Mathematical modelling is a powerful tool for solving optimisation problems in chemical engineering. In this work several models are proposed aimed at helping to make decisions about different aspects of the processes lifecycle, from the synthesis and design steps up to the operation and scheduling.
Mathematical Modeling Approaches for Optimization of Chemical Processes
โ Scribed by Gabriela Corsano, Jorge M. Montagna, Oscar A. Iribarren, Pio A. Aguirre
- Publisher
- Nova Science Publishers, Inc.
- Year
- 2009
- Tongue
- English
- Leaves
- 103
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Mathematical modelling is a powerful tool for solving optimisation problems in chemical engineering. In this work several models are proposed aimed at helping to make decisions about different aspects of the processes lifecycle, from the synthesis and design steps up to the operation and scheduling. Using an example of the Sugar Cane industry, several models are formulated and solved in order to assess the trade-offs involved in optimisation decisions. Thus, the power and versatility of mathematical modelling in the area of chemical processes optimisation is analysed and evaluated.
โฆ Table of Contents
MATHEMATICAL MODELING APPROACHES FOR OPTIMIZATION OF CHEMICAL PROCESSES......Page 3
NOTICE TO THE READER......Page 7
CONTENTS......Page 9
PREFACE......Page 11
INTRODUCTION......Page 13
BATCH AND SEMI-CONTINUOUS UNITS......Page 15
SINGLE PRODUCT, MULTIPRODUCT AND MULTIPURPOSE BATCH PLANTS......Page 16
OPTIMIZATION MODEL DECISIONS: SYNTHESIS, DESIGN, OPERATION, SCHEDULING AND PLANNING......Page 19
MATHEMATICAL FORMULATIONS......Page 20
LITERATURE REVIEW......Page 21
WORK OUTLINE......Page 23
3.1. INTRODUCTION......Page 25
3.2. MODEL FORMULATION......Page 27
3.3. FERMENTATION PROCESS FOR ETHANOL PRODUCTION......Page 32
3.4. EXAMPLE RESOLUTION......Page 35
3.5. A COMPARISON WITH THE TRADITIONAL APPROACH......Page 41
3.6. CONCLUSIONS AND OUTLOOK ON THE PROPOSED SUPERSTRUCTURE MODELING......Page 44
4.1. INTRODUCTION......Page 47
4.2. MODEL ASSUMPTIONS......Page 49
4.3. SOLUTION PROCEDURE......Page 50
4.4.1. Relaxed Model......Page 51
4.4.2. Multiproduct Campaign Model......Page 57
Sequential Multipurpose Plant: Torula Yeast, Brandy and Bakery Yeast Production Integrated to a Sugar Plant......Page 63
4.5.1. B-T Sequence Campaign for Fermentation Stage and T-B for Semi-continuous Stages (B-T / T-B)......Page 69
4.5.2. B-T Sequence Campaign for all the Stages......Page 73
4.5.3. B-B-T Sequence Campaign for all the Stages......Page 75
4.6. CONCLUSIONS AND OUTLOOK ON THE PROPOSED HEURISTIC APPROACH FOR MIXED PRODUCT CAMPAIGN MODEL......Page 77
5.1. INTRODUCTION......Page 79
5.2. MODEL FORMULATION......Page 80
5.3. MULTIPLANT COMPLEX TO PRODUCE DERIVATIVES FROM SUGAR CANE......Page 84
EXAMPLE......Page 86
5.5. CONCLUSIONS AND OUTLOOK ON THE PROPOSED MULTIPLANT INTEGRATION MODEL......Page 90
GENERAL SUMMARY AND SUGGESTIONS FOR FURTHER READING......Page 93
REFERENCES......Page 95
INDEX......Page 99
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