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On-line reset control of a commercial-scale opposed multi-burner coal-water slurry gasification system using dynamic reduced-order model
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2020-08-25 , DOI: 10.1016/j.compchemeng.2020.107074
Peng Qiu , Zhenghua Dai , Jianliang Xu , Qinghua Guo , Guangsuo Yu , Fuchen Wang

The entrained flows from four opposed burners enhance the mixing in a coal-water slurry (CWS) gasifier, which increases the extent of carbon conversion. Moreover, the operation of the opposed multi-burner (OMB) gasifier is more flexible because one couple of the opposed burners is allowed to be shut off for a certain period as long as the other couple is still running. Thus, the operation lifetime of the gasification system is determined by the ability to return the shut-off burners to operation, referred to as online reset control (ORC). However, the ORC is manual, which increases the operation uncertainty. In this study, we demonstrate an automatic control strategy using a dynamic reduced-order model (ROM). A reactor network model (RNM) of the gasifier, which considers several sub-models, is developed based on a flow field analysis and particle and gas residence time distributions (RTDs). The dynamic ROM and simulated manual ORC are verified using industrial data (5.8 MPa, 1500 metric tons per day (TPD)). An automatic control scheme for the ORC is proposed. The dynamic ROM is validated to be reliable when operating with the commercial-scale OMB CWS gasification system, as well as with its manual ORC process. The automatic ORC is promising for industrial gasification because the fluctuation ranges of the operation temperature and pressure of the gasifier are acceptable, which indicates that the reliable dynamic ROM can simulate a closed-loop control for a complex reactor.



中文翻译:

基于动态降阶模型的商业规模对置多燃烧器水煤浆气化系统在线复位控制

来自四个相对的燃烧器的气流带动了水煤浆(CWS)气化炉中的混合,从而增加了碳转化的程度。此外,对置多燃烧器(OMB)气化器的操作更加灵活,因为只要另一对燃烧器仍在运行,就可以将其关闭一定时间。因此,气化系统的使用寿命取决于将关闭的燃烧器恢复运行的能力,这称为在线重置控制(ORC)。但是,ORC是手动的,这增加了操作的不确定性。在这项研究中,我们演示了使用动态降序模型(ROM)的自动控制策略。气化炉的反应器网络模型(RNM),其中考虑了几个子模型,基于流场分析以及颗粒和气体停留时间分布(RTD)进行开发。使用工业数据(5.8 MPa,每天1500公吨/天(TPD))验证了动态ROM和模拟的手动ORC。提出了一种用于ORC的自动控制方案。经验证,动态ROM在与商业规模的OMB CWS气化系统及其手动ORC流程一起运行时,是可靠的。自动ORC对于工业气化是有希望的,因为气化炉的工作温度和压力的波动范围是可以接受的,这表明可靠的动态ROM可以模拟复杂反应器的闭环控制。提出了一种用于ORC的自动控制方案。经过验证,动态ROM在与商业规模的OMB CWS气化系统以及其手动ORC流程一起运行时均可靠。自动ORC对于工业气化是有希望的,因为气化炉的工作温度和压力的波动范围是可以接受的,这表明可靠的动态ROM可以模拟复杂反应器的闭环控制。提出了一种用于ORC的自动控制方案。经过验证,动态ROM在与商业规模的OMB CWS气化系统以及其手动ORC流程一起运行时均可靠。自动ORC对于工业气化是有希望的,因为气化炉的工作温度和压力的波动范围是可以接受的,这表明可靠的动态ROM可以模拟复杂反应器的闭环控制。

更新日期:2020-08-30
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