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Computational Thermal Sciences: An International Journal

年間 6 号発行

ISSN 印刷: 1940-2503

ISSN オンライン: 1940-2554

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.5 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00017 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

Indexed in

NUMERICAL STUDY OF UNSTEADY AIRFLOW PHENOMENA IN A VENTILATED ROOM

巻 4, 発行 4, 2012, pp. 317-333
DOI: 10.1615/ComputThermalScien.2012005093
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要約

Numerical simulation of airflow in an indoor environment has been carried out for forced, natural, and mixed convection modes, respectively, by using the computational fluid dynamics (CFD) approach of solving the Reynolds-averaged Navier−Stokes equations. Three empty model rooms in two-dimensional configuration were studied first; focusing on the effects of grid refinement, mesh topology, and turbulence model. It was found that structured mesh results were in better agreement with available experimental measurements for all three convection scenarios, while the renormalized group (RNG) к − ε turbulence model produced better results for both forced and mixed convections and the shear stress transport (SST) turbulence model for the natural convection prediction. Further studies of air velocity and temperature distributions in a three-dimensional cubic model room with and without an obstacle have shown reasonably good agreement with available test data at the measuring points. CFD results exhibited some unsteady flow phenomena that have not yet been observed or reported in previous experimental studies for the same problem. After analyzing the time history of velocity and temperature data using fast Fourier transformation (FFT), it was found that both air velocity and temperature field oscillated at low frequencies up to 0.4 Hz and the most significant velocity oscillations occurred at a vertical height of an ankle level (0.1 m) from the floor, where temperature oscillation was insignificant. The reasons for this flow unsteadiness were possibly a higher Grashof number, estimated at 0.5 × 106 based inflow conditions, and thus strong buoyancy driven effects caused the oscillations in the flow field. The appearance of an obstacle in the room induced flow separation at its sharp edges and this would further enhance the oscillations due to the unsteady nature of detached shear-layer flow.

によって引用された
  1. Horikiri Kana, Yao Yufeng, Yao Jun, Modelling conjugate flow and heat transfer in a ventilated room for indoor thermal comfort assessment, Building and Environment, 77, 2014. Crossref

  2. Horikiri Kana, Yao Yufeng, Yao Jun, Numerical optimisation of thermal comfort improvement for indoor environment with occupants and furniture, Energy and Buildings, 88, 2015. Crossref

  3. Ahmed Ahmed Qasim, Gao Shian, Numerical investigation of height impact of local exhaust combined with an office work station on energy saving and indoor environment, Building and Environment, 122, 2017. Crossref

  4. Wang Haidong, Chen Qianru, Liu Yan, Investigation of the quasi-periodic airflow oscillation and ventilation performance of an enclosed environment with a jet air supply, Energy and Buildings, 265, 2022. Crossref

  5. Yao Jun, Yao Yufeng, Unsteady Flow Oscillations in a 3-D Ventilated Model Room with Convective Heat Transfer, Fluids, 7, 6, 2022. Crossref

  6. Su Meng, Liu Jiying, Kim Moon Keun, Wu Xiaozhou, Predicting moisture condensation risk on the radiant cooling floor of an office using integration of a genetic algorithm-back-propagation neural network with sensitivity analysis, Energy and Built Environment, 2022. Crossref

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