Research infrastructure for innovative power grids
Business Announcement
Updates every hour. Last Updated: 10-Sep-2025 00:11 ET (10-Sep-2025 04:11 GMT/UTC)
Electricity is increasingly being supplied by distributed sources of renewable energy, replacing central power plants and changing the demands on power grids. At the High Power Grid Lab (HPGL), new grid technologies are to be analyzed in a test environment designed to emulate the real power grid as accurately as possible. The focus will be on low- and medium-voltage grids for regional power distribution. The test platform is set to begin operation in 2030 as part of the Energy Lab at the Karlsruhe Institute of Technology (KIT). Its construction is being funded with EUR 32.8 million in strategic development funding from the Helmholtz Association.
New research into lithium mining in the “Lithium Triangle” of Chile, Argentina and Bolivia — source of more than half of the world’s lithium resources — shows that the commonly accepted models used to estimate water how much water is available for lithium extraction and what the environmental effects may be are off by more than an order of magnitude. The paper, published in Communications Earth and Environment, reveals that there is far less water available than previously thought. With demand for the mineral, which is critical for batteries powering the green transition, projected to increase 40-fold in the coming decades, the research suggests local communities, regulators and the lithium mining industry must quickly collaborate to bring their water usage within sustainable limits.
Major milestone reached in digital Cuneiform studies: researchers from Mainz, Marburg, and Würzburg present an innovative tool that offers many new possibilities.
Artificial intelligence (AI) plays a role in virtually every aspect of our lives, from self-driving cars to smart vacuum cleaners, to computer models that can predict the course of an epidemic. No matter how advanced these AI systems are, there always remains a certain degree of unpredictability about their behaviour. Thom Badings developed a new method to include this uncertainty in predictive algorithms, so that a safe solution can be achieved. His PhD defence takes place on 27 March at Radboud University.
Researchers at Kumamoto University have made a significant breakthrough in the field of control engineering by developing a highly accurate mathematical modeling technique for linear periodically time-varying (LPTV) systems. This pioneering research, led by Associate Professor Hiroshi Okajima of the Faculty of Advanced Science and Technology, opens new possibilities for improving technologies such as autonomous driving, robotics, and satellite navigation.