The PV Potential in Austria is Huge

The expansion of PV in Austria is progressing. Sonja Wogrin and Alexander Konrad from the Institute of Electricity Economics and Energy Innovation at TU Graz explain how the grids need to be expanded…
The expansion of PV in Austria is progressing. Sonja Wogrin and Alexander Konrad from the Institute of Electricity Economics and Energy Innovation at TU Graz explain how the grids need to be expanded…
Where is the space to generate the legally required amount of photovoltaic electricity in Austria by 2030? A research project involving TU Graz has set out to find suitable areas in Styria.
One topic, but a multiplicity of angles and perspectives.
Climate change is omnipresent.
And it is also having an impact on our cities.
Scientists at TU Graz are researching how urban
living spaces can respond to these changes.
Dust, pollen and bird droppings reduce the performance of solar modules, but automatic cleaning systems are expensive. Armin Buchroithner from the Institute of Electrical Measurement and Sensor…
In 2040, electricity production from solar installations will often significantly exceed demand, especially at midday. Robert Schürhuber from the Institute of Electrical Power Systems at TU Graz…
Using 3D printing technology and ultrasonic joining technique, researchers at TU Graz succeeded in attaining an extremely strong joining of the renewable raw material wood with metal and polymer…
Batteries undercut their theoretical capacity in practice, sometimes significantly. In a lithium iron phosphate cathode, researchers at TU Graz have now been able to observe exactly where the capacity…
The chemist works on the next generation of organic solar cells at the Institute of Chemical Technology of Materials at Graz University of Technology. The alpha+ Foundation of the Austrian Science…
Physicists at TU Graz have calculated how suitable molecules can be stimulated by infrared light pulses to form tiny magnetic fields. If this is also successful in experiments, the principle could be…
Due to the complex structures of microporous crystals known as MOFs, reliable simulations of their properties have been difficult until now. Machine learning provides the solution.
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