Statistical modelling of temperature and moisture uptake of biochars exposed to selected relative humidity of air

Bastistella Luciane, Rousset Patrick, Aviz Antônio, Caldeira-Pires Armando, Humbert Gilles, Nogueira Manoel F.M.. 2018. Statistical modelling of temperature and moisture uptake of biochars exposed to selected relative humidity of air. Bioengineering, 5 (1):13, 15 p.

Journal article ; Article de recherche ; Article de revue à comité de lecture Revue en libre accès total
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bioengineering-05-00013_2018_Biochar water sorption.pdf

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Abstract : New experimental techniques, as well as modern variants on known methods, have recently been employed to investigate the fundamental reactions underlying the oxidation of biochar. The purpose of this paper was to experimentally and statistically study how the relative humidity of air, mass, and particle size of four biochars influenced the adsorption of water and the increase in temperature. A random factorial design was employed using the intuitive statistical software Xlstat. A simple linear regression model and an analysis of variance with a pairwise comparison were performed. The experimental study was carried out on the wood of Quercus pubescens, Cyclobalanopsis glauca, Trigonostemon huangmosun, and Bambusa vulgaris, and involved five relative humidity conditions (22, 43, 75, 84, and 90%), two mass samples (0.1 and 1 g), and two particle sizes (powder and piece). Two response variables including water adsorption and temperature increase were analyzed and discussed. The temperature did not increase linearly with the adsorption of water. Temperature was modeled by nine explanatory variables, while water adsorption was modeled by eight. Five variables, including factors and their interactions, were found to be common to the two models. Sample mass and relative humidity influenced the two qualitative variables, while particle size and biochar type only influenced the temperature. (Résumé d'auteur)

Mots-clés Agrovoc : Quercus pubescens, Bambusa vulgaris, Charbon de bois, Teneur en eau, Humidité, Bois, Dimension, Particule de bois, Oxydation, Absorption d'eau, Température, Bioénergie, Méthode statistique, Modèle mathématique

Mots-clés complémentaires : Cyclobalanopsis glauca, Trigonostremom huangmosum

Mots-clés libres : Biochars, Moisture uptake, Statistical modelling

Classification Agris : P06 - Renewable energy resources
K50 - Processing of forest products
U10 - Mathematical and statistical methods

Champ stratégique Cirad : Axe 2 (2014-2018) - Valorisation de la biomasse

Auteurs et affiliations

  • Bastistella Luciane, University of South and Southwest of Pará (BRA)
  • Rousset Patrick, CIRAD-PERSYST-UPR BioWooEB (THA) - auteur correspondant
  • Aviz Antônio, Universidade Federal de Pará (BRA)
  • Caldeira-Pires Armando, UNB [Universidade de Brasilia] (BRA)
  • Humbert Gilles, FerroPem (FRA)
  • Nogueira Manoel F.M., Universidade Federal de Pará (BRA)

Source : Cirad-Agritrop (

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