Effective Energy Learning Platform for Building Design Optimization

Feb 26, 2025

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Explore energized learning opportunities with expert Evan Mills, a staff scientist from the Lawrence Berkeley National Lab. Gain insights on building geometry, envelope algorithms, and web-based tools to predict energy bills accurately. Discover how predicted bills can vary from 75% to 200% of the actual costs with a potential upside error of $1200/year.

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Effective Energy Learning Platform for Building Design Optimization

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Energized Learning:HES Walkthrough Evan Mills Staff Scientist Energy Analysis Department Lawrence Berkeley National Lab emills@lbl.gov http://eetd.lbl.gov/emills 510-486-6784

Detailed Description: Bldg. Geometry
Envelope
Algorithms

Predicted Bills: Web-based Tools • Predicted bills varied from 75% to 200% of actual • Upside error: $1200/year

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