Green ICT

It stands to reason that the highly dynamic international ICT market, increasing in the wake of digitization, must make its own significant and measurable contribution to achieving climate protection targets. However, this can only be achieved if overall systems and their networking over the entire lifecycle are included in the consideration in addition to individual components. The "Green ICT @ FMD" competence center, which was launched in August 2022, is working intensively on the following key areas:

• Resource-efficiency in sensor edge cloud systems
• Energy-saving communication infrastructures
• Resource-optimized electronics production
  

To the "Green ICT @ FMD" project website

Edge Limit Green ICT

To realize more energy-efficient mobile base stations, the consortium partners of the joint project "EdgeLimit-Green ICT" are working on a novel edge cloud antenna system that reduces energy losses during transmission in the millimeter-wave range of 5G by at least 50% through a combination of efficient components and optimized AI-assisted control.

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Digital transmitters

Digitally operated, switched transistors are increasingly THE core elements for raising the most diverse areas of electronics to a new, higher level of development - thus making them future-proof. Fast and efficient switching connects power electronics with high-frequency electronics (power meets HF). The infrastructure of future mobile communications from sub-6 to 300 GHz (5G/6G) ensures more efficient power management, maximum flexibility, and compactness - with complete digitalization. With this paradigm shift, resources can be significantly conserved and carbon emissions reduced. These features are making a decisive contribution to the global drive for green communications technology (Green ICT).

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TEMPO - Technology and Hardware for Neuromorphic Computing

Neuromorphic computing is considered a key technology for future AI applications. The sophisticated nerve network of our human brain serves as a model. A central challenge for research is the very high energy consumption of the chips for the required complex computing power. Within the ECSEL project TEMPO (Technology & Hardware for Neuromorphic Computing), the German consortium, with the participation of Fraunhofer EMFT, is working on the development and evaluation of low-power neuromorphic computing chips in the 22 nm FDSOI technology node.

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NeurONN

Nature sets a high bar: Our brain is capable of processing and storing huge amounts of information without using more energy than a 20-watt light bulb. This is a good reason for researchers worldwide to take the human brain as a model for circuits in so-called neuromorphic chips. Within the EU project NeurONN, a Fraunhofer EMFT research team is working with six European partners on extremely energy-efficient elements and architectures for neuromorphic computing. Innovative 2D materials are also being used in the process.

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EnABLES

The EnABLES project involves hundreds of researchers and developers working to advance Energy Harvesting, storage and micro-power management solutions for the integrated design and deployment of miniaturized autonomous sensors. The EnABLES offer ranges from technologies and simulation models to the design of devices and systems. The EnABLES institutes support stakeholders and IoT developers and manufacturers to accelerate the adoption of this technology in real-world applications.
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