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Is now the time for DERs to scale? [re-published]

Catalyst with Shayle Kann

Hosted by Shayle Kann

42m
Transcript

Original podcast

Summary

Written by a model from the transcript; not yet reviewed.

This episode explores why the current era presents a uniquely viable moment for distributed energy resources to scale, revisiting the unfulfilled promises of the DER hype cycle from a decade ago. The host and the guest, Andy Lubrashane, examine the primary reasons earlier projections failed—specifically that the power system experienced minimal load growth and therefore did not need alternative capacity, while the hardware and soft costs remained high. They argue that market conditions have inverted: surging electricity demand and infrastructure bottlenecks mean the grid desperately needs capacity, and the rising costs of traditional generation alternatives make DERs increasingly competitive. The conversation highlights the transition from theoretical concepts to active deployments like virtual power plants and advanced demand response, detailing the bull and bear cases for widespread adoption over the next five years.

  • Grid operators increasingly require dispatchable capacity resources that provide a real-time on-off button rather than passive assets like standard energy efficiency. 6:22
  • Earlier DER enthusiasm failed partly because flat macro load growth meant utilities did not face enough pressure to find alternatives to traditional grid upgrades. 15:01
  • High soft costs and customer acquisition expenses kept fully installed residential battery systems expensive even as raw battery cell prices dropped. 21:14
  • Demand response aggregators like Voltus have seen a sharp increase in the actual frequency of dispatch events by grid operators over the past two years. 31:05

Chapters

  1. 0:00
    Episode Introduction and Conference Promotion

    The host introduces the episode, notes its original 2025 release, and promotes the upcoming Flex Summit.

  2. 1:26
    Shail Khan’s Welcome and DER Context

    Shail Khan welcomes listeners and sets the stage for discussing why distributed energy resources (DERs) are now poised to scale.

  3. 1:56
    Data Center Demand Flexibility Overview

    The conversation turns to how data centers use demand flexibility and GridBeyond’s solutions to manage distributed assets.

  4. 5:38
    DER Taxonomy and Categorization

    Andy Lubrashane explains the two main DER categories—non-dispatchable (energy efficiency, solar) and dispatchable capacity (generators, batteries, flexible loads).

  5. 12:03
    Historical DER Failures and Lessons Learned

    Shail recounts the early 2010s enthusiasm for DERs, the lack of grid need, high costs, and the resulting market stall.

  6. 15:00
    Bear Case and Risks for DER Adoption

    The hosts discuss potential pitfalls—supply chain constraints, cost overruns, regulatory inertia, and the challenge of integrating non‑100% reliable resources into grid planning.

  7. 19:15
    Cost Dynamics: Hardware vs. Soft Costs

    Andy explains the fall in hardware prices versus stubborn soft costs such as customer acquisition and installation for batteries.

  8. 30:46
    Evidence of Growing DER Deployment

    The conversation highlights data on increasing VPP deployments, demand response usage, and the potential for scaling to gigawatt levels.

  9. 37:38
    Bull Case Scenario for DER Scale

    Andy outlines a bullish five‑year path where utilities aggressively adopt DER programs, leading to rapid deployment and meaningful grid impact.

Highlights

  • 5:43

    Categorizing Distributed Energy Resourcesinsight

    The guest breaks down DERs into two primary categories: those that do not provide dispatchable capacity, such as efficiency and solar, and those that do, such as flexible loads, storage, and distributed generation.

  • 12:14

    Why DER Enthusiasm Failed Earlyinsight

    The guest explains that the early 2010s hype around utility death spirals was too early because the power system simply did not need DER capacity at that time.

  • 19:08

    The Stagnation of Soft Costsdata

    The conversation highlights that while hardware prices fell, customer acquisition, installation, and interconnection soft costs remained stubbornly high for residential systems.

  • 30:46

    Surging Real-World Dispatch Frequencydata

    The guest points to data from demand response provider Voltus showing that grid operator dispatch events have escalated significantly toward exponential growth.

  • 38:19

    The Bull Case for Utility Actionstrategy

    The guest outlines the scenario where utilities recognize the urgent need for capacity today and build structured programs into their integrated resource plans to scale DERs.

Quotes

  • “The first is primarily that the power system just didn't need DERs very much.”
    Unnamed speaker · 12:57
  • “The cost of a lot of the hardware to enable distributed energy resources would, would fall precipitously.”
    Unnamed speaker · 19:23
  • “If you are working on something truly novel and suited to the moment in this space, get in touch with us.”
    Shayle Kann · 5:08
  • Latitude Media 1:00–2:27
  • Antenna Group 2:27–3:25

About this episode

A decade ago, DERs were hot. The hype was that things like batteries, smart devices, and other distributed energy technologies would offset the need for expanding traditional grid infrastructure. But DERs never took off, at least not at the scale that many hoped for. They had high price tags and short track records compared to the existing substations, transmission lines, and generation options that utilities were familiar with. In short, the market didn’t need them yet. Fast forward 10 years, and things have changed. Load growth is increasing while major grid bottlenecks — like in transmission, interconnection, and supply chains — may be opening up a new opportunity. So is the time finally right for DERs? In this episode, Shayle talks to his colleague Andy Lubershane, partner and head of research at Energy Impact Partners. Last week, Andy published a blog post making the case that DERs were a good idea that was just too early, but the market is ready now. Original episode date: 9/18/2025. Shayle and Andy cover topics like: - What held DERs back a decade ago - Why now is different, including falling system costs and growing grid bottlenecks - The difference between demand response and virtual power plants - The potential hurdles to scale, like supply chain bottlenecks, foreign entity of concern regulations, and fire codes Resources: Latitude Media: Can distributed energy answer AI’s power problem? Open Circuit: The grid flexibility solutions staring us in the face Catalyst: Making DERs work for load growth Credits: Hosted by Shayle Kann. Produced and edited by Daniel Woldorff. Original music and engineering by Sean Marquand. Stephen Lacey is our executive editor. This episode of Catalyst is brought to you by ENGIE, the smarter energy supplier. ENGIE doesn't just provide the power to run your business — they supply the energy to move it forward, with reliable, flexible solutions built for what's next. Learn more at engieresources.com. Catalyst is brought to you by EnergyHub. Peak season puts every grid to the test — and the utilities that pass are the ones that built flexible capacity before they needed it. EnergyHub works with more than 170 utilities to coordinate 2.5 million devices and 3.4 gigawatts of dispatchable flexibility through a single platform designed to perform when it counts most. See what that looks like at EnergyHub.com. Catalyst is brought to you by Bloom Energy. Bloom Energy fuel cells deliver affordable, ultra-reliable onsite power for hospitals, utilities, and data centers – at speed and at scale. Learn more by visiting BloomEnergy.com.

Transcript

0:00
42:21

7,005 words · 4 speakers

Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.

Topics

  • Flex Summit
  • Energy Impact Partners
  • Voltus
  • GridBeyond DERS
  • GridBeyond VPP
  • Energy Hub DERS
  • Prelude Ventures

Page updated · transcript and summary are machine-generated