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Author:

Guo, Zihao (Guo, Zihao.) | Tang, Jian (Tang, Jian.) (Scholars:汤健) | Qiao, Junfei (Qiao, Junfei.) (Scholars:乔俊飞)

Indexed by:

CPCI-S

Abstract:

Municipal solid waste incineration (MSWI) is the most widely used solid waste treatment techniques. Dioxin (DXN) is a highly toxic and persistent pollutant discharged from MSWI process. The mechanism model of DXN is difficult to establish because of the complex physical and chemical characteristics. In the practical industrial process, DXN emission concentration is off-line detected for monthly or seasonal periods, which cannot be used to operational optimization and feedback control of the MSWI process. In this paper, a numerical simulation model of DXN production based on commercial process simulation soft ware is constructed for a practical MSWI plant. At first, the production mechanism of DXN and a practical MSWI heat and mass balance process are given out. Then, the sensitive analysis of DXN production with several key variables is made based on the constructed numerical model. It shows the constructed numerical simulation model is effective. More detailed works should be done in the future.

Keyword:

Heat and mass balance Dioxins (DXN) emission concentration Municipal solid waste incineration (MSWI) Numerical simulation Mechanism analysis

Author Community:

  • [ 1 ] [Guo, Zihao]Beijing Univ Technol, Fac Informat Technol, Beijing 100024, Peoples R China
  • [ 2 ] [Tang, Jian]Beijing Univ Technol, Fac Informat Technol, Beijing 100024, Peoples R China
  • [ 3 ] [Qiao, Junfei]Beijing Univ Technol, Fac Informat Technol, Beijing 100024, Peoples R China
  • [ 4 ] [Guo, Zihao]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 5 ] [Tang, Jian]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 6 ] [Qiao, Junfei]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Guo, Zihao]Beijing Univ Technol, Fac Informat Technol, Beijing 100024, Peoples R China;;[Guo, Zihao]Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

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Source :

2018 37TH CHINESE CONTROL CONFERENCE (CCC)

ISSN: 2161-2927

Year: 2018

Page: 3502-3507

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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