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Environmental impact indicators for the electricity mix and network development planning towards 2050 – A POLES and EUTGRID model

Author

Listed:
  • Jean-Nicolas Louis

    (University of Oulu, Faculty of Technology, Energy and Environmental Engineering)

  • Stéphane Allard

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019], GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Vincent Debusschere

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Silvana Mima

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Tuan Tran-Quoc

    (INES - Institut National de L'Energie Solaire - CEA - Commissariat à l'énergie atomique et aux énergies alternatives - USMB [Université de Savoie] [Université de Chambéry] - Université Savoie Mont Blanc - CNRS - Centre National de la Recherche Scientifique)

  • Nouredine Hadjsaid

    (G2ELab - Laboratoire de Génie Electrique de Grenoble - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - CNRS - Centre National de la Recherche Scientifique - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

Abstract

Most prospective studies of the European power system rely on least-cost evaluations. This study assessed the influence of environmental impact indicators on prioritisation of ‘dispatchable' technologies in the European energy mix up to 2050, compared with a purely cost-optimal system based on carbon tax incentives, without suppressing economic growth considerations. A model that combined the Prospective Outlook for Long-term Energy Systems model (POLES) and the European and Transmission Grid Investment and Dispatch model (EUTGRID)was used in the analysis. Combined current and prospective life cycle assessment (LCA) methodologies were added to the EUTGRID model to include environmental considerations in the decision-making process. Shifting from an economic to an environmental merit order in prioritisation increased the share of renewables by 2.65% (with variations between countries) and decreased overall emissions by 9.00%. This involved a change in grid infrastructure. Investments were found to be more important when optimisation was based on an environmental criterion on new high-voltage AC power lines, which resulted in a 1.50% increase in the overall cost of the power system. Finally, considering an environmental, instead of an economic, merit order allowed decarbonisation to be achieved slightly faster, resulting in lower cumulative greenhouse gas emissions to the atmosphere.

Suggested Citation

  • Jean-Nicolas Louis & Stéphane Allard & Vincent Debusschere & Silvana Mima & Tuan Tran-Quoc & Nouredine Hadjsaid, 2018. "Environmental impact indicators for the electricity mix and network development planning towards 2050 – A POLES and EUTGRID model," Post-Print hal-01863887, HAL.
    • Handle: RePEc:hal:journl:hal-01863887
    DOI: 10.1016/j.energy.2018.08.093
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    Citations

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    Cited by:

    1. Jean-Nicolas Louis & Stéphane Allard & Freideriki Kotrotsou & Vincent Debusschere, 2020. "A multi-objective approach to the prospective development of the European power system by 2050," Post-Print hal-02376337, HAL.
    2. Fózer, Dániel & Volanti, Mirco & Passarini, Fabrizio & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír & Mizsey, Péter, 2020. "Bioenergy with carbon emissions capture and utilisation towards GHG neutrality: Power-to-Gas storage via hydrothermal gasification," Applied Energy, Elsevier, vol. 280(C).
    3. Marcus Eichhorn & Miron Thylmann & Wolfgang Peters & Pascal Kinast & Daniela Thrän & Martin Bauschmann & Stefanie Seitz & Jens Ponitka, 2018. "Spatial Distribution of Overhead Power Lines and Underground Cables in Germany in 2016," Data, MDPI, vol. 3(3), pages 1-7, September.
    4. Allard, Stéphane & Debusschere, Vincent & Mima, Silvana & Quoc, Tuan Tran & Hadjsaid, Nouredine & Criqui, Patrick, 2020. "Considering distribution grids and local flexibilities in the prospective development of the European power system by 2050," Applied Energy, Elsevier, vol. 270(C).
    5. Louis, Jean-Nicolas & Allard, Stéphane & Kotrotsou, Freideriki & Debusschere, Vincent, 2020. "A multi-objective approach to the prospective development of the European power system by 2050," Energy, Elsevier, vol. 191(C).
    6. Purvins, Arturs & Gerbelova, Hana & Sereno, Luigi & Minnebo, Philip, 2021. "Social welfare impact from enhanced Trans-Asian electricity trade," Energy, Elsevier, vol. 215(PA).
    7. Zurano-Cervelló, Patricia & Pozo, Carlos & Mateo-Sanz, Josep María & Jiménez, Laureano & Guillén-Gosálbez, Gonzalo, 2019. "Sustainability efficiency assessment of the electricity mix of the 28 EU member countries combining data envelopment analysis and optimized projections," Energy Policy, Elsevier, vol. 134(C).

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