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

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