抽水蓄能电站地下厂房火灾人员疏散模拟及试验研究OA
Simulation and Experimental Study on Personnel Evacuation during Fire Incidents in Underground Powerhouses of Pumped-storage Power Stations
抽水蓄能电站地下厂房结构复杂、空间密闭,火灾时人员疏散面临严峻挑战.为提升抽水蓄能电站地下厂房安全应急水平,本文以安徽某大型抽水蓄能电站为研究对象,综合运用数值模拟与现场试验方法,对火灾高风险工况下的人员疏散展开研究.应用 Pathfinder 软件,以人员密集的检修工况为最不利场景建立疏散模型,模拟结果表明,主厂房与主变洞人员全部疏散分别需要约 251 s 和 165 s.进而设计并开展涵盖正常运行与检修工况、区分人员培训水平的多情景现场试验,实测数据验证了模拟结果的可靠性,并精准识别出桥机轨道、蜗壳层、污水处理室等疏散瓶颈区域.研究通过对比试验量化了应急培训的效果,发现针对性培训可使整体安全疏散时间缩短约 10%,关键岗位疏散效率提升最高达 35%.基于此,提出了针对高风险岗位的路径优化、智能疏散引导系统升级及精准化培训演练等系列策略.
Underground powerhouses in pumped-storage power stations feature complex structures and confined spaces,posing severe challenges for personnel evacuation during fire incidents.To enhance emergency safety levels,this study investigates personnel evacuation under high-risk fire scenarios at a large pumped-storage power station in Anhui Province,China.It employs a comprehensive approach combining numerical simulation and field testing.Using Pathfinder software,an evacuation model is established for the worst-case scenario of personnel-dense maintenance operations.Simulation results indicate that full evacuation of the main plant and main transformer cavern requires approximately 251 seconds and 165 seconds,respectively.Subsequently,multi-scenario field tests are designed and conducted,covering both normal operation and maintenance conditions while differentiating personnel training levels.The measured data validate the reliability of the simulation results,and precisely identify the bottleneck areas for evacuation,such as the bridge crane tracks,the spiral casing layer and the sewage treatment room.By comparing the test results,the study quantifies the effectiveness of emergency training,finding that targeted training could reduce the overall safe evacuation time by approximately 10%and improve evacuation efficiency at critical positions by up to 35%.Based on these findings,the study proposes a series of strategies including path optimization for high-risk positions,intelligent evacuation guidance system upgrading and precision training exercises.
戴陈梦子;许志杰;郭琪;丁蜀枫;李政
中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014||中南大学,湖南 长沙 410083中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014
建筑与水利
抽水蓄能电站火灾疏散试验数值模拟需要安全疏散时间
pumped-storage power stationfire incidentevacuation testnumerical simulationRequired Safe Egress Time(RSET)
《水力发电》 2026 (7)
76-85,93,11
评论