahi, A., S. A. A. Salehi Neyshabouri, G. Ahmadi, and M. M. Namin. "Numerical Simulation of Particle Saltation Process." Particulate Science and Technology 26, no. 6 (2008): 529–50. http://dx.doi.org/10.1080/02726350802498723.

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15

Gao, Dong, Xin Xu, and Xin Ma. "A General Automatic Scoring Framework for Chemical Simulation Process." Information Technology Journal 12, no. 14 (2013): 2621–27. http://dx.doi.org/10.3923/itj.2013.2621.2627.

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16

Corriou, Jean-Pierre, and Jean-Claude Assaf. "Special Issue on “Chemical Process Design, Simulation and Optimization”." Processes 8, no. 12 (2020): 1596. http://dx.doi.org/10.3390/pr8121596.

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17

Yun, Jong-Ho, and Shi-Woo Rhee. "Feature scale simulation of selective chemical vapor deposition process." Thin Solid Films 339, no. 1-2 (1999): 270–76. http://dx.doi.org/10.1016/s0040-6090(98)01405-9.

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18

Oyeleye, Olayiwola O., and Mark A. Kramer. "Qualitative simulation of chemical process systems: Steady-state analysis." AIChE Journal 34, no. 9 (1988): 1441–54. http://dx.doi.org/10.1002/aic.690340906.

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19

Schöneberger, J. C., A. Fricke, and A. Wolna. "Process Simulation Cup 2018." Chemie Ingenieur Technik 90, no. 9 (2018): 1245. http://dx.doi.org/10.1002/cite.201855250.

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20

Bodnár, István. "Simulation of acacia gasification process." Analecta Technica Szegedinensia 14, no. 1 (2020): 24–33. http://dx.doi.org/10.14232/analecta.2020.1.24-33.

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This electronic document presents the thermokinetical modelling of the gasification process done on acacia-tree with variable operating conditions and different humidity levels. Gasification does not produce flue gas, but due to imperfect burning, synthesis gas appears which is rich in flammable components (CO2 and H2). The chemical structure of this gas depends on the components of the fuel and the humidity level, but greatly affected by the technological parameters too, such as pressure and temperature, as well as the air-ratio. The study shows the change in the amount of the fuel and the re

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21

Ko, G. H., M. M. Osias, D. A. Tremblay, M. D. Barrera, and C. C. Chen. "Process simulation in polymer manufacturing." Computers & Chemical Engineering 16 (May 1992): S481—S490. http://dx.doi.org/10.1016/s0098-1354(09)80057-4.

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22

Bury, S. J., C. K. Groot, C. Huth, and N. Hardt. "Dynamic simulation of chemical industry wastewater treatment plants." Water Science and Technology 45, no. 4-5 (2002): 355–63. http://dx.doi.org/10.2166/wst.2002.0623.

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High variability, stringent effluent permits, and often extreme operating conditions define the practice of wastewater treatment in the chemical industry. This paper reviews the benefits and challenges of applying dynamic simulation to chemical-industry wastewater treatment plants by describing case studies at full-scale wastewater treatment plants (WWTP). The applications range from process troubleshooting to optimization and control. The applications have been valuable and useful in developing a deeper understanding of the plants as integrated systems. However there still remains substantial

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23

Sekher, Malik, Mohammed M'Saad, Mondher Farza, and O. Gehan. "Chemical process sliding mode control." International Journal of Modelling, Identification and Control 5, no. 4 (2008): 260. http://dx.doi.org/10.1504/ijmic.2008.023510.

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24

PICHAICHANARONG, P., R. M. SPOTNITZ, R. P. KREH, S. M. GOLDFARB, and J. T. LUNDQUIST. "SIMULATION OF A MEDIATED ELECTROCHEMICAL PROCESS." Chemical Engineering Communications 94, no. 1 (1990): 119–30. http://dx.doi.org/10.1080/00986449008911459.

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25

Shiojima, Takeo, Hiroaki Endoh, and Shigeru Matsumoto. "Numerical simulation of catalytic reforming process." KAGAKU KOGAKU RONBUNSHU 14, no. 2 (1988): 141–46. http://dx.doi.org/10.1252/kakoronbunshu.14.141.

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26

Montagna, Jorge Marcelo. "Problem-oriented modules for process simulation. resolution strategies for simulation and optimization." Canadian Journal of Chemical Engineering 71, no. 4 (1993): 634–41. http://dx.doi.org/10.1002/cjce.5450710416.

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27

Bridgeman, J. "Hydrodynamic and Physico-Chemical Process Simulation in the Water Industry." Computational Technology Reviews 4 (September 14, 2010): 33–63. http://dx.doi.org/10.4203/ctr.4.2.

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28

Rudniak, L. "Numerical simulation of chemical vapour deposition process in electric field." Computers & Chemical Engineering 22 (March 1998): S755—S758. http://dx.doi.org/10.1016/s0098-1354(98)00141-0.

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29

Lucia, Angelo. "Complex Domain Chemical Process Simulation in Theory and in Practice†." Industrial & Engineering Chemistry Research 39, no. 6 (2000): 1713–22. http://dx.doi.org/10.1021/ie990655c.

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30

Elliott, J. Richard, Z. Nevin Gerek, and Neil Gray. "Combining molecular dynamics and chemical process simulation: the SPEAD model." Asia-Pacific Journal of Chemical Engineering 2, no. 4 (2007): 257–71. http://dx.doi.org/10.1002/apj.17.

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31

Li, Xiaobo, Shuhong Wu, Jie Song, Hua Li, and Shuping Wang. "Numerical simulation of pore-scale flow in chemical flooding process." Theoretical and Applied Mechanics Letters 1, no. 2 (2011): 022008. http://dx.doi.org/10.1063/2.1102208.

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32

Rodrigues, Alirio E., and Mirjana Minceva. "Modelling and simulation in chemical engineering: Tools for process innovation." Computers & Chemical Engineering 29, no. 6 (2005): 1167–83. http://dx.doi.org/10.1016/j.compchemeng.2005.02.029.

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33

Chen, C. C. "Some recent developments in process simulation for reactive chemical systems." Pure and Applied Chemistry 59, no. 9 (1987): 1177–88. http://dx.doi.org/10.1351/pac198759091177.

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34

Lee, J. G., and T. Won. "Three-dimensional numerical simulation for anisotropic wet chemical etching process." Molecular Simulation 33, no. 7 (2007): 593–97. http://dx.doi.org/10.1080/08927020601067508.

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35

Ponton, J. W., and V. Vasek. "A two-level approach to chemical plant and process simulation." Computers & Chemical Engineering 10, no. 3 (1986): 277–86. http://dx.doi.org/10.1016/0098-1354(86)85009-8.

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36

Cofer, H. N., and M. A. Stadtherr. "Reliability of iterative linear equation solvers in chemical process simulation." Computers & Chemical Engineering 20, no. 9 (1996): 1123–32. http://dx.doi.org/10.1016/0098-1354(95)00074-7.

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37

Zitney, S. E., J. Mallya, T. A. Davis, and M. A. Stad therr. "Multifrontal vs frontal techniques for chemical process simulation on supercomputers." Computers & Chemical Engineering 20, no. 6-7 (1996): 641–46. http://dx.doi.org/10.1016/0098-1354(95)00198-0.

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38

Cardoso, Marcelo, Kátia Dionísio de Oliveira, George Alberto Avelar Costa, and Maria Laura Passos. "Chemical process simulation for minimizing energy consumption in pulp mills." Applied Energy 86, no. 1 (2009): 45–51. http://dx.doi.org/10.1016/j.apenergy.2008.03.021.

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39

Mohammed Hafiz, O. K., and Anugrah Singh. "CFD simulation of laser enhanced modified chemical vapor deposition process." Chemical Engineering Research and Design 89, no. 6 (2011): 593–602. http://dx.doi.org/10.1016/j.cherd.2010.09.005.

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40

Shuai, Wang, Yang Yunchao, Lu Huilin, Wang Jiaxing, Xu Pengfei, and Liu Guodong. "Hydrodynamic simulation of fuel-reactor in chemical looping combustion process." Chemical Engineering Research and Design 89, no. 9 (2011): 1501–10. http://dx.doi.org/10.1016/j.cherd.2010.11.002.

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41

Zhang, Jiang-Hua, Hai-Yue Liu, Rui Zhu, and Yang Liu. "Emergency Evacuation of Hazardous Chemical Accidents Based on Diffusion Simulation." Complexity 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/4927649.

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The recent rapid development of information technology, such as sensing technology, communications technology, and database, allows us to use simulation experiments for analyzing serious accidents caused by hazardous chemicals. Due to the toxicity and diffusion of hazardous chemicals, these accidents often lead to not only severe consequences and economic losses, but also traffic jams at the same time. Emergency evacuation after hazardous chemical accidents is an effective means to reduce the loss of life and property and to smoothly resume the transport network as soon as possible. This paper

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42

Lucia, Angelo, and Delong Liu. "More process simulation in singular regions." Computers & Chemical Engineering 23 (June 1999): S367—S370. http://dx.doi.org/10.1016/s0098-1354(99)80090-8.

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43

Lucia, Angelo, Xinzhou Guo, and Xiaofeng Wang. "Process simulation in the complex domain." AIChE Journal 39, no. 3 (1993): 461–70. http://dx.doi.org/10.1002/aic.690390309.

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44

Banks, P. S., K. A. Irons, and M. R. Woodman. "Interoperability of Process Simulation Software." Oil & Gas Science and Technology 60, no. 4 (2005): 607–16. http://dx.doi.org/10.2516/ogst:2005043.

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45

Zhang, Junkai, Zhongqi Liu, Zengzhi Du, and Jianhong Wang. "A Parallel Processing Approach to Dynamic Simulation of Ethylbenzene Process." Processes 9, no. 8 (2021): 1386. http://dx.doi.org/10.3390/pr9081386.

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Parallel computing has been developed for many years in chemical process simulation. However, existing research on parallel computing in dynamic simulation cannot take full advantage of computer performance. More and more applications of data-driven methods and increasing complexity in chemical processes need faster dynamic simulators. In this research, we discuss the upper limit of speed-up for dynamic simulation of the chemical process. Then we design a parallel program considering the process model solving sequence and rewrite the General dynamic simulation & optimization system (DSO) w

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46

Debbaut, B. "Rheology: from process to simulation." Plastics, Rubber and Composites 37, no. 2-4 (2008): 166–73. http://dx.doi.org/10.1179/174328908x283357.

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47

Alshekhli, Omar, Dominic C. Y. Foo, Ching Lik Hii, and Chung Lim Law. "Process simulation and debottlenecking for an industrial cocoa manufacturing process." Food and Bioproducts Processing 89, no. 4 (2011): 528–36. http://dx.doi.org/10.1016/j.fbp.2010.09.013.

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48

Forgie, D. J. L., and P. T. Kerc. "Automatic Control of Supplemental Chemical Addition for Primary Treatment Enhancement." Water Quality Research Journal 22, no. 2 (1987): 211–26. http://dx.doi.org/10.2166/wqrj.1987.016.

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Abstract Chemical coagulation can be used to improve the efficiency of a primary wastewater treatment plant. Using statistical and fuzzy mathematical techniques, models of this process were developed from data gathered at a plant which was using liquid alum and a polymeric coagulant aid to reduce its primary effluent strength. Mathematical simulation of on-line process control using these models and fixed and variable chemical feed rate regimes were conducted using “typical day” influent strength and flow rate data. The results of these simulations show that on-line process control with a vari

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49

An, Lisha, Zhe Yang, Yingwen Liu, and Gao Bo. "Numerical simulation of polysilicon deposition characteristics in chemical vapor deposition process." Thermal Science 22, Suppl. 2 (2018): 719–27. http://dx.doi.org/10.2298/tsci171009057a.

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This paper addresses the complex component evolution and silicon dynamic deposition characteristics in the traditional Siemens reactor. A two-dimensional heat and mass transfer model coupled with a detailed chemical reaction mechanism was developed. The distributions of temperature, velocity, and concentration are presented in detail. The influencing factors (such as feeding mole ratio, inlet velocity, base temperature and reactor pressure) on the molar concentration evolutions of ten major components and silicon growth rate were obtained and analyzed. Results show that base temperature is mai

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50

Wang zhaorui, Wang shujuan, and Cheng guiru. "The Study on Chemical Process Simulation System using Computer Aided Engineering." Journal of Convergence Information Technology 7, no. 16 (2012): 451–58. http://dx.doi.org/10.4156/jcit.vol7.issue16.55.

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