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Dane Sabo 2025-08-05 11:35:01 -04:00
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# 2025-08-05
## Morning Brief
I didn't finish the thesis ideas from yesterday. Oopsie!
Today is different though. Curently, I'm working from
home^*, which really means I'm working in a coffee shop on
Washington road. I'm at the Orbis Cafe, where I purchased a
cinnamon roll and a cappucino. The caffeine has yet to hit,
but when it does, I'll be cooking I'm sure. This is a nice
spot and it's very relaxing to get things done while other
people are around. I like this a lot, and perhaps I should
do this more often while I'm at school too.
Anyways, Dan is OOO taking time off while he can before the
fall semester. Who can blame him?
Patrick and I discussed more PINN stuff yesterday. I should
make a simple PINN demonstration.

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### Goals:
The goal of this research is to use machine learning to
identify system faults of a reactor control system. A
digital twin will be compared to measurements from a real
plant to identify issues such as coolant losses, sensor and
actuator failures, or component degredation.
identify system faults of a reactor control system during
runtime. A digital twin will be compared to measurements
from a real plant to identify issues such as coolant losses,
sensor and actuator failures, or component degredation so
that safety strategic decisions about the plant can be made
autonomously.
### Outcomes:
For this research to be successful, I will accomplish the
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- Develop a physics informed neural network (PINN) approach
to evaluate physics discrepancies in measured signals and
to estimate physically relevant parameters
to estimate physically relevant parameters to determine
real system divergence from the nominal plant.
-
- Realize a proof of concept autonomous controller than can
react to fault conditions by switching to different
control modes rather than only responding with reactor
shutdown.
### Impact:
The nuclear energy industry's largest expense is operations
and maintenance (O&M). These costs include typical reactor repair
and refueling, the labor involved to complete such
maintenance, and finally the labor involved in operating the
reactor itself. Currently the largest of these O&M expenses
is the labor and part cost used in maintenance, while large
nuclear reactor facilities require a modest reactor operator
budget per megawatt of energy produced. The advent of small
modular reactors (SMRs) and microreactors (MRs) will change
these economics significantly.
As SMRs and MRs become more common, the cost of repair and
maintenance should reduce dramatically as nuclear power
componnets will become modular, replaceable parts instead of
the bespoke reactor designs currently operating. Operator
wages, however, can be expected to increase without
introducing greater controller autonomy. SMRs and MRs are
much smaller output designs per reactor core, and if they
are required to employ the same size reactor operator team
as a conventional large reactor, will suffer from much
larger operator expense per megawatt. Greater controller
autonomy can solve this problem by unloading some reactor
control responsibilities from the operator, and therein
reduce labor consumption.
<# TO DO #>
Finally reactor safety can be improved by greater autonomy
yada yada find some reasons to back this up.
### Related Papers: