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 量子力学 数据库 化学工程 复合材料 操作系统
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
浮游应助朴素的SCI缔造者采纳,获得10
1秒前
1秒前
溟夔蝶魅完成签到,获得积分20
1秒前
科研小白完成签到,获得积分10
1秒前
2秒前
柴子完成签到,获得积分10
3秒前
心木完成签到 ,获得积分10
3秒前
4秒前
共享精神应助serendipity采纳,获得10
4秒前
John完成签到 ,获得积分10
6秒前
TANG完成签到,获得积分10
6秒前
13223456发布了新的文献求助10
6秒前
kdf发布了新的文献求助10
7秒前
量子星尘发布了新的文献求助10
8秒前
852应助科研通管家采纳,获得10
8秒前
星辰大海应助科研通管家采纳,获得10
8秒前
科研通AI2S应助科研通管家采纳,获得10
8秒前
科研通AI6应助科研通管家采纳,获得10
8秒前
科研通AI5应助科研通管家采纳,获得50
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
丘比特应助科研通管家采纳,获得10
9秒前
浮游应助科研通管家采纳,获得10
9秒前
完美世界应助科研通管家采纳,获得10
9秒前
GPTea应助科研通管家采纳,获得150
9秒前
bkagyin应助科研通管家采纳,获得10
9秒前
加菲丰丰应助科研通管家采纳,获得30
9秒前
科研通AI6应助科研通管家采纳,获得10
9秒前
Orange应助科研通管家采纳,获得10
9秒前
乐乐应助科研通管家采纳,获得10
9秒前
丘比特应助科研通管家采纳,获得10
9秒前
9秒前
sxkoala应助科研通管家采纳,获得30
9秒前
加菲丰丰应助科研通管家采纳,获得30
9秒前
文艺紫菜应助科研通管家采纳,获得10
9秒前
深情安青应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
我的miemie应助科研通管家采纳,获得20
9秒前
liwanyi0808完成签到,获得积分10
11秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
Handbook of Social and Emotional Learning 800
Risankizumab Versus Ustekinumab For Patients with Moderate to Severe Crohn's Disease: Results from the Phase 3B SEQUENCE Study 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5133576
求助须知:如何正确求助?哪些是违规求助? 4334702
关于积分的说明 13504381
捐赠科研通 4171698
什么是DOI,文献DOI怎么找? 2287273
邀请新用户注册赠送积分活动 1288197
关于科研通互助平台的介绍 1229045