Author Archives: gestioningaeroespacial

E-CONTRAIL at the European Researchers’ Night 2024

In the framework of the fifteenth edition of the European Researchers’ Night, the Universidad Carlos III de Madrid, as part of its program of science outreach activities, once again offered a theater and science activity aimed at secondary school students and the general public. But this year, the focus was on artificial intelligence. AI, aircraftContinue reading “E-CONTRAIL at the European Researchers’ Night 2024”

Satellite-Based Quantification of Contrail Radiative Forcing over Europe: A Two-Week Analysis of Aviation-Induced Climate Effects

The latest conference paper of the Aircraft Operations Lab was led by Irene Ortiz within the framework of the E-CONTRAIL project and submitted to the SESAR Innovation Days 2024. The study delves into the climate impacts of aviation-induced contrails, with a focus on their contribution to radiative forcing (RF). This research utilized data from theContinue reading “Satellite-Based Quantification of Contrail Radiative Forcing over Europe: A Two-Week Analysis of Aviation-Induced Climate Effects”

Feasibility studies on regional aircraft retrofitted with hybrid-electric powertrains

Our latest research paper has been a joint work between the Aircraft Operations Lab and the Aeroelastic and Structural Design Lab of Universidad Carlos III de Madrid, and written by Raúl Quibén as main author. The study explores the feasibility of hybrid-electric powertrains in regional aviation, highlighting challenges with battery tech and system complexity. RaulContinue reading “Feasibility studies on regional aircraft retrofitted with hybrid-electric powertrains”

Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations

The article discusses the growing impact of artificial intelligence (AI), focusing on one application: weather reconstruction. AI, particularly neural networks, is used to improve the accuracy and availability of weather data, which has broad implications, such as reducing airport delays and related costs. Traditional weather stations only provide data from limited locations, so AI helpsContinue reading “Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations”