Designing Renewable Energy with Communities in Mind

The Problem:
Renewable energy projects like wind farms are essential for climate goals. But communities often resist when projects affect their landscapes, livelihoods, or cultural values.

The Opportunity with AI:
AI optimization models identified ideal locations for wind turbines based on efficiency, cost, and environmental factors. The data showed where projects could maximize energy output.

The Human-Centered Design Twist:
Rather than making decisions behind closed doors, the team ran community workshops supported by AI simulations. Residents could see:

  • Visualizations of how turbines would look from their homes.
  • Predicted noise levels and environmental impacts.
  • Local job opportunities created by the project.

The Result:
The process shifted from “deciding for” communities to “deciding with” them. AI gave the technical insights, while design practices made space for dialogue, trust, and shared decision-making.

Takeaway:
Sustainability isn’t just about building greener infrastructure. It’s about building it with people, not just around them.