Seiwerth C, Halikulov N, German R (2025)
Publication Type: Other publication type, Deliverable
Publication year: 2025
URI: https://doi.org/10.5281/zenodo.15268434
Open Access Link: https://doi.org/10.5281/zenodo.15268434
In Task Area 5 of NFDI4Energy, the primary goal is to develop a Simulation-as-a-Service (SimaaS) Hub that offers researchers flexible, interactive, and scalable simulation solutions tailored to the specific demands of energy system research. Within this scope, Measure 5.3 focuses on implementing SimaaS by integrating three simulation middlewares: mosaik, DaceDS, and VILLASframework. To enable seamless interoperability and functionality, each framework requires targeted extensions that enhance their adaptability to the SimaaS ecosystem and meet the requirements of energy researchers.
This paper presents the existing architecture of DaceDS and outlines the planned enhancements to adapt the framework for energy domain applications and seamless integration into SimaaS. Originally developed for the distributed simulation of traffic systems, DaceDS employs a data-centric architecture that facilitates parallel and distributed simulations. The planned improvements aim to extend its capabilities for energy research while addressing scalability, interoperability, and usability.
Key enhancements include integrating containerization technologies to establish a scalable and efficient simulation infrastructure. We add the support of ontologies to enhance interoperability and support the standardization of data and concepts across simulations. Additionally, new scenario-creation functionalities, supported by ontologies and large language models (LLMs), will significantly improve user experience.
To broaden the framework’s applicability, domain-specific simulators, such as PyPSA and pandapower, will be integrated, enabling DaceDS to address critical energy research challenges. These extensions not only improve the framework’s relevance to energy system research but also provide a robust foundation for incorporating community feedback and driving future development.
APA:
Seiwerth, C., Halikulov, N., & German, R. (2025). D5.3.3.1 Extending a Data-Centric Distributed Simulation Framework for the Energy Domain.
MLA:
Seiwerth, Corinna, Nurbek Halikulov, and Reinhard German. D5.3.3.1 Extending a Data-Centric Distributed Simulation Framework for the Energy Domain. 2025.
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