The Resource Control and optimisation of process systems, edited by S. Pushpavanam, (electronic resource)

Control and optimisation of process systems, edited by S. Pushpavanam, (electronic resource)

Label
Control and optimisation of process systems
Title
Control and optimisation of process systems
Statement of responsibility
edited by S. Pushpavanam
Contributor
Subject
Genre
Language
  • eng
  • eng
Summary
Advances in Chemical Engineering was established in 1960 and is the definitive serial in the area. It is one of great importance to organic chemists, polymer chemists, and many biological scientists. Written by established authorities in the field, the comprehensive reviews combine descriptive chemistry and mechanistic insight and yield an understanding of how the chemistry drives the properties. This volume focuses on control and optimisation of process systems.Advances in Chemical Engineering was established in 1960 and is the definitive serial in the area. It is one of great
Member of
Is Subseries of
Cataloging source
MiAaPQ
Dewey number
660.281
Illustrations
illustrations
Index
index present
Language note
English
LC call number
TP155.75
LC item number
.C66 2013
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Pushpavanam, S
Series statement
Advances in chemical engineering,
Series volume
v. 43
http://library.link/vocab/subjectName
  • Chemical process control
  • Systems engineering
Label
Control and optimisation of process systems, edited by S. Pushpavanam, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • Front Cover; Control and Optimisation of Process Systems; Copyright; Contents; Contributors; Preface; Chapter One: Measurement-Based Real-Time Optimization of Chemical Processes; 1. Introduction; 2. Improved Operation of Chemical Processes; 2.1. Need for improved operation in chemical production; 2.2. Four representative application challenges; 2.2.1. Scaling up reactor operation from lab size to plant size; 2.2.2. Steady-state optimization of continuous operation; 2.2.3. Optimal grade transition; 2.2.4. Run-to-run optimization of batch polymerization processes
  • 3. Optimization-Relevant Features of Chemical Processes3.1. Presence of uncertainty; 3.2. Presence of constraints; 3.3. Continuous versus batch operation; 3.4. Repetitive nature of batch processes; 4. Model-Based Optimization; 4.1. Static optimization and KKT conditions; 4.1.1. Problem formulation; 4.1.2. KKT necessary conditions of optimality; 4.1.3. Solution methods; 4.2. Dynamic optimization and PMP conditions; 4.2.1. Problem formulation; 4.2.2. Pontryagin ́s minimum principle; 4.2.3. Solution method; 4.3. Effect of plant-model mismatch; 4.3.1. Plant-model mismatch; 4.3.2. Model adequacy
  • 5. Measurement-Based Optimization5.1. Classification of measurement-based optimization schemes; 5.2. Implementation aspects; 5.2.1. On-line control of run-time objectives; 5.2.2. On-line control of run-end outputs; 5.2.3. Run-to-run control of run-time outputs; 5.2.4. Run-to-run control of run-end objectives; 5.3. Two-step approach; 5.3.1. Basic idea; 5.3.2. Model adequacy; 5.4. Modifier-adaptation approach; 5.4.1. Basic idea; 5.4.2. Model adequacy; 5.5. Self-optimizing approaches; 5.5.1. Basic idea; 5.5.2. NCO tracking; 6. Case Studies; 6.1. Scale-up in specialty chemistry
  • 6.1.1. Problem formulation6.1.2. Laboratory recipe; 6.1.3. Scale-up seen as a control problem; 6.1.4. Application to the industrial reactor; 6.1.5. Simulation results; 6.2. Solid oxide fuel cell stack; 6.2.1. Problem formulation; 6.2.2. RTO via constraint adaptation; 6.2.3. Experimental scenarios; 6.2.4. Experimental results; 6.3. Grade transition for polyethylene reactors; 6.3.1. Process description; 6.3.2. The grade transition problem; 6.3.2.1. Analysis of the sets of optimal conditions for grades A and B; 6.3.2.2. Grade transition as a dynamic optimization problem
  • 6.3.3. The model of the solution6.3.4. NCO-tracking scheme; 6.3.5. Simulation results; 6.4. Industrial batch polymerization process; 6.4.1. A brief description of the process; 6.4.2. Nominal optimization of the tendency model; 6.4.3. The model of the solution; 6.4.4. Industrial results; 7. Conclusions; Acknowledgment; References; Chapter Two: Incremental Identification of Distributed Parameter Systems; 1. Introduction; 2. Standard Approaches to Model Identification; 3. Incremental Model Identification; 3.1. Implementation of IMI; 3.2. Ingredients for a successful implementation of IMI
  • 3.3. Application of IMI to challenging problems
Dimensions
unknown
Edition
1st ed.
Extent
1 online resource (279 p.)
Form of item
online
Isbn
9780123964687
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (EBL)1180521
  • (OCoLC)850149669
  • (SSID)ssj0000906620
  • (PQKBManifestationID)11577534
  • (PQKBTitleCode)TC0000906620
  • (PQKBWorkID)10843814
  • (PQKB)10101064
  • (MiAaPQ)EBC1180521
  • (EXLCZ)992670000000354994
Label
Control and optimisation of process systems, edited by S. Pushpavanam, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • Front Cover; Control and Optimisation of Process Systems; Copyright; Contents; Contributors; Preface; Chapter One: Measurement-Based Real-Time Optimization of Chemical Processes; 1. Introduction; 2. Improved Operation of Chemical Processes; 2.1. Need for improved operation in chemical production; 2.2. Four representative application challenges; 2.2.1. Scaling up reactor operation from lab size to plant size; 2.2.2. Steady-state optimization of continuous operation; 2.2.3. Optimal grade transition; 2.2.4. Run-to-run optimization of batch polymerization processes
  • 3. Optimization-Relevant Features of Chemical Processes3.1. Presence of uncertainty; 3.2. Presence of constraints; 3.3. Continuous versus batch operation; 3.4. Repetitive nature of batch processes; 4. Model-Based Optimization; 4.1. Static optimization and KKT conditions; 4.1.1. Problem formulation; 4.1.2. KKT necessary conditions of optimality; 4.1.3. Solution methods; 4.2. Dynamic optimization and PMP conditions; 4.2.1. Problem formulation; 4.2.2. Pontryagin ́s minimum principle; 4.2.3. Solution method; 4.3. Effect of plant-model mismatch; 4.3.1. Plant-model mismatch; 4.3.2. Model adequacy
  • 5. Measurement-Based Optimization5.1. Classification of measurement-based optimization schemes; 5.2. Implementation aspects; 5.2.1. On-line control of run-time objectives; 5.2.2. On-line control of run-end outputs; 5.2.3. Run-to-run control of run-time outputs; 5.2.4. Run-to-run control of run-end objectives; 5.3. Two-step approach; 5.3.1. Basic idea; 5.3.2. Model adequacy; 5.4. Modifier-adaptation approach; 5.4.1. Basic idea; 5.4.2. Model adequacy; 5.5. Self-optimizing approaches; 5.5.1. Basic idea; 5.5.2. NCO tracking; 6. Case Studies; 6.1. Scale-up in specialty chemistry
  • 6.1.1. Problem formulation6.1.2. Laboratory recipe; 6.1.3. Scale-up seen as a control problem; 6.1.4. Application to the industrial reactor; 6.1.5. Simulation results; 6.2. Solid oxide fuel cell stack; 6.2.1. Problem formulation; 6.2.2. RTO via constraint adaptation; 6.2.3. Experimental scenarios; 6.2.4. Experimental results; 6.3. Grade transition for polyethylene reactors; 6.3.1. Process description; 6.3.2. The grade transition problem; 6.3.2.1. Analysis of the sets of optimal conditions for grades A and B; 6.3.2.2. Grade transition as a dynamic optimization problem
  • 6.3.3. The model of the solution6.3.4. NCO-tracking scheme; 6.3.5. Simulation results; 6.4. Industrial batch polymerization process; 6.4.1. A brief description of the process; 6.4.2. Nominal optimization of the tendency model; 6.4.3. The model of the solution; 6.4.4. Industrial results; 7. Conclusions; Acknowledgment; References; Chapter Two: Incremental Identification of Distributed Parameter Systems; 1. Introduction; 2. Standard Approaches to Model Identification; 3. Incremental Model Identification; 3.1. Implementation of IMI; 3.2. Ingredients for a successful implementation of IMI
  • 3.3. Application of IMI to challenging problems
Dimensions
unknown
Edition
1st ed.
Extent
1 online resource (279 p.)
Form of item
online
Isbn
9780123964687
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (EBL)1180521
  • (OCoLC)850149669
  • (SSID)ssj0000906620
  • (PQKBManifestationID)11577534
  • (PQKBTitleCode)TC0000906620
  • (PQKBWorkID)10843814
  • (PQKB)10101064
  • (MiAaPQ)EBC1180521
  • (EXLCZ)992670000000354994

Library Locations

  • African Studies LibraryBorrow it
    771 Commonwealth Avenue, 6th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Alumni Medical LibraryBorrow it
    72 East Concord Street, Boston, MA, 02118, US
    42.336388 -71.072393
  • Astronomy LibraryBorrow it
    725 Commonwealth Avenue, 6th Floor, Boston, MA, 02445, US
    42.350259 -71.105717
  • Fineman and Pappas Law LibrariesBorrow it
    765 Commonwealth Avenue, Boston, MA, 02215, US
    42.350979 -71.107023
  • Frederick S. Pardee Management LibraryBorrow it
    595 Commonwealth Avenue, Boston, MA, 02215, US
    42.349626 -71.099547
  • Howard Gotlieb Archival Research CenterBorrow it
    771 Commonwealth Avenue, 5th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Mugar Memorial LibraryBorrow it
    771 Commonwealth Avenue, Boston, MA, 02215, US
    42.350723 -71.108227
  • Music LibraryBorrow it
    771 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Pikering Educational Resources LibraryBorrow it
    2 Silber Way, Boston, MA, 02215, US
    42.349804 -71.101425
  • School of Theology LibraryBorrow it
    745 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350494 -71.107235
  • Science & Engineering LibraryBorrow it
    38 Cummington Mall, Boston, MA, 02215, US
    42.348472 -71.102257
  • Stone Science LibraryBorrow it
    675 Commonwealth Avenue, Boston, MA, 02445, US
    42.350103 -71.103784
Processing Feedback ...