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

Detalles Bibliográficos
Autor principal: Qi, Yutong
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2013.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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