DOI: 10.1016/j.atmosenv.2016.11.049
Scopus记录号: 2-s2.0-85006168559
论文题名: CFD-based turbulent reactive flow simulations of power plant plumes
作者: Yang B ; , Zhang K ; M
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 150 起始页码: 77
结束页码: 86
语种: 英语
英文关键词: Chemical reactions
; Chemical transport modeling
; CTAG
; Dispersion modeling
; New source review
Scopus关键词: Atmospheric boundary layer
; Atmospheric movements
; Atmospheric thermodynamics
; Boundary layers
; Chemical reactions
; Costs
; Fighter aircraft
; Large eddy simulation
; Mesh generation
; Navier Stokes equations
; Nitrogen oxides
; Sulfur dioxide
; Transport properties
; Turbulence models
; Wind tunnels
; Chemical transformations
; Chemical transport models
; CTAG
; Dispersion modeling
; New Source Reviews
; Semiempirical equation
; Turbulence characteristics
; Wind tunnel experiment
; Computational fluid dynamics
; aircraft emission
; boundary layer
; computational fluid dynamics
; jet flow
; large eddy simulation
; Navier-Stokes equations
; performance assessment
; plume
; power plant
; Reynolds number
; wind tunnel
; accuracy
; ambient dominated region
; Article
; boundary layer
; chemical modification
; computational fluid dynamics
; dynamics
; electric power plant
; jet dominated region
; plume dispersion
; priority journal
; simulation
; velocity
; Canada
; Cumberland
; Nova Scotia
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: This paper examined the capabilities of computational fluid dynamics (CFD) techniques in modeling the transport and chemical transformation of power plant plumes. Based on turbulence characteristics, we divided the plume evolution into two stages. The first stage is referred to as the jet-dominated region (JDR), characterized by a high momentum jet flow of flue gas. The second stage is referred to as the ambient-dominated region (ADR), driven by atmospheric boundary layer turbulence. Then, we compared the three methods in simulating plume transport in the JDR, i.e., Reynolds-averaged Navier–Stokes (RANS) model with velocity inlet (RANS-VI), RANS with volume source (RANS-VS) and Large-Eddy Simulation (LES). The VI method treats the stack exit as a surface inlet to the simulation domain, while the VS method defines a volume region containing the source with a specific emission rate. Our evaluation against a relevant wind tunnel experiment suggested that RANS-VI is most appropriate for power plant plume transport in the JDR. LES can achieve more accurate results, but the improvement in accuracy over RANS-VI may not justify its high computational costs. Nevertheless, LES is still preferable for JDR simulations if computational costs are not a constraint. The VS method requires refined mesh in the source region in order to achieve accurate results, making it no different from the VI method in the JDR. Next, for our ADR evaluation, we simulated plume chemical evolution in a well-characterized 1999 TVA Cumberland aircraft plume transect field study. RANS-VS was adopted, as proper RANS-VI and LES simulations would be exceedingly expensive in terms of computational costs. The overall model performance was satisfactory, evinced by the predicted concentrations of SO2, O3, NOx as well as NO2/NOx ratios fell within the variations in the observed values for large portions of the plume distributions. An indirect JDR evaluation by comparing the predicted plume centerline trajectory with that estimated using a semi-empirical equation and Cumberland-specific parameters indicated that RANS-VS can reasonably predict plume evolution in the JDR as well. Our study suggested that properly configured CFD simulations (e.g., turbulence model, source representation and mesh sensitivity) were able to capture the evolution of chemical reactive plumes from power plants in high accuracy, however, with high computational cost and thus limited applicable spatial range. © 2016 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82252
Appears in Collections: 气候变化事实与影响
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作者单位: Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, United States; State Key Laboratory of Automotive Simulation and Control, Jilin University, China
Recommended Citation:
Yang B,, Zhang K,M. CFD-based turbulent reactive flow simulations of power plant plumes[J]. Atmospheric Environment,2017-01-01,150