Data-driven Energy System Analysis
Multidisciplinary data analysis is central for a proper understanding of the energy system and for assessing whether the energy transition is following a sustainable pathway.
Our approach to assessing sustainable development is an integrative one, which means we assess the complex interactions in socio-technical-economic systems with equal importance of the environmental dimension.
The sustainable energy transition requires a fundamental reform of the current way how energy services are being produced and delivered. Most importantly, we see accelerating trends towards decentralized markets and electricity grids, an increase in fuel diversity and the numbers of actors.
All these trends coincide with revolutionary ICT advancements. As a consequence, data mining is reaching a new level of quality and quantity, opening up for opportunities to develop and deploy advanced data science to tackle important societal and political questions.
In the H2020 COMETS project, we build and analyze a Europe-wide inventory of citizen-led energy projects to estimate their aggregate contribution to the energy transition.
In the EERAdata project, we hold a series of workshops to advance the FAIRification and opening of low carbon energy research data. (FAIR stands for F-findable, A-accessible, I-interoperable, R-reusable).
Ongoing research projects:
- H2020 Research Project COMETS: "Collective action Models for Energy Transition and Social Innovation" (from 05/2019 - 04/2021). 12 European partners.
- ERASME - Jean Monet Center of Excellence on Sustainable Development at the University Clermont-Auvergne, France (Since April 2019). Cooperation in education & research. See our latest publication - two chapters in the new book on Strong Sustainability (see: Chapter A, Chapter B).
- H2020 Project EERAdata: "Towards a FAIR and open data ecosystem in the low carbon energy research community" (from 03/2020). 6 European partners, HVL leads.
- H2020 Project DRES2Markets: " Technical, business, and regulatory approaches to enhance the renewable energy capabilities to take part actively in the electricity and ancillary service markets" (from 08/2020). 15 European partners. More information & links upcoming.
- AI for sustainable energy (09/2020-09/2022). HVL financed research cooperation between the research groups Data Science and Data-driven energy system analysis
Head of Research Group:
Research Group Members
External Group Members
Student assistants
- Negar Safara, Shirin Mohammadi, Mehran Ziaabadi, Constantin von Beck, Simon Dufner, Ingrid Koren (HVL)
- Tadeusz Rudek (Jagellonian University)
- Timothy Marcroft (University of Lyon)