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PublicationBlueprint of the Common European Energy Data Space( 2024-03)This document addresses the concept of a Common European Energy Data Space (CEEDS), providing detailed approaches and recommendations for its real-world realization. In particular, the main objective of this blueprint is to guide on enhancing the existing data infrastructures, in the energy domain, towards the full embracement of data space solutions. Bridging this gap will empower the introduction of novel energy services, which will increase the efficiency and reliability of the energy systems while providing substantial benefits for every stakeholder. The key scope of this document is to present (i) a framework for new economically feasible business use cases and (ii) the general data space architecture that can enable them. This architecture aims to interconnect the existing data infrastructures, of legacy systems, with federated data spaces; at this scope, technical specifications have been included.
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PublicationExploring decentralized data management: a case study of changing energy suppliers in Germany( 2024)This paper presents an innovative approach to decentralized data management in the German energy market, focusing on the use of decentralized data management with the help of Data Spaces to facilitate the automated change of energy suppliers within 24 h. The central focus of this research is the MakoMaker Space, a demonstrator project that employs the Connector from the Eclipse Data Space Components. The MakoMaker project demonstrates the successful automation of energy supplier changes, emphasizing the preservation of customer data sovereignty. It shows an alternative approach to the process, putting the customer into the center. Customers retain control of their data, which is accessible to providers as needed. While the paper discusses the potential for further enhancements, such as the integration of an identity provider and the development of a sustainable business model for service coordination, the primary focus is on the demonstrator’s successful application in a pilot setting.
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PublicationFortschrittsbericht zur Digitalisierung des Energiesystems(Fraunhofer CINES, 2024)
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PublicationCommon European Energy Data Space(Publications Office of the European Union, 2023)
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PublicationSMU Open-Source Platform for Synchronized Measurements( 2022)The ramping trend of cheap and performant single board computers (SBC) is growingly offering unprecedented opportunities in various domains, taking advantage of the widespread support and flexibility offered by an operating system (OS) environment. Unfortunately, data acquisition systems implemented in an OS environment are traditionally considered not to be suitable for reliable industrial applications. Such a position is supported by the lack of hardware interrupt handling and deterministic control of timed operations. In this study, the authors fill this gap by proposing an innovative and versatile SBC-based open-source platform for CPU-independent data acquisition. The synchronized measurement unit (SMU) is a high-accuracy device able to perform multichannel simultaneous sampling up to 200 kS/s with sub-microsecond synchronization precision to a GPS time reference. It exhibits very low offset and gain errors, with a minimum bandwidth beyond 20 kHz, SNR levels above 90 dB and THD as low as -110 dB. These features make the SMU particularly attractive for the power system domain, where synchronized measurements are increasingly required for the geographically distributed monitoring of grid operating conditions and power quality phenomena. We present the characterization of the SMU in terms of measurement and time synchronization accuracy, proving that this device, while low-cost, guarantees performance compliant with the requirements for synchrophasor-based applications in power systems.
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PublicationDigitalisierung des Energiesystems - 14 Thesen zum Erfolg(Fraunhofer CINES, 2022)
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PublicationAnalysis of a Power Distribution Network Multi-Area State Estimator with Secure Blockchain-Based Data Exchange( 2022)Distribution System State Estimation (DSSE) is an important monitoring tool for decision-making process. The need for data exchange between different actors imposes new requirements of data integrity and security, which can be fulfilled by Blockchain technology thanks to its distributed nature, transparency and immutability In this paper we quantify the time consumption and data exchange requirements between areas. Furthermore, we analyze the implication of Blockchain adoption as a secure data transfer technology, by testing a 2-step MASE algorithm communicated through the Blockchain, and comparing its performance with iterative data exchange methods already present in the literature. Finally, the results are analyzed in terms of storage capacity required for periodic state estimation, and the time required to get a final state-estimate considering the time constraints imposed by Blockchain Technology. Tests and results show different data publication methods for Blockchain adoption and bring quantitative results for the feasibility analysis, depending on the MASE algorithm adopted in the monitoring system.
