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New Models Used to Determine the Dioxins Total Amount and Toxicity (TEQ) in Atmospheric Emissions from Thermal Processes

Author

Listed:
  • Damià Palmer

    (Industrial Engineering Department, Institut Químic de Sarrià—Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain)

  • Josep O. Pou

    (Chemical Engineering Department, Institut Químic de Sarrià—Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain)

  • Lucinio Gonzalez-Sabaté

    (Quantitative Methods Department, Institut Químic de Sarrià—Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain)

  • Jordi Díaz-Ferrero

    (Analytical and Applied Chemistry Department, Institut Químic de Sarrià—Universitat Ramon Llull, Via Augusta 390, 08017 Barcelona, Spain)

  • Juan A. Conesa

    (Department of Chemical Engineering, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain)

  • Nuria Ortuño

    (Department of Chemical Engineering, University of Alicante, P.O. Box 99, E-03080 Alicante, Spain)

Abstract

In order to reduce the calculation effort during the simulation of the emission of polychlorinated dibenzo-p-dioxins and furans (PCDD/F) during municipal solid waste incineration, minimizing the number of simulated components is mandatory. For this purpose, two new multilinear regression models capable of determining the dioxins total amount and toxicity of an atmospheric emission have been adjusted based on previously published ones. The new source of data used (almost 200 PCDD/F analyses) provides a wider range of application to the models, increasing also the diversity of the emission sources, from industrial and laboratory scale thermal processes. Only three of the 17 toxic congeners (1,2,3,6,7,8-HxCDD, 2,3,7,8-TCDF and OCDF), whose formation was found to be linearly independent, were necessary as inputs for the models. All model parameters have been statistically validated and their confidence intervals have been calculated using the Bootstrap method. The resulting coefficients of determination (R 2 ) for the models are 0.9711 ± 0.0056 and 0.9583 ± 0.0085; its root mean square errors (RMSE) are 0.2115 and 0.2424, and its mean absolute errors (MAE) are 0.1541 and 0.1733 respectively.

Suggested Citation

  • Damià Palmer & Josep O. Pou & Lucinio Gonzalez-Sabaté & Jordi Díaz-Ferrero & Juan A. Conesa & Nuria Ortuño, 2019. "New Models Used to Determine the Dioxins Total Amount and Toxicity (TEQ) in Atmospheric Emissions from Thermal Processes," Energies, MDPI, vol. 12(23), pages 1-11, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4434-:d:289647
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    Cited by:

    1. Jun-Ik Son & Seung-Jae Lee & Se-In Park & Eun-Hye Kwon & Hueon Namkung & Jun-Gu Kang & Wonseok Lee, 2022. "Emission Characteristics of Polychlorinated Dibenzo-p-Dioxins/Dibenzofurans (PCDD/DFs) in Commercial Bio-SRF and SRF Incineration Plants," Energies, MDPI, vol. 15(8), pages 1-12, April.

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