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Three options to calculate the percentage renewable energy: An example for a EU policy debate

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  • Segers, Reinoud

Abstract

The European Commission proposed a renewable energy directive with binding targets for the percentage renewable energy, usually calculated with the primary energy method. This method has the disadvantage that for hydro and wind electricity production is counted, whereas for thermal electricity the higher input to power plants is counted. Therefore, the Commission looked for an alternative: the final energy method. Also this method has disadvantages. Firstly, electricity consumption is weighed equally to fuel consumption for heat and transport, neglecting higher primary energy demand for electricity. Secondly, non-energy consumption of energy commodities is neglected, artificially raising the percentage renewable energy. Therefore, I introduce a simple substitution method, which measures renewable energy by comparison with hypothetical equivalent conventional energy. Calculations for EU-27 show that the method strongly affects the contributions of different sectors (electricity, heat and transport), sources and countries. Concluding, any credible calculation method should reflect the trade off between conventional and renewable primary energy. A simple substitution method fulfills this condition, contrary to the primary and final energy method. Using these biased methods may result in policies that are inefficient in terms of saving conventional fuels and avoiding CO2 emissions, the main underlying goals of the proposed directive.

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  • Segers, Reinoud, 2008. "Three options to calculate the percentage renewable energy: An example for a EU policy debate," Energy Policy, Elsevier, vol. 36(9), pages 3243-3248, September.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:9:p:3243-3248
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    Cited by:

    1. Zhong-Hua Tian & Ze-Liang Yang, 2016. "Scenarios of Carbon Emissions from the Power Sector in Guangdong Province," Sustainability, MDPI, vol. 8(9), pages 1-14, August.
    2. Kraan, Oscar & Chappin, Emile & Kramer, Gert Jan & Nikolic, Igor, 2019. "The influence of the energy transition on the significance of key energy metrics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 215-223.
    3. Jansen, Jaap C. & Seebregts, Ad J., 2010. "Long-term energy services security: What is it and how can it be measured and valued?," Energy Policy, Elsevier, vol. 38(4), pages 1654-1664, April.
    4. López-González, Luis M. & López-Ochoa, Luis M. & Las-Heras-Casas, Jesús & García-Lozano, César, 2018. "Final and primary energy consumption of the residential sector in Spain and La Rioja (1991–2013), verifying the degree of compliance with the European 2020 goals by means of energy indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2358-2370.
    5. Marta Ros Karlsdottir & Jukka Heinonen & Halldor Palsson & Olafur Petur Palsson, 2020. "High-Temperature Geothermal Utilization in the Context of European Energy Policy—Implications and Limitations," Energies, MDPI, vol. 13(12), pages 1-27, June.
    6. Feng Dong & Yuling Pan, 2020. "Evolution of Renewable Energy in BRI Countries: A Combined Econometric and Decomposition Approach," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    7. Harmsen, Robert & Wesselink, Bart & Eichhammer, Wolfgang & Worrell, Ernst, 2011. "The unrecognized contribution of renewable energy to Europe's energy savings target," Energy Policy, Elsevier, vol. 39(6), pages 3425-3433, June.
    8. Lauri, Pekka & Kallio, A. Maarit I. & Schneider, Uwe A., 2012. "Price of CO2 emissions and use of wood in Europe," Forest Policy and Economics, Elsevier, vol. 15(C), pages 123-131.

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