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arxiv: 2508.06500 · v1 · submitted 2025-07-25 · 💱 q-fin.GN · econ.GN· q-fin.EC

Negative redispatch power for green hydrogen production: Game changer or lame duck? A German perspective

Jonathan Brandt , Astrid Bensmann , Richard Hanke-Rauschenbach This is my paper

Pith reviewed 2026-05-19 03:22 UTC · model grok-4.3

classification 💱 q-fin.GN econ.GNq-fin.EC
keywords redispatch marketsgreen hydrogenwater electrolysersrenewable energyproduction costsGermanymarket participationenergy transition
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The pith

Low prices in German redispatch markets can reduce green hydrogen production costs and encourage grid-beneficial electrolyser siting.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper investigates the impact of price levels in newly established German regional redispatch markets on the costs of producing green hydrogen from otherwise curtailed renewable power. It finds that low prices offer significant cost savings that may offset uncertainties in power availability and promote electrolyser locations that support the power system. High prices, however, could cancel out any competitive advantages for green hydrogen and reduce incentives for market involvement. This is relevant for understanding how redispatch mechanisms can aid the development of green hydrogen in line with European regulations.

Core claim

Using historic redispatch time series and different power purchase scenarios, the study demonstrates that low price levels in regional redispatch markets result in notable reductions in green hydrogen production costs. These reductions can counteract uncertainties regarding redispatch power availability and incentivize system-beneficial electrolyser siting. Conversely, the possibility of high price levels can eliminate production cost reductions that would otherwise enhance the competitiveness of German and European green hydrogen, thereby discouraging market participation.

What carries the argument

Analysis of historic redispatch time series evaluated under various power purchase price scenarios to quantify effects on green hydrogen production costs.

If this is right

  • Low redispatch prices may incentivize system-beneficial placement of electrolysers.
  • Utilizing downwards redispatched renewable energy can lower hydrogen production costs substantially.
  • High price levels in these markets may discourage electrolyser operators from participating.
  • Cost reductions from low prices could help maintain competitiveness of green hydrogen produced in Germany and Europe.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Setting appropriate price regulations in redispatch markets could maximize benefits for the hydrogen sector.
  • This mechanism might influence broader European strategies for renewable energy integration and hydrogen production.
  • Further analysis of real-world market data after implementation could validate these cost projections.

Load-bearing premise

Electrolysers are allowed to participate in regional redispatch markets and can legally use the downwards redispatched renewable energy to produce green hydrogen compliant with European law.

What would settle it

Collecting data on actual redispatch market clearing prices over an extended period and calculating the resulting hydrogen production costs to see if they show the expected reductions or lack thereof.

Figures

Figures reproduced from arXiv: 2508.06500 by Astrid Bensmann, Jonathan Brandt, Richard Hanke-Rauschenbach.

Figure 4
Figure 4. Figure 4: Optimisation results for green hydrogen production ex [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Optimisation results for green hydrogen production [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Optimisation results for green hydrogen productio [PITH_FULL_IMAGE:figures/full_fig_p009_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Optimisation results for green hydrogen production [PITH_FULL_IMAGE:figures/full_fig_p010_7.png] view at source ↗
read the original abstract

Following years of controversial discussions about the risks of market-based redispatch, the German transmission network operators finally installed regional redispatch markets by the end of 2024. Since water electrolysers are eligible market participants, the otherwise downwards redispatched renewable energy can be used for green hydrogen production in compliance with European law. To show how different price levels in regional redispatch markets affect green hydrogen production cost and thus the incentive for electrolyser market participation, we use historic redispatch time series and evaluate various power purchase scenarios. Our results show that low price levels can lead to notable production cost reductions, potentially counteracting uncertainties in redispatch power availability and thus incentivising system-beneficial electrolyser siting. In contrast, the possibility of high price levels can nullify an increase in the competitiveness of German and European green hydrogen through production cost reductions and discourage market participation.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper examines the use of downwards redispatched renewable energy for green hydrogen production via water electrolysers in Germany's newly operational regional redispatch markets. It evaluates the effects of different redispatch price levels on hydrogen production costs and electrolyser participation incentives by applying historic redispatch time series to various power purchase scenarios. The central claims are that low price levels can produce notable cost reductions that incentivize system-beneficial siting while high price levels can eliminate competitiveness gains and discourage market participation.

Significance. If the quantitative results prove robust, the work could inform redispatch market design and hydrogen policy by showing how price levels affect the viability of using otherwise-curtailed renewables for green hydrogen. This would be relevant for German and European efforts to integrate electrolysers in a system-beneficial way and improve hydrogen competitiveness.

major comments (2)
  1. Abstract and Methods: The abstract states that historic redispatch time series and various power purchase scenarios were evaluated, yet provides no detail on model structure, data exclusion rules, uncertainty quantification, or validation against actual market outcomes, leaving the quantitative claims weakly supported.
  2. Data and Scenarios section: The central quantitative claim—that low redispatch price levels yield notable production-cost reductions while high levels nullify competitiveness gains—rests on evaluating scenarios against historic redispatch time series. Because the regional redispatch markets only became operational at the end of 2024, those series reflect the prior non-market redispatch regime. Market clearing will change bidding behavior, redispatch volumes, geographic distribution, and realized price levels, so the availability and cost assumptions fed into the electrolyser production-cost calculations may not hold under the new mechanism.
minor comments (1)
  1. Abstract: The weakest assumption—that water electrolysers are eligible market participants and that using downwards redispatched renewable energy for green hydrogen is compliant with European law—should be supported by explicit regulatory references rather than stated as given.

Simulated Author's Rebuttal

2 responses · 1 unresolved

We thank the referee for their constructive comments, which help clarify the scope and limitations of our analysis. We address each major comment below and indicate the revisions we will make to improve the manuscript.

read point-by-point responses

  1. Referee: Abstract and Methods: The abstract states that historic redispatch time series and various power purchase scenarios were evaluated, yet provides no detail on model structure, data exclusion rules, uncertainty quantification, or validation against actual market outcomes, leaving the quantitative claims weakly supported.

    Authors: We agree that additional methodological transparency is needed to strengthen support for the quantitative results. In the revised version, we will expand the Methods section to explicitly describe the electrolyser production-cost model structure, including how redispatch power is integrated into the power purchase scenarios and the formulas used for levelized cost of hydrogen calculations. We will also detail the data exclusion rules applied to the historic redispatch time series (e.g., removal of periods with incomplete geographic or temporal coverage). For uncertainty quantification, we will add a dedicated sensitivity analysis varying redispatch availability, price levels, and electrolyser efficiency parameters. Regarding validation, we will include a comparison of modeled redispatch volumes and locations against published historical non-market redispatch statistics from the transmission system operators to demonstrate consistency with observed patterns. revision: yes

  2. Referee: Data and Scenarios section: The central quantitative claim—that low redispatch price levels yield notable production-cost reductions while high levels nullify competitiveness gains—rests on evaluating scenarios against historic redispatch time series. Because the regional redispatch markets only became operational at the end of 2024, those series reflect the prior non-market redispatch regime. Market clearing will change bidding behavior, redispatch volumes, geographic distribution, and realized price levels, so the availability and cost assumptions fed into the electrolyser production-cost calculations may not hold under the new mechanism.

    Authors: We acknowledge that the historic time series predate the market-based regime and therefore cannot fully capture post-2024 changes in bidding behavior or price formation. The analysis is intended as a prospective evaluation of how different price levels could affect hydrogen costs using the best available data at the time of writing. In the revision, we will add a new subsection in the Discussion that explicitly discusses potential differences under market clearing, including possible reductions in redispatch volumes due to more efficient dispatch, shifts in geographic distribution, and the range of realized prices. We will qualify our central claims to emphasize that the results illustrate the sensitivity to price levels rather than predict exact outcomes, while maintaining that the directional finding (low prices enable cost reductions and system-beneficial siting; high prices erode advantages) provides relevant guidance for market design even under these data constraints. revision: partial

standing simulated objections not resolved
  • Direct validation against realized outcomes from the operational regional redispatch markets cannot be performed, as these markets only became active at the end of 2024 and sufficient post-implementation data for robust comparison are not yet available.

Circularity Check

0 steps flagged

No significant circularity; analysis rests on external historic data and direct scenario evaluation

full rationale

The paper derives its quantitative results on production-cost reductions by feeding external historic redispatch time series into scenario-based power-purchase calculations for electrolysers. These inputs are independent data sources, not parameters fitted within the paper or defined in terms of the target outputs. No equations, uniqueness theorems, or self-citations are invoked to force the reported cost impacts or siting incentives; the claims emerge as direct numerical consequences of the chosen scenarios applied to the time series. The derivation chain is therefore self-contained against external benchmarks and does not reduce to any of the enumerated circular patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The analysis rests on the domain assumption that electrolysers can participate in redispatch markets and on the availability of historic redispatch time series; no free parameters or invented entities are described in the abstract.

axioms (1)
  • domain assumption Water electrolysers are eligible market participants in regional redispatch markets and usage complies with European law for green hydrogen.
    Explicitly invoked in the abstract as the premise enabling the market-participation analysis.

pith-pipeline@v0.9.0 · 5690 in / 1290 out tokens · 49788 ms · 2026-05-19T03:22:15.098939+00:00 · methodology

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Reference graph

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