Abstract The use of pure vegetable oils in Micro Gas Turbine can damage the injection system or the combustion chamber causing undesired vibrations. An ideal solution would consist in having an available tool able to forecast and/or follow in real time the vibrational state of the combustion device. The present paper describes tests performed on a low emission Micro Gas Turbine for power generation, fueled with different liquid fuels, including commercial diesel oil and its blends with pure rapeseed oil. A particular attention was paid both on the emissions and on the measurements of the micro vibrational distributions and their correlation under the different fueling conditions using a new signal processing based on a nonlinear method and chaos analysis. We observed that the overall behavior of the MGT fueled with the blends was good, and the emission concentrations of CO, NOx and Total Particle Matter were comparable to the pure diesel oil ones. Moreover, the chaos analysis and the proposed methodology came out as a possible tool for the real-time characterization of the combustion process of the MGT and to individuation of the fuel supplied.

中文翻译：

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使用燃烧振动检测生物燃料特性对微型燃气轮机排放和性能的影响

摘要 在微型燃气轮机中使用纯植物油会损坏喷射系统或燃烧室，从而引起不希望的振动。理想的解决方案在于拥有能够实时预测和/或跟踪燃烧装置的振动状态的可用工具。本文描述了对用于发电的低排放微型燃气轮机进行的测试，该涡轮机以不同的液体燃料为燃料，包括商业柴油及其与纯菜籽油的混合物。使用基于非线性方法和混沌分析的新信号处理，特别关注在不同燃料条件下的排放和微振动分布及其相关性的测量。我们观察到混合燃料的 MGT 的整体性能良好，CO、NOx 和总颗粒物的排放浓度与纯柴油相当。此外，混沌分析和建议的方法作为实时表征 MGT 燃烧过程和供应燃料的个性化的可能工具而出现。