2020
DOI: 10.1155/2020/8827936
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Improvement of Grid Independence Test for Computational Fluid Dynamics Model of Building Based on Grid Resolution

Abstract: Computational fluid dynamics (CFD) is being used in various research fields on the building environment. Target space of the CFD model is divided into a finite number of grids for numerical analysis. Therefore, an optimal grid design is required to obtain accurate results. The grid independence test is generally performed to design an optimal grid. However, given that there is no standardized procedure for gird independence test, most depend on the researcher’s experience and knowledge. In the conventional met… Show more

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Cited by 62 publications
(28 citation statements)
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“…A mesh-independence test and model validation are conducted before the simulation. , Four different mesh resolutions with the cell numbers of 145 669, 195 606, 258 218, and 349 482 are adopted for the mesh independence analysis. Figure depicts the distribution of temperature along with the height of the central axis in the dome with different mesh resolutions.…”
Section: Resultsmentioning
confidence: 99%
“…A mesh-independence test and model validation are conducted before the simulation. , Four different mesh resolutions with the cell numbers of 145 669, 195 606, 258 218, and 349 482 are adopted for the mesh independence analysis. Figure depicts the distribution of temperature along with the height of the central axis in the dome with different mesh resolutions.…”
Section: Resultsmentioning
confidence: 99%
“…Grid independence test is conducted in most CFD studies, however there are no standardized methods or procedures for these tests [31]. In this respect, Lee et al [1] proffered and validated an improved grid independence test method by applying the grid resolution used in fire simulations.…”
Section: Grid Optimization To Optimize Cfd Modelmentioning
confidence: 99%
“…The Levenshtein distance is the minimum number of single-character edits required to change two strings into the same data. The Levenshtein distance between a and b is calculated, as shown in Equation (1). In here, 1 (a i =b j ) is 1 when a i = b j and 0 when…”
Section: Attribute Data Matchingmentioning
confidence: 99%
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