Conservation equations and modeling of chemical and biochemical processes

著者

    • Elanashaie, Said S. E. H.
    • Garhyan, Parag

書誌事項

Conservation equations and modeling of chemical and biochemical processes

Said S. E. H. Elanashaie, Parag Garhyan

(Chemical industries, v. 92)

Marcel Dekker, c2003

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Presenting strategies in control policies, this text uses a systems theory approach to predict, simulate and streamline plant operation, conserve fuel and resources, and increase workplace safety in the manufacturing, chemical, petrochemical, petroleum, biochemical and energy industries. Topics of discussion include system theory and chemical/biochemical engineering systems, steady state, unsteady state, and thermodynamic equilibrium, modeling of systems, fundamental laws governing the processes in terms of the state variables, different classifications of physical models, the story of chemical engineering in relation to system theory and mathematical modeling, overall heat balance with single and multiple chemical reactions and single and multiple reactions.

目次

  • System theory and chemical/biochemical engineering systems
  • system theory
  • steady state, unsteady state, and thermodynamic equilibrium
  • modeling of systems
  • fundamental laws governing the processes in terms of the state variables
  • different classifications of physical models
  • the story of chemical engineering in relation to system theory and mathematical modeling
  • the present status of chemical industry and undergraduate chemical engineering education
  • system theory and the mathematical modeling approach used in this book
  • modeling and simulation in chemical engineering
  • Amundson Report and the need for modern chemical engineering education
  • system theory and mathematical modeling as tools for more efficient undergraduate chemical engineering education
  • summary of the main topics in this chapter
  • references
  • problem
  • material and energy balances
  • material and energy balances
  • single and multiple reactions - conversion, yield, and selectivity
  • generalized material balance
  • solved problems for mass balance
  • heat effects
  • overall heat balance with single and multiple chemical reactions
  • solved problems for energy balance
  • mathematical modeling (I) - homogeneous lumped systems
  • mathematical modeling of homogeneous lumped processes
  • mathematical models building - general concepts
  • generic and customized models
  • economic benefits of using high-fidelity customized models
  • incorporation of rigorous models into flowsheet simulators and putting mathematical models into user-friendly software packages
  • from material and energy balances to steady-state design equations (steady-state mathematical models)
  • simple examples for the general equations
  • modeling of biochemical systems
  • references
  • problems
  • mathematical modeling (II) - homogeneous distributed systems and unsteady-state behaviour
  • modeling of distributed systems
  • the unsteady state terms in homogeneous and heterogeneous systems
  • the axial dispersion model
  • problems
  • process dynamics and control
  • various forms of process dynamic models
  • formulation of process dynamic models
  • state-space and transfer domain models
  • introductory process control concepts
  • process dynamics and mathematical tools
  • the Laplace transformation
  • characteristics of ideal forcing functions
  • basic principles of block diagrams, control loops, and types of classical controls
  • linearization
  • second-order systems
  • components of feedback control loops
  • block diagram algebra
  • some techniques for choosing the controller settings
  • solved examples
  • problems
  • heterogeneous systems
  • material balance for heterogeneous systems
  • design equations (steady-state models) for isothermal, heterogeneous lumped systems
  • design equations (steady state models) for isothermal, distributed heterogeneous systems
  • nonisothermal heterogeneous systems
  • examples of heterogeneous systems
  • dynamic cases
  • mathematical modeling and simulation of fluidized-bed reactors. (Part contents).

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