Build, Repeat. (A Paces Podcast) Al and Early De-Risking: The Future of Solar Development
7 snips
May 15, 2025 
Join Kyle Baranko, a product lead at Paces with a knack for energy data science, and Tony Wagler, a renewable energy expert specializing in solar and battery storage, as they explore innovative strategies for solar project development. They discuss using AI and Monte Carlo simulations to reduce soft costs and improve project outcomes. Discover the importance of early de-risking, the four archetypes affecting success, and how automation can save time and enhance decision-making. This compelling conversation is packed with insights for anyone curious about the future of clean energy!
AI Snips
Chapters
Transcript
Episode notes
Early De-Risking Boosts ROI
- De-risking earlier in solar development dramatically improves project ROI by cutting costs and timelines.
- Late discovery of risks causes 70–90% of projects to fail after site control is secured.
Archetypes Define Local Variance
- Risk factors vary significantly even within a single township depending on site attributes.
- Understanding archetypes helps standardize development workflows despite local complexities.
Automate to Save Time and Money
- Automate manual desktop diligence tasks without losing data integrity to reduce time and development costs.
- Shadow human workflows step-by-step to identify automation opportunities in de-risking.