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Physical and Statistical Models for Steam Generator Clogging Diagnosis 2014 ed. [Pehme köide]

  • Formaat: Paperback / softback, 97 pages, kõrgus x laius: 235x155 mm, kaal: 1766 g, 42 Illustrations, color; 34 Illustrations, black and white; IX, 97 p. 76 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Applied Sciences and Technology
  • Ilmumisaeg: 07-Aug-2014
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319093207
  • ISBN-13: 9783319093208
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  • Formaat: Paperback / softback, 97 pages, kõrgus x laius: 235x155 mm, kaal: 1766 g, 42 Illustrations, color; 34 Illustrations, black and white; IX, 97 p. 76 illus., 42 illus. in color., 1 Paperback / softback
  • Sari: SpringerBriefs in Applied Sciences and Technology
  • Ilmumisaeg: 07-Aug-2014
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319093207
  • ISBN-13: 9783319093208
Clogging of steam generators in nuclear power plants is a highly sensitive issue in terms of performance and safety and this book proposes a completely novel methodology for diagnosing this phenomenon. It demonstrates real-life industrial applications of this approach to French steam generators and applies the approach to operational data gathered from French nuclear power plants. The book presents a detailed review of in situ diagnosis techniques and assesses existing methodologies for clogging diagnosis, whilst examining their limitations. It also addresses numerical modelling of the dynamic behaviour of steam generators and provides a thorough analysis of statistical methods for sensitivity analysis and dimension reduction. Steam generators are heat exchangers found in nuclear power plants and over time they become increasingly clogged by iron oxides. This clogging then hampers the flow inside steam generators and compromises their mechanical integrity, which hinders performanc

e and safety. This book is intended for nuclear safety specialists, nuclear performance engineers and researchers and postgraduate students working on heat exchanger modeling and computational engineering.

1 Introduction.- 2 Clogging of recirculating nuclear steam generators.- 3 State of the art of clogging diagnosis.- 4 Steam generator physical model.- 5 Sensitivity analysis.- 6 Sliced inverse regression.- 7 Statistical analysis of the physical model.- 8 New diagnosis method.- 9 Synthesis and usage recommendation.- Appendix A Characteristics of the type 51B steam generator.
1 Introduction
1(2)
References
2(1)
2 Clogging of Recirculating Nuclear Steam Generators
3(12)
2.1 Pressurised Water Reactor Power Plants
3(2)
2.2 Functioning of Recirculating Steam Generator
5(2)
2.3 Physical Measurement Near the Steam Generator
7(1)
2.3.1 Steam Generator Water Level Measurement
7(1)
2.4 Steam Generators Degradation by Iron Oxides Deposition
8(7)
2.4.1 Tube Support Plate Clogging
9(2)
2.4.2 Maintenance and Remediation Operations
11(1)
References
12(3)
3 State of the Art of Clogging Diagnosis
15(10)
3.1 Visual Inspection of Uppermost Tube Support Plate
15(4)
3.1.1 Uncertainty
16(1)
3.1.2 Equivalent Uniform Clogging Ratio
17(2)
3.2 Eddy Current Probes
19(1)
3.3 Wide Range Level Monitoring in Stationary Regime
19(1)
3.4 Analysis of the Dynamic Response of the Wide Range Level
20(5)
3.4.1 Selecting a Transient: The RGL 4 Scheduled Test
20(1)
3.4.2 Arbitrary Profile Diagnosis Method
21(1)
3.4.3 Choice of a Family of Clogging Configurations
22(1)
References
23(2)
4 Steam Generator Physical Model
25(18)
4.1 Model Structure
25(1)
4.2 Single-phase Flow: Primary Fluid Modeling
26(4)
4.2.1 Balance Equations for the Single-phase Flow
27(1)
4.2.2 Practical Set of Balance Equations for the Single-phase Flow
28(1)
4.2.3 Constitutive Equation for Single-phase Flow
29(1)
4.3 Two-phase Flow: Secondary Fluid Modeling
30(10)
4.3.1 Averaging Operators
31(1)
4.3.2 Void Fraction, Quality and Phases Velocity Ratio
32(1)
4.3.3 Balance Equations for the Two-phase Flow
33(3)
4.3.4 Constitutive Equations for the Two-phase Flow
36(4)
4.4 Tube Support Plates
40(3)
References
40(3)
5 Sensitivity Analysis
43(8)
5.1 Choice of Sensitivity Analysis Technique
43(1)
5.2 Sobol' Indices
44(4)
5.2.1 ANOVA Decomposition
45(1)
5.2.2 Computation of Sobol' Indices
46(2)
5.3 Sensitivity Analysis of a Functional Output
48(3)
5.3.1 Principal Component Analysis
48(1)
References
49(2)
6 Sliced Inverse Regression
51(8)
6.1 General Principle of Sliced Inverse Regression
51(2)
6.1.1 Inverse Regression Curve
52(1)
6.2 Algorithm of Sliced Inverse Regression
53(6)
6.2.1 Determination of the Projection Subspace Dimension
54(1)
6.2.2 A Remark on Input Sampling
55(1)
References
56(3)
7 Statistical Analysis of the Physical Model
59(16)
7.1 Preprocessing of the Wide Range Level Responses
59(1)
7.2 Sequential Sensitivity Analysis
60(2)
7.3 Dimension Reduction of the Output
62(4)
7.3.1 Principal Components of a Simulation Sample
64(1)
7.3.2 Principal Components of Sample of Measured Responses
65(1)
7.3.3 Looking Back at the Pre-processing
66(1)
7.4 Sensitivity Analysis of the Reduced Dimension Output
66(2)
7.5 Dimension Reduction of the Model Input
68(7)
7.5.1 Dimension of the Effective Dimension Reduction Subspace
69(1)
7.5.2 Effective Dimension Reduction Directions
70(1)
7.5.3 Correlation Between the New Input and Output Variables
71(3)
References
74(1)
8 New Diagnosis Method
75(18)
8.1 Conditioning the Diagnosis
75(1)
8.2 Definition of a New Clogging Indicator
76(2)
8.3 Application of the New Diagnosis Method
78(15)
References
92(1)
9 Synthesis and Usage Recommendation
93(4)
9.1 Synthesis of the Method Elaboration
93(1)
9.2 Usage Recommendations and Improvement Perspectives
94(3)
References
95(2)
Appendix: Characteristics of the Type 51B Steam Generator 97
Dr. Sylvain Girard current research interests are uncertainty analysis and dimension reduction applied to models of complex industrial and environmental systems. Since 2013, he has been working on the characterisation of uncertainties of radionuclides atmospheric dispersion models for the Institut de radioprotection et de sûreté nucléaire (IRSN).

Dr. Girard investigated nuclear steam generators clogging during his PhD at Électricité de France (EDF, the french electricity company and a leader in nuclear engineering worldwide) under the direction of Pr. Hans Wackernagel at École des Mines Paris Tech. He elaborated a new methodology for clogging diagnosis coupling physical and statistical modelling.