SDG 7 Clean Energy: Small Hydropower Plants
How our researchers contribute to Sustainable Development Goal 7 – access to clean, reliable and affordable energy.
Small hydropower plants meet approximately 10% of the Austrian electricity demand, thus contributing significantly to regional, climate-friendly energy supply. However, the climate change is posing new challenges for these systems: Changed precipitation patterns, higher temperatures, melting glaciers, and more frequent extreme weather events such as dry spells or floods have implications in terms of performance, security, and economic viability.
This requires investments in modernisation and new construction – which only make sense where these systems’ long-term and thus economically viable operation is guaranteed.
More Precise Forecasting Models Thanks to Data and Machine Learning
In the project KliWaSim, a research team headed by Torsten Priebe develops innovative forecasting models for the improved assessment of future risks and opportunities. To this end, it combines global and regional climate models and methods of statistical downscaling using machine learning. This results in precise local forecasts that mirror both short-term and long-term developments.
These models support operators and decision-makers in initiating targeted investments in protective measures and new construction, and to take decisions regarding technical adjustments (such as, e.g., the adaptation of turbine types), thus securing the contribution of small-scale hydropower to the clean energy supply of Austria in the long term.
About the SDG Topic Series
Within the framework of our SDG topic series, we dedicate ourselves to one of the 17 goals for sustainable development every week. The selected contributions serve as examples to illustrate how the the USTP contributes to a sustainable future. In doing so, we highlight diverse issues – from poverty in old age and ‘AI for Green’ to strategic partnerships and networks.
FH-Prof. Dipl.-Wirt.-Inf. Dr. Torsten Priebe
Head ofData Intelligence Research Group
Institute of IT Security Research Lecturer Department of Computer Science and Security