title: The Secret Rules Behind ERCOT Prices with Andrew Reimers
author: Texas Energy and Power Newsletter
content_type: newsletter
publication: substack.com
published: 2026-02-18T11:03:32+00:00
source_url: gmail://19c70741217bb9b1
word_count: 10789
Listen now (55 mins) | ERCOT just flipped a major switch on how it buys reliability; the ripple effects hit prices, batteries, and investment signals that Texas depends on.
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[ | | | Energy Capital Podcast
The Secret Rules Behind ERCOT…
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Listen now
The Secret Rules Behind ERCOT Prices with Andrew Reimers
ERCOT just flipped a major switch on how it buys reliability; the ripple effects hit prices, batteries, and investment signals that Texas depends on.
Joshua Rhodes and Nathan Peavey
Feb 18
READ IN APP
Texas keeps adding load, adding generation, and adding complexity. But attracting the next wave of investment often comes down to a crucial question:
How does ERCOT use market forces – especially signals that determine where energy prices are set – to boost reliability on the grid?
In this episode, Josh Rhodes sits down with Andrew Reimers to pull back the curtain on the machinery most people never see, including operating reserves, scarcity pricing, and what changed when ERCOT launched real-time co-optimization in December.
The quiet lever: reserves, scarcity, and incentives
Andrew breaks down the pricing story to a simple idea: when electricity on the grid gets tight, the value of the next increment of reliability rises fast, which should signal to investors that they can make money by building more generation in Texas. ERCOT tries to reflect that through scarcity pricing and its operating reserve demand curve.
The hard part is running the grid in a way that ensures affordable, reliable electricity, _and_ that doesn’t smother the very price signal that’s supposed to attract new capacity to the market.
> “Carrying this large volume of operating reserves… you can suppress the prices… disincentivizing investments in new generation.”
That tension – lowering the risk of outages today vs. maintaining investable signals for tomorrow – drives the entire market design debate in Texas.
Reliability policy is also investment policy.
What changed on Dec. 5, and why it matters
In this episode, Josh and Andrew discuss ERCOT’s move to real-time co-optimization late last year and what it means for the ways reserves are procured and obligations show up in real time. That can change outcomes, even if the physical grid looks the same.
The conversation covers:
Why pricing can look wrong even when the grid is fine.
How rule changes can create unexpected incentives.
Why these mechanics matter more as demand rises and the resource mix shifts.
Batteries, forecasting, and the value of looking ahead
Josh and Andrew also show how this all connects to batteries.
Andrew frames batteries as a question of timing and trade-offs, not just megawatts.
> “Batteries… it’s opportunity cost. If I discharge now, I can’t necessarily discharge in the future.”
If ERCOT’s market structure encourages operators to look ahead even an hour or two, the state will end up valuing flexibility more intelligently – and customers will avoid the excess cost of simply buying more reserves to cover forecasting errors.
Final Thoughts
This episode shows that the Texas grid is not just about steel in the ground. It’s also a unique, and largely successful, experiment in how free-market policy – with smart guardrails – can translate individual investment into reliability for all.
If you want to understand why ERCOT decisions spark so much argument, and why market design tweaks can have outsized consequences, this conversation is a great map.
If this prompted questions for you, drop one in the comments. And if you know someone who cares about ERCOT prices but hates reading market docs, send them this episode.
Timestamps:
00:05 – Episode Setup, Why This Matters
01:09 – Andrew Reimers, Role of the IMM
05:03 – Operating Reserves and Market Design
09:55 – Real-Time Co-Optimization Explained
14:30 – ERCOT vs Other Markets
16:42 – Post-Uri Conservatism and Price Signals
19:12 – Scarcity Pricing and Investment Incentives
23:50 – DRRS, RUC, and Reliability Tradeoffs
28:26 – NPRR 1309 vs 1310 Debate
31:02 – Load Forecasting and “Officer Letter Load”
36:55 – Solar, Wind, and Shifting Peak Dynamics
40:45 – Batteries and Multi-Interval Markets
49:15 – Out-of-Market Actions and Hidden Impacts
53:59 – Final Takeaways and Wrap-Up
Resources:
Guest & Company
Andrew Reimers (LinkedIn)
Potomac Economics (Website \- LinkedIn)
Potomac Economics - ERCOT IMM overview
Joshua Rhodes (LinkedIn)
Webber Energy Group (LinkedIn)
IdeaSmiths (Website \- LinkedIn)
Company & Industry News
ERCOT NPRR 1310, IMM comments (Feb 3, 2026)
S&P Global, ERCOT ancillary services rule changes and IMM perspective (Aug 6, 2025)
RTO Insider, ERCOT and IMM ancillary services study (Jul 1, 2024)
Potomac Economics, 2024 State of the Market Report for ERCOT (PDF)
Books & Articles Discussed
Ancillary Service Study, Initial IMM Results (Aug 28, 2024)
Transcript
Josh Rhodes (00:05.174)
Right now, Texas is planning for rapid load growth while still catching up on transmission and interconnection constraints. The challenge is not whether demand is coming, but how fast the system can realistically respond. Welcome to the Energy Capital Podcast, where we cover the decisions, data, and debates shaping the Texas grid and the energy future. I’m your host, Joshua Rhodes. Today’s guest is Andrew Reimers. He’s deputy director of ERCOT at Potomac Economics, the independent market monitor. Andrew is an expert on grid planning,
Josh Rhodes (00:35.234)
load growth, and how infrastructure decisions actually get made in Texas. In this episode, we walk through what planners know, what they are assuming, and where uncertainty is doing real work in the system. We discuss load forecast, transmission bottlenecks, and the trade-offs between moving quickly and maintaining reliability. You’ll walk away with a decision-useful lens for understanding how Texas is navigating growth right now, and where the biggest pressure points are likely to emerge next. Let’s get into it.
Josh Rhodes (01:09.25)