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Project information

Thematic Network of Energy Modeling for a Sustainable Energy Transition

P. Linares

January 2020 - December 2021

Funding entity Ministerio de Ciencia, Innovación y Universidades

Participated by Universidad de Castilla-La Mancha, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Instituto IMDEA Energía, Basque Centre for Climate Change, Universidad de Valladolid, Universidad Pública de Navarra, Universidad de Zaragoza


The fight against climate change involves undertaking an energy transition, at global and at national level, to a new energy system with low greenhouse gas emissions. The political and technological decisions adopted by our country in the next decades will build the future energy system and they will have impacts on the economy, the environment and the society. To inform the strategic decision-making process, a wide range of appropriate tools adapted to the actual energy situation of our country is required. There are several tools available, but few of them have been applied on regular basis to energy planning so far. These tools need to be able to assess the economic, environmental and social repercussions of the energy transition. The models developed by the groups of these network show their multidisciplinary character, from multiregional input-output models, dynamics, or with environmental and social extensions and with social accounting matrices, models of computable general equilibrium, of productivity and efficiency frontier analysis and Data Envelopment Analysis, demand forecasting, simulation models, to models of energy optimization. The goal of the network is to contact these national research groups that, from different perspectives and methodological approaches, are working on energy modelling to develop synergies and complementarities, to align priorities adapted to and able to respond to the needs and threats pose by the energy transition, to set up a group of reference at national and international level in energy modelling able to support agents in their process of decision-making, promote the improving the skills on energy modelling, participate on R&D projects together and convey the network research and results to society.


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