Purpose

Reducing aircraft fuel consumption has become a paramount research area, focusing on optimizing operational parameters like speed and altitude during the cruise phase. However, the existing methods for fuel reduction often rely on complex experimental calculations and data extraction from embedded systems, making practical implementation challenging. To address this, this study aims to devise a simple and accessible approach using available information.

Design/methodology/approach

In this paper, a novel analytic method to estimate and optimize fuel consumption for aircraft equipped with jet engines is proposed, with a particular emphasis on speed and altitude parameters. The dynamic variations in weight caused by fuel consumption during flight are also accounted for. The derived fuel consumption equation was rigorously validated by applying it to the Boeing 737–700 and comparing the results against the fuel consumption reference tables provided in the Boeing manual. Remarkably, the equation yielded closely aligned outcomes across various altitudes studied. In the second part of this paper, a pioneering approach is introduced by leveraging the particle swarm optimization algorithm (PSO). This novel application of PSO allows us to explore the equation’s potential in finding the optimal altitude and speed for an actual flight from Algiers to Brussels.

Findings

The results demonstrate that using the main findings of this study, including the innovative equation and the application of PSO, significantly simplifies and expedites the process of determining the ideal parameters, showcasing the practical applicability of the approach.

Research limitations/implications

The suggested methodology stands out for its simplicity and practicality, particularly when compared to alternative approaches, owing to the ready availability of data for utilization. Nevertheless, its applicability is limited in scenarios where zero wind effects are a prevailing factor.

Originality/value

The research opens up new possibilities for fuel-efficient aviation, with a particular focus on the development of a unique fuel consumption equation and the pioneering use of the PSO algorithm for optimizing flight parameters. This study’s accessible approach can pave the way for more environmentally conscious and economical flight operations.

中文翻译：

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喷气式飞机的燃油消耗估算：数学模型开发

目的

降低飞机燃油消耗已成为一个重要的研究领域，重点是优化巡航阶段的速度和高度等运行参数。然而，现有的燃油减少方法通常依赖于复杂的实验计算和嵌入式系统的数据提取，这使得实际实施具有挑战性。为了解决这个问题，本研究旨在利用现有信息设计一种简单且易于理解的方法。

设计/方法论/途径

本文提出了一种新的分析方法来估计和优化配备喷气发动机的飞机的燃油消耗，特别强调速度和高度参数。飞行期间由燃油消耗引起的重量动态变化也被考虑在内。通过将得出的燃油消耗方程应用于波音 737-700 并将结果与​​波音手册中提供的燃油消耗参考表进行比较，得到了严格验证。值得注意的是，该方程在所研究的不同海拔高度上产生了紧密一致的结果。在本文的第二部分中，介绍了一种利用粒子群优化算法（PSO）的开创性方法。 PSO 的这种新颖应用使我们能够探索方程在寻找从阿尔及尔到布鲁塞尔的实际飞行的最佳高度和速度方面的潜力。

发现

结果表明，利用本研究的主要发现，包括创新方程和 PSO 的应用，显着简化和加快了确定理想参数的过程，展示了该方法的实际适用性。

研究局限性/影响

所建议的方法因其简单性和实用性而脱颖而出，特别是与其他方法相比，因为可以随时获得可供利用的数据。然而，它的适用性在零风效应是主要因素的情况下受到限制。

原创性/价值

该研究为节能航空开辟了新的可能性，特别关注开发独特的燃油消耗方程以及开创性地使用 PSO 算法来优化飞行参数。这项研究的易懂方法可以为更加环保和经济的飞行运营铺平道路。