Standard

Kinetic parameters and heat of reaction for forest fuels based on genetic algorithm optimization. / Krieger Filho, G. C.; Costa, Franklin; Torraga Maria, G. F. и др.

в: Thermochimica Acta, Том 713, 179228, 07.2022.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Krieger Filho, GC, Costa, F, Torraga Maria, GF, Bufacchi, P, Trubachev, S, Shundrina, I & Korobeinichev, O 2022, 'Kinetic parameters and heat of reaction for forest fuels based on genetic algorithm optimization', Thermochimica Acta, Том. 713, 179228. https://doi.org/10.1016/j.tca.2022.179228

APA

Krieger Filho, G. C., Costa, F., Torraga Maria, G. F., Bufacchi, P., Trubachev, S., Shundrina, I., & Korobeinichev, O. (2022). Kinetic parameters and heat of reaction for forest fuels based on genetic algorithm optimization. Thermochimica Acta, 713, [179228]. https://doi.org/10.1016/j.tca.2022.179228

Vancouver

Krieger Filho GC, Costa F, Torraga Maria GF, Bufacchi P, Trubachev S, Shundrina I и др. Kinetic parameters and heat of reaction for forest fuels based on genetic algorithm optimization. Thermochimica Acta. 2022 июль;713:179228. doi: 10.1016/j.tca.2022.179228

Author

Krieger Filho, G. C. ; Costa, Franklin ; Torraga Maria, G. F. и др. / Kinetic parameters and heat of reaction for forest fuels based on genetic algorithm optimization. в: Thermochimica Acta. 2022 ; Том 713.

BibTeX

@article{9a19f1f252944206ac8981dba28a6c21,
title = "Kinetic parameters and heat of reaction for forest fuels based on genetic algorithm optimization",
abstract = "Environmental issues and climate change are playing a central role in our society. Forest and peatland fires can prejudice the environment and population health. Therefore, it is vital to study this phenomenon. The main goal of this work is to determine the kinetic parameters and heat of reaction for different forest fuels. Pine needles and sphagnum peat are typical fuels from the Northern Hemisphere, while Amazonian leaves and high-density peat are from the Southern Hemisphere. The DTG curves for pine needles and Amazonian leaves clearly show two peaks of mass loss, while for sphagnum peat a third mass-loss peak occurs for higher temperatures. For high-density peat degradation, there is only one significant peak of mass loss, which happens at a higher temperature. Also, the DSC curves for pine needles, Amazonian leaves, and high-density peat show two exothermic peaks along with the mass-loss peaks. However, the overall pattern is not the same. The maximum heat released for pine needles and high-density peat occurs at the second degradation stage. There are two exothermic peaks of almost the same magnitude for Amazonian leaves. Finally, three exothermic peaks match the peaks of mass loss for sphagnum peat. DTG and DSC curves patterns for all forest fuels are independent of the heating rate and atmospheric composition. In this work, the proposed pseudo reaction mechanism for pyrolysis and oxidation of the forest fuels contains five (for Amazonian leaves, high-density peat, and sphagnum peat) and seven (for pine needle) steps. The genetic algorithm optimization process compares the instantaneous recorded data of TGA, DTG, and DSC with the calculated ones. The optimized kinetic reactions parameters for the forest fuels are the activation energy, the pre-exponential factor, the global order of reaction, the stoichiometric coefficients, and the heat of reaction. The overall performance of the proposed mechanism is evaluated taking the error or the experimental data into account. This set of reaction kinetics parameters allows for a suitable numerical model for forest fires. To the authors' knowledge, a comprehensive assessment of the above parameters, including the heat of reaction, for forest fuels is lacking.",
keywords = "DSC, Forest fuels, Genetic Algorithm Optimization, Heat of reaction, Kinetics parameters, TGA",
author = "{Krieger Filho}, {G. C.} and Franklin Costa and {Torraga Maria}, {G. F.} and Paulo Bufacchi and Stanislav Trubachev and Inna Shundrina and Oleg Korobeinichev",
note = "Funding Information: The Brazilian team was supported by CNPq/Finep/MCTIC/BRICS grant number 402874/2019-6. This work was supported by the Russian Foundation for Basic Research (Project No. 19-58-80002). The authors acknowledge the utility of the Multi-Access Chemical Service Center SB RAS for the spectral and analytical measurements made. The authors thank Mr. Roman Glaznev for his support in the initial preparation of this work. Publisher Copyright: {\textcopyright} 2022",
year = "2022",
month = jul,
doi = "10.1016/j.tca.2022.179228",
language = "English",
volume = "713",
journal = "Thermochimica Acta",
issn = "0040-6031",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Kinetic parameters and heat of reaction for forest fuels based on genetic algorithm optimization

AU - Krieger Filho, G. C.

AU - Costa, Franklin

AU - Torraga Maria, G. F.

AU - Bufacchi, Paulo

AU - Trubachev, Stanislav

AU - Shundrina, Inna

AU - Korobeinichev, Oleg

N1 - Funding Information: The Brazilian team was supported by CNPq/Finep/MCTIC/BRICS grant number 402874/2019-6. This work was supported by the Russian Foundation for Basic Research (Project No. 19-58-80002). The authors acknowledge the utility of the Multi-Access Chemical Service Center SB RAS for the spectral and analytical measurements made. The authors thank Mr. Roman Glaznev for his support in the initial preparation of this work. Publisher Copyright: © 2022

PY - 2022/7

Y1 - 2022/7

N2 - Environmental issues and climate change are playing a central role in our society. Forest and peatland fires can prejudice the environment and population health. Therefore, it is vital to study this phenomenon. The main goal of this work is to determine the kinetic parameters and heat of reaction for different forest fuels. Pine needles and sphagnum peat are typical fuels from the Northern Hemisphere, while Amazonian leaves and high-density peat are from the Southern Hemisphere. The DTG curves for pine needles and Amazonian leaves clearly show two peaks of mass loss, while for sphagnum peat a third mass-loss peak occurs for higher temperatures. For high-density peat degradation, there is only one significant peak of mass loss, which happens at a higher temperature. Also, the DSC curves for pine needles, Amazonian leaves, and high-density peat show two exothermic peaks along with the mass-loss peaks. However, the overall pattern is not the same. The maximum heat released for pine needles and high-density peat occurs at the second degradation stage. There are two exothermic peaks of almost the same magnitude for Amazonian leaves. Finally, three exothermic peaks match the peaks of mass loss for sphagnum peat. DTG and DSC curves patterns for all forest fuels are independent of the heating rate and atmospheric composition. In this work, the proposed pseudo reaction mechanism for pyrolysis and oxidation of the forest fuels contains five (for Amazonian leaves, high-density peat, and sphagnum peat) and seven (for pine needle) steps. The genetic algorithm optimization process compares the instantaneous recorded data of TGA, DTG, and DSC with the calculated ones. The optimized kinetic reactions parameters for the forest fuels are the activation energy, the pre-exponential factor, the global order of reaction, the stoichiometric coefficients, and the heat of reaction. The overall performance of the proposed mechanism is evaluated taking the error or the experimental data into account. This set of reaction kinetics parameters allows for a suitable numerical model for forest fires. To the authors' knowledge, a comprehensive assessment of the above parameters, including the heat of reaction, for forest fuels is lacking.

AB - Environmental issues and climate change are playing a central role in our society. Forest and peatland fires can prejudice the environment and population health. Therefore, it is vital to study this phenomenon. The main goal of this work is to determine the kinetic parameters and heat of reaction for different forest fuels. Pine needles and sphagnum peat are typical fuels from the Northern Hemisphere, while Amazonian leaves and high-density peat are from the Southern Hemisphere. The DTG curves for pine needles and Amazonian leaves clearly show two peaks of mass loss, while for sphagnum peat a third mass-loss peak occurs for higher temperatures. For high-density peat degradation, there is only one significant peak of mass loss, which happens at a higher temperature. Also, the DSC curves for pine needles, Amazonian leaves, and high-density peat show two exothermic peaks along with the mass-loss peaks. However, the overall pattern is not the same. The maximum heat released for pine needles and high-density peat occurs at the second degradation stage. There are two exothermic peaks of almost the same magnitude for Amazonian leaves. Finally, three exothermic peaks match the peaks of mass loss for sphagnum peat. DTG and DSC curves patterns for all forest fuels are independent of the heating rate and atmospheric composition. In this work, the proposed pseudo reaction mechanism for pyrolysis and oxidation of the forest fuels contains five (for Amazonian leaves, high-density peat, and sphagnum peat) and seven (for pine needle) steps. The genetic algorithm optimization process compares the instantaneous recorded data of TGA, DTG, and DSC with the calculated ones. The optimized kinetic reactions parameters for the forest fuels are the activation energy, the pre-exponential factor, the global order of reaction, the stoichiometric coefficients, and the heat of reaction. The overall performance of the proposed mechanism is evaluated taking the error or the experimental data into account. This set of reaction kinetics parameters allows for a suitable numerical model for forest fires. To the authors' knowledge, a comprehensive assessment of the above parameters, including the heat of reaction, for forest fuels is lacking.

KW - DSC

KW - Forest fuels

KW - Genetic Algorithm Optimization

KW - Heat of reaction

KW - Kinetics parameters

KW - TGA

UR - http://www.scopus.com/inward/record.url?scp=85131101145&partnerID=8YFLogxK

U2 - 10.1016/j.tca.2022.179228

DO - 10.1016/j.tca.2022.179228

M3 - Article

AN - SCOPUS:85131101145

VL - 713

JO - Thermochimica Acta

JF - Thermochimica Acta

SN - 0040-6031

M1 - 179228

ER -

ID: 36249146