Modelling Computational Fluid Dynamics with Swarm Behaviour

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The paper looks at replacing the current top-down approach to modelling, predominantly used in dynamic simulation tools, with a nature inspired bottom-up approach based on principles of swarming. Computational fluid dynamics (CFD) is chosen for this research, as one of the most time-consuming processes under the traditional simulation approach. Generally based on Navier-Stokes simultaneous differential equations, CFD requires considerable user preparation time and considerable CPU execution time. The main reason is that the top-down equations represent the system as a whole and generate a large solution space, requiring a solver to find a solution. However, air and building materials do not have cognitive capabilities to solve systems of equations in order to ‘know’ how to transfer heat. Instead, heat transfer occurs through proximity interaction between molecules, leading to self-organised behaviour that is much faster than the behaviour modelled by the top-down systems of equations. The paper investigates how the bottom-up approach using the principles of swarming could improve the speed and interactivity of CFD simulation.
Original languageEnglish
Title of host publicationProceedings of the 4th IBPSA-England Conference on Building Simulation and Optimization
Subtitle of host publicationCambridge, UK: 11-12 September 2018
PublisherInternational Building Performance Association (IBPSA)
Number of pages7
Publication statusPublished - 11 Sept 2018
EventBuilding Simulation and Optimization: 4th IBPSA-England Conference - Cambridge, Cambridge, United Kingdom
Duration: 11 Sept 201812 Sept 2018


ConferenceBuilding Simulation and Optimization
Country/TerritoryUnited Kingdom
Internet address


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