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Modelling and simulation is the art of describing
the natural or engineered world using mathematical expressions that
capture the essence of the behaviour. Such approaches allows insights
into behaviour to be studied. For some cases solution can be given
through an equation, while for the majority computer-aided numerical
solution is required.
Models can vary widely in their application from
simple ones that describe time of flight for a thrown object to
more complicated ones that involve advection, reaction, diffusion
and non-linear interactions.
The use of simulation techniques allows repeated
virtual testing of a system and gives a vehicle upon which "What
if?" and optimisation techniques can be applied.
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Case Study: Lice Populations
in Farmed Fish
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The commercial farming of fish requires periodic
treatment with anti-lice agents to ensure that lice
populations do not grow to epidemic proportions that
would endager the health of the fish. Commercially and
biologically it is advantageous to minimise the number
of treatments by optimising treatment time.
Creating a set of coupled delay differential equations
for the system allows lice population dynamics to be
studied and optimal number and placement of treatments
to be suggested. It also allows for study of different
treatment types.
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REF:
To be published
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Case Study: Process Performance
and Efficiency
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Industrial processes inevitably have inefficiencies
that limit the ultimate performance and availability
of plant. This study considered the performance characteristics
of nuclear reprocessing and fuel manufacturing plant
in order to obtain estimates on the upper limits of
operation time and operational performance when applied
to multi-recycle waste incineration.
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REF:
Robbins C, Parker D R and Zimmerman C H, "Limits, Timescales and
Optimisation of Fast Neutron Reactor P&T Schemes". Presented at Global
2003.
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