2021
DOI: 10.1016/j.buildenv.2021.108175
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Validation of a CFD model for the evaluation of urban microclimate at high latitudes: A case study in Trondheim, Norway

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Cited by 36 publications
(21 citation statements)
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“…CFD is a scientific research method achieved through the computational ability of computers. By dividing fluid into a grid, the computation of each point provides information about the movement of the fluid [ 11 , 12 , 13 , 14 , 15 , 16 ]. Since the outbreak of COVID-19 and SARS, governments and academics have placed research emphasis on viruses [ 17 , 18 , 19 , 20 , 21 , 22 , 23 ].…”
Section: Methodsmentioning
confidence: 99%
“…CFD is a scientific research method achieved through the computational ability of computers. By dividing fluid into a grid, the computation of each point provides information about the movement of the fluid [ 11 , 12 , 13 , 14 , 15 , 16 ]. Since the outbreak of COVID-19 and SARS, governments and academics have placed research emphasis on viruses [ 17 , 18 , 19 , 20 , 21 , 22 , 23 ].…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, the enhanced wall treatment is a blended wall model or wall function. It blends the separate models in the two-layer approach by using a damping function to make the transition smoother (Brozovsky et al, 2021). Meanwhile, Second-order upwind schemes were adopted for the calculation.…”
Section: Cfd Modelling Methodsmentioning
confidence: 99%
“…The second option is to deploy multiple wind sensors throughout the city under study and to compare the measurements recorded by the instruments to the results of the simulations for specific wind conditions. As sensors, one may find a wide range of solutions from meteorological stations [84] to LIDAR instruments [61,85], such as in Figure 8, satellites [86], and/or other more innovative methods [87].…”
Section: Data Assimilation and Validationmentioning
confidence: 99%
“…The second option is to deploy multiple wind sensors throughout th city under study and to compare the measurements recorded by the instruments to th results of the simulations for specific wind conditions. As sensors, one may find a wid range of solutions from meteorological stations [84] to LIDAR instruments [61,85], such as in Figure 8, satellites [86], and/or other more innovative methods [87]. Despite all previous efforts, it is unlikely that the predictions made are completely accurate, i.e., they must be adjusted according to the measurements made by a network of sensors distributed throughout the city.…”
Section: Data Assimilation and Validationmentioning
confidence: 99%