Construction method and application of real-time monitoring and early-warning model for anaerobic reactor leakage
Construction method and application of real-time monitoring and early-warning model for anaerobic reactor leakage
复制标题
厌氧反应器泄漏实时监测预警模型构建方法及应用
DOI：
10.1002/prs.12144
复制
发表时间：
2020
影响因子：
1
通讯作者：
Wang Yipeng
中科院分区：
文献类型：
--
作者：
Wang Feng;Deng Fujie;Wang Yipeng
厌氧反应器是沼气工程中最关键的反应装置之一，其中通常含有大量的可燃气体甲烷。一旦发生泄漏，极易引发火灾、爆炸事故，对周围的建筑物、设备、人员等造成威胁。避免甲烷泄漏造成的重大事故已成为厌氧反应器设计和状态监测的关键问题。提出了一种泄漏预警模型的构建方法。利用事故数据库和危险与可操作性分析（HAZOP）识别泄漏风险，利用计算流体动力学（CFD）模拟和后果量计算确定后果影响范围。计算结果可用于建立异常情况的预测模型。过程安全管理（PSM）数据和风险分析结果可以与可能的异常情况相结合，以帮助操作员采取正确的解决方案。已经开发了一个预警系统来说明该模型的工业应用。根据实际生产过程的真实的时间变化采集多参数值，对泄漏风险进行持续监测和预警等，将有助于反应堆运行中的事故避免和应急响应。
The anaerobic reactor is one of the most critical reaction devices for biogas engineering, wherein is usually a large amount of flammable gas methane. Fire and explosion accidents will be easily triggered if the gas leaks, threatening the surrounding buildings, equipment, personnel, and so forth. Avoiding the significant accidents caused by CH4leakage has become a critical issue in the design and condition monitoring for an anaerobic reactor. This article presents a model construction method for leakage early‐warning. Incident database and hazard and operability analysis (HAZOP) can be utilized to identify the leakage risks, and computational fluid dynamics (CFD) simulation and consequence quantity calculation can be used to determine the consequence influence ranges. The calculation results can be employed to establish prediction models for abnormal situations. Process safety management (PSM) data and risk analysis results can be combined with the possible abnormal situations to assist operators in adopting the right solutions. An early‐warning system has been developed to illustrate the industrial application of the model. It can be concluded that collecting multi‐parameter values according to the real‐time changes in the actual production process, continuous monitoring and early‐warning of leakage risk, and so forth, will contribute to accident avoiding and emergency response in reactor operations.