Modelling of pyrolysis of large wood particles

Modeling biomass particle pyrolysis with temperature-dependent heat of reactions

“…mere validation of heat transfer or mass transport parameters is not sufficient. This has been taken into consideration in only a few studies [4,13,15,18,44]. The second idea is to find what value can be obtained for h B−g and h B−C (assuming h B−g = h B−C ) at various experimental conditions when Eq.…”

“…The primary pyrolysis products participate in secondary reactions to produce also volatile, gases and char of different compositions (reaction 3). The kinetic mechanism of Koufopanos et al [15] has been applied, for instance, by Babu and Chaurasia [16] and Sadhukhan [17,18] to model pyrolysis of biomass particles. In the recent comprehensive review studies by Di Blasi [19,20], the chemical kinetics of wood and biomass pyrolysis are critically discussed.…”

Microwave pyrolysis of corn stalk bale: A promising method for direct utilization of large-sized biomass and syngas production

“…This was because in this experiment, the most important factor of heat transfer rate was the thermal conductivity, which would become small during the pyrolysis processes of corn stalk transformed into char. Consequently, the heat resistance between layers of stalk bale increased, which had been validated by a large number of studies [26,27]. Fig.…”

Multiscale molecular modeling can be an effective tool to aid the development of biomass conversion technology: A perspective

“…Isolated experimental investigation into pyrolysis reactions and kinetics is extremely difficult due to several factors, such as, fast reactions, short residence times, high temperatures and transport limitations. Additionally, due to lack of knowledge of the reaction chemistry, studies investigating transport effects assumed few pseudo and lumped reactions (with fitted kinetic parameters) for pyrolysis (Blasi, 1996;Di Blasi, 1996;Hagge and Bryden, 2002;Chaurasia, 2004a, 2004b;Chaurasia and Kulkarni, 2007;Zabaniotou and Damartzis, 2007;Sadhukhan et al, 2008;Sreekanth and Leckner, 2008;Sadhukhan et al, 2009;Dufour et al, 2011;Haseli et al, 2011aHaseli et al, , 2011bHaseli et al, , 2012aHaseli et al, , 2012bPeters, 2011;Anca-Couce and Zobel, 2012;Blondeau and Jeanmart, 2012;Lin et al, 2012;Okekunle et al, 2012;Sharma et al, 2014). The prediction capability of such models remains very limited.…”