Measuring the Dunkelflaute: how (not) to analyze variable renewable energy shortage
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Abstract
As variable renewable energy (VRE) sources increasingly gain importance in global energy systems, there is a growing interest in understanding periods of VRE shortage (‘Dunkelflauten’). Defining, quantifying, and comparing such shortage events across different renewable generation technologies and locations presents a surprisingly intricate challenge. Various methodological approaches exist in different bodies of literature, which have been applied to single technologies in specific locations or technology portfolios across multiple regions. We provide an overview of various methods for quantifying VRE shortage, focusing either on supply from variable renewables or its mismatch with electricity demand. We explain and critically discuss the merits and challenges of different approaches for defining and identifying shortage events and propose further methodological improvements for more accurate shortage determination. Additionally, we elaborate on comparability requirements for multi-technological and multi-regional energy shortage analysis. In doing so, we aim to contribute to unifying disparate methodologies, harmonizing terminologies, and providing guidance for future research.
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Coping with prolonged periods of low availability of wind and solar power (Dunkelflaute) is a key challenge for realizing decarbonized energy systems based on renewable energy.
“Of particular concern are long-lasting extreme weather events, also referred to as “VRE droughts” or “Dunkelflaute”, which are characterized by an overall very low availability of VRE sources21–23.”
From Long-duration electricity storage needs for coping with Dunkelflaute events in Europe (2026) · cites this paper as [22]
VREDA has been designed to implement good practices of multi-threshold drought identification and has been applied before to characterize drought patterns in Europe.
“VREDA has been designed to implement good practices of multi-threshold drought identification22 and has been applied before to characterize drought patterns in Europe33.”
From Long-duration electricity storage needs for coping with Dunkelflaute events in Europe (2026) · cites this paper as [22]
The iterative procedure of VMBT overcomes shortcomings of previous research.
“The iterative procedure of VMBT overcomes shortcomings of previous research22.”
From Long-duration electricity storage needs for coping with Dunkelflaute events in Europe (2026) · cites this paper as [22]
There is no consensus on the definition of variable renewable energy droughts.
“Finally, there is no consensus on the definition of variable renewable energy droughts22.”
From Long-duration electricity storage needs for coping with Dunkelflaute events in Europe (2026) · cites this paper as [22]
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- K. Calvin, D. Dasgupta, G. Krinner, A. Mukherji, P. W. Thorne, C. Trisos, J. Romero, P. Al- dunce, K. Barrett, G. Blanco, W. W. Cheung, S. Connors, F. Denton, A. Diongue-Niang, D. Dod- man, M. Garschagen, O. Geden, B. Hayward, C. Jones, F. Jotzo, T. Krug, R. Lasco, Y.-Y. Lee, V. Masson-Delmotte, M. Meinshausen, K. Mintenbeck, A. Mokssit, F. E. Otto, M. Pathak, A. Pi- rani, E. Poloczanska, H.-O. Prtner, A. Revi, D. C. Roberts, J. Roy, A. C. Ruane, J. Skea, P. R. Shukla, R. Slade, A. Slangen, Y. Sokona, A. A. Srensson, M. Tignor, D. Van Vuuren, Y.-M. Wei, H. Win- kler, P. Zhai, Z. Zommers, J.-C. Hourcade, F. X. Johnson, S. Pachauri, N. P. Simpson, C. Singh, A. Thomas, E. Totin, P. Arias, M. Bustamante, I. Elgizouli, G. Flato, M. Howden, C. Mndez-Vallejo, J. J. Pereira, R. Pichs-Madruga, S. K. Rose, Y. Saheb, R. Snchez Rodrguez, D. rge Vorsatz, C. Xiao, N. Yassaa, A. Alegra, K. Armour, B. Bednar-Friedl, K. Blok, G. Ciss, F. Dentener, S. Eriksen, E. Fischer, G. Garner, C. Guivarch, M. Haasnoot, G. Hansen, M. Hauser, E. Hawkins, T. Her- mans, R. Kopp, N. Leprince-Ringuet, J. Lewis, D. Ley, C. Ludden, L. Niamir, Z. Nicholls, S. Some, S. Szopa, B. Trewin, K.-I. Van Der Wijst, G. Winter, M. Witting, A. Birt, M. Ha, J. Romero, J. Kim, E. F. Haites, Y. Jung, R. Stavins, A. Birt, M. Ha, D. J. A. Orendain, L. Ignon, S. Park, Y. Park, A. Reisinger, D. Cammaramo, A. Fischlin, J. S. Fuglestvedt, G. Hansen, C. Ludden, V. Masson- Delmotte, J. R. Matthews, K. Mintenbeck, A. Pirani, E. Poloczanska, N. Leprince-Ringuet, C. Pan, IPCC, 2023: Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland., Tech. rep., Intergovernmental Panel on Climate Change (IPCC), edition: First (Jul. 2023). doi:10.59327/IPCC/AR6-9789291691647. URL https://www.ipcc.ch/report/ar6/syr/ · DOI · Paper page
- P. Denholm, M. Hand, Grid flexibility and storage required to achieve very high penetration of variable renewable electricity, Energy Policy 39 (3) (2011) 1817-1830. doi:10.1016/j.enpol.2011.01.019. URL https://linkinghub.elsevier.com/retrieve/pii/S0301421511000292 · DOI
- M. G. Rasmussen, G. B. Andresen, M. Greiner, Storage and balancing synergies in a fully or highly renewable pan-European power system, Energy Policy 51 (2012) 642-651. doi:10.1016/ j.enpol.2012.09.009. URL https://linkinghub.elsevier.com/retrieve/pii/S0301421512007677 · DOI
- D. Schlachtberger, T. Brown, S. Schramm, M. Greiner, The benefits of cooperation in a highly renew- able European electricity network, Energy 134 (2017) 469-481. doi:10.1016/j.energy.2017.06.004. URL https://linkinghub.elsevier.com/retrieve/pii/S0360544217309969 · DOI
- A. Roth, W.-P. Schill, Geographical balancing of wind power decreases storage needs in a 100% renewable European power sector, iScience 26 (7) (2023) 107074. doi:10.1016/j.isci.2023.107074. URL https://linkinghub.elsevier.com/retrieve/pii/S2589004223011513 · DOI · Paper page
- G. He, D. S. Mallapragada, A. Bose, C. F. Heuberger-Austin, E. Gener, Sector coupling via hydrogen to lower the cost of energy system decarbonization, Energy & Environmental Science 14 (9) (2021) 4635-4646. doi:10.1039/D1EE00627D. URL http://xlink.rsc.org/?DOI=D1EE00627D · DOI
- D. Kirchem, W.-P. Schill, Power sector effects of green hydrogen production in Germany, Energy Policy 182 (2023) 113738. doi:10.1016/j.enpol.2023.113738. URL https://linkinghub.elsevier.com/retrieve/pii/S0301421523003233 · DOI
- J. A. Dowling, K. Z. Rinaldi, T. H. Ruggles, S. J. Davis, M. Yuan, F. Tong, N. S. Lewis, K. Caldeira, Role of Long-Duration Energy Storage in Variable Renewable Electricity Systems, Joule 4 (9) (2020) 1907-1928. doi:10.1016/j.joule.2020.07.007. URL https://linkinghub.elsevier.com/retrieve/pii/S2542435120303251 · DOI · Paper page
- N. A. Sepulveda, J. D. Jenkins, A. Edington, D. S. Mallapragada, R. K. Lester, The design space for long-duration energy storage in decarbonized power systems, Nature Energy 6 (5) (2021) 506-516. doi:10.1038/s41560-021-00796-8. URL https://www.nature.com/articles/s41560-021-00796-8 · DOI · Paper page
- P. T. Brown, D. J. Farnham, K. Caldeira, Meteorology and climatology of historical weekly wind and solar power resource droughts over western North America in ERA5, SN Applied Sciences 3 (10) (2021) 814. doi:10.1007/s42452-021-04794-z. URL https://link.springer.com/10.1007/s42452-021-04794-z · DOI
- P. Potisomporn, T. A. Adcock, C. R. Vogel, Extreme value analysis of wind droughts in Great Britain, Renewable Energy 221 (2024) 119847. doi:10.1016/j.renene.2023.119847. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148123017627 · DOI
- K. Z. Rinaldi, J. A. Dowling, T. H. Ruggles, K. Caldeira, N. S. Lewis, Wind and Solar Re- source Droughts in California Highlight the Benefits of Long-Term Storage and Integration with the Western Interconnect, Environmental Science & Technology 55 (9) (2021) 6214-6226. doi: 10.1021/acs.est.0c07848. URL https://pubs.acs.org/doi/10.1021/acs.est.0c07848 · DOI
- D. Raynaud, B. Hingray, B. Franois, J. Creutin, Energy droughts from variable renewable energy sources in European climates, Renewable Energy 125 (2018) 578-589. doi:10.1016/ j.renene.2018.02.130. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148118302829 · DOI · Paper page
- E. G. A. Antonini, E. Virgez, S. Ashfaq, L. Duan, T. H. Ruggles, K. Caldeira, Identification of reliable locations for wind power generation through a global analysis of wind droughts, Communications Earth & Environment 5 (1) (2024) 103. doi:10.1038/s43247-024-01260-7. URL https://www.nature.com/articles/s43247-024-01260-7 · DOI
- L. P. Stoop, K. Van Der Wiel, W. Zappa, A. Haverkamp, A. J. Feelders, M. Van Den Broek, The climatological renewable energy deviation index (credi), Environmental Research Letters 19 (3) (2024) 034021. doi:10.1088/1748-9326/ad27b9. URL https://iopscience.iop.org/article/10.1088/1748-9326/ad27b9 · DOI
- O. Ruhnau, S. Qvist, Storage requirements in a 100% renewable electricity system: extreme events and inter-annual variability, Environmental Research Letters 17 (4) (2022) 044018. doi:10.1088/ 1748-9326/ac4dc8. URL https://iopscience.iop.org/article/10.1088/1748-9326/ac4dc8 · DOI
- K. van der Wiel, H. C. Bloomfield, R. W. Lee, L. P. Stoop, R. Blackport, J. A. Screen, F. M. Selten, The influence of weather regimes on European renewable energy production and demand, Environmental Research Letters 14 (9) (2019) 094010. doi:10.1088/1748-9326/ab38d3. URL https://iopscience.iop.org/article/10.1088/1748-9326/ab38d3 · DOI
- A. Grochowicz, K. Van Greevenbroek, H. C. Bloomfield, Using power system modelling outputs to identify weather-induced extreme events in highly renewable systems, Environmental Research Letters (Mar. 2024). doi:10.1088/1748-9326/ad374a. URL https://iopscience.iop.org/article/10.1088/1748-9326/ad374a · DOI
- Y. Su, J. D. Kern, P. M. Reed, G. W. Characklis, Compound hydrometeorological extremes across multiple timescales drive volatility in California electricity market prices and emissions, Applied Energy 276 (2020) 115541. doi:10.1016/j.apenergy.2020.115541. URL https://linkinghub.elsevier.com/retrieve/pii/S0306261920310539 · DOI
- K. Z. Akdemir, J. D. Kern, J. Lamontagne, Assessing risks for New England's wholesale electricity market from wind power losses during extreme winter storms, Energy 251 (2022) 123886. doi: 10.1016/j.energy.2022.123886. URL https://linkinghub.elsevier.com/retrieve/pii/S0360544222007897 · DOI
- D. Cannon, D. Brayshaw, J. Methven, P. Coker, D. Lenaghan, Using reanalysis data to quantify extreme wind power generation statistics: A 33 year case study in Great Britain, Renewable Energy 75 (2015) 767-778. doi:10.1016/j.renene.2014.10.024. URL https://linkinghub.elsevier.com/retrieve/pii/S096014811400651X · DOI · Paper page
- P. Potisomporn, C. R. Vogel, Spatial and temporal variability characteristics of offshore wind energy in the United Kingdom, Wind Energy 25 (3) (2022) 537-552. doi:10.1002/we.2685. URL https://onlinelibrary.wiley.com/doi/10.1002/we.2685 · DOI
- P. Potisomporn, T. A. Adcock, C. R. Vogel, Evaluating ERA5 reanalysis predictions of low wind speed events around the UK, Energy Reports 10 (2023) 4781-4790. doi:10.1016/j.egyr.2023.11.035. URL https://linkinghub.elsevier.com/retrieve/pii/S2352484723015603 · DOI
- V. Yevyevich, An Objective Approach to Definition and Investigations of Continental Hydrologic Droughts, Ph.D. thesis, Colorado State University (1967). URL https://api.mountainscholar.org/server/api/core/bitstreams/5f26da05-d712-49bc- acc0-397ec0f70fef/content
- S. Abdelaziz, S. N. Sparrow, W. Hua, D. C. Wallom, Assessing long-term future climate change impacts on extreme low wind events for offshore wind turbines in the UK exclusive economic zone, Applied Energy 354 (2024) 122218. doi:10.1016/j.apenergy.2023.122218. URL https://linkinghub.elsevier.com/retrieve/pii/S0306261923015829 · DOI
- P. G. Leahy, E. J. McKeogh, Persistence of low wind speed conditions and implications for wind power variability: Persistence of low wind speeds, Wind Energy 16 (4) (2013) 575-586. doi:10.1002/ we.1509. URL https://onlinelibrary.wiley.com/doi/10.1002/we.1509 · DOI
- P. Patlakas, G. Galanis, D. Diamantis, G. Kallos, Low wind speed events: persistence and frequency, Wind Energy 20 (6) (2017) 1033-1047. doi:10.1002/we.2078. URL https://onlinelibrary.wiley.com/doi/10.1002/we.2078 · DOI
- N. Ohlendorf, W.-P. Schill, Frequency and duration of low-wind-power events in Germany, Environ- mental Research Letters 15 (8) (2020) 084045. doi:10.1088/1748-9326/ab91e9. URL https://iopscience.iop.org/article/10.1088/1748-9326/ab91e9 · DOI · Paper page
- A. Gangopadhyay, A. Seshadri, N. Sparks, R. Toumi, The role of wind-solar hybrid plants in mitigating renewable energy-droughts, Renewable Energy 194 (2022) 926-937. doi:10.1016/ j.renene.2022.05.122. URL https://linkinghub.elsevier.com/retrieve/pii/S096014812200773X · DOI
- A. Kies, B. U. Schyska, M. Bilousova, O. El Sayed, J. Jurasz, H. Stoecker, Critical review of renew- able generation datasets and their implications for European power system models, Renewable and Sustainable Energy Reviews 152 (2021) 111614. doi:10.1016/j.rser.2021.111614. URL https://linkinghub.elsevier.com/retrieve/pii/S136403212100890X · DOI
- J. Kapica, J. Jurasz, F. A. Canales, H. Bloomfield, M. Guezgouz, M. De Felice, K. Zbigniew, The potential impact of climate change on European renewable energy droughts, Renewable and Sustain- able Energy Reviews 189 (2024) 114011. doi:10.1016/j.rser.2023.114011. URL https://linkinghub.elsevier.com/retrieve/pii/S1364032123008699 · DOI
- J. Hu, V. Koning, T. Bosshard, R. Harmsen, W. Crijns-Graus, E. Worrell, M. Van Den Broek, Im- plications of a Paris-proof scenario for future supply of weather-dependent variable renewable energy in Europe, Advances in Applied Energy 10 (2023) 100134. doi:10.1016/j.adapen.2023.100134. URL https://linkinghub.elsevier.com/retrieve/pii/S2666792423000136 · DOI
- C. Breyer, D. Bogdanov, M. Ram, S. Khalili, E. Vartiainen, D. Moser, E. Romn Medina, G. Masson, A. Aghahosseini, T. N. O. Mensah, G. Lopez, M. Schmela, R. Rossi, W. Hemetsberger, A. JgerWal- dau, Reflecting the energy transition from a European perspective and in the global contextRelevance of solar photovoltaics benchmarking two ambitious scenarios, Progress in Photovoltaics: Research and Applications (2022) pip.3659doi:10.1002/pip.3659. URL https://onlinelibrary.wiley.com/doi/10.1002/pip.3659 · DOI
- F. Kaspar, M. Borsche, U. Pfeifroth, J. Trentmann, J. Drcke, P. Becker, A climatological assessment of balancing effects and shortfall risks of photovoltaics and wind energy in Germany and Europe, Advances in Science and Research 16 (2019) 119-128. doi:10.5194/asr-16-119-2019. URL https://asr.copernicus.org/articles/16/119/2019/ · DOI
- F. Mockert, C. M. Grams, T. Brown, F. Neumann, Meteorological conditions during periods of low wind speed and insolation in Germany: The role of weather regimes, Meteorological Applications 30 (4) (2023) e2141. doi:10.1002/met.2141. URL https://rmets.onlinelibrary.wiley.com/doi/10.1002/met.2141 · DOI
- M. J. Mayer, B. Bir, B. Szcs, A. Aszdi, Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning, Applied Energy 336 (2023) 120801. doi: 10.1016/j.apenergy.2023.120801. URL https://linkinghub.elsevier.com/retrieve/pii/S0306261923001654 · DOI
- M. Ohba, Y. Kanno, D. Nohara, Climatology of dark doldrums in Japan, Renewable and Sustainable Energy Reviews 155 (2022) 111927. doi:10.1016/j.rser.2021.111927. URL https://linkinghub.elsevier.com/retrieve/pii/S1364032121011928 · DOI
- N. Otero, O. Martius, S. Allen, H. Bloomfield, B. Schaefli, A copula-based assessment of re- newable energy droughts across Europe, Renewable Energy 201 (2022) 667-677. doi:10.1016/ j.renene.2022.10.091. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148122015841 · DOI
- S. Allen, N. Otero, Standardised indices to monitor energy droughts, Renewable Energy 217 (2023) 119206. doi:10.1016/j.renene.2023.119206. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148123011217 · DOI
- C. Bracken, N. Voisin, C. D. Burleyson, A. M. Campbell, Z. J. Hou, D. Broman, Standardized benchmark of historical compound wind and solar energy droughts across the Continental United States, Renewable Energy 220 (2024) 119550. doi:10.1016/j.renene.2023.119550. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148123014659 · DOI
- J. Wessel, J. D. Kern, N. Voisin, K. Oikonomou, J. Haas, Technology Pathways Could Help Drive the U.S. West Coast Grid's Exposure to Hydrometeorological Uncertainty, Earth's Future 10 (1) (2022) e2021EF002187. doi:10.1029/2021EF002187. URL https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EF002187 · DOI
- N. Otero, O. Martius, S. Allen, H. Bloomfield, B. Schaefli, Characterizing renewable energy compound events across Europe using a logistic regressionbased approach, Meteorological Applications 29 (5) (2022) e2089. doi:10.1002/met.2089. URL https://rmets.onlinelibrary.wiley.com/doi/10.1002/met.2089 · DOI
- B. Franois, H. Puspitarini, E. Volpi, M. Borga, Statistical analysis of electricity supply deficits from renewable energy sources across an Alpine transect, Renewable Energy 201 (2022) 1200-1212. doi: 10.1016/j.renene.2022.10.125. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148122016275 · DOI
- N. Plain, B. Hingray, S. Mathy, Accounting for low solar resource days to size 100% solar microgrids power systems in Africa, Renewable Energy 131 (2019) 448-458. doi:10.1016/j.renene.2018.07.036. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148118308334 · DOI
- H. C. Bloomfield, P. L. M. Gonzalez, J. K. Lundquist, L. P. Stoop, J. Browell, R. Dargaville, M. De Fe- lice, K. Gruber, A. Hilbers, A. Kies, M. Panteli, H. E. Thornton, J. Wohland, M. Zeyringer, D. J. Brayshaw, The Importance of Weather and Climate to Energy Systems: A Workshop on Next Gener- ation Challenges in EnergyClimate Modeling, Bulletin of the American Meteorological Society 102 (1) (2021) E159-E167. doi:10.1175/BAMS-D-20-0256.1. URL https://journals.ametsoc.org/view/journals/bams/102/1/BAMS-D-20-0256.1.xml · DOI
- M. T. Craig, J. Wohland, L. P. Stoop, A. Kies, B. Pickering, H. C. Bloomfield, J. Browell, M. De Felice, C. J. Dent, A. Deroubaix, F. Frischmuth, P. L. Gonzalez, A. Grochowicz, K. Gruber, P. Hrtel, M. Kittel, L. Kotzur, I. Labuhn, J. K. Lundquist, N. Pflugradt, K. Van Der Wiel, M. Zeyringer, D. J. Brayshaw, Overcoming the disconnect between energy system and climate modeling, Joule 6 (7) (2022) 1405-1417. doi:10.1016/j.joule.2022.05.010. URL https://linkinghub.elsevier.com/retrieve/pii/S2542435122002379 · DOI
- E. Nuo, P. Maule, A. Hahmann, N. Cutululis, P. Srensen, I. Karagali, Simulation of transcontinental wind and solar PV generation time series, Renewable Energy 118 (2018) 425-436. doi:10.1016/ j.renene.2017.11.039. URL https://linkinghub.elsevier.com/retrieve/pii/S0960148117311400 · DOI
- E. Zelenhasi, A. Salvai, A method of streamflow drought analysis, Water Resources Research 23 (1) (1987) 156-168. doi:10.1029/WR023i001p00156. URL https://agupubs.onlinelibrary.wiley.com/doi/10.1029/WR023i001p00156 · DOI
- P. L. A. Guerrero-Salazar, V. M. Yevjevich, Analysis of drought characteristics by the theory of runs, Ph.D. thesis, Colorado State University, Colorado (1975).
- R. M. Vogel, J. R. Stedinger, Generalized storage-reliability-yield relationships, Journal of Hydrology 89 (3-4) (1987) 303-327. doi:10.1016/0022-1694(87)90184-3. URL https://linkinghub.elsevier.com/retrieve/pii/0022169487901843 · DOI
- W.-P. Schill, Residual load, renewable surplus generation and storage requirements in Germany, Energy Policy 73 (2014) 65-79. doi:10.1016/j.enpol.2014.05.032. URL https://linkinghub.elsevier.com/retrieve/pii/S0301421514003310 · DOI
- F. Weschenfelder, G. De Novaes Pires Leite, A. C. Arajo Da Costa, O. De Castro Vilela, C. M. Ribeiro, A. A. Villa Ochoa, A. M. Arajo, A review on the complementarity between grid-connected solar and wind power systems, Journal of Cleaner Production 257 (2020) 120617. doi:10.1016/ j.jclepro.2020.120617. URL https://linkinghub.elsevier.com/retrieve/pii/S0959652620306648 · DOI
- R. Pedruzzi, A. R. Silva, T. Soares Dos Santos, A. C. Araujo, A. L. Cotta Weyll, Y. K. Lago Kitagawa, D. Nunes Da Silva Ramos, F. Milani De Souza, M. V. Almeida Narciso, M. L. Saraiva Araujo, R. C. Medrado, W. O. Camilo Jnior, A. T. Neto, M. De Carvalho, W. R. Pires Bezerra, T. T. Costa, J. Bione De Melo Filho, A. . Bandeira Santos, D. M. Moreira, Review of mapping analysis and complementarity between solar and wind energy sources, Energy 283 (2023) 129045. doi:10.1016/ j.energy.2023.129045. URL https://linkinghub.elsevier.com/retrieve/pii/S0360544223024398 · DOI
- J. Lpez Prol, F. De Llano Paz, A. Calvo-Silvosa, S. Pfenninger, I. Staffell, Wind-solar technological, spatial and temporal complementarities in Europe: A portfolio approach, Energy 292 (2024) 130348. doi:10.1016/j.energy.2024.130348. URL https://linkinghub.elsevier.com/retrieve/pii/S0360544224001191 · DOI
- A. Bloess, W.-P. Schill, A. Zerrahn, Power-to-heat for renewable energy integration: A review of technologies, modeling approaches, and flexibility potentials, Applied Energy 212 (2018) 1611-1626. doi:10.1016/j.apenergy.2017.12.073. URL https://linkinghub.elsevier.com/retrieve/pii/S0306261917317889 · DOI
- O. Ruhnau, L. Hirth, A. Praktiknjo, Heating with wind: Economics of heat pumps and variable renewables, Energy Economics 92 (2020) 104967. doi:10.1016/j.eneco.2020.104967. URL https://linkinghub.elsevier.com/retrieve/pii/S0140988320303078 · DOI
- A. Roth, D. Kirchem, C. Gaete-Morales, W.-P. Schill, Flexible heat pumps: must-have or nice to have in a power sector with renewables?, arXiv:2307.12918 [econ, q-fin] (Jul. 2023). URL http://arxiv.org/abs/2307.12918 · arXiv
- W.-P. Schill, Electricity Storage and the Renewable Energy Transition, Joule 4 (10) (2020) 2059- 2064. doi:10.1016/j.joule.2020.07.022. URL https://linkinghub.elsevier.com/retrieve/pii/S2542435120303408 · DOI · Paper page
- A. Zerrahn, W.-P. Schill, C. Kemfert, On the economics of electrical storage for variable renewable energy sources, European Economic Review 108 (2018) 259-279. doi:10.1016/ j.euroecorev.2018.07.004. URL https://linkinghub.elsevier.com/retrieve/pii/S0014292118301107 · DOI
- L. Gke, J. Weibezahn, M. Kendziorski, How flexible electrification can integrate fluctuating renew- ables, Energy 278 (2023) 127832. doi:10.1016/j.energy.2023.127832. URL https://linkinghub.elsevier.com/retrieve/pii/S0360544223012264 · DOI
- T. Brown, D. Schlachtberger, A. Kies, S. Schramm, M. Greiner, Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system, Energy 160 (2018) 720-739. doi:10.1016/j.energy.2018.06.222. URL https://linkinghub.elsevier.com/retrieve/pii/S036054421831288X · DOI · Paper page
- F. N. Correia, M. A. Santos, R. R. Rodrigues, Engineering Risk in Regional Drought Studies, in: L. Duckstein, E. J. Plate (Eds.), Engineering Reliability and Risk in Water Resources, Springer Netherlands, Dordrecht, 1987, pp. 61-86. doi:10.1007/978-94-009-3577-8 4. URL http://link.springer.com/10.1007/978-94-009-3577-8 4 · DOI
- H. C. Gils, H. Gardian, M. Kittel, W.-P. Schill, A. Zerrahn, A. Murmann, J. Launer, A. Fehler, F. Gaumnitz, J. van Ouwerkerk, C. Buar, J. Mikurda, L. Torralba-Daz, T. Janen, C. Krger, Modeling flexibility in energy systems comparison of power sector models based on simplified test cases, Renewable and Sustainable Energy Reviews 158 (2022) 111995. doi:10.1016/j.rser.2021.111995. URL https://linkinghub.elsevier.com/retrieve/pii/S1364032121012582 · DOI
- H. C. Gils, H. Gardian, M. Kittel, W.-P. Schill, A. Murmann, J. Launer, F. Gaumnitz, J. van Ouwerk- erk, J. Mikurda, L. Torralba-Daz, Model-related outcome differences in power system models with sector couplingQuantification and drivers, Renewable and Sustainable Energy Reviews 159 (2022) 112177. doi:10.1016/j.rser.2022.112177. URL https://linkinghub.elsevier.com/retrieve/pii/S1364032122001022 · DOI
- J. Van Ouwerkerk, H. C. Gils, H. Gardian, M. Kittel, W.-P. Schill, A. Zerrahn, A. Murmann, J. Launer, L. Torralba-Daz, C. Buar, Impacts of power sector model features on optimal capac- ity expansion: A comparative study, Renewable and Sustainable Energy Reviews 157 (2022) 112004. doi:10.1016/j.rser.2021.112004. URL https://linkinghub.elsevier.com/retrieve/pii/S1364032121012673 · DOI
- S. Pfenninger, L. Hirth, I. Schlecht, E. Schmid, F. Wiese, T. Brown, C. Davis, M. Gidden, H. Hein- richs, C. Heuberger, S. Hilpert, U. Krien, C. Matke, A. Nebel, R. Morrison, B. Mller, G. Plemann, M. Reeg, J. C. Richstein, A. Shivakumar, I. Staffell, T. Trndle, C. Wingenbach, Opening the black box of energy modelling: Strategies and lessons learned, Energy Strategy Reviews 19 (2018) 63-71. doi:10.1016/j.esr.2017.12.002. URL https://linkinghub.elsevier.com/retrieve/pii/S2211467X17300809 · DOI
Cited by
Sorted by citations
Long-duration electricity storage needs for coping with Dunkelflaute events in Europe
Kittel, M., Roth, A., & Schill, W.-P. (2026) · Nature Communications · doi:10.1038/s41467-026-72681-5 · Cited by 20 · see citing works
Self-citation
- Authors
- Kittel, M., & Schill, W.-P.
- Venue
- Environmental Research: Energy
- Publisher
- IOP Publishing
- Published
- 2024-08-23
- Volume
- 1
- Issue
- 3
- Pages
- 035007
- ISSN
- 2753-3751
- Cited by
- 23
- References
- 0
- Licence
- Funders
- Einstein Stiftung Berlin (A-2020-612)
- Bundesministerium für Bildung und Forschung (Fkz 03SFK5NO)
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