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基于CRN方法的重型燃气轮机燃烧室排放研究 被引量:4

Study on Emission of Heavy Duty Gas Turbine Combustor Based on CRN Approach
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摘要 污染物排放快速预测及控制是重型燃气轮机燃烧室技术发展的重要问题。对燃用天然气的重型燃气轮机典型燃烧室结构进行三维燃烧流动数值模拟,根据模拟结果构建燃烧室特定的化学反应器网络(chemical reactor networks,CRN)模型,采用甲烷-空气的53种组分、325步详细反应机理,对不同负荷工况时燃烧室的NO_x排放进行仿真研究。所得结果表明:CRN方法的分析结果与测量值吻合较好,可为燃气轮机干式低NO_x(dry low NO_x, DLN)燃烧室的NO_x排放提供有效的快速预测手段。此外,还阐明了燃烧室头部值班级与主燃级的燃料分配及燃烧室进口空气温度对NO_x的排放量有明显影响,在燃烧室满负荷运行时,值班级燃料占总燃料量的比值为7%时,NO_x排放量最小;NO_x排放量随着燃烧室进口空气温度的升高而显著增大。 Fast forecasting and control of pollutant emission is an important issue for technical development of the heavy duty gas turbine combustor. This paper makes 3D combustion flow numerical simulation for the typical structure of the heavy duty gas turbine combustor and constructs specific chemical reactor network (CRN) model for the combustor according to simulated results. By employing a detailed reaction mechanism including 53 components and 325 steps of methane(CH 4)/air, it makes simulating research on NO x emission in the combustor under different load conditions. The results indicate that the analysis result of CRN approach is in good agreement with measurement result, which means the CRN approach can provide effective fast forecasting means for NO x emission in the dry low NO x (DLN) combustor. In addition, the paper also states the ratios of pilot fuel and primary combustion fuel of and inlet air temperature of the combustor have obvious effects on NO x emission. Under full load operation, when the ratio of pilot fuel is 7%, NO x emission is the least. With rise of inlet air temperature of the combustor, NO x emission will increase significantly.
作者 刘石 蔡笋 邓小文 尹洪 高庆水 LIU Shi;CAI Sun;DENG Xiaowen;YIN Hong;GAO Qingshui(Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou,Guangdong 510080,China)
出处 《广东电力》 2019年第3期37-44,共8页 Guangdong Electric Power
基金 中国南方电网有限责任公司科技项目(K-GD2013-0492) 中国博士后科学基金资助项目(2015M570696)
关键词 低排放 三维反应流 化学反应器网络模型 燃烧室 反应机理 low emission 3D reaction flow chemical reaction network model combustor reaction mechanism
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