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Renewable energy sources in European energy supply and interactions with emission trading

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  • Möst, Dominik
  • Fichtner, Wolf
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    Abstract

    This paper presents a model-based approach, which allows to determine the optimised structure and operation of the EU-15 electricity supply under different political and economic framework conditions, with a focus on the integration of renewable energy sources for electricity generation (RES-E) in the EU-15 countries. The approach is designed to take into account the characteristics of power production from both renewable and conventional sources, including the technological and economic characteristics of existing plants as well as those of future capacity expansion options. Beyond that, fuel supply structures are modelled, as well as the international markets for power and CO2-certificates with their restrictions. Thus, a profound evaluation of the exploitation of mid-term renewable potentials and an assessment of the market penetration of the various renewable power generation technologies under the (normative) premise of a cost-optimised evolution of the power system becomes possible. Results show that a promotion of renewable energies reduces the scarcity of CO2-emission allowances and thus lowers marginal costs of CO2 reduction up to 30% in 2030. Despite the higher overall costs, a diversification of the energy resource base by RES-E use is observed, as primarily natural gas and nuclear fuels are replaced.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Policy.

    Volume (Year): 38 (2010)
    Issue (Month): 6 (June)
    Pages: 2898-2910

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    Handle: RePEc:eee:enepol:v:38:y:2010:i:6:p:2898-2910

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    Web page: http://www.elsevier.com/locate/enpol

    Related research

    Keywords: Electricity market modelling Renewable energy Emission trading;

    References

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    1. Sensfuß, Frank & Ragwitz, Mario & Genoese, Massimo, 2008. "The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany," Energy Policy, Elsevier, vol. 36(8), pages 3076-3084, August.
    2. Möst, Dominik & Perlwitz, Holger, 2009. "Prospects of gas supply until 2020 in Europe and its relevance for the power sector in the context of emission trading," Energy, Elsevier, vol. 34(10), pages 1510-1522.
    3. Messner, Sabine & Schrattenholzer, Leo, 2000. "MESSAGE–MACRO: linking an energy supply model with a macroeconomic module and solving it iteratively," Energy, Elsevier, vol. 25(3), pages 267-282.
    4. Rosen, Johannes & Tietze-Stöckinger, Ingela & Rentz, Otto, 2007. "Model-based analysis of effects from large-scale wind power production," Energy, Elsevier, vol. 32(4), pages 575-583.
    5. Finon, Dominique, 1974. "Optimisation model for the French energy sector," Energy Policy, Elsevier, vol. 2(2), pages 136-151, June.
    6. Yiannis Antoniou, Pantelis Capros, 1999. "Decision support system framework of the PRIMES energy model of the European Commission," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 12(1/2/3/4/5), pages 92-119.
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    Citations

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    Cited by:
    1. Lili Li, 2014. "Empirical Research on the Relationship between China Export and New Energy Consumption," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 229-237.
    2. Jägemann, Cosima, 2012. "Decarbonizing Europe’s power sector by 2050 - Analyzing the implications of alternative decarbonization pathways," EWI Working Papers 2012-13, Energiewirtschaftliches Institut an der Universitaet zu Koeln.
    3. repec:dui:wpaper:1305 is not listed on IDEAS
    4. Pina, André & Silva, Carlos & Ferrão, Paulo, 2011. "Modeling hourly electricity dynamics for policy making in long-term scenarios," Energy Policy, Elsevier, vol. 39(9), pages 4692-4702, September.
    5. Bertsch, Joachim & Growitsch, Christian & Lorenczik, Stefan & Nagl, Stephan, 2013. "Flexibility in Europe's Power Sector - an Additional Requirement or an Automatic Complement?," EWI Working Papers 2013-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln.
    6. Spiecker, Stephan & Vogel, Philip & Weber, Christoph, 2013. "Evaluating interconnector investments in the north European electricity system considering fluctuating wind power penetration," Energy Economics, Elsevier, vol. 37(C), pages 114-127.
    7. Spiecker, Stephan & Weber, Christoph, 2014. "The future of the European electricity system and the impact of fluctuating renewable energy – A scenario analysis," Energy Policy, Elsevier, vol. 65(C), pages 185-197.
    8. Lion Hirth, 2013. "The Optimal Share of Variable Renewables. How the Variability of Wind and Solar Power Affects their Welfare-optimal Deployment," Working Papers 2013.90, Fondazione Eni Enrico Mattei.

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