Science and Technology of Nuclear Installations

Science and Technology of Nuclear Installations / 2017 / Article

Research Article | Open Access

Volume 2017 |Article ID 2960412 | https://doi.org/10.1155/2017/2960412

Mingjun Wang, Qiaolin Zuo, Hao Yu, Wenxi Tian, G. H. Su, Suizheng Qiu, "Multiscale Thermal Hydraulic Study under the Inadvertent Safety Injection System Operation Scenario of Typical Pressurized Water Reactor", Science and Technology of Nuclear Installations, vol. 2017, Article ID 2960412, 15 pages, 2017. https://doi.org/10.1155/2017/2960412

Multiscale Thermal Hydraulic Study under the Inadvertent Safety Injection System Operation Scenario of Typical Pressurized Water Reactor

Academic Editor: Iztok Tiselj
Received16 Jul 2017
Accepted10 Sep 2017
Published18 Oct 2017

Abstract

The Reactor Pressure Vessel (RPV) inlet nozzles and downcomer wall in Pressurized Water Reactors (PWR) may suffer serious thermal shock caused by cold water from reactor Safety Injection System (SIS) in some unexpected accident scenarios. It implies the formation of great temperature gradient on the inlet nozzles and RPV wall, leading to the localized stresses and propagation of possible flaws that appeared in the material. In this paper, the multiscale thermal hydraulic analysis was performed for Chashma Nuclear Power Plant (NPP) under the inadvertent SIS operation scenario. The primary loop and SIS were modeled using one-dimensional method, while the three-dimensional models of reactor cold leg, RPV inlet nozzles, and downcomer were established. Then, the inadvertent Safety Injection System operation scenario was simulated using RELAP5 code, providing the boundary conditions for three-dimensional Computational Fluid Dynamics (CFD) analysis. The fluid and solid coupling heat transfer simulation method was employed. Results show that the maximum temperature difference was about 80 K in the most conservative condition and the RPV inlet nozzle region was the most critical region during the accident. This work could provide in-depth understanding on the effect of cold coolant injection along the main pipes and RPV wall during the accident scenario.

1. Introduction

The Pressurized Thermal Shock (PTS) phenomenon study for Pressurized Water Reactor (PWR) has been a hot research topic for several decades. PTS is identified as one of the most important Nuclear Reactor Safety (NRS) issues since the primary loop boundary is one of the barriers against fission product release. In the event of Loss of Coolant Accident (LOCA) or some unexpected accident scenarios, the cold injection water from Safety Injection System (SIS) or Emergency Core Cooling (ECC) system flows to the cold leg and Reactor Pressure Vessel (RPV) downcomer, leading to the material rapidly cooling and great thermal loads on the reactor main pipes and RPV under pressurized conditions. The thermal stress is induced during the process and it would threaten the RPV structure integrity [1].

Generally, the PTS thermal hydraulic study is involved in the complex system operation and local detailed three-dimensional analysis. Therefore, the combination of different thermal hydraulic analysis scales is necessary in order to achieve more reliable results. The one-dimensional system analysis is used to study system performance during the transient scenarios. However, it could not give detailed three-dimensional temperature distributions of key components. The Computational Fluid Dynamics (CFD) study could achieve the detailed three-dimensional fluid-solid coupling heat transfer features, but currently it could not realize a long time scale transient calculation for a complex structure, such as reactor, due to the computational resources limit. Therefore, the multiscale method was adopted for the PTS thermal hydraulic study under the inadvertent Safety Injection System operation scenario of typical PWR in this work.

The nuclear power plant one-dimensional safety analysis is widely implemented using system codes, such as RELAP5, TRACE, and TRAC, which has been accepted by scholars around the world. In recent years, one of the main applications of CFD method for NRS is the PTS study, which is regarded as high priority in the Phenomena Identification and Ranking Table (PIRT) [2]. Therefore, most scholars focused on the detailed coolant mixing mechanism study for either single-phase or two-phase flow. The flow mixing in the PWR downcomer and lower plenum was studied using both experiment and CFD methods. It has been shown that the developed CFD model provided a good agreement with experiment [3, 4]. The NEPTUNE CFD 1.0.8 is a two-phase three-dimensional thermal hydraulic code and much validation work for PTS applications has been performed [5, 6]. This work substantiated the application of the tool for PTS studies. The specific large interfaces closure laws developed and implemented in NEPTUNE CFD considered not only the cells crossed by the large interface but also the two neighboring cells located in large interfaces normal direction [7, 8]. Onizawa et al. [9] made great efforts on the Probabilistic Fracture Mechanics (PFM) analysis code PASCAL (PFM Analysis of Structural Components in Aging LWR), which was developed at JAEA to evaluate the conditional failure probability of a RPV containing a flaw under transient conditions such as PTS. Some functions of PASCAL were improved such as the Monte Carlo method and the probability of crack detection by inspection and the graphical user interface. Jang [10] performed the sensitivity study of the thermal hydraulic for PTS study. In his work, the existing PFM code was modified to incorporate the uncertainties in thermal hydraulic inputs for the PFM analysis. The effects of uncertainties in the thermal hydraulic inputs for vessel failure probabilities were evaluated using the modified code. For the PTS accident scenarios selection, Woods et al. [11] described the process used to identify the PTS risk significant events for the Nuclear Regulatory Commission (NRC) PTS risk evaluation.

As stated above, some literatures were focused on the nuclear power plant transient safety analysis, while some were concentrated on the specific coolant mixing phenomenon study in a limited time scale. Very rare research was given consideration to the multiscale thermal hydraulic study for the reactor long time simulation. In this paper, the Chashma Nuclear Power Plant (NPP) was taken as the research object. The Reactor Coolant System (RCS) and the SIS were modeled using the RELAP5 code firstly [12, 13]. The inadvertent Safety Injection System operation transient scenario was simulated and investigated. The variations of important parameters with time were achieved, such as the flow rates and temperatures of injection water and primary loop coolant. Then one-dimensional analysis results were fitted as the polynomial and taken as the boundary input conditions for the CFD calculation. The commercial CFD software ANSYS-CFX [14] was utilized to simulate the detailed three-dimensional temperature fields of the inlet nozzles, T-junction, and RPV downcomer. The results achieved in this work could be used as the input for the RPV stress analysis and the structure integrity assessment.

2. Multiscale Methods

The procedure of multiscale thermal hydraulic study for Chashma NPP is shown as Figure 1. The one-dimensional and three-dimensional thermal hydraulic studies are performed sequentially to achieve the reliable temperature distributions, which could be taken as the inputs for stress analysis and structure integrity assessment for reactor key components.

The transient behavior of Chashma NPP was studied under the inadvertent Safety Injection System operation scenario. The temperatures of primary loop and SIS and flow rates of primary loop and SIS achieved through one-dimensional study were handled using MATLAB software as the inputs for the boundary and initial conditions of CFD simulation. Then the detailed thermal hydraulic characteristics of the primary loop cold leg inlet nozzles and RPV downcomer were obtained.

3. System Analysis

3.1. RCS Model

The Chashma NPP is a two-loop type PWR and the RCS was divided into several important parts according to the basic principles and processes of primary coolant system during system modeling, including the reactor core, pressurizer and pressure control system, steam generators, main pumps, and the corresponding pipes and valves. The diagram of RCS and RELAP5 nodalization is shown as Figure 2. The detailed nodalization description was introduced in the author’s previous paper [15]. The main parameters of Chashma NPP are listed in Table 1.


ParametersValue

Reactor thermal power998.6 MW
Operation pressure15.2 MPa
Arrange type of fuel assembly15 × 15
SG pressure (full power)5.4 MPa
Reactor type2 Loops PWR
Reactor outlet temperature315.5°C
Reactor inlet temperature288.5°C
Thermal designed flow rate3227.896 kg/s
Steam flow rate (each SG)280.56 kg/s

3.2. SIS Model

There are four high-pressure-safety-injection pumps in high pressure SIS, two of which compose a group whose inlets are connected to the refueling water tank through check valves and power-operation-isolation valves. All the inlets in the same group are connected to the outlets of the shutdown-margin pumps through power-operation-isolation valves. The outlets are connected to a header pipe which is divided into four branch pipes. The four pipes are connected to the cold legs or hot legs of RCS.

Under the condition of safety injection, the high-pressure-safety-injection pumps pump cold water from the refueling water tank to the reactor core. During the recirculation phase, the high-pressure-safety-injection pumps work as supplement of low pressure safety injection pumps, to pump the water in the containment sump back to the reactor core. The RELAP5 nodalization diagram of Chashma NPP SIS is shown as Figure 3.

3.3. One-Dimensional Model Verification

Generally, The RELAP5 code is a general transient analysis program for thermal hydraulic system and its application scope includes coolant loss accidents, running transient state, power supply lose, flow loss, and subcooling transient state. The RELAP5 code has been widely accepted for the system safety analysis of nuclear power plants. For a special work, the steady-state simulation could be used to verify the feasibility of the built RELAP model and the transient scenarios are simulated based on the steady state with the “Restart function”; in this paper, the steady-state simulation of Chashma NPP was performed firstly to verify the RELAP5 model established in this work. The whole system calculation reached steady state at about 3460 s. The comparisons between the calculation results and the rated full-power operation parameters obtained from the Chashma NPP design report are shown in Table 2. As can be seen in the table, the RELAP5 calculated values were in good agreement with the rated values. The maximum steady errors of key parameters are less than 2.0%, which is in the acceptable range. This demonstrates that the RELAP5 model established above is accurate and reliable. Based on the steady calculation model, the transient scenario was studied in the following section.


ParametersRELAP5 valueDesign valueError

Primary loop pressure (MPa)15.2615.20.39%
Reactor outlet temperature (°C)316.1315.50.19%
Reactor inlet temperature (°C)289.0288.50.17%
Primary flow rate (kg/s)3230.253227.8960.07%
SG mass flow rate (kg/s)283.62280.561.09%
SG pressure (MPa)5.5445.540.07%
Upper plenum flow rate (kg/s)31.6505732.27881.94%

3.4. Inadvertent Safety Injection System Operation

In this section, one-dimensional safety analysis of inadvertent Safety Injection System operation was simulated. The variations of SIS and primary loop coolant flow rates and temperatures with time were studied. In the scenario of inadvertent Safety Injection System operation, due to the unexpected action of the Safety Injection System valves, the cold water in SIS was injected into the reactor primary loop and the thermal shock damage would happen. According to the operating experience of nuclear power plant, this type accident has a relatively high frequency.

According to the logic of inadvertent Safety Injection System operation accident, the Safety Injection System was acted by mistake at 100 s. Then the reactor shuts down and the main pumps run out. The steam generator secondary water supply switched from the main water supply system to the auxiliary feed-water system after the trip signal. The important thermal hydraulics characteristics results are shown in Figures 4 and 5.

The variations of flow rates and coolant temperatures in Safety Injection System and primary loop during the accident scenario were shown in the figures. The reactor shuts down immediately receiving shut-down signal after inadvertent Safety Injection System operation. The cold water from Safety Injection System began to be injected into primary loop, leading to rising of the primary loop pressure, making the safety injection flow rate decrease. The maximum injection flow rate was about 13 kg/s. The coolant temperature declined from the beginning of this scenario. In this case, the thermal shocks could be loaded on the reactor cold leg inlet nozzles and RPV downcomer and it would bring great threat to the reactor safe operation.

4. CFD Simulation

In order to achieve the detailed three-dimensional temperature distributions of RPV inlet nozzles and downcomer wall, the CFD work was performed and the conjugate heat transfer simulation method was adopted to handle the coupling phenomenon between fluid region and solid region.

4.1. Geometry Model

The detailed three-dimensional models of Chashma NPP primary loop cold pipes and the RPV downcomer were established, as shown in Figure 6. The detailed RPV parameters are listed in Table 3. Considering the inlet effect, the length of inlet tube was extended. The fluid region and solid region geometry were generated separately for the fluid-solid coupling study. In this work, because the RPV lower plenum, the reactor core, and the upper plenum are not the research focus, they were all simplified using the equivalent resistance method.


ParametersUnitValue

Designed pressureMpa17.16
Designed temperature°C350
Shell material/SA-508C1
Total heightmm10705
Barrel outer diametermm3732
Shell inner diametermm3374
Shell wall thicknessmm175 (without reactor weld layer 4 mm)
Total volumem374.47
Junction inner diametermm700
Junction outer diametermm1050

4.2. Gridding

The hexahedral mesh with refined meshes near the wall was generated using ICEM software for the cold legs, nozzles, and downcomer fluid region, as shown in Figure 7. The CFD Best Practice Guidelines are intended to help researchers in solving heat transfer and flow problems effectively and accurately using CFD method. Following the Best Practice Guidelines for the use of CFD in Nuclear Reactor Safety Applications [16], the independent grid was achieved and the number of grids was about 2.0 million based on the mesh sensitivity study. The radiation regulatory segment was divided separately, and then the drag coefficient was set.

For the solid region, the mesh of pressure vessel was divided into two parts. The tetrahedral mesh was employed in the upper part, while hexahedral mesh was used in the lower part. Since the mass conservation, momentum conservation, and turbulence equations were not solved in the solid region, no large number of grids were required in this part. The detailed mesh condition is shown in Figures 8 and 9.

4.3. Mathematic Model

For the three-dimensional flow and heat transfer study, the continuity equation, momentum conservation equation, and energy conservation equation were established.  The continuity equation is  Momentum conservation equation iswhere is the Reynolds stress term.  Energy conservation equation iswhere represents the molecular diffusion while is the turbulent fluctuation diffusion. The thermal diffusion coefficient is composed of molecular diffusion and turbulent fluctuation diffusion.

The energy conservation equation in solid region iswhere is the density, is the thermal conductivity, thermal capacity, and is the energy source term.

There were several turbulent models in the ANSYS-CFX, and the well-known single-phase turbulence models are usually used to model turbulence of the liquid phase in Eulerian-Eulerian multiphase simulations. Based on the applicability of different turbulent models, the model was used for the subsequent analysis. The turbulent fluctuation kinetic energy and kinetic energy dissipation rate were achieved through the following equations:where is the turbulence viscosity coefficient, represents the effect of coolant flow direction on the production of turbulent kinetic energy, and is equal to 1.0 in case that the main coolant flow direction is vertical to the gravity direction, while is equal to 0.0 in case that the main coolant flow direction is parallel to the gravity direction.The production term of turbulent kinetic energy is is the kinetic energy caused by the buoyancy.

4.4. Fluid-Structure Interaction Model

The conjugate heat transfer method was adopted in order to simulate the fluid-structure interaction process. The solid conduction and convective heat transfer in pressure vessel are taken into consideration. The governing equations were established for each physical region during boundary coupling implementation. The temperature continuation and heat flux continuation boundary conditions were employed in this study.  Temperature continuation is  Heat flux continuation is

4.5. Boundary Conditions

The initial accident scenario was divided into three parts due to the parameter variation principle. The time intervals were 102 s–123 s, 123 s–150 s, and 150 s–186 s, respectively. Then, in each time interval, the CFD simulation boundary and initial conditions were input using fitted polynomials based on the system analysis results. Figures 10, 11, and 12 show the fitted boundary conditions in each time interval. The most conservative injection water temperature was assumed to be 283.15 K.

4.6. Inadvertent Safety Injection System Operation Analysis

Based on the above boundary conditions, mathematical models, the detailed solid region temperature distribution characteristics of RPV wall were studied in this section. Figures 13 and 14 show the RPV solid region temperature distributions at 102 s and 103 s, respectively. The Safety Injection System was put into operation by mistake at 100 s, but the RPV solid region temperature did not have great variation in the first several seconds. The solid region temperature was within the range of 561 K-562 K. The temperature difference is relatively small (about 0.8 K). The small temperature difference was mainly caused by the weak “stratification” and the nonisothermal crossing section effect. Also, the temperature distribution was not uniform due to the coolant counterclockwise rotating along the pressure vessel.

Figure 15 shows the RPV solid region temperature distribution at 110 s. The RPV solid region temperature was affected by the cold water from Safety Injection System and the vessel wall temperature decreased gradually. The lowest temperature of solid region decreased and the temperature gradient increased with time. The local temperature of nozzle region decreased to the 553 K at 110 s. The injection water flow rate reached the maximum value at about 150 s. The detailed three-dimensional temperature distributions of inlet nozzles and RPV wall at 150 s were shown as Figure 16. The significant temperature decreased in inlet nozzle region could be found. The lowest temperature was about 495 K and the approximate 70 K temperature difference was generated. Figure 17 shows the RPV wall temperature distribution at 185 s. During 150 s to 185 s, the injection water flow rate decreased from the maximum value. As illustrated from the results, the coolant counterclockwise rotated along the pressure vessel and the cold coolant was concentrated. The temperature of cold coolant center decreased with time and the maximum temperature difference was around 80 K.

Figure 18 shows the Safety Injection System coolant temperature distribution in the scenario of inadvertent Safety Injection System operation at the initial 4 seconds. The Safety Injection System started to inject cold water at 102 s. The coolant gradually flowed to the main pipe of primary loop.

As could be seen from Figure 19, the coolant from safety injection and the main coolant were fully blended at 111 seconds. The Safety Injection System pipe was full of coolant at 123 seconds and the Safety Injection System water mixed with coolant in the main pipes and flowed into the vessel together.

5. Conclusions

In this work, the multiscale method was implemented for the Chashma NPP thermal hydraulic study under the inadvertent Safety Injection System operation scenario. A fine model of primary loop and Safety Injection System was established using system analysis code RELAP5 and then the transient scenario was simulated. The transient variations of important thermal hydraulic parameters were achieved and investigated. The injected coolant mass flow rate increased sharply and then dropped gradually due to the increase of primary loop pressure. The maximum injection flow rate from Safety Injection System was about 13 kg/s during this scenario.

The detailed primary loop inlet nozzles and RPV geometries were established using three-dimensional method. The one-dimensional safety analysis results were fitted and imported to the CFD code as the initial and boundary conditions. Based on this model, the variations of RPV wall temperature distribution with time were achieved under the inadvertent Safety Injection System operation scenario for Chashma NPP. The maximum temperature difference was about 80 K and the most critical region was marked. The detailed three-dimensional thermal hydraulic simulation results provide the necessary input conditions for three-dimensional stress analysis for PTS study.

The multiscale simulation method could provide an effective and precise approach for the PWR PTS thermal hydraulic study. It is of great significance and meaningful for the reactor key equipment structure assessment and lifetime fatigue research.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Acknowledgments

This research has been supported by National Natural Science Foundation of China (no. 11705139).

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Copyright © 2017 Mingjun Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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