Martin Kittel
@kittelmartin.bsky.social
Energy economist at Transformation of the Energy Economy at @diwberlin.bsky.social | power sector modeling | variability issues of renewables | PhD candidate at TU Berlin
🔗 Also explore our open-access IOP Publishing study on how to quantify #Dunkelflaute events: lnkd.in/eM2AD8fP
#renewableenergy #dunkelflauten #energytransition #vredroughts… | Martin Kittel
⚠ Discussions around variable #RenewableEnergy (VRE) shortage, often labeled #Dunkelflauten, can sway public opinion against the #EnergyTransition ⚠
➡ But can we bring clarity to this debate? Absolu...
lnkd.in
May 27, 2025 at 1:12 PM
🔗 Also explore our open-access IOP Publishing study on how to quantify #Dunkelflaute events: lnkd.in/eM2AD8fP
💡 Modeling implications (ii): #Dunkelflaute detection based on VRE availability helps identifying relevant weather years.
May 27, 2025 at 1:12 PM
💡 Modeling implications (ii): #Dunkelflaute detection based on VRE availability helps identifying relevant weather years.
💡 Modeling implications (i): Model full winter periods (e.g. summer-to-summer) to capture long-lasting #Dunkelflaute events. Include multiple weather years, especially 1996/97. Note that the latter is missing from the climate-neutrality scenarios of #TYNDP.
May 27, 2025 at 1:12 PM
💡 Modeling implications (i): Model full winter periods (e.g. summer-to-summer) to capture long-lasting #Dunkelflaute events. Include multiple weather years, especially 1996/97. Note that the latter is missing from the climate-neutrality scenarios of #TYNDP.
💡 Policy implications (ii): Policymakers must therefore prioritize investments and should consider additional deployment incentives to ensure sufficient storage capacity for dealing with rare yet extreme #Dunkelflaute events.
May 27, 2025 at 1:12 PM
💡 Policy implications (ii): Policymakers must therefore prioritize investments and should consider additional deployment incentives to ensure sufficient storage capacity for dealing with rare yet extreme #Dunkelflaute events.
💡 Policy implications (i): European integration and firm capacity reduce LDS requirements but significant investment needs remain. Note that underground hydrogen storage projects have long lead times (5-12 years).
May 27, 2025 at 1:12 PM
💡 Policy implications (i): European integration and firm capacity reduce LDS requirements but significant investment needs remain. Note that underground hydrogen storage projects have long lead times (5-12 years).
▶ Policy-oriented, yet moderate levels of firm zero-emission capacity in Europe (e.g. nuclear) reduce LDS needs only to a limited extent. A Germany-only scenario confirms this even for very high nuclear capacity levels beyond those ever realized in Germany.
May 27, 2025 at 1:12 PM
▶ Policy-oriented, yet moderate levels of firm zero-emission capacity in Europe (e.g. nuclear) reduce LDS needs only to a limited extent. A Germany-only scenario confirms this even for very high nuclear capacity levels beyond those ever realized in Germany.
▶ The combined use of short-duration flexibility options and LDS for coping with extreme #Dunkelflaute events decreases the need for electrolyzer and battery storage discharging capacity, which minimizes system costs.
May 27, 2025 at 1:12 PM
▶ The combined use of short-duration flexibility options and LDS for coping with extreme #Dunkelflaute events decreases the need for electrolyzer and battery storage discharging capacity, which minimizes system costs.
▶ LDS is a no-regret flexibility option: Even in the extreme case of perfect interconnection across Europe, 159 TWh (3% of annual demand) is still needed.
May 27, 2025 at 1:12 PM
▶ LDS is a no-regret flexibility option: Even in the extreme case of perfect interconnection across Europe, 159 TWh (3% of annual demand) is still needed.
▶ LDS needs vary substantially across weather years: The highest storage capacity required in 1996/97 exceeds the next highest required to deal with #Dunkelflaute events in 1984/85 by 42%.
May 27, 2025 at 1:12 PM
▶ LDS needs vary substantially across weather years: The highest storage capacity required in 1996/97 exceeds the next highest required to deal with #Dunkelflaute events in 1984/85 by 42%.
▶ Geographical balancing helps mitigating #Dunkelflaute events, but significant LDS needs remain: Under policy-relevant interconnection assumptions, Europe would need 351 TWh (7% of annual demand) to cope with the worst event.
May 27, 2025 at 1:12 PM
▶ Geographical balancing helps mitigating #Dunkelflaute events, but significant LDS needs remain: Under policy-relevant interconnection assumptions, Europe would need 351 TWh (7% of annual demand) to cope with the worst event.
Key insights:
▶ #Dunkelflaute events drive LDS needs: Extreme events affecting multiple countries simultaneously - as occurred in the winter of 1996/97 (more info: lnkd.in/es6fwi7N) - define LDS sizing and operation.
▶ #Dunkelflaute events drive LDS needs: Extreme events affecting multiple countries simultaneously - as occurred in the winter of 1996/97 (more info: lnkd.in/es6fwi7N) - define LDS sizing and operation.
May 27, 2025 at 1:12 PM
Key insights:
▶ #Dunkelflaute events drive LDS needs: Extreme events affecting multiple countries simultaneously - as occurred in the winter of 1996/97 (more info: lnkd.in/es6fwi7N) - define LDS sizing and operation.
▶ #Dunkelflaute events drive LDS needs: Extreme events affecting multiple countries simultaneously - as occurred in the winter of 1996/97 (more info: lnkd.in/es6fwi7N) - define LDS sizing and operation.
In this study, @aroth.bsky.social, @wpschill.bsky.social, and I explore how to deal with prolonged low-availability periods in a renewable European energy system based historical weather patterns. Such periods are often referred to as #Dunkelflaute events or variable renewable energy (VRE) droughts.
May 27, 2025 at 1:12 PM
In this study, @aroth.bsky.social, @wpschill.bsky.social, and I explore how to deal with prolonged low-availability periods in a renewable European energy system based historical weather patterns. Such periods are often referred to as #Dunkelflaute events or variable renewable energy (VRE) droughts.
25/
- Avoid absolute thresholds, instead, scale thresholds relative to a time series’ mean for comparative analysis.
- Use multiple thresholds ranging from near-zero to the average availability to capture the full spectrum of drought events, from mild to very severe.
- Avoid absolute thresholds, instead, scale thresholds relative to a time series’ mean for comparative analysis.
- Use multiple thresholds ranging from near-zero to the average availability to capture the full spectrum of drought events, from mild to very severe.
June 26, 2024 at 3:12 PM
25/
- Avoid absolute thresholds, instead, scale thresholds relative to a time series’ mean for comparative analysis.
- Use multiple thresholds ranging from near-zero to the average availability to capture the full spectrum of drought events, from mild to very severe.
- Avoid absolute thresholds, instead, scale thresholds relative to a time series’ mean for comparative analysis.
- Use multiple thresholds ranging from near-zero to the average availability to capture the full spectrum of drought events, from mild to very severe.
24/
- Choose meaningful characteristics: duration for VRE droughts and duration & energy deficit for PRL events.
- Recommended algorithms: VRE drought identification via VMBT or SPA; SPA or adjusted SPA for PRL events.
- Choose meaningful characteristics: duration for VRE droughts and duration & energy deficit for PRL events.
- Recommended algorithms: VRE drought identification via VMBT or SPA; SPA or adjusted SPA for PRL events.
June 26, 2024 at 3:12 PM
24/
- Choose meaningful characteristics: duration for VRE droughts and duration & energy deficit for PRL events.
- Recommended algorithms: VRE drought identification via VMBT or SPA; SPA or adjusted SPA for PRL events.
- Choose meaningful characteristics: duration for VRE droughts and duration & energy deficit for PRL events.
- Recommended algorithms: VRE drought identification via VMBT or SPA; SPA or adjusted SPA for PRL events.
23/
- Ensure your algorithm identifies shortage unique events, avoids double-counting and overlap with adjacent events.
- It also should pool events that independently may not qualify as shortage events but are adjacent to periods of low availability or high residual load.
- Ensure your algorithm identifies shortage unique events, avoids double-counting and overlap with adjacent events.
- It also should pool events that independently may not qualify as shortage events but are adjacent to periods of low availability or high residual load.
June 26, 2024 at 3:12 PM
23/
- Ensure your algorithm identifies shortage unique events, avoids double-counting and overlap with adjacent events.
- It also should pool events that independently may not qualify as shortage events but are adjacent to periods of low availability or high residual load.
- Ensure your algorithm identifies shortage unique events, avoids double-counting and overlap with adjacent events.
- It also should pool events that independently may not qualify as shortage events but are adjacent to periods of low availability or high residual load.
22/ TL;DR: how (not) to analyze VRE shortage:
- Be open about the code and analyzed data.
- Clearly specify your method for transparency and accurate result interpretation.
- Identify shortage events with variable durations —avoid fixed-duration "drought windows".
- Be open about the code and analyzed data.
- Clearly specify your method for transparency and accurate result interpretation.
- Identify shortage events with variable durations —avoid fixed-duration "drought windows".
June 26, 2024 at 3:12 PM
22/ TL;DR: how (not) to analyze VRE shortage:
- Be open about the code and analyzed data.
- Clearly specify your method for transparency and accurate result interpretation.
- Identify shortage events with variable durations —avoid fixed-duration "drought windows".
- Be open about the code and analyzed data.
- Clearly specify your method for transparency and accurate result interpretation.
- Identify shortage events with variable durations —avoid fixed-duration "drought windows".
21/ VRE droughts or PRL analysis? Each has merits & drawbacks. Identifying VRE droughts typically involves fewer assumptions, offering conclusions with broader applicability. PRL events are more policy-oriented but less generalizable, requiring more assumptions and complex methods.
June 26, 2024 at 3:11 PM
21/ VRE droughts or PRL analysis? Each has merits & drawbacks. Identifying VRE droughts typically involves fewer assumptions, offering conclusions with broader applicability. PRL events are more policy-oriented but less generalizable, requiring more assumptions and complex methods.
20/ Important limitation: Insights from PRL event analysis are specific to the assumed VRE portfolio and load and cannot be generalized. Contextualization is essential, esp. for meaningful comparisons of study findings and when communicating with policymakers or the public.
June 26, 2024 at 3:11 PM
20/ Important limitation: Insights from PRL event analysis are specific to the assumed VRE portfolio and load and cannot be generalized. Contextualization is essential, esp. for meaningful comparisons of study findings and when communicating with policymakers or the public.
19/ Addressing critiques from the literature (oliverruhnau.bsky.social), we propose the adjusted SPA that accounts for efficiency losses from using flexibility options like long-duration storage during PRL events. This adjustment can substantially extend PRL event duration and recovery period.
Oliver Ruhnau (@oliverruhnau.bsky.social)
Assistant Professor for Energy Market Design @UniCologne | Reserach Scientist @EWI Energy Economics Institute | Previously Centre for Sustainability @HertieSchool
oliverruhnau.bsky.social
June 26, 2024 at 3:11 PM
19/ Addressing critiques from the literature (oliverruhnau.bsky.social), we propose the adjusted SPA that accounts for efficiency losses from using flexibility options like long-duration storage during PRL events. This adjustment can substantially extend PRL event duration and recovery period.
18/ Here, the SPA is particularly well-suited for detecting PRL events. A neat feature: it allows for identifying the recovery period, which is the time it takes to recover the energy deficit using the VRE surplus generated after the PRL event.
June 26, 2024 at 3:10 PM
18/ Here, the SPA is particularly well-suited for detecting PRL events. A neat feature: it allows for identifying the recovery period, which is the time it takes to recover the energy deficit using the VRE surplus generated after the PRL event.
17/ When detecting the mismatch of VRE availability with demand, no deliberate threshold is needed - it is simply zero (gray line). We again formalize, compare, and critically evaluate several algorithms that work analogously to those used in VRE drought identification.
June 26, 2024 at 3:10 PM
17/ When detecting the mismatch of VRE availability with demand, no deliberate threshold is needed - it is simply zero (gray line). We again formalize, compare, and critically evaluate several algorithms that work analogously to those used in VRE drought identification.
16/ Unlike VRE drought analysis, both duration and energy deficit are relevant in assessing PRL events. The energy deficit indicates the energy shortfall during such an event, directly relating to system flexibility needs, such as the required energy of long-duration storage.
June 26, 2024 at 3:10 PM
16/ Unlike VRE drought analysis, both duration and energy deficit are relevant in assessing PRL events. The energy deficit indicates the energy shortfall during such an event, directly relating to system flexibility needs, such as the required energy of long-duration storage.
15/ Let’s extend our analysis to #PositiveResidualLoadEvents (PRL), which capture compound high-demand and VRE drought events, indicating the need for firm capacity from thermal generators, or system flexibility provided by electricity storage, imports, or demand-side measures.
June 26, 2024 at 3:09 PM
15/ Let’s extend our analysis to #PositiveResidualLoadEvents (PRL), which capture compound high-demand and VRE drought events, indicating the need for firm capacity from thermal generators, or system flexibility provided by electricity storage, imports, or demand-side measures.