Customized Solutions for Scalable Demand Flexibility and Energy Efficiency

Originally presented at the 2024 ACEEE conference and published by the organization, Edo has developed a data-driven methodology to create cost-effective utility programs that combine demand flexibility and energy efficiency for grid-interactive buildings. By leveraging AMI data and simulations, this approach tailors measures to local building stock and load profiles, addressing grid congestion and enhancing system-wide load flexibility. Key steps include assessing grid issues, analyzing building load patterns, and identifying targeted measures. This methodology supports the decarbonization of the grid through efficient deployment of behind-the-meter resources, shaping a scalable model for utilities.