In a thesis project conducted at the Faculty of Aerospace Engineering in Delft, a framework for designing, optimizing, and assessing hydrogen fuel cell supply architectures for reducing aviation emissions was developed. The project aimed to address the need for sustainable solutions in the aviation industry by exploring the use of hydrogen as a main energy source for aircraft. Three different architectures were analyzed in the study: one utilizing gaseous hydrogen extraction with self-pressurization, and two using liquid hydrogen extraction with either self-pressurization or pumps. Key system components were identified, and analytical models for their sizing and fluid flow were collected. These models were then implemented in Python and integrated into an optimization loop to evaluate the defined architectures. The main focus of the analyses was on optimizing system mass and net power recovery to determine the most suitable architecture for a given mission. Post-optimization analyses included identifying the most impactful parameters for optimization and conducting a preliminary mission analysis to assess operational impacts. The project was supervised by Dr. F. Oliviero, highlighting the academic rigor and expertise involved in this innovative research endeavor.