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  • © Fraunhofer SCAI

    Electricity from renewable energy sources contributes to combat climate change. One of the challenges is to develop technologies for storing excesses in energy supplies quickly and without loss. Organic redox flow batteries (RFBs) promise a viable route to this end: operated where needed, they rely on matter-bound storage – just in analogy to nature's example.

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  • An answer to the challenges of transitioning to renewables / 2020

    Fraunhofer connects energy production and storage

    Research News / 2.1.2020

    © Fraunhofer SCAI

    The good news is that renewables account for nearly 50 percent of electricity generated in Germany. The bad news is that they lack the flexibility to adapt to the day’s fluctuating electricity demand. They only furnish electrical energy when the wind blows or the sun shines. In a perfect world, engineers would find a way to store the vast amounts of energy generated by renewables and coordinate power production and storage. And that is exactly what ES-FLEX-INFRA, a joint project led by the Fraunhofer Institute for Algorithms and Scientific Computing SCAI, aims to do.

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  • New Annual Report 2018/2019 published

    Press Release / 24.5.2019

    © Fraunhofer SCAI

    Fraunhofer SCAI has published its Annual Report 2018/2019. It describes the research in the ten business areas of the institute. It also provides an overview of the institute's numerous software solutions that are used in industrial practice.

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  • A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts.

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  • Outpatient care: Optimized processes mean more time for patients / 2018

    Smart algorithms boost planning

    Forschung Kompakt / 1.10.2018

    © Fraunhofer SCAI

    Organizing care services is a complex task and a lot of planning goes into ensuring that they operate smoothly. Developed by adiutaByte, a spin-off project of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI, adiuta.PLAN is a software package that can automatically create plans and factor in variables such as traffic levels and weather conditions in real time. The software also keeps plans updated to take into account other factors such as staff availability. Its innovative algorithms provide the perfect remedy for the grave shortage of care resources.

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  • Better planning with innovative algorithms

    Press Releases / 11.6.2018

    © Fraunhofer SCAI

    How can the enormous challenges of ambulatory care and logistics services be overcome? The software adiuta.PLAN of the Fraunhofer spin-off company adiutaByte (currently in the course of formation) solves complex optimization problems with new algorithmic methods. The founding team from Fraunhofer SCAI presents its solutions on Wednesday, June 13, 2018 at the CEBIT in Hanover.

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  • Improved early detection of neurodegenerative diseases / 2018

    Preventive treatment for Alzheimer’s and Parkinson’s disease

    Research News / 1.6.2018

    A diagnosis of Alzheimer’s disease is devastating for those affected, as there is still no cure for this type of dementia. One hundred years after Alois Alzheimer first described it, we neither have a drug for it, nor do we really understand what causes the severe brain impairment. The EU-based AETIONOMY project could bring about a breakthrough in research: Fraunhofer scientists have teamed up with various partners to identify the early disease mechanisms. They hope to advance research into the causes of this disease using model-based and big data approaches.

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