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《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

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发表于 2017-7-8 11:45:30 | 显示全部楼层 |阅读模式
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《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》
熔融碳酸盐燃料电池:建模、分析、模拟和控制
编辑:Kai Sundmacher, Achim Kienle, Hans Josef Pesch,Joachim F. Berndt, and Gerhard Huppmann
出版社:Wiley
出版时间:2007年

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》

《Molten Carbonate Fuel Cells:Modeling, Analysis, Simulation, and Control》


目录
Preface XI
List of Contributors XV
Part I Design and Operation 1
1 MTU’s Carbonate Fuel Cell HotModule 3
Gerhard Huppmann
1.1 The Significance of Fuel Cells 3
1.2 Basic Statements of Power Production and Combined Heat and Power
Systems 4
1.3 Fuels for Fuel Cells 5
1.3.1 Fuels Containing Gaseous Hydrocarbons 5
1.3.2 Synthesis Gases 6
1.3.3 Group of Gasified Hydrocarbons 7
1.3.4 Secondary Fuel 7
1.4 Why Molten Carbonate Fuel Cells 7
1.5 The Carbonate Fuel Cell and its Function 8
1.6 Optimisation by Integration: The HotModule Concept 11
1.7 Manufacturing 12
1.8 Advantages of the MCFC and its Utilization in Power Plants 13
1.8.1 Electrical Efficiency 13
1.8.2 Modularity 13
1.8.3 Inherent Safety 15
1.8.4 Environmentally Friendly – Pollution Free 16
1.8.5 Silent 16
1.9 History 16
1.9.1 The European MCFC Development Consortium 16
1.9.2 Continuing of the HotModule Development at MTU CFC Solutions 17
1.10 Possible Applications of MCFC Systems 20
1.10.1 Different Applications Using Different Fuels 20
V
1.10.2 Different Applications Using the Different Products of the MCFC
System 23
1.11 Economical Impacts 25
2 Operational Experiences 27
Mario Koch, Joachim Berndt, and Matthias Gundermann
2.1 Combined Heat and Power Plant of the Company IPF in Magdeburg 27
2.2 The HotModule in Magdeburg 27
2.3 Operation Experience 30
2.4 Results and Outlook 32
Part II Model-based Process Analysis 33
3 MCFC Reference Model 35
Peter Heidebrecht, and Kai Sundmacher
3.1 Model Hierarchy 35
3.2 General 36
3.3 Model Equations 40
3.3.1 Indirect Internal Reformer 41
3.3.2 Anode Channel 43
3.3.3 Combustion Chamber 45
3.3.4 Reversal Chamber 48
3.3.5 Cathode Channels 49
3.3.6 Electrode Pores 51
3.3.7 Solid Phase 53
3.3.8 Electric Potential 55
3.3.9 Reaction Kinetics 57
3.3.10 Thermodynamics 59
3.4 Summary 61
Bibliography 61
4 Index Analysis of Models 63
Kurt Chudej, Hans Josef Pesch, and Joachim Rang
4.1 Differential Time Index 63
4.2 MOL Index 68
4.3 Perturbation Index 69
4.3.1 Transformation to Homogenous Dirichlet Boundary Conditions 69
4.3.2 Abstract Problem 70
4.3.3 Perturbation Index 70
4.3.4 Garding-Type Inequality 71
4.3.5 Estimate for v andv 71
4.3.6 Estimate for u, w and w with Garding-Type Inequality 72
4.4 Conclusion 73
Bibliography 73
VI Contents
5 Parameter Identification 75
Matthias Gundermann and Kai Sundmacher
5.1 Experimental Work 75
5.1.1 Measurement of Cell Current and Cell Voltage 76
5.1.2 Temperature Measurement 76
5.1.3 Measurement of Concentrations 79
5.1.4 Measurement of Flow Rates 80
5.1.5 Conversion of the Measurements into Dimensionless Values 81
5.1.6 Measurement Errors 81
5.1.7 Measuring Campaigns 83
5.2 Strategy for Parameter Estimation 84
5.2.1 Determination of Relevant Parameters 84
5.2.2 Balancing of the Fuel Cell Plant 86
5.2.3 Sensitivity Analysis 93
5.2.4 Parameter Estimation for a Single Load Case 97
5.2.5 Parameter Estimation for the Whole Operating Range 99
5.2.6 Temperature Dynamics 103
5.3 Results of the Parameter Identification 104
5.3.1 Steady State Measurements 104
5.3.2 Plant Balancing and Error Minimisation 107
5.3.3 Parameter Estimation 109
5.3.4 Dynamic Measurements 113
5.3.5 Estimation of the Solid Heat Capacity 116
5.3.6 Evaluation of the Results 117
5.4 Summary 122
Bibliography 123
6 Steady State and Dynamic Process Analysis 125
Peter Heidebrecht, Matthias Gundermann, and Kai Sundmacher
6.1 Steady State Simulation 125
6.2 Current–Voltage Curve 132
6.3 Transient Simulation 133
6.4 Summary 139
Bibliography 140
7 Hot Spot Formation and Steady State Multiplicities 141
Michael Krasnyk, Michael Mangold, Achim Kienle, and Kai Sundmacher
7.1 Introduction 141
7.2 Models Nonlinear Analysis 143
7.2.1 Spatially Distributed Model 143
7.2.2 Lumped Model 145
7.3 Analysis of the Lumped FC Model 146
7.4 Analysis of the Spatially Distributed FC Model 152
Contents VII
7.5 Analysis of a More General High Temperature Fuel Cell Model 154
7.6 Conclusions 157
7.7 Appendix: Model Equations for Nonlinear Analysis 158
7.7.1 Equations of the Spatially Distributed Model 158
7.7.2 Equations of the Lumped Model 161
7.3.3 Model Parameters 162
Bibliography 162
8 Conceptual Design and Reforming Concepts 165
Peter Heidebrecht and Kai Sundmacher
8.1 Steady State Anode Model 166
8.1.1 General 166
8.1.2 Equations 167
8.1.3 Conversion Diagram 170
8.2 Applications of the Steady State Anode Model 173
8.2.1 Comparison of Reforming Concepts 173
8.2.2 Fuel Cell Cascades 175
8.2.3 Anode Exhaust Gas Recycling 178
8.2.4 Fuel Gas Sidefeed 179
8.3 Summary 181
Bibliography 182
Part III Optimization and Advanced Control 183
9 Model Reduction and State Estimation 185
Markus Gro¨tsch, Michael Mangold, Min Sheng, and Achim Kienle
9.1 Introduction 185
9.2 Development of a Nonlinear Reduced Model 186
9.2.1 Choice of Basis Functions 188
9.2.2 Treatment of Boundary Conditions 190
9.2.3 Resulting Reduced Model of the HotModule 191
9.3 Investigation of Observability 192
9.4 Design of an Extended Kalman Filter 193
9.5 Simulation Results 196
9.6 Experimental Results 196
9.7 Conclusions 197
Bibliography 199
10 Optimal Control Strategies 201
Kati Sternberg, Kurt Chudej, and Hans Josef Pesch
10.1 Model and Simulation Setting 202
10.2 Mathematical Methods 204
10.3 Optimal Control of a Load Change 205
10.4 Summary and Conclusion 209
Bibliography 209
VIII Contents
11 Optimisation of Reforming Catalyst Distribution 211
Peter Heidebrecht and Kai Sundmacher
11.1 Introduction 211
11.2 Objective Functions and Optimisation Parameters 212
11.3 Numerical Aspects 214
11.4 Results 216
11.4.1 Optimisation of Input Conditions at Constant Catalyst Density 216
11.4.2 Optimisation of the Reforming Catalyst Density Distribution 218
11.4.3 Optimisation of the Input Conditions for a System with Optimised
Catalyst Density 219
11.5 Summary 220
Bibliography 220
Appendices 221
A List of Symbols 223
B Benchmark Problem: Complete Set of Equations and Parameters 227
Peter Heidebrecht
B.1 Equations 227
B.2 Parameters 227
Index 235

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