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The Resource Optimizing Thermal, Chemical, and Environmental Systems

Optimizing Thermal, Chemical, and Environmental Systems

Work
Publication
Extent
1 online resource (454 pages)
Note
""3.7.2 Comparison of the Measured and Calculated Values""
Contents
  • Front Cover -- Optimizing Thermal, Chemical, and Environmental Systems -- Optimizing Thermal, Chemical, and Environmental Systems -- Copyright -- Contents -- Preface -- Acknowledgments -- 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 Techniques1.7.1 Introduction -- 1.7.2 Adaptive Random Search Optimization -- 1.7.3 Genetic Algorithms -- 1.7.4 Simulated Annealing -- 1.7.4.1 Acceptance Criterion -- 1.7.4.2 Initial Simplex Generation -- 1.7.4.3 Determination of Initial Temperature -- 1.7.4.4 Temperature Decreaseâ#x80;#x94;Cooling Scheme -- 1.7.4.5 Equilibrium Conditionâ#x80;#x94;Point (6) of the General Algorithm -- 1.7.4.6 Stopping (Convergence) Criterion -- 1.7.4.7 Control Parameters Settings -- 1.7.5 Handling Equality Constraints in ARS, GA, and SA -- References
  • Further Reading2 -- Finite Rate Optimization of Steady Thermal Units -- 2.1 Optimization Syntheses Toward Thermodynamic Limits -- 2.1.1 Introduction: Aims, Scope, and Basic Notions -- 2.1.2 Significance of Thermodynamic Analyses -- 2.1.3 Power Optimization and Finite Resources -- 2.1.4 Static Limits for Power Yield -- 2.1.5 Integral Power and Discrete Dynamical Systems -- 2.1.6 Dynamical Limits, Non-Carnot Efficiencies, and Finite Rate Exergies -- 2.1.7 Approximate Treatment of Internal Dissipation -- 2.1.8 Brief Comment on Viscosity Solutions
  • 2.2 Maximizing Power Produced by a Finite Resource at Flow2.2.1 Characteristics of Steady Systems with Maximum Power -- 2.2.2 Discrete Modeling of Unsteady (Dynamical) Systems -- 2.2.3 Two Basic Works and Finite-Rate Exergies -- 2.3 Maximizing Cumulative Power -- 2.3.1 Power Systems Treated by HJB Equations -- 2.3.2 Systems With Pseudo-Newtonian Kinetics -- 2.3.3 Potential Functions for Quasilinear Kinetics -- 2.4 Discussion and Concluding Remarks -- References -- 3 -- Neural Networks for Emission Prediction of Dust Pollutants -- 3.1 Introduction
  • 3.1.1 Significance of Pollution Reduction3.1.2 Atmospheric Air -- 3.1.3 Dusts -- 3.1.4 Quantitative Aspects of Pollution Emission -- 3.1.4.1 Direct Measurement of Pollution Emission -- 3.1.4.2 Mathematical Simulations of Pollution Emission -- 3.1.5 Management of Environmental Protection -- 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 -- 3.7.1 Statistical Estimates
Isbn
9780128135839
Instance
Label
Optimizing Thermal, Chemical, and Environmental Systems
Title
Optimizing Thermal, Chemical, and Environmental Systems
Creator
Contributor
Subject
Language
eng
Summary
Annotation
Cataloging source
EBLCP
http://library.link/vocab/creatorName
Sieniutycz, Stanislaw
Dewey number
621.402
Index
no index present
LC call number
TJ260
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Szwast, Zbigniew
http://library.link/vocab/subjectName
  • Heat engineering
  • Chemical engineering
  • Environmental engineering
  • Engineering design
  • Chemical engineering
  • Engineering design
  • Environmental engineering
  • Heat engineering
Summary expansion
'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
Label
Optimizing Thermal, Chemical, and Environmental Systems
Instantiates
Publication
Note
""3.7.2 Comparison of the Measured and Calculated Values""
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Front Cover -- Optimizing Thermal, Chemical, and Environmental Systems -- Optimizing Thermal, Chemical, and Environmental Systems -- Copyright -- Contents -- Preface -- Acknowledgments -- 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 Techniques1.7.1 Introduction -- 1.7.2 Adaptive Random Search Optimization -- 1.7.3 Genetic Algorithms -- 1.7.4 Simulated Annealing -- 1.7.4.1 Acceptance Criterion -- 1.7.4.2 Initial Simplex Generation -- 1.7.4.3 Determination of Initial Temperature -- 1.7.4.4 Temperature Decreaseâ#x80;#x94;Cooling Scheme -- 1.7.4.5 Equilibrium Conditionâ#x80;#x94;Point (6) of the General Algorithm -- 1.7.4.6 Stopping (Convergence) Criterion -- 1.7.4.7 Control Parameters Settings -- 1.7.5 Handling Equality Constraints in ARS, GA, and SA -- References
  • Further Reading2 -- Finite Rate Optimization of Steady Thermal Units -- 2.1 Optimization Syntheses Toward Thermodynamic Limits -- 2.1.1 Introduction: Aims, Scope, and Basic Notions -- 2.1.2 Significance of Thermodynamic Analyses -- 2.1.3 Power Optimization and Finite Resources -- 2.1.4 Static Limits for Power Yield -- 2.1.5 Integral Power and Discrete Dynamical Systems -- 2.1.6 Dynamical Limits, Non-Carnot Efficiencies, and Finite Rate Exergies -- 2.1.7 Approximate Treatment of Internal Dissipation -- 2.1.8 Brief Comment on Viscosity Solutions
  • 2.2 Maximizing Power Produced by a Finite Resource at Flow2.2.1 Characteristics of Steady Systems with Maximum Power -- 2.2.2 Discrete Modeling of Unsteady (Dynamical) Systems -- 2.2.3 Two Basic Works and Finite-Rate Exergies -- 2.3 Maximizing Cumulative Power -- 2.3.1 Power Systems Treated by HJB Equations -- 2.3.2 Systems With Pseudo-Newtonian Kinetics -- 2.3.3 Potential Functions for Quasilinear Kinetics -- 2.4 Discussion and Concluding Remarks -- References -- 3 -- Neural Networks for Emission Prediction of Dust Pollutants -- 3.1 Introduction
  • 3.1.1 Significance of Pollution Reduction3.1.2 Atmospheric Air -- 3.1.3 Dusts -- 3.1.4 Quantitative Aspects of Pollution Emission -- 3.1.4.1 Direct Measurement of Pollution Emission -- 3.1.4.2 Mathematical Simulations of Pollution Emission -- 3.1.5 Management of Environmental Protection -- 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 -- 3.7.1 Statistical Estimates
Control code
1012343155
Dimensions
unknown
Extent
1 online resource (454 pages)
Form of item
online
Isbn
9780128135839
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
9780128135839
Specific material designation
remote
System control number
(OCoLC)1012343155
Label
Optimizing Thermal, Chemical, and Environmental Systems
Publication
Note
""3.7.2 Comparison of the Measured and Calculated Values""
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Front Cover -- Optimizing Thermal, Chemical, and Environmental Systems -- Optimizing Thermal, Chemical, and Environmental Systems -- Copyright -- Contents -- Preface -- Acknowledgments -- 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 Techniques1.7.1 Introduction -- 1.7.2 Adaptive Random Search Optimization -- 1.7.3 Genetic Algorithms -- 1.7.4 Simulated Annealing -- 1.7.4.1 Acceptance Criterion -- 1.7.4.2 Initial Simplex Generation -- 1.7.4.3 Determination of Initial Temperature -- 1.7.4.4 Temperature Decreaseâ#x80;#x94;Cooling Scheme -- 1.7.4.5 Equilibrium Conditionâ#x80;#x94;Point (6) of the General Algorithm -- 1.7.4.6 Stopping (Convergence) Criterion -- 1.7.4.7 Control Parameters Settings -- 1.7.5 Handling Equality Constraints in ARS, GA, and SA -- References
  • Further Reading2 -- Finite Rate Optimization of Steady Thermal Units -- 2.1 Optimization Syntheses Toward Thermodynamic Limits -- 2.1.1 Introduction: Aims, Scope, and Basic Notions -- 2.1.2 Significance of Thermodynamic Analyses -- 2.1.3 Power Optimization and Finite Resources -- 2.1.4 Static Limits for Power Yield -- 2.1.5 Integral Power and Discrete Dynamical Systems -- 2.1.6 Dynamical Limits, Non-Carnot Efficiencies, and Finite Rate Exergies -- 2.1.7 Approximate Treatment of Internal Dissipation -- 2.1.8 Brief Comment on Viscosity Solutions
  • 2.2 Maximizing Power Produced by a Finite Resource at Flow2.2.1 Characteristics of Steady Systems with Maximum Power -- 2.2.2 Discrete Modeling of Unsteady (Dynamical) Systems -- 2.2.3 Two Basic Works and Finite-Rate Exergies -- 2.3 Maximizing Cumulative Power -- 2.3.1 Power Systems Treated by HJB Equations -- 2.3.2 Systems With Pseudo-Newtonian Kinetics -- 2.3.3 Potential Functions for Quasilinear Kinetics -- 2.4 Discussion and Concluding Remarks -- References -- 3 -- Neural Networks for Emission Prediction of Dust Pollutants -- 3.1 Introduction
  • 3.1.1 Significance of Pollution Reduction3.1.2 Atmospheric Air -- 3.1.3 Dusts -- 3.1.4 Quantitative Aspects of Pollution Emission -- 3.1.4.1 Direct Measurement of Pollution Emission -- 3.1.4.2 Mathematical Simulations of Pollution Emission -- 3.1.5 Management of Environmental Protection -- 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 -- 3.7.1 Statistical Estimates
Control code
1012343155
Dimensions
unknown
Extent
1 online resource (454 pages)
Form of item
online
Isbn
9780128135839
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
http://library.link/vocab/ext/overdrive/overdriveId
9780128135839
Specific material designation
remote
System control number
(OCoLC)1012343155

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