THERMAL SCIENCE

International Scientific Journal

RESEARCH ON TERRAIN GRIDS GENERATION IN COMPUTATIONAL FLUID DYNAMICS SOFTWARE

ABSTRACT
Traditional research of environmental impact of natural draft cooling tower in nuclear power plant is based on diffusion model or tunnel experiment, and with the development of modern mainframe computers and turbulence models, it is possible to use CFD method to simulate plume drift. The CFD software, due to its powerful computing ability, can simulate and display the plume drift more accurately. This paper presents an effective way of generating terrain grids which can be used in StarCD, a CFD software. The SRTM terrain data is obtained from internet and IDW interpolation method is used in the co-ordinates translation process. A powerful program named GridInter is developed using Fortran90 to convert terrain data to StarCD vertex file, terrain grids generation process in StarCD including nuclear power plant building grids combination is also introduced, this model can be directly used in the numerical simulation of plume dispersion.
KEYWORDS
PAPER SUBMITTED: 2023-06-20
PAPER REVISED: 2023-07-15
PAPER ACCEPTED: 2023-08-18
PUBLISHED ONLINE: 2023-09-02
DOI REFERENCE: https://doi.org/10.2298/TSCI230620186W
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 5, PAGES [4321 - 4332]
REFERENCES
  1. Chen, D., et al., Improved Gaussian Plume Model for Atmospheric Dispersion Considering Buoyancy and Gravitational Deposition: The Case of Multi-Form Tritium, Applied Rad. and Iso., 199 (2023), 110892
  2. Liu, C., et al., Gas Diffusion Model Based on an Improved Gaussian Plume Model for Inverse Calculations of the Source Strength, J. of Loss Prevention in the Process Industries, 75 (2022), 104677
  3. Martina, M., Castelli, S. T., Modelling the Potential Long-Range Dispersion of Atmospheric Microplastics Reaching a Remote Site, Atmospheric Environment, 312 (2023), 120044
  4. Mack, A., et al., Extension of the EFFECTS Dispersion Model for Buoyant Plume Rise Including Lift-Off, Process Safety and Environmental Protection, 176 (2023), pp. 747-762
  5. Plischka, H., et al., Comparison of Turbulent Inflow Conditions for Neutral Stratified Atmospheric Boundary Layer Flow, Journal of Wind Engineering and Industrial Aerodynamics, 230 (2022), 105145
  6. Pasquier, M., et al., A Lattice-Boltzmann-Based Modelling Chain for Traffic-Related Atmospheric Pollutant Dispersion at the Local Urban Scale, Building and Environment, 242 (2023), 110562
  7. Vidali, C., et al., Wind-Tunnel Experiments on Atmospheric Heavy Gas Dispersion: Metrological Aspects, Experimental Thermal and Fluid Science, 130 (2022), 110495
  8. Ji, J., et al., The Application of Measuring Atmospheric Properties in Overlap Factor Region Using Scanning Lidar, Results in Physics, 43 (2022), 106050
  9. Alrammah, I., et al., Atmospheric Dispersion Modeling and Radiological Environmental Impact Assessment for Normal Operation of a Proposed Pressurized Water Reactor in the Eastern Coast of Saudi Arabia, Progress in Nuclear Energy, 145 (2022), 104121
  10. Journal of the Air & Waste Management Association, 2002, 52: 313-323.
  11. Ichikawa, Y., Sada, K., An Evaluation Method of the Topographical Effects on Exhaust Gas Dispersion Using a Numerical Model, Komae Research Laboratory Report, No.T98010, Tokyo, Japan
  12. Bornoff, R. B., Mokhtarzadeh-Dehgha, M. R., A Numerical Study of Interacting Buoyant Cooling-Tower Plumes, Atmospheric Environment, 35 (2001), 3, pp. 589-598
  13. Tai, Y., et al., Multi-Particle Models of Molecular Diffusion for Lagrangian Simulation Coupled with LES for Passive Scalar Mixing in Compressible Turbulence, Computers & Fluids, 221 (2021), 104886
  14. Apolinario, G. B., et al., Instantons and Fluctuations in a Lagrangian Model of Turbulence, Physica A: Statistical Mechanics and its Applications, 514 (2019), Jan., pp. 741-757
  15. England, W. G., et al., Cooling Tower Plumes-Defined and Traced by Means of Computer Simulation Models, Proceedings, Cooling Tower Institute Annual Meeting, Houston, Tex., USA, 1973, pp. 41
  16. Bender, T. J., et al., A Study on the Effects of Wind on the Air Intake Flow Rate of a Cooling Tower: Part 2. Wind Wall Study, Journal of Wind Engineering and Industrial Aerodynamics, 64, (1996), 1, pp.61-72.
  17. Bender, D. J., et al., Numerical Study of Wind Flow Over a Cooling Tower, Journal of Wind Engineering and Industrial Aerodynamics, 46-47 (1993), Aug., pp. 657-664
  18. Tao, W. Q., Numerical Heat Transfer, Xi'an Jiaotong University Press, Xi'an, China, 2001
  19. Schneiders, L., et al., On the Accuracy of Lagrangian Point-Mass Models for Heavy Non-Spherical Particles in Isotropic Turbulence, Fuel, 201 (2017), Aug., pp. 2-14
  20. Husar, R. B., Falke, S. R., Uncertainty in the Spatial Interpolation of PM10 Monitoring Data in Southern California
  21. Robert, N. M., CFD Prediction of Cooling Tower Drift, Journal of Wind Engineering and Industrial Aerodynamics, 94 (2006), 6, pp. 463-490

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence