Mathematical modelling approaches for optimization of chemical processes / Gabriela Corsano ... [et al.].

Format:

Book

Contributor:

Corsano, Gabriela.

Language:

English

Subjects (All):

Chemical processes.

Mathematical optimization.

Physical Description:

1 online resource (103 p.)

Edition:

1st ed.

Place of Publication:

Hauppauge, N.Y. : Nova Science Publishers, c2009.

Language Note:

English

Summary:

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.

Contents:

Intro

MATHEMATICAL MODELING APPROACHES FOR OPTIMIZATION OF CHEMICAL PROCESSES

NOTICE TO THE READER

CONTENTS

PREFACE

INTRODUCTION

DEFINITIONS

BATCH AND SEMI-CONTINUOUS UNITS

SINGLE PRODUCT, MULTIPRODUCT AND MULTIPURPOSE BATCH PLANTS

OPTIMIZATION MODEL DECISIONS: SYNTHESIS, DESIGN, OPERATION, SCHEDULING AND PLANNING

MATHEMATICAL FORMULATIONS

LITERATURE REVIEW

WORK OUTLINE

NLP SUPERSTRUCTURE MODELING FOR THE OPTIMAL SYNTHESIS, DESIGN AND OPERATION IN A BATCH PLANT

3.1. INTRODUCTION

3.2. MODEL FORMULATION

3.3. FERMENTATION PROCESS FOR ETHANOL PRODUCTION

3.4. EXAMPLE RESOLUTION

3.5. A COMPARISON WITH THE TRADITIONAL APPROACH

3.6. CONCLUSIONS AND OUTLOOK ON THE PROPOSED SUPERSTRUCTURE MODELING

SYNTHESIS AND DESIGN OF MULTIPRODUCT/MULTIPURPOSE BATCH PLANTS: A HEURISTIC APPROACH FOR DETERMINING MIXED PRODUCT CAMPAIGNS

4.1. INTRODUCTION

4.2. MODEL ASSUMPTIONS

4.3. SOLUTION PROCEDURE

4.4. MATHEMATICAL MODELING

4.4.1. Relaxed Model

4.4.2. Multiproduct Campaign Model

4.5. STUDY CASE

Sequential Multipurpose Plant: Torula Yeast, Brandy and Bakery Yeast Production Integrated to a Sugar Plant

4.5.1. B-T Sequence Campaign for Fermentation Stage and T-B for Semi-continuous Stages (B-T / T-B)

4.5.2. B-T Sequence Campaign for all the Stages

4.5.3. B-B-T Sequence Campaign for all the Stages

4.6. CONCLUSIONS AND OUTLOOK ON THE PROPOSED HEURISTIC APPROACH FOR MIXED PRODUCT CAMPAIGN MODEL

PROCESS INTEGRATION:MATHEMATICAL MODELING FOR THE OPTIMAL SYNTHESIS, DESIGN, OPERATION AND PLANNING OF A MULTIPLANT COMPLEX

5.1. INTRODUCTION

5.2. MODEL FORMULATION

5.3. MULTIPLANT COMPLEX TO PRODUCE DERIVATIVES FROM SUGAR CANE

5.4. RESULTS AND ANALYSIS

EXAMPLE

5.5. CONCLUSIONS AND OUTLOOK ON THE PROPOSED MULTIPLANT INTEGRATION MODEL.

GENERAL SUMMARY AND SUGGESTIONS FOR FURTHER READING

REFERENCES

INDEX.

Notes:

Description based upon print version of record.

Includes bibliographical references (p. [83]-85) and index.

ISBN:

1-60876-419-2

OCLC:

923658307