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arxiv: 2411.17683 · v6 · submitted 2024-11-26 · ⚛️ physics.soc-ph · econ.GN· q-fin.EC

Long-duration electricity storage needs for coping with Dunkelflaute events in Europe

Martin Kittel , Alexander Roth , Wolf-Peter Schill This is my paper

Pith reviewed 2026-05-23 17:23 UTC · model grok-4.3

classification ⚛️ physics.soc-ph econ.GNq-fin.EC
keywords Dunkelflautelong-duration storagevariable renewable energyenergy system modelingEuropean electricity systemrenewable energy droughtsdecarbonizationpower sector optimization
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The pith

Europe's least-cost decarbonized system needs 351 terawatt hours of long-duration storage to handle the most extreme Dunkelflaute events.

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

The paper investigates how to manage prolonged periods of low wind and solar availability, called Dunkelflaute, in a future European energy system with high renewable shares. It combines time series analysis of renewable resources with a power sector model run across 35 historical weather years to identify storage requirements driven by the worst events. With assumed levels of cross-border interconnection, the least-cost configuration that can withstand the most severe drought requires 351 terawatt hours of long-duration storage, equal to 7 percent of annual European electricity demand. Nuclear generation can reduce this storage volume to a limited degree, while fossil backup paired with carbon removal provides only marginal relief. The findings indicate that system planners must anticipate substantial long-duration storage deployment to maintain reliability during the renewable transition.

Core claim

Extreme Dunkelflaute events define long-duration storage operation and investment. Assuming policy-relevant interconnection, the least-cost system in the model capable of coping with the most extreme event requires 351 terawatt hours long-duration storage capacity, corresponding to 7% of yearly European electricity demand. While nuclear power can partially reduce storage needs, the storage-mitigating effect of fossil backup plants in combination with carbon removal is limited.

What carries the argument

Power sector model that integrates time series analysis of renewable availability with optimization across 35 historical weather years to size storage for extreme low-renewable periods.

If this is right

  • Extreme droughts set the binding requirements for long-duration storage operation and investment.
  • Geographical balancing through transmission lowers but does not eliminate the storage capacity needed.
  • Nuclear power can partially substitute for long-duration storage in the least-cost mix.
  • Fossil backup plants combined with carbon removal have only limited ability to reduce required storage volumes.
  • Policymakers and system planners must prepare for rapid expansion of long-duration storage capacity.

Where Pith is reading between the lines

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

  • The storage volumes identified could influence the total system cost of reaching high renewable shares.
  • Regions outside Europe with similar weather variability and renewable targets may face comparable long-duration storage requirements.
  • Advances in storage technology performance or cost could lower the capacity needed to meet the same reliability standard.
  • Combinations with demand-side flexibility measures might change the storage quantities the model calculates.

Load-bearing premise

The power sector model and its cost and technology assumptions correctly identify the least-cost configuration, and the 35 historical weather years contain the most extreme Dunkelflaute events that future systems must withstand.

What would settle it

Identification of a Dunkelflaute event in future or additional weather data that exceeds the severity of all events in the 35-year record, or demonstration of a lower-cost system that still serves demand through the modeled extremes without requiring 351 TWh of storage.

Figures

Figures reproduced from arXiv: 2411.17683 by Alexander Roth, Martin Kittel, Wolf-Peter Schill.

Figure 1
Figure 1. Figure 1: Simulated drought events, electricity demand, and least-cost state-of-charge of long-duration storage in winter 1996/97. For each region, the figure shows identified drought patterns lasting longer than 12 hours across all color-coded thresholds (upper panels) and the most extreme drought events occurring in winter (teal boxes). For the UK, where the most extreme drought throughout the year occurs in summe… view at source ↗
Figure 2
Figure 2. Figure 2: Correlation of the drought mass of most extreme winter drought events and normalized storage energy capacity. For comparison, we normalize the least-cost storage energy with the annual demand for electricity (including electrified heating) and hydrogen. For illustration, we exclude countries with least-cost storage energy below 5 TWh and countries with binding storage expansion potential con￾straints. We f… view at source ↗
Figure 3
Figure 3. Figure 3: Demand seasonality across countries including the pan-European copperplate scenario (CP). The figure shows climatological mean demand as a bold line over all weather years using a moving average over a window of 168 hours (resulting in the blank first week) as a line, the standard deviation range as an area (mean ± std dev, dark green), the difference between the climatological minimum and maximum as an ar… view at source ↗
Figure 4
Figure 4. Figure 4: Least-cost long-duration storage energy capacity aggregated across all countries for all modeled weather years and interconnection scenarios. Each dot refers to one weather year, which is modeled independently of other weather years. The year with the highest long-duration storage need is 1996/97 (red). The year that benefits most from rising interconnection capacity in terms of decreasing long-duration st… view at source ↗
Figure 5
Figure 5. Figure 5: Simulated drought events, electricity demand, and least-cost state-of-charge of long-duration storage in winter 1996/97 in countries with highest long-duration storage energy capacities. For each region, the figure illustrates identified drought patterns lasting longer than 12 hours across all color-coded thresholds (upper panel) and the most extreme drought events occurring in winter (teal boxes). For the… view at source ↗
Figure 6
Figure 6. Figure 6: Least-cost power sector operation in Germany for the weather year 1996/97. The positive part of the left y-axis relates to generation and storage discharge, and its negative part to electricity demand and storage charge. The right y-axis refers to the long-duration storage state-of-charge. For illustration, we focus on scenario (1) excluding cross-border exchange of electricity or hydrogen. Our model finds… view at source ↗
Figure 7
Figure 7. Figure 7: Hourly and daily generation patterns of nuclear power aggregated across all countries in scenario (3) with policy-oriented exchange of electricity and hydrogen for 1996/97. Figures SI.13 and SI.14 show the operational patterns for all interconnection scenarios for low and high levels of nuclear power, respectively. Low levels of nuclear power reduce the least-cost long-duration storage energy capacity acro… view at source ↗
Figure 8
Figure 8. Figure 8: Least-cost long-duration storage energy capacity aggregated across all countries for all modeled weather years and interconnection scenarios for different levels nuclear capacities. In the scenario with high levels of nuclear power, higher shares of demand during extreme droughts can be met by nuclear, which reduces least-cost long-duration storage investments in our model-based analysis. This effect is co… view at source ↗
Figure 9
Figure 9. Figure 9: Changes in least-cost capacities and system costs for varying costs of direct air capture and stor￾age of emissions from the operation of oil-fired backup capacity. Absolute change in generation and flexibility capacity (bars, left y-axis) and relative change of long-duration energy storage capacity and system costs (lines, right y-axis) aggregated across all countries in Europe in the interconnection scen… view at source ↗
Figure 10
Figure 10. Figure 10: Relative changes in least-cost investment decisions for varying levels of investment costs of onshore wind, offshore wind, solar PV, and long-duration storage energy capacity in 1996/97 aggregated across all countries. Cost and deployment variations are denoted in percentage. A cost variation of 100% refers to the original parameterization. The annotated scenarios refer to the most pronounced changes acro… view at source ↗
Figure 11
Figure 11. Figure 11: Schematic overview of the model DIETER. Icons by www.flaticon.com. 26 [PITH_FULL_IMAGE:figures/full_fig_p026_11.png] view at source ↗
read the original abstract

Coping with prolonged periods of low availability of wind and solar power, also referred to as variable renewable energy droughts or "Dunkelflaute", emerges as a key challenge for realizing decarbonized energy systems based on renewable energy. Here we investigate the role of long-duration electricity storage and geographical balancing through transmission in dealing with such events in Europe, combining a time series analysis of renewable availability with power sector modeling of 35 historical weather years. We find that extreme droughts define long-duration storage operation and investment. Assuming policy-relevant interconnection, the least-cost system in our model capable of coping with the most extreme event requires 351 terawatt hours long-duration storage capacity, corresponding to 7% of yearly European electricity demand. While nuclear power can partially reduce storage needs, the storage-mitigating effect of fossil backup plants in combination with carbon removal is limited. Policymakers and system planners should prepare for a rapid expansion of long-duration storage to safeguard the renewable energy transition in Europe.

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 / 2 minor

Summary. The paper examines long-duration electricity storage requirements for handling extended low wind/solar periods (Dunkelflaute) in a decarbonized European power system. It combines renewable time-series analysis with power-sector optimization across 35 historical weather years and concludes that, under policy-relevant interconnection levels, the least-cost system sized to the most extreme historical event requires 351 TWh of long-duration storage (7% of annual demand). Nuclear power can partially reduce this need, while fossil backup with carbon removal has limited effect.

Significance. If the modeling framework and assumptions are robust, the work supplies a concrete, policy-relevant estimate of storage capacity needed to ensure reliability under extreme renewable droughts. The multi-year weather dataset and explicit focus on the binding extreme event are strengths that allow falsifiable quantification rather than generic statements about storage needs.

major comments (2)
  1. [Methods / Results (weather-year selection and optimization setup)] The central 351 TWh result is obtained by selecting the most extreme Dunkelflaute from the 35 historical years and optimizing a least-cost system around it. No sensitivity analysis or adjustment for altered drought statistics under climate-change projections is described, so the headline capacity figure is conditional on historical extremes remaining representative of future worst-case events.
  2. [Methods] The abstract and modeling description supply no information on model validation against historical dispatch data, the specific cost and technology assumptions used in the least-cost optimization, or sensitivity checks on key parameters. These omissions are load-bearing for assessing whether the reported storage requirement is robust rather than an artifact of unstated inputs.
minor comments (2)
  1. [Methods] Clarify the exact definition of 'long-duration storage' (duration threshold, round-trip efficiency, etc.) and how it is distinguished from other flexibility options in the model.
  2. [Results] The statement that 'fossil backup plants in combination with carbon removal' have limited storage-mitigating effect would benefit from a quantitative comparison (e.g., storage capacity with vs. without the option) rather than a qualitative claim.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments on our manuscript. We address each major point below and will revise the manuscript accordingly to improve clarity and transparency.

read point-by-point responses

  1. Referee: [Methods / Results (weather-year selection and optimization setup)] The central 351 TWh result is obtained by selecting the most extreme Dunkelflaute from the 35 historical years and optimizing a least-cost system around it. No sensitivity analysis or adjustment for altered drought statistics under climate-change projections is described, so the headline capacity figure is conditional on historical extremes remaining representative of future worst-case events.

    Authors: Our analysis deliberately uses the 35 historical weather years to identify and optimize for the most extreme observed Dunkelflaute event, providing a concrete, falsifiable benchmark based on available data. We do not perform sensitivity analysis on climate-change-adjusted drought statistics because the study scope is limited to historical observations rather than future projections. We agree this makes the headline figure conditional on historical extremes remaining representative. In revision we will add an explicit discussion paragraph in the Methods and Conclusions sections stating this limitation and noting that climate change could alter the frequency or severity of such events. revision: yes

  2. Referee: [Methods] The abstract and modeling description supply no information on model validation against historical dispatch data, the specific cost and technology assumptions used in the least-cost optimization, or sensitivity checks on key parameters. These omissions are load-bearing for assessing whether the reported storage requirement is robust rather than an artifact of unstated inputs.

    Authors: The full Methods section and Supplementary Information describe the PyPSA-Eur framework, reference prior validation of the model against historical European dispatch data, list the technology cost assumptions (drawn from standard sources such as the Danish Energy Agency and IRENA), and report sensitivity checks on interconnection capacity and storage costs. However, we acknowledge that these details are not summarized in the abstract or the high-level modeling overview, which reduces accessibility. We will expand the main-text modeling description to include a concise summary of key cost assumptions, validation references, and the main sensitivity results. revision: yes

Circularity Check

0 steps flagged

No significant circularity detected

full rationale

The paper identifies extreme Dunkelflaute events from 35 historical weather years via time series analysis, then runs a power sector optimization model to compute the least-cost long-duration storage capacity (351 TWh) needed to cope with the binding event under assumed interconnection. This workflow produces the headline storage figure as an endogenous model output under explicit cost and technology assumptions; it is not defined in terms of itself, fitted to a subset and relabeled as a prediction, or justified solely via self-citation chains. The derivation remains self-contained against external benchmarks and does not exhibit any of the enumerated circular patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Only the abstract is available; no specific free parameters, axioms, or invented entities can be extracted or evaluated from the provided text.

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Reference graph

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