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Demand

Demand Charges and Load Factor: How Texas Facilities Cut Both

Demand charges—based on peak kW usage—can make up 50% or more of a commercial site’s electricity bill in Texas. This article explains how load factor, a measure of consistent energy use, directly impacts those charges. By improving load factor through equipment scheduling, load shifting, and real-time monitoring, facilities can reduce demand charges by 20% to 30% without cutting operations. A real-world example shows a manufacturing plant saving $14,800 annually by optimizing its load shape.

By UPG Market Desk — Texas Commercial Energy ConsultantsPublished June 15, 20266 min read

Understanding Demand Charges and Load Factor in Texas

In Texas, commercial and industrial electricity bills are driven not just by total kWh consumed, but by peak demand measured in kilowatts (kW). This is the demand charge—typically the largest single component of a commercial bill, often accounting for 50% or more of total cost. Unlike energy charges, which are based on total consumption (kWh), demand charges are based on the highest 15-minute average power draw during the billing period. This means a single 15-minute spike—like starting multiple compressors at once—can trigger a high demand charge that lasts the entire month.

Load factor, defined as the ratio of actual energy use (kWh) to maximum possible use (kW × hours in billing period), reveals how efficiently a site uses power. A low load factor—say, below 0.5—indicates an inefficient, erratic load shape with sharp spikes and long periods of low usage. A high load factor—above 0.7—means consistent, steady power use. In ERCOT’s wholesale market, where prices are set by marginal cost at each node, inefficient load shapes increase system-wide costs and can lead to higher wholesale prices, especially during peak hours. For Texas businesses, improving load factor is one of the most effective ways to reduce demand charges and overall energy spend.

Why Low Load Factor Means High Costs

A low load factor reflects poor load management. For example, a facility that uses 500,000 kWh over a 30-day month (720 hours) with a peak demand of 1,000 kW has a load factor of:

(500,000 kWh) / (1,000 kW × 720 h) = 0.694

That’s a relatively good load factor. But if the same facility has a peak of 1,500 kW during the same period, the load factor drops to:

(500,000 kWh) / (1,500 kW × 720 h) = 0.463

This 30% lower load factor means the same energy use is now being delivered at a much higher peak, resulting in significantly higher demand charges. In a typical Texas commercial contract, demand charges can range from $10 to $20/kW per month, depending on the REP and contract type. A 500 kW difference in peak demand can add $5,000 to $10,000 in annual demand charges alone.

ERCOT’s nodal market pricing, combined with TDSP delivery charges (including 4CP transmission fees and distribution charges), amplifies the cost of inefficient load shapes. During peak hours, especially in summer, LMPs (Locational Marginal Prices) can exceed $100/MWh. Facilities with poor load factor contribute to these spikes, increasing their own cost and the cost of others. The PUCT’s Electricity Facts Label (EFL) requires REPs to disclose both energy and demand rates, making transparency a key tool for informed decision-making.

Practical Strategies to Improve Load Factor

Improving load factor doesn’t require reducing energy use—it requires changing how and when it’s used. The most effective strategies are:

1. Stagger Equipment Starts

Many facilities have large motors or HVAC systems that start simultaneously, creating sharp demand spikes. By staggering startup times—e.g., starting compressors one at a time every 5–10 minutes—facilities can avoid the 15-minute peak that triggers demand charges. This simple adjustment can reduce peak kW by 15% to 25% without affecting production.

2. Peak Shaving

Peak shaving involves temporarily reducing non-critical loads during high-price periods. This can be done manually or via automated systems. For example, a facility might shut down non-essential lighting or reduce cooling setpoints for 15 minutes during a high-LMP period. ERCOT’s ancillary services market rewards grid stability, and facilities that participate in demand response programs can earn additional revenue.

3. Load Shifting

Shift energy-intensive processes to off-peak hours. For example, running a large boiler or water heater at night or on weekends—when demand is lower and LMPs are below $20/MWh—can significantly reduce peak demand. This is especially effective for facilities with flexible production schedules.

4. Real-Time Monitoring and Targeting

Install submetering and real-time energy monitoring systems to track kW usage every 15 minutes. Use this data to identify peak events, validate the impact of load management actions, and set targets. UPG’s Energy Health Check includes a TDSP delivery-charge audit and load shape analysis, helping clients identify inefficiencies and benchmark against similar facilities.

Worked Example: Manufacturing Plant Improves Load Factor

A manufacturing plant in Fort Worth had a monthly energy use of 620,000 kWh and a peak demand of 1,800 kW. Its load factor was:

620,000 kWh / (1,800 kW × 720 h) = 0.463

The plant’s demand charge was $18/kW per month, totaling $32,400 monthly ($388,800 annually). After a UPG Energy Health Check, the facility implemented the following:

  • Staggered start of six large compressors (reducing peak by 300 kW)
  • Shifted boiler operation from 10 a.m. to 8 p.m. (off-peak)
  • Installed real-time monitoring with alerts for approaching 15-minute peaks

After three months, the peak demand dropped to 1,500 kW. The new load factor was:

620,000 kWh / (1,500 kW × 720 h) = 0.578

The annual demand charge dropped to $18/kW × 1,500 kW × 12 = $324,000. The savings: $388,800 – $324,000 = $64,800 annually. Additional savings from reduced TDSP delivery charges and lower wholesale exposure brought total savings to $78,000 per year.

This plant also qualified for a demand response program, earning $3,200 in annual incentives. The total savings exceeded $81,000.

Bottom Line

Demand charges are not a fixed cost—they are a function of load shape. In Texas, where peak demand can drive up costs by 50% or more, improving load factor is one of the most effective ways to reduce energy spend. By staggering equipment starts, shifting loads, using real-time monitoring, and targeting peak events, commercial and industrial facilities can reduce demand charges by 20% to 30%—and sometimes more. With UPG’s proven track record of helping clients save $3.2M annually across 1,000+ accounts, optimizing load factor is not just a technical fix—it’s a strategic advantage. For Texas businesses, a better load factor means lower bills, greater operational resilience, and a stronger position in a competitive energy market.

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