TU Delft AI Satellite
D. Canosa Ybarra (TU Delft - Aerospace Engineering)
K.I. Janisch (TU Delft - Aerospace Engineering)
N. Kalis (TU Delft - Aerospace Engineering)
D. Lentschig (TU Delft - Aerospace Engineering)
A. Lopez Rivera (TU Delft - Aerospace Engineering)
M. Manieri (TU Delft - Aerospace Engineering)
T.L. van der Wal (TU Delft - Aerospace Engineering)
Joris Melkert – Mentor (TU Delft - Flight Performance and Propulsion)
A. Menicucci – Mentor (TU Delft - Space Systems Egineering)
G. Gonzalez Saiz – Mentor (TU Delft - Aerodynamics)
O. Yuksel – Mentor (TU Delft - Group Çaglar)
Lorenza Mottinelli – Mentor (TU Delft - Aerospace Engineering)
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Abstract
Solutions for reducing greenhouse gas emissions are paramount under the current environmental circumstances. With methane and carbon dioxide being the most critical emission gasses, SigmaSat set out to find a way to reduce these emissions and simultaneously fulfill its scientific mission. While executing the scientific mission of designing a small satellite mission to demonstrate the latest advances in artificial intelligence, SigmaSat managed to devise a design that allows players in the energy production industry (such as refineries) to drastically reduce their methane and CO2 emissions.