CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS
Accurate prediction of pollutant dispersion is vital to the energy industry. This study investigated the Computational Fluid Dynamics (CFD) simulation of pollutant emission in a natural draft dry cooling tower (NDDCT) with flue gas injection. In order to predict the diffusion and distribution charac...
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doaj-8ddfc61404c949b0bb48eac97310cee82020-11-25T02:12:15ZengMDPI AGEnergies1996-10732019-09-011219363010.3390/en12193630en12193630CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANSGuangjun Yang0Xiaoxiao Li1Li Ding2Fahua Zhu3Zhigang Wang4Sheng Wang5Zhen Xu6Jingxin Xu7Pengxiang Qiu8Zhaobing Guo9School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaKey Laboratory of Low-grade Energy Utilization Technologies and Systems, Ministry of Education, College of Power Engineering, Chongqing University, Chongqing 400030, ChinaState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, National Environmental Protection Research Institute for Electric Power, Nanjing 210031, ChinaState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, National Environmental Protection Research Institute for Electric Power, Nanjing 210031, ChinaState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, National Environmental Protection Research Institute for Electric Power, Nanjing 210031, ChinaState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, National Environmental Protection Research Institute for Electric Power, Nanjing 210031, ChinaState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, National Environmental Protection Research Institute for Electric Power, Nanjing 210031, ChinaState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, National Environmental Protection Research Institute for Electric Power, Nanjing 210031, ChinaState Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, National Environmental Protection Research Institute for Electric Power, Nanjing 210031, ChinaSchool of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaAccurate prediction of pollutant dispersion is vital to the energy industry. This study investigated the Computational Fluid Dynamics (CFD) simulation of pollutant emission in a natural draft dry cooling tower (NDDCT) with flue gas injection. In order to predict the diffusion and distribution characteristics of the pollutant more accurately, Large Eddy Simulation (LES) was applied to predict the flow field and pollutant concentration field and compared with Reynolds Average Navier-Stokes (RANS) and Unsteady Reynolds Average Navier-Stokes (URANS). The relationship between pollutant concentration pulsation and velocity pulsation is emphatically analyzed. The results show that the flow field and concentration field simulated by RANS and URANS are very close, and the maximum value of LES is about 43 times that of RANS and URANS for the prediction of pollutant concentration in the inner shell of cooling tower. Pollutant concentration is closely related to local flow field velocity. RANS and URANS differ greatly from LES in flow field prediction, especially at the outlet and downwind of cooling tower. Compared with URANS, LES can simulate flow field pulsation with a smaller scale and higher frequency.https://www.mdpi.com/1996-1073/12/19/3630NDDCTflue gaspollutant diffusionRANSLES |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guangjun Yang Xiaoxiao Li Li Ding Fahua Zhu Zhigang Wang Sheng Wang Zhen Xu Jingxin Xu Pengxiang Qiu Zhaobing Guo |
spellingShingle |
Guangjun Yang Xiaoxiao Li Li Ding Fahua Zhu Zhigang Wang Sheng Wang Zhen Xu Jingxin Xu Pengxiang Qiu Zhaobing Guo CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS Energies NDDCT flue gas pollutant diffusion RANS LES |
author_facet |
Guangjun Yang Xiaoxiao Li Li Ding Fahua Zhu Zhigang Wang Sheng Wang Zhen Xu Jingxin Xu Pengxiang Qiu Zhaobing Guo |
author_sort |
Guangjun Yang |
title |
CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS |
title_short |
CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS |
title_full |
CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS |
title_fullStr |
CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS |
title_full_unstemmed |
CFD Simulation of Pollutant Emission in a Natural Draft Dry Cooling Tower with Flue Gas Injection: Comparison between LES and RANS |
title_sort |
cfd simulation of pollutant emission in a natural draft dry cooling tower with flue gas injection: comparison between les and rans |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-09-01 |
description |
Accurate prediction of pollutant dispersion is vital to the energy industry. This study investigated the Computational Fluid Dynamics (CFD) simulation of pollutant emission in a natural draft dry cooling tower (NDDCT) with flue gas injection. In order to predict the diffusion and distribution characteristics of the pollutant more accurately, Large Eddy Simulation (LES) was applied to predict the flow field and pollutant concentration field and compared with Reynolds Average Navier-Stokes (RANS) and Unsteady Reynolds Average Navier-Stokes (URANS). The relationship between pollutant concentration pulsation and velocity pulsation is emphatically analyzed. The results show that the flow field and concentration field simulated by RANS and URANS are very close, and the maximum value of LES is about 43 times that of RANS and URANS for the prediction of pollutant concentration in the inner shell of cooling tower. Pollutant concentration is closely related to local flow field velocity. RANS and URANS differ greatly from LES in flow field prediction, especially at the outlet and downwind of cooling tower. Compared with URANS, LES can simulate flow field pulsation with a smaller scale and higher frequency. |
topic |
NDDCT flue gas pollutant diffusion RANS LES |
url |
https://www.mdpi.com/1996-1073/12/19/3630 |
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