Sensitivity analysis of an unsteady char particle combustion
| Autor: | Antonio Attili, Ahmed Hassan, Taraneh Sayadi, Vincent Le Chenadec |
|---|---|
| Přispěvatelé: | Rheinisch-Westfälische Technische Hochschule Aachen (RWTH), Institut Jean Le Rond d'Alembert (DALEMBERT), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Scale (ratio)
020209 energy General Chemical Engineering Unsteady char burnout Organic Chemistry Flow (psychology) Energy Engineering and Power Technology Particle combustion 02 engineering and technology Mechanics Computational fluid dynamics Space (mathematics) Combustion 7. Clean energy Atmosphere [SPI]Engineering Sciences [physics] Fuel Technology 020401 chemical engineering 0202 electrical engineering electronic engineering information engineering Char Sensitivity (control systems) 0204 chemical engineering Sensitivity analysis Mathematics |
| Zdroj: | Hassan, A, Sayadi, T, Le Chenadec, V & Attili, A 2021, ' Sensitivity analysis of an unsteady char particle combustion ', Fuel, vol. 287, 119738 . https://doi.org/10.1016/j.fuel.2020.119738 Fuel Fuel, Elsevier, 2021, ⟨10.1016/j.fuel.2020.119738⟩ |
| ISSN: | 0016-2361 1873-7153 |
| DOI: | 10.1016/j.fuel.2020.119738 |
| Popis: | International audience; Simulations of unsteady char particle combustion rely on various models that are necessary in order to correctly predict the governing flow and combustion processes. These models, in turn, rely on model parameters, which are determined by experiments or small scale simulations and contain a certain level of uncertainty. It is therefore, essential to correctly determine the sensitivities of quantities of interest measured using such simulations, with respect to the existing parameters. In this study, a discrete adjoint algorithm is employed to extract sensitivities of various quantities of interest with respect to physical and model parameters. This adjoint framework bears a great advantage in cases where a large input space is analyzed, since a single forward and backward sweep provides sensitivity information with respect to all parameters of interest. Sensitivities are extracted for relevant quantities of interest, such as burning rate and particle temperature, and are then compared as free stream composition changes from air to oxy atmosphere. The evolution of sensitivities in time is shown to be dependent on the selected quantity of interest. Model sensitivities with respect to heterogeneous reaction parameters (oxidation of carbon, in particular) are shown to be the highest, whereas the sensitivities with respect to free stream composition are shown to be significantly lower. |
| Databáze: | OpenAIRE |
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