The Pyrolysis of Waste Biomass Investigated by Simultaneous TGA-DTA-MS Measurements and Kinetic Modeling with Deconvolution Functions
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Autori
Manić, Nebojša G.Janković, Bojan Ž.
Dodevski, Vladimir
Stojiljković, Dragoslava
Jovanović, Vladimir V.
Konferencijski prilog (Objavljena verzija)
,
© Springer Nature Switzerland AG 2020
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
As waste biomass from fruit processing industry, apricot kernel shells have a potential for conversion to renewable energy through a thermo-chemical process such as pyrolysis. However, due to major differences of biomass characteristics as the well-known issue, it is extremely important to perform detailed analysis of biomass samples from the same type (or same species) but from different geographical regions. Regarding full characterization of considered biomass material and to facilitate further process development, in this paper, the advanced mathematical model for kinetic analysis was used. All performed kinetic modeling represents the process kinetics developed and validated on thermal decomposition studies using simultaneous thermogravimetric analysis (TGA) – differential thermal analysis (DTA) – mass spectrometry (MS) scanning, at four heating rates of 5, 10, 15 and 20 °C min−1, over temperature range 30–900 °C and under an argon (Ar) atmosphere. Model-free analysis for base pre...diction of decomposition process and deconvolution approach by Fraser-Suzuki functions were utilized for determination of effective activation energies (E), pre-exponential factors (A) and fractional contributions (φ), as well as for separation of overlapping reactions. Comparative study of kinetic results with emission analysis of evolved gas species was also implemented in order to determine the more comprehensive pyrolysis kinetics model. Obtained results strongly indicated that the Fraser-Suzuki deconvolution provides excellent quality of fits with experimental ones, and could be employed to predict devolatilization rates with a high probability. From energy compensation effect properties, it was revealed the existence of unconventional thermal lag due to heat demand by chemical reaction. © Springer Nature Switzerland AG 2020.
Ključne reči:
Fraser-Suzuki deconvolution / Kinetics / Pseudo-components / Pyrolysis / Unconventional thermal lag / Waste lignocellulosic biomassIzvor:
Computational and Experimental Approaches in Materials Science and Engineering, CNNTech 2019, 2020, 90, 39-60Finansiranje / projekti:
- Smanjenje aerozagađenja iz termoelektrana u JP Elektroprivreda Srbije (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-42010)
- Dinamika nelinearnih fizičkohemijskih i biohemijskih sistema sa modeliranjem i predviđanjem njihovih ponašanja pod neravnotežnim uslovima (RS-MESTD-Basic Research (BR or ON)-172015)
- Funkcionalni, funkcionalizovani i usavršeni nano materijali (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-45005)
Napomena:
- In: Mitrovic N., Milosevic M., Mladenovic G. (eds) Computational and Experimental Approaches in Materials Science and Engineering. CNNTech 2018. Lecture Notes in Networks and Systems, vol 90. Springer, Cham
DOI: 10.1007/978-3-030-30853-7_3
ISSN: 2367-3370
WoS: 000613139400003
Scopus: 2-s2.0-85073194479
Kolekcije
Institucija/grupa
VinčaTY - CONF AU - Manić, Nebojša G. AU - Janković, Bojan Ž. AU - Dodevski, Vladimir AU - Stojiljković, Dragoslava AU - Jovanović, Vladimir V. PY - 2020 UR - https://vinar.vin.bg.ac.rs/handle/123456789/8527 AB - As waste biomass from fruit processing industry, apricot kernel shells have a potential for conversion to renewable energy through a thermo-chemical process such as pyrolysis. However, due to major differences of biomass characteristics as the well-known issue, it is extremely important to perform detailed analysis of biomass samples from the same type (or same species) but from different geographical regions. Regarding full characterization of considered biomass material and to facilitate further process development, in this paper, the advanced mathematical model for kinetic analysis was used. All performed kinetic modeling represents the process kinetics developed and validated on thermal decomposition studies using simultaneous thermogravimetric analysis (TGA) – differential thermal analysis (DTA) – mass spectrometry (MS) scanning, at four heating rates of 5, 10, 15 and 20 °C min−1, over temperature range 30–900 °C and under an argon (Ar) atmosphere. Model-free analysis for base prediction of decomposition process and deconvolution approach by Fraser-Suzuki functions were utilized for determination of effective activation energies (E), pre-exponential factors (A) and fractional contributions (φ), as well as for separation of overlapping reactions. Comparative study of kinetic results with emission analysis of evolved gas species was also implemented in order to determine the more comprehensive pyrolysis kinetics model. Obtained results strongly indicated that the Fraser-Suzuki deconvolution provides excellent quality of fits with experimental ones, and could be employed to predict devolatilization rates with a high probability. From energy compensation effect properties, it was revealed the existence of unconventional thermal lag due to heat demand by chemical reaction. © Springer Nature Switzerland AG 2020. C3 - Computational and Experimental Approaches in Materials Science and Engineering, CNNTech 2019 T1 - The Pyrolysis of Waste Biomass Investigated by Simultaneous TGA-DTA-MS Measurements and Kinetic Modeling with Deconvolution Functions VL - 90 SP - 39 EP - 60 DO - 10.1007/978-3-030-30853-7_3 ER -
@conference{ author = "Manić, Nebojša G. and Janković, Bojan Ž. and Dodevski, Vladimir and Stojiljković, Dragoslava and Jovanović, Vladimir V.", year = "2020", abstract = "As waste biomass from fruit processing industry, apricot kernel shells have a potential for conversion to renewable energy through a thermo-chemical process such as pyrolysis. However, due to major differences of biomass characteristics as the well-known issue, it is extremely important to perform detailed analysis of biomass samples from the same type (or same species) but from different geographical regions. Regarding full characterization of considered biomass material and to facilitate further process development, in this paper, the advanced mathematical model for kinetic analysis was used. All performed kinetic modeling represents the process kinetics developed and validated on thermal decomposition studies using simultaneous thermogravimetric analysis (TGA) – differential thermal analysis (DTA) – mass spectrometry (MS) scanning, at four heating rates of 5, 10, 15 and 20 °C min−1, over temperature range 30–900 °C and under an argon (Ar) atmosphere. Model-free analysis for base prediction of decomposition process and deconvolution approach by Fraser-Suzuki functions were utilized for determination of effective activation energies (E), pre-exponential factors (A) and fractional contributions (φ), as well as for separation of overlapping reactions. Comparative study of kinetic results with emission analysis of evolved gas species was also implemented in order to determine the more comprehensive pyrolysis kinetics model. Obtained results strongly indicated that the Fraser-Suzuki deconvolution provides excellent quality of fits with experimental ones, and could be employed to predict devolatilization rates with a high probability. From energy compensation effect properties, it was revealed the existence of unconventional thermal lag due to heat demand by chemical reaction. © Springer Nature Switzerland AG 2020.", journal = "Computational and Experimental Approaches in Materials Science and Engineering, CNNTech 2019", title = "The Pyrolysis of Waste Biomass Investigated by Simultaneous TGA-DTA-MS Measurements and Kinetic Modeling with Deconvolution Functions", volume = "90", pages = "39-60", doi = "10.1007/978-3-030-30853-7_3" }
Manić, N. G., Janković, B. Ž., Dodevski, V., Stojiljković, D.,& Jovanović, V. V.. (2020). The Pyrolysis of Waste Biomass Investigated by Simultaneous TGA-DTA-MS Measurements and Kinetic Modeling with Deconvolution Functions. in Computational and Experimental Approaches in Materials Science and Engineering, CNNTech 2019, 90, 39-60. https://doi.org/10.1007/978-3-030-30853-7_3
Manić NG, Janković BŽ, Dodevski V, Stojiljković D, Jovanović VV. The Pyrolysis of Waste Biomass Investigated by Simultaneous TGA-DTA-MS Measurements and Kinetic Modeling with Deconvolution Functions. in Computational and Experimental Approaches in Materials Science and Engineering, CNNTech 2019. 2020;90:39-60. doi:10.1007/978-3-030-30853-7_3 .
Manić, Nebojša G., Janković, Bojan Ž., Dodevski, Vladimir, Stojiljković, Dragoslava, Jovanović, Vladimir V., "The Pyrolysis of Waste Biomass Investigated by Simultaneous TGA-DTA-MS Measurements and Kinetic Modeling with Deconvolution Functions" in Computational and Experimental Approaches in Materials Science and Engineering, CNNTech 2019, 90 (2020):39-60, https://doi.org/10.1007/978-3-030-30853-7_3 . .