Computational approaches for modeling biomass pyrolysis: slow pyrolysis process of apricot kernel shells controled by nonisothermal simultaneous thermal analysis (STA)
Само за регистроване кориснике
2019
Аутори
Manić, NebojšaJanković, Bojan
Pijović, Milena
Waisi, Hadi
Dodevski, Vladimir
Stojiljković, Dragoslava
Jovanović, Vladimir
Конференцијски прилог (Објављена верзија)
,
AKCongress Budapest Hungary
Метаподаци
Приказ свих података о документуАпстракт
Pyrolysis of lignocellulosic biomass is a promising process capable of producing renewable
fuels and chemicals that are currently derived from non-renewable sources. However,
industrial pyrolysis processes to make these products from biomass are not yet economically
viable and require significant optimization before they can contribute to existing oil-based
transportation and chemical systems. One means of optimization uses kinetic and transport
models for predicting the products of biomass pyrolysis, which serve as the basis for designing
pyrolysis reactors capable of producing the highest value products. In this work, two
computational approaches applied in modeling the complex pyrolysis process of biomass
were presented. First approach encompasses iterative isoconversional method established in
generic codes in MATLAB program. Second approach represents the use of Fraser-Suzuki
fitting function for resolving the rate curves that arise from complex process of lignocellulosi...c
materials. In the latter case, every identified reaction step was considered through
mechanistic description, which involves selection the appropriate kinetic model function.
Comparison of the results as well as discrepancies between them has been discussed. As an
example, the slow pyrolysis of apricot (Prunus armeniaca) kernel shells was taken into the
consideration, where devolatilization process is monitored using the simultaneous thermal
analysis (STA).
Кључне речи:
Pyrolysis / Modeling / Apricot wastes / Kinetics / Fraser-Suzuki / Kinetic model functionИзвор:
Book of Abstracts 2nd Journal of Thermal Analysis and Calorimetry Conference, 2019, 517-Издавач:
- AKCongress Budapest Hungary
Финансирање / пројекти:
- project relation="info:eu-repo/grantAgreement/MESTD/inst-2020/200105/RS//" (RS-MESTD-inst-2020-200105)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200105 (Универзитет у Београду, Машински факултет) (RS-MESTD-inst-2020-200105)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Manić, Nebojša AU - Janković, Bojan AU - Pijović, Milena AU - Waisi, Hadi AU - Dodevski, Vladimir AU - Stojiljković, Dragoslava AU - Jovanović, Vladimir PY - 2019 UR - https://machinery.mas.bg.ac.rs/handle/123456789/7253 AB - Pyrolysis of lignocellulosic biomass is a promising process capable of producing renewable fuels and chemicals that are currently derived from non-renewable sources. However, industrial pyrolysis processes to make these products from biomass are not yet economically viable and require significant optimization before they can contribute to existing oil-based transportation and chemical systems. One means of optimization uses kinetic and transport models for predicting the products of biomass pyrolysis, which serve as the basis for designing pyrolysis reactors capable of producing the highest value products. In this work, two computational approaches applied in modeling the complex pyrolysis process of biomass were presented. First approach encompasses iterative isoconversional method established in generic codes in MATLAB program. Second approach represents the use of Fraser-Suzuki fitting function for resolving the rate curves that arise from complex process of lignocellulosic materials. In the latter case, every identified reaction step was considered through mechanistic description, which involves selection the appropriate kinetic model function. Comparison of the results as well as discrepancies between them has been discussed. As an example, the slow pyrolysis of apricot (Prunus armeniaca) kernel shells was taken into the consideration, where devolatilization process is monitored using the simultaneous thermal analysis (STA). PB - AKCongress Budapest Hungary C3 - Book of Abstracts 2nd Journal of Thermal Analysis and Calorimetry Conference T1 - Computational approaches for modeling biomass pyrolysis: slow pyrolysis process of apricot kernel shells controled by nonisothermal simultaneous thermal analysis (STA) SP - 517 UR - https://hdl.handle.net/21.15107/rcub_machinery_7253 ER -
@conference{ author = "Manić, Nebojša and Janković, Bojan and Pijović, Milena and Waisi, Hadi and Dodevski, Vladimir and Stojiljković, Dragoslava and Jovanović, Vladimir", year = "2019", abstract = "Pyrolysis of lignocellulosic biomass is a promising process capable of producing renewable fuels and chemicals that are currently derived from non-renewable sources. However, industrial pyrolysis processes to make these products from biomass are not yet economically viable and require significant optimization before they can contribute to existing oil-based transportation and chemical systems. One means of optimization uses kinetic and transport models for predicting the products of biomass pyrolysis, which serve as the basis for designing pyrolysis reactors capable of producing the highest value products. In this work, two computational approaches applied in modeling the complex pyrolysis process of biomass were presented. First approach encompasses iterative isoconversional method established in generic codes in MATLAB program. Second approach represents the use of Fraser-Suzuki fitting function for resolving the rate curves that arise from complex process of lignocellulosic materials. In the latter case, every identified reaction step was considered through mechanistic description, which involves selection the appropriate kinetic model function. Comparison of the results as well as discrepancies between them has been discussed. As an example, the slow pyrolysis of apricot (Prunus armeniaca) kernel shells was taken into the consideration, where devolatilization process is monitored using the simultaneous thermal analysis (STA).", publisher = "AKCongress Budapest Hungary", journal = "Book of Abstracts 2nd Journal of Thermal Analysis and Calorimetry Conference", title = "Computational approaches for modeling biomass pyrolysis: slow pyrolysis process of apricot kernel shells controled by nonisothermal simultaneous thermal analysis (STA)", pages = "517", url = "https://hdl.handle.net/21.15107/rcub_machinery_7253" }
Manić, N., Janković, B., Pijović, M., Waisi, H., Dodevski, V., Stojiljković, D.,& Jovanović, V.. (2019). Computational approaches for modeling biomass pyrolysis: slow pyrolysis process of apricot kernel shells controled by nonisothermal simultaneous thermal analysis (STA). in Book of Abstracts 2nd Journal of Thermal Analysis and Calorimetry Conference AKCongress Budapest Hungary., 517. https://hdl.handle.net/21.15107/rcub_machinery_7253
Manić N, Janković B, Pijović M, Waisi H, Dodevski V, Stojiljković D, Jovanović V. Computational approaches for modeling biomass pyrolysis: slow pyrolysis process of apricot kernel shells controled by nonisothermal simultaneous thermal analysis (STA). in Book of Abstracts 2nd Journal of Thermal Analysis and Calorimetry Conference. 2019;:517. https://hdl.handle.net/21.15107/rcub_machinery_7253 .
Manić, Nebojša, Janković, Bojan, Pijović, Milena, Waisi, Hadi, Dodevski, Vladimir, Stojiljković, Dragoslava, Jovanović, Vladimir, "Computational approaches for modeling biomass pyrolysis: slow pyrolysis process of apricot kernel shells controled by nonisothermal simultaneous thermal analysis (STA)" in Book of Abstracts 2nd Journal of Thermal Analysis and Calorimetry Conference (2019):517, https://hdl.handle.net/21.15107/rcub_machinery_7253 .