Faculty Sponsor: Raghu Ramanujan
The rise of discontent over fossil fuels have grown interest in renewable energy resources. One of such resources in wind energy that is harnessed through horizontal wind turbines. These turbines are built In urban to take advantage of strong wind; however, new technology to harness energy from winds in cities are being sought. Engineers look for new ways to integrate wind turbines into urban design, and one of those ways is to populate vertical wind turbines around areas, where there is active vehicle movement. In our project, we used genetic programming, a method known in machine reason to find a feasible solution, to determine what wing designs could lead to maximum energy output. We represented each possible solution with expression trees, and search for a feasible solution over multiple generations. Our method shows how machine reasoning methods could be used in real-world applications.