KnE Energy & Physics | International Conference on Nuclear Energy Technologies and Sciences (2015) | pages: 106-114


Introduction

Nuclear energy is one of the alternative energy being considered by the Indonesian government to maintain availability of national energy. The existence of nuclear energy implemented to build Nuclear Power Plant (NPP). According to the existence of a nuclear power plant in reactor site is requires assessment of nuclear safety to monitor and minimize the impact this may have. According to this condition, determine analysis of the consequences of radionuclides releases to the environment and population. Based on this analysis it can be seen how big the consequences and the radiation dose to be public and the environment due to the condition of an accident on the rector. Radionuclides release into the environment and population can result from normal and abnormal operation of nuclear power plants. The mostly radionuclide release is through to the air, which is the radionuclide release to atmosphere.

Based on radioactive exposure pathway, radionuclide dispersion in the air will be partially deposited in the ground and will culminate in the environment through the food chain to population. The distribution of radionuclides in the atmosphere is determined by the parameters of the dispersion coefficient, while the deposition parameters are influenced by the dispersion parameter. Dispersion parameters will affected to the external and internal exposure coming from radioactive cloud, while the deposition parameters will affect to the internal and external exposure coming from radioactive deposition on the ground surface. Dispersion parameter is a parameter that is analyzed and written on the Safety Analysis Report (SAR) as part of Chapter on NPP accident analysis. Dispersion parameters can be estimated using Gaussian Plume Model (GPM) as used in computer codes TREX (Hungary), MACCS (Taiwan, USA), OSCAAR (Japan), LENA (Brazil ), and using Lagrangian Plume Model (LPM) as used in computer codes HYSPLIT (USA), NAME III (UK), MINERVE-SPRAY (CEA-France)[1,2,3,4,5,6,7]. Estimation data of dispersion parameters for Muria Peninsula site plant simulation analyzed using the PC-Cosyma code has been successfully carried out [8,9]. The dispersion parameter estimation data for a potential NPP site in Indonesia is very necessary used for build of NPP SAR document, such as for prospective new site is Bangka Belitung site. Since the dispersion coefficient data for the Bangka Belitung site have not been estimated, then the research in this field will estimated using MACCS (USA) code.

The purpose of this research is to obtain dispersion coefficient data to Sebagin (West Bangka) site using MACSS2 codes. In this research, the analysis of the dispersion coefficient and concentration of radionuclide releases for severe accident conditions in nuclear power plants with a capacity of 1000 MWe PWR reactor type. Results of this analysis are the of radionuclide dispersion patterns from nuclear power plant site and it can be able to fill on reactor accident analysis chapter in the SAR reactor. Postulation selected is a severe accident condition and the specific reactor site to be choose is Sebagin-West Bangka site. The analysis was performed for the dispersion coefficient of 8th fission product groups radionuclides are release from the NPP are the noble gas, lanthanides, precious metals, halogens, alkali metals, tellurium, cerium, strontium and barium groups. Calculations using removable fraction of radionuclides in PWR reactors Westinghouse is calculate using MELCOR code [10,11].

Theory

Atmospheric dispersion modeling is basically an attempt to describe the functional relationship between pollutants emissions accordance pathways and resulting of radiation concentrations of radiation. Beside this is to predict radiological consequences cause of radionuclide concentration and radiological dose from various hypothetical scenarios are determine. In this study of radionuclides release through the atmospheric model using segmented Gaussian model Plume Models (GPM)[12]. Gaussian Plume Models general equations written in the following formula;

(1)
χ(x,y,z)=Q2πσyσzυexp(y22σy2){exp[(zH)22σz2]+exp[(z+H)22σz2]}

with;

X (x,y,z) :

concentration in air (chi) in axial, x premises to wind direction, y = perpendicular to wind direction, and z = high to the ground level, (Ci/m3)

Q :

Radioactive release from stack, (Ci/s)

U:

average wind velocity (m/s)

σy :

segmented plume in horizontal direction (m);

σz :

segmented plume in vertical direction (m)

H :

effective high of stack (m)

y :

rectangular distance from wind direction (m);

z:

high distance from ground level (m);

X/ Q:

dispersion factor parameter (s/m3)

Magnitude early for calculation are a plum long L, vertical and horizontal standard deviation σy, σz as follows;

(2)
L=iΔtivi
(3)
σy(t=0)=wb4.3
(4)
σz(t=0)=Hb4.3

with;

Δti:

establishment time for segmentation plume

vi:

establishment velocity for segmentation plume

Wb:

width of the building where the plums are formed

Hb:

high of the building where the plums are formed

While the equation of the plume growth (plume are usually hot, so it will be grow up), it can be seen in the following equation;

(5)
Δh=1.6F1/3X2/3 u ¯

with ;

Δh:

magnitude of plume grow (m)

F:

flux buoyancy from segmentation plume is 8.79E-05 Q (m4/s3)

Q:

power distribution of heat (watt)

X:

distance of radial downstream wind (m)

ū:

average wind velocity (m/s)

Methodology

The research methodology includes a series of calculations and simulations based on postulations data, assumptions data and also based on secondary and primary data namely:

  • Source term Calculation for PWR type reactor with 1000 MWe power with postulation of accident is severe accident conditions of Station Black Out (SBO), and release fraction of calculation take from MELCOR calculation results of The Westinghouse PWR reactor with power 3411 MWTh.

  • Calculation of dispersion and deposition parameters using MACCS code

  • Reactor site input covering meteorology and topographical conditions were wind speed, weather stability, and solar energy in 16 wind direction and 12 radius distance (800 m, 1 km, 2 km, 3 km, 4 km, 5 km, 6 km, 7 km , 8 km, 9 km, 10 km, 15 km and 20 km from the

  • Nuclear power plant site. The selected topology data were taken from West Bangka data as well as the meteorological data were taken from the period of January to August 2012 with one hour interval time. The weather data is taken from 60 m from ground level and a chimney reactor height is 100 m

  • The calculation is done for the fission product releases to sequences within 1-96 hours.

Result and Discussion

1. Sourceterm Analysis

The analysis was first performed by calculating the reactor inventory. Further calculations was to determine reactor source term for severe accident conditions SBO using MELCOR fraction transport of severe accident SBO from PWR Westinghouse reactor with 3411 MWth power. It radionuclide fraction released results are shown in Table 1. Furthermore, in Table 2 the reactor source term assumed for this SBO accident.

Table 1

Fraction of Radionuclide Release from MELCOR Calculation

No. Radionuclide Group Release Fraction of Radionuclide from Reactor (MELCOR) GAP In-Vessel Ex-Vessel Late In-Vessel
1 Noble Gas (Xe/Kr) 1.23E-02 8.94E-01 8.19E-02 5.88E-03
2 Halogen (I) 4.58E-02 7.64E-01 6.80E-02 3.23E-03
3 Alkali Metal (Cs) 3.94E-03 6.40E-01 1.02E-01 2.41E-03
4 Te 4.97E-03 6.57E-01 2.65E-02 3.32E-03
5 Ba, Sr 4.97E-03 2.00E-03 2.35E-02 1.36E-09
6 Ru 4.97E-03 9.75E-03 2.09E-02 1.75E-05
7 Lathanium (La) 4.97E-03 1.06E-07 1.19E-04 1.93E-13
8 Ce 4.97E-03 1.01E-07 4.96E-03 1.34E-13
9 Mo 4.97E-03 4.61E-01 2.31E-10 3.44E-03
Table 2

Reactor Source term (Bq)

No. Radionuclides Source term (Bq)
1 KR-85 4.72E+10
2 KR-85M 9.99E+11
3 KR-88 2.47E+12
4 RB-86 2.26E+09
5 SR-89 4.92E+02
6 SR-90 4.23E+01
7 Y-90 4.68E-01
8 Y-91 2.97E-01
9 Y-92 1.05E+02
10 ZR-95 3.17E-08
11 ZR-97 3.00E-08
12 NB-95 3.19E-08
13 MO-99 5.21E+07
14 TC-99M 4.68E+07
5 RU-103 4.15E+07
16 RU-105 2.42E+07
17 RU-106 1.37E+07
18 RH-105 2.58E+07
19 SB-127 4.72E+10
20 SB-129 1.21E+11
21 TE-127 4.71E+10
22 TE-127M 6.09E+09
23 TE-129 1.36E+11
24 TE-129M 2.07E+10
25 TE-132 6.31E+11
26 I-131 1.18E+13
27 I-132 1.27E+13
28 I-133 2.36E+13
29 I-134 1.18E+13
30 I-135 2.04E+13
31 XE-133 8.55E+12
32 XE-135 3.61E+12
33 CS-134 1.91E+11
34 CS-137 1.11E+11
35 BA-139 5.42E+02
36 BA-140 8.68E+02
37 LA-140 1.53E+01
38 LA-141 2.58E-08
39 LA-142 1.91E-08
40 CE-141 8.55E-07
41 CE-143 7.84E-07
42 CE-144 6.46E-07
43 PR-143 2.95E-08
44 ND-147 1.23E-08
45 NP-239 1.00E-05
46 PU-241 5.83E-08
47 AM-241 2.40E-12
48 CM-242 5.63E-10
49 CM-244 6.91E-11

Release fraction in the reactor building depends on the type and character of fission products, and the noble gases have the largest release fraction for each place because of the nature of noble gases do not react with the material. As for fission products which is volatile type such as alkali metal (Cs) and halogen (I) has a little more fraction compare with the noble gases release. Based on released fraction of radionuclides from reactor core to the chimney (late vessel) as written in Table 1, the source term results are listed in Table 2.

Table 2 shows that radionuclide source term from the Noble Gas group (I, Xe and Kr) have a high level of radiation that is in order of 1012, this is because the Noble Gas has properties that cannot be filtered, so most of the radionuclides in this group can escape to the environment. Furthermore the source term results in Table 2 are used for the calculation of dispersion parameters and radionuclides concentration are dispersed through the ground and the air.

Weather Analysis in Sebagin Meteorology Station on West Bangka District

Weather analysis is conducted by describing the Wind Rose and it used to determine the direction and speed of the dominant wind blows from the nuclear power plant site in West Bangka district. Meteorological data are then used as input of the MACCS codes. The results of wind rose can be seen in Figure 1.

Figure 1

Anti wind rose (wind direction from NPP to Environment) of Sebagin Meteorology Station on West Bangka District

Images/Fig1.jpg

Figure 1 shows that the largest distribution of radionuclides to the South-East (zone 6 to 8), the West and the Southwest (zones 12 and 13) directions respectively. Based on Figure 1 can be determined safely zone for evacuation and relocation, which is in from the North to the North East-East (zones 1 to 3).

3. Radionuclide Dispersion Analysis

a. Dispersion Parameter X/Q

Dispersion parameter X/Q is influenced by radius distance and source term. Dispersion parameter X/Q decreases with increasing source term and radius distance of release. To determine the influence of the radius distance and release time to the dispersion parameter of fission product in the Sebagin-West Bangka site are listed in Figure 2.

Figure 2

Dispersion Parameter (X/Q) Fungsion of Time and Radius

Images/Fig2.jpg

Figure 2 shows that the dispersion parameter (X/Q) decreases as a function of time. It is also seen that the dispersion parameter also decreases as a function of distance. The highest dispersion parameters shown in the exclusion area is within a radius of 800 m from the reactor site. While the influence of disperse time as it relates to sequences release, ie release sequences under 8 hours have dispersion parameter (X/Q) is small, as it assumed that the source term still a small portion is released into the atmosphere. Figure 2 shows that the source term can be assumed to be whole releases to the atmosphere in the sequence of 24-96 hours.

b. Radionuclide Disperse Activity

Activity of radionuclide radiation dispersed through the air pathway be affected by the value of the dispersion parameter (X/Q), it mean that, by increasing the amount of activity it will increasing the dispersion parameter (X/Q) value as well. The calculation results of radiation activities are shown in Figure 2 and Figure 3.

Figure 3

Radionuclide Air Concentration Function of Radius

Images/Fig3.jpg

Figure 3 shows the distribution of radionuclides through air pathway decreases as a function of distance and it is proportional to the decrease of dispersion parameter value (X/Q) as shows in Figure 2. Figure 3 show that the greatest activity in a radius of 800 m in prospective nuclear power plant site which is an exclusion zone. Furthermore, from Figure 4 shows that the largest contributor of radionuclide exposure came from the I-131 at 52%, followed by Xe-133 by 40%, Cr-85M by 5% and Te-132 by 3%.

Figure 4

Percentage of Radionuclide Dispersion Release

Images/Fig4.jpg

Conclusion

The dispersion analysis of the PWR to the environment on a severe accident condition using MACCS code has been done for in the Sebagin-West Bangka site. The analysis were carried out for 24 – 96 hours after the accident occur, where in that period the whole of radionuclides has been disperse from the reactor to the environment. Dispersion parameter decreases as a function of radius from the nuclear power plant site. The largest dispersion parameter is 6.30E-05 in radius 800 m from reactor site. Also obtained radionuclide activity dispersed through the air to the environment and the percentage of this radionuclides respectively. The largest activity and percentage of radionuclide disperse to the air is come from I-131 radionuclide with value are of 1.24E+08 Bq/m3 and 52% respectively. By obtaining dispersion factor and radionuclide activity dispersed through the air, then the purpose of this research have been achieved.

References

[1] 

M Robert V Csilla L IstvanSimulation of Accidental Release Using a Coupled Transport (TREX) and Numerical Weather Prediction (ALADIN) ModelQuarterly Journal of the Hungarian Meteorological Service1141–2January – June2010101120

[2] 

J Moosung W. H SeokA Study on Risk Assessments Using the MACCS Code for a Nuclear Power PlantJournal of Nuclear Science and Technology4418422March2004

[3] 

D. I Chanin J. I Sprungcolleagues MELCOR Accident Consequence Code System (MACCS) User GuidesU.S Nuclear Regulatory CommissionWashington, DC 205552010

[4] 

P. D Juliana F. F Paulocolleagues, Atmospheric Dispersion and Dose Evaluation Due to the Fall of a Radioactive Package at a LILW FacilityInternational Journal of Energy Engineering31191262013

[5] 

G. D. Rolpha F. Ngana R. R. DraxlerModeling The Fallout from Stabilized Nuclear Clouds Using The HYSPLIT Atmospheric Dispersion ModelJournal of Environmental Radioactivity1364155October2014

[6] 

J. E Till A. S RoodcolleaguesComparison of the MACCS2 Atmospheric Transport Model with Lagrangian Puff Models as Applied to Deterministic and Probabilistic Safety AnalysisJournal of Health Physics1073213230September2014

[7] 

V. D François L Bertrand S VladimircolleaguesAtmospheric Transport Modeling with 3D Lagrangian Dispersion Codes Compared with SF6 Tracer Experiments at Regional ScaleScience and Technology of Nuclear Installations20072007) Article ID 3086313

[8] 

M. U Pande S. dan WidodoPenentuan Koefisien Dispersi Atmosferik untuk Analisis Kecelakaan Reaktor PWR di IndonesiaJurnal Teknologi Reaktor Nuklir142Juni2012121132

[9] 

M. U Pande K Sri J. S PaneAnalisis Kecelakaan Parah pada Pressurized Water Reaktor dengan Backwards MethodJurnal eknologi Reaktor.Nuklir151Februari20131226

[10] 

G. A Scott C. W KennethcolleaguesAssessment of Severe Accident Sourceterms in Pressurized-Water Reactors with a 40% Mixed-Oxide and 60% Low- Enriched Uranium CoreUsing MELCOR 1.8.5, SANDIA National LaboratoriesApril2010.

[11] 

X. Davoine M. BocquetInverse modeling-based reconstruction of the Chernobyl source term available for long-range transportAtmos. Chem. Phys.71549–1564200715501558

[12] 

M. Y Joong R. GlaserAtmospheric Dispersion Analysis Using MACCS2International Congress on Advances in Nuclear Power PlantsICAPP '04Pittsburgh. PA2004June1317United States2004.

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