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Jacob Mays

@jacobmays.bsky.social

Assistant Professor, Cornell Civil and Environmental Engineering, working on energy systems and decision making under uncertainty. Tweeting in a personal capacity.

3,076 Followers  |  324 Following  |  50 Posts  |  Joined: 05.10.2023  |  2.4161

Latest posts by jacobmays.bsky.social on Bluesky

Our paper "Rethinking capacity market fundamentals," about several issues in accreditation and non-performance penalties in capacity markets, is now published in Energy Economics and is open access for the next 50 days at this link: authors.elsevier.com/c/1ldcmW3fd1...

19.08.2025 15:06 β€” πŸ‘ 6    πŸ” 3    πŸ’¬ 1    πŸ“Œ 0

Can you expand on this?

16.07.2025 05:39 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 1

If years left pre-tenure are greater than years of eligibility remaining, seems better to wait?

31.05.2025 22:42 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Due to the lower wholesale prices, seems like it would slightly increase the cost of other procurement. So the effect on the mix depends if you think the additional cost would change the quantity procured in those auctions.

29.05.2025 21:17 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Map of MISO reserve zones

Map of MISO reserve zones

I think the 6 GW is probably irrelevant in this case--need to know what was available specifically in zone 6 on this map. I agree that the system should be planned in a way that enables operation without both nuclear plants, but I think we'll need to wait for the MISO report to learn more.

28.05.2025 08:58 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Still accurate to say they β€œplayed a role,” since their absence almost certainly contributed to reserve shortage in that zone.

28.05.2025 00:06 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Do you have data on LCOE for balcony solar? Seems like it might be competitive.

07.05.2025 15:58 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0
This study investigates how algorithmic choices in power system operations affect the total compensation available to different technologies participating in wholesale electricity markets. We focus on systems that utilize capacity payments. The need for capacity payments arises due to the "missing money" problem, i.e., that prices in short-term markets for energy and ancillary services are suppressed below the level required to support resource adequacy. Capacity payments to different technologies are calibrated under the assumption that price suppression occurs only in instances of scarcity, such that market operators can restore theoretically efficient remuneration by tying capacity payments to estimates of production during scarcity events. However, the complexity of power system operations creates challenges with short-term price formation that can lead to price suppression in non-scarcity hours. Compensating for this form of price suppression through capacity payments results in inefficient remuneration overall. In simulations using data from the New York Independent System Operator, we show that current configurations can result in elevated payments to peaking power plants relative to technologies whose production is spread over more hours of the year (e.g., nuclear, wind, and hydropower). The results reinforce the case for price formation reforms that shift the composition of overall revenue in wholesale electricity markets away from capacity toward energy and ancillary services.

This study investigates how algorithmic choices in power system operations affect the total compensation available to different technologies participating in wholesale electricity markets. We focus on systems that utilize capacity payments. The need for capacity payments arises due to the "missing money" problem, i.e., that prices in short-term markets for energy and ancillary services are suppressed below the level required to support resource adequacy. Capacity payments to different technologies are calibrated under the assumption that price suppression occurs only in instances of scarcity, such that market operators can restore theoretically efficient remuneration by tying capacity payments to estimates of production during scarcity events. However, the complexity of power system operations creates challenges with short-term price formation that can lead to price suppression in non-scarcity hours. Compensating for this form of price suppression through capacity payments results in inefficient remuneration overall. In simulations using data from the New York Independent System Operator, we show that current configurations can result in elevated payments to peaking power plants relative to technologies whose production is spread over more hours of the year (e.g., nuclear, wind, and hydropower). The results reinforce the case for price formation reforms that shift the composition of overall revenue in wholesale electricity markets away from capacity toward energy and ancillary services.

The basic idea is summarized in the abstract here:

03.04.2025 18:01 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Operational Uncertainty and the Missing Money Problem This study investigates how algorithmic choices in power system operations affect the total compensation available to different technologies participating in wh

New working paper, "Operational Uncertainty and the Missing Money." Here we argue that competitive electricity markets probably overcompensate peaking resources relative to those whose production is spread over more hours of the year (e.g., nuclear and hydro) papers.ssrn.com/sol3/papers....

03.04.2025 18:01 β€” πŸ‘ 15    πŸ” 3    πŸ’¬ 2    πŸ“Œ 1

I think it makes sense for the dual to be zero if non-binding or the penalty if binding. If that doesn’t accurately reflect the nature of the penalty, could model piecewise constant or piecewise linear slacks to get a smoother price outcome.

23.01.2025 00:48 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Yep, the tax is embedded in the offers of emitting suppliers.

21.01.2025 22:10 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

What are they assuming the differences would be between "Public SMR" and "Private SMR"?

20.01.2025 18:59 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

I'm about to start a project on reserve deliverability, reading recommendations are welcome.

16.01.2025 20:00 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Cornell LSAMP Summer REU

We are recruiting for an undergraduate summer research opportunity in electricity market modeling, through Cornell's Office of Inclusive Excellence (sites.coecis.cornell.edu/lsampreu/). If you or someone you know wants to spend the summer in Ithaca and get into this area, check it out!

16.01.2025 10:12 β€” πŸ‘ 7    πŸ” 2    πŸ’¬ 0    πŸ“Œ 1
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Regional Transmission Organizations as Market Platforms I What's the origin story of wholesale power markets?

I'm starting off 2025, a year when I'll write a lot about the role of markets and innovation in enabling our future power systems, by writing a series about RTOs as wholesale market platforms. Part I: economic history. πŸ“‰πŸ“ˆ and πŸ”ŒπŸ’‘
knowledgeproblem.substack.com/p/regional-t...

09.01.2025 15:50 β€” πŸ‘ 14    πŸ” 3    πŸ’¬ 1    πŸ“Œ 0
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NYSERDA, Clean Path NY developers terminate contracts underpinning 175-mile transmission line Clean Path NY developer Forward Power says it β€œremain[s] committed to New York’s energy transition” despite the loss of the project’s renewable energy credit purchase and sale agreement.

Unfortunately we're having some trouble there as well: www.utilitydive.com/news/nyserda...

05.01.2025 14:20 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Framing it slightly differently, what’s the cost multiplier for a nuke (or anything, really) sited in downstate New York as opposed to, e.g., Georgia?

05.01.2025 00:14 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

But there are related modeling challenges that are not easy to address, e.g., fuel inventory for dual-fuel units.

31.12.2024 16:42 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

I don't think anyone explicitly separates fuel delivery issues from other causes of generator unavailability. With decent methodology (e.g. PJM after recent reforms) it gets incorporated to the extent it shows up in historical data.

31.12.2024 16:41 β€” πŸ‘ 7    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Agreed that it's hard to argue with in principle, but I am not familiar enough with the details of implementation to say how effective they have been in practice.

23.12.2024 11:26 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Right--@electronecon.bsky.social is referring to U.S. utilities with fuel adjustment clauses that shield the utility from fuel price volatility, necessitating regulatory intervention if you want to try to restore better incentives for hedging.

23.12.2024 09:24 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Hedging and tail risk in electricity markets One of the persistent concerns in scarcity-based electricity market designs is that markets for long-term contracts are highly illiquid or β€˜missing’. …

πŸ”ŒπŸ’‘ Our new study led by @fnbillimoria.bsky.social, "Hedging and tail risk in electricity markets," is now out in Energy Economics. 50-day access link: www.sciencedirect.com/science/arti...

22.12.2024 10:53 β€” πŸ‘ 27    πŸ” 7    πŸ’¬ 0    πŸ“Œ 0
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Nationally, winter grid operations vary from summer

While summer risk tends to be concentrated in the evening hours, winter risk is bimodal, split between evening and morning across a wider range of hours.

#energysky πŸ”ŒπŸ’‘

20.12.2024 15:51 β€” πŸ‘ 22    πŸ” 8    πŸ’¬ 1    πŸ“Œ 2

Would be curious to discuss this more. Not clear to me if storage optimization issues should make us more confident about the need for energy-only markets or less confident about their viability.

20.12.2024 08:17 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Does Choice of Power Flow Representation Matter in Transmission Expansion Optimization? A Quantitative Comparison for a Large-Scale Test System Power transmission network reinforcements must be carefully evaluated to ensure economic, secure, and reliable delivery of electricity. Transmission expansion planning (TEP) models, which seek to opti...

Recent progress on the first! ieeexplore.ieee.org/abstract/doc...

18.12.2024 15:07 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Thanks, much appreciated!

18.12.2024 14:35 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Even the best ISO/TSO models are simple compared to the real complexity of the problem, I think. Here's how we put it in a recent paper.

18.12.2024 14:00 β€” πŸ‘ 7    πŸ” 0    πŸ’¬ 2    πŸ“Œ 0

I guess it depends on what you mean by Big Energy Modeling?

12.12.2024 21:32 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Surely there’s a sociologist or systems engineer or someone who has written a more general account of how stuff like this happens, right?

12.12.2024 16:25 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

@jacobmays is following 20 prominent accounts