首页> 外文会议>ASME Turbo Expo >CATALYTIC DETECTION OF FUEL LEAKS IN GAS TURBINE UNITS: 2. Gas Fuels containing hydrogen, carbon monoxide and inert
【24h】

CATALYTIC DETECTION OF FUEL LEAKS IN GAS TURBINE UNITS: 2. Gas Fuels containing hydrogen, carbon monoxide and inert

机译:燃气轮机单元中燃料泄漏的催化检测:2。含有氢气,一氧化碳和惰性的气体燃料

获取原文

摘要

The detection of explosive gas and vapors is a critical safety function in Gas Turbines (GT) units. On one hand, this subject is being revisited by the GT community and safety organizations with a main focus on conventional gas fired power units. On the other hand one sees currently an increasing use of alternative primary energies for GT units including both gaseous and liquid fuels such as LPG, naphtha, syngas and a wide series of low and medium BTU gas fuels. This has prompted GE Energy to undertake a comprehensive evaluation of commercial catalytic detectors that are of common use in the detection of gas leaks. In particular, the multiple announcements of coal-based project (IGCC) represented a strong motivation to launch this program that ambitioned to cover both hydrocarbon and non-hydrocarbon fuels, i.e. the largest CnHm/CO/ H_2/ N_2(CO_2) spectrum. This evaluation program has been jointly devised with and performed by the laboratory of INERIS, a French Institute devoted to safety and environment. Particular emphasis has been placed on the capability to detect combustible species at levels as low as 5% LEL (Lower Explosion Limit) that result from recent safety codes. The overall program has been break down into two parts. The response of catalytic detectors to hydrocarbon gas leaks (natural gases and naphtha vapors) has been addressed in 2004 and the corresponding results have been already published (ASME paper 2005GT68875). This first work phase has shown a satisfactory response of selected catalytic bead sensors towards the hydrocarbon paraffin series up to C8. The second phase (2005) tackled the detection of CH_4/CO/ H_2/N_2(CO_2) mixtures. In the authors' knowledge, there was a lack of data in the current literature as to the performances of catalytic detection for this specific class of fuels. A wide range of mixtures was tested to cover the extensive spectrum of medium and low BTU gas fuels, including: "weak natural gas", coal derived process gas (coke oven, blast furnace gas; COREX gas; etc.) and syngas. CO2 and N2 were used as inert components in concentrations from 20 to 80 % vol. This paper summarizes the results of this second evaluation phase. A satisfactory response to the different CH_4/CO/ H_2/N_2(CO_2) mixtures has been obtained in terms of sensitivity, accuracy and detection limits which satisfies the requirements of current codes and standards. The overall program confirms the possibility to use catalytic bead sensors as a single detection technology for covering virtually all the gas turbine applications. This includes, apart from natural gas: LPG, light distillates (naphtha; gas condensates and NGL), "weak" natural gas, Medium & Low BTU fuels (Coke Oven; Blast Furnace), hydrogen-rich fuels (refinery) and the syngas segments with however the notable exclusion of middle distillates (gasoil, kerosene).
机译:爆炸性气体和蒸汽的检测是燃气轮机(GT)单元中的关键安全功能。一方面,GT社区和安全组织正在重新审视该主题,主要关注传统的燃气电源单元。另一方面,人们目前越来越多地利用GT单元的替代初级能量,包括气态和液体燃料,例如LPG,石脑油,合成气和宽系列的低和中等BTU气体燃料。这促使GE Energy对商业催化探测器进行了综合评价,这些催化探测器在检测到煤气泄漏中是常用的。特别是,基于煤基项目(IGCC)的多个通告代表了启动该计划的强烈动机,该计划旨在掩盖碳氢化合物和非碳氢化合物燃料,即最大的CNHM / CO / H_2 / N_2(CO_2)谱。该评估计划已通过致力于安全和环境的法国研究所的Ineris实验室联合设计。特别强调较近期安全码导致的低至5%LEL(较低爆炸极限)的水平的可燃物种。整体计划已分为两部分。 2004年已经解决了催化探测器对烃源泄漏(天然气和石脑油蒸气)的响应,并且已经发表了相应的结果(ASME纸2005GT68875)。该第一工作阶段显示出令人满意的催化珠传感器朝向烃链烷烃串的令人满意的响应至C8。第二阶段(2005)解决了CH_4 / CO / H_2 / N_2(CO_2)混合物的检测。在作者的知识中,目前文献中缺乏数据,以及对该特定燃料的催化检测的性能。测试各种混合物以覆盖广泛的培养基和低BTU气体燃料,包括:“天然气弱天然气”,煤衍生的工艺气体(焦炉,高炉煤气; COREX GAL;等)和合成气。 CO 2和N 2用作浓度为20-80%Vol的惰性组分。本文总结了该第二评价阶段的结果。对不同CH_4 / CO / H_2 / N_2(CO_2)混合物的令人满意的响应已经在满足当前代码和标准要求的灵敏度,精度和检测限度方面获得。整体计划证实,使用催化珠传感器作为单一检测技术,可以使用几乎所有燃气轮机应用的单一检测技术。除了天然气:LPG,Light馏分(石脑油;气凝块和Ngl),“弱”天然气,中低BTU燃料(焦炉;高炉),富含氢燃料(炼油厂)和合成气然而,具有显着排除的中间馏分(煤油,煤油)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号