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Surrogate Reaction Mechanism for Waste Incineration and Pollutant Formation
NTNU Norwegian University of Science and Technology, Norway.
RISE Research Institutes of Sweden, Safety and Transport, Safety Research. NTNU Norwegian University of Science and Technology, Norway.ORCID iD: 0000-0002-4248-8396
NTNU Norwegian University of Science and Technology, Norway.
2021 (English)In: Energy & Fuels, ISSN 0887-0624, E-ISSN 1520-5029, Vol. 35, no 9, p. 7030-7049Article in journal (Refereed) Published
Abstract [en]

The incineration of municipal solid waste (MSW) is an attractive technology to generate thermal energy and reduce landfill waste volume. To optimize primary measures to ensure low emission formation during combustion, numerical models that account for varying waste streams and their impact on nitrogen oxide (NOx) formation are needed. In this work, the representation of the fuel by surrogate species is adopted from liquid fuel and biomass combustion and applied to solid waste devolatilization and combustion. A surrogate formulation including biomass components, protein, inorganics, and plastic species is proposed, and a comprehensive description of the heterogeneous and homogeneous reactions is developed. The presented work combines and extends available schemes from the literature for woody and algae biomass, coal, and plastic pyrolysis. The focus is set on the prediction of fuel NOx and its precursors, including cyclic nitrogen-containing hydrocarbons. Additionally, the interaction of NOx with sulfur and chloride species is accounted for, which are typically released during the devolatilization of MSW. The model allows for predicting thermogravimetric analysis measurement of waste fractions and different waste mixtures. The proposed kinetic mechanism well reproduces NOx formation from ammonia and hydrogen cyanide and its reduction under selective non-catalytic reduction conditions. The chemical model is successfully applied to predict the released gas composition along a grate-fired fuel bed using a stochastic reactor network. © 2021 The Authors.

Place, publisher, year, edition, pages
American Chemical Society , 2021. Vol. 35, no 9, p. 7030-7049
Keywords [en]
Ammonia, Biomass, Chlorine compounds, Coal combustion, Forecasting, Fuels, Metropolitan area networks, Municipal solid waste, Nitrogen oxides, Selective catalytic reduction, Stochastic models, Stochastic systems, Thermogravimetric analysis, Biomass combustion, Biomass components, Homogeneous reaction, Municipal solid waste (MSW), Pollutant formation, Reaction mechanism, Selective non-catalytic reduction, Stochastic reactors, Waste incineration
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:ri:diva-52523DOI: 10.1021/acs.energyfuels.0c03485Scopus ID: 2-s2.0-85101317356OAI: oai:DiVA.org:ri-52523DiVA, id: diva2:1536789
Note

Funding details: Vattenfall; Funding details: Norges Forskningsråd; Funding text 1: The authors acknowledge the financial support by the Knowledge-Building Project GrateCFD (267957), funded by Statkraft Varme AS, EGE Oslo, Vattenfall AB, Hitachi Zosen Inova AG, Returkraft AS, and LOGE AB, together with the Research Council of Norway through the ENERGIX Program. UNINET Sigma2 and NTNU HPC Group provided high-performance computational resources.

Available from: 2021-03-12 Created: 2021-03-12 Last updated: 2023-06-08Bibliographically approved

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