Catalyst with Shayle Kann
Catalyst with Shayle Kann

Are utilities ready to fully harness demand flexibility? [partner content]

When it comes to decarbonization planning, utilities tend to focus heavily on the supply side. But they may be overlooking one of their most powerful tools for managing a cleaner grid — demand flexibility. Demand response and time-varying rates have been in use for decades. But many utilities still

Featured Speakers

Scott Ingstrom Guest

Topics Discussed

Episode Summary

Executive Summary: Scott Ingstrom of GridX argues that utilities are at a pivotal moment: decarbonization requires not just cleaner supply, but far more demand flexibility enabled by smart meters, time-varying rates, and increasingly dynamic pricing. He highlights California’s response to extreme heat, the limits of real-time pricing, equity concerns, and the growing need for analytics, customer education, and device automation.

Main Topics: Demand flexibility as a grid necessity (Priority: 5/5): Ingstrom explains that as utilities add intermittent renewables and electrification grows, they need predictable demand shifts to balance the grid, not just supply-side decarbonization. Time-varying and dynamic rate design (Priority: 5/5): The discussion centers on time-of-use, multiple TOU options, and hourly dynamic rates as tools to encourage off-peak usage and create grid value. Complex rate analytics as a new utility function (Priority: 4/5): GridX’s category emerged because utilities need tools to model revenue impacts, customer participation, and regulatory outcomes of new rates. Equity and customer impacts (Priority: 4/5): They address concerns that TOU rates may hurt low-income customers, noting evidence is mixed and depends on utility context and education efforts. Lessons from California and Winter Storm Uri (Priority: 5/5): California’s heat-wave response showed measurable load reduction from price signals, while Texas’ real-time pricing disaster illustrated the risks of exposing customers directly to wholesale volatility. Automation and device-based pricing response (Priority: 3/5): Future rate design may rely less on human monitoring and more on smart devices, EVs, thermostats, and AI to respond automatically to price signals. Regulatory and institutional change (Priority: 4/5): Utilities and regulators are increasingly accepting rate design as part of clean energy transition planning, though adoption remains slow and pilot-driven.

Key Arguments: Utilities historically optimized for selling more electricity, but decarbonization requires them to also manage demand actively. Time-varying rates can deliver meaningful grid benefits at relatively low cost, as shown by California’s measured 75 MW load reduction. Supply-side decarbonization alone is insufficient; renewable-heavy grids need predictable demand flexibility to operate reliably. Utilities need more than one rate option because customer flexibility varies widely, and a single TOU structure will not fit everyone. Smart meters made granular rate design and measurement possible, but many utilities are still only now deploying the needed infrastructure. Complex rate analytics helps utilities assess revenue effects, design rates for regulators, and help customers understand whether they should enroll. Equity concerns about TOU rates are real but not universally negative; outcomes vary by customer mix, climate, and utility design. The Texas real-time pricing experience showed that direct wholesale pass-through can create severe bill shocks and destroy trust. The future is likely device-mediated pricing, where automation lets customers benefit from dynamic prices without constantly monitoring them. Customer education is essential; customers can only respond to price signals if they understand when prices are high and how they can save.

Data Points: Time of use load reduction: 75 megawatts - Southern California Edison measured this reduction from customer response to higher on-peak prices during the 2022 heat wave. Heat wave duration: long string of 100-plus days - Described the California extreme heat period that strained the grid in September 2022. Smart meter rollout timeframe: about 15 years - Used to explain how long smart meters have enabled time-varying rates and granular measurement. Demand flexibility planning horizon: 2030s, 2040s, 2050s - Utilities’ net-zero and decarbonization targets that increase the need for demand-side tools. Peak pricing window: 3 to 4 hours a day - Referenced as the small period when prices would be higher in a TOU rate structure. Off-peak pricing window: 20 or 21 hours a day - Referenced as the majority of the day when customers could pay lower prices under TOU rates. California event year: 2022 - The state’s heat-wave emergency and Amber Alert-style conservation message occurred in September 2022.

Pivotal Quotes: "we're still early days on the demand flexibility stage of learning for utilities and for customers" — Scott Ingstrom: Explaining why demand flexibility has not yet been fully integrated into utility planning. "This is really the win-win of rate design, where customers benefit and the grid benefits" — Scott Ingstrom: Describing the ideal outcome of well-designed time-varying rates and flexibility programs. "our industry is grappling with that" — Scott Ingstrom: Referring to how utilities are trying to measure and incorporate demand flexibility into capacity and resource adequacy planning.

Implications: Utilities will need more sophisticated rates, analytics, and automation to meet decarbonization goals reliably and fairly. The winners will be utilities that can test, measure, and educate customers while avoiding bill shocks and earning regulatory trust.

🔓 Sign Up for Unlimited Episode Search

About Catalyst with Shayle Kann

View all episodes from Catalyst with Shayle Kann