Pichler Mario, Haddadi Bahram, Jordan Christian, Norouzi Hamidreza, Harasek Michael
Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Getreidemarkt 9/166, Vienna 1060, Austria.
Center of Engineering and Multiscale Modeling of Fluid Flow (CEMF), Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnique), PO Box: 15875-4413, Hafez 424, Tehran, Iran.
Data Brief. 2021 Nov 23;39:107603. doi: 10.1016/j.dib.2021.107603. eCollection 2021 Dec.
Slow pyrolysis of biomass is commonly performed in rotary kilns. The effect of the particle residence time distribution on biomass conversion is often neglected when numerically modeling such systems. But this effect might be significant under certain conditions. The data presented here are results of numerical simulation of the biomass pyrolysis in rotary kilns under numerous operating conditions and levels of axial dispersion of biomass particles. The varied operating conditions are the kiln diameter ( -1 m), the ratio of particle to kiln diameter ( - ), the ratio of kiln length to kiln diameter ( -10), the kiln's inclination angle ( -8 ), the Froude number ( - ), the rotational Reynolds number ( - ), and the Péclet number ( -100). Data of 13,851 single case simulations are provided with this article. This includes the mean particle residence time, gas, bed and kiln wall temperatures, solid and gaseous species mass flows, heat fluxes, and the solid bed height over the kiln length. These comprehensive data have the potential to help in modeling, design, analysis, and optimization of rotary kilns used for the pyrolysis of biomass. The main characterization and interpretation is presented in the related main research paper by Pichler et al. (2021)[1].
生物质的慢速热解通常在回转窑中进行。在对这类系统进行数值模拟时，颗粒停留时间分布对生物质转化的影响常常被忽略。但在某些条件下，这种影响可能很显著。此处给出的数据是回转窑中生物质热解在众多运行条件及生物质颗粒轴向分散水平下的数值模拟结果。变化的运行条件包括窑直径（-1米）、颗粒与窑直径之比（- ）、窑长度与窑直径之比（-10）、窑的倾斜角度（-8 ）、弗劳德数（- ）、旋转雷诺数（- ）以及佩克莱数（-100）。本文提供了13851个单案例模拟的数据。这包括颗粒平均停留时间、气体、床层和窑壁温度、固体和气体物种质量流、热通量以及窑长度上的固体床层高度。这些全面的数据有助于对用于生物质热解的回转窑进行建模、设计、分析和优化。主要的特征描述和解释在Pichler等人（2021年）[1]的相关主要研究论文中给出。
