Balancing Reserves within a Decarbonized European Electricity System in 2050: From Market Developments to Model Insights
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- Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
- Ludig, Sylvie & Haller, Markus & Schmid, Eva & Bauer, Nico, 2011. "Fluctuating renewables in a long-term climate change mitigation strategy," Energy, Elsevier, vol. 36(11), pages 6674-6685.
- Farahmand, H. & Doorman, G.L., 2012. "Balancing market integration in the Northern European continent," Applied Energy, Elsevier, vol. 96(C), pages 316-326.
- Leonidas Mantzos & Tobias Wiesenthal & Nicoleta Anca Matei & Mate Rozsai & Elena Navajas Cawood & Ioanna Kourti & Anastasios Papafragkou & Peter Russ & Antonio Soria Ramirez, 2016. "POTEnCIA model description - version 0.9," JRC Research Reports JRC100638, Joint Research Centre.
- Nahmmacher, Paul & Schmid, Eva & Hirth, Lion & Knopf, Brigitte, 2016. "Carpe diem: A novel approach to select representative days for long-term power system modeling," Energy, Elsevier, vol. 112(C), pages 430-442.
- Zerrahn, Alexander & Schill, Wolf-Peter, 2017.
"Long-run power storage requirements for high shares of renewables: review and a new model,"
Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1518-1534.
- Alexander Zerrahn & Wolf-Peter Schill, 2015. "A Greenfield Model to Evaluate Long-Run Power Storage Requirements for High Shares of Renewables," Discussion Papers of DIW Berlin 1457, DIW Berlin, German Institute for Economic Research.
- Tom Brijs & Arne van Stiphout & Sauleh Siddiqui & Ronnie Belmans, 2016. "Evaluating the Role of Electricity Storage by Considering Short-Term Operation in Long-Term Planning," Discussion Papers of DIW Berlin 1624, DIW Berlin, German Institute for Economic Research.
- Poncelet, Kris & Delarue, Erik & Six, Daan & Duerinck, Jan & D’haeseleer, William, 2016. "Impact of the level of temporal and operational detail in energy-system planning models," Applied Energy, Elsevier, vol. 162(C), pages 631-643.
- Hirth, Lion & Ziegenhagen, Inka, 2015. "Balancing power and variable renewables: Three links," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1035-1051.
- Hagspiel, S. & Jägemann, C. & Lindenberger, D. & Brown, T. & Cherevatskiy, S. & Tröster, E., 2014. "Cost-optimal power system extension under flow-based market coupling," Energy, Elsevier, vol. 66(C), pages 654-666.
- Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
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- Gerbaulet, Clemens & von Hirschhausen, Christian & Kemfert, Claudia & Lorenz, Casimir & Oei, Pao-Yu, 2019.
"European electricity sector decarbonization under different levels of foresight,"
EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141, pages 973-987.
- Gerbaulet, C. & von Hirschhausen, C. & Kemfert, C. & Lorenz, C. & Oei, P.-Y., 2019. "European electricity sector decarbonization under different levels of foresight," Renewable Energy, Elsevier, vol. 141(C), pages 973-987.
- Jha, Amit Prakash & Mahajan, Aarushi & Singh, Sanjay Kumar & Kumar, Piyush, 2022. "Renewable energy proliferation for sustainable development: Role of cross-border electricity trade," Renewable Energy, Elsevier, vol. 201(P1), pages 1189-1199.
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- Peter, Jakob & Wagner, Johannes, 2018. "Optimal Allocation of Variable Renewable Energy Considering Contributions to Security of Supply," EWI Working Papers 2018-2, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
- Sinn, Hans-Werner, 2017.
"Buffering volatility: A study on the limits of Germany's energy revolution,"
European Economic Review, Elsevier, vol. 99(C), pages 130-150.
- Hans-Werner Sinn, 2016. "Buffering Volatility: A Study on the Limits of Germany’s Energy Revolution," NBER Working Papers 22467, National Bureau of Economic Research, Inc.
- Sinn, Hans-Werner, 2017. "Buffering volatility: A study on the limits of Germany's energy revolution," Munich Reprints in Economics 49895, University of Munich, Department of Economics.
- Hans-Werner Sinn, 2016. "Buffering Volatility: A Study on the Limits of Germany's Energy Revolution," CESifo Working Paper Series 5950, CESifo.
- McCallum, Peter & Jenkins, David P. & Peacock, Andrew D. & Patidar, Sandhya & Andoni, Merlinda & Flynn, David & Robu, Valentin, 2019. "A multi-sectoral approach to modelling community energy demand of the built environment," Energy Policy, Elsevier, vol. 132(C), pages 865-875.
More about this item
Keywords
balancing reserves; electricity sector modeling; investment model; renewable participation; cross-border cooperation; dynamic sizing;All these keywords.
JEL classification:
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
- Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2017-04-23 (Energy Economics)
- NEP-EUR-2017-04-23 (Microeconomic European Issues)
- NEP-REG-2017-04-23 (Regulation)
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