Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of Hydrochars
This study examines the kinetics of pyrolysis and oxidation of hydrochars through thermal analysis. Thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) techniques were used to investigate the decomposition profiles and develop two distributed activation energy models (DAEM)...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/3/950 |
| _version_ | 1797488083201949696 |
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| author | Gabriella Gonnella Giulia Ischia Luca Fambri Luca Fiori |
| author_facet | Gabriella Gonnella Giulia Ischia Luca Fambri Luca Fiori |
| author_sort | Gabriella Gonnella |
| collection | DOAJ |
| description | This study examines the kinetics of pyrolysis and oxidation of hydrochars through thermal analysis. Thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) techniques were used to investigate the decomposition profiles and develop two distributed activation energy models (DAEM) of hydrochars derived from the hydrothermal carbonization of grape seeds produced at different temperatures (180, 220, and 250 °C). Data were collected at 1, 3, and 10 °C/min between 30 and 700 °C. TGA data highlighted a decomposition profile similar to that of the raw biomass for hydrochars obtained at 180 and 220 °C (with a clear distinction between oil, cellulosic, hemicellulosic, and lignin-like compounds), while presenting a more stable profile for the 250 °C hydrochar. DSC showed a certain exothermic behavior during pyrolysis of hydrochars, an aspect also investigated through thermodynamic simulations in Aspen Plus. Regarding the DAEM, according to a Gaussian model, the severity of the treatment slightly affects kinetic parameters, with average activation energies between 193 and 220 kJ/mol. Meanwhile, the Miura–Maki model highlights the distributions of the activation energy and the pre-exponential factor during the decomposition. |
| first_indexed | 2024-03-09T23:57:04Z |
| format | Article |
| id | doaj.art-0995a8ff271b454cb9468ffd5094b6c6 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:57:04Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0995a8ff271b454cb9468ffd5094b6c62023-11-23T16:22:37ZengMDPI AGEnergies1996-10732022-01-0115395010.3390/en15030950Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of HydrocharsGabriella Gonnella0Giulia Ischia1Luca Fambri2Luca Fiori3Department of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, ItalyDepartment of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, ItalyDepartment of Industrial Engineering, University of Trento, Via Sommarive 9, 38123 Trento, ItalyDepartment of Civil, Environmental and Mechanical Engineering, University of Trento, 38123 Trento, ItalyThis study examines the kinetics of pyrolysis and oxidation of hydrochars through thermal analysis. Thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) techniques were used to investigate the decomposition profiles and develop two distributed activation energy models (DAEM) of hydrochars derived from the hydrothermal carbonization of grape seeds produced at different temperatures (180, 220, and 250 °C). Data were collected at 1, 3, and 10 °C/min between 30 and 700 °C. TGA data highlighted a decomposition profile similar to that of the raw biomass for hydrochars obtained at 180 and 220 °C (with a clear distinction between oil, cellulosic, hemicellulosic, and lignin-like compounds), while presenting a more stable profile for the 250 °C hydrochar. DSC showed a certain exothermic behavior during pyrolysis of hydrochars, an aspect also investigated through thermodynamic simulations in Aspen Plus. Regarding the DAEM, according to a Gaussian model, the severity of the treatment slightly affects kinetic parameters, with average activation energies between 193 and 220 kJ/mol. Meanwhile, the Miura–Maki model highlights the distributions of the activation energy and the pre-exponential factor during the decomposition.https://www.mdpi.com/1996-1073/15/3/950hydrothermal carbonizationmodelingkineticsthermal analysisAspen Plusbiomass |
| spellingShingle | Gabriella Gonnella Giulia Ischia Luca Fambri Luca Fiori Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of Hydrochars Energies hydrothermal carbonization modeling kinetics thermal analysis Aspen Plus biomass |
| title | Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of Hydrochars |
| title_full | Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of Hydrochars |
| title_fullStr | Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of Hydrochars |
| title_full_unstemmed | Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of Hydrochars |
| title_short | Thermal Analysis and Kinetic Modeling of Pyrolysis and Oxidation of Hydrochars |
| title_sort | thermal analysis and kinetic modeling of pyrolysis and oxidation of hydrochars |
| topic | hydrothermal carbonization modeling kinetics thermal analysis Aspen Plus biomass |
| url | https://www.mdpi.com/1996-1073/15/3/950 |
| work_keys_str_mv | AT gabriellagonnella thermalanalysisandkineticmodelingofpyrolysisandoxidationofhydrochars AT giuliaischia thermalanalysisandkineticmodelingofpyrolysisandoxidationofhydrochars AT lucafambri thermalanalysisandkineticmodelingofpyrolysisandoxidationofhydrochars AT lucafiori thermalanalysisandkineticmodelingofpyrolysisandoxidationofhydrochars |