Journals / Journal of Aviation / 2026 / Volume: 9 Issue: 2

The Effect of Meteorological Data on Energy Efficiency and Flight Performance in Sustainable Aviation

Fatih Koçyiğit(DİCLE ÜNİVERSİTESİ)0000-0001-6383-3163
Pages
—
Publication Date
2025-06-28
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It also investigated the role of aviation meteorology in predicting weather conditions and improving flight safety, and the interface between energy management and sustainable aviation.

📌 3 Key Takeaways

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Objective & Hypothesis:The aviation industry is closely associated with the effects of weather conditions on flight safety, but energy efficiency and sustainability issues have also gained importance in recent years.
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Key Findings & Data:The best predicted output parameter, which varies depending on the ambient temperature input, is the core efficiency with 0.9 MAPE.
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Conclusion & Impact:It also investigated the role of aviation meteorology in predicting weather conditions and improving flight safety, and the interface between energy management and sustainable aviation.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Aviation meteorology · Flight performance · Turboshaft engines

Abstract

The aviation industry is closely associated with the effects of weather conditions on flight safety, but energy efficiency and sustainability issues have also gained importance in recent years. Meteorological data plays a critical role in determining flight routes, increasing fuel efficiency and ensuring flight safety. More efficient flight routes can be planned by considering the impact of meteorological events on the energy consumption of aircraft, in particular factors such as wind, temperature changes, humidity and turbulence during flight. This reduces fuel consumption and minimizes environmental impact. Particular attention should be paid to the use of renewable energy, the energy efficiency of aircraft and the impact of weather conditions on energy production. In addition, the integration of meteorological data with energy efficiency in future aircraft systems should be assessed. In this study, net thrust, fuel consumption, fuel flow and core efficiency factors of a turboshaft engine were predicted by artificial neural networks based on meteorological data such as ambient temperature. The best predicted output parameter, which varies depending on the ambient temperature input, is the core efficiency with 0.9 MAPE. It also investigated the role of aviation meteorology in predicting weather conditions and improving flight safety, and the interface between energy management and sustainable aviation.

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Cite This Article

Koçyiğit, F. (2025). The Effect of Meteorological Data on Energy Efficiency and Flight Performance in Sustainable Aviation. Journal of Aviation, Volume: 9 Issue: 2. https://doi.org/10.30518/jav.1656416

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