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Deep greenhouse gas emission reductions in Europe: Exploring different options

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  • Deetman, Sebastiaan
  • Hof, Andries F.
  • Pfluger, Benjamin
  • van Vuuren, Detlef P.
  • Girod, Bastien
  • van Ruijven, Bas J.

Abstract

Most modelling studies that explore emission mitigation scenarios only look into least-cost emission pathways, induced by a carbon tax. This means that European policies targeting specific – sometimes relatively costly – technologies, such as electric cars and advanced insulation measures, are usually not evaluated as part of cost-optimal scenarios. This study explores an emission mitigation scenario for Europe up to 2050, taking as a starting point specific emission reduction options instead of a carbon tax. The purpose is to identify the potential of each of these policies and identify trade-offs between sectoral policies in achieving emission reduction targets. The reduction options evaluated in this paper together lead to a reduction of 65% of 1990 CO2-equivalent emissions by 2050. More bottom-up modelling exercises, like the one presented here, provide a promising starting point to evaluate policy options that are currently considered by policy makers.

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  • Deetman, Sebastiaan & Hof, Andries F. & Pfluger, Benjamin & van Vuuren, Detlef P. & Girod, Bastien & van Ruijven, Bas J., 2013. "Deep greenhouse gas emission reductions in Europe: Exploring different options," Energy Policy, Elsevier, vol. 55(C), pages 152-164.
    • Handle: RePEc:eee:enepol:v:55:y:2013:i:c:p:152-164
    DOI: 10.1016/j.enpol.2012.11.047
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    6. Mikova, Nadezhda & Eichhammer, Wolfgang & Pfluger, Benjamin, 2019. "Low-carbon energy scenarios 2050 in north-west European countries: Towards a more harmonised approach to achieve the EU targets," Energy Policy, Elsevier, vol. 130(C), pages 448-460.
    7. Panapakidis, Ioannis P. & Dagoumas, Athanasios S., 2017. "Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model," Energy, Elsevier, vol. 118(C), pages 231-245.

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