Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions

Slow pyrolysis of biomass is commonly performed in rotary kilns. The effect of the particle residence time distribution on biomass conversion is often neglected when numerically modeling such systems. But this effect might be significant under certain conditions.The data presented here are results o...

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Autores principales:	Mario Pichler, Bahram Haddadi, Christian Jordan, Hamidreza Norouzi, Michael Harasek
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Residence time distribution Biomass Pyrolysis Rotary kiln Numerical simulation Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/0192027231e446e4a73e503fb7325340
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spelling	oai:doaj.org-article:0192027231e446e4a73e503fb73253402021-11-28T04:33:21ZDataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions2352-340910.1016/j.dib.2021.107603https://doaj.org/article/0192027231e446e4a73e503fb73253402021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352340921008787https://doaj.org/toc/2352-3409Slow pyrolysis of biomass is commonly performed in rotary kilns. The effect of the particle residence time distribution on biomass conversion is often neglected when numerically modeling such systems. But this effect might be significant under certain conditions.The data presented here are results of numerical simulation of the biomass pyrolysis in rotary kilns under numerous operating conditions and levels of axial dispersion of biomass particles. The varied operating conditions are the kiln diameter (D=0.1–1 m), the ratio of particle to kiln diameter (d/D=5×10−3–40×10−3), the ratio of kiln length to kiln diameter (L/D=1–10), the kiln’s inclination angle (β=0.1–8∘), the Froude number (Fr=10−3–10−2), the rotational Reynolds number (Re=102–16×103), and the Péclet number (Pe=5–100). Data of 13,851 single case simulations are provided with this article. This includes the mean particle residence time, gas, bed and kiln wall temperatures, solid and gaseous species mass flows, heat fluxes, and the solid bed height over the kiln length.These comprehensive data have the potential to help in modeling, design, analysis, and optimization of rotary kilns used for the pyrolysis of biomass.The main characterization and interpretation is presented in the related main research paper by Pichler et al. (2021)[1].Mario PichlerBahram HaddadiChristian JordanHamidreza NorouziMichael HarasekElsevierarticleResidence time distributionBiomassPyrolysisRotary kilnNumerical simulationComputer applications to medicine. Medical informaticsR858-859.7Science (General)Q1-390ENData in Brief, Vol 39, Iss , Pp 107603- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Residence time distribution Biomass Pyrolysis Rotary kiln Numerical simulation Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390
spellingShingle	Residence time distribution Biomass Pyrolysis Rotary kiln Numerical simulation Computer applications to medicine. Medical informatics R858-859.7 Science (General) Q1-390 Mario Pichler Bahram Haddadi Christian Jordan Hamidreza Norouzi Michael Harasek Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
description	Slow pyrolysis of biomass is commonly performed in rotary kilns. The effect of the particle residence time distribution on biomass conversion is often neglected when numerically modeling such systems. But this effect might be significant under certain conditions.The data presented here are results of numerical simulation of the biomass pyrolysis in rotary kilns under numerous operating conditions and levels of axial dispersion of biomass particles. The varied operating conditions are the kiln diameter (D=0.1–1 m), the ratio of particle to kiln diameter (d/D=5×10−3–40×10−3), the ratio of kiln length to kiln diameter (L/D=1–10), the kiln’s inclination angle (β=0.1–8∘), the Froude number (Fr=10−3–10−2), the rotational Reynolds number (Re=102–16×103), and the Péclet number (Pe=5–100). Data of 13,851 single case simulations are provided with this article. This includes the mean particle residence time, gas, bed and kiln wall temperatures, solid and gaseous species mass flows, heat fluxes, and the solid bed height over the kiln length.These comprehensive data have the potential to help in modeling, design, analysis, and optimization of rotary kilns used for the pyrolysis of biomass.The main characterization and interpretation is presented in the related main research paper by Pichler et al. (2021)[1].
format	article
author	Mario Pichler Bahram Haddadi Christian Jordan Hamidreza Norouzi Michael Harasek
author_facet	Mario Pichler Bahram Haddadi Christian Jordan Hamidreza Norouzi Michael Harasek
author_sort	Mario Pichler
title	Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
title_short	Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
title_full	Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
title_fullStr	Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
title_full_unstemmed	Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
title_sort	dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0192027231e446e4a73e503fb7325340
work_keys_str_mv	AT mariopichler datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions AT bahramhaddadi datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions AT christianjordan datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions AT hamidrezanorouzi datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions AT michaelharasek datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions
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Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions

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