Core modelling role in INNOPATHS, NAVIGATE, ENGAGE, ECEMF, NDC ASPECTS, CAMPAIGNers, DEEDS, and SOCLIMPACT — all centered on climate pathways and policy evaluation.
E3-MODELLING AE
Greek modelling SME providing integrated assessment and energy system models for climate policy, decarbonization pathways, and socio-economic impact analysis across Europe.
Their core work
E3-Modelling is a Greek SME specializing in energy-economy-environment modelling and integrated assessment. They develop and operate quantitative models that simulate how climate policies, energy transitions, and decarbonization pathways affect economies and societies. Their core work involves building decision-support tools that help policymakers evaluate trade-offs between emissions reduction targets, energy system transformation, and socio-economic impacts. Across 18 H2020 projects, they consistently provide the analytical backbone — running scenarios, projecting energy demand, and assessing policy feasibility at both national and global scales.
What they specialise in
Direct focus in NEWTRENDS (energy demand modelling), WHY (residential energy demand), MICAT (energy efficiency impacts), MAESHA (island decarbonisation), and CINTRAN (energy transition).
Distributional and socio-economic analysis in INNOPATHS, MONROE (R&I impact modelling), SOCLIMPACT (island climate impacts), CINTRAN (just transition), and GREEN-WIN.
ENGAGE (global greenhouse gas pathways), NDC ASPECTS (sectoral decarbonization for global stocktake), and NAVIGATE (next-generation IAM for climate policy).
TransformAr (transformational adaptation pathways) and CLINT (machine learning for extreme event attribution) mark a recent expansion into adaptation.
GoNEXUS applies their modelling capability to cross-sectoral resource nexus challenges under climate change.
How they've shifted over time
In their early H2020 period (2015–2018), E3-Modelling focused on broad climate policy analysis — global mitigation pathways, mid-century strategies, NDC assessment, and macro-level integrated assessment modelling. From 2019 onward, their work shifted noticeably toward granular energy demand modelling, sector-specific analysis (households, transport, industry, buildings), and emerging societal trends like digitalisation, prosumer behaviour, circular economy, and shared economy impacts on energy systems. This evolution shows a clear trajectory from "big picture" global climate scenarios toward applied, sector-level energy transition analysis with stronger attention to behavioural and societal dimensions.
Moving from macro-level climate scenarios toward granular, behaviour-aware energy demand modelling that accounts for digitalisation, circular economy, and societal change — expect future work to blend IAM with behavioural and machine learning approaches.
How they like to work
E3-Modelling operates exclusively as a participant, never leading consortia — they are the modelling engine that other organisations build projects around. With 221 unique partners across 41 countries, they maintain an exceptionally broad collaboration network, indicating they are a sought-after specialist rather than a project initiator. Their consistent presence in large RIA consortia (15 of 18 projects) suggests they are a trusted, reliable modelling partner that integrates well into multi-disciplinary teams.
Remarkably well-connected for an SME, with 221 unique consortium partners spanning 41 countries — covering virtually all of Europe plus global partners. Their network is heavily concentrated in energy and climate research institutions, with strong ties across Western and Southern Europe.
What sets them apart
E3-Modelling occupies a rare niche: a small private company whose quantitative models are trusted by dozens of Europe's leading climate and energy research consortia. Unlike university modelling groups, they bring commercial discipline and continuity; unlike large consultancies, they offer deep, specialised model development rather than generic advisory services. Their 18-project track record with EUR 6.8M in funding demonstrates sustained demand for their specific modelling capabilities — a consortium builder seeking credible energy-climate quantification would find few alternatives with this combination of specialisation, flexibility, and network reach.
Highlights from their portfolio
- INNOPATHSLargest single grant (EUR 808K) and a flagship project on innovation pathways for European low-carbon transition — ran for 5 years with deep modelling contributions.
- NAVIGATEFocused specifically on developing next-generation integrated assessment models, positioning E3-Modelling at the frontier of IAM methodology advancement.
- CLINTAn unusual departure into machine learning for climate extreme events — signals their expansion beyond traditional economic modelling into AI-driven climate intelligence.