Inspiration

To decarbonize our economy, we need to deploy thousands of Gigawatts of clean energy capacity across the United States. However, energy project developers face significant hurdles in the United States. Often, construction is the easiest (and shortest) portion of project development. Regulations, NIMBYism, and legal challenges often hold up projects that could help our country meet our clean energy goals. By connecting with local talent, developers gain context for energy projects that will help them deploy faster and cheaper.

What it does

Transformer.energy connects prospective energy project developers with the talent that enabled similar projects to be built out. Project developers will be able to learn from previous projects and be connected with the local construction crews, electricians, engineers, and lawyers to successfully deploy their projects.

To join the network, project developers will need to submit an ESG questionnaire for their projects, along with identifying information about where the project will be located. That will populate the map, situating their project amongst similar developments. Developers will then be able to explore similar projects and connect with the talent that enabled them to deploy their energy projects.

How we built it

We built transformer.energy using bolt.new, an AI-powered website builder. We geocoded the energy projects we were given in the dataset using the Google Maps Geocoding API, in order to populate the map in our platform.

Challenges we ran into

This was a short hackathon timeline—we prioritized front-end experience and highlighting key features.

Accomplishments that we're proud of

We're thrilled that we have a working prototype of our platform, and that we were able to geocode the survey response data to populate the map with ESG project scoring. We have an expert network of power project professionals.

What we learned

The local context for energy projects is essential to understand.

What's next for Transformer Energy

Scrape municipal data to continue to populate our energy project dataset, developing an ESG metric based on indicators we can scrape and merging with data from EIA US Energy Atlas.

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