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IAMC

Project

EDITS – Energy Demand changes Induced by Technological and Social innovations

The aim of the experts and researchers forming the EDITS network is to identify gaps and potentials to enhance modeling, analyzing, and communicating the demand-side solutions for climate mitigation and the SDGs. EDITS focuses on enhancing both the human and the technical resources of demand side research and policy support

The aim of the experts and researchers forming the EDITS network is to identify gaps and potentials to enhance modeling, analyzing, and communicating the demand-side solutions for climate mitigation and the SDGs. EDITS focuses on enhancing both the human and the technical resources of demand side research and policy support by operating an expert network and a demand-side model complementarity exercise. EDITS reviews current practices, gaps and potentials in empirical research and demand-side modeling across three demand sectors: buildings, transport and industry. The work is extended to identifying interlinkages across sectors along a low energy demand future, as well as understanding the implications of cross-cutting aspects (such as digitalization, inequalities, energy access, decent living standards) for the sectors.

More projects

POLIZERO project final report

POLIZERO was funded by the Energy-Economy-Society research programme of the Swiss Federal Office of Energy. Led by the Energy Economics Group of the Laboraotry for Energy Systems Analysis at the Paul Scherrer Institute PSI and the Technoeconomics of energy systems laboratory of the University of Piraeus Research Center, it combined stakeholder input, energy modelling

Multiple pathways towards sustainable development goals and climate targets

The study presents three different sustainable development pathways, all of which avoid dangerous climate change and enable substantial progress towards the UN Sustainable Development Goals (SDGs). The scenarios were quantified by four different modelling teams participating in the SHAPE project, comprising two “full-system” integrated assessment models (REMIND-MAgPIE and IMAGE) and