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[null,"1.","Record Nr.",null,"UNINA9910953683803321"]
[null,null,"Titolo",null,"Mathematical modelling approaches for optimization of chemical processes / / Gabriela Corsano ... [et al.]"]
[null,null,"Pubbl/distr/stampa",null,"Hauppauge, N.Y., : Nova Science Publishers, c2009"]
[null,null,"ISBN",null,"1-60876-419-2"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (103 p.)"]
[null,null,"Disciplina",null,"660/.28"]
[null,null,"Soggetti",null,"Chemical processes"]
[{"$nulls":4},"Mathematical optimization"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. [83]-85) and index."]
[null,null,"Nota di contenuto",null,"Intro -- MATHEMATICAL MODELING APPROACHES FOR OPTIMIZATION OF CHEMICAL PROCESSES -- NOTICE TO THE READER -- CONTENTS -- PREFACE -- INTRODUCTION -- DEFINITIONS -- BATCH AND SEMI-CONTINUOUS UNITS -- SINGLE PRODUCT, MULTIPRODUCT AND MULTIPURPOSE BATCH PLANTS -- OPTIMIZATION MODEL DECISIONS: SYNTHESIS, DESIGN, OPERATION, SCHEDULING AND PLANNING -- MATHEMATICAL FORMULATIONS -- LITERATURE REVIEW -- WORK OUTLINE -- NLP SUPERSTRUCTURE MODELING FOR THE OPTIMAL SYNTHESIS, DESIGN AND OPERATION IN A BATCH PLANT -- 3.1. INTRODUCTION -- 3.2. MODEL FORMULATION -- 3.3. FERMENTATION PROCESS FOR ETHANOL PRODUCTION -- 3.4. EXAMPLE RESOLUTION -- 3.5. A COMPARISON WITH THE TRADITIONAL APPROACH -- 3.6. CONCLUSIONS AND OUTLOOK ON THE PROPOSED SUPERSTRUCTURE MODELING -- SYNTHESIS AND DESIGN OF MULTIPRODUCT/MULTIPURPOSE BATCH PLANTS: A HEURISTIC APPROACH FOR DETERMINING MIXED PRODUCT CAMPAIGNS -- 4.1. INTRODUCTION -- 4.2. MODEL ASSUMPTIONS -- 4.3. SOLUTION PROCEDURE -- 4.4. MATHEMATICAL MODELING -- 4.4.1. Relaxed Model -- 4.4.2. Multiproduct Campaign Model -- 4.5. STUDY CASE -- Sequential Multipurpose Plant: Torula Yeast, Brandy and Bakery Yeast Production Integrated to a Sugar Plant -- 4.5.1. B-T Sequence Campaign for Fermentation Stage and T-B for Semi-continuous Stages (B-T / T-B) -- 4.5.2. B-T Sequence Campaign for all the Stages -- 4.5.3. B-B-T Sequence Campaign for all the Stages -- 4.6. CONCLUSIONS AND OUTLOOK ON THE PROPOSED HEURISTIC APPROACH FOR MIXED PRODUCT CAMPAIGN MODEL -- PROCESS "]
[{"$nulls":4},"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."]
[{"$nulls":4},"GENERAL SUMMARY AND SUGGESTIONS FOR FURTHER READING -- REFERENCES -- INDEX."]
[null,null,null,"Sommario/riassunto","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."]