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Smart Resilience Energy System (SRES)

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Smart Resilience Energy System (SRES)

Status: Submitted Submitted by Crewman SophieBrause Crewman on ‎2025-08-29 07:14 AM
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Innovation Summary

SRES is a predictive battery analytics and energy storage service to anticipate grid stress events such as extreme weather or utility outages and intelligently switch to battery power to maintain reliability, reduce peak demand, and optimize energy costs.

Core Features

1. Weather & Grid Stress Forecasting

  • Integrates real-time and historical weather data (e.g., NOAA, local sensors) with utility outage records.
  • Uses machine learning to predict high-risk periods for grid instability (e.g., heatwaves, storms, cold snaps).
  • Aligns forecasts with seasonal load factors and loss-of-load expectation (LOLE) windows.

2. Curtailment-Aware Battery Dispatch

  • Leverages insights from the report’s “curtailment-enabled headroom” analysis.
  • Automatically shifts critical loads to battery storage during forecasted peak stress hours.
  • Minimizes curtailment by optimizing battery use to retain >50% of load during most curtailment hours.

3. Flexible Load Integration

  • Prioritizes AI-specialized data centers and other delay-tolerant loads (e.g., batch processing, model training).
  • Supports temporal and spatial flexibility by coordinating across multiple facilities and regions.

4. Dynamic Optimization Engine

  • Uses load duration curves and system headroom metrics to determine optimal battery dispatch timing.
  • Incorporates economic dispatch models to reduce electricity costs and avoid demand charges.

5. Grid Services Participation

  • Enables batteries to participate in demand response and ancillary services (e.g., frequency regulation).
  • Supports “virtual spinning reserves” by providing near-instantaneous load adjustments.

According to this paper here, smart battery usage can provide the following: 

Savings Mechanism Estimated Impact
Avoided infrastructure $ billions (national scale)
Reduced demand charges Up to 30% of annual bill
Increased system utilization Lower per-kWh costs
Grid services revenue Significant, case-dependent
Strategic load shifting Up to 15% cost savings

 

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