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  • Expand geographic granularity to at least 25 world regions, including G20 economies aswell as further disaggregating the EU-27 to the national level
  • Link to national results to analyse implementation challenges at the EU NUTS-2 level
  • Integrate trade aspects related to new clean sources in addition to fossil fuel trade.
  • Leverage probability distributions for model parameters enabling fully-fledged stochastic
    uncertainty treatment and more robust outputs
  •  Enable complete socioeconomic impact assessments of energy system transformations
    and net-zero pathways in the EU and major emitters


  • Enable more detailed regional analysis
  • Incorporate a spatially explicit representation of key energy carrier trades (bioenergy,
    hydrogen, commodities including captured CO2, etc.)
  • Allow to estimate global average temperature changes of scenarios and include
    abatement supply-cost curves for all major non-CO 2 options, based on updated
  • Enable a broader community of practice


  • Explore “what-if”-type scenarios deep-diving at the European national level, while
    staying connected with global trends and markets
  • Improve calibration data on energy use, emissions, land, and water for Europe
  • Increase the technological detail in buildings, transport, and industry
  • Connect the electricity sector in European countries through interconnected “grid-
    regions”, and improve dispatch and storage representation of electricity supply
  • Separate final consumer demand for energy and food by a wide and flexible segregation
    of consumer groups, including income groups


  • Represent the EU as a single node, serving as an engagement, reduced-form model, upon
    which capacity development activities on EU climate policy can be developed
  • Extend spatial resolution to the national level to enable extensive, frontiers-stretching
  • Adopt a more detailed temporal resolution to at least 12 time-steps (seasons and day-
  • Enhance technological representation to increase the number of options that can render
    net-zero emission pathways technically feasible.


  • Expand the focus of NEMESIS to acknowledge the global nature of aspects related to
    climate change and action and the importance of interactions within and outside the EU
  • Develop the first open-access, global, large-scale, macro-sectoral model
  • Individualise the largest economies/emitters, energy supply sectors and transport
    activities, with the selection of datasets reflecting optimal trade-off between coverage,
    detail, relation to official definitions, and need for updates


  • Enhance the level of detail in policy insights at the national and EU level, improving
    empirical consistency
  • Enhance representation of non-GHG pollutants, integrating health co-benefits
  • Enable the analysis of the EU’s net-zero transition to a circular economy, exploiting the
    advantages of CGE models in explicitly representing the role of prices for determining
    supply and demand for goods and accounting for economic flows throughout the