Data of tools for modelling energy systems

In recent years, there has been continuous growth in the development and use of energy modelling tools for exploring and defining strategies that could allow a smooth transition towards decarbonised and sustainable energy systems. These models are required in order to quantify the impacts of this transition and define potential pathways due to the complexity of the interactions between different energy vectors, including renewable energy sources and their intermittency. This information can be used by the scientific community, policymakers, and modellers interested in national or local energy planning. The data presented here describe 62 energy modelling tools and their classification according to different criteria defined by the authors. It was collected from the literature through a systematic review (PRISMA). It includes a description and classification of the most commonly used energy modelling tools according to the following categories: general purposes, specific purposes, analytical approach, underlying methodology, mathematical approach, geographical coverage, time horizon, time resolution, sector coverage, renewable technologies, modelling tool accessibility and appearance in literature.