Kevin Kai Wong, President & CEOApril 21, 20267 min read

If you manage a commercial or industrial facility and you have never had a detailed conversation with your energy manager about demand charges, there is a meaningful probability that a significant portion of your electricity budget is being wasted on a single preventable cause. Demand charges — the portion of your electric bill based not on how much electricity you use but on the rate at which you use it at its peak — can represent between 30 and 70 percent of a commercial electric bill according to research from the National Renewable Energy Laboratory. Most organizations manage energy consumption. Very few actively manage demand, and the financial gap between these two approaches is substantial.

Understanding demand charges requires a brief explanation of how commercial electricity pricing works. Unlike residential customers, who typically pay a single rate per kilowatt-hour, commercial and industrial customers pay two distinct types of charges:

• Energy charges reflect total consumption — the kWh used over the billing period, multiplied by the applicable rate.
• Demand charges reflect peak consumption — the highest average rate of usage recorded over any 15-minute interval during the billing period, multiplied by a separate demand rate that varies by utility but commonly ranges from $10 to $30 per kilowatt of peak demand.

The asymmetry is significant. If your facility typically draws 200 kilowatts but for one 15-minute interval on one afternoon in the billing month draws 450 kilowatts because three large HVAC units and a bank of process equipment all started simultaneously, your demand charge is calculated on 450 kilowatts — for the entire month. A brief event locks in a month-long cost. And because utilities in many regions have also moved toward ratchet clauses — where your peak demand in any month can establish a minimum billing demand for subsequent months — a single bad event can influence your bill for six months or longer.

Why Demand Spikes Happen

Demand spikes are rarely the result of runaway consumption. They are almost always the result of coincident load — multiple large electrical loads starting or peaking at the same time. The most common causes are well understood:

• HVAC compressor starts during morning cooldown periods
• Production equipment starting at shift change
• Large motors starting under load
• Commercial kitchen equipment peaking simultaneously during meal preparation periods

These events are entirely predictable and, with the right visibility, entirely preventable. The core problem is that most facilities lack the real-time, circuit-level visibility to see demand building toward a spike before it occurs. By the time the 15-minute interval has closed and the meter has recorded the peak, the event is history and the charge is locked in.

Utility interval data — delivered days or weeks after the billing period — is retrospective. It tells you that a demand peak occurred; it does not give you the operational context to understand which loads were responsible or the real-time alerting to prevent the next one.

Circuit-Level Monitoring as a Demand Management Tool

Circuit-level energy monitoring transforms demand management from a post-hoc analysis activity into a real-time operational capability. When sensors monitor each major load group — HVAC systems, production lines, process equipment, large motors, EV charging infrastructure — the aggregated demand can be tracked in real time and compared against a demand threshold that you establish in advance.

When aggregated demand trends toward the threshold, automated alerts give operations staff time to shed non-critical loads before the 15-minute interval closes. This might mean briefly cycling off non-critical HVAC zones, pausing non-urgent production processes, deferring EV charging, or staggering equipment starts. The interventions are typically minor from an operational standpoint and can be systematically pre-planned — but they require real-time visibility to execute reliably.

Running the math

Consider a facility with a peak demand of 800 kilowatts and a demand charge rate of $15 per kilowatt — a demand charge of $12,000 per month, or $144,000 annually. If systematic demand management reduces peak demand by 15 percent to 680 kilowatts, the annual demand charge savings total $21,600. On a 200-sensor installation costing $40,000, that alone represents a payback of under two years — before accounting for any energy consumption savings from the same monitoring system.

In markets with particularly high demand charge rates — California, New York, Illinois, and others where commercial rates are among the highest in the nation — the economics are even more compelling. Utilities in the PJM interconnection region saw capacity auction results in 2024 that translated into significant demand charge increases beginning in mid-2025, creating even greater urgency for commercial and industrial customers to actively manage their peak loads.

Demand Management at Scale: Multi-Site Portfolios

For organizations operating multiple commercial locations — retail chains, distribution networks, healthcare systems, hospitality portfolios — demand management at scale becomes a significant strategic opportunity. If each of 50 locations is overpaying by $20,000 annually in avoidable demand charges, the portfolio-level opportunity is $1 million per year.

Circuit-level monitoring deployed across a portfolio provides the visibility to:

• Identify which sites have the most significant demand management opportunities
• Compare peak demand profiles across similar facility types
• Deploy operational protocols that reduce coincident load across all sites simultaneously

The analytics layer above the circuit-level data — dashboards showing real-time and historical demand trends, automated alerts triggered when any site in the portfolio approaches its demand threshold — enables a small central energy team to actively manage demand across dozens or hundreds of locations that would be impossible to manage individually.

Making the Operational Case

The conversation about demand management is frequently stalled by uncertainty about what operational changes are actually required to reduce peak demand. Facility managers worry about disrupting operations or requiring occupant behavior change. In practice, the most effective demand management strategies involve systems that occupants never notice.

Pre-cooling — operating HVAC at slightly higher intensity earlier in the morning to pre-condition the building before occupants arrive, reducing the cooling load during peak demand hours — is invisible to building users and often reduces peak demand by 10 to 20 percent without any reduction in comfort. Staggered equipment starts, managed through building automation or operational procedures, add minutes of delay between large motor starts — again, operationally invisible.

The key to implementing these strategies reliably is knowing your load profile in granular detail. That requires circuit-level monitoring. Every facility has a unique combination of loads, schedules, and demand patterns. Effective demand management is built on understanding your specific facility's profile, not on generic rules of thumb. The data to build that understanding is available. The question is whether you are capturing it.

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