The EU has committed to becoming a net-zero economy by 2050, with many member states having integrated this goal into national strategies. The bloc’s path towards delivering on this ambition, however, remains unclear. Alongside the Horizon Europe project IAM COMPACT as well as the Hellenic Society for the Environment and Cultural Heritage, the DIAMOND consortium is co-hosting a...
The European Climate and Energy Modelling Forum – ECEMP 2023 was held virtually on the 5th-6th of October 2023. The annual ECEMP conference brings together Europe’s climate and energy modelling community over a two-day period in a forum for deep exchange of research and modelling practice and varied discussions. The event featured a balanced mix...
On September 21-22, 2023, a two-day project meeting took place in Maastricht at the premises of the University of Maastricht (UM) to discuss aspects related to finance, labour, and consumer demand as well as to their integration in the DIAMOND ensemble of IAMs. During the first day, colleagues from UM, led by Prof. Mark Sanders...
DIAMOND partners took part in a Summer School on Integrated Assessment Models, which was organised by CMCC Foundation, RFF-CMCC European Institute on Economics and the Environment (EIEE) as a synergy of EU-funded projects NAVIGATE and ENGAGE, at Lake Como, Villa del Grumello, on July 3-7, 2023. The objective of the summer school was to create...
The Joint Global Change Research Institute’s (JGCRI) annual ‘GCAM Community Modelling Meeting’ was held virtually on June 6-8, 2023. The Meeting provides a forum for the GCAM community to share and promote the exploitation of the latest developments and current uses of GCAM. For those new to GCAM, the Meeting continued to serve as an excellent...
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information about the models!
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
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
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for them.
Project Coordinator: Prof. Haris Doukas | Institute of Communications and Computer Systems (ICCS), NTUA
Project Manager: Dr. Alexandros Nikas | Institute of Communications and Computer Systems (ICCS), NTUA