Hazardous gas detection systems play an important role in preventing catastrophic gas-related accidents in process industries. Even though effective detection technology currently exists for hazardous gas releases and...Hazardous gas detection systems play an important role in preventing catastrophic gas-related accidents in process industries. Even though effective detection technology currently exists for hazardous gas releases and a majority of process installations have a large number of sensitive detectors in place, the actual operating performance of gas detection systems still does not meet the expected requirements. In this paper, a riskbased methodology is proposed to optimize the placement of hazardous gas detectors. The methodology includes three main steps, namely, the establishment of representative leak scenarios, computational fluid dynamics(CFD)-based gas dispersion modeling, and the establishment of an optimized solution. Based on the combination of gas leak probability and joint distribution probability of wind velocity and wind direction, a quantitative filtering approach is presented to select representative leak scenarios from all potential scenarios. The commercial code ANSYS-FLUENT is used to estimate the consequence of hazardous gas dispersions under various leak and environmental conditions. A stochastic mixed-integer linear programming formulation with the objective of minimizing the total leak risk across all representative leak scenarios is proposed, and the greedy dropping heuristic algorithm(GDHA) is used to solve the optimization model. Finally, a practical application of the methodology is performed to validate its effectiveness for the optimal design of a gas detector system in a high-sulfur natural gas purification plant in Chongqing, China. The results show that an appropriate number of gas detectors with optimal cost-effectiveness can be obtained, and the total leak risk across all potential scenarios can be substantially reduced. This methodology provides an effective approach to guide the optimal placement of pointtype gas detection systems involved with either single or mixed gas releases.展开更多
针对石化企业气体泄漏检测问题,对常见气体甲烷、乙烯、环氧乙烷进行红外成像检测技术试验研究,完成非制冷型泄漏检测关键模组选型测试,对比分析国产非制冷红外成像技术与进口制冷红外成像技术在不同检测距离、气体流量、镜头焦距、检...针对石化企业气体泄漏检测问题,对常见气体甲烷、乙烯、环氧乙烷进行红外成像检测技术试验研究,完成非制冷型泄漏检测关键模组选型测试,对比分析国产非制冷红外成像技术与进口制冷红外成像技术在不同检测距离、气体流量、镜头焦距、检测模式下的性能。试验结果表明,非制冷型气体红外成像检测技术可实现150 m距离,小于0.5 m 2的气体泄漏目标检测,适合作为企业气体泄漏长周期监测技术手段,并提出使用建议。展开更多
基金Supported by the National Natural Science Foundation of China(51474184)the Natural Science Foundation of the State Administration of Work Safety in China(2012-387,Sichuan-0021-2016AQ)
文摘Hazardous gas detection systems play an important role in preventing catastrophic gas-related accidents in process industries. Even though effective detection technology currently exists for hazardous gas releases and a majority of process installations have a large number of sensitive detectors in place, the actual operating performance of gas detection systems still does not meet the expected requirements. In this paper, a riskbased methodology is proposed to optimize the placement of hazardous gas detectors. The methodology includes three main steps, namely, the establishment of representative leak scenarios, computational fluid dynamics(CFD)-based gas dispersion modeling, and the establishment of an optimized solution. Based on the combination of gas leak probability and joint distribution probability of wind velocity and wind direction, a quantitative filtering approach is presented to select representative leak scenarios from all potential scenarios. The commercial code ANSYS-FLUENT is used to estimate the consequence of hazardous gas dispersions under various leak and environmental conditions. A stochastic mixed-integer linear programming formulation with the objective of minimizing the total leak risk across all representative leak scenarios is proposed, and the greedy dropping heuristic algorithm(GDHA) is used to solve the optimization model. Finally, a practical application of the methodology is performed to validate its effectiveness for the optimal design of a gas detector system in a high-sulfur natural gas purification plant in Chongqing, China. The results show that an appropriate number of gas detectors with optimal cost-effectiveness can be obtained, and the total leak risk across all potential scenarios can be substantially reduced. This methodology provides an effective approach to guide the optimal placement of pointtype gas detection systems involved with either single or mixed gas releases.
文摘针对石化企业气体泄漏检测问题,对常见气体甲烷、乙烯、环氧乙烷进行红外成像检测技术试验研究,完成非制冷型泄漏检测关键模组选型测试,对比分析国产非制冷红外成像技术与进口制冷红外成像技术在不同检测距离、气体流量、镜头焦距、检测模式下的性能。试验结果表明,非制冷型气体红外成像检测技术可实现150 m距离,小于0.5 m 2的气体泄漏目标检测,适合作为企业气体泄漏长周期监测技术手段,并提出使用建议。
