Predicting drone noise and aircraft emissions for RefMap
As a partner in the RefMap European-wide collaboration, the Aircraft Noise and Climate Effects (ANCE) section from TU Delft will develop models to help predict and optimise aircraft and drone trajectories to reduce the environmental and noise impact of future UAV operations in rural and urban communities.
ANCE is using its deep expertise in aircraft noise and pollution modelling to address these goals. The research section has been consistently generating high-impact research in several critical areas towards sustainable aviation. This research includes areas such as modelling and predicting the physics of noise generation in drones and aircraft based on real-world data, assessment of the psychoacoustic impact of aircraft noise, and development of measurement and modelling techniques to assess the atmospheric impacts of aviation. These findings are and will continue to be, crucial to inform the industry and policymakers towards mitigating aviation’s impact on societies. In the context of the RefMap project, ANCE will bring its expertise in noise predictive and air quality modelling to create the first digital platform to understand and reduce the environmental footprint of future aviation systems.
Two PhD researchers at ANCE, Luccas Kavabata and Camilo Ignacio Andino Cappagli are working on different aspects of the project; Luccas is developing numerical models aimed at improving the prediction of the atmospheric impacts of present and future aircraft emissions. Camilo is developing computational models to predict the dynamics of drone noise, combining the physics of the sound generation and propagation mechanisms, with real-world measurements, across different drone types. The goal will be to develop a tool to predict annoyance and optimise drone operations to reduce their impact on human populations and wildlife. To this end, Camilo, together with other researchers in ANCE, Anique Altena and Dr. Salil Luesutthiviboon, have been performing acoustic and optical measurements on the 29/6/2023 and 30/6/2023 at the Unmanned Valley in the Netherlands, where they measured flights performed by different drones at a range of conditions, to understand their noise output in broader, real flight operations.
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