Auto sync: 2025-12-09 17:19:30 (20 files changed)

M  .task/backlog.data

M  .task/completed.data

M  .task/pending.data

M  .task/undo.data

A  Class_Work/nuce2101/final/latex/SABO_NUCE2101_FINAL.pdf

M  Class_Work/nuce2101/final/latex/main.aux

M  Class_Work/nuce2101/final/latex/main.fdb_latexmk

M  Class_Work/nuce2101/final/latex/main.fls
This commit is contained in:
Dane Sabo 2025-12-09 17:19:30 -05:00
parent 912eaf8208
commit dfca8eab77
20 changed files with 754 additions and 37 deletions

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---
time 1765305743
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---
time 1765305754
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time 1765305763
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time 1765318224
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time 1765318238
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time 1765318239
old [description:"Reach out to Material Advantage for job placement info and website content" due:"1764824400" entry:"1764681551" modified:"1764681551" project:"Chair-Search" status:"pending" uuid:"00072514-5622-4a44-9826-49690be83767"]
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time 1765318240
old [description:"Reach out to FSAE for job placement info and website content" due:"1764824400" entry:"1764681551" modified:"1764681551" project:"Chair-Search" status:"pending" uuid:"ca5f0450-483f-4a93-aba1-d06e71b4df5c"]
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time 1765318249
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time 1765318249
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---
time 1765318330
new [description:"Review Zbeeb, Khaled application" due:"1765342800" entry:"1765318330" modified:"1765318330" project:"chair_search" status:"pending" uuid:"360a2897-bf5c-457e-a4b2-81b9b46a1267"]
---
time 1765318330
new [description:"Review Akkus, Ozan application" due:"1765342800" entry:"1765318330" modified:"1765318330" project:"chair_search" status:"pending" uuid:"df552298-0119-4fe5-afe0-11439c838cf5"]
---
time 1765318330
new [description:"Review Asmatulu, Ramazan application" due:"1765342800" entry:"1765318330" modified:"1765318330" project:"chair_search" status:"pending" uuid:"edb91039-b46b-40e8-8b43-70336a2db3ac"]
---
time 1765318331
new [description:"Review Christopher, Gordon application" due:"1765342800" entry:"1765318331" modified:"1765318331" project:"chair_search" status:"pending" uuid:"aa05a70a-5640-4903-acde-d584cbe8d40a"]
---
time 1765318331
new [description:"Review Gouma, Pelagia application" due:"1765342800" entry:"1765318331" modified:"1765318331" project:"chair_search" status:"pending" uuid:"17818aac-cbf7-4275-a2f6-66cf6ab2280a"]
---
time 1765318332
new [description:"Review Gupta, Sanju application" due:"1765342800" entry:"1765318332" modified:"1765318332" project:"chair_search" status:"pending" uuid:"0817fece-0159-4419-91e0-e71b86da51f3"]
---
time 1765318332
new [description:"Review Kim, Harrison application" due:"1765342800" entry:"1765318332" modified:"1765318332" project:"chair_search" status:"pending" uuid:"216c0f81-a6cb-4945-a9ad-1740f9897755"]
---
time 1765318333
new [description:"Review Makhlouf, Abdelsalam application" due:"1765342800" entry:"1765318333" modified:"1765318333" project:"chair_search" status:"pending" uuid:"80e06097-c320-48f9-a287-59879264dc81"]
---
time 1765318333
new [description:"Review Narayan, Roger application" due:"1765342800" entry:"1765318333" modified:"1765318333" project:"chair_search" status:"pending" uuid:"f2587d5e-40af-4fa1-b90c-28270d07656b"]
---
time 1765318333
new [description:"Review Robles Hernandez, Francisco Carlos application" due:"1765342800" entry:"1765318333" modified:"1765318333" project:"chair_search" status:"pending" uuid:"50e3c168-cf44-499e-a66a-586c897792c2"]
---
time 1765318334
new [description:"Review Yang, Xiaodong application" due:"1765342800" entry:"1765318334" modified:"1765318334" project:"chair_search" status:"pending" uuid:"ae720546-20a9-45b5-85fd-699df6420d40"]
---
time 1765318397
old [description:"Review Zbeeb, Khaled application" due:"1765342800" entry:"1765318330" modified:"1765318330" project:"chair_search" status:"pending" uuid:"360a2897-bf5c-457e-a4b2-81b9b46a1267"]
new [description:"Review Zbeeb, Khaled application" due:"1765342800" entry:"1765318330" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"360a2897-bf5c-457e-a4b2-81b9b46a1267"]
---
time 1765318397
old [description:"Review Akkus, Ozan application" due:"1765342800" entry:"1765318330" modified:"1765318330" project:"chair_search" status:"pending" uuid:"df552298-0119-4fe5-afe0-11439c838cf5"]
new [description:"Review Akkus, Ozan application" due:"1765342800" entry:"1765318330" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"df552298-0119-4fe5-afe0-11439c838cf5"]
---
time 1765318397
old [description:"Review Asmatulu, Ramazan application" due:"1765342800" entry:"1765318330" modified:"1765318330" project:"chair_search" status:"pending" uuid:"edb91039-b46b-40e8-8b43-70336a2db3ac"]
new [description:"Review Asmatulu, Ramazan application" due:"1765342800" entry:"1765318330" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"edb91039-b46b-40e8-8b43-70336a2db3ac"]
---
time 1765318397
old [description:"Review Christopher, Gordon application" due:"1765342800" entry:"1765318331" modified:"1765318331" project:"chair_search" status:"pending" uuid:"aa05a70a-5640-4903-acde-d584cbe8d40a"]
new [description:"Review Christopher, Gordon application" due:"1765342800" entry:"1765318331" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"aa05a70a-5640-4903-acde-d584cbe8d40a"]
---
time 1765318397
old [description:"Review Gouma, Pelagia application" due:"1765342800" entry:"1765318331" modified:"1765318331" project:"chair_search" status:"pending" uuid:"17818aac-cbf7-4275-a2f6-66cf6ab2280a"]
new [description:"Review Gouma, Pelagia application" due:"1765342800" entry:"1765318331" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"17818aac-cbf7-4275-a2f6-66cf6ab2280a"]
---
time 1765318397
old [description:"Review Gupta, Sanju application" due:"1765342800" entry:"1765318332" modified:"1765318332" project:"chair_search" status:"pending" uuid:"0817fece-0159-4419-91e0-e71b86da51f3"]
new [description:"Review Gupta, Sanju application" due:"1765342800" entry:"1765318332" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"0817fece-0159-4419-91e0-e71b86da51f3"]
---
time 1765318397
old [description:"Review Kim, Harrison application" due:"1765342800" entry:"1765318332" modified:"1765318332" project:"chair_search" status:"pending" uuid:"216c0f81-a6cb-4945-a9ad-1740f9897755"]
new [description:"Review Kim, Harrison application" due:"1765342800" entry:"1765318332" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"216c0f81-a6cb-4945-a9ad-1740f9897755"]
---
time 1765318397
old [description:"Review Makhlouf, Abdelsalam application" due:"1765342800" entry:"1765318333" modified:"1765318333" project:"chair_search" status:"pending" uuid:"80e06097-c320-48f9-a287-59879264dc81"]
new [description:"Review Makhlouf, Abdelsalam application" due:"1765342800" entry:"1765318333" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"80e06097-c320-48f9-a287-59879264dc81"]
---
time 1765318397
old [description:"Review Narayan, Roger application" due:"1765342800" entry:"1765318333" modified:"1765318333" project:"chair_search" status:"pending" uuid:"f2587d5e-40af-4fa1-b90c-28270d07656b"]
new [description:"Review Narayan, Roger application" due:"1765342800" entry:"1765318333" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"f2587d5e-40af-4fa1-b90c-28270d07656b"]
---
time 1765318397
old [description:"Review Robles Hernandez, Francisco Carlos application" due:"1765342800" entry:"1765318333" modified:"1765318333" project:"chair_search" status:"pending" uuid:"50e3c168-cf44-499e-a66a-586c897792c2"]
new [description:"Review Robles Hernandez, Francisco Carlos application" due:"1765342800" entry:"1765318333" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"50e3c168-cf44-499e-a66a-586c897792c2"]
---
time 1765318397
old [description:"Review Yang, Xiaodong application" due:"1765342800" entry:"1765318334" modified:"1765318334" project:"chair_search" status:"pending" uuid:"ae720546-20a9-45b5-85fd-699df6420d40"]
new [description:"Review Yang, Xiaodong application" due:"1765342800" entry:"1765318334" modified:"1765318397" project:"Chair-Search" status:"pending" uuid:"ae720546-20a9-45b5-85fd-699df6420d40"]
---
time 1765318484
new [description:"Tune up presentation for Emerson... digital twins" due:"1765774800" entry:"1765318484" modified:"1765318484" project:"Internship" status:"pending" uuid:"d00350e5-5d5e-40d4-97c1-720f413f8359"]
---
time 1765318628
new [description:"Make a plan for pizza for all-in event" due:"1765515600" entry:"1765318628" modified:"1765318628" project:"Union" status:"pending" uuid:"869e4507-e1c2-4e4b-b2b0-63727285ffc0"]
---
time 1765318649
new [description:"Talk to Jessica about getting a room for an event" due:"1765515600" entry:"1765318649" modified:"1765318649" project:"Union" status:"pending" uuid:"9d6f1ea8-9ce1-4785-be41-fed9b345ba46"]
---
time 1765318679
new [description:"Draft an email for people about MOU for EGSO" due:"1765515600" entry:"1765318679" modified:"1765318679" project:"Union" status:"pending" uuid:"e50fcfa9-85d6-4c48-b7cf-89637f90c333"]
---

View File

@ -1,4 +1,4 @@
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\section*{Problem 10}
\subsection*{Part A}
To me, this looks like there was a major steam leak on the secondary side,
temporarily increasing steam demand by a lot. I think this was on the secondary
side because a primary side loss of coolant would be captured in the pressure
data.
\subsection*{Part B}
\subsubsection*{Subpart 1}
I'm going to assume a step change in reactivity, such that \(\dot \rho=0\).
Because we're considering the first few milliseconds of the transient, we can
ignore the contribution of precursors and delayed neutrons. This is an
appropriate assumption because the fastest precursor is on the order of 300ms
half-life. Much slower than our analysis.
\[\frac{dn(t)}{dt} = \frac{n(t)(\rho - \beta)}{\Lambda}\]
\[\frac{\dot n(t)}{n(t)} = \frac{(\rho - \beta)}{\Lambda}\]
\[\frac{781.88}{26.06} = \frac{(\rho - 0.000650)}{0.00026}\]
\[\rho = 0.008451\]
\subsubsection*{Subpart 2}
I would assume rise rate decreases so rapidly because fuel temperature would go
through the roof and Doppler broadening would add a lot of negative reactivity.
There is not enough time for any other physics to happen other than those at the
quantum level.
\subsection*{Part C}
At near steady state (around 800 seconds on the chart), the reactor power and
temperature have stabilized after the initial transient. We can estimate the
moderator temperature coefficient using the relationship between reactivity
change and temperature change.
Given:
\begin{itemize}
\item Initial temperature: \(T_i = 600^\circ\)F
\item Final temperature: \(T_f = 680^\circ\)F
\item Temperature change: \(\Delta T = 80^\circ\)F
\end{itemize}
At near steady state, the reactor is critical, so the net reactivity is zero.
The reactivity balance is:
\[\rho_{net} = \rho_{inserted} + \alpha_m \Delta T = 0\]
From Part B.1, we found the inserted reactivity:
\[\rho_{inserted} = 0.008451 = 845.1 \text{ pcm}\]
Solving for the moderator temperature coefficient:
\[\alpha_m = -\frac{\rho_{inserted}}{\Delta T} = -\frac{845.1 \text{ pcm}}{80^\circ\text{F}}\]
\[\boxed{\alpha_m \approx -10.6 \text{ pcm}/^\circ\text{F}}\]
This value is reasonable for a PWR moderator temperature coefficient, typically
ranging from -10 to -40 pcm/\(^\circ\)F depending on core conditions and boron
concentration.
\subsection*{Part D}
Starting with the one delayed group prompt jump approximation:
\[n(t) = \frac{\lambda_{eff} C(t) \Lambda + S\Lambda}{\beta - \rho}\]
\[\dot C(t) = \frac{n(t)\beta}{\Lambda} - \lambda_{eff} C(t)\]
To find \(\dot n(t)\), we take the implicit derivative of the first equation.
Since both \(C(t)\) and \(\lambda_{eff}(t)\) can vary with time, we use the
product rule:
\[\dot n(t) = \frac{\Lambda}{\beta - \rho} \frac{d}{dt}[\lambda_{eff} C(t)] - \frac{\Lambda (\lambda_{eff} C + S)}{(\beta - \rho)^2} \dot \rho\]
\[\dot n(t) = \frac{\Lambda}{\beta - \rho} \left[\dot \lambda_{eff} C(t) + \lambda_{eff} \dot C(t)\right] - \frac{\Lambda (\lambda_{eff} C + S)}{(\beta - \rho)^2} \dot \rho\]
Substitute \(\dot C(t) = \frac{n(t)\beta}{\Lambda} - \lambda_{eff} C(t)\):
\[\dot n(t) = \frac{\Lambda}{\beta - \rho} \left[\dot \lambda_{eff} C(t) + \lambda_{eff}\left(\frac{n(t)\beta}{\Lambda} - \lambda_{eff} C(t)\right)\right] - \frac{n(t)(\beta - \rho) + S\Lambda}{(\beta - \rho)^2} \dot \rho\]
Simplify:
\[\dot n(t) = \frac{\Lambda \dot \lambda_{eff} C(t)}{\beta - \rho} + \frac{\beta n(t)}{\beta - \rho} - \frac{\Lambda \lambda_{eff}^2 C(t)}{\beta - \rho} - \frac{n(t)\dot \rho}{\beta - \rho} - \frac{S\Lambda \dot \rho}{(\beta - \rho)^2}\]
From the first equation: \(\lambda_{eff} C(t) \Lambda = n(t)(\beta - \rho) - S\Lambda\), so:
\[\Lambda C(t) = \frac{n(t)(\beta - \rho) - S\Lambda}{\lambda_{eff}}\]
After substitution and algebraic manipulation, we get:
\[\frac{\dot n(t)}{n(t)} = \frac{\dot \rho + \frac{\dot \lambda_{eff}}{\lambda_{eff}}\left[(\beta - \rho) - \frac{S\Lambda}{n(t)}\right] + \lambda_{eff}\left(\rho + \frac{S\Lambda}{n(t)}\right)}{(\beta - \rho) + \frac{S\Lambda}{n(t)}}\]
Power turning occurs when \(\dot n(t) = 0\):
\[\dot \rho + \frac{\dot \lambda_{eff}}{\lambda_{eff}}\left[(\beta - \rho) - \frac{S\Lambda}{n(t)}\right] + \lambda_{eff}\left(\rho + \frac{S\Lambda}{n(t)}\right) = 0\]
The key term \(\frac{\dot \lambda_{eff}}{\lambda_{eff}}\left[(\beta - \rho) - \frac{S\Lambda}{n(t)}\right]\) arises from the implicit derivative of the product \(\lambda_{eff} C(t)\). This accounts for the changing effective decay constant during the transient.
\subsection*{Part E}
Values estimated from graphs at t = 17.2s (power peak):
\begin{itemize}
\item \(\Delta T_{ave} \approx 611 - 600 = 11^\circ\)F
\item \(\frac{d(\Delta T_{ave})}{dt} \approx \frac{620 - 600}{25 - 5} = 1.0^\circ\)F/s
\item \(\lambda_{eff} \approx 0.13\) s\(^{-1}\)
\item \(\dot \lambda_{eff} \approx 0.081\) s\(^{-2}\)
\item From Part B.1: \(\rho_0 = 0.008451\) (845.1 pcm)
\item From Part C: \(\alpha_m \approx -10.6\) pcm/\(^\circ\)F
\item \(\beta = 0.0065\) (650 pcm)
\end{itemize}
At power turning (\(\dot n(t) = 0\)):
\[\dot \rho + \frac{\dot \lambda_{eff}}{\lambda_{eff}}\left[(\beta - \rho) - \frac{S\Lambda}{n(t)}\right] + \lambda_{eff}\left(\rho + \frac{S\Lambda}{n(t)}\right) = 0\]
Assuming negligible source term \(S \approx 0\) at high power:
\[\dot \rho + \frac{\dot \lambda_{eff}}{\lambda_{eff}}(\beta - \rho) + \lambda_{eff} \rho = 0\]
The reactivity includes both moderator and fuel temperature feedback:
\[\rho(t) = \rho_0 + \alpha_m \Delta T_{ave} + \alpha_f \Delta T_{ave}\]
\[\dot \rho = (\alpha_m + \alpha_f) \frac{d(\Delta T_{ave})}{dt}\]
Substituting into the power turning equation:
\[(\alpha_m + \alpha_f) \frac{d(\Delta T_{ave})}{dt} + \frac{\dot \lambda_{eff}}{\lambda_{eff}}\left[\beta - \left(\rho_0 + \alpha_m \Delta T_{ave} + \alpha_f \Delta T_{ave}\right)\right] + \lambda_{eff} \left(\rho_0 + \alpha_m \Delta T_{ave} + \alpha_f \Delta T_{ave}\right) = 0\]
Solving numerically for \(\alpha_f\) using the given values:
\begin{align*}
\alpha_m &= -10.6 \times 10^{-5} \text{ per }^\circ\text{F} \\
\rho &= 0.008451 + (-10.6 \times 10^{-5})(11) + \alpha_f (11) \\
\dot \rho &= (-10.6 \times 10^{-5} + \alpha_f)(1.0)
\end{align*}
Using SymPy to solve:
\[\boxed{\alpha_f \approx 7.96 \text{ pcm}/^\circ\text{F}}\]
\textbf{Note:} This positive value is non-physical, as fuel temperature
coefficients should always be negative due to Doppler broadening. This suggests
the model assumptions may not be valid for this extreme transient.
\textbf{Physical interpretation:} The only physically reasonable explanation for
the continued increase in average coolant temperature even as power is turning
is that the fuel temperature is much hotter than the moderator temperature and
continues dumping heat into the coolant via conduction. This large temperature
gradient between fuel and moderator violates our assumption that both can be
approximated by \(\Delta T_{ave}\). The fuel has likely reached extreme
temperatures above normal operating
conditions while the moderator lags significantly behind. In a real scenario,
fuel damage or melting would likely have occurred.
\subsection*{Part F}
\textbf{Recommendation: Do NOT restart this plant without extensive inspection
and fuel integrity assessment.}
The analysis reveals several concerning indicators:
\textbf{Evidence of severe fuel damage:}
\begin{itemize}
\item The non-physical positive fuel temperature coefficient from Part E
indicates the normal reactor physics models have broken down
\item The continued increase in average coolant temperature even as power was
turning suggests fuel temperature was far exceeding moderator temperature
\item The extreme reactivity insertion (845 pcm) combined with the rapid power
excursion likely caused fuel temperatures to reach damage thresholds
\item Power rose extremely rapidly in the first few seconds, indicating
prompt-critical-like behavior that would cause severe thermal stress
\end{itemize}
The fuel almost certainly experienced temperatures well
beyond design limits. Cladding integrity is highly suspect. Restart should be
prohibited until a comprehensive inspection confirms the core is safe to
operate, and additional care should be paid to the chemistry of the coolant to
look for zirconium or zirconium-irradiated products.

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@ -13,7 +13,7 @@ negative reactivity to the system.
+ \frac{\partial \rho_{net}}{\partial Power} dPower
\]
But with ingoring fuel temperature feedback and no boron effects,
But with ignoring fuel temperature feedback and no boron effects,
\[\rho_{net} = -10 [\frac{\text{pcm}}{^\circ F}]dT
+ \frac{\partial \rho_{net}}{\partial H} dH

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\section*{Problem 5}
\subsection*{Part A}
Xenon-135 is primarily produced in a reactor as a fission product or by the
decay of Iodine-135, which is a direct product of uranium fission. Xenon-135
decays naturally over time or can absorb neutrons to become other isotopes with
a much smaller neutron cross section.
\subsection*{Part B}
Xenon-135:
The second reactor will have a lower concentration of xenon-135 in the reactor
core. Xenon-135 will be generated by the decay of iodine-135, but will also
decay naturally to other elements over time as well as being removed through
neutron absorption. If the reactors are shut down after a year, the xenon-135 in
both will spike with the full power reactor having a larger spike, and it will
take longer for the 100\% power reactor to be able to be restarted until the
extra xenon-135 has had time to decay away.
Samarium-149:
The second reactor will also have a lower concentration of samarium-149 for a
similar reason as the xenon-135 case. There will be less fissile products to
decay into samarium-149 in the low power reactor. If the reactors are powered
off, however, both reactors will develop additional samarium-149 concentrations
that will not decay away naturally as samarium-149 is stable. It will take more reactivity
to restart the full power reactor from shutdown as the samarium-149
concentration will be much higher than the low power reactor.
\subsection*{Part C}
Xenon is the more challenging poison to deal with. First, xenon has a much
larger cross section and has a more significant effect on reactivity than
samarium. Second, xenon-135 is not a stable element, and thus has decay effects
when the reactor is shut down. As such, the amount of time since shutdown is an
important factor to consider when restarting a reactor with consideration to
xenon. A miscalculation on xenon concentration can lead to a too-large insertion
of reactivity on start-up, which doesn't exist in the same way with samarium as
samarium doesn't decay during shutdown. Finally, xenon is a much faster response
dynamically compared to samarium. Xenon-135 can quickly change concentrations
in hours, while samarium-149 concentrations can take weeks to change
significantly. Human operators are much more likely to be able to cope with the
longer time constant poison versus misjudging the small time constant effects of
xenon.

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\section*{Problem 6}
\subsection*{Part A}
Withdrawing the control rods will move power production towards the upper half
of the core. Changing boron concentration will affect all parts of the core the
same amount, while increasing to full power does not provide enough information
to describe what's happening in the core. That can be accomplished through rod
position or through boron concentration.
Assume rods remove through the top of the core (basically all PWRs), moving the
rods out will allow more flux higher in the core and thus move the average
production upwards.
\subsection*{Part B}
This happens because the moderator is the coolant, and the
coolant is colder as it enters the core at the bottom of the core. A low
enrichment core using boron does not have as pronounced of an effect because at
the same time because the boron is a poison. As boron enters the core, it is
more effective compared to as it travels through the core and is 'used up'. This
is the opposite effect of the moderator temperature, and as such they balance
each other out to a degree.

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\section*{Problem 7}
\subsection*{Part A}
Starting with the point kinetics equations with one delayed precursor group, using
the prompt jump approximation where prompt neutrons reach equilibrium instantly:
\[\frac{dN(t)}{dt} = \lambda C(t)\]
\[\frac{dC(t)}{dt} = \frac{\beta}{\Lambda}N(t) - \lambda C(t)\]
Using appropriate numerical values for a PWR with low enrichment U-235 fuel:
\begin{itemize}
\item \(\beta = 0.0065\) (650 pcm)
\item \(\Lambda = 5 \times 10^{-5}\) s (50 \(\mu\)s)
\item \(\lambda = 0.08\) s\(^{-1}\)
\item \(\rho = +0.0005\) (+50 pcm inserted)
\end{itemize}
The complete system of equations describing reactor power as a function of time is:
\[N(t) = \Lambda \frac{\lambda C(t)}{\beta -\rho} \]
\[\frac{dC(t)}{dt} = \frac{\beta}{\Lambda}N(t) - \lambda C(t)\]
Substituting N(t) into the precursor equation:
\[\frac{dC(t)}{dt} = \frac{\beta \lambda}{\beta -\rho} C(t) - \lambda C(t) = \lambda C(t) \left(\frac{\beta}{\beta - \rho} - 1\right)\]
Simplifying:
\[\frac{dC(t)}{dt} = \lambda C(t) \frac{\rho}{\beta - \rho}\]
With the given numerical values (\(\beta = 0.0065\), \(\rho = 0.0005\), \(\lambda = 0.08\) s\(^{-1}\), \(\Lambda = 5 \times 10^{-5}\) s):
\[\frac{dC(t)}{dt} = 0.08 \times C(t) \times \frac{0.0005}{0.006} = 6.67 \times 10^{-3} C(t)\]
\[N(t) = 5 \times 10^{-5} \times \frac{0.08 \times C(t)}{0.006} = 6.67 \times 10^{-4} C(t)\]
\subsection*{Part B}
The kinetics parameters chosen are justified as follows:
\begin{itemize}
\item \(\beta = 0.0065\): This is the standard delayed neutron fraction for
thermal fission of U-235.
\item \(\Lambda = 50 \mu\)s: This is the typical prompt neutron generation
time for a pressurized water reactor.
\item \(\lambda = 0.08\) s\(^{-1}\): This effective decay constant represents
the lumping of six delayed neutron precursor groups into one equivalent group.
This gives an effective half-life of \(t_{1/2} = \ln(2)/\lambda \approx 8.7\)
s, which is reasonable as a weighted average of the six precursor groups that
range from \(\sim\)0.2 s to \(\sim\)80 s half-lives.
\end{itemize}
\subsection*{Part C}
Power will stop increasing when \(\frac{dN}{dt} = 0\), which occurs when
temperature feedback effects add sufficient negative reactivity to cancel the
+50 pcm reactivity insertion.
The reactor reaches a new equilibrium when:
\[\rho_{net} = \rho_{inserted} + \alpha_f \Delta T_f + \alpha_m \Delta T_m = 0\]
For \(\rho_{inserted} = +50\) pcm, temperature feedback must provide
\(-50\) pcm.
\subsection*{Part D}
At end of life (EOL) with +200 pcm reactivity insertion, several key parameters
change:
\begin{itemize}
\item \(\beta_{EOL} \approx 0.005\) (500 pcm): At EOL, approximately 40-50\%
of fissions come from Pu-239 and Pu-241 built up from neutron capture in
U-238. Since Pu-239 has \(\beta \approx 0.0021\) (much lower than U-235's
0.0065), the effective \(\beta\) is a weighted average that decreases to
around 0.005.
\end{itemize}
The time constant for the transient becomes:
\[\tau_{EOL} = \frac{\beta - \rho}{\lambda \rho} = \frac{0.0045 - 0.002}{0.08 \times 0.002} = 15.6 \text{ s}\]
compared to BOL:
\[\tau_{BOL} = \frac{0.0065 - 0.0005}{0.08 \times 0.0005} = 150 \text{ s}\]
The EOL transient is much faster (10x shorter period) because \(\beta - \rho\)
is smaller relative to \(\rho\).
The spent core actually experiences a more dramatic transient per unit
reactivity insertion, but the stronger feedback from increased fuel temperature
effects provides self-limiting behavior that prevents excessive power excursion.
Plutonium-240 absorbs a lot of neutrons as 240Pu concentration builds up.

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\section*{Problem 8}
\subsection*{Part A}
The one delayed-group model assumes all six precursor groups can be lumped into
a single effective group with average parameters. This introduces errors:
\begin{itemize}
\item Each group has different decay constants (\(\lambda_i\)) ranging from
0.012 to 3.01 s\(^{-1}\), corresponding to half-lives from 0.2 to 80 seconds
\item The one-group model cannot capture the multi-timescale behavior - early
time dynamics are dominated by fast-decaying groups, late time by slow groups
\item Effective parameters (\(\beta_{eff}\), \(\lambda_{eff}\)) are only
approximate averages that work reasonably for long-term behavior but miss
short-term details
\end{itemize}
This weakness matters most for short transients where individual group dynamics
are important, less so for long-term steady-state calculations.
\subsection*{Part B}
For six delayed groups with prompt jump approximation:
Power is given by:
\[N(t) = \frac{\Lambda}{\beta - \rho} \sum_{i=1}^{6} \lambda_i C_i(t)\]
Precursor concentrations evolve as:
\[\frac{dC_i(t)}{dt} = \frac{\beta_i}{\Lambda}N(t) - \lambda_i C_i(t), \quad i = 1,\ldots,6\]
In matrix form, define the state vector:
\[\mathbf{C}(t) = \begin{bmatrix} C_1(t) \\ C_2(t) \\ C_3(t) \\ C_4(t) \\ C_5(t) \\ C_6(t) \end{bmatrix}\]
The precursor equation becomes:
\[\frac{d\mathbf{C}}{dt} = \mathbf{A} \mathbf{C}(t)\]
where the matrix \(\mathbf{A}\) is:
{\tiny
\[\mathbf{A} = \frac{1}{\beta - \rho} \begin{bmatrix}
\beta_1 \lambda_1 - \lambda_1(\beta - \rho) & \beta_1 \lambda_2 & \beta_1 \lambda_3 & \beta_1 \lambda_4 & \beta_1 \lambda_5 & \beta_1 \lambda_6 \\
\beta_2 \lambda_1 & \beta_2 \lambda_2 - \lambda_2(\beta - \rho) & \beta_2 \lambda_3 & \beta_2 \lambda_4 & \beta_2 \lambda_5 & \beta_2 \lambda_6 \\
\beta_3 \lambda_1 & \beta_3 \lambda_2 & \beta_3 \lambda_3 - \lambda_3(\beta - \rho) & \beta_3 \lambda_4 & \beta_3 \lambda_5 & \beta_3 \lambda_6 \\
\beta_4 \lambda_1 & \beta_4 \lambda_2 & \beta_4 \lambda_3 & \beta_4 \lambda_4 - \lambda_4(\beta - \rho) & \beta_4 \lambda_5 & \beta_4 \lambda_6 \\
\beta_5 \lambda_1 & \beta_5 \lambda_2 & \beta_5 \lambda_3 & \beta_5 \lambda_4 & \beta_5 \lambda_5 - \lambda_5(\beta - \rho) & \beta_5 \lambda_6 \\
\beta_6 \lambda_1 & \beta_6 \lambda_2 & \beta_6 \lambda_3 & \beta_6 \lambda_4 & \beta_6 \lambda_5 & \beta_6 \lambda_6 - \lambda_6(\beta - \rho)
\end{bmatrix}\]
}
\subsection*{Part C}
The prompt jump approximation error is likely smaller than the one-group error.
The prompt jump assumes prompt neutrons equilibrate instantly (valid when
\(\Lambda \ll\) timescales of interest). For a 50 \(\mu\)s generation time and
transients on the scale of seconds, this is excellent.
The one-group approximation loses the multi-timescale structure of the six
groups, which significantly affects transient shape, especially in the first
10-20 seconds where fast groups dominate.
For this problem (low reactivity, second-scale transient), prompt jump
introduces \(<1\%\) error while one-group can introduce 10-20\% errors in peak
timing and shape.

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\section*{Problem 9}
\subsection*{Part A}
The boron concentration must be less than 1200ppm.
The plant startup within 10 hours of full power shutdown must have a higher
xenon-135 concentration than a plant that has been shut down for 25 days. As a
result, boron must be diluted to compensate for the xenon poisoning effect.
\subsection*{Part B}
At first boron must be concentrated to reduce power. At this point, xenon will
increase in the core as xenon burnup reduces. To compensate with this additional
poison as power falls, boron must be diluted to maintain 50\% power. Then, the
xenon concentration will fall off as it decays (over days), so boron will need to be
concentrated as the xenon negative reactivity diminishes and settles at 50\%
power. The boron concentration will be HIGHER at the end of the transient than
at the start. An example of the xenon concentration can be found on page 11 of
'Xenon Transient Information Rev 2024-2'.
Samarium on the other hand will not have a significant effect as the amount of
time spent on maintenance will be too short for significant samarium effects to
build up.

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import sympy as sp
# Define symbolic variable
alpha_f = sp.Symbol('alpha_f', real=True)
# Given values from graphs at t = 17.2s
Delta_T_ave = 11.0 # degrees F
d_Delta_T_dt = 1.0 # degrees F/s
lambda_eff = 0.13 # s^-1
dot_lambda_eff = 0.081 # s^-2
# Known parameters
rho_0 = 0.008451 # initial reactivity (845.1 pcm)
alpha_m = -10.6e-5 # in absolute units (-10.6 pcm/F = -10.6e-5 per F)
beta = 0.0065 # delayed neutron fraction
print(f"alpha_m = {alpha_m} per degF = {alpha_m*1e5} pcm/degF")
print()
# Reactivity at t = 17.2s (including BOTH moderator and fuel feedback)
rho = rho_0 + alpha_m * Delta_T_ave + alpha_f * Delta_T_ave
# Rate of change of reactivity
dot_rho = (alpha_m + alpha_f) * d_Delta_T_dt
# Power turning condition (S ≈ 0 at high power):
# dot_rho + (dot_lambda_eff / lambda_eff) * (beta - rho) + lambda_eff * rho = 0
power_turning_eq = dot_rho + (dot_lambda_eff / lambda_eff) * (beta - rho) + lambda_eff * rho
# Solve for alpha_f
solution = sp.solve(power_turning_eq, alpha_f)
print("Power turning equation:")
print(f"dot_rho + (dot_lambda_eff/lambda_eff)*(beta - rho) + lambda_eff*rho = 0")
print()
print("Solving for alpha_f...")
print()
for sol in solution:
alpha_f_value = float(sol)
alpha_f_pcm = alpha_f_value * 1e5 # Convert to pcm/degF
print(f"alpha_f = {alpha_f_value:.6e} per degF")
print(f"alpha_f = {alpha_f_pcm:.2f} pcm/degF")
print()
# Verify the solution
rho_check = rho_0 + alpha_m * Delta_T_ave + alpha_f_value * Delta_T_ave
dot_rho_check = (alpha_m + alpha_f_value) * d_Delta_T_dt
lhs = dot_rho_check + (dot_lambda_eff/lambda_eff)*(beta - rho_check) + lambda_eff*rho_check
print(f"Verification:")
print(f"rho at t=17.2s = {rho_check:.6f} ({rho_check*1e5:.1f} pcm)")
print(f"Power turning equation LHS = {lhs:.6e} (should be ~0)")

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