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

Damià Palmer, Josep O. Pou, Lucinio Gonzalez-Sabaté, Jordi Díaz-Ferrero, Juan A. Conesa and Nuria Ortuño
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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

Energies, 2019, vol. 12, issue 23, 1-11

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.

Keywords: PCDD/F; dioxins formation; MSW incineration; linear regression model; estimation of toxicity; congener profile (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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