Inspiration

Midwestern State University needed to decrease its carbon emissions by 40% by 2035. Its research labs were using around 40% of the total energy, and costs were increasing. We needed a solution to decrease energy waste and significantly decrease carbon emissions.

What it does

Our solution takes in energy consumption data, focusing on labs, finds hotspots, and recommends ways to decrease energy waste. It recommends things like AI HVAC systems and CO2 sensors in the short term, then will recommend heat reuse pipelines, solar installations, and thermal energy storage once simpler solutions are implemented. It provides a dashboard for decision makers to reference so they can choose the best next step.

How we built it

We built our dashboard using html, and our data is processed through JavaScript.

Challenges we ran into

Figuring out which steps have the biggest impact and determining what we could cut out without sacrificing too much benefit.

Accomplishments that we're proud of

We are proud of our interactive, user-friendly and decision-informing dashboard. We are also proud of how we made a switch part-way through to evaluate how realistic the plan was and made adjustments.

What we learned

Trying to optimize everything can overcomplicate the system and be too costly for real-life situations. Focusing on using data to identify the biggest problem areas allow for making the best use of time and money while still moving in the right direction.

What's next for GreenGrid

Embed more resources into the website and find most cost-effective products at a given time to increase savings. Expand to other universities as they can determine which changes would have the biggest effects, even if working with a small budget.

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