Prediction of the Siltation in the Intake of Nuclear Power Plant Using the Water Depth Monitoring and Coupled Model

2011 ◽  
Author(s):  
Shin Bum-shick ◽  
Kyu-han Kim
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Water Depth ◽  
Nuclear Power ◽  
Coupled Model

The evaluation of TRACE/PARCS model for BWR-4 nuclear power plant by startup test transient analyses

Kerntechnik ◽  
2021 ◽  
Vol 86 (5) ◽  
pp. 353-364
Author(s):  
J.-J. Huang ◽  
S.-W. Chen ◽  
J.-R. Wang ◽  
C. Shih ◽  
H.-T. Lin ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Power Level ◽  
Reactor Core ◽  
Coupled Model ◽  
Level System ◽  
Transient Responses ◽  
Neutron Kinetics ◽  
High Power Level

Abstract Generally, the thermal hydraulic (TH) codes need the results of Neutron Kinetics (NK) codes providing the reactivity properties to calculate neutron flux. Then the TH codes perform the safety analyses obtaining the responses of pressure, temperature, or water level. Two kinds of different codes calculate different physical behaviors sequentially and separately. Simultaneously computing thermal hydraulic and neutron kinetics behaviors can enhance the accuracy of the analysis. Hence, it is crucial to develop the TH-NK coupled model. This study presents the capability of the TH-NK coupled model, developed by TRACE (TRAC/RELAP Advanced Computational Engine) and PARCS (Purdue Advanced Reactor Core Simulator), for the BWR-4 nuclear power plant. The establishment of the TRACE/PARCS model presented the nodal and component modeling methodologies. This model was used to simulate two startup tests of high power level system transients. Principal system responses, calculated by the TRACE/PARCS model, were compared with the measured data in startup tests and the results of the point kinetic calculation of the TRACE (TRACE/PK) to evaluate the model. The evaluation shows that the TRACE/PARCS model can simulate the interaction between thermal hydraulic and neutron kinetics phenomena and predict the transients suitably. Through the comparison, the TRACE/PARCS model can be confident doing the analyses of normal and abnormal operational transients to predict the transient responses.

scholarly journals Simulation of Drainage Capacity in a Coastal Nuclear Power Plant under Extreme Rainfall and Tropical Storm

2019 ◽  
Vol 11 (3) ◽  
pp. 642 ◽  
Author(s):  
Shuangling Wang ◽  
Wanshun Zhang ◽  
Fajin Chen
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Water Depth ◽  
Nuclear Power ◽  
Extreme Rainfall ◽  
Flood Routing ◽  
Return Periods ◽  
Combined Model ◽  
Wave Overtopping ◽  
Drainage Capacity

To ensure the safety of coastal nuclear power plants, accurately simulating water depth due to flooding resulting from heavy rainfall and tropical storms is important. In this paper, a combined model is developed to analyze and simulate the drainage capacity in a coastal nuclear power plant under the combined action of extreme rainfall and wave overtopping. The combined model consist of a surface two-dimensional flood-routing model, a pipe network model, and an offshore wave model. The method of predictive correction calculation is adopted to calculate the node return flow. The inundated water depth varying with time for different design rainstorm return periods (p = 0.1 and 1%) was simulated and analyzed by the combined model. The maximum inundated water depth is calculated for the important entrances of the workshop. The model was validated and calibrated with the data of the rainfall, outflow discharge, and flow velocity measured on 23 June 2016 in plant. Modeling indicates that the simulated depths are consistent with the observed depths. The results show that the water depths in the left and right of the nuclear power plant are 0.2–0.4 m and 0.3–0.8 m, respectively. The water depth increases of Monitoring Point 22 are the largest in different design rainstorm return periods (p = 0.1 and 1%), which increase by 16% for a rainstorm once every thousand years compared to events occurring once in one hundred years. The main factor influencing water accumulation is wave overtopping, and the seawall, revetments, and pipe system play an important role in decreasing the inundated water depth. Through scientific analysis, a certain decision-making basis has been provided for flood disaster management and a certain security guarantee has also been provided for regional sustainable development.

scholarly journals The impact of oceanic circulation and phase transfer on the dispersion of radionuclides released from the Fukushima Dai-ichi Nuclear Power Plant

2013 ◽  
Vol 10 (2) ◽  
pp. 3677-3705 ◽  
Author(s):  
Y. Choi ◽  
S. Kida ◽  
K. Takahasi
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Ocean Circulation ◽  
Bottom Sediments ◽  
Nuclear Power ◽  
Phase Transfer ◽  
Kuroshio Extension ◽  
Coupled Model ◽  
Oceanic Circulation ◽  
The Impact

Abstract. The mechanism behind the dispersion of radionuclides released from the Fukushima Dai-ichi Nuclear Power Plant on March 2011 is investigated using a numerical model. This model is a Lagrangian particle tracking – ocean circulation coupled model that has the capability of solving the concentration of radionuclides for those dissolved in seawater and those adsorbed in particulates and bottom sediments. Model results show the radionuclides dispersing rapidly to the interior of the North Pacific along the Kuroshio Extension once they enter a meso-scale eddy. However, radionuclides are also found to remain near the coast with their spatial pattern depending strongly on the oceanic circulation during the first month of the release. This is when most of the adsorption to bottom sediments occurs. If the offshore advection were weak during this period, many radionuclides will be adsorbed to bottom sediments and remain on the coast for some time. If vertical mixing is weak, less radionuclide reach the sea floor and get adsorbed to bottom sediments. More radionuclides will then disperse to the open ocean.

Study on the Siltation in the Intake of Nuclear Power Plant Using Longterm Water Depth Monitoring and Coupled Modeling

2015 ◽  
Vol 744-746 ◽  
pp. 1188-1193
Author(s):  
Bum Shick Shin ◽  
Kyu Han Kim
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Water Depth ◽  
Equilibrium Condition ◽  
Nuclear Power ◽  
Bottom Topography ◽  
Coastal Areas ◽  
Tidal Currents ◽  
Nuclear Plant ◽  
Plant Operation

Scarce natural resources make it imperative for Korea to exploit nuclear power plant technology to supply energy for industrial purposes not to mention for everyday usage. Korea’s nuclear power plant started when Gori Nuclear Plant started its operation in 1978 and as of today, there are 4 nuclear plants nationwide including the Gori Nuclear Plant, making up 38.2% of all of Korea’s energy supply. Since ‘waste heat’ is generated as a result of plant operation, sea water is needed for cooling purposes and therefore plants are situated near coastal areas. However, the effect on the coastal area such as erosion, deposition, and siltation from the construction of the plant itself is subject of continuing controversy and another being the effects on the coastal environment from warm water that is produced after the cooling process. Generally, topographic change is maintained in equilibrium by the tidal currents’ reciprocating motion in the coastal areas where there are dominant tidal currents. However, artificial action on the current flow for operating a nuclear plant operation at the intake and the outlet breaks the equilibrium of the tides and this in the end results in disturbing the equilibrium condition of bottom topography. This research used the results of long term investigation data of water depth and data of flow discharge conducted inside the intake to investigate erosion and the change in siltation at the intake of the nuclear power plant. After having analyzed the changes in water depth of the intake area, the results confirmed that there are 100~140cm/year and 80~300 cm/year of excess siltation at the middle area and both sides, respectively. After artificial dredging which is conducted every two years, siltation had proceeded at a substantial pace, and after some time, the pace has slowed down to its normal rate, going towards equilibrium condition. This research used the siltation pace change acquired from monitoring results to formulate coupled model in order to predict the change of water depth which will take place due to artificial construction of the intake in the future more precisely.

Fuzzy multi-objective decision making approach for nuclear power plant installation

2020 ◽  
Vol 39 (5) ◽  
pp. 6339-6350
Author(s):  
Esra Çakır ◽  
Ziya Ulukan
Keyword(s):  
Linear Programming ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Energy Supply ◽  
Energy Demand ◽  
Nuclear Power ◽  
Power Plants ◽  
Total Duration ◽  
Objective Functions ◽  
Multi Objective

Due to the increase in energy demand, many countries suffer from energy poverty because of insufficient and expensive energy supply. Plans to use alternative power like nuclear power for electricity generation are being revived among developing countries. Decisions for installation of power plants need to be based on careful assessment of future energy supply and demand, economic and financial implications and requirements for technology transfer. Since the problem involves many vague parameters, a fuzzy model should be an appropriate approach for dealing with this problem. This study develops a Fuzzy Multi-Objective Linear Programming (FMOLP) model for solving the nuclear power plant installation problem in fuzzy environment. FMOLP approach is recommended for cases where the objective functions are imprecise and can only be stated within a certain threshold level. The proposed model attempts to minimize total duration time, total cost and maximize the total crash time of the installation project. By using FMOLP, the weighted additive technique can also be applied in order to transform the model into Fuzzy Multiple Weighted-Objective Linear Programming (FMWOLP) to control the objective values such that all decision makers target on each criterion can be met. The optimum solution with the achievement level for both of the models (FMOLP and FMWOLP) are compared with each other. FMWOLP results in better performance as the overall degree of satisfaction depends on the weight given to the objective functions. A numerical example demonstrates the feasibility of applying the proposed models to nuclear power plant installation problem.

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