Equivalent Reactor Network Model for the Modeling of Fluid Catalytic Cracking Riser Reactor

计算 计算流体力学 推流式反应器模型 催化裂化 流量(数学) 塞流 过程(计算) 混合(物理) 计算机科学 网络模型 模拟 机械 连续搅拌釜式反应器 开裂 工程类 材料科学 算法 物理 操作系统 数据库 复合材料 量子力学 化学工程
作者
Yupeng Du,Hui Zhao,An Ma,Chaohe Yang
出处
期刊:Industrial & Engineering Chemistry Research [American Chemical Society]
卷期号:54 (35): 8732-8742 被引量:20
标识
DOI:10.1021/acs.iecr.5b02109
摘要

Modeling description of riser reactors is a highly interesting issue in design and development of fluid catalytic cracking (FCC) processes. However, one of the challenging problems in the modeling of FCC riser reactors is that sophisticated flow-reaction models with high accuracy require time-consuming computation, while simple flow-reaction models with fast computation result in low-accuracy predictions. This dilemma requires new types of coupled flow-reaction models, which should own time-efficient computation and acceptable model accuracy. In this investigation, an Equivalent Reactor Network (ERN) model was developed for a pilot FCC riser reactor. The construction procedure of the ERN model contains two main steps: hydrodynamic simulations under reactive condition and determination of the equivalent reactor network structure. Numerical results demonstrate that with the ERN model the predicted averaged error of the product yields at the riser outlet is 4.69% and the computation time is ∼5 s. Contrast to the ERN model, the predicted error with the plug-flow model is almost three times larger (12.79%), and the computational time of the CFD model is 0.1 million times longer (6.7 days). The superiority of the novel ERN model can be ascribed to its reasonably simplifying transport process and avoiding calculation divergences in most CFD models, as well as taking the back-mixing behavior in the riser into consideration where the plug-flow model does not do so. In summary, the findings indicate the capabilities of the ERN model in modeling description of FCC riser reactors and the possibilities of the model being applied to studies on the dynamic simulation, optimization, and control of FCC units in the future.
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