Inspiration
The ongoing energy crisis makes schools, universities and other public institutions reduce heating to a minimum. In certain countries there even exist maximum temperature thresholds around 15-19°C or they even switch to home office. From our point of view, this would not be necessary if the heating would be dynamically adapted based on the actual usage.
What it does
Our system fetches reservation schedules (e.g., from EPFL buildings) and suggests time-frames where heating could be switched-off. It consists of a whole simulation framework with the option of modifying parameters, e.g., parameterised heating curves.
How we built it
We decided for object based python-only code. So we discussed all ideas to be implemented, came up with a schedule and distributed the tasks.
Challenges we ran into
Room schedules at campuses often do not have a unified solution and are therefore not straight-forward to fetch.
Accomplishments that we're proud of
First of all, although we didn't know each other in advance, it worked out very well together. Regarding the project content, one of the biggest achievement was the heating curve parameterisation and its implementation in our self-built framework.
What we learned
Team work makes the dream work, how to fetch data from website
What's next for HeatSchedule
Practical implementation to directly control heating
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