Working Paper Article Version 1 This version is not peer-reviewed

Municipal Solid Waste Thermal Analysis – Pyrolysis Kinetics and Decomposition Reactions

Version 1 : Received: 6 June 2021 / Approved: 7 June 2021 / Online: 7 June 2021 (11:13:08 CEST)

How to cite: Syguła, E.; Świechowski, K.; Hejna, M.; Kunaszyk, I.; Białowiec, A. Municipal Solid Waste Thermal Analysis – Pyrolysis Kinetics and Decomposition Reactions. Preprints 2021, 2021060167 Syguła, E.; Świechowski, K.; Hejna, M.; Kunaszyk, I.; Białowiec, A. Municipal Solid Waste Thermal Analysis – Pyrolysis Kinetics and Decomposition Reactions. Preprints 2021, 2021060167

Abstract

In this study, 12 organic waste materials were subjected to TG/DTG thermogravimetric analysis and DSC calorimetric analysis. These analyses provided basic information about thermochemical transformations and degradation rates during organic waste pyrolysis. Waste materials were chosen to cover the most abundant waste that can be found in the municipal solid waste stream. Based on TG results, kinetic parameters according to Coats–Redfern method were determined. The pyrolysis activation energy was the highest for cotton 134.5 kJ∙(mol∙K)-1 and the lowest for leather 25.2 kJ∙(mol∙K)-1. The DSC analysis showed number of transformations occurred during pyrolysis for each material. For each transformation, normalized energy required for transformation, or released during transformation were determined and then summarized to present energy balance. The study found that only for three waste materials: PET (-220.1 J⸱g-1), leather (-66.9 J⸱g-1), and chicken meat (-130.3 J⸱g-1) energy balance was negative, while the highest positive balance value was found for potato peelings (367.8 J⸱g-1). The obtained results may be applied for the modelling of energy and mass balance of municipal solid waste pyrolysis.

Subject Areas

TGA, DTG, DSC, thermogravimetric analysis, differential scanning calorimetry, municipal solid waste, organic waste, proximate analysis, process kinetics, Coats–Redfern method

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