Cut demand charges by controlling peak kW with operational tactics first—then controls—then hardware if needed.
Many buildings don't have an "energy cost problem." They have a peak demand problem.
If demand charges are meaningful, a few peak events can drive a large share of your bill. The result:
This collection gives you a beginner-safe system to: confirm whether demand is the driver, identify peak windows and likely causes, reduce peak kW without breaking comfort or operations, and decide if metering and controls are worth it.
Peak demand is the highest power draw (kW) you hit during a billing period.
Utilities often charge you for that peak because it drives grid capacity needs.
How much you used
How high your "spike" was
If your bill has "demand charges," this collection applies.
If you are new, follow this sequence:
Run one site through a 30-day peak reduction experiment:
That alone will tell you whether peak management is worth scaling. Start with the Peak Demand Management + Load Shifting Playbook.
A step-by-step implementation path to reduce peak kW and demand charges.
1 day setup + 30 days executionScreen sites, choose the right business model, and execute a project that can be operated and proven (not engineering advice).
Decide why you're deploying EV charging, where it goes, how it's metered, and how billing works (beginner-friendly).
Reduce demand charges by controlling peaks, smoothing loads, and shifting flexible usage (beginner-friendly, not engineering advice).
Reduce utility costs by ensuring each account is on the right rate plan and you're not paying avoidable charges.
Move from allocation to measurement: what to meter, where, and how to justify it.
Confirm whether demand is a meaningful driver at the site.
Estimate savings from reducing peak kW (helps justify time, controls, and metering).
Model EV charging peak risk and identify control strategies.
Directional payback view for metering/controls based on demand savings potential.
These templates are designed to be copied directly into your operating trackers.
| Site | Peak date | Peak time window | Peak kW | Suspected driver | Action taken | Owner | Result | Evidence link | |---|---|---|---:|---|---|---|---|---|
Peak Target Plan Site: Baseline peak kW: Demand rate ($/kW-month): Target reduction (kW): Estimated savings ($/month, $/year): Likely drivers: - 1) - 2) - 3) Tactics (operational first): - 1) - 2) - 3) Owner: Start date: Measurement approach (bill peak vs interval peak): Guardrails (comfort/safety/uptime):
Subject: Request: interval usage data export — Account [#], Period [start–end] Hello, Please provide interval usage data for account [#] for period [start–end]. Preferred format: CSV. Please include: - interval length (15-min/hourly) - timestamps - usage (kWh per interval) and/or demand (kW) Thanks, [Name]
30-Day Peak Experiment Checklist Week 1 - Confirm demand charges matter (baseline metrics) - Set peak target and guardrails - Identify likely peak drivers Week 2 - Implement 1–2 scheduling/sequencing tactics - Start peak event log Week 3 - Add one additional tactic (if needed) - Review peak events and refine Week 4 - Measure outcomes vs baseline - Decide: scale operations / pursue metering / pursue controls
Pick the next collection based on your goal:
v1.0 (2026-01): Latest release