Modeling of the Flue Gas Condensation for the PM2.5 Removal Efficiency of a Integrated Technology

被引:1
|
作者
Liu, Jing [1 ]
Cheng, Dong-lin [1 ]
机构
[1] Changsha Univ Sci & Technol, Key Lab Power Technol Renewable Energy Sources Hu, Changsha 410015, Hunan, Peoples R China
关键词
Modeling; Gas condensation; Liquid membrane and droplets; Fractal theory; Integrated technology; DESULFURIZATION; DEPOSITION; SIMULATION; INJECTION;
D O I
10.1007/s13369-015-1857-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
A combined pseudo-homogeneous and fractal geometry model was developed to simulate the process of a integrated technology. The technology was proposed to replace heat pipes and WFGD, which is based on the theory that liquid membrane and droplets grow in size by vapor heterogeneous condensation with they acting as nucleation centers and then the grown droplets are removed efficiently by using integrated diverse combinations of condenser pipes and a highly efficient scrubber. The model has been approached useful for both analyzing results and aiding in design of the technology by conducting a two-dimensional steady-state model by means of infinitesimal analysis, incorporating with the models of whole fine particles absorption efficiency of a regularly arranged liquid membrane and droplets column group, and the models of geometric classifications for liquid and solid based on the fractal dimension identified by different structural of radius of gyration of liquid-solid interface transition zone. The predicted values were also compared with the experimental results, and they are in excellent agreement. The results showed that: When the fractal dimension d(f) is 0.3, the calculation result is the most closer to actual experiment parameter. The PM2.5 diffusion volume flux value V-w ranges from 22 and 45 mm/s.
引用
收藏
页码:2399 / 2408
页数:10
相关论文
共 50 条
  • [41] Polycyclic Aromatic Hydrocarbons (PAH) in Atmospheric Particles (PM2.5 and PM2.5–10): Integrated Evaluation of the Environmental Scenario in Urban Areas
    Alessa Maria Ceratti
    Gustavo Marques da Costa
    Darlan Daniel Alves
    Laura Meneguzzi Cansi
    Jessica Hansen
    Filipe Brochier
    Daniela Müller de Quevedo
    Daniela Montanari Migliavacca Osorio
    Water, Air, & Soil Pollution, 2021, 232
  • [42] Numerical investigation of PM2.5 size enlargement by heterogeneous condensation for particulate abatement
    Fan, Fengxian
    Zhang, Sihong
    Wang, Wenying
    Yan, Jinpei
    Su, Mingxu
    PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2019, 125 : 197 - 206
  • [43] Numerical simulation on growth of polydisperse insoluble PM2.5 promoted by vapor condensation
    Wen, Gao-Sen
    Fan, Feng-Xian
    Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities, 2015, 29 (03): : 736 - 742
  • [44] Optimization and improvement of PM2.5 thermophoretic deposition efficiency in turbulent gas flowing over tube surfaces
    Zhou, T
    Wang, ZH
    Yang, RC
    JOURNAL OF COLLOID AND INTERFACE SCIENCE, 2005, 289 (01) : 36 - 41
  • [45] Modeling of PM2.5 concentration prediction with maximum entropy method
    He J.
    Liu Y.
    Li Y.
    Journal of Computational and Theoretical Nanoscience, 2016, 13 (03) : 1861 - 1864
  • [46] Regression Modeling of Daily PM2.5 Concentrations with a Multilayer Perceptron
    Hoffman, Szymon
    Jasinski, Rafal
    Baran, Janusz
    ENERGIES, 2024, 17 (09)
  • [47] Modeling Studies of Source Contributions to PM2.5 in Chengdu, China
    Xu Y.-L.
    Yi A.-H.
    Xue W.-B.
    Huanjing Kexue/Environmental Science, 2020, 41 (01): : 50 - 56
  • [48] PMF-GAS Methods to Estimate Contributions of Sources and Oxygen for PM2.5, Based on Highly Time-Resolved PM2.5 Species and Gas Data
    Tian, Yingze
    Xue, Qianqian
    Xiao, Zhimei
    Chen, Kui
    Feng, Yinchang
    AEROSOL AND AIR QUALITY RESEARCH, 2018, 18 (12) : 2956 - 2966
  • [50] Effect of wet flue gas desulfurization (WFGD) on fine particle (PM2.5) emission from coal-fired boilers
    Yao, Sen
    Cheng, Shuiyuan
    Li, Jianbing
    Zhang, Hanyu
    Jia, Jia
    Sun, Xiaowei
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2019, 77 : 32 - 42