Development and Experimental Verification of the Numerical Simulation Method for the Quasi-Steady SWR Phenomena in an LMR Steam Generator

Eoh, Jaehyuk; Jeong, Ji-Young; Kim, Seong-O; Hahn, Dohee; Park, Nam-Cook

doi:10.13182/nt05-a3677

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…This could be important for the leakage detection in sodium/water heat exchangers. If the liquid sodium comes in contact with water or steam the oxygen of the water molecules reacts with the sodium and the hydrogen remains as gas phase in the liquid sodium [ 8 , 9 ]. For instance, if the sensor is located downstream the heat exchanger, then the detection of gas bubbles in the sodium will indicate a leakage of water in the heat exchanger.…”

Section: Introductionmentioning

confidence: 99%

Contactless Inductive Bubble Detection in a Liquid Metal Flow

Gundrum

Büttner

Dekdouk

et al. 2016

Sensors

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The detection of bubbles in liquid metals is important for many technical applications. The opaqueness and the high temperature of liquid metals set high demands on the measurement system. The high electrical conductivity of the liquid metal can be exploited for contactless methods based on electromagnetic induction. We will present a measurement system which consists of one excitation coil and a pickup coil system on the opposite sides of the pipe. With this sensor we were able to detect bubbles in a sodium flow inside a stainless steel pipe and bubbles in a column filled with a liquid Gallium alloy.

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Section: Introductionmentioning

confidence: 99%

Contactless Inductive Bubble Detection in a Liquid Metal Flow

Gundrum

Büttner

Dekdouk

et al. 2016

Sensors

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“…Since the intermediate heat transport system connecting the reactor to SGHXs is a closed loop, the pressure and temperature transients in the cover gas area of an expansion tank of the loop represent the dynamic behaviour of the loop as a whole [30]. Therefore, once a relationship between the cover-gas pressure and mass flow rate into the loop due to the CO 2 ingress is determined, the SGHX failure can be monitored by cover-gas pressure measurements.…”

Section: Problem Formulationmentioning

confidence: 99%

“…The residual by pressure measurement data as a black curve of Figure 7 was compared with the calculated L (green dashed line) at k d (blue dashed line) time. The mean µ = 9.9054 × 10 −2 MPa was subtracted from the pressure to yield a residual as in Equation (30). As shown in Figure 7 The results by the model-based method as the proposed approach in this paper and data-based method explained in Section 4 were compared.…”

Section: Case Studymentioning

confidence: 99%

“…For example, the remote testing methods that rely on accurate physics-based models of the induction machine were patented (the on-line diagnostic monitoring system for motor operating valves) [29]. For SFR SGHX systems, the physical relations were extensively studied by Eoh et al [30]. In the study, the generated hydrogen amount increases the internal loop pressure in a fairly short period of time, and this pressure surge is less dependent on the loop flow rate or disturbed flow by an in-flow obstacle.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Physics-Based Monitoring Algorithm Detecting CO2 Ingress Accidents in a Sodium-Cooled Fast Reactor

Kim

Eoh

et al. 2018

Energies

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One of the benefits of the supercritical CO 2 Brayton cycle in Sodium-cooled Fast Reactors is an enhanced plant safety, since potential reactions of CO 2 with liquid sodium have been reported to be less stringent than a sodium-water reaction found in the Rankine cycle. However, moderate chemical interactions between CO 2 and liquid sodium make detecting CO 2 ingress accidents harder. Thus, this paper proposes a new physics-based detection algorithm by comparing the real-time pressure measurements of two identical heat exchangers for the early detection. The CO 2 ingress occurs owing to a crack at the pressure boundary wall, a certain self-recovery of structural damage does not happen over time, and an accident probabilistically starts at only one component of two. The proposed physics-based method with the probabilistic analysis was compared to the pure data-based method. Finally, the damage degradation was developed with a simplified mass and energy transfer model, and the proposed algorithm was verified with experimental data. The results show that a 99.99% detection probability can be achieved for the air ingress of 30 cc/s, which is equivalent to the 0.12 g/s CO 2 ingress, in a 70 s detection time, limiting down to 0.1% false alarms due to sensor noise.

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