FES Funded ProjectsOutputs
Title |
Category |
Date |
Authors |
Evaluating the Validity of CFD Model of Dispersion in a Complex Urban Geometry Using Two Sets of Experimental MeasurementsM.R. Kavian Nezhad, C.F. Lange, B.A. Fleck, "Evaluating the Validity of CFD Model of Dispersion in a Complex Urban Geometry Using Two Sets of Experimental Measurements", ICCFD 2022: 16 International Conference on Computational Fluid Dynamics, Tokyo, Japan, January 4-6, 2022.
T14-P04 University of Alberta | Publication | 2022-01-03 | Mohammad Reza Kavian Nezhad, Lange, C., Brian Fleck | CFD MODELING OF THE NEAR-FIELD POLLUTANT DISPERSION IN URBAN SETTINGS: COMBINED EFFECTS OF THE SOURCE LOCATION AND PLANAR HETEROGENEITIESM.R. Kavian Nezhad, C.F. Lange, B.A. Fleck, "CFD MODELING OF THE NEAR-FIELD POLLUTANT DISPERSION IN URBAN SETTINGS: COMBINED EFFECTS OF THE SOURCE LOCATION AND PLANAR HETEROGENEITIES", CSME 2022, University of Alberta, Edmonton, Canada (ON June 5-8), Abstract.
T14-P04 University of Alberta | Publication | 2022-04-28 | Mohammad Reza Kavian Nezhad, Brian Fleck, Lange, C. | Performance Evaluation of the RANS Models in Predicting the Pollutant Concentration Field within a Compact Urban Setting: Effects of the Source Location and Turbulent Schmidt NumberComputational Fluid Dynamics (CFD) is used to accurately model and predict the dispersion of a passive scalar in the atmospheric wind flow field within an urban setting. The Mock Urban Setting Tests (MUST) experiment was recreated in this work to test and evaluate various modeling settings and to form a framework for the reliable representation of dispersion flow in compact urban geometries. The performance of three widely suggested closure models of standard k−ε, RNG k−ε, and SST k−ω is assessed by calculating and interpreting the statistical performance metrics. This work demonstrates that the overprediction of the turbulent kinetic energy by the standard k−ε counteracts the general underpredictions by RANS in geometries with building complexes.T14-P04 University of Alberta | Publication | 2022-06-23 | Mohammad Reza Kavian Nezhad, Lange, C., Brian Fleck | Modified Accuracy of RANS Modeling of Urban Pollutant Flow within Generic Building Clusters Using a High-Quality Full-Scale Dispersion DatasetTo improve the reliability of the Computational Fluid Dynamics (CFD) models of
atmospheric wind flow over complex terrains, a re-calibration study is conducted to
optimize the standard k-e model. Given the stochastic nature of turbulence closure
coefficients, an optimization framework is adopted to identify ranges for them to
achieve the most reliable and accurate predictions. A robust objective function is
defined that incorporates five validation metrics. The coefficients are trained using high-quality measurements of full-scale tracer experiments in a mock urban arrangement simulating a dense building array. Besides exploiting the empirical correlation between coefficients in the atmospheric
surface layer, an exhaustive sensitivity study is also conducted to investigate the
possibility of reducing the computational load.T14-P04 University of Alberta | Publication | 2023-04-17 | Mohammad Reza Kavian Nezhad, Khashayar RahnamayBahambary, Lange, C., Brian Fleck | Permeability decline by fines migration near sand control screens in steam assisted gravity drainage: A numerical assessmentThe near-wellbore permeability loss caused by the release and migration of naturally fine particles impairs the well productivity in oil reservoirs. The damage would be intensified in the presence of restrictions such as sand control screens due to retardation and accumulation of fine particles resulting from flow convergence and high volumetric flux.T07-P03 University of Alberta | Publication | 2023-02-15 | Rahman Miri, Mahmood Salimi, Lange, C., Alireza Nouri |
|
|