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Gas Turbine nvPM Formation and Oxidation Semi-Empirical Model for Commercial Aviation

机译:燃气轮机NVPM形成和氧化半实证模型用于商业航空

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Several semi-empirical relations have been developed to estimate nonvolatile particulate matter (nvPM) mass emissions from rich-quench-lean (RQL) style combustors employed predominantly in the current aviation fleet. The accuracy of such methodology has been hindered by inaccurate combustor conditions. Additionally, current relations are not optimized for direct cruise nvPM emission predictions and do not account for fuels, in particular alternative jet fuels with reduced aromatic contents. An improved semi-empirical kinetic based predictive relation has been developed for these purposes. Accurate engine conditions are based on proprietary engine cycle data for a common RQL style combustor. Nonvolatile particulate matter formation rates dependent on equivalence ratio, thrust, and fuel components are developed to accurately predict emissions across thrust settings and fuels. The new model captures both ground and cruise altitude emissions. Predicted values are validated against field campaign data collected over a decade from NASA Langley's Aerosol Research Group with inclusion of cruise data.
机译:一些半经验关系已经发展到从富淬火贫当前航空机队主要采用(RQL)风格的燃烧估计非挥发性颗粒物(nvPM)质量排放量。这种方法的准确性已经不准确的燃烧条件的阻碍。此外,当前的关系不为直接巡航nvPM发射预测优化,不考虑燃料,在具有减少的芳族含量特定备选喷气燃料。改进的半经验动力学基于预测的关系已发展为这些目的。精确的发动机条件都是基于一个共同的RQL风格燃烧室的专有引擎周期数据。依赖于当量比,推力和燃料组件的非易失性的颗粒物质形成率的开发,以准确地预测跨越的推力和燃料的排放量。新的模型捕获地面和巡航高度排放。预测值验证针对收集了十多年,从NASA兰利的气溶胶研究集团列入巡航数据的场运动数据。

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