Cargando…

Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion

The reduction of iron oxides transpires through the application of heat wherein a carbon source known as reductant is required. In order to design a chemical looping combustion using iron as an oxygen carrier and torrefied microalgae biomass as a reductant, the kinetics and thermodynamics dataset mu...

Descripción completa

Detalles Bibliográficos
Autores principales: Ubando, Aristotle T., Chen, Wei-Hsin, Ashokkumar, Veeramuthu, Chang, Jo-Shu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033322/
https://www.ncbi.nlm.nih.gov/pubmed/32149166
http://dx.doi.org/10.1016/j.dib.2020.105261
_version_ 1783499641525895168
author Ubando, Aristotle T.
Chen, Wei-Hsin
Ashokkumar, Veeramuthu
Chang, Jo-Shu
author_facet Ubando, Aristotle T.
Chen, Wei-Hsin
Ashokkumar, Veeramuthu
Chang, Jo-Shu
author_sort Ubando, Aristotle T.
collection PubMed
description The reduction of iron oxides transpires through the application of heat wherein a carbon source known as reductant is required. In order to design a chemical looping combustion using iron as an oxygen carrier and torrefied microalgae biomass as a reductant, the kinetics and thermodynamics dataset must be determined. Using the Arrhenius law of reaction, the kinetics dataset was obtained employing the three chemical reaction model such as the first order (C1), the reaction order 1.5 (C1.5), and the second-order (C2). The iron oxide reduction from hematite to metallic iron was sub-divided into three phases wherein phase 1 (Fe(2)O(3) → Fe(3)O(4)) is from 365 °C to 555 °C, phase 2 (Fe(3)O(4) → FeO) is from 595 °C to 799 °C, and phase 3 (FeO → Fe) is from 800 °C to 1200 °C. Two torrefied microalgae (Chlamydomonas sp. JSC4 and Chlorella vulgaris ESP-31) were considered as a reducing agent. The kinetics dataset comprise of the activation energy (E), pre-exponential factor (A), and the reaction rate (k) while the thermodynamic dataset consists of the change in enthalpy (ΔH), change in Gibbs energy (ΔG), and change in entropy (ΔS). These kinetics and thermodynamics parameters are essential in understanding the reaction mechanisms of the reduction process of iron oxides enabling process optimization and improvement. Current literature lacks the kinetics and thermodynamics datasets for the reduction of iron oxides using the two torrefied microalgae as reductants. This work provides these datasets which are useful for the design of reactors in chemical looping combustion.
format Online
Article
Text
id pubmed-7033322
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-70333222020-03-06 Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion Ubando, Aristotle T. Chen, Wei-Hsin Ashokkumar, Veeramuthu Chang, Jo-Shu Data Brief Energy The reduction of iron oxides transpires through the application of heat wherein a carbon source known as reductant is required. In order to design a chemical looping combustion using iron as an oxygen carrier and torrefied microalgae biomass as a reductant, the kinetics and thermodynamics dataset must be determined. Using the Arrhenius law of reaction, the kinetics dataset was obtained employing the three chemical reaction model such as the first order (C1), the reaction order 1.5 (C1.5), and the second-order (C2). The iron oxide reduction from hematite to metallic iron was sub-divided into three phases wherein phase 1 (Fe(2)O(3) → Fe(3)O(4)) is from 365 °C to 555 °C, phase 2 (Fe(3)O(4) → FeO) is from 595 °C to 799 °C, and phase 3 (FeO → Fe) is from 800 °C to 1200 °C. Two torrefied microalgae (Chlamydomonas sp. JSC4 and Chlorella vulgaris ESP-31) were considered as a reducing agent. The kinetics dataset comprise of the activation energy (E), pre-exponential factor (A), and the reaction rate (k) while the thermodynamic dataset consists of the change in enthalpy (ΔH), change in Gibbs energy (ΔG), and change in entropy (ΔS). These kinetics and thermodynamics parameters are essential in understanding the reaction mechanisms of the reduction process of iron oxides enabling process optimization and improvement. Current literature lacks the kinetics and thermodynamics datasets for the reduction of iron oxides using the two torrefied microalgae as reductants. This work provides these datasets which are useful for the design of reactors in chemical looping combustion. Elsevier 2020-02-07 /pmc/articles/PMC7033322/ /pubmed/32149166 http://dx.doi.org/10.1016/j.dib.2020.105261 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 Energy
Ubando, Aristotle T.
Chen, Wei-Hsin
Ashokkumar, Veeramuthu
Chang, Jo-Shu
Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion
title Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion
title_full Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion
title_fullStr Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion
title_full_unstemmed Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion
title_short Kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion
title_sort kinetics and thermodynamics dataset of iron oxide reduction using torrefied microalgae for chemical looping combustion
topic Energy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033322/
https://www.ncbi.nlm.nih.gov/pubmed/32149166
http://dx.doi.org/10.1016/j.dib.2020.105261
work_keys_str_mv AT ubandoaristotlet kineticsandthermodynamicsdatasetofironoxidereductionusingtorrefiedmicroalgaeforchemicalloopingcombustion
AT chenweihsin kineticsandthermodynamicsdatasetofironoxidereductionusingtorrefiedmicroalgaeforchemicalloopingcombustion
AT ashokkumarveeramuthu kineticsandthermodynamicsdatasetofironoxidereductionusingtorrefiedmicroalgaeforchemicalloopingcombustion
AT changjoshu kineticsandthermodynamicsdatasetofironoxidereductionusingtorrefiedmicroalgaeforchemicalloopingcombustion