Prompt

How can I use smart energy management integration with behind-the-meter storage to cut peak demand at a facility?

Energy · Energy Storage / Energy storage1 observationLast seen Aug 3, 2026

Latest observation

Aug 3, 2026 · OpenAI APIWeb search: off

You can cut peak demand by using smart energy management (EMS) to control a behind-the-meter battery storage system so it discharges during your facility’s highest-demand periods, reducing the kW drawn from the utility at those times.

Core idea

  • Behind-the-meter storage is a battery installed on your side of the meter.
  • A smart EMS monitors:
    • facility load,
    • utility rates and demand charges,
    • weather/production schedules,
    • battery state of charge,
    • on-site generation if you have it.
  • The EMS then decides when to charge and when to discharge to:
    • shave peaks,
    • avoid demand charges,
    • shift energy use to cheaper hours,
    • maintain backup reserves if needed.

How it works in practice

  1. Measure the load in real time

    • Use meters and submetering to identify when the facility’s demand spikes.
    • Determine which loads create peaks: HVAC, compressors, chillers, process equipment, EV charging, etc.
  2. Set a peak demand target

    • Choose a demand cap, such as “keep monthly peak below 800 kW.”
    • The EMS uses this as a control threshold.
  3. Program battery discharge during peak events

    • When site load approaches the target, the battery injects power to offset the grid draw.
    • Example: if the facility is at 1,000 kW and the target is 800 kW, the battery supplies 200 kW.
  4. Charge the battery off-peak

    • Charge overnight or during low-demand periods.
    • If you have solar, charge from excess solar output when possible.
  5. Coordinate with other flexible loads

    • The EMS can also reduce or shift noncritical loads:
      • precool/preheat,
      • delay process loads,
      • stagger motor starts,
      • control EV charging.
    • Storage works best when combined with load management.
  6. Use forecasting and automation

    • Advanced systems predict peaks using:
      • historical load patterns,
      • weather forecasts,
      • production schedules,
      • tariff rules.
    • The EMS can act proactively before the peak occurs.

Common control strategies

  • Peak shaving: Battery discharges only when demand exceeds a set threshold.
  • Demand limiting: EMS enforces a hard cap on utility import.
  • Time-of-use arbitrage: Charge when power is cheap, discharge when expensive.
  • Solar self-consumption: Store excess solar and use it later to reduce grid imports.
  • Backup reserve mode: Keep some state of charge for outages while still shaving peaks.

Key steps to implement

  • Audit your load profile and identify peak drivers.
  • Review your tariff, especially demand charges and time-based pricing.
  • Size the battery based on:
    • peak kW reduction needed,
    • peak duration,
    • desired backup reserve.
  • Integrate EMS with facility controls:
    • BMS/SCADA,
    • building automation,
    • meters,
    • battery inverter/controller.
  • Test and tune the dispatch logic over several billing cycles.

Example

If your facility has:

  • average load: 500 kW,
  • peak load: 900 kW,
  • demand charge based on monthly max kW,

and you install a 300 kW / 600 kWh battery with EMS control, the EMS can discharge 200–300 kW during the peak window, cutting grid demand to around 600–700 kW and significantly reducing demand charges.

Practical considerations

  • Battery size matters: You need enough kW for peak reduction and enough kWh for duration.
  • Demand charges may reset monthly: One short peak can drive the whole bill.
  • Battery degradation: Frequent cycling affects life, so optimize dispatch.
  • Interconnection and safety: Coordinate with utility and comply with electrical/fire codes.
  • Operational constraints: Avoid impacting critical processes or backup power needs.

If you want, I can also help you with:

  • a sample EMS control logic for peak shaving,
  • battery sizing calculations,
  • or a facility-specific example using your load profile and utility tariff.

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