DATA3: Drone Design using AI forTransport Applications 3

This 6-month feasibility study, a collaboration between Greenjets Ltd and BrunelUniversity London, investigates whether a scalable AI-driven design toolset canrapidly and accurately design customised commercial drones powered byGreenjets' superior sustainable electric jet engines. Customised commercial drones offer optimised performance for various use casesacross diverse industries, extending drone applicability, and reducing energyconsumption and emissions compared to other vehicles. An early-revenue UK SME, Greenjets has pioneered sustainable electric jetengines for commercial drones that are safer, quieter and more efficient thancompetitors. But maximising their potential calls for a holistic drone designapproach, where all three main drone elements (propulsion, airframe and energysource) are considered in tandem. Such an approach is too costly and time-consuming via traditional (i.e. human) design processes, and does not guaranteeoptimal designs. This is why this project will investigate the feasibility of developing a scalable AI-accelerated design and customisation process that accurately and rapidly deliversunique fit-for-purpose sustainable commercial drone designs. Successful post-project development of this process will deliver significant designoptimisation and customisation benefits, time-saving and cost-savingopportunities, and generate cutting-edge sustainable fit-for-purpose drone designsthat help commercial drones reach their full potential---predicted to deliver£45billion to the UK economy, save businesses £22billion, generate 650,000+ jobsand cut 2.4million tons of carbon emissions by 2030.

People

	Name	Telephone	Email	Office
	Dr Alvin Gatto Senior Lecturer/UG Course Director (Principal investigator) T: +44 (0)1895 267434 E: alvin.gatto@brunel.ac.uk	+44 (0)1895 267434	alvin.gatto@brunel.ac.uk	Howell Building 130