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Dynamic modeling of multi-input and multi-output controlled object for municipal solid waste incineration process

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  • Ding, Haixu
  • Tang, Jian
  • Qiao, Junfei

Abstract

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 multi-input 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.

Suggested Citation

  • Ding, Haixu & Tang, Jian & Qiao, Junfei, 2023. "Dynamic modeling of multi-input and multi-output controlled object for municipal solid waste incineration process," Applied Energy, Elsevier, vol. 339(C).
    • Handle: RePEc:eee:appene:v:339:y:2023:i:c:s030626192300346x
    DOI: 10.1016/j.apenergy.2023.120982
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    References listed on IDEAS

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    1. Magnanelli, Elisa & Tranås, Olaf Lehn & Carlsson, Per & Mosby, Jostein & Becidan, Michael, 2020. "Dynamic modeling of municipal solid waste incineration," Energy, Elsevier, vol. 209(C).
    2. Malinauskaite, J. & Jouhara, H. & Czajczyńska, D. & Stanchev, P. & Katsou, E. & Rostkowski, P. & Thorne, R.J. & Colón, J. & Ponsá, S. & Al-Mansour, F. & Anguilano, L. & Krzyżyńska, R. & López, I.C. & , 2017. "Municipal solid waste management and waste-to-energy in the context of a circular economy and energy recycling in Europe," Energy, Elsevier, vol. 141(C), pages 2013-2044.
    3. Böhler, Lukas & Krail, Jürgen & Görtler, Gregor & Kozek, Martin, 2020. "Fuzzy model predictive control for small-scale biomass combustion furnaces," Applied Energy, Elsevier, vol. 276(C).
    4. Wojciech Judt, 2020. "Numerical and Experimental Analysis of Heat Transfer for Solid Fuels Combustion in Fixed Bed Conditions," Energies, MDPI, vol. 13(22), pages 1-18, November.
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    Cited by:

    1. Jian Tang & Hao Tian & Tianzheng Wang, 2024. "A Review of Model Predictive Control for the Municipal Solid Waste Incineration Process," Sustainability, MDPI, vol. 16(17), pages 1-35, September.

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