REflex Project Overview
- Headquarters
- Dresden, Sachsen, De
- Website
- reflex-project.eu
- Industry
- Research
- Employees
- 31
Keywords
About REflex Project
The main goal of REflex is to analyze and evaluate the development towards a low carbon energy system with focus on flexibility options in the EU to support the implementation of the European Strategic Technology Plan. The analyses are based on a modelling environment that considers the full extent to which current and future energy technologies and policies interfere, and how they affect the environment and society while considering technological learning of low-carbon and flexibility technologies. For this purpose, REFLEX brings together the comprehensive expertise and competences of known European experts from six different countries, including: • Technische Universität Dresden – TUD (DE) (Coordinator) • AGH - University of Science and Technology (PL) • Energy Systems Analysis Associates – ESA² GmbH (CH) • Karlsruhe Institute of Technology – KIT (DE) • Fraunhofer Institute for Systems and Innovation Research – Fraunhofer-ISI (DE) • KTH Royal Institute of Technology (SE) • TEP Energy GmbH (CH) • Utrecht University (NL) • TRT Trasporti e Territorio SRL (IT) Each partner focusses on one research fields such as techno-economic learning, fundamental energy system modelling or environmental and social life cycle assessment. An innovative and comprehensive energy models system (EMS) is developed, which links the three research fields and couples the models and tools from all partners. The results from the EMS will help understand the complex interactions between different actors, available technologies and impact of the different interventions on all levels from the individual to the whole energy system. In this way, the knowledge base for decision-making concerning feasibility, effectiveness, costs and impacts of different policy measures will be strengthened, which will assist policy makers and support the implementation of the SET-Plan. The project has received funding from the Horizon 2020 Research and Innovation Program under Grant Agreement 691685.
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