Multiscale Coupling Framework for Modeling of Large-Size Biomass Particle Gasification in Fluidized Beds
Multiscale Coupling Framework for Modeling of Large-Size Biomass Particle Gasification in Fluidized Beds
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DOI：
10.1021/ie400420p
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发表时间：
2013-06
影响因子：
4.2
通讯作者：
G. Jin
中科院分区：
文献类型：
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作者：
G. Jin
本文致力于解决大尺寸生物质颗粒在流化床中气化的多尺度耦合模型，其中大尺寸颗粒中温度和浓度梯度引起的大扩散强烈影响气化过程。将单颗粒模型（SPM）直接引入到传统的流化床模型中会大大增加计算成本。在本文中，我们提出了一个松耦合的SPM和离散元方法（DEM）之间的框架-欧拉连续体模型。SPM是基于详细的反应机理，并已对实验结果进行了验证。耦合的合理性是基于SPM的观察结果，即温度是主要因素，周围气体速度是次要因素。为此，我们使用沙粒作为热载体，以保持周围温度统计稳定。然后模拟了山毛榉木材的气化过程。
This paper is devoted to addressing a multiscale coupling framework for modeling of large-size biomass particle gasification in fluidized beds, where the large diffusions due to the temperature and concentration gradients in large-size particles strongly affect gasification process. Directly incorporating a single particle model (SPM) into a conventional fluidized-bed model tremendously increases the computational cost. In this paper, we propose a loose coupling framework between the SPM and the discrete element method (DEM)–Eulerian continuum model. The SPM is based on detailed reaction mechanisms and has been validated against experimental results. The rationality of the coupling is based on the observations from the SPM that the temperature is the dominating factor and the surrounding gas velocity is a secondary one to the gasification. For this purpose, we use sand particles as thermal carrier to keep the surrounding temperature statistically stable. We then simulated the gasification of beech wood pa...