Modelling and Simulation

 

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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.

Case Study: Lice Populations in Farmed Fish

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.

REF: To be published

Case Study: Process Performance and Efficiency

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.

 

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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info@grallator.co.uk

Dr Chris Robbins

Tel/fax: 01663 749785

Email: info@grallator.co.uk