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Development of HF Alkylation Unit Water Spray Mitigation Auto-Start Technology

机译:HF烷基化装置水雾缓减自动启动技术的发展

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A dispersion modeling and wind tunnel analysis was conducted to develop a system that would automatically initiate a water spray mitigation system for HF alkylation units at two oil refineries. Dispersion modeling was used to determine the importance of the response time of the mitigation system. Modeling was then used to define release scenarios that could result in a significant offsite consequence. This modeling defined an assumed rupture size or release rate that could result in significant offsite consequences for which the mitigation system should be automatically started. The next step was to locate HF detectors within the unit. The detectors needed to be capable of identifying a wide range of releases and needed to be placed to insure that no significant release could pass between them. The siting of the detectors was done using boundary layer wind tunnel modeling for each alkylation unit. The detector siting accounted for site specific, near field dispersion within the process unit. It was found that the presence of the process unit had a very profound effect on cloud dispersion near the point of release. The boundary layer wind tunnel data were also used to determine how many detectors would experience elevated concentrations for the release of concern. Using this information, a logic system was developed to detect and distinguish the presence of a significant release. This information was programmed into the process logic controller (PLC) on the unit to control the mitigation system. As part of the logic system, a wind persistence algorithm was developed to determine which portions of the water spray system should be activated. The development of this system has allowed for the water spray mitigation system to be used in an optimum manner with a minimum amount of intervention from the unit operators.
机译:进行了分散模型和风洞分析,以开发一个系统,该系统将自动启动两个炼油厂的HF烷基化装置的水雾缓解系统。分散模型用于确定缓解系统响应时间的重要性。然后使用建模来定义可能导致重大异地后果的发布方案。该模型定义了假定的破裂尺寸或释放速率,可能会导致严重的异地后果,因此应自动启动缓解系统。下一步是在设备中放置HF检测器。检测器需要能够识别各种释放物,并且需要放置以确保在它们之间不会通过任何明显的释放物。使用边界层风洞模型对每个烷基化单元进行检测器选址。检测器的位置说明了处理单元内特定于现场的近场色散。发现处理单元的存在对释放点附近的云扩散具有非常深远的影响。边界层风洞数据还用于确定有多少检测器会经历浓度升高以释放关注点。使用此信息,开发了一个逻辑系统来检测和区分重大释放的存在。此信息已编程到设备上的过程逻辑控制器(PLC)中,以控制缓解系统。作为逻辑系统的一部分,开发了一种风持久性算法,以确定应激活喷水系统的哪些部分。该系统的发展使水雾减轻系统能够以最佳方式使用,而机组操作员的干预却最少。

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