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Optimizing Thermal, Chemical, and Environmental Systems - 1st Edition - ISBN: 9780128135822, 9780128135839

Optimizing Thermal, Chemical, and Environmental Systems

1st Edition

Authors: Stanislaw Sieniutycz Zbigniew Szwast
Paperback ISBN: 9780128135822
eBook ISBN: 9780128135839
Imprint: Elsevier
Published Date: 13th November 2017
Page Count: 452
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Description

Optimizing Thermal, Chemical and Environmental Systems treats the evaluation of power or energy limits for processes that arise in various thermal, chemical and environmental engineering systems (heat and mass exchangers, power converters, recovery units, solar collectors, mixture separators, chemical reactors, catalyst regenerators, etc.). The book is an indispensable source for researchers and students, providing the necessary information on what has been achieved to date in the field of process optimization, new research problems, and what kind of further studies should be developed within quite specialized optimizations.

Key Features

  • Summarizes recent achievements of advanced optimization techniques
  • Links exergy definitions in reversible systems with classical problems of extremum work
  • Includes practical problems and illustrative examples to clarify applications
  • Provides a unified description of classical and work-assisted heat and mass exchangers
  • Written by a first-class expert in the field of advanced methods in thermodynamics

Readership

Scientists in academia and industry, chemical engineers, and students in (electro)chemistry, biotechnology, and ecology

Table of Contents

1. Outline of Classical Optimization Methods
1.1 Applying Mathematical and Engineering Knowledge in Optimization
1.2 Unconstrained Problems for Function of Several Variables
1.3 Equality Constraints and Lagrange Multipliers
1.4 Methods of Mathematical Programming
1.5 Methods of Dynamic Optimization
1.6 Iterative Search Approaches
1.7 Some Stochastic Optimization Techniques

2. Finite Rate Optimization of Steady Thermal Units
2.1 Optimization Syntheses Toward Thermodynamic Limits
2.2 Maximizing Power Produced by a Finite Resource at Flow
2.3 Maximizing Cumulative Power
2.4 Discussion and Concluding Remarks

3. Neural Networks for Emission Prediction of Dust Pollutants
3.1 Introduction
3.2 Aims, Scope, and Assumptions
3.3 Experimental Data
3.4 Artificial Neural Networks
3.5 Emission Prediction With Multilayer Perceptron Method
3.6 Working Parameters of the Artificial Neural Network Model
3.7 Prediction Results
3.8 Emission Prediction by a Hybrid Model
3.9 Work Parameters of the Radial Base Function Network
3.10 Prediction Results
3.11 Summary and Conclusions

4. Neural NetworksdA Review of Applications
4.1 Introduction: General Issues
4.2 Training, Modeling, and Simulation
4.3 Performance Prediction, Optimization, and Related Issues
4.4 Hybrid and Fuzzy Systems

5. Uncontrolled FluideSolid Systems in Chemistry
5.1 Mass Penetration
5.2 Heterogeneous Process Regimes
5.3 GaseSolid Noncatalytic Reactions
5.4 Kinetic Analysis of Contact (Catalytic) Reactions (Szarawara et al., 1991, Chapter 5)
5.5 Kinetics of Surface Process
5.6 External Diffusion
5.7 Internal Diffusion
5.8 Catalyst Deactivation
5.9 Cascades of Tank Reactors
5.10 Reactor With the Product Recycle
5.11 Chemical Networks

6. Maximum Power in Homogeneous Chemical Systems
6.1 Introduction 175
6.2 Macro-Kinetics of Transport Phenomena and Chemical Reactions
6.3 Equations of Nonlinear Macro-Kinetics
6.4 Correspondence With Classical Chemical Kinetics
6.5 Inclusion of Nonlinear Transport Phenomena
6.6 Continuous Description of Chemical Kinetics and Transport
6.7 Principles of Power Production in Chemical Systems
6.8 Power Yield in Nonisothermal Chemical Engines
6.9 Nonisothermal Engines in Terms of Carnot Variables
6.10 Entropy Production in Steady Systems
6.11 Dynamical Dissipative Availabilities
6.12 Characteristics of Steady Isothermal Engines
6.13 Plausible Models of Dynamic Power Generators
6.14 Computational Algorithm for the Dynamical Process
6.15 Results of Computations
6.16 Some Additional Comments
6.17 Complex Systems With Internal Dissipation

7. Maximum Conversion in Processes With Chemical Reactions
7.1 Optimal Temperature Profile for a Single Reversible Chemical Reaction
7.2 Optimization of Consecutive Reactions in a Batch or Tubular Reactor
7.3 Parallel and Consecutive-Parallel Reactions in a Tubular or Batch Reactor

8. Reactors With Catalyst Decay and Regeneration
8.1 Mathematical Model for Kinetics of Reaction and Deactivation
8.2 Optimal Temperature Strategy for Single Catalytic Reaction in a Batch Reactor and Moving Bed Reactors
8.3 Tubular Reactor With Fixed Catalyst Bed and Optimal ReactioneRegeneration Cycle
8.4 Discussion
8.5 System of Consecutive-Parallel Reactions in Reactors With Catalyst Deactivation

9. Fuel Cells and Other Electrochemical Systems
9.1 Introduction
9.2 Electrochemical Engines
9.3 Entropy Production and Power Limits in Fuel Cells
9.4 Calculation of Operational Voltage
9.5 Thermodynamic Account of Current-Dependent and -Independent Imperfections
9.6 Evaluation of Mass Flows, Power Output, and Efficiency
9.7 Quality Characteristics and Feasibility Criteria
9.8 Some Experimental Results
9.9 Evaluating Power Limits in Thermo-Electro-Chemical Engines
9.10 Hybrid Systems
9.11 Unsteady States, Dynamic Units, and Control Problems
9.12 Biological Fuel Cells and Hydrogen Sources
9.13 Anode-Supported Solid Oxide Fuel Cell for Determination of Poisoning Limits

10. Optimizing Circulation Reactor With Deactivating Catalyst
10.1 Introducing the Problem of Optimal Temperatures in Circulation Reactors
10.2 Formulation of the Optimization Problem
10.3 Shapes of Optimal Temperature Profiles
10.4 Results of Numerical Calculations
10.5 Summarizing Remarks

11. Optimizing Reactore - Regenerator System With Catalytic Parallel-Consecutive Reactions
11.1 Introduction
11.2 Mathematical Model of Catalyst Deactivation
11.3 Mathematical Model of Chemical Reactions
11.4 Process Profit Flux
11.5 Optimization Problem and Computational Algorithm
11.6 Some Results
11.7 Conclusions

12. Maximum Principle and Other Criteria of Dynamic OptimizationdAn Unconventional Approach
12.1 Introducing the Standard Form of the Continuous Optimization Problem
12.2 Dynamic Programming Investigation of Optimal Quality Function
12.3 Continuous Maximum Principle
12.4 Solving Methods for Maximum Principle Equations
12.5 Discrete Versions of Maximum Principle
12.6 Classification and Comparison of Various Computational Methods for Optimization of Functionals

Details

No. of pages:
452
Language:
English
Copyright:
© Elsevier 2017
Published:
13th November 2017
Imprint:
Elsevier
Paperback ISBN:
9780128135822
eBook ISBN:
9780128135839

About the Authors

Stanislaw Sieniutycz

Stanislaw Sieniutycz is Professor of Chemical Engineering at the Institute of Chemical and Process Engineering at the Warsaw University of Technology in Poland. His research focuses on thermal and chemical engineering with special emphasis on the control, stability and optimization of chemical and electrochemical reaction systems. He published 10 books with international scientific publishers and 224 articles in international scientific journals, and 140 conference and invited papers. He is Associate Editor and Member of Editorial Board of the Journal of Non-Equilibrium Thermodynamics, Associate Editor and Member of Editorial Board of the Journal: Open Systems and Information Dynamics, Associate Editor and Member of Editorial Board of the Journal: International Journal of Applied Thermodynamics, Member of Editorial Board of the Journal: Energy and Conversion Management, Associate Editor of Advances in Thermodynamics Series, Member of Committee of Chemical Engineering at Polish Academy of Sciences. He received 7 awards.

Affiliations and Expertise

Professor of Chemical Engineering, Warsaw University of Technology, Faculty of Chemical and Process Engineering, Poland

Zbigniew Szwast

Prof. Zbigniew Szwast (1948), PhD; ScD, has been since 2005 a Professor of Chemical Engineering at the Warsaw TU, Poland. He has received his MsD in Chemical Engineering in 1971, PhD in Chemical Engineering in 1979, and ScD (habilitation) in Chemical Engineering in 1994, all from Warsaw TU. He has been a visiting professor in US University of Stoors (Chemical Engineering) and University of Bern (Physiology, 1990). His research focuses on optimization of chemical engineering processes. He is co-author of several books.

Affiliations and Expertise

Faculty of Chemical and Process Engineering, Warsaw Technological University, Warsaw, Poland

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