Noumi Eric Serges, Blin Joël, Rousset Patrick.
2014. Optimization of quality of charcoal for steelmaking using statistical analysis approach.
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
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Résumé : 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.
Mots-clés libres : Pyrolysis, Biomass, Charcoal, Pressure, Reactivity, Multivariate analysis
Classification Agris : K50 - Technologie des produits forestiers
P06 - Sources d'énergie renouvelable
000 - Autres thèmes
Auteurs et affiliations
- Noumi Eric Serges, 2IE (BFA)
- Blin Joël, CIRAD-PERSYST-UPR BioWooEB (BFA) ORCID: 0000-0001-6715-2453
- Rousset Patrick, CIRAD-PERSYST-UPR BioWooEB (THA) ORCID: 0000-0002-6956-7465
Source : Cirad - Agritrop (https://agritrop.cirad.fr/574983/)
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