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Collaborative Modelling and Co-Simulation for Sector-Coupled Multi-Energy System Analysis with eASiMOV-eCoSim

Çakmak, Hüseyin Kemâl ORCID iD icon 1; Kocher, Alexander ORCID iD icon 1; Cheng, Haozhen ORCID iD icon 1; Kovačević, Jovana ORCID iD icon 1; Hagenmeyer, Veit ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)

Abstract:

eASiMOV-eCoSim presents a novel co-simulation framework for analyzing sector-coupled energy systems, integrating electricity, heat, gas, and mobility domains via Functional Mock-up Units (FMUs) compliant with FMI 3.0. The platform enables collaborative, cross-institutional development of multi-energy models through seamless interoperability with domain-specific tools (e.g., Python, MATLAB®, Modelica). Its primary innovation lies in high-resolution district and urban scale simulation, where individual buildings are represented as multi-physics units with embedded thermodynamics, electrical and thermal devices with controls, and energy conversion systems. These granular building models are dynamically coupled with local heat and electricity distribution networks.
A cloud-native architecture ensures computational scalability and supports the simultaneous co-simulation of a large number of coupled multi-physics models with deterministic synchronization between distributed engineering teams. Its modular design in terms of components and associated controllers facilitates energy system collaboration and provides a solid foundation for the development of innovative models and controllers. ... mehr


Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Audio & Video
Publikationsdatum 02.07.2025
Erstellungsdatum 01.07.2025
Sprache Englisch
DOI 10.5445/IR/1000182805
Identifikator KITopen-ID: 1000182805
HGF-Programm 37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Lizenz KITopen-Lizenz
Schlagwörter co-simulation, framework, district, urban, energy system analysis, sector coupling, building, multi-physics model, power grid, heat grid, distribution system, occupancy behavior
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