SEVENTH StoRIES TRANSNATIONAL ACCESS CALL
TNA Call No.: 7
Date of closing: 11.04.2025
Call topic: Computational studies on solutions for hybrid energy storage systems: Virtual access
Extraordinary call for proposals for virtual access to the infrastructure at Forschungszentrum Jülich
The call topic is open to different sources of innovation: self-driving labs for material research, development and testing of a component, modeling at the device or system components and the integration of the innovation in the energy system. ​
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The topic addresses the ingestion and transformation of performance and testing data as well as remote data visualization and condition monitoring of the electrochemical energy systems. Prognostics and Health Management (PHM) is crucial for the reliability and lifetime assurances of energy systems in the transition to clean energy era. In particular, the topic is encompassing the power of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR), all integrated in real-time with data extraction-transformation-load cycles (ETL/ELT), data models and cloud-hosted digital twins.
The proposed projects can represent one or more use cases in which XR can enable users to interact with digital twins of the hybrid energy storage technologies in an immersive and natural way. XR also allows the dynamical interaction and manipulation of digital twins, obtaining instant feedback. As the energy storage industry evolves with new technologies at its forefront, the seamless interaction of digital interaction for energy devices and systems in real- time becomes prudent.
About the infrastructure
The infrastructure is managed by Forschungszentrum Juelich GmbH under EU projects StoRIES. The infrastructure (XR4MAT) is an integrated mixed reality data visualization platform with capabilities in modeling, simulations and testing data acquisition, data augmentation and data visualization. The XR capabilities and native mobile/web apps are currently integrated with various AR/VR hardware specialized for real-time ingestion of testing data, analysis of performance data and connecting to characterization or fabrication labs, including self-driving robotics labs. The virtual environment is also supported by tools and data for creating digital twins at the cell, device and stack levels production.
NOW CLOSED
The specifications of the dedicated XR and data/AI infrastructure:
Applicants from academia, research institutions, SMEs and industry are invited to apply.
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Edge Computing Resources: Deployment of edge servers for real-time data processing to reduce latency and ensure efficient content delivery.
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Cloud-Native Integration: Integration with cloud infrastructures to handle large-scale data storage and computational needs.
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Free access to state-of-the art cloud-hosted data and (AI/ML/GenAI) model platform to manage and visualize data, deploy predictive models and share across different data hubs, including laboratories, equipment, instruments and energy (storage) devices or system.
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XR-Specific Hardware: Augmented Reality (AR) and Virtual Reality (VR) devices equipped with 6G-compatible interfaces for end-user interaction.
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API Interfaces: Custom APIs for real-time data synchronization between edge, cloud, and XR devices.
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Communication Interfaces: 65G connectivity interfaces to ensure seamless interaction between hardware and network.
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User Interfaces: XR-based user interfaces optimized for real-time interaction in virtual environments to set-up model parameters, run models and customize the dat visualizations at the edge.
When applying please address the following points
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In the proposal should be mentioned:
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In the proposal should be mentioned:
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The justification and clear needs for managing, visualization, augmentation and access to scattered data sets ( real-time, near-real time or historical data)
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Clearly describe the use case for XR capabilities (e.g. monitor performance data at the edge in real time toward building a digital twin model)
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Data storage and how it is currently managed, curated, ingested and transformed (e.g. batch, micro-batch)
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The readiness of the model, code to be used; in particular:
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Open source or commercial?
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License needed? If yes, the user must provide it.
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Target architecture of the computing resources (cpu only; cpu/gpu)
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Resources needed for a single simulation in terms of number of CPU cores and GPUs
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Disk space needed to store data input and output during the project
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Timeframe of the project
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If available, given the applicant has already used cloud or XR facilities with this code, some graphs on performance and scalability of the chosen code for the models to be simulated.
StoRIES Transnational Access
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enables research at 64 world-class European research infrastructures dealing with energy storage and linked topics (from battery materials to energy network design)
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is open and free to all researchers from academia and industry
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is supported by reimbursement of travel and accommodation costs for users
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calls for proposals will be published every 6 months from April 2022.
The pro-active innovation support team is available to advise potential users on the most suitable research infrastructures, assist in the submission of applications and answer any further questions about the TNA calls. Please contact them via our e-mail.
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See the results of past calls:
TNA Call 1: Application oriented hybrid and sustainable energy storage solutions
TNA Call 2: Solutions for hybrid energy storage systems to enable long-duration stationary storage
TNA Call 3: Solutions for hybrid energy storage systems
TNA Call 4: Solutions for hybrid energy storage systems
TNA Call 5: Solutions for hybrid energy storage systems
TNA Call 6: Computational studies on solutions for hybrid energy storage
