A2.2 - Environmental noise prediction for large long-term air traffic scenarios

Motivation & project description

Air-traffic is expected to increase in the upcoming years. Hence, engineers are challenged to seek for innovative and sustainable strategies that can mitigate the environmental burden brought by the air transport system in future scenarios. Besides CO₂ and NO_X emissions, noise is the most relevant environmental impact, affecting especially communities living near airport areas.

As a result, the development and introduction of new low-noise aircraft concepts into civil aviation is playing an increasingly important role during aircraft conceptual design. In this context, the development of prediction tools that are capable of providing a reliable prognosis of the environmental noise emissions of novel aircraft technologies is highly desirable. 

With a specific focus on the assessment of new aircraft technologies while considering multiple flight events in realistic scenarios, this project is based on a state-of-the-art simulation chain (see Figure). A multi-fidelity approach is employed that couples three different software in order to model noise sources of individual components, incorporate these into the architecture of a whole aircraft and translate into ground noise. The ground noise is then assessed in a large-scale, realistic scenarios using relevant assessment measures.