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作者:

Ding, Haixu (Ding, Haixu.) | Tang, Jian (Tang, Jian.) | Qiao, Junfei (Qiao, Junfei.)

收录:

EI Scopus SCIE

摘要:

Municipal solid waste incineration (MSWI) is an important part of energy recovery and sustainable development, constructing the model of controlled object is the basis of studying its optimal control. MSWI is a typical multiinput and multi-output industrial process, which has many uncertain characteristics such as strong nonlinearity and multivariable coupling. To solve this problem, a model of controlled object in MSWI process is proposed in this paper. Firstly, the MSWI process based on grate incinerator is analyzed to summarize its relevant variables and control requirements. Secondly, the solid phase and gas phase of MSWI process are divided to construct material balance equations of subsystems. Next, the energy transfer process in incinerator is deduced and calculated through thermodynamic laws. Finally, the validity of the model is verified by the process data of a MSWI plant in Beijing, China, which lays a model foundation for the study of the optimal control of MSWI process.

关键词:

Municipal solid waste incineration Controlled object Dynamic modeling Multi -input and multi -output

作者机构:

  • [ 1 ] [Ding, Haixu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Tang, Jian]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Qiao, Junfei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Ding, Haixu]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 5 ] [Tang, Jian]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China
  • [ 6 ] [Qiao, Junfei]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China

通讯作者信息:

  • [Qiao, Junfei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;[Qiao, Junfei]Beijing Lab Smart Environm Protect, Beijing 100124, Peoples R China;;

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来源 :

APPLIED ENERGY

ISSN: 0306-2619

年份: 2023

卷: 339

1 1 . 2 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:19

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SCOPUS被引频次: 8

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