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First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address.Daria M. Denisikhina, Candidate of physical and mathematical sciences, associate professor, St. Petersburg State University of Architecture and Civil Engineering, Saint-Petersburg, Russian Federation E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Title of the articleCalculation of the air exchange coefficient based on CFD-simulation methods
Abstract.The use of modern methods of numerical simulation (CFD-methods) for investigation indoor air fields makes it possible to calculate the air distribution and determine the necessary air exchange for complex ventilation flows in public buildings, such as theaters, ice arenas, atriums. In particular, CFD-methods make it possible to obtain the air exchange coefficient for flows with simultaneous action of free and forced convection, that is, where classical approaches have no solution. At the same time, in order to increase the validity level of CFD-methods for ventilation purpose, it is necessary to show their reliability. The objectives of the study are to compare the results of using classical methods for calculating air exchange and the method of CFD simulation for various air distribution schemes: air supply by inclined jets, from top to bottom by jets spreading on the ceiling, horizontal constrained jets, into the occupied area with low-speed velocity. Results: it was found that the differences in the values of the air exchange coefficient by temperature obtained with numerical simulation and the most accurate of the classical methods ranged from 2% to 5%, depending on the air distribution scheme.
Keywords.ventilation, air distribution, air exchange coefficient, CFD-methods, numerical simulation of indoor air fields
For citations:Denisikhina D.M. Calculation of the air exchange coefficient based on CFD-simulation methods // News KSUAE, 2023, № 4(66), p. 337-345, DOI: 10.52409/20731523_2023_4_337, EDN: WFGUKM


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