Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pichler, Mario, Haddadi, Bahram, Jordan, Christian, Norouzi, Hamidreza, Harasek, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633881/
https://www.ncbi.nlm.nih.gov/pubmed/34877378
http://dx.doi.org/10.1016/j.dib.2021.107603
_version_ 1784608019195101184
author Pichler, Mario
Haddadi, Bahram
Jordan, Christian
Norouzi, Hamidreza
Harasek, Michael
author_facet Pichler, Mario
Haddadi, Bahram
Jordan, Christian
Norouzi, Hamidreza
Harasek, Michael
author_sort Pichler, Mario
collection PubMed
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 ([Formula: see text] –1 m), the ratio of particle to kiln diameter ([Formula: see text] – [Formula: see text]), the ratio of kiln length to kiln diameter ([Formula: see text] –10), the kiln’s inclination angle ([Formula: see text] –8 [Formula: see text]), the Froude number ([Formula: see text] – [Formula: see text]), the rotational Reynolds number ([Formula: see text] – [Formula: see text]), and the Péclet number ([Formula: see text] –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 Online
Article
Text
id pubmed-8633881
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-86338812021-12-06 Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions Pichler, Mario Haddadi, Bahram Jordan, Christian Norouzi, Hamidreza Harasek, Michael Data Brief Data Article 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 ([Formula: see text] –1 m), the ratio of particle to kiln diameter ([Formula: see text] – [Formula: see text]), the ratio of kiln length to kiln diameter ([Formula: see text] –10), the kiln’s inclination angle ([Formula: see text] –8 [Formula: see text]), the Froude number ([Formula: see text] – [Formula: see text]), the rotational Reynolds number ([Formula: see text] – [Formula: see text]), and the Péclet number ([Formula: see text] –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]. Elsevier 2021-11-23 /pmc/articles/PMC8633881/ /pubmed/34877378 http://dx.doi.org/10.1016/j.dib.2021.107603 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Pichler, Mario
Haddadi, Bahram
Jordan, Christian
Norouzi, Hamidreza
Harasek, Michael
Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions
title 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_short 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
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8633881/
https://www.ncbi.nlm.nih.gov/pubmed/34877378
http://dx.doi.org/10.1016/j.dib.2021.107603
work_keys_str_mv AT pichlermario datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions
AT haddadibahram datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions
AT jordanchristian datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions
AT norouzihamidreza datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions
AT harasekmichael datasetforthesimulatedbiomasspyrolysisinrotarykilnswithvaryingparticleresidencetimedistributions