Optimization of quality of charcoal for steelmaking using statistical analysis approach
Steel is one of the most important materials used in modern society. The majority of the steel produced today is based on the use of coke and contributes a lot to greenhouse gases emission. Many researchers have been laid on the possibility to replace part of the fossil-based energy source in iron making with renewable, biomass-derived reducing agent. The main problems of this replacement are some difference of in quality between coke and wood charcoal (more reactive, less strength and carbon content) It causes a little shutdown of production in blast furnace and additional cost to modify a furnace. The aim of this paper was to determine in a statistical manner how carbonizations parameters impact the charcoal quality, especially reactivity and mechanical parameter. We applied a random factorial design and used the General linear System procedure to perform the statistical analysis. The experimental study was carried out using Eucalyptus Urophylla and Eucalyptus Camadulensis wood and involved two carbonization temperature (350 and 600°C), two relative working pressure (2 and 6 bars) and two heating rates (1 and 5°C/min). Six response variables were analyzed and discussed following a random factorial design: the charcoal yield 61, j char), the fixed carbon content (C1), the bulk density (D), the compressive strength (Rm), friability (F) and the reactivity (R) of charcoal. Except for the friability of charcoal, all other property are well correlate with carbonization parameter. In the range of low carbonisation parameter, reactivity of charcoal is affected only by carbonization temperature.
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dig-cirad-fr-5749832024-11-13T17:09:06Z http://agritrop.cirad.fr/574983/ http://agritrop.cirad.fr/574983/ Optimization of quality of charcoal for steelmaking using statistical analysis approach. Noumi Eric Serges, Blin Joël, Rousset Patrick. 2014. In : WasteEng 2014: 5th International Conference on Engineering for Waste and Biomass Valorisation, Rio de Janeiro, Brazil, August 25-28, 2014. WasteEng, WTERT Brasil, UNIFEI, Ecole des Mines Albi-Carmaux. s.l. : s.n., 14 p. International Conference on Engineering for Waste and Biomass Valorisation. 5, Rio de Janeiro, Brésil, 25 Août 2014/28 Août 2014. Optimization of quality of charcoal for steelmaking using statistical analysis approach Noumi, Eric Serges Blin, Joël Rousset, Patrick eng 2014 s.n. WasteEng 2014: 5th International Conference on Engineering for Waste and Biomass Valorisation, Rio de Janeiro, Brazil, August 25-28, 2014 K50 - Technologie des produits forestiers P06 - Sources d'énergie renouvelable 000 - Autres thèmes Steel is one of the most important materials used in modern society. The majority of the steel produced today is based on the use of coke and contributes a lot to greenhouse gases emission. Many researchers have been laid on the possibility to replace part of the fossil-based energy source in iron making with renewable, biomass-derived reducing agent. The main problems of this replacement are some difference of in quality between coke and wood charcoal (more reactive, less strength and carbon content) It causes a little shutdown of production in blast furnace and additional cost to modify a furnace. The aim of this paper was to determine in a statistical manner how carbonizations parameters impact the charcoal quality, especially reactivity and mechanical parameter. We applied a random factorial design and used the General linear System procedure to perform the statistical analysis. The experimental study was carried out using Eucalyptus Urophylla and Eucalyptus Camadulensis wood and involved two carbonization temperature (350 and 600°C), two relative working pressure (2 and 6 bars) and two heating rates (1 and 5°C/min). Six response variables were analyzed and discussed following a random factorial design: the charcoal yield 61, j char), the fixed carbon content (C1), the bulk density (D), the compressive strength (Rm), friability (F) and the reactivity (R) of charcoal. Except for the friability of charcoal, all other property are well correlate with carbonization parameter. In the range of low carbonisation parameter, reactivity of charcoal is affected only by carbonization temperature. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/574983/1/document_574983.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html |
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K50 - Technologie des produits forestiers P06 - Sources d'énergie renouvelable 000 - Autres thèmes K50 - Technologie des produits forestiers P06 - Sources d'énergie renouvelable 000 - Autres thèmes |
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K50 - Technologie des produits forestiers P06 - Sources d'énergie renouvelable 000 - Autres thèmes K50 - Technologie des produits forestiers P06 - Sources d'énergie renouvelable 000 - Autres thèmes Noumi, Eric Serges Blin, Joël Rousset, Patrick Optimization of quality of charcoal for steelmaking using statistical analysis approach |
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Steel is one of the most important materials used in modern society. The majority of the steel produced today is based on the use of coke and contributes a lot to greenhouse gases emission. Many researchers have been laid on the possibility to replace part of the fossil-based energy source in iron making with renewable, biomass-derived reducing agent. The main problems of this replacement are some difference of in quality between coke and wood charcoal (more reactive, less strength and carbon content) It causes a little shutdown of production in blast furnace and additional cost to modify a furnace. The aim of this paper was to determine in a statistical manner how carbonizations parameters impact the charcoal quality, especially reactivity and mechanical parameter. We applied a random factorial design and used the General linear System procedure to perform the statistical analysis. The experimental study was carried out using Eucalyptus Urophylla and Eucalyptus Camadulensis wood and involved two carbonization temperature (350 and 600°C), two relative working pressure (2 and 6 bars) and two heating rates (1 and 5°C/min). Six response variables were analyzed and discussed following a random factorial design: the charcoal yield 61, j char), the fixed carbon content (C1), the bulk density (D), the compressive strength (Rm), friability (F) and the reactivity (R) of charcoal. Except for the friability of charcoal, all other property are well correlate with carbonization parameter. In the range of low carbonisation parameter, reactivity of charcoal is affected only by carbonization temperature. |
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K50 - Technologie des produits forestiers P06 - Sources d'énergie renouvelable 000 - Autres thèmes |
author |
Noumi, Eric Serges Blin, Joël Rousset, Patrick |
author_facet |
Noumi, Eric Serges Blin, Joël Rousset, Patrick |
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Noumi, Eric Serges |
title |
Optimization of quality of charcoal for steelmaking using statistical analysis approach |
title_short |
Optimization of quality of charcoal for steelmaking using statistical analysis approach |
title_full |
Optimization of quality of charcoal for steelmaking using statistical analysis approach |
title_fullStr |
Optimization of quality of charcoal for steelmaking using statistical analysis approach |
title_full_unstemmed |
Optimization of quality of charcoal for steelmaking using statistical analysis approach |
title_sort |
optimization of quality of charcoal for steelmaking using statistical analysis approach |
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http://agritrop.cirad.fr/574983/ http://agritrop.cirad.fr/574983/1/document_574983.pdf |
work_keys_str_mv |
AT noumiericserges optimizationofqualityofcharcoalforsteelmakingusingstatisticalanalysisapproach AT blinjoel optimizationofqualityofcharcoalforsteelmakingusingstatisticalanalysisapproach AT roussetpatrick optimizationofqualityofcharcoalforsteelmakingusingstatisticalanalysisapproach |
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