电磁感应加热二氧化碳甲烷化催化反应器模型
Modeling catalytic carbon dioxide methanation reactor heated by electromagnetic induction
王付泳 1陈健豪 2李照 2杨光星 3周凌云 1余皓2
作者信息
- 1. 贵州民族大学化学工程学院,贵州 贵阳 550025
- 2. 华南理工大学化学与化工学院,广东 广州 510641
- 3. 广州大学化学化工学院,广东 广州 510006
- 折叠
摘要
电磁感应加热技术作为一种新型非接触式供能技术,可用于化学反应器的加热.该技术有望实现化学品生产工艺从化石能源驱动向电能驱动转型,有效降低化学工业的碳排放.本文对电磁感应加热的二氧化碳加氢甲烷化反应器进行了模型研究,建立了电磁感应加热方式下的COMSOL Multiphysics模型,设计了y=An、y=Bn2、y=Cn3、y=Den、y=E五种缠绕方式,探究了线圈缠绕方式和工艺条件对反应器温度、浓度分布和能耗的影响.研究结果显示,电磁感应加热线圈可在入口段和反应段采取不同的缠绕方式:在入口段,线圈宜紧密缠绕以实现快速升温;而在反应段,线圈应稀疏缠绕以避免反应器出现"热点".线圈的缠绕方式是优化电磁感应加热反应器性能的关键,有助于避免反应器出现"热点"和失稳,降低反应器的能耗.
Abstract
The electromagnetic induction heating technology,as a new non-contact energy supply technology,can be used for heating reactors.This technology is expected to convert chemical production from fossil fuel-driven to electric energy-driven,effectively reducing carbon emissions.In this work,a modeling study on the electromagnetic induction heating of a carbon dioxide methanation reactor was conducted.A COMSOL Multiphysics model was established for the application of electromagnetic induction heating,and five coil winding modes,y=An,y=Bn2,y=Cn3,y=Den and y=E were designed.The effects of coil winding method and process conditions on reactor temperature,concentration distribution,and energy consumption were investigated.The research results showed that the heating coil could adopt different winding methods in the inlet and reaction sections.In the inlet section,the coil should be wound tightly to achieve rapid heating,while in the reaction section,the coil should be wound sparsely to avoid the appearance of"hot spots"in the reactor.The winding method of the coil was critical for optimizing the performance of the electromagnetic induction heating reactor by avoiding the"hot spots"and instability in the reactor and reducing its energy consumption.
关键词
二氧化碳甲烷化/电磁感应加热/数值模拟/反应器/模型/反应工程Key words
carbon dioxide methanation/electromagnetic induction heating/numerical simulation/reactors/model/reaction engineering引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据