Epjn 200018
Epjn 200018
REGULAR ARTICLE
Received: 13 July 2020 / Received in final form: 3 December 2020 / Accepted: 21 December 2020
Abstract. We show with simplified numerical models, that for the kind of RBMK operated in Chernobyl:
– The core was unstable due to its large size and to its weak power counter-reaction coefficient, so that the power
of the reactor was not easy to control even with an automatic system.
– Xenon oscillations could easily be activated.
– When there was xenon poisoning in the upper half of the core, the safety rods were designed in such a way that,
at least initially, they were increasing (and not decreasing) the core reactivity.
– This reactivity increase has been sufficient to lead to a very high pressure increase in a significant amount of
liquid water in the fuel channels thus inducing a strong propagating shock wave leading to a failure of half the
pressure tubes at their junction with the drum separators.
– The depressurization phase (flash evaporation) following this failure has produced, after one second, a
significant decrease of the water density in half the pressure tubes and then a strong reactivity accident due to
the positive void effect reactivity coefficient.
– We evaluate the fission energy released by the accident
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0),
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2 B. Mercier et al.: EPJ Nuclear Sci. Technol. 7, 1 (2021)
Fig. 9. Control rods are raised to the upper limit with poisoning.
Fig. 7. Control rods are raised to the upper limit without
poisoning.
Table 1. Results of the insertion effect of control rods a change of flow rate in the pressure tubes (see [9]). In
(k∞ values). normal operations, film boiling (DNB), and then significant
variations of the steam quality x, should be avoided. At full
CPS state Reactor state power, we have x = 0.14 at the top of the core. Film boiling
starts above x = 0.2. We have no detailed information on
No xenon poisoning Xenon poisoning the flow rate tuning at intermediate powers, but we can
Raised to the 1:2509 ± 2:2 104 1:2370 ± 2:1 104 assume that the void effect contribution to the power
upper limit reactivity coefficient was limited in normal operations.
As specified in [8], in some (incidental) situations, the
Inserted 1:2466 ± 2:1 104 1:2419 ± 2:2 104
power coefficient could be positive so that a power increase
could cause a power excursion.
As explained in WIKIPEDIA, the inlet temperature in
in a state of xenon poisoning, they locally increase the the pressure tubes results from a mixture between
reactivity, which led to a surge in energy and triggered the feedwater, which is at a low temperature, and recirculating
first explosion. water which is at saturation temperature. At low power,
the feedwater flow rate is low so that the inlet temperature
2.1 Evaluation of the migration area is “dangerously close to the saturation temperature.”
As indicated in INSAG-7 [1], p. 105, in our study, we
We know that (see e.g. [5]), when we use the one group 1D shall consider that the power coefficient is weakly negative,
axial model, we have and this is sufficient, as we shall see, for the reactor to be
difficult to control.
keff ¼ k∞ = 1 þ l0 M 2 ð1Þ
4 Safety test
where l0 = p2/H2 is the smallest solution of the eigenvalue
problem:
The detailed sequence leading to the accident has been
described in several papers like INSAG-7 [1] or GRS121 [7].
d F
2
¼ l0 F; 0 < z < H; Fð0Þ ¼ FðHÞ ¼ 0: There are 2 4 = 8 main circulation pumps on the
dz2 RBMK. At full power 2 3 = 6 are expected to deliver
8000 m3/h each. As indicated by INSAG-7 [1], p. 8, fewer
To evaluate the migration area M2 it is appropriate to
pumps are used during normal start-up or shutdown
perform two Monte-Carlo calculations : one with the
operations. The specific test which was planned required
leakage boundary conditions in z = 0 and z = H, which will
2 4 = 8 pumps to run simultaneously. However for some
give keff, and the other one with fully reflective boundary
reasons, the reactor power was much lower than expected,
conditions which will give k∞. Then we use (1). We find
so that the feedwater flow rate (coming from the condenser)
M2 = 190 cm2.
was low and the inlet temperature in the core was close to
The ratio M/H is an indicator to measure the stability
the saturation temperature of the recirculating liquid
of a nuclear reactor. According to reference [3], M/H in
water. So, when 4 pumps out of 8, as expected by the safety
PWR is approximately 0.025, while M/H in the RBMK
test, suddenly stopped, there has been a sudden jump in
reactor obtained here is approximately 0.020, this means
reactivity due to the void effect. This may have also been
that in terms of xenon oscillation, the RBMK core is more
the initiating event.
unstable than the PWR.
According to [7], in the Chernobyl accident, the staff
carried out inappropriate manipulation of the pilot bars,
which led to a rapid decline in reactor power. To alleviate
5 Basic equations describing the xenon
the power decline, they raised too many absorber rods. poisoning
This move put the upper part of the core under xenon
poisoning. It can be seen from the above conclusion that For simplicity, we shall consider 1D axial oscillations
the instability of the RBMK core has been one reason for only.
the accident. Like in [3] we shall use the following one group model:
dY P
3 Stability and reactivity control ¼g F lY ð2Þ
dt f
Table 2. Typical values for the parameters introduced in Table 3. Adjustment rules of the position of control rod.
our model.
p Dm p Dm
l 2:92 105 s1 v
P
0.0317
p < 0.95 +5 1.01 p < 1.02 1
m 2:12 105 s1 0.24 cm−1
Pf 0.95 p < 0.97 +3 1.02 < p 1.03 2
g 0.064 0.0129 cm−1
0.97 p < 0.98 +2 1.03 < p 1.05 3
s 2.106 barns
0.98 p < 0.99 +1 p > 1.05 5
where:
– Y (resp. X) is the concentration of 135 135
53 I resp: 54 Xe in of (long) control rods inserted from above that were used
the fuel evaluated in at/cm3 of fuel for automatic control. In what follows, we shall consider
– s is the microscopic capture cross section for xenon in the two types of control:
thermal
P domain (evaluated in barns) – non symmetric control where only control rods inserted
– f is the macroscopic fission cross section of the fuel in from above are used for automatic control.
the thermal domain – “Symmetric” control where both control rods inserted
– g the iodine fission yield (about equal to .064 for UO2 from above and control rods inserted from below are used
fuel) for automatic control. They move from the same number
– l (resp. m) 135
the time
constant for the b decay of of steps at each time, however, we give them different
135 weight.
53 I resp: 54 Xe
– F = F (z, t) is the thermal neutron flux In the first case, we shall have:
– M is the
2
Pmigration area
– a = vs/ (
P , where v is the fuel volume fraction in the core 0; 0 < z z0
and the absorption macroscopic cross section of the eðzÞ ¼
homogeneous core without xenon poisoning e0 ; z 0 < z < H
– e = e (z) is the additional absorption induced by the
insertion of control bars. whereas in the second one (we let z1 = H z0) we shall
have:
We shall assume that k∞ ¼ k0∞ : ð1
b FÞ and b is the
prompt power feedback coefficient. It takes the Doppler 8
effect into account but also, in a simplified way, the < e1 ; z z 0
>
moderator effect and the void effect. For stability it is eðzÞ ¼ 0; z0 < z z1 :
>
:
necessary that b > 0. e2 ; z > z1
When X = X (z) and e = e (z) are given, we notice that
equations (4) and (5) is an eigenvalue problem which gives The principle of our control is to adjust z0, that is, the
the infinite multiplication factor k∞ at zero power. insertion of controls rods, to stabilize the total power.
To obtain a non zero power, we must select k0∞ > k∞ However, for practical reasons, we shall assume that z0 can
and the core power will depend on k0∞ k∞ . only take discretized values, namely an integer number
The system (2)–(5) is a non linear system of differential m ∈ {0, 70} times 10 cm (note that for the core of a RBMK,
equations with a constraint. H = 7 m).
Both an implicit and a semi-implicit scheme are The total power is proportional to the average thermal
introduced in [3] for its solution. flux in our equations. Assume that at t = t n we have
In what follows, we shall use the semi-implicit scheme obtained (Fn) (Xn) and (Yn), and the position of control
and the values given in Table 2 for the parameters of our rods at the last time t = tn1 is mn1.
model. First, let p = ave (Fn)/ave (F0) we adjust m according
to p which is the ratio between the average flux at t = tn
and at t = 0. Then we make mn = mn1 + Dm by defining
6 Simulation of the automatic control Dm as shown in Table 3 above.
of the rods The second step of adjustment is to verify if the control
rod is in an extreme position. When the control rod is
Here is what INSAG-7 says “When the reactor was almost totally extracted, which means that m(n1) + Dm is
operated at low power (…) the operator had mainly to small, the reactivity is insufficient for the core. Hence, we
rely on the (…) ex-core detectors. However (…) they could propose an increment Dk∞ to the reactivity as if we
not indicate the average axial distribution of flux, since extracted totally another control rod, then we reset m to a
they were all located in the mid-plane of the core.” To small value which means we insert the control rod deeply
simulate the instability of the core at low power, we have into the core. Moreover, when the control rod is almost
introduced an appropriate feed-back law for the control totally inserted, we propose a similar method. The details
rods. of our model are shown in Table 4.
In Section 2 we have specified that there were 32 short After these two steps of adjustment, we obtain m(n) for
control rods inserted from below and an arbitrary number resolution in the next time step.
B. Mercier et al.: EPJ Nuclear Sci. Technol. 7, 1 (2021) 7
We have simulated the temporal evolution of the core 6.2 Simulation with “symmetric” control
during 40 h starting from the initial values, with e0 = 0.01.
Figure 11 −shows the evolution of the average thermal flux We have selected e1 = 0.002 and e2 = 0.005, in other words
in the core, which also represents the power output of the the weight of the control rods inserted from below is 2.5
reactor. We can see that at the beginning, the average flux times less than the weight of the control rods inserted from
has a sudden decrease and a following sudden increment. above. However it is sufficient to give some stability as
That is the consequence of the insertion of the control rods. shown on Figures 13 and 14.
The average flux starts to oscillate in a small amplitude but Using both control rods inserted from below and control
with a high frequency. This relatively stable state lasts for rods inserted from above is then a key factor to stabilize the
the first 17 h. Remarkably, between t = 7 h and t = 8.5 h the core power. Even so, we see that the frequency of control
average flux evolves smoothly. Then at t = 17 h the rods tuning is quite high and this can be achieved with an
oscillation becomes much more drastic than before. That electronic control only.
is caused by our system of unsymmetric control rods.
To understand what happens, we should have a look to
Figure 12 which gives the neutron flux profile with respect
7 Hydrodynamic simulation of the coolant
to time. We see that a xenon oscillation develops: before in the pressure tubes
t = 17 h, the power is higher in the lower part. After, this is
just the reverse. In this section we try to explain why, when the operators
But a one step insertion of the control rods from above pressed the AZ-5 button to command the reactor scram,
(i-e 10 cm) has much more effect on the reactivity when the nothing happened for a (short) while.
power is higher in the upper part. The reactor being unstable, its power was difficult to
During our whole simulation, the maximum and control. Moreover, when 4 of the 8 recirculating pumps
minimum of the average flux are 3.21 1013n/(cm2 ⋅ s) were stopped, the (limited) void effect induced a reactivity
and 1.34 1013n/(cm2 ⋅ s) compared to the initial average increase so that the operators decided to command the
flux which was equal to 2.30 1013n/(cm2 ⋅ s). reactor scram.
8 B. Mercier et al.: EPJ Nuclear Sci. Technol. 7, 1 (2021)
For the liquid water, we select (see Corot [10] Tab. 6.1):
∂t ∂u
¼0 ð7Þ
∂t ∂a
∂u ∂p
þ ¼0 ð8Þ
∂t ∂a
∂E ∂
þ ðpuÞ ¼ 0 ð9Þ
∂t ∂a
Fig. 14. “Symmetric” control. The colour code is from green
(initially) to red (final time). where t = 1/r and E = e + u2/2 is the total energy per unit
mass.
To solve this system numerically we shall use the so-
called acoustic scheme (see [11]). We introduce a mesh of
As we explained before, due to xenon poisoning in the the Lagrange coordinate a such that
upper part of the core, during the first second, the insertion
of safety bars still increased (rather than decreased) the . . . ai2 < ai1 < ai < aiþ1 < aiþ2 . . . :
reactivity of the core.
We can assume that, at this point there was no prompt We also introduce a time discretization as follows
criticality yet, but that the fission power increase has been
sufficient to transfer a significant amount of energy to the 0 < Dt < 2Dt . . . < nDt < ðn þ 1ÞDt < . . .
liquid coolant which has been instantaneously transformed Integrating equations (7)–(9) for ai a ai+1 and
in (very) high pressure state at the origin of a strong nDt t (n + 1) Dt and we get
propagating shock in the pressure tubes. Assume that the
pressure of the coolant was p = 8 MPa and its volumic nþ1 nþ1
tnþ1
iþ1=2 t iþ1=2
n
u 2 ui 2
mass was r = 722 kg/m3 (i.e. the volumic mass of the iþ1 ¼0 ð10Þ
liquid at saturation) so that its specific internal energy is Dt aiþ1 ai
B. Mercier et al.: EPJ Nuclear Sci. Technol. 7, 1 (2021) 9
nþ1 nþ1
iþ1=2 uiþ1=2
unþ1 n
p 2 pi 2
þ iþ1 ¼0 ð11Þ
Dt aiþ1 ai
nþ1 nþ12
iþ 1=2 E iþ1=2
Enþ1 n
ðpuÞiþ12 ðpuÞi
þ ¼0 ð12Þ
Dt aiþ1 ai
Besides, a discretization of time in these instants is Fig. 16. Cooling system of the RBMK reactor.
One can see that, if we choose b = z and h = Kz/2ℓ, the Some researchers have also estimated the energy
function released of the Chernobyl accident. For example,
H ðtÞ ¼ b tanhðhtÞ Pakhomov-Dubasov [12] estimated that the energy
released is equivalent to 10t TNT, which means 42
is a solution to the differential equation (19). GJ. And Malko obtained a result of 200t equivalent
By using the initial conditions of our system [5] we can TNT, which means 837 GJ [13]. Our evaluation of the
derive that energy is closer to the first one, but there is still a
significant difference. We can try to analyze the reason
2ℓ r2
z2 ¼ P0 þ 2 : which may cause the disparity. First, the former research
K K considers the impact of the reactor poison. This poison
Hence, we have obtained the analytical solution of can effectively absorb the thermal neutrons, so it could
our system. In particular the maximum value for prevent the increment of power, which results in less
2
r2
energy released. As for the latter research, it does not
P m ¼ Kz
2ℓ ¼ P 0 þ 2Kℓ And the total energy released is give more details about the estimation, but our model
r r only estimates the energy released by the reactivity
Q∞ ¼ lim QðtÞ ¼ lim GðtÞ þ ¼zþ : accident. In fact, there may be some energy released in
t!þ∞ t!þ∞ K K another way, as the explosion of the pressure vessel in
Finally, we can apply the data to estimate the energy the core.
released.
In the RBMK reactor, the neutron mean lifetime is
mainly determined by the diffusion time, which is about the 9 Conclusion
order of 102s [5] so we could choose ℓ = 0.01 s in our
model. For the initial power, we choose P0 = 1000 MW for The subject of our work is to use simplified models to better
the reason that the operators started the test when the understand the Chernobyl accident. We had the following
power was 200 MW and after a rapid increment of power five targets.
they actuated the emergency shutdown system. The basic – To show that, from its very design, an RBMK is more
extra reactivity is caused by the void effect which is unstable than a PWR: to keep constant power is not an
equivalent to 5 $ = 5v of reactivity [7] so we choose easy matter and requires an automatic regulation. The
r = 4 $ = 2400 pcm. The heat capacity of the fuel UO2 is initiating event, which leads to the accident, is when the
c = 216J ⋅ kg1 ⋅ K1 and the total mass of fuel in the core is operating staff decided to switch from automatic to
m0 = 190 t. [2] As for the fuel temperature coefficient, we manual control.
have a = 1.2 105 K1 according to the INSAG-7 report. – To show that, in some situations, the design of emergency
Hence the total energy released is Q∞ = 165 GJ and the control rods can lead to reactivity (rather than
maximum power is Pm = 99 179 MW and it is reached at antireactivity) injection when the emergency shutdown
tm = 2.48s. system is activated.
12 B. Mercier et al.: EPJ Nuclear Sci. Technol. 7, 1 (2021)
– To show that if the reactivity injected in the core is too Di YANG has implemented and tuned the automatic
high, this can produce a strong shock wave which will control of the rods with iodine and xenon evolution. He has
propagate in the fuel channels. also made the evaluation of the energy released by the
– Such a shock wave will eventually break at least half the reactivity accident.
fuel channels which induces depressurization of the Jiajie LIANG has implemented the hydrodynamic
coolant. Our target was to show that this phase takes a models, both for the steam explosion and for the
few seconds. depressurization phase.
– To evaluate the fission energy released by the reactivity
accident induced by the void effect.
Concerning our work, we have done the following References
researches.
– By using TRIPOLI-4 (R), we have evaluated the 1. International Nuclear Safety Advisory Group, The Chernobyl
migration area M2. This is a contribution to target 1 accident: updating of INSAG-1 (International Atomic
since it is well known that the smaller M/H (where H is Energy Agency, Vienna, 1992)
the height of the core) the more significant the instability 2. D. Kalashnikov, APOLLO2 calculations of RBMK lattices.
is in the case of xenon poisoning. We have also shown that France, 1998:34
3. B. Mercier, Z. Ziliang, C. Liyi, S. Nuoya, Modeling and
when there is xenon poisoning in the upper half of the
control of xenon oscillations in thermal neutron reactors, EPJ
core, the insertion of emergency absorbing bars leads to a
Nucl. Sci. Technol. 6, 48 (2020)
significant reactivity increase. 4. T. Corot, B. Mercier, A new nodal solver for the two
– We have developed a one-dimensional axial model of the dimensional Lagrangian hydrodynamics, J. Comput. Phys.
RBMK core showing its low stability and a strategy for 353, 1–25 (2018)
controlling the overall reactivity of the core. Unfortu- 5. P. Reuss, Fission nucléaire, réaction en chaine et criticité
nately, even with such a control the power is still (EDP Sciences, 2016, 91940 - Les Ulis France)
volatile. 6. T.V. Holschuh, W.R. Marcum, Modified Fuchs-Nordheim
– As for the thermal-hydraulic properties of RBMK, we model for use in reactor pulse measurements, Ann. Nucl.
have taken two processes during the accident into Energy 116, 314–318 (2018)
account. We have developed a one-dimensional Lagrange 7. GRS-121, The accident and the Safety of RBMK-Reactors, 1996
model of the steam explosion, in which we have studied 8. B. Barré, P. Anzieu, R. Lenain, J.B. Thomas, Nuclear reactor
velocity of the shock wave. We have considered the systems: a technical historical and dynamic approach (EDP-
stiffened gas as an approximation of the real situation. Sciences, 2016, 91940 - Les Ulis France)
Concerning the following depressurization process, we 9. A. Kaliatka, E. Ušpuras, R. Urbonas, Verification and
have developed as well a one-dimensional model based on validation of RELAP5 code against Ignalina NPP and E-108
the Wilkins’ scheme to simulate its duration. test facility data // Trans. of International Meeting on
– We have used the Nordheim-Fuchs model, which is a “Best-Estimate” Methods in Nuclear Installation Safety
point reactor model, to evaluate the fission energy Analysis BE-2000, 16–18 November 2000. Washington, USA.
released by the reactivity accident. 27 p
10. T. Corot, Numerical simulation of shock waves in a bi-fluid
flow: application to steam explosion. Conservatoire national
Author contribution statement des arts et metiers CNAM, 2017
11. B. Després, Numerical methods for Eulerian and Lagrangian
Ziyue ZHUANG has implemented the TRIPOLI models to conservation laws (Springer International Publishing, Cham,
evaluate both the migration area and the reactivity 2017)
induced in the core by the insertion of control rods with 12. S.A. Pakhomov, Y.V. Dubasov, Estimation of explosion
or without xenon poisoning. energy yield at Chernobyl NPP accident, Pure Appl.
Bertrand MERCIER has provided the general idea for Geophys. 167, 575–580 (2010)
this work, the equations and the numerical methods for the 13. M.V. Malko, The Chernobyl reactor Design features and
xenon poisoning, for the automatic control of the rods and reasons for accident 11–27 (2016). https://inis.iaea.org/
for the hydrodynamic simulations. search/search.aspx?orig_q=RN:48080457
Cite this article as: Bertrand Mercier, Di Yang, Ziyue Zhuang, Jiajie Liang, A simplified analysis of the Chernobyl accident, EPJ
Nuclear Sci. Technol. 7, 1 (2021)