Macro-economic models are widely applied across the EU to support strategic planning for R&I and the green transition. However, these models do not include a detailed representation of R&I policies and do not explicitly model green technologies and the economic sectors that develop these technologies, the performance of R&D and its role in creating first mover advantages, monopoly rents, and eventually successful deployment of the green and digital technologies. To respond to these challenges, TWINRD aims to develop new data, technology matrices, models and enhance leading existing macro-economic modelling (GEM-E3 and NEMESIS). To this end TWINRD will develop innovative and interdisciplinary approaches for the enhanced modelling representation of R&I and innovation policy in EU-27 and improve the integration of R&I activities in applied macro-economic models based also on the collection, empirical analysis and integration of new data and technology matrices for green and digital technologies into the macro-models. TWINRD will develop a new innovative, open-source model specifically designed to address the Twin transition that goes beyond the standard approaches and will be both supply and demand driven. The advanced modelling tools will be used for the evaluation and assessment of R&I policy impacts on socio-economic and environmental indicators aiming to distil policy-relevant insights. All datasets, models and sets of software will be made freely accessible to stakeholders and the public in the TWINRD online platform and in other channels. The entire project will be based on active stakeholder interactions and inclusive dialogue to co-design the research and scenarios explored based on the creation of TWINRD open forum.

MONROE aims at developing a modelling toolkit that would allow a broad range of stakeholders such as European and national governments, academia, regional and local bodies to quantitatively evaluate the impacts of their specific R&I policies and programmes. The toolkit will assess medium and long-term impacts of R&I policies and programmes on economic growth, job creation, competitiveness, social inequality and sustainability at various geographical levels ranging from word-wide to European, country and regional levels and for various economic sectors. Using innovative modelling methodologies and online visualisation techniques the developed toolkit will encourage collaboration between different societal actors in the process of co-creation for sustainable R&I driven economic growth.

EU-CHINA BRIDGE will support the transition to a climate-neutral and resilient society in both Europe and China by jointly advancing knowledge on technology innovations and roadmaps for decarbonising energy intensive industries, co-creating innovative modelling by combining cutting-edge bottom-up and integrated assessment modelling to quantify net-zero sustainable pathways, and developing the most updated and comprehensive emissions data. It will intensively engage relevant stakeholders from both regions, enhancing dialogues, and fostering mutual learning among policymakers, industries, and experts. It will deliver two open-source EU-China joint technology inventories of promising net-zero emission technology options for the iron & steel and chemical industries, two co-implemented demonstrations of promising technologies in China, and co-created scale-up paths and roadmaps of the selected industrial technologies in both regions. It will also develop the most up-to-date, high-resolution, multi-sectoral, national and regional GHG and short-lived climate pollutant emission inventories as well as dynamic monitoring of key emission sources at high spatiotemporal granularity. A state-of-the-art modelling framework will be developed, exploiting and advancing cutting-edge and established modelling tools for EU and China, using the latest emissions data, representing technology and policy options, enabling assessment of socioeconomic impacts, covering multiple economic sectors and regions, and offering high spatial and technology detail. The enhanced models will be used to co-produce net-zero pathways for the EU and China, explicitly assessing co-benefits and trade-offs of climate policies with other societal goals while exploring cooperation policies and governance to drive the global transformation, and assessing the distributional and global-level implications of the two regions’ decarbonisation. The pathways will be documented in new workspaces in the I2AM PARIS platform

There is still significant potential to improve energy efficiency in all sectors and levels where measures can be applied. Facing the often cited “energy efficiency gap”, even the profitable potential is not fully exploited. Highlighting and quantifying the additional values of energy efficiency measures and investments considering the multiple non-energy impacts could help closing this gap and facilitate energy-relevant decisions and policy-making. The project "MICAT – Multiple Impacts Calculation Tool" is coordinated by Fraunhofer ISI (DE) together with the European partners IEECP (NL), Wuppertal Institute (DE), WiseEuropa (PL), E3 Modelling (GR), IIASA (AT) and ICLEI EURO (DE). The goal of MICAT is the development of a comprehensive approach to estimate Multiple Impacts of Energy Efficiency. MICAT will enable analyses at three different governance levels (local, national and EU) to address a broad target group and interested actors. This allows simplified analyses to be carried out on the basis of different data and policy scenarios in order to compare and assess the relevance of the multiple impacts. The project thus sets a sound scientific empirical basis for monitoring Multiple Impacts while providing a publicly available and easy usable online tool (MICATool) which has been developed in a co-creational manner with the respective governance levels. The national and local cases for monitoring Multiple Impacts of Energy Efficiency will be developed further in a broad stakeholder and dissemination approach to set a standard for future reporting on Multiple benefits.

In order to mitigate climate change effects, urgent action is required in all sectors of the economy to significantly reduce greenhouse gases (GHG) emission. Energy System Models (ESM) are tools that help energy analysts, planners and policy makers to rationally describe energy systems and systematically evaluate the impacts of long-term scenarios. On the supply side, ESMs have provided useful results, but however, on the demand side, they lack the degree of accuracy required for proper characterization of, among others, the use of energy in households. One of the intrinsic difficulties is that energy demand in the residential sector is influenced by a myriad of factors (like the high diversity of dwellings, socio-economic conditions of the social/family units, and behavioral-related consumption patterns) that cannot easily be accounted for in traditional ESMs. To overcome this challenge, the novel Causal Modeling will be used to quantitatively analyse human decision making in energy consumption and their reactions to interventions (e.g. policy changes). This will be combined with an innovative FFORMA approach which allows multiple different load profiles to be categorised by a set of vectors describing it. WHY will therefore create innovative methodologies for short and long term load forecasting. The WHY modeling will allow to directly assess the impact of a multitude of policies on the energy system as well as performing both ex-ante and ex-post assessment over policy measures. WHY will therefore contribute to a holistic understanding of household energy consumption and improved demand modelling. The WHY toolkit will be used to assess several scenarios simulating different policy measures. Integration with widely-used ESMs (PRIMES, TIMES) will be demonstrated and the results analyzed. All results will be open-sourced to maximize uptake, and be widely disseminated to diverse target audiences (i.e. DSOs, energy companies, policy makers, researchers).