Literature DB >> 10734710

Development and evaluation of the PRIME plume rise and building downwash model.

L L Schulman1, D G Strimaitis, J S Scire.   

Abstract

A new Gaussian dispersion model, the Plume Rise Model Enhancements (PRIME), has been developed for plume rise and building downwash. PRIME considers the position of the stack relative to the building, streamline deflection near the building, and vertical wind speed shear and velocity deficit effects on plume rise. Within the wake created by a sharp-edged, rectangular building, PRIME explicitly calculates fields of turbulence intensity, wind speed, and streamline slope, which gradually decay to ambient values downwind of the building. The plume trajectory within these modified fields is estimated using a numerical plume rise model. A probability density function and an eddy diffusivity scheme are used for dispersion in the wake. A cavity module calculates the fraction of plume mass captured by and recirculated within the near wake. The captured plume is re-emitted to the far wake as a volume source and added to the uncaptured primary plume contribution to obtain the far wake concentrations. The modeling procedures currently recommended by the U.S. Environmental Protection Agency (EPA), using SCREEN and the Industrial Source Complex model (ISC), do not include these features. PRIME also avoids the discontinuities resulting from the different downwash modules within the current models and the reported overpredictions during light-wind speed, stable conditions. PRIME is intended for use in regulatory models. It was evaluated using data from a power plant measurement program, a tracer field study for a combustion turbine, and several wind-tunnel studies. PRIME performed as well as or better than ISC/SCREEN for nearly all of the comparisons.

Mesh:

Year:  2000        PMID: 10734710     DOI: 10.1080/10473289.2000.10464017

Source DB:  PubMed          Journal:  J Air Waste Manag Assoc        ISSN: 1096-2247            Impact factor:   2.235


  8 in total

1.  Modeling lateral plume deflection in the wake of an elongated building.

Authors:  E M Monbureau; D K Heist; S G Perry; W Tang
Journal:  Atmos Environ (1994)       Date:  2020-08-01       Impact factor: 4.798

2.  Enhancements to AERMOD's Building Downwash Algorithms based on Wind-Tunnel and Embedded-LES Modeling.

Authors:  E M Monbureau; D K Heist; S G Perry; L H Brouwer; H Foroutan; W Tang
Journal:  Atmos Environ (1994)       Date:  2018-04       Impact factor: 4.798

3.  Assessment using CFD of the wind direction on the air discharges caused by natural ventilation of a poultry house.

Authors:  Fernando Rojano; Pierre-Emmanuel Bournet; Melynda Hassouna; Paul Robin; Murat Kacira; Christopher Y Choi
Journal:  Environ Monit Assess       Date:  2018-11-14       Impact factor: 2.513

4.  Numerical analysis of pollutant dispersion around elongated buildings: an embedded large eddy simulation approach.

Authors:  H Foroutan; W Tang; D K Heist; S G Perry; L H Brouwer; E M Monbureau
Journal:  Atmos Environ (1994)       Date:  2018-08       Impact factor: 4.798

5.  Urban wind field analysis from the Jack Rabbit II Special Sonic Anemometer Study.

Authors:  Michael Pirhalla; David Heist; Steven Perry; Steven Hanna; Thomas Mazzola; S Pal Arya; Viney Aneja
Journal:  Atmos Environ (1994)       Date:  2020-12-01       Impact factor: 4.798

6.  Reduction of air pollution levels downwind of a road with an upwind noise barrier.

Authors:  Faraz Enayati Ahangar; David Heist; Steven Perry; Akula Venkatram
Journal:  Atmos Environ (1994)       Date:  2017       Impact factor: 4.798

7.  Simulations of dispersion through an irregular urban building array.

Authors:  Michael Pirhalla; David Heist; Steven Perry; Wei Tang; Lydia Brouwer
Journal:  Atmos Environ (1994)       Date:  2021-08-01       Impact factor: 5.755

8.  Multicriteria relocation analysis of an off-site radioactive monitoring network for a nuclear power plant.

Authors:  Ni-Bin Chang; Shu-Kuang Ning; Jen-Chang Chen
Journal:  Environ Manage       Date:  2006-08       Impact factor: 3.644

  8 in total

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