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Dynamic Modeling and Predictive Control in Solid Oxide Fuel Cells : First Principle and Data-Based Approaches.

By: Material type: TextTextSeries: New York Academy of Sciences SeriesPublisher: Newark : John Wiley & Sons, Incorporated, 2013Copyright date: ©2013Edition: 1st edDescription: 1 online resource (343 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118501030
Subject(s): Genre/Form: Additional physical formats: Print version:: Dynamic Modeling and Predictive Control in Solid Oxide Fuel CellsDDC classification:
  • 621.31/2429
LOC classification:
  • TK2931 .H82 2013
Online resources:
Contents:
Intro -- Title Page -- Copyright -- Preface -- Acknowledgments -- List of Figures -- List of Tables -- Chapter 1: Introduction -- 1.1 Overview of Fuel Cell Technology -- 1.2 Modelling, State Estimation and Control -- 1.3 Book Coverage -- 1.4 Book Outline -- Part One: Fundamentals -- Chapter 2: First Principle Modelling for Chemical Processes -- 2.1 Thermodynamics -- 2.2 Heat Transfer -- 2.3 Mass Transfer -- 2.4 Fluid Mechanics -- 2.5 Equations of Change -- 2.6 Chemical Reaction -- 2.7 Notes and References -- Chapter 3: System Identification I -- 3.1 Discrete-time Systems -- 3.2 Signals -- 3.3 Models -- 3.4 Notes and References -- Chapter 4: System Identification II -- 4.1 Regression Analysis -- 4.2 Prediction Error Method -- 4.3 Model Validation -- 4.4 Practical Consideration -- 4.5 Closed-loop Identification -- 4.6 Subspace Identification -- 4.7 Notes and References -- Chapter 5: State Estimation -- 5.1 Recent Developments in Filtering Techniques for Stochastic Dynamic Systems -- 5.2 Problem Formulation -- 5.3 Sequential Bayesian Inference for State Estimation -- 5.4 Examples -- 5.5 Notes and References -- Chapter 6: Model Predictive Control -- 6.1 Model Predictive Control: State-of-the-Art -- 6.2 General Principle -- 6.3 Dynamic Matrix Control -- 6.4 Nonlinear MPC -- 6.5 General Tuning Guideline of Nonlinear MPC -- 6.6 Discretisation of Models: Orthogonal Collocation Method -- 6.7 Pros and Cons of MPC -- 6.8 Optimisation -- 6.9 Example: Chaotic System -- 6.10 Notes and References -- Part Two: Tubular SOFC -- Chapter 7: Dynamic Modelling of Tubular SOFC: First-Principle Approach -- 7.1 SOFC Stack Design -- 7.2 Conversion Process -- 7.3 Diffusion Dynamics -- 7.4 Fuel Feeding Process -- 7.5 Air Feeding Process -- 7.6 SOFC Temperature -- 7.7 Final Dynamic Model -- 7.8 Investigation of Dynamic Properties through Simulations.
7.9 Notes and References -- Chapter 8: Dynamic Modelling of Tubular SOFC: Simplified First-Principle Approach -- 8.1 Preliminary -- 8.2 Low-order State Space Modelling of SOFC Stack -- 8.3 Nonlinear State Space Model -- 8.4 Simulation -- 8.5 Notes and References -- Chapter 9: Dynamic Modelling and Control of Tubular SOFC: System Identification Approach -- 9.1 Introduction -- 9.2 System Identification -- 9.3 PID Control -- 9.4 Closed-loop Identification -- 9.5 Notes and References -- Part Three: Planar SOFC -- Chapter 10: Dynamic Modelling of Planar SOFC: First-Principle Approach -- 10.1 Introduction -- 10.2 Geometry -- 10.3 Stack Voltage -- 10.4 Mass Balance -- 10.5 Energy Balance -- 10.6 Simulation -- 10.7 Notes and References -- Chapter 11: Dynamic Modelling of Planar SOFC System -- 11.1 Introduction -- 11.2 Fuel Cell System -- 11.3 SOFC along with a Capacitor -- 11.4 Simulation Result -- 11.5 Notes and References -- Chapter 12: Model Predictive Control of Planar SOFC System -- 12.1 Introduction -- 12.2 Control Objective -- 12.3 State Estimation: UKF -- 12.4 Steady-state Economic Optimisation -- 12.5 Control and Simulation -- 12.6 Results and Discussions -- 12.7 Notes and References -- Appendix A: Properties and Parameters -- A.1 Parameters -- A.2 Gas Properties -- References -- Index.
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Intro -- Title Page -- Copyright -- Preface -- Acknowledgments -- List of Figures -- List of Tables -- Chapter 1: Introduction -- 1.1 Overview of Fuel Cell Technology -- 1.2 Modelling, State Estimation and Control -- 1.3 Book Coverage -- 1.4 Book Outline -- Part One: Fundamentals -- Chapter 2: First Principle Modelling for Chemical Processes -- 2.1 Thermodynamics -- 2.2 Heat Transfer -- 2.3 Mass Transfer -- 2.4 Fluid Mechanics -- 2.5 Equations of Change -- 2.6 Chemical Reaction -- 2.7 Notes and References -- Chapter 3: System Identification I -- 3.1 Discrete-time Systems -- 3.2 Signals -- 3.3 Models -- 3.4 Notes and References -- Chapter 4: System Identification II -- 4.1 Regression Analysis -- 4.2 Prediction Error Method -- 4.3 Model Validation -- 4.4 Practical Consideration -- 4.5 Closed-loop Identification -- 4.6 Subspace Identification -- 4.7 Notes and References -- Chapter 5: State Estimation -- 5.1 Recent Developments in Filtering Techniques for Stochastic Dynamic Systems -- 5.2 Problem Formulation -- 5.3 Sequential Bayesian Inference for State Estimation -- 5.4 Examples -- 5.5 Notes and References -- Chapter 6: Model Predictive Control -- 6.1 Model Predictive Control: State-of-the-Art -- 6.2 General Principle -- 6.3 Dynamic Matrix Control -- 6.4 Nonlinear MPC -- 6.5 General Tuning Guideline of Nonlinear MPC -- 6.6 Discretisation of Models: Orthogonal Collocation Method -- 6.7 Pros and Cons of MPC -- 6.8 Optimisation -- 6.9 Example: Chaotic System -- 6.10 Notes and References -- Part Two: Tubular SOFC -- Chapter 7: Dynamic Modelling of Tubular SOFC: First-Principle Approach -- 7.1 SOFC Stack Design -- 7.2 Conversion Process -- 7.3 Diffusion Dynamics -- 7.4 Fuel Feeding Process -- 7.5 Air Feeding Process -- 7.6 SOFC Temperature -- 7.7 Final Dynamic Model -- 7.8 Investigation of Dynamic Properties through Simulations.

7.9 Notes and References -- Chapter 8: Dynamic Modelling of Tubular SOFC: Simplified First-Principle Approach -- 8.1 Preliminary -- 8.2 Low-order State Space Modelling of SOFC Stack -- 8.3 Nonlinear State Space Model -- 8.4 Simulation -- 8.5 Notes and References -- Chapter 9: Dynamic Modelling and Control of Tubular SOFC: System Identification Approach -- 9.1 Introduction -- 9.2 System Identification -- 9.3 PID Control -- 9.4 Closed-loop Identification -- 9.5 Notes and References -- Part Three: Planar SOFC -- Chapter 10: Dynamic Modelling of Planar SOFC: First-Principle Approach -- 10.1 Introduction -- 10.2 Geometry -- 10.3 Stack Voltage -- 10.4 Mass Balance -- 10.5 Energy Balance -- 10.6 Simulation -- 10.7 Notes and References -- Chapter 11: Dynamic Modelling of Planar SOFC System -- 11.1 Introduction -- 11.2 Fuel Cell System -- 11.3 SOFC along with a Capacitor -- 11.4 Simulation Result -- 11.5 Notes and References -- Chapter 12: Model Predictive Control of Planar SOFC System -- 12.1 Introduction -- 12.2 Control Objective -- 12.3 State Estimation: UKF -- 12.4 Steady-state Economic Optimisation -- 12.5 Control and Simulation -- 12.6 Results and Discussions -- 12.7 Notes and References -- Appendix A: Properties and Parameters -- A.1 Parameters -- A.2 Gas Properties -- References -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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