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Author:

Chen, J. (Chen, J..) | Tang, J. (Tang, J..) | Xia, H. (Xia, H..) | Qiao, J. (Qiao, J..)

Indexed by:

EI Scopus

Abstract:

Dioxin (DXN) produced by municipal solid waste incineration (MSWI) processes is a highly toxic pollutant with unclear mechanism up to date. It is important to understand the boundary conditions of the formation, combustion and regeneration of DXN in the grate furnace for reducing pollution emissions. In this paper, a numerical simulation method of DXN emission concentration in grate furnace incineration processes for municipal solid waste was presented. First, according to the MSWI processes flow of a typical grate furnace, the mechanism of DXN-related reactions such as solid-phase combustion, gas-phase combustion, high-temperature heat exchange and low-temperature heat exchange in the incinerator was described. Then, according to the above divided areas, a numerical simulation model combined with the relevant parameters of actual MSWI process was constructed. Finally, a univariate analysis was performed based on the reactant concentrations characterized by the flue gas split fraction and the reaction temperatures in different regions to obtain the boundary conditions for the DXN concentration at G1. The effects of split fraction and reaction temperature on the DXN concentration at G1 were analyzed based on orthogonal experiments, and the optimal parameter combination was obtained. The validity of the model was proved by numerical simulation analysis and verification based on the actual data of a MSWI power plant in Beijing. It will provide support for the subsequent optimal control of DXN emission concentration at G1. © 2023 Chemical Industry Press. All rights reserved.

Keyword:

numerical simulation orthogonal experiment municipal solid waste incineration (MSWI) univariate analysis dioxin (DXN) optimal parameter

Author Community:

  • [ 1 ] [Chen J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Chen J.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100024, China
  • [ 3 ] [Tang J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Tang J.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100024, China
  • [ 5 ] [Xia H.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Xia H.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100024, China
  • [ 7 ] [Qiao J.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 8 ] [Qiao J.]Beijing Laboratory of Smart Environmental Protection, Beijing, 100024, China

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Source :

Chemical Industry and Engineering Progress

ISSN: 1000-6613

Year: 2023

Issue: 2

Volume: 42

Page: 1061-1072

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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