ORCID Profile
0000-0001-8789-6169
Current Organisations
Chongqing University
,
University of Queensland
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Publisher: Elsevier BV
Date: 09-2022
Publisher: Elsevier BV
Date: 07-2021
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 05-2017
Publisher: Elsevier BV
Date: 06-2022
Publisher: Elsevier BV
Date: 07-2014
Publisher: Elsevier BV
Date: 03-2020
Publisher: Elsevier BV
Date: 07-2021
Publisher: Elsevier BV
Date: 03-2014
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 11-2020
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 04-2019
Publisher: MDPI AG
Date: 24-09-2019
DOI: 10.3390/EN12193630
Abstract: 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.
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 07-2017
Publisher: American Society of Civil Engineers (ASCE)
Date: 04-2018
Publisher: Elsevier BV
Date: 05-2020
Publisher: American Chemical Society (ACS)
Date: 03-11-2014
DOI: 10.1021/JE500801W
Publisher: Hindawi Limited
Date: 15-05-2019
DOI: 10.1002/ER.4599
Publisher: Elsevier BV
Date: 03-2019
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 02-2023
Publisher: Elsevier BV
Date: 10-2020
Publisher: Elsevier BV
Date: 07-2016
Publisher: Elsevier BV
Date: 12-2019
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 07-2021
Publisher: Elsevier BV
Date: 06-2019
Publisher: Elsevier BV
Date: 04-2019
DOI: 10.1016/J.WASMAN.2019.04.029
Abstract: Citrus wastes contain large amounts of pectin as the main constituent in addition to cellulose, lignin and hemicellulose. The thermal degradation behaviors and products distribution from the fast pyrolysis of citrus wastes are different from lignocellulosic biomass due to the high content of pectin. In view of this, the detailed decomposition behaviors of pectin are investigated by using density functional theory (DFT). The calculation results indicate that the most energetically favored initial reaction of pectin is the cleavage of α-1,4-glycoside bond (C
No related grants have been discovered for Xiaoxiao Li.