Genistat_Heliohack

Identifies the most suitable roofs which can produce the highest amounts of solar energy, rank them in priority categories, and provides additional data, like how much they can produce and their ROI.

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Inspiration

We were inspired by how creating a ranking that can help Germany transition towards clean energies faster and more efficiently.

What it does

It calculates the amount of solar energy that can be produced in a specific building.

How we built it

Using Geospatial analysis of Digital surface model and OSM building data.

Challenges we ran into

Computing power, it took many hours to process the data sets, our laptops were not strong enough as well as we struggled with the storage we had available to host all the data. We decided to focus only on Saxony otherwise it would not have been possible to process it on time.

Accomplishments that we're proud of

We were proud of finally making it work! It was very stressful until the last minute when we managed to make it work.

What we learned how to

What's next for Genistat_Heliohack

We would like to deepen the research and development, search for mentors and obtain feedback from potential partners about the viability of the project. We would for sure love to take part in the opportunities that the Munich ecosystem offers to AI projects, such as student initiatives like TUM.AI, opportunities as in AI+MUNICH, and apply to incubator programs in UnternehmerTUM.

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