臺灣博碩士論文加值系統

本研究我們採用鑑別之物裡模式和混合模式來計算批式反應安全操作路徑。在已知反應動力參數或未知反應動力參數兩種條件下皆可求出熱安全操作路徑。在10公升的傳統式批式反應器內以不加硫酸和加硫酸為觸媒的醋酸酐水解之高放熱反應進行上述安全操作路俓之可行性。實驗證明所提出安全操作路徑之通用性。而在工業應用上，特別推薦採用混合模式來求取批式反應安全操作路徑。

In this work, we proposed the way to determine safe operation trajectories based on the identified physical and identified hybrid model. Operational temperature trajectories were calculated to meet the thermally safe operation criterion in case of known or unknown reaction kinetics. The proposed method was examined in a 10-L conventional batch reactor in which a highly exothermic hydrolysis reaction of the acetic anhydride occurred with or without sulfuric acid as catalyst. Experimental demonstrations were successful, and the suggested approach can be applied in the industrial conditions especially the hybrid model approach.

ACKNOWLEDGMENTS iii
ABSTRACT iv
中文摘要 v
TABLE OF CONTENTS vi
LIST OF TABLES ix
LIST OF FIGURES x
NOMENCLATURE xiii
1. Introduction 1
2. Reaction AND Process 4
2.1 The Reaction System 6
2.1.1 Raw materials 6
2.2 The Batch Reactor System 7
3. A Safe Operation Path for a Conventional Batch Reactor 9
3.1 Model equation for the Batch Reactor 10
3.1.1 Temperature Trajectory Tracking by a Conventional PI Controller 11
3.2 Determination of A Safe Operation Path 12
3.3 Parameter estimation for the batch reactor system 13
3.3.1 Determination of the wall weight of the batch reactor 16
3.3.2 Estimation of heat of reaction 17
3.4 Estimation of heat of reaction 20
3.5 Identified hybrid model 23
3.5.1 Identification of the history of reaction heat generated adiabatically via RNNs 24
3.5.2 Determine the history of reaction heat 24
3.6 A safe operation path based on the identified hybrid model 29
3.6.1 A safe operation path for hydrolysis reaction of acetic anhydride without catalyst 29
3.6.2 A safe operation path for hydrolysis reaction of acetic anhydride with 1﹪sulfuric acid as catalyst 32
3.6.3 A safe operation path for hydrolysis reaction of acetic anhydride with 2﹪sulfuric acid as catalyst 37
4. Experiment 41
4.1 Hydrolysis reaction of acetic anhydride without catalyst 41
4.2 Sulfuric acid catalyzed hydrolysis reaction of acetic anhydride 45
5. Conclusions 50
REFERENCES 51
APPENDIX: Recurrent Neural Networks (RNNs) 53
個人資料 57

Bhat, N.; McAvoy, T. J. Use of Neural Nets for Dynamic Modeling and Control of Chemical Process Systems. Comput. Chem. Engng. 1990, 14, 573.
Chang, J. S.; Chung, S. T. On-Line Set-Point Optimization and Control of a Batch Ploymerization Reactor. J. Chin. Inst. Chem. Engrs. 1995, 26, 213.
Chang, J. S.; Hsu, J. S.; Sung, Y. T. Trajectory Tracking of an Optimizing Path in a Batch Reactor︰Experimental study. Ind. Eng. Chem. Res. 1996, 35, 2247.
Galvàn, I. M.; Zaldivar, J. M.; Hernandez, H. Molga, E. The Use of Neural Networks for Fitting Complex Kinetic Data. Comput. Chem. Engng. 1996, 20, 1451.
Hornik, K.; Stinchcombe, M.; White, H. Multilayer Feedforward Networks are Universal Approximators. Neural Networks 1989, 2, 359.
Jutan, A.; Rodriguez, E. S. II. Application of Parametric Control Concepts to Decoupler Design and Heating Control Design for a Batch Reactor. Can. J. Chem. Eng. 1987, 65, 858.
Ladson, L. S.; Waren, A. D.; Ratner, M. W. GRG2 User's Guide; Department of General Business, University of Texas, Austin, TX, 1980.
Lewin, D. R.; Lavie, R. Designing and Implementing Trajectories in an Exothermic Batch Chemical Reactor. Ind. Eng. Chem. Res. 1990, 29, 89.
Pearlmutter, B. A. Learning State Space Trajectories in Recurrent Neural Networks. Poc. IJCNN 1989, 2, 263.
Rao, D. P.; Parey, S. K. B. Modeling and Simulation of an Exothermic Reaction in a Batch Reactor. Indian chemical engineering 1988, 30, 33
Shukla, P. K.; Pushpavanam, S. Parametric Sensitivity, Runaway, and Safety in Batch Reactors: Experiments and Models. Ind. Eng. Chem. Res. 1994, 33, 3202.
You, Y.; Nikolaou, M. Dynamic Process Modeling with Recurrent Neural Networks. AIChE J. 1993 , 39, 1654.