Energy & Green Tech

Machine learning could help kites and gliders harvest wind energy

Airborne wind energy (AWE) is a lightweight technology which uses flying devices including kites and gliders to harvest power from the atmosphere. To maximize the energy they extract, these devices need to precisely control ...

Engineering

Powerful simulation solves vital physics problem

In one of the most intensive uses yet of the University of Florida's HiPerGator supercomputer, UF engineers have faithfully reproduced the turbulence and complexity of hot air rising along a wall—a previously impossible ...

Engineering

Creating a perfect trap for light

Whether in photosynthesis or in a photovoltaic system: If you want to use light efficiently, you have to absorb it as completely as possible. However, this is difficult if the absorption is to take place in a thin layer of ...

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