Centre for Aviation Transport and the Environment, Faculty of Science and Engineering, Manchester Metropolitan University , Manchester M1 5GD, U.K.
Center of Excellence for Aerospace Particulate Emissions Reduction Research, Missouri University of Science and Technology , Rolla, Missouri 65409, United States.
Environ Sci Technol. 2017 Jan 17;51(2):988-996. doi: 10.1021/acs.est.6b03766. Epub 2017 Jan 5.
This study evaluates the relationship between the emissions parameters of smoke number (SN) and mass concentration of nonvolatile particulate matter (nvPM) in the exhaust of a gas turbine engine for a conventional Jet A-1 and a number of alternative fuel blends. The data demonstrate the significant impact of fuel composition on the emissions and highlight the magnitude of the fuel-induced uncertainty for both SN within the Emissions Data Bank as well as nvPM mass within the new regulatory standard under development. Notwithstanding these substantial differences, the data show that correlation between SN and nvPM mass concentration still adheres to the first order approximation (FOA3), and this agreement is maintained over a wide range of fuel compositions. Hence, the data support the supposition that the FOA3 is applicable to engines burning both conventional and alternative fuel blends without adaptation or modification. The chemical composition of the fuel is shown to impact mass and number concentration as well as geometric mean diameter of the emitted nvPM; however, the data do not support assertions that the emissions of black carbon with small mean diameter will result in significant deviations from FOA3.
本研究评估了燃气涡轮发动机排放物中烟炱（SN）排放参数与不可挥发颗粒物质量浓度（nvPM）之间的关系，研究对象为传统 Jet A-1 燃料和多种替代燃料混合物。数据表明燃料成分对排放物有显著影响，并突出了燃料诱导不确定性在排放数据银行中的 SN 以及正在制定的新法规标准中的 nvPM 质量两个方面的巨大影响。尽管存在这些显著差异，但数据表明 SN 与 nvPM 质量浓度之间的相关性仍然符合一阶近似（FOA3），并且这种一致性在广泛的燃料组成范围内得以保持。因此，数据支持这样的假设，即 FOA3 适用于燃烧传统和替代燃料混合物的发动机，无需适应或修改。燃料的化学成分显示会影响排放的 nvPM 的质量和数量浓度以及几何平均直径；然而，数据并不支持这样的说法，即小平均直径的黑碳排放物将导致显著偏离 FOA3。
