skip to main content

FOPDT Model Based on Experimental Data from Municipal Solid Waste Incineration Process Temperature Control in Fixed Bed

*Ainie Khuriati  -  Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia
Received: 5 Oct 2021; Revised: 19 Feb 2022; Accepted: 21 Feb 2022; Available online: 27 May 2022; Published: 28 May 2022.

Citation Format:
Abstract

Incineration is the waste combustion at controlled high temperatures which converts waste into flue gas with the main components being CO2 and water. Temperature control aims to ensure safe combustion operation. In this study, the temperature controller uses a two-position temperature controller whose main components include two thermocouples, MAX6675, two burners, blower, Arduino, and one laptop. Temperature controllers were used to maintain the temperature in the combustion chamber and afterburner at the specified setpoint, namely 630oC and 850oC, respectively.  To test the performance of the controller, two models were made. The modeling was made using the experimental data obtained. The results show that the model and experimental results are in good agreement.

Fulltext View|Download

Article Metrics:

  1. A. Khuriati, Purwanto P., Huboyo H. S., Sumariyah, Suryono, and Putranto A. B., "Numerical calculation based on mass and energy balance of waste incineration in the fixed bed reactor," J. Phys. Conf. Ser., 1524, 1, (2020)
  2. Shen K., Lu J., Li Z., and Liu G., "An adaptive fuzzy approach for the incineration temperature control process," Fuel, 84, 9, 1144–50, (2005)
  3. Lu J., Zhang S., Hai J., and Lei M., "Status and perspectives of municipal solid waste incineration in China : A comparison with developed regions," 69, 170–86, (2017)
  4. Hoang Q. N., Vanierschot M., Blondeau J., Croymans T., Pittoors R., and Van C. J., "Review of numerical studies on thermal treatment of municipal solid waste in packed bed combustion," Fuel Commun., 7, 100013, (2021)
  5. Nixon J. D., Wright D. G., Dey P. K., Ghosh S. K., and Davies P. A., "A comparative assessment of waste incinerators in the UK," Waste Manag., 33, 11, 2234–44, (2013)
  6. Leckner B., "Process aspects in combustion and gasification Waste-to-Energy (WtE) units. Waste Manag., 37, 13–25, (2015)
  7. Lombardi L., Carnevale E., and Corti A., "A review of technologies and performances of thermal treatment systems for energy recovery from waste," Waste Manag., 37, 26–44, (2015)
  8. Magnanelli E., Tranås O. L., Carlsson P., Mosby J., and Becidan M., "Dynamic modeling of municipal solid waste incineration," Energy, 209, 118426, (2020)
  9. Gu T., Yin C., Ma W., and Chen G., "Municipal solid waste incineration in a packed bed : A comprehensive modeling studGu, T. et al. (2019) ‘Municipal solid waste incineration in a packed bed : A comprehensive modeling study with experimental validation," Applied Energy, 247, 127–39, (2019)
  10. Yui K., Kuramochi H., and Osako M., "Measurement and modeling of heavy metal behaviors during the incineration of RDF in a pilot-scale kiln incinerator-Part 1: Modeling using multizonal thermodynamic equilibrium calculation," Process. Saf. Environ. Prot., 150, 373–84, (2021)
  11. Wei J., Li H., and Liu J., "Fate of dioxins in a municipal solid waste incinerator with state-of-the-art air pollution control devices in China," Environ. Pollut., 289, 117798, (2021)
  12. Costa M., Dell’Isola M., and Massarotti N., "Temperature and residence time of the combustion products in a waste-to-energy plant," Fuel, 102, 92–105, (2012)
  13. Madady A. and Reza-Alikhani H. R., "Stabilization of control loops consisting of FOPDT process and parameter-dependent PID controller," J. Process. Control, 22, 9, 1688–701, (2012)
  14. Fedele G., "A new method to estimate a first-order plus time delay model from step response," J. Franklin Inst., 346, 1, 1–9, (2009)
  15. Júnior G. A., Dos Santos J. B. M., and Barros P. R. "On Simple Identification Techniques for First-Order plus Time-Delay Systems," IFAC Proc. Vol. 42, 10, 605–10, (2009)
  16. Cox C., Tindle J., and Burn K., "A comparison of software-based approaches to identifying FOPDT and SOPDT model parameters from process step response data," Appl. Math. Model., 40, 1, 100–14, (2016)
  17. Yildinm U., Mutlu I., and Söylemez M. T. "An optimal robust tuning method for first order plus dead time systems with parameter uncertainty," IFAC-Papers OnLine, 28, 14, 126–31, (2015)
  18. Juchem J., Dekemele K., Chevalier A., Loccufier M., and Ionescu C. M., "First order plus frequency dependent delay modeling: New perspective or mathematical curiosity?" Conf. Proc. - IEEE Int. Conf. Syst. Man. Cybern., 2025–30, (2019)
  19. Muresan C. I. and Ionescu C. M., "Generalization of the FOPDT model for identification and control purposes," Processes,8, 6, 1–17, (2020)
  20. Mohan D., Pittman C. U., and Steele P. H., ”Pyrolysis of wood/biomass for bio-oil: A critical review," Energy and Fuels, 20, 3, 848–89, (2006)
  21. Matsakas L., Gao Q., Jansson S., Rova U., and Christakopoulos P., "Green conversion of municipal solid wastes into fuels and chemicals," Electron. J. Biotechnol., 26, 69–83, (2017)

Last update:

No citation recorded.

Last update:

No citation recorded.