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Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion

The dataset presented in this article is the supplementary data for the research article by Żukowski and Berkowicz (doi:10.1016/j.combustflame.2019.05.024) [1], in which for the first time the inert and catalytic cenospheres were used as the fluidised bed material, giving the possibility to burn liq...

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Autores principales: Żukowski, Witold, Berkowicz, Gabriela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082517/
https://www.ncbi.nlm.nih.gov/pubmed/32211464
http://dx.doi.org/10.1016/j.dib.2020.105418
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author Żukowski, Witold
Berkowicz, Gabriela
author_facet Żukowski, Witold
Berkowicz, Gabriela
author_sort Żukowski, Witold
collection PubMed
description The dataset presented in this article is the supplementary data for the research article by Żukowski and Berkowicz (doi:10.1016/j.combustflame.2019.05.024) [1], in which for the first time the inert and catalytic cenospheres were used as the fluidised bed material, giving the possibility to burn liquids inside the fluidised bed without the need for using specialised dosing systems. The instantaneous concentrations of the gaseous products during the combustion of glycerol samples were detected using Fourier Transform Infrared Spectroscopy (FTIR, Gasmet DX-4000). The accurate composition at the outlet of the reactor makes it possible to evaluate and verify new kinetic models of the glycerol combustion in the fluidised bed. It also will be helpful in creating new simplified models. The data presented here is essential for the evaluation of CFD combustion models which have to include accurate kinetic data.
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spelling pubmed-70825172020-03-24 Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion Żukowski, Witold Berkowicz, Gabriela Data Brief Chemical Engineering The dataset presented in this article is the supplementary data for the research article by Żukowski and Berkowicz (doi:10.1016/j.combustflame.2019.05.024) [1], in which for the first time the inert and catalytic cenospheres were used as the fluidised bed material, giving the possibility to burn liquids inside the fluidised bed without the need for using specialised dosing systems. The instantaneous concentrations of the gaseous products during the combustion of glycerol samples were detected using Fourier Transform Infrared Spectroscopy (FTIR, Gasmet DX-4000). The accurate composition at the outlet of the reactor makes it possible to evaluate and verify new kinetic models of the glycerol combustion in the fluidised bed. It also will be helpful in creating new simplified models. The data presented here is essential for the evaluation of CFD combustion models which have to include accurate kinetic data. Elsevier 2020-03-12 /pmc/articles/PMC7082517/ /pubmed/32211464 http://dx.doi.org/10.1016/j.dib.2020.105418 Text en © 2020 The Author(s) http://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 Chemical Engineering
Żukowski, Witold
Berkowicz, Gabriela
Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion
title Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion
title_full Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion
title_fullStr Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion
title_full_unstemmed Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion
title_short Dataset on flue gas composition during combustion in the fluidised bed reactor. Glycerol combustion
title_sort dataset on flue gas composition during combustion in the fluidised bed reactor. glycerol combustion
topic Chemical Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7082517/
https://www.ncbi.nlm.nih.gov/pubmed/32211464
http://dx.doi.org/10.1016/j.dib.2020.105418
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