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Open AccessArticle

Statistical Modelling of Temperature and Moisture Uptake of Biochars Exposed to Selected Relative Humidity of Air

Faculty of Mining and Environmental Engineering—Femma, Federal University of South and Southwest of Pará, Marabá 68507-590, PA, Brazil
Joint Graduate School of Energy and Environment, Center of Excellence on Energy Technology and Environment-KMUTT, Bangkok 10140, Thailand
CIRAD, UPR BioWooEB, F-34398 Montpellier, France
Department of Mechanical Engineering, University of Brasilia—UnB, Campus Universitário Darcy Ribeiro, S/N, Asa Norte, Brasília 70910-900, DF, Brazil
FerroPem, R & D Department, F-73025 Chambéry, France
Faculty of Mechanical Engineering—Fem, Federal University of Pará, Belém 66075-900, PA, Brazil
Author to whom correspondence should be addressed.
Bioengineering 2018, 5(1), 13;
Received: 8 November 2017 / Revised: 8 February 2018 / Accepted: 8 February 2018 / Published: 9 February 2018
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. View Full-Text
Keywords: biochars; moisture uptake; statistical modelling biochars; moisture uptake; statistical modelling
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MDPI and ACS Style

Bastistella, L.; Rousset, P.; Aviz, A.; Caldeira-Pires, A.; Humbert, G.; Nogueira, M. Statistical Modelling of Temperature and Moisture Uptake of Biochars Exposed to Selected Relative Humidity of Air. Bioengineering 2018, 5, 13.

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