How will data centers pay for power?

Item: How will data centers pay for power?
Rating: 4
Author: PostSingularity Institute

Applied Sciences & Engineering Economics & Finance KNBEnergy industries and utilities KNBLElectrical power generation and distribution industries

🎙 Joshua Rhodes 👥 428 📅 June 3, 2026 ⏱ 44 min 👁 60 📄 expert opinion 🧭 2026-08-16

Available in: English (current) Français

Keywords

open seasontransmission service agreementprepaymentbring your own generationcost allocation

Summary

In this episode of the Energy Capital Podcast, host Joshua Rhodes interviews Travis Kavulla, energy editor at American Affairs, about his essay on how data centers should pay for power. Kavulla argues that the current first-come, first-served interconnection process is inefficient and fails to allocate scarce grid access properly. He proposes an ‘open season’ mechanism borrowed from natural gas pipeline regulation, where grid operators design an engineering plan and tender it to the market through a structured bidding process, granting transferable property rights to successful bidders. The conversation also covers alternative mechanisms: data center prepayments for discrete capital costs, which utilities resist due to rate base erosion; transmission service agreements (TSAs), which are criticized for using average embedded rates rather than incremental costs; and ‘bring your own generation’ to address supply-demand imbalances. Kavulla discusses the applicability of these ideas to ERCOT, highlighting the batch zero process and the need for pricing grid access. The episode concludes with a discussion on which mechanisms are most likely to be adopted, considering political and regulatory realities.

173 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information is high, as it provides a nuanced analysis of complex regulatory and economic issues surrounding data center grid access. Kavulla’s argumentation is solid, drawing on his extensive experience as a utility regulator and policy expert. He clearly explains the trade-offs of each mechanism, using analogies like ‘hog season’ vs ‘deer season’ to make the concepts accessible. The discussion is well-structured, systematically addressing each proposed solution and its implications. However, the argumentation relies heavily on expert opinion and qualitative reasoning, with limited quantitative evidence presented in the conversation.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is moderate to high. Kavulla references his own essay in American Affairs, which is a reputable journal, and mentions specific studies such as the Lawrence Berkeley National Lab study on load growth and rates. The conversation also references regulatory cases like ComEd and Dominion, but does not provide detailed citations within the dialogue. The title accurately reflects the content, and the discussion stays focused on the topic. The sources cited in the description are relevant and credible, including the essay itself and related resources.

194 words

Title / Content Match

The title accurately reflects the core topic of the episode, which is the mechanisms for data centers to pay for grid access and infrastructure costs.

Quality & Reliability

8/10

The discussion is grounded in a peer-reviewed essay by Travis Kavulla, an experienced energy regulator and policy expert. The conversation references specific studies and regulatory cases, but relies heavily on expert opinion and lacks empirical data or direct citations within the dialogue.

Chapters

Cited Sources

How Will Data Centers Pay for Power? — The essay by Travis Kavulla that forms the basis of the discussion.
Travis Kavulla's Author Page — Provides background on the author and his other works.
Webber Energy Group — Joshua Rhodes' research group, mentioned as a resource.
Base Power Company — Travis Kavulla's current employer, mentioned in the introduction.
IdeaSmiths — A company associated with the podcast, listed as a resource.
Energy Capital Podcast — The podcast's official page, linked in the description.
Texas Energy & Power — The podcast's Substack, linked in the description.
PBS NewsHour: How data center power demand could help lower electricity prices — Discusses the Lawrence Berkeley National Lab study on load growth and rates, referenced by Kavulla.
FERC Rejects the Amazon–Talen Co-location Agreement at Susquehanna — Referenced in the description as a related case, though not discussed in detail in the episode.

Concurring Sources

Factors Influencing Recent Trends in Retail Electricity Prices — The Lawrence Berkeley National Lab study referenced by Kavulla, which finds that load growth can sometimes lower prices when there is headroom.

Dissenting Sources

PJM Market Monitor's Report on Capacity Auction Revenues — Kavulla mentions that the PJM market monitor argues data center load increases capacity auction revenues, which contrasts with the idea that load growth always lowers rates.

External References

Contribution & Novelties

The episode provides a novel perspective on data center grid access by proposing an ‘open season’ mechanism borrowed from gas pipeline regulation, which could be a more efficient alternative to current interconnection processes. It also critically evaluates existing mechanisms like TSAs and prepayments, highlighting their flaws and trade-offs. The discussion offers practical insights for policymakers and industry stakeholders.

Pour aller plus loin :

FERC’s Open Season for Natural Gas Pipelines — Explains the regulatory framework for open seasons in gas pipelines, providing context for the proposed mechanism.
ERCOT’s Large Load Interconnection Process — Details the current batch process for interconnecting large loads in Texas, relevant to the discussion of ERCOT.
Lawrence Berkeley National Laboratory Study on Data Center Load Growth — Provides empirical data on data center energy use and load growth, supporting the discussion of rate impacts.

138 words

Radar Profile

The radar profile shows high scores in information quantity, quality, and reliability, with a slightly lower technical level, indicating that the content is accessible yet substantive. The balanced scores suggest a well-rounded discussion suitable for informed audiences.

Reliability 8/10

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