Influence and modelling of wood washing on mineral and organic compositions of three woods (beech, fir and oak). Issue 1 (February 2020)

• Record Type: Journal Article
• Authors: Schmidt, Guillaume; Trouvé, Gwenaëlle; Leyssens, Gontrand; Schönnenbeck, Cornelius; Brillard, Alain; Olya, Mohammad Ebrahim; Dewaele, Dorothée; Cazier, Fabrice
• Is Part Of: Journal of the Energy Institute. Volume 93:Issue 1(2020)
• Page Start: 198
• Page End: 209
• Publication Date: 2020-02
• Subjects: Wood washing -- Conductivity -- Minerals extraction -- Kinetic modelling; Power (Mechanics) -- Periodicals; Power resources -- Periodicals; Fuel -- Periodicals; 621.04205
• DOI: 10.1016/j.joei.2019.03.008
• Languages: English
• ISSNs: 1743-9671

Abstract

Abstract: Nowadays, biomass increasingly replaces fossil fuels for domestic heating production. But this leads to gaseous and particulate pollutant emissions. Wood washing is a process which can be applied to reduce such emissions. In the present study, the impact of this process on the extraction of mineral and organic compounds from wood sawdust from three different species (beech, fir and oak) was analyzed, as well as the influence on the wood thermal reactivity. Wood washing leads to a decrease in several ionic elements such as potassium and sodium, which can be largely removed from biomass. Globally, mineral extracts range between 17 and 40% of the initial mass depending of the particle size (ships or sawdust) and of the specie (beech, fir and oak). Moreover, 2% of wood extractives can also be removed from wood. The impacts of wood granulometry, wood drying and washing temperature have been studied to understand the different extraction processes. Wood demineralization has been modelled through pseudo first- and second-order models to derive kinetic parameters of ionic exchanges between water and wood. The pseudo first-order model gives poor results. The second-order model show rapid exchanges with half time reactions approximately equal to 23, 24 and 40 min for beech, fir and oak samples, respectively, washed during a week. Highlights: Experimental study and modelling of ionic exchanges between three woods and deionized water. The influences of particle size, drying and temperature are analyzed. 17 to 40% of initial mass depending on particle size (ships or sawdust) and the wood (beech, fir and oak) are removed. Most soluble elements were found to be potassium, sodium, magnesium, phosphorus and sulfur. The pseudo second-order model shows rapid exchanges with half-time reactions ranging between 20 and 40 min.