1 / 66

Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013

Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013. NON INTRUSIVE ULTRASONIC FLOW AND TEMPERATURE MEASUREMENTS. Presented by: Yuri Gurevich. Material Prepared by: Leonid Chudnovsky Dr. Armando Lopez (AMAG) Dr. Yuri Gurevich (Daystar Technologies)

dyre
Download Presentation

Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 NON INTRUSIVE ULTRASONIC FLOW AND TEMPERATURE MEASUREMENTS Presented by: Yuri Gurevich Material Prepared by: Leonid Chudnovsky Dr. Armando Lopez (AMAG) Dr. Yuri Gurevich (Daystar Technologies) Brendan Sharp (AMAG) David Walker (AMAG) • References: • Metering of feed-water flow, temperature and thermal powerwith focus on applications in nuclear power plants, SP Workshop, Tokyo 2007, Washington 2009, Paris 2011, Shanghai 2013 • NRC SER • AMAG @ Daystar Presentations and Reports

  2. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 • TRACEABILITY AND UNCERTAINTY • IN FLOW MEASUREMENTS • USING CLAMP-ON ULTRASONIC METERS • AMAG’s ULTRASONIC NON INTRUSIVE CLAMP-ON CROSSCORRELATION METER - CROSSFLOW • RECENT EXPERIENCE OF CROSSFLOW APPLICATION IN NPP • Feedwater and Reactor Coolant Flow Measurements

  3. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 ….The assumption that laboratory calibration results are transferable to an in-plant configuration without additional in-plant calibration, without a complete uncertainty evaluation, and without traceability to a national standard. Alternatively, if in-plant calibration is used to eliminate this assumption, the weaknesses of in-plant calibration without a complete uncertainty evaluation and without traceability to a national standard may remain.

  4. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 TRACEABILITY AND UNCERTAINTY Challenges of achieving Traceability inFLOW MEASUREMENTS Challenges of achieving Traceability in FLOW MEASUREMENTS USING CLAMP-ON ULTRASONIC METERS SP Workshop Metering of feed-water flow, temperature and thermal power with focus on applications in nuclear power plants,, Tokyo 2007, Washington 2009, Paris 2011, Shanghai 2013

  5. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 Measurement – is Comparison of Unknown quantity with Known (Reference) Quantity This comparison is achieved by comparing Meter's responses generated by Reference and Unknown Inputs Calibration – is a process of obtaining Meter’s response generated by Reference Input Measurement – is a process of obtaining Meter’s response generated by Unknown Input

  6. Laboratory and Real Calibration Curve Laboratory Calibration Curve M R X Meter Response X Meter Response X X Reference Mass Input Reference Mass Input Error Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 Calibration and Measurement

  7. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 Traceability – FAIR comparison of the measured quantity to an accepted standard (Based on International Bureau of Weights and Measures or other equivalent agency) Components of TRACEABILITY Reference Quantity Calibration of the Measurement instrument (Meter) Measured Object Measurement Conditions Measurement Process Maintaining Traceability During Long Term Operation

  8. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 Flow is very sensitive to small disturbances No Laboratory is Available to Produce Feedwater Flow Conditions

  9. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 • • Instrument calibration alone does not guarantee • traceability of measurement. • • In Power Plants other factors are present which • influence the measurement in various ways. • • Different instruments are affected by different factors because of the differences in measurement principles. • Flow Characterization in terms of the Meter at the Meter Location – Key Factor in Providing Traceability

  10. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 • Instruments measuring key process values have to meet a high standard of: • Traceability to Standards • Characterization of fluid dynamic conditions at the point of measurement • Design of the calibration testing to ensure traceability • Continuous self-checking to detect any changes affecting the measurement caused by changes in fluid dynamic conditions. • • Reconciliation with other plant instrumentation

  11. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 Flow Conditionings by the Meter

  12. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 High Re Calibration Facility in Japan

  13. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013

  14. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 Only empirical data do not provide solid basis for extrapolation. Re Effect has to be extrapolated based on physics. International Cooperation for Research is necessary

  15. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 AMAG’s ULTRASONIC NON INTRUSIVE CLAMP-ON CROSSCORRELATION METER CROSSFLOW

  16. Turbulence Structure Real Turbulence Average Model

  17. Turbulence Structure

  18. Physics Transmitter Approaching Eddy Eddy Increased Ultrasound Velocity Flow Receiver

  19. Physics Turbulence Patterns A B • FLOW t = t0 t = t0 +Dt Cross-Correlation Dt Demodulation

  20. Alternative Technology CROSS CORRELATION / TRANSIT TIME Vm = L/ * Vm = TC2/(2Lcos ) Vm = L(T1-T2)/(2T1T2cos ) *  60ms T 1s

  21. Overview Products CROSSFLOW – Ultrasonic non-intrusive flow meter CORRTEMP – Ultrasonic non-intrusive temperature meter Algorithm and Communication Layer (ACL) – Software package for on-line monitoring and correction of Power Plant Feedwater flow and temperature instrumentation

  22. OverviewServices • Commissioning and operating support for CANDU power plants • Measurement of Neutron Flux distribution in CANDU Reactor during start-up • Measuring reactor coolant flow distribution during start-up • Measuring reactor coolant flow pump discharge and Inner and Outer Zone flow distribution during start-up • On-line monitoring of reactor coolant flow on safety shutdown channels during plant operation

  23. NIST/EPRI TEST PROGRAM 1997

  24. Chatou Flow Laboratory, EDF 1998

  25. Time Response data. NIST/EPRI Test Program 1997

  26. Example of Power Recovery and Power Up-rate

  27. OPEX: On-Line monitoring Venturi fouling

  28. Ratio of ASME Nozzles Readings to Cross-Correlation Readings for Each Pipe. OPG Material Ultrasonic flow meter readings are not corrected for the piping geometry

  29. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 Characterization of fluid dynamic conditions at the point of measurement Axial velocity profile downstream of out-of-plane elbows

  30. Example of Flow Characterization Flow characterization maps at two locations downstream of a 90-degree bend

  31. Feedwater Systems Reliability Improvement Meeting St Antonio, January 21-24, 2013 RECENT EXPERIENCE OF CROSSFLOW APPLICATION IN NPP Reactor Coolant Flow Measurements

  32. CANDU RCS

  33. CANDU RCS

  34. RCS Flow Parameters Pump Discharge Flow Rate – 3.2 m3/s Pump Discharge Flow Temperature – 250 Pressure 10.2 Mpa Pump Discharge Pipe Diameter – 22 in ID Outer Zone Header Pipe Diameter – 18in ID V = 13m/s Re> 54 Mln (Common Header)

  35. Objective of the Project Measurement of total Primary Heat Transport System flow rate, and Outer and Inner Reactor Zone flow distribution under the following conditions: • Cold • 0% Power Hot • Pump Trip, 3-Pumps Combination

  36. Approach • Objective is achieved by multiple installations of the clamp-on ultrasonic cross-correlation flowmeter CROSSFLOW (Total 4 flow transmitters are installed) • Installations Location: • Common header pipe downstream of the PHT Pump #2 and Pump #4 • Outer Reactor Zone Loop downstream of the PHT Pump # 2 and Pump # 4

  37. Approach

  38. Methodology – Major Steps Measurement of pipe dimensions prior to transducers installation to obtain pipe cross-section area Modeling of PHT Pump Discharge flow in controlled laboratory environment with accurate and traceable reference instrumentation Deriving Hydraulic Factors for each transducer location for 4 pumps and 3 pumps combinations Verification of Plant flow traceability to laboratory testing

  39. Modeling of PHT Pump Discharge Flow • Flow modeling is necessary to account for the possible effect of the pump and the Y on flow readings • Review of possible flow test facilities and selection of Utah University Flow Laboratory • Scaling of PHT flow to the laboratory conditions • Scaling Factors and modeling

  40. Selection of Test Facility Alden Flow laboratory Capable to represent real flow rate and real pipe dimensions. Not capable to model Common Header Installation downstream of the pump Utah State University Flow Laboratory Scale Model of Common Header and Outer Zone Loop Scale modeling of flow parameters

  41. Modeling of Pump Effect Pump design Piping configuration downstream of the pump Pump effect on turbulence spectrum for 4- pumps combination Modeling of 3-pump combination

  42. Test Model

  43. Modeling of Pump Effect

  44. Scaling Parameters • Piping Geometry normalized to pipe diameter • Pump Design – centrifugal 5 blades pump • Flow scaling frequency Ff =U/D • Pump Frequency Fp • Filters Frequency F1 and F2 • Frequency Scaling Factors: Ff/Fp; F1/Ff; F2/Ff

  45. Y- Modeling

More Related