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Modelling of microbial fuel degradation in liquid fuels for a gas turbine engine application

机译:燃气涡轮发动机应用中液体燃料中微生物燃料降解的建模

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摘要

Microorganisms are important in fuel deterioration and consequently in engine performance. To assess the impact of fuel deterioration on gas turbines, a bio-mathematical model, Bio-fAEG, was developed to simulate microbial fuel degradation and estimate hydrocarbon loss. Simulation of four conventional diesel fuels and a biodiesel fuel estimated hydrocarbon loss between 0.37 mg/L per day (diesel-type fuel) and 1.48 mg/L per day (biodiesel-type fuel), with nearly complete degradation of the bioavailable fraction of the fuels within 20-60 days. Assuming biodegradation of these fuels is not impeded and conditions for growth remained constant, the Bio-fAEG model predicted that significant degradation begins in four months for a less degradable fuel and two months for a more degradable fuel. Analysis carried out with this model provides insight into cumulative biodegradation of engine fuels and the importance of microbial characteristics, initial microbial population and residence time. The integration of this model in engine performance and emission tools could provide further information on the effect of fuel degradation on engine systems. This is a first step in quantifiable assessment of microbial fuel degradation towards predictive condition monitoring in gas turbine fuels and fuel systems. (C) 2016 Elsevier Ltd. All rights reserved.
机译:微生物对燃料劣化以及发动机性能至关重要。为了评估燃料劣化对燃气轮机的影响,开发了一种生物数学模型Bio-fAEG,以模拟微生物燃料的降解并估算碳氢化合物的损失。对四种常规柴油燃料和生物柴油燃料的模拟估计,碳氢化合物的损失介于每天0.37 mg / L(柴油型燃料)至1.48 mg / L /天(生物柴油型燃料)之间,并且几乎完全降解了在20至60天内加油。假设这些燃料的生物降解不受阻碍并且生长条件保持不变,则Bio-fAEG模型预测,对于降解程度较低的燃料,四个月内开始明显降解;对于降解程度较高的燃料,两个月内开始明显降解。使用此模型进行的分析可深入了解发动机燃料的累积生物降解以及微生物特性,初始微生物种群和停留时间的重要性。该模型在发动机性能和排放工具中的集成可以提供有关燃料降解对发动机系统的影响的更多信息。这是对燃气轮机燃料和燃料系统中的预测性状况进行监测的微生物燃料降解的定量评估的第一步。 (C)2016 Elsevier Ltd.保留所有权利。

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