The International Data Spaces initiative (IDS) is building an ecosystem to facilitate data exchange in a secure, trusted, and semantically interoperable way. It aims at providing a basis for smart services and cross-company business processes, while at the same time guaranteeing data owners' sovereignty over their content. The IDS Information Model is an RDFS/OWL ontology defining the fundamental concepts for describing actors in a data space, their interactions, the resources exchanged by them, and data usage restrictions. After introducing the conceptual model and design of the ontology, we explain its implementation on top of standard ontologies as well as the process for its continuous evolution and quality assurance involving a community driven by industry and research organisations. We demonstrate tools that support generation, validation, and usage of instances of the ontology with the focus on data control and protection in a federated ecosystem.

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Abandoning fossil and nuclear energy sources in the long run and increasing amount of renewable energies in electricity production causes a more volatile power supply. Depending on external realities, renewable energy production emphasizes the need for measures to guarantee the necessary balance of demand and supply in the electricity system at all times. Energy intensive industry processes theoretically include high Demand Response potentials suitable to tackle this increasing supply volatility. Nevertheless, most companies do not operate their production in a flexible manner due to multiple reasons: among others, the companies lack know-how, technologies and a clear business case to introduce an additional level of flexibility into their production processes, they are concerned about possible impacts on their processes by varying the electricity demand and need assistance in exploiting their flexibility. Aside from fostering knowledge in industry companies, an IT-solution that supports companies to use their processes’ Demand Response potential has become necessary. Its concept must support companies in managing companies’ energy-flexible production processes and monetarize those potentials at flexibility markets. This paper presents a concept, which integrates both companies and energy markets. It enables automated trading of companies’ Demand Response potential on different flexibility markets.

Based on the goal of exiting nuclear and fossil energies within the electricity generation, the percentage of renewable energies in the energy mix rises. Due to renewable energies’ dependence on natural resources like sun or wind this development leads to a volatile energy supply on the markets. To satisfy their customers’ needs even with a volatile energy supply, especially companies of the manufacturing sector need to consider this development. Production processes need to be developed further to be more energy efficient and to be adaptable in their energy demand to volatile supply. This includes being operable on various power levels or with different kinds of energy such as electricity or gas. Energy-flexible production processes need to be supported by flexible IT solutions. While there are already solutions for demand-side-management on the company side as well as on the market side, there are no holistic solutions yet, allowing for integration regardless of company or market boundaries. Therefore, this paper presents the concept of a service-oriented architecture for a flexible IT-platform to synchronize energy demands with volatile markets. A holistic approach allows for integration of companies as well as energy markets and enables an automated and efficient exploitation of demand response potentials

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