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Title
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Computationally efficient CFD methodology for simulating large scale spaces
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Author
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Abstract
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| The design of heating and ventilation systems for large-scale indoor spaces has garnered significant interest in the HVAC community. These designs often require simulations of the spaces. The most common tools used are zonal models, which are computationally inexpensive but lack the necessary resolution to obtain detailed flow phenomena that occur in these spaces. Computational Fluid Dynamics (CFD) simulations are becoming increasingly popular to address this issue. CFD is extremely useful in simulating small indoor spaces for pollutant or particle dispersion. However, if the simulation domain becomes too large, the computations become too expensive. This paper aims to provide a validated methodology useful for simulating such large spaces. The study concerns a steel coil storage hall with dimensions of 825m x 250m x 22m. The temperature, flow field, and relative humidity in such a hall are crucial for preventing the rusting of finished steel coils. The methodology employed simulates temperature, flow, and relative humidity at the coil level with high resolution in a computationally efficient way. This approach, called the truncated approach, accomplishes the task in two steps. First, the entire domain is simulated with a lower level of geometric detail and a relatively coarse grid. The domain is then split into smaller parts, and the flow and temperature boundary conditions for these parts are obtained from the full-scale simulations. The advantage of this approach is a significant reduction in computational time, especially when certain transient effects are studied. Another advantage is the level of geometric detail that can be included in these smaller domains. These details are crucial for simulating local flow and heat transfer effects and cannot be included in the full-scale simulation of the hall. Temperature measurements are used to validate the model, and a maximum deviation of 5% was obtained. The truncated approach is thus proven to be an efficient methodology for simulating large-scale systems. |
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Language
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English
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Source (book)
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37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024), 30 June-5 July, 2024, Rhodes, Greece
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Publication
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2024
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Volume/pages
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p. 1-10
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Full text (open access)
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