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Tunnel construction as a climate-friendly source of energy

Tunnel construction as a climate-friendly source of energy The Brenner Base Tunnel will relieve transit traffic between Italy and Austria and, incidentally, supply parts of Innsbruck with geothermal energy. The source of energy is the tunnel water. 17 March 2021 Brenner Basistunnel (c) BBT SE When tunnels are bored through mountains, it is not the groundwater level that is an issue but the mountain water level. Mountain water comes from precipitation and flows down from the mountain surface. Along the way, its temperature is increased by the earth’s heat. “Geothermal energy is largely generated by the decay of long-lived nuclides in the earth’s interior,” says Thomas Geisler of the Institute of Rock Mechanics and Tunneling at Graz University of Technology. “As such, it is an entirely natural heat source fed by the Earth’s interior.” Unlike wind turbines, which only provide energy when the wind is blowing, geothermal energy is basically available around the clock an

TU Graz Researchers Identify Chemical Processes as Key to Understanding Landslides

 E-Mail IMAGE: Mass movements (like a landslide in the picture) cause considerable damage year after year. A study by TU Graz now identifies the triggers of such events. view more  Credit: © Kieffer - TU Graz/DCNA Mass movements such as landslides and hill-slope debris flows cause billions of euros in economic damage around the world every year. Between 20 and 80 million euros are spent annually from the disaster fund to repair disaster damage in Austria, 15 to 50 percent of which is attributable to mud flows and landslides. Now, a team of geologists from Graz University of Technology (TU Graz), in cooperation with the Burgenland state road administration, identified for the first time the chemical influencing factors and triggers for recurrent mass movements in fine-grained sediments. From results published in the journal Science of the Total Environment, preventive measures and strategies can be derived to guard against such events.

New approach found for energy-efficient AI applications

 E-Mail IMAGE: The algorithm will be implemented on brain-inspired computing systems, like the spike-based SpiNNaker (pictured here). SpiNNaker is part of the Human Brain Project s EBRAINS research infrastructure. view more  Credit: © Forschungszentrum Jülich Most new achievements in artificial intelligence (AI) require very large neural networks. They consist of hundreds of millions of neurons arranged in several hundred layers, i.e. they have very deep network structures. These large, deep neural networks consume a lot of energy in the computer. Those neural networks that are used in image classification (e.g. face and object recognition) are particularly energy-intensive, since they have to send very many numerical values from one neuron layer to the next with great accuracy in each time cycle.

Itthon: Farkas Zoltán: Azok ugyanezek

Itthon: Farkas Zoltán: Azok ugyanezek
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