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作者:

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

收录:

CPCI-S

摘要:

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.

关键词:

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

作者机构:

  • [ 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

通讯作者信息:

  • [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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来源 :

2018 37TH CHINESE CONTROL CONFERENCE (CCC)

ISSN: 2161-2927

年份: 2018

页码: 3502-3507

语种: 英文

被引次数:

WoS核心集被引频次: 1

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