3.1. MELCOR Default Chemical Reaction Model Results
In order to evaluate the chemical reaction occurring between the lithium contained in the PbLi and the air in the building, further analyses were developed by using liquid lithium as a working fluid. The DEBb scenario was considered as the reference case for the evaluation of the chemical reaction. This is the most severe scenario, in which the largest amount of PbLi is leaked inside the building. When the chemical reactions started, the whole amount of liquid lithium in the building was simulated under stagnant conditions. Indeed, compared to the release time of the out-vessel loss of PbLi presented in
Section 2.2, the chemical reactions occurring between Li and air were very slow. Lithium was set at 330 °C, and the simulation ended when lithium was entirely consumed. Three different cases were analyzed by accounting for different sizes of the building’s surface where the lithium is released. To do so, the ratio between the diameter (D) and the height (h) of the pool zone of the CVH130 was reduced: in the three investigated cases, the surface of lithium reacting with the air in the building is reduced of ½ and ¼ on the second and third cases, respectively. Indeed, the aim of this parametric study was investigating how the evolution of the chemical reactions is influenced by a different size of the lithium pool surface. In terms of pool geometry, case 3 better represented the condition of a real scenario, where the lost liquid metal was leaked in the confined area closest to the rupture.
During the DEBb, about 670 tons of PbLi leaked in the building in about 880 s. Therefore, according to the assumptions reported in
Section 1.2, 4555 kg of liquid lithium were located inside the building. Indeed, by considering the proportion between grams of lithium and lead contained inside the alloy Pb
83Li
17, the amount of lithium in mass was about 0.68%. Lithium reacted with O
2 and N
2, which were included in the atmosphere of the building at 21 and 79%, respectively. From the reactions, Li
2O and Li
3N were generated as aerosol products. The liquid lithium was assumed to spread over the whole surface of the building by generating a pool height of 0.0155 m. It is an unrealistic case, where a non-confined PbLi region is assumed. However, in this scenario, the maximum lithium pool surface reacting with air at the starting time was simulated, resulting in the most severe and conservative case to be analyzed.
In
Figure 9, the graph on the left side shows the consumption of liquid lithium and the related formation of Li
2O and Li
3N products, while the graph on the right side depicts the consumption of both N
2 and O
2. Lithium consumption started immediately, but the velocity of the reactions was very low. About 3200 s were needed to let 280 kg of lithium react with about 170 and 270 kg of O
2 and N
2, respectively. After 3200 s, 1500 kg of lithium reacted with the air in less than 800 s. In this time window, the production rate of both Li
2O and Li
3N increased. However, lithium consumption was mainly due to the formation of the Li
3N. Indeed, according to the reactions reported in
Section 1.3, each mole of N
2 and O
2 reacted with 6 and 4 moles of lithium, respectively. Furthermore, the reaction with N
2 was faster compared to the reaction involving O
2, and at about 4000 s, a steady-state condition was reached, and the Li
3N quantity remained constant; thus, the consumption of N
2 ends. Therefore, after 4000 s, the reaction between O
2 and lithium occurs under simulated conditions, and the production of Li
2O goes on until all the liquid lithium is consumed.
According to the experiments reported in [
3], Merrill experienced a limit into the production rate of the Li
3N, while the production of the Li
2O continued until lithium was consumed or a film/crust on the pool surface was generated. Merrill stated the reason for the nitrogen rate limit is unclear but supposed it was influenced by the temperature reached during the reaction. When the temperature overcomes 1030 °C, the reaction rate starts decreasing, suggesting that thermochemical conditions above 1030 °C are no longer favorable. In particular, above 810 °C, lithium nitride melts and the phase equilibrium constant for the lithium–nitrogen reaction becomes 1.0 at a temperature of about 950 °C, suggesting that, above this temperature, Li
3N should start to decompose. Based on the experiments reported in [
3], Merrill adjusted the lithium–air chemical model. Here, the reaction rate was assumed to proceed as fast as oxygen or nitrogen can diffuse to the lithium pool surface through the gaseous boundary layer above this surface.
Figure 10 shows the variation in the temperature and pressure of the building atmosphere as a consequence of the chemical reactions. According to the evolution of the chemical reactions, the temperature increases from 25 to 1000 °C after 4000 s to then reach 1200 °C at about 8000 s. In the same way, the pressure increases up to 0.4 MPa during the first 4000 s and then up to 0.45 MPa at 8000 s. Both values remained constant up to the end of the simulation. Another interesting aspect to be analyzed was the energy released by the consumption of O
2 and N
2. In
Figure 11, the graph on the left side depicts the variation in the specific internal energy of O
2 and N
2, while the effective energy evaluated as a function of the mass variation between two consecutive steps is shown in the graph on the right side.
In this frame, the pressure and temperature main variation occurring at 4000 s was mainly driven by the consumption of N2 when it reacted with lithium. Indeed, even if the O2 specific energy was higher, a larger amount of N2 reacted with lithium at 4000 s, generating a larger mass reduction.
Figure 12 shows lithium consumption occurring in the three scenarios. When the ratio D/h decreases, the surface of the liquid metal pool interacting with the air reduces, delaying the sharp Li mass reduction. A weaker reduction is initially observed in all cases; however, while, in the first case, the onset of the sharp reduction occurs at around 3200 s, in the second and third case, it is shifted to 21,000 and 149,000 s, respectively. The reduction trend occurs according to the generation of Li
2O and Li
3N reported in
Figure 13. In all cases, the reaction between lithium and oxygen still occurred until the lithium mass was completely consumed, while the production of Li
3N stopped in the first case at 3200 s. In the other two cases, it did not reach the steady-state condition, showing an ongoing evolution stopped by the total consumption of the lithium mass. When the pool surface facing the air reduces, the amount of N
2 reacting with the liquid metal at a given time reduces strongly without reaching the saturation condition.
Figure 14 depicts the pressure and temperature trends obtained in the three investigated scenarios. The pressure overcame 0.2 MPa in all cases; however, no effects of safety actions to mitigate the accidents in terms of loop isolation or PbLi area delimitation are included in the simulations. Furthermore, by assuming the releases will concentrate in the zone around the rupture occurring in the cold leg, the third scenario turns to be the most realistic case. In this scenario, a pressure of 0.2 MPa and a temperature of 900 °C were overcome only after 41 h without any safety operation. In all cases, the N
2 consumption generated by the reaction with lithium drove the accident determining the rate of the pressure and temperature increase. Indeed, according to
Figure 15, the N
2 effective energy reached higher values in all cases.
Effect of Building Nodalization
This section presents an analysis of two different configurations for the nodalization of the building. This work was carried out in order to evaluate the impact of the nodalization of the building in the prediction of the reaction rate and, consequently, the evolution of the temperatures inside the building. The work presented in the previous sections on the chemical reaction assumed the building to be representable as a single volume. Even though this assumption can be considered acceptable as the first approximation, it raises the issue of the availability of the reactants for the reaction; that is, using one single volume, the whole number of reactants is considered immediately available for the reaction, without the establishment of a concentration gradient (not possible in a single volume) nor natural circulation inside the building. Of course, these two phenomena cannot affect the final value of the calculation, but they might have a strong impact on the transient, on the velocity of the reaction, and, therefore, on the velocity of the pressurization of the building.
The first modified nodalization is shown in
Figure 16. In this case, the building volume was divided into a vertical stack of 5 sub-volumes, with the lithium pool being present only on the volume on the bottom. The amount of lithium was the same as the one considered in the single volume phase.
Figure 17 shows the pressure evolution inside the building; it is interesting to see that, in this case, the pressure increase is much lower than the single volume case, and this might indicate a significant difference in the chemical reaction rate. However, as shown in
Figure 18, the temperatures in the volumes show an anomalous distribution that cannot be considered real: the temperature gradient is extremely discontinuous, and this means that the heat transfer in between the volumes due to convection is probably strongly underestimated. This is probably due to difficulties in simulating natural circulation with this particular nodalization layout. Furthermore, the time evolution of the reaction does not seem to be affected, since the temperature of the volume containing the lithium pool (blue line in
Figure 18) shows the same trend as the single volume, with an increase of almost 1000 °C in 1000 s.
The second nodalization under study tried to facilitate the establishment of natural circulation in the atmosphere region, dividing the building nodalization into several sub-volumes; the nodalization is shown in
Figure 19. It is composed of seven volumes, connected through several flow paths. The lowest volume contains both atmosphere and the lithium pool, whilst the remining six, which lie above, contains only air.
It was found that, in this case, the onset of the chemical reaction causes the formation of a strong natural circulation, with extremely high flow rates of air through the volumes. These high mass flow rates of air from the pool tend to equalize the temperature in all the volumes, leading to results similar to the single volume case, with an almost homogenous temperature in all the volumes and the same time evolution for pressure and temperature.
3.2. PbLi–Air Chemical Reaction: Analytical Model
The final temperatures obtained with the transient simulations presented in
Section 3.1 were verified through a simple analytical model. This analysis was important to confirm the order of magnitude of the temperature increase, since the numerical calculations provided an estimation which can be deemed critical to a certain extent. Furthermore, the objective of this analysis is to also understand the possible impact of the thermal capacity of the lead, which is left in the building once all the lithium is consumed; the MELCOR reaction model cannot consider this aspect. The reactions considered were those between Li and O
2 and between Li and N
2, namely (1) and (2), as described in
Section 1.3.
Several assumptions were made, in order to simplify the calculation:
The final thermal equilibrium is between the atmosphere and pool;
All lithium contained in the PbLi eutectic is considered reacting and, therefore, considered for the final energy balance;
Two cases were analyzed in order to provide thresholds for maximum temperatures:
- ○
First case: all lithium reacts with only oxygen;
- ○
Second case: all lithium reacts with only nitrogen;
The heat of the reaction was assumed to be independent of the temperature.
The calculation entails a simple energy balance as follows:
where
is total amount of energy released by the reaction,
is the total mass,
is the specific heat at constant volume, and
is the temperature; concerning the subscripts,
stands for air,
for lead, and
and
for final and initial states, respectively.
It is important to notice that Equation (3) considers only air and lead as final fluids, neglecting the presence of Li2O and Li3N, since the contribution in terms of energy balance is deemed not relevant; the dominant term is the lead thermal capacity. Indeed, the model used for calculating the final temperature considers the presence of lead rather than the presence of lithium alone, this is necessary since lead represents an enormous thermal inertia, being 99.4% of the total mass of the lead–lithium alloy. The assumptions are that the entire amount of lithium contained in the alloy will react with the air and that the lead and the air will reach thermodynamic equilibrium and, therefore, have the same final temperature.
Considering the two reactions separately, defining
as the molecular weight of lithium, the total value of
in (3) can be calculated, for the two reactions, as follows:
where
and
are the heats of reaction of the involved reactions. The main parameters are summarized in
Table 7.
Figure 20 shows the variation in the final temperature of the lead and air in the building considering different percentages of the mass of lithium reacting. The highest value is due to the lithium–oxygen reaction, and it reaches almost 1800 °C when lithium is fully consumed.
Figure 20 also shows that the final temperature, considering the reaction with only nitrogen, can be significantly lower, with the highest value being slightly less than 600 °C. As a matter of fact, in reality, the two reactions happen together; therefore, another calculation is shown in
Figure 20, with the final temperatures calculated according to the reaction ratio provided by MELCOR. Following the MELCOR results, at the end of calculation, around 1000 kg of N
2 and 3000 kg of O
2 reacted with lithium (see
Figure 9), meaning that the reaction ratio in moles is about 38% of N
2 and 62% of O
2 consumed. This value was used to obtain the weighted average temperature shown in
Figure 20. Considering this trend, the final temperature is significantly reduced, surpassing 1000 °C after 70% of lithium is consumed as opposed to 45%, which is the case with only O
2 reaction, and the temperature with 100% lithium (worst case scenario) drops to almost 500 °C.
The values for the temperatures obtained with the analytical model confirm the order of magnitude of the variation in the temperature found with MELCOR in the case where lithium is entirely consumed. Nevertheless, some uncertainty remains because the two temperatures are relatively close, and this does not seem correct since the analytical model considers the thermal capacity of lead, whilst the numerical model does not; in other words, according to the analytical calculation, MELCOR temperatures should be significantly higher.
3.3. Chemical Model Through MELCOR Control Functions
Considering the work presented above, it is not possible to draw a definitive conclusion on the final temperatures after the postulated accidents. Indeed, as mentioned above, one of the main shortcomings of the computational model with the MELCOR code is the absence of the liquid lead mass during the simulation of the chemical reaction. The simple analytical model presented in
Section 3.2 showed that the thermal capacity of the lead might actually have a significant role in the determination of the transient and final temperature inside the building; this can also affect the calculated pressure and have an effect on the discharge of the lead lithium. Therefore, it was deemed important to develop a model that could simulate the lead–lithium transient discharge after rupture, as well as present at least energy release from the chemical reaction.
To address this issue, the University of Pisa implemented a model exploiting the Control Functions feature provided in MELCOR. With this model, it is possible to use lead–lithium as the working fluid and, at the same time, have an estimation of the impact of the chemical reaction on the accidental transient and final stationary conditions in the building. The CFs are used to first calculate the amount of lithium that enters the building at each time step (that is, 0.6% of the lead–lithium mass) and then the energy released, assuming the whole mass of lithium is reacting with the air; after that, the reaction energy is added as an energy source to the atmosphere and the liquid mass contained in the building. The mole fraction of oxygen, nitrogen, and vapor water is used as weight to calculate the mass fraction of lithium which will react with each element.
Figure 21 shows the flowchart scheme of the Control Functions and Control Variables, whilst
Table A1 (in
Appendix A) lists all the elements involved and presented in the flowchart.
It is worth noting that this approach also allowed us to add a simplified model for another chemical reaction which was not part of the original model for the lithium–air reaction, that is, the reaction with vapor water, which is expressed as follows:
Results
Figure 22 and
Figure 23 present the results obtained with MELCOR Control Functions compared with the results obtained with the default MELCOR model (red lines and blue lines, respectively), in terms of pressure and temperatures in the building. It is clear that the two transients differ strongly, both considering the evolution of the thermodynamic states and the final values.
The sudden increase seen with the MELCOR CFs (red lines) is due to fact that this approach considers the lithium inside the PbLi alloy reacting instantaneously with the humid air, and, therefore, the reaction starts as soon as the rupture occurs; on the other hand, with the default model, the kinetics of the reaction is taken into account, as explained above, even though it only considers pure lithium. It is also interesting to note the pronounced difference between the temperature of the liquid and that of the atmosphere in the pure lithium case, due to the necessity of starting with a pool of liquid lithium that cannot be at a temperature lower than around 500 K (the melting temperature is 450 K).
Regarding the final values, it can be noticed that, for MELCOR CFs model, the final pressure and temperature are considerably lower than those in the default model. In the first model, the pressure rests at a value just below 3 bars and the temperature at around 1000 K, whilst in the second model, the final pressure is around 4.5 bars, and the temperatures reach almost 1500 K. This is due to the thermal capacity of lead–lithium.
Figure 24 shows the consumption of water vapor and the consequent generation of hydrogen inside the volume of the building. Since the water vapor concentration is relatively low, the reaction is not dominant and the amount of hydrogen produced remains rather small, no more than 20 g.