@misc{WeberLiLovasetal., author = {Weber, Kathrin and Li, T. and L{\o}v{\aa}s, Terese and Perlman, Cathleen and Seidel, Lars and Mauß, Fabian}, title = {Stochastic reactor modeling of biomass pyrolysis and gasification}, series = {Journal of analytical and applied pyrolysis}, volume = {124}, journal = {Journal of analytical and applied pyrolysis}, issn = {0165-2370}, doi = {10.1016/j.jaap.2017.01.003}, pages = {592 -- 601}, abstract = {Abstract In this paper, a partially stirred stochastic reactor model is presented as an alternative for the modeling of biomass pyrolysis and gasification. Instead of solving transport equations in all spatial dimensions as in CFD simulations, the description of state variables and mixing processes is based on a probability density function, making this approach computationally efficient. The virtual stochastic particles, an ensemble of flow elements consisting of porous solid biomass particles and surrounding gas, mimic the turbulent exchange of heat and mass in practical systems without the computationally expensive resolution of spatial dimensions. Each stochastic particle includes solid phase, pore gas and bulk gas interaction. The reactor model is coupled with a chemical mechanism for both surface and gas phase reactions. A Monte Carlo algorithm with operator splitting …}, language = {en} }