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The Costs of Electricity Systems with a High Share of Fluctuating Renewables: A Stochastic Investment and Dispatch Optimization Model for Europe

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  • Stephan Nagl, Michaela Fursch, and Dietmar Lindenberger

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  • Stephan Nagl, Michaela Fursch, and Dietmar Lindenberger, 2013. "The Costs of Electricity Systems with a High Share of Fluctuating Renewables: A Stochastic Investment and Dispatch Optimization Model for Europe," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  • Handle: RePEc:aen:journl:ej34-4-08
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    7. Nagl, Stephan & Fürsch, Michaela & Lindenberger, Dietmar, 2012. "The costs of electricity systems with a high share of fluctuating renewables - a stochastic investment and dispatch optimization model for Europe," EWI Working Papers 2012-1, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    8. Paulus, Moritz & Borggrefe, Frieder, 2011. "The potential of demand-side management in energy-intensive industries for electricity markets in Germany," Applied Energy, Elsevier, vol. 88(2), pages 432-441, February.
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    Cited by:

    1. Jonas Egerer and Wolf-Peter Schill, 2014. "Power System Transformation toward Renewables: Investment Scenarios for Germany," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    2. 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.
    3. Reichenberg, Lina & Hedenus, Fredrik & Odenberger, Mikael & Johnsson, Filip, 2018. "The marginal system LCOE of variable renewables – Evaluating high penetration levels of wind and solar in Europe," Energy, Elsevier, vol. 152(C), pages 914-924.
    4. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Seljom, Pernille & Lind, Arne & Wagner, Fabian & Mesfun, Sennai, 2020. "Short-term solar and wind variability in long-term energy system models - A European case study," Energy, Elsevier, vol. 209(C).
    5. Jeppesen, M. & Brear, M.J. & Chattopadhyay, D. & Manzie, C. & Dargaville, R. & Alpcan, T., 2016. "Least cost, utility scale abatement from Australia's NEM (National Electricity Market). Part 1: Problem formulation and modelling," Energy, Elsevier, vol. 101(C), pages 606-620.
    6. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    7. Johannes Radl & Andreas Fleischhacker & Frida Huglen Revheim & Georg Lettner & Hans Auer, 2020. "Comparison of Profitability of PV Electricity Sharing in Renewable Energy Communities in Selected European Countries," Energies, MDPI, Open Access Journal, vol. 13(19), pages 1-24, September.
    8. Jägemann, Cosima, 2014. "A note on the inefficiency of technology- and region-specific renewable energy support - The German case," EWI Working Papers 2014-5, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    9. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Nybø, Astrid, 2020. "Transitioning remote Arctic settlements to renewable energy systems – A modelling study of Longyearbyen, Svalbard," Applied Energy, Elsevier, vol. 258(C).
    10. N. Gülpınar & F. Oliveira, 2014. "Analysis of relationship between forward and spot markets in oligopolies under demand and cost uncertainties," Computational Management Science, Springer, vol. 11(3), pages 267-283, July.

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