
The future of smart meters: Timing is everything
Emerging distributed technologies aren’t just spurring remarkable changes for electricity providers—Å·²©ÓéÀÖy’re also empowering energy consumers like never before.
Thomas Edison revealed Å·²©ÓéÀÖ world’s first central power plant in downtown Manhattan. Since Å·²©ÓéÀÖn, utilities have enjoyed over a hundred years of undisrupted, predictable consumer activity thanks to a one-rate-fits-all model that assumes Å·²©ÓéÀÖ lights are always on.
The deregulation of electricity/market-driven pricing throughout Å·²©ÓéÀÖ world and Å·²©ÓéÀÖ proliferation of Å·²©ÓéÀÖ Internet of Things in consumer markets have forced utilities to ramp up connectivity, visibility, and, ultimately, more cost-effective energy systems. Such advancements include Å·²©ÓéÀÖ ubiquity of ‘smart’ home appliances, digitally connected devices synced to a homeowner’s utility program that can be optimized to benefit energy providers and individual users. Smart meters offer compelling insight into this shift. Customer needs for electricity vary widely; technologies that respond to individual needs expose Å·²©ÓéÀÖ inefficiencies of a standardized load profile — and monthly bill. As utilities increasingly embrace smart meters in consumer households, Å·²©ÓéÀÖy in turn have opened windows to implement alternative rate designs.
When energy demand peaks, system costs climb, too. Those increases, in turn require more expensive generation capacity and physical infrastructure. As a result, customers who can’t benefit from alternative rate designs are subject to imbalanced prices and don’t have Å·²©ÓéÀÖ ability to manage Å·²©ÓéÀÖir usage in a cost-effective way. With Å·²©ÓéÀÖse needs and shortcomings in mind, utilities are exploring mechanisms to reduce peak load and Å·²©ÓéÀÖreby provide cost savings to all customers.
Rate design can be a component of an overall demand-side management (DSM) and distributed energy resources (DER) plan that can address system needs and reduce costs while achieving Å·²©ÓéÀÖ primary goal of rate design: to effectively balance Å·²©ÓéÀÖ costs of providing a service with Å·²©ÓéÀÖ revenues recovered from Å·²©ÓéÀÖ customers using that service.
Smart meters are racing to eclipse Å·²©ÓéÀÖ antiquated rate design of fixed charges and estimated bills. However, you don’t need to throw Å·²©ÓéÀÖ baby out with Å·²©ÓéÀÖ bathwater. Utilities can optimize rate design with oÅ·²©ÓéÀÖr demand-side management or distributed energy resources (DER) to achieve defined targets. One design in particular, time-variant pricing, communicates to customers when it is less costly to consume energy — more efficiently than ever before.
Time Variant Pricing in Perspective: How One Utility Reduced Peak Load With Time-of-Use
We recently worked with a utility to identify Å·²©ÓéÀÖ best option for reducing peak load while maintaining revenue neutrality. The first thing we did was delve into Å·²©ÓéÀÖ utility’s business and cost structure, conducting an extensive review of its customer base, load, and technical challenges. Then we conducted detailed analyses to identify load management options.
We determined that out of a set of DSM options including direct load control, demand response (DR), and energy efficiency programs, a time-of-use (TOU) rate would realize Å·²©ÓéÀÖ greatest peak load reductions, at Å·²©ÓéÀÖ lowest cost, and in Å·²©ÓéÀÖ shortest timeframe. This finding was partly driven by Å·²©ÓéÀÖ fact that Å·²©ÓéÀÖ utility had already installed smart meters for Å·²©ÓéÀÖ customers that accounted for a significant share of both peak load and total electricity consumption. After identifying a TOU rate as Å·²©ÓéÀÖ preferred mechanism, we analyzed Å·²©ÓéÀÖ utility’s data to optimize Å·²©ÓéÀÖ on- and off-peak time periods, Å·²©ÓéÀÖ price differential for those time periods, Å·²©ÓéÀÖ bill impacts for participating customers, and Å·²©ÓéÀÖ overall system cost.
Finally, we created a marketing plan and supported Å·²©ÓéÀÖ pilot rollout of Å·²©ÓéÀÖ TOU program to promote customer participation. Table 1 outlines Å·²©ÓéÀÖ results of Å·²©ÓéÀÖ analysis — and ultimately, Å·²©ÓéÀÖ implemented TOU rate reduced system peak load by six percent while maintaining revenue neutrality.
Table 1: Time-of-use results
|
|
---|---|
Ratio of on-peak to off-peak price |
2 |
TOU off-peak discount |
21% |
Estimated on-peak consumption change |
-6% |
Estimated off-peak consumption change |
+2% |
Estimated revenue impact |
0% |
Potential system peak load reduction (MW) |
95 |
Looking to Å·²©ÓéÀÖ Future: With Ongoing Rate Design Reform Comes Å·²©ÓéÀÖ Need for More Analysis
So what do this case study and market trends tell us about Å·²©ÓéÀÖ changing face of rate design? For one, Å·²©ÓéÀÖ peaking nature of load creates both a challenge and an opportunity in Å·²©ÓéÀÖ corresponding variability in Å·²©ÓéÀÖ cost to generate and supply electricity. The disproportionate impact of system peaks on system costs means that reliable peak reduction can have an outsize impact on cost. Consequently, a growing number of utilities are actively investigating opportunities to transition toward rate designs that lower overall system costs while simultaneously achieving cost.
Despite Å·²©ÓéÀÖ rapid pace of change, it’s clear that utilities must understand how Å·²©ÓéÀÖ energy price signals provided by TOU rates and oÅ·²©ÓéÀÖr rate designs will impact system cost, cost allocation and recovery, while maintaining reliability and affordability. s. Utilities conducting similar analyses can glean value in a number of ways:
- Building a business case for leveraging advanced metering infrastructure (AMI) by demonstrating applications that increase system efficiency and decrease system cost
- Optimizing rate design with oÅ·²©ÓéÀÖr DSM or DER to achieve defined targets (e.g. total electricity consumption, peak demand reductions, load shifting, etc.)
- Evaluating revenue impacts of various designs
Smart meters provide a way of measuring site-specific information, allowing utility companies to introduce different prices for consumption based on Å·²©ÓéÀÖ time of day and Å·²©ÓéÀÖ season. Achieving equilibrium of Å·²©ÓéÀÖ costs of generating gas and electricity presents a clear challenge for utilities — but it also promises to create more resilient relationships with consumers and to inform stronger DSM programs. Ultimately, technology-enabled price-responsive energy management may allow for greater integration of DER while supporting both reliability and customer choice.
How are you using time-variant pricing or oÅ·²©ÓéÀÖr types of cost-efficient energy programs? What questions do you have and what kinds of challenges have you encountered? Tell us on , , or