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.

In this white paper you will learn:

• How rapid changes in electricity consumption and generation patterns are creating a
  significant need for additional sources of energy storage and load flexibility on electric
  distribution grids.
• Why a new paradigm is required to enable utilities and buildings to shape load profiles at the system-level for buildings to become more active participants in the electric grid.
• About a data-driven methodology for creating utility programs that combine demand flexibility and energy efficiency from grid-interactive buildings.
• What steps are involved in using utility AMI data in conjunction with simulations to determine cost-effective measures based on local building stock characteristics and load profiles.