Energy management and balancing of industrial processes, residential prosumers and e-mobility charging through real-time data exchange and control.

Collaborative and partially automated engineering of Smart Grid applications along the entire life cycle.

i-Twin investigates interoperability concepts for data-driven digital twins in the manufacturing industry. The project propagates an open source middleware for the integration of operational management systems and connected assets based on semantic integration pat-terns. It aims at reducing the integration effort and allowing exchange of master data and operational data in manufacturing networks. The results are validated in a research laboratory set-up and in an industrial asset management scenario.

Planning, integration and operation of charging and refuelling infrastructures to supply e-mobility and the integration of charging and refuelling needs into energy management and regional value creation.

The AITrOPiC project focus on the research and development of AI-based methods to enable automated provisioning of services and processing resources in cloud-based computing infrastructures.

HWS deals with the increasing levels of automation and the use of collaborative robots, making the shop floor a complex socio-technological system whose processes still need to be safe and secure for humans working in these environments. We take a human-centered view on the planning, analyzing and monitoring of industrial work processes.

Consumption of energy within the framework of local energy communities (LECs for short). However, a positive effect on the operation of the energy networks is the top priority.

The EFPF project realises a federated smart factory ecosystem by initially interlinking four smart factory platforms, from the FoF-11-2016 cluster, through an open and interoperable Data Spine. The federation of the 4 base platforms is complemented by industrial platforms, collaboration tools and smart factory systems, specifically selected to support connected factories in lot-size-one manufacturing. more

Digitisation in the areas of Industry 4.0 and autonomous driving is rapidly gaining in importance. Wireless communication networks form the necessary basis for this. Since their performance cannot be measured at all place and at all times, it will be necessary to predict performance. more

Dynamically reconfigurable software-defined real-time networks with AI support more

MINER is a programmable software platform that supports users in conducting distributed experiments. So far, MINER has been primarily used for performance evaluation in computer networks. However, the platform can be equally applied to conduct distributed experiments that are not related to network measurements. more

The main focus of IoT4CPS will be on developing, producing and operating, highly trustable components and applications for Connected and Automated Driving. more

The ZSE enables the secure and comprehensive networking of data of all participants in intelligent energy networks.

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An open source based infrastructure for B2B platforms that can be customised for regional and sector-specific applications. Small or large enterprises can join, define supply chains and can synchronise their production logistics. more

Wireless networks need to be reliable for many applications. In this project we developed methods to measure the reliability of wireless networks.

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The EMBS project develops an innovative, integrated control and planning system for demand-response and optimization of multi-utility/-energy devices and installations. more

Assistance systems in production in the context of human – machine cooperation more

Ongoing digitisation of power grids by large numbers of ICT-components for the purpose of extensive integration of renewable energy sources (REC) is demanding for novel system management strategies. The VirtueGrid project evaluates the potentials emerging from using virtualisation technolgies in the area of power grid control. more

The massive deployment of distributed generators from renewable sources in recent years has led to a fundamental paradigm change in terms of planning and operation of the electric power system. MESSE develops of a concept for a model-based engineering and validation support system, covering the overall engineering process for smart grid applications – from use case design to validation and deployment. more

Development and demonstation of a new smart grid management approach based on the know-how and experiences of multiple regional R&D and demonstration projects. more