Sustainable Space: Optimizing Mega-Constellation Launches
The Project: This project optimized the "sweet spot" trade-off between launch costs and environmental sustainability for satellite constellation deployment.
Key Takeaways:
The optimization model found that switching from traditional kerosene-based propellants to liquid methane/oxygen could reduce carbon-based emissions by up to 25% per launch
Through genetic algorithms, the project identified a "knee" in the curve where a 15% increase in launch cost could yield a 40% reduction in high-altitude NOx emissions
An analysis of 11 different heat shield materials (from carbon fiber CMCs to titanium multiwall) found lighter materials like LI-900 offer better cost-per-kg efficiency for low-orbit deployments
Technical Toolkit:
Optimization: Genetic algorithms, design of experiments, and Pareto front analyses
Modular modeling: Multi-disciplinary system architecture (propulsion, aerostructures, and emissions modules)
Teammates: Asha Jain, Maranda Cherry, Justin Poh