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An Economic and Risk Analysis Model for Aircrafts and Engines

机译:飞机和发动机的经济和风险分析模型

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摘要

To conceive and assess engines with minimum global warming impact and lowest cost of ownership in a variety of emission legislation scenarios, emissions taxation policies, fiscal and Air Traffic Management environments, a Techno-economic and Environmental Risk Assessment model is needed. This paper presents an approach to estimate the cost of maintenance and the direct operating costs of turbofan engines of equivalent thrust rating, both for long and short range applications, as well as for typical long and short range aircraft. The economic model is composed of three modules: a lifing module, an economic module and a risk module. The lifing module estimates the life of the high pressure turbine disk and blades through the analysis of creep and fatigue over a full working cycle of the engine. The economic module uses the time between overhauls together with the cost of labour and the cost of the engine (needed to determine the cost of spare parts) to estimate the cost of maintenance of the engine. The risk module uses the Monte Carlo method with a Gaussian distribution to study the impact of the variations in some parameters on the net present cost (NPC) of operation. The accuracy of the economic model in DOC estimation is good (within about 15%) and so can be adapted for use in the cost analysis of future types of engines, such as ultra high bypass ratio turbofans, with little modifications. The equations that constitute the economic model are under a confidentiality agreement of the European project VITAL and can not be divulgated.
机译:为了在各种排放法规方案,排放税政策,财政和空中交通管理环境中以最小的全球变暖影响和最低的拥有成本来构思和评估发动机,需要技术经济和环境风险评估模型。本文提出了一种方法,该方法可以估算长期和短期应用以及典型的长期和短期飞行器的等效推力额定值的涡扇发动机的维护成本和直接运行成本。经济模型由三个模块组成:生活模块,经济模块和风险模块。提升模块通过分析发动机整个工作循环中的蠕变和疲劳来估算高压涡轮盘和叶片的寿命。经济模块使用大修之间的时间以及人工成本和发动机成本(需要确定备件成本)来估计发动机的维护成本。风险模块使用具有高斯分布的蒙特卡罗方法来研究某些参数变化对运营净现值(NPC)的影响。经济模型在DOC估算中的准确性很好(约15%以内),因此只需做很少的修改即可用于未来类型的发动机(例如超高旁通比涡轮风扇)的成本分析中。构成经济模型的方程式受欧洲项目VITAL的保密协议约束,不能被透露。

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