Optimization of Direct Air Capture in Environments of Steady Flow
Direct air capture (DAC) is the removal of carbon dioxide (CO2) directly from the atmosphere. While DAC is essential to achieving net zero carbon emissions and preventing irreversible damage from climate change, DAC plants require extensive energy input to draw in air. Dr. Klaus Lackner at the Center for Negative Carbon Emissions at Arizona State University has developed a prototype of a MechanicalTreeTM that utilizes passive air flow to reduce required energy. Before these machines can be deployed, we need to determine the optimal configurations to place them based on local wind patterns. We want distributions that minimize surface area yet maximize the fraction of air molecules filtered. I will develop a model in MATLAB that utilizes multi-physics simulations paired with genetic algorithms (GA) to optimize the placement of DAC machines. With this model, we can make DAC feasible for implementation on a global scale to reverse the trend of rising CO2 levels in the atmosphere.
Message to Sponsor
- Major: Environmental Engineering Science
- Sponsor: Rose Hills Foundation
- Mentor: Tarek Zohdi