With the vision “Innovation by experiment” the Bauhaus.MobilityLab started in July 2020 as a living lab in the district Brühl of the city Erfurt, Thuringia, Germany. As a unique project, it is coupling the sectors mobility, logistics and energy into a unified living lab. It allows to design, develop and evaluate innovative services to increase the quality of life in the city. Bauhaus.MobilityLab offers access to live smart city data of different domains and provides a set of powerful artificial intelligence (AI) algorithms for data processing, analytics and forecasting. In contrast to existing platforms, its uniqueness is the available and integrated living lab. It allows directly rolling out new smart city services and to evaluate the impact in the real world. This paper describes the implementation of the technical platform supporting the Bauhaus.MobilityLab, realized according to the DIN SPEC 91357 as an open urban platform. It focuses on data sharing based on the concepts of the International Data Spaces and the integration of AI algorithms. The concepts are presented based on examples in the energy domain.

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The energy sector is in a dynamic transition from centralized systems with large fossil power plants to a decentralized system with a high number of renewable energy assets and a rapidly increasing number of additional flexible loads from storage solutions, e-mobility, or power-to-heat applications.To operate the system reliably, demand and supply have to be matched at all times very closely. Thus, the sector is very data and communication intensive and requires advanced ICT solutions to automate processes and deal with the enormous complexity.The Energy Data Space can enable the digitalization of the energy transition by providing an architecture to make data available in order to increase the efficiency in asset and system operation.Data provision and market communication within the system operations of electricity grids is a key use case due to its central role in the sector. Next, the integration of data from the smart meter rollout could as well be built on Data Space technology. Further use cases include predictive maintenance and the energy supply of buildings.Initial research projects have demonstrated the feasibility of basic use cases. On the European level, the Platoon project will provide seven pilot applications by 2024.