The Mission

The mission of the project is to calculate how long in the course of a year sunlight is going into one's room, considering the program is provided with user's position and the view from the window (which is needed to calculate whether any houses, hills or other objects are blocking the sun at any moment). Such data is often very important to real estate businesses and people looking into purchasing a new home. I have successfully calculated this for a selected scenario, and also figured out new mathematical methods for such calculation of yearly suntime. However, the project is far from being done, as I need to automatise it into a software program, and need to establish a firm basis for an entrepreneurial project.

The Challenge

When finding a new place to live, people often want their new living space to have access to sunlight all year around, so they don't end up having to live in a dark space. Nevertheless, this information is often not provided by the seller, and information on exactly how sunlight is coming through the window is often even more left out. This often leads to subjective eyballing of how "sunny" rooms in the living space are, which can be misleading and highly innacurate.

The solution

By knowing the position of the user, we can know exactly how the sun "moves" accross the sky every day of the year. By further marking critical points in the terrain visible from each window, it is possible to figure out how much degrees of elevation each of the point has. Therefore, we can allign the skyline against the "path" of the sun for any day of the year, effectively showing how often sun is shining into any given room. I was even thinking to use AI tomap coordinates of critical points, thus making the entire process more automatic and user-friendly.