Intersecting near-optimal spaces: European power systems with more resilience to weather variability
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DOI: 10.1016/j.eneco.2022.106496
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- Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
- ., 2022. "Consumer demand and producer responses," Chapters, in: Rethinking Agricultural and Food Policy, chapter 3, pages 42-61, Edward Elgar Publishing.
- DeCarolis, Joseph F., 2011. "Using modeling to generate alternatives (MGA) to expand our thinking on energy futures," Energy Economics, Elsevier, vol. 33(2), pages 145-152, March.
- H.C. Bloomfield & D.J. Brayshaw & A. Troccoli & C.M. Goodess & M. de Felice & L. Dubus & P.E. Bett & Yves-Marie Saint-Drenan, 2021. "Quantifying the sensitivity of european power systems to energy scenarios and climate change projections," Post-Print hal-03113026, HAL.
- Price, James & Keppo, Ilkka, 2017. "Modelling to generate alternatives: A technique to explore uncertainty in energy-environment-economy models," Applied Energy, Elsevier, vol. 195(C), pages 356-369.
- van der Wiel, K. & Stoop, L.P. & van Zuijlen, B.R.H. & Blackport, R. & van den Broek, M.A. & Selten, F.M., 2019. "Meteorological conditions leading to extreme low variable renewable energy production and extreme high energy shortfall," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 261-275.
- Staffell, Iain & Pfenninger, Stefan, 2018. "The increasing impact of weather on electricity supply and demand," Energy, Elsevier, vol. 145(C), pages 65-78.
- Schlachtberger, D.P. & Brown, T. & Schramm, S. & Greiner, M., 2017. "The benefits of cooperation in a highly renewable European electricity network," Energy, Elsevier, vol. 134(C), pages 469-481.
- Bloomfield, H.C. & Brayshaw, D.J. & Troccoli, A. & Goodess, C.M. & De Felice, M. & Dubus, L. & Bett, P.E. & Saint-Drenan, Y.-M., 2021. "Quantifying the sensitivity of european power systems to energy scenarios and climate change projections," Renewable Energy, Elsevier, vol. 164(C), pages 1062-1075.
- Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
- Trutnevyte, Evelina, 2016. "Does cost optimization approximate the real-world energy transition?," Energy, Elsevier, vol. 106(C), pages 182-193.
- Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
- Francesca Maggioni & Florian A. Potra & Marida Bertocchi, 2017. "A scenario-based framework for supply planning under uncertainty: stochastic programming versus robust optimization approaches," Computational Management Science, Springer, vol. 14(1), pages 5-44, January.
- Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
- Andy Stirling, 2010. "Keep it complex," Nature, Nature, vol. 468(7327), pages 1029-1031, December.
- Rehfeldt, Daniel & Hobbie, Hannes & Schönheit, David & Koch, Thorsten & Möst, Dominik & Gleixner, Ambros, 2022. "A massively parallel interior-point solver for LPs with generalized arrowhead structure, and applications to energy system models," European Journal of Operational Research, Elsevier, vol. 296(1), pages 60-71.
- Frysztacki, Martha Maria & Hörsch, Jonas & Hagenmeyer, Veit & Brown, Tom, 2021. "The strong effect of network resolution on electricity system models with high shares of wind and solar," Applied Energy, Elsevier, vol. 291(C).
- Schlott, Markus & Kies, Alexander & Brown, Tom & Schramm, Stefan & Greiner, Martin, 2018. "The impact of climate change on a cost-optimal highly renewable European electricity network," Applied Energy, Elsevier, vol. 230(C), pages 1645-1659.
- Marianne Zeyringer & James Price & Birgit Fais & Pei-Hao Li & Ed Sharp, 2018. "Designing low-carbon power systems for Great Britain in 2050 that are robust to the spatiotemporal and inter-annual variability of weather," Nature Energy, Nature, vol. 3(5), pages 395-403, May.
- Pedersen, Tim T. & Victoria, Marta & Rasmussen, Morten G. & Andresen, Gorm B., 2021. "Modeling all alternative solutions for highly renewable energy systems," Energy, Elsevier, vol. 234(C).
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Cited by:
- Grochowicz, Aleksander & Benth, Fred Espen & Zeyringer, Marianne, 2024. "Spatio-temporal smoothing and dynamics of different electricity flexibility options for highly renewable energy systems—Case study for Norway," Applied Energy, Elsevier, vol. 356(C).
- Zhang, L.P. & Zhou, P., 2024. "Reassessing energy security risk incorporating external shock: A variance-based composite indicator approach," Applied Energy, Elsevier, vol. 358(C).
- Wen, Xin & Heinisch, Verena & Müller, Jonas & Sasse, Jan-Philipp & Trutnevyte, Evelina, 2023. "Comparison of statistical and optimization models for projecting future PV installations at a sub-national scale," Energy, Elsevier, vol. 285(C).
- Göke, Leonard & Schmidt, Felix & Kendziorski, Mario, 2024. "Stabilized Benders decomposition for energy planning under climate uncertainty," European Journal of Operational Research, Elsevier, vol. 316(1), pages 183-199.
- Frysztacki, Martha Maria & Hagenmeyer, Veit & Brown, Tom, 2023. "Inverse methods: How feasible are spatially low-resolved capacity expansion modelling results when disaggregated at high spatial resolution?," Energy, Elsevier, vol. 281(C).
- Dubois, Antoine & Dumas, Jonathan & Thiran, Paolo & Limpens, Gauthier & Ernst, Damien, 2023. "Multi-objective near-optimal necessary conditions for multi-sectoral planning," Applied Energy, Elsevier, vol. 350(C).
- Paolo Thiran & Hervé Jeanmart & Francesco Contino, 2023. "Validation of a Method to Select a Priori the Number of Typical Days for Energy System Optimisation Models," Energies, MDPI, vol. 16(6), pages 1-20, March.
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More about this item
Keywords
Climate-resilient energy systems; Energy system optimisation model; Weather uncertainty; Near-optimal solutions; Robust energy systems; Modelling to generate alternatives;All these keywords.
JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
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