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Polygence Scholar2024
Sean Addy's profile

Sean Addy

Class of 2027Leonia, New Jersey

About

Hello! My name is Sean and my Polygence program involves how engineering and computer science can be used to combat climate change. I chose to work in this area because I'm interested in this topic and it built off of my previous projects. I would like to share my proposal with others and maybe participate in a science fair.

Projects

  • "Removing CO2 From the Atmosphere via Filters to Prevent the Effects Climate Change" with mentor Natalie (June 8, 2024)

Sean's Symposium Presentation

Project Portfolio

Removing CO2 From the Atmosphere via Filters to Prevent the Effects Climate Change

Started Jan. 5, 2024

Abstract or project description

Climate change describes the variation in temperature and weather patterns on Earth. Greenhouse gases, which are gases that trap heat in the atmosphere, impact the rise in temperature on Earth and directly contribute to climate change. Many powerful greenhouse gasses are affecting our planet. However, if we take action, we can prevent further effects of climate change and possibly reverse the unhealthy state of our atmosphere. In this project, I aim to study detecting and filtering CO2 in the atmosphere to prevent the further effects of climate change. Currently, filters are the most popular form of technology used to reduce greenhouse gases such as CO2. The reason that CO2 filters are used the most is because CO2 is one of the gases that contributes to trapping the most heat in the atmosphere. Filters are one of the most promising ways of combating climate change on the global warming aspect, as of now. Unfortunately, there are downsides to these filters. CO2 filters cost a lot of money to construct and are very costly to maintain. I aim to research the pros and cons of current filter technology and will identify weaknesses in the current design. I plan to create a cost-effective, resource-efficient design for a CO2 filter. I believe that we can help combat climate change by designing more efficient filters.