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POTEnCIA model description - version 0.9

Author

Listed:
  • Leonidas Mantzos

    (European Commission – JRC)

  • Tobias Wiesenthal

    (European Commission – JRC)

  • Nicoleta Anca Matei

    (European Commission – JRC)

  • Mate Rozsai

    (European Commission – JRC)

  • Elena Navajas Cawood

    (European Commission – JRC)

  • Ioanna Kourti
  • Anastasios Papafragkou
  • Peter Russ

    (European Commission – JRC)

  • Antonio Soria Ramirez

    (European Commission – JRC.C6)

Abstract

This report lays out the modelling approach that is implemented in the POTEnCIA modelling tool (Policy Oriented Tool for Energy and Climate Change Impact Assessment) and describes its analytical capabilities. POTEnCIA is a modelling tool for the EU energy system that follows a hybrid partial equilibrium approach. It combines behavioural decisions with detailed techno-economic data, therefore allowing for an analysis of both technology-oriented policies and of those addressing behavioural change. Special features and mechanisms are introduced in POTEnCIA in order to appropriately reflect the implications of an uptake of novel energy technologies and of changing market structures, allowing for the robust assessment of ambitious policy futures for the EU energy system. The model runs on an annual basis with a typical projection timeline to 2050.

Suggested Citation

  • Leonidas Mantzos & Tobias Wiesenthal & Nicoleta Anca Matei & Mate Rozsai & Elena Navajas Cawood & Ioanna Kourti & Anastasios Papafragkou & Peter Russ & Antonio Soria Ramirez, 2016. "POTEnCIA model description - version 0.9," JRC Research Reports JRC100638, Joint Research Centre.
    • Handle: RePEc:ipt:iptwpa:jrc100638
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    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC100638
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    Cited by:

    1. Amarendra Sahoo & Ignacio Perez Dominguez & Sarah Mubareka & Giulia Fiorese & Giacomo Grassi & Roberto Pilli & Mihaly Himics & Viorel Blujdea & Marco Follador & Frederik Neuwahl & Raffaele Salvucci & , 2021. "Improved Modelling Framework for Assessing the Interaction between the Energy, Agriculture, Forestry and Land Use Change Sectors: Integrating the CAPRI, LUISA-BEES, CBM and POTEnCIA models," JRC Research Reports JRC123172, Joint Research Centre.
    2. Chang, Miguel & Thellufsen, Jakob Zink & Zakeri, Behnam & Pickering, Bryn & Pfenninger, Stefan & Lund, Henrik & Østergaard, Poul Alberg, 2021. "Trends in tools and approaches for modelling the energy transition," Applied Energy, Elsevier, vol. 290(C).
    3. Casimir Lorenz, 2017. "Balancing Reserves within a Decarbonized European Electricity System in 2050: From Market Developments to Model Insights," Discussion Papers of DIW Berlin 1656, DIW Berlin, German Institute for Economic Research.
    4. Clemens Gerbaulet & Casimir Lorenz, 2017. "dynELMOD: A Dynamic Investment and Dispatch Model for the Future European Electricity Market," Data Documentation 88, DIW Berlin, German Institute for Economic Research.
    5. Thomaßen, Georg & Redl, Christian & Bruckner, Thomas, 2022. "Will the energy-only market collapse? On market dynamics in low-carbon electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    6. Allard, Stéphane & Mima, Silvana & Debusschere, Vincent & Quoc, Tuan Tran & Criqui, Patrick & Hadjsaid, Nouredine, 2020. "European transmission grid expansion as a flexibility option in a scenario of large scale variable renewable energies integration," Energy Economics, Elsevier, vol. 87(C).
    7. Stéphane Allard & Silvana Mima & Vincent Debusschere & Tuan Tran Quoc & Patrick Criqui & Nouredine Hadjsaid, 2017. "Long-Term Transmission Capacity Planning In A Scenario With High Share Of Variable Renewable Energies," Post-Print hal-01631004, HAL.

    More about this item

    Keywords

    energy system modelling; energy policy assessment; energy efficiency; renewable energy; technology dynamics; climate change.;
    All these keywords.

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