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Variable-gas-density fluidized bed reactor model for catalytic processes
Affiliation:1. Department of Biomedical Engineering, National Cheng Kung University, 1 University Road, Tainan City 701, Taiwan;2. Musculoskeletal Research Center, National Cheng Kung University, 1 University Road, Tainan City 701, Taiwan;3. Department of Occupational Therapy, National Cheng Kung University, 1 University Road, Tainan City 701, Taiwan;4. Department of Orthopedics, National Cheng Kung University Hospital, 138 Sheng Li Road, Tainan City 701, Taiwan;5. Medical Device Innovation Center, National Cheng Kung University, 1 University Road, Tainan City 701, Taiwan;1. Division of Cardiology, Vanderbilt University Medical Center, Nashville Tennessee;2. Department of Surgery, Vanderbilt University Medical Center, Nashville Tennessee;3. Department of Biostatistics, Vanderbilt University Medical Center, Nashville Tennessee;4. Division of Cardiovascular Surgery, Vanderbilt University Medical Center, Nashville Tennessee;5. Division of Cardiovascular Surgery, Mayo Clinic College of Medicine, Rochester, Minnesota;1. Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Università di Roma, via A. Scarpa 16, I–00161, Roma, Italy;2. Institute of Complex Molecular Systems and Faculty of Chemical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands;3. Department of Mathematics and Computer Science, (CASA) Centre for Analysis, Scientific Computing and Applications, Institute for Complex Molecular Systems Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands;4. Indian Institute of Technology Delhi, India
Abstract:A generalized fluidized bed reactor model which covers the three fluidization flow regimes most commonly encountered in industry (bubbling, turbulent and fast fluidization) is proposed. The model is based on probabilistic averaging shown previously (Thompson, Bi, & Grace, Chem. Eng. Sci. 54 (1999) 2175; Grace, Abba, Bi, & Thompson, Can. J. Chem. Eng. 77 (1999) 305) to be applicable over a range of superficial gas velocities. In this paper, we extend the model to cases where the volumetric gas flow changes appreciably due to variations in molar flow, pressure and temperature. For the air-based oxy-chlorination process as a case study, it is shown that the volume change affects both the hydrodynamics and the reactor performance. Because the reactions are rapid, almost complete conversion of ethylene is attained immediately above the distributor resulting in an ∼25% reduction in volumetric flowrate. Using the probabilistic averaging technique, the model tracks the probability of being in the bubbling, turbulent and fast fluidization regimes along the reactor height. The impacts of temperature and pressure variations are also examined. The variable density model gives predictions which compare well with commercial data; ignoring density variations leads to significant underprediction.
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