September 10-11, 2024
The 10th International Conference on Smart Energy Systems (SES) in Aalborg, Denmark, hosted a highly engaging and insightful presentation by Michael Bayer from the Lucerne School of Engineering and Architecture (HSLU), titled “Methodological development of a reduced-order data-driven model from detailed numerical simulations for seasonal Thermal Energy Storage (sTES)“.
Presentation highlights
Innovative Modeling Approach: The presentation showcased the development of a reduced-order, data-driven model for Seasonal Thermal Energy Storage (sTES). This model balances computational efficiency with accuracy, making it scalable for large-scale applications.
Demo Site Insights:
- inampus, Germany: Features a near-surface storage system using water-gravel medium with a capacity of 18,000 cubic meters, integrated with 5th-generation district heating and cooling systems.
- Varanto, Finland: The world’s largest sTES, using pressurized water in a deep cavern storage with a capacity of 1 million cubic meters.
Advanced Simulation Techniques: The model leverages COMSOL Multiphysics and Modelica to simulate thermal losses, energy balances, and temperature deviations. These tools enhance precision in predicting storage behavior under varying operational conditions.
Future Enhancements: Planned improvements include integrating different storage media, refining the model for faster simulations, and enabling real-time control through Model Predictive Control (MPC). These enhancements aim to make the system more versatile and accessible for widespread adoption.
More information about the SES conference and the project can be found on the Smarty Energy Systems Conference Website.
